Science.gov

Sample records for generation information monitoring

  1. Summary and early findings from a second generation information monitoring and diagnostic system

    SciTech Connect

    Piette, Mary Ann; Kinney, Satkartar; Bourassa, Norman; Kinney, Kristopher L.; Shockman, Christine

    2003-04-02

    Private sector commercial office buildings are challenging environments for energy efficiency projects. This challenge is related to the complexity of business environments that involve ownership, operation, and tenant relationships. This research project was developed to examine the environment for building operations and identify causes of inefficient use of energy related to technical and organizational issues. This paper discusses a second-generation Information Monitoring and Diagnostic System (IMDS) installed at a leased office building in Sacramento, California. The underlying principle of this project is that high quality building performance data can help show where energy is being used and how buildings systems actually perform. Such data are an important first step toward improving building energy efficiency. This project has demonstrated that the IMDS is valuable to the building operators at the Sacramento site. The building operators not only accept the technology, but it has become the core of their day-to-day building control concepts. One objective of this project was to evaluate the costs and benefits of the IMDS. The system cost about $0.70 per square foot, which includes the design, hardware, software, and installation, which is about 30% less than the previous IMDS in San Francisco. A number of operational problems have been identified with the IMDS.

  2. Early evaluation of a second generation information monitoring and diagnostic system

    SciTech Connect

    Piette, Mary Ann; Kinney, Satkartar; Bourassa, Norman; Xu, Peng; Haves, Philip; Kinney, Kristopher; Shockman, Christine

    2002-03-25

    Private sector commercial office buildings are challenging environments for energy efficiency projects. This challenge is related to the complexity of business environments that involve ownership, operation, and tenant relationships. Whether it is poor quality design, inefficient operations, degradation of equipment over time, or merely the increasing use of energy by tenants and inattention from landlords, commercial office building energy use continues to increase. This research project was developed to examine the environment for building operations and identify causes of inefficient use of energy related to technical and organizational issues. This report discusses a second-generation Information Monitoring and Diagnostic System (IMDS) installed at a leased office building in Sacramento, California. The report begins with a brief summary of the IMDS research at the previous building, followed by a discussion of the building selection process, the IMDS design and installation, recent use of the IMDS, costs and benefits, and fault detection and diagnostic research using the IMDS. A web site describes the IMDS in detail (see imds.lbl.gov). The underlying principle of this research project is that high quality building performance data can help show where energy is being used and how buildings systems actually perform is an important first step toward improving building energy efficiency. The project utilizes a high-quality monitoring system that has been developed during the past decade by a partnership between LBNL and private industry. This research project has been successful in demonstrating that the IMDS is tremendously valuable to the building operators at the Sacramento site. The building operators not only accept the technology, but it has become the core of their day-to-day building control concepts. The innovative property management company, Jones Lang LaSalle, is interested in installing more sites to determine if the system could provide an economic

  3. MetaSurv: Web-Platform Generator for the Monitoring of Health Indicators and Interactive Geographical Information System.

    PubMed

    Toubiana, Laurent; Moreau, Stéphane; Bonnard, Gaétan

    2005-01-01

    The control of the transmissible epidemics of diseases requires fast and effective tools for data acquisition, analysis, and information feedback to the actors of health like to general public. We present a tool for the fast creation of platforms of monitoring on Internet allowing the collection and the analysis in real time of the epidemic data of any origin with the dynamic and interactive cartographic representation. A Web-based Geographic Information System (Web-GIS) has been designed for communicable diseases monitoring. The Web-GIS was coupled to a data warehouse and embedded in an n-tier architecture designed as the Multi-Source Information System. It allows to access views of communicable diseases. Thus it is a useful tool for supporting health care decision-making for communicable diseases.This tool is based on the 20 years experiment of the Network Sentinels, with the daily participation of the general practitioners.

  4. Next Generation Air Monitoring

    EPA Science Inventory

    Abstract. Air pollution measurement technology is advancing rapidly towards smaller-scale and wireless devices, with a potential to significantly change the landscape of air pollution monitoring. The U.S. EPA Office of Research and Development is evaluating and developing a rang...

  5. Next-generation air monitoring

    EPA Science Inventory

    Air pollution measurement technology is advancing rapidly towards smaller-scale and wireless devices, with a potential to significantly change the landscape of air pollution monitoring. EPA is evaluating and developing a range of next-generation air monitoring (NGAM) technologie...

  6. Generating 3D hyperspectral information with lightweight UAV snapshot cameras for vegetation monitoring: From camera calibration to quality assurance

    NASA Astrophysics Data System (ADS)

    Aasen, Helge; Burkart, Andreas; Bolten, Andreas; Bareth, Georg

    2015-10-01

    This paper describes a novel method to derive 3D hyperspectral information from lightweight snapshot cameras for unmanned aerial vehicles for vegetation monitoring. Snapshot cameras record an image cube with one spectral and two spatial dimensions with every exposure. First, we describe and apply methods to radiometrically characterize and calibrate these cameras. Then, we introduce our processing chain to derive 3D hyperspectral information from the calibrated image cubes based on structure from motion. The approach includes a novel way for quality assurance of the data which is used to assess the quality of the hyperspectral data for every single pixel in the final data product. The result is a hyperspectral digital surface model as a representation of the surface in 3D space linked with the hyperspectral information emitted and reflected by the objects covered by the surface. In this study we use the hyperspectral camera Cubert UHD 185-Firefly, which collects 125 bands from 450 to 950 nm. The obtained data product has a spatial resolution of approximately 1 cm for the spatial and 21 cm for the hyperspectral information. The radiometric calibration yields good results with less than 1% offset in reflectance compared to an ASD FieldSpec 3 for most of the spectral range. The quality assurance information shows that the radiometric precision is better than 0.13% for the derived data product. We apply the approach to data from a flight campaign in a barley experiment with different varieties during the growth stage heading (BBCH 52 - 59) to demonstrate the feasibility for vegetation monitoring in the context of precision agriculture. The plant parameters retrieved from the data product correspond to in-field measurements of a single date field campaign for plant height (R2 = 0.7), chlorophyll (BGI2, R2 = 0.52), LAI (RDVI, R2 = 0.32) and biomass (RDVI, R2 = 0.29). Our approach can also be applied for other image-frame cameras as long as the individual bands of the

  7. Next generation information systems

    SciTech Connect

    Limback, Nathan P; Medina, Melanie A; Silva, Michelle E

    2010-01-01

    The Information Systems Analysis and Development (ISAD) Team of the Safeguards Systems Group at Los Alamos National Laboratory (LANL) has been developing web based information and knowledge management systems for sixteen years. Our vision is to rapidly and cost effectively provide knowledge management solutions in the form of interactive information systems that help customers organize, archive, post and retrieve nonproliferation and safeguards knowledge and information vital to their success. The team has developed several comprehensive information systems that assist users in the betterment and growth of their organizations and programs. Through our information systems, users are able to streamline operations, increase productivity, and share and access information from diverse geographic locations. The ISAD team is also producing interactive visual models. Interactive visual models provide many benefits to customers beyond the scope of traditional full-scale modeling. We have the ability to simulate a vision that a customer may propose, without the time constraints of traditional engineering modeling tools. Our interactive visual models can be used to access specialized training areas, controlled areas, and highly radioactive areas, as well as review site-specific training for complex facilities, and asset management. Like the information systems that the ISAD team develops, these models can be shared and accessed from any location with access to the internet. The purpose of this paper is to elaborate on the capabilities of information systems and interactive visual models as well as consider the possibility of combining the two capabilities to provide the next generation of infonnation systems. The collection, processing, and integration of data in new ways can contribute to the security of the nation by providing indicators and information for timely action to decrease the traditional and new nuclear threats. Modeling and simulation tied to comprehensive

  8. Printing and Publishing Monitoring Information

    EPA Pesticide Factsheets

    Stationary source emissions monitoring is required to demonstrate that a source is meeting the requirements in Federal or state rules. This page covers monitoring information specific to the printing and publishing industry.

  9. Groundwater Monitoring Report Generation Tools - 12005

    SciTech Connect

    Lopez, Natalie

    2012-07-01

    Compliance with National and State environmental regulations (e.g. Resource Conservation and Recovery Act (RCRA) and Comprehensive Environmental Response, Compensation, and Liability Act (CERCLA) aka SuperFund) requires Savannah River Site (SRS) to extensively collect and report groundwater monitoring data, with potential fines for missed reporting deadlines. Several utilities have been developed at SRS to facilitate production of the regulatory reports which include maps, data tables, charts and statistics. Components of each report are generated in accordance with complex sets of regulatory requirements specific to each site monitored. SRS developed a relational database to incorporate the detailed reporting rules with the groundwater data, and created a set of automation tools to interface with the information and generate the report components. These process improvements enhanced quality and consistency by centralizing the information, and have reduced manpower and production time through automated efficiencies. (author)

  10. GROUNDWATER MONITORING REPORT GENERATION TOOLS - 12005

    SciTech Connect

    Lopez, N.

    2011-11-21

    Compliance with National and State environmental regulations (e.g. Resource Conservation and Recovery Act (RCRA) and Comprehensive Environmental Response, Compensation, and Liability Act (CERCLA) aka SuperFund) requires Savannah River Site (SRS) to extensively collect and report groundwater monitoring data, with potential fines for missed reporting deadlines. Several utilities have been developed at SRS to facilitate production of the regulatory reports which include maps, data tables, charts and statistics. Components of each report are generated in accordance with complex sets of regulatory requirements specific to each site monitored. SRS developed a relational database to incorporate the detailed reporting rules with the groundwater data, and created a set of automation tools to interface with the information and generate the report components. These process improvements enhanced quality and consistency by centralizing the information, and have reduced manpower and production time through automated efficiencies.

  11. Ecological Monitoring Information System (EMIS).

    ERIC Educational Resources Information Center

    Fiene, Richard John; And Others

    A system for evaluating and monitoring child development projects, with possible computerization capabilities, was developed for the State of Pennsylvania in connection with 26 child development projects funded by the Appalachian Regional Commission. The Ecological Monitoring Information System (EMIS), provides a series of ecological measurement…

  12. Vertical hydraulic generators experience with dynamic air gap monitoring

    SciTech Connect

    Pollock, G.B.; Lyles, J.F )

    1992-12-01

    Until recently, dynamic monitoring of the rotor to stator air gap of hydraulic generators was not practical. Cost effective and reliable dyamic air gap monitoring equipment has been developed in recent years. Dynamic air gap monitoring was originally justified because of the desire of the owner to minimize the effects of catastrophic air gap failure. However, monitoring air gaps on a time basis has been shown to be beneficial by assisting in the assessment of hydraulic generator condition. The air gap monitor provides useful information on rotor and stator condition and generator vibration. The data generated by air gap monitors will assist managers in the decision process with respect to the timing and extent of required maintenance for a particular generating unit.

  13. Owl: Next Generation System Monitoring

    SciTech Connect

    Schulz, M; White, B S; McKee, S A; Lee, H S; Jeitner, J

    2005-02-16

    As microarchitectural and system complexity grows, comprehending system behavior becomes increasingly difficult, and often requires obtaining and sifting through voluminous event traces or coordinating results from multiple, non-localized sources. Owl is a proposed framework that overcomes limitations faced by traditional performance counters and monitoring facilities in dealing with such complexity by pervasively deploying programmable monitoring elements throughout a system. The design exploits reconfigurable or programmable logic to realize hardware monitors located at event sources, such as memory buses. These monitors run and writeback results autonomously with respect to the CPU, mitigating the system impact of interrupt-driven monitoring or the need to communicate irrelevant events to higher levels of the system. The monitors are designed to snoop any kind of system transaction, e.g., within the core, on a bus, across the wire, or within I/O devices.

  14. Surfactant monitoring by foam generation

    DOEpatents

    Mullen, Ken I.

    1997-01-01

    A device for monitoring the presence or absence of active surfactant or other surface active agents in a solution or flowing stream based on the formation of foam or bubbles is presented. The device detects the formation of foam with a light beam or conductivity measurement. The height or density of the foam can be correlated to the concentration of the active surfactant present.

  15. Safety monitoring system for radioisotope thermoelectric generators

    NASA Technical Reports Server (NTRS)

    Zoltan, A.

    1973-01-01

    System alerts personnel of hazards which may develop while they are performing tests on radioisotope thermoelectric generator (RTG). Remedial action is initiated to minimize damage. Five operating conditions are monitored: hot junction temperature, cold junction temperature, thermal shroud coolant flow, vacuum in test chamber, and alpha radiation.

  16. Condition monitoring system of wind turbine generators

    NASA Astrophysics Data System (ADS)

    Abdusamad, Khaled B.

    The development and implementation of the condition monitoring systems (CMS) play a significant role in overcoming the number of failures in the wind turbine generators that result from the harsh operation conditions, such as over temperature, particularly when turbines are deployed offshore. In order to increase the reliability of the wind energy industry, monitoring the operation conditions of wind generators is essential to detect the immediate faults rapidly and perform appropriate preventative maintenance. CMS helps to avoid failures, decrease the potential shutdowns while running, reduce the maintenance and operation costs and maintain wind turbines protected. The knowledge of wind turbine generators' faults, such as stator and rotor inter-turn faults, is indispensable to perform the condition monitoring accurately, and assist with maintenance decision making. Many techniques are utilized to avoid the occurrence of failures in wind turbine generators. The majority of the previous techniques that are applied to monitor the wind generator conditions are based on electrical and mechanical concepts and theories. An advanced CMS can be implemented by using a variety of different techniques and methods to confirm the validity of the obtained electrical and mechanical condition monitoring algorithms. This thesis is focused on applying CMS on wind generators due to high temperature by contributing the statistical, thermal, mathematical, and reliability analyses, and mechanical concepts with the electrical methodology, instead of analyzing the electrical signal and frequencies trends only. The newly developed algorithms can be compared with previous condition monitoring methods, which use the electrical approach in order to establish their advantages and limitations. For example, the hazard reliability techniques of wind generators based on CMS are applied to develop a proper maintenance strategy, which aims to extend the system life-time and reduce the potential

  17. Development of living body information monitoring system

    NASA Astrophysics Data System (ADS)

    Sakamoto, Hidetoshi; Ohbuchi, Yoshifumi; Torigoe, Ippei; Miyagawa, Hidekazu; Murayama, Nobuki; Hayashida, Yuki; Igasaki, Tomohiko

    2010-03-01

    The easy monitoring systems of contact and non-contact living body information for preventing the the Sudden Infant Death Syndrome (SIDS) were proposed as an alternative monitoring system of the infant's vital information. As for the contact monitoring system, respiration sensor, ECG electrodes, thermistor and IC signal processor were integrated into babies' nappy holder. This contact-monitoring unit has RF transmission function and the obtained data are analyzed in real time by PC. In non-contact mortaring system, the infrared thermo camera was used. The surrounding of the infant's mouth and nose is monitored and the respiration rate is obtained by thermal image processing of its temperature change image of expired air. This proposed system of in-sleep infant's vital information monitoring system and unit are very effective as not only infant's condition monitoring but also nursing person's one.

  18. Development of living body information monitoring system

    NASA Astrophysics Data System (ADS)

    Sakamoto, Hidetoshi; Ohbuchi, Yoshifumi; Torigoe, Ippei; Miyagawa, Hidekazu; Murayama, Nobuki; Hayashida, Yuki; Igasaki, Tomohiko

    2009-12-01

    The easy monitoring systems of contact and non-contact living body information for preventing the the Sudden Infant Death Syndrome (SIDS) were proposed as an alternative monitoring system of the infant's vital information. As for the contact monitoring system, respiration sensor, ECG electrodes, thermistor and IC signal processor were integrated into babies' nappy holder. This contact-monitoring unit has RF transmission function and the obtained data are analyzed in real time by PC. In non-contact mortaring system, the infrared thermo camera was used. The surrounding of the infant's mouth and nose is monitored and the respiration rate is obtained by thermal image processing of its temperature change image of expired air. This proposed system of in-sleep infant's vital information monitoring system and unit are very effective as not only infant's condition monitoring but also nursing person's one.

  19. Spatial and temporal information fusion for crop condition monitoring

    Technology Transfer Automated Retrieval System (TEKTRAN)

    Crop growth condition information is critical for crop management and yield estimation. In order to monitor crop conditions from space, high spatial and temporal resolution remote sensing data are required. Data fusion approach provides a way to generate such data set from multiple remote sensing da...

  20. User-Generated Terrain Information

    DTIC Science & Technology

    2013-04-26

    15230406.2013.777139 04/26/2013 12.00 Michael F. Goodchild. The future of Digital Earth, Annals of GIS , (06 2012): 0. doi: 10.1080/19475683.2012.668561 08/15/2011...4.00 Linna Li, Michael F. Goodchild. The role of social networks in emergency management : a research agenda., International Journal of Information...Systems for Crisis Response and Management , (10 2010): 49. doi: 08/22/2012 8.00 Michael F. Goodchild, Linna Li. Assuring the quality of volunteered

  1. Understanding user needs for carbon monitoring information

    NASA Astrophysics Data System (ADS)

    Duren, R. M.; Macauley, M.; Gurney, K. R.; Saatchi, S. S.; Woodall, C. W.; Larsen, K.; Reidmiller, D.; Hockstad, L.; Weitz, M.; Croes, B.; Down, A.; West, T.; Mercury, M.

    2015-12-01

    The objectives of the Understanding User Needs project for NASA's Carbon Monitoring System (CMS) program are to: 1) engage the user community and identify needs for policy-relevant carbon monitoring information, 2) evaluate current and planned CMS data products with regard to their value for decision making, and 3) explore alternative methods for visualizing and communicating carbon monitoring information and associated uncertainties to decision makers and other stakeholders. To meet these objectives and help establish a sustained link between science and decision-making we have established a multi-disciplinary team that combines expertise in carbon-cycle science, engineering, economics, and carbon management and policy. We will present preliminary findings regarding emerging themes and needs for carbon information that may warrant increased attention by the science community. We will also demonstrate a new web-based tool that offers a common framework for facilitating user evaluation of carbon data products from multiple CMS projects.

  2. Information security implementations for remote monitoring

    SciTech Connect

    Nilsen, C.A.

    1997-10-01

    In September 1993, President Clinton stated the United States would ensure that its fissile material meet the {open_quotes}highest standards of safety, security, and international accountability.{close_quotes} Frequent human inspection of the material could be used to ensure these standards. However, it may be more effective and less expensive to replace these manual inspections with virtual inspections via remote monitoring technologies. A successful implementation of a comprehensive remote monitoring system, however, requires significant attention to a variety of information security issues. In pursuing Project Straight-Line and the follow-on Storage Monitoring System, Sandia National Laboratories developed remote monitoring implementations that can satisfy a variety of information security requirements. Special emphasis was given to developing methods for using the Internet to disseminate the data securely. This paper describes the various information security implementations applied to the Project Straight-Line and the Storage Monitoring System. Also included is a discussion of the security provided by the Windows NT operating system.

  3. Integrated condition monitoring of space information network

    NASA Astrophysics Data System (ADS)

    Wang, Zhilin; Li, Xinming; Li, Yachen; Yu, Shaolin

    2015-11-01

    In order to solve the integrated condition monitoring problem in space information network, there are three works finished including analyzing the characteristics of tasks process and system health monitoring, adopting the automata modeling method, and respectively establishing the models for state inference and state determination. The state inference model is a logic automaton and is gotten by concluding engineering experiences. The state determination model is a double-layer automaton, the lower automaton is responsible for parameter judge and the upper automaton is responsible for state diagnosis. At last, the system state monitoring algorithm has been proposed, which realizes the integrated condition monitoring for task process and system health, and can avoid the false alarm.

  4. Engineering Task Plan for Fourth Generation Hanford Corrosion Monitoring System

    SciTech Connect

    NORMAN, E.C.

    2000-06-20

    This Engineering Task Plan (ETP) describes the activities associated with the installation of cabinets containing corrosion monitoring equipment on tanks 241-AN-102 and 241-AN-107. The new cabinets (one per tank) will be installed adjacent to existing corrosion probes already installed in riser WST-RISER-016 on both tanks. The corrosion monitoring equipment to be installed utilizes the technique of electrochemical noise (EN) for monitoring waste tank corrosion. Typically, EN consists of low frequency (4 Hz) and small amplitude signals that are spontaneously generated by electrochemical reactions occurring at corroding or other surfaces. EN analysis is well suited for monitoring and identifying the onset of localized corrosion, and for measuring uniform corrosion rates. A typical EN based corrosion-monitoring system measures instantaneous fluctuations in corrosion current and potential between three nominally identical electrodes of the material of interest immersed in the environment of interest. Time-dependent fluctuations in corrosion current are described by electrochemical current noise, and time-dependent fluctuations of corrosion potential are described by electrochemical noise. The corrosion monitoring systems are designed to detect the onset of localized corrosion phenomena if tank conditions should change to allow these phenomena to occur. In addition to the EN technique, the systems also facilitate the use of the Linear Polarization Resistance (LPR) technique to collect uniform corrosion rate information. LPR measures the linearity at the origin of the polarization curve for overvoltages up to a few millivolts away from the rest potential or natural corrosion potential. The slope of the current vs. voltage plot gives information on uniform corrosion rates.

  5. The New Generation of Information Systems.

    ERIC Educational Resources Information Center

    Grunwald, Peter

    1990-01-01

    A new generation of home-use electronic information systems could help transform American schooling. These services reach beyond computer enthusiasts, using various combinations of mass marketing techniques, attractive graphics, easy-to-use controls, localized information, low-cost access, and dedicated terminals. Representative samples include…

  6. Basic Information about Air Emissions Monitoring

    EPA Pesticide Factsheets

    This site is about types of air emissions monitoring and the Clean Air Act regulations, including Ambient Air Quality Monitoring, Stationary Source Emissions Monitoring, and Continuous Monitoring Systems.

  7. Next generation of global land cover characterization, mapping, and monitoring

    NASA Astrophysics Data System (ADS)

    Giri, C.; Pengra, B.; Long, J.; Loveland, T. R.

    2013-12-01

    Land cover change is increasingly affecting the biophysics, biogeochemistry, and biogeography of the Earth's surface and the atmosphere, with far-reaching consequences to human well-being. However, our scientific understanding of the distribution and dynamics of land cover and land cover change (LCLCC) is limited. Previous global land cover assessments performed using coarse spatial resolution (300 m-1 km) satellite data did not provide enough thematic detail or change information for global change studies and for resource management. High resolution (˜30 m) land cover characterization and monitoring is needed that permits detection of land change at the scale of most human activity and offers the increased flexibility of environmental model parameterization needed for global change studies. However, there are a number of challenges to overcome before producing such data sets including unavailability of consistent global coverage of satellite data, sheer volume of data, unavailability of timely and accurate training and validation data, difficulties in preparing image mosaics, and high performance computing requirements. Integration of remote sensing and information technology is needed for process automation and high-performance computing needs. Recent developments in these areas have created an opportunity for operational high resolution land cover mapping, and monitoring of the world. Here, we report and discuss these advancements and opportunities in producing the next generations of global land cover characterization, mapping, and monitoring at 30-m spatial resolution primarily in the context of United States, Group on Earth Observations Global 30 m land cover initiative (UGLC).

  8. The information cycle as a framework for defining information goals for water-quality monitoring

    SciTech Connect

    Timmerman, J.G.; Ottens, J.J.; Ward, R.C.

    2000-03-01

    The necessity to tailor information becomes increasingly urgent as the information revolution continues to generate every-increasing flows of data and so-called information. From European experiences, a new approach for monitoring system design is suggested in this paper. In this approach, careful and detailed specification of information needs is a major contributing factor to the effectiveness of information products. To develop better specifications for information products, the process of collecting and transforming data into useful information requires careful thought and guidance. A dialogue between information users on one hand and information producers on the other is essential. This dialogue can be based on the information cycle, describing the continuous process from specifying information needs for water management and a strategy to collect information through data collection and data analysis up to utilization of information by water management. By following the respective steps in the information cycle, the process of information gathering can be completed. The cyclic character provides a quantitative means of connecting monitoring system design and operations with the information expectations and/or products required by management.

  9. An Intelligent CAI Monitor and Generative Tutor. Interim Report.

    ERIC Educational Resources Information Center

    Koffman, Elliot B.; And Others

    Design techniques for generative computer-assisted-instructional (CAI) systems are described in this report. These are systems capable of generating problems for students and of deriving and monitoring solutions; problem difficulty, instructional pace, and depth of monitoring are all individually tailored and parts of the solution algorithms can…

  10. Summary Report on Beam and Radiation Generation, Monitoring and Control

    SciTech Connect

    Gordon, D. F.; Power, J. G.

    2009-01-22

    The discussions of the working group on beam and radiation generation, monitoring, and control (working group 6) at the 2008 advanced accelerator concepts workshop are summarized. The discussions concerned electron injectors, phase space manipulation, beam diagnostics, pulse train generation, intense beam physics, and radiation generation.

  11. Information processing for aerospace structural health monitoring

    NASA Astrophysics Data System (ADS)

    Lichtenwalner, Peter F.; White, Edward V.; Baumann, Erwin W.

    1998-06-01

    Structural health monitoring (SHM) technology provides a means to significantly reduce life cycle of aerospace vehicles by eliminating unnecessary inspections, minimizing inspection complexity, and providing accurate diagnostics and prognostics to support vehicle life extension. In order to accomplish this, a comprehensive SHM system will need to acquire data from a wide variety of diverse sensors including strain gages, accelerometers, acoustic emission sensors, crack growth gages, corrosion sensors, and piezoelectric transducers. Significant amounts of computer processing will then be required to convert this raw sensor data into meaningful information which indicates both the diagnostics of the current structural integrity as well as the prognostics necessary for planning and managing the future health of the structure in a cost effective manner. This paper provides a description of the key types of information processing technologies required in an effective SHM system. These include artificial intelligence techniques such as neural networks, expert systems, and fuzzy logic for nonlinear modeling, pattern recognition, and complex decision making; signal processing techniques such as Fourier and wavelet transforms for spectral analysis and feature extraction; statistical algorithms for optimal detection, estimation, prediction, and fusion; and a wide variety of other algorithms for data analysis and visualization. The intent of this paper is to provide an overview of the role of information processing for SHM, discuss various technologies which can contribute to accomplishing this role, and present some example applications of information processing for SHM implemented at the Boeing Company.

  12. Automatic Building Information Model Query Generation

    SciTech Connect

    Jiang, Yufei; Yu, Nan; Ming, Jiang; Lee, Sanghoon; DeGraw, Jason; Yen, John; Messner, John I.; Wu, Dinghao

    2015-12-01

    Energy efficient building design and construction calls for extensive collaboration between different subfields of the Architecture, Engineering and Construction (AEC) community. Performing building design and construction engineering raises challenges on data integration and software interoperability. Using Building Information Modeling (BIM) data hub to host and integrate building models is a promising solution to address those challenges, which can ease building design information management. However, the partial model query mechanism of current BIM data hub collaboration model has several limitations, which prevents designers and engineers to take advantage of BIM. To address this problem, we propose a general and effective approach to generate query code based on a Model View Definition (MVD). This approach is demonstrated through a software prototype called QueryGenerator. By demonstrating a case study using multi-zone air flow analysis, we show how our approach and tool can help domain experts to use BIM to drive building design with less labour and lower overhead cost.

  13. Next Generation Air Monitoring (NGAM) VOC Sensor Evaluation Report

    EPA Science Inventory

    This report summarizes the results of next generation air monitor (NGAM) volatile organic compound (VOC) evaluations performed using both laboratory as well as field scale settings. These evaluations focused on challenging lower cost (<$2500) NGAM technologies to either controlle...

  14. Can information technology improve the performance of remote monitoring systems?

    PubMed

    Bas, Marian; Ten, Jose Ignacio; Bover, Ramon; Cañadas, Victoria; Ruiz, Ana Maria; Perez-Villacastin, Julián; Rodriguez, Carlos

    2010-11-01

    Despite some clinical, economic, and other qualitative advantages associated with remote cardiac device monitoring systems, one of the main challenges concerns the management of the out-of-hospital data. Manual updating of hospital databases with the data stored in the manufacturers' servers increases time requirements and may introduce mistakes in the entries. The use of communication standards such as Health Level 7 for data interchange could provide a safe and easy way to access patient and device information. The present study of 38 patients was carried out with the Carelink® remote monitoring technology. A formal process for remote cardiac device monitoring was established, including some features in the Arrhythmias Information System: mobile phone and e-mail were included for communication between patients and hospital, with a new gateway for automatic message sending. Device reports generated through the manufacturer's application were attached to the patient's record. Once the information concerning the transmission session was reviewed, the physician made a medical report, which was sent via post and e-mail to the patient. A new interface was created for Health Level 7 communication with the manufacturers' applications, so that the Arrhythmias Information System could automatically interchange information concerning the device and/or the patient when this kind of communication system is available. The volume of data generated by system warning alerts and transmission sessions makes it very difficult to meet the hospital database updating requirements. Standard-based communication between hospital and manufacturers' applications is fundamental to automatic and reliable update of data.

  15. Next generation nano-contamination monitoring

    NASA Astrophysics Data System (ADS)

    Kochevar, Steven; Pietrykowski, Thomas; Rodier, Dan

    2012-10-01

    Current particle counting techniques employ common technologies: lasers, detectors, and optics. The theory of light scattering and particles is well known, and is standard in most particle counters. However, the need to detect smaller particles (nanoparticles) challenges the technological limits of traditional light-scattering techniques. Counting nanoparticles in liquids offers unique problems because of the intensity of scattered light from the particles relative to the light scattered by the fluid and flow cell. Consequently, the particle may be lost in the background noise. New technologies employ sophisticated detection elements and high-powered lasers to provide three-dimensional particle signatures and real-time videos as the particle passes through the laser. Aerosol nanoparticle counting offers the challenge of light scatter in an open sample chamber. Simply, the nanoparticles are too small to be effectively illuminated by lasers, so a new technique employs dynamic mobility to classify specific particle sizes. This technique can provide particle counting - and accurate particle size classification - down to 5 nm. Employing traditional optical particle counting technology is not efficient for detecting nanoparticles, but new technologies can meet these challenges. When combined with other support equipment (e.g. WiFi, software, etc.), new technologies provide innovative techniques for monitoring nanoparticles and managing nano-contamination in clean environments.

  16. An online technique for condition monitoring the induction generators used in wind and marine turbines

    NASA Astrophysics Data System (ADS)

    Yang, Wenxian; Tavner, P. J.; Court, R.

    2013-07-01

    Induction generators have been successfully applied to a variety of industries. However, their operation and maintenance in renewable wind and marine energy industries still face challenges due to harsh environments, limited access to site and relevant reliability issues. Hence, further enhancing their condition monitoring is regarded as one of the essential measures for improving their availability. To date, much effort has been made to monitor induction motors, which can be equally applied to monitoring induction generators. However, the achieved techniques still have constrains in particular when dealing with the condition monitoring problems in wind and marine turbine generators. For example, physical measurements of partial discharge, noise and temperature have been widely applied to monitoring induction machinery. They are simple and cost-effective, but unable to be used for fault diagnosis. The spectral analysis of vibration and stator current signals is also a mature technique popularly used in motor/generator condition monitoring practice. However, it often requires sufficient expertise for data interpretation, and significant pre-knowledge about the machines and their components. In particular in renewable wind and marine industries, the condition monitoring results are usually coupled with load variations, which further increases the difficulty of obtaining a reliable condition monitoring result. In view of these issues, a new condition monitoring technique is developed in this paper dedicated for wind and marine turbine generators. It is simple, informative and less load-dependent thus more reliable to deal with the online motor/generator condition monitoring problems under varying loading conditions. The technique has been verified through both simulated and practical experiments. It has been shown that with the aid of the proposed technique, not only the electrical faults but also the shaft unbalance occurring in the generator become detectable

  17. The 2nd Generation Real Time Mission Monitor (RTMM) Development

    NASA Technical Reports Server (NTRS)

    Blakeslee, Richard; Goodman, Michael; Meyer, Paul; Hardin, Danny; Hall, John; He, Yubin; Regner, Kathryn; Conover, Helen; Smith, Tammy; Lu, Jessica; Garrett, Michelle

    2009-01-01

    The NASA Real Time Mission Monitor (RTMM) is a visualization and information system that fuses multiple Earth science data sources, to enable real time decisionmaking for airborne and ground validation experiments. Developed at the National Aeronautics and Space Administration (NASA) Marshall Space Flight Center, RTMM is a situational awareness, decision-support system that integrates satellite imagery and orbit data, radar and other surface observations (e.g., lightning location network data), airborne navigation and instrument data sets, model output parameters, and other applicable Earth science data sets. The integration and delivery of this information is made possible using data acquisition systems, network communication links, network server resources, and visualizations through the Google Earth virtual globe application. In order to improve the usefulness and efficiency of the RTMM system, capabilities are being developed to allow the end-user to easily configure RTMM applications based on their mission-specific requirements and objectives. This second generation RTMM is being redesigned to take advantage of the Google plug-in capabilities to run multiple applications in a web browser rather than the original single application Google Earth approach. Currently RTMM employs a limited Service Oriented Architecture approach to enable discovery of mission specific resources. We are expanding the RTMM architecture such that it will more effectively utilize the Open Geospatial Consortium Sensor Web Enablement services and other new technology software tools and components. These modifications and extensions will result in a robust, versatile RTMM system that will greatly increase flexibility of the user to choose which science data sets and support applications to view and/or use. The improvements brought about by RTMM 2nd generation system will provide mission planners and airborne scientists with enhanced decision-making tools and capabilities to more

  18. Systems engineering approach towards performance monitoring of emergency diesel generator

    SciTech Connect

    Ramli, Nurhayati Yong-kwan, Lee

    2014-02-12

    Systems engineering is an interdisciplinary approach and means to enable the realization of successful systems. In this study, systems engineering approach towards the performance monitoring of Emergency Diesel Generator (EDG) is presented. Performance monitoring is part and parcel of predictive maintenance where the systems and components conditions can be detected before they result into failures. In an effort to identify the proposal for addressing performance monitoring, the EDG boundary has been defined. Based on the Probabilistic Safety Analysis (PSA) results and industry operating experiences, the most critical component is identified. This paper proposed a systems engineering concept development framework towards EDG performance monitoring. The expected output of this study is that the EDG reliability can be improved by the performance monitoring alternatives through the systems engineering concept development effort.

  19. Techniques for the generation and monitoring of vapors

    SciTech Connect

    Nelson, G.O.

    1981-02-06

    Controlled test atmospheres can be produced using a variety of techniques. Gases are usually generated by using flow dilution methods while vapors are produced by using solvent injection and vaporization, saturation, permeation and diffusion techniques. The resulting gas mixtures can be monitored and measured using flame ionization, photoionization, electrochemical and infrared analytical systems. An ideal system for the production of controlled test atmospheres would not only be able to generate controlled test atmospheres, but also monitor all pertinent environmental parameters, such as temperature, humidity, and air flow.

  20. Securing information using optically generated biometric keys

    NASA Astrophysics Data System (ADS)

    Verma, Gaurav; Sinha, Aloka

    2016-11-01

    In this paper, we present a new technique to obtain biometric keys by using the fingerprint of a person for an optical image encryption system. The key generation scheme uses the fingerprint biometric information in terms of the amplitude mask (AM) and the phase mask (PM) of the reconstructed fingerprint image that is implemented using the digital holographic technique. Statistical tests have been conducted to check the randomness of the fingerprint PM key that enables its usage as an image encryption key. To explore the utility of the generated biometric keys, an optical image encryption system has been further demonstrated based on the phase retrieval algorithm and the double random phase encoding scheme in which keys for the encryption are used as the AM and the PM key. The advantage associated with the proposed scheme is that the biometric keys’ retrieval requires the simultaneous presence of the fingerprint hologram and the correct knowledge of the reconstruction parameters at the decryption stage, which not only verifies the authenticity of the person but also protects the valuable fingerprint biometric features of the keys. Numerical results are carried out to prove the feasibility and the effectiveness of the proposed encryption system.

  1. Recognition of Computer-Generated Pictures on Monochrome Monitors.

    ERIC Educational Resources Information Center

    Baker, Patti R.; And Others

    1985-01-01

    This study investigated whether second, third, and fourth graders could recognize microcomputer-generated color graphics displayed on monochromatic monitors. It was found that subjects were unable to discern critical features of a color graphic displayed on a monochromatic screen unless it was designed to enhance figure/ground separation.…

  2. Feasibility demonstration of a second-generation electronic monitoring system

    NASA Astrophysics Data System (ADS)

    Murphy, John H.

    1997-02-01

    First generation electronic monitoring systems are being used by the criminal justice system to effect behavioral modifications of persons in pre-trial release programs, on parole, and on probation. Current systems are merely radio frequency proximity detection systems that operate over limited ranges, on the order of 45 to 70 meters. One major defect with proximity detection systems is that when the offenders leave the area being monitored, there is no way to ensure that the offenders travel where they should. As a result, the first generation electronic monitoring systems are only applied to a restricted number of low risk cases. There is a growing need for a second generation electronic monitoring system which utilizes community-wide tracking and location technologies to increase the public safety and to expand the number of offenders monitored by these systems. Even though GPS (Global Positioning System) is rapidly becoming the technology of choice for vehicle tracking and location, GPS is not an ideal candidate for the second generation electronic monitoring system. Urban environments prevent GPS systems from providing continuous and accurate location service due to satellite occlusion by obstacles such as: hills, mountains, vehicles, buildings, and trees. An inverse-GPS approach which overcomes these urban environment related limitations has been evaluated by Northrop Grumman as a means to track people. This paper presents the results of a National Institute of Justice funded program to demonstrate in downtown Pittsburgh the feasibility of spread spectrum based time-of-arrival location systems for intelligently tracking people on probation and parole.

  3. Monitoring Information By Industry - Printing and Publishing

    EPA Pesticide Factsheets

    Stationary source emissions monitoring is required to demonstrate that a source is meeting the requirements in Federal or state rules. This page is about control techniques used to reduce pollutant emissions in the printing and publishing industry.

  4. The 2nd Generation Real Time Mission Monitor (RTMM) Development

    NASA Astrophysics Data System (ADS)

    Blakeslee, R. J.; Goodman, M.; Hardin, D. M.; Hall, J.; Yubin He, M.; Regner, K.; Conover, H.; Smith, T.; Meyer, P.; Lu, J.; Garrett, M.

    2009-12-01

    The NASA Real Time Mission Monitor (RTMM) is a visualization and information system that fuses multiple Earth science data sources, to enable real time decision-making for airborne and ground validation experiments. Developed at the National Aeronautics and Space Administration (NASA) Marshall Space Flight Center, RTMM is a situational awareness, decision-support system that integrates satellite imagery and orbit data, radar and other surface observations (e.g., lightning location network data), airborne navigation and instrument data sets, model output parameters, and other applicable Earth science data sets. The integration and delivery of this information is made possible using data acquisition systems, network communication links, network server resources, and visualizations through the Google Earth virtual globe application. In order to improve the usefulness and efficiency of the RTMM system, capabilities are being developed to allow the end-user to easily configure RTMM applications based on their mission-specific requirements and objectives. This second generation RTMM is being redesigned to take advantage of the Google plug-in capabilities to run multiple applications in a web browser rather than the original single application Google Earth approach. Currently RTMM employs a limited Service Oriented Architecture approach to enable discovery of mission specific resources. We are expanding the RTMM architecture such that it will more effectively utilize the Open Geospatial Consortium Sensor Web Enablement services and other new technology software tools and components. These modifications and extensions will result in a robust, versatile RTMM system that will greatly increase flexibility of the user to choose which science data sets and support applications to view and/or use. The improvements brought about by RTMM 2nd generation system will provide mission planners and airborne scientists with enhanced decision-making tools and capabilities to more

  5. Next Generation Patient Monitor Powered by In-Silico Physiology

    PubMed Central

    Baronov, Dimitar; McManus, Michael; Butler, Evan; Chung, Douglas; Almodovar, Melvin C.

    2015-01-01

    The goal of this paper is to introduce a next generation patient monitoring technology that relies on objective and continuous data analytics to alleviate the data overload in the critical care unit. The technology provides the foundation for increasing the consistency and efficacy of data use in clinical practice and improving outcomes. This paper presents results for applying the approach to the hemodynamic monitoring of infants immediately following cardiac surgery and demonstrates its efficacy of estimating the probability of inadequate systemic oxygen delivery, which is an essential risk attribute in the management of critically ill patients. PMID:26737282

  6. Helicopter In-Flight Monitoring System Second Generation (HIMS II).

    DTIC Science & Technology

    1983-08-01

    Research Laboratory AF 133 Fort Rucker, Alabama 36362 I. CONTROLLING OFFICE NAME AND ADDRESS 12. REPORT DATE US Army Vedical Research and Development Command...HDi-R132 498 HELICOPTER IN-FLIGHT MONITORING SYSTEM SECOND / GENERATION (HIM’ ’ 1)U) ARMY AEROMEDCAL RESEARCH LAB FORT RUCKER AL H D JONES ETA AL.RG...Higdon, Jr. RESEARCH SYSTEMS -DIVISION DTJCSELECT SEP 15 19 August 1983D Lii U.S. ARMY AEROMEDICAL RESEARCH LABORATORY -J FORT RUCKER, ALABAMA 36362 D

  7. Oxygen Mass Flow Rate Generated for Monitoring Hydrogen Peroxide Stability

    NASA Technical Reports Server (NTRS)

    Ross, H. Richard

    2002-01-01

    Recent interest in propellants with non-toxic reaction products has led to a resurgence of interest in hydrogen peroxide for various propellant applications. Because peroxide is sensitive to contaminants, material interactions, stability and storage issues, monitoring decomposition rates is important. Stennis Space Center (SSC) uses thermocouples to monitor bulk fluid temperature (heat evolution) to determine reaction rates. Unfortunately, large temperature rises are required to offset the heat lost into the surrounding fluid. Also, tank penetration to accomodate a thermocouple can entail modification of a tank or line and act as a source of contamination. The paper evaluates a method for monitoring oxygen evolution as a means to determine peroxide stability. Oxygen generation is not only directly related to peroxide decomposition, but occurs immediately. Measuring peroxide temperature to monitor peroxide stability has significant limitations. The bulk decomposition of 1% / week in a large volume tank can produce in excess of 30 cc / min. This oxygen flow rate corresponds to an equivalent temperature rise of approximately 14 millidegrees C, which is difficult to measure reliably. Thus, if heat transfer were included, there would be no temperature rise. Temperature changes from the surrounding environment and heat lost to the peroxide will also mask potential problems. The use of oxygen flow measurements provides an ultra sensitive technique for monitoring reaction events and will provide an earlier indication of an abnormal decomposition when compared to measuring temperature rise.

  8. Neutron monitor generated data distributions in quantum variational Monte Carlo

    NASA Astrophysics Data System (ADS)

    Kussainov, A. S.; Pya, N.

    2016-08-01

    We have assessed the potential applications of the neutron monitor hardware as random number generator for normal and uniform distributions. The data tables from the acquisition channels with no extreme changes in the signal level were chosen as the retrospective model. The stochastic component was extracted by fitting the raw data with splines and then subtracting the fit. Scaling the extracted data to zero mean and variance of one is sufficient to obtain a stable standard normal random variate. Distributions under consideration pass all available normality tests. Inverse transform sampling is suggested to use as a source of the uniform random numbers. Variational Monte Carlo method for quantum harmonic oscillator was used to test the quality of our random numbers. If the data delivery rate is of importance and the conventional one minute resolution neutron count is insufficient, we could always settle for an efficient seed generator to feed into the faster algorithmic random number generator or create a buffer.

  9. Information and telecommunication system for monitoring of hydraulic engineering structures

    NASA Astrophysics Data System (ADS)

    Pavlycheva, Nadezhda K.; Akhmetgaleeva, Railia R.; Muslimov, Eduard R.; Murav'eva, Elena V.; Peplov, Artem A.; Sibgatulina, Dina S.

    2016-03-01

    In this article, we present the information and telecommunications system that allows to carry out real-time monitoring of the quality and quantity of hydraulic engineering structures in order to reduce the risk of emergencies caused by environmental damage.

  10. PREDICT: Privacy and Security Enhancing Dynamic Information Monitoring

    DTIC Science & Technology

    2015-08-03

    aggregation, secure multiparty communication protocols were developed and evaluated [22]. These protocols permit the evaluation of certain functions...Li Xiong, Privacy Enhancing Dynamic Information Collection and Monitoring, Invited talk, Kyoto University, Kyoto , Japan, July 2015. [3] Li Xiong

  11. Generative Graph Prototypes from Information Theory.

    PubMed

    Han, Lin; Wilson, Richard C; Hancock, Edwin R

    2015-10-01

    In this paper we present a method for constructing a generative prototype for a set of graphs by adopting a minimum description length approach. The method is posed in terms of learning a generative supergraph model from which the new samples can be obtained by an appropriate sampling mechanism. We commence by constructing a probability distribution for the occurrence of nodes and edges over the supergraph. We encode the complexity of the supergraph using an approximate Von Neumann entropy. A variant of the EM algorithm is developed to minimize the description length criterion in which the structure of the supergraph and the node correspondences between the sample graphs and the supergraph are treated as missing data. To generate new graphs, we assume that the nodes and edges of graphs arise under independent Bernoulli distributions and sample new graphs according to their node and edge occurrence probabilities. Empirical evaluations on real-world databases demonstrate the practical utility of the proposed algorithm and show the effectiveness of the generative model for the tasks of graph classification, graph clustering and generating new sample graphs.

  12. Ecosystems monitoring: MODIS land products generated in CONABIO

    NASA Astrophysics Data System (ADS)

    Lopez, G.; Cruz, I.; Wickel, A. J.; Acosta, J.; Ressl, R.

    The main goal of CONABIO National commission for biodiversity of Mexico is to promote coordinate support and carry out activities aimed at improving our understanding of biological diversity as well as its conservation and sustainable use for the benefit of society The aim of the ecosystems Monitoring program consists of the analysis of the detected changes -both in quality and quantity- and the analysis of the distribution of vegetation through an enhanced methodology using remote sensing techniques computing and statistics One of the last products of this program is the fire risk propagation map based on NDVI anomalies this product indicate vegetation water stress conditions and therefore a high probability of propagation of a wildfire the availability of the MODIS data has been a crucial factor for the generation of these time-series The generation of VCF Vegetation Continuous Fields for direct broadcast stations receiving MODIS data will be a very useful tool to use in vegetation monitoring due the capabilities of this product to determinate 3 components tree shrub and bare soil for each single pixel The present paper describes the develop of the mentioned applications previously and the future of the programs for the monitoring of the biodiversity in Mexico

  13. A route generator concept for aircraft onboard fault monitoring

    NASA Technical Reports Server (NTRS)

    Palmer, M. T.; Abbott, K. H.

    1984-01-01

    Because of the increasingly complex environments in which the flight crews of commercial aviation aircraft must operate, a research effort is currently underway at NASA Langley Research Center to investigate the potential benefits of intelligent cockpit aids, and to establish guidelines for the application of artificial intelligence techniques to advanced flight management concepts. The segment of this research area that concentrates on automated fault monitoring and diagnosis requires that a reference frame exist, against which the current state of the aircraft may be compared to determine the existence of a fault. This paper describes a computer program which generates the position of that reference frame that specifies the horizontal flight route.

  14. Information Portals: The Next Generation Catalog

    ERIC Educational Resources Information Center

    Allison, DeeAnn

    2010-01-01

    Libraries today face an increasing challenge: to provide relevant information to diverse populations with differing needs while competing with Web search engines like Google. In 2009, a large group of libraries, including the University of Nebraska-Lincoln Libraries, joined with Innovative Interfaces as development partners to design a new type of…

  15. Neural networks as perpetual information generators

    NASA Astrophysics Data System (ADS)

    Englisch, Harald; Xiao, Yegao; Yao, Kailun

    1991-07-01

    The information gain in a neural network cannot be larger than the bit capacity of the synapses. It is shown that the equation derived by Engel et al. [Phys. Rev. A 42, 4998 (1990)] for the strongly diluted network with persistent stimuli contradicts this condition. Furthermore, for any time step the correct equation is derived by taking the correlation between random variables into account.

  16. Chinese adolescents' reports of covert parental monitoring: Comparisons with overt monitoring and links with information management.

    PubMed

    Hawk, Skyler T

    2017-02-01

    This study compared Chinese adolescents' reports of covert parental monitoring with the overt strategies of solicitation and control. We investigated these behaviors in terms of unique associations with adolescents' perceived privacy invasion and the information management behaviors of disclosure and secrecy. High school students (N = 455, 61.5% female; Mage = 17.39, SD = 0.83) from a predominantly rural province of Mainland China reported a high incidence of covert monitoring (60.40%). Covert monitoring predicted privacy invasion more strongly than solicitation or control. Solicitation positively predicted disclosure, while covert monitoring negatively predicted disclosure and positively predicted secrecy. Privacy invasion fully mediated links between covert monitoring and information management. These latter effects were significantly stronger for girls than for boys. Similar to Western adolescents, Chinese youth might apply selective resistance when parents violate their personal domain. The findings suggest linkage between some parental monitoring behaviors and disruptions in Chinese family communication.

  17. Monitoring microstructural evolution in irradiated steel with second harmonic generation

    SciTech Connect

    Matlack, Kathryn H.; Kim, Jin-Yeon; Jacobs, Laurence J.; Wall, James J.; Qu, Jianmin

    2015-03-31

    Material damage in structural components is driven by microstructural evolution that occurs at low length scales and begins early in component life. In metals, these microstructural features are known to cause measurable changes in the acoustic nonlinearity parameter. Physically, the interaction of a monochromatic ultrasonic wave with microstructural features such as dislocations, precipitates, and vacancies, generates a second harmonic wave that is proportional to the acoustic nonlinearity parameter. These nonlinear ultrasonic techniques thus have the capability to evaluate initial material damage, particularly before crack initiation and propagation occur. This paper discusses how the nonlinear ultrasonic technique of second harmonic generation can be used as a nondestructive evaluation tool to monitor microstructural changes in steel, focusing on characterizing neutron radiation embrittlement in nuclear reactor pressure vessel steels. Current experimental evidence and analytical models linking microstructural evolution with changes in the acoustic nonlinearity parameter are summarized.

  18. New generation enrichment monitoring technology for gas centrifuge enrichment plants

    SciTech Connect

    Ianakiev, Kiril D; Alexandrov, Boian S.; Boyer, Brian D.; Hill, Thomas R.; Macarthur, Duncan W.; Marks, Thomas; Moss, Calvin E.; Sheppard, Gregory A.; Swinhoe, Martyn T.

    2008-06-13

    The continuous enrichment monitor, developed and fielded in the 1990s by the International Atomic Energy Agency, provided a go-no-go capability to distinguish between UF{sub 6} containing low enriched (approximately 4% {sup 235}U) and highly enriched (above 20% {sup 235}U) uranium. This instrument used the 22-keV line from a {sup 109}Cd source as a transmission source to achieve a high sensitivity to the UF{sub 6} gas absorption. The 1.27-yr half-life required that the source be periodically replaced and the instrument recalibrated. The instrument's functionality and accuracy were limited by the fact that measured gas density and gas pressure were treated as confidential facility information. The modern safeguarding of a gas centrifuge enrichment plant producing low-enriched UF{sub 6} product aims toward a more quantitative flow and enrichment monitoring concept that sets new standards for accuracy stability, and confidence. An instrument must be accurate enough to detect the diversion of a significant quantity of material, have virtually zero false alarms, and protect the operator's proprietary process information. We discuss a new concept for advanced gas enrichment assay measurement technology. This design concept eliminates the need for the periodic replacement of a radioactive source as well as the need for maintenance by experts. Some initial experimental results will be presented.

  19. Toward the Next Generation of Air Quality Monitoring Indicators

    NASA Technical Reports Server (NTRS)

    Hsu, Angel; Reuben, Aaron; Shindell, Drew; deSherbinin, Alex; Levy, Marc

    2013-01-01

    This paper introduces an initiative to bridge the state of scientific knowledge on air pollution with the needs of policymakers and stakeholders to design the "next generation" of air quality indicators. As a first step this initiative assesses current monitoring and modeling associated with a number of important pollutants with an eye toward identifying knowledge gaps and scientific needs that are a barrier to reducing air pollution impacts on human and ecosystem health across the globe. Four outdoor air pollutants were considered e particulate matter, ozone, mercury, and Persistent Organic Pollutants (POPs) e because of their clear adverse impacts on human and ecosystem health and because of the availability of baseline data for assessment for each. While other papers appearing in this issue will address each pollutant separately, this paper serves as a summary of the initiative and presents recommendations for needed investments to provide improved measurement, monitoring, and modeling data for policyrelevant indicators. The ultimate goal of this effort is to enable enhanced public policy responses to air pollution by linking improved data and measurement methods to decision-making through the development of indicators that can allow policymakers to better understand the impacts of air pollution and, along with source attribution based on modeling and measurements, facilitate improved policies to solve it. The development of indicators represents a crucial next step in this process.

  20. Canadian ENGOs in governance of water resources: information needs and monitoring practices.

    PubMed

    Kebo, Sasha; Bunch, Martin J

    2013-11-01

    Water quality monitoring involves a complex set of steps and a variety of approaches. Its goals include understanding of aquatic habitats, informing management and facilitating decision making, and educating citizens. Environmental nongovernmental organizations (ENGOs) are increasingly engaged in water quality monitoring and act as environmental watchdogs and stewards of water resources. These organizations exhibit different monitoring mandates. As government involvement in water quality monitoring continues to decline, it becomes essential that we understand their modi operandi. By doing so, we can enhance efficacy and encourage data sharing and communication. This research examined Canadian ENGOs that collect their own data on water quality with respect to water quality monitoring activities and information needs. This work had a twofold purpose: (1) to enhance knowledge about the Canadian ENGOs operating in the realm of water quality monitoring and (2) to guide and inform development of web-based geographic information systems (GIS) to support water quality monitoring, particularly using benthic macroinvertebrate protocols. A structured telephone survey was administered across 10 Canadian provinces to 21 ENGOs that undertake water quality monitoring. This generated information about barriers and challenges of data sharing, commonly collected metrics, human resources, and perceptions of volunteer-collected data. Results are presented on an aggregate level and among different groups of respondents. Use of geomatics technology was not consistent among respondents, and we found no noteworthy differences between organizations that did and did not use GIS tools. About one third of respondents did not employ computerized systems (including databases and spreadsheets) to support data management, analysis, and sharing. Despite their advantage as a holistic water quality indicator, benthic macroinvertebrates (BMIs) were not widely employed in stream monitoring. Although

  1. Precise Time-Tag Generator For A Local-Area-Network Monitor

    NASA Technical Reports Server (NTRS)

    Stauffer, David R.; Tran, Khoa Duy

    1995-01-01

    Time-tag-generating circuit designed for use in LAN monitor, monitors frames of data transmitted among computers on local-area network (LAN). To each frame of data that LAN monitor receives from LAN, time-tag generator appends ancillary data on time of arrival of frame, precise to within 1 microsecond of centrally generated time signal. Inserts ancillary time data in place of already used frame-check data before frames of data stored in memory of LAN monitor.

  2. Direct optical monitoring of flow generated by bacterial flagellar rotation

    SciTech Connect

    Kirchner, Silke R.; Nedev, Spas; Carretero-Palacios, Sol; Lohmüller, Theobald E-mail: feldmann@lmu.de; Feldmann, Jochen E-mail: feldmann@lmu.de; Mader, Andreas; Opitz, Madeleine

    2014-03-03

    We report on a highly sensitive approach to measure and quantify the time dependent changes of the flow generated by the flagella bundle rotation of single bacterial cells. This is achieved by observing the interactions between a silica particle and a bacterium, which are both trapped next to each other in a dual beam optical tweezer. In this configuration, the particle serves as a sensitive detector where the fast-Fourier analysis of the particle trajectory renders, it possible to access information about changes of bacterial activity.

  3. Ice Sheet Monitoring Using Latest Generation SAR Satellites

    NASA Astrophysics Data System (ADS)

    Scheuchl, B.; Mouginot, J.; Rignot, E. J.; Li, X.

    2015-12-01

    Remote sensing is a crucial component to gain insight in the worlds ice sheets and glaciers. Spaceborne Synthetic Aperture Radar data have proven to be a key resource to monitor the great ice sheets in Antarctica and Greenland. International efforts undertaken during the last International Polar Year resulted in the collection of vast amounts of data to generate the first continent-wide ice velocity map of Antarctica, a series of full velocity maps of Greenland, and time series data in key regions. The Antarctic grounding line was also mapped at unprecedented accuracy using InSAR. The end of several SAR missions since 2010 has posed a significant challenge in the effort to provide ongoing data acquisitions. New generation missions show potential to not only fill the data gap, but to make the collection of ice sheet data part of the ongoing acquisition scenarios, therefore ensuring data continuity. New modes, like the TOPSAR mode used for Sentinel-1A, provide new opportunities but also pose processing challenges, particularly if the entire area monitored is in motion. Several future missions are in various stages of development, thus further adding to the suite of sensors potentially available to collect data in Polar Regions going forward. The NASA-ISRO L-and S-band mission, planned for launch in 2020, will be a pure science mission with an open data policy, thus again changing the data availability and data access situation for the better. In international collaboration through the Polar Space Task Group, space agencies coordinate their science acquisitions in Polar Regions. With broad input from the larger ice sheet science community, we have worked closely with space agencies to define science requirements and to develop acquisition scenarios that maximize science value for ice sheets. Here we highlight the collaboration effort, summarize the input of the ice sheet science community to the Polar Space Task Group, and present the acquisition plans that resulted

  4. Information systems for health sector monitoring in Papua New Guinea.

    PubMed Central

    Cibulskis, R. E.; Hiawalyer, G.

    2002-01-01

    This paper describes (i). how a national health information System was designed, tested and implemented in Papua New Guinea, (ii). how the system was integrated with other management information systems, and (iii). how information has been used to support decision-making. It concludes that central coordination of systems design is essential to make sure that information systems are aligned with government priorities and can deliver the information required by managers. While there is often scope for improving the performance of existing information systems, too much emphasis can be placed on revising data collection procedures and creating the perfect information system. Data analysis, even from imperfect systems, can stimulate greater interest in information, which can improve the quality and completeness of reporting and encourage a more methodical approach to planning and monitoring services. Our experience suggests that senior decision-makers and political leaders can play an important role in creating a culture of information use. By demanding health information, using it to formulate policy, and disseminating it through the channels open to them, they can exert greater influence in negotiations with donors and other government departments, encourage a more rational approach to decision-making that will improve the operation of health services, and stimulate greater use of information at lower levels of the health system. The ability of information systems to deliver these benefits is critical to their sustainability. PMID:12378295

  5. A cloud-based information repository for bridge monitoring applications

    NASA Astrophysics Data System (ADS)

    Jeong, Seongwoon; Zhang, Yilan; Hou, Rui; Lynch, Jerome P.; Sohn, Hoon; Law, Kincho H.

    2016-04-01

    This paper describes an information repository to support bridge monitoring applications on a cloud computing platform. Bridge monitoring, with instrumentation of sensors in particular, collects significant amount of data. In addition to sensor data, a wide variety of information such as bridge geometry, analysis model and sensor description need to be stored. Data management plays an important role to facilitate data utilization and data sharing. While bridge information modeling (BrIM) technologies and standards have been proposed and they provide a means to enable integration and facilitate interoperability, current BrIM standards support mostly the information about bridge geometry. In this study, we extend the BrIM schema to include analysis models and sensor information. Specifically, using the OpenBrIM standards as the base, we draw on CSI Bridge, a commercial software widely used for bridge analysis and design, and SensorML, a standard schema for sensor definition, to define the data entities necessary for bridge monitoring applications. NoSQL database systems are employed for data repository. Cloud service infrastructure is deployed to enhance scalability, flexibility and accessibility of the data management system. The data model and systems are tested using the bridge model and the sensor data collected at the Telegraph Road Bridge, Monroe, Michigan.

  6. DC information preservation for cardiopulmonary monitor utilizing CW Doppler radar.

    PubMed

    Vergara, Alexander M; Boric-Lubecke, Olga; Lubecke, Victor M

    2008-01-01

    Direct conversion RF receivers introduce large DC offsets, reducing the dynamic range of the baseband signal. Coupled with the relatively small time varying signals in human vital sign monitoring using CW Doppler radar, extraction of cardio-pulmonary information becomes difficult. Previous DC offset compensation techniques utilizing AC coupling have proven detrimental to the performance of the system and the integrity of the low-frequency cardiopulmonary signals. A proposed system utilizing digitally controlled voltage feedback and center finding preserves the important DC information for optimal extraction of phase information in the quadrature system.

  7. Temporal Informative Analysis in Smart-ICU Monitoring: M-HealthCare Perspective.

    PubMed

    Bhatia, Munish; Sood, Sandeep K

    2016-08-01

    The rapid introduction of Internet of Things (IoT) Technology has boosted the service deliverance aspects of health sector in terms of m-health, and remote patient monitoring. IoT Technology is not only capable of sensing the acute details of sensitive events from wider perspectives, but it also provides a means to deliver services in time sensitive and efficient manner. Henceforth, IoT Technology has been efficiently adopted in different fields of the healthcare domain. In this paper, a framework for IoT based patient monitoring in Intensive Care Unit (ICU) is presented to enhance the deliverance of curative services. Though ICUs remained a center of attraction for high quality care among researchers, still number of studies have depicted the vulnerability to a patient's life during ICU stay. The work presented in this study addresses such concerns in terms of efficient monitoring of various events (and anomalies) with temporal associations, followed by time sensitive alert generation procedure. In order to validate the system, it was deployed in 3 ICU room facilities for 30 days in which nearly 81 patients were monitored during their ICU stay. The results obtained after implementation depicts that IoT equipped ICUs are more efficient in monitoring sensitive events as compared to manual monitoring and traditional Tele-ICU monitoring. Moreover, the adopted methodology for alert generation with information presentation further enhances the utility of the system.

  8. Post-release monitoring: the Brazilian system, its aims and requirements for information.

    PubMed

    Andrade, P P; Melo, M A; Kido, E A

    2014-12-01

    The Brazilian National Biosafety Committee approved in 2011 a new post release monitoring system for environmental releases of genetically modified organisms. It has a number of novel features in comparison with other established or proposed systems. The new system also allows the proponent to ask for monitoring exemption. General surveillance forms the basis of the monitoring system, similar to the European model, but differs markedly in the way it operates. While the European proposal is based on monitoring measurable variables extracted from environmental observations, from baselines previously established for multiple protection targets, the Brazilian system uses direct alerts of damage, without the aid of baseline values. The strength of the Brazilian form of monitoring is the possibility of generating an information network with the effective participation of many actors from the monitored area. A network constituted by highly qualified members, as proposed elsewhere, is too complex and unrealistic in Brazil and in many other countries. In conclusion, the Brazilian monitoring system is flexible and can be adjusted to the Brazilian reality over the next years, as a response to the ever growing experience in monitoring. It also meets the demands of the Brazilian society for transparency, rational use of resources, opportunity for national companies, and food and environmental biosafety.

  9. Monitoring information model for traffic engineering over MPLS VPNs

    NASA Astrophysics Data System (ADS)

    Cherkaoui, Omar; Sarrazin, Alain; Francoeur, Guy; Chen, Ken

    2001-07-01

    Monitoring is the part of Traffic Engineering (TE) that aims at optimizing the use of network resources and assists both in informing the provider and proving to the customer that the service offered respects the SLAs required to optimize the network resources utilization. In this paper, we present a monitoring framework for MPLS-VPN services. We first briefly review MPLS, VPN, NBVPN, Constrained Based Routing to provide a background for the discussion of traffic Engineering. We then discuss the general issues surrounding the design of a MPLS VPN from the point of view of TE and go on to present a management framework that extends the DEN information specific to MPLS VPNs. In this framework, we add policy actions that react dynamically to abnormal results by changing the sampling frequency.

  10. Liquid Effluent Monitoring Information System (LEMIS) System Construction

    SciTech Connect

    Adams, R.T.

    1994-10-11

    The liquid effluent sampling program is part of the effort to minimize adverse environmental impact during the cleanup operation at the Hanford Site. Of the 33 Phase I and Phase II liquid effluents, all streams actively discharged to the soil column will be sampled. The Liquid Effluent Monitoring Information System (LEMIS) is being developed as the organized information repository facility in support of the liquid effluent monitoring requirements of the Tri-Party Agreement. It is necessary to provide an automated repository into which the results from liquid effluent sampling will be placed. This repository must provide for effective retention, review, and retrieval of selected sample data by authorized persons and organizations. This System Construction document is the aggregation of the DMR P+ methodology project management deliverables. Together they represent a description of the project and its plan through four Releases, corresponding to the definition and prioritization of requirements defined by the user.

  11. A Comparison of Generative and Discriminative Appliance Recognition Models for Load Monitoring

    NASA Astrophysics Data System (ADS)

    Zoha, Ahmed; Imran, Muhammad Ali; Gluhak, Alexander; Nati, Michele

    2013-12-01

    Appliance-level Load Monitoring (ALM) is essential, not only to optimize energy utilization, but also to promote energy awareness amongst consumers through real-time feedback mechanisms. Non-intrusive load monitoring is an attractive method to perform ALM that allows tracking of appliance states within the aggregated power measurements. It makes use of generative and discriminative machine learning models to perform load identification. However, particularly for low-power appliances, these algorithms achieve sub-optimal performance in a real world environment due to ambiguous overlapping of appliance power features. In our work, we report a performance comparison of generative and discriminative Appliance Recognition (AR) models for binary and multi-state appliance operations. Furthermore, it has been shown through experimental evaluations that a significant performance improvement in AR can be achieved if we make use of acoustic information generated as a by-product of appliance activity. We demonstrate that our a discriminative model FF-AR trained using a hybrid feature set which is a catenation of audio and power features improves the multi-state AR accuracy up to 10 %, in comparison to a generative FHMM-AR model.

  12. Image encryption using random sequence generated from generalized information domain

    NASA Astrophysics Data System (ADS)

    Xia-Yan, Zhang; Guo-Ji, Zhang; Xuan, Li; Ya-Zhou, Ren; Jie-Hua, Wu

    2016-05-01

    A novel image encryption method based on the random sequence generated from the generalized information domain and permutation-diffusion architecture is proposed. The random sequence is generated by reconstruction from the generalized information file and discrete trajectory extraction from the data stream. The trajectory address sequence is used to generate a P-box to shuffle the plain image while random sequences are treated as keystreams. A new factor called drift factor is employed to accelerate and enhance the performance of the random sequence generator. An initial value is introduced to make the encryption method an approximately one-time pad. Experimental results show that the random sequences pass the NIST statistical test with a high ratio and extensive analysis demonstrates that the new encryption scheme has superior security.

  13. Information Superiority generated through proper application of Geoinformatics

    NASA Astrophysics Data System (ADS)

    Teichmann, F.

    2012-04-01

    Information Superiority generated through proper application of Geoinformatics Information management and especially geoscience information delivery is a very delicate task. If it is carried out successfully, geoscientific data will provide the main foundation of Information Superiority. However, improper implementation of geodata generation, assimilation, distribution or storage will not only waste valuable resources like manpower or money, but could also give rise to crucial deficiency in knowledge and might lead to potentially extremely harmful disasters or wrong decisions. Comprehensive Approach, Effect Based Operations and Network Enabled Capabilities are the current buzz terms in the security regime. However, they also apply to various interdisciplinary tasks like catastrophe relief missions, civil task operations or even in day to day business operations where geo-science data is used. Based on experience in the application of geoscience data for defence applications the following procedure or tool box for generating geodata should lead to the desired information superiority: 1. Understand and analyse the mission, the task and the environment for which the geodata is needed 2. Carry out a Information Exchange Requirement between the user or customer and the geodata provider 3. Implementation of current interoperability standards and a coherent metadata structure 4. Execute innovative data generation, data provision, data assimilation and data storage 5. Apply a cost-effective and reasonable data life cycle 6. Implement IT security by focusing of the three pillar concepts Integrity, Availability and Confidentiality of the critical data 7. Draft and execute a service level agreement or a memorandum of understanding between the involved parties 8. Execute a Continuous Improvement Cycle These ideas from the IT world should be transferred into the geoscience community and applied in a wide set of scenarios. A standardized approach of how to generate, provide

  14. EAGLE Monitors by Collecting Facts and Generating Obligations

    NASA Technical Reports Server (NTRS)

    Barrnger, Howard; Goldberg, Allen; Havelund, Klaus; Sen, Koushik

    2003-01-01

    We present a rule-based framework, called EAGLE, that has been shown to be capable of defining and implementing a range of finite trace monitoring logics, including future and past time temporal logic, extended regular expressions, real-time and metric temporal logics, interval logics, forms of quantified temporal logics, and so on. A monitor for an EAGLE formula checks if a finite trace of states satisfies the given formula. We present, in details, an algorithm for the synthesis of monitors for EAGLE. The algorithm is implemented as a Java application and involves novel techniques for rule definition, manipulation and execution. Monitoring is achieved on a state-by-state basis avoiding any need to store the input trace of states. Our initial experiments have been successful as EAGLE detected a previously unknown bug while testing a planetary rover controller.

  15. 78 FR 24153 - Notice of Emergency Approval of an Information Collection; National Animal Health Monitoring...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-04-24

    ...; National Animal Health Monitoring System; Equine Herpesvirus Myeloencephalopathy Study AGENCY: Animal and... information collection for a National Animal Health Monitoring System Equine Herpesvirus Myeloencephalopathy...: National Animal Health Monitoring System; Equine Herpesvirus Myeloencephalopathy Study. OMB Number:...

  16. Very High Frequency Monitoring System for Engine Gearbox and Generator Health Management (Postprint)

    DTIC Science & Technology

    2007-09-18

    Application of Health and Usage Monitoring System (HUMS) Technologies to Wind Turbine Drive Trains,” WindPower 2005, Denver, CO, May 15-18, 2005...AFRL-RZ-WP-TP-2008-2043 VERY HIGH FREQUENCY MONITORING SYSTEM FOR ENGINE GEARBOX AND GENERATOR HEALTH MANAGEMENT (POSTPRINT) Matthew J...2649 5b. GRANT NUMBER 4. TITLE AND SUBTITLE VERY HIGH FREQUENCY MONITORING SYSTEM FOR ENGINE GEARBOX AND GENERATOR HEALTH MANAGEMENT (POSTPRINT

  17. Development of an information data base for watershed monitoring

    NASA Technical Reports Server (NTRS)

    Smith, A. Y.; Blackwell, R. J.

    1980-01-01

    Landsat multispectral scanner data, Defense Mapping Agency digital terrain data, conventional maps, and ground data were integrated to create a comprehensive information data base (the Image Based Information System), to monitor the water quality of the Lake Tahoe Basin. Landsat imagery was used as the planimetric base to which all other data were registered. A georeference image plane, which provided an interface between all data planes for the Lake Tahoe Basin data base, was created from the drainage basin map. The data base was used to extract each drainage basin for separate display. The Defense Mapping Agency-created elevation image was processed with VICAR software to produce a component representing slope magnitude, which was cross-tabulated with the drainage basin georeference table. Future applications of the data base include the development of precipitation modeling, surface runoff models, and classification of drainage basin cover types.

  18. Fiber optical magnetic field sensor for power generator monitoring

    NASA Astrophysics Data System (ADS)

    Willsch, Michael; Bosselmann, Thomas; Villnow, Michael

    2014-05-01

    Inside of large electrical engines such as power generators and large drives, extreme electric and magnetic fields can occur which cannot be measured electrically. Novel fiber optical magnetic field sensors are being used to characterize the fields and recognize inner faults of large power generators.

  19. Toward the next generation of air quality monitoring: Particulate Matter

    NASA Astrophysics Data System (ADS)

    Engel-Cox, Jill; Kim Oanh, Nguyen Thi; van Donkelaar, Aaron; Martin, Randall V.; Zell, Erica

    2013-12-01

    Fine particulate matter is one of the key global pollutants affecting human health. Satellite and ground-based monitoring technologies as well as chemical transport models have advanced significantly in the past 50 years, enabling improved understanding of the sources of fine particles, their chemical composition, and their effect on human and environmental health. The ability of air pollution to travel across country and geographic boundaries makes particulate matter a global problem. However, the variability in monitoring technologies and programs and poor data availability make global comparison difficult. This paper summarizes fine particle monitoring, models that integrate ground-based and satellite-based data, and communications, then recommends steps for policymakers and scientists to take to expand and improve local and global indicators of particulate matter air pollution. One of the key set of recommendations to improving global indicators is to improve data collection by basing particulate matter monitoring design and stakeholder communications on the individual country, its priorities, and its level of development, while at the same time creating global data standards for inter-country comparisons. When there are good national networks that produce consistent quality data that is shared openly, they serve as the foundation for better global understanding through data analysis, modeling, health impact studies, and communication. Additionally, new technologies and systems should be developed to expand personal air quality monitoring and participation of non-specialists in crowd-sourced data collections. Finally, support to the development and improvement of global multi-pollutant indicators of the health and economic effects of air pollution is essential to addressing improvement of air quality around the world.

  20. Information discovery applied to a power generation database

    SciTech Connect

    Rodriguez, G.; Hernandez, V.

    1996-11-01

    An information discovery system is presented that extracts knowledge from databases in a form that is much more compact and easy to understand than the original set of records. The system was tested with a subset of a real power generation database of the Federal Commission of Electricity in Mexico (CFE = Comision Federal de Electricidad). The paper discusses a machine learning algorithm for induction of rules and the heuristics used to obtain the simplest rules that define the knowledge hidden in a database.

  1. Automatic generation of computable implementation guides from clinical information models.

    PubMed

    Boscá, Diego; Maldonado, José Alberto; Moner, David; Robles, Montserrat

    2015-06-01

    Clinical information models are increasingly used to describe the contents of Electronic Health Records. Implementation guides are a common specification mechanism used to define such models. They contain, among other reference materials, all the constraints and rules that clinical information must obey. However, these implementation guides typically are oriented to human-readability, and thus cannot be processed by computers. As a consequence, they must be reinterpreted and transformed manually into an executable language such as Schematron or Object Constraint Language (OCL). This task can be difficult and error prone due to the big gap between both representations. The challenge is to develop a methodology for the specification of implementation guides in such a way that humans can read and understand easily and at the same time can be processed by computers. In this paper, we propose and describe a novel methodology that uses archetypes as basis for generation of implementation guides. We use archetypes to generate formal rules expressed in Natural Rule Language (NRL) and other reference materials usually included in implementation guides such as sample XML instances. We also generate Schematron rules from NRL rules to be used for the validation of data instances. We have implemented these methods in LinkEHR, an archetype editing platform, and exemplify our approach by generating NRL rules and implementation guides from EN ISO 13606, openEHR, and HL7 CDA archetypes.

  2. Summary report on beam and radiation generation, monitoring and control (working group 6).

    SciTech Connect

    Power, J. G.; Gordon, D. F.; High Energy Physics; Naval Research Lab.

    2009-01-01

    The discussions of the working group on beam and radiation generation, monitoring, and control (working group 6) at the 2008 advanced accelerator concepts workshop are summarized. The discussions concerned electron injectors, phase space manipulation, beam diagnostics, pulse train generation, intense beam physics, and radiation generation.

  3. Next generation x-ray all-sky monitor

    SciTech Connect

    Priedhorsky, W. C.; Peele, A. G.; Nugent, K. A.

    1997-01-10

    We set forth a conceptual design for x-ray all-sky monitor based on lobster-eye wide-field telescopes. This instrument, suitable for a small satellite, would monitor the flux of objects as faint as 2x10{sup -15} W/m{sup 2} (0.5-2.4 keV) on a daily basis with a signal-to-noise of 5. Sources would be located to 1-2 arc-minutes. Detailed simulations show that crosstalk from the cruciform lobster images would not significantly compromise performance. At this sensitivity limit, we could monitor not just x-ray binaries but fainter classes of x-ray sources. Hundreds of active galactic nuclei, coronal sources, and cataclysmic variables could be tracked on a daily basis. Large numbers of fast transients should be visible, including gamma-ray bursts and the soft x-ray breakout of nearby type II supernovae. Long-term x-ray measurements will advance our understanding of the geometries and perhaps masses of AGN, and coronal energy sources in stars.

  4. Thrombin generation testing for monitoring hemophilia treatment: a clinical perspective.

    PubMed

    Salvagno, Gian Luca; Berntorp, Erik

    2010-10-01

    Thrombin generation is a key process that determines the extent of a hemostatic plug or a thrombotic process. The ensuing thrombin burst is crucial for the formation of a stable fibrin clot. During its active life, thrombin exerts a multitude of highly regulated actions on the blood and the vessel wall, among which is the clotting of fibrinogen. The inappropriate generation of thrombin may lead to pathological processes, foremost of which are hemorrhagic or thrombotic diseases. The coagulation system is usually investigated by means of two in vitro classical clotting tests, the activated partial thromboplastin time and prothrombin time. These assays assess only the time taken to form a clot and do not entirely reflect global hemostatic balance. They permit identification of connectivity between the component activities identified as required for plasma coagulation and define the concept of intrinsic and extrinsic coagulation pathways, which converge at the step of formation of the prothrombinase complex. However, the mechanisms established by in vitro tests are not always mirrored in the human pathologies associated with bleeding or thrombosis. The recent development of newer tests based on the continuous registration of thrombin generation (TG) under in vitro conditions that mimic more closely what occurs in vivo prompted us to reinvestigate the balance between procoagulants and anticoagulants in patients. Thrombin generation assays (TGA) not only provide an overall assessment of hemostasis, but they also target potential extrahemostatic effects of the generated thrombin, a potent agonist of a multitude of cellular activation pathways. Moreover, estimation of an individual's thrombin generation potential may correlate more closely with a hyper- or hypocoagulable phenotype, compared with traditional coagulation tests. In this review, we discuss to what extent TG can be expected to reflect the clotting function of blood, the development and use of different TGA

  5. Solving transportation problems; Automated monitoring system provides valuable information

    SciTech Connect

    Dillavou, J. )

    1989-07-01

    Montana-Dakota Utilities Co. is a public utility with electric and natural gas distribution systems. Its natural gas distribution operation serves more than 175,000 customers in a 168,000-sq-mile service area. Serving such a large geographical area with the required daily nomination and usage reporting conditions of the transportation contracts posed many potential problems from an operation point of view. MDU solved these problems by implementing a fully automated system. The Metretek data collection system is described in this paper. It provides MDU with the volume information required to balance and bill the transportation accounts as well as monitor end-use transportation customer requirements on a timely basis.

  6. EPA Biofuels Research: Biofuel Vapor Generation and Monitoring Methods

    EPA Science Inventory

    The interest in renewable fuels and alternative energy sources has stimulated development of alternatives to traditional petroleum-based fuels. The EPA's Office of Transportation Air Quality (OTAQ) requires information regarding the potential health hazards ofthese fuels regardin...

  7. Snow Web 2.0: The Next Generation of Antarctic Meteorological Monitoring Systems?

    NASA Astrophysics Data System (ADS)

    Coggins, J.; McDonald, A.; Plank, G.; Pannell, M.; Ward, R.; Parsons, S.

    2012-04-01

    Adequate in-situ observation of the Antarctic lower atmosphere has proved problematic, due to a combination of the inhospitable nature and extent of the continent. Traditional weather stations are expensive, subject to extreme weather for long periods and are often isolated, and as such are prone to failure and logistically difficult to repair. We have developed the first generation of an extended system of atmospheric sensors, each costing a fraction of the price of a traditional weather station. The system is capable of performing all of the monitoring tasks of a traditional station, but has built-in redundancy over the traditional approach because many units can be deployed in a relatively small area for similar expenditure as one large weather station. Furthermore, each unit is equipped with wireless networking capabilities and so is able to share information with those units in its direct vicinity. This allows for the ferrying of collected information to a manned observation station and hence the ability to monitor data in real-time. The distributed nature of the data collected can then be used as a stand-alone product to investigate small-scale weather and climate phenomena or integrated into larger studies and be used to monitor wide regions. GPS hardware installed on each unit also allows for high-resolution glacier or ice-shelf tracking. As a testing and data gathering study, eighteen such weather stations were deployed in the vicinity of Scott Base, Ross Island, Antarctica over the 2011/12 summer season. This presentation reports on findings from this field study, and discusses possibilities for the future.

  8. Deciphering next-generation pharmacogenomics: an information technology perspective

    PubMed Central

    Potamias, George; Lakiotaki, Kleanthi; Katsila, Theodora; Lee, Ming Ta Michael; Topouzis, Stavros; Cooper, David N.; Patrinos, George P.

    2014-01-01

    In the post-genomic era, the rapid evolution of high-throughput genotyping technologies and the increased pace of production of genetic research data are continually prompting the development of appropriate informatics tools, systems and databases as we attempt to cope with the flood of incoming genetic information. Alongside new technologies that serve to enhance data connectivity, emerging information systems should contribute to the creation of a powerful knowledge environment for genotype-to-phenotype information in the context of translational medicine. In the area of pharmacogenomics and personalized medicine, it has become evident that database applications providing important information on the occurrence and consequences of gene variants involved in pharmacokinetics, pharmacodynamics, drug efficacy and drug toxicity will become an integral tool for researchers and medical practitioners alike. At the same time, two fundamental issues are inextricably linked to current developments, namely data sharing and data protection. Here, we discuss high-throughput and next-generation sequencing technology and its impact on pharmacogenomics research. In addition, we present advances and challenges in the field of pharmacogenomics information systems which have in turn triggered the development of an integrated electronic ‘pharmacogenomics assistant’. The system is designed to provide personalized drug recommendations based on linked genotype-to-phenotype pharmacogenomics data, as well as to support biomedical researchers in the identification of pharmacogenomics-related gene variants. The provisioned services are tuned in the framework of a single-access pharmacogenomics portal. PMID:25030607

  9. Toward the next generation of air quality monitoring indicators

    NASA Astrophysics Data System (ADS)

    Hsu, Angel; Reuben, Aaron; Shindell, Drew; de Sherbinin, Alex; Levy, Marc

    2013-12-01

    This paper introduces an initiative to bridge the state of scientific knowledge on air pollution with the needs of policymakers and stakeholders to design the “next generation” of air quality indicators. As a first step this initiative assesses current monitoring and modeling associated with a number of important pollutants with an eye toward identifying knowledge gaps and scientific needs that are a barrier to reducing air pollution impacts on human and ecosystem health across the globe. Four outdoor air pollutants were considered - particulate matter, ozone, mercury, and Persistent Organic Pollutants (POPs) - because of their clear adverse impacts on human and ecosystem health and because of the availability of baseline data for assessment for each. While other papers appearing in this issue will address each pollutant separately, this paper serves as a summary of the initiative and presents recommendations for needed investments to provide improved measurement, monitoring, and modeling data for policy-relevant indicators. The ultimate goal of this effort is to enable enhanced public policy responses to air pollution by linking improved data and measurement methods to decision-making through the development of indicators that can allow policymakers to better understand the impacts of air pollution and, along with source attribution based on modeling and measurements, facilitate improved policies to solve it. The development of indicators represents a crucial next step in this process.

  10. Information and display requirements for independent landing monitors

    NASA Technical Reports Server (NTRS)

    Karmarker, J. S.; Sorensen, J. A.

    1976-01-01

    The ways an Independent Landing Monitor (ILM) may be used to complement the automatic landing function were studied. In particular, a systematic procedure was devised to establish the information and display requirements of an ILM during the landing phase of the flight. Functionally, the ILM system is designed to aid the crew in assessing whether the total system (e.g., avionics, aircraft, ground navigation aids, external disturbances) performance is acceptable, and, in case of anomaly, to provide adequate information to the crew to select the least unsafe of the available alternatives. Economically, this concept raises the possibility of reducing the primary autoland system redundancy and associated equipment and maintenance costs. The required level of safety for the overall system would in these cases be maintained by upgrading the backup manual system capability via the ILM. A safety budget analysis was used to establish the reliability requirements for the ILM. These requirements were used as constraints in devising the fault detection scheme. Covariance propagation methods were used with a linearized system model to establish the time required to correct manually perturbed states due to the fault. Time-to-detect and time-to-correct requirements were combined to devise appropriate altitudes and strategies for fault recovery.

  11. An algebra for spatio-temporal information generation

    NASA Astrophysics Data System (ADS)

    Pebesma, Edzer; Scheider, Simon; Gräler, Benedikt; Stasch, Christoph; Hinz, Matthias

    2016-04-01

    When we accept the premises of James Frew's laws of metadata (Frew's first law: scientists don't write metadata; Frew's second law: any scientist can be forced to write bad metadata), but also assume that scientists try to maximise the impact of their research findings, can we develop our information infrastructures such that useful metadata is generated automatically? Currently, sharing of data and software to completely reproduce research findings is becoming standard, e.g. in the Journal of Statistical Software [1]. The reproduction (e.g. R) scripts however convey correct syntax, but still limited semantics. We propose [2] a new, platform-neutral way to algebraically describe how data is generated, e.g. by observation, and how data is derived, e.g. by processing observations. It starts with forming functions composed of four reference system types (space, time, quality, entity), which express for instance continuity of objects over time, and continuity of fields over space and time. Data, which is discrete by definition, is generated by evaluating such functions at discrete space and time instances, or by evaluating a convolution (aggregation) over them. Derived data is obtained by inputting data to data derivation functions, which for instance interpolate, estimate, aggregate, or convert fields into objects and vice versa. As opposed to the traditional when, where and what semantics of data sets, our algebra focuses on describing how a data set was generated. We argue that it can be used to discover data sets that were derived from a particular source x, or derived by a particular procedure y. It may also form the basis for inferring meaningfulness of derivation procedures [3]. Current research focuses on automatically generating provenance documentation from R scripts. [1] http://www.jstatsoft.org/ (open access) [2] http://www.meaningfulspatialstatistics.org has the full paper (in review) [3] Stasch, C., S. Scheider, E. Pebesma, W. Kuhn, 2014. Meaningful

  12. SilvaCarbon: Volunteered Geographical Information and Effective Monitoring

    NASA Astrophysics Data System (ADS)

    Sun, M.

    2011-12-01

    Significant amounts of efforts have been taken into monitoring forest and terrestrial carbon by many countries in recent years. As the rapid increase of methodologies and resources, international collaboration is critical now for enhancing capacity of managing and sharing the ongoing research efficiently worldwide. Moreover, much broader citizen participants with or without expert training have been involved in. Fortunately, the emergence of Web2.0, social networking, and geopositioning technology make such wide-range collaboration and participation on geospatial science research possible. The concept of Volunteer Geographical Information (VGI) coined by Michael F. Goodchild enables the ability to contribute georeferenced and disseminated scientific resource and to exchange information over the web. With this in mind, SilvaCarbon, applying the above technologies, is a project conducted by U.S. federal agencies as a U.S. contribution to the Forest Carbon Tracking task of the intergovernmental Group on Earth Observation. Clearly, all research activities must rely on geographic data. And because of the observational objectives of Forest Carbon Tracking task, data sharing is a main objective of the project needed to be addressed. Data can be captured directly, contributed by secondary sources, or obtained from historical archive for the past period. Each VGI participant becomes a sensor with the ability to collect and share data. A given phenomenon can be always described more sufficient by data from multiple sources than captured individually. And data sharing can also satisfy the desire to avoid data duplication. Another purpose of Silvacarbon is to describe the activity states of involved countries, communities and individual participants and to help communicating. With the assistant of the other social networking like Facebook and Twitter, VGI participants are given an access to broadcast states of their research or activities. They also can plan travels and trades

  13. Next generation barcode tagged sequencing for monitoring microbial community dynamics.

    PubMed

    Breakwell, Katy; Tetu, Sasha G; Elbourne, Liam D H

    2014-01-01

    Microbial identification using 16S rDNA variable regions has become increasingly popular over the past decade. The application of next-generation amplicon sequencing to these regions allows microbial communities to be sequenced in far greater depth than previous techniques, as well as allowing for the identification of unculturable or rare organisms within a sample. Multiplexing can be used to sequence multiple samples in tandem through the use of sample-specific identification sequences which are attached to each amplicon, making this a cost-effective method for large-scale microbial identification experiments.

  14. Standard signal processing using enriched sensor information for WWTP monitoring and control.

    PubMed

    Irizar, I; Alferes, J; Larrea, L; Ayesa, E

    2008-01-01

    Important indicators for monitoring and control of wastewater treatment plants (WWTP) often have to be obtained from the processing of on-line signal trajectories. Therefore, the quality of sensor instantaneous measurements can be improved significantly if they are complemented with valuable information about the geometric features of their trajectories. The present paper describes the design and implementation of a Standard Signal Processing Architecture (SSPA) from which enriched sensor information is generated automatically. The SSPA has been made up of three complementary modules: the pre-processing module, the storage module and the post-processing module. Moreover, the SSPA has been parameterised so as to allow its adaptation to the specifications of every signal. By performing basic calculations on pre-processed signal trajectories, the storage module produces enriched vectors which collect information of the first and second time derivatives, average and variance values, peak values, linear regression parameters, curvature, etc. Then, the enriched information vectors can be exploited to implement customised monitoring and control tools. In this respect, the effectiveness of the SSPA has been demonstrated in three different practical cases: (1) OUR and KLa identification algorithms; (2) processing of measurements for real-time controllers; and, (3) detection of bend-points in on-line signals of SBR processes.

  15. Toward the next generation of air quality monitoring: Mercury

    NASA Astrophysics Data System (ADS)

    Pirrone, Nicola; Aas, Wenche; Cinnirella, Sergio; Ebinghaus, Ralf; Hedgecock, Ian M.; Pacyna, Jozef; Sprovieri, Francesca; Sunderland, Elsie M.

    2013-12-01

    understanding the link between the magnitude of mercury emissions and the concentrations found in the fish that we consume. For air quality monitoring, priorities include expanding the existing data collection network and widening the scope of atmospheric mercury measurements (elemental, oxidised, and particulate species as well as mercury in precipitation). Presently, the only accurate indicators of mercury impacts on human and biological health are methylmercury concentrations in biota. However, recent advances in analytical techniques (stable mercury isotopes) and integrated modelling tools are allowing greater understanding of the relationship between atmospheric deposition, concentrations in water, methylation and uptake by biota. This article recommends an expansion of the current atmospheric monitoring network and the establishment of new coordinated measurements of total mercury and methylmercury concentrations in seawater and concurrent concentrations and trends in marine fish.

  16. Reservoir engineering of a mechanical resonator: generating a macroscopic superposition state and monitoring its decoherence

    NASA Astrophysics Data System (ADS)

    Asjad, Muhammad; Vitali, David

    2014-02-01

    A deterministic scheme for generating a macroscopic superposition state of a nanomechanical resonator is proposed. The nonclassical state is generated through a suitably engineered dissipative dynamics exploiting the optomechanical quadratic interaction with a bichromatically driven optical cavity mode. The resulting driven dissipative dynamics can be employed for monitoring and testing the decoherence processes affecting the nanomechanical resonator under controlled conditions.

  17. A knowledge-based information system for monitoring drug levels.

    PubMed

    Wiener, F; Groth, T; Mortimer, O; Hallquist, I; Rane, A

    1989-06-01

    The expert system shell SMR has been enhanced to include information system routines for designing data screens and providing facilities for data entry, storage, retrieval, queries and descriptive statistics. The data for inference making is abstracted from the data base record and inserted into a data array to which the knowledge base is applied to derive the appropriate advice and comments. The enhanced system has been used to develop an intelligent information system for monitoring serum drug levels which includes evaluation of temporal changes and production of specialized printed reports. The module for digoxin has been fully developed and validated. To demonstrate the extension to other drugs a module for phenytoin was constructed with only a rudimentary knowledge base. Data from the request forms together with the S-digoxin results are entered into the data base by the department secretary. The day's results are then reviewed by the clinical pharmacologist. For each case, previous results may be displayed and are taken into account by the system in the decision process. The knowledge base is applied to the data to formulate an evaluative comment on the report returned to the requestor. The report includes a semi-graphic presentation of the current and previous results and either the system's interpretation or one entered by the pharmacologist if he does not agree with it. The pharmacologist's comment is also recorded in the data base for future retrieval, analysis and possible updating of the knowledge base. The system is now undergoing testing and evaluation under routine operations in the clinical pharmacology service. It is a prototype for other applications in both laboratory and clinical medicine currently under development at Uppsala University Hospital. This system may thus provide a vehicle for a more intensive penetration of knowledge-based systems in practical medical applications.

  18. Next Generation UAS Based Spectral Systems for Environmental Monitoring

    NASA Technical Reports Server (NTRS)

    Campbell, P.; Townsend, P.; Mandl, D.; Kingdon, C.; Ly, V.; Sohlberg, R.; Corp, L.; Cappelaere, P.; Frye, S.; Handy, M.; Nagol, J.; Ambrosia, V.; Navarro, F.

    2015-01-01

    This presentation provides information on the development of a small Unmanned Aerial System(UAS) with a low power, high performance Intelligent Payload Module (IPM) and a hyperspectral imager to enable intelligent gathering of science grade vegetation data over agricultural fields at about 150 ft. The IPM performs real time data processing over the image data and then enables the navigation system to move the UAS to locations where measurements are optimal for science. This is important because the small UAS typically has about 30 minutes of battery power and therefore over large agricultural fields, resource utilization efficiency is important. The key innovation is the shrinking of the IPM and the cross communication with the navigation software to allow the data processing to interact with desired way points while using Field Programmable Gate Arrays to enable high performance on large data volumes produced by the hyperspectral imager.

  19. Optical monitoring of rheumatoid arthritis: Monte Carlo generated reconstruction kernels

    NASA Astrophysics Data System (ADS)

    Minet, O.; Beuthan, J.; Hielscher, A. H.; Zabarylo, U.

    2008-06-01

    Optical imaging in biomedicine is governed by the light absorption and scattering interaction on microscopic and macroscopic constituents in the medium. Therefore, light scattering characteristics of human tissue correlate with the stage of some diseases. In the near infrared range the scattering event with the coefficient approximately two orders of magnitude greater than absorption plays a dominant role. When measuring the optical parameters variations were discovered that correlate with the rheumatoid arthritis of a small joint. The potential of an experimental setup for transillumination the finger joint with a laser diode and the pattern of the stray light detection are demonstrated. The scattering caused by skin contains no useful information and it can be removed by a deconvolution technique to enhance the diagnostic value of this non-invasive optical method. Monte Carlo simulations ensure both the construction of the corresponding point spread function and both the theoretical verification of the stray light picture in rather complex geometry.

  20. 75 FR 52504 - Notice of Request for Approval of an Information Collection; National Animal Health Monitoring...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2010-08-26

    ... Information Collection; National Animal Health Monitoring System; Dairy Heifer Raiser 2010 Study AGENCY... National Animal Health Monitoring System Dairy Heifer Raiser 2010 Study. DATES: We will consider all....gov ). FOR FURTHER INFORMATION CONTACT: For information on the Dairy Heifer Raiser 2010 Study,...

  1. Online Monitoring Technical Basis and Analysis Framework for Emergency Diesel Generators - Interim Report for FY 2013

    SciTech Connect

    Binh T. Pham; Nancy J. Lybeck; Vivek Agarwal

    2012-12-01

    The Light Water Reactor Sustainability program at Idaho National Laboratory is actively conducting research to develop and demonstrate online monitoring capabilities for active components in existing nuclear power plants. Idaho National Laboratory and the Electric Power Research Institute are working jointly to implement a pilot project to apply these capabilities to emergency diesel generators and generator step-up transformers. The Electric Power Research Institute Fleet-Wide Prognostic and Health Management Software Suite will be used to implement monitoring in conjunction with utility partners: Braidwood Generating Station (owned by Exelon Corporation) for emergency diesel generators, and Shearon Harris Nuclear Generating Station (owned by Duke Energy Progress) for generator step-up transformers. This report presents monitoring techniques, fault signatures, and diagnostic and prognostic models for emergency diesel generators. Emergency diesel generators provide backup power to the nuclear power plant, allowing operation of essential equipment such as pumps in the emergency core coolant system during catastrophic events, including loss of offsite power. Technical experts from Braidwood are assisting Idaho National Laboratory and Electric Power Research Institute in identifying critical faults and defining fault signatures associated with each fault. The resulting diagnostic models will be implemented in the Fleet-Wide Prognostic and Health Management Software Suite and tested using data from Braidwood. Parallel research on generator step-up transformers was summarized in an interim report during the fourth quarter of fiscal year 2012.

  2. 38 CFR 1.483 - Disclosure of information to participate in state prescription drug monitoring programs.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ..., and Veterans' Relief DEPARTMENT OF VETERANS AFFAIRS GENERAL PROVISIONS Disclosures Without Patient Consent § 1.483 Disclosure of information to participate in state prescription drug monitoring...

  3. 38 CFR 1.483 - Disclosure of information to participate in state prescription drug monitoring programs.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ..., and Veterans' Relief DEPARTMENT OF VETERANS AFFAIRS GENERAL PROVISIONS Disclosures Without Patient Consent § 1.483 Disclosure of information to participate in state prescription drug monitoring...

  4. Optimizing seismic monitoring for landslides by using on-site artificially generated signals

    NASA Astrophysics Data System (ADS)

    Yfantis, Georgios; Martinez Carvajal, Hernan Eduardo; Pytharouli, Stella; Lunn, Rebecca

    2013-04-01

    We develop a methodology for the optimization of seismic arrays used for landslide monitoring. We design an experimental field set-up that generates signals caused by soil friction, such as those during a landslide. The set-up allows for controlling the normal stress, moisture content and the size of the slippage interface area. The optimization is based on the frequency and energy content analysis of the emitted artificial landslide signals and how local geology affects them. This can significantly improve the detection threshold of the monitoring system, the design of which, to-date, is mainly based on speculations for the site conditions or expensive borehole logs and its optimization on time-consuming trial and error procedures. We use a concrete cylinder, 0.5m high and 0.65m wide filled with high porous tropical clay excavated from the experimental site. The cylinder is placed on a 4m long, 2m wide clay strip, free from any surficial vegetation. As the cylinder is moved horizontally along the corridor, soil friction generates signals. By varying the load applied by the material within the cylinder we simulate slippage at different depths. Five different normal stress levels between 11.9kPa and 22.5kPa, corresponding to depths of 0.7 and 1.4m respectively, are simulated. The load applied on the slippage surface is the only variable, thus allowing the investigation of the normal stress effect on the emitted signals. The experiment is completed within 3 hours, under the same weather conditions. Therefore, no changes in the clay, i.e. moisture content, take place. We minimize the ambient noise by performing the experiment during the night. For the monitoring of the generated seismic signals we use 12 short period 3-component seismometers with natural frequency of 2Hz. Eight sensors are deployed as a linear array (spacing between them is 1 to 2m with the first and last sensors being 2m and 15m away from the strip, respectively) perpendicular to the direction of

  5. The generation of meaningful information in molecular systems.

    PubMed

    Wills, Peter R

    2016-03-13

    The physico-chemical processes occurring inside cells are under the computational control of genetic (DNA) and epigenetic (internal structural) programming. The origin and evolution of genetic information (nucleic acid sequences) is reasonably well understood, but scant attention has been paid to the origin and evolution of the molecular biological interpreters that give phenotypic meaning to the sequence information that is quite faithfully replicated during cellular reproduction. The near universality and age of the mapping from nucleotide triplets to amino acids embedded in the functionality of the protein synthetic machinery speaks to the early development of a system of coding which is still extant in every living organism. We take the origin of genetic coding as a paradigm of the emergence of computation in natural systems, focusing on the requirement that the molecular components of an interpreter be synthesized autocatalytically. Within this context, it is seen that interpreters of increasing complexity are generated by series of transitions through stepped dynamic instabilities (non-equilibrium phase transitions). The early phylogeny of the amino acyl-tRNA synthetase enzymes is discussed in such terms, leading to the conclusion that the observed optimality of the genetic code is a natural outcome of the processes of self-organization that produced it.

  6. Transforming Health Care Delivery Through Consumer Engagement, Health Data Transparency, and Patient-Generated Health Information

    PubMed Central

    Wald, J. S.

    2014-01-01

    Summary Objectives Address current topics in consumer health informatics. Methods Literature review. Results Current health care delivery systems need to be more effective in the management of chronic conditions as the population turns older and experiences escalating chronic illness that threatens to consume more health care resources than countries can afford. Most health care systems are positioned poorly to accommodate this. Meanwhile, the availability of ever more powerful and cheaper information and communication technology, both for professionals and consumers, has raised the capacity to gather and process information, communicate more effectively, and monitor the quality of care processes. Conclusions Adapting health care systems to serve current and future needs requires new streams of data to enable better self-management, improve shared decision making, and provide more virtual care. Changes in reimbursement for health care services, increased adoption of relevant technologies, patient engagement, and calls for data transparency raise the importance of patient-generated health information, remote monitoring, non-visit based care, and other innovative care approaches that foster more frequent contact with patients and better management of chronic conditions. PMID:25123739

  7. 75 FR 62098 - Proposed Information Collection; Comment Request; Expanded Vessel Monitoring System Requirement...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2010-10-07

    ... National Oceanic and Atmospheric Administration Proposed Information Collection; Comment Request; Expanded Vessel Monitoring System Requirement in the Pacific Coast Groundfish Fishery AGENCY: National Oceanic and... Federal agencies to take this opportunity to comment on proposed and/or continuing information...

  8. An anesthesia information system for monitoring and record keeping during surgical anesthesia.

    PubMed

    Klocke, H; Trispel, S; Rau, G; Hatzky, U; Daub, D

    1986-10-01

    We have developed an anesthesia information system (AIS) that supports the anesthesiologist in monitoring and recording during a surgical operation. In development of the system, emphasis was placed on providing an anesthesiologist-computer interface that can be adapted to typical situations during anesthesia and to individual user behavior. One main feature of this interface is the integration of the input and output of information. The only device for interaction between the anesthesiologist and the AIS is a touch-sensitive, high-resolution color display screen. The anesthesiologist enters information by touching virtual function keys displayed on the screen. A data window displays all data generated over time, such as automatically recorded vital signs, including blood pressure, heart rate, and rectal and esophageal temperatures, and manually entered variables, such as administered drugs, and ventilator settings. The information gathered by the AIS is presented on the cathode ray tube in several pages. A main distributor page gives an overall view of the content of every work page. A one-page record of the anesthesia is automatically plotted on a multicolor digital plotter during the operation. An example of the use of the AIS is presented from a field test of the system during which it was evaluated in the operating room without interfering with the ongoing operation. Medical staff who used the AIS imitated the anesthesiologist's recording and information search behavior but did not have responsibility for the conduct of the anesthetic.

  9. Prototyping with Application Generators: Lessons Learned from the Naval Aviation Logistics Command Management Information System Case

    DTIC Science & Technology

    1992-10-01

    Prototyping with Application Generators: Lessons Learned from the Naval Aviation Logistics Command Management Information System Case. This study... management information system to automate manual Naval aviation maintenance tasks-NALCOMIS. With the use of a fourth-generation programming language

  10. Information Management Systems for Monitoring and Documenting World Heritage - the Silk Roads Chris

    NASA Astrophysics Data System (ADS)

    Vileikis, O.; Serruys, E.; Dumont, B.; van Balen, K.; Santana Quinterod, M.; de Maeyer, P.; Tigny, V.

    2012-07-01

    This paper discusses the application of Information Management Systems (IMS) for documenting and monitoring World Heritage (WH) properties. The application of IMS in WH can support all stakeholders involved in conservation, and management of cultural heritage by more easily inventorying, mining and exchanging information from multiple sources based on international standards. Moreover, IMS could assist in detecting damages and preparing management strategies to mitigate risks, and slowing down the deterioration of the integrity of WH properties. The case study of the Silk Roads Cultural Heritage Resource Information System (CHRIS), a Belgian Federal Science Policy Office funded project, illustrates the capabilities of IMS in the context of the nomination of the Central Asian Silk Roads on the WH List. This multi-lingual, web-based IMS will act as a collaborative platform allowing for the completion of improved transnational nomination dossiers and subsequent monitoring activities with all necessary baseline information to easily verify consistency and quality of the proposal. The Silk Roads CHRIS Geospatial Content Management System uses open source technologies and allows to georeference data from different scales and sources including data from field recording methods and combine it with historical and heritage features documented through various means such as textual descriptions, documents, photographs, 3D models or videos. Moreover, tailored maps can also be generated by overlaying a selection of available layers and then be exported to support the nomination dossier. Finally, by using this innovative information and decision support system, the State Parties and other interested stakeholders will have access to a complete nomination dossier and could therefore respond more effectively to hazards and disaster phenomena.

  11. Higgs mass generation from the standpoint of information

    NASA Astrophysics Data System (ADS)

    Frieden, B. R.; Plastino, A.

    2001-01-01

    An alternative Lagrangian is derived for imparting mass to the Higgs H0, Z0 and W± bosons. The Lagrangian derives from considerations of measurement: that of the four-position of one of the bosons. (Neither the Cooper pair nor vacuum perturbation approach is taken.) The quality of the measurement can be specified by its level of Fisher information. The Lagrangian arises as a simple statement of lossless acquisition of information by the measurement process. All boson fields are regarded as probability amplitudes, and a Lagrangian variational solution is Proca equations for the Higgs Z0 and W± probability amplitudes, and a uniform amplitude function for H0. Also, the measured location of H0 is found to be quantum mechanically entangled with the mass of Z0 or W±. With ɛH the root-mean square uncertainty in the measured four-position of H0, this is as ɛHMZ⩾ℏ/2 c in a U(1) analysis, and as ɛ HM W2+0.5M Z2⩾ℏ/2c in an SU(2) analysis. MW and MZ are the masses of the W± and Z0 bosons. The mass MZ arises as if the outcome of a zero-sum game of mass acquisition played by Z0 and H0. The above inequalities are well-obeyed by currently known limiting values of ɛH, MW and MZ. They also imply an upper bound of about 206 GeV/c 2 to the mass MH of H0. The uniform nature of the probability amplitude function for H0 implies uniform mass generation over four-space and, hence, the cosmological principle of astronomy.

  12. Precipitation variability within an urban monitoring network via microcanonical cascade generators

    NASA Astrophysics Data System (ADS)

    Licznar, P.; De Michele, C.; Adamowski, W.

    2015-01-01

    Understanding the variability of precipitation at small scales is fundamental in urban hydrology. Here we consider the case study of Warsaw, Poland, characterized by a precipitation-monitoring network of 25 gauges and microcanonical cascade models as the instrument of investigation. We address the following issues partially investigated in literature: (1) the calibration of microcanonical cascade model generators in conditions of short time series (i.e., 2.5-5 years), (2) the identification of the probability distribution of breakdown coefficients (BDCs) through ranking criteria and (3) the variability among the gauges of the monitoring network of the empirical distribution of BDCs. In particular, (1) we introduce an overlapping moving window algorithm to determine the histogram of BDCs and compare it with the classic non-overlapping moving window algorithm; (2) we compare the 2N-B distribution, a mixed distribution composed of two normal (N) and one beta (B), with the classic B distribution to represent the BDCs using the Akaike information criterion; and (3) we use the cluster analysis to identify patterns of BDC histograms among gauges and timescales. The scarce representation of the BDCs at large timescales, due to the short period of observation (~ 2.5 years), is solved through the overlapping moving window algorithm. BDC histograms are described by a 2N-B distribution. A clear evolution of this distribution is observed, in all gauges, from 2N-B for small timescales, N-B for intermediate timescales and B distribution for large timescales. The performance of the microcanonical cascades is evaluated for the considered gauges. Synthetic time series are analyzed with respect to the intermittency and the variability of intensity and compared to observed series. BDC histograms for each timescale are compared with the 25 gauges in Warsaw and with other gauges located in Poland and Germany.

  13. Monitoring and control requirement definition study for Dispersed Storage and Generation (DSG), volume 1

    NASA Technical Reports Server (NTRS)

    1980-01-01

    Twenty-four functional requirements were prepared under six categories and serve to indicate how to integrate dispersed storage generation (DSG) systems with the distribution and other portions of the electric utility system. Results indicate that there are no fundamental technical obstacles to prevent the connection of dispersed storage and generation to the distribution system. However, a communication system of some sophistication is required to integrate the distribution system and the dispersed generation sources for effective control. The large-size span of generators from 10 KW to 30 MW means that a variety of remote monitoring and control may be required. Increased effort is required to develop demonstration equipment to perform the DSG monitoring and control functions and to acquire experience with this equipment in the utility distribution environment.

  14. 76 FR 13969 - Notice of Request for Approval of an Information Collection; National Animal Health Monitoring...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2011-03-15

    ...; National Animal Health Monitoring System; Needs Assessments AGENCY: Animal and Plant Health Inspection... National Animal Health Monitoring System needs assessments. DATES: We will consider all comments that we... FURTHER INFORMATION CONTACT: For information on the Needs Assessment study, contact Mr. Chris...

  15. Review of information and communication technology devices for monitoring functional and cognitive decline in Alzheimer's disease clinical trials.

    PubMed

    Pillai, Jagan A; Bonner-Jackson, Aaron

    2015-01-01

    Detecting and monitoring early cognitive impairment in Alzheimer's disease (AD) is a significant need in the field of AD therapeutics. Successful AD clinical trial designs have to overcome challenges related to the subtle nature of early cognitive changes. Continuous unobtrusive assessments using Information and Communication Technology (ICT) devices to capture markers of intra-individual change over time to assess cognitive and functional disability therefore offers significant benefits. We review the literature and provide an overview on randomized clinical trials in AD that use intelligent systems to monitor functional decline, as well as strengths, weaknesses, and future directions for the use of ICTs in a new generation of AD clinical trials.

  16. Monitor Tone Generates Stress in Computer and VDT Operators: A Preliminary Study.

    ERIC Educational Resources Information Center

    Dow, Caroline; Covert, Douglas C.

    A near-ultrasonic pure tone of 15,570 Herz generated by flyback transformers in computer and video display terminal (VDT) monitors may cause severe non-specific irritation or stress disease in operators. Women hear higher frequency sounds than men and are twice as sensitive to "too loud" noise. Pure tones at high frequencies are more…

  17. Field monitoring of condition of large electric generators. (Latest citations from the EI Compendex plus database). Published Search

    SciTech Connect

    Not Available

    1993-08-01

    The bibliography contains citations concerning monitoring techniques to determine the condition of large electric generators. Electric generators are limited to turbine generators, variously called hydroturbines, turbogenerators and turbosets. Wind turbines and magnetohydrodynamics are not included in this bibliography. Techniques for condition monitoring include noise analysis and acoustic monitoring, vibration and misalignment measurements, bearing oil analyses, and transient torsional changes affecting shafts and rotors. (Contains a minimum of 178 citations and includes a subject term index and title list.)

  18. Transmission tower classification based on landslide risk map generated by Geographical Information System (GIS) at Cameron Highlands

    NASA Astrophysics Data System (ADS)

    K, Hazwani N.; O, Rohayu C.; U, Fathoni; Baharuddin, Inz

    2013-06-01

    Transmission tower is usually locates at remote area which is covered by hilly topography. Landslide is mainly occurring at hilly area and causing failure to the tower structure. This phenomenon subsequently will affect the national electricity supply. A landslide risk hazard map is generated using Geographical Information System (GIS). Risk classification is introduced to initiate the monitoring process along Jor-Bintang transmission line, Cameron Highland, Pahang. The classification has been divided into three categories, which are low, medium and high. This method can be applied in slope monitoring activities since all towers have been classified based on their risk level. Therefore, maintenance schedule can be planned smoothly and efficiently.

  19. Transmission tower classification based on landslide risk Map generated by Geographical Information System (GIS) at Cameron Highlands

    NASA Astrophysics Data System (ADS)

    K, Hazwani N.; O, Rohayu C.; U, Fathoni; Baharuddin, I. N. Z.; A, Azwin Z.

    2013-06-01

    Transmission tower is usually locates at remote area which is covered by hilly topography. Landslide is mainly occurring at hilly area and causing failure to the tower structure. This phenomenon subsequently will affect the national electricity supply. A landslide risk hazard map is generated using Geographical Information System (GIS). Risk classification is introduced to initiate the monitoring process along Jor-Bintang transmission line, Cameron Highland, Pahang. The classification has been divided into three categories, which are low, medium and high. This method can be applied in slope monitoring activities since all towers have been classified based on their risk level. Therefore, maintenance schedule can be planned smoothly and efficiently.

  20. Retrieval monitoring is influenced by information value: the interplay between importance and confidence on false memory.

    PubMed

    McDonough, Ian M; Bui, Dung C; Friedman, Michael C; Castel, Alan D

    2015-10-01

    The perceived value of information can influence one's motivation to successfully remember that information. This study investigated how information value can affect memory search and evaluation processes (i.e., retrieval monitoring). In Experiment 1, participants studied unrelated words associated with low, medium, or high values. Subsequent memory tests required participants to selectively monitor retrieval for different values. False memory effects were smaller when searching memory for high-value than low-value words, suggesting that people more effectively monitored more important information. In Experiment 2, participants studied semantically-related words, and the need for retrieval monitoring was reduced at test by using inclusion instructions (i.e., endorsement of any word related to the studied words) compared with standard instructions. Inclusion instructions led to increases in false recognition for low-value, but not for high-value words, suggesting that under standard-instruction conditions retrieval monitoring was less likely to occur for important information. Experiment 3 showed that words retrieved with lower confidence were associated with more effective retrieval monitoring, suggesting that the quality of the retrieved memory influenced the degree and effectiveness of monitoring processes. Ironically, unless encouraged to do so, people were less likely to carefully monitor important information, even though people want to remember important memories most accurately.

  1. Monitoring

    SciTech Connect

    Orr, Christopher Henry; Luff, Craig Janson; Dockray, Thomas; Macarthur, Duncan Whittemore

    2004-11-23

    The invention provides apparatus and methods which facilitate movement of an instrument relative to an item or location being monitored and/or the item or location relative to the instrument, whilst successfully excluding extraneous ions from the detection location. Thus, ions generated by emissions from the item or location can successfully be monitored during movement. The technique employs sealing to exclude such ions, for instance, through an electro-field which attracts and discharges the ions prior to their entering the detecting location and/or using a magnetic field configured to repel the ions away from the detecting location.

  2. Access to Government-Generated Information: Current Issues and Implications.

    ERIC Educational Resources Information Center

    Williamson, Linda E.

    1987-01-01

    Reviews both historical and current policies for access to government information, and discusses such current trends in government information as paperwork reduction, commercialization, privatization, and electronic publishing. The possible impact of these trends on the library's ability to provide access to information is briefly considered. (CLB)

  3. Technology Mediated Information Sharing (Monitor Sharing) in Primary Care Encounters

    ERIC Educational Resources Information Center

    Asan, Onur

    2013-01-01

    The aim of this dissertation study was to identify and describe the use of electronic health records (EHRs) for information sharing between patients and clinicians in primary-care encounters and to understand work system factors influencing information sharing. Ultimately, this will promote better design of EHR technologies and effective training…

  4. Next generation information communication infrastructure and case studies for future power systems

    NASA Astrophysics Data System (ADS)

    Qiu, Bin

    As power industry enters the new century, powerful driving forces, uncertainties and new functions are compelling electric utilities to make dramatic changes in their information communication infrastructure. Expanding network services such as real time measurement and monitoring are also driving the need for more bandwidth in the communication network. These needs will grow further as new remote real-time protection and control applications become more feasible and pervasive. This dissertation addresses two main issues for the future power system information infrastructure: communication network infrastructure and associated power system applications. Optical networks no doubt will become the predominant data transmission media for next generation power system communication. The rapid development of fiber optic network technology poses new challenges in the areas of topology design, network management and real time applications. Based on advanced fiber optic technologies, an all-fiber network is investigated and proposed. The study will cover the system architecture and data exchange protocol aspects. High bandwidth, robust optical networks could provide great opportunities to the power system for better service and efficient operation. In the dissertation, different applications are investigated. One of the typical applications is the SCADA information accessing system. An Internet-based application for the substation automation system will be presented. VLSI (Very Large Scale Integration) technology is also used for one-line diagrams auto-generation. High transition rate and low latency optical network is especially suitable for power system real time control. In the dissertation, a new local area network based Load Shedding Controller (LSC) for isolated power system will be presented. By using PMU (Phasor Measurement Unit) and fiber optic network, an AGE (Area Generation Error) based accurate wide area load shedding scheme will also be proposed. The objective

  5. Operational-Condition-Independent Criteria Dedicated to Monitoring Wind Turbine Generators: Preprint

    SciTech Connect

    Yang, W.; Sheng, S.; Court, R.

    2012-08-01

    To date the existing wind turbine condition monitoring technologies and commercially available systems have not been fully accepted for improving wind turbine availability and reducing their operation and maintenance costs. One of the main reasons is that wind turbines are subject to constantly varying loads and operate at variable rotational speeds. As a consequence, the influences of turbine faults and the effects of varying load and speed are coupled together in wind turbine condition monitoring signals. So, there is an urgent need to either introduce some operational condition de-coupling procedures into the current wind turbine condition monitoring techniques or develop a new operational condition independent wind turbine condition monitoring technique to maintain high turbine availability and achieve the expected economic benefits from wind. The purpose of this paper is to develop such a technique. In the paper, three operational condition independent criteria are developed dedicated for monitoring the operation and health condition of wind turbine generators. All proposed criteria have been tested through both simulated and practical experiments. The experiments have shown that these criteria provide a solution for detecting both mechanical and electrical faults occurring in wind turbine generators.

  6. Performance monitoring algorithm for optimizing electrical power generated by using photovoltaic system

    NASA Astrophysics Data System (ADS)

    Pradeep, M. V. K.; Balbir, S. M. S.; Norani, M. M.

    2016-11-01

    Demand for electricity in Malaysia has seen a substantial hike in light of the nation's rapid economic development. The current method of generating electricity is through the combustion of fossil fuels which has led to the detrimental effects on the environment besides causing social and economic outbreaks due to its highly volatile prices. Thus the need for a sustainable energy source is paramount and one that is quickly gaining acceptance is solar energy. However, due to the various environmental and geographical factors that affect the generation of solar electricity, the capability of solar electricity generating system (SEGS) is unable to compete with the high conversion efficiencies of conventional energy sources. In order to effectively monitor SEGS, this study is proposing a performance monitoring system that is capable of detecting drops in the system's performance for parallel networks through a diagnostic mechanism. The performance monitoring system consists of microcontroller connected to relevant sensors for data acquisition. The acquired data is transferred to a microcomputer for software based monitoring and analysis. In order to enhance the interception of sunlight by the SEGS, a sensor based sun tracking system is interfaced to the same controller to allow the PV to maneuver itself autonomously to an angle of maximum sunlight exposure.

  7. Next-Generation Search Engines for Information Retrieval

    SciTech Connect

    Devarakonda, Ranjeet; Hook, Leslie A; Palanisamy, Giri; Green, James M

    2011-01-01

    In the recent years, there have been significant advancements in the areas of scientific data management and retrieval techniques, particularly in terms of standards and protocols for archiving data and metadata. Scientific data is rich, and spread across different places. In order to integrate these pieces together, a data archive and associated metadata should be generated. Data should be stored in a format that can be retrievable and more importantly it should be in a format that will continue to be accessible as technology changes, such as XML. While general-purpose search engines (such as Google or Bing) are useful for finding many things on the Internet, they are often of limited usefulness for locating Earth Science data relevant (for example) to a specific spatiotemporal extent. By contrast, tools that search repositories of structured metadata can locate relevant datasets with fairly high precision, but the search is limited to that particular repository. Federated searches (such as Z39.50) have been used, but can be slow and the comprehensiveness can be limited by downtime in any search partner. An alternative approach to improve comprehensiveness is for a repository to harvest metadata from other repositories, possibly with limits based on subject matter or access permissions. Searches through harvested metadata can be extremely responsive, and the search tool can be customized with semantic augmentation appropriate to the community of practice being served. One such system, Mercury, a metadata harvesting, data discovery, and access system, built for researchers to search to, share and obtain spatiotemporal data used across a range of climate and ecological sciences. Mercury is open-source toolset, backend built on Java and search capability is supported by the some popular open source search libraries such as SOLR and LUCENE. Mercury harvests the structured metadata and key data from several data providing servers around the world and builds a

  8. Wildfire monitoring via the integration of remote sensing with innovative information technologies

    NASA Astrophysics Data System (ADS)

    Kontoes, C.; Papoutsis, I.; Michail, D.; Herekakis, Th.; Koubarakis, M.; Kyzirakos, K.; Karpathiotakis, M.; Nikolaou, C.; Sioutis, M.; Garbis, G.; Vassos, S.; Keramitsoglou, I.; Kersten, M.; Manegold, S.; Pirk, H.

    2012-04-01

    In the Institute for Space Applications and Remote Sensing of the National Observatory of Athens (ISARS/NOA) volumes of Earth Observation images of different spectral and spatial resolutions are being processed on a systematic basis to derive thematic products that cover a wide spectrum of applications during and after wildfire crisis, from fire detection and fire-front propagation monitoring, to damage assessment in the inflicted areas. The processed satellite imagery is combined with auxiliary geo-information layers, including land use/land cover, administrative boundaries, road and rail network, points of interest, and meteorological data to generate and validate added-value fire-related products. The service portfolio has become available to institutional End Users with a mandate to act on natural disasters and that have activated Emergency Support Services at a European level in the framework of the operational GMES projects SAFER and LinkER. Towards the goal of delivering integrated services for fire monitoring and management, ISARS/NOA employs observational capacities which include the operation of MSG/SEVIRI and NOAA/AVHRR receiving stations, NOA's in-situ monitoring networks for capturing meteorological parameters to generate weather forecasts, and datasets originating from the European Space Agency and third party satellite operators. The qualified operational activity of ISARS/NOA in the domain of wildfires management is highly enhanced by the integration of state-of-the-art Information Technologies that have become available in the framework of the TELEIOS (EC/ICT) project. TELEIOS aims at the development of fully automatic processing chains reliant on a) the effective storing and management of the large amount of EO and GIS data, b) the post-processing refinement of the fire products using semantics, and c) the creation of thematic maps and added-value services. The first objective is achieved with the use of advanced Array Database technologies, such

  9. A Structural Approach to Performance Monitoring of Waste Sites: Obtaining Actionable Information

    NASA Astrophysics Data System (ADS)

    Mattson, E. D.; Versteeg, R.; Ankeny, M.; Richardson, A.

    2005-05-01

    Both government and non-government agencies are faced with the challenge of long-term monitoring of waste sites and landfills. Such monitoring should provide actionable information on how these sites are evolving, including (but not limited to) information on the success of remedial treatment methods (either active or passive), compliance with regulatory standards, and evolution of system behavior associated with these sites. Current monitoring efforts suffer from the lack of integration between data collection, data management, information extraction and information use. An alternative to such efforts is the use of a structural approach to performance monitoring developed at Idaho National Laboratory (INL). This approach has the following characteristics (1) tight integration between monitoring objectives and data collection efforts (2) well structured storage of all relevant monitoring data (3) establishment of transparent, reproducible procedures for translation of data to information (including coupling of data to models) (4) development of a web based interface to the monitoring system, providing easy access to data and results by multiple stakeholders. We will discuss several examples of the implementation of the INL monitoring system, including an EPA superfund site and several landfill sites.

  10. The rhetoric of informed choice: perspectives from midwives on intrapartum fetal heart rate monitoring

    PubMed Central

    Hindley, Carol; Thomson, Ann M.

    2005-01-01

    Abstract Objective  To investigate midwives’ attitudes, values and beliefs on the use of intrapartum fetal monitoring. Design  Qualitative, semi‐structured interviews Subjects and setting  Fifty‐eight registered midwives in two hospitals in the North of England. Results  In this paper two main themes are discussed, these are: informed choice, and the power of the midwife. Midwives favoured the application of informed choice and shared a unanimous consensus on the definition. However, the idealistic perception of informed choice, which included contemporary notions of empowerment and autonomy for women expressing an informed choice, was not reportedly translated into practice. Midwives had to implement informed choice on intrapartum fetal monitoring within a competing set of health service agendas, i.e. medically driven protocols and a political climate of actively managed childbearing. This resulted in the manipulation of information during the midwives’ interactions with women. This ultimately meant that the women often got the choice the midwives wanted them to have. Conclusions  The information that a midwife imparts may consciously or subconsciously affect the woman's uptake and understanding of information. Therefore, the midwife has a powerful role to play in balancing the benefits and risk ratios applicable to fetal heart rate monitoring. However, a deeply ingrained pre‐occupation with technological methods of intrapartum fetal monitoring over many years has made it difficult for midwives to offer alternative forms of monitoring. This has placed limits on the facilitation of informed choice and autonomous decision making for women. PMID:16266418

  11. Electrochemical and microbial monitoring of multi-generational electroactive biofilms formed from mangrove sediment.

    PubMed

    Rivalland, Caroline; Madhkour, Sonia; Salvin, Paule; Robert, Florent

    2015-12-01

    Electroactive biofilms were formed from French Guiana mangrove sediments for the analysis of bacterial communities' composition. The electrochemical monitoring of three biofilm generations revealed that the bacterial selection occurring at the anode, supposedly leading microbial electrochemical systems (MESs) to be more efficient, was not the only parameter to be taken into account so as to get the best electrical performance (maximum current density). Indeed, first biofilm generations produced a stable current density reaching about 18 A/m(2) while second and third generations produced current densities of about 10 A/m(2). MES bacterial consortia were characterized thanks to molecular biology techniques: DGGE and MiSeq® sequencing (Illumina®). High-throughput sequencing data statistical analysis confirmed preliminary DGGE data analysis, showing strong similarities between electroactive biofilms of second and third generations, but also revealing both selection and stabilization of the biofilms.

  12. A Theory of Information Genetics: How Four Subforces Generate Information and the Implications for Total Quality Knowledge Management.

    ERIC Educational Resources Information Center

    Tsai, Bor-sheng

    2002-01-01

    Proposes a model called information genetics to elaborate on the origin of information generating. Explains conceptual and data models; and describes a software program that was developed for citation data mining, infomapping, and information repackaging for total quality knowledge management in Web representation. (Contains 112 references.)…

  13. 75 FR 57736 - Notice of Request for Approval of an Information Collection; National Animal Health Monitoring...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2010-09-22

    ... Information Collection; National Animal Health Monitoring System; Small-Scale Livestock Operations 2011 Study... National Animal Health Monitoring System Small-Scale Livestock Operations 2011 Study. DATES: We will...-Scale Livestock Operations 2011 Study, contact Ms. Sandra Warnken, Management and Program...

  14. OZONE MONITORING, MAPPING, AND PUBLIC OUTREACH: DELIVERING REAL-TIME OZONE INFORMATION TO YOUR COMMUNITY

    EPA Science Inventory

    The U.S. EPA had developed a handbook to help state and local government officials implement ozone monitoring, mapping, and outreach programs. The handbook, called Ozone Monitoring, Mapping, and Public Outreach: Delivering Real-Time Ozone Information to Your Community, provides ...

  15. Software framework for prognostic health monitoring of ocean-based power generation

    NASA Astrophysics Data System (ADS)

    Bowren, Mark

    On August 5, 2010 the U.S. Department of Energy (DOE) has designated the Center for Ocean Energy Technology (COET) at Florida Atlantic University (FAU) as a national center for ocean energy research and development of prototypes for open-ocean power generation. Maintenance on ocean-based machinery can be very costly. To avoid unnecessary maintenance it is necessary to monitor the condition of each machine in order to predict problems. This kind of prognostic health monitoring (PHM) requires a condition-based maintenance (CBM) system that supports diagnostic and prognostic analysis of large amounts of data. Research in this field led to the creation of ISO13374 and the development of a standard open-architecture for machine condition monitoring. This thesis explores an implementation of such a system for ocean-based machinery using this framework and current open-standard technologies.

  16. 30 CFR 250.221 - What environmental monitoring information must accompany the EP?

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... INTERIOR OFFSHORE OIL AND GAS AND SULPHUR OPERATIONS IN THE OUTER CONTINENTAL SHELF Plans and Information... for monitoring the impacts of an oil spill on the environmentally sensitive resources at the FGBNMS....

  17. 77 FR 73975 - Information Collection: National Visitor Use Monitoring

    Federal Register 2010, 2011, 2012, 2013, 2014

    2012-12-12

    ... concerning this notice should be addressed to Dr. Donald B.K. English, Recreation, Heritage, and Volunteer... facilitate entry to the building. FOR FURTHER INFORMATION CONTACT: Donald B.K. English, Recreation, Heritage... revisions of land and resource management plans for national forests. It provides managers with...

  18. Guaranteed Student Loan Default Information. NASFAA Federal Monitor, No. 166.

    ERIC Educational Resources Information Center

    National Association of Student Financial Aid Administrators, Washington, DC.

    Recent developments on the topic of Guaranteed Student Loan defaults are summarized, in light of a recent shift in the focus of default reduction efforts from loan originators to the schools themselves. Background information on recent default reports is provided, the recommendations of the Secretary of Education are discussed, and the legislative…

  19. Fast flux test facility performance monitoring management information, July 1988

    SciTech Connect

    Newland, D J

    1988-08-01

    The purpose of this report is to provide management with performance data on key performance indicators selected from the FFTF Early Warning System performance indicators. This report contains the results for key performance indicators divided into two categories of ``overall`` and ``other.`` The ``overall`` performance indicators, when considered in the aggregate, provide one means of monitoring overall plant performance. The data should be used in conjunction with the results of other management assessment activities to focus improvement efforts. Use of these key performance indicators as a group is stressed, since focusing on a single indicator or a narrow set of indicators can be counterproductive both to safety and to long-term performance improvement.

  20. Fast flux test facility performance monitoring management information; June 1989

    SciTech Connect

    Newland, D J

    1989-07-01

    The purpose of this report is to provide management with performance data on key performance indicators selected from the FFTF Early Warning System performance indicators. This report contains the results for key performance indicators divided into two categories of ``overall`` and ``other``. The ``overall`` performance indicators, when considered in the aggregate, provide one means of monitoring overall plant performance. The data should be used in conjunction with the results of other management assessment activities to focus improvement efforts. Use of these key performance indicators as a group is stressed, since focusing on a single indicator or a narrow set of indicators can be counterproductive both to safety and to long-term performance improvement.

  1. Fast Flux Test Facility Performance Monitoring Management Information January 1988

    SciTech Connect

    Newland, D J

    1988-02-01

    The purpose of this report is to provide management with performance data on key performance indicators selected from the FFTF Early Warning System performance indicators. This report contains the results for key performance indicators divided into two categories of ``overall`` and ``other``. The ``overall`` performance indicators, when considered in the aggregate, provide one means of monitoring overall plant performance. The data should be used in conjunction with the results of other management assessment activities to focus improvement efforts. Use of these key performance indicators as a group is stressed, since focusing on a single indicator or a narrow set of indicators can be counterproductive both to safety and to long-term performance improvement.

  2. Fast Flux Test Facility performance monitoring management information, December 1987

    SciTech Connect

    Newland, D J

    1988-01-01

    The purpose of this report is to provide management with performance data on key performance indicators selected from the FFTF Early Warning System performance indicators. This report contains the results for key performance indicators divided into two categories of ``overall`` and ``other``. The ``overall`` performance indicators, when considered in the aggregate, provide one means of monitoring overall plant performance. The data should be used in conjunction with the results of other management assessment activities to focus improvement efforts. Use of these key performance indicators as a group is stressed, since focusing on a single indicator or a narrow set of indicators can be counterproductive both to safety and to long-term performance improvement.

  3. Fast Flux Test Facility Performance Monitoring Management Information February 1988

    SciTech Connect

    Newland, D J

    1988-03-01

    The purpose of this report is to provide management with performance data on key performance indicators selected from the FFTF Early Warning System performance indicators. This report contains the results for key performance indicators divided into two categories of ``overall`` and ``other.`` The ``overall`` performance indicators, when considered in the aggregate, provide one means of monitoring overall plant performance. The ``other`` performance indicators are considered useful management tools for assessing the specific areas they address. The data should be used in conjunction with the results of other management assessment activities to focus improvement efforts. Use of these key performance indicators as a group is stressed, since focusing on a single indicator or a narrow set of indicators can be counterproductive both to safety and to long-term performance improvement. 26 figs., 2 tabs.

  4. Fast Flux Test Facility Performance Monitoring Management Information April 1989

    SciTech Connect

    Newland, D. J.

    1989-05-01

    The purpose of this report is to provide management with performance data on key performance indicators selected from the FFTF Early Warning System performance indicators. This report contains the result for key performance indicators divided into two categories of ``overall`` and ``other``. The ``overall`` performance indicators, when considered in the aggregate, provide one means of monitoring overall plant performance. Overall performance indicators are listed. The ``other`` performance indicators, are considered useful management tools for assessing the specific areas they address. The data should be used in conjunction with the results of other management assessment activities to focus improvement efforts. Use of these key performance indicators as a group is stressed, since focusing on a single indicator or a narrow set of indicators can be counterproductive both to safety and to long-term performance improvement. 26 figs., 2 tabs.

  5. Fast Flux Test Facility Performance Monitoring Management Information August 1989

    SciTech Connect

    Newland, D J

    1989-09-01

    The purpose of this report is to provide management with performance data on key performance indicators selected from the FFTF Early Warning System performance indicators. This report contains the results for key performance indicators divided into two categories of ``overall`` and ``other``. The ``overall`` performance indicators, when considered in the aggregate provide one means of monitoring overall plant performance. Overall performance indicators are listed in Table 1. The ``other`` performance indicators, listed in Table 2, are considered useful management tools for assessing the specific areas they address. The data should be used in conjunction with the results of other management assessment activities to focus improvement efforts. Use of these key performance indicators as a group is stressed, since focusing on a single indicator or a narrow set of indicators can be counterproductive both to safety and to long-term performance improvement. 27 figs., 2 tabs.

  6. Fast Flux Test Facility Performance Monitoring Management Information March 1989

    SciTech Connect

    Newland, D. J.

    1989-04-01

    The purpose of this report is to provide management with performance data on key performance indicators selected from the FFTF Early Warning System performance indicators. This report contains the results for key performance indicators divided into two categories of ``overall`` and ``other.`` The ``overall`` performance indicators, when considered in the aggregate, provide one means of monitoring overall plant performance. The data should be used in conjunction with the results of other management assessment activities to focus improvement efforts. Use of these key performance indicators as a group is stressed, since focusing on a single indicator or a narrow set of indicators can be counterproductive both to safety and to long-term performance improvement. This report must be reviewed with the understanding that both the design and the mission are different for FFTF compared to commercial power reactors.

  7. Monitoring and control requirement definition study for dispersed storage and generation (DSG). Volume I. Final report

    SciTech Connect

    Not Available

    1980-10-01

    Dispersed Storage and Generation (DSG) is the term that characterizes the present and future dispersed, relatively small (<30 MW) energy systems, such as solar thermal electric, photovoltaic, wind, fuel cell, storage battery, hydro, and cogeneration, that can help achieve national energy conservation goals and can be dispersed throughout the distribution portion of an electric utility system. A study of trends reveals that the need for DSG monitoring and control equipment by 1990 to 2000 will be great, measured in tens of thousands. Criteria for assessing DSG integration have been defined and indicate that economic and institutional as well as technical and other factors must be included. The principal emphasis in this report is on the functional requirements for DSG monitoring and control in six major categories. Twenty-four functional requirements have been prepared under these six categories and serve to indicate how to integrate the DSGs with the distribution and other portions of the electric utility system. The results indicate that there are no fundamental technical obstacles to prevent the connection of dispersed storage and generation to the distribution system. However, a communication system of some sophistication will be required to integrate the distribution system and the dispersed generation sources for effective control. The large-size span of generators from 10 kW to 30 MW means that a variety of remote monitoring and control may be required. The results show that an increased effort is required to develop demonstration equipment to perform the DSG monitoring and control functions and to acquire experience with this equipment in the utility distribution environment.

  8. Terms of reference (Mahreb power generation). Export trade information

    SciTech Connect

    Not Available

    1991-12-01

    The Government of Yemen has decided to use the Natural Gas discovered at Mareb for Power Generation by building a new power station plant with an initial installed capacity of 180MW plant utilizing open cycles gas turbines. The purpose of the study is to identify a least cost generation and transmission program (commencing with an initial 180MW open cycle gas turbine station) which will satisfy the forecast power demands of the Republic of Yemen (ROY) at minimum present value capital and operating cost over the period up to 2015 in accordance with agreed technical criteria.

  9. Developing a monitoring protocol for visitor-created informal trails in Yosemite National Park, USA.

    PubMed

    Leung, Yu-Fai; Newburger, Todd; Jones, Marci; Kuhn, Bill; Woiderski, Brittany

    2011-01-01

    Informal trails created or perpetuated by visitors is a management challenge in many protected natural areas such as Yosemite National Park. This is a significant issue as informal trail networks penetrate and proliferate into protected landscapes and habitats, threatening ecological integrity, aesthetics, and visitor experiences. In order to develop effective strategies for addressing this problem under an adaptive management framework, indicators must be developed and monitoring protocol must be established to gather timely and relevant data about the condition, extent, and distribution of these undesired trail segments. This article illustrates a process of developing and evaluating informal trail indicators for meadows in Yosemite Valley. Indicator measures developed in past research were reviewed to identify their appropriateness for the current application. Information gaps in existing indicator measures were addressed by creating two new indices to quantify the degree of informal trailing based on its land fragmentation effects. The selected indicator measures were applied to monitoring data collected between 2006 and 2008. The selected measures and indices were evaluated for their ability to characterize informal trail impacts at site and landscape scales. Results demonstrate the utility of indicator measures in capturing different characteristics of the informal trail problem, though several metrics are strongly related to each other. The two fragmentation indices were able to depict fragmentation without being too sensitive to changes in one constituent parameter. This study points to the need for a multiparameter approach to informal trail monitoring and integration with other monitoring data. Implications for monitoring programs and research are discussed.

  10. Transforming Education by Using a New Generation of Information Systems

    ERIC Educational Resources Information Center

    González-Sancho, Carlos; Vincent-Lancrin, Stéphan

    2016-01-01

    Data use is becoming a prominent strategy for educational innovation and improvement across countries. However, the fragmentation of data collection often hinders the capacity of policymakers, researchers and practitioners to access and analyse the wealth of data routinely generated in educational institutions. A critical step towards realising…

  11. Industry sector analysis, Colombia: Electricity generation equipment. Export trade information

    SciTech Connect

    Not Available

    1993-01-01

    The article is derived from a report titled: The Electrical Generating Equipment Market in Colombia', dated Janaury 1993, prepared by Mario Cediel, American Embassy - Bogota. The article consists of 21 pages and contains the following subtopics: Overview; Statistical Data; Market Assessment; Best Sales Prospects; Competitive Situation; Market Access; and Trade Promotion Opportunities.

  12. Information Theoretic Secret Key Generation: Structured Codes and Tree Packing

    ERIC Educational Resources Information Center

    Nitinawarat, Sirin

    2010-01-01

    This dissertation deals with a multiterminal source model for secret key generation by multiple network terminals with prior and privileged access to a set of correlated signals complemented by public discussion among themselves. Emphasis is placed on a characterization of secret key capacity, i.e., the largest rate of an achievable secret key,…

  13. Monitoring diseases across borders: African regional integrative information systems.

    PubMed

    Simbini, Tungamirirai; Foster, Rosemary; Nesara, Paul; Hullin Lucay Cossio, Carola

    2010-01-01

    In African countries, communicable diseases remain the chief cause of a heavy disease burden. Regional economic, political and social integration bring new challenges in the management of these diseases, many of which are treatable. Information Communication Technology (ICT) applied through electronic health systems has the potential to strengthen healthcare service delivery and disease surveillance within these countries. This paper discusses the importance of well-defined e-Health strategies within countries and, in addition, proposes that countries within regions collaborate in planning for health information exchange across borders. It is suggested that particular attention be paid to technical and data standards enabling interoperability, and also to issues of security, patient privacy and governance.

  14. Information Theoretic Extraction of EEG Features for Monitoring Subject Attention

    NASA Technical Reports Server (NTRS)

    Principe, Jose C.

    2000-01-01

    The goal of this project was to test the applicability of information theoretic learning (feasibility study) to develop new brain computer interfaces (BCI). The difficulty to BCI comes from several aspects: (1) the effective data collection of signals related to cognition; (2) the preprocessing of these signals to extract the relevant information; (3) the pattern recognition methodology to detect reliably the signals related to cognitive states. We only addressed the two last aspects in this research. We started by evaluating an information theoretic measure of distance (Bhattacharyya distance) for BCI performance with good predictive results. We also compared several features to detect the presence of event related desynchronization (ERD) and synchronization (ERS), and concluded that at least for now the bandpass filtering is the best compromise between simplicity and performance. Finally, we implemented several classifiers for temporal - pattern recognition. We found out that the performance of temporal classifiers is superior to static classifiers but not by much. We conclude by stating that the future of BCI should be found in alternate approaches to sense, collect and process the signals created by populations of neurons. Towards this goal, cross-disciplinary teams of neuroscientists and engineers should be funded to approach BCIs from a much more principled view point.

  15. Software Development With Application Generators: The Naval Aviation Logistics Command Management Information System Case

    DTIC Science & Technology

    1992-09-01

    Aviation Logistics Command Management Information System (NALCOMIS) prototyping development effort, the critical success factors required to implement prototyping with application generators in other areas of DoD.

  16. Operationalizing crop monitoring system for informed decision making related to food security in Nepal

    NASA Astrophysics Data System (ADS)

    Qamer, F. M.; Shah, S. N. Pd.; Murthy, M. S. R.; Baidar, T.; Dhonju, K.; Hari, B. G.

    2014-11-01

    In Nepal, two thirds of the total population depend on agriculture for their livelihoods and more than one third of Gross Domestic Product (GDP) comes from the agriculture sector. However, effective agriculture production across the country remains a serious challenge due to various factors, such as a high degree of spatial and temporal climate variability, irrigated and rain-fed agriculture systems, farmers' fragile social and economic fabric, and unique mountain practices. ICIMOD through SERVIR-Himalaya initiative with collaboration of Ministry of Agricultural Development (MoAD) is working on developing a comprehensive crop monitoring system which aims to provide timely information on crop growth and drought development conditions. This system analyzes historical climate and crop conditions patterns and compares this data with the current growing season to provide timely assessment of crop growth. Using remote sensing data for vegetation indices, temperature and rainfall, the system generated anomaly maps are inferred to predict the increase or shortfall in production. Comparisons can be made both spatially and in graphs and figures at district and Village Developmental Committee (VDC) levels. Timely information on possible anomaly in crop production is later used by the institutions like Ministry of Agricultural Development, Nepal and World Food Programme, Nepal to trigger appropriate management response. Future potential includes integrating data on agricultural inputs, socioeconomics, demographics, and transportation to holistically assess food security in the region served by SERVIR-Himalaya.

  17. The Human ‘Treg MLR’: Immune Monitoring for Foxp3+ T Regulatory Cell Generation

    PubMed Central

    Levitsky, Josh; Miller, Joshua; Leventhal, Joseph; Huang, Xuemei; Flaa, Cathy; Wang, Edward; Tambur, Anat; Burt, Richard K.; Gallon, Lorenzo; Mathew, James M.

    2009-01-01

    Background Controversy exists about the conditions effecting the development of FOXP3 expressing T cells and their relevance in transplant recipients. Methods We generated CFSE-labeled CD4+CD25highFOXP3+ cells in MLRs (‘the Treg MLR’), with varying HLA disparities and cell components. Five color flow cytometry and 3H TdR uptakes were the readouts. Results 1) Despite lower Stimulation Indices (SI) than 2 DR-mismatched MLRs, 2 DR-matched MLRs generated >2 fold higher percentages when gating on proliferating CD4+CD25highFOXP3+ cells; 2) Even with low numbers of proliferating cells, autologous and HLA identical MLRs generated the highest FOXP3+ : FOXP3- cell ratios; 3) Elimination of either non-CD3+ responding cells (resulting in ‘direct presentation’ only) or responding CD25+ (Treg generating) cells increased the SI but inhibited proliferating CD4+CD25HighFOXP3+ cell development; 4) MLR-generated CD4+CD25HighFOXP3+ cells added as third components specifically inhibited the same freshly set MLR SI and caused recruitment of new CD4+CD25HighFOXP3+ cells. As an example of the ‘Treg MLR’ immune monitoring potential, addition of third component PBMC containing high percentages of CD4+CD25highFOXP3+ cells from an HLA identical kidney transplant recipient (in a tolerance protocol) caused donor-specific Treg MLR inhibition/recruitment. This was similar to the third component MLR Tregs generated entirely in vitro. Conclusion In the ‘Treg MLR’, the generation of CD4+CD25High FOXP3+ cells is more pronounced in the context of self-recognition (HLA matching, indirect presentation). These cells can be assayed for MLR inhibitory and Treg recruitment functions, so as to immunologically monitor allo-specific regulation after transplantation. PMID:19996930

  18. Next Generation * Natural Gas (NG)2 Information Requirements--Executive Summary

    EIA Publications

    2000-01-01

    The Energy Information Administration (EIA) has initiated the Next Generation * Natural Gas (NG)2 project to design and implement a new and comprehensive information program for natural gas to meet customer requirements in the post-2000 time frame.

  19. Fast Flux Test Facility performance monitoring management information, October 1988

    SciTech Connect

    Newland, D J

    1988-11-01

    The purpose of this report is to provide management with performance data on key performance indicators selected from the FFTF Early Warning System performance indicators. This report contains the results for key performance indicators divided into two categories of ``overall`` and ``other``. The ``overall`` performance indicators, when considered in the aggregate, provide one means of monitoring overall plant performance. Overall performance indicators are listed in Table 1. The ``other`` performance indicators, listed in Table 2, are considered useful management tools for assessing the specific areas they address. The data should be used in conjunction with the the results of other management assessment activities to focus improvement efforts. Use of these key performance indicators as a group is stressed, since focusing on a single indicator or a narrow set of indicators can be counterproductive both to safety and to long-term performance improvement. Any concerns regarding the accuracy or analysis of the specific indicator should be addressed to the responsible manager identified on the figure. This report must be reviewed with the understanding that both the design and the mission are different for FFTF compared to commercial power reactors. 26 figs.

  20. The Utility of the Real-Time NASA Land Information System Data for Drought Monitoring Applications

    NASA Technical Reports Server (NTRS)

    White, Kristopher D.; Case, Jonathan L.

    2013-01-01

    Measurements of soil moisture are a crucial component for the proper monitoring of drought conditions. The large spatial variability of soil moisture complicates the problem. Unfortunately, in situ soil moisture observing networks typically consist of sparse point observations, and conventional numerical model analyses of soil moisture used to diagnose drought are of coarse spatial resolution. Decision support systems such as the U.S. Drought Monitor contain drought impact resolution on sub-county scales, which may not be supported by the existing soil moisture networks or analyses. The NASA Land Information System, which is run with 3 km grid spacing over the eastern United States, has demonstrated utility for monitoring soil moisture. Some of the more useful output fields from the Land Information System are volumetric soil moisture in the 0-10 cm and 40-100 cm layers, column-integrated relative soil moisture, and the real-time green vegetation fraction derived from MODIS (Moderate Resolution Imaging Spectroradiometer) swath data that are run within the Land Information System in place of the monthly climatological vegetation fraction. While these and other variables have primarily been used in local weather models and other operational forecasting applications at National Weather Service offices, the use of the Land Information System for drought monitoring has demonstrated utility for feedback to the Drought Monitor. Output from the Land Information System is currently being used at NWS Huntsville to assess soil moisture, and to provide input to the Drought Monitor. Since feedback to the Drought Monitor takes place on a weekly basis, weekly difference plots of column-integrated relative soil moisture are being produced by the NASA Short-term Prediction Research and Transition Center and analyzed to facilitate the process. In addition to the Drought Monitor, these data are used to assess drought conditions for monthly feedback to the Alabama Drought Monitoring

  1. Monitoring the integration of hospital information systems: How it may ensure and improve the quality of data.

    PubMed

    Cruz-Correia, Ricardo; Vieira-Marques, Pedro; Ferreira, Ana; Oliveira-Palhares, Ernesto; Costa, Pedro; Costa-Pereira, Altamiro

    2006-01-01

    Integration of hospital departmental information systems (HDIS) has become a common but difficult issue. In May 2003, the Department of Biostatistics and Medical Informatics implemented a Virtual Electronic Patient Record (VEPR) for the Hospital S. João (HSJ), a university hospital with over 1350 beds. The system integrates clinical data from 10 legacy HDIS plus the Hospital Administrative Database (HAD), aiming to deliver all patient information to health professionals. Currently, around 500 medical doctors use the system on a regular basis and the HSJ-VEPR retrieves an average of 3,000 new reports per day, in PDF or HTML formats. This paper describes and discusses the role of monitoring in the assurance and improvement of data quality. Three approaches were put in place: (a) monitoring the HSJ-VEPR concerning the frequency of clinical records retrieved from the DIS by checking if the daily number of reports sent by the HDIS fell in the normal range from similar week days; (b) monitoring inconsistencies in the patient's identification by cross-checking between HDIS and HAD; and (c) monitoring the integrity of clinical records delivered to medical doctors through the HSJ-VEPR by checking their digital signature. During 2005, the monitoring system detected 53 unusual frequency patterns of which 44 corresponded to real problems. Over a 6 months period, more than 400 alerts were generated concerning inconsistencies in the patient's identification found in laboratory reports. Nevertheless, a significant reduction in the number of these inconsistencies occurred - from 116 in July to 10 in December 2005--due to implementation of preventive measures by the DIS. Finally, report's integrity was checked each time the report was asked to be visualized i.e. in more than one hundred thousand times during a one year period. In conclusion, all information available in hospital information systems can and should be used to trigger alerts of malfunctions and inconsistencies, in

  2. Satellite, environmental, and medical information applied to epidemiological monitoring

    NASA Technical Reports Server (NTRS)

    Roberts, Donald R.; Legters, Llewellyn J.

    1991-01-01

    Improved communications and space-science technologies, such as remote sensing, offer hope of new, more holistic approaches to combating many arthropod-borne disease problems. The promise offered by these technologies has surfaced at a time when global and national efforts at disease control are in decline. Indeed, these programs seem to be losing ground against the arthropod-borne diseases just as rapidly as we seem to be moving forward in technological development. Given these circumstances, we can only hope that remote sensing and geographic information system (GIS) technologies can be pressed into service to help target the temporal and spatial application of control measures and to help in developing new control strategies.

  3. Analyzing Effects of Turbulence on Power Generation Using Wind Plant Monitoring Data: Preprint

    SciTech Connect

    Zhang, J.; Chowdhury, S.; Hodge, B. M.

    2014-01-01

    In this paper, a methodology is developed to analyze how ambient and wake turbulence affects the power generation of a single wind turbine within an array of turbines. Using monitoring data from a wind power plant, we selected two sets of wind and power data for turbines on the edge of the wind plant that resemble (i) an out-of-wake scenario (i.e., when the turbine directly faces incoming winds) and (ii) an in-wake scenario (i.e., when the turbine is under the wake of other turbines). For each set of data, two surrogate models were then developed to represent the turbine power generation (i) as a function of the wind speed; and (ii) as a function of the wind speed and turbulence intensity. Support vector regression was adopted for the development of the surrogate models. Three types of uncertainties in the turbine power generation were also investigated: (i) the uncertainty in power generation with respect to the published/reported power curve, (ii) the uncertainty in power generation with respect to the estimated power response that accounts for only mean wind speed; and (iii) the uncertainty in power generation with respect to the estimated power response that accounts for both mean wind speed and turbulence intensity. Results show that (i) under the same wind conditions, the turbine generates different power between the in-wake and out-of-wake scenarios, (ii) a turbine generally produces more power under the in-wake scenario than under the out-of-wake scenario, (iii) the power generation is sensitive to turbulence intensity even when the wind speed is greater than the turbine rated speed, and (iv) there is relatively more uncertainty in the power generation under the in-wake scenario than under the out-of-wake scenario.

  4. Studying the information content of TMDs using Monte Carlo generators

    SciTech Connect

    Avakian, H.; Matevosyan, H.; Pasquini, B.; Schweitzer, P.

    2015-02-05

    Theoretical advances in studies of the nucleon structure have been spurred by recent measurements of spin and/or azimuthal asymmetries worldwide. One of the main challenges still remaining is the extraction of the parton distribution functions, generalized to describe transverse momentum and spatial distributions of partons from these observables with no or minimal model dependence. In this topical review we present the latest developments in the field with emphasis on requirements for Monte Carlo event generators, indispensable for studies of the complex 3D nucleon structure, and discuss examples of possible applications.

  5. Fast Flux Test Facility Performance Monitoring Management Information May 1989

    SciTech Connect

    Newland, D J

    1989-06-01

    The plant was started up for the P11A-1 Operating Cycle on May 3, 1989, one and one half days late due to problems with the D-14 ZTO motor generator. The plant was shut down May 16 to install the Multi-Isotope Production (MIP) experiment cluster. The subsequent startup on May 21 for the P11A-2 Operating Cycle went very well. In general, Overall Performance Indicators showed excellent plant performance. There were no unplanned automatic scrams, forced outages, unusual occurrence reports or recordable injuries. The corrective maintenance backlog greater than three months old increased slightly during May due to a decrease in the total number of corrective maintenance items and the concentration of Engineering resources needed to support timely insertion of the Fusion MOTA in the reactor. Among the Other Performance Indicators, FFTF direct staffing and total Operations staffing have increased slightly, bringing them closer to authorized staffing levels. The protective maintenance backlog recovered from last month`s increase, dropping to a post-outage record low of 1.20%. By month`s end, the value was reduced further to 1.15% (goal <1.2%). All other indicators are satisfactory.

  6. Secure authentication system that generates seed from biometric information

    NASA Astrophysics Data System (ADS)

    Kim, Yeojin; Ahn, Jung-Ho; Byun, Hyeran

    2005-02-01

    As biometric recognition techniques are gradually improved, the stability of biometric authentication systems are enhanced. Although bioinformation has properties that make it resistant to fraud, biometric authentication systems are not immune to hacking. We show a secure biometric authentication system (1) to guarantee the integrity of biometric information by mixing data by use of a biometric key and (2) to raise recognition rates by use of bimodal biometrics.

  7. Secure authentication system that generates seed from biometric information.

    PubMed

    Kim, Yeojin; Ahn, Jung-Ho; Byun, Hyeran

    2005-02-10

    As biometric recognition techniques are gradually improved, the stability of biometric authentication systems are enhanced. Although bioinformation has properties that make it resistant to fraud, biometric authentication systems are not immune to hacking. We show a secure biometric authentication system (1) to guarantee the integrity of biometric information by mixing data by use of a biometric key and (2) to raise recognition rates by use of bimodal biometrics.

  8. Automated Generation of Tabular Equations of State with Uncertainty Information

    NASA Astrophysics Data System (ADS)

    Carpenter, John H.; Robinson, Allen C.; Debusschere, Bert J.; Mattsson, Ann E.

    2015-06-01

    As computational science pushes toward higher fidelity prediction, understanding the uncertainty associated with closure models, such as the equation of state (EOS), has become a key focus. Traditional EOS development often involves a fair amount of art, where expert modelers may appear as magicians, providing what is felt to be the closest possible representation of the truth. Automation of the development process gives a means by which one may demystify the art of EOS, while simultaneously obtaining uncertainty information in a manner that is both quantifiable and reproducible. We describe our progress on the implementation of such a system to provide tabular EOS tables with uncertainty information to hydrocodes. Key challenges include encoding the artistic expert opinion into an algorithmic form and preserving the analytic models and uncertainty information in a manner that is both accurate and computationally efficient. Results are demonstrated on a multi-phase aluminum model. *Sandia National Laboratories is a multi-program laboratory managed and operated by Sandia Corporation, a wholly owned subsidiary of Lockheed Martin Corporation, for the U.S. Department of Energy's National Nuclear Security Administration under contract DE-AC04-94AL85000.

  9. PRO*CAST: Providing Timely Information to Monitor Progress Toward University Goals.

    ERIC Educational Resources Information Center

    Jackson, Tad; And Others

    1995-01-01

    In the University of Massachusetts' multicampus system, an integrated suite of technologies called PRO*CAST provides administrators, planners, and policymakers with access to timely, accurate information to support decision making and monitor progress toward established goals. The system is structured as an information warehouse with executive…

  10. 75 FR 52711 - Notice of Request for Approval of an Information Collection; National Animal Health Monitoring...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2010-08-27

    ...; National Animal Health Monitoring System; Sheep 2011 Study AGENCY: Animal and Plant Health Inspection... Sheep 2011 Study. DATES: We will consider all comments that we receive on or before October 26, 2010... INFORMATION CONTACT: For information on the Sheep 2011 Study, contact Ms. Sandra Warnken, Management...

  11. Watershed Scale Monitoring and Modeling of Natural Organic Matter (NOM) Generation and Transport

    NASA Astrophysics Data System (ADS)

    Adams, R.; Rees, P. L.; Reckhow, D. A.; Castellon, C. M.

    2006-05-01

    This study describes a coupled watershed scale monitoring campaign, laboratory study, and hydrological modeling study which has been focused on determining the sources and transport mechanisms for Natural Organic Matter (NOM), in a small, mostly forested New England watershed. For some time, the state conservation authorities and a large metropolitan water authority have been concerned that the level of naturally-occurring disinfection byproducts in drinking water supplied by a large surface water reservoir (Watchusett Reservoir, MA) have been increasing over time. The resulting study has attempted to investigate how these compounds, which are mostly formed by the chlorination process at the water treatment plant, are related to NOM precursor compounds which are generated from organic matter and transported by runoff processes in the watershed of the Watchusett Reservoir. The laboratory study measures disinfection byproduct formation potential (DBPFP) through chlorination of raw water samples obtained through field monitoring. Samples are analysed for trihalomethanes (THMs), and haloacetic acids (HAAs). Samples are also analysed for dissolved organic carbon (DOC) and ultraviolet absorbance at 254 nm (UV254). The samples have been collected from as many components of the hydrological cycle as possible in one of the subcatchments of Watchusett Reservoir (Stillwater River). To date the samples include, stream runoff, water impounded naturally in small ponds by beaver dams, rainfall, snow, throughfall (drainage from tree canopies) and samples pumped from shallow suction lysimeters which were installed to monitor soil water in the riparian zone. The current monitoring program began in late-Summer 2005, however infrequent stream samples are available dating back to 2000 from an earlier research project and water quality monitoring by various regulatory authorities. The monitoring program has been designed to capture as much seasonal variation in water chemistry as

  12. Generating and Synthesizing Information about Risks in Unconventional Oil and Gas Development

    NASA Astrophysics Data System (ADS)

    Wiseman, H.

    2013-12-01

    site construction and disclosure of all chemicals used at the well site. Governments should also consider requiring air emissions (including methane) monitoring near well sites. Regardless of who conducts monitoring and testing, states and the federal government should agree on the parameters that would be tested for in all water and air quality samples, and they should require reporting in the same units to allow for cross-state comparison. Finally, we must synthesize data produced by industry or states and organize and summarize it in a manner that is understandable to scientists and non-scientists alike. The risks of unconventional oil and gas development are perhaps most easily understood when organized by the stage of well development, and for each stage, specific risks could be identified. The federal government is, once again, the most likely candidate to produce and synthesize this information. Although nonprofit groups, industry actors, and state government could also aid in this task, certain stakeholders might question whether these entities' motives influenced data summaries. Generating and synthesizing information about the technologies and risks involved in unconventional oil and gas development will not be easy, or cheap. But it will be important if we are to sail forward rapidly through waters that no other country has charted.

  13. Temporal variability of the optimal monitoring setup assessed using information theory

    NASA Astrophysics Data System (ADS)

    Fahle, Marcus; Hohenbrink, Tobias L.; Dietrich, Ottfried; Lischeid, Gunnar

    2015-09-01

    Hydrology is rich in methods that use information theory to evaluate monitoring networks. Yet in most existing studies, only the available data set as a whole is used, which neglects the intraannual variability of the hydrological system. In this paper, we demonstrate how this variability can be considered by extending monitoring evaluation to subsets of the available data. Therefore, we separately evaluated time windows of fixed length, which were shifted through the data set, and successively extended time windows. We used basic information theory measures and a greedy ranking algorithm based on the criterion of maximum information/minimum redundancy. The network investigated monitored surface and groundwater levels at quarter-hourly intervals and was located at an artificially drained lowland site in the Spreewald region in north-east Germany. The results revealed that some of the monitoring stations were of value permanently while others were needed only temporally. The prevailing meteorological conditions, particularly the amount of precipitation, affected the degree of similarity between the water levels measured. The hydrological system tended to act more individually during periods of no or little rainfall. The optimal monitoring setup, its stability, and the monitoring effort necessary were influenced by the meteorological forcing. Altogether, the methodology presented can help achieve a monitoring network design that has a more even performance or covers the conditions of interest (e.g., floods or droughts) best.

  14. Information Extraction and Dependency on Open Government Data (ogd) for Environmental Monitoring

    NASA Astrophysics Data System (ADS)

    Abdulmuttalib, Hussein

    2016-06-01

    Environmental monitoring practices support decision makers of different government / private institutions, besides environmentalists and planners among others. This support helps them act towards the sustainability of our environment, and also take efficient measures for protecting human beings in general, but it is difficult to explore useful information from 'OGD' and assure its quality for the purpose. On the other hand, Monitoring itself comprises detecting changes as happens, or within the mitigation period range, which means that any source of data, that is to be used for monitoring, should replicate the information related to the period of environmental monitoring, or otherwise it's considered almost useless or history. In this paper the assessment of information extraction and structuring from Open Government Data 'OGD', that can be useful to environmental monitoring is performed, looking into availability, usefulness to environmental monitoring of a certain type, checking its repetition period and dependences. The particular assessment is being performed on a small sample selected from OGD, bearing in mind the type of the environmental change monitored, such as the increase and concentrations of built up areas, and reduction of green areas, or monitoring the change of temperature in a specific area. The World Bank mentioned in its blog that Data is open if it satisfies both conditions of, being technically open, and legally open. The use of Open Data thus, is regulated by published terms of use, or an agreement which implies some conditions without violating the above mentioned two conditions. Within the scope of the paper I wish to share the experience of using some OGD for supporting an environmental monitoring work, that is performed to mitigate the production of carbon dioxide, by regulating energy consumption, and by properly designing the test area's landscapes, thus using Geodesign tactics, meanwhile wish to add to the results achieved by many

  15. A mobile multi-agent information system for ubiquitous fetal monitoring.

    PubMed

    Su, Chuan-Jun; Chu, Ta-Wei

    2014-01-02

    Electronic fetal monitoring (EFM) systems integrate many previously separate clinical activities related to fetal monitoring. Promoting the use of ubiquitous fetal monitoring services with real time status assessments requires a robust information platform equipped with an automatic diagnosis engine. This paper presents the design and development of a mobile multi-agent platform-based open information systems (IMAIS) with an automated diagnosis engine to support intensive and distributed ubiquitous fetal monitoring. The automatic diagnosis engine that we developed is capable of analyzing data in both traditional paper-based and digital formats. Issues related to interoperability, scalability, and openness in heterogeneous e-health environments are addressed through the adoption of a FIPA2000 standard compliant agent development platform-the Java Agent Development Environment (JADE). Integrating the IMAIS with light-weight, portable fetal monitor devices allows for continuous long-term monitoring without interfering with a patient's everyday activities and without restricting her mobility. The system architecture can be also applied to vast monitoring scenarios such as elder care and vital sign monitoring.

  16. A Mobile Multi-Agent Information System for Ubiquitous Fetal Monitoring

    PubMed Central

    Su, Chuan-Jun; Chu, Ta-Wei

    2014-01-01

    Electronic fetal monitoring (EFM) systems integrate many previously separate clinical activities related to fetal monitoring. Promoting the use of ubiquitous fetal monitoring services with real time status assessments requires a robust information platform equipped with an automatic diagnosis engine. This paper presents the design and development of a mobile multi-agent platform-based open information systems (IMAIS) with an automated diagnosis engine to support intensive and distributed ubiquitous fetal monitoring. The automatic diagnosis engine that we developed is capable of analyzing data in both traditional paper-based and digital formats. Issues related to interoperability, scalability, and openness in heterogeneous e-health environments are addressed through the adoption of a FIPA2000 standard compliant agent development platform—the Java Agent Development Environment (JADE). Integrating the IMAIS with light-weight, portable fetal monitor devices allows for continuous long-term monitoring without interfering with a patient’s everyday activities and without restricting her mobility. The system architecture can be also applied to vast monitoring scenarios such as elder care and vital sign monitoring. PMID:24452256

  17. Designing the Monitoring of Water-Related Sustainable Development Goals Based on Value of Information

    NASA Astrophysics Data System (ADS)

    Chen, R. S.; Levy, M. A.; de Sherbinin, A. M.; Fischer, A.

    2015-12-01

    The proposed Sustainable Development Goals (SDGs) represent an unprecedented international commitment to collective action and targeted interventions at global, regional, and national scales. Existing monitoring and data infrastructures are inadequate for producing the variety of environmental and socioeconomic information needed to ensure efficient and effective outcomes across the range of interlinked SDGs and targets. The scientific community needs to take a lead in developing new tools and approaches that, at reasonable cost, provide monitoring data of sufficient quality and spatial and temporal coverage to support informed decision making by diverse stakeholders. The expanded SDGs related to water offer the opportunity to explore potential new monitoring approaches and data system architectures in a key sector, building on existing water monitoring capabilities and incorporating new technologies and methods. Since additional investments in monitoring will undoubtedly be limited, it is important to assess carefully the value of information produced by different options and their associated risks and tradeoffs. We review here the existing set of water monitoring systems, known gaps and limitations, stakeholder inputs on data needs, and the potential value of information in light of alternative water sector interventions. Of particular interest are opportunities to share investments in monitoring across sectors and stakeholders (e.g., public and private entities) and to identify where incremental improvements in water monitoring could have significant benefits for other SDGs (e.g., related to health, energy, agriculture, and climate change). Value of information is also driven by the numbers of people affected by decisions or able to take advantage of improved data, which implies the need not only to collect and archive data, but also to invest in making data accessible and usable to diverse and geographically dispersed users.

  18. Implementation of a Data Packet Generator Using Pattern Matching for Wearable ECG Monitoring Systems

    PubMed Central

    Noh, Yun Hong; Jeong, Do Un

    2014-01-01

    In this paper, a packet generator using a pattern matching algorithm for real-time abnormal heartbeat detection is proposed. The packet generator creates a very small data packet which conveys sufficient crucial information for health condition analysis. The data packet envelopes real time ECG signals and transmits them to a smartphone via Bluetooth. An Android application was developed specifically to decode the packet and extract ECG information for health condition analysis. Several graphical presentations are displayed and shown on the smartphone. We evaluate the performance of abnormal heartbeat detection accuracy using the MIT/BIH Arrhythmia Database and real time experiments. The experimental result confirm our finding that abnormal heart beat detection is practically possible. We also performed data compression ratio and signal restoration performance evaluations to establish the usefulness of the proposed packet generator and the results were excellent. PMID:25029280

  19. Self-generation and positivity effects following transcranial random noise stimulation in medial prefrontal cortex: A reality monitoring task in older adults.

    PubMed

    Mammarella, Nicola; Di Domenico, Alberto; Palumbo, Rocco; Fairfield, Beth

    2016-11-15

    Activation of medial Prefrontal Cortex (mPFC) has been typically found during reality monitoring tasks (i.e., distinguishing between internal self-generated vs external information). No study, however, has yet investigated whether transcranial Random Noise Stimulation (tRNS) over the mPFC leads to a reduction in reality-monitoring misattributions in aging. In particular, stimulating mPFC should increase the number of cognitive operations engaged while encoding and this distinctive information may help older adults to discriminate between internal and external sources better. In addition, given that older adults are more sensitive to positively-charged information compared to younger adults and that mPFC is typically recruited during encoding of positive stimuli with reference to themselves, activation of mPFC should further sustain source retrieval in older adults. In this double-blind, sham-controlled study, we examined whether tRNS over the mPFC of healthy younger and older adults during encoding enhances subsequent reality monitoring for seen versus imagined emotionally-charged words. Our findings show that tRNS enhances reality monitoring for positively-charged imagined words in the older adult group alone, highlighting the role that mPFC plays in their memory for positive information. In line with the control-based account of positivity effects, our results add evidence about the neurocognitive processes involved in reality monitoring when older adults face emotionally-charged events.

  20. Monitoring Foreign Students in the United States: The Student and Exchange Visitor Information System (SEVIS)

    DTIC Science & Technology

    2005-01-14

    Students in the United States: The Student and Exchange Visitor Information System ( SEVIS ) Updated January 14, 2005 Alison Siskin Analyst in Social...Students in the United States: The Student and Exchange Visitor Information System ( SEVIS ) 5a. CONTRACT NUMBER 5b. GRANT NUMBER 5c. PROGRAM ELEMENT...Visitor Information System ( SEVIS ) Summary There has been increased interest in monitoring foreign students while maintaining the long tradition of

  1. Mapping the information landscape: Discerning peaks and valleys for ecological monitoring

    USGS Publications Warehouse

    Moniz, L.J.; Nichols, J.D.; Nichols, J.M.

    2007-01-01

    We investigate previously unreported phenomena that have a potentially significant impact on the design of surveillance monitoring programs for ecological systems. Ecological monitoring practitioners have long recognized that different species are differentially informative of a system?s dynamics, as codified in the well-known concepts of indicator or keystone species. Using a novel combination of analysis techniques from nonlinear dynamics, we describe marked variation among spatial sites in information content with respect to system dynamics in the entire region. We first observed these phenomena in a spatially extended predator?prey model, but we observed strikingly similar features in verified water-level data from a NOAA/NOS Great Lakes monitoring program. We suggest that these features may be widespread and the design of surveillance monitoring programs should reflect knowledge of their existence.

  2. Next stop, implementation: collaborative monitoring to inform adaptive policy-making and implementation

    NASA Astrophysics Data System (ADS)

    Hermans, L. M.; Haasnoot, M.; Kwakkel, J. H.

    2014-09-01

    Dynamic Adaptive Policy Pathways has been developed as an approach to deal with deep uncertainties and support robust decision-making for long-term planning. Given the unpredictable and uncertain futures, implementation of the resulting adaptive policies needs to be informed by regular monitoring. However, monitoring implementation in practice is complicated by the need to coordinate activities and share information among multiple actors. Here we present a first outline for an approach to organise collaborative monitoring to support adaptive implementation of long-term water policies. The analytical basis rests on an extension of Dynamic Adaptive Policy Pathways with actor analysis principles. Monitoring is to be organised around adaptation tipping points, for which a set of questions needs to be addressed that put societal actors central. Examples from two water management cases in the Netherlands suggest the usefulness of this approach.

  3. Monitoring applications of power generators for the increase of energy efficiency using novel fiber optical sensors

    NASA Astrophysics Data System (ADS)

    Villnow, Michael; Willsch, Michael; Bosselmann, Thomas; Schmauss, Bernhard

    2011-05-01

    To verify optimization measures of power generators to improve the energy efficiency and to monitor critical parameters, fiber optical sensors have been developed and investigated. A fiber optical hot wire anemometer based on the thermooptic effect of Fiber Bragg Gratings was investigated to measure the flow distribution along the stator core. Fiber optical magnetic field sensors, based on the strain-optic effect of FBGs, were used to measure the magnetic field distribution on the end windings of a power generator. A novel fiber-optical accelerometer was used to measure the end winding vibrations. In this paper the functionality of each sensor is described and results of field test under real conditions are shown and discussed.

  4. Information processing requirements for on-board monitoring of automatic landing

    NASA Technical Reports Server (NTRS)

    Sorensen, J. A.; Karmarkar, J. S.

    1977-01-01

    A systematic procedure is presented for determining the information processing requirements for on-board monitoring of automatic landing systems. The monitoring system detects landing anomalies through use of appropriate statistical tests. The time-to-correct aircraft perturbations is determined from covariance analyses using a sequence of suitable aircraft/autoland/pilot models. The covariance results are used to establish landing safety and a fault recovery operating envelope via an event outcome tree. This procedure is demonstrated with examples using the NASA Terminal Configured Vehicle (B-737 aircraft). The procedure can also be used to define decision height, assess monitoring implementation requirements, and evaluate alternate autoland configurations.

  5. Demonstration of a vapor density monitoring system using UV radiation generated from quasi-phasematched SHG waveguide devices

    SciTech Connect

    Galanti, S.A.; Berzins, L.V.; Brown, J.B.; Tamosaitis, R.S.; Bortz, M.L.; Day, T.; Fejer, M.M.; Wang, W.

    1996-01-29

    Many industrial applications require non-intrusive diagnostics for process monitoring and control. One example is the physical vapor deposition of titanium alloys. In this paper we present a system based on laser absorption spectroscopy for monitoring titanium vapor. Appropriate transitions for monitoring high rate vaporization of titanium require extension of available IR diode technology to the UV. The heart of this vapor density monitoring system is the 390nm radiation generated from quasi-phase matched interactions within periodically poled waveguides. In this paper, key system components of a UV laser absorption spectroscopy based system specific for titanium density monitoring are described. Analysis is presented showing the minimum power levels necessary from the ultraviolet laser source. Performance data for prototype systems using second harmonic generation (SHG) waveguide technology is presented. Application of this technology to other alloy density monitoring systems is discussed.

  6. Design and analysis of environmental information monitoring system based on ZigBee technology

    NASA Astrophysics Data System (ADS)

    Liu, Kenan; Zhou, Bing; Yang, Qiliang; Guo, Hao; Ge, Zhenyang

    Farm field data information timely access is an important foundation of the modern precise management. A environmental information monitoring system was proposed based on Zigbee wireless sensor networks and field characteristics of environmental monitoring data information in this paper. The data acquisition by the sensor nodes of the monitoring regional, and a wireless network was constitute by multiple sensor node and network structure using a star topology, network coordinator is responsible for data collection and complete on-site data collection, processing, transmission and storage by RS232 interface connecting to a PC-side data management center. Practical application shows: the system has basically reached the design requirements provided some advantages with data transmission reliability and performance stability.

  7. A Study of the Information Search Behaviour of the Millennial Generation

    ERIC Educational Resources Information Center

    Taylor, Arthur

    2012-01-01

    Introduction: Members of the millennial generation (born after 1982) have come of age in a society infused with technology and information. It is unclear how they determine the validity of information gathered, or whether or not validity is even a concern. Previous information search models based on mediated searches with different age groups may…

  8. Elimination of redundant thermoluminescent dosemeter monitoring at Oyster Creek nuclear generating station

    SciTech Connect

    Schwartz, P.E.

    1989-01-01

    The Oyster Creek direct radiation monitoring network has long been operating using several time-scale measurements. This network is used to assess the radiation levels during normal plant operations as well as to set the background radiation levels used to determine the radiological impact of a nonroutine release of radioactivity from the plant. Through analysis of the behavior of the monthly and quarterly activity of several types of direct radiation monitoring, the successful elimination of redundant and artificially high measurement techniques has been done in concert with providing the community with most efficient direct radiation monitoring methods. Dose rates from external radiation sources are measured around licensed U.S. Nuclear Regulatory Commission (NRC) facilities using passive detectors known as thermoluminescent dosimeters (TLDs). These detectors provide a quantitative measurement of the radiation levels in the are in which they are placed. The detected radiation could be the result of cosmic or naturally occurring origin in the air and on the ground, prior nuclear weapons testing, and activity from a nuclear facility. This paper describes the TLD network placed around the Oyster Creek nuclear generating station (OCNGS) and the comparisons between TLDs of different manufacturers and of different resident times and the successful elimination of the less accurate monthly TLD for the purpose of cost containment.

  9. Development and investigation of MOEMS type displacement-pressure sensor for biological information monitoring

    NASA Astrophysics Data System (ADS)

    Ostasevicius, Vytautas; Malinauskas, Karolis; Janusas, Giedrius; Palevicius, Arvydas; Cekas, Elingas

    2016-04-01

    The aim of this paper is to develop and investigate MOEMS displacement-pressure sensor for biological information monitoring. Developing computational periodical microstructure models using COMSOL Multiphysics modeling software for modal and shape analysis and implementation of these results for design MOEMS displacement-pressure sensor for biological information monitoring was performed. The micro manufacturing technology of periodical microstructure having good diffraction efficiency was proposed. Experimental setup for characterisation of optical properties of periodical microstructure used for design of displacement-pressure sensor was created. Pulsating human artery dynamic characteristics in this paper were analysed.

  10. Liquid Effluent Monitoring Information System test plans release 1.2

    SciTech Connect

    Adams, R.T.

    1994-10-11

    The Liquid Effluent Monitoring Information System (LEMIS) is being developed as the organized information repository facility in support of the liquid effluent monitoring requirements of the Tri-Party Agreement. It is necessary to provide an automated repository into which the results from liquid effluent sampling will be placed. This repository must provide for effective retention, review, and retrieval of selected sample data by authorized persons and organizations. This System Architecture document is the aggregation of the DMR P+ methodology project management deliverables. Together they represent a description of the project and its plan through four Releases, corresponding to the definition and prioritization of requirements defined by the user.

  11. Liquid Effluent Monitoring Information System (LEMIS) test plans release 1.1

    SciTech Connect

    Adams, R.T.

    1994-09-08

    The Liquid Effluent Monitoring Information System (LEMIS) is being developed as the organized information repository facility in support of the liquid effluent monitoring requirements of the Tri-Party Agreement. It is necessary to provide an automated repository into which the results from liquid effluent sampling will be placed. This repository must provide for effective retention, review, and retrieval of selected sample data by authorized persons and organizations. This System Architecture document is the aggregation of the DMR P+ methodology project management deliverables. Together they represent a description of the project and its plan through four Releases, corresponding to the definition and prioritization of requirements defined by the user.

  12. Liquid Effluent Monitoring Information System (LEMIS) test plans release 1.0

    SciTech Connect

    Adams, R.T.

    1994-10-12

    The Liquid Effluent Monitoring Information System (LEMIS) is being developed as the organized information repository facility in support of the liquid effluent monitoring requirements of the Tri-Party Agreement. It is necessary to provide an automated repository into which the results from liquid effluent sampling will be placed. This repository must provide for effective retention, review, and retrieval of selected sample data by authorized persons and organizations. This System Architecture document is the aggregation of the DMR P+ methodology project management deliverables. Together they represent a description of the project and its plan through four Releases, corresponding to the definition and prioritization of requirements defined by the user.

  13. Liquid Effluent Monitoring Information System test plans releases 2.0 and 3.0

    SciTech Connect

    Guettler, D.A.

    1995-05-26

    The Liquid Effluent Monitoring Information System (LEMIS) is being developed as the organized information repository facility in support of the liquid effluent monitoring requirements of the Tri-Party Agreement. It is necessary to provide an automated repository into which the results from liquid effluent sampling will be placed. This repository must provide for effective retention, review, and retrieval of selected sample data by authorized persons and organizations. This System Architecture document is the aggregation of the DMR P+ methodology project management deliverables. Together they represent a description of the project and its plan through four Releases, corresponding to the definition and prioritization of requirements defined by the user.

  14. Materiomics for Oral Disease Diagnostics and Personal Health Monitoring: Designer Biomaterials for the Next Generation Biomarkers

    PubMed Central

    Zhang, Wenjun; Wang, Ming L.; Khalili, Sammy

    2016-01-01

    Abstract We live in exciting times for a new generation of biomarkers being enabled by advances in the design and use of biomaterials for medical and clinical applications, from nano- to macro-materials, and protein to tissue. Key challenges arise, however, due to both scientific complexity and compatibility of the interface of biology and engineered materials. The linking of mechanisms across scales by using a materials science approach to provide structure–process–property relations characterizes the emerging field of ‘materiomics,’ which offers enormous promise to provide the hitherto missing tools for biomaterial development for clinical diagnostics and the next generation biomarker applications towards personal health monitoring. Put in other words, the emerging field of materiomics represents an essentially systematic approach to the investigation of biological material systems, integrating natural functions and processes with traditional materials science perspectives. Here we outline how materiomics provides a game-changing technology platform for disruptive innovation in biomaterial science to enable the design of tailored and functional biomaterials—particularly, the design and screening of DNA aptamers for targeting biomarkers related to oral diseases and oral health monitoring. Rigorous and complementary computational modeling and experimental techniques will provide an efficient means to develop new clinical technologies in silico, greatly accelerating the translation of materiomics-driven oral health diagnostics from concept to practice in the clinic. PMID:26760957

  15. Materiomics for Oral Disease Diagnostics and Personal Health Monitoring: Designer Biomaterials for the Next Generation Biomarkers.

    PubMed

    Zhang, Wenjun; Wang, Ming L; Khalili, Sammy; Cranford, Steven W

    2016-01-01

    We live in exciting times for a new generation of biomarkers being enabled by advances in the design and use of biomaterials for medical and clinical applications, from nano- to macro-materials, and protein to tissue. Key challenges arise, however, due to both scientific complexity and compatibility of the interface of biology and engineered materials. The linking of mechanisms across scales by using a materials science approach to provide structure-process-property relations characterizes the emerging field of 'materiomics,' which offers enormous promise to provide the hitherto missing tools for biomaterial development for clinical diagnostics and the next generation biomarker applications towards personal health monitoring. Put in other words, the emerging field of materiomics represents an essentially systematic approach to the investigation of biological material systems, integrating natural functions and processes with traditional materials science perspectives. Here we outline how materiomics provides a game-changing technology platform for disruptive innovation in biomaterial science to enable the design of tailored and functional biomaterials--particularly, the design and screening of DNA aptamers for targeting biomarkers related to oral diseases and oral health monitoring. Rigorous and complementary computational modeling and experimental techniques will provide an efficient means to develop new clinical technologies in silico, greatly accelerating the translation of materiomics-driven oral health diagnostics from concept to practice in the clinic.

  16. Monitoring the Photocleaving Dynamics of Colloidal MicroRNA-Functionalized Gold Nanoparticles Using Second Harmonic Generation.

    PubMed

    Kumal, Raju R; Landry, Corey R; Abu-Laban, Mohammad; Hayes, Daniel J; Haber, Louis H

    2015-09-15

    Photoactivated drug delivery systems using gold nanoparticles provide the promise of spatiotemporal control of delivery that is crucial for applications ranging from regenerative medicine to cancer therapy. In this study, we use second harmonic generation (SHG) spectroscopy to monitor the light-activated controlled release of oligonucleotides from the surface of colloidal gold nanoparticles. MicroRNA is functionalized to spherical gold nanoparticles using a nitrobenzyl linker that undergoes photocleaving upon ultraviolet irradiation. The SHG signal generated from the colloidal nanoparticle sample is shown to be a sensitive probe for monitoring the photocleaving dynamics in real time. The photocleaving irradiation wavelength is scanned to show maximum efficiency on resonance at 365 nm, and the kinetics are investigated at varying irradiation powers to demonstrate that the nitrobenzyl photocleaving is a one-photon process. Additional characterization methods including electrophoretic mobility measurements, extinction spectroscopy, and fluorimetry are used to verify the SHG results, leading to a better understanding of the photocleaving dynamics for this model oligonucleotide therapeutic delivery system.

  17. Privacy and Security Issues Surrounding the Protection of Data Generated by Continuous Glucose Monitors.

    PubMed

    Britton, Katherine E; Britton-Colonnese, Jennifer D

    2017-03-01

    Being able to track, analyze, and use data from continuous glucose monitors (CGMs) and through platforms and apps that communicate with CGMs helps achieve better outcomes and can advance the understanding of diabetes. The risks to patients' expectation of privacy are great, and their ability to control how their information is collected, stored, and used is virtually nonexistent. Patients' physical security is also at risk if adequate cybersecurity measures are not taken. Currently, data privacy and security protections are not robust enough to address the privacy and security risks and stymies the current and future benefits of CGM and the platforms and apps that communicate with them.

  18. Consumer information on fetal heart rate monitoring during labor: a content analysis: a content analysis.

    PubMed

    Torres, Jennifer; De Vries, Raymond; Low, Lisa Kane

    2014-01-01

    Electronic fetal monitoring (EFM) is used for the majority of births that occur in the United States. While there are indications for use of EFM for women with high-risk pregnancies, its use in low-risk pregnancies is less evidence-based. In low-risk women, the use of EFM is associated with an increased risk for cesarean birth compared with the use of intermittent auscultation of the fetal heart rate. The purpose of this investigation was to evaluate the existence of evidence-based information on fetal heart rate monitoring in popular consumer-focused maternity books and Web sites. Content analysis of information in consumer-oriented Web sites and books was completed using the NVivo software (QRSinternational, Melbourne, Australia). Themes identified included lack of clear terminology when discussing fetal monitoring, use of broad categories such as low risk and high risk, limited presentation of information about intermittent auscultation, and presentation of EFM as the standard of care, particularly upon admission into the labor unit. More than one-third of the sources did not mention auscultation, and conflicting information about monitoring methods was presented. The availability of accurate, publically accessible information offers consumers the opportunity to translate knowledge into the power to seek evidence-based care practices during their maternity care experience.

  19. Deploying information technology and continuous control monitoring systems in hospitals to prevent medication errors.

    PubMed

    Escobar-Rodríguez, Tomás; Monge-Lozano, Pedro; Romero-Alonso, Ma Mercedes; Bolívar-Raya, Ma Antonia

    2012-01-01

    The serious repercussions of healthcare errors on patient safety have led hospitals to deploy information technology and continuous control monitoring systems to prevent them. Hospitals are moving away from traditional paper-based systems and focusing on designing new systems that prevent errors, using information technologies to catalyse the process re-engineering. This paper presents a case study that analyses the effect of computerised physician order entry and automated unit-based medication storage and distribution systems on the drug ordering and delivery process. It is concluded that information technology and continuous control monitoring systems have led to significant process re-engineering in the sequential stages of the drug ordering and delivery system. The new systems have also provided the opportunity to improve information available. This is an exploratory case study and the conclusions drawn from it offer possible routes for future research in this field.

  20. A New-Generation Continuous Glucose Monitoring System: Improved Accuracy and Reliability Compared with a Previous-Generation System

    PubMed Central

    Bailey, Timothy; Watkins, Elaine; Liljenquist, David; Price, David; Nakamura, Katherine; Boock, Robert; Peyser, Thomas

    2013-01-01

    Abstract Background Use of continuous glucose monitoring (CGM) systems can improve glycemic control, but widespread adoption of CGM utilization has been limited, in part because of real and perceived problems with accuracy and reliability. This study compared accuracy and performance metrics for a new-generation CGM system with those of a previous-generation device. Subjects and Methods Subjects were enrolled in a 7-day, open-label, multicenter pivotal study. Sensor readings were compared with venous YSI measurements (blood glucose analyzer from YSI Inc., Yellow Springs, OH) every 15 min (±5 min) during in-clinic visits. The aggregate and individual sensor accuracy and reliability of a new CGM system, the Dexcom® (San Diego, CA) G4™ PLATINUM (DG4P), were compared with those of the previous CGM system, the Dexcom SEVEN® PLUS (DSP). Results Both study design and subject characteristics were similar. The aggregate mean absolute relative difference (MARD) for DG4P was 13% compared with 16% for DSP (P<0.0001), and 82% of DG4P readings were within ±20 mg/dL (for YSI ≤80 mg/dL) or 20% of YSI values (for YSI >80 mg/dL) compared with 76% for DSP (P<0.001). Ninety percent of the DG4P sensors had an individual MARD ≤20% compared with only 76% of DSP sensors (P=0.015). Half of DG4P sensors had a MARD less than 12.5% compared with 14% for the DSP sensors (P=0.028). The mean absolute difference for biochemical hypoglycemia (YSI <70 mg/dL) for DG4P was 11 mg/dL compared with 16 mg/dL for DSP (P<0.001). Conclusions The performance of DG4P was significantly improved compared with that of DSP, which may increase routine clinical use of CGM and improve patient outcomes. PMID:23777402

  1. [The Development of Information Centralization and Management Integration System for Monitors Based on Wireless Sensor Network].

    PubMed

    Xu, Xiu; Zhang, Honglei; Li, Yiming; Li, Bin

    2015-07-01

    Developed the information centralization and management integration system for monitors of different brands and models with wireless sensor network technologies such as wireless location and wireless communication, based on the existing wireless network. With adaptive implementation and low cost, the system which possesses the advantages of real-time, efficiency and elaboration is able to collect status and data of the monitors, locate the monitors, and provide services with web server, video server and locating server via local network. Using an intranet computer, the clinical and device management staffs can access the status and parameters of monitors. Applications of this system provide convenience and save human resource for clinical departments, as well as promote the efficiency, accuracy and elaboration for the device management. The successful achievement of this system provides solution for integrated and elaborated management of the mobile devices including ventilator and infusion pump.

  2. Technical specification for transferring ambient air monitoring data to the Oak Ridge Environmental Information System (OREIS)

    SciTech Connect

    1995-06-01

    In September 1994, a team was formed to develop, document, and implement technical specifications for transmitting ambient air environmental compliance and monitoring data to the Oak Ridge Environmental Information System (OREIS). The approach used to transmit this data is documented in the {open_quotes}Plan for Integrating Environmental Compliance and Monitoring Data into OREIS.{close_quotes} This plan addresses the consolidated data requirements defined by the Federal Facility Agreement (FFA) and the Tennessee Oversight Agreement (TOA) as they pertain to environmental compliance and monitoring data maintained by Energy Systems` Oak Ridge Environmental Management organizations. Ibis document describes. the requirements, responsibilities, criteria, and format for transmitting ambient air compliance and monitoring data to OREIS.

  3. Optimal design of hydrometric monitoring networks with dynamic components based on Information Theory

    NASA Astrophysics Data System (ADS)

    Alfonso, Leonardo; Chacon, Juan; Solomatine, Dimitri

    2016-04-01

    The EC-FP7 WeSenseIt project proposes the development of a Citizen Observatory of Water, aiming at enhancing environmental monitoring and forecasting with the help of citizens equipped with low-cost sensors and personal devices such as smartphones and smart umbrellas. In this regard, Citizen Observatories may complement the limited data availability in terms of spatial and temporal density, which is of interest, among other areas, to improve hydraulic and hydrological models. At this point, the following question arises: how can citizens, who are part of a citizen observatory, be optimally guided so that the data they collect and send is useful to improve modelling and water management? This research proposes a new methodology to identify the optimal location and timing of potential observations coming from moving sensors of hydrological variables. The methodology is based on Information Theory, which has been widely used in hydrometric monitoring design [1-4]. In particular, the concepts of Joint Entropy, as a measure of the amount of information that is contained in a set of random variables, which, in our case, correspond to the time series of hydrological variables captured at given locations in a catchment. The methodology presented is a step forward in the state of the art because it solves the multiobjective optimisation problem of getting simultaneously the minimum number of informative and non-redundant sensors needed for a given time, so that the best configuration of monitoring sites is found at every particular moment in time. To this end, the existing algorithms have been improved to make them efficient. The method is applied to cases in The Netherlands, UK and Italy and proves to have a great potential to complement the existing in-situ monitoring networks. [1] Alfonso, L., A. Lobbrecht, and R. Price (2010a), Information theory-based approach for location of monitoring water level gauges in polders, Water Resour. Res., 46(3), W03528 [2] Alfonso, L., A

  4. Plasma cell treatment device Plasma-on-Chip: Monitoring plasma-generated reactive species in microwells.

    PubMed

    Oh, Jun-Seok; Kojima, Shinya; Sasaki, Minoru; Hatta, Akimitsu; Kumagai, Shinya

    2017-02-08

    We have developed a plasma cell treatment device called Plasma-on-Chip that enables the real-time monitoring of a single cell culture during plasma treatment. The device consists of three parts: 1) microwells for cell culture, 2) a microplasma device for generating reactive oxygen and nitrogen species (RONS) for use in cell treatment, and 3) through-holes (microchannels) that connect each microwell with the microplasma region for RONS delivery. Here, we analysed the delivery of the RONS to the liquid culture medium stored in the microwells. We developed a simple experimental set-up using a microdevice and applied in situ ultraviolet absorption spectroscopy with high sensitivity for detecting RONS in liquid. The plasma-generated RONS were delivered into the liquid culture medium via the through-holes fabricated into the microdevice. The RONS concentrations were on the order of 10-100 μM depending on the size of the through-holes. In contrast, we found that the amount of dissolved oxygen was almost constant. To investigate the process of RONS generation, we numerically analysed the gas flow in the through-holes. We suggest that the circulating gas flow in the through-holes promotes the interaction between the plasma (ionised gas) and the liquid, resulting in enhanced RONS concentrations.

  5. Plasma cell treatment device Plasma-on-Chip: Monitoring plasma-generated reactive species in microwells

    NASA Astrophysics Data System (ADS)

    Oh, Jun-Seok; Kojima, Shinya; Sasaki, Minoru; Hatta, Akimitsu; Kumagai, Shinya

    2017-02-01

    We have developed a plasma cell treatment device called Plasma-on-Chip that enables the real-time monitoring of a single cell culture during plasma treatment. The device consists of three parts: 1) microwells for cell culture, 2) a microplasma device for generating reactive oxygen and nitrogen species (RONS) for use in cell treatment, and 3) through-holes (microchannels) that connect each microwell with the microplasma region for RONS delivery. Here, we analysed the delivery of the RONS to the liquid culture medium stored in the microwells. We developed a simple experimental set-up using a microdevice and applied in situ ultraviolet absorption spectroscopy with high sensitivity for detecting RONS in liquid. The plasma-generated RONS were delivered into the liquid culture medium via the through-holes fabricated into the microdevice. The RONS concentrations were on the order of 10–100 μM depending on the size of the through-holes. In contrast, we found that the amount of dissolved oxygen was almost constant. To investigate the process of RONS generation, we numerically analysed the gas flow in the through-holes. We suggest that the circulating gas flow in the through-holes promotes the interaction between the plasma (ionised gas) and the liquid, resulting in enhanced RONS concentrations.

  6. Plasma cell treatment device Plasma-on-Chip: Monitoring plasma-generated reactive species in microwells

    PubMed Central

    Oh, Jun-Seok; Kojima, Shinya; Sasaki, Minoru; Hatta, Akimitsu; Kumagai, Shinya

    2017-01-01

    We have developed a plasma cell treatment device called Plasma-on-Chip that enables the real-time monitoring of a single cell culture during plasma treatment. The device consists of three parts: 1) microwells for cell culture, 2) a microplasma device for generating reactive oxygen and nitrogen species (RONS) for use in cell treatment, and 3) through-holes (microchannels) that connect each microwell with the microplasma region for RONS delivery. Here, we analysed the delivery of the RONS to the liquid culture medium stored in the microwells. We developed a simple experimental set-up using a microdevice and applied in situ ultraviolet absorption spectroscopy with high sensitivity for detecting RONS in liquid. The plasma-generated RONS were delivered into the liquid culture medium via the through-holes fabricated into the microdevice. The RONS concentrations were on the order of 10–100 μM depending on the size of the through-holes. In contrast, we found that the amount of dissolved oxygen was almost constant. To investigate the process of RONS generation, we numerically analysed the gas flow in the through-holes. We suggest that the circulating gas flow in the through-holes promotes the interaction between the plasma (ionised gas) and the liquid, resulting in enhanced RONS concentrations. PMID:28176800

  7. Cutting Off Access to Government Information: Loopholes in the Access to Information Act Generated by the Information Highway.

    ERIC Educational Resources Information Center

    Macaulay, Tyson

    1997-01-01

    In Canada, public access to federal government information is ruled by the Access to Information Act. This article explores loopholes in the Act, issues of data format and "tradeable" data (government information with substantial value), that could cause a conflict between its intent and effect. Tradeable data is troublesome because of…

  8. Informed Decision Making for In-Home Use of Motion Sensor-Based Monitoring Technologies

    ERIC Educational Resources Information Center

    Bruce, Courtenay R.

    2012-01-01

    Motion sensor-based monitoring technologies are designed to maintain independence and safety of older individuals living alone. These technologies use motion sensors that are placed throughout older individuals' homes in order to derive information about eating, sleeping, and leaving/returning home habits. Deviations from normal behavioral…

  9. 12 CFR Appendix II to Part 27 - Information for Government Monitoring Purposes

    Code of Federal Regulations, 2013 CFR

    2013-01-01

    ... Monitoring Purposes The following language is approved by the Comptroller of the Currency and will satisfy... below. Borrower I do not wish to furnish this information (initial)____. Race/National Origin □ American Indian or Alaskan Native □ Asian or Pacific Islander □ Black, not of Hispanic origin □ Hispanic □...

  10. 12 CFR Appendix II to Part 27 - Information for Government Monitoring Purposes

    Code of Federal Regulations, 2012 CFR

    2012-01-01

    ... Monitoring Purposes The following language is approved by the Comptroller of the Currency and will satisfy... below. Borrower I do not wish to furnish this information (initial)____. Race/National Origin □ American Indian or Alaskan Native □ Asian or Pacific Islander □ Black, not of Hispanic origin □ Hispanic □...

  11. 12 CFR Appendix II to Part 27 - Information for Government Monitoring Purposes

    Code of Federal Regulations, 2014 CFR

    2014-01-01

    ... Monitoring Purposes The following language is approved by the Comptroller of the Currency and will satisfy... below. Borrower I do not wish to furnish this information (initial)____. Race/National Origin □ American Indian or Alaskan Native □ Asian or Pacific Islander □ Black, not of Hispanic origin □ Hispanic □...

  12. Information Repetition in Evaluative Judgments: Easy to Monitor, Hard to Control

    ERIC Educational Resources Information Center

    Unkelbach, Christian; Fiedler, Klaus; Freytag, Peter

    2007-01-01

    The sampling approach [Fiedler, K. (2000a). "Beware of samples! A cognitive-ecological sampling approach to judgment biases." "Psychological Review, 107"(4), 659-676.] attributes judgment biases to the information given in a sample. Because people usually do not monitor the constraints of samples and do not control their judgments accordingly,…

  13. Minimum information for reporting next generation sequence genotyping (MIRING): Guidelines for reporting HLA and KIR genotyping via next generation sequencing.

    PubMed

    Mack, Steven J; Milius, Robert P; Gifford, Benjamin D; Sauter, Jürgen; Hofmann, Jan; Osoegawa, Kazutoyo; Robinson, James; Groeneweg, Mathijs; Turenchalk, Gregory S; Adai, Alex; Holcomb, Cherie; Rozemuller, Erik H; Penning, Maarten T; Heuer, Michael L; Wang, Chunlin; Salit, Marc L; Schmidt, Alexander H; Parham, Peter R; Müller, Carlheinz; Hague, Tim; Fischer, Gottfried; Fernandez-Viňa, Marcelo; Hollenbach, Jill A; Norman, Paul J; Maiers, Martin

    2015-12-01

    The development of next-generation sequencing (NGS) technologies for HLA and KIR genotyping is rapidly advancing knowledge of genetic variation of these highly polymorphic loci. NGS genotyping is poised to replace older methods for clinical use, but standard methods for reporting and exchanging these new, high quality genotype data are needed. The Immunogenomic NGS Consortium, a broad collaboration of histocompatibility and immunogenetics clinicians, researchers, instrument manufacturers and software developers, has developed the Minimum Information for Reporting Immunogenomic NGS Genotyping (MIRING) reporting guidelines. MIRING is a checklist that specifies the content of NGS genotyping results as well as a set of messaging guidelines for reporting the results. A MIRING message includes five categories of structured information - message annotation, reference context, full genotype, consensus sequence and novel polymorphism - and references to three categories of accessory information - NGS platform documentation, read processing documentation and primary data. These eight categories of information ensure the long-term portability and broad application of this NGS data for all current histocompatibility and immunogenetics use cases. In addition, MIRING can be extended to allow the reporting of genotype data generated using pre-NGS technologies. Because genotyping results reported using MIRING are easily updated in accordance with reference and nomenclature databases, MIRING represents a bold departure from previous methods of reporting HLA and KIR genotyping results, which have provided static and less-portable data. More information about MIRING can be found online at miring.immunogenomics.org.

  14. Improving Multi-Sensor Drought Monitoring, Prediction and Recovery Assessment Using Gravimetry Information

    NASA Astrophysics Data System (ADS)

    Aghakouchak, Amir; Tourian, Mohammad J.

    2015-04-01

    Development of reliable drought monitoring, prediction and recovery assessment tools are fundamental to water resources management. This presentation focuses on how gravimetry information can improve drought assessment. First, we provide an overview of the Global Integrated Drought Monitoring and Prediction System (GIDMaPS) which offers near real-time drought information using remote sensing observations and model simulations. Then, we present a framework for integration of satellite gravimetry information for improving drought prediction and recovery assessment. The input data include satellite-based and model-based precipitation, soil moisture estimates and equivalent water height. Previous studies show that drought assessment based on one single indicator may not be sufficient. For this reason, GIDMaPS provides drought information based on multiple drought indicators including Standardized Precipitation Index (SPI), Standardized Soil Moisture Index (SSI) and the Multivariate Standardized Drought Index (MSDI) which combines SPI and SSI probabilistically. MSDI incorporates the meteorological and agricultural drought conditions and provides composite multi-index drought information for overall characterization of droughts. GIDMaPS includes a seasonal prediction component based on a statistical persistence-based approach. The prediction component of GIDMaPS provides the empirical probability of drought for different severity levels. In this presentation we present a new component in which the drought prediction information based on SPI, SSI and MSDI are conditioned on equivalent water height obtained from the Gravity Recovery and Climate Experiment (GRACE). Using a Bayesian approach, GRACE information is used to evaluate persistence of drought. Finally, the deficit equivalent water height based on GRACE is used for assessing drought recovery. In this presentation, both monitoring and prediction components of GIDMaPS will be discussed, and the results from 2014

  15. Monitoring the thermally induced structural transitions of collagen by use of second-harmonic generation microscopy

    NASA Astrophysics Data System (ADS)

    Lin, Sung-Jan; Hsiao, Chih-Yuan; Sun, Yen; Lo, Wen; Lin, Wei-Chou; Jan, Gwo-Jen; Jee, Shiou-Hwa; Dong, Chen-Yuan

    2005-03-01

    The thermal disruption of collagen I in rat tail tendon is investigated with second-harmonic generation (SHG) microscopy. We investigate its effects on SHG images and intensity in the temperature range 25°-60°C. We find that the SHG signal decreases rapidly starting at 45°C. However, SHG imaging reveals that breakage of collagen fibers is not evident until 57°C and worsens with increasing temperature. At 57°C, structures of both molten and fibrous collagen exist, and the disruption of collagen appears to be complete at 60°C. Our results suggest that, in addition to intensity measurement, SHG imaging is necessary for monitoring details of thermally induced changes in collagen structures in biomedical applications.

  16. Multicenter Observational Study of the First-Generation Intravenous Blood Glucose Monitoring System in Hospitalized Patients

    PubMed Central

    Bochicchio, Grant V.; Hipszer, Brian R.; Magee, Michelle F.; Bergenstal, Richard M.; Furnary, Anthony P.; Gulino, Angela M.; Higgins, Michael J.; Simpson, Peter C.; Joseph, Jeffrey I.

    2015-01-01

    Background: Current methods of blood glucose (BG) monitoring and insulin delivery are labor intensive and commonly fail to achieve the desired level of BG control. There is great clinical need in the hospital for a user-friendly bedside device that can automatically monitor the concentration of BG safely, accurately, frequently, and reliably. Methods: A 100-patient observation study was conducted at 6 US hospitals to evaluate the first generation of the Intravenous Blood Glucose (IVBG) System (Edwards Lifesciences LLC & Dexcom Inc). Device safety, accuracy, and reliability were assessed. A research nurse sampled blood from a vascular catheter every 4 hours for ≤ 72 hours and BG concentration was measured using the YSI 2300 STAT Plus Analyzer (YSI Life Sciences). The IVBG measurements were compared to YSI measurements to calculate point accuracy. Results: The IVBG systems logged more than 5500 hours of operation in 100 critical care patients without causing infection or inflammation of a vein. A total of 44135 IVBG measurements were performed in 100 patients with 30231 measurements from the subset of 75 patients used for accuracy analysis. In all, 996 IVBG measurements were time-matched with reference YSI measurements. These pairs had a mean absolute difference (MAD) of 11.61 mg/dl, a mean absolute relative difference (MARD) of 8.23%, 93% met 15/20% accuracy defined by International Organization for Standardization 15197:2003 standard, and 93.2% were in zone A of the Clarke error grid. The IVBG sensors were exposed to more than 200 different medications with no observable effect on accuracy. Conclusions: The IVBG system is an automated and user-friendly glucose monitoring system that provides accurate and frequent BG measurements with great potential to improve the safety and efficacy of insulin therapy and BG control in the hospital, potentially leading to improved clinical outcomes. PMID:26033922

  17. Estimating Alarm Thresholds for Process Monitoring Data under Different Assumptions about the Data Generating Mechanism

    DOE PAGES

    Burr, Tom; Hamada, Michael S.; Howell, John; ...

    2013-01-01

    Process monitoring (PM) for nuclear safeguards sometimes requires estimation of thresholds corresponding to small false alarm rates. Threshold estimation dates to the 1920s with the Shewhart control chart; however, because possible new roles for PM are being evaluated in nuclear safeguards, it is timely to consider modern model selection options in the context of threshold estimation. One of the possible new PM roles involves PM residuals, where a residual is defined as residual = data − prediction. This paper reviews alarm threshold estimation, introduces model selection options, and considers a range of assumptions regarding the data-generating mechanism for PM residuals.more » Two PM examples from nuclear safeguards are included to motivate the need for alarm threshold estimation. The first example involves mixtures of probability distributions that arise in solution monitoring, which is a common type of PM. The second example involves periodic partial cleanout of in-process inventory, leading to challenging structure in the time series of PM residuals.« less

  18. Next-generation monitoring of aquatic biodiversity using environmental DNA metabarcoding.

    PubMed

    Valentini, Alice; Taberlet, Pierre; Miaud, Claude; Civade, Raphaël; Herder, Jelger; Thomsen, Philip Francis; Bellemain, Eva; Besnard, Aurélien; Coissac, Eric; Boyer, Frédéric; Gaboriaud, Coline; Jean, Pauline; Poulet, Nicolas; Roset, Nicolas; Copp, Gordon H; Geniez, Philippe; Pont, Didier; Argillier, Christine; Baudoin, Jean-Marc; Peroux, Tiphaine; Crivelli, Alain J; Olivier, Anthony; Acqueberge, Manon; Le Brun, Matthieu; Møller, Peter R; Willerslev, Eske; Dejean, Tony

    2016-02-01

    Global biodiversity in freshwater and the oceans is declining at high rates. Reliable tools for assessing and monitoring aquatic biodiversity, especially for rare and secretive species, are important for efficient and timely management. Recent advances in DNA sequencing have provided a new tool for species detection from DNA present in the environment. In this study, we tested whether an environmental DNA (eDNA) metabarcoding approach, using water samples, can be used for addressing significant questions in ecology and conservation. Two key aquatic vertebrate groups were targeted: amphibians and bony fish. The reliability of this method was cautiously validated in silico, in vitro and in situ. When compared with traditional surveys or historical data, eDNA metabarcoding showed a much better detection probability overall. For amphibians, the detection probability with eDNA metabarcoding was 0.97 (CI = 0.90-0.99) vs. 0.58 (CI = 0.50-0.63) for traditional surveys. For fish, in 89% of the studied sites, the number of taxa detected using the eDNA metabarcoding approach was higher or identical to the number detected using traditional methods. We argue that the proposed DNA-based approach has the potential to become the next-generation tool for ecological studies and standardized biodiversity monitoring in a wide range of aquatic ecosystems.

  19. The next generation of low-cost personal air quality sensors for quantitative exposure monitoring

    NASA Astrophysics Data System (ADS)

    Piedrahita, R.; Xiang, Y.; Masson, N.; Ortega, J.; Collier, A.; Jiang, Y.; Li, K.; Dick, R.; Lv, Q.; Hannigan, M.; Shang, L.

    2014-03-01

    Advances in embedded systems and low-cost gas sensors are enabling a new wave of low cost air quality monitoring tools. Our team has been engaged in the development of low-cost wearable air quality monitors (M-Pods) using the Arduino platform. The M-Pods use commercially available metal oxide semiconductor (MOx) sensors to measure CO, O3, NO2, and total VOCs, and NDIR sensors to measure CO2. MOx sensors are low in cost and show high sensitivity near ambient levels; however they display non-linear output signals and have cross sensitivity effects. Thus, a quantification system was developed to convert the MOx sensor signals into concentrations. Two deployments were conducted at a regulatory monitoring station in Denver, Colorado. M-Pod concentrations were determined using laboratory calibration techniques and co-location calibrations, in which we place the M-Pods near regulatory monitors to then derive calibration function coefficients using the regulatory monitors as the standard. The form of the calibration function was derived based on laboratory experiments. We discuss various techniques used to estimate measurement uncertainties. A separate user study was also conducted to assess personal exposure and M-Pod reliability. In this study, 10 M-Pods were calibrated via co-location multiple times over 4 weeks and sensor drift was analyzed with the result being a calibration function that included drift. We found that co-location calibrations perform better than laboratory calibrations. Lab calibrations suffer from bias and difficulty in covering the necessary parameter space. During co-location calibrations, median standard errors ranged between 4.0-6.1 ppb for O3, 6.4-8.4 ppb for NO2, 0.28-0.44 ppm for CO, and 16.8 ppm for CO2. Median signal to noise (S/N) ratios for the M-Pod sensors were higher for M-Pods than the regulatory instruments: for NO2, 3.6 compared to 23.4; for O3, 1.4 compared to 1.6; for CO, 1.1 compared to 10.0; and for CO2, 42.2 compared to 300

  20. Value of information analysis for groundwater quality monitoring network design Case study: Eocene Aquifer, Palestine

    NASA Astrophysics Data System (ADS)

    Khader, A.; McKee, M.

    2010-12-01

    Value of information (VOI) analysis evaluates the benefit of collecting additional information to reduce or eliminate uncertainty in a specific decision-making context. It makes explicit any expected potential losses from errors in decision making due to uncertainty and identifies the “best” information collection strategy as one that leads to the greatest expected net benefit to the decision-maker. This study investigates the willingness to pay for groundwater quality monitoring in the Eocene Aquifer, Palestine, which is an unconfined aquifer located in the northern part of the West Bank. The aquifer is being used by 128,000 Palestinians to fulfill domestic and agricultural demands. The study takes into account the consequences of pollution and the options the decision maker might face. Since nitrate is the major pollutant in the aquifer, the consequences of nitrate pollution were analyzed, which mainly consists of the possibility of methemoglobinemia (blue baby syndrome). In this case, the value of monitoring was compared to the costs of treating for methemoglobinemia or the costs of other options like water treatment, using bottled water or importing water from outside the aquifer. And finally, an optimal monitoring network that takes into account the uncertainties in recharge (climate), aquifer properties (hydraulic conductivity), pollutant chemical reaction (decay factor), and the value of monitoring is designed by utilizing a sparse Bayesian modeling algorithm called a relevance vector machine.

  1. HEIS: An integrated information system for environmental restoration and monitoring at Hanford

    SciTech Connect

    Tzemos, S.; Kissinger, B.

    1991-11-01

    The US Department of Energy`s Hanford Site has about 1500 waste sites that contain a complex mixture of chemical and radioactive contaminants. After many years of environmental monitoring to assess the impact of Hanford operations to the environment, the Site`s mission is shifting to environmental restoration. The Hanford Environmental Information System (HEIS) is being developed to provide advanced tools to (1) support environmental restoration and routine site-wide monitoring, and (2) aid the scientists in understanding and conducting the restoration efforts. This paper describes some of the highlights and distinctive features of HEIS.

  2. HEIS: An integrated information system for environmental restoration and monitoring at Hanford

    SciTech Connect

    Tzemos, S.; Kissinger, B.

    1991-11-01

    The US Department of Energy's Hanford Site has about 1500 waste sites that contain a complex mixture of chemical and radioactive contaminants. After many years of environmental monitoring to assess the impact of Hanford operations to the environment, the Site's mission is shifting to environmental restoration. The Hanford Environmental Information System (HEIS) is being developed to provide advanced tools to (1) support environmental restoration and routine site-wide monitoring, and (2) aid the scientists in understanding and conducting the restoration efforts. This paper describes some of the highlights and distinctive features of HEIS.

  3. Indicators and protocols for monitoring impacts of formal and informal trails in protected areas

    USGS Publications Warehouse

    Marion, Jeffrey L.; Leung, Yu-Fai

    2011-01-01

    Trails are a common recreation infrastructure in protected areas and their conditions affect the quality of natural resources and visitor experiences. Various trail impact indicators and assessment protocols have been developed in support of monitoring programs, which are often used for management decision-making or as part of visitor capacity management frameworks. This paper reviews common indicators and assessment protocols for three types of trails, surfaced formal trails, unsurfaced formal trails, and informal (visitor-created) trails. Monitoring methods and selected data from three U.S. National Park Service units are presented to illustrate some common trail impact indicators and assessment options.

  4. Data gateway for prognostic health monitoring of ocean-based power generation

    NASA Astrophysics Data System (ADS)

    Gundel, Joseph

    On August 5, 2010 the U.S. Department of Energy (DOE) has designated the Center for Ocean Energy Technology (COET) at Florida Atlantic University (FAU) as a national center for ocean energy research and development. Their focus is the research and development of open-ocean current systems and associated infrastructure needed to development and testing prototypes. The generation of power is achieved by using a specialized electric generator with a rotor called a turbine. As with all machines, the turbines will need maintenance and replacement as they near the end of their lifecycle. This prognostic health monitoring (PHM) requires data to be collected, stored, and analyzed in order to maximize the lifespan, reduce downtime and predict when failure is eminent. This thesis explores the use of a data gateway which will separate high level software with low level hardware including sensors and actuators. The gateway will standardize and store the data collected from various sensors with different speeds, formats, and interfaces allowing an easy and uniform transition to a database system for analysis.

  5. Understanding Spatial and Temporal Variability in Ozone Levels within a Remote-sensing Scale Grid Cell using Data Collected with Low-cost, Next Generation Monitoring Systems

    NASA Astrophysics Data System (ADS)

    Collier, A. M.; Hannigan, M.; Masson, N.; Piedrahita, R.; Gordon, J. L.; Russel, M.

    2014-12-01

    For the past several years, our research group has been developing low-cost (for reference, each unit costs under $1000) next generation air quality monitors, which utilize metal-oxide semiconductor sensors and non-dispersive infrared sensors to collect data on various gaseous pollutants. The pollutants of focus for this deployment were CO2, O3, and NO2. Additional data collected by the monitors includes temperature, humidity, wind speed and direction, and some information on hydrocarbon levels. A main focus of our research has been sensor characterization and exploring research applications of the technology. During summer 2014, the DISCOVER-AQ and FRAPPE sampling campaigns provided our group with the opportunity to deploy twenty monitors throughout the sampling region with the Boulder Atmospheric Observatory Tower in Erie CO at the center of our monitoring area. Thirteen of these monitors were located at ground-level within an approximately 10 by 10 km grid cell, and the rest were outside of this area at various distances. This placement was intended to provide information on pollutant variability, specifically ozone, within a remote-sensing sized grid cell. Additionally, the availability of reference monitors in the field provided opportunities for co-location during the deployment and hence, opportunities to quantify monitor performance. Analysis will include both an evaluation of low-cost sensor performance and a look at temporal and spatial variability. For example, land-use regression modeling will be used to explore population density, distance to roadways, and distance to oil and gas activity as covariates. Additionally, we will explore how the spatial distribution varies with time and look for temporal patterns.

  6. Subsurface hydrological information in rock-slide phenomena from groundwater spring monitoring.

    NASA Astrophysics Data System (ADS)

    Rochetti, Francesco; Corsini, Alessandro; Deiana, Manuela; Loche, Roberto; Mulas, Marco; Russo, Michele

    2016-04-01

    Frequently rock-slide phenomena are characterized by rough topography and high declivity of the slope. Due to these characteristics, the drilling of boreholes is not so common and in some circumstance expensive. Consequently, the exact information about depth of the sliding surface and about groundwater processes, groundwater levels or pore water pressure distribution are missing. Alternately, some information about the groundwater can be obtained from the physical-chemical monitoring of springs. The research highlights preliminary results, about the groundwater processes, obtained from the continuous flow-rate monitoring of a spring located in the active Piagneto rock-slide (northern Apennine). The spring has been monitored from Sept-2014 until Oct-2015 using a piezometer transducer (sampling frequency 1 h) and a triangular weir. The landslide was monitored in continuous since the 2009 using an automatic total station and some reflectors. The monitoring of the rock-slide displacements showed creep phenomena in the summer and acceleration phases from autumn to late spring, during periods characterized by high rainfall intensity; rainfall with intensity higher than 10 mm/d and duration less than 15 days can produce the acceleration of the sliding mass. Before 2014 any information about groundwater was collected. The successively spring monitoring shows the follow results: the spring flow rate is strongly variable in the time; only some rainfall events, with particular intensity and duration (generally total amount higher than 100 mm), are responsible of strong changes in the flow rate, and the flow rate starts to increase only after some hours; the snow melting events, also when there is a fast reduction of the snow thickness, don't produce high variation in the flow rate discharge; there is a strong correlation between the flow rate peaks and the rock-slide acceleration; an infiltration coefficient higher than 70% is estimated through the comparison between the

  7. Plant-wide process monitoring based on mutual information-multiblock principal component analysis.

    PubMed

    Jiang, Qingchao; Yan, Xuefeng

    2014-09-01

    Multiblock principal component analysis (MBPCA) methods are gaining increasing attentions in monitoring plant-wide processes. Generally, MBPCA assumes that some process knowledge is incorporated for block division; however, process knowledge is not always available. A new totally data-driven MBPCA method, which employs mutual information (MI) to divide the blocks automatically, has been proposed. By constructing sub-blocks using MI, the division not only considers linear correlations between variables, but also takes into account non-linear relations thereby involving more statistical information. The PCA models in sub-blocks reflect more local behaviors of process, and the results in all blocks are combined together by support vector data description. The proposed method is implemented on a numerical process and the Tennessee Eastman process. Monitoring results demonstrate the feasibility and efficiency.

  8. SUPPORT Tools for Evidence-informed Policymaking in health 18: Planning monitoring and evaluation of policies

    PubMed Central

    2009-01-01

    This article is part of a series written for people responsible for making decisions about health policies and programmes and for those who support these decision makers. The term monitoring is commonly used to describe the process of systematically collecting data to inform policymakers, managers and other stakeholders whether a new policy or programme is being implemented in accordance with their expectations. Indicators are used for monitoring purposes to judge, for example, if objectives are being achieved, or if allocated funds are being spent appropriately. Sometimes the term evaluation is used interchangeably with the term monitoring, but the former usually suggests a stronger focus on the achievement of results. When the term impact evaluation is used, this usually implies that there is a specific attempt to try to determine whether the observed changes in outcomes can be attributed to a particular policy or programme. In this article, we suggest four questions that can be used to guide the monitoring and evaluation of policy or programme options. These are: 1. Is monitoring necessary? 2. What should be measured? 3. Should an impact evaluation be conducted? 4. How should the impact evaluation be done? PMID:20018108

  9. Continuous safety monitoring for randomized controlled clinical trials with blinded treatment information. Part 3: Design considerations.

    PubMed

    Ball, Greg; Silverman, Michael H

    2011-09-01

    Ongoing safety monitoring of clinical trials of investigational treatments must operate at levels that range from the minute and detailed - namely, mathematical treatment of trial data - to the philosophical and societal - namely, ethical concerns for individuals and populations. Between those two poles lies a realm of environmental and pragmatic considerations that reflect the goals, biases, risk-tolerance, and constraints of study sponsors and organizers. These factors, while more difficult to quantify or, at times, to justify, also have a meaningful impact on the approach to safety monitoring and the resulting actions and outcomes. This paper considers the influence and interaction of two such factors, study design and statistical framework, on continuous safety monitoring procedures. Group sequential designs have been generally preferred for clinical trials over continuous sequential designs because of practical considerations. The group means and greater time for deliberation when using a group sequential procedure, as opposed to a continuous sequential procedure, can improve the quality of the analyses with minimal loss in sensitivity. However, undertaking any sequential analysis within a frequentist framework provokes considerable theoretical and practical difficulties. Continuous monitoring with a likelihood based method, on the other hand, has the advantages that all available information, including new data, can be used; sample sizes need not be fixed; and decisions can be made at any time without statistical penalty, irrespective of trial design. Such responsive statistical rules are needed to provide guidance to the human beings charged with trial monitoring.

  10. An on-line monitoring system for oil-film, pressure and temperature distributions in large-scale hydro-generator bearings

    NASA Astrophysics Data System (ADS)

    Höbel, M.; Haffner, K.

    1999-05-01

    Instrumentation that allows the behaviour of a hydro-generator thrust bearing to be monitored during operation is described. The measurement system was developed at the Asea Brown Boveri corporate research centre in Switzerland and was tested under realistic operating conditions at the Harbin Electric Machinery Company bearing-testing facility in the People's Republic of China. Newly developed fibre-optical proximity probes were used for the on-line monitoring of the thin oil film between the static and rotating parts of the bearing. These sensors are based on a back-reflection technique and can be used for various target materials such as Babbitt and Teflon. The monitoring system comprises about 120 temperature sensors, four pressure sensors and five optical oil-film thickness sensors. Temperature sensors are installed at specific static locations, whereas pressure and oil-film sensors are positioned in the runner and generate data during rotation. A special feature of the monitoring equipment is its on-line processing capability. Digital signal processors operating in parallel handle pressure and oil-film thickness data. Important measurement parameters such as the maximum pressure, maximum temperature and minimum oil-film thickness are displayed on-line. Detailed three-dimensional temperature information on one of the load segments can be obtained from subsequent off-line data analysis. The system also calculates two-dimensional plots of the oil-film thickness and pressure for most of the 12 load segments.

  11. Distributed Dynamic State Estimator, Generator Parameter Estimation and Stability Monitoring Demonstration

    SciTech Connect

    Meliopoulos, Sakis; Cokkinides, George; Fardanesh, Bruce; Hedrington, Clinton

    2013-12-31

    This is the final report for this project that was performed in the period: October1, 2009 to June 30, 2013. In this project, a fully distributed high-fidelity dynamic state estimator (DSE) that continuously tracks the real time dynamic model of a wide area system with update rates better than 60 times per second is achieved. The proposed technology is based on GPS-synchronized measurements but also utilizes data from all available Intelligent Electronic Devices in the system (numerical relays, digital fault recorders, digital meters, etc.). The distributed state estimator provides the real time model of the system not only the voltage phasors. The proposed system provides the infrastructure for a variety of applications and two very important applications (a) a high fidelity generating unit parameters estimation and (b) an energy function based transient stability monitoring of a wide area electric power system with predictive capability. Also the dynamic distributed state estimation results are stored (the storage scheme includes data and coincidental model) enabling an automatic reconstruction and “play back” of a system wide disturbance. This approach enables complete play back capability with fidelity equal to that of real time with the advantage of “playing back” at a user selected speed. The proposed technologies were developed and tested in the lab during the first 18 months of the project and then demonstrated on two actual systems, the USVI Water and Power Administration system and the New York Power Authority’s Blenheim-Gilboa pumped hydro plant in the last 18 months of the project. The four main thrusts of this project, mentioned above, are extremely important to the industry. The DSE with the achieved update rates (more than 60 times per second) provides a superior solution to the “grid visibility” question. The generator parameter identification method fills an important and practical need of the industry. The “energy function” based

  12. PubMed Informer: monitoring MEDLINE/PubMed through e-mail alerts, SMS, PDA downloads and RSS feeds.

    PubMed

    Muin, Michael; Fontelo, Paul; Ackerman, Michael

    2005-01-01

    PubMed Informer is a Web-based monitoring tool for topics of interest from MEDLINE/PubMed primarily designed for healthcare professionals. Five tracking methods are available: Web access, e-mail, Short Message Service (SMS), PDA downloads and RSS feeds. PubMed Informer delivers focused search updates and specific information to users with varying information-seeking practices.

  13. The future role of next-generation DNA sequencing and metagenetics in aquatic biology monitoring programs

    EPA Science Inventory

    The development of current biological monitoring and bioassessment programs was a drastic improvement over previous programs created for monitoring a limited number of specific chemical pollutants. Although these assessment programs are better designed to address the transient an...

  14. Combining qualitative and quantitative spatial and temporal information in a hierarchical structure: Approximate reasoning for plan execution monitoring

    NASA Technical Reports Server (NTRS)

    Hoebel, Louis J.

    1993-01-01

    The problem of plan generation (PG) and the problem of plan execution monitoring (PEM), including updating, queries, and resource-bounded replanning, have different reasoning and representation requirements. PEM requires the integration of qualitative and quantitative information. PEM is the receiving of data about the world in which a plan or agent is executing. The problem is to quickly determine the relevance of the data, the consistency of the data with respect to the expected effects, and if execution should continue. Only spatial and temporal aspects of the plan are addressed for relevance in this work. Current temporal reasoning systems are deficient in computational aspects or expressiveness. This work presents a hybrid qualitative and quantitative system that is fully expressive in its assertion language while offering certain computational efficiencies. In order to proceed, methods incorporating approximate reasoning using hierarchies, notions of locality, constraint expansion, and absolute parameters need be used and are shown to be useful for the anytime nature of PEM.

  15. Global Drought Information System: Influence of Differences in Land Surface Model Dynamics on Drought Monitoring

    NASA Astrophysics Data System (ADS)

    Nijssen, B.; Shukla, S.; Mo, K. C.; Lettenmaier, D. P.

    2014-12-01

    Real-time drought monitoring enables a proactive drought management approach that can lead to timely actions to mitigate the losses due to a drought event. In recent years, the availability of long-term, high quality, satellite and reanalysis based datasets of atmospheric forcings, combined with the development of state-of-the-art hydrologic models have made real-time global drought monitoring feasible. Hydrologic models are invaluable tools for global drought monitoring given the scarcity of long-term moisture observations (e.g. soil moisture, streamflow). However, as valuable as they are for drought monitoring, characteristics of a drought event (i.e. onset, severity and persistence) as estimated by a hydrologic model depend on the model's parameters (e.g. soil and vegetation parameters) and its inherent dynamics that guide the partition of precipitation into evapotranspiration and runoff. One approach to account for the differences in drought estimates due to differences in model dynamics is to use multiple hydrologic models. Each hydrologic model is forced with the same atmospheric forcings to simulate moisture conditions which are converted into objective drought indicators (e.g. soil moisture percentile) with respect to the model's own climatology and then those estimates are combined to provide a multimodel based drought estimates. The University of Washington's Global Drought Information System (GDIS) developed in 2013, is one such prototype drought monitoring system. This system uses the VIC, NOAH and Catchment models. In this presentation we investigate how the differences in the dynamics of the models used in UW's GDIS, influence the drought monitoring estimates. Specifically we answer following questions: 1.What is the level of uncertainties in drought onset, severity and persistence as estimated by different hydrologic models? 2. How do the uncertainties vary spatially and seasonally? 3. What are the sources of the uncertainties?

  16. Second Harmonic Generation for time-resolved monitoring of membrane pore dynamics subserving electroporation of neurons

    PubMed Central

    Zalvidea, Dobryna; Claverol-Tinturé, Enric

    2011-01-01

    Electroporation of neurons, i.e. electric-field induced generation of membrane nanopores to facilitate internalization of molecules, is a classic technique used in basic neuroscience research and recently has been proposed as a promising therapeutic strategy in the area of neuro-oncology. To optimize electroporation parameters, optical techniques capable of delivering time and spatially-resolved information on electroporation pore formation at the nanometer scale would be advantageous. For this purpose we describe here a novel optical method based on second harmonic generation (SHG) microscopy. Due to the nonlinear and coherent nature of SHG, the 3D radiation lobes from stained neuronal membranes are sensitive to the spatial distribution of scatterers in the illuminated patch, and in particular to nanopore formation.We used phase-array analysis to computationally study the SHG signal as a function of nanopore size and nanopore population density and confirmed experimentally, in accordance with previous work, the dependence of nanopore properties on membrane location with respect to the electroporation electric field; higher nanopore densities, lasting < 5 milliseconds, are observed at membrane patches perpendicular to the field whereas lower density is observed at partly tangent locations. Differences between near-anode and near-cathode cell poles are also measured, showing higher pore densities at the anodic pole compared to cathodic pole. This technique is promising for the study of nanopore dynamics in neurons and for the optimization of novel electroporation-based therapeutic approaches. PMID:21339876

  17. Separation Monitoring with Four Types of Predictors on a Cockpit Display of Traffic Information

    NASA Technical Reports Server (NTRS)

    Jago, S.; Palmer, E.

    1982-01-01

    A clear and concise display format for use in later full mission simulator evaluation of the cockpit display of traffic information (CDTI) concept was studied. This experiment required airline pilots to monitor a CDTI and make perceptual judgments concerning the future position of a single intruder aircraft in relationship to their own aircraft (ownship). The main experimental variable was the type of predictor used to display future position of each aircraft. Predictors were referenced to the ground or to ownship and they either included turn rate information or did not. Other variables were the aircraft's separation distance when the judgment was required and the type of encounter (straight or turning). Results indicate that under these experimental conditions fewer errors were made when the predictor included turn rate information. There was little difference in overall error rate for the curved ground referenced and the ownship referenced predictors.

  18. Measuring the Informal Economy: A Validation Study of the Resource Generating Strategies Scale

    ERIC Educational Resources Information Center

    Pyles, Loretta

    2007-01-01

    Objective: This article reports on the reliability and validity of a new instrument called the Resource Generating Strategies (RGS) Scale, which was created to measure participation in the informal economy. Method: Researchers interviewed 285 adult women who had received domestic violence services, were currently incarcerated, or were residing in…

  19. Generation of artificial biometric data enhanced with contextual information for game strategy-based behavioral biometrics

    NASA Astrophysics Data System (ADS)

    Yampolskiy, Roman V.; Govindaraju, Venu

    2008-03-01

    For the domain of strategy-based behavioral biometrics we propose the concept of profiles enhanced with spatial, temporal and contextual information. Inclusion of such information leads to a more stable baseline profile and as a result more secure systems. Such enhanced data is not always readily available and often is time consuming and expensive to acquire. One solution to this problem is the use of artificially generated data. In this paper a novel methodology for creation of feature-level synthetic biometric data is presented. Specifically generation of behavioral biometric data represented by game playing strategies is demonstrated. Data validation methods are described and encouraging results are obtained with possibility of expanding proposed methodologies to generation of artificial data in the domains other then behavioral biometrics.

  20. PHYSIOLOGICAL INFORMATION FOR PAVEMENT HEALTH MONITORING BASED ON SURFACE RIDE QUALITY

    NASA Astrophysics Data System (ADS)

    Tomiyama, Kazuya; Kawamura, Akira; Takahashi, Kiyoshi; Ishida, Tateki

    Pavement ride quality testing has traditionally been based on subjective questionnaire ratings. The questionnaire survey has ability to directly measure the sense of road users' ride quality. However, it is difficult to quantify the evaluation results based on the questionnaire due to its lack of objectivity. This study examines pavement health monitoring method using physiological information such as heart rate variability (HRV) for detecting mental stress of road users toward pavement ride quality. First, a results of a driving simulator experiment shows that potential mental stress caused by road roughness can be observed in high-frequency oscillations in 0.15-0.4Hz of HRV processed by continuous wavelet transform. Then, the high-frequency oscillations of HRV is summarized as an index related to the mental stress that makes objective ride quality evaluation possible. Finally, this study indicates that the index contributes to improve the accuracy of pavement health monitoring based on surface ride quality.

  1. Citizen Science & MPA Monitoring: Informing adaptive management through enriched local knowledge systems

    NASA Astrophysics Data System (ADS)

    Meyer, R.; Freitag, A.; McGregor, A.; Whiteman, E.

    2013-12-01

    Along the California coast, a wealth of capacity exists among individuals, groups and organizations collecting scientific data. This citizen science can take many forms, from spontaneous observations of seabirds to organized surveys of nearshore reefs. Yet, as is often the case, state resource managers have struggled to find ways to access and use this scientific information in decision-making. A unique opportunity exists to alter this status-quo. California has the largest network of marine protected areas (MPAs) in the nation with more than 100 MPAs statewide. Monitoring is essential to inform adaptive management of this network. Traditionally, MPA monitoring has been the purview of academic or agency scientists. Yet, there is increasing recognition that this approach, while playing an important role, is unlikely by itself to provide a sustainable path forward. An opportunity therefore exists to understand how to sustainably and cost-effectively expand the capacity or human capital invested in monitoring and ocean stewardship. In this presentation we will share our collaborative approach to development of a new framework for incorporating citizen science into a partnerships-based portfolio of MPA monitoring in California. We will present initial findings and lessons learned from a broad review of published and gray literature, as well as reflections from interviews and participant observations with citizen science groups in the Central Coast region of California's MPA network. Through research, engagement with existing citizen science programs, and involvement of natural resource managers, we are identifying general best practices and specific opportunities for these groups to collaborate effectively, and for citizen science to play a constructive ongoing role in adaptive management of MPAs.

  2. Three-dimensional information hierarchical encryption based on computer-generated holograms

    NASA Astrophysics Data System (ADS)

    Kong, Dezhao; Shen, Xueju; Cao, Liangcai; Zhang, Hao; Zong, Song; Jin, Guofan

    2016-12-01

    A novel approach for encrypting three-dimensional (3-D) scene information hierarchically based on computer-generated holograms (CGHs) is proposed. The CGHs of the layer-oriented 3-D scene information are produced by angular-spectrum propagation algorithm at different depths. All the CGHs are then modulated by different chaotic random phase masks generated by the logistic map. Hierarchical encryption encoding is applied when all the CGHs are accumulated one by one, and the reconstructed volume of the 3-D scene information depends on permissions of different users. The chaotic random phase masks could be encoded into several parameters of the chaotic sequences to simplify the transmission and preservation of the keys. Optical experiments verify the proposed method and numerical simulations show the high key sensitivity, high security, and application flexibility of the method.

  3. Connection topology selection in central pattern generators by maximizing the gain of information.

    PubMed

    Stiesberg, Gregory R; Reyes, Marcelo Bussotti; Varona, Pablo; Pinto, Reynaldo D; Huerta, Ramón

    2007-04-01

    A study of a general central pattern generator (CPG) is carried out by means of a measure of the gain of information between the number of available topology configurations and the output rhythmic activity. The neurons of the CPG are chaotic Hindmarsh-Rose models that cooperate dynamically to generate either chaotic or regular spatiotemporal patterns. These model neurons are implemented by computer simulations and electronic circuits. Out of a random pool of input configurations, a small subset of them maximizes the gain of information. Two important characteristics of this subset are emphasized: (1) the most regular output activities are chosen, and (2) none of the selected input configurations are networks with open topology. These two principles are observed in living CPGs as well as in model CPGs that are the most efficient in controlling mechanical tasks, and they are evidence that the information-theoretical analysis can be an invaluable tool in searching for general properties of CPGs.

  4. Excimer laser fragmentation fluorescence spectroscopy for real-time monitoring of combustion generated pollutants

    NASA Astrophysics Data System (ADS)

    Damm, Christopher John

    Toxic pollutant emissions from combustion pose a hazard to public and environmental health. Better diagnostic techniques would benefit emissions monitoring programs and aid research aimed at understanding toxic pollutant formation and behavior. Excimer Laser Fragmentation Fluorescence Spectroscopy (ELFFS) provides sensitive, real-time, in situ measurements of several important combustion related pollutants. This thesis demonstrates the capabilities of ELFFS for detecting amines in combustion exhausts and carbonaceous particulate matter from engines. ELFFS photofragments target species using a 193 nm excimer laser to form fluorescent signature species. The NH (A--X) band at 336 nm is used to monitor ammonia, ammonium nitrate and ammonium sulfate. There are no major interferences in this spectral region. The sensitivity is approximately 100 ppb (1 second measurement) for ammonia in post flame gases and 100 ppb (mole fraction) for ammonium nitrate/sulfate in ambient air. Quenching of NH by the major combustion products does not limit the applicability of the detection method. Fluorescence from excited carbon atoms at 248 nm (1P 0 → 1S0) following photofragmentation measures particulate matter in a two-stroke gasoline engine and a four-stroke diesel engine. Fluorescence from CH (A2Delta → X 2pi, 431 nm) C2 (d3pig → a3piu, 468 nm) fragments is also observed. The atomic carbon fluorescence signal is proportional to the mass concentration of particles in the laser interrogation region. The 100-shot (1 second) detection limit for particles in the two-stroke gasoline engine exhaust is 0.5 ppb (volume fraction). The 100-shot detection limit for four-stroke diesel particulate matter is 0.2 ppb. Interferences from carbon monoxide and carbon dioxide are negligible. The ratios of atomic carbon, C2, and CH peaks provide information on the molecular forms of compounds condensed on or contained within the particles measured. The C/C2 signal ratio can be used to distinguish

  5. An education management information system with simultaneous monitoring of stress stimulators for students Mental Health management.

    PubMed

    Manimaran, S; Jayakumar, S; Lakshmi, K Bhagya

    2016-11-14

    Education Management Information System (EMIS) is a widely acceptable and developing technology within the Information Technology field. The advancement in technology in this century is being collaborated with scientific invention or explorer and information strengthening or development. This paper presents the results and experiences gained from applying students oriented EMIS for monitoring and managing mental health. The Mental Health of students depends on the acquiring adequate knowledge on basic concepts within a time period or academic schedule. It's obviously significance to evaluate and appraise the stress stimulators as a challenge or threat. The theoretical framework for the study was designed for analyzing the stress stimulators, academic performance and EMIS accessibility. The sample examined in this study was stratified random sample from 75 students specifically all engineering college in Dindigul District of Tamilnadu. The primary factor is the academic stress stimulators that form one module of EMIS for each of the key variable such as curriculum & instruction related stressors, placement related, teamwork related and assessment related. The Mental Health related stress stimulators namely curriculum & syllabus, placement related, assessment related and team work related have a significant influence on academic performance by students in various institution. The important factor leading to the EMIS application in monitoring stress stimulators is curriculum & syllabus related and assessment related.

  6. 76 FR 63352 - Proposed Information Collection (Health Surveillance for a New Generation of U.S. Veterans...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2011-10-12

    ... Information Collection (Health Surveillance for a New Generation of U.S. Veterans); Comment Request AGENCY... information technology. Title: Health Surveillance for a New Generation of U.S. Veterans Survey. OMB Control... Surveillance for a New Generation of U.S. Veterans survey will be used to collect data from Operation...

  7. 76 FR 78738 - Agency Information Collection (Health Surveillance for a New Generation of U.S. Veterans) Under...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2011-12-19

    ... AFFAIRS Agency Information Collection (Health Surveillance for a New Generation of U.S. Veterans) Under... INFORMATION: Title: Health Surveillance for a New Generation of U.S. Veterans Survey. OMB Control Number: OMB... Surveillance for a New Generation of U.S. Veterans survey will be used to collect data from Operation...

  8. The second generation intelligent user interface for the crustal dynamics data information system

    NASA Technical Reports Server (NTRS)

    Short, Nicholas, Jr.; Wattawa, Scott L.

    1988-01-01

    For the past decade, operations and research projects that support a major portion of NASA's overall mission have experienced a dramatic increase in the volume of generated data and resultant information that is unparalleled in the history of the agency. The effect of such an increase is that most of the science and engineering disciplines are undergoing an information glut, which has occurred, not only because of the amount, but also because of the type of data being collected. This information glut is growing exponentially and is expected to grow for the foreseeable future. Consequently, it is becoming physically and intellectually impossible to identify, access, modify, and analyze the most suitable information. Thus, the dilemma arises that the amount and complexity of information has exceeded and will continue to exceed, using present information systems, the ability of all the scientists and engineers to understand and take advantage of this information. As a result of this information problem, NASA has initiated the Intelligent Data Management (IDM) project to design and develop Advanced Information Management Systems (AIMS). The first effort of the Project was the prototyping of an Intelligent User Interface (IUI) to an operational scientific database using expert systems, natural language processing, and graphics technologies. An overview of the IUI formulation and development for the second phase is presented.

  9. Node Deployment with k-Connectivity in Sensor Networks for Crop Information Full Coverage Monitoring.

    PubMed

    Liu, Naisen; Cao, Weixing; Zhu, Yan; Zhang, Jingchao; Pang, Fangrong; Ni, Jun

    2016-12-09

    Wireless sensor networks (WSNs) are suitable for the continuous monitoring of crop information in large-scale farmland. The information obtained is great for regulation of crop growth and achieving high yields in precision agriculture (PA). In order to realize full coverage and k-connectivity WSN deployment for monitoring crop growth information of farmland on a large scale and to ensure the accuracy of the monitored data, a new WSN deployment method using a genetic algorithm (GA) is here proposed. The fitness function of GA was constructed based on the following WSN deployment criteria: (1) nodes must be located in the corresponding plots; (2) WSN must have k-connectivity; (3) WSN must have no communication silos; (4) the minimum distance between node and plot boundary must be greater than a specific value to prevent each node from being affected by the farmland edge effect. The deployment experiments were performed on natural farmland and on irregular farmland divided based on spatial differences of soil nutrients. Results showed that both WSNs gave full coverage, there were no communication silos, and the minimum connectivity of nodes was equal to k. The deployment was tested for different values of k and transmission distance (d) to the node. The results showed that, when d was set to 200 m, as k increased from 2 to 4 the minimum connectivity of nodes increases and is equal to k. When k was set to 2, the average connectivity of all nodes increased in a linear manner with the increase of d from 140 m to 250 m, and the minimum connectivity does not change.

  10. Node Deployment with k-Connectivity in Sensor Networks for Crop Information Full Coverage Monitoring

    PubMed Central

    Liu, Naisen; Cao, Weixing; Zhu, Yan; Zhang, Jingchao; Pang, Fangrong; Ni, Jun

    2016-01-01

    Wireless sensor networks (WSNs) are suitable for the continuous monitoring of crop information in large-scale farmland. The information obtained is great for regulation of crop growth and achieving high yields in precision agriculture (PA). In order to realize full coverage and k-connectivity WSN deployment for monitoring crop growth information of farmland on a large scale and to ensure the accuracy of the monitored data, a new WSN deployment method using a genetic algorithm (GA) is here proposed. The fitness function of GA was constructed based on the following WSN deployment criteria: (1) nodes must be located in the corresponding plots; (2) WSN must have k-connectivity; (3) WSN must have no communication silos; (4) the minimum distance between node and plot boundary must be greater than a specific value to prevent each node from being affected by the farmland edge effect. The deployment experiments were performed on natural farmland and on irregular farmland divided based on spatial differences of soil nutrients. Results showed that both WSNs gave full coverage, there were no communication silos, and the minimum connectivity of nodes was equal to k. The deployment was tested for different values of k and transmission distance (d) to the node. The results showed that, when d was set to 200 m, as k increased from 2 to 4 the minimum connectivity of nodes increases and is equal to k. When k was set to 2, the average connectivity of all nodes increased in a linear manner with the increase of d from 140 m to 250 m, and the minimum connectivity does not change. PMID:27941704

  11. A Technical Evaluation of Wireless Connectivity from Patient Monitors to an Anesthesia Information Management System During Intensive Care Unit Surgery.

    PubMed

    Simpao, Allan F; Galvez, Jorge A; England, W Randall; Wartman, Elicia C; Scott, James H; Hamid, Michael M; Rehman, Mohamed A; Epstein, Richard H

    2016-02-01

    Surgical procedures performed at the bedside in the neonatal intensive care unit (NICU) at The Children's Hospital of Philadelphia were documented using paper anesthesia records in contrast to the operating rooms, where an anesthesia information management system (AIMS) was used for all cases. This was largely because of logistical problems related to connecting cables between the bedside monitors and our portable AIMS workstations. We implemented an AIMS for documentation in the NICU using wireless adapters to transmit data from bedside monitoring equipment to a portable AIMS workstation. Testing of the wireless AIMS during simulation in the presence of an electrosurgical generator showed no evidence of interference with data transmission. Thirty NICU surgical procedures were documented via the wireless AIMS. Two wireless cases exhibited brief periods of data loss; one case had an extended data gap because of adapter power failure. In comparison, in a control group of 30 surgical cases in which wired connections were used, there were no data gaps. The wireless AIMS provided a simple, unobtrusive, portable alternative to paper records for documenting anesthesia records during NICU bedside procedures.

  12. Artificial intelligence system for the realtime monitoring and analysis of textural information

    SciTech Connect

    Clippinger, J.H.

    1983-01-01

    This paper describes a prototype artificial intelligence system for the monitoring, filtering, and interpretation of realtime textual information. The user sets alerts for topics of interest and the system scans, parses, and interprets the texts and triggers an alert when an appropriate topic is found. Features and limitations of the system are discussed. Syntactically directed parses were found to be too weak for unrestricted texts. An expectations directed approach using discourse and case frame semantics is proposed as a more efficient and practical alternative. 3 references.

  13. Monitoring the inundation extent of the Florida Everglades with AVHRR data in a geographic information system

    NASA Technical Reports Server (NTRS)

    Pelletier, R. E.; Dow, D. D.

    1989-01-01

    The purpose of the study is to develop a geographical information system capable of estimating methane and other greenhouse trace-gas fluxes from the wetlands of the Florida Everglades. Advanced very-high-resolution radiometer (AVHRR) data collected on a near-monthly basis for a year in order to monitor the seasonal dynamics of inundation extent across the Everglades is utilized in the analysis. It is noted that AVHRR data presents advantages over other remote-sensing data sources employed in covering large geographical regions due to its daily coverage with multiple opportunities during a day. This temporal resolution allows the realistic expectation of acquiring data on a frequent basis.

  14. Development and Application of a Next Generation Air Sensor Network for the Hong Kong Marathon 2015 Air Quality Monitoring

    PubMed Central

    Sun, Li; Wong, Ka Chun; Wei, Peng; Ye, Sheng; Huang, Hao; Yang, Fenhuan; Westerdahl, Dane; Louie, Peter K.K.; Luk, Connie W.Y.; Ning, Zhi

    2016-01-01

    This study presents the development and evaluation of a next generation air monitoring system with both laboratory and field tests. A multi-parameter algorithm was used to correct for the impact of environmental conditions on the electrochemical sensors for carbon monoxide (CO) and nitrogen dioxide (NO2) pollutants. The field evaluation in an urban roadside environment in comparison to designated monitors showed good agreement with measurement error within 5% of the pollutant concentrations. Multiple sets of the developed system were then deployed in the Hong Kong Marathon 2015 forming a sensor-based network along the marathon route. Real-time air pollution concentration data were wirelessly transmitted and the Air Quality Health Index (AQHI) for the Green Marathon was calculated, which were broadcast to the public on an hourly basis. The route-specific sensor network showed somewhat different pollutant patterns than routine air monitoring, indicating the immediate impact of traffic control during the marathon on the roadside air quality. The study is one of the first applications of a next generation sensor network in international sport events, and it demonstrated the usefulness of the emerging sensor-based air monitoring technology in rapid network deployment to supplement existing air monitoring. PMID:26861336

  15. Development and Application of a Next Generation Air Sensor Network for the Hong Kong Marathon 2015 Air Quality Monitoring.

    PubMed

    Sun, Li; Wong, Ka Chun; Wei, Peng; Ye, Sheng; Huang, Hao; Yang, Fenhuan; Westerdahl, Dane; Louie, Peter K K; Luk, Connie W Y; Ning, Zhi

    2016-02-05

    This study presents the development and evaluation of a next generation air monitoring system with both laboratory and field tests. A multi-parameter algorithm was used to correct for the impact of environmental conditions on the electrochemical sensors for carbon monoxide (CO) and nitrogen dioxide (NO2) pollutants. The field evaluation in an urban roadside environment in comparison to designated monitors showed good agreement with measurement error within 5% of the pollutant concentrations. Multiple sets of the developed system were then deployed in the Hong Kong Marathon 2015 forming a sensor-based network along the marathon route. Real-time air pollution concentration data were wirelessly transmitted and the Air Quality Health Index (AQHI) for the Green Marathon was calculated, which were broadcast to the public on an hourly basis. The route-specific sensor network showed somewhat different pollutant patterns than routine air monitoring, indicating the immediate impact of traffic control during the marathon on the roadside air quality. The study is one of the first applications of a next generation sensor network in international sport events, and it demonstrated the usefulness of the emerging sensor-based air monitoring technology in rapid network deployment to supplement existing air monitoring.

  16. Implementation, monitoring and utilization of an integrated Hospital Information System--lessons from a case study.

    PubMed

    Cruz-Correia, Ricardo João

    2010-01-01

    In most hospitals several heterogeneous Information Systems (IS) store parts of a still scattered patient record. Virtual Patient Records (VPR) are systems that aggregate known data elements about the patient from different IS in real-time. This papers aims to present the main lessons learned from the implementation and the usage during 6 years of a VPR system. Ten major lessons were divided in recommendations for software developers, information managers and institutional policy makers. Implementing and using a VPR is a difficult journey but can generate great value for the institution if most of these recommendations are taken in consideration.

  17. Mutual Information in the Air Quality Monitoring Network of Bogota - Colombia

    NASA Astrophysics Data System (ADS)

    Guerrero, O. J.; Jimenez-Pizarro, R.

    2012-12-01

    Large urban areas in the developing world are characterized by high population density and a great variety of activities responsible for emission of trace gases and particulate matter to the atmosphere. In general, these pollutants are unevenly distributed over cities according to the location of sources, meteorological variability and geographical features. Urban air quality monitoring networks are primarily designed to protect public health. The meteorological and air quality information gathered by monitoring networks can also be used to understand pollutant sources, sinks, and dispersion processes and to assess the spatial coverage of the network itself. Several statistical and numerical simulation methods allow for the identification of the domain that influences observations at each of the stations, i.e, the zone and respective population truly covered by the measurements. We focused on Bogota, Colombia, a dense city of approximately 9.6 million inhabitants in its metropolitan area. We analyzed the measurements obtained by the Bogotá Air Quality Monitoring Network (RMCAB) between the years 1997 and 2010 for TSP, PM10, CO, NOx and O3. RMCAB is composed of 16 stations, 13 of which are fixed and measure both atmospheric pollutants and meteorological variables. The method applied consisted of a statistical approach based on the mutual information that each station shares with its complement, i.e. the set formed by the other stations of the network. In order to improve our understanding and interpretation of the results, virtual data created for selected receptors along a simple modeled Gaussian plume spreading throughout Bogotá was analyzed. In this Gaussian model, we accounted for the prevailing weather conditions of this city and for different emission features under which the pollutants are emitted. The spatial location of the monitoring stations and emission sources, and the quality of the measurements are relevant factors when assessing the mutual

  18. Monitoring the chemistry and materials of the Magma binary-cycle generating plant

    SciTech Connect

    Shannon, D.W.; Elmore, R.P.; Pierce, D.D.

    1981-10-01

    This monitoring program includes studies of the following areas: chemistry of the geothermal brine, chemistry of the cooling water, corrosion of materials in both water systems, scale formation, suspended solids in th brine, and methods and instruments to monitor corrosion and chemistry. (MHR)

  19. A Concept for Continuous Monitoring that Reduces Redundancy in Information Assurance Processes

    DTIC Science & Technology

    2011-09-01

    Defense DAA Designated Accrediting Authority DATO Denial of Authorization to Operate DIACAP DoD Information Assurance Certification and...SFS) Program. This material is based on work supported by the National Science Foundation under Grant DUE-0414102. To Professor Cynthia Irvine, the...organization-specific registration tasks are performed. The baseline IA controls are generated from the DoDI 8500.2 based on the type and category

  20. The Valence of Self-Generated (Status Updates) and Other-Generated (Wall-Posts) Information Determines Impression Formation on Facebook.

    PubMed

    Rosenthal-Stott, Harriet E S; Dicks, Rea E; Fielding, Lois S

    2015-01-01

    We examined whether self-generated (status updates) or other-generated (wall-posts) information on Facebook influenced the impression formed of the target individual. Along with examining reliance on particular types of information, we explored the valence (positive/ neutral/ negative) of the information, as reliance on self-generated or other-generated information may depend on whether self-presentation is perceived (i.e., presenting oneself positively / not negatively). Self-presentation may be perceived if the targets have positive/ neutral statuses, while negative statuses would indicate a lack of self-presentation. In line with previous research, participants should rely on other-generated information (wall-posts) to form an impression when participants are viewed to have self-presented (positive / neutral status updates), as this information could be viewed as unreliable. Forty participants rated nine Facebook profiles where statuses and wall-posts portrayed personality traits varying in valence. Each profile consisted of a neutral profile photo, three status updates (all positive, negative, or neutral) and three wall-posts (all positive, negative, or neutral). Materials were established in two pilots. Impression formation was measured as perceived social, task, and physical attractiveness of the target individual. Participants also ranked the profiles for likeability. Supporting our expectations, other-generated information (wall-posts) dominated impression formation for social attractiveness when self-generated information (status updates) was positive/ neutral. Task attractiveness was affected by information valence, regardless of source (self or other). Despite the inclusion of neutral photos, physical attractiveness was affected by self-generated information, with negative statuses lowering physical attractiveness. We suggest that these findings have implications for impression formation beyond the Facebook setting. The 557 traits analyzed in Pilot 1 are

  1. The Valence of Self-Generated (Status Updates) and Other-Generated (Wall-Posts) Information Determines Impression Formation on Facebook

    PubMed Central

    Rosenthal-Stott, Harriet E. S.; Dicks, Rea E.; Fielding, Lois S.

    2015-01-01

    We examined whether self-generated (status updates) or other-generated (wall-posts) information on Facebook influenced the impression formed of the target individual. Along with examining reliance on particular types of information, we explored the valence (positive/ neutral/ negative) of the information, as reliance on self-generated or other-generated information may depend on whether self-presentation is perceived (i.e., presenting oneself positively / not negatively). Self-presentation may be perceived if the targets have positive/ neutral statuses, while negative statuses would indicate a lack of self-presentation. In line with previous research, participants should rely on other-generated information (wall-posts) to form an impression when participants are viewed to have self-presented (positive / neutral status updates), as this information could be viewed as unreliable. Forty participants rated nine Facebook profiles where statuses and wall-posts portrayed personality traits varying in valence. Each profile consisted of a neutral profile photo, three status updates (all positive, negative, or neutral) and three wall-posts (all positive, negative, or neutral). Materials were established in two pilots. Impression formation was measured as perceived social, task, and physical attractiveness of the target individual. Participants also ranked the profiles for likeability. Supporting our expectations, other-generated information (wall-posts) dominated impression formation for social attractiveness when self-generated information (status updates) was positive/ neutral. Task attractiveness was affected by information valence, regardless of source (self or other). Despite the inclusion of neutral photos, physical attractiveness was affected by self-generated information, with negative statuses lowering physical attractiveness. We suggest that these findings have implications for impression formation beyond the Facebook setting. The 557 traits analyzed in Pilot 1 are

  2. Automatic generation of stop word lists for information retrieval and analysis

    DOEpatents

    Rose, Stuart J

    2013-01-08

    Methods and systems for automatically generating lists of stop words for information retrieval and analysis. Generation of the stop words can include providing a corpus of documents and a plurality of keywords. From the corpus of documents, a term list of all terms is constructed and both a keyword adjacency frequency and a keyword frequency are determined. If a ratio of the keyword adjacency frequency to the keyword frequency for a particular term on the term list is less than a predetermined value, then that term is excluded from the term list. The resulting term list is truncated based on predetermined criteria to form a stop word list.

  3. Scalability analysis of three monitoring and information systems : MDS2, R-GMA, and Hawkeye.

    SciTech Connect

    Zhang, X.; Freschl, J. L.; Schopf, J. M.; Mathematics and Computer Science; Univ. of Chicago; Univ. of Wisconsin at Madison

    2007-08-01

    Monitoring and information system (MIS) implementations provide data about available resources and services within a distributed system, or Grid. A comprehensive performance evaluation of an MIS can aid in detecting potential bottlenecks, advise in deployment, and help improve future system development. In this paper, we analyze and compare the performance of three implementations in a quantitative manner: the Globus Toolkit Monitoring and Discovery Service (MDS2), the European DataGrid Relational Grid Monitoring Architecture (R-GMA), and the Condor project's Hawkeye. We use the NetLogger toolkit to instrument the main service components of each MIS and conduct four sets of experiments to benchmark their scalability with respect to the number of users, the number of resources, and the amount of data collected. Our study provides quantitative measurements comparable across all systems. We also find performance bottlenecks and identify how they relate to the design goals, underlying architectures, and implementation technologies of the corresponding MIS, and we present guidelines for deploying MISs in practice.

  4. Clarification of the Use of Biological Data and Information in the 2002 Integrated Water Quality Monitoring and Assessment Report Guidance

    EPA Pesticide Factsheets

    The memorandum modifies the 2002 Integrated Water Quality Monitoring and Assessment Report Guidance to provide clarity and promote consistency in the manner in which states use biological data and information in developing their 2002 submissions.

  5. Supporting work practices, improving patient flow and monitoring performance using a clinical information management system.

    PubMed

    Poulos, Christopher J; Gazibarich, Boris M; Eagar, Kathy

    2007-04-01

    Providing information technology solutions to clinicians to support their work practices benefits clinicians, administrators and patients. We present our 8-year experience with an inexpensive information management system which provides clinical and business process support for clinicians and bed managers. The system has been used by an area rehabilitation and aged care service to manage inpatient consultations and patient flow across nine hospitals. Performance monitoring of the time from referral to consultation, the number, type and outcome of consultations, and the time taken to access a rehabilitation or subacute bed is also provided. Read-only access to the system for clinicians and bed managers outside the rehabilitation and aged care service allows greater transparency.

  6. Information integration for environmental monitoring and assessment: An annotated bibliography. Professional paper

    SciTech Connect

    Rajagopal, R.; Natarajan, U.; Wacker, J.

    1992-01-01

    Annual federal and state investments in the collection, storage, and maintenance of resource and environmental data are enormous (estimated in the range of a few to tens of billions of dollars). Despite these investments, the use of information from these databases for societal endpoints has been limited. Further research to evaluate the utility of large environmental databases in the analysis of selected scientific and regulatory questions therefore would be timely. The primary purpose of the paper is to provide an annotated review of selected literature on the topic of information integration in the context of environmental monitoring and assessment. Based on a review of this literature, significant scholarly contributions to this field have been identified as falling into the following four issue areas: institutional, resource/ecological, design, and technological. The publications are grouped, indexed, associated with keywords and organized under these four major issue areas.

  7. Wire bonding quality monitoring via refining process of electrical signal from ultrasonic generator

    NASA Astrophysics Data System (ADS)

    Feng, Wuwei; Meng, Qingfeng; Xie, Youbo; Fan, Hong

    2011-04-01

    In this paper, a technique for on-line quality detection of ultrasonic wire bonding is developed. The electrical signals from the ultrasonic generator supply, namely, voltage and current, are picked up by a measuring circuit and transformed into digital signals by a data acquisition system. A new feature extraction method is presented to characterize the transient property of the electrical signals and further evaluate the bond quality. The method includes three steps. First, the captured voltage and current are filtered by digital bandpass filter banks to obtain the corresponding subband signals such as fundamental signal, second harmonic, and third harmonic. Second, each subband envelope is obtained using the Hilbert transform for further feature extraction. Third, the subband envelopes are, respectively, separated into three phases, namely, envelope rising, stable, and damping phases, to extract the tiny waveform changes. The different waveform features are extracted from each phase of these subband envelopes. The principal components analysis (PCA) method is used for the feature selection in order to remove the relevant information and reduce the dimension of original feature variables. Using the selected features as inputs, an artificial neural network (ANN) is constructed to identify the complex bond fault pattern. By analyzing experimental data with the proposed feature extraction method and neural network, the results demonstrate the advantages of the proposed feature extraction method and the constructed artificial neural network in detecting and identifying bond quality.

  8. A web accessible scientific workflow system for transparent and reproducible generation of information on subsurface processes from autonomously sensed data

    NASA Astrophysics Data System (ADS)

    Versteeg, R.; Richardson, A.; Thomas, S.; Lu, B.; Neto, J.; Wheeler, M.; Rowe, T.; Parashar, M.; Ankeny, M.

    2005-12-01

    Information on subsurface processes is required for a broad range of applications, including site remediation, groundwater management, fossil fuel production and CO2 sequestration. Data on these processes is obtained from diverse sensor networks, includes physical, hydrological and chemical sensors and semi permanent geophysical sensors (mainly seismic and resistivity). Currently, processing is done by specialists through the use of commercial and research software packages such as numerical inverse and forward models, statistical data analysis software and visualization and data presentation packages. Information is presented to stakeholders as tables, images and reports. Processing steps, data and assumptions used for information generation are mostly opaque to endusers. As data migrates between applications the steps taken in each application (e.g. in data reduction)are often only partly documented, resulting in irreproducible results. In this approach, interactive tuning of data processing in a systematic way (e.g. changing model parameters, visualization parameters or data used) or using data processing as a discovery tool is de facto impossible. We implemented a web accessible scientific workflow system for subsurface performance monitoring. This system integrates distributed, automated data acquisition from autonomous sensor networks with server side data management and information visualization through flexible browser based data access tools. Webservices are used for communication with the sensor networks and interaction with applications. This system was originally developed for a monitoring network at the Gilt Edge Mine Superfund site, but has now been implemented for a range of different sensor networks of different complexity. The workflow framework allows for rapid and easy integration in a modular, transparent and reproducible manner of a multitude of existing applications for data analysis and processes. By embedding applications in webservice

  9. Integrated monitoring and information systems for managing aquatic invasive species in a changing climate

    USGS Publications Warehouse

    Lee, Henry; Reusser, Deborah A.; Olden, Julian D.; Smith, Scott S.; Graham, Jim; Burkett, Virginia; Dukes, Jeffrey S.; Piorkowski, Robert J.; Mcphedran, John

    2008-01-01

    Changes in temperature, precipitation, and other climatic drivers and sea-level rise will affect populations of existing native and non-native aquatic species and the vulnerability of aquatic environments to new invasions. Monitoring surveys provide the foundation for assessing the combined effects of climate change and invasions by providing baseline biotic and environmental conditions, although the utility of a survey depends on whether the results are quantitative or qualitative, and other design considerations. The results from a variety of monitoring programs in the United States are available in integrated biological information systems, although many include only non-native species, not native species. Besides including natives, we suggest these systems could be improved through the development of standardized methods that capture habitat and physiological requirements and link regional and national biological databases into distributed Web portals that allow drawing information from multiple sources. Combining the outputs from these biological information systems with environmental data would allow the development of ecological-niche models that predict the potential distribution or abundance of native and non-native species on the basis of current environmental conditions. Environmental projections from climate models can be used in these niche models to project changes in species distributions or abundances under altered climatic conditions and to identify potential high-risk invaders. There are, however, a number of challenges, such as uncertainties associated with projections from climate and niche models and difficulty in integrating data with different temporal and spatial granularity. Even with these uncertainties, integration of biological and environmental information systems, niche models, and climate projections would improve management of aquatic ecosystems under the dual threats of biotic invasions and climate change

  10. Information technology and data management issues for health monitoring of the Commodore Barry Bridge

    NASA Astrophysics Data System (ADS)

    Kulcu, Eray; Qin, Xiaoli; Barrish, Raymond A., Jr.; Aktan, A. Emin

    2000-06-01

    Information technology issues for the continuous health monitoring of the Commodore Barry Bridge will be presented in two parts in this paper. The first part describes data acquisition design and the second part discusses issues related to a proposed database. Currently, the health monitor consists of more than one hundred channels of information. These channels are made up of slow speed strain gages (measuring intrinsic strains due to environmental effects, temperature changes and wind loads), high-speed strain gages (measuring strains and accelerations related to traffic effects) and one camera (recording images of the traffic pattern at the bridge). These gages are hard-wired to a central data acquisition station in which three slow speed data acquisition systems, one high-speed data acquisition system and a data acquisition computer are located. All data acquisition systems are integrated under the LabVIEW platform. It was necessary to utilize various appropriate sampling frequencies for each system due to the differing nature of the phenomena being measured by each system. The data is post- processed subsequent to acquisition and finally the data is stored and archived. Post-processing algorithms are implemented to eliminate any noise component from the data, complete any necessary signal re-sampling, and to synchronize the collection times of the different data collection systems. Once the data is transferred and archived data analysis can begin. The creation of a database for storage of all pertinent information is envisioned as a future add-on to this project. Two possible versions of the database system are currently being investigated. In the end, the database would allow users to retrieve information according to customized query criteria. It would also allow users to navigate raw data, preview data graphs, extract specified information (such as analytical data, reports, images, video clips and CBB CAD models), save the retrieved data to a local computer

  11. Satellite-based climate information within the WMO RA VI Regional Climate Centre on Climate Monitoring

    NASA Astrophysics Data System (ADS)

    Obregón, A.; Nitsche, H.; Körber, M.; Kreis, A.; Bissolli, P.; Friedrich, K.; Rösner, S.

    2014-05-01

    The World Meteorological Organization (WMO) established Regional Climate Centres (RCCs) around the world to create science-based climate information on a regional scale within the Global Framework for Climate Services (GFCS). The paper introduces the satellite component of the WMO Regional Climate Centre on Climate Monitoring (RCC-CM) for Europe and the Middle East. The RCC-CM product portfolio is based on essential climate variables (ECVs) as defined by the Global Climate Observing System (GCOS), spanning the atmospheric (radiation, clouds, water vapour) and terrestrial domains (snow cover, soil moisture). In the first part, the input data sets are briefly described, which are provided by the EUMETSAT (European Organisation for the Exploitation of Meteorological Satellites) Satellite Application Facilities (SAF), in particular CM SAF, and by the ESA (European Space Agency) Climate Change Initiative (CCI). In the second part, the derived RCC-CM products are presented, which are divided into two groups: (i) operational monitoring products (e.g. monthly means and anomalies) based on near-real-time environmental data records (EDRs) and (ii) climate information records (e.g. climatologies, time series, trend maps) based on long-term thematic climate data records (TCDRs) with adequate stability, accuracy and homogeneity. The products are provided as maps, statistical plots and gridded data, which are made available through the RCC-CM website (www.dwd.de/rcc-cm).

  12. Development and Implementation of Flood Risk Mapping, Water Bodies Monitoring and Climate Information for Human Health

    NASA Astrophysics Data System (ADS)

    Ceccato, P.; McDonald, K. C.; Jensen, K.; Podest, E.; De La Torre Juarez, M.

    2013-12-01

    Public health professionals are increasingly concerned about the potential impact that climate variability and change can have on infectious disease. The International Research Institute for Climate and Society (IRI), City College of New York (CCNY) and NASA Jet Propulsion Laboratory (JPL) are developing new products to increase the public health community's capacity to understand, use, and demand the appropriate climate data and climate information to mitigate the public health impacts of climate on vector-borne diseases such as malaria, leishmaniasis, rift valley fever. In this poster we present the new and improved products that have been developed for monitoring water bodies for monitoring and forecasting risks of vector-borne disease epidemics. The products include seasonal inundation patterns in the East African region based on the global mappings of inundated water fraction derived at the 25-km scale from both active and passive microwave instruments QuikSCAT, AMSR-E, SSM/I, ERS, ASCAT, and MODIS and LANDSAT data. We also present how the products are integrated into a knowledge system (IRI Data Library Map room, SERVIR) to support the use of climate and environmental information in climate-sensitive health decision-making.

  13. Radiation Exposure Monitoring and Information Transmittal (REMIT) system. User`s manual

    SciTech Connect

    Cale, R.; Clark, T.; Dixson, R.; Hagemeyer, D.

    1993-06-01

    The Radiation Exposure Monitoring and Information Transmittal (REMIT) system is designed to assist US Nuclear Regulatory Commission (NRC)licensees in meeting the reporting requirements of the revised 10 CFR 20 and in agreement with the guidance contained in R.G. 8.7, Rev. 1, ``Instructions for Recording and Reporting Occupational Exposure Data.`` REMIT is a personal computer (PC) based menu driven system that facilitates the manipulation of data base files to record and report radiation exposure information. REMIT is designed to be user-friendly and contains the full text of R. G. 8.7, Rev. 1, on-line as well as context-sensitive help throughout the program. The user can enter data directly from NRC Forms 4 or 5, REMIT allows the user to view the individual`s exposure in relation to regulatory or administrative limits and alerts the user to exposures in excess of these limits. The system also provides for the calculation and summation of dose from intakes and the determination of the dose to the maximally exposed extremity for the monitoring year. REMIT can produce NRC Forms 4 and 5 in paper and electronic format and can import/export data from ASCII and data base files.

  14. Online integrated solution to collect data, generate information and manage events in the human biomonitoring field.

    PubMed

    Reis, M Fátima; Tedim, João; Aguiar, Pedro; Miguel, J Pereira; Casteleyn, Ludwine; Joas, Reinhard; Van Tongelen, Birgit

    2007-05-01

    In the ambit of Work Package 1 of the ESBIO Project, an online integrated solution to collect data, to generate information, and to manage mainly information-sharing events related with human biomonitoring within Europe has been designed and is being implemented. The present paper summarises the methodological approaches used by the authors as proposers, general promoters and disseminators of this strategic concept, as well as the first outcomes and future actions to be taken, in the short and longer term, to face present and future challenges to make this innovative solution happen.

  15. Using Distributed Continuous Turbidity Monitoring to Inform Sediment and Sediment-bound Nutrient Budgets

    NASA Astrophysics Data System (ADS)

    Rizzo, D.; Hamshaw, S. D.; Underwood, K. L.; Wemple, B. C.; Dewoolkar, M.

    2014-12-01

    The State of Vermont is experiencing changing hydrological regimes due to increased precipitation resulting from climate change. Understanding the impacts this change may cause to river corridors and the water quality of receiving waters is a critical need. Estimating the loading of sediment and sediment-bound nutrients such as phosphorous from various sources is a key aspect. In particular, the proportion attributable to main stem bank erosion is of concern as it is suspected to be a significant source in river basins in the Northeast. Sediment and nutrient budgets have been utilized for many years to provide a conceptual framework for proportioning loading to different sources. In this study, a continuous turbidity monitoring station network informs the creation of a watershed sediment budget in a small watershed. Monitoring stations placed on select upstream tributaries as well as the downstream watershed outlet are used to characterize overall watershed yield as well as loading to the main stem from tributaries. Analysis of differential unit area loading from tributary and downstream monitoring sites estimate the proportion of the overall watershed sediment yield that could be attributed to main stem bank erosion. Regression models of suspended sediment and total phosphorous enable the quantification of sediment-bound phosphorous loadings from stream banks. To characterize loadings and overall watershed sediment and nutrient yields, a probabilistic framework is created using a Bayesian approach that enables updating of continuously-collected data and provides estimates of uncertainty resulting in credible ranges of sediment and phosphorous loading. These sediment and nutrient budget estimates along with their associated uncertainties help inform water resource managers of loading sources and enable prioritization of mitigation efforts.

  16. Monitoring small land subsidence phenomena in the Marmara see region by new SAR generation satellite ESA Sentinel 1

    NASA Astrophysics Data System (ADS)

    Cantone, Alessio; Riccardi, Paolo; Pasquali, Paolo; Defilippi, Marco; Peternier, Achille

    2015-04-01

    The Marmara see region is a large and dense urbanized area affected by tectonics deformations due to the presence of the underlying North Anatolia Fault. This area is affected by strong seismic phenomena (Izmith and Duzce earthquake), and by landslide and small surface deformation. The new generation ESA SAR satellites Copernicus Sentinel-1 system TOPS (Terrain Observation with Progressive Scans in azimuth) permit a short acquisition repetition cycle, an extreme large coverage, a high spatial resolution to respect the covered area and a small baseline separation. All of those characteristics suggest an intensive exploitation of these data through the usage of the interferometry technology and in particular the stacking interferometry for the small terrain displacement monitoring. The Sentinel-1 mission is made up of a constellation of two satellites (A and B units) each carrying a C-band SAR sensor. The objective of the S-1 mission is to acquire systematically with a 12-day repeat orbit cycle for each satellite with a small orbital baselines, characteristics particularly suited for interferometry application. In the near future, when both satellites will be active, there will be an acquisition every 6 days, covering the whole area. The first TOPSAR interferogram has been successfully produced, and the SARScape® stacking processing chains (SBAS and PSI) have been update to support this new sensor. The SBAS (Small Baseline) technique seems to be the best candidate for this application relatively to the morphology and large extension of Marmara region. Moreover the new incremental SBAS will permit a velocity map (at about 25 meters spatial resolution) estimation at near real time at each Sentinel-1 acquisition. We are collecting imaging over the Marmara since October 2014 within the framework of European FP7 Marsite project. In February-March 2015 we will have enough acquisition to perform the first SBAS TOPSAR monitoring of this area. The SBAS processing chain has

  17. Wigner-Yanase skew information and entanglement generation in quantum measurement

    NASA Astrophysics Data System (ADS)

    Banik, Manik; Deb, Prasenjit; Bhattacharya, Samyadeb

    2017-04-01

    The first step of quantum measurement procedure is known as premeasurement, during which correlation is established between the system and the measurement apparatus. Such correlation may be classical or nonclassical in nature. One compelling nonclassical correlation is entanglement, a useful resource for various quantum information theoretic protocols. Quantifying the amount of entanglement, generated during quantum measurement, therefore, seeks importance from practical ground, and this is the central issue of the present paper. Interestingly, for a two-level quantum system, we obtain that the amount of entanglement, measured in term of negativity, generated in premeasurement process can be quantified by two factors: skew information, which quantifies the uncertainty in the measurement of an observable not commuting with some conserved quantity of the system, and mixedness parameter of the system's initial state.

  18. Informing the next nuclear generation - how does the Ginna plant branch do it?

    SciTech Connect

    Saavedra, A.

    1995-12-31

    Most of us are familiar with the latest advertising phrase, ``Our children are our future.`` This phrase has been used in so many instances - from concerns about waste, Social Security, and the federal deficit to drug abuse and violence. One more area can be added to the list and advertised nuclear power. Since the establishment of the Ginna plant branch (GPB) in 1992, our target audience has been the next nuclear generation (our children), but our vehicle for dissemination has been the current generation (the adults). Have you ever thought about how often your opinions affect the children you come in contact with? One of GPB`s goals is to provide as much information as possible to teachers, neighbors, and civic organizations of our community so that there is a nuclear future that can be carried on by the next generation.

  19. Diversity and Inclusion in Information Technology from an Age Perspective: Motivating and Managing Information Technology Professionals across Multiple Generations in the Workforce

    ERIC Educational Resources Information Center

    Kenan-Smalls, Yottie Marie

    2011-01-01

    The purpose of this quantitative study was to investigate diversity and inclusion from an age perspective among information technology (IT) professionals that were categorized as 4 different generations in the workforce today: Traditionalists, Baby Boomers, Generation X, and Generation Y. At the same time, this study sought to examine motivational…

  20. Toward the next generation of air quality monitoring: Persistent organic pollutants

    NASA Astrophysics Data System (ADS)

    Hung, Hayley; MacLeod, Matthew; Guardans, Ramon; Scheringer, Martin; Barra, Ricardo; Harner, Tom; Zhang, Gan

    2013-12-01

    Persistent Organic Pollutants (POPs) are global pollutants that can migrate over long distances and bioaccumulate through food webs, posing health risks to wildlife and humans. Multilateral environmental agreements, such as the Stockholm Convention on POPs, were enacted to identify POPs and establish the conditions to control their release, production and use. A Global Monitoring Plan was initiated under the Stockholm Convention calling for POP monitoring in air as a core medium; however long temporal trends (>10 years) of atmospheric POPs are only available at a few selected sites. Spatial coverage of air monitoring for POPs has recently significantly improved with the introduction and advancement of passive air samplers. Here, we review the status of air monitoring and modeling activities and note major uncertainties in data comparability, deficiencies of air monitoring and modeling in urban and alpine areas, and lack of emission inventories for most POPs. A vision for an internationally-integrated strategic monitoring plan is proposed which could provide consistent and comparable monitoring data for POPs supported and supplemented by global and regional transport models. Key recommendations include developing expertise in all aspects of air monitoring to ensure data comparability and consistency; partnering with existing air quality and meteorological networks to leverage synergies; facilitating data sharing with international data archives; and expanding spatial coverage with passive air samplers. Enhancing research on the stability of particle-bound chemicals is needed to assess exposure and deposition in urban areas, and to elucidate long-range transport. Conducting targeted measurement campaigns in specific source areas would enhance regional models which can be extrapolated to similar regions to estimate emissions. Ultimately, reverse-modeling combined with air measurements can be used to derive “emission” as an indicator to assess environmental

  1. Approaches to informed consent for hypothesis-testing and hypothesis-generating clinical genomics research

    PubMed Central

    2012-01-01

    Background Massively-parallel sequencing (MPS) technologies create challenges for informed consent of research participants given the enormous scale of the data and the wide range of potential results. Discussion We propose that the consent process in these studies be based on whether they use MPS to test a hypothesis or to generate hypotheses. To demonstrate the differences in these approaches to informed consent, we describe the consent processes for two MPS studies. The purpose of our hypothesis-testing study is to elucidate the etiology of rare phenotypes using MPS. The purpose of our hypothesis-generating study is to test the feasibility of using MPS to generate clinical hypotheses, and to approach the return of results as an experimental manipulation. Issues to consider in both designs include: volume and nature of the potential results, primary versus secondary results, return of individual results, duty to warn, length of interaction, target population, and privacy and confidentiality. Summary The categorization of MPS studies as hypothesis-testing versus hypothesis-generating can help to clarify the issue of so-called incidental or secondary results for the consent process, and aid the communication of the research goals to study participants. PMID:23046515

  2. Detection and monitoring of axial cracks on cylindrical structures using torsional wave generated by piezoelectric macro-fiber composite

    NASA Astrophysics Data System (ADS)

    Cui, Lin; Lim, Say Ian; Shi, Miao; Liu, Yu; Soh, Chee Kiong

    2012-04-01

    In cylindrical structures such as pipelines and pressure vessels, cracks are most likely to occur along the longitudinal (axial) direction and they can be fatal to the serviceability of the structures. Unfortunately, the conventional ultrasonic crack detection techniques, which usually use longitudinal wave, are not very sensitive to this type of cracks. This paper focuses on the detection and monitoring of axial cracks in cylindrical structures using torsional wave generated by piezoelectric macro-fiber composite (MFC). The first order torsional wave is a kind of non-dispersive pure shear wave which propagates at a fixed wave speed. Torsional wave is utilized in this work because, intuitively, it is more sensitive to axial cracks than the family of longitudinal waves. Numerical simulation has been performed using ANSYS to show the effectiveness of torsional wave in detecting and monitoring axial cracks. The time of flight (TOF) of the waves is used to determine the crack position, while the crack propagation is monitored by measuring the variation in the crack induced disturbances. Experiments have also been conducted to investigate the feasibility of the proposed method. MFC transducers oriented at 45° against the axis of the specimen are used to generate and receive torsional waves. The experimental results demonstrated that the crack position can be indentified and its growth can be well monitored with the presented approach using torsional wave.

  3. Generating information-rich high-throughput experimental materials genomes using functional clustering via multitree genetic programming and information theory.

    PubMed

    Suram, Santosh K; Haber, Joel A; Jin, Jian; Gregoire, John M

    2015-04-13

    High-throughput experimental methodologies are capable of synthesizing, screening and characterizing vast arrays of combinatorial material libraries at a very rapid rate. These methodologies strategically employ tiered screening wherein the number of compositions screened decreases as the complexity, and very often the scientific information obtained from a screening experiment, increases. The algorithm used for down-selection of samples from higher throughput screening experiment to a lower throughput screening experiment is vital in achieving information-rich experimental materials genomes. The fundamental science of material discovery lies in the establishment of composition-structure-property relationships, motivating the development of advanced down-selection algorithms which consider the information value of the selected compositions, as opposed to simply selecting the best performing compositions from a high throughput experiment. Identification of property fields (composition regions with distinct composition-property relationships) in high throughput data enables down-selection algorithms to employ advanced selection strategies, such as the selection of representative compositions from each field or selection of compositions that span the composition space of the highest performing field. Such strategies would greatly enhance the generation of data-driven discoveries. We introduce an informatics-based clustering of composition-property functional relationships using a combination of information theory and multitree genetic programming concepts for identification of property fields in a composition library. We demonstrate our approach using a complex synthetic composition-property map for a 5 at. % step ternary library consisting of four distinct property fields and finally explore the application of this methodology for capturing relationships between composition and catalytic activity for the oxygen evolution reaction for 5429 catalyst compositions in a

  4. 78 FR 58269 - Notice of Request for Approval of an Information Collection; National Animal Health Monitoring...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-09-23

    ...; National Animal Health Monitoring System; Bison 2014 Study AGENCY: Animal and Plant Health Inspection...: National Animal Health Monitoring System; Bison 2014 Study. OMB Number: 0579-XXXX. Type of Request..., APHIS operates the National Animal Health Monitoring System (NAHMS), which collects...

  5. 78 FR 58268 - Notice of Request for Approval of an Information Collection; National Animal Health Monitoring...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-09-23

    ...; National Animal Health Monitoring System; Cervid 2014 Study AGENCY: Animal and Plant Health Inspection...: National Animal Health Monitoring System; Cervid 2014 Study. OMB Number: 0579-XXXX. Type of Request..., APHIS operates the National Animal Health Monitoring System (NAHMS), which collects...

  6. 78 FR 55060 - Proposed Information Collection; Comment Request; Expanded Vessel Monitoring System Requirement...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-09-09

    ... Vessel Monitoring System Requirement in the Pacific Coast Groundfish Fishery AGENCY: National Oceanic and... commercial fishing vessels are required to install and use a vessel monitoring system (VMS)...

  7. 77 FR 26513 - Proposed Information Collection; Comment Request; Southeast Region Vessel Monitoring System (VMS...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2012-05-04

    ... Region Vessel Monitoring System (VMS) and Related Requirements AGENCY: National Oceanic and Atmospheric... of Mexico under the Reef Fish Fishery Management Plan (FMP). The vessel monitoring system...

  8. A methodology for hard/soft information fusion in the condition monitoring of aircraft

    NASA Astrophysics Data System (ADS)

    Bernardo, Joseph T.

    2013-05-01

    Condition-based maintenance (CBM) refers to the philosophy of performing maintenance when the need arises, based upon indicators of deterioration in the condition of the machinery. Traditionally, CBM involves equipping machinery with electronic sensors that continuously monitor components and collect data for analysis. The addition of the multisensory capability of human cognitive functions (i.e., sensemaking, problem detection, planning, adaptation, coordination, naturalistic decision making) to traditional CBM may create a fuller picture of machinery condition. Cognitive systems engineering techniques provide an opportunity to utilize a dynamic resource—people acting as soft sensors. The literature is extensive on techniques to fuse data from electronic sensors, but little work exists on fusing data from humans with that from electronic sensors (i.e., hard/soft fusion). The purpose of my research is to explore, observe, investigate, analyze, and evaluate the fusion of pilot and maintainer knowledge, experiences, and sensory perceptions with digital maintenance resources. Hard/soft information fusion has the potential to increase problem detection capability, improve flight safety, and increase mission readiness. This proposed project consists the creation of a methodology that is based upon the Living Laboratories framework, a research methodology that is built upon cognitive engineering principles1. This study performs a critical assessment of concept, which will support development of activities to demonstrate hard/soft information fusion in operationally relevant scenarios of aircraft maintenance. It consists of fieldwork, knowledge elicitation to inform a simulation and a prototype.

  9. Application of Vadose Zone Monitoring Technology for Characterization of Leachate Generation in Landfills

    NASA Astrophysics Data System (ADS)

    aharoni, imri; dahan, ofer

    2016-04-01

    Ground water contamination due to landfill leachate percolation is considered the most severe environmental threat related to municipal solid waste landfills. Natural waste degradation processes in landfills normally produce contaminated leachates up to decades after the waste has been buried. Studies have shown that understanding the mechanisms which govern attenuation processes and the fate of pollutants in the waste and in the underlying unsaturated zone is crucial for evaluation of environmental risks and selection of a restoration strategy. This work focuses on a closed landfill in the coastal plain of Israel that was active until 2002 without any lining infrastructure. A vadose zone monitoring system (VMS) that was implemented at the site enables continuous measurements across the waste body (15 m thick) and underlying sandy vadose zone (16 m thick). Data collected by the VMS included continuous measurements of water content as well as chemical composition of the leachates across the entire waste and vadose zone cross section. Results indicated that winter rain percolated through the waste, generating wetting waves which were observed across the waste and unsaturated sediment from land surface until groundwater at 31 m bls. Quick percolation and high fluxes were observed in spite of the clay cover that was implemented at the site as part of the rehabilitation scheme. The results show that the flow pattern is controlled by a preferential mechanism within the waste body. Specific sections showed rapid fluxes in response to rain events, while other sections remained unaffected. In the underlying sandy vadose zone the flow pattern exhibited characteristics of matrix flow. Yet, some sections received higher fluxes due to the uneven discharge of leachates from the overlying waste body. Water samples collected from the waste layer indicate production of highly polluted leachates over 14 years after the landfill was closed. The chemical composition within the waste

  10. Using Spatial Information Technologies as Monitoring Devices in International Watershed Conservation along the Senegal River Basin of West Africa

    PubMed Central

    Merem, Edmund C.; Twumasi, Yaw A.

    2008-01-01

    In this paper, we present the applications of spatial technologies—Geographic Information Systems (GIS) and remote sensing—in the international monitoring of river basins particularly analyzing the ecological, hydrological, and socio-economic issues along the Senegal River. The literature on multinational water crisis has for decades focused on mediation aspects of trans-boundary watershed management resulting in limited emphasis placed on the application of advances in geo-spatial information technologies in multinational watershed conservation in the arid areas of the West African sub-region within the Senegal River Basin for decision-making and monitoring. While the basin offers life support in a complex ecosystem that stretches across different nations in a mostly desert region characterized by water scarcity and subsistence economies, there exists recurrent environmental stress induced by both socio-economic and physical factors. Part of the problems consists of flooding, drought and limited access to sufficient quantities of water. These remain particularly sensitive issues that are crucial for the health of a rapidly growing population and the economy. The problems are further compounded due to the threats of climate change and the resultant degradation of almost the region’s entire natural resources base. While the pace at which the institutional framework for managing the waters offers opportunities for hydro electricity and irrigated agriculture through the proliferation of dams, it has raised other serious concerns in the region. Even where data exists for confronting these issues, some of them are incompatible and dispersed among different agencies. This not only widens the geo-spatial data gaps, but it hinders the ability to monitor water problems along the basin. This study will fill that gap in research through mix scale methods built on descriptive statistics, GIS and remote sensing techniques by generating spatially referenced data to

  11. Using spatial information technologies as monitoring devices in international watershed conservation along the Senegal River Basin of West Africa.

    PubMed

    Merem, Edmund C; Twumasi, Yaw A

    2008-12-01

    In this paper, we present the applications of spatial technologies-Geographic Information Systems (GIS) and remote sensing-in the international monitoring of river basins particularly analyzing the ecological, hydrological, and socio-economic issues along the Senegal River. The literature on multinational water crisis has for decades focused on mediation aspects of trans-boundary watershed management resulting in limited emphasis placed on the application of advances in geo-spatial information technologies in multinational watershed conservation in the arid areas of the West African sub-region within the Senegal River Basin for decision-making and monitoring. While the basin offers life support in a complex ecosystem that stretches across different nations in a mostly desert region characterized by water scarcity and subsistence economies, there exists recurrent environmental stress induced by both socio-economic and physical factors. Part of the problems consists of flooding, drought and limited access to sufficient quantities of water. These remain particularly sensitive issues that are crucial for the health of a rapidly growing population and the economy. The problems are further compounded due to the threats of climate change and the resultant degradation of almost the region's entire natural resources base. While the pace at which the institutional framework for managing the waters offers opportunities for hydro electricity and irrigated agriculture through the proliferation of dams, it has raised other serious concerns in the region. Even where data exists for confronting these issues, some of them are incompatible and dispersed among different agencies. This not only widens the geo-spatial data gaps, but it hinders the ability to monitor water problems along the basin. This study will fill that gap in research through mix scale methods built on descriptive statistics, GIS and remote sensing techniques by generating spatially referenced data to supplement

  12. Iterative user-centered design of a next generation patient monitoring system for emergency medical response.

    PubMed

    Gao, Tia; Kim, Matthew I; White, David; Alm, Alexander M

    2006-01-01

    We have developed a system for real-time patient monitoring during large-scale disasters. Our system is designed with scalable algorithms to monitor large numbers of patients, an intuitive interface to support the overwhelmed responders, and ad-hoc mesh networking capabilities to maintain connectivity to patients in the chaotic settings. This paper describes an iterative approach to user-centered design adopted to guide development of our system. This system is a part of the Advanced Health and Disaster Aid Network (AID-N) architecture.

  13. Rapid data access: Key to integrated use of environmental characterization and monitoring information

    SciTech Connect

    Canales, T.W.; Ottesen, P.

    1996-12-31

    Environmental investigations result in large quantities of data. The value of these data lies in their interpretation and use by project staff, management, and the regulatory community. Traditional modes of data access can be frustrating and time-consuming. Software tools that join networking technology of the World Wide Web (WWW) with database access have decreased labor-intensive overhead in site characterization and monitoring, thus increasing the efficiency of the ground water restoration project at Lawrence Livermore National Laboratory (LLNL). DOE and project personnel have dynamic access to statistical processing, database retrieval, and cost estimating tools. By adding mouse-sensitive site maps and post-processing capabilities, the authors have extended the utility of standard web browsers, such as Netscape or Mosaic. Users can retrieve chemical compound concentrations, ground water elevations, descriptive information about monitoring locations, or analytical services cost estimations. Data may be viewed as time-series graphs, contour maps, chemical concentration histograms, or simply displayed as text. Platform independence and easy retrieval make more comprehensive review of data possible. Cost-savings are realized; efficiency is increased; planning and decision-making are facilitated.

  14. An Integrated Approach for Pollution Monitoring: Smart Acquirement and Smart Information

    NASA Astrophysics Data System (ADS)

    Arco, E.; Boccardo, P.; Gandino, F.; Lingua, A.; Noardo, F.; Rebaudengo, M.

    2016-09-01

    Air quality is a factor of primary importance for the quality of life. The increase of the pollutants percentage in the air can cause serious problems to the human and environmental health. For this reason it is essential to monitor its values to prevent the consequences of an excessive concentration, to reduce the pollution production or to avoid the contact with major pollutant concentration through the available tools. Some recently developed tools for the monitoring and sharing of the data in an effective system permit to manage the information in a smart way, in order to improve the knowledge of the problem and, consequently, to take preventing measures in favour of the urban air quality and human health. In this paper, the authors describe an innovative solution that implements geomatics sensors (GNSS) and pollutant measurement sensors to develop a low cost sensor for the acquisition of pollutants dynamic data using a mobile platform based on bicycles. The acquired data can be analysed to evaluate the local distribution of pollutant density and shared through web platforms that use standard protocols for an effective smart use.

  15. Geographic information system as country-level development and monitoring tool, Senegal example

    USGS Publications Warehouse

    Moore, Donald G.; Howard, Stephen M.; ,

    1990-01-01

    Geographic information systems (GIS) allow an investigator the capability to merge and analyze numerous types of country-level resource data. Hypothetical resource analysis applications in Senegal were conducted to illustrate the utility of a GIS for development planning and resource monitoring. Map and attribute data for soils, vegetation, population, infrastructure, and administrative units were merged to form a database within a GIS. Several models were implemented using a GIS to: analyze development potential for sustainable dryland agriculture; prioritize where agricultural development should occur based upon a regional food budget; and monitor dynamic events with remote sensing. The steps for implementing a GIS analysis are described and illustrated, and the use of a GIS for conducting an economic analysis is outlined. Using a GIS for analysis and display of results opens new methods of communication between resource scientists and decision makers. Analyses yielding country-wide map output and detailed statistical data for each level of administration provide the advantage of a single system that can serve a variety of users.

  16. Technique for using a geometry and visualization system to monitor and manipulate information in other codes

    NASA Technical Reports Server (NTRS)

    Dickens, Thomas P.

    1992-01-01

    A technique was developed to allow the Aero Grid and Paneling System (AGPS), a geometry and visualization system, to be used as a dynamic real-time geometry monitor, manipulator, and interrogator for other codes. This technique involves the direct connection of AGPS with one or more external codes through the use of Unix pipes. AGPS has several commands that control communication with the external program. The external program uses several special subroutines that allow simple, direct communication with AGPS. The external program creates AGPS command lines and transmits the line over the pipes or communicates on a subroutine level. AGPS executes the commands, displays graphics/geometry information, and transmits the required solutions back to the external program. The basic ideas discussed in this paper could easily be implemented in other graphics/geometry systems currently in use or under development.

  17. Tissue-Informative Mechanism for Wearable Non-invasive Continuous Blood Pressure Monitoring

    NASA Astrophysics Data System (ADS)

    Woo, Sung Hun; Choi, Yun Young; Kim, Dae Jung; Bien, Franklin; Kim, Jae Joon

    2014-10-01

    Accurate continuous direct measurement of the blood pressure is currently available thru direct invasive methods via intravascular needles, and is mostly limited to use during surgical procedures or in the intensive care unit (ICU). Non-invasive methods that are mostly based on auscultation or cuff oscillometric principles do provide relatively accurate measurement of blood pressure. However, they mostly involve physical inconveniences such as pressure or stress on the human body. Here, we introduce a new non-invasive mechanism of tissue-informative measurement, where an experimental phenomenon called subcutaneous tissue pressure equilibrium is revealed and related for application in detection of absolute blood pressure. A prototype was experimentally verified to provide an absolute blood pressure measurement by wearing a watch-type measurement module that does not cause any discomfort. This work is supposed to contribute remarkably to the advancement of continuous non-invasive mobile devices for 24-7 daily-life ambulatory blood-pressure monitoring.

  18. Autonomic information flow improves prognostic impact of task force HRV monitoring.

    PubMed

    Hoyer, Dirk; Friedrich, Holger; Frank, Birgit; Pompe, Bernd; Baranowski, Rafal; Zebrowski, Jan J; Schmidt, Hendrik

    2006-03-01

    Heart rate variability (HRV) represents the cardiovascular control mediated by the autonomic nervous system and other mechanisms. In the established task force HRV monitoring different cardiovascular control mechanisms can approximately be identified at typical frequencies of heart rate oscillations by power spectral analysis. HRV measures assessing complex and fractal behavior partly improved clinical risk stratification. However, their relationship to (patho-)physiology is not sufficiently explored. Objective of the present work is the introduction of complexity measures of different physiologically relevant time scales. This is achieved by a new concept of the autonomic information flow (AIF) analysis which was designed according to task force HRV. First applications show that different time scales of AIF improve the risk stratification of patients with multiple organ dysfunction syndrome and cardiac arrest patients in comparison to standard HRV. Each group's significant time scales correspond to their respective pathomechanisms.

  19. A Review of Avian Monitoring and Mitigation Information at Existing Utility-Scale Solar Facilities

    SciTech Connect

    Walston, Leroy J.; Rollins, Katherine E.; Smith, Karen P.; LaGory, Kirk E.; Sinclair, Karin; Turchi, Craig; Wendelin, Tim; Souder, Heidi

    2015-01-01

    There are two basic types of solar energy technology: photovoltaic and concentrating solar power. As the number of utility-scale solar energy facilities using these technologies is expected to increase in the United States, so are the potential impacts on wildlife and their habitats. Recent attention is on the risk of fatality to birds. Understanding the current rates of avian mortality and existing monitoring requirements is an important first step in developing science-based mitigation and minimization protocols. The resulting information also allows a comparison of the avian mortality rates of utility-scale solar energy facilities with those from other technologies and sources, as well as the identification of data gaps and research needs. This report will present and discuss the current state of knowledge regarding avian issues at utility-scale solar energy facilities.

  20. 2002 Carolyn Sherif Award Address: Gender, Race, and Generation in a Midwest High School: Using Ethnographically Informed Methods in Psychology.

    ERIC Educational Resources Information Center

    Stewart, Abigail J.

    2003-01-01

    Suggests the value of ethnographically informed methods in the psychology of women, emphasizing the role of generation in psychology. Examines evidence from an ongoing, ethnographically informed study of high school graduates in the mid-1950s and late-1960s. The two generations of graduates have distinctive accounts of their experiences, with the…

  1. New approach to information fusion for Lipschitz classifiers ensembles: Application in multi-channel C-OTDR-monitoring systems

    NASA Astrophysics Data System (ADS)

    Timofeev, Andrey V.; Egorov, Dmitry V.

    2016-06-01

    This paper presents new results concerning selection of an optimal information fusion formula for an ensemble of Lipschitz classifiers. The goal of information fusion is to create an integral classificatory which could provide better generalization ability of the ensemble while achieving a practically acceptable level of effectiveness. The problem of information fusion is very relevant for data processing in multi-channel C-OTDR-monitoring systems. In this case we have to effectively classify targeted events which appear in the vicinity of the monitored object. Solution of this problem is based on usage of an ensemble of Lipschitz classifiers each of which corresponds to a respective channel. We suggest a brand new method for information fusion in case of ensemble of Lipschitz classifiers. This method is called "The Weighing of Inversely as Lipschitz Constants" (WILC). Results of WILC-method practical usage in multichannel C-OTDR monitoring systems are presented.

  2. Expert Water Quality Panel Review of Responses to the NASA Request for Information for the International Space Station On-Board Environmental Monitoring System

    NASA Technical Reports Server (NTRS)

    Fishman, Julianna L.; Mudgett, Paul D.; Packham, Nigel J.; Schultz, John R.; Straub, John E., II

    2005-01-01

    On August 9, 2003, NASA, with the cooperative support of the Vehicle Office of the International Space Station Program, the Advanced Human Support Technology Program, and the Johnson Space Center Habitability and Environmental Factors Office released a Request for Information, or RFI, to identify next-generation environmental monitoring systems that have demonstrated ability or the potential to meet defined requirements for monitoring air and water quality onboard the International Space Station. This report summarizes the review and analysis of the proposed solutions submitted to meet the water quality monitoring requirements. Proposals were to improve upon the functionality of the existing Space Station Total Organic Carbon Analyzer (TOCA) and monitor additional contaminants in water samples. The TOCA is responsible for in-flight measurement of total organic carbon, total inorganic carbon, total carbon, pH, and conductivity in the Space Station potable water supplies. The current TOCA requires hazardous reagents to accomplish the carbon analyses. NASA is using the request for information process to investigate new technologies that may improve upon existing capabilities, as well as reduce or eliminate the need for hazardous reagents. Ideally, a replacement for the TOCA would be deployed in conjunction with the delivery of the Node 3 water recovery system currently scheduled for November 2007.

  3. Airborne Dust Monitoring Activities at the National Environmental Satellite, Data and Information Service

    NASA Astrophysics Data System (ADS)

    Stephens, G.; McNamara, D.; Taylor, J.

    2002-12-01

    Wind blown dust can be a hazard to transportation, industrial, and military operations, and much work has been devoted to its analysis and prediction from a meteorological viewpoint. The detection and forecasting of dust outbreaks in near real time is difficult, particularly in remote desert areas with sparse observation networks. The Regional Haze Regulation, passed by Congress in 1999, mandates a reduction in man made inputs to haze in 156 Class I areas (national parks and wilderness areas). Studies have demonstrated that satellite data can be useful in detection and tracking of dust storms. Environmental satellites offer frequent coverage of large geographic areas. The National Environmental Satellite, Data, and Information Service (NESDIS) of the U.S. National Oceanic and Atmospheric Administration (NOAA) operates a system of polar orbiting and geostationary environmental satellites, which sense data in two visible and three infrared channels. Promising results in the detection of airborne dust have been obtained using multispectral techniques to combine information from two or more channels to detect subtle spectral differences. One technique, using a ratio of two thermal channels, detects the presence of airborne dust, and discriminates it from both underlying ground and meteorological clouds. In addition, NESDIS accesses and is investigating for operational use data from several other satellites. The Total Ozone Mapping Spectrometer on board NASA's Earth Probe mission provides an aerosol index product which can detect dust and smoke, and the Moderate Resolution Imaging Spectroradiometer on NASA's Terra and Aqua satellites provide several channels which can detect aerosols in multispectral channel combinations. NESDIS, in cooperation with NOAA's Air Resources Laboratory, produces a daily smoke transport forecast, combining satellite derived smoke source points with a mathematical transport prediction model; such a scheme could be applied to other aerosol

  4. What is in my air? Feds facilitating citizen science in the EPA Next Generation Air Monitoring Program

    NASA Astrophysics Data System (ADS)

    French, R. A.; Preuss, P.

    2013-12-01

    Recent advances in the development of small-scale and inexpensive air pollutant sensors, coupled with the ubiquitous use of wireless and mobile technology, will transform the field of air quality monitoring. For the first time, the general public may purchase air monitors, which can measure their personal exposure to NOx, Ozone, black carbon, and VOCs for a few hundred dollars. Concerned citizens may now gather the data for themselves to answer questions such as, ';what am I breathing?' and ';is my air clean?' The research and policy community will have access to real-time air quality data collected at the local and regional scale, making targeted protection of environmental health possible. With these benefits come many questions from citizen scientists, policymakers, and researchers. These include, what is the quality of the data? How will the public interpret data from the air sensors and are there guidelines to interpret that data? How do you know if the air sensor is trustworthy? Recognizing that this revolution in air quality monitoring will proceed regardless of the involvement of the government, the Innovation Team at the EPA Office of Research and Development, in partnership with the Office of Enforcement and Compliance Assistance and the Office of Air and Radiation, seized the opportunity to ensure that users of next generation air sensors can realize the full potential benefits of these innovative technologies. These efforts include releasing an EPA Draft Roadmap for Next Generation Air Monitoring, testing air sensors under laboratory and field conditions, field demonstrations of new air sensor technology for the public, and building a community of air sensor developers, researchers, local, state and federal officials, and community members through workshops and a website. This presentation will review the status of those programs, highlighting the particular programs of interest to citizen scientists. The Next Generation Air Monitoring program may serve

  5. Generation of Infectious Poliovirus with Altered Genetic Information from Cloned cDNA.

    PubMed

    Bujaki, Erika

    2016-01-01

    The effect of specific genetic alterations on virus biology and phenotype can be studied by a great number of available assays. The following method describes the basic protocol to generate infectious poliovirus with altered genetic information from cloned cDNA in cultured cells.The example explained here involves generation of a recombinant poliovirus genome by simply replacing a portion of the 5' noncoding region with a synthetic gene by restriction cloning. The vector containing the full length poliovirus genome and the insert DNA with the known mutation(s) are cleaved for directional cloning, then ligated and transformed into competent bacteria. The recombinant plasmid DNA is then propagated in bacteria and transcribed to RNA in vitro before RNA transfection of cultured cells is performed. Finally, viral particles are recovered from the cell culture.

  6. Waste container weighing data processing to create reliable information of household waste generation.

    PubMed

    Korhonen, Pirjo; Kaila, Juha

    2015-05-01

    Household mixed waste container weighing data was processed by knowledge discovery and data mining techniques to create reliable information of household waste generation. The final data set included 27,865 weight measurements covering the whole year 2013 and it was selected from a database of Helsinki Region Environmental Services Authority, Finland. The data set contains mixed household waste arising in 6m(3) containers and it was processed identifying missing values and inconsistently low and high values as errors. The share of missing values and errors in the data set was 0.6%. This provides evidence that the waste weighing data gives reliable information of mixed waste generation at collection point level. Characteristic of mixed household waste arising at the waste collection point level is a wide variation between pickups. The seasonal variation pattern as a result of collective similarities in behaviour of households was clearly detected by smoothed medians of waste weight time series. The evaluation of the collection time series against the defined distribution range of pickup weights on the waste collection point level shows that 65% of the pickups were from collection points with optimally dimensioned container capacity and the collection points with over- and under-dimensioned container capacities were noted in 9.5% and 3.4% of all pickups, respectively. Occasional extra waste in containers occurred in 21.2% of the pickups indicating the irregular behaviour of individual households. The results of this analysis show that processing waste weighing data using knowledge discovery and data mining techniques provides trustworthy information of household waste generation and its variations.

  7. Generating Optical Schrödinger Kittens for Quantum Information Processing

    NASA Astrophysics Data System (ADS)

    Ourjoumtsev, Alexei; Tualle-Brouri, Rosa; Laurat, Julien; Grangier, Philippe

    2006-04-01

    We present a detailed experimental analysis of a free-propagating light pulse prepared in a ``Schrödinger kitten'' state, which is defined as a quantum superposition of ``classical'' coherent states with small amplitudes. This kitten state is generated by subtracting one photon from a squeezed vacuum beam, and it clearly presents a negative Wigner function. The predicted influence of the experimental parameters is in excellent agreement with the experimental results. The amplitude of the coherent states can be amplified to transform our ``Schrödinger kittens'' into bigger Schrödinger cats, providing an essential tool for quantum information processing.

  8. Accident Generated Particulate Materials and Their Characteristics -- A Review of Background Information

    SciTech Connect

    Sutter, S. L.

    1982-05-01

    Safety assessments and environmental impact statements for nuclear fuel cycle facilities require an estimate of the amount of radioactive particulate material initially airborne (source term) during accidents. Pacific Northwest Laboratory (PNL) has surveyed the literature, gathering information on the amount and size of these particles that has been developed from limited experimental work, measurements made from operational accidents, and known aerosol behavior. Information useful for calculating both liquid and powder source terms is compiled in this report. Potential aerosol generating events discussed are spills, resuspension, aerodynamic entrainment, explosions and pressurized releases, comminution, and airborne chemical reactions. A discussion of liquid behavior in sprays, sparging, evaporation, and condensation as applied to accident situations is also included.

  9. Continuous safety monitoring for randomized controlled clinical trials with blinded treatment information. Part 2: Statistical considerations.

    PubMed

    Ball, Greg; Piller, Linda B

    2011-09-01

    If the primary objective of a trial is to learn about the ability of a new treatment to help future patients without sacrificing the safe and effective treatment of the current patients, then a Bayesian design with frequent assessments of the accumulating data should be considered. Unfortunately, Bayesian analyses typically do not have standard approaches, and because of the subjectivity of prior probabilities and the possibility for introducing bias, statisticians have developed other methods for statistical inference that only depend on deductive probabilities. However, these frequentist probabilities are just theories about how certain relative frequencies will develop over time. They have no real meaning in a single experiment. Designed to work well in the long run, p-values become hard to explain for individual experiments. Fortunately, the controversy surrounding Bayes' theorem comes, not from the representation of evidence, but from the use of probabilities to measure belief. A prior distribution is not necessary. The likelihood function contains all of the information in a trial relevant for making inferences about the parameters. Monitoring clinical trials is a dynamic process which requires flexibility to respond to unforeseen developments. Likelihood ratios allow the data to speak for themselves, without regard for the probability of observing weak or misleading evidence, and decisions to stop, or continue, a trial can be made at any time, with all of the available information. A likelihood based method is needed.

  10. Monitoring of In-Field Variability for Site Specific Crop Management Through Open Geospatial Information

    NASA Astrophysics Data System (ADS)

    Řezník, T.; Lukas, V.; Charvát, K.; Charvát, K., Jr.; Horáková, Š.; Křivánek, Z.; Herman, L.

    2016-06-01

    The agricultural sector is in a unique position due to its strategic importance around the world. It is crucial for both citizens (consumers) and the economy (both regional and global), which, ideally, should ensure that the whole sector is a network of interacting organisations. It is important to develop new tools, management methods, and applications to improve the management and logistic operations of agricultural producers (farms) and agricultural service providers. From a geospatial perspective, this involves identifying cost optimization pathways, reducing transport, reducing environmental loads, and improving the energy balance, while maintaining production levels, etc. This paper describes the benefits of, and open issues arising from, the development of the Open Farm Management Information System. Emphasis is placed on descriptions of available remote sensing and other geospatial data, and their harmonization, processing, and presentation to users. At the same time, the FOODIE platform also offers a novel approach of yield potential estimations. Validation for one farm demonstrated 70% successful rate when comparing yield results at a farm counting 1'284 hectares on one hand and results of a theoretical model of yield potential on the other hand. The presented Open Farm Management Information System has already been successfully registered under Phase 8 of the Global Earth Observation System of Systems (GEOSS) Architecture Implementation Pilot in order to support the wide variety of demands that are primarily aimed at agriculture and water pollution monitoring by means of remote sensing.

  11. The Role of Hospital Information Systems in Universal Health Coverage Monitoring in Rwanda.

    PubMed

    Karara, Gustave; Verbeke, Frank; Nyssen, Marc

    2015-01-01

    In this retrospective study, the authors monitored the patient health coverage in 6 Rwandan hospitals in the period between 2011 and 2014. Among the 6 hospitals, 2 are third level hospitals, 2 district hospitals and 2 private hospitals. Patient insurance and financial data were extracted and analyzed from OpenClinic GA, an open source hospital information system (HIS) used in those 6 hospitals. The percentage of patients who had no health insurer globally decreased from 35% in 2011 to 15% in 2014. The rate of health insurance coverage in hospitals varied between 75% in private hospitals and 84% in public hospitals. The amounts paid by the patients for health services decreased in private hospitals to 25% of the total costs in 2014 (-7.4%) and vary between 14% and 19% in public hospitals. Although the number of insured patients has increased and the patient share decreased over the four years of study, the patients' out-of-pocket payments increased especially for in-patients. This study emphasizes the value of integrated hospital information systems for this kind of health economics research in developing countries.

  12. Accuracy and reliability of Chile's National Air Quality Information System for measuring particulate matter: Beta attenuation monitoring issue.

    PubMed

    Toro A, Richard; Campos, Claudia; Molina, Carolina; Morales S, Raul G E; Leiva-Guzmán, Manuel A

    2015-09-01

    A critical analysis of Chile's National Air Quality Information System (NAQIS) is presented, focusing on particulate matter (PM) measurement. This paper examines the complexity, availability and reliability of monitoring station information, the implementation of control systems, the quality assurance protocols of the monitoring station data and the reliability of the measurement systems in areas highly polluted by particulate matter. From information available on the NAQIS website, it is possible to confirm that the PM2.5 (PM10) data available on the site correspond to 30.8% (69.2%) of the total information available from the monitoring stations. There is a lack of information regarding the measurement systems used to quantify air pollutants, most of the available data registers contain gaps, almost all of the information is categorized as "preliminary information" and neither standard operating procedures (operational and validation) nor assurance audits or quality control of the measurements are reported. In contrast, events that cause saturation of the monitoring detectors located in northern and southern Chile have been observed using beta attenuation monitoring. In these cases, it can only be concluded that the PM content is equal to or greater than the saturation concentration registered by the monitors and that the air quality indexes obtained from these measurements are underestimated. This occurrence has been observed in 12 (20) public and private stations where PM2.5 (PM10) is measured. The shortcomings of the NAQIS data have important repercussions for the conclusions obtained from the data and for how the data are used. However, these issues represent opportunities for improving the system to widen its use, incorporate comparison protocols between equipment, install new stations and standardize the control system and quality assurance.

  13. A practical object-oriented approach to a development of a next generation hospital information system.

    PubMed

    Sakamoto, N

    1998-01-01

    KIND (stands for Kyushu university hospital Information Network Database) is a five years project, which aims to provide integrated services for patients, physicians, researchers and other hospital staffs. The final product of KIND is a next generation hospital information system. A physicians' clinical workstation, for example, integrated into a secured medical information network, can electronically develop a longitudinal medical record and interface with pharmacies, laboratories, medical specialists, and radiologists, as well as develop patient census and demographic profiles, in addition to doing electronic claims. Since clinical requirements on those medical records may vary for each case, we would like to have an essential data model under the hood. We decided to introduce domain analysis method to produce a relevant domain model. A domain analysis method captures the nature of business and helps us have an essential and extensible data model. Although there are several ways to describe a domain model, we chose an object-oriented description and consequently implementation using an object-oriented database system. Once we could have a decent domain model and implemented it as an object-oriented data model, application programs can utilize those data very easy without worrying extra efforts like finding complex queries including multiple joins. More over, if an application uses decent object-oriented technologies, it allows a user to access whole aspects of data transparently. This paper describes the architecture of KIND (the system) and outlines our domain model. In this paper, we also describe a practical application of several object-oriented technologies to develop a next generation hospital information system.

  14. Indoor Spatial Monitoring of Combustion Generated Pollutants (TSP, CO, and BaP) by Indian Cookstoves

    DTIC Science & Technology

    1988-07-01

    insulation, furnishings, tobacco smoke Asbestos , mineral, and Fire-retardant, accoustic, synthetic fibres thermal, or electrical insulation Organic substances...nitrosamines, and polonium . Researchers indicate BaP, one of the well known carcinogen as a potential candidate for promoting lung cancer even though...important to monitor the exposure of cooks. Five battery operated and light weight TSP (Gilian HFS 113) and one CO (Ecolyzer 210 ) samplers were procured. The

  15. Instrumentation for a next-generation x-ray all-sky monitor

    SciTech Connect

    Peele, A. G.

    1999-12-15

    We have proposed an x-ray all-sky monitor for a small satellite mission that will be ten times more sensitive than past monitors and that opens up a new band of the soft x-ray spectrum (0.1-3.0 keV) for study. We discuss three approaches to the construction of the optics. The first method, well within the reach of existing technology, is to approximate the lobster-eye geometry by building crossed arrays of planar reflectors, this gives great control over the reflecting surface but is limited in terms of resolution at the baseline 4 arc minute level. The second method is to use microchannel plates; this technology has the potential to greatly exceed the baseline resolution and sensitivity but is yet to be fully demonstrated. The third method, while still in its infancy, may yet prove to be the most powerful; this approach relies on photolithography to expose a substrate that can then be developed and replicated. The scientific case for this mission is almost too broad to state here. The instrument we describe will allow investigation of the long term light curves of thousands of AGN, it will detect thousands of transients, including GRBs and type II supernova, and the stellar coronae of hundreds of the brightest x-ray stars can be monitored. In addition the classical objectives of all-sky monitors--long-term all-sky archive and watchdog alert to new events--will be fulfilled at an unprecedented level. We also note that by opening up a little-explored band of the x-ray sky the opportunity for new discovery is presented. A satisfying example of entering new territory while still retaining the guarantee of expanding the domain of existing research.

  16. A Next Generation Air Monitor: Combining Orion and ISS Requirements for a Common Major Constituent Analyzer

    NASA Technical Reports Server (NTRS)

    Burchfield, David E.; Tissandier, Michael; Niu, William Hsein-Chi; Lewis, John F.

    2013-01-01

    The Major Constituent Analyzer (MCA) is a mass spectrometer-based instrument designed to provide critical monitoring of six major atmospheric constituents; nitrogen, oxygen, hydrogen, carbon dioxide, methane, and water vapor on-board the International Space Station. The analyzer has been an integral part of the Environmental Control and Life Support System (ECLSS) since the station went on-line. The Orion Air Monitor (OAM) was derived from the MCA and heavily optimized for reduced mass, lower power, faster water vapor response, and maintenance-free operation. The resulting OAM is approximately the size of the analyzer portion of the MCA, orbital-replacement unit 02 (ORU 02), while incorporating the functions of three other modules: Data Processing and Communication (ORU 01), Verification Gas Assembly (ORU 08), and Low Voltage Power Supply (ORU 04). The overlap in MCA and OAM requirements makes it possible to derive a common Air Monitor design that spans both applications while minimally impacting the weight and power limits imposed by the Multipurpose Crew Vehicle (MPCV). Benefits to ISS include the retirement of ORUs 01, 04, and 08, reducing up-mass and eliminating EEE parts obsolescence issues through the extended ISS mission phases. Benefits to MPCV and future deployed habitats under the Constellation program include greater interchangeability across ECLSS subsystems. This paper discusses the results of the requirements development study, where a superset of ISS and Orion air monitoring requirements were distilled; evaluated against increases in OAM functionality, mass, and power; and traded-off where possible using simple operating mode modifications. A system architecture and preliminary design addressing the common requirements will be presented.

  17. Socialization and Information Horizons: Source Use Behavior of First-Generation and Continuing-Generation College Students

    ERIC Educational Resources Information Center

    Tsai, Tien-I

    2013-01-01

    First-generation college (FGC) students have been described as an underrepresented group in comparison to their continuing-generation counterparts (non-FGC students). Studying college students' socialization experiences and their use of academic resources can help us understand how to facilitate their academic success. Incorporating…

  18. Transacting generation attributes across market boundaries: Compatible information systems and the treatment of imports and exports

    SciTech Connect

    Grace, Robert; Wiser, Ryan

    2002-11-01

    Voluntary markets for ''green'' power, and mandatory policies such as fuel source disclosure requirements and renewables portfolio standards, each rely on the ability to differentiate electricity by the ''attributes'' of the generation. Throughout North America, electricity markets are devising accounting and verification systems for generation ''attributes'': those characteristics of a power plant's production such as fuel source and emissions that differentiate it from undifferentiated (or ''commodity'') electricity. These accounting and verification systems are intended to verify compliance with market mandates, create accurate disclosure labels, substantiate green power claims, and support emissions markets. Simultaneously, interest is growing in transacting (importing or exporting) generation attributes across electricity market borders, with or without associated electricity. Cross-border renewable attribute transactions have advantages and disadvantages. Broad access to markets may encourage more renewable generation at lower cost, but this result may conflict with desires to assure that at least some renewable resources are built locally to achieve either local policy goals or purchaser objectives. This report is intended to serve as a resource document for those interested in and struggling with cross-border renewable attribute transactions. The report assesses the circumstances under which renewable generation attributes from a ''source'' region might be recognized in a ''sink'' region. The report identifies several distinct approaches that might be used to account for and verify attribute import and export transactions, and assesses the suitability of these alternative approaches. Because policymakers have often made systems ''compatibility'' between market areas a pre-requisite to allowing cross-border renewable transactions, this report develops criteria for ''compatible information systems.'' Where fully compatible information systems do not exist

  19. Monitoring fibrous scaffold guidance of three-dimensional collagen organisation using minimally-invasive second harmonic generation.

    PubMed

    Delaine-Smith, Robin M; Green, Nicola H; Matcher, Stephen J; MacNeil, Sheila; Reilly, Gwendolen C

    2014-01-01

    The biological and mechanical function of connective tissues is largely determined by controlled cellular alignment and therefore it seems appropriate that tissue-engineered constructs should be architecturally similar to the in vivo tissue targeted for repair or replacement. Collagen organisation dictates the tensile properties of most tissues and so monitoring the deposition of cell-secreted collagen as the construct develops is essential for understanding tissue formation. In this study, electrospun fibres with a random or high degree of orientation, mimicking two types of tissue architecture found in the body, were used to culture human fibroblasts for controlling cell alignment. The minimally-invasive technique of second harmonic generation was used with the aim of monitoring and profiling the deposition and organisation of collagen at different construct depths over time while construct mechanical properties were also determined over the culture period. It was seen that scaffold fibre organisation affected cell migration and orientation up to 21 days which in turn had an effect on collagen organisation. Collagen in random fibrous constructs was deposited in alternating configurations at different depths however a high degree of organisation was observed throughout aligned fibrous constructs orientated in the scaffold fibre direction. Three-dimensional second harmonic generation images showed that deposited collagen was more uniformly distributed in random constructs but aligned constructs were more organised and had higher intensities. The tensile properties of all constructs increased with increasing collagen deposition and were ultimately dictated by collagen organisation. This study highlights the importance of scaffold architecture for controlling the development of well-organised tissue engineered constructs and the usefulness of second harmonic generation imaging for monitoring collagen maturation in a minimally invasive manner.

  20. Monitoring Fibrous Scaffold Guidance of Three-Dimensional Collagen Organisation Using Minimally-Invasive Second Harmonic Generation

    PubMed Central

    Delaine-Smith, Robin M.; Green, Nicola H.; Matcher, Stephen J.; MacNeil, Sheila; Reilly, Gwendolen C.

    2014-01-01

    The biological and mechanical function of connective tissues is largely determined by controlled cellular alignment and therefore it seems appropriate that tissue-engineered constructs should be architecturally similar to the in vivo tissue targeted for repair or replacement. Collagen organisation dictates the tensile properties of most tissues and so monitoring the deposition of cell-secreted collagen as the construct develops is essential for understanding tissue formation. In this study, electrospun fibres with a random or high degree of orientation, mimicking two types of tissue architecture found in the body, were used to culture human fibroblasts for controlling cell alignment. The minimally-invasive technique of second harmonic generation was used with the aim of monitoring and profiling the deposition and organisation of collagen at different construct depths over time while construct mechanical properties were also determined over the culture period. It was seen that scaffold fibre organisation affected cell migration and orientation up to 21 days which in turn had an effect on collagen organisation. Collagen in random fibrous constructs was deposited in alternating configurations at different depths however a high degree of organisation was observed throughout aligned fibrous constructs orientated in the scaffold fibre direction. Three-dimensional second harmonic generation images showed that deposited collagen was more uniformly distributed in random constructs but aligned constructs were more organised and had higher intensities. The tensile properties of all constructs increased with increasing collagen deposition and were ultimately dictated by collagen organisation. This study highlights the importance of scaffold architecture for controlling the development of well-organised tissue engineered constructs and the usefulness of second harmonic generation imaging for monitoring collagen maturation in a minimally invasive manner. PMID:24587017

  1. Performance assessment and adoption processes of an information monitoring and diagnostic system prototype

    SciTech Connect

    Piette, Mary Ann

    1999-10-01

    This report addresses the problem that buildings do not perform as well as anticipated during design. We partnered with an innovative building operator to evaluate a prototype Information Monitoring and Diagnostic System (IMDS). The IMDS consists of high-quality measurements archived each minute, a data visualization tool, and a web-based capability. The operators recommend similar technology be adopted in other buildings. The IMDS has been used to identify and correct a series of control problems. It has also allowed the operators to make more effective use of the building control system, freeing up time to take care of other tenant needs. They believe they have significantly improved building comfort, potentially improving tenant health, and productivity. The reduction in hours to operate the building are worth about $20,000 per year, which could pay for the IMDS in about five years. A control system retrofit based on findings from the IMDS is expected to reduce energy use by 20 percent over the next year, worth over $30,000 per year. The main conclusion of the model-based chiller fault detection work is that steady-state models can be used as reference models to monitor chiller operation and detect faults. The ability of the IMDS to measure cooling load and chiller power to one-percent accuracy with a one-minute sampling interval permits detection of additional faults. Evolutionary programming techniques were also evaluated, showing promise in the detection of patterns in building data. We also evaluated two technology adoption processes, radical and routine. In routine adoption, managers enhance features of existing products that are already well understood. In radical adoption, innovative building managers introduce novel technology into their organizations without using the rigorous payback criteria used in routine innovations.

  2. Monitoring the Environment using High-Spatial Resolution Remote Sensing: Contribution to Health Information Systems

    NASA Astrophysics Data System (ADS)

    Tourre, Y. M.; Lacaux, J.

    2007-12-01

    Presence (density) of mosquitoes linked to Rift Valley Fever (RVF) epidemics in the Ferlo (Senegal) is evaluated by monitoring the environment from space. Using five SPOT-5 high-resolution images (~10m spatial resolution, on August 17th, 2006) a meridional transect of 290 x 60 km2 is analyzed for the first time. Four major ecozones are thus identified: Senegal River valley; sandy Ferlo; sandy-clayey Ferlo; and steppe/cultivated areas, from north to south, respectively. An integrated/multidisciplinary approach using remote-sensing leads to a composited Zones Potentially Occupied by Mosquitoes (or ZPOMs, with extrema). It is found that at the peak of the rainy season, the area occupied by ponds is of 12,817 ha ± 10% (i.e., ~ 0.8 % of the transect) with a mean ZPOM 17 times larger i.e.: 212,813 ha ± 10 % (or ~14 % of the transect). ZPOMs characteristics (minimum and maximum) at the ecozones levels with different hydrological mechanisms, are presented. Ponds and ZPOMs inter-annual variabilities and RVF risks, are subsequently highlighted by comparing statistics in the so-called Barkedji zone (sandy-clayey Ferlo with a hydrofossil riverbed), for the very humid year of 2003, and the near normal rainfall year of 2006. It is shown that at the end of August 2003/2006, ponds (ZPOMs) areas, were already ~22 (~5) times larger. The key roles played by isolated ponds for animals' exposure to RVF risks are thus identified. These results highlight the importance of monitoring the changing environment when linkages with public health exist. The ZPOM approach is to be adapted for other vector-borne diseases such as malaria, dengue fever, in different places of the world. Results are meant to be included into Health Information Systems (HIS) on an operational basis, in order to minimize socio-economical impacts from epidemics.

  3. An Experimental Global Monitoring System for Rainfall-triggered Landslides using Satellite Remote Sensing Information

    NASA Technical Reports Server (NTRS)

    Hong, Yang; Adler, Robert F.; Huffman, George J.

    2006-01-01

    Landslides triggered by rainfall can possibly be foreseen in real time by jointly using rainfall intensity-duration thresholds and information related to land surface susceptibility. However, no system exists at either a national or a global scale to monitor or detect rainfall conditions that may trigger landslides due to the lack of extensive ground-based observing network in many parts of the world. Recent advances in satellite remote sensing technology and increasing availability of high-resolution geospatial products around the globe have provided an unprecedented opportunity for such a study. In this paper, a framework for developing an experimental real-time monitoring system to detect rainfall-triggered landslides is proposed by combining two necessary components: surface landslide susceptibility and a real-time space-based rainfall analysis system (http://trmm.gsfc.nasa.aov). First, a global landslide susceptibility map is derived from a combination of semi-static global surface characteristics (digital elevation topography, slope, soil types, soil texture, and land cover classification etc.) using a GIs weighted linear combination approach. Second, an adjusted empirical relationship between rainfall intensity-duration and landslide occurrence is used to assess landslide risks at areas with high susceptibility. A major outcome of this work is the availability of a first-time global assessment of landslide risk, which is only possible because of the utilization of global satellite remote sensing products. This experimental system can be updated continuously due to the availability of new satellite remote sensing products. This proposed system, if pursued through wide interdisciplinary efforts as recommended herein, bears the promise to grow many local landslide hazard analyses into a global decision-making support system for landslide disaster preparedness and risk mitigation activities across the world.

  4. 77 FR 36488 - Proposed Information Collection; Comment Request; Vessel Monitoring System Requirements Under the...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2012-06-19

    ... Monitoring System Requirements Under the Western and Central Pacific Fisheries Convention AGENCY: National... near real-time satellite-based position-fixing transmitters (``Vessel Monitoring System-VMS-units'')...

  5. The next generation of low-cost personal air quality sensors for quantitative exposure monitoring

    NASA Astrophysics Data System (ADS)

    Piedrahita, R.; Xiang, Y.; Masson, N.; Ortega, J.; Collier, A.; Jiang, Y.; Li, K.; Dick, R. P.; Lv, Q.; Hannigan, M.; Shang, L.

    2014-10-01

    Advances in embedded systems and low-cost gas sensors are enabling a new wave of low-cost air quality monitoring tools. Our team has been engaged in the development of low-cost, wearable, air quality monitors (M-Pods) using the Arduino platform. These M-Pods house two types of sensors - commercially available metal oxide semiconductor (MOx) sensors used to measure CO, O3, NO2, and total VOCs, and NDIR sensors used to measure CO2. The MOx sensors are low in cost and show high sensitivity near ambient levels; however they display non-linear output signals and have cross-sensitivity effects. Thus, a quantification system was developed to convert the MOx sensor signals into concentrations. We conducted two types of validation studies - first, deployments at a regulatory monitoring station in Denver, Colorado, and second, a user study. In the two deployments (at the regulatory monitoring station), M-Pod concentrations were determined using collocation calibrations and laboratory calibration techniques. M-Pods were placed near regulatory monitors to derive calibration function coefficients using the regulatory monitors as the standard. The form of the calibration function was derived based on laboratory experiments. We discuss various techniques used to estimate measurement uncertainties. The deployments revealed that collocation calibrations provide more accurate concentration estimates than laboratory calibrations. During collocation calibrations, median standard errors ranged between 4.0-6.1 ppb for O3, 6.4-8.4 ppb for NO2, 0.28-0.44 ppm for CO, and 16.8 ppm for CO2. Median signal to noise (S / N) ratios for the M-Pod sensors were higher than the regulatory instruments: for NO2, 3.6 compared to 23.4; for O3, 1.4 compared to 1.6; for CO, 1.1 compared to 10.0; and for CO2, 42.2 compared to 300-500. By contrast, lab calibrations added bias and made it difficult to cover the necessary range of environmental conditions to obtain a good calibration. A separate user study

  6. Protection of quantum information and optimal singlet conversion through higher-dimensional quantum systems and environment monitoring

    SciTech Connect

    Mascarenhas, E.; Marques, B.; Santos, M. Franca; Cavalcanti, D.; Cunha, M. Terra

    2010-03-15

    We study how to protect quantum information in quantum systems subjected to local dissipation. We show that combining the use of three-level systems, environment monitoring, and local feedback can fully and deterministically protect any available quantum information, including entanglement initially shared by different parties. These results can represent a gain in resources and/or distances in quantum communication protocols such as quantum repeaters and teleportation as well as time for quantum memories. Finally, we show that monitoring local environments physically implements the optimum singlet conversion protocol, which is essential for classical entanglement percolation.

  7. Relative Contributions of Goal Representation and Kinematic Information to Self-Monitoring by Chimpanzees and Humans

    ERIC Educational Resources Information Center

    Kaneko, Takaaki; Tomonaga, Masaki

    2012-01-01

    It is important to monitor feedback related to the intended result of an action while executing that action. This monitoring process occurs hierarchically; that is, sensorimotor processing occurs at a lower level, and conceptual representation of action goals occurs at a higher level. Although the hierarchical nature of self-monitoring may derive…

  8. 78 FR 58286 - Proposed Information Collection; Comment Request; Western Region Vessel Monitoring System and Pre...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-09-23

    ... Region Vessel Monitoring System and Pre-Trip Reporting Requirements AGENCY: National Oceanic and... Monitoring System (VMS) units will facilitate enforcement of closures associated with HMS fisheries and... Number of Respondents: 80. Estimated Time per Response: Vessel monitoring system (VMS) activation...

  9. 75 FR 43487 - Proposed Information Collection; Comment Request; Vessel Monitoring System Requirements in...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2010-07-26

    ... Monitoring System Requirements in Western Pacific Pelagic and Bottomfish Fisheries AGENCY: National Oceanic... vessel monitoring system (VMS) units on their vessels when directed to do so by NOAA enforcement... approved collections for VMS requirements, OMB Control No. 0648-0441 (Vessel Monitoring System...

  10. A Rapid Monitoring and Evaluation Method of Schistosomiasis Based on Spatial Information Technology.

    PubMed

    Wang, Yong; Zhuang, Dafang

    2015-12-12

    Thanks to Spatial Information Technologies (SITs) such as Remote Sensing (RS) and Geographical Information System (GIS) that are being quickly developed and updated, SITs are being used more widely in the public health field. The use of SITs to study the characteristics of the temporal and spatial distribution of Schistosoma japonicum and to assess the risk of infection provides methods for the control and prevention of schistosomiasis japonica has gradually become a hot topic in the field. The purpose of the present paper was to use RS and GIS technology to develop an efficient method of prediction and assessment of the risk of schistosomiasis japonica. We choose the Yueyang region, close to the east DongTing Lake (Hunan Province, China), as the study area, where a recent serious outbreak of schistosomiasis japonica took place. We monitored and evaluated the transmission risk of schistosomiasis japonica in the region using SITs. Water distribution data were extracted from RS images. The ground temperature, ground humidity and vegetation index were calculated based on RS images. Additionally, the density of oncomelania snails, which are the Schistosoma japonicum intermediate host, was calculated on the base of RS data and field measurements. The spatial distribution of oncomelania snails was explored using SITs in order to estimate the area surrounding the residents with transmission risk of schistosomiasis japonica. Our research result demonstrated: (1) the risk factors for the transmission of schistosomiasis japonica were closely related to the living environment of oncomelania snails. Key factors such as water distribution, ground temperature, ground humidity and vegetation index can be quickly obtained and calculated from RS images; (2) using GIS technology and a RS deduction technique along with statistical regression models, the density distribution model of oncomelania snails could be quickly built; (3) using SITs and analysis with overlaying population

  11. A Rapid Monitoring and Evaluation Method of Schistosomiasis Based on Spatial Information Technology

    PubMed Central

    Wang, Yong; Zhuang, Dafang

    2015-01-01

    Thanks to Spatial Information Technologies (SITs) such as Remote Sensing (RS) and Geographical Information System (GIS) that are being quickly developed and updated, SITs are being used more widely in the public health field. The use of SITs to study the characteristics of the temporal and spatial distribution of Schistosoma japonicum and to assess the risk of infection provides methods for the control and prevention of schistosomiasis japonica has gradually become a hot topic in the field. The purpose of the present paper was to use RS and GIS technology to develop an efficient method of prediction and assessment of the risk of schistosomiasis japonica. We choose the Yueyang region, close to the east DongTing Lake (Hunan Province, China), as the study area, where a recent serious outbreak of schistosomiasis japonica took place. We monitored and evaluated the transmission risk of schistosomiasis japonica in the region using SITs. Water distribution data were extracted from RS images. The ground temperature, ground humidity and vegetation index were calculated based on RS images. Additionally, the density of oncomelania snails, which are the Schistosoma japonicum intermediate host, was calculated on the base of RS data and field measurements. The spatial distribution of oncomelania snails was explored using SITs in order to estimate the area surrounding the residents with transmission risk of schistosomiasis japonica. Our research result demonstrated: (1) the risk factors for the transmission of schistosomiasis japonica were closely related to the living environment of oncomelania snails. Key factors such as water distribution, ground temperature, ground humidity and vegetation index can be quickly obtained and calculated from RS images; (2) using GIS technology and a RS deduction technique along with statistical regression models, the density distribution model of oncomelania snails could be quickly built; (3) using SITs and analysis with overlaying population

  12. Better Informed Distance Geometry: Using What We Know To Improve Conformation Generation.

    PubMed

    Riniker, Sereina; Landrum, Gregory A

    2015-12-28

    Small organic molecules are often flexible, i.e., they can adopt a variety of low-energy conformations in solution that exist in equilibrium with each other. Two main search strategies are used to generate representative conformational ensembles for molecules: systematic and stochastic. In the first approach, each rotatable bond is sampled systematically in discrete intervals, limiting its use to molecules with a small number of rotatable bonds. Stochastic methods, on the other hand, sample the conformational space of a molecule randomly and can thus be applied to more flexible molecules. Different methods employ different degrees of experimental data for conformer generation. So-called knowledge-based methods use predefined libraries of torsional angles and ring conformations. In the distance geometry approach, on the other hand, a smaller amount of empirical information is used, i.e., ideal bond lengths, ideal bond angles, and a few ideal torsional angles. Distance geometry is a computationally fast method to generate conformers, but it has the downside that purely distance-based constraints tend to lead to distorted aromatic rings and sp(2) centers. To correct this, the resulting conformations are often minimized with a force field, adding computational complexity and run time. Here we present an alternative strategy that combines the distance geometry approach with experimental torsion-angle preferences obtained from small-molecule crystallographic data. The torsional angles are described by a previously developed set of hierarchically structured SMARTS patterns. The new approach is implemented in the open-source cheminformatics library RDKit, and its performance is assessed by comparing the diversity of the generated ensemble and the ability to reproduce crystal conformations taken from the crystal structures of small molecules and protein-ligand complexes.

  13. Demonstration of a vapor-density monitoring system using UV radiation generated from waveguide quasi-phase-matched SHG waveguide devices

    NASA Astrophysics Data System (ADS)

    Galanti, Shirley A.; Berzins, Leon V.; Brown, J. B.; Tamosaitis, Robert S.; Bortz, Michael L.; Day, Timothy; Fejer, Martin M.; Wang, Weizhi

    1996-05-01

    Many industrial application require non-intrusive diagnostics for process monitoring and control. One example is the physical vapor deposition of titanium alloys. In this paper we present a system based on laser absorption spectroscopy for monitoring titanium vapor. Appropriate transitions for monitoring high rate vaporization of titanium require extension of available IR diode technology to the UV. The heart of this vapor density monitoring system is the 390 nm radiation generated from quasi-phase matched interactions within periodically poled waveguides. In this paper, key system components of a UV laser absorption spectroscopy based system specific for titanium density monitoring are described. Analysis is presented showing the minimum power levels necessary from the ultraviolet laser source. Performance data for prototype systems using second harmonic generation waveguide technology is presented. Application of this technology to other alloy density monitoring systems is discussed.

  14. Generation and characterization of quinolone-specific DNA aptamers suitable for water monitoring.

    PubMed

    Reinemann, C; Freiin von Fritsch, U; Rudolph, S; Strehlitz, B

    2016-03-15

    Quinolones are antibiotics that are accredited in human and veterinary medicine but are regularly used in high quantities also in industrial livestock farming. Since these compounds are often only incompletely metabolized, significant amounts contaminate the aquatic environment and negatively impact on a variety of different ecosystems. Although there is increasing awareness of problems caused by pharmaceutical pollution, available methods for the detection and elimination of numerous pharmaceutical residues are currently inefficient or expensive. While this also applies to antibiotics that may lead to multi-drug resistance in pathogenic bacteria, aptamer-based technologies potentially offer alternative approaches for sensitive and efficient monitoring of pharmaceutical micropollutants. Using the Capture-SELEX procedure, we here describe the selection of an aptamer pool with enhanced binding qualities for fluoroquinolones, a widely used group of antibiotics in both human and veterinary medicine. The selected aptamers were shown to detect various quinolones with high specificity, while specific binding activities to structurally unrelated drugs were not detectable. The quinolone-specific aptamers bound to ofloxacin, one of the most frequently prescribed fluoroquinolone, with high affinity (KD=0.1-56.9 nM). The functionality of quinolone-specific aptamers in real water samples was demonstrated in local tap water and in effluents of sewage plants. Together, our data suggest that these aptamers may be applicable as molecular receptors in biosensors or as catcher molecules in filter systems for improved monitoring and treatment of polluted water.

  15. SEMAT — The Next Generation of Inexpensive Marine Environmental Monitoring and Measurement Systems

    PubMed Central

    Trevathan, Jarrod; Johnstone, Ron; Chiffings, Tony; Atkinson, Ian; Bergmann, Neil; Read, Wayne; Theiss, Susan; Myers, Trina; Stevens, Tom

    2012-01-01

    There is an increasing need for environmental measurement systems to further science and thereby lead to improved policies for sustainable management. Marine environments are particularly hostile and extremely difficult for deploying sensitive measurement systems. As a consequence the need for data is greatest in marine environments, particularly in the developing economies/regions. Expense is typically the most significant limiting factor in the number of measurement systems that can be deployed, although technical complexity and the consequent high level of technical skill required for deployment and servicing runs a close second. This paper describes the Smart Environmental Monitoring and Analysis Technologies (SEMAT) project and the present development of the SEMAT technology. SEMAT is a “smart” wireless sensor network that uses a commodity-based approach for selecting technologies most appropriate to the scientifically driven marine research and monitoring domain/field. This approach allows for significantly cheaper environmental observation systems that cover a larger geographical area and can therefore collect more representative data. We describe SEMAT's goals, which include: (1) The ability to adapt and evolve; (2) Underwater wireless communications; (3) Short-range wireless power transmission; (4) Plug and play components; (5) Minimal deployment expertise; (6) Near real-time analysis tools; and (7) Intelligent sensors. This paper illustrates how the capacity of the system has been improved over three iterations towards realising these goals. The result is an inexpensive and flexible system that is ideal for short-term deployments in shallow coastal and other aquatic environments. PMID:23012567

  16. Peer-Generated Health Information: The Role of Online Communities in Patient and Caregiver Health Decisions.

    PubMed

    Rupert, Douglas J; Gard Read, Jennifer; Amoozegar, Jacqueline B; Moultrie, Rebecca R; Taylor, Olivia M; O'Donoghue, Amie C; Sullivan, Helen W

    2016-11-01

    Individuals increasingly access peer-generated health information (PGHI) through social media, especially online health communities (OHCs). Previous research has documented PGHI topics, credibility assessment strategies, and PGHI's connection with well-being. However, there is limited evidence on where, when, and why individuals seek PGHI and how they use PGHI in health decisions. We conducted in-person and online focus groups with verified OHC members (N = 89)-representing 50 different medical conditions and 77 OHCs-to explore these topics. Two researchers independently coded transcripts with NVivo 9.2 and thematically analyzed responses. Most individuals accidentally discovered PGHI during Web searches rather than intentionally seeking it. Individuals valued PGHI primarily as an alternative information source about treatment options, self-care activities, and health care provider questions rather than a source of emotional support, and they acknowledged PGHI's limitation as anecdotal evidence. Individuals used PGHI as a springboard for additional research and patient-provider discussions, ultimately making treatment decisions alongside providers. These findings suggest that individuals use PGHI in much the same way they use traditional online health information and that PGHI facilitates, rather than obstructs, shared decision making with health care providers.

  17. Cerro Prieto Contents of the Technical Information Files Generated at the Field

    SciTech Connect

    Olmos, Miguel Angel Ayuso

    1987-01-20

    The creation of a computer data bank for the Cerro Prieto Geothermal Field, resulted from the need for fast and flexible management of the increasing and voluminous information generated from the large number of wells drilled in recent years. The data are needed for updating the thermodynamic evolution of the field in order to define field history and validate mathematical analyses applications. This data bank compiles 20 files with all technical information issued from the time of initial field exploration to the end of 1986. To use the data bank, a series of programs and subroutines were created simultaneously for data base management to allow access and add new data as well as data analysis and data graphics. Tables of global statistics of the informations contained in the 20 files are shown in the paper, as an example of one application of the general use of the data base. For particular and specific applications, depending on users’ needs for the data. 3 tabs., 1 fig.

  18. Making smart social judgments takes time: infants' recruitment of goal information when generating action predictions.

    PubMed

    Krogh-Jespersen, Sheila; Woodward, Amanda L

    2014-01-01

    Previous research has shown that young infants perceive others' actions as structured by goals. One open question is whether the recruitment of this understanding when predicting others' actions imposes a cognitive challenge for young infants. The current study explored infants' ability to utilize their knowledge of others' goals to rapidly predict future behavior in complex social environments and distinguish goal-directed actions from other kinds of movements. Fifteen-month-olds (N = 40) viewed videos of an actor engaged in either a goal-directed (grasping) or an ambiguous (brushing the back of her hand) action on a Tobii eye-tracker. At test, critical elements of the scene were changed and infants' predictive fixations were examined to determine whether they relied on goal information to anticipate the actor's future behavior. Results revealed that infants reliably generated goal-based visual predictions for the grasping action, but not for the back-of-hand behavior. Moreover, response latencies were longer for goal-based predictions than for location-based predictions, suggesting that goal-based predictions are cognitively taxing. Analyses of areas of interest indicated that heightened attention to the overall scene, as opposed to specific patterns of attention, was the critical indicator of successful judgments regarding an actor's future goal-directed behavior. These findings shed light on the processes that support "smart" social behavior in infants, as it may be a challenge for young infants to use information about others' intentions to inform rapid predictions.

  19. Comprehensive Seismic Monitoring for Emergency Response and Hazards Assessment: Recent Developments at the USGS National Earthquake Information Center

    NASA Astrophysics Data System (ADS)

    Buland, R. P.; Guy, M.; Kragness, D.; Patton, J.; Erickson, B.; Morrison, M.; Bryon, C.; Ketchum, D.; Benz, H.

    2009-12-01

    The USGS National Earthquake Information Center (NEIC) has put into operation a new generation of seismic acquisition, processing and distribution subsystems that seamlessly integrate regional, national and global seismic network data for routine monitoring of earthquake activity and response to large, damaging earthquakes. The system, Bulletin Hydra, was designed to meet Advanced National Seismic System (ANSS) design goals to handle thousands of channels of real-time seismic data, compute and distribute time-critical seismic information for emergency response applications, and manage the integration of contributed earthquake products and information, arriving from near-real-time up to six weeks after an event. Bulletin Hydra is able meet these goals due to a modular, scalable, and flexible architecture that supports on-the-fly consumption of new data, readily allows for the addition of new scientific processing modules, and provides distributed client workflow management displays. Through the Edge subsystem, Bulletin Hydra accepts waveforms in half a dozen formats. In addition, Bulletin Hydra accepts contributed seismic information including hypocenters, magnitudes, moment tensors, unassociated and associated picks, and amplitudes in a variety of formats including earthworm import/export pairs and EIDS. Bulletin Hydra has state-driven algorithms for computing all IASPEI standard magnitudes (e.g. mb, mb_BB, ML, mb_LG, Ms_20, and Ms_BB) as well as Md, Ms(VMAX), moment tensor algorithms for modeling different portions of the wave-field at different distances (e.g. teleseismic body-wave, centroid, and regional moment tensors), and broadband depth. All contributed and derived data are centrally managed in an Oracle database. To improve on single station observations, Bulletin Hydra also does continuous real-time beam forming of high-frequency arrays. Finally, workflow management displays are used to assist NEIC analysts in their day-to-day duties. All combined

  20. Making Sense of Mobile- and Web-Based Wellness Information Technology: Cross-Generational Study

    PubMed Central

    Shankar, Kalpana; Connelly, Kay

    2013-01-01

    Background A recent trend in personal health and wellness management is the development of computerized applications or information and communication technologies (ICTs) that support behavioral change, aid the management of chronic conditions, or help an individual manage their wellness and engage in a healthier lifestyle. Objective To understand how individuals across 3 generations (young, middle-aged, and older) think about the design and use of collaborative health and wellness management technologies and what roles these could take in their lives. Methods Face-to-face semistructured interviews, paper prototype systems, and video skits were used to assess how individuals from 3 age cohorts (young: 18-25 years; middle-aged: 35-50 years; and older: ≥65 years) conceptualize the role that health and wellness computing could take in their lives. Results A total of 21 participants in the 3 age cohorts took part (young: n=7; middle-aged: n=7; and older: n=7). Young adults expected to be able to actively manage the presentation of their health-related information. Middle-aged adults had more nuanced expectations that reflect their engagement with work and other life activities. Older adults questioned the sharing of health information with a larger audience, although they saw the value in 1-way sharing between family members or providing aggregated information. Conclusions Our findings inform our suggestions for improving the design of future collaborative health and wellness applications that target specific age groups. We recommend that collaborative ICT health applications targeting young adults should integrate with existing social networking sites, whereas those targeting middle-aged and older adults should support small social networks that rely on intimate personal relationships. Systems that target middle-aged adults should support episodic needs, such as time-sensitive, perhaps intermittent, goal setting. They should also have a low barrier to entry, allowing

  1. Monitoring of collagen shrinkage by use of second harmonic generation microscopy

    NASA Astrophysics Data System (ADS)

    Lin, Sung-Jan; Chen, Jau-Shiuh; Lo, Wen; Sun, Yen; Chen, Wei-Liang; Chan, Jung-Yi; Tan, Hsin-Yuan; Lin, Wei-Chou; Hsu, Chih-Jung; Young, Tai-Horng; Jee, Shiou-Hwa; Dong, Chen-Yuan

    2006-02-01

    Thermal treatment induced collagen shrinkage has a great number of applications in medical practice. Clinically, the there is lack of reliable non-invasive methods to quantify the shrinkage. Overt treatment by heat application can lead to devastating results. We investigate the serial changes of collagen shrinkage by thermal treatment of rat tail tendons. The change in length is correlated with the finding in second harmonic generation microscopy and histology. Rat tail tendon shortens progressively during initial thermal treatment. After a certain point in time, the length then remains almost constant despite further thermal treatment. The intensity of second harmonic generation signals also progressively decreases initially and then remains merely detectable upon further thermal treatment. It prompts us to develop a mathematic model to quantify the dependence of collagen shrinkage on changes of SHG intensity. Our results show that SHG intensity can be used to predict the degree of collagen shrinkage during thermal treatment for biomedical applications.

  2. Information to support to monitoring and habitat restoration on Ash Meadows National Wildlife Refuge

    USGS Publications Warehouse

    Scoppettone, G. Gary

    2013-01-01

    for monitoring native fish populations in relation to restoration efforts on the Ash Meadows National Wildlife Refuge. There are no precise records on conditions of each of the spring systems prior to anthropogenic alteration; however, fostering conditions that favor native over non-natives will be key to habitat restoration. Information regarding native species carbon source is needed to create habitat that favors native species, thus habitat restoration fostering food stuff consumed by native species should be considered in restoration efforts. In compiling data for the first part of this report, we tracked carbon source for native and non-native species at four stations along the Jackrabbit Spring system. Thus, we were able to contrast carbon source in warm- and cool-water habitats. Habitat in Jackrabbit Spring was improved for native fishes in 2007. The second paper in this report focuses on native fish populations in Jackrabbit Spring system pre- and post-restoration. Much of the Ash Meadows Oases is marsh habitat where non-native red swamp crayfish and western mosquitofish are often abundant, to the detriment of non-natives. Because marsh habitat is broadly represented in the Ash Meadows landscape, establishing marsh habitat most conducive to the native fishes is important to the restoration effort, and the third paper addresses marsh habitat type with the relative abundance of fishes and crayfish. There are previous years of monitoring Ash Meadows’ native fish populations, but not all monitoring occurred at the same time of year. Desert-fish populations sometimes undergo seasonal fluctuation, so it might not be valid to compare population trends using difference seasons. For report four, we tracked a closed population of Amargosa pupfish (Cyprinodon nevadensis) year round to track seasonal trends. Knowledge of seasonal trends is important in tracking changes of populations pre- and post-restoration.

  3. Determination of In Situ-Generated Dimethyldioxirane From an Aqueous Matrix Using Selected Ion Monitoring

    DTIC Science & Technology

    2005-07-01

    public release; distribution unlimited. Published in Journal of Chromatography A, 1089 (2005) 211-218. AIRBASE TECHNOLOGIES DIVISION...area code) Journal of Chromatography A, 1089 (2005) 211–218 Determination of in situ-generated dimethyldioxirane from an aqueous matrix using...see front matter © 2005 Elsevier B.V. All rights reserved. oi:10.1016/j.chroma.2005.06.018 212 C.A. Delcomyn et al. / J. Chromatogr. A 1089 (2005

  4. Generations.

    PubMed

    Chambers, David W

    2005-01-01

    Groups naturally promote their strengths and prefer values and rules that give them an identity and an advantage. This shows up as generational tensions across cohorts who share common experiences, including common elders. Dramatic cultural events in America since 1925 can help create an understanding of the differing value structures of the Silents, the Boomers, Gen Xers, and the Millennials. Differences in how these generations see motivation and values, fundamental reality, relations with others, and work are presented, as are some applications of these differences to the dental profession.

  5. Development of Landsat Information Products to Support Land Change Monitoring, Assessment, and Projection (lcmap)

    NASA Astrophysics Data System (ADS)

    Dwyer, J. L.

    2014-12-01

    The USGS operates the Landsat series of satellite missions that systematically collect multispectral imagery over the Earth's sunlit landmasses. These data have always been publicly available on a nondiscriminatory basis, but since 2008 these data have been accessible at no cost to the user community. This change in the Landsat data policy has revolutionized the use of Landsat data for scientific research and applications, enabling the construction of time series of observations with which to establish historical trends in land cover state and condition. The USGS provides interdisciplinary scientific expertise to the U.S. Department of the Interior to support the stewardship and management of more 500 million acres of Federal lands. Landsat data serve as the basis from which numerous information products can be derived in order to map, monitor, and assess the natural and human-induced impacts on the landscape and natural resources. By leveraging capabilities developed through programs such as the NASA Earth Observing System, scientific algorithms and data processing capabilities can be used to retrieve geophysical and biophysical parameters from Landsat data that can be integrated with in situ observations and other remotely sensed and geospatial data for use in process modeling and decision-making.

  6. Operation Reliability Assessment for Cutting Tools by Applying a Proportional Covariate Model to Condition Monitoring Information

    PubMed Central

    Cai, Gaigai; Chen, Xuefeng; Li, Bing; Chen, Baojia; He, Zhengjia

    2012-01-01

    The reliability of cutting tools is critical to machining precision and production efficiency. The conventional statistic-based reliability assessment method aims at providing a general and overall estimation of reliability for a large population of identical units under given and fixed conditions. However, it has limited effectiveness in depicting the operational characteristics of a cutting tool. To overcome this limitation, this paper proposes an approach to assess the operation reliability of cutting tools. A proportional covariate model is introduced to construct the relationship between operation reliability and condition monitoring information. The wavelet packet transform and an improved distance evaluation technique are used to extract sensitive features from vibration signals, and a covariate function is constructed based on the proportional covariate model. Ultimately, the failure rate function of the cutting tool being assessed is calculated using the baseline covariate function obtained from a small sample of historical data. Experimental results and a comparative study show that the proposed method is effective for assessing the operation reliability of cutting tools. PMID:23201980

  7. Operation reliability assessment for cutting tools by applying a proportional covariate model to condition monitoring information.

    PubMed

    Cai, Gaigai; Chen, Xuefeng; Li, Bing; Chen, Baojia; He, Zhengjia

    2012-09-25

    The reliability of cutting tools is critical to machining precision and production efficiency. The conventional statistic-based reliability assessment method aims at providing a general and overall estimation of reliability for a large population of identical units under given and fixed conditions. However, it has limited effectiveness in depicting the operational characteristics of a cutting tool. To overcome this limitation, this paper proposes an approach to assess the operation reliability of cutting tools. A proportional covariate model is introduced to construct the relationship between operation reliability and condition monitoring information. The wavelet packet transform and an improved distance evaluation technique are used to extract sensitive features from vibration signals, and a covariate function is constructed based on the proportional covariate model. Ultimately, the failure rate function of the cutting tool being assessed is calculated using the baseline covariate function obtained from a small sample of historical data. Experimental results and a comparative study show that the proposed method is effective for assessing the operation reliability of cutting tools.

  8. A lipoprotein/β-barrel complex monitors lipopolysaccharide integrity transducing information across the outer membrane

    PubMed Central

    Konovalova, Anna; Mitchell, Angela M; Silhavy, Thomas J

    2016-01-01

    Lipoprotein RcsF is the OM component of the Rcs envelope stress response. RcsF exists in complexes with β-barrel proteins (OMPs) allowing it to adopt a transmembrane orientation with a lipidated N-terminal domain on the cell surface and a periplasmic C-terminal domain. Here we report that mutations that remove BamE or alter a residue in the RcsF trans-lumen domain specifically prevent assembly of the interlocked complexes without inactivating either RcsF or the OMP. Using these mutations we demonstrate that these RcsF/OMP complexes are required for sensing OM outer leaflet stress. Using mutations that alter the positively charged surface-exposed domain, we show that RcsF monitors lateral interactions between lipopolysaccharide (LPS) molecules. When these interactions are disrupted by cationic antimicrobial peptides, or by the loss of negatively charged phosphate groups on the LPS molecule, this information is transduced to the RcsF C-terminal signaling domain located in the periplasm to activate the stress response. DOI: http://dx.doi.org/10.7554/eLife.15276.001 PMID:27282389

  9. A Greenhouse-Gas Information System: Monitoring and Validating Emissions Reporting and Mitigation

    SciTech Connect

    Jonietz, Karl K.; Dimotakis, Paul E.; Walker, Bruce C.

    2011-09-26

    This study and report focus on attributes of a greenhouse-gas information system (GHGIS) needed to support MRV&V needs. These needs set the function of such a system apart from scientific/research monitoring of GHGs and carbon-cycle systems, and include (not exclusively): the need for a GHGIS that is operational, as required for decision-support; the need for a system that meets specifications derived from imposed requirements; the need for rigorous calibration, verification, and validation (CV&V) standards, processes, and records for all measurement and modeling/data-inversion data; the need to develop and adopt an uncertainty-quantification (UQ) regimen for all measurement and modeling data; and the requirement that GHGIS products can be subjected to third-party questioning and scientific scrutiny. This report examines and assesses presently available capabilities that could contribute to a future GHGIS. These capabilities include sensors and measurement technologies; data analysis and data uncertainty quantification (UQ) practices and methods; and model-based data-inversion practices, methods, and their associated UQ. The report further examines the need for traceable calibration, verification, and validation processes and attached metadata; differences between present science-/research-oriented needs and those that would be required for an operational GHGIS; the development, operation, and maintenance of a GHGIS missions-operations center (GMOC); and the complex systems engineering and integration that would be required to develop, operate, and evolve a future GHGIS.

  10. A new approach to generating research-quality phenology data: The USA National Phenology Monitoring System

    NASA Astrophysics Data System (ADS)

    Denny, Ellen; Miller-Rushing, Abraham; Haggerty, Brian; Wilson, Bruce; Weltzin, Jake

    2010-05-01

    The USA National Phenology Network (www.usanpn.org) has recently initiated a national effort to encourage people at different levels of expertise—from backyard naturalists to professional scientists—to observe phenological events and contribute to a national database that will be used to greatly improve our understanding of spatio-temporal variation in phenology and associated phenological responses to climate change. Traditional phenological observation protocols identify specific single dates at which individual phenological events are observed, but the scientific usefulness of long-term phenological observations can be improved with a more carefully structured protocol. At the USA-NPN we have developed a new approach that directs observers to record each day that they observe an individual plant, and to assess and report the state of specific life stages (or phenophases) as occurring or not occurring on that plant for each observation date. Evaluation is phrased in terms of simple, easy-to-understand, questions (e.g. "Do you see open flowers?"), which makes it very appropriate for a broad audience. From this method, a rich dataset of phenological metrics can be extracted, including the duration of a phenophase (e.g. open flowers), the beginning and end points of a phenophase (e.g. traditional phenological events such as first flower and last flower), multiple distinct occurrences of phenophases within a single growing season (e.g multiple flowering events, common in drought-prone regions), as well as quantification of sampling frequency and observational uncertainties. The system also includes a mechanism for translation of phenophase start and end points into standard traditional phenological events to facilitate comparison of contemporary data collected with this new "phenophase status" monitoring approach to historical datasets collected with the "phenological event" monitoring approach. These features greatly enhance the utility of the resulting data for

  11. A new approach to generating research-quality phenology data: The USA National Phenology Monitoring System

    NASA Astrophysics Data System (ADS)

    Denny, E. G.; Miller-Rushing, A. J.; Haggerty, B. P.; Wilson, B. E.

    2009-12-01

    The USA National Phenology Network has recently initiated a national effort to encourage people at different levels of expertise—from backyard naturalists to professional scientists—to observe phenological events and contribute to a national database that will be used to greatly improve our understanding of spatio-temporal variation in phenology and associated phenological responses to climate change. Traditional phenological observation protocols identify specific single dates at which individual phenological events are observed, but the scientific usefulness of long-term phenological observations can be improved with a more carefully structured protocol. At the USA-NPN we have developed a new approach that directs observers to record each day that they observe an individual plant, and to assess and report the state of specific life stages (or phenophases) as occurring or not occurring on that plant for each observation date. Evaluation is phrased in terms of simple, easy-to-understand, questions (e.g. “Do you see open flowers?”), which makes it very appropriate for a broad audience. From this method, a rich dataset of phenological metrics can be extracted, including the duration of a phenophase (e.g. open flowers), the beginning and end points of a phenophase (e.g. traditional phenological events such as first flower and last flower), multiple distinct occurrences of phenophases within a single growing season (e.g multiple flowering events, common in drought-prone regions), as well as quantification of sampling frequency and observational uncertainties. The system also includes a mechanism for translation of phenophase start and end points into standard traditional phenological events to facilitate comparison of contemporary data collected with this new “phenophase status” monitoring approach to historical datasets collected with the “phenological event” monitoring approach. These features greatly enhance the utility of the resulting data for

  12. Land desertification monitoring and assessment in Yulin of Northwest China using remote sensing and geographic information systems (GIS).

    PubMed

    Zhang, Yuanzhi; Chen, Zhengyi; Zhu, Boqin; Luo, Xiuyue; Guan, Yanning; Guo, Shan; Nie, Yueping

    2008-12-01

    The objective of this study is to develop techniques for assessing and analysing land desertification in Yulin of Northwest China, as a typical monitoring region through the use of remotely sensed data and geographic information systems (GIS). The methodology included the use of Landsat TM data from 1987, 1996 and 2006, supplemented by aerial photos in 1960, topographic maps, field work and use of other existing data. From this, land cover, the Normalised Difference Vegetation Index (NDVI), farmland, woodland and grassland maps at 1:100,000 were prepared for land desertification monitoring in the area. In the study, all data was entered into a GIS using ILWIS software to perform land desertification monitoring. The results indicate that land desertification in the area has been developing rapidly during the past 40 years. Although land desertification has to some extent been controlled in the area by planting grasses and trees, the issue of land desertification is still serious. The study also demonstrates an example of why the integration of remote sensing with GIS is critical for the monitoring of environmental changes in arid and semi-arid regions, e.g. in land desertification monitoring in the Yulin pilot area. However, land desertification monitoring using remote sensing and GIS still needs to be continued and also refined for the purpose of long-term monitoring and the management of fragile ecosystems in the area.

  13. Information Technology in Critical Care: Review of Monitoring and Data Acquisition Systems for Patient Care and Research

    PubMed Central

    De Georgia, Michael A.; Kaffashi, Farhad; Jacono, Frank J.; Loparo, Kenneth A.

    2015-01-01

    There is a broad consensus that 21st century health care will require intensive use of information technology to acquire and analyze data and then manage and disseminate information extracted from the data. No area is more data intensive than the intensive care unit. While there have been major improvements in intensive care monitoring, the medical industry, for the most part, has not incorporated many of the advances in computer science, biomedical engineering, signal processing, and mathematics that many other industries have embraced. Acquiring, synchronizing, integrating, and analyzing patient data remain frustratingly difficult because of incompatibilities among monitoring equipment, proprietary limitations from industry, and the absence of standard data formatting. In this paper, we will review the history of computers in the intensive care unit along with commonly used monitoring and data acquisition systems, both those commercially available and those being developed for research purposes. PMID:25734185

  14. Stationary distribution of self-organized states and biological information generation

    NASA Astrophysics Data System (ADS)

    Woo, Hyung Jun

    2013-11-01

    Self-organization, where spontaneous orderings occur under driven conditions, is one of the hallmarks of biological systems. We consider a statistical mechanical treatment of the biased distribution of such organized states, which become favored as a result of their catalytic activity under chemical driving forces. A generalization of the equilibrium canonical distribution describes the stationary state, which can be used to model shifts in conformational ensembles sampled by an enzyme in working conditions. The basic idea is applied to the process of biological information generation from random sequences of heteropolymers, where unfavorable Shannon entropy is overcome by the catalytic activities of selected genes. The ordering process is demonstrated with the genetic distance to a genotype with high catalytic activity as an order parameter. The resulting free energy can have multiple minima, corresponding to disordered and organized phases with first-order transitions between them.

  15. A greenhouse-gas information system monitoring and validating emissions reporting and mitigation

    SciTech Connect

    Jonietz, Karl K; Dimotakis, Paul E; Walker, Bruce C

    2011-09-26

    Current GHG-mitigating regimes, whether internationally agreed or self-imposed, rely on the aggregation of self-reported data, with limited checks for consistency and accuracy, for monitoring. As nations commit to more stringent GHG emissions-mitigation actions and as economic rewards or penalties are attached to emission levels, self-reported data will require independent confirmation that they are accurate and reliable, if they are to provide the basis for critical choices and actions that may be required. Supporting emissions-mitigation efforts and agreements, as well as monitoring energy- and fossil-fuel intensive national and global activities would be best achieved by a process of: (1) monitoring of emissions and emission-mitigation actions, based, in part, on, (2) (self-) reporting of pertinent bottom-up inventory data, (3) verification that reported data derive from and are consistent with agreed-upon processes and procedures, and (4) validation that reported emissions and emissions-mitigation action data are correct, based on independent measurements (top-down) derived from a suite of sensors in space, air, land, and, possibly, sea, used to deduce and attribute anthropogenic emissions. These data would be assessed and used to deduce and attribute measured GHG concentrations to anthropogenic emissions, attributed geographically and, to the extent possible, by economic sector. The validation element is needed to provide independent assurance that emissions are in accord with reported values, and should be considered as an important addition to the accepted MRV process, leading to a MRV&V process. This study and report focus on attributes of a greenhouse-gas information system (GHGIS) needed to support MRV&V needs. These needs set the function of such a system apart from scientific/research monitoring of GHGs and carbon-cycle systems, and include (not exclusively): the need for a GHGIS that is operational, as required for decision-support; the need for a

  16. Extracting More Information from Passive Optical Tracking Observations for Reliable Orbit Element Generation

    NASA Astrophysics Data System (ADS)

    Bennett, J.; Gehly, S.

    2016-09-01

    This paper presents results from a preliminary method for extracting more orbital information from low rate passive optical tracking data. An improvement in the accuracy of the observation data yields more accurate and reliable orbital elements. A comparison between the orbit propagations from the orbital element generated using the new data processing method is compared with the one generated from the raw observation data for several objects. Optical tracking data collected by EOS Space Systems, located on Mount Stromlo, Australia, is fitted to provide a new orbital element. The element accuracy is determined from a comparison between the predicted orbit and subsequent tracking data or reference orbit if available. The new method is shown to result in a better orbit prediction which has important implications in conjunction assessments and the Space Environment Research Centre space object catalogue. The focus is on obtaining reliable orbital solutions from sparse data. This work forms part of the collaborative effort of the Space Environment Management Cooperative Research Centre which is developing new technologies and strategies to preserve the space environment (www.serc.org.au).

  17. On information-provided monitoring of geodynamic processes in the Kuznetsk Coal Basin in the conditions of highly intensive sub-soil usage

    SciTech Connect

    Oparin, V.N.; Potapov, V.P.; Tanaino, A.S.

    2006-09-15

    It is shown that formation of underground hollows of the Kuznetsk Coal Basin (Kuzbass), induced by opencut and underground mining has reached an intensity of 1.3-1.5 million m{sup 3}/day. In the conditions of high concentration of mines and open-cuts in small areas, a regional monitoring network is required in view of a generated geomechanical space, hazardous in geodynamic manifestations. A developed information support of this network is presented, including information models of a geological environment and database obtained from instrumental observations on geomechanical processes. The equations of connection between structural and strength characteristics of rocks, their metamorphization grade and occurrence depth are given for five geological-tectonic zones of the Kuzbass as a way of prediction of their properties.

  18. Educating the Next Generation of Geoscientists: Strategies for Formal and Informal Settings

    NASA Astrophysics Data System (ADS)

    Burrell, S.

    2013-12-01

    ENGAGE, Educating the Next Generation of Geoscientists, is an effort funded by the National Science Foundation to provide academic opportunities for members of underrepresented groups to learn geology in formal and informal settings through collaboration with other universities and science organizations. The program design tests the hypothesis that developing a culture of on-going dialogue around science issues through special guest lectures and workshops, creating opportunities for mentorship through informal lunches, incorporating experiential learning in the field into the geoscience curriculum in lower division courses, partnership-building through the provision of paid summer internships and research opportunities, enabling students to participate in professional conferences, and engaging family members in science education through family science nights and special presentations, will remove the academic, social and economic obstacles that have traditionally hindered members of underrepresented groups from participation in the geosciences and will result in an increase in geoscience literacy and enrollment. Student feedback and anecdotal evidence indicate an increased interest in geology as a course of study and increased awareness of the relevance of geology everyday life. Preliminary statistics from two years of program implementation indicate increased student comprehension of Earth science concepts and ability to use data to identify trends in the natural environment.

  19. Indianapolis I3: the third generation Integrated Advanced Information Management Systems.

    PubMed

    McGowan, Julie J; Overhage, J Marc; Barnes, Mike; McDonald, Clement J

    2004-04-01

    In 2001, the Regenstrief Institute for Health Care and the Indiana University School of Medicine (IUSM) began an IAIMS planning effort to create a vision and a tactical plan for the first Integrated Advanced Information Management Systems (IAIMS) implementation to cross a large area and include unaffiliated institutions. A number of elements made this planning effort unique. Among these elements were the existence of a network infrastructure that supported the Indianapolis Network for Patient Care, the existence of a mature medical informatics program at the Regenstrief Institute, and the existence of a wide-area knowledge network fostered by the IUSM libraries. However, the leadership for a strong information technology role in the IUSM that could promote collaboration in support of education and research across the diverse Indianapolis hospital systems had been lacking. By bringing together various groups, each with a commitment to improve health care quality and public health across the Indianapolis metropolitan area, regardless of individual institutional affiliation, the strategic directions for I3-Indianapolis IAIMS Initiative have been defined and the foundations for a third generation IAIMS construct have been laid in Indianapolis, Indiana.

  20. A simple DVH generation technique for various radiotherapy treatment planning systems for an independent information system

    NASA Astrophysics Data System (ADS)

    Min, Byung Jun; Nam, Heerim; Jeong, Il Sun; Lee, Hyebin

    2015-07-01

    In recent years, the use of a picture archiving and communication system (PACS) for radiation therapy has become the norm in hospital environments and has been suggested for collecting and managing data using Digital Imaging and Communication in Medicine (DICOM) objects from different treatment planning systems (TPSs). However, some TPSs do not provide the ability to export the dose-volume histogram (DVH) in text or other format. In addition, plan review systems for various TPSs often allow DVH recalculations with different algorithms. These algorithms result in inevitable discrepancies between the values obtained with the recalculation and those obtained with TPS itself. The purpose of this study was to develop a simple method for generating reproducible DVH values by using the TPSs. Treatment planning information, including structures and delivered dose, was exported in the DICOM format from the Eclipse v8.9 or the Pinnacle v9.6 planning systems. The supersampling and trilinear interpolation methods were employed to calculate the DVH data from 35 treatment plans. The discrepancies between the DVHs extracted from each TPS and those extracted by using the proposed calculation method were evaluated with respect to the supersampling ratio. The volume, minimum dose, maximum dose, and mean dose were compared. The variations in DVHs from multiple TPSs were compared by using the MIM software v6.1, which is a commercially available treatment planning comparison tool. The overall comparisons of the volume, minimum dose, maximum dose, and mean dose showed that the proposed method generated relatively smaller discrepancies compared with TPS than the MIM software did compare with the TPS. As the structure volume decreased, the overall percent difference increased. The largest difference was observed in small organs such as the eye ball, eye lens, and optic nerve which had volume below 10 cc. A simple and useful technique was developed to generate a DVH with an acceptable

  1. Generating River Discharge Estimates for the Bay of Bengal using NASA's Land Information System

    NASA Astrophysics Data System (ADS)

    Brown, J. E.

    2006-05-01

    The Bay of Bengal, the Andaman Sea, and their respective catchment areas present an exciting area for a focused case study of the global water cycle. In this study NASA's Land Information System (LIS) and the community (National Centers for Environmental Prediction, Oregon State University, Air Force, Hydrologic Research Lab) NOAH land-surface model are used to generate river runoff estimates using two approaches to simulate river routing. The first method involves developing a river travel-time map for every grid point in the catchment area. Along stream distance information comes from the University of New Hampshire's 30-minute Simulated Topological Network (STN-30) artificial river network. Velocity information is determined for each network point utilizing NOAA's 2-minute global relief data (ETOPO2). Travel times equaled one month or less for most of the study area except for the headwaters of the Ganges and Brahmaputra rivers which were longer. Daily values of 0.25 deg spatial resolution surface runoff generated from LIS, were sub-totaled according to each river basin and added up on a monthly basis. The model was forced using NOAA's Climate Prediction Center Merged Analysis of Precipitation (CMAP) precipitation product with NASA's Goddard Earth Observing System Data Assimilation System (GEOS) numerical weather model. A first test was conducted for the year 2002. LIS/NOAH-generated surface runoff for the Ganges/Brahmaputra combined basin for August 2002 equaled 17.5× 103 kg/m/day which converts to a river discharge estimate of 303×106 m3/sec. For the predictions from this simple approach to agree with observations from the Global Runoff Data Centre (GRDC) less than 1% of the rainfall can exit the Ganges/Brahmaputra basin as river discharge. The second method involves adapting the University of Washington's Variable Infiltration Capacity (VIC) routing model to handle the LIS surface and sub-surface runoff. Flow direction was along the STN-30 network, flow

  2. Monitoring process of human keloid formation based on second harmonic generation imaging

    NASA Astrophysics Data System (ADS)

    Jiang, X. S.; Chen, S.; Chen, J. X.; Zhu, X. Q.; Zheng, L. Q.; Zhuo, S. M.; Wang, D. J.

    2011-09-01

    In this paper, the morphological variation of collagen among the whole dermis from keloid tissue was investigated using second harmonic generation (SHG) microscopy. In the deep dermis of keloids, collagen bundles show apparently regular gap. In the middle dermis, the collagen bundles are randomly oriented and loosely arranged in the pattern of fine mesh while the collagen bundles are organized in a parallel manner in the superficial dermis near the epidermis. The developed parameters COI and BD can be used to further quantitatively describe these changes. Our results demonstrate the potential of SHG microscopy to understand the formation process of human keloid scar at the cellular level through imaging collagen variations in different depth of dermis.

  3. Three generations of wireless sensor networks to monitor the soil ecosystem (Invited)

    NASA Astrophysics Data System (ADS)

    Szlavecz, K. A.

    2013-12-01

    Capturing soil spatio-temporal heterogeneity is a considerable challenge. We designed, built and deployed three generations of wireless sensor networks to measure soil temperature, moisture, CO2 concentration and efflux. In the past eight years the system was tested in a high altitude desert, tropical and temperate forests, and in croplands. We developed Grazor, a graphic web interface for visualizing, exploring, and downloading data. Since 2005, our first field deployment, we have collected over 160 million data points, all stored in our persistent database. Our largest and longest experiment took place in a residential neighborhood in Baltimore, MD. A total of 108 soil moisture sensors were installed in urban soils covered by forest and grass. The system successfully captured spatial heterogeneity, transient events, such as Hurricane Irene, and highlighted habitat differences. However, issues such as waterproofing, battery consumption, mote failure and scale of deployment still need to be addressed. Improvements in our third generation hardware and software are based upon lessons learned from earlier deployments. In the new hardware, rather than having a single device that does everything (analog sensing, data storage, and routing), we have developed an analog sensor board and a separate wireless sensor mote. The latter can be configured as a leaf (with an antenna printed directly on the circuit board) or as a router (with a power amplifier and an external antenna connector). Additional sensors with an industry standard I2C interface can also be connected to the mote. The cost of each unit is 20$, and the software is user friendly for the non-computer scientist. We are currently testing this system in the Smithsonian Environmental Research Center, MD. Cumulative number of data collected in the Life Under Your Feet project. Major hardware changes are marked with vertical lines, while horizontal lines show the start and end of deployments.

  4. On-Line Monitoring and Diagnostics of the Integrity of Nuclear Plant Steam Generators and Heat Exchangers, Volumes 1, 2

    SciTech Connect

    Upadhyaya, Belle R.; Hines, J. Wesley; Lu, Baofu

    2005-06-03

    The overall purpose of this Nuclear Engineering Education Research (NEER) project was to integrate new, innovative, and existing technologies to develop a fault diagnostics and characterization system for nuclear plant steam generators (SG) and heat exchangers (HX). Issues related to system level degradation of SG and HX tubing, including tube fouling, performance under reduced heat transfer area, and the damage caused by stress corrosion cracking, are the important factors that influence overall plant operation, maintenance, and economic viability of nuclear power systems. The research at The University of Tennessee focused on the development of techniques for monitoring process and structural integrity of steam generators and heat exchangers. The objectives of the project were accomplished by the completion of the following tasks. All the objectives were accomplished during the project period. This report summarizes the research and development activities, results, and accomplishments during June 2001 September 2004. Development and testing of a high-fidelity nodal model of a U-tube steam generator (UTSG) to simulate the effects of fouling and to generate a database representing normal and degraded process conditions. Application of the group method of data handling (GMDH) method for process variable prediction. Development of a laboratory test module to simulate particulate fouling of HX tubes and its effect on overall thermal resistance. Application of the GMDH technique to predict HX fluid temperatures, and to compare with the calculated thermal resistance.Development of a hybrid modeling technique for process diagnosis and its evaluation using laboratory heat exchanger test data. Development and testing of a sensor suite using piezo-electric devices for monitoring structural integrity of both flat plates (beams) and tubing. Experiments were performed in air, and in water with and without bubbly flow. Development of advanced signal processing methods using

  5. Precipitation variability within an urban monitoring network in terms of microcanonical cascade generators

    NASA Astrophysics Data System (ADS)

    Licznar, P.; De Michele, C.; Adamowski, W.

    2014-05-01

    Understanding the variability of precipitation at small scales is fundamental in urban hydrology. Stochastic models of precipitation are required to feed hydrodynamic models with high resolution data, in order to obtain a probabilistic assessment of urban drainage networks. Microcanonical random cascades are considered here to represent precipitation time series collected in 25 gauges of a monitoring network in Warsaw, Poland. Breakdown coefficients (BDCs) are calculated separately for a hierarchy of subdaily timescales from 5 min (time resolution) to 1280 min, for all gauges. Strong deformations of BDC histograms in form of sharp peaks at small timescales are observed due to the truncation of precipitation depths recorded by gauges. Satisfactory smoothing of empirical BDC histograms is obtained statistically by a slight randomization of nonzero precipitation amounts. The scarce representation of BDCs at large timescales, due to the short period of observation, is solved by the introduction of an algorithm based on overlapping moving windows. BDC histograms are modeled by a 2N-B distribution, which combines two Normal (N) and one Beta (B) distribution. A clear evolution of the distribution from 2N-B at small timescales, to N-B at intermediate timescales, and finally to Beta distribution for large timescales is observed in all gauges. The performance of the microcanonical cascades is evaluated for the considered gauges. Synthetic time series are analyzed with respect to their intermittency and variability of intensity, and compared to observed series. BDC histograms, for each timescale, are compared among the 25 gauges in Warsaw, and with other gauges located in Poland and Germany. The cluster analysis is used to identify patterns of BDC histograms among analyzed set of gauges and timescales, as well as to detect outlier gauges.

  6. Plasma-Generating Glucose Monitor Accuracy Demonstrated in an Animal Model

    PubMed Central

    Magarian, Peggy; Sterling, Bernhard

    2009-01-01

    Introduction Four randomized controlled trials have compared mortality and morbidity of tight glycemic control versus conventional glucose for intensive care unit (ICU) patients. Two trials showed a positive outcome. However, one single-center trial and a large multicenter trial had negative results. The positive trials used accurate portable lab analyzers. The negative trial allowed the use of meters. The portable analyzer measures in filtered plasma, minimizing the interference effects. OptiScan Biomedical Corporation is developing a continuous glucose monitor using centrifuged plasma and mid-infrared spectroscopy for use in ICU medicine. The OptiScanner draws approximately 0.1 ml of blood every 15 min and creates a centrifuged plasma sample. Internal quality control minimizes sample preparation error. Interference adjustment using this technique has been presented at the Society of Critical Care Medicine in separate studies since 2006. Method A good laboratory practice study was conducted on three Yorkshire pigs using a central venous catheter over 6 h while performing a glucose challenge. Matching Yellow Springs Instrument glucose readings were obtained. Results Some 95.7% of the predicted values were in the Clarke Error Grid A zone and 4.3% in the B zone. Of those in the B zone, all were within 3.3% of the A zone boundaries. The coefficient of determination (R2) was 0.993. The coefficient of variance was 5.02%. Animal necropsy and blood panels demonstrated safety. Conclusion The OptiScanner investigational device performed safely and accurately in an animal model. Human studies using the device will begin soon. PMID:20144396

  7. A decision tree model to estimate the value of information provided by a groundwater quality monitoring network

    NASA Astrophysics Data System (ADS)

    Khader, A.; Rosenberg, D.; McKee, M.

    2012-12-01

    Nitrate pollution poses a health risk for infants whose freshwater drinking source is groundwater. This risk creates a need to design an effective groundwater monitoring network, acquire information on groundwater conditions, and use acquired information to inform management. These actions require time, money, and effort. This paper presents a method to estimate the value of information (VOI) provided by a groundwater quality monitoring network located in an aquifer whose water poses a spatially heterogeneous and uncertain health risk. A decision tree model describes the structure of the decision alternatives facing the decision maker and the expected outcomes from these alternatives. The alternatives include: (i) ignore the health risk of nitrate contaminated water, (ii) switch to alternative water sources such as bottled water, or (iii) implement a previously designed groundwater quality monitoring network that takes into account uncertainties in aquifer properties, pollution transport processes, and climate (Khader and McKee, 2012). The VOI is estimated as the difference between the expected costs of implementing the monitoring network and the lowest-cost uninformed alternative. We illustrate the method for the Eocene Aquifer, West Bank, Palestine where methemoglobinemia is the main health problem associated with the principal pollutant nitrate. The expected cost of each alternative is estimated as the weighted sum of the costs and probabilities (likelihoods) associated with the uncertain outcomes resulting from the alternative. Uncertain outcomes include actual nitrate concentrations in the aquifer, concentrations reported by the monitoring system, whether people abide by manager recommendations to use/not-use aquifer water, and whether people get sick from drinking contaminated water. Outcome costs include healthcare for methemoglobinemia, purchase of bottled water, and installation and maintenance of the groundwater monitoring system. At current

  8. A decision tree model to estimate the value of information provided by a groundwater quality monitoring network

    NASA Astrophysics Data System (ADS)

    Khader, A. I.; Rosenberg, D. E.; McKee, M.

    2013-05-01

    Groundwater contaminated with nitrate poses a serious health risk to infants when this contaminated water is used for culinary purposes. To avoid this health risk, people need to know whether their culinary water is contaminated or not. Therefore, there is a need to design an effective groundwater monitoring network, acquire information on groundwater conditions, and use acquired information to inform management options. These actions require time, money, and effort. This paper presents a method to estimate the value of information (VOI) provided by a groundwater quality monitoring network located in an aquifer whose water poses a spatially heterogeneous and uncertain health risk. A decision tree model describes the structure of the decision alternatives facing the decision-maker and the expected outcomes from these alternatives. The alternatives include (i) ignore the health risk of nitrate-contaminated water, (ii) switch to alternative water sources such as bottled water, or (iii) implement a previously designed groundwater quality monitoring network that takes into account uncertainties in aquifer properties, contaminant transport processes, and climate (Khader, 2012). The VOI is estimated as the difference between the expected costs of implementing the monitoring network and the lowest-cost uninformed alternative. We illustrate the method for the Eocene Aquifer, West Bank, Palestine, where methemoglobinemia (blue baby syndrome) is the main health problem associated with the principal contaminant nitrate. The expected cost of each alternative is estimated as the weighted sum of the costs and probabilities (likelihoods) associated with the uncertain outcomes resulting from the alternative. Uncertain outcomes include actual nitrate concentrations in the aquifer, concentrations reported by the monitoring system, whether people abide by manager recommendations to use/not use aquifer water, and whether people get sick from drinking contaminated water. Outcome costs

  9. Drug testing in Europe: monitoring results of the Trans European Drug Information (TEDI) project.

    PubMed

    Brunt, Tibor M; Nagy, Constanze; Bücheli, Alexander; Martins, Daniel; Ugarte, Miren; Beduwe, Cécile; Ventura Vilamala, Mireia

    2017-02-01

    Drug testing is a harm reduction strategy that has been adopted by certain countries in Europe. Drug users are able to hand in their drugs voluntarily for chemical analysis of composition and dose. Drug users will be alerted about dangerous test results by the drug testing systems directly and through warning campaigns. An international collaborative effort was launched to combine data of drug testing systems, called the Trans European Drug Information (TEDI) project. Drug testing systems of Spain, Switzerland, Belgium, Austria, Portugal, and the Netherlands participated in this project. This study presents results of some of the main illicit drugs encountered: cocaine, ecstasy and amphetamine and also comments on new psychoactive substances (NPS) detected between 2008 and 2013. A total of 45 859 different drug samples were analyzed by TEDI. The drug markets of the distinct European areas showed similarities, but also some interesting differences. For instance, purity of cocaine and amphetamine powders was generally low in Austria, whilst high in Spain and the Netherlands. And the market for ecstasy showed a contrast: whereas in the Netherlands and Switzerland there was predominantly a market for ecstasy tablets, in Portugal and Spain MDMA (3,4-methylenedioxymethamphetamine) crystals were much more prevalent. Also, some NPS appearing in ecstasy seemed more specific for one country than another. In general, prevalence of NPS clearly increased between 2008 and 2013. Drug testing can be used to generate a global picture of drug markets and provides information about the pharmacological contents of drugs for the population at risk. Copyright © 2016 John Wiley & Sons, Ltd.

  10. Monitoring peroxides generation during model wine fermentation by FOX-1 assay.

    PubMed

    Bridi, Raquel; González, Alvaro; Bordeu, Edmundo; López-Alarcón, Camilo; Aspée, Alexis; Diethelm, Benjamin; Lissi, Eduardo; Parpinello, Giuseppina Paola; Versari, Andrea

    2015-05-15

    The quality of wine is mainly determined during the alcoholic fermentation that gradually transforms the grape juice into wine. Along this process the yeast goes through several stressful stages which can affect its fermentative ability and industrial performance, affecting wine quality. Based on their actual application on industrial winemaking, commercial Saccharomyces cerevisiae strains (EC1118, QA23, VIN7 and VL3) were used. They were inoculated in batch laboratory fermentations in a model wine solution for evaluating the production of reactive oxygen species (ROS) during the yeast's alcoholic fermentation. For first time total hydroperoxides were determined by FOX-1 assay to follow ROS generation. The total hydroperoxides accumulated along the 10 days of fermentation peaked up to 10.0 μM in yeast EC1118, of which 1.3 μM was hydrogen peroxide (H2O2). The FOX-1 based analytical approach herein presented is a valuable tool for the quantification of ROS oxidative damage during winemaking.

  11. Monitoring trace elements generated by automobiles: air pollutants with possible health impacts.

    PubMed

    Anwar, Khaleeq; Ejaz, Sohail; Ashraf, Muhammad; Ahmad, Nisar; Javeed, Aqeel

    2013-07-01

    Major transformations in the environmental composition are principally attributable to the combustion of fuels by automobiles. Motorized gasoline-powered two-stroke auto-rickshaws (TSA) and compressed natural gas (CNG)-powered four-stroke auto-rickshaws (FSA) are potential source of air pollution in south Asia and produce toxic amount of particulate matter (PM) to the environment. In this study, we attempted to characterize elemental pollutants from the PM of TSA and FSA using proton-induced X-ray emission (PIXE) analysis. The observations of the existing investigation recognized significant increase in Al (P < 0.05), P (P < 0.01), and Zn (P < 0.01) from the PM samples of FSA. In addition, the concentrations of Cu, Fe, K, Mg, Na and S were also observed exceeding the recommended National Institute for Environmental Studies limits. On the contrary, increased concentration of Sr and V were observed in the PM samples from TSA. It is generally believed that FSA generates smaller amount of PM but data obtained from FSA are clearly describing that emissions from FSA comprised potentially more toxic substances than TSA. The current research is specific to metropolitan population and has evidently revealed an inconsistent burden of exposure to air pollutants engendered by FSA in urban communities, which could lead to the disruption of several biological activities and may cause severe damage to entire ecological system.

  12. CargoCBM - Feature Generation and Classification for a Condition Monitoring System for Freight Wagons

    NASA Astrophysics Data System (ADS)

    Gericke, C.; Hecht, M.

    2012-05-01

    Despite the fact that rail freight transport is one of the most environmentally friendly matters of transport, its growth has been far behind the growth of freight transport in general. Studies showed that a competitive disadvantage is caused by a low availability of rolling stock, especially freight wagons. Changing from a time based to a condition based maintenance strategy is believed to decrease down times by at least one third. To make condition based maintenance for freight wagons possible the TU Berlin and five industry partners started the research project CargoCBM. One task in this project is to develop algorithms for the automatic on-board diagnosis of wheel flats. The focus of the work is on the process of feature generation and feature selection as well as the application of different classifiers to automatically evaluate the data. Based on the results of measured data, features were selected and tested with different classifiers. Thought advanced classifiers such as neural networks have been analysed in accordance to their classification accuracy. It can be shown that with carefully constructed and selected features comparatively simple classifiers can lead to excellent results.

  13. Environmental Monitoring: Inferring the Diatom Index from Next-Generation Sequencing Data.

    PubMed

    Visco, Joana Amorim; Apothéloz-Perret-Gentil, Laure; Cordonier, Arielle; Esling, Philippe; Pillet, Loïc; Pawlowski, Jan

    2015-07-07

    Diatoms are widely used as bioindicators for the assessment of water quality in rivers and streams. Classically, the diatom biotic indices are based on the relative abundance of morphologically identified species weighted by their autoecological value. Obtaining such indices is time-consuming, costly, and requires excellent taxonomic expertise, which is not always available. Here we tested the possibility to overcome these limitations using a next-generation sequencing (NGS) approach to identify and quantify diatoms found in environmental DNA and RNA samples. We analyzed 27 river sites in the Geneva area (Switzerland), in order to compare the values of the Swiss Diatom Index (DI-CH) computed either by microscopic quantification of diatom species or directly from NGS data. Despite gaps in the reference database and variations in relative abundance of analyzed species, the diatom index shows a significant correlation between morphological and molecular data indicating similar biological quality status for the majority of sites. This proof-of-concept study demonstrates the potential of the NGS approach for identification and quantification of diatoms in environmental samples, opening new avenues toward the routine application of genetic tools for bioassessment and biomonitoring of aquatic ecosystems.

  14. The Situational Leadership Approach Effects on Employee Motivation in Multi-Generational Information Technology Organizations

    ERIC Educational Resources Information Center

    Irby, Thaddaeus

    2011-01-01

    This study examines the three generations comprising today's IT organizations to determine whether the Situational Leadership approach is effective in motivating this diverse work force to perform project-related tasks. Baby Boomer employees, Generation X employees, and Generation Y employees are the three generations actively employed in IT…

  15. An Integrated Patient Information and In-Home Health Monitoring System Using Smartphones and Web Services.

    PubMed

    Sorwar, Golam; Ali, Mortuza; Islam, Md Kamrul; Miah, Mohammad Selim

    2016-01-01

    Modern healthcare systems are undergoing a paradigm shift from in-hospital care to in-home monitoring, leveraging the emerging technologies in the area of bio-sensing, wireless communication, mobile computing, and artificial intelligence. In-home monitoring promises to significantly reduce healthcare spending by preventing unnecessary hospital admissions and visits to healthcare professionals. Most of the in-home monitoring systems, proposed in the literature, focus on monitoring a set of specific vital signs. However, from the perspective of caregivers it is infeasible to maintain a collection of specialized monitoring systems. In this paper, we view the problem of in-home monitoring from the perspective of caregivers and present a framework that supports various monitoring capabilities while making the complexity transparent to the end users. The essential idea of the framework is to define a 'general purpose architecture' where the system specifies a particular protocol for communication and makes it public. Then any bio-sensing system can communicate with the system as long as it conforms to the protocol. We then argue that as the system grows in terms of number of patients and bio-sensing systems, artificial intelligence technologies need to be employed for patients' risk assessment, prioritization, and recommendation. Finally, we present an initial prototype of the system designed according to the proposed framework.

  16. Next-generation personalised medicine for high-risk paediatric cancer patients - The INFORM pilot study.

    PubMed

    Worst, Barbara C; van Tilburg, Cornelis M; Balasubramanian, Gnana Prakash; Fiesel, Petra; Witt, Ruth; Freitag, Angelika; Boudalil, Miream; Previti, Christopher; Wolf, Stephan; Schmidt, Sabine; Chotewutmontri, Sasithorn; Bewerunge-Hudler, Melanie; Schick, Matthias; Schlesner, Matthias; Hutter, Barbara; Taylor, Lenka; Borst, Tobias; Sutter, Christian; Bartram, Claus R; Milde, Till; Pfaff, Elke; Kulozik, Andreas E; von Stackelberg, Arend; Meisel, Roland; Borkhardt, Arndt; Reinhardt, Dirk; Klusmann, Jan-Henning; Fleischhack, Gudrun; Tippelt, Stephan; Dirksen, Uta; Jürgens, Heribert; Kramm, Christof M; von Bueren, Andre O; Westermann, Frank; Fischer, Matthias; Burkhardt, Birgit; Wößmann, Wilhelm; Nathrath, Michaela; Bielack, Stefan S; Frühwald, Michael C; Fulda, Simone; Klingebiel, Thomas; Koscielniak, Ewa; Schwab, Matthias; Tremmel, Roman; Driever, Pablo Hernáiz; Schulte, Johannes H; Brors, Benedikt; von Deimling, Andreas; Lichter, Peter; Eggert, Angelika; Capper, David; Pfister, Stefan M; Jones, David T W; Witt, Olaf

    2016-09-01

    The 'Individualized Therapy for Relapsed Malignancies in Childhood' (INFORM) precision medicine study is a nationwide German program for children with high-risk relapsed/refractory malignancies, which aims to identify therapeutic targets on an individualised basis. In a pilot phase, reported here, we developed the logistical and analytical pipelines necessary for rapid and comprehensive molecular profiling in a clinical setting. Fifty-seven patients from 20 centers were prospectively recruited. Malignancies investigated included sarcomas (n = 25), brain tumours (n = 23), and others (n = 9). Whole-exome, low-coverage whole-genome, and RNA sequencing were complemented with methylation and expression microarray analyses. Alterations were assessed for potential targetability according to a customised prioritisation algorithm and subsequently discussed in an interdisciplinary molecular tumour board. Next-generation sequencing data were generated for 52 patients, with the full analysis possible in 46 of 52. Turnaround time from sample receipt until first report averaged 28 d. Twenty-six patients (50%) harbored a potentially druggable alteration with a prioritisation score of 'intermediate' or higher (level 4 of 7). Common targets included receptor tyrosine kinases, phosphoinositide 3-kinase-mammalian target of rapamycin pathway, mitogen-activated protein kinase pathway, and cell cycle control. Ten patients received a targeted therapy based on these findings, with responses observed in some previously treatment-refractory tumours. Comparative primary relapse analysis revealed substantial tumour evolution as well as one case of unsuspected secondary malignancy, highlighting the importance of re-biopsy at relapse. This study demonstrates the feasibility of comprehensive, real-time molecular profiling for high-risk paediatric cancer patients. This extended proof-of-concept, with examples of treatment consequences, expands upon previous personalised oncology endeavors

  17. A test program for predicting and monitoring the emergency diesel generator heat exchangers at Limerick Generating Station and Peach Bottom Atomic Power Station

    SciTech Connect

    Elder, J.J.; Fusegni, L.J.; McFarland, W.J.; Andreone, C.F.

    1995-12-31

    The USNRC issued Generic Letter 89-13, ``Service Water Problems Affecting Safety-Related Equipment`` to all nuclear power plant licensees which requires the implementation of a program to ensure that nuclear safety-related heat exchangers are capable of performing their intended functions. The heat exchangers on the standby emergency diesel generator (EDG) skids are covered by this requirement. PECo and SWEC have developed a program of testing and analysis to monitor the level of fouling in the EDG`s at the Limerick and Peach Bottom nuclear power plants in response to the Generic Letter. The development of an EDG heat exchanger test program is significantly more complex than for most other heat exchangers. This is because the process fluid flows are controlled by self-modulating thermostatic valves to maintain proper process temperature setpoints. As a result, under some test conditions the process flows may be reduced to as little as 20% of their design values. Flow changes of this magnitude significantly affect the performance of the coolers and obscure observation of the effects of fouling if not properly addressed. This paper describes the methods developed by PECo and SWEC to address this problem.

  18. Monitoring of facial stress during space flight: Optical computer recognition combining discriminative and generative methods

    NASA Astrophysics Data System (ADS)

    Dinges, David F.; Venkataraman, Sundara; McGlinchey, Eleanor L.; Metaxas, Dimitris N.

    2007-02-01

    Astronauts are required to perform mission-critical tasks at a high level of functional capability throughout spaceflight. Stressors can compromise their ability to do so, making early objective detection of neurobehavioral problems in spaceflight a priority. Computer optical approaches offer a completely unobtrusive way to detect distress during critical operations in space flight. A methodology was developed and a study completed to determine whether optical computer recognition algorithms could be used to discriminate facial expressions during stress induced by performance demands. Stress recognition from a facial image sequence is a subject that has not received much attention although it is an important problem for many applications beyond space flight (security, human-computer interaction, etc.). This paper proposes a comprehensive method to detect stress from facial image sequences by using a model-based tracker. The image sequences were captured as subjects underwent a battery of psychological tests under high- and low-stress conditions. A cue integration-based tracking system accurately captured the rigid and non-rigid parameters of different parts of the face (eyebrows, lips). The labeled sequences were used to train the recognition system, which consisted of generative (hidden Markov model) and discriminative (support vector machine) parts that yield results superior to using either approach individually. The current optical algorithm methods performed at a 68% accuracy rate in an experimental study of 60 healthy adults undergoing periods of high-stress versus low-stress performance demands. Accuracy and practical feasibility of the technique is being improved further with automatic multi-resolution selection for the discretization of the mask, and automated face detection and mask initialization algorithms.

  19. 30 CFR 550.221 - What environmental monitoring information must accompany the EP?

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ... THE INTERIOR OFFSHORE OIL AND GAS AND SULPHUR OPERATIONS IN THE OUTER CONTINENTAL SHELF Plans and... provisions for monitoring the impacts of an oil spill on the environmentally sensitive resources at...

  20. 30 CFR 550.221 - What environmental monitoring information must accompany the EP?

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ... THE INTERIOR OFFSHORE OIL AND GAS AND SULPHUR OPERATIONS IN THE OUTER CONTINENTAL SHELF Plans and... provisions for monitoring the impacts of an oil spill on the environmentally sensitive resources at...

  1. 30 CFR 250.252 - What environmental monitoring information must accompany the DPP or DOCD?

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... OF THE INTERIOR OFFSHORE OIL AND GAS AND SULPHUR OPERATIONS IN THE OUTER CONTINENTAL SHELF Plans and... zones of the FGBNMS, a description of your provisions for monitoring the impacts of an oil spill on...

  2. 30 CFR 550.221 - What environmental monitoring information must accompany the EP?

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ... THE INTERIOR OFFSHORE OIL AND GAS AND SULPHUR OPERATIONS IN THE OUTER CONTINENTAL SHELF Plans and... provisions for monitoring the impacts of an oil spill on the environmentally sensitive resources at...

  3. On-Line Monitoring and Diagnostics of the Integrity of Nuclear Plant Steam Generators and Heat Exchangers

    SciTech Connect

    Belle R. Upadhyaya; J. Wesley Hines

    2004-09-27

    Integrity monitoring and flaw diagnostics of flat beams and tubular structures was investigated in this research task using guided acoustic signals. A piezo-sensor suite was deployed to activate and collect Lamb wave signals that propagate along metallic specimens. The dispersion curves of Lamb waves along plate and tubular structures are generated through numerical analysis. Several advanced techniques were explored to extract representative features from acoustic time series. Among them, the Hilbert-Huang transform (HHT) is a recently developed technique for the analysis of non-linear and transient signals. A moving window method was introduced to generate the local peak characters from acoustic time series, and a zooming window technique was developed to localize the structural flaws. The time-frequency analysis and pattern recognition techniques were combined for classifying structural defects in brass tubes. Several types of flaws in brass tubes were tested, both in the air and in water. The techniques also proved to be effective under background/process noise. A detailed theoretical analysis of Lamb wave propagation was performed and simulations were carried out using the finite element software system ABAQUS. This analytical study confirmed the behavior of the acoustic signals acquired from the experimental studies. The report presents the background the analysis of acoustic signals acquired from piezo-electric transducers for structural defect monitoring. A comparison of the use of time-frequency techniques, including the Hilbert-Huang transform, is presented. The report presents the theoretical study of Lamb wave propagation in flat beams and tubular structures, and the need for mode separation in order to effectively perform defect diagnosis. The results of an extensive experimental study of detection, location, and isolation of structural defects in flat aluminum beams and brass tubes are presented. The results of this research show the feasibility of on

  4. Environmental monitoring through protist next-generation sequencing metabarcoding: assessing the impact of fish farming on benthic foraminifera communities.

    PubMed

    Pawlowski, Jan; Esling, Philippe; Lejzerowicz, Franck; Cedhagen, Tomas; Wilding, Thomas A

    2014-11-01

    The measurement of species diversity represents a powerful tool for assessing the impacts of human activities on marine ecosystems. Traditionally, the impact of fish farming on the coastal environment is evaluated by monitoring the dynamics of macrobenthic infaunal populations. However, taxonomic sorting and morphology-based identification of the macrobenthos demand highly trained specialists and are extremely time-consuming and costly, making it unsuitable for large-scale biomonitoring efforts involving numerous samples. Here, we propose to alleviate this laborious task by developing protist metabarcoding tools based on next-generation sequencing (NGS) of environmental DNA and RNA extracted from sediment samples. In this study, we analysed the response of benthic foraminiferal communities to the variation of environmental gradients associated with salmon farms in Scotland. We investigated the foraminiferal diversity based on ribosomal minibarcode sequences generated by the Illumina NGS technology. We compared the molecular data with morphospecies counts and with environmental gradients, including distance to cages and redox used as a proxy for sediment oxygenation. Our study revealed high variations between foraminiferal communities collected in the vicinity of fish farms and at distant locations. We found evidence for species richness decrease in impacted sites, especially visible in the RNA data. We also detected some candidate bioindicator foraminiferal species. Based on this proof-of-concept study, we conclude that NGS metabarcoding using foraminifera and other protists has potential to become a new tool for surveying the impact of aquaculture and other industrial activities in the marine environment.

  5. Progress on the Development of the Next Generation X-ray Beam Position Monitors at the Advanced Photon Source

    SciTech Connect

    Lee, S.H.; Yang, B.X.; Decker, G.; Sereno, N.; Ramanathan, M.

    2016-07-27

    Accurate and stable x-ray beam position monitors (XBPMs) are ke y elements in obtaining the desired user beam stability in the Advanced Photon Source (APS). The next generat ion XBPMs for high heat load front ends (HHL FEs) have been designed to meet these requirements by utilizing Cu K-edge x-ray fluorescence (XRF) from a pair of copper absorbers and have been installed at the front ends (FEs) of the APS. Com missioning data showed a significant performance improvement over the existing photoemission-based XBPMs. While a similar design concept can be applied for the canted undulator front ends, where two undulator beams are separated by 1.0-mrad, the lower beam power (< 10 kW) per undulator allows us to explore lower-cost solutions based on Compton scat tering from the diamond blades placed edge-on to the x- ray beam. A prototype of the Compton scattering XBPM system was i nstalled at 24-ID-A in May 2015. In this report, the design and test results for XRF-based XBPM and Compton scattering based XBPM are presented. Ongoing research related to the development of the next generation XBPMs on thermal contac t resistance of a joint between two solid bodies is also discussed

  6. Sparse Reconstruction for Temperature Distribution Using DTS Fiber Optic Sensors with Applications in Electrical Generator Stator Monitoring

    PubMed Central

    Bazzo, João Paulo; Pipa, Daniel Rodrigues; da Silva, Erlon Vagner; Martelli, Cicero; Cardozo da Silva, Jean Carlos

    2016-01-01

    This paper presents an image reconstruction method to monitor the temperature distribution of electric generator stators. The main objective is to identify insulation failures that may arise as hotspots in the structure. The method is based on temperature readings of fiber optic distributed sensors (DTS) and a sparse reconstruction algorithm. Thermal images of the structure are formed by appropriately combining atoms of a dictionary of hotspots, which was constructed by finite element simulation with a multi-physical model. Due to difficulties for reproducing insulation faults in real stator structure, experimental tests were performed using a prototype similar to the real structure. The results demonstrate the ability of the proposed method to reconstruct images of hotspots with dimensions down to 15 cm, representing a resolution gain of up to six times when compared to the DTS spatial resolution. In addition, satisfactory results were also obtained to detect hotspots with only 5 cm. The application of the proposed algorithm for thermal imaging of generator stators can contribute to the identification of insulation faults in early stages, thereby avoiding catastrophic damage to the structure. PMID:27618040

  7. Sparse Reconstruction for Temperature Distribution Using DTS Fiber Optic Sensors with Applications in Electrical Generator Stator Monitoring.

    PubMed

    Bazzo, João Paulo; Pipa, Daniel Rodrigues; da Silva, Erlon Vagner; Martelli, Cicero; Cardozo da Silva, Jean Carlos

    2016-09-07

    This paper presents an image reconstruction method to monitor the temperature distribution of electric generator stators. The main objective is to identify insulation failures that may arise as hotspots in the structure. The method is based on temperature readings of fiber optic distributed sensors (DTS) and a sparse reconstruction algorithm. Thermal images of the structure are formed by appropriately combining atoms of a dictionary of hotspots, which was constructed by finite element simulation with a multi-physical model. Due to difficulties for reproducing insulation faults in real stator structure, experimental tests were performed using a prototype similar to the real structure. The results demonstrate the ability of the proposed method to reconstruct images of hotspots with dimensions down to 15 cm, representing a resolution gain of up to six times when compared to the DTS spatial resolution. In addition, satisfactory results were also obtained to detect hotspots with only 5 cm. The application of the proposed algorithm for thermal imaging of generator stators can contribute to the identification of insulation faults in early stages, thereby avoiding catastrophic damage to the structure.

  8. RISMA: A Rule-based Interval State Machine Algorithm for Alerts Generation, Performance Analysis and Monitoring Real-Time Data Processing

    NASA Astrophysics Data System (ADS)

    Laban, Shaban; El-Desouky, Aly

    2013-04-01

    The monitoring of real-time systems is a challenging and complicated process. So, there is a continuous need to improve the monitoring process through the use of new intelligent techniques and algorithms for detecting exceptions, anomalous behaviours and generating the necessary alerts during the workflow monitoring of such systems. The interval-based or period-based theorems have been discussed, analysed, and used by many researches in Artificial Intelligence (AI), philosophy, and linguistics. As explained by Allen, there are 13 relations between any two intervals. Also, there have also been many studies of interval-based temporal reasoning and logics over the past decades. Interval-based theorems can be used for monitoring real-time interval-based data processing. However, increasing the number of processed intervals makes the implementation of such theorems a complex and time consuming process as the relationships between such intervals are increasing exponentially. To overcome the previous problem, this paper presents a Rule-based Interval State Machine Algorithm (RISMA) for processing, monitoring, and analysing the behaviour of interval-based data, received from real-time sensors. The proposed intelligent algorithm uses the Interval State Machine (ISM) approach to model any number of interval-based data into well-defined states as well as inferring them. An interval-based state transition model and methodology are presented to identify the relationships between the different states of the proposed algorithm. By using such model, the unlimited number of relationships between similar large numbers of intervals can be reduced to only 18 direct relationships using the proposed well-defined states. For testing the proposed algorithm, necessary inference rules and code have been designed and applied to the continuous data received in near real-time from the stations of International Monitoring System (IMS) by the International Data Centre (IDC) of the Preparatory

  9. Connecting World Heritage Nominations and Monitoring with the Support of the Silk Roads Cultural Heritage Resource Information System

    NASA Astrophysics Data System (ADS)

    Vileikis, O.; Dumont, B.; Serruys, E.; Van Balen, K.; Tigny, V.; De Maeyer, P.

    2013-07-01

    Serial transnational World Heritage nominations are challenging the way cultural heritage has been managed and evaluated in the past. Serial transnational World Heritage nominations are unique in that they consist of multiple sites listed as one property, distributed in different countries, involving a large diversity of stakeholders in the process. As a result, there is a need for precise baseline information for monitoring, reporting and decision making. This type of nomination requires different methodologies and tools to improve the monitoring cycle from the beginning of the nomination towards the periodic reporting. The case study of the Silk Roads Cultural Heritage Resource Information System (CHRIS) illustrates the use of a Geographical Content Management System (Geo-CMS) supporting the serial transnational World Heritage nomination and the monitoring of the Silk Roads in the five Central Asian countries. The Silk Roads CHRIS is an initiative supported by UNESCO World Heritage Centre (WHC) and the Belgian Federal Science Policy Office (BELSPO), and developed by a consortium headed by the Raymond Lemaire International Centre for Conservation (RLICC) at the KULeuven. The Silk Roads CHRIS has been successfully assisting in the preparation of the nomination dossiers of the Republics of Kazakhstan, Tajikistan and Uzbekistan and will be used as a tool for monitoring tool in the Central Asian countries.

  10. On-Line Monitoring and Diagnostics of the Integrity of Nuclear Plant Steam Generators and Heat Exchangers.

    SciTech Connect

    Belle R. Upadhyaya; J. Wesley Hines

    2004-09-27

    The overall purpose of this Nuclear Engineering Education Research (NEER) project was to integrate new, innovative, and existing technologies to develop a fault diagnostics and characterization system for nuclear plant steam generators (SG) and heat exchangers (HX). Issues related to system level degradation of SG and HX tubing, including tube fouling, performance under reduced heat transfer area, and the damage caused by stress corrosion cracking, are the important factors that influence overall plant operation, maintenance, and economic viability of nuclear power systems. The research at The University of Tennessee focused on the development of techniques for monitoring process and structural integrity of steam generators and heat exchangers. The objectives of the project were accomplished by the completion of the following tasks. All the objectives were accomplished during the project period. This report summarizes the research and development activities, results, and accomplishments during June 2001-September 2004. (1) Development and testing of a high-fidelity nodal model of a U-tube steam generator (UTSG) to simulate the effects of fouling and to generate a database representing normal and degraded process conditions. Application of the group method of data handling (GMDH) method for process variable prediction. (2) Development of a laboratory test module to simulate particulate fouling of HX tubes and its effect on overall thermal resistance. Application of the GMDH technique to predict HX fluid temperatures, and to compare with the calculated thermal resistance. (3) Development of a hybrid modeling technique for process diagnosis and its evaluation using laboratory heat exchanger test data. (4) Development and testing of a sensor suite using piezo-electric devices for monitoring structural integrity of both flat plates (beams) and tubing. Experiments were performed in air, and in water with and without bubbly flow. (5) Development of advanced signal

  11. Mobile-Based Nutrition and Child Health Monitoring to Inform Program Development: An Experience From Liberia

    PubMed Central

    Guyon, Agnes; Bock, Ariella; Buback, Laura; Knittel, Barbara

    2016-01-01

    ABSTRACT Background: Implementing complex nutrition and other public health projects and tracking nutrition interventions, such as women's diet and supplementation and infant and young child feeding practices, requires reliable routine data to identify potential program gaps and to monitor trends in behaviors in real time. However, current monitoring and evaluation practices generally do not create an environment for this real-time tracking. This article describes the development and application of a mobile-based nutrition and health monitoring system, which collected monitoring data on project activities, women's nutrition, and infant and young child feeding practices in real time. Program Description: The Liberia Agricultural Upgrading Nutrition and Child Health (LAUNCH) project implemented a nutrition and health monitoring system between April 2012 and June 2014. The LAUNCH project analyzed project monitoring and outcome data from the system and shared selected behavioral and programmatic indicators with program managers through a short report, which later evolved into a visual data dashboard, during program-update meetings. The project designed protocols to ensure representativeness of program participants. Findings: LAUNCH made programmatic adjustments in response to findings from the monitoring system; these changes were then reflected in subsequent quarterly trends, indicating that the availability of timely data allowed for the project to react quickly to issues and adapt the program appropriately. Such issues included lack of participation in community groups and insufficient numbers of food distribution points. Likewise, the system captured trends in key outcome indicators such as breastfeeding and complementary feeding practices, linking them to project activities and external factors including seasonal changes and national health campaigns. Conclusion: Digital data collection platforms can play a vital role in improving routine programmatic functions

  12. Development of personal pollen information-the next generation of pollen information and a step forward for hay fever sufferers.

    PubMed

    Kmenta, Maximilian; Bastl, Katharina; Jäger, Siegfried; Berger, Uwe

    2014-10-01

    Pollen allergies affect a large part of the European population and are considered likely to increase. User feedback indicates that there are difficulties in providing proper information and valid forecasts using traditional methods of aerobiology due to a variety of factors. Allergen content, pollen loads, and pollen allergy symptoms vary per region and year. The first steps in challenging such issues have already been undertaken. A personalized pollen-related symptom forecast is thought to be a possible answer. However, attempts made thus far have not led to an improvement in daily forecasting procedures. This study describes a model that was launched in 2013 in Austria to provide the first available personal pollen information. This system includes innovative forecast models using bi-hourly pollen data, traditional pollen forecasts based on historical data, meteorological data, and recent symptom data from the patient's hayfever diary. Furthermore, it calculates the personal symptom load in real time, in particular, the entries of the previous 5 days, to classify users. The personal pollen information was made available in Austria on the Austrian pollen information website and via a mobile pollen application, described herein for the first time. It is supposed that the inclusion of personal symptoms will lead to major improvements in pollen information concerning hay fever sufferers.

  13. Challenges of agricultural monitoring: integration of the Open Farm Management Information System into GEOSS and Digital Earth

    NASA Astrophysics Data System (ADS)

    Řezník, T.; Kepka, M.; Charvát, K.; Charvát, K., Jr.; Horáková, S.; Lukas, V.

    2016-04-01

    From a global perspective, agriculture is the single largest user of freshwater resources, each country using an average of 70% of all its surface water supplies. An essential proportion of agricultural water is recycled back to surface water and/or groundwater. Agriculture and water pollution is therefore the subject of (inter)national legislation, such as the Clean Water Act in the United States of America, the European Water Framework Directive, and the Law of the People's Republic of China on the Prevention and Control of Water Pollution. Regular monitoring by means of sensor networks is needed in order to provide evidence of water pollution in agriculture. This paper describes the benefits of, and open issues stemming from, regular sensor monitoring provided by an Open Farm Management Information System. Emphasis is placed on descriptions of the processes and functionalities available to users, the underlying open data model, and definitions of open and lightweight application programming interfaces for the efficient management of collected (spatial) data. The presented Open Farm Management Information System has already been successfully registered under Phase 8 of the Global Earth Observation System of Systems (GEOSS) Architecture Implementation Pilot in order to support the wide variety of demands that are primarily aimed at agriculture pollution monitoring. The final part of the paper deals with the integration of the Open Farm Management Information System into the Digital Earth framework.

  14. Gap between technically accurate information and socially appropriate information for structural health monitoring system installed into tall buildings

    NASA Astrophysics Data System (ADS)

    Mita, Akira

    2016-04-01

    The importance of the structural health monitoring system for tall buildings is now widely recognized by at least structural engineers and managers at large real estate companies to ensure the structural safety immediately after a large earthquake and appeal the quantitative safety of buildings to potential tenants. Some leading real estate companies decided to install the system into all tall buildings. Considering this tendency, a pilot project for the west area of Shinjuku Station supported by the Japan Science and Technology Agency was started by the author team to explore a possibility of using the system to provide safe spaces for commuters and residents. The system was installed into six tall buildings. From our experience, it turned out that viewing only from technological aspects was not sufficient for the system to be accepted and to be really useful. Safe spaces require not only the structural safety but also the soundness of key functions of the building. We need help from social scientists, medical doctors, city planners etc. to further improve the integrity of the system.

  15. Real-time water quality monitoring and providing water quality information to the Baltimore Community

    EPA Science Inventory

    EPA and the U.S. Geological Survey (USGS) have initiated the “Village Blue” research project to provide real-time water quality monitoring data to the Baltimore community and increase public awareness about local water quality in Baltimore Harbor and the Chesapeake Ba...

  16. Radar Monitoring of Wetland Hydrology: Dynamic information for the Assessment of Ecosystem Services

    Technology Transfer Automated Retrieval System (TEKTRAN)

    C-band synthetic aperture radar (SAR) data can improve the ability to map forested wetlands via the monitoring of forested wetland hydrology, but further research is necessary to fully quantify the benefits and limitations of this approach [1], especially at the watershed scale. Research has been co...

  17. 30 CFR 550.252 - What environmental monitoring information must accompany the DPP or DOCD?

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ..., DEPARTMENT OF THE INTERIOR OFFSHORE OIL AND GAS AND SULPHUR OPERATIONS IN THE OUTER CONTINENTAL SHELF Plans... the protective zones of the FGBNMS, a description of your provisions for monitoring the impacts of oil spill on the environmentally sensitive resources of the FGBNMS....

  18. 30 CFR 550.252 - What environmental monitoring information must accompany the DPP or DOCD?

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ..., DEPARTMENT OF THE INTERIOR OFFSHORE OIL AND GAS AND SULPHUR OPERATIONS IN THE OUTER CONTINENTAL SHELF Plans... the protective zones of the FGBNMS, a description of your provisions for monitoring the impacts of oil spill on the environmentally sensitive resources of the FGBNMS....

  19. 30 CFR 550.252 - What environmental monitoring information must accompany the DPP or DOCD?

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ..., DEPARTMENT OF THE INTERIOR OFFSHORE OIL AND GAS AND SULPHUR OPERATIONS IN THE OUTER CONTINENTAL SHELF Plans... the protective zones of the FGBNMS, a description of your provisions for monitoring the impacts of oil spill on the environmentally sensitive resources of the FGBNMS....

  20. Employing spatial information technologies to monitor biological control of saltcedar in West Texas

    Technology Transfer Automated Retrieval System (TEKTRAN)

    The saltcedar leaf beetle (Diorhadha spp.) has shown promise as a biocontrol agent for saltcedar (Tamarix spp.) invasions in the United States. In Texas, natural resource managers need assistance in monitoring biological control of invasive saltcedars. This study describes application of a medium fo...

  1. False Alarm Reduction in BSN-Based Cardiac Monitoring Using Signal Quality and Activity Type Information

    PubMed Central

    Tanantong, Tanatorn; Nantajeewarawat, Ekawit; Thiemjarus, Surapa

    2015-01-01

    False alarms in cardiac monitoring affect the quality of medical care, impacting on both patients and healthcare providers. In continuous cardiac monitoring using wireless Body Sensor Networks (BSNs), the quality of ECG signals can be deteriorated owing to several factors, e.g., noises, low battery power, and network transmission problems, often resulting in high false alarm rates. In addition, body movements occurring from activities of daily living (ADLs) can also create false alarms. This paper presents a two-phase framework for false arrhythmia alarm reduction in continuous cardiac monitoring, using signals from an ECG sensor and a 3D accelerometer. In the first phase, classification models constructed using machine learning algorithms are used for labeling input signals. ECG signals are labeled with heartbeat types and signal quality levels, while 3D acceleration signals are labeled with ADL types. In the second phase, a rule-based expert system is used for combining classification results in order to determine whether arrhythmia alarms should be accepted or suppressed. The proposed framework was validated on datasets acquired using BSNs and the MIT-BIH arrhythmia database. For the BSN dataset, acceleration and ECG signals were collected from 10 young and 10 elderly subjects while they were performing ADLs. The framework reduced the false alarm rate from 9.58% to 1.43% in our experimental study, showing that it can potentially assist physicians in diagnosing a vast amount of data acquired from wireless sensors and enhance the performance of continuous cardiac monitoring. PMID:25671512

  2. Rheticus: an automatic cloud-based geo-information service platform for territorial monitoring

    NASA Astrophysics Data System (ADS)

    Samarelli, Sergio; Lorusso, Antonio Pio; Agrimano, Luigi; Nutricato, Raffaele; Bovenga, Fabio; Nitti, Davide Oscar; Chiaradia, Maria Teresa

    2016-10-01

    Rheticus® is an innovative cloud-based data and services hub able to deliver Earth Observation added-value products through automatic complex processes and, if appropriate, a minimum interaction with human operators. In this paper, we outlines the capabilities of the "Rheticus® Displacement" service, designed for geohazard and infrastructure monitoring through Multi-Temporal SAR Interferometry techniques.

  3. Before the storm: informing and involving stakeholder groups in workplace biomarker monitoring.

    PubMed

    Musham, C; Trettin, L; Jablonski, R

    1999-01-01

    The social, legal and ethical implications of advances in biomarker indentification have been discussed by scholars and environmental researchers, but not by the "everyday" professionals and workers who may eventually make and be affected by decisions about their workplace applications. Through the use of a hypothetical scenario, this study introduced members of various professional and occupational groups to the potential uses of biomarkers research on biological monitoring in the workplace. The purpose was to obtain opinions about how events would proceed based on the scenario, leading to a broad discussion of potential uses and abuses of biomarker-based health monitoring. Six professionally homogeneous focus groups, comprised of 1) company health professionals, 2) third-party payers, 3) attorneys, 4) human resource managers, 5) non-unionized workers, and 6) unionized workers, participated in focus groups presented as "think-tank" discussions in Greenville and Charleston, S.C. Participants were given a fictitious "newspaper article" about the use of biomarker-based monitoring at a chemical plant and were asked to comment on what they thought would happen next. The discussion expanded to a general consideration of biological monitoring and its legal, social and ethical ramifications. Data was analyzed through the "immersion/crystallization" method. Few participants reported any knowledge of biological monitoring prior to the focus group session. Some had initial difficulty understanding the concept and how it differs from other means of measuring environmental risk. Although biological monitoring was previously unknown to many participants, occupational groups were relatively consistent in the issues they raised about its use in the workplace. In all groups, questions about potential discrimination against employees were raised. The general consensus was that the use of biomarker-based monitoring would result in conflict and litigation without regulations to

  4. Great Lakes Integrated Sciences + Assessments: Connecting Users and Generators of Scientific Information to Inform Climate Change Adaptation

    NASA Astrophysics Data System (ADS)

    Baule, W. J.; Briley, L.; Brown, D.; Gibbons, E.

    2014-12-01

    The Great Lakes Integrated Sciences + Assessments (GLISA) is one of eleven NOAA Regional Integrated Sciences and Assessments (RISAs) and is a co-hosted by the University of Michigan and Michigan State University. The Great Lakes region falls between areas that are typically defined as the Midwest and Northeast in the United States and also includes portions of Ontario in Canada. This unique and complex region holds approximately 21% of global surface fresh water and is home to 23 million people on the United States side of the basin alone. GLISA functions as a bridge between climate science researchers and boundary organizations in the Great Lakes region, with the goals of contributing to the long-term sustainability of the region in face of a changing climate and to facilitate smart decision-making backed by sound scientific knowledge. Faculty and staff associated with GLISA implement physical and social science practices in daily operations, which includes but is not limited to: activating the boundary chain model to facilitate the transfer of knowledge through the community, integrating local and historical climate data into decision-making processes, addressing uncertainty and the downscaling of climate information, and implementing network analyses to find key access points to information networks across the Great Lakes region. GLISA also provides funding for projects related to climate and climate change adaptation in the Great Lakes region, as well as expertise to partner organizations through collaborations. Information from boundary organizations, stakeholders, and collaborators also flows back to GLISA to aid in the determination of the physical and social science needs of the region. Recent findings point to GLISA playing a crucial role in the scaling information across scales of government and ensuring that federal agencies and local stakeholders are able to learn from one another and share experiences and knowledge to continue building climate ready

  5. Design and construction of Information Systems of Ocean Satellite Monitoring for Air-sea CO2 Flux (IssCO2)

    NASA Astrophysics Data System (ADS)

    Zhu, Qiankun; Fang, Lei; Bai, Yan; He, Xianqiang; Sun, Xiaoxiao; Chen, Jianyu

    2013-10-01

    Climate change has become one of the hotspots of global attention in recent progress of globalization and industrialization. The mainstream opinion presented by Intergovernmental Panel on Climate Change (IPCC) regards that the global warming was caused mainly by greenhouse gases generated by human activities, such as anthropogenic CO2, which also resulting in the high-frequent happening of abnormal climate events. Satellite remote sensing is an efficient and economic method for CO2 flux observation. In this paper, we describe an Information System of Ocean Satellite Monitoring for Ari-sea CO2 Flux (IssCO2) which developed by the Second Institute of Oceanography, China. The IssCO2can achieve the whole procedure automatically from the satellite remote data receiving to products distribution, including the data acquirement and satellite image process, products generation, etc. The IssCO2 can process various types of in situ data, satellite data and model data, and validate the final satellite-derived CO2 flux products by in situ data; it can provide a real-time browsing and download of remote sensing products on the web based on the Geo-information System (GIS) technologies. The IssCO2 can meet the concurrent queries of different levels of users, and the query results can be visual displayed and analyzed on the client.

  6. Electrical power systems (Panama). Energy generation and control equipment, July 1991. Export trade information

    SciTech Connect

    Not Available

    1991-07-01

    Concerning energy generation equipment, the Panamanian market is supplied entirely by imports, mainly from the United States, the United Kingdom, Japan and Korea. The market is heavily dependent on government purchases, mainly generators and transformers. Imports showed a promising growth of 17% during 1990. Most energy generation and control equipment products are imported as local manufacturing is non existent, with the exception of copper cables.

  7. A Management Information System for Allocating, Monitoring and Reviewing Work Assignments.

    DTIC Science & Technology

    1986-06-01

    This thesis investigated the feasibility of developing a small scale management information system on a micro-computer. The working system was...ORSA journal. The management information system was designed using Ashton-Tate’s dBaseIII software. As designed, the system will operate on any...computer operating under microsoft’s Disk Operating System (MS-DOS). The user must provide his own dBaseIII software. A similar management information system could

  8. Monitoring materials

    DOEpatents

    Orr, Christopher Henry; Luff, Craig Janson; Dockray, Thomas; Macarthur, Duncan Whittemore

    2002-01-01

    The apparatus and method provide techniques for effectively implementing alpha and/or beta and/or gamma monitoring of items or locations as desired. Indirect alpha monitoring by detecting ions generated by alpha emissions, in conjunction with beta and/or gamma monitoring is provided. The invention additionally provides for screening of items prior to alpha monitoring using beta and/or gamma monitoring, so as to ensure that the alpha monitoring apparatus is not contaminated by proceeding direct to alpha monitoring of a heavily contaminated item or location. The invention provides additional versatility in the emission forms which can be monitored, whilst maintaining accuracy and avoiding inadvertent contamination.

  9. Global Estimates of Fine Particulate Matter Using a Combined Geophysical-Statistical Method with Information from Satellites, Models, and Monitors

    NASA Technical Reports Server (NTRS)

    Van Donkelaar, Aaron; Martin, Randall V.; Brauer, Michael; Hsu, N. Christina; Kahn, Ralph A.; Levy, Robert C.; Lyapustin, Alexei; Sayer, Andrew M.; Winker, David M.

    2016-01-01

    We estimated global fine particulate matter (PM(sub 2.5)) concentrations using information from satellite-, simulation- and monitor-based sources by applying a Geographically Weighted Regression (GWR) to global geophysically-based satellite-derived PM(sub 2.5) estimates. Aerosol optical depth from multiple satellite products (MISR, MODIS Dark Target, MODIS and SeaWiFS Deep Blue, and MODIS MAIAC) was combined with simulation (GEOS-Chem) based upon their relative uncertainties as determined using ground-based sun photometer (AERONET) observations for 1998-2014. The GWR predictors included simulated aerosol composition and land use information. The resultant PM(sub 2.5) estimates were highly consistent (R(sup 2) equals 0.81) with out-of-sample cross-validated PM(sub 2.5) concentrations from monitors. The global population-weighted annual average PM(sub 2.5) concentrations were 3-fold higher than the 10 micrograms per cubic meter WHO guideline, driven by exposures in Asian and African regions. Estimates in regions with high contributions from mineral dust were associated with higher uncertainty, resulting from both sparse ground-based monitoring, and challenging conditions for retrieval and simulation. This approach demonstrates that the addition of even sparse ground-based measurements to more globally continuous PM(sub 2.5) data sources can yield valuable improvements to PM(sub 2.5) characterization on a global scale.

  10. Global Estimates of Fine Particulate Matter using a Combined Geophysical-Statistical Method with Information from Satellites, Models, and Monitors.

    PubMed

    van Donkelaar, Aaron; Martin, Randall V; Brauer, Michael; Hsu, N Christina; Kahn, Ralph A; Levy, Robert C; Lyapustin, Alexei; Sayer, Andrew M; Winker, David M

    2016-04-05

    We estimated global fine particulate matter (PM2.5) concentrations using information from satellite-, simulation- and monitor-based sources by applying a Geographically Weighted Regression (GWR) to global geophysically based satellite-derived PM2.5 estimates. Aerosol optical depth from multiple satellite products (MISR, MODIS Dark Target, MODIS and SeaWiFS Deep Blue, and MODIS MAIAC) was combined with simulation (GEOS-Chem) based upon their relative uncertainties as determined using ground-based sun photometer (AERONET) observations for 1998-2014. The GWR predictors included simulated aerosol composition and land use information. The resultant PM2.5 estimates were highly consistent (R(2) = 0.81) with out-of-sample cross-validated PM2.5 concentrations from monitors. The global population-weighted annual average PM2.5 concentrations were 3-fold higher than the 10 μg/m(3) WHO guideline, driven by exposures in Asian and African regions. Estimates in regions with high contributions from mineral dust were associated with higher uncertainty, resulting from both sparse ground-based monitoring, and challenging conditions for retrieval and simulation. This approach demonstrates that the addition of even sparse ground-based measurements to more globally continuous PM2.5 data sources can yield valuable improvements to PM2.5 characterization on a global scale.

  11. An emerging network storage management standard: Media error monitoring and reporting information (MEMRI) - to determine optical tape data integrity

    NASA Technical Reports Server (NTRS)

    Podio, Fernando; Vollrath, William; Williams, Joel; Kobler, Ben; Crouse, Don

    1998-01-01

    Sophisticated network storage management applications are rapidly evolving to satisfy a market demand for highly reliable data storage systems with large data storage capacities and performance requirements. To preserve a high degree of data integrity, these applications must rely on intelligent data storage devices that can provide reliable indicators of data degradation. Error correction activity generally occurs within storage devices without notification to the host. Early indicators of degradation and media error monitoring 333 and reporting (MEMR) techniques implemented in data storage devices allow network storage management applications to notify system administrators of these events and to take appropriate corrective actions before catastrophic errors occur. Although MEMR techniques have been implemented in data storage devices for many years, until 1996 no MEMR standards existed. In 1996 the American National Standards Institute (ANSI) approved the only known (world-wide) industry standard specifying MEMR techniques to verify stored data on optical disks. This industry standard was developed under the auspices of the Association for Information and Image Management (AIIM). A recently formed AIIM Optical Tape Subcommittee initiated the development of another data integrity standard specifying a set of media error monitoring tools and media error monitoring information (MEMRI) to verify stored data on optical tape media. This paper discusses the need for intelligent storage devices that can provide data integrity metadata, the content of the existing data integrity standard for optical disks, and the content of the MEMRI standard being developed by the AIIM Optical Tape Subcommittee.

  12. Exploring Information Generation and Propagation from the Point of Installation on Construction Jobsites: An SNA/ABM Hybrid Approach

    ERIC Educational Resources Information Center

    Moore, Heather

    2013-01-01

    Construction requires the knowledge and experience of craftsmen. The knowledge and experience is gained through local coordination and local adaption at points of installation, which classifies the work as complex production. Information generated at these points of installation can be valuable in understanding how and why workers make decisions,…

  13. Pupil Researchers Generation X: Educating Pupils as Active Participants--An Investigation into Gathering Sensitive Information from Early Adolescents

    ERIC Educational Resources Information Center

    Symonds, Jenny E.

    2008-01-01

    Developmentally appropriate research techniques were uncovered by involving ten Year 7 pupils as researchers in a four-hour workshop that investigated the effectiveness of multiple methods in gathering sensitive information from early adolescents. The pupils learned about, tried and evaluated the methods of generating interview questions, peer and…

  14. Potential applications of next generation DNA sequencing of 16S rRNA gene amplicons in microbial water quality monitoring

    PubMed Central

    Vierheilig, J.; Savio, D.; Ley, R. E.; Mach, R. L.; Farnleitner, A. H.

    2016-01-01

    The applicability of next generation DNA sequencing (NGS) methods for water quality assessment has so far not been broadly investigated. This study set out to evaluate the potential of an NGS-based approach in a complex catchment with importance for drinking water abstraction. In this multicompartment investigation, total bacterial communities in water, faeces, soil, and sediment samples were investigated by 454 pyrosequencing of bacterial 16S rRNA gene amplicons to assess the capabilities of this NGS method for (i) the development and evaluation of environmental molecular diagnostics, (ii) direct screening of the bulk bacterial communities, and (iii) the detection of faecal pollution in water. Results indicate that NGS methods can highlight potential target populations for diagnostics and will prove useful for the evaluation of existing and the development of novel DNA-based detection methods in the field of water microbiology. The used approach allowed unveiling of dominant bacterial populations but failed to detect populations with low abundances such as faecal indicators in surface waters. In combination with metadata, NGS data will also allow the identification of drivers of bacterial community composition during water treatment and distribution, highlighting the power of this approach for monitoring of bacterial regrowth and contamination in technical systems. PMID:26606090

  15. Potential applications of next generation DNA sequencing of 16S rRNA gene amplicons in microbial water quality monitoring.

    PubMed

    Vierheilig, J; Savio, D; Ley, R E; Mach, R L; Farnleitner, A H; Reischer, G H

    2015-01-01

    The applicability of next generation DNA sequencing (NGS) methods for water quality assessment has so far not been broadly investigated. This study set out to evaluate the potential of an NGS-based approach in a complex catchment with importance for drinking water abstraction. In this multi-compartment investigation, total bacterial communities in water, faeces, soil, and sediment samples were investigated by 454 pyrosequencing of bacterial 16S rRNA gene amplicons to assess the capabilities of this NGS method for (i) the development and evaluation of environmental molecular diagnostics, (ii) direct screening of the bulk bacterial communities, and (iii) the detection of faecal pollution in water. Results indicate that NGS methods can highlight potential target populations for diagnostics and will prove useful for the evaluation of existing and the development of novel DNA-based detection methods in the field of water microbiology. The used approach allowed unveiling of dominant bacterial populations but failed to detect populations with low abundances such as faecal indicators in surface waters. In combination with metadata, NGS data will also allow the identification of drivers of bacterial community composition during water treatment and distribution, highlighting the power of this approach for monitoring of bacterial regrowth and contamination in technical systems.

  16. Validation of a quick modeling program generating clearance estimates at steady state for routine therapeutic drug monitoring.

    PubMed

    el Battah, A; Beglia, S; Alric, R

    1995-08-01

    Therapeutic drug monitoring (TDM) of chronic treatments is justified for several reasons, including relative over- or underdosage due to variable individual elimination, pharmacokinetic interactions in drug combinations, and noncompliance. In all these circumstances, the prescribing physician is interested in having an estimation of the patient's clearance of the drug, even from one measurement. We compare a validated bayesian program, USC*Pack of Jelliffe, found difficult to use in daily routine, with a "home-made" program. The latter, which is capable of taking data from a clinical database, will generate a graphic simulation of daily plasma drug concentrations together with an estimation of steady-state clearance more rapidly than does USC*Pack. Both programs were run with only one measured plasma level. The patients were 83 children or young adults treated with phenobarbital (PB), carbamazepine (CBZ), and/or Valproic acid (VPA) who were resistant to monotherapy and who were to be sampled two to four times between doses. Drugs were routinely assayed by high-performance liquid chromatography (HPLC). Despite the rough character of Phacile (numeric integration and adjustment of only two of three parameters, without an acknowledged minimization algorithm), the results are comparable to those obtained with USC*Pack for estimating clearance and predicting plasma drug concentrations. Phacile algorithm, although simple, has proven of interest in routine TDM and as an introduction for medical students to the bayesian approach of population pharmacokinetics.

  17. 12 CFR Appendix II to Part 27 - Information for Government Monitoring Purposes

    Code of Federal Regulations, 2010 CFR

    2010-01-01

    ... this information (initial)____. Race/National Origin □ American Indian or Alaskan Native □ Asian or... below. Borrower I do not wish to furnish this information (initial)____. Race/National Origin □ American Indian or Alaskan Native □ Asian or Pacific Islander □ Black, not of Hispanic origin □ Hispanic □...

  18. 12 CFR Appendix II to Part 27 - Information for Government Monitoring Purposes

    Code of Federal Regulations, 2011 CFR

    2011-01-01

    ... this information (initial)____. Race/National Origin □ American Indian or Alaskan Native □ Asian or... below. Borrower I do not wish to furnish this information (initial)____. Race/National Origin □ American Indian or Alaskan Native □ Asian or Pacific Islander □ Black, not of Hispanic origin □ Hispanic □...

  19. Using global information technology to detect, monitor, and control mosquito pest and disease vector populations.

    Technology Transfer Automated Retrieval System (TEKTRAN)

    Geographic Information Systems (GIS), image analysis, and remote sensing comprise global information technologies that are used to characterize pest and vector populations of mosquitoes. At this national meeting, scientists from ARS and McNeese State University organized and convened a half-day sym...

  20. The second generation intelligent user interface for the crustal dynamics data information system. [for nasa space missions

    NASA Technical Reports Server (NTRS)

    Short, Nicholas, Jr.; Wattawa, Scott L.

    1988-01-01

    For the past decade, operations and research projects that support a major portion of NASA's overall mission have experienced a dramatic increase in the volume of generated data and resultant information that is unparalleled in the history of the agency. The effect of such an increase is that most of the science and engineering disciplines are undergoing an information glut, which has occurred, not only because of the amount, but also because of the type of data being collected. This information glut is growing exponentially and is expected to grow for the foreseeable future. Consequently, it is becoming physically and intellectually impossible to identify, access, modify, and analyze the most suitable information. Thus, the dilemma arises that the amount and complexity of information has exceeded and will continue to exceed, using present information systems, the ability of all the scientists and engineers to understand and take advantage of this information. As a result of this information problem, NASA has initiated the Intelligent Data Management (IDM) project to design and develop Advanced Information Management (IDM) project to design and develop Advanced Information Management Systems (AIMS). The first effort of the Project was the prototyping of an Intelligent User Interface (IUI) to an operational scientific database using expert systems, natural language processing, and graphics technologies. An overview of the IUI formulation and development for the second phase is presented.

  1. Monitoring building energy performance: An informal review and characterization of research in progress

    NASA Astrophysics Data System (ADS)

    1984-03-01

    The U.S. Department of Energy (DOE) and Brookhaven National Laboratory (BNL) have had a longstanding interest in the actual performance of energy conservation features in whole buildings. BNL, as part of its work for DOE, has concentrated on detailed understanding of the full-scale performance of innovative components and subsystems interacting within whole buildings over extended time periods. This work has resulted in the publication of several case study reports on the actual energy performance of a variety of innovative residential buildings. To help the federal government and others keep abreast of developments in the field of whole building energy performance monitoring, DOE asked BNL to undertake a limited review of work under way throughout the United States, and to assemble the results of the review in a manner that would provide a resource to policymakers, researchers and others interested in whole building performance monitoring.

  2. Tools for User-Assisted Behavioral Monitoring of Distributed Information Networks

    DTIC Science & Technology

    2005-06-01

    RSMM to trigger a change in replica placements, where plate is the currently prescribed value for PLAT. The ’setlatency’ operation may compute platne ...that will cause the latency to not exceed platne ,. The ’change-replicaplacement’ function is specific to the update policy employed by the CDN...less than platn ,.. The can be monitored by directly sampling the interface ’smoothlatency-samples’ operation may simply be an state of ’content access

  3. Rapid data access: Key to integrated use of environmental characterization and monitoring information

    SciTech Connect

    Canales, T.; Ottesen, P.

    1995-11-01

    Environmental investigations result in large quantities of data. The value of these data lies in their interpretation and use by project staff, management, and the regulatory community. Traditional modes of data access can be frustrating and time-consuming. Software tools that join networking technology of the World Wide Web with database access have decreased labor-intensive overhead in site characterization and monitoring, thus increasing the efficiency of the ground water restoration project at Lawrence Livermore National Laboratory.

  4. Genetic counseling practice in next generation sequencing research: implications for the ethical oversight of the informed consent process.

    PubMed

    Egalite, Nathalie; Groisman, Iris Jaitovich; Godard, Beatrice

    2014-08-01

    The potential for next generation sequencing research (NGS) to generate individual genetic results could have implications for the informed consent process and the provision of genetic counseling. We undertook a content analysis of informed consent templates and guidelines produced by Canadian institutional review boards, purposively sampling documents used by researchers to obtain consent from participants in genetics studies. Our goal was to examine the extent to which the informed consent documents addressed genetic counseling and the return of individual genetic results. Our analysis reveals that the majority of informed consent documents did not mention genetic counseling while several did not mention the return of results. We found differences in the ways in which documents addressed availability of counseling, eligibility criteria for referral to a genetic counselor, genetic counselor involvement, provision of services to family members of participants and incidental findings. From an ethical standpoint, consent documents should provide appropriate information so that participants may make an informed decision about their participation in research. The need to ensure adequate counseling for study populations in an NGS research context will necessarily involve adapting values that underlie care in genetic counseling practice. If the interests of research participants are to be truly promoted, the drafting and review of informed consent documents should give proper due to genetic counseling.

  5. Utilizing Hierarchical Segmentation to Generate Water and Snow Masks to Facilitate Monitoring Change with Remotely Sensed Image Data

    NASA Technical Reports Server (NTRS)

    Tilton, James C.; Lawrence, William T.; Plaza, Antonio J.

    2006-01-01

    The hierarchical segmentation (HSEG) algorithm is a hybrid of hierarchical step-wise optimization and constrained spectral clustering that produces a hierarchical set of image segmentations. This segmentation hierarchy organizes image data in a manner that makes the image's information content more accessible for analysis by enabling region-based analysis. This paper discusses data analysis with HSEG and describes several measures of region characteristics that may be useful analyzing segmentation hierarchies for various applications. Segmentation hierarchy analysis for generating landwater and snow/ice masks from MODIS (Moderate Resolution Imaging Spectroradiometer) data was demonstrated and compared with the corresponding MODIS standard products. The masks based on HSEG segmentation hierarchies compare very favorably to the MODIS standard products. Further, the HSEG based landwater mask was specifically tailored to the MODIS data and the HSEG snow/ice mask did not require the setting of a critical threshold as required in the production of the corresponding MODIS standard product.

  6. Probabilistic generation of random networks taking into account information on motifs occurrence.

    PubMed

    Bois, Frederic Y; Gayraud, Ghislaine

    2015-01-01

    Because of the huge number of graphs possible even with a small number of nodes, inference on network structure is known to be a challenging problem. Generating large random directed graphs with prescribed probabilities of occurrences of some meaningful patterns (motifs) is also difficult. We show how to generate such random graphs according to a formal probabilistic representation, using fast Markov chain Monte Carlo methods to sample them. As an illustration, we generate realistic graphs with several hundred nodes mimicking a gene transcription interaction network in Escherichia coli.

  7. The Generation Gap: Open-Source Information, Intelligence, and the Government

    DTIC Science & Technology

    1994-01-01

    ignored. The Intelligence Community mu~t recognize that the information era has exploded and the profusion of automated tools and systems to handle...address these issues and formulate a strategy as we enter the " Information Era ." 1. Build a vision for the organization. The most important...separate program. A strategy for this new information era is for Congress to follow the precedent it created with Special Operations/Low Intensity

  8. Parenting Practices and Problem Behavior across Three Generations: Monitoring, Harsh Discipline, and Drug Use in the Intergenerational Transmission of Externalizing Behavior

    ERIC Educational Resources Information Center

    Bailey, Jennifer A.; Hill, Karl G.; Oesterle, Sabrina; Hawkins, J. David

    2009-01-01

    Using data from grandparents (G1), parents (G2), and children (G3), this study examined continuity in parental monitoring, harsh discipline, and child externalizing behavior across generations, and the contribution of parenting practices and parental drug use to intergenerational continuity in child externalizing behavior. Structural equation and…

  9. Remote sensing-based Information for crop monitoring: contribution of SAR and Moderate resolution optical data on Asian rice production

    NASA Astrophysics Data System (ADS)

    Boschetti, Mirco; Holectz, Francesco; Manfron, Giacinto; Collivignarelli, Francesco; Nelson, Andrew

    2013-04-01

    Updated information on crop typology and status are strongly required to support suitable action to better manage agriculture production and reduce food insecurity. In this field, remote sensing has been demonstrated to be a suitable tool to monitor crop condition however rarely the tested system became really operative. The ones today available, such as the European Commission MARS, are mainly based on the analysis of NDVI time series and required ancillary external information like crop mask to interpret the seasonal signal. This condition is not always guarantied worldwide reducing the potentiality of the remote sensing monitoring. Moreover in tropical countries cloud contamination strongly reduce the possibility of using optical remote sensing data for crop monitoring. In this framework we focused our analysis on the rice production monitoring in Asian tropical area. Rice is in fact the staple food for half of the world population (FAO 2004), in Asia almost 90% of the world's rice is produced and consumed and Rice and poverty often coincide. In this contest the production of reliable rice production information is of extreme interest. We tried to address two important issue in terms of required geospatial information for crop monitoring: rice crop detection (rice map) and seasonal dynamics analysis (phenology). We use both SAR and Optical data in order to exploit the potential complementarity of this system. Multi-temporal ASAR Wide Swath data are in fact the best option to deal with cloud contamination. SAR can easily penetrate the clouds providing information on the surface target. Temporal analysis of archive ASAR data allowed to derived accurate map, at 100m spatial resolution, of permanent rice cultivated areas. On the other and high frequency revisiting optical data, in this case MODIS, have been used to extract seasonal information for the year under analysis. MOD09A1 Surface Reflectance 8-Day L3 Global 500m have been exploited to derive time series of

  10. Representing Geospatial Environment Observation Capability Information: A Case Study of Managing Flood Monitoring Sensors in the Jinsha River Basin

    PubMed Central

    Hu, Chuli; Guan, Qingfeng; Li, Jie; Wang, Ke; Chen, Nengcheng

    2016-01-01

    Sensor inquirers cannot understand comprehensive or accurate observation capability information because current observation capability modeling does not consider the union of multiple sensors nor the effect of geospatial environmental features on the observation capability of sensors. These limitations result in a failure to discover credible sensors or plan for their collaboration for environmental monitoring. The Geospatial Environmental Observation Capability (GEOC) is proposed in this study and can be used as an information basis for the reliable discovery and collaborative planning of multiple environmental sensors. A field-based GEOC (GEOCF) information representation model is built. Quintuple GEOCF feature components and two GEOCF operations are formulated based on the geospatial field conceptual framework. The proposed GEOCF markup language is used to formalize the proposed GEOCF. A prototype system called GEOCapabilityManager is developed, and a case study is conducted for flood observation in the lower reaches of the Jinsha River Basin. The applicability of the GEOCF is verified through the reliable discovery of flood monitoring sensors and planning for the collaboration of these sensors. PMID:27999247

  11. [Practical information for therapeutic drug monitoring of the most common compounds].

    PubMed

    Saint-Marcoux, Franck; Libert, Frédéric

    2016-09-01

    This article reports the main information for the interpretation of blood concentrations of most common drugs measured in pharmacology-toxicology departments: acetaminophen, amikacin, carbamazepine, digoxin, gentamicin, lithium, methotrexate, phenobarbital, phenytoin and valproic acid.

  12. 77 FR 33765 - Proposed Information Collection; Bald Eagle Post-delisting Monitoring

    Federal Register 2010, 2011, 2012, 2013, 2014

    2012-06-07

    ... additional information about this IC, contact Hope Grey at INFOCOL@fws.gov (email) or 703-358- 2482... to this notice are a matter of public record. We will include or summarize each comment in...

  13. Sending out an SOS...and more: next-generation textiles and EEG headsets transport vital biomed information.

    PubMed

    Mertz, Leslie

    2015-01-01

    It seems as if many of us are getting used to the idea of wearing sensors, whether they are counting the number of steps we take each day with an iPhone-connected pedometer or keeping track of heart rate while we are doing an exercise routine or out riding a bicycle. That's probably good preparation, because a new generation of wearable sensors and smart textiles are coming to the fore to provide extended biomedical monitoring of heart, brain, muscle, and other physiological activity.

  14. Turbine generator evaluation for the Eesti-Energia Estonia and Baltic power plants. Export trade information

    SciTech Connect

    1995-12-01

    The report evaluates the feasibility of 200 MW turbines and generators modernization in two Estonian power plants in order to improve performance and/or availability. This is Volume 1 and it includes the following: (1) scope; (2) evaluation approach; (3) summary of major recommendations; (4) performance tests descriptions; (5) current technology -- component description; (6) recommended studies; (7) recommendations; (8) district heating; (9) description of turbine K-200-130; (10) turbine evaluation results; (11) generator; (12) estimation of modernization costs.

  15. Using Pop Culture to Teach Information Literacy: Methods to Engage a New Generation

    ERIC Educational Resources Information Center

    Behen, Linda D.

    2006-01-01

    Building on the information needs and the learning style preferences of today's high school students, the author builds a case for using pop culture (TV shows, fads, and current technology) to build integrated information skills lessons for students. Chapters include a rationale, a review of the current literature, and examples of units of study…

  16. Generating Knowledge and Avoiding Plagiarism: Smart Information Use by High School Students

    ERIC Educational Resources Information Center

    Williamson, Kirsty; McGregor, Joy

    2011-01-01

    The article reports phase 2 of a two-year study, dubbed the Smart Information Use project, the focus of which was appropriate seeking and use of information by students at various stages of their high school education, along with the avoidance of plagiarism. In four Australian high schools, teacher librarians and classroom teachers developed and…

  17. Information-Seeking Behavior in Generation Y Students: Motivation, Critical Thinking, and Learning Theory

    ERIC Educational Resources Information Center

    Weiler, Angela

    2005-01-01

    Research in information-seeking behavior, motivation, critical thinking, and learning theory was explored and compared in a search for possible motivating factors behind students' dependence on television and the Internet for their information needs. The research indicates that only a very small percentage of the general population prefer to learn…

  18. [New index for soil moisture monitoring based on deltaT(s)-albedo spectral information].

    PubMed

    Yao, Yun-Jun; Qin, Qi-Ming; Zhao, Shao-Hua; Shen, Xin-Yi; Sui, Xin-Xin

    2011-06-01

    Monitoring soil moisture by remote sensing has been an important problem for both agricultural drought monitoring and water resources management. In the present paper, we acquire the land surface temperature difference (deltaT(s)) and broadband albedo using MODIS Terra reflectance and land surface temperature products to construct the deltaT(s)-albedo spectral feature space. According to the soil moisture variation in spectral feature space, we put forward a simple and practical temperature difference albedo drought index (TDADI) and validate it using ground-measured 0-10 cm averaged soil moisture of Ningxia plain The results show that the coefficient of determination (R2) of both them varies from 0.36 to 0.52, and TDADI has higher accuracy than temperature albedo drought index (TADI) for soil moisture retrieval. The good agreement of TDADI, Albedo/LST, LST/ NDVI and TVDI for analyzing the trends of soil moisture change supports the reliability of TDADI. However, TDADI has been designed only at Ningxia plain and still needs further validation in other regions.

  19. Individuals with low working memory spans show greater interference from irrelevant information because of poor source monitoring, not greater activation.

    PubMed

    Lilienthal, Lindsey; Rose, Nathan S; Tamez, Elaine; Myerson, Joel; Hale, Sandra

    2015-04-01

    Although individuals with high and low working memory (WM) span appear to differ in the extent to which irrelevant information interferes with their performance on WM tasks, the locus of this interference is not clear. The present study investigated whether, when performing a WM task, high- and low-span individuals differ in the activation of formerly relevant, but now irrelevant items, and/or in their ability to correctly identify such irrelevant items. This was done in two experiments, both of which used modified complex WM span tasks. In Experiment 1, the span task included an embedded lexical decision task designed to obtain an implicit measure of the activation of both currently and formerly relevant items. In Experiment 2, the span task included an embedded recognition judgment task designed to obtain an explicit measure of both item and source recognition ability. The results of these experiments indicate that low-span individuals do not hold irrelevant information in a more active state in memory than high-span individuals, but rather that low-span individuals are significantly poorer at identifying such information as irrelevant at the time of retrieval. These results suggest that differences in the ability to monitor the source of information, rather than differences in the activation of irrelevant information, are the more important determinant of performance on WM tasks.

  20. Diagnostic yield of targeted next generation sequencing in various cancer types: an information-theoretic approach.

    PubMed

    Hagemann, Ian S; O'Neill, Patrick K; Erill, Ivan; Pfeifer, John D

    2015-09-01

    The information-theoretic concept of Shannon entropy can be used to quantify the information provided by a diagnostic test. We hypothesized that in tumor types with stereotyped mutational profiles, the results of NGS testing would yield lower average information than in tumors with more diverse mutations. To test this hypothesis, we estimated the entropy of NGS testing in various cancer types, using results obtained from clinical sequencing. A set of 238 tumors were subjected to clinical targeted NGS across all exons of 27 genes. There were 120 actionable variants in 109 cases, occurring in the genes KRAS, EGFR, PTEN, PIK3CA, KIT, BRAF, NRAS, IDH1, and JAK2. Sequencing results for each tumor were modeled as a dichotomized genotype (actionable mutation detected or not detected) for each of the 27 genes. Based upon the entropy of these genotypes, sequencing was most informative for colorectal cancer (3.235 bits of information/case) followed by high grade glioma (2.938 bits), lung cancer (2.197 bits), pancreatic cancer (1.339 bits), and sarcoma/STTs (1.289 bits). In the most informative cancer types, the information content of NGS was similar to surgical pathology examination (modeled at approximately 2-3 bits). Entropy provides a novel measure of utility for laboratory testing in general and for NGS in particular. This metric is, however, purely analytical and does not capture the relative clinical significance of the identified variants, which may also differ across tumor types.

  1. Constraint monitoring in TOSCA

    NASA Technical Reports Server (NTRS)

    Beck, Howard

    1992-01-01

    The Job-Shop Scheduling Problem (JSSP) deals with the allocation of resources over time to factory operations. Allocations are subject to various constraints (e.g., production precedence relationships, factory capacity constraints, and limits on the allowable number of machine setups) which must be satisfied for a schedule to be valid. The identification of constraint violations and the monitoring of constraint threats plays a vital role in schedule generation in terms of the following: (1) directing the scheduling process; and (2) informing scheduling decisions. This paper describes a general mechanism for identifying constraint violations and monitoring threats to the satisfaction of constraints throughout schedule generation.

  2. Hemispheric Asymmetries for Temporal Information Processing: Transient Detection versus Sustained Monitoring

    ERIC Educational Resources Information Center

    Okubo, Matia; Nicholls, Michael E. R.

    2008-01-01

    This study investigated functional differences in the processing of visual temporal information between the left and right hemispheres (LH and RH). Participants indicated whether or not a checkerboard pattern contained a temporal gap lasting between 10 and 40 ms. When the stimulus contained a temporal signal (i.e. a gap), responses were more…

  3. 76 FR 17147 - Proposed Information Collection; Monitoring Recovered Species After Delisting-American Peregrine...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2011-03-28

    ... the information collection (IC) described below. As required by the Paperwork Reduction Act of 1995... public and other Federal agencies to take this opportunity to comment on this IC. This IC is scheduled to... are able to consider your comments on this IC, we must receive them by May 27, 2011. ADDRESSES:...

  4. Using information technology to measure, monitor and report on environmental performance

    SciTech Connect

    Ford, G.

    1999-07-01

    This article provides an overview of the process of environmental performance evaluation (EPE), including a discussion of the rationale and context for EPE as a key component of environmental management and sustainability metrics for businesses around the world. New and emerging developments, such as environmental performance benchmarking and standardized reporting, are highlighted. The ISO 14000 model for EPE and its environmental performance indicators is described. The article then discusses the need for new technology, including the Internet, to meet these new demands, and examines the important role of information technology in creating an efficient and effective system for the EPE process. In this regard, issues such as scaleability, data identification, data collection, reporting, user interface, integration and data warehousing are explored, and examples of the application of information technology to address these issues are provided. The article concludes with a discussion of the need to use emerging information technology to integrate various key types of performance information, including environmental, according to the balanced scorecard model for integrated business sustainability metrics. It concludes that such technology should be used now, even in the absence of global standards for performance metrics, and in spite of the theoretical and practical challenges in doing so, in order to move toward the important goal of achieving comprehensive sustainability metrics.

  5. Next-generation air monitoring – an overview of EPA research to develop real-time instrumentation packages for stationary and mobile monitoring

    EPA Science Inventory

    Abstract. Air pollution measurement technology is advancing rapidly towards small-scale, real-time, wireless detectors, with a potential to significantly change the landscape of air pollution monitoring. The U.S. EPA Office of Research and Development is evaluating and developi...

  6. Arkose: A Prototype Mechanism and Tool for Collaborative Information Generation and Distillation

    ERIC Educational Resources Information Center

    Nam, Kevin Kyung

    2010-01-01

    The goals of this thesis have been to gain a better understanding of collaborative knowledge sharing and distilling and to build a prototype collaborative system that supports flexible knowledge generation and distillation. To reach these goals, I have conducted two user studies and built two systems. The first system, Arkose 1.0, is a…

  7. Data Mining in Finance: Using Counterfactuals To Generate Knowledge from Organizational Information Systems.

    ERIC Educational Resources Information Center

    Dhar, Vasant

    1998-01-01

    Shows how counterfactuals and machine learning methods can be used to guide exploration of large databases that addresses some of the fundamental problems that organizations face in learning from data. Discusses data mining, particularly in the financial arena; generating useful knowledge from data; and the evaluation of counterfactuals. (LRW)

  8. Industry sector analysis, Ecuador: Thermal power generating equipment. Export trade information

    SciTech Connect

    Not Available

    1993-04-01

    The article is derived from a report titled: The Thermal Power Generation Equipment Market in Ecuador, dated April 1993, prepared by P. Zaldumbide, A. Moreno, and N. Ordonez, American Embassy - Quito. The article consists of 10 pages and contains the following subtopics: Overview; Statistical Data; Market Assessment; Best Sales Prospects; Competitive Situation; Market Access; and Trade Promotion Opportunities.

  9. Developing a public information and engagement portal of urban waterways with real-time monitoring and modeling.

    PubMed

    Cochrane, T A; Wicke, D; O'Sullivan, A

    2011-01-01

    Waterways can contribute to the beauty and livelihood of urban areas, but maintaining their hydro-ecosystem health is challenging because they are often recipients of contaminated water from stormwater runoff and other discharges. Public awareness of local waterways' health and community impacts to these waterways is usually poor due to of lack of easily available information. To improve community awareness of water quality in urban waterways in New Zealand, a web portal was developed featuring a real-time waterways monitoring system, a public forum, historical data, interactive maps, contaminant modelling scenarios, mitigation recommendations, and a prototype contamination alert system. The monitoring system featured in the web portal is unique in the use of wireless mesh network technology, direct integration with online modelling, and a clear target of public engagement. The modelling aims to show the origin of contaminants within the local catchment and to help the community prioritize mitigation efforts to improve water quality in local waterways. The contamination alert system aims to keep managers and community members better informed and to provide a more timely response opportunity to avert any unplanned or accidental contamination of the waterways. Preliminary feedback has been positive and is being supported by local and regional authorities. The system was developed in a cost-effective manner providing a community focussed solution for quantifying and mitigating key contaminants in urban catchments and is applicable and transferable to other cities with similar stormwater challenges.

  10. Microfluidics and Stimulus-Responsive Materials -- The Key to Next Generation Chemical Sensors for Widely Distributed Environmental Monitoring

    NASA Astrophysics Data System (ADS)

    Diamond, Dermot

    2012-02-01

    The fields of chemical sensing and microfluidics have promised much, but in terms of functional devices, have delivered relatively little. Issues like biofouling and surface degradation mean that sensor characteristics change rapidly in real samples. Consequently, chemical sensors must be regularly recalibrated to ensure the information they send is reliable. This results in complex and very costly devices that must integrate fluidics, standards, and waste storage, as well as sampling and analytical procedures. The fundamental challenge for realizing sensors for widely distributed environmental monitoring is this - how can we produce low cost sensing platforms that can function reliably in an autonomous manner for periods up to years? The key to progress lies in new, and more sophisticated materials that can respond to external stimuli, and communicate with the external world. For example, materials that can be activated from a passive state, reversibly bind and release targeted guest molecules, and return to a passive form. Activation and deactivation happen as part of an external control system, which can be local (chemical in nature) or external (e.g. photonic), and the material reports its status (passive, activated-free, activated-occupied) optically materials can be incorporated into more sophisticated platforms, such as micelles, beads, or complete fluidic systems that are much more biomimetic in nature than current platforms. They include polymer actuators that expand and contract dramatically under an external stimulus (e.g. light), enabling valve and pumping functions to be fully integrated into the microfluidic device. This lecture, I will present some of the exciting possibilities for chemical sensing that are now beginning to emerge through breakthroughs in fundamental materials science.

  11. Architecture of next-generation information management systems for digital radiology enterprises

    NASA Astrophysics Data System (ADS)

    Wong, Stephen T. C.; Wang, Huili; Shen, Weimin; Schmidt, Joachim; Chen, George; Dolan, Tom

    2000-05-01

    Few information systems today offer a clear and flexible means to define and manage the automated part of radiology processes. None of them provide a coherent and scalable architecture that can easily cope with heterogeneity and inevitable local adaptation of applications. Most importantly, they often lack a model that can integrate clinical and administrative information to aid better decisions in managing resources, optimizing operations, and improving productivity. Digital radiology enterprises require cost-effective solutions to deliver information to the right person in the right place and at the right time. We propose a new architecture of image information management systems for digital radiology enterprises. Such a system is based on the emerging technologies in workflow management, distributed object computing, and Java and Web techniques, as well as Philips' domain knowledge in radiology operations. Our design adapts the approach of '4+1' architectural view. In this new architecture, PACS and RIS will become one while the user interaction can be automated by customized workflow process. Clinical service applications are implemented as active components. They can be reasonably substituted by applications of local adaptations and can be multiplied for fault tolerance and load balancing. Furthermore, it will provide powerful query and statistical functions for managing resources and improving productivity in real time. This work will lead to a new direction of image information management in the next millennium. We will illustrate the innovative design with implemented examples of a working prototype.

  12. Monitoring Utilization of a Large Scale Addiction Treatment System: The Drug and Alcohol Treatment Information System (DATIS)

    PubMed Central

    Rotondi, Nooshin Khobzi; Rush, Brian

    2012-01-01

    Client-based information systems can yield data to address issues of system accountability and planning, and contribute information related to changing patterns of substance use in treatment and, indirectly, general populations. The Drug and Alcohol Treatment Information System (DATIS) monitors the number/types of clients treated in approximately 170 publicly-funded addiction treatment agencies in Ontario. The purpose of this study was to estimate the caseload of addiction treatment agencies, and describe important characteristics of clients, their patterns of service utilization and trends over-time from 2005 to 2010. In 2009–2010, 47,065 individuals were admitted to treatment. Since 2005–2006, there has been an increase in adolescents/youth in treatment, and a decrease in the male-female gender ratio. Alcohol problems predominated, but an increasing proportion of clients used cannabis and prescription opioids. DATIS is an evolving system and an integral component of Ontario’s performance measurement system. Linkages with healthcare information systems will allow for longitudinal tracking of client health-related outcomes. PMID:22879755

  13. The information content of high-frequency environmental monitoring data signals pollution events in the coastal ocean.

    PubMed

    Jeong, Youngsul; Sanders, Brett F; Grant, Stanley B

    2006-10-15

    There are an increasing number of coastal ocean observing systems that deploy new technology for environmental sensing and stream these data in near-real-time to end-users (e.g., scientists and coastal managers) via the worldwide web. The temporal resolution, spatial coverage, and accessibility of these data open up new opportunities for better understanding and managing the coastal ocean, but they also present enormous challenges relative to data processing and data interpretation, particularly in cases where these data are to inform rapid management decision making. Here we demonstrate that changes in surf zone water quality at a popular beach in southern California are signaled by changes in the Fisher Information and Shannon Entropy of high frequency (1/4 min(-1)) measurements of salinity and temperature in the surf zone. These results support the hypothesis that the information content of environmental signals, such as salinity and temperature, can be used to identify changes in the water quality of the coastal ocean. More generally, the approach described here-of using information theory indices calculated from monitoring data as real-time indicators of environmental change-is quite general, and may therefore be applicable to other situations where rapid management decisions are based on high-frequency measurements of environmental parameters.

  14. Monitoring the informational efficiency of European corporate bond markets with dynamical permutation min-entropy

    NASA Astrophysics Data System (ADS)

    Zunino, Luciano; Bariviera, Aurelio F.; Guercio, M. Belén; Martinez, Lisana B.; Rosso, Osvaldo A.

    2016-08-01

    In this paper the permutation min-entropy has been implemented to unveil the presence of temporal structures in the daily values of European corporate bond indices from April 2001 to August 2015. More precisely, the informational efficiency evolution of the prices of fifteen sectorial indices has been carefully studied by estimating this information-theory-derived symbolic tool over a sliding time window. Such a dynamical analysis makes possible to obtain relevant conclusions about the effect that the 2008 credit crisis has had on the different European corporate bond sectors. It is found that the informational efficiency of some sectors, namely banks, financial services, insurance, and basic resources, has been strongly reduced due to the financial crisis whereas another set of sectors, integrated by chemicals, automobiles, media, energy, construction, industrial goods & services, technology, and telecommunications has only suffered a transitory loss of efficiency. Last but not least, the food & beverage, healthcare, and utilities sectors show a behavior close to a random walk practically along all the period of analysis, confirming a remarkable immunity against the 2008 financial crisis.

  15. Systems and methods that generate height map models for efficient three dimensional reconstruction from depth information

    DOEpatents

    Frahm, Jan-Michael; Pollefeys, Marc Andre Leon; Gallup, David Robert

    2015-12-08

    Methods of generating a three dimensional representation of an object in a reference plane from a depth map including distances from a reference point to pixels in an image of the object taken from a reference point. Weights are assigned to respective voxels in a three dimensional grid along rays extending from the reference point through the pixels in the image based on the distances in the depth map from the reference point to the respective pixels, and a height map including an array of height values in the reference plane is formed based on the assigned weights. An n-layer height map may be constructed by generating a probabilistic occupancy grid for the voxels and forming an n-dimensional height map comprising an array of layer height values in the reference plane based on the probabilistic occupancy grid.

  16. Integrated Information Support System (IISS). Volume 8. User Interface Subsystem. Part 27. Rapid Application Generator Product Specification

    DTIC Science & Technology

    1990-09-30

    DECLARATIONS GENDB GENERATE DATA BASE RECORDS AND FILE DECLARATIONS GENDOA GENERATE PROCEDURE "DOACT" DO ACTION GENDS ... DECLARATIONS GENDOA GENERATE PROCEDURE "DOACT" DO ACTION GENDS GENERATE DATA DATA STRUCTURES GENFP GENERATE FORM PATH GENFS GENERATE FORM DATA STRUCTURES GENFSD...GENERATE CHANGE DECLARATIONS GENDB GENERATE DATA BASE RECORDS AND FILE DECLARATIONS GENDS GENERATE DATA DATA STRUCTURES GENFP GENERATE FORM PATH

  17. From "Scuba Diving" to "Jet Skiing"? Information Behavior, Political Science, and the Google Generation

    ERIC Educational Resources Information Center

    Thornton, Stephen

    2010-01-01

    It is often suggested that the swift arrival of a world shaped by information superabundance--symbolized by the astonishing growth in popularity of the digital search engine Google--has changed the manner in which many learn. A particular concern of some is the perception that younger people have turned away from books and long articles and have…

  18. WORD STATISTICS IN THE GENERATION OF SEMANTIC TOOLS FOR INFORMATION SYSTEMS.

    ERIC Educational Resources Information Center

    STONE, DON C.

    ONE OF THE PROBLEMS IN INFORMATION STORAGE AND RETRIEVAL SYSTEMS OF TECHNICAL DOCUMENTS IS THE INTERPRETATION OF WORDS USED TO INDEX DOCUMENTS. SEMANTIC TOOLS, DEFINED AS CHANNELS FOR THE COMMUNICATION OF WORD MEANINGS BETWEEN TECHNICAL EXPERTS, DOCUMENT INDEXERS, AND SEARCHERS, PROVIDE ONE METHOD OF DEALING WITH THE PROBLEM OF MULTIPLE…

  19. Organisational Learning as an Emerging Process: The Generative Role of Digital Tools in Informal Learning Practices

    ERIC Educational Resources Information Center

    Za, Stefano; Spagnoletti, Paolo; North-Samardzic, Andrea

    2014-01-01

    Increasing attention is paid to organisational learning, with the success of contemporary organisations strongly contingent on their ability to learn and grow. Importantly, informal learning is argued to be even more significant than formal learning initiatives. Given the widespread use of digital technologies in the workplace, what requires…

  20. Mission Operations and Information Management Area Spacecraft Monitoring and Control Working Group

    NASA Technical Reports Server (NTRS)

    Lokerson, Donald C. (Editor)

    2005-01-01

    Working group goals for this year are: Goal 1. Due to many review comments the green books will be updated and available for re-review by CCSDS. Submission of green books to CCSDS for approval. Goal 2.Initial set of 4 new drafts of the red books as following: SM&C protocol: update with received comments. SM&C common services: update with received comments and expand the service specification. SM&C core services: update with received comments and expand the service the information model. SM&C time services: (target objective): produce initial draft following template of core services.

  1. Development of an Experimental African Drought Monitoring and Seasonal Forecasting System: A First Step towards a Global Drought Information System

    NASA Astrophysics Data System (ADS)

    Wood, E. F.; Chaney, N.; Sheffield, J.; Yuan, X.

    2012-12-01

    forecasts are bias corrected, downscaled and used as inputs to the VIC LSM as well as forecasts based on ESP and CPC official seasonal outlook. For Africa, data from a combination of remote sensing (TMPA-based precipitation, land cover characteristics) and GFS analysis fields (temperature and wind) are used to monitor drought using our soil moisture drought index as well as 1, 3 and and 6-month SPI. River discharge is also estimated at over 900 locations. Seasonal forecasts have been developed using CFSv2 climate forecasts following the approaches used over CONUS. We will discuss the performance of the system to evaluate the depiction of drought over various scales, from regional to the African continent, and over a number of years to capture multiple drought events. Furthermore, the hindcasts from the seasonal drought forecast system are analyzed to assess the ability of seasonal climate models to detect drought on-set and its recovery. Finally, we will discuss whether our ADM provides a pathway to a Global Drought Information System, a goal of the WCRP Drought Task Force.

  2. Uncertainty in Predicted Neighborhood-Scale Green Stormwater Infrastructure Performance Informed by field monitoring of Hydrologic Abstractions

    NASA Astrophysics Data System (ADS)

    Smalls-Mantey, L.; Jeffers, S.; Montalto, F. A.

    2013-12-01

    Human alterations to the environment provide infrastructure for housing and transportation but have drastically changed local hydrology. Excess stormwater runoff from impervious surfaces generates erosion, overburdens sewer infrastructure, and can pollute receiving bodies. Increased attention to green stormwater management controls is based on the premise that some of these issues can be mitigated by capturing or slowing the flow of stormwater. However, our ability to predict actual green infrastructure facility performance using physical or statistical methods needs additional validation, and efforts to incorporate green infrastructure controls into hydrologic models are still in their infancy stages. We use more than three years of field monitoring data to derive facility specific probability density functions characterizing the hydrologic abstractions provided by a stormwater treatment wetland, streetside bioretention facility, and a green roof. The monitoring results are normalized by impervious area treated, and incorporated into a neighborhood-scale agent model allowing probabilistic comparisons of the stormwater capture outcomes associated with alternative urban greening scenarios. Specifically, we compare the uncertainty introduced into the model by facility performance (as represented by the variability in the abstraction), to that introduced by both precipitation variability, and spatial patterns of emergence of different types of green infrastructure. The modeling results are used to update a discussion about the potential effectiveness of urban green infrastructure implementation plans.

  3. Informal report on activities in progress at the EPRI M D (Monitoring and Diagnostics) Center

    SciTech Connect

    Haynes, H.D.; Kryter, R.C.; Lacombe, C.; Stafford, C.P.

    1989-11-10

    An initial motor current signature analysis (MCSA) has been carried out on several motor-driven devices at the Eddystone power plant. An on-line automated data acquisition system has been installed and is now providing useful motor current signature information for eight Unit No. 2 extraction valves. This system has also been used to identify two significant (and apparently undesirable) extraction valve operational characteristics that are documented in this report. Initial motor current signature examinations of other equipment (eight Unit No. 3 motor-operated valves, four boiler feed pumps, two induced-draft fans, and two mills) have provided interesting detailed baseline information that will be compared with subsequent test data in order to attempt to detect aging and service wear effects and signs of incipient failure. Overall, a considerable amount of baseline motor current data has been acquired, examined, and now documented. Future work will focus on developing the capability of identifying parameter trends that are useful in detecting degradation and other abnormalities in the tested equipment. 1 ref., 100 figs., 3 tabs.

  4. Performance Evaluation and Labeling Comprehension of a New Blood Glucose Monitoring System with Integrated Information Management

    PubMed Central

    List, Susan M; Starks, Nykole; Baum, John; Greene, Carmine; Pardo, Scott; Parkes, Joan L; Schachner, Holly C; Cuddihy, Robert

    2011-01-01

    Background This study evaluated performance and product labeling of CONTOUR® USB, a new blood glucose monitoring system (BGMS) with integrated diabetes management software and a universal serial bus (USB) port, in the hands of untrained lay users and health care professionals (HCPs). Method Subjects and HCPs tested subject's finger stick capillary blood in parallel using CONTOUR USB meters; deep finger stick blood was tested on a Yellow Springs Instruments (YSI) glucose analyzer for reference. Duplicate results by both subjects and HCPs were obtained to assess system precision. System accuracy was assessed according to International Organization for Standardization (ISO) 15197:2003 guidelines [within ±15 mg/dl of mean YSI results (samples <75 mg/dl) and ±20% (samples ≥75 mg/dl)]. Clinical accuracy was determined by Parkes error grid analysis. Subject labeling comprehension was assessed by HCP ratings of subject proficiency. Key system features and ease-of-use were evaluated by subject questionnaires. Results All subjects who completed the study (N = 74) successfully performed blood glucose measurements, connected the meter to a laptop computer, and used key features of the system. The system was accurate; 98.6% (146/148) of subject results and 96.6% (143/148) of HCP results exceeded ISO 15197:2003 criteria. All subject and HCP results were clinically accurate (97.3%; zone A) or associated with benign errors (2.7%; zone B). The majority of subjects rated features of the BGMS as “very good” or “excellent.” Conclusions CONTOUR USB exceeded ISO 15197:2003 system performance criteria in the hands of untrained lay users. Subjects understood the product labeling, found the system easy to use, and successfully performed blood glucose testing. PMID:22027308

  5. Advancing civil rights, the next generation: the Genetic Information Nondiscrimination Act of 2008 and beyond.

    PubMed

    Tan, Morse Hyun-Myung

    2009-01-01

    On the leading edge of civil rights law and bioethics/healthcare law, this Article provides the first law review analysis of the recently passed Genetic Information Nondiscrimination Act (GINA) of 2008, which extends important protection against discrimination in health insurance and employment. GINA also bolsters genetic research by freeing research subjects from the threat of genetic discrimination. This Article demonstrates how GINA further protects this society against the rising dangers of genetic discrimination beyond previously existing federal and state law.

  6. Nuclear Energy Research Initiative (NERI): On-Line Intelligent Self-Diagnostic Monitoring for Next Generation Nuclear Plants - Phase I Annual Report

    SciTech Connect

    L. J. Bond; S. R. Doctor; R. W. Gilbert; D. B. Jarrell; F. L. Greitzer; R. J. Meador

    2000-09-01

    OAK-B135 This OSTI ID belongs to an IWO and is being released out of the system. The Program Manager Rebecca Richardson has confirmed that all reports have been received. The objective of this project is to design and demonstrate the operation of the real-time intelligent self-diagnostic and prognostic system for next generation nuclear power plant systems. This new self-diagnostic technology is titled, ''On-Line Intelligent Self-Diagnostic Monitoring System'' (SDMS). This project provides a proof-of-principle technology demonstration for SDMS on a pilot plant scale service water system, where a distributed array of sensors is integrated with active components and passive structures typical of next generation nuclear power reactor and plant systems. This project employs state-of-the-art sensors, instrumentation, and computer processing to improve the monitoring and assessment of the power reactor system and to provide diagnostic and automated prognostics capabilities.

  7. A field programmable gate array-based reconfigurable smart-sensor network for wireless monitoring of new generation computer numerically controlled machines.

    PubMed

    Moreno-Tapia, Sandra Veronica; Vera-Salas, Luis Alberto; Osornio-Rios, Roque Alfredo; Dominguez-Gonzalez, Aurelio; Stiharu, Ion; Romero-Troncoso, Rene de Jesus

    2010-01-01

    Computer numerically controlled (CNC) machines have evolved to adapt to increasing technological and industrial requirements. To cover these needs, new generation machines have to perform monitoring strategies by incorporating multiple sensors. Since in most of applications the online Processing of the variables is essential, the use of smart sensors is necessary. The contribution of this work is the development of a wireless network platform of reconfigurable smart sensors for CNC machine applications complying with the measurement requirements of new generation CNC machines. Four different smart sensors are put under test in the network and their corresponding signal processing techniques are implemented in a Field Programmable Gate Array (FPGA)-based sensor node.

  8. Application of digital image processing techniques and information systems to water quality monitoring of Lake Tahoe

    NASA Technical Reports Server (NTRS)

    Smith, A. Y.; Blackwell, R. J.

    1981-01-01

    The Tahoe basin occupies over 500 square miles of territory located in a graben straddling the boundary between California and Nevada. Lake Tahoe contains 126 million acre-feet of water. Since the 1950's the basin has experienced an ever increasing demand for land development at the expense of the natural watershed. Discharge of sediment to the lake has greatly increased owing to accelerated human interference, and alterations to the natural drainage patterns are evident in some areas. In connection with an investigation of the utility of a comprehensive system that takes into account the causes as well as the effects of lake eutrophication, it has been attempted to construct an integrated and workable data base, comprised of currently available data sources for the Lake Tahoe region. Attention is given to the image based information system (IBIS), the construction of the Lake Tahoe basin data base, and the application of the IBIS concept to the Lake Tahoe basin.

  9. [Use of the DIAPHANE information system for the monitoring of patients treated by home hemodialysis].

    PubMed

    Masselot, J P; Adhemar, J P; Laederich, J; Degoulet, P; Kleinknecht, D

    1979-12-01

    Data of the DIAPHANE Dialyse-Informatique system of the Society of Nephrology have been collected by patients just on a home dialysis program after training in the hemodialysis Unit of the Hospital of Montreuil. 35 patients have been using the computerized records since January 1978. A critical analysis of the first year has been made and results obtained have been compared with those obtained during the same period in patients dialysed in the Hospital. Results show that home dialysis patients are well able to fill in the computerized medical record concerning the dialysis session follow-up, and that the quality of the recorded information is similar to that recorded in hospital by nurses. Nevertheless few simplifications of home dialysis data sheet are considered. Computerized treatment of data collected on home dialysis program should allow useful comparisons required to improve the quality of care and expansion of this dialysis method.

  10. A Computer-aided Application for Modeling and Monitoring Operational and Maintenance Information in Mining Trucks

    NASA Astrophysics Data System (ADS)

    Nikulin, Christopher; Ulloa, Andres; Carmona, Carlos; Creixell, Werner

    2016-09-01

    The combination of maintenance planning and key performance indicators are relevant to create a more holistic scenario of the mining activities. On the one hand, reliability and maintainability are system characteristics suitable for planning maintenance strategies. On the other hand, key performance indicators are suitable to analyze cost and resource consumption information about mining equipment. Nevertheless in practice, both approaches are modeled separately and frequently by different team-works of a mining company. With this in mind, a computer-aided application was conceived to drive with better efficacy the operational and maintenance strategy in a complex process where the equipment is in continuous movement such as the transportation process in an open-mine pit.

  11. An Indicator of Solid Waste Generation Potential for Illinois Using Principal Components Analysis and Geographic Information Systems.

    PubMed

    Dallas, M D; Kerzee, R G; Bing-Canar, J; Mensah, E K; Oroke, K G; Swager, R R

    1996-05-01

    An indicator of solid waste generation potential (SWGP) is proposed as a versatile means to assist the development of integrated solid waste (SW) management plans. The proposed indicator is based on key sodoeconomic variables for the State of Illinois which were found to be highly correlated with variables describing the SW stream of the State. The proposed indicator was derived by applying the principal components analysis (PCA) technique. The technique is used to merge the rank transformed socioeconomic variables into a single variable, the SWGP indicator, while maintaining the regional information of the original variables. An innovative aspect of this indicator approach is the use of the ordinal scale for all these diverse variables. The validity of this approach was assessed and the proposed indicator was found to be directly proportional to a composite variable describing the SW stream for the State of Illinois. The use of Geographic Information Systems (GIS) to depict the spatial distribution of the SWGP will help planners visualize the expected overall refuse generation pattern and to identify critical regions. In addition, the proposed indicator could be used as an instrument to validate the solid waste generation (SWG) quantities reported by counties to state agencies.

  12. Information Generated by the Moving Pinnae of Rhinolophus rouxi: Tuning of the Morphology at Different Harmonics

    PubMed Central

    Vanderelst, Dieter; Reijniers, Jonas; Steckel, Jan; Peremans, Herbert

    2011-01-01

    Bats typically emit multi harmonic calls. Their head morphology shapes the emission and hearing sound fields as a function of frequency. Therefore, the sound fields are markedly different for the various harmonics. As the sound field provides bats with all necessary cues to locate objects in space, different harmonics might provide them with variable amounts of information about the location of objects. Also, the ability to locate objects in different parts of the frontal hemisphere might vary across harmonics. This paper evaluates this hypothesis in R. rouxi, using an information theoretic framework. We estimate the reflector position information transfer in the echolocation system of R. rouxi as a function of frequency. This analysis shows that localization performance reaches a global minimum and a global maximum at the two most energetic frequency components of R. rouxi call indicating tuning of morphology and harmonic structure. Using the fundamental the bat is able to locate objects in a large portion of the frontal hemisphere. In contrast, using the 1 overtone, it can only locate objects, albeit with a slightly higher accuracy, in a small portion of the frontal hemisphere by reducing sensitivity to echoes from outside this region of interest. Hence, different harmonic components provide the bat either with a wide view or a focused view of its environment. We propose these findings can be interpreted in the context of the foraging behaviour of R. rouxi, i.e., hunting in cluttered environments. Indeed, the focused view provided by the 1 overtone suggests that at this frequency its morphology is tuned for clutter rejection and accurate localization in a small region of interest while the finding that overall localization performance is best at the fundamental indicates that the morphology is simultaneously tuned to optimize overall localization performance at this frequency. PMID:21698094

  13. Information generated by the moving pinnae of Rhinolophus rouxi: tuning of the morphology at different harmonics.

    PubMed

    Vanderelst, Dieter; Reijniers, Jonas; Steckel, Jan; Peremans, Herbert

    2011-01-01

    Bats typically emit multi harmonic calls. Their head morphology shapes the emission and hearing sound fields as a function of frequency. Therefore, the sound fields are markedly different for the various harmonics. As the sound field provides bats with all necessary cues to locate objects in space, different harmonics might provide them with variable amounts of information about the location of objects. Also, the ability to locate objects in different parts of the frontal hemisphere might vary across harmonics. This paper evaluates this hypothesis in R. rouxi, using an information theoretic framework. We estimate the reflector position information transfer in the echolocation system of R. rouxi as a function of frequency. This analysis shows that localization performance reaches a global minimum and a global maximum at the two most energetic frequency components of R. rouxi call indicating tuning of morphology and harmonic structure. Using the fundamental the bat is able to locate objects in a large portion of the frontal hemisphere. In contrast, using the 1st overtone, it can only locate objects, albeit with a slightly higher accuracy, in a small portion of the frontal hemisphere by reducing sensitivity to echoes from outside this region of interest. Hence, different harmonic components provide the bat either with a wide view or a focused view of its environment. We propose these findings can be interpreted in the context of the foraging behaviour of R. rouxi, i.e., hunting in cluttered environments. Indeed, the focused view provided by the 1st overtone suggests that at this frequency its morphology is tuned for clutter rejection and accurate localization in a small region of interest while the finding that overall localization performance is best at the fundamental indicates that the morphology is simultaneously tuned to optimize overall localization performance at this frequency.

  14. LMD Method and Multi-Class RWSVM of Fault Diagnosis for Rotating Machinery Using Condition Monitoring Information

    PubMed Central

    Liu, Zhiwen; Chen, Xuefeng; He, Zhengjia; Shen, Zhongjie

    2013-01-01

    Timely and accurate condition monitoring and fault diagnosis of rotating machinery are very important to maintain a high degree of availability, reliability and operational safety. This paper presents a novel intelligent method based on local mean decomposition (LMD) and multi-class reproducing wavelet support vector machines (RWSVM), which is applied to diagnose rotating machinery faults. First, the sensor-based vibration signals measured from the rotating machinery are preprocessed by the LMD method and product functions (PFs) are produced. Second, statistic features are extracted to acquire more fault characteristic information from the sensitive PF. Finally, these features are fed into a multi-class RWSVM to identify the rotating machinery health conditions. The experimental results validate the effectiveness of the proposed RWSVM method in identifying rotating machinery fault patterns accurately and effectively and its superiority over that based on the general SVM. PMID:23881133

  15. LMD method and multi-class RWSVM of fault diagnosis for rotating machinery using condition monitoring information.

    PubMed

    Liu, Zhiwen; Chen, Xuefeng; He, Zhengjia; Shen, Zhongjie

    2013-07-05

    Timely and accurate condition monitoring and fault diagnosis of rotating machinery are very important to maintain a high degree of availability, reliability and operational safety. This paper presents a novel intelligent method based on local mean decomposition (LMD) and multi-class reproducing wavelet support vector machines (RWSVM), which is applied to diagnose rotating machinery faults. First, the sensor-based vibration signals measured from the rotating machinery are preprocessed by the LMD method and product functions (PFs) are produced. Second, statistic features are extracted to acquire more fault characteristic information from the sensitive PF. Finally, these features are fed into a multi-class RWSVM to identify the rotating machinery health conditions. The experimental results validate the effectiveness of the proposed RWSVM method in identifying rotating machinery fault patterns accurately and effectively and its superiority over that based on the general SVM.

  16. Practice informs the next generation of behavioral health and criminal justice interventions.

    PubMed

    Wolff, Nancy; Frueh, B Christopher; Huening, Jessica; Shi, Jing; Epperson, Matthew W; Morgan, Robert; Fisher, William

    2013-01-01

    Specialized interventions, such as police and jail diversion, mental health courts, specialized probation, forensic assertive community treatment, designed to engage justice-involved persons with serious mental illnesses, have expanded over the past two decades. Some of these "first generation" interventions have demonstrated efficacy and several have earned recognition as evidence-based practices. Yet, overall, they have not appreciably reduced the prevalence of persons with serious mental illnesses involved in the criminal justice system. To understand how to make the next generation of interventions more effective, a survey of a national sample of community-based programs serving these clients was conducted. Surveys were completed on-line by direct service staff affiliated with 85 programs and collected data on the characteristics and needs of the client base; characteristics and challenges associated with difficult-to-engage clients; service needs and obstacles; and recommendations for improving program effectiveness. A sample of the survey participants (19 programs from 18 states) attended a day-long workshop to discuss the survey findings and ways to improve treatment adherence and client services. Respondents reported that their clients have a constellation of problems with different origins, etiologies, and symptoms, often crossing over the boundaries of mental illness, addictions, and antisocial pathologies. According to the practitioners working with justice-involved clients with mental illnesses, responding effectively requires knowledge of many different problems, expertise to respond to them, and an understanding of how these problems interact when they co-occur. The poly-problems of these clients suggest the need for an integrated and comprehensive approach, which is challenged by the fragmented and diverse ideologies of the behavioral health, criminal justice, and social service systems.

  17. Integrating seasonal information on nutrients and benthic algal biomass into stream water quality monitoring

    USGS Publications Warehouse

    Konrad, Christopher P.; Munn, Mark D.

    2016-01-01

    Benthic chlorophyll a (BChl a) and environmental factors that influence algal biomass were measured monthly from February through October in 22 streams from three agricultural regions of the United States. At-site maximum BChl a ranged from 14 to 406 mg/m2 and generally varied with dissolved inorganic nitrogen (DIN): 8 out of 9 sites with at-site median DIN >0.5 mg/L had maximum BChl a >100 mg/m2. BChl aaccrued and persisted at levels within 50% of at-site maximum for only one to three months. No dominant seasonal pattern for algal biomass accrual was observed in any region. A linear model with DIN, water surface gradient, and velocity accounted for most of the cross-site variation in maximum chlorophyll a(adjusted R2 = 0.7), but was no better than a single value of DIN = 0.5 mg/L for distinguishing between low and high-biomass sites. Studies of nutrient enrichment require multiple samples to estimate algal biomass with sufficient precision given the magnitude of temporal variability of algal biomass. An effective strategy for regional stream assessment of nutrient enrichment could be based on a relation between maximum BChl a and DIN based on repeat sampling at sites selected to represent a gradient in nutrients and application of the relation to a larger number of sites with synoptic nutrient information.

  18. Monitoring and Assessment of Saltwater Intrusion using Geographic Information Systems (GIS), Remote Sensing and Geophysical measurements of Guimaras Island, Philippines

    NASA Astrophysics Data System (ADS)

    Hernandez, B. C. B.

    2015-12-01

    Degrading groundwater quality due to saltwater intrusion is one of the key challenges affecting many island aquifers. These islands hold limited capacity for groundwater storage and highly dependent on recharge due to precipitation. But its ease of use, natural storage and accessibility make it more vulnerable to exploitation and more susceptible to encroachment from its surrounding oceanic waters. Estimating the extent of saltwater intrusion and the state of groundwater resources are important in predicting and managing water supply options for the community. In Guimaras island, central Philippines, increasing settlements, agriculture and tourism are causing stresses on its groundwater resource. Indications of saltwater intrusion have already been found at various coastal areas in the island. A Geographic Information Systems (GIS)-based approach using the GALDIT index was carried out. This includes six parameters assessing the seawater intrusion vulnerability of each hydrogeologic setting: Groundwater occurrence, Aquifer hydraulic conductivity, Groundwater Level above sea, Distance to shore, Impact of existing intrusion and Thickness of Aquifer. To further determine the extent of intrusion, Landsat images of various thematic layers were stacked and processed for unsupervised classification and electrical resistivity tomography using a 28-electrode system with array lengths of 150 and 300 meters was conducted. The GIS index showed where the vulnerable areas are located, while the geophysical measurements and images revealed extent of seawater encroachment along the monitoring wells. These results are further confirmed by the measurements collected from the monitoring wells. This study presents baseline information on the state of groundwater resources and increase understanding of saltwater intrusion dynamics in island ecosystems by providing a guideline for better water resource management in the Philippines.

  19. Development of real time monitor system displaying seismic waveform data observed at seafloor seismic network, DONET, for disaster management information

    NASA Astrophysics Data System (ADS)

    Horikawa, H.; Takaesu, M.; Sueki, K.; Takahashi, N.; Sonoda, A.; Miura, S.; Tsuboi, S.

    2014-12-01

    Mega-thrust earthquakes are anticipated to occur in the Nankai Trough in southwest Japan. In the source areas, we have deployed seafloor seismic network, DONET (Dense Ocean-floor Network System for Earthquake and Tsunamis), in 2010 in order to monitor seismicity, crustal deformations, and tsunamis. DONET system consists of totally 20 stations, which is composed of six kinds of sensors, including strong-motion seismometers and quartz pressure gauges. Those stations are densely distributed with an average spatial interval of 15-20 km and cover near the trench axis to coastal areas. Observed data are transferred to a land station through a fiber-optical cable and then to JAMSTEC (Japan Agency for Marine-Earth Science and Technology) data management center through a private network in real time. After 2011 off the Pacific coast of Tohoku Earthquake, each local government close to Nankai Trough try to plan disaster prevention scheme. JAMSTEC will disseminate DONET data combined with research accomplishment so that they will be widely recognized as important earthquake information. In order to open DONET data observed for research to local government, we have developed a web application system, REIS (Real-time Earthquake Information System). REIS is providing seismic waveform data to some local governments close to Nankai Trough as a pilot study. As soon as operation of DONET is ready, REIS will start full-scale operation. REIS can display seismic waveform data of DONET in real-time, users can select strong motion and pressure data, and configure the options of trace view arrangement, time scale, and amplitude. In addition to real-time monitoring, REIS can display past seismic waveform data and show earthquake epicenters on the map. In this presentation, we briefly introduce DONET system and then show our web application system. We also discuss our future plans for further developments of REIS.

  20. Assessing the Utility of 3-km Land Information System Soil Moisture Data for Drought Monitoring and Hydrologic Applications

    NASA Technical Reports Server (NTRS)

    White, Kristopher D.; Case, Jonathan L.

    2014-01-01

    The NASA Short term Prediction Research and Transition (SPoRT) Center in Huntsville, AL has been running a real-time configuration of the Noah land surface model within the NASA Land Information System (LIS) since June 2010. The SPoRT LIS version is run as a stand-alone land surface model over a Southeast Continental U.S. domain with 3-km grid spacing. The LIS contains output variables including soil moisture and temperature at various depths, skin temperature, surface heat fluxes, storm surface runoff, and green vegetation fraction (GVF). The GVF represents another real-time SPoRT product, which is derived from the Moderate Resolution Imaging Spectroradiometer instrument aboard NASA's Aqua and Terra satellites. These data have demonstrated operational utility for drought monitoring and hydrologic applications at the National Weather Service (NWS) office in Huntsville, AL since early 2011. The most relevant data for these applications have proven to be the moisture availability (%) in the 0-10 cm and 0-200 cm layers, and the volumetric soil moisture (%) in the 0-10 cm layer. In an effort to better understand their applicability among locations with different terrain, soil and vegetation types, SPoRT is conducting the first formal assessment of these data at NWS offices in Houston, TX, Huntsville, AL and Raleigh, NC during summer 2014. The goal of this assessment is to evaluate the LIS output in the context of assessing flood risk and determining drought designations for the U.S. Drought Monitor. Forecasters will provide formal feedback via a survey question web portal, in addition to the NASA SPoRT blog. In this presentation, the SPoRT LIS and its applications at NWS offices will be presented, along with information about the summer assessment, including training module development and preliminary results.

  1. [Clarity of flight information in the cockpit of the new aircraft generation].

    PubMed

    Stern, C; Schwartz, R; Groenhoff, S; Draeger, J; Hüttig, G; Bernhard, H

    1994-08-01

    Fundamental changes of cockpit design in recent years, especially the transition from analogue to digital flight information systems and the use of colour-coded displays, lead to new demands on the visual system of the pilot. Twenty experienced pilots each participated in four 15-min sessions with a simulator program in the new Airbus 340 Simulator of the Technical University of Berlin. The pilots were confronted with various flight situations and events. The simulation program was carried out with visual acuity of 1.0 or better, with acuity reduced to 0.5 and with red and green filters. The time between the display of information and the pilot's reaction was determined. The probands were classified into two groups according to their age (< or = 45 years, > or = 45 years). In both age groups a significant difference was found only with green filters. There was no difference with reduced visual acuity or with red filters, and no differences were seen between the two age groups.

  2. Entropy generation in Gaussian quantum transformations: applying the replica method to continuous-variable quantum information theory

    NASA Astrophysics Data System (ADS)

    Gagatsos, Christos N.; Karanikas, Alexandros I.; Kordas, Georgios; Cerf, Nicolas J.

    2016-02-01

    In spite of their simple description in terms of rotations or symplectic transformations in phase space, quadratic Hamiltonians such as those modelling the most common Gaussian operations on bosonic modes remain poorly understood in terms of entropy production. For instance, determining the quantum entropy generated by a Bogoliubov transformation is notably a hard problem, with generally no known analytical solution, while it is vital to the characterisation of quantum communication via bosonic channels. Here we overcome this difficulty by adapting the replica method, a tool borrowed from statistical physics and quantum field theory. We exhibit a first application of this method to continuous-variable quantum information theory, where it enables accessing entropies in an optical parametric amplifier. As an illustration, we determine the entropy generated by amplifying a binary superposition of the vacuum and a Fock state, which yields a surprisingly simple, yet unknown analytical expression.

  3. Understanding natural herpes simplex virus immunity to inform next-generation vaccine design

    PubMed Central

    Sandgren, Kerrie J; Bertram, Kirstie; Cunningham, Anthony L

    2016-01-01

    Incremental advances in our knowledge of how natural immune control of herpes simplex virus (HSV) develops have yielded insight as to why previous vaccine attempts have only been partially successful, however, our understanding of these pathways, particularly in humans, is still incomplete. Further elucidation of the innate immune events that are responsible for stimulating these effector responses is required to accurately inform vaccine design. An enhanced understanding of the mechanism of action of novel adjuvants will also facilitate the rational choice of adjuvant to optimise such responses. Here we review the reasons for the hitherto partial HSV vaccine success and align these with our current knowledge of how natural HSV immunity develops. In particular, we focus on the innate immune response and the role of dendritic cells in inducing protective T-cell responses and how these pathways might be recapitulated in a vaccine setting. PMID:27525067

  4. Generating an agricultural risk map based on limited ecological information: A case study using Sicyos angulatus.

    PubMed

    Osawa, Takeshi; Okawa, Shigenori; Kurokawa, Shunji; Ando, Shinichiro

    2016-12-01

    In this study, we propose a method for estimating the risk of agricultural damage caused by an invasive species when species-specific information is lacking. We defined the "risk" as the product of the invasion probability and the area of potentially damaged crop for production. As a case study, we estimated the risk imposed by an invasive weed, Sicyos angulatus, based on simple cellular simulations and governmental data on the area of crop that could potentially be damaged in Miyagi Prefecture, Japan. Simulation results revealed that the current distribution range was sufficiently accurate for practical purposes. Using these results and records of crop areas, we present risk maps for S. angulatus in agricultural fields. Managers will be able to use these maps to rapidly establish a management plan with minimal cost. Our approach will be valuable for establishing a management plan before or during the early stages of invasion.

  5. Self-Existing Objects and Auto-Generated Information in Chronology-Violating Space-Times

    NASA Astrophysics Data System (ADS)

    Romero, Gustavo E.; Torres, Diego F.

    Closed time-like curves (CTCs) naturally appear in a variety of chronology-violating space-times. In these space-times, the principle of self-consistency demands a harmony between local and global affairs that excludes grandfather-like paradoxes. However, self-existing objects trapped in CTCs are not seemingly avoided by the standard interpretation of this principle, usually constrained to a dynamical framework. In this letter we discuss whether we are committed to accept an ontology with self-existing objects if CTCs actually occur in the universe. In addition, the epistemological status of the principle of self-consistency is analyzed and a discussion on the information flux through CTCs is presented.

  6. Exploratory Movement Generates Higher-Order Information That Is Sufficient for Accurate Perception of Scaled Egocentric Distance

    PubMed Central

    Mantel, Bruno; Stoffregen, Thomas A.; Campbell, Alain; Bardy, Benoît G.

    2015-01-01

    Body movement influences the structure of multiple forms of ambient energy, including optics and gravito-inertial force. Some researchers have argued that egocentric distance is derived from inferential integration of visual and non-visual stimulation. We suggest that accurate information about egocentric distance exists in perceptual stimulation as higher-order patterns that extend across optics and inertia. We formalize a pattern that specifies the egocentric distance of a stationary object across higher-order relations between optics and inertia. This higher-order parameter is created by self-generated movement of the perceiver in inertial space relative to the illuminated environment. For this reason, we placed minimal restrictions on the exploratory movements of our participants. We asked whether humans can detect and use the information available in this higher-order pattern. Participants judged whether a virtual object was within reach. We manipulated relations between body movement and the ambient structure of optics and inertia. Judgments were precise and accurate when the higher-order optical-inertial parameter was available. When only optic flow was available, judgments were poor. Our results reveal that participants perceived egocentric distance from the higher-order, optical-inertial consequences of their own exploratory activity. Analysis of participants’ movement trajectories revealed that self-selected movements were complex, and tended to optimize availability of the optical-inertial pattern that specifies egocentric distance. We argue that accurate information about egocentric distance exists in higher-order patterns of ambient energy, that self-generated movement can generate these higher-order patterns, and that these patterns can be detected and used to support perception of egocentric distance that is precise and accurate. PMID:25856410

  7. An information theoretic approach for generating an aircraft avoidance Markov Decision Process

    NASA Astrophysics Data System (ADS)

    Weinert, Andrew J.

    Developing a collision avoidance system that can meet safety standards required of commercial aviation is challenging. A dynamic programming approach to collision avoidance has been developed to optimize and generate logics that are robust to the complex dynamics of the national airspace. The current approach represents the aircraft avoidance problem as Markov Decision Processes and independently optimizes a horizontal and vertical maneuver avoidance logics. This is a result of the current memory requirements for each logic, simply combining the logics will result in a significantly larger representation. The "curse of dimensionality" makes it computationally inefficient and unfeasible to optimize this larger representation. However, existing and future collision avoidance systems have mostly defined the decision process by hand. In response, a simulation-based framework was built to better understand how each potential state quantifies the aircraft avoidance problem with regards to safety and operational components. The framework leverages recent advances in signals processing and database, while enabling the highest fidelity analysis of Monte Carlo aircraft encounter simulations to date. This framework enabled the calculation of how well each state of the decision process quantifies the collision risk and the associated memory requirements. Using this analysis, a collision avoidance logic that leverages both horizontal and vertical actions was built and optimized using this simulation based approach.

  8. Combining HJ CCD, GF-1 WFV and MODIS Data to Generate Daily High Spatial Resolution Synthetic Data for Environmental Process Monitoring

    PubMed Central

    Wu, Mingquan; Huang, Wenjiang; Niu, Zheng; Wang, Changyao

    2015-01-01

    The limitations of satellite data acquisition mean that there is a lack of satellite data with high spatial and temporal resolutions for environmental process monitoring. In this study, we address this problem by applying the Enhanced Spatial and Temporal Adaptive Reflectance Fusion Model (ESTARFM) and the Spatial and Temporal Data Fusion Approach (STDFA) to combine Huanjing satellite charge coupled device (HJ CCD), Gaofen satellite no. 1 wide field of view camera (GF-1 WFV) and Moderate Resolution Imaging Spectroradiometer (MODIS) data to generate daily high spatial resolution synthetic data for land surface process monitoring. Actual HJ CCD and GF-1 WFV data were used to evaluate the precision of the synthetic images using the correlation analysis method. Our method was tested and validated for two study areas in Xinjiang Province, China. The results show that both the ESTARFM and STDFA can be applied to combine HJ CCD and MODIS reflectance data, and GF-1 WFV and MODIS reflectance data, to generate synthetic HJ CCD data and synthetic GF-1 WFV data that closely match actual data with correlation coefficients (r) greater than 0.8989 and 0.8643, respectively. Synthetic red- and near infrared (NIR)-band data generated by ESTARFM are more suitable for the calculation of Normalized Different Vegetation Index (NDVI) than the data generated by STDFA. PMID:26308017

  9. Generation of priority research questions to inform conservation policy and management at a national level.

    PubMed

    Rudd, Murray A; Beazley, Karen F; Cooke, Steven J; Fleishman, Erica; Lane, Daniel E; Mascia, Michael B; Roth, Robin; Tabor, Gary; Bakker, Jiselle A; Bellefontaine, Teresa; Berteaux, Dominique; Cantin, Bernard; Chaulk, Keith G; Cunningham, Kathryn; Dobell, Rod; Fast, Eleanor; Ferrara, Nadia; Findlay, C Scott; Hallstrom, Lars K; Hammond, Thomas; Hermanutz, Luise; Hutchings, Jeffrey A; Lindsay, Kathryn E; Marta, Tim J; Nguyen, Vivian M; Northey, Greg; Prior, Kent; Ramirez-Sanchez, Saudiel; Rice, Jake; Sleep, Darren J H; Szabo, Nora D; Trottier, Geneviève; Toussaint, Jean-Patrick; Veilleux, Jean-Philippe

    2011-06-01

    generating and prioritizing research questions at a national level could be a model for similar efforts beyond Canada.

  10. Generation of Priority Research Questions to Inform Conservation Policy and Management at a National Level

    PubMed Central

    Rudd, Murray A; Beazley, Karen F; Cooke, Steven J; Fleishman, Erica; Lane, Daniel E; Mascia, Michael B; Roth, Robin; Tabor, Gary; Bakker, Jiselle A; Bellefontaine, Teresa; Berteaux, Dominique; Cantin, Bernard; Chaulk, Keith G; Cunningham, Kathryn; Dobell, Rod; Fast, Eleanor; Ferrara, Nadia; Findlay, C Scott; Hallstrom, Lars K; Hammond, Thomas; Hermanutz, Luise; Hutchings, Jeffrey A; Lindsay, Kathryn E; Marta, Tim J; Nguyen, Vivian M; Northey, Greg; Prior, Kent; Ramirez-Sanchez, Saudiel; Rice, Jake; Sleep, Darren J H; Szabo, Nora D; Trottier, Geneviève; Toussaint, Jean-Patrick; Veilleux, Jean-Philippe

    2011-01-01

    generating and prioritizing research questions at a national level could be a model for similar efforts beyond Canada. Generación de Preguntas de Investigación Prioritarias para Informar a las Políticas y Gestión de la Conservación a Nivel Nacional PMID:21175828

  11. Primary healthcare information system--the cornerstone for the next generation healthcare sector in Republic of Croatia.

    PubMed

    Koncar, Miroslav; Gvozdanović, Darko

    2006-01-01

    At no time in the history of medicine has the growth in knowledge and technologies been so profound [Crossing the Quality Chasm: A New Health System for the 21st Century, Institute of Medicine (IOM), 2001. ISBN 0-309-07280-8]. However, healthcare delivery systems today are not able to keep up with the pace. Studies have shown that it takes an average of about 17 years for new knowledge generated by randomized trials to be incorporated into practice [B. Andrew, S. Boren, Managing clinical knowledge for health care improvement, in: Yearbook of Medical Informatics, National Library of Medicine, Bethesda, MD, 2000, pp. 65-70]. It is safe to say that today healthcare systems "have the data, but not information". In order to provide highest quality patient care, Republic of Croatia has started the process of introducing enterprise information systems to support business processes in the healthcare domain. Two major requirements are in focus: to provide efficient healthcare related data management in support of decision-making processes; and to support continuous process of healthcare resources spending optimization. The first initiated project refers to Primary Healthcare Information System (PHCIS) that provides domain of primary care with state-of-the-art enterprise information system that connects General Practitioners, Pediatricians and Gynecologists offices with the Croatian Institute for Health Insurance and Public Health Institute. In the years to come, PHCIS will serve as the main integration platform for connecting all other stakeholders and levels of healthcare (e.g. hospitals, pharmacies, laboratories) into single enterprise healthcare network. This article gives an overview of PHCIS, explains challenges that were faced in designing and implementing the system, and elaborates PHCIS role as the cornerstone for the next generation healthcare provisioning in Republic of Croatia.

  12. Automated determination of size and morphology information from soot transmission electron microscope (TEM)-generated images

    NASA Astrophysics Data System (ADS)

    Wang, Cheng; Chan, Qing N.; Zhang, Renlin; Kook, Sanghoon; Hawkes, Evatt R.; Yeoh, Guan H.; Medwell, Paul R.

    2016-05-01

    The thermophoretic sampling of particulates from hot media, coupled with transmission electron microscope (TEM) imaging, is a combined approach that is widely used to derive morphological information. The identification and the measurement of the particulates, however, can be complex when the TEM images are of low contrast, noisy, and have non-uniform background signal level. The image processing method can also be challenging and time consuming, when the samples collected have large variability in shape and size, or have some degree of overlapping. In this work, a three-stage image processing sequence is presented to facilitate time-efficient automated identification and measurement of particulates from the TEM grids. The proposed processing sequence is first applied to soot samples that were thermophoretically sampled from a laminar non-premixed ethylene-air flame. The parameter values that are required to be set to facilitate the automated process are identified, and sensitivity of the results to these parameters is assessed. The same analysis process is also applied to soot samples that were acquired from an externally irradiated laminar non-premixed ethylene-air flame, which have different geometrical characteristics, to assess the morphological dependence of the proposed image processing sequence. Using the optimized parameter values, statistical assessments of the automated results reveal that the largest discrepancies that are associated with the estimated values of primary particle diameter, fractal dimension, and prefactor values of the aggregates for the tested cases, are approximately 3, 1, and 10 %, respectively, when compared with the manual measurements.

  13. Comparison of mass spectrometric techniques for generating molecular weight information on a class of ethoxylated oligomers.

    PubMed

    Parees, D M; Hanton, S D; Clark, P A; Willcox, D A

    1998-04-01

    The results of fast atom bombardment (FAB), time-of-flight secondary ion mass spectrometry (ToF-SIMS), matrix-assisted laser desorption/ionization (MALD/I), electrospray ionization (ESI), and field desorption (FD) analyses of ethoxylated oligomers of 2,4,7,9-tetramethyl-5-decyne-4,7-diol (Surfynol(®) 104) were compared.Each of these desorption mass spectrometry (MS) techniques can produce spectra of unfragmented cationized oligomers. From the observed ion series we calculate average molecular weight information. We have compared the results of mass spectrometric analyses of a series of ethoxylated Surfynol surfactants. Our data indicate that FAB, ToF-SIMS, MALDI/I, and ESI produce similar results for the lower molecular weight species, but that as the average molecular weight increases FAB and SIMS produce slightly lower results than MALD/I and FD. This could be due to increased fragmentation. ESI produced a result similar to FAB and SIMS for the highest average molecular weight material. Further experiments compare the mass spectral results with gas chromatographic quantitative data. Although gas chromatography is not expected to accurately analyze the higher mass oligomers, we observe significant differences in intensities of the short-chain oligomers (especially the 0- and 1-mers) when compared to the desorption mass spectrometer results. These differences may reflect poor cationization efficiency for very short oligomer chains in the mass spectrometric analyses.

  14. Reflecting on Earlier Experiences with Unsolicited Findings: Points to Consider for Next-Generation Sequencing and Informed Consent in Diagnostics

    PubMed Central

    Rigter, Tessel; Henneman, Lidewij; Kristoffersson, Ulf; Hall, Alison; Yntema, Helger G; Borry, Pascal; Tönnies, Holger; Waisfisz, Quinten; Elting, Mariet W; Dondorp, Wybo J; Cornel, Martina C

    2013-01-01

    High-throughput nucleotide sequencing (often referred to as next-generation sequencing; NGS) is increasingly being chosen as a diagnostic tool for cases of expected but unresolved genetic origin. When exploring a higher number of genetic variants, there is a higher chance of detecting unsolicited findings. The consequential increased need for decisions on disclosure of these unsolicited findings poses a challenge for the informed consent procedure. This article discusses the ethical and practical dilemmas encountered when contemplating informed consent for NGS in diagnostics from a multidisciplinary point of view. By exploring recent similar experiences with unsolicited findings in other settings, an attempt is made to describe what can be learned so far for implementing NGS in standard genetic diagnostics. The article concludes with a set of points to consider in order to guide decision-making on the extent of return of results in relation to the mode of informed consent. We hereby aim to provide a sound basis for developing guidelines for optimizing the informed consent procedure. PMID:23784691

  15. A Multimodel Global Drought Information System (GDIS) for Near Real-Time Monitoring of Surface Water Conditions (Invited)

    NASA Astrophysics Data System (ADS)

    Nijssen, B.

    2013-12-01

    While the absolute magnitude of economic losses associated with weather and climate disasters such as droughts is greatest in the developed world, the relative impact is much larger in the developing world, where agriculture typically constitutes a much larger percentage of the labor force and food insecurity is a major concern. Nonetheless, our ability to monitor and predict the development and occurrence of droughts at a global scale in near real-time is limited and long-term records of soil moisture are essentially non-existent globally The problem is particularly critical given that many of the most damaging droughts occur in parts of the world that are most deficient in terms of in situ precipitation observations. In recent years, a number of near real-time drought monitoring systems have been developed with regional or global extent. While direct observations of key variables such as moisture storage are missing, the evolution of land surface models that are globally applicable provides a means of reconstructing them. The implementation of a multi-model drought monitoring system is described, which provides near real-time estimates of surface moisture storage for the global land areas between 50S and 50N with a time lag of about one day. Near real-time forcings are derived from satellite-based precipitation estimates and modeled air temperatures. The system is distinguished from other operational systems in that it uses multiple land surface models to simulate surface moisture storage, which are then combined to derive a multi-model estimate of drought. Previous work has shown that while land surface models agree in broad context, particularly in terms of soil moisture percentiles, important differences remain, which motivates a multi-model ensemble approach. The system is an extension of similar systems developed by at the University of Washington for the Pacific Northwest and for the United States, but global application of the protocols used in the U

  16. Investigation of a Novel NDE Method for Monitoring Thermomechanical Damage and Microstructure Evolution in Ferritic-Martensitic Steels for Generation IV Nuclear Energy Systems

    SciTech Connect

    Nagy, Peter

    2013-09-30

    The main goal of the proposed project is the development of validated nondestructive evaluation (NDE) techniques for in situ monitoring of ferritic-martensitic steels like Grade 91 9Cr-1Mo, which are candidate materials for Generation IV nuclear energy structural components operating at temperatures up to ~650{degree}C and for steam-generator tubing for sodium-cooled fast reactors. Full assessment of thermomechanical damage requires a clear separation between thermally activated microstructural evolution and creep damage caused by simultaneous mechanical stress. Creep damage can be classified as "negligible" creep without significant plastic strain and "ordinary" creep of the primary, secondary, and tertiary kind that is accompanied by significant plastic deformation and/or cavity nucleation and growth. Under negligible creep conditions of interest in this project, minimal or no plastic strain occurs, and the accumulation of creep damage does not significantly reduce the fatigue life of a structural component so that low-temperature design rules, such as the ASME Section III, Subsection NB, can be applied with confidence. The proposed research project will utilize a multifaceted approach in which the feasibility of electrical conductivity and thermo-electric monitoring methods is researched and coupled with detailed post-thermal/creep exposure characterization of microstructural changes and damage processes using state-of-the-art electron microscopy techniques, with the aim of establishing the most effective nondestructive materials evaluation technique for particular degradation modes in high-temperature alloys that are candidates for use in the Next Generation Nuclear Plant (NGNP) as well as providing the necessary mechanism-based underpinnings for relating the two. Only techniques suitable for practical application in situ will be considered. As the project evolves and results accumulate, we will also study the use of this technique for monitoring other GEN IV

  17. Monitoring multiple myeloma by next-generation sequencing of V(D)J rearrangements from circulating myeloma cells and cell-free myeloma DNA.

    PubMed

    Oberle, Anna; Brandt, Anna; Voigtlaender, Minna; Thiele, Benjamin; Radloff, Janina; Schulenkorf, Anita; Alawi, Malik; Akyüz, Nuray; März, Manuela; Ford, Christopher T; Krohn-Grimberghe, Artus; Binder, Mascha

    2017-02-09

    Recent studies suggest that circulating tumor cells and cell-free DNA may represent powerful non-invasive tools for disease monitoring in patients with solid and hematological malignancies. Here, we conducted a pilot study in 27 myeloma patients to explore the clonotypic V(D)J rearrangement for monitoring of circulating myeloma cells (cmc-V(D)J) and cell-free myeloma DNA (cfm-V(D)J). Next-generation sequencing was used to define the myeloma V(D)J rearrangement and for subsequent peripheral blood tracking after treatment initiation. Positivity for cmc-/cfm-V(D)J was associated with conventional remission status (p<0.001) and 91% of non-responders/progressors versus 41% of responders had evidence of persistent cmc-/cfm-V(D)J (p<0.001). About half of the partial responders showed complete clearance of cmc-/cfm-V(D)J despite persistent M-protein, suggesting that these markers are less inert than the M-protein, rely more on cell turnover and therefore decline more rapidly after initiation of effective treatment. Positivity for cmc- and cfm-V(D)J was associated with each other (p=0.042), but in 30% discordant. This indicated that cfm-V(D)J may not be generated entirely by circulating myeloma cells and may reflect overall tumor burden. Prospective studies need to define the predictive potential of high-sensitivity determination of circulating myeloma cells and DNA in the monitoring of multiple myeloma.

  18. Highly sensitive monitoring of chest wall dynamics and acoustics provides diverse valuable information for evaluating ventilation and diagnosing pneumothorax.

    PubMed

    Pesin, Jimy; Faingersh, Anna; Waisman, Dan; Landesberg, Amir

    2014-06-15

    Current practice of monitoring lung ventilation in neonatal intensive care units, utilizing endotracheal tube pressure and flow, end-tidal CO2, arterial O2 saturation from pulse oximetry, and hemodynamic indexes, fails to account for asymmetric pathologies and to allow for early detection of deteriorating ventilation. This study investigated the utility of bilateral measurements of chest wall dynamics and sounds, in providing early detection of changes in the mechanics and distribution of lung ventilation. Nine healthy New Zealand rabbits were ventilated at a constant pressure, while miniature accelerometers were attached to each side of the chest. Slowly progressing pneumothorax was induced by injecting 1 ml/min air into the pleural space on either side of the chest. The end of the experiment (tPTX) was defined when arterial O2 saturation from pulse oximetry dropped <90% or when vigorous spontaneous breathing began, since it represents the time of clinical detection using common methods. Consistent and significant changes were observed in 15 of the chest dynamics parameters. The most meaningful temporal changes were noted for features extracted from subsonic dynamics (<10 Hz), e.g., tidal amplitude, energy, and autoregressive poles. Features from the high-frequency band (10-200 Hz), e.g., energy and entropy, exhibited smaller but significant changes. At 70% tPTX, identification of asymmetric ventilation was attained for all animals. Side identification of the pneumothorax was achieved at 50% tPTX, within a 95% confidence interval. Diagnosis was, on average, 34.1 ± 18.8 min before tPTX. In conclusion, bilateral monitoring of the chest dynamics and acoustics provide novel information that is sensitive to asymmetric changes in ventilation, enabling early detection and localization of pneumothorax.

  19. Design of an eMonitor system to transport electronic patient care report (ePCR) information in unstable MobileIP wireless environment.

    PubMed

    Giovanni, Mazza G; Shenvi, Rohit; Battles, Marcie; Orthner, Helmuth F

    2008-11-06

    The eMonitor is a component of the ePatient system; a prototype system used by emergency medical services (EMS) personnel in the field to record and transmits electronic patient care report (ePCR) information interactively. The eMonitor component allows each Mobile Data Terminal (MDT) on an unreliable Cisco MobileIP wireless network to securely send and received XML messages used to update patient information to and from the MDT before, during and after the transport of a patient.

  20. Novel infrared optical probes for process monitoring and analysis based on next-generation silver halide fibers.

    PubMed

    Heise, H M; Küpper, L; Butvina, L N

    2003-04-01

    Mid-infrared spectroscopy has proved to be a powerful method for the study of various samples and chemical media as found in different industrial processes. In general, the analysis of such samples takes advantage of the fact that multiple analytes can be quantified simultaneously and rapidly without the need for additional reagents. When compared to near-infrared spectroscopy, for which quartz fiber probes can be successfully applied, the application of previously used mid-infrared fiber materials was restricted due to deficiencies with regard to their optical transmission and mechanical properties. Progress in the quality of infrared transparent silver halide fibers and their extrusion with different cross-sections enabled us to construct several flexible fiber-optic probes of different geometries which are particularly suitable and inert for process monitoring. Transmission and attenuated total reflection measurement techniques have mainly been employed for the analysis of liquid and gaseous media. One larger field, for which results are reported, is chemical reactor monitoring. Other applications are concerned with bio-reactor monitoring, or quasi-continuous measurements for the food industry. Infrared spectroscopic cosmetic assays for determining the chemical composition of skin-care formulations are a further promising field of application, for which an example is given.