Centralized remote structural monitoring and management of real-time data

NASA Astrophysics Data System (ADS)

Han, Liting; Newhook, John P.; Mufti, Aftab A.

2004-07-01

Structural health monitoring (SHM) activities in civil engineering are increasing at a rapid pace in both research and field applications. This paper addresses the specific issue of incorporating internet technology into a structural health monitoring program. The issue of data volume versus communication speed is discussed along with a practical solution employed by ISIS Canada. The approach is illustrated through reference to several current case studies which include two bridges and a statue. It is seen that although the specifics of the projects and monitoring needs are different, the manner in which on-line monitoring can be conducted is very similar and easily allows for centralized monitoring. A general framework for website construction integrating sensing data and web camera options are presented. Issues related to simple real-time performance indices versus more comprehensive complex data analysis are discussed. Examples of on-line websites which allow visualization of new and historic data are presented. The paper also discusses future activities and research needs related to centralized remote structural monitoring and management of real-time data.

Muon g-2 Reconstruction and Analysis Framework for the Muon Anomalous Precession Frequency

DOE Office of Scientific and Technical Information (OSTI.GOV)

Khaw, Kim Siang

The Muon g-2 experiment at Fermilab, with the aim to measure the muon anomalous magnetic moment to an unprecedented level of 140~ppb, has started beam and detector commissioning in Summer 2017. To deal with incoming data projected to be around tens of petabytes, a robust data reconstruction and analysis chain based on Fermilab's \\textit{art} event-processing framework is developed. Herein, I report the current status of the framework, together with its novel features such as multi-threaded algorithms for online data quality monitor (DQM) and fast-turnaround operation (nearline). Performance of the framework during the commissioning run is also discussed.

An Assessment of Integrated Health Management (IHM) Frameworks

DOE Office of Scientific and Technical Information (OSTI.GOV)

N. Lybeck; M. Tawfik; L. Bond

In order to meet the ever increasing demand for energy, the United States nuclear industry is turning to life extension of existing nuclear power plants (NPPs). Economically ensuring the safe, secure, and reliable operation of aging nuclear power plants presents many challenges. The 2009 Light Water Reactor Sustainability Workshop identified online monitoring of active and structural components as essential to the better understanding and management of the challenges posed by aging nuclear power plants. Additionally, there is increasing adoption of condition-based maintenance (CBM) for active components in NPPs. These techniques provide a foundation upon which a variety of advanced onlinemore » surveillance, diagnostic, and prognostic techniques can be deployed to continuously monitor and assess the health of NPP systems and components. The next step in the development of advanced online monitoring is to move beyond CBM to estimating the remaining useful life of active components using prognostic tools. Deployment of prognostic health management (PHM) on the scale of a NPP requires the use of an integrated health management (IHM) framework - a software product (or suite of products) used to manage the necessary elements needed for a complete implementation of online monitoring and prognostics. This paper provides a thoughtful look at the desirable functions and features of IHM architectures. A full PHM system involves several modules, including data acquisition, system modeling, fault detection, fault diagnostics, system prognostics, and advisory generation (operations and maintenance planning). The standards applicable to PHM applications are indentified and summarized. A list of evaluation criteria for PHM software products, developed to ensure scalability of the toolset to an environment with the complexity of a NPP, is presented. Fourteen commercially available PHM software products are identified and classified into four groups: research tools, PHM system development tools, deployable architectures, and peripheral tools.« less

GIS Application System Design Applied to Information Monitoring

NASA Astrophysics Data System (ADS)

Qun, Zhou; Yujin, Yuan; Yuena, Kang

Natural environment information management system involves on-line instrument monitoring, data communications, database establishment, information management software development and so on. Its core lies in collecting effective and reliable environmental information, increasing utilization rate and sharing degree of environment information by advanced information technology, and maximizingly providing timely and scientific foundation for environmental monitoring and management. This thesis adopts C# plug-in application development and uses a set of complete embedded GIS component libraries and tools libraries provided by GIS Engine to finish the core of plug-in GIS application framework, namely, the design and implementation of framework host program and each functional plug-in, as well as the design and implementation of plug-in GIS application framework platform. This thesis adopts the advantages of development technique of dynamic plug-in loading configuration, quickly establishes GIS application by visualized component collaborative modeling and realizes GIS application integration. The developed platform is applicable to any application integration related to GIS application (ESRI platform) and can be as basis development platform of GIS application development.

Feasibility Study on the Use of On-line Multivariate Statistical Process Control for Safeguards Applications in Natural Uranium Conversion Plants

DOE Office of Scientific and Technical Information (OSTI.GOV)

Ladd-Lively, Jennifer L

2014-01-01

The objective of this work was to determine the feasibility of using on-line multivariate statistical process control (MSPC) for safeguards applications in natural uranium conversion plants. Multivariate statistical process control is commonly used throughout industry for the detection of faults. For safeguards applications in uranium conversion plants, faults could include the diversion of intermediate products such as uranium dioxide, uranium tetrafluoride, and uranium hexafluoride. This study was limited to a 100 metric ton of uranium (MTU) per year natural uranium conversion plant (NUCP) using the wet solvent extraction method for the purification of uranium ore concentrate. A key component inmore » the multivariate statistical methodology is the Principal Component Analysis (PCA) approach for the analysis of data, development of the base case model, and evaluation of future operations. The PCA approach was implemented through the use of singular value decomposition of the data matrix where the data matrix represents normal operation of the plant. Component mole balances were used to model each of the process units in the NUCP. However, this approach could be applied to any data set. The monitoring framework developed in this research could be used to determine whether or not a diversion of material has occurred at an NUCP as part of an International Atomic Energy Agency (IAEA) safeguards system. This approach can be used to identify the key monitoring locations, as well as locations where monitoring is unimportant. Detection limits at the key monitoring locations can also be established using this technique. Several faulty scenarios were developed to test the monitoring framework after the base case or normal operating conditions of the PCA model were established. In all of the scenarios, the monitoring framework was able to detect the fault. Overall this study was successful at meeting the stated objective.« less

Diagnostic Efficiency of easyCBM[R] Math: Oregon. Technical Report #1009

ERIC Educational Resources Information Center

Anderson, Daniel; Alonzo, Julie; Tindal, Gerald

2010-01-01

The easyCBM[R] assessment system is an online benchmark and progress monitoring assessment system designed for use within a response to intervention framework. Educators using easyCBM[R] are often interested in using the results to predict students' state test performance. In the following technical document, we report diagnostic efficiency…

Developments and applications of DAQ framework DABC v2

NASA Astrophysics Data System (ADS)

Adamczewski-Musch, J.; Kurz, N.; Linev, S.

2015-12-01

The Data Acquisition Backbone Core (DABC) is a software framework for distributed data acquisition. In 2013 Version 2 of DABC has been released with several improvements. For monitoring and control, an HTTP web server and a proprietary command channel socket have been provided. Web browser GUIs have been implemented for configuration and control of DABC and MBS DAQ nodes via such HTTP server. Several specific plug-ins, for example interfacing PEXOR/KINPEX optical readout PCIe boards, or HADES trbnet input and hld file output, have been further developed. In 2014, DABC v2 was applied for production data taking of the HADES collaboration's pion beam time at GSI. It fully replaced the functionality of the previous event builder software and added new features concerning online monitoring.

Characterizing User Groups in Online Social Networks

NASA Astrophysics Data System (ADS)

Gyarmati, László; Trinh, Tuan Anh

The users’ role is crucial in the development, deployment and the success of online social networks (OSNs). Despite this fact, little is known and even less has been published about user activities in the operating OSNs. In this paper, we present a large scale measurement analysis of user behaviour, in terms of time spent online, in some popular OSNs, namely Bebo, Flixster, MySpace, and Skyrock, and characterise user groups in OSNs. We used more than 200 PlanetLab [1] nodes for our measurement, monitored more than 3000 users for three weeks by downloading repeatedly their profile pages; more than 100 million pages were processed in total. The main findings of the paper are the following. Firstly, we create a measurement framework in order to observe user activity. Secondly, we present cumulative usage statistics of the different OSNs. Thirdly, we classify the monitored users into different groups and characterise the common properties of the members. Finally, we illustrate the wide applicability of our datasets by predicting the sign out method of the OSN users.

OAEditor--A Framework for Editing Adaptive Learning Objects

ERIC Educational Resources Information Center

Pereira, Joao Carlos Rodrigues; Cabral, Lucidio dos Anjos Formiga; Oiveira, Ronei dos Santos; Bezerra, Lucimar Leandro; de Melo, Nisston Moraes Tavares

2012-01-01

Distance Learning supported by the WEB is a reality which is growing fast and, like any technological or empirical innovation, it reveals positive and negative aspects. An important aspect is in relation to the monitoring of the activities done by the students since an accurate online assessment of the knowledge acquired is an open and, therefore,…

Diagnostic Efficiency of easyCBM[R] Math: Washington State. Technical Report #1008

ERIC Educational Resources Information Center

Anderson, Daniel; Alonzo, Julie; Tindal, Gerald

2010-01-01

easyCBM[R] is an online benchmark and progress monitoring assessment system designed for use within a response to intervention framework. Educators using easyCBM[R] are often interested in using the results to predict students' state test performance. In the following technical document, we report diagnostic efficiency statistics using a sample…

Using the "Indicators of Engaged Learning Online" Framework to Evaluate Online Course Quality

ERIC Educational Resources Information Center

Bigatel, Paula M.; Edel-Malizia, Stephanie

2018-01-01

This article is a case study of the use of the "Indicators of Engaged Learning Online" (IELO) framework (See Appendix 1) as a guide to evaluate the quality of online courses. The framework lends itself well to measures of engagement, particularly, in terms of online course design because of its comprehensiveness. Six online courses were…

easyCBM[R] Mathematics Criterion Related Validity Evidence: Oregon State Test. Technical Report #1011

ERIC Educational Resources Information Center

Anderson, Daniel; Alonzo, Julie; Tindal, Gerald

2010-01-01

In this technical report, we present the results of a study examining the relation between the math measures available on the easyCBM[R] online benchmark and progress monitoring assessment system and the Oregon statewide assessment of mathematics. Designed for use within a response to intervention (RTI) framework, easyCBM[R] is intended to help…

An overview of the Families Improving Together (FIT) for weight loss randomized controlled trial in African American families.

PubMed

Wilson, Dawn K; Kitzman-Ulrich, Heather; Resnicow, Ken; Van Horn, M Lee; St George, Sara M; Siceloff, E Rebekah; Alia, Kassandra A; McDaniel, Tyler; Heatley, VaShawn; Huffman, Lauren; Coulon, Sandra; Prinz, Ron

2015-05-01

The Families Improving Together (FIT) randomized controlled trial tests the efficacy of integrating cultural tailoring, positive parenting, and motivational strategies into a comprehensive curriculum for weight loss in African American adolescents. The overall goal of the FIT trial is to test the effects of an integrated intervention curriculum and the added effects of a tailored web-based intervention on reducing z-BMI in overweight African American adolescents. The FIT trial is a randomized group cohort design the will involve 520 African American families with an overweight adolescent between the ages of 11-16 years. The trial tests the efficacy of an 8-week face-to-face group randomized program comparing M + FWL (Motivational Plus Family Weight Loss) to a comprehensive health education program (CHE) and re-randomizes participants to either an 8-week on-line tailored intervention or control on-line program resulting in a 2 (M + FWL vs. CHE group) × 2 (on-line intervention vs. control on-line program) factorial design to test the effects of the intervention on reducing z-BMI at post-treatment and at 6-month follow-up. The interventions for this trial are based on a theoretical framework that is novel and integrates elements from cultural tailoring, Family Systems Theory, Self-Determination Theory and Social Cognitive Theory. The intervention targets positive parenting skills (parenting style, monitoring, communication); cultural values; teaching parents to increase youth motivation by encouraging youth to have input and choice (autonomy-support); and provides a framework for building skills and self-efficacy through developing weight loss action plans that target goal setting, monitoring, and positive feedback. Copyright © 2015. Published by Elsevier Inc.

An Online Social Constructivist Course: Toward a Framework for Usability Evaluations

ERIC Educational Resources Information Center

Phillips, Alana S.; Sheffield, Anneliese; Moore, Michelle; Robinson, Heather A.

2016-01-01

There is a need for a holistic usability evaluation framework that accommodates social constructivist online courses. Social knowledge construction may not be adequately evaluated using current frameworks. This qualitative research study examined the usability needs of a social constructivist online course. Data from an online course were analyzed…

The Use of Online Technology to Facilitate Pre-Service Teachers' Engagement and Cultural Competency Development during an International Field Placement: Reflections from Austria

ERIC Educational Resources Information Center

Boury, Tiffany T.; Hineman, John M.; Klentzin, Jacqueline Courtney; Semich, George W.

2013-01-01

Student teaching abroad is becoming increasingly popular in many colleges and universities in the United States. This experience can be highly rewarding in terms of developing pre-service teachers' culture competency, yet can pose challenges for faculty monitoring such placements. Stewart and Kagan (2005) suggest a framework for teacher…

A Demonstration of Concrete Structural Health Monitoring Framework for Degradation due to Alkali-Silica Reaction

DOE Office of Scientific and Technical Information (OSTI.GOV)

Mahadevan, Sankaran; Agarwal, Vivek; Neal, Kyle

Assessment and management of aging concrete structures in nuclear power plants require a more systematic approach than simple reliance on existing code margins of safety. Structural health monitoring of concrete structures aims to understand the current health condition of a structure based on heterogeneous measurements to produce high-confidence actionable information regarding structural integrity that supports operational and maintenance decisions. This ongoing research project is seeking to develop a probabilistic framework for health diagnosis and prognosis of aging concrete structures in a nuclear power plant that is subjected to physical, chemical, environment, and mechanical degradation. The proposed framework consists of fourmore » elements: monitoring, data analytics, uncertainty quantification and prognosis. This report focuses on degradation caused by ASR (alkali-silica reaction). Controlled specimens were prepared to develop accelerated ASR degradation. Different monitoring techniques – thermography, digital image correlation (DIC), mechanical deformation measurements, nonlinear impact resonance acoustic spectroscopy (NIRAS), and vibro-acoustic modulation (VAM) -- were used to detect the damage caused by ASR. Heterogeneous data from the multiple techniques was used for damage diagnosis and prognosis, and quantification of the associated uncertainty using a Bayesian network approach. Additionally, MapReduce technique has been demonstrated with synthetic data. This technique can be used in future to handle large amounts of observation data obtained from the online monitoring of realistic structures.« less

Online Monitoring of Concrete Structures in Nuclear Power Plants: Interim Report

DOE Office of Scientific and Technical Information (OSTI.GOV)

Mahadevan, Sankaran; Cai, Guowei; Agarwal, Vivek

The existing fleet of nuclear power plants in the United States have initial operating licenses of 40 years, and many of these plants have applied for and received license extensions. As plant structures, systems, and components age, their useful life—considering both structural integrity and performance—is reduced as a result of deterioration of the materials. Assessment and management of aging concrete structures in nuclear plants require a more systematic approach than simple reliance on existing code-based design margins of safety. Structural health monitoring is required to produce actionable information regarding structural integrity that supports operational and maintenance decisions. The online monitoringmore » of concrete structures project conducted under the Advanced Instrumentation, Information, and Control Technologies Pathway of the Light Water Reactor Sustainability program at Idaho National Laboratory is seeking to develop and demonstrate capabilities for concrete structures health monitoring. Through this research project, several national laboratories and Vanderbilt University propose to develop a framework of research activities for the health monitoring of nuclear power plant concrete structures that includes the integration of four elements—damage modeling, monitoring, data analytics, and uncertainty quantification. This report briefly discusses activities in this project during October-December, 2014. The most significant activity during this period was the organizing of a two-day workshop on research needs in online monitoring of concrete structures, hosted by Vanderbilt University in November 2014. Thirty invitees from academia, industry and government participated in the workshop. The presentations and discussions at the workshop surveyed current activities related to concrete structures deterioration modeling and monitoring, and identified the challenges, knowledge gaps, and opportunities for advancing the state of the art; these discussions are summarized in this report« less

Data acquisition, remote control and equipment monitoring for ISOLDE RILIS

NASA Astrophysics Data System (ADS)

Rossel, R. E.; Fedosseev, V. N.; Marsh, B. A.; Richter, D.; Rothe, S.; Wendt, K. D. A.

2013-12-01

With a steadily increasing on-line operation time up to a record 3000 h in the year 2012, the Resonance Ionization Laser Ion Source (RILIS) is one of the key components of the ISOLDE on-line isotope user facility at CERN. Ion beam production using the RILIS is essential for many experiments due to the unmatched combination of ionization efficiency and selectivity. To meet the reliability requirements the RILIS is currently operated in shift duty for continuous maintenance of crucial laser parameters such as wavelength, power, beam position and timing, as well as ensuring swift intervention in case of an equipment malfunction. A recent overhaul of the RILIS included the installation of new pump lasers, commercial dye lasers and a complementary, fully solid-state titanium:sapphire laser system. The framework of the upgrade also required the setup of a network-extended, LabVIEW-based system for data acquisition, remote control and equipment monitoring, to support RILIS operators as well as ISOLDE users. The system contributes to four key aspects of RILIS operation: equipment monitoring, machine protection, automated self-reliance, and collaborative data acquisition. The overall concept, technologies used, implementation status and recent applications during the 2012 on-line operation period will be presented along with a summary of future developments.

Using a participatory evaluation design to create an online data collection and monitoring system for New Mexico's Community Health Councils.

PubMed

Andrews, M L; Sánchez, V; Carrillo, C; Allen-Ananins, B; Cruz, Y B

2014-02-01

We present the collaborative development of a web-based data collection and monitoring plan for thirty-two county councils within New Mexico's health council system. The monitoring plan, a key component in our multiyear participatory statewide evaluation process, was co-developed with the end users: representatives of the health councils. Guided by the Institute of Medicine's Community, Health Improvement Process framework, we first developed a logic model that delineated processes and intermediate systems-level outcomes in council development, planning, and community action. Through the online system, health councils reported data on intermediate outcomes, including policy changes and funds leveraged. The system captured data that were common across the health council system, yet was also flexible so that councils could report their unique accomplishments at the county level. A main benefit of the online system was that it provided the ability to assess intermediate, outcomes across the health council system. Developing the system was not without challenges, including creating processes to ensure participation across a large rural state; creating shared understanding of intermediate outcomes and indicators; and overcoming technological issues. Even through the challenges, however, the benefits of committing to using participatory processes far outweighed the challenges. Copyright © 2013 Elsevier Ltd. All rights reserved.

An Instructional Strategy Framework for Online Learning Environments

ERIC Educational Resources Information Center

Johnson, Scott D.; Aragon, Steven R.

2003-01-01

The rapid growth of Web-based instruction has raised many questions about the quality of online courses. This chapter presents a conceptual framework that can guide the development of online courses by providing a holistic perspective on online teaching and learning. Although this framework is based on well-recognized theories of learning and…

The Adolescent Community of Engagement: A Framework for Research on Adolescent Online Learning

ERIC Educational Resources Information Center

Borup, Jered; West, Richard E.; Graham, Charles R.; Davies, Randall S.

2014-01-01

This paper describes the Adolescent Community of Engagement (ACE) framework as a lens to guide research and design in adolescent online learning environments. Several online learning frameworks have emerged from higher education contexts, but these frameworks do not explicitly address the unique student and environmental characteristics of the…

On-line monitoring system of PV array based on internet of things technology

NASA Astrophysics Data System (ADS)

Li, Y. F.; Lin, P. J.; Zhou, H. F.; Chen, Z. C.; Wu, L. J.; Cheng, S. Y.; Su, F. P.

2017-11-01

The Internet of Things (IoT) Technology is used to inspect photovoltaic (PV) array which can greatly improve the monitoring, performance and maintenance of the PV array. In order to efficiently realize the remote monitoring of PV operating environment, an on-line monitoring system of PV array based on IoT is designed in this paper. The system includes data acquisition, data gateway and PV monitoring centre (PVMC) website. Firstly, the DSP-TMS320F28335 is applied to collect indicators of PV array using sensors, then the data are transmitted to data gateway through ZigBee network. Secondly, the data gateway receives the data from data acquisition part, obtains geographic information via GPS module, and captures the scenes around PV array via USB camera, then uploads them to PVMC website. Finally, the PVMC website based on Laravel framework receives all data from data gateway and displays them with abundant charts. Moreover, a fault diagnosis approach for PV array based on Extreme Learning Machine (ELM) is applied in PVMC. Once fault occurs, a user alert can be sent via E-mail. The designed system enables users to browse the operating conditions of PV array on PVMC website, including electrical, environmental parameters and video. Experimental results show that the presented monitoring system can efficiently real-time monitor the PV array, and the fault diagnosis approach reaches a high accuracy of 97.5%.

The application of data mining and cloud computing techniques in data-driven models for structural health monitoring

NASA Astrophysics Data System (ADS)

Khazaeli, S.; Ravandi, A. G.; Banerji, S.; Bagchi, A.

2016-04-01

Recently, data-driven models for Structural Health Monitoring (SHM) have been of great interest among many researchers. In data-driven models, the sensed data are processed to determine the structural performance and evaluate the damages of an instrumented structure without necessitating the mathematical modeling of the structure. A framework of data-driven models for online assessment of the condition of a structure has been developed here. The developed framework is intended for automated evaluation of the monitoring data and structural performance by the Internet technology and resources. The main challenges in developing such framework include: (a) utilizing the sensor measurements to estimate and localize the induced damage in a structure by means of signal processing and data mining techniques, and (b) optimizing the computing and storage resources with the aid of cloud services. The main focus in this paper is to demonstrate the efficiency of the proposed framework for real-time damage detection of a multi-story shear-building structure in two damage scenarios (change in mass and stiffness) in various locations. Several features are extracted from the sensed data by signal processing techniques and statistical methods. Machine learning algorithms are deployed to select damage-sensitive features as well as classifying the data to trace the anomaly in the response of the structure. Here, the cloud computing resources from Amazon Web Services (AWS) have been used to implement the proposed framework.

Improving online risk assessment with equipment prognostics and health monitoring

DOE Office of Scientific and Technical Information (OSTI.GOV)

Coble, Jamie B.; Liu, Xiaotong; Briere, Chris

The current approach to evaluating the risk of nuclear power plant (NPP) operation relies on static probabilities of component failure, which are based on industry experience with the existing fleet of nominally similar light water reactors (LWRs). As the nuclear industry looks to advanced reactor designs that feature non-light water coolants (e.g., liquid metal, high temperature gas, molten salt), this operating history is not available. Many advanced reactor designs use advanced components, such as electromagnetic pumps, that have not been used in the US commercial nuclear fleet. Given the lack of rich operating experience, we cannot accurately estimate the evolvingmore » probability of failure for basic components to populate the fault trees and event trees that typically comprise probabilistic risk assessment (PRA) models. Online equipment prognostics and health management (PHM) technologies can bridge this gap to estimate the failure probabilities for components under operation. The enhanced risk monitor (ERM) incorporates equipment condition assessment into the existing PRA and risk monitor framework to provide accurate and timely estimates of operational risk.« less

Monitoring alert and drowsy states by modeling EEG source nonstationarity

NASA Astrophysics Data System (ADS)

Hsu, Sheng-Hsiou; Jung, Tzyy-Ping

2017-10-01

Objective. As a human brain performs various cognitive functions within ever-changing environments, states of the brain characterized by recorded brain activities such as electroencephalogram (EEG) are inevitably nonstationary. The challenges of analyzing the nonstationary EEG signals include finding neurocognitive sources that underlie different brain states and using EEG data to quantitatively assess the state changes. Approach. This study hypothesizes that brain activities under different states, e.g. levels of alertness, can be modeled as distinct compositions of statistically independent sources using independent component analysis (ICA). This study presents a framework to quantitatively assess the EEG source nonstationarity and estimate levels of alertness. The framework was tested against EEG data collected from 10 subjects performing a sustained-attention task in a driving simulator. Main results. Empirical results illustrate that EEG signals under alert versus drowsy states, indexed by reaction speeds to driving challenges, can be characterized by distinct ICA models. By quantifying the goodness-of-fit of each ICA model to the EEG data using the model deviation index (MDI), we found that MDIs were significantly correlated with the reaction speeds (r  =  -0.390 with alertness models and r  =  0.449 with drowsiness models) and the opposite correlations indicated that the two models accounted for sources in the alert and drowsy states, respectively. Based on the observed source nonstationarity, this study also proposes an online framework using a subject-specific ICA model trained with an initial (alert) state to track the level of alertness. For classification of alert against drowsy states, the proposed online framework achieved an averaged area-under-curve of 0.745 and compared favorably with a classic power-based approach. Significance. This ICA-based framework provides a new way to study changes of brain states and can be applied to monitoring cognitive or mental states of human operators in attention-critical settings or in passive brain-computer interfaces.

A Design Framework for Online Teacher Professional Development Communities

ERIC Educational Resources Information Center

Liu, Katrina Yan

2012-01-01

This paper provides a design framework for building online teacher professional development communities for preservice and inservice teachers. The framework is based on a comprehensive literature review on the latest technology and epistemology of online community and teacher professional development, comprising four major design factors and three…

The Predictive Relationship among the Community of Inquiry Framework, Perceived Learning and Online, and Graduate Students' Course Grades in Online Synchronous and Asynchronous Courses

ERIC Educational Resources Information Center

Rockinson-Szapkiw, Amanda J.; Wendt, Jillian; Wighting, Mervyn; Nisbet, Deanna

2016-01-01

The Community of Inquiry framework has been widely supported by research to provide a model of online learning that informs the design and implementation of distance learning courses. However, the relationship between elements of the CoI framework and perceived learning warrants further examination as a predictive model for online graduate student…

Online data monitoring in the LHCb experiment

NASA Astrophysics Data System (ADS)

Callot, O.; Cherukuwada, S.; Frank, M.; Gaspar, C.; Graziani, G.; Herwijnen, E. v.; Jost, B.; Neufeld, N.; P-Altarelli, M.; Somogyi, P.; Stoica, R.

2008-07-01

The High Level Trigger and Data Acquisition system selects about 2 kHz of events out of the 40 MHz of beam crossings. The selected events are sent to permanent storage for subsequent analysis. In order to ensure the quality of the collected data, identify possible malfunctions of the detector and perform calibration and alignment checks, a small fraction of the accepted events is sent to a monitoring farm, which consists of a few tens of general purpose processors. This contribution introduces the architecture of the data stream splitting mechanism from the storage system to the monitoring farm, where the raw data are analyzed by dedicated tasks. It describes the collaborating software components that are all based on the Gaudi event processing framework.

Designing for Online Collaborations and Local Environmental Action In Citizen Science: A Multiple Case Study

NASA Astrophysics Data System (ADS)

Kermish-Allen, Ruth

Traditional citizen science projects have been based on the scientific communities need to gather vast quantities of high quality data, neglecting to ask what the project participants get in return. How can participants be seen more as collaborative partners in citizen science projects? Online communities for citizen science are expanding rapidly, giving participants the opportunity to take part in a wide range of activities, from monitoring invasive species to identifying far-off galaxies. These communities can bring together the virtual and physical worlds in new ways that are egalitarian, collaborative, applied, localized and globalized to solve real environmental problems. There are a small number of citizen science projects that leverage the affordances of an online community to connect, engage, and empower participants to make local change happen. This multiple case study applies a conceptual framework rooted in sociocultural learning theory, Non-Hierarchical Online Learning Communities (NHOLCs), to three online citizen communities that have successfully fostered online collaboration and on-the-ground environmental actions. The purpose of the study is to identify the range and variation of the online and programmatic functions available in each project. The findings lead to recommendations for designing these innovative communities, specifically the technological and programmatic components of online citizen science communities that support environmental actions in our backyards.

Performance-based financing as a health system reform: mapping the key dimensions for monitoring and evaluation.

PubMed

Witter, Sophie; Toonen, Jurrien; Meessen, Bruno; Kagubare, Jean; Fritsche, György; Vaughan, Kelsey

2013-09-29

Performance-based financing is increasingly being applied in a variety of contexts, with the expectation that it can improve the performance of health systems. However, while there is a growing literature on implementation issues and effects on outputs, there has been relatively little focus on interactions between PBF and health systems and how these should be studied. This paper aims to contribute to filling that gap by developing a framework for assessing the interactions between PBF and health systems, focusing on low and middle income countries. In doing so, it elaborates a general framework for monitoring and evaluating health system reforms in general. This paper is based on an exploratory literature review and on the work of a group of academics and PBF practitioners. The group developed ideas for the monitoring and evaluation framework through exchange of emails and working documents. Ideas were further refined through discussion at the Health Systems Research symposium in Beijing in October 2012, through comments from members of the online PBF Community of Practice and Beijing participants, and through discussion with PBF experts in Bergen in June 2013. The paper starts with a discussion of definitions, to clarify the core concept of PBF and how the different terms are used. It then develops a framework for monitoring its interactions with the health system, structured around five domains of context, the development process, design, implementation and effects. Some of the key questions for monitoring and evaluation are highlighted, and a systematic approach to monitoring effects proposed, structured according to the health system pillars, but also according to inputs, processes and outputs. The paper lays out a broad framework within which indicators can be prioritised for monitoring and evaluation of PBF or other health system reforms. It highlights the dynamic linkages between the domains and the different pillars. All of these are also framed within inter-sectoral and wider societal contexts. It highlights the importance of differentiating short term and long term effects, and also effects (intended and unintended) at different levels of the health system, and for different sectors and areas of the country. Outstanding work will include using and refining the framework and agreeing on the most important hypotheses to test using it, in relation to PBF but also other purchasing and provider payment reforms, as well as appropriate research methods to use for this task.

A Cognitive Framework for the Analysis of Online Chemistry Courses

ERIC Educational Resources Information Center

Evans, Karen L.; Leinhardt, Gaea

2008-01-01

Many students now are receiving instruction in online environments created by universities, museums, corporations, and even students. What features of a given online course contribute to its effectiveness? This paper addresses that query by proposing and applying an analytic framework to five online introductory chemistry courses. Introductory…

Development and Application of a Systems Engineering Framework to Support Online Course Design and Delivery

ERIC Educational Resources Information Center

Bozkurt, Ipek; Helm, James

2013-01-01

This paper develops a systems engineering-based framework to assist in the design of an online engineering course. Specifically, the purpose of the framework is to provide a structured methodology for the design, development and delivery of a fully online course, either brand new or modified from an existing face-to-face course. The main strength…

Analyzing Educators' Online Interactions: A Framework of Online Learning Support Roles

ERIC Educational Resources Information Center

Nacu, Denise C.; Martin, Caitlin K.; Pinkard, Nichole; Gray, Tené

2016-01-01

While the potential benefits of participating in online learning communities are documented, so too are inequities in terms of how different populations access and use them. We present the online learning support roles (OLSR) framework, an approach using both automated analytics and qualitative interpretation to identify and explore online…

Theories and Frameworks for Online Education: Seeking an Integrated Model

ERIC Educational Resources Information Center

Picciano, Anthony G.

2017-01-01

This article examines theoretical frameworks and models that focus on the pedagogical aspects of online education. After a review of learning theory as applied to online education, a proposal for an integrated "Multimodal Model for Online Education" is provided based on pedagogical purpose. The model attempts to integrate the work of…

Design of smart sensing components for volcano monitoring

USGS Publications Warehouse

Xu, M.; Song, W.-Z.; Huang, R.; Peng, Y.; Shirazi, B.; LaHusen, R.; Kiely, A.; Peterson, N.; Ma, A.; Anusuya-Rangappa, L.; Miceli, M.; McBride, D.

2009-01-01

In a volcano monitoring application, various geophysical and geochemical sensors generate continuous high-fidelity data, and there is a compelling need for real-time raw data for volcano eruption prediction research. It requires the network to support network synchronized sampling, online configurable sensing and situation awareness, which pose significant challenges on sensing component design. Ideally, the resource usages shall be driven by the environment and node situations, and the data quality is optimized under resource constraints. In this paper, we present our smart sensing component design, including hybrid time synchronization, configurable sensing, and situation awareness. Both design details and evaluation results are presented to show their efficiency. Although the presented design is for a volcano monitoring application, its design philosophy and framework can also apply to other similar applications and platforms. ?? 2009 Elsevier B.V.

The eClinical Care Pathway Framework: a novel structure for creation of online complex clinical care pathways and its application in the management of sexually transmitted infections.

PubMed

Gibbs, Jo; Sutcliffe, Lorna J; Gkatzidou, Voula; Hone, Kate; Ashcroft, Richard E; Harding-Esch, Emma M; Lowndes, Catherine M; Sadiq, S Tariq; Sonnenberg, Pam; Estcourt, Claudia S

2016-07-22

Despite considerable international eHealth impetus, there is no guidance on the development of online clinical care pathways. Advances in diagnostics now enable self-testing with home diagnosis, to which comprehensive online clinical care could be linked, facilitating completely self-directed, remote care. We describe a new framework for developing complex online clinical care pathways and its application to clinical management of people with genital chlamydia infection, the commonest sexually transmitted infection (STI) in England. Using the existing evidence-base, guidelines and examples from contemporary clinical practice, we developed the eClinical Care Pathway Framework, a nine-step iterative process. Step 1: define the aims of the online pathway; Step 2: define the functional units; Step 3: draft the clinical consultation; Step 4: expert review; Step 5: cognitive testing; Step 6: user-centred interface testing; Step 7: specification development; Step 8: software testing, usability testing and further comprehension testing; Step 9: piloting. We then applied the Framework to create a chlamydia online clinical care pathway (Online Chlamydia Pathway). Use of the Framework elucidated content and structure of the care pathway and identified the need for significant changes in sequences of care (Traditional: history, diagnosis, information versus Online: diagnosis, information, history) and prescribing safety assessment. The Framework met the needs of complex STI management and enabled development of a multi-faceted, fully-automated consultation. The Framework provides a comprehensive structure on which complex online care pathways such as those needed for STI management, which involve clinical services, public health surveillance functions and third party (sexual partner) management, can be developed to meet national clinical and public health standards. The Online Chlamydia Pathway's standardised method of collecting data on demographics and sexual behaviour, with potential for interoperability with surveillance systems, could be a powerful tool for public health and clinical management.

artdaq: DAQ software development made simple

NASA Astrophysics Data System (ADS)

Biery, Kurt; Flumerfelt, Eric; Freeman, John; Ketchum, Wesley; Lukhanin, Gennadiy; Rechenmacher, Ron

2017-10-01

For a few years now, the artdaq data acquisition software toolkit has provided numerous experiments with ready-to-use components which allow for rapid development and deployment of DAQ systems. Developed within the Fermilab Scientific Computing Division, artdaq provides data transfer, event building, run control, and event analysis functionality. This latter feature includes built-in support for the art event analysis framework, allowing experiments to run art modules for real-time filtering, compression, disk writing and online monitoring. As art, also developed at Fermilab, is also used for offline analysis, a major advantage of artdaq is that it allows developers to easily switch between developing online and offline software. artdaq continues to be improved. Support for an alternate mode of running whereby data from some subdetector components are only streamed if requested has been added; this option will reduce unnecessary DAQ throughput. Real-time reporting of DAQ metrics has been implemented, along with the flexibility to choose the format through which experiments receive the reports; these formats include the Ganglia, Graphite and syslog software packages, along with flat ASCII files. Additionally, work has been performed investigating more flexible modes of online monitoring, including the capability to run multiple online monitoring processes on different hosts, each running its own set of art modules. Finally, a web-based GUI interface through which users can configure details of their DAQ system has been implemented, increasing the ease of use of the system. Already successfully deployed on the LArlAT, DarkSide-50, DUNE 35ton and Mu2e experiments, artdaq will be employed for SBND and is a strong candidate for use on ICARUS and protoDUNE. With each experiment comes new ideas for how artdaq can be made more flexible and powerful. The above improvements will be described, along with potential ideas for the future.

21 CFR 870.4330 - Cardiopulmonary bypass on-line blood gas monitor.

Code of Federal Regulations, 2013 CFR

2013-04-01

... 21 Food and Drugs 8 2013-04-01 2013-04-01 false Cardiopulmonary bypass on-line blood gas monitor... Cardiopulmonary bypass on-line blood gas monitor. (a) Identification. A cardiopulmonary bypass on-line blood gas monitor is a device used in conjunction with a blood gas sensor to measure the level of gases in the blood...

21 CFR 870.4330 - Cardiopulmonary bypass on-line blood gas monitor.

Code of Federal Regulations, 2014 CFR

2014-04-01

... 21 Food and Drugs 8 2014-04-01 2014-04-01 false Cardiopulmonary bypass on-line blood gas monitor... Cardiopulmonary bypass on-line blood gas monitor. (a) Identification. A cardiopulmonary bypass on-line blood gas monitor is a device used in conjunction with a blood gas sensor to measure the level of gases in the blood...

21 CFR 870.4330 - Cardiopulmonary bypass on-line blood gas monitor.

Code of Federal Regulations, 2012 CFR

2012-04-01

... 21 Food and Drugs 8 2012-04-01 2012-04-01 false Cardiopulmonary bypass on-line blood gas monitor... Cardiopulmonary bypass on-line blood gas monitor. (a) Identification. A cardiopulmonary bypass on-line blood gas monitor is a device used in conjunction with a blood gas sensor to measure the level of gases in the blood...

21 CFR 870.4330 - Cardiopulmonary bypass on-line blood gas monitor.

Code of Federal Regulations, 2011 CFR

2011-04-01

... Cardiopulmonary bypass on-line blood gas monitor. (a) Identification. A cardiopulmonary bypass on-line blood gas monitor is a device used in conjunction with a blood gas sensor to measure the level of gases in the blood... 21 Food and Drugs 8 2011-04-01 2011-04-01 false Cardiopulmonary bypass on-line blood gas monitor...

21 CFR 870.4330 - Cardiopulmonary bypass on-line blood gas monitor.

Code of Federal Regulations, 2010 CFR

2010-04-01

... Cardiopulmonary bypass on-line blood gas monitor. (a) Identification. A cardiopulmonary bypass on-line blood gas monitor is a device used in conjunction with a blood gas sensor to measure the level of gases in the blood... 21 Food and Drugs 8 2010-04-01 2010-04-01 false Cardiopulmonary bypass on-line blood gas monitor...

Preparing Language Teachers to Teach Language Online: A Look at Skills, Roles, and Responsibilities

ERIC Educational Resources Information Center

Compton, Lily K. L.

2009-01-01

This paper reviews and critiques an existing skills framework for online language teaching. This critique is followed by an alternative framework for online language teaching skills. This paper also uses a systems view to look at the roles and responsibilities of various stakeholders in an online learning system. Four major recommendations are…

On design of sensor nodes in the rice planthopper monitoring system based on the internet of things

NASA Astrophysics Data System (ADS)

Wang, Ke Qiang; Cai, Ken

2011-02-01

Accurate records and prediction of the number of the rice planthopper's outbreaks and the environmental information of farmland are effective measures to control pests' damages. On the other hand, a new round of technological revolution from the Internet to the Internet of things is taking place in the field of information. The application of the Internet of things in rice planthopper and environmental online monitoring is an effective measure to solve problems existing in the present wired sensor monitoring technology. Having described the general framework of wireless sensor nodes in the Internet of things in this paper, the software and hardware design schemes of wireless sensor nodes are proposed, combining the needs of rice planthopper and environmental monitoring. In these schemes, each module's design and key components' selection are both aiming to the characteristics of the Internet of things, so it has a strong practical value.

A Wireless Sensor Network-Based Approach with Decision Support for Monitoring Lake Water Quality.

PubMed

Huang, Xiaoci; Yi, Jianjun; Chen, Shaoli; Zhu, Xiaomin

2015-11-19

Online monitoring and water quality analysis of lakes are urgently needed. A feasible and effective approach is to use a Wireless Sensor Network (WSN). Lake water environments, like other real world environments, present many changing and unpredictable situations. To ensure flexibility in such an environment, the WSN node has to be prepared to deal with varying situations. This paper presents a WSN self-configuration approach for lake water quality monitoring. The approach is based on the integration of a semantic framework, where a reasoner can make decisions on the configuration of WSN services. We present a WSN ontology and the relevant water quality monitoring context information, which considers its suitability in a pervasive computing environment. We also propose a rule-based reasoning engine that is used to conduct decision support through reasoning techniques and context-awareness. To evaluate the approach, we conduct usability experiments and performance benchmarks.

Online anomaly detection in wireless body area networks for reliable healthcare monitoring.

PubMed

Salem, Osman; Liu, Yaning; Mehaoua, Ahmed; Boutaba, Raouf

2014-09-01

In this paper, we propose a lightweight approach for online detection of faulty measurements by analyzing the data collected from medical wireless body area networks. The proposed framework performs sequential data analysis using a smart phone as a base station, and takes into account the constrained resources of the smart phone, such as processing power and storage capacity. The main objective is to raise alarms only when patients enter in an emergency situation, and to discard false alarms triggered by faulty measurements or ill-behaved sensors. The proposed approach is based on the Haar wavelet decomposition, nonseasonal Holt-Winters forecasting, and the Hampel filter for spatial analysis, and on for temporal analysis. Our objective is to reduce false alarms resulting from unreliable measurements and to reduce unnecessary healthcare intervention. We apply our proposed approach on real physiological dataset. Our experimental results prove the effectiveness of our approach in achieving good detection accuracy with a low false alarm rate. The simplicity and the processing speed of our proposed framework make it useful and efficient for real time diagnosis.

Runtime verification of embedded real-time systems.

PubMed

Reinbacher, Thomas; Függer, Matthias; Brauer, Jörg

We present a runtime verification framework that allows on-line monitoring of past-time Metric Temporal Logic (ptMTL) specifications in a discrete time setting. We design observer algorithms for the time-bounded modalities of ptMTL, which take advantage of the highly parallel nature of hardware designs. The algorithms can be translated into efficient hardware blocks, which are designed for reconfigurability, thus, facilitate applications of the framework in both a prototyping and a post-deployment phase of embedded real-time systems. We provide formal correctness proofs for all presented observer algorithms and analyze their time and space complexity. For example, for the most general operator considered, the time-bounded Since operator, we obtain a time complexity that is doubly logarithmic both in the point in time the operator is executed and the operator's time bounds. This result is promising with respect to a self-contained, non-interfering monitoring approach that evaluates real-time specifications in parallel to the system-under-test. We implement our framework on a Field Programmable Gate Array platform and use extensive simulation and logic synthesis runs to assess the benefits of the approach in terms of resource usage and operating frequency.

Acoustic emission based damage localization in composites structures using Bayesian identification

NASA Astrophysics Data System (ADS)

Kundu, A.; Eaton, M. J.; Al-Jumali, S.; Sikdar, S.; Pullin, R.

2017-05-01

Acoustic emission based damage detection in composite structures is based on detection of ultra high frequency packets of acoustic waves emitted from damage sources (such as fibre breakage, fatigue fracture, amongst others) with a network of distributed sensors. This non-destructive monitoring scheme requires solving an inverse problem where the measured signals are linked back to the location of the source. This in turn enables rapid deployment of mitigative measures. The presence of significant amount of uncertainty associated with the operating conditions and measurements makes the problem of damage identification quite challenging. The uncertainties stem from the fact that the measured signals are affected by the irregular geometries, manufacturing imprecision, imperfect boundary conditions, existing damages/structural degradation, amongst others. This work aims to tackle these uncertainties within a framework of automated probabilistic damage detection. The method trains a probabilistic model of the parametrized input and output model of the acoustic emission system with experimental data to give probabilistic descriptors of damage locations. A response surface modelling the acoustic emission as a function of parametrized damage signals collected from sensors would be calibrated with a training dataset using Bayesian inference. This is used to deduce damage locations in the online monitoring phase. During online monitoring, the spatially correlated time data is utilized in conjunction with the calibrated acoustic emissions model to infer the probabilistic description of the acoustic emission source within a hierarchical Bayesian inference framework. The methodology is tested on a composite structure consisting of carbon fibre panel with stiffeners and damage source behaviour has been experimentally simulated using standard H-N sources. The methodology presented in this study would be applicable in the current form to structural damage detection under varying operational loads and would be investigated in future studies.

Research progress of on-line automatic monitoring of chemical oxygen demand (COD) of water

NASA Astrophysics Data System (ADS)

Cai, Youfa; Fu, Xing; Gao, Xiaolu; Li, Lianyin

2018-02-01

With the increasingly stricter control of pollutant emission in China, the on-line automatic monitoring of water quality is particularly urgent. The chemical oxygen demand (COD) is a comprehensive index to measure the contamination caused by organic matters, and thus it is taken as one important index of energy-saving and emission reduction in China’s “Twelve-Five” program. So far, the COD on-line automatic monitoring instrument has played an important role in the field of sewage monitoring. This paper reviews the existing methods to achieve on-line automatic monitoring of COD, and on the basis, points out the future trend of the COD on-line automatic monitoring instruments.

Roles and Domains to Teach in Online Learning Environments: Educational ICT Competency Framework for University Teachers

NASA Astrophysics Data System (ADS)

Guasch, Teresa; Alvarez, Ibis; Espasa, Anna

This chapter is aimed at presenting an integrated framework of the educational information and communications technology (ICT) competencies that university teachers should have to teach in an online learning environment. Teaching through ICT in higher education involves performing three main roles - pedagogical, socialist, and design/planning - and also two cross-cutting domains that arise from the online environment: technological and managerial. This framework as well as the competencies for university teachers associated with it were validated at a European level by a dual process of net-based focus groups of teachers and teacher trainers in each of the participating countries in a European Project (Elene-TLC) and an online Delphi method involving 78 experts from 14 universities of ten European countries. The competency framework and the examples provided in the chapter are the basis for designing innovative professional development activities in online university environments.

Bonsai: an event-based framework for processing and controlling data streams

PubMed Central

Lopes, Gonçalo; Bonacchi, Niccolò; Frazão, João; Neto, Joana P.; Atallah, Bassam V.; Soares, Sofia; Moreira, Luís; Matias, Sara; Itskov, Pavel M.; Correia, Patrícia A.; Medina, Roberto E.; Calcaterra, Lorenza; Dreosti, Elena; Paton, Joseph J.; Kampff, Adam R.

2015-01-01

The design of modern scientific experiments requires the control and monitoring of many different data streams. However, the serial execution of programming instructions in a computer makes it a challenge to develop software that can deal with the asynchronous, parallel nature of scientific data. Here we present Bonsai, a modular, high-performance, open-source visual programming framework for the acquisition and online processing of data streams. We describe Bonsai's core principles and architecture and demonstrate how it allows for the rapid and flexible prototyping of integrated experimental designs in neuroscience. We specifically highlight some applications that require the combination of many different hardware and software components, including video tracking of behavior, electrophysiology and closed-loop control of stimulation. PMID:25904861

Online Monitoring Technical Basis and Analysis Framework for Large Power Transformers; Interim Report for FY 2012

DOE Office of Scientific and Technical Information (OSTI.GOV)

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

The Light Water Reactor Sustainability program at Idaho National Laboratory (INL) is actively conducting research to develop and demonstrate online monitoring (OLM) capabilities for active components in existing Nuclear Power Plants. A pilot project is currently underway to apply OLM to Generator Step-Up Transformers (GSUs) and Emergency Diesel Generators (EDGs). INL and the Electric Power Research Institute (EPRI) are working jointly to implement the pilot project. The EPRI Fleet-Wide Prognostic and Health Management (FW-PHM) Software Suite will be used to implement monitoring in conjunction with utility partners: the Shearon Harris Nuclear Generating Station (owned by Duke Energy for GSUs, andmore » Braidwood Generating Station (owned by Exelon Corporation) for EDGs. This report presents monitoring techniques, fault signatures, and diagnostic and prognostic models for GSUs. GSUs are main transformers that are directly connected to generators, stepping up the voltage from the generator output voltage to the highest transmission voltages for supplying electricity to the transmission grid. Technical experts from Shearon Harris are assisting INL and EPRI in identifying critical faults and defining fault signatures associated with each fault. The resulting diagnostic models will be implemented in the FW-PHM Software Suite and tested using data from Shearon-Harris. Parallel research on EDGs is being conducted, and will be reported in an interim report during the first quarter of fiscal year 2013.« less

Testing telehealth using technology-enhanced nurse monitoring.

PubMed

Grant, Leslie A; Rockwood, Todd; Stennes, Leif

2014-10-01

Technology-enhanced nurse monitoring is a telehealth solution that helps nurses with assessment, diagnosis, and triage of older adults living in community-based settings. This technology links biometric and nonbiometric sensors to a data management system that is monitored remotely by RNs and unlicensed support staff. Nurses faced a number of challenges related to data interpretation, including making clinical inferences from nonbiometric data, integrating data generated by three different telehealth applications into a clinically meaningful cognitive framework, and figuring out how best to use nursing judgment to make valid inferences from online reporting systems. Nurses developed expertise over the course of the current study. The sponsoring organization achieved a high degree of organizational knowledge about how to use these systems more effectively. Nurses saw tremendous value in the telehealth applications. The challenges, learning curve, and organizational improvements are described. Copyright 2014, SLACK Incorporated.

Performance-based financing as a health system reform: mapping the key dimensions for monitoring and evaluation

PubMed Central

2013-01-01

Background Performance-based financing is increasingly being applied in a variety of contexts, with the expectation that it can improve the performance of health systems. However, while there is a growing literature on implementation issues and effects on outputs, there has been relatively little focus on interactions between PBF and health systems and how these should be studied. This paper aims to contribute to filling that gap by developing a framework for assessing the interactions between PBF and health systems, focusing on low and middle income countries. In doing so, it elaborates a general framework for monitoring and evaluating health system reforms in general. Methods This paper is based on an exploratory literature review and on the work of a group of academics and PBF practitioners. The group developed ideas for the monitoring and evaluation framework through exchange of emails and working documents. Ideas were further refined through discussion at the Health Systems Research symposium in Beijing in October 2012, through comments from members of the online PBF Community of Practice and Beijing participants, and through discussion with PBF experts in Bergen in June 2013. Results The paper starts with a discussion of definitions, to clarify the core concept of PBF and how the different terms are used. It then develops a framework for monitoring its interactions with the health system, structured around five domains of context, the development process, design, implementation and effects. Some of the key questions for monitoring and evaluation are highlighted, and a systematic approach to monitoring effects proposed, structured according to the health system pillars, but also according to inputs, processes and outputs. Conclusions The paper lays out a broad framework within which indicators can be prioritised for monitoring and evaluation of PBF or other health system reforms. It highlights the dynamic linkages between the domains and the different pillars. All of these are also framed within inter-sectoral and wider societal contexts. It highlights the importance of differentiating short term and long term effects, and also effects (intended and unintended) at different levels of the health system, and for different sectors and areas of the country. Outstanding work will include using and refining the framework and agreeing on the most important hypotheses to test using it, in relation to PBF but also other purchasing and provider payment reforms, as well as appropriate research methods to use for this task. PMID:24073625

Operation of remote mobile sensors for security of drinking water distribution systems.

PubMed

Perelman, By Lina; Ostfeld, Avi

2013-09-01

The deployment of fixed online water quality sensors in water distribution systems has been recognized as one of the key components of contamination warning systems for securing public health. This study proposes to explore how the inclusion of mobile sensors for inline monitoring of various water quality parameters (e.g., residual chlorine, pH) can enhance water distribution system security. Mobile sensors equipped with sampling, sensing, data acquisition, wireless transmission and power generation systems are being designed, fabricated, and tested, and prototypes are expected to be released in the very near future. This study initiates the development of a theoretical framework for modeling mobile sensor movement in water distribution systems and integrating the sensory data collected from stationary and non-stationary sensor nodes to increase system security. The methodology is applied and demonstrated on two benchmark networks. Performance of different sensor network designs are compared for fixed and combined fixed and mobile sensor networks. Results indicate that complementing online sensor networks with inline monitoring can increase detection likelihood and decrease mean time to detection. Copyright © 2013 Elsevier Ltd. All rights reserved.

Understanding Online (Game)worlds

NASA Astrophysics Data System (ADS)

Klastrup, Lisbeth

With gameworlds as the prime example, this article discusses online worlds as new forms of cultural entertainment systems and presents a framework with which to analyse them. The framework takes its point of departure in a discussion of what online gameworlds are, which genres of worlds exist and how they can be understood as a new form of engaging experience similar to the type of experience we have when we are captivated by the fictional universes of novels, films and tabletop roleplaying games. The proposed framework is grounded in an aesthetic, communicative and sociological approach to online worlds as digital phenomena, with the primary objective of describing how online gameworlds are systems that create meaning through the production of the experience of “worldness”.

A Conceptual Framework for Evolving, Recommender Online Learning Systems

ERIC Educational Resources Information Center

Peiris, K. Dharini Amitha; Gallupe, R. Brent

2012-01-01

A comprehensive conceptual framework is developed and described for evolving recommender-driven online learning systems (ROLS). This framework describes how such systems can support students, course authors, course instructors, systems administrators, and policy makers in developing and using these ROLS. The design science information systems…

An Instructional Design Framework for Fostering Student Engagement in Online Learning Environments

ERIC Educational Resources Information Center

Czerkawski, Betul C.; Lyman, Eugene W.

2016-01-01

Many approaches, models and frameworks exist when designing quality online learning environments. These approaches assist and guide instructional designers through the process of analysis, design, development, implementation and evaluation of instructional processes. Some of these frameworks are concerned with student participation, some with…

Teaching Strategies in Online Discussion Board: A Framework in Higher Education

ERIC Educational Resources Information Center

Chou, Pao-Nan

2012-01-01

In order to promote meaningful learning in the online discussion board, this study attempted to identify key factors that affect the online discussion by a literature review and propose an innovative instructional framework to deal with those factors. Through the literature review, five factors were identified. An innovative instructional…

Applying the Community of Inquiry Framework to Inform the Instructional Design of Online Graduate Courses

ERIC Educational Resources Information Center

Sutton, Jann Marie

2017-01-01

As institutions continue to expand their online learning programs, it becomes increasingly important to identify research-based strategies to support their design. Numerous professional organizations provide guidance to institutions to direct the mechanics of online delivery. The Community of Inquiry (CoI) framework (Garrison, Anderson, Archer,…

Does the Community of Inquiry Framework Predict Outcomes in Online MBA Courses?

ERIC Educational Resources Information Center

Arbaugh, J. B.

2008-01-01

While Garrison and colleagues' (2000) Community of Inquiry (CoI) framework has generated substantial interest among online learning researchers, it has yet to be subjected to extensive quantitative verification or tested for external validity. Using a sample of students from 55 online MBA courses, the findings of this study suggest strong…

The Community of Inquiry Framework Meets the SOLO Taxonomy: A Process-Product Model of Online Learning

ERIC Educational Resources Information Center

Shea, Peter; Gozza-Cohen, Mary; Uzuner, Sedef; Mehta, Ruchi; Valtcheva, Anna Valentinova; Hayes, Suzanne; Vickers, Jason

2011-01-01

This paper presents both a conceptual and empirical investigation of teaching and learning in online courses. Employing both the Community of Inquiry framework (CoI) and the Structure of Observed Learning Outcomes (SOLO) taxonomy, two complete online courses were examined for the quality of both collaborative learning processes and learning…

A Conceptual Framework for Detecting Cheating in Online and Take-Home Exams

ERIC Educational Resources Information Center

D'Souza, Kelwyn A.; Siegfeldt, Denise V.

2017-01-01

Selecting the right methodology to use for detecting cheating in online exams requires considerable time and effort due to a wide variety of scholarly publications on academic dishonesty in online education. This article offers a cheating detection framework that can serve as a guideline for conducting cheating studies. The necessary theories and…

Designing Online Management Education Courses Using the Community of Inquiry Framework

ERIC Educational Resources Information Center

Weyant, Lee E.

2013-01-01

Online learning has grown as a program delivery option for many colleges and programs of business. The Community of Inquiry (CoI) framework consisting of three interrelated elements--social presence, cognitive presence, and teaching presences--provides a model to guide business faculty in their online course design. The course design of an online…

Faculty Perceptions about Teaching Online: Exploring the Literature Using the Technology Acceptance Model as an Organizing Framework

ERIC Educational Resources Information Center

Wingo, Nancy Pope; Ivankova, Nataliya V.; Moss, Jacqueline A.

2017-01-01

Academic leaders can better implement institutional strategic plans to promote online programs if they understand faculty perceptions about teaching online. An extended version of a model for technology acceptance, or TAM2 (Venkatesh & Davis, 2000), provided a framework for surveying and organizing the research literature about factors that…

Emotional Presence in a Relationship of Inquiry: The Case of One-to-One Online Math Coaching

ERIC Educational Resources Information Center

Stenbom, Stefan; Hrastinski, Stefan; Cleveland-Innes, Martha

2016-01-01

Emotions have been confirmed to be a critical component of the process of learning. In the online Community of Inquiry theoretical framework, and the recently suggested online Relationship of Inquiry framework, emotions are considered a subsection of social presence. In this study, the concept of emotional presence is examined. This examination…

Games and Simulations in Online Learning: Research and Development Frameworks

ERIC Educational Resources Information Center

Gibson, David; Aldrich, Clark; Prensky, Marc

2007-01-01

Games and Simulations in Online Learning: Research and Development Frameworks examines the potential of games and simulations in online learning, and how the future could look as developers learn to use the emerging capabilities of the Semantic Web. It presents a general understanding of how the Semantic Web will impact education and how games and…

STAR Online Meta-Data Collection Framework: Integration with the Pre-existing Controls Infrastructure

NASA Astrophysics Data System (ADS)

Arkhipkin, D.; Lauret, J.

2017-10-01

One of the STAR experiment’s modular Messaging Interface and Reliable Architecture framework (MIRA) integration goals is to provide seamless and automatic connections with the existing control systems. After an initial proof of concept and operation of the MIRA system as a parallel data collection system for online use and real-time monitoring, the STAR Software and Computing group is now working on the integration of Experimental Physics and Industrial Control System (EPICS) with MIRA’s interfaces. This integration goals are to allow functional interoperability and, later on, to replace the existing/legacy Detector Control System components at the service level. In this report, we describe the evolutionary integration process and, as an example, will discuss the EPICS Alarm Handler conversion. We review the complete upgrade procedure starting with the integration of EPICS-originated alarm signals propagation into MIRA, followed by the replacement of the existing operator interface based on Motif Editor and Display Manager (MEDM) with modern portable web-based Alarm Handler interface. To achieve this aim, we have built an EPICS-to-MQTT [8] bridging service, and recreated the functionality of the original Alarm Handler using low-latency web messaging technologies. The integration of EPICS alarm handling into our messaging framework allowed STAR to improve the DCS alarm awareness of existing STAR DAQ and RTS services, which use MIRA as a primary source of experiment control information.

Designing a Workable Framework for Evaluating Distance Language Instruction

ERIC Educational Resources Information Center

Madyarov, Irshat

2009-01-01

Teaching foreign languages at distance is now becoming widespread; so is the need for evaluating online language courses. This article discusses an example of a framework that was applied to evaluate an online English as a foreign language (EFL) course at a Middle Eastern university. The development of the framework investigated areas of interest…

A conductive grating sensor for online quantitative monitoring of fatigue crack.

PubMed

Li, Peiyuan; Cheng, Li; Yan, Xiaojun; Jiao, Shengbo; Li, Yakun

2018-05-01

Online quantitative monitoring of crack damage due to fatigue is a critical challenge for structural health monitoring systems assessing structural safety. To achieve online quantitative monitoring of fatigue crack, a novel conductive grating sensor based on the principle of electrical potential difference is proposed. The sensor consists of equidistant grating channels to monitor the fatigue crack length and conductive bars to provide the circuit path. An online crack monitoring system is established to verify the sensor's capability. The experimental results prove that the sensor is suitable for online quantitative monitoring of fatigue crack. A finite element model for the sensor is also developed to optimize the sensitivity of crack monitoring, which is defined by the rate of sensor resistance change caused by the break of the first grating channel. Analysis of the model shows that the sensor sensitivity can be enhanced by reducing the number of grating channels and increasing their resistance and reducing the resistance of the conductive bar.

A conductive grating sensor for online quantitative monitoring of fatigue crack

NASA Astrophysics Data System (ADS)

Li, Peiyuan; Cheng, Li; Yan, Xiaojun; Jiao, Shengbo; Li, Yakun

2018-05-01

Online quantitative monitoring of crack damage due to fatigue is a critical challenge for structural health monitoring systems assessing structural safety. To achieve online quantitative monitoring of fatigue crack, a novel conductive grating sensor based on the principle of electrical potential difference is proposed. The sensor consists of equidistant grating channels to monitor the fatigue crack length and conductive bars to provide the circuit path. An online crack monitoring system is established to verify the sensor's capability. The experimental results prove that the sensor is suitable for online quantitative monitoring of fatigue crack. A finite element model for the sensor is also developed to optimize the sensitivity of crack monitoring, which is defined by the rate of sensor resistance change caused by the break of the first grating channel. Analysis of the model shows that the sensor sensitivity can be enhanced by reducing the number of grating channels and increasing their resistance and reducing the resistance of the conductive bar.

An online condition monitoring system implemented an internet connectivity and FTP for low speed slew bearing

NASA Astrophysics Data System (ADS)

Caesarendra, W.; Kosasih, B.; Tjahjowidodo, T.; Ariyanto, M.; Daryl, LWQ; Pamungkas, D.

2018-04-01

Rapid and reliable information in slew bearing maintenance is not trivial issue. This paper presents the online monitoring system to assist maintenance engineer in order to monitor the bearing condition of low speed slew bearing in sheet metal company. The system is able to pass the vibration information from the place where the bearing and accelerometer sensors are attached to the data center; and from the data center it can be access by opening the online monitoring website from any place and by any person. The online monitoring system is built using some programming languages such as C language, MATLAB, PHP, HTML and CSS. Generally, the flow process is start with the automatic vibration data acquisition; then features are calculated from the acquired vibration data. These features are then sent to the data center; and form the data center, the vibration features can be seen through the online monitoring website. This online monitoring system has been successfully applied in School of Mechanical, Materials and Mechatronic Engineering, University of Wollongong.

Air pollution management and control in Latin America and the Caribbean: implications for climate change.

PubMed

Riojas-Rodríguez, Horacio; da Silva, Agnes Soares; Texcalac-Sangrador, José Luis; Moreno-Banda, Grea Litai

2016-09-01

To assess the status of the legal framework for air quality control in all countries of Latin America and Caribbean (LAC); to determine the current distribution of air monitoring stations and mean levels of air pollutants in all capital and large cities (more than 100 000 inhabitants); and to discuss the implications for climate change and public policymaking. From January 2015-February 2016, searches were conducted of online databases for legislation, regulations, policies, and air pollution programs, as well as for the distribution of monitoring stations and the mean annual levels of air pollution in all LAC countries. Only 117 cities distributed among 17 of 33 LAC countries had official information on ground level air pollutants, covering approximately 146 million inhabitants. The annual mean of inhalable particles concentration in most of the cities were over the World Health Organization Air Quality Guidelines; notably, only Bolivia, Peru, and Guatemala have actually adopted the guidelines. Most of the cities did not have information on particulate matter of 2.5 microns or less, and only a few measured black carbon. The air quality regulatory framework should be updated to reflect current knowledge on health effects. Monitoring and control of ground level pollutants should be extended and strengthened to increase awareness and protect public health. Using the co-benefits of air pollution control for health and climate as a framework for policy and decision-making in LAC is recommended.

Revising the Community of Inquiry Framework for the Analysis of One-to-One Online Learning Relationships

ERIC Educational Resources Information Center

Stenbom, Stefan; Jansson, Malin; Hulkko, Annelie

2016-01-01

In online learning research, the theoretical community of inquiry framework has been used extensively to analyze processes of inquiry among learners and instructors within a community. This paper examines a special case of community of inquiry consisting of only one learner and one instructor. Together they engage in an online coaching discourse…

Constructing an Online Test Framework, Using the Example of a Sign Language Receptive Skills Test

ERIC Educational Resources Information Center

Haug, Tobias; Herman, Rosalind; Woll, Bencie

2015-01-01

This paper presents the features of an online test framework for a receptive skills test that has been adapted, based on a British template, into different sign languages. The online test includes features that meet the needs of the different sign language versions. Features such as usability of the test, automatic saving of scores, and score…

A Response to the Review of the Community of Inquiry Framework

ERIC Educational Resources Information Center

Akyol, Zehra; Arbaugh, J. Ben; Cleveland-Innes, Marti; Garrison, D. Randy; Ice, Phil; Richardson, Jennifer C.; Swan, Karen

2009-01-01

The Community of Inquiry (CoI) framework has become a prominent model of teaching and learning in online and blended learning environments. Considerable research has been conducted which employs the framework with promising results, resulting in wide use to inform the practice of online and blended teaching and learning. For the CoI model to…

Relationship of Metacognitive Monitoring with Interaction in an Asynchronous Online Discussion Forum

ERIC Educational Resources Information Center

Topcu, Abdullah

2010-01-01

Monitoring one's own performance accurately is essential for information-processing and self-regulation, which are indispensable in an online learning environment. In this article, the effect of metacognitive monitoring (MM) on interaction in an asynchronous online discussion forum was investigated. Transcripts of this forum, which was integrated…

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

DOE Office of Scientific and Technical Information (OSTI.GOV)

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

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 bymore » 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.« less

A Security Framework for Online Distance Learning and Training.

ERIC Educational Resources Information Center

Furnell, S. M.; Onions, P. D.; Bleimann, U.; Gojny, U.; Knahl, M.; Roder, H. F.; Sanders, P. W.

1998-01-01

Presents a generic reference model for online distance learning and discusses security issues for each stage (enrollment, study, completion, termination, suspension). Discusses a security framework (authentication and accountability, access control, intrusion detection, network communications, nonrepudiation, learning resources provider…

Development of GUI Type On-Line Condition Monitoring Program for a Turboprop Engine Using Labview

NASA Astrophysics Data System (ADS)

Kong, Changduk; Kim, Keonwoo

2011-12-01

Recently, an aero gas turbine health monitoring system has been developed for precaution and maintenance action against faults or performance degradations of the advanced propulsion system which occurs in severe environments such as high altitude, foreign object damage particles, hot and heavy rain and snowy atmospheric conditions. However to establish this health monitoring system, the online condition monitoring program is firstly required, and the program must monitor the engine performance trend through comparison between measured engine performance data and base performance results calculated by base engine performance model. This work aims to develop a GUI type on-line condition monitoring program for the PT6A-67 turboprop engine of a high altitude and long endurance operation UAV using LabVIEW. The base engine performance of the on-line condition monitoring program is simulated using component maps inversely generated from the limited performance deck data provided by engine manufacturer. The base engine performance simulation program is evaluated because analysis results by this program agree well with the performance deck data. The proposed on-line condition program can monitor the real engine performance as well as the trend through precise comparison between clean engine performance results calculated by the base performance simulation program and measured engine performance signals. In the development phase of this monitoring system, a signal generation module is proposed to evaluate the proposed online monitoring system. For user friendly purpose, all monitoring program are coded by LabVIEW, and monitoring examples are demonstrated using the proposed GUI type on-condition monitoring program.

A Framework of Combining Case-Based Reasoning with a Work Breakdown Structure for Estimating the Cost of Online Course Production Projects

ERIC Educational Resources Information Center

He, Wu

2014-01-01

Currently, a work breakdown structure (WBS) approach is used as the most common cost estimation approach for online course production projects. To improve the practice of cost estimation, this paper proposes a novel framework to estimate the cost for online course production projects using a case-based reasoning (CBR) technique and a WBS. A…

Towards a machine learning framework for acquiring and exploiting monitoring and diagnostic knowledge

NASA Technical Reports Server (NTRS)

Manganaris, Stefanos; Fisher, Doug; Kulkarni, Deepak

1993-01-01

In this paper we address the problem of detecting and diagnosing faults in physical systems, for which neither prior expertise for the task nor suitable system models are available. We propose an architecture that integrates the on-line acquisition and exploitation of monitoring and diagnostic knowledge. The focus of the paper is on the component of the architecture that discovers classes of behaviors with similar characteristics by observing a system in operation. We investigate a characterization of behaviors based on best fitting approximation models. An experimental prototype has been implemented to test it. We present preliminary results in diagnosing faults of the Reaction Control System of the Space Shuttle. The merits and limitations of the approach are identified and directions for future work are set.

Making Online Learning Personal: Evolution, Evidentiary Reasoning, and Self-Regulation in an Online Curriculum

NASA Astrophysics Data System (ADS)

Marsteller, Robert B.

An online curriculum about biological evolution was designed according to the Promoting Evidentiary Reasoning and Self-regulation Online (PERSON) theoretical framework. PERSON is an attempt to develop online science instruction focused on supporting evidentiary reasoning and self-regulation. An efficacy study was conducted with 80 suburban high school biology students using a design-based research approach to develop a curriculum to promote biological evolution understandings, evidentiary reasoning, and self-regulation. Data sources and instruments included (1) the Biological Evolution Assessment Measurement (BEAM); (2) the modified Motivated Strategies for Learning Questionnaire (MSLQ); (3) discussion forum posts; (4) formative assessments of evidence based reasoning; (5) Prediction, Monitoring, and Reflection forms (PMR); (6) the Online Instruction Questionnaire; and (7) field notes. Findings revealed that BEAM posttest scores were significantly greater than pretest scores for items designed to measure biological evolution content knowledge and evidentiary reasoning. Students tracked in a lower level biology course showed improvement in biological evolution understandings and evidentiary reasoning. It was found that performance on daily evidentiary reasoning tasks strongly predicted BEAM posttest scores. However, findings revealed that students did not meet local standards for performance on items designed to measure evidentiary reasoning. Students expressed a variety of opinions about their learning experiences with the online curriculum. Some students expressed a definite preference for traditional learning environments, while others expressed a definite preference for online learning. Self-regulatory ability did not significantly predict BEAM gain scores. Further, self-regulatory ability was not demonstrably improved as a result of this intervention. Implications for designing science instruction in asynchronous online learning environments to support evidentiary reasoning and self-regulation are discussed.

User Centric Job Monitoring - a redesign and novel approach in the STAR experiment

NASA Astrophysics Data System (ADS)

Arkhipkin, D.; Lauret, J.; Zulkarneeva, Y.

2014-06-01

User Centric Monitoring (or UCM) has been a long awaited feature in STAR, whereas programs, workflows and system "events" could be logged, broadcast and later analyzed. UCM allows to collect and filter available job monitoring information from various resources and present it to users in a user-centric view rather than an administrative-centric point of view. The first attempt and implementation of "a" UCM approach was made in STAR 2004 using a log4cxx plug-in back-end and then further evolved with an attempt to push toward a scalable database back-end (2006) and finally using a Web-Service approach (2010, CSW4DB SBIR). The latest showed to be incomplete and not addressing the evolving needs of the experiment where streamlined messages for online (data acquisition) purposes as well as the continuous support for the data mining needs and event analysis need to coexists and unified in a seamless approach. The code also revealed to be hardly maintainable. This paper presents the next evolutionary step of the UCM toolkit, a redesign and redirection of our latest attempt acknowledging and integrating recent technologies and a simpler, maintainable and yet scalable manner. The extended version of the job logging package is built upon three-tier approach based on Task, Job and Event, and features a Web-Service based logging API, a responsive AJAX-powered user interface, and a database back-end relying on MongoDB, which is uniquely suited for STAR needs. In addition, we present details of integration of this logging package with the STAR offline and online software frameworks. Leveraging on the reported experience and work from the ATLAS and CMS experience on using the ESPER engine, we discuss and show how such approach has been implemented in STAR for meta-data event triggering stream processing and filtering. An ESPER based solution seems to fit well into the online data acquisition system where many systems are monitored.

Building a Student-Centred Learning Framework Using Social Software in the Middle Years Classroom: An Action Research Study

ERIC Educational Resources Information Center

Casey, Gail

2013-01-01

This article discusses the development of the online spaces that were used to create a learning framework: a student-centred framework that combined face-to-face teaching with online social and participatory media. The author, as part of her Doctoral research study, used action research as a mechanism for continual improvement as she redesigned…

A Critical Review of the Use of Wenger's Community of Practice (CoP) Theoretical Framework in Online and Blended Learning Research, 2000-2014

ERIC Educational Resources Information Center

Smith, Sedef Uzuner; Hayes, Suzanne; Shea, Peter

2017-01-01

After presenting a brief overview of the key elements that underpin Etienne Wenger's communities of practice (CoP) theoretical framework, one of the most widely cited and influential conceptions of social learning, this paper reviews extant empirical work grounded in this framework to investigate online/blended learning in higher education and in…

A Professional Development Framework for Online Teaching

ERIC Educational Resources Information Center

Baran, Evrim; Correia, Ana-Paula

2014-01-01

The quality of online programs in higher education is strongly correlated with how the professional development approaches respond to the needs of online teachers. These approaches are critical in helping online teachers adopt online pedagogical practices and reconstruct their teacher persona in an online environment. This study proposes a nested…

THttpServer class in ROOT

NASA Astrophysics Data System (ADS)

Adamczewski-Musch, Joern; Linev, Sergey

2015-12-01

The new THttpServer class in ROOT implements HTTP server for arbitrary ROOT applications. It is based on Civetweb embeddable HTTP server and provides direct access to all objects registered for the server. Objects data could be provided in different formats: binary, XML, GIF/PNG, and JSON. A generic user interface for THttpServer has been implemented with HTML/JavaScript based on JavaScript ROOT development. With any modern web browser one could list, display, and monitor objects available on the server. THttpServer is used in Go4 framework to provide HTTP interface to the online analysis.

[Design and implementation of online statistical analysis function in information system of air pollution and health impact monitoring].

PubMed

Lü, Yiran; Hao, Shuxin; Zhang, Guoqing; Liu, Jie; Liu, Yue; Xu, Dongqun

2018-01-01

To implement the online statistical analysis function in information system of air pollution and health impact monitoring, and obtain the data analysis information real-time. Using the descriptive statistical method as well as time-series analysis and multivariate regression analysis, SQL language and visual tools to implement online statistical analysis based on database software. Generate basic statistical tables and summary tables of air pollution exposure and health impact data online; Generate tendency charts of each data part online and proceed interaction connecting to database; Generate butting sheets which can lead to R, SAS and SPSS directly online. The information system air pollution and health impact monitoring implements the statistical analysis function online, which can provide real-time analysis result to its users.

E-learning for healthcare students: developing the communities of practice framework.

PubMed

Moule, Pam

2006-05-01

This paper presents research considering whether healthcare students were able to develop characteristics of communities of practice when engaged in an online module. Little is known about whether the communities of practice framework can be applied to online learning, with no previous consideration of its potential use within healthcare education. Using a case study approach the research, completed in 2004, had two phases. A questionnaire was administered to a group of 109 healthcare students to gain information on which to base sampling for the subsequent phase. Phase 2 employed three strands of data collection: five students completed an online diary, the online interactions of seven students were captured on a discussion board and three students were interviewed. Data were analysed using a form of pattern matching. Students were able to develop essential elements of communities of practice: mutual engagement, joint enterprise and shared repertoire, though this was not uniformly seen. Particular issues emerged for the online community, including enabling access to the online environment to support mutual engagement. The development of trust was also threatened by difficulties of presenting identities online. Joint enterprise was hampered by the online situation, although the virtual classroom proved essential for supporting endeavour. Not all students were committed to their groups. There was some evidence of group members developing shared repertoire, as routines of group working emerged. Professional understanding and computer skills were also enhanced. The framework can be applied to supporting online learning internationally amongst students and has applicability to professional groups. Those intending to employ the framework should ensure that students can gain access to the community and have the computer skills to engage. Course design should be considered to ensure support for developing the essential components of communities of practice.

Monitoring novel psychoactive substances allegedly offered online for sale in Persian and Arabic languages.

PubMed

Corazza, Ornella; Assi, Sulaf; Malekianragheb, Saeideh; Beni, Mitra Naderi; Bigdeli, Imanollah; Aslanpour, Zoe; Schifano, Fabrizio

2014-07-01

Numbers of novel psychoactive substances (NPS) have been rapidly increasing over the past few years, with unprecedented challenges on traditional drug control systems. The web has been involved in the promotion and knowledge dissemination of NPS, which are being presented online as safer/legal alternatives to illicit drugs. The physical, psychological and social harms associated with NPS have been studied so far mainly in Europe and other English speaking countries. The aim of this research is to provide knowledge on the provision of NPS information/purchase opportunities to Middle East customers, whilst monitoring the Internet in Arabic and Farsi. Web analysis/assessments were carried out in both Farsi and Arabic between 2011 and 2013. Sources were scrutinized with the help of different search engines, including Google Arabic and Google Persian, to carry out searches focusing on both NPS retailers' and social network websites. The research identified 45 NPS apparently offered for purchase online. Most of these products were of synthetic origin; a few herbal stimulants were identified as well. The pro drug websites were not here easily identified, being hidden behind other, unrelated, websites. Present results may constitute a public health challenge to be considered at both national and worldwide level. New legislative frameworks should also be encouraged in order to ensure a better response to the current threat posed by rapid emergence of these substances. Copyright © 2014 Elsevier B.V. All rights reserved.

From Pixel on a Screen to Real Person in Your Students' Lives: Establishing Social Presence Using Digital Storytelling

ERIC Educational Resources Information Center

Lowenthal, Patrick R.; Dunlap, Joanna C.

2010-01-01

The Community of Inquiry (CoI) framework is a comprehensive guide to the research "and" practice of online learning. One of the most challenging aspects of establishing a CoI in online courses is finding the best way to attend to each element of the CoI framework in a primarily text-based environment. In our online courses, we have examined the…

The protective effects of parental monitoring and internet restriction on adolescents' risk of online harassment.

PubMed

Khurana, Atika; Bleakley, Amy; Jordan, Amy B; Romer, Daniel

2015-05-01

With many adolescents using the internet to communicate with their peers, online harassment is on the rise among youth. The purpose of this study was to understand how parental monitoring and strategies parents use to regulate children's internet use (i.e., internet restriction) can help reduce online harassment among adolescents. Online survey data were collected from a nationally representative sample of parents and their 12-17 year old adolescents (n = 629; 49 % female). Structural equation modeling was used to test direct and indirect effects of parental monitoring and internet restriction on being a victim of online harassment. Potential mediators included adolescents' frequency of use of social networking websites, time spent on computers outside of school, and internet access in the adolescent's bedroom. Age and gender differences were also explored. Adolescents' reports of parental monitoring and efforts to regulate specific forms of internet use were associated with reduced rates of online harassment. Specifically, the effect of parental monitoring was largely direct and 26 times greater than parental internet restriction. The latter was associated with lower rates of harassment only indirectly by limiting internet access in the adolescent's bedroom. These effects operated similarly for younger and older adolescents and for males and females. Adolescents' perceptions of parental monitoring and awareness can be protective against online harassment. Specific restriction strategies such as regulating internet time and content can also help reduce the risk of online harassment.

Advance care planning in 21st century Australia: a systematic review and appraisal of online advance care directive templates against national framework criteria.

PubMed

Luckett, Tim; Bhattarai, Priyanka; Phillips, Jane; Agar, Meera; Currow, David; Krastev, Yordanka; Davidson, Patricia M

2015-11-01

A drive to promote advance care planning at a population level has led to a proliferation of online advance care directive (ACD) templates but little information to guide consumer choice. The current study aimed to appraise the quality of online ACD templates promoted for use in Australia. A systematic review of online Australian ACD templates was conducted in February 2014. ACD templates were identified via Google searches, and quality was independently appraised by two reviewers against criteria from the 2011 report A National Frameworkfor Advance Care Directives. Bias either towards or against future medical treatment was assessed using criteria designed to limit subjectivity. Fourteen online ACD templates were included, all of which were available only in English. Templates developed by Southern Cross University best met the framework criteria. One ACD template was found to be biased against medical treatment--the Dying with Dignity Victoria Advance Healthcare Directive. More research is needed to understand how online resources can optimally elicit and record consumers' individual preferences for future care. Future iterations of the framework should address online availability and provide a simple rating system to inform choice and drive quality improvement.

Monitoring of Students' Interaction in Online Learning Settings by Structural Network Analysis and Indicators.

PubMed

Ammenwerth, Elske; Hackl, Werner O

2017-01-01

Learning as a constructive process works best in interaction with other learners. Support of social interaction processes is a particular challenge within online learning settings due to the spatial and temporal distribution of participants. It should thus be carefully monitored. We present structural network analysis and related indicators to analyse and visualize interaction patterns of participants in online learning settings. We validate this approach in two online courses and show how the visualization helps to monitor interaction and to identify activity profiles of learners. Structural network analysis is a feasible approach for an analysis of the intensity and direction of interaction in online learning settings.

Analytic Frameworks for Assessing Dialogic Argumentation in Online Learning Environments

ERIC Educational Resources Information Center

Clark, Douglas B; Sampson, Victor; Weinberger, Armin; Erkens, Gijsbert

2007-01-01

Over the last decade, researchers have developed sophisticated online learning environments to support students engaging in dialogic argumentation. This review examines five categories of analytic frameworks for measuring participant interactions within these environments focusing on (1) formal argumentation structure, (2) conceptual quality, (3)…

Patterns of Success: Online Self-Monitoring in a Web-Based Behavioral Weight Control Program

PubMed Central

Krukowski, Rebecca A.; Harvey-Berino, Jean; Bursac, Zoran; Ashikaga, Taka; West, Delia Smith

2016-01-01

Objectives Online weight control technologies could reduce barriers to treatment, including increased ease and convenience of self-monitoring. Self-monitoring consistently predicts outcomes in behavioral weight loss programs; however, little is known about patterns of self-monitoring associated with success. Methods The current study examines 161 participants (93% female; 31% African-American; mean BMI=35.7±5.7) randomized to a 6-month online behavioral weight control program which offered weekly group “chat” sessions and online self-monitoring. Self-monitoring log-ins were continuously monitored electronically during treatment and examined in association with weight change and demographics. Weekend and weekday log-ins were examined separately and length of periods of continuous self-monitoring were examined. Results We found that 91% of participants logged in to the self-monitoring webpage at least once. Over 6 months, these participants monitored on an average of 28% of weekdays and 17% of weekend days, with most log-ins earlier in the program. Women were less likely to log-in, and there were trends for greater self-monitoring by older participants. Race, education and marital status were not significant predictors of self-monitoring. Both weekday and weekend log-ins were significant independent predictors of weight loss. Patterns of consistent self-monitoring emerged early for participants who went on to achieve greater than a five percent weight loss. Conclusions Patterns of online self-monitoring were strongly associated with weight loss outcomes. These results suggest a specific focus on consistent self-monitoring early in a behavioral weight control program might be beneficial for achieving clinically significant weight losses. PMID:22545978

LiMPETS: Scientists Contributions to Coastal Protection Program for Youth

NASA Astrophysics Data System (ADS)

Saltzman, J.; Osborn, D. A.

2004-12-01

In the West Coast National Marine Sanctuaries' LiMPETS (Long-term Monitoring Experiential Training for Students), scientists have partnered with local sanctuaries to develop an educational and scientifically-based monitoring program. With different levels of commitment and interest, scientists have contributed to developing protocols that youth can successfully use to monitor coastal habitats. LiMPETS was developed to address the gap in marine science education for high school students. The team of sanctuary educators together with local scientists collaborate and compromise to develop scientifically accurate and meaningful monitoring projects. By crossing the border between scientists and educators, LiMPETS has become a rich program which provides to teachers professional development, monitoring equipment, an online database, and field support. In the Sandy Beach Monitoring Project, we called on an expert on the sand crab Emerita analoga to help us modify the protocols that she uses to monitor crabs regularly. This scientist brings inspiration to teachers at teacher workshops by explaining how the student monitoring compliments her research. The Rocky Intertidal Monitoring Project was developed by scientists at University of California at Santa Cruz with the intention of passing on this project to an informal learning center. After receiving California Sea Grant funding, the protocols used for over 30 years with undergraduates were modified for middle and high school students. With the help of teachers, classroom activities were developed to train students for fieldwork. The online database was envisioned by the scientists to house the historical data from undergraduate students while growing with new data collected middle and high school students. The support of scientists in this program has been crucial to develop a meaningful program for both youth and resource managers. The hours that a scientist contributes to this program may be minimal, a weeklong workshop or even a part-time job. The framework of resource protection agencies partnering with scientists can be replicated to monitor other natural habitats. Through LiMPETS, scientists are helping to develop scientifically literate youth who are engaged in environmental monitoring.

Performance Monitoring Of A Computer Numerically Controlled (CNC) Lathe Using Pattern Recognition Techniques

NASA Astrophysics Data System (ADS)

Daneshmend, L. K.; Pak, H. A.

1984-02-01

On-line monitoring of the cutting process in CNC lathe is desirable to ensure unattended fault-free operation in an automated environment. The state of the cutting tool is one of the most important parameters which characterises the cutting process. Direct monitoring of the cutting tool or workpiece is not feasible during machining. However several variables related to the state of the tool can be measured on-line. A novel monitoring technique is presented which uses cutting torque as the variable for on-line monitoring. A classifier is designed on the basis of the empirical relationship between cutting torque and flank wear. The empirical model required by the on-line classifier is established during an automated training cycle using machine vision for off-line direct inspection of the tool.

Reflection Amplifiers in Online Courses: A Classification Framework

ERIC Educational Resources Information Center

Verpoorten, Dominique; Westera, Wim; Specht, Marcus

2011-01-01

This paper provides a theoretical framework for "reflection amplifiers" that are used in online courses. Such reflection amplifiers are intervention techniques that aim at provoking reflective practices in learning, in order to enhance the quality and effectiveness of learning and promote meta-cognition. A literature survey identified a sample of…

Online Counseling: Reviewing the Literature from a Counseling Psychology Framework

ERIC Educational Resources Information Center

Mallen, Michael J.; Vogel, David L.; Rochlen, Aaron B.; Day, Susan X.

2005-01-01

This article reviews the online-counseling literature with an emphasis on current applications and considerations for future research. It focuses on primary themes of counseling psychology including the history of process-outcome research and multiculturalism. It explores current gaps in the literature from a counseling psychology framework,…

Assessing Quality of Critical Thought in Online Discussion

ERIC Educational Resources Information Center

Weltzer-Ward, Lisa; Baltes, Beate; Lynn, Laura Knight

2009-01-01

Purpose: The purpose of this paper is to describe a theoretically based coding framework for an integrated analysis and assessment of critical thinking in online discussion. Design/methodology/approach: The critical thinking assessment framework (TAF) is developed through review of theory and previous research, verified by comparing results to…

Research on signal processing method for total organic carbon of water quality online monitor

NASA Astrophysics Data System (ADS)

Ma, R.; Xie, Z. X.; Chu, D. Z.; Zhang, S. W.; Cao, X.; Wu, N.

2017-08-01

At present, there is no rapid, stable and effective approach of total organic carbon (TOC) measurement in the Marine environmental online monitoring field. Therefore, this paper proposes an online TOC monitor of chemiluminescence signal processing method. The weak optical signal detected by photomultiplier tube can be enhanced and converted by a series of signal processing module: phase-locked amplifier module, fourth-order band pass filter module and AD conversion module. After a long time of comparison test & measurement, compared with the traditional method, on the premise of sufficient accuracy, this chemiluminescence signal processing method can offer greatly improved measuring speed and high practicability for online monitoring.

On-line data analysis and monitoring for H1 drift chambers

NASA Astrophysics Data System (ADS)

Düllmann, Dirk

1992-05-01

The on-line monitoring, slow control and calibration of the H1 central jet chamber uses a VME multiprocessor system to perform the analysis and a connected Macintosh computer as graphical interface to the operator on shift. Task of this system are: - analysis of event data including on-line track search, - on-line calibration from normal events and testpulse events, - control of the high voltage and monitoring of settings and currents, - monitoring of temperature, pressure and mixture of the chambergas. A program package is described which controls the dataflow between data aquisition, differnt VME CPUs and Macintosh. It allows to run off-line style programs for the different tasks.

On-line Toxicity Monitors and Their Use in an Upper Mississippi Watershed Water Quality Monitoring Network

EPA Science Inventory

A collaborative effort to monitor the upper Mississippi River watershed using On-line Toxicity Monitors (OTMs) is underway with three sites currently deployed and several more at various stages of development. Federal, State, and Local, agencies as well as utilities and Universi...

A Framework for Culturally Relevant Online Learning: Lessons from Alaska's Tribal Health Workers.

PubMed

Cueva, Katie; Cueva, Melany; Revels, Laura; Lanier, Anne P; Dignan, Mark; Viswanath, K; Fung, Teresa T; Geller, Alan C

2018-03-22

Culturally relevant health promotion is an opportunity to reduce health inequities in diseases with modifiable risks, such as cancer. Alaska Native people bear a disproportionate cancer burden, and Alaska's rural tribal health workers consequently requested cancer education accessible online. In response, the Alaska Native Tribal Health Consortium cancer education team sought to create a framework for culturally relevant online learning to inform the creation of distance-delivered cancer education. Guided by the principles of community-based participatory action research and grounded in empowerment theory, the project team conducted a focus group with 10 Alaska Native education experts, 12 culturally diverse key informant interviews, a key stakeholder survey of 62 Alaska Native tribal health workers and their instructors/supervisors, and a literature review on distance-delivered education with Alaska Native or American Indian people. Qualitative findings were analyzed in Atlas.ti, with common themes presented in this article as a framework for culturally relevant online education. This proposed framework includes four principles: collaborative development, interactive content delivery, contextualizing learning, and creating connection. As an Alaskan tribal health worker shared "we're all in this together. All about conversations, relationships. Always learn from you/with you, together what we know and understand from the center of our experience, our ways of knowing, being, caring." The proposed framework has been applied to support cancer education and promote cancer control with Alaska Native people and has motivated health behavior change to reduce cancer risk. This framework may be adaptable to other populations to guide effective and culturally relevant online interventions.

An MFC-Based Online Monitoring and Alert System for Activated Sludge Process

PubMed Central

Xu, Gui-Hua; Wang, Yun-Kun; Sheng, Guo-Ping; Mu, Yang; Yu, Han-Qing

2014-01-01

In this study, based on a simple, compact and submersible microbial fuel cell (MFC), a novel online monitoring and alert system with self-diagnosis function was established for the activated sludge (AS) process. Such a submersible MFC utilized organic substrates and oxygen in the AS reactor as the electron donor and acceptor respectively, and could provide an evaluation on the status of the AS reactor and thus give a reliable early warning of potential risks. In order to evaluate the reliability and sensitivity of this online monitoring and alert system, a series of tests were conducted to examine the response of this system to various shocks imposed on the AS reactor. The results indicate that this online monitoring and alert system was highly sensitive to the performance variations of the AS reactor. The stability, sensitivity and repeatability of this online system provide feasibility of being incorporated into current control systems of wastewater treatment plants to real-time monitor, diagnose, alert and control the AS process. PMID:25345502

On the Relevancy of Efficient, Integrated Computer and Network Monitoring in HEP Distributed Online Environment

NASA Astrophysics Data System (ADS)

Carvalho, D.; Gavillet, Ph.; Delgado, V.; Albert, J. N.; Bellas, N.; Javello, J.; Miere, Y.; Ruffinoni, D.; Smith, G.

Large Scientific Equipments are controlled by Computer Systems whose complexity is growing driven, on the one hand by the volume and variety of the information, its distributed nature, the sophistication of its treatment and, on the other hand by the fast evolution of the computer and network market. Some people call them genetically Large-Scale Distributed Data Intensive Information Systems or Distributed Computer Control Systems (DCCS) for those systems dealing more with real time control. Taking advantage of (or forced by) the distributed architecture, the tasks are more and more often implemented as Client-Server applications. In this framework the monitoring of the computer nodes, the communications network and the applications becomes of primary importance for ensuring the safe running and guaranteed performance of the system. With the future generation of HEP experiments, such as those at the LHC in view, it is proposed to integrate the various functions of DCCS monitoring into one general purpose Multi-layer System.

Quality assurance for online adapted treatment plans: Benchmarking and delivery monitoring simulation

DOE Office of Scientific and Technical Information (OSTI.GOV)

Li, Taoran, E-mail: taoran.li.duke@gmail.com; Wu, Qiuwen; Yang, Yun

Purpose: An important challenge facing online adaptive radiation therapy is the development of feasible and efficient quality assurance (QA). This project aimed to validate the deliverability of online adapted plans and develop a proof-of-concept online delivery monitoring system for online adaptive radiation therapy QA. Methods: The first part of this project benchmarked automatically online adapted prostate treatment plans using traditional portal dosimetry IMRT QA. The portal dosimetry QA results of online adapted plans were compared to original (unadapted) plans as well as randomly selected prostate IMRT plans from our clinic. In the second part, an online delivery monitoring system wasmore » designed and validated via a simulated treatment with intentional multileaf collimator (MLC) errors. This system was based on inputs from the dynamic machine information (DMI), which continuously reports actual MLC positions and machine monitor units (MUs) at intervals of 50 ms or less during delivery. Based on the DMI, the system performed two levels of monitoring/verification during the delivery: (1) dynamic monitoring of cumulative fluence errors resulting from leaf position deviations and visualization using fluence error maps (FEMs); and (2) verification of MLC positions against the treatment plan for potential errors in MLC motion and data transfer at each control point. Validation of the online delivery monitoring system was performed by introducing intentional systematic MLC errors (ranging from 0.5 to 2 mm) to the DMI files for both leaf banks. These DMI files were analyzed by the proposed system to evaluate the system’s performance in quantifying errors and revealing the source of errors, as well as to understand patterns in the FEMs. In addition, FEMs from 210 actual prostate IMRT beams were analyzed using the proposed system to further validate its ability to catch and identify errors, as well as establish error magnitude baselines for prostate IMRT delivery. Results: Online adapted plans were found to have similar delivery accuracy in comparison to clinical IMRT plans when validated with portal dosimetry IMRT QA. FEMs for the simulated deliveries with intentional MLC errors exhibited distinct patterns for different MLC error magnitudes and directions, indicating that the proposed delivery monitoring system is highly specific in detecting the source of errors. Implementing the proposed QA system for online adapted plans revealed excellent delivery accuracy: over 99% of leaf position differences were within 0.5 mm, and >99% of pixels in the FEMs had fluence errors within 0.5 MU. Patterns present in the FEMs and MLC control point analysis for actual patient cases agreed with the error pattern analysis results, further validating the system’s ability to reveal and differentiate MLC deviations. Calculation of the fluence map based on the DMI was performed within 2 ms after receiving each DMI input. Conclusions: The proposed online delivery monitoring system requires minimal additional resources and time commitment to the current clinical workflow while still maintaining high sensitivity to leaf position errors and specificity to error types. The presented online delivery monitoring system therefore represents a promising QA system candidate for online adaptive radiation therapy.« less

Quality assurance for online adapted treatment plans: benchmarking and delivery monitoring simulation.

PubMed

Li, Taoran; Wu, Qiuwen; Yang, Yun; Rodrigues, Anna; Yin, Fang-Fang; Jackie Wu, Q

2015-01-01

An important challenge facing online adaptive radiation therapy is the development of feasible and efficient quality assurance (QA). This project aimed to validate the deliverability of online adapted plans and develop a proof-of-concept online delivery monitoring system for online adaptive radiation therapy QA. The first part of this project benchmarked automatically online adapted prostate treatment plans using traditional portal dosimetry IMRT QA. The portal dosimetry QA results of online adapted plans were compared to original (unadapted) plans as well as randomly selected prostate IMRT plans from our clinic. In the second part, an online delivery monitoring system was designed and validated via a simulated treatment with intentional multileaf collimator (MLC) errors. This system was based on inputs from the dynamic machine information (DMI), which continuously reports actual MLC positions and machine monitor units (MUs) at intervals of 50 ms or less during delivery. Based on the DMI, the system performed two levels of monitoring/verification during the delivery: (1) dynamic monitoring of cumulative fluence errors resulting from leaf position deviations and visualization using fluence error maps (FEMs); and (2) verification of MLC positions against the treatment plan for potential errors in MLC motion and data transfer at each control point. Validation of the online delivery monitoring system was performed by introducing intentional systematic MLC errors (ranging from 0.5 to 2 mm) to the DMI files for both leaf banks. These DMI files were analyzed by the proposed system to evaluate the system's performance in quantifying errors and revealing the source of errors, as well as to understand patterns in the FEMs. In addition, FEMs from 210 actual prostate IMRT beams were analyzed using the proposed system to further validate its ability to catch and identify errors, as well as establish error magnitude baselines for prostate IMRT delivery. Online adapted plans were found to have similar delivery accuracy in comparison to clinical IMRT plans when validated with portal dosimetry IMRT QA. FEMs for the simulated deliveries with intentional MLC errors exhibited distinct patterns for different MLC error magnitudes and directions, indicating that the proposed delivery monitoring system is highly specific in detecting the source of errors. Implementing the proposed QA system for online adapted plans revealed excellent delivery accuracy: over 99% of leaf position differences were within 0.5 mm, and >99% of pixels in the FEMs had fluence errors within 0.5 MU. Patterns present in the FEMs and MLC control point analysis for actual patient cases agreed with the error pattern analysis results, further validating the system's ability to reveal and differentiate MLC deviations. Calculation of the fluence map based on the DMI was performed within 2 ms after receiving each DMI input. The proposed online delivery monitoring system requires minimal additional resources and time commitment to the current clinical workflow while still maintaining high sensitivity to leaf position errors and specificity to error types. The presented online delivery monitoring system therefore represents a promising QA system candidate for online adaptive radiation therapy.

Tool path strategy and cutting process monitoring in intelligent machining

NASA Astrophysics Data System (ADS)

Chen, Ming; Wang, Chengdong; An, Qinglong; Ming, Weiwei

2018-06-01

Intelligent machining is a current focus in advanced manufacturing technology, and is characterized by high accuracy and efficiency. A central technology of intelligent machining—the cutting process online monitoring and optimization—is urgently needed for mass production. In this research, the cutting process online monitoring and optimization in jet engine impeller machining, cranio-maxillofacial surgery, and hydraulic servo valve deburring are introduced as examples of intelligent machining. Results show that intelligent tool path optimization and cutting process online monitoring are efficient techniques for improving the efficiency, quality, and reliability of machining.

Effects of Online Note Taking Formats and Self-Monitoring Prompts on Learning from Online Text: Using Technology to Enhance Self-Regulated Learning

ERIC Educational Resources Information Center

Kauffman, Douglas F.; Zhao, Ruomeng; Yang, Ya-Shu

2011-01-01

This study explored conditions under which note taking methods and self-monitoring prompts are most effective for facilitating information collection and achievement in an online learning environment. In experiment 1 30 students collected notes from a website using an online conventional, outline, or matrix note taking tool. In experiment 2 119…

An Organizational Development Framework for Assessing Readiness and Capacity for Expanding Online Education

ERIC Educational Resources Information Center

Piña, Anthony A.

2017-01-01

In this article, a popular model for organizational development is utilized as a framework for assessing the organizational readiness and capacity of educational institutions whose leaders wish to establish or expand their online/distance education programs. Examples of institutionalization factors to consider and alternative models for assessing…

Assessing the Ethical and Content Quality of Online Parenting Resources

ERIC Educational Resources Information Center

Suárez-Perdomo, Arminda; Byrne, Sonia; Rodrigo, Maria-José

2018-01-01

The quality of the online resources for parents offering access to open knowledge has hardly received attention despite their increasing number. This paper provides a framework to examine the ethical and content quality of parenting resources. The ethical criteria were based on "the Health on the Net" (HON) framework whereas the content…

Joint Interactions in Large Online Knowledge Communities: The A[subscript 3]C Framework

ERIC Educational Resources Information Center

Jeong, Heisawn; Cress, Ulrike; Moskaliuk, Johannes; Kimmerle, Joachim

2017-01-01

Social interaction is crucial for understanding individual and collective processes in knowledge communities. We describe how technology has changed the way people interact in large communities. Building on this description, we propose a framework that distinguishes four types of joint interactions in online knowledge communities: Attendance,…

Internet Use and Cognitive Development: A Theoretical Framework

ERIC Educational Resources Information Center

Johnson, Genevieve

2006-01-01

The number of children and adolescents accessing the Internet as well as the amount of time online are steadily increasing. The most common online activities include playing video games, accessing web sites, and communicating via chat rooms, email, and instant messaging. A theoretical framework for understanding the effects of Internet use on…

Piecing the Puzzle: A Framework for Developing Intercultural Online Communication Projects in Business Education

ERIC Educational Resources Information Center

Crossman, Joanna; Bordia, Sarbari

2012-01-01

Purpose: The purpose of this paper is to present a framework based on lessons learnt from a recently completed project aimed at developing intercultural online communication competencies in business students. Design/methodology/approach: The project entailed collaboration between students and staff in business communication courses from an…

Coupling online effects-based monitoring with physicochemical, optical, and spectroscopy methods to assess quality at a surface water intake

EPA Science Inventory

Effects-based monitoring of water quality is a proven approach to monitoring the status of a water source. Only biological material can integrate factors which dictate toxicity. Online Toxicity Monitors (OTMs) provide a means to digitize sentinel organism responses to dynamic wa...

Increasing Psychotherapists’ Adoption and Implementation of the Evidence-based Practice of Progress Monitoring

PubMed Central

Persons, Jacqueline B.; Koerner, Kelly; Eidelman, Polina; Thomas, Cannon; Liu, Howard

2015-01-01

Evidence-based practices (EBPs) reach consumers slowly because practitioners are slow to adopt and implement them. We hypothesized that giving psychotherapists a tool + training intervention that was designed to help the therapist integrate the EBP of progress monitoring into his or her usual way of working would be associated with adoption and sustained implementation of the particular progress monitoring tool we trained them to use (the Depression Anxiety Stress Scales on our Online Progress Tracking tool) and would generalize to all types of progress monitoring measures. To test these hypotheses, we developed an online progress monitoring tool and a course that trained psychotherapists to use it, and we assessed progress monitoring behavior in 26 psychotherapists before, during, immediately after, and 12 months after they received the tool and training. Immediately after receiving the tool + training intervention, participants showed statistically significant increases in use of the online tool and of all types of progress monitoring measures. Twelve months later, participants showed sustained use of any type of progress monitoring measure but not the online tool. PMID:26618237

Increasing psychotherapists' adoption and implementation of the evidence-based practice of progress monitoring.

PubMed

Persons, Jacqueline B; Koerner, Kelly; Eidelman, Polina; Thomas, Cannon; Liu, Howard

2016-01-01

Evidence-based practices (EBPs) reach consumers slowly because practitioners are slow to adopt and implement them. We hypothesized that giving psychotherapists a tool + training intervention that was designed to help the therapist integrate the EBP of progress monitoring into his or her usual way of working would be associated with adoption and sustained implementation of the particular progress monitoring tool we trained them to use (the Depression Anxiety Stress Scales on our Online Progress Tracking tool) and would generalize to all types of progress monitoring measures. To test these hypotheses, we developed an online progress monitoring tool and a course that trained psychotherapists to use it, and we assessed progress monitoring behavior in 26 psychotherapists before, during, immediately after, and 12 months after they received the tool and training. Immediately after receiving the tool + training intervention, participants showed statistically significant increases in use of the online tool and of all types of progress monitoring measures. Twelve months later, participants showed sustained use of any type of progress monitoring measure but not the online tool. Copyright © 2015 Elsevier Ltd. All rights reserved.

Online Gambling Advertising Regulations in Spain. A Study on the Protection of Minors.

PubMed

Buil, Pilar; Solé Moratilla, Maria José; García Ruiz, Pablo

2015-09-15

This article examines the online gambling advertising regulations in Spain currently in effect to assess the actual protection of underage youth. In recent years, online gambling among youth has increased. Through advertising, online gambling companies incite and encourage an involvement that can be harmful for vulnerable audiences. Some studies have demonstrated that advertising influences youths' assessment of gambling by increasing its appeal. We demonstrate that the shortcomings of the legal framework in force results in effective vulnerability of minors. We claim that society should seek to implement a regulatory framework to protect children from the risk of developing an addiction.

INTERNATIONAL SOURCE WATER TOXICITY MONITORING CONSORTIUM

EPA Science Inventory

Many researchers in the field of time-relevant, on-line toxicity monitors for source water protection believe that some mechanism to guide and prioritize research in this emerging field would be beneficial. On-line toxicity monitors are tools designed to screen water quality and ...

Online Toxicity Monitors (OTM) for Distribution System Water Quality Monitoring

EPA Science Inventory

Drinking water distribution systems in the U.S. are vulnerable to episodic contamination events (both unintentional and intentional). The U.S. Environmental Protection Agency (EPA) is conducting research to investigate the use of broad-spectrum online toxicity monitors (OTMs) in ...

DOE Office of Scientific and Technical Information (OSTI.GOV)

A. Alfonsi; C. Rabiti; D. Mandelli

The Reactor Analysis and Virtual control ENviroment (RAVEN) code is a software tool that acts as the control logic driver and post-processing engine for the newly developed Thermal-Hydraulic code RELAP-7. RAVEN is now a multi-purpose Probabilistic Risk Assessment (PRA) software framework that allows dispatching different functionalities: Derive and actuate the control logic required to simulate the plant control system and operator actions (guided procedures), allowing on-line monitoring/controlling in the Phase Space Perform both Monte-Carlo sampling of random distributed events and Dynamic Event Tree based analysis Facilitate the input/output handling through a Graphical User Interface (GUI) and a post-processing data miningmore » module« less

Experimental results from the VENUS-F critical reference state for the GUINEVERE accelerator driven system project

DOE Office of Scientific and Technical Information (OSTI.GOV)

Uyttenhove, W.; Baeten, P.; Kochetkov, A.

The GUINEVERE (Generation of Uninterrupted Intense Neutron pulses at the lead Venus Reactor) project was launched in 2006 within the framework of FP6 EUROTRANS in order to validate online reactivity monitoring and subcriticality level determination in accelerator driven systems (ADS). Therefore, the VENUS reactor at SCK.CEN in Mol, Belgium, was modified towards a fast core (VENUS-F) and coupled to the GENEPI-3C accelerator built by CNRS. The accelerator can operate in both continuous and pulsed mode. The VENUS-F core is loaded with enriched Uranium and reflected with solid lead. A well-chosen critical reference state is indispensable for the validation of themore » online subcriticality monitoring methodology. Moreover, a benchmarking tool is required for nuclear data research and code validation. In this paper, the design and the importance of the critical reference state for the GUINEVERE project are motivated. The results of the first experimental phase on the critical core are presented. The control rods worth is determined by the positive period method and the application of the Modified Source Multiplication (MSM) method allows the determination of the worth of the safety rods. The results are implemented in the VENUS-F core certificate for full exploitation of the critical core. (authors)« less

Application of the Golden Software Surfer mapping software for automation of visualisation of meteorological and oceanographic data in IMGW Maritime Branch.

NASA Astrophysics Data System (ADS)

Piliczewski, B.

2003-04-01

The Golden Software Surfer has been used in IMGW Maritime Branch for more than ten years. This tool provides ActiveX Automation objects, which allow scripts to control practically every feature of Surfer. These objects can be accessed from any Automation-enabled environment, such as Visual Basic or Excel. Several applications based on Surfer has been developed in IMGW. The first example is an on-line oceanographic service, which presents forecasts of the water temperature, sea level and currents originating from the HIROMB model and is automatically updated every day. Surfer was also utilised in MERMAID, an international project supported by EC under the 5th Framework Programme. The main aim of this project was to create a prototype of the Internet-based data brokerage system, which would enable to search, extract, buy and download datasets containing meteorological or oceanographic data. During the project IMGW developed an online application, called Mermaid Viewer, which enables communication with the data broker and automatic visualisation of the downloaded data using Surfer. Both the above mentioned applications were developed in Visual Basic. Currently it is considered to adopt Surfer for the monitoring service, which provides access to the data collected in the monitoring of the Baltic Sea environment.

Grounding theories of W(e)Learn: a framework for online interprofessional education.

PubMed

Casimiro, Lynn; MacDonald, Colla J; Thompson, Terrie Lynn; Stodel, Emma J

2009-07-01

Interprofessional care (IPC) is a prerequisite for enhanced communication between healthcare team members, improved quality of care, and better outcomes for patients. A move to an IPC model requires changing the learning experiences of healthcare providers during and after their qualification program. With the rapid growth of online and blended approaches to learning, an educational framework that explains how to construct quality learning events to provide IPC is pressing. Such a framework would offer a quality standard to help educators design, develop, deliver, and evaluate online interprofessional education (IPE) programs. IPE is an extremely delicate process due to issues related to knowledge, status, power, accountability, personality traits, and culture that surround IPC. In this paper, a review of the pertinent literature that would inform the development of such a framework is presented. The review covers IPC, IPE, learning theories, and eLearning in healthcare.

Online Professional Development: A Primer

ERIC Educational Resources Information Center

Bates, Meg S.; Phalen, Lena; Moran, Cheryl

2016-01-01

Many teachers are turning to online professional development to meet their learning needs, but the vast array of available opportunities may be overwhelming. This article provides a framework for making sense of common online teacher learning opportunities. It also suggests situations where online professional development may be most useful and…

Online Interactions and Social Presence in Online Learning

ERIC Educational Resources Information Center

Lee, Sang Joon; Huang, Kun

2018-01-01

The community of inquiry framework identified three essential elements of cognitive, social, and teaching presences for a successful online learning experience. Among them, social presence is key for developing personal relationships and enhancing collaboration and critical discourse in online courses. This study examined whether providing more…

Developing Online Doctoral Programmes

ERIC Educational Resources Information Center

Chipere, Ngoni

2015-01-01

The objectives of the study were to identify best practices in online doctoral programming and to synthesise these practices into a framework for developing online doctoral programmes. The field of online doctoral studies is nascent and presents challenges for conventional forms of literature review. The literature was therefore reviewed using a…

Hadoop-Based Distributed System for Online Prediction of Air Pollution Based on Support Vector Machine

NASA Astrophysics Data System (ADS)

Ghaemi, Z.; Farnaghi, M.; Alimohammadi, A.

2015-12-01

The critical impact of air pollution on human health and environment in one hand and the complexity of pollutant concentration behavior in the other hand lead the scientists to look for advance techniques for monitoring and predicting the urban air quality. Additionally, recent developments in data measurement techniques have led to collection of various types of data about air quality. Such data is extremely voluminous and to be useful it must be processed at high velocity. Due to the complexity of big data analysis especially for dynamic applications, online forecasting of pollutant concentration trends within a reasonable processing time is still an open problem. The purpose of this paper is to present an online forecasting approach based on Support Vector Machine (SVM) to predict the air quality one day in advance. In order to overcome the computational requirements for large-scale data analysis, distributed computing based on the Hadoop platform has been employed to leverage the processing power of multiple processing units. The MapReduce programming model is adopted for massive parallel processing in this study. Based on the online algorithm and Hadoop framework, an online forecasting system is designed to predict the air pollution of Tehran for the next 24 hours. The results have been assessed on the basis of Processing Time and Efficiency. Quite accurate predictions of air pollutant indicator levels within an acceptable processing time prove that the presented approach is very suitable to tackle large scale air pollution prediction problems.

Online analysis of protein inclusion bodies produced in E. coli by monitoring alterations in scattered and reflected light.

PubMed

Ude, Christian; Ben-Dov, Nadav; Jochums, André; Li, Zhaopeng; Segal, Ester; Scheper, Thomas; Beutel, Sascha

2016-05-01

The online monitoring of recombinant protein aggregate inclusion bodies during microbial cultivation is an immense challenge. Measurement of scattered and reflected light offers a versatile and non-invasive measurement technique. Therefore, we investigated two methods to detect the formation of inclusion bodies and monitor their production: (1) online 180° scattered light measurement (λ = 625 nm) using a sensor platform during cultivation in shake flask and (2) online measurement of the light reflective interference using a porous Si-based optical biosensor (SiPA). It could be shown that 180° scattered light measurement allows monitoring of alterations in the optical properties of Escherichia coli BL21 cells, associated with the formation of inclusion bodies during cultivation. A reproducible linear correlation between the inclusion body concentration of the non-fluorescent protein human leukemia inhibitory factor (hLIF) carrying a thioredoxin tag and the shift ("Δamp") in scattered light signal intensity was observed. This was also observed for the glutathione-S-transferase-tagged green fluorescent protein (GFP-GST). Continuous online monitoring of reflective interference spectra reveals a significant increase in the bacterium refractive index during hLIF production in comparison to a non-induced reference that coincide with the formation of inclusion bodies. These online monitoring techniques could be applied for fast and cost-effective screening of different protein expression systems.

A Conceptual Framework for Evaluating Attrition in Online Courses

ERIC Educational Resources Information Center

Laing, C. Linda; Laing, Gregory K.

2015-01-01

The purpose of this paper is to develop a conceptual framework that considers the role that the sense of isolation and alienation play in contributing to attrition in online courses in the higher education sector. The approach adopted in this paper is a theoretical study aimed at synthesizing existing theories. The ultimate contribution of this…

A New Framework for Massive Open Online Courses (MOOCs)

ERIC Educational Resources Information Center

Schoenack, Lindsie

2013-01-01

The challenges that massive open online courses (MOOCs) bring to the learning arena spur adult educators to improve delivery. A framework for a new type of MOOC is presented to address some of the challenges presented by earlier models. This new MOOC, called a mesoMOOC, can bridge several challenges that hinder current effective delivery of MOOCs…

A Theoretical Framework for Organizing the Effect of the Internet on Cognitive Development

ERIC Educational Resources Information Center

Johnson, Genevieve Marie

2006-01-01

The number of children and adolescents accessing the Internet as well as the amount of time online are steadily increasing. The most common online activities include playing video games, navigating web sites, and communicating via chat rooms, email, and instant messaging. A theoretical framework for understanding the effects of Internet use on…

Development and Application of On-line Monitor for the ZLW-1 Axis Cracks

NASA Astrophysics Data System (ADS)

Shi-jun, Yang; Qian-hui, Yang; Jian-guo, Jin

2018-03-01

This article mainly introduces a method that uses acoustic emission techniques to achieve on-line monitor for the shaft cracks and crack growth. According to this method, axis crack monitor is produced by acoustic emission techniques. This instrument can apply to all the pressure vessels, pipelines and rotor machines that can bear buckling load. It has the online real-time monitoring, automatic recording, printing, sound and light alarm, collecting crack information function. After a series of tests in both laboratory and field, it shows that this instrument is very versatile and possesses broad prospects of development and application.

Dynamic Analyses of Result Quality in Energy-Aware Approximate Programs

NASA Astrophysics Data System (ADS)

RIngenburg, Michael F.

Energy efficiency is a key concern in the design of modern computer systems. One promising approach to energy-efficient computation, approximate computing, trades off output precision for energy efficiency. However, this tradeoff can have unexpected effects on computation quality. This thesis presents dynamic analysis tools to study, debug, and monitor the quality and energy efficiency of approximate computations. We propose three styles of tools: prototyping tools that allow developers to experiment with approximation in their applications, online tools that instrument code to determine the key sources of error, and online tools that monitor the quality of deployed applications in real time. Our prototyping tool is based on an extension to the functional language OCaml. We add approximation constructs to the language, an approximation simulator to the runtime, and profiling and auto-tuning tools for studying and experimenting with energy-quality tradeoffs. We also present two online debugging tools and three online monitoring tools. The first online tool identifies correlations between output quality and the total number of executions of, and errors in, individual approximate operations. The second tracks the number of approximate operations that flow into a particular value. Our online tools comprise three low-cost approaches to dynamic quality monitoring. They are designed to monitor quality in deployed applications without spending more energy than is saved by approximation. Online monitors can be used to perform real time adjustments to energy usage in order to meet specific quality goals. We present prototype implementations of all of these tools and describe their usage with several applications. Our prototyping, profiling, and autotuning tools allow us to experiment with approximation strategies and identify new strategies, our online tools succeed in providing new insights into the effects of approximation on output quality, and our monitors succeed in controlling output quality while still maintaining significant energy efficiency gains.

Prescription Drugs

MedlinePlus

... View Online Download PDF Monitoring the Future 2017 Survey Results Published: December 12, 2017 This infographic of ... View Online Download PDF Monitoring the Future 2016 Survey Results Published: December 13, 2016 This infographic of ...

Creating Successful Professional Development Activities for Online Faculty: A Reorganized Framework

ERIC Educational Resources Information Center

Scarpena, Kathleen; Riley, Michele; Keathley, Michael

2018-01-01

In the online environment, faculty engagement in the form of professional development takes on a new significance. Online programs hold strategic importance and growth opportunities for institutions, and therefore universities need faculty members who are engaged and effectively teaching in the online environment (Allen & Seaman, 2013, 2016;…

Factors Affecting Online Groupwork Interest: A Multilevel Analysis

ERIC Educational Resources Information Center

Du, Jianxia; Xu, Jianzhong; Fan, Xitao

2013-01-01

The purpose of the present study is to examine the personal and contextual factors that may affect students' online groupwork interest. Using the data obtained from graduate students in an online course, both student- and group-level predictors for online groupwork interest were analyzed within the framework of hierarchical linear modeling…

Best Practices Framework for Online Faculty Professional Development: A Delphi Study

ERIC Educational Resources Information Center

Mohr, Sandra Coswatte; Shelton, Kaye

2017-01-01

Online learning is now a common practice in higher education. Because of the continued online enrollment growth, higher educational institutions must prepare faculty throughout their teaching career for learning theory, technical expertise, and pedagogical shifts for teaching in the online environment. This study presents best practices for…

Vibration Sensor Monitoring of Nickel-Titanium Alloy Turning for Machinability Evaluation.

PubMed

Segreto, Tiziana; Caggiano, Alessandra; Karam, Sara; Teti, Roberto

2017-12-12

Nickel-Titanium (Ni-Ti) alloys are very difficult-to-machine materials causing notable manufacturing problems due to their unique mechanical properties, including superelasticity, high ductility, and severe strain-hardening. In this framework, the aim of this paper is to assess the machinability of Ni-Ti alloys with reference to turning processes in order to realize a reliable and robust in-process identification of machinability conditions. An on-line sensor monitoring procedure based on the acquisition of vibration signals was implemented during the experimental turning tests. The detected vibration sensorial data were processed through an advanced signal processing method in time-frequency domain based on wavelet packet transform (WPT). The extracted sensorial features were used to construct WPT pattern feature vectors to send as input to suitably configured neural networks (NNs) for cognitive pattern recognition in order to evaluate the correlation between input sensorial information and output machinability conditions.

Vibration Sensor Monitoring of Nickel-Titanium Alloy Turning for Machinability Evaluation

PubMed Central

Segreto, Tiziana; Karam, Sara; Teti, Roberto

2017-01-01

Nickel-Titanium (Ni-Ti) alloys are very difficult-to-machine materials causing notable manufacturing problems due to their unique mechanical properties, including superelasticity, high ductility, and severe strain-hardening. In this framework, the aim of this paper is to assess the machinability of Ni-Ti alloys with reference to turning processes in order to realize a reliable and robust in-process identification of machinability conditions. An on-line sensor monitoring procedure based on the acquisition of vibration signals was implemented during the experimental turning tests. The detected vibration sensorial data were processed through an advanced signal processing method in time-frequency domain based on wavelet packet transform (WPT). The extracted sensorial features were used to construct WPT pattern feature vectors to send as input to suitably configured neural networks (NNs) for cognitive pattern recognition in order to evaluate the correlation between input sensorial information and output machinability conditions. PMID:29231864

Real time damage detection using recursive principal components and time varying auto-regressive modeling

NASA Astrophysics Data System (ADS)

Krishnan, M.; Bhowmik, B.; Hazra, B.; Pakrashi, V.

2018-02-01

In this paper, a novel baseline free approach for continuous online damage detection of multi degree of freedom vibrating structures using Recursive Principal Component Analysis (RPCA) in conjunction with Time Varying Auto-Regressive Modeling (TVAR) is proposed. In this method, the acceleration data is used to obtain recursive proper orthogonal components online using rank-one perturbation method, followed by TVAR modeling of the first transformed response, to detect the change in the dynamic behavior of the vibrating system from its pristine state to contiguous linear/non-linear-states that indicate damage. Most of the works available in the literature deal with algorithms that require windowing of the gathered data owing to their data-driven nature which renders them ineffective for online implementation. Algorithms focussed on mathematically consistent recursive techniques in a rigorous theoretical framework of structural damage detection is missing, which motivates the development of the present framework that is amenable for online implementation which could be utilized along with suite experimental and numerical investigations. The RPCA algorithm iterates the eigenvector and eigenvalue estimates for sample covariance matrices and new data point at each successive time instants, using the rank-one perturbation method. TVAR modeling on the principal component explaining maximum variance is utilized and the damage is identified by tracking the TVAR coefficients. This eliminates the need for offline post processing and facilitates online damage detection especially when applied to streaming data without requiring any baseline data. Numerical simulations performed on a 5-dof nonlinear system under white noise excitation and El Centro (also known as 1940 Imperial Valley earthquake) excitation, for different damage scenarios, demonstrate the robustness of the proposed algorithm. The method is further validated on results obtained from case studies involving experiments performed on a cantilever beam subjected to earthquake excitation; a two-storey benchscale model with a TMD and, data from recorded responses of UCLA factor building demonstrate the efficacy of the proposed methodology as an ideal candidate for real time, reference free structural health monitoring.

Variation of Kozinets' framework and application to nursing research.

PubMed

Witney, Cynthia; Hendricks, Joyce; Cope, Vicki

2016-05-01

Online communities are new sites for undertaking research, with their textual interactions providing a rich source of data in real time. 'Ethnonetnography' is a research methodology based on ethnography that can be used in these online communities. In this study, the researcher and a specialist breast care nurse (SBCN) were immersed in the online community, adding to patients' breast cancer care and providing a nursing research component to the community. To examine Kozinets' ( 2010 ) framework for ethnonetnography and how it may be varied for use in a purpose-built, disease-specific, online support community. The online community provided an area where members could communicate with each other. Kozinets' ( 2010 ) framework was varied in that the research was carried out in a purpose-built community opf which an SBCN was a member who could provide support and advice. The application of the ethnonetnographic methodology has wide implications for clinical nursing practice and research. Ethnonetnography can be used to study disease-specific communities in a focused manner and can provide immediate benefits through the inclusion of an expert nurse and contemporaneous application of research findings to patient care. With ethical permission and the permission of online community members, nurse researchers can enter already established online communities. Ethnonetnography is ideally suited to nursing research as it provides the immediacy of evidence-based interaction with an expert nurse. These real-time responses improve support for those experiencing a critical life event.

Using an Online Tool for Learning about and Implementing Algebra Progress Monitoring

ERIC Educational Resources Information Center

Foegen, Anne; Stecker, Pamela M.; Genareo, Vincent R.; Lyons, Renée; Olson, Jeannette R.; Simpson, Amber; Romig, John Elwood; Jones, Rachel

2016-01-01

Research supports special educators' use of progress-monitoring data for instructional decision-making purposes as an evidence-based practice for improving student achievement. This article describes the Professional Development for Algebra Progress Monitoring (PD-APM) system. PD-APM, is an online system that includes two "hubs" that…

Adapting the Community of Inquiry Survey for an Online Graduate Program: Implications for Online Programs

ERIC Educational Resources Information Center

Kumar, Swapna; Ritzhaupt, Albert D.

2014-01-01

A cohort-based online professional doctorate program that consisted of both online coursework and research activities was designed using Garrison et al's community of inquiry (CoI) framework. The evaluation of the program proved a challenge because all existing CoI assessment methods in the past have dealt with online courses, not with online…

What Role Does Knowledge Quality Play in Online Students' Satisfaction, Learning and Loyalty? An Empirical Investigation in an eLearning Context

ERIC Educational Resources Information Center

Waheed, M.; Kaur, K.; Kumar, S.

2016-01-01

Quality knowledge has an impact on online students learning outcomes and loyalty. A framework that delineates the perceived eLearning knowledge quality (KQ) and its relationship with learning outcomes and loyalty is currently absent. Grounded in the KQ and information system success framework--this study presents the indicators of perceived…

A Review of Internship Opportunities in Online Learning: Building a New Conceptual Framework for a Self-Regulated Internship in Hospitality

ERIC Educational Resources Information Center

Roy, Jan; Sykes, Diane

2017-01-01

The primary purpose of the article was to build a framework for an innovative approach to online internships after examining best practices in hospitality internships. Learning the ins and outs of an industry virtually, using contemporary internship methods strengthens the student's expertise and better prepares them for future workplace…

Presence+Experience: A Framework for the Purposeful Design of Presence in Online Courses

ERIC Educational Resources Information Center

Dunlap, Joanna C.; Verma, Geeta; Johnson, Heather Lynn

2016-01-01

In this article, we share a framework for the purposeful design of presence in online courses. Instead of developing something new, we looked at two models that have helped us with previous instructional design projects, providing us with some assurance that the design decisions we were making were fundamentally sound. As we began to work with the…

A Comparison of Product Realization Frameworks

DTIC Science & Technology

1993-10-01

software (integrated FrameMaker ). Also included are BOLD for on-line documentation delivery, printer/plotter support, and 18 network licensing support. AMPLE...are built with DSS. Documentation tools include an on-line information system (BOLD), text editing (Notepad), word processing (integrated FrameMaker ...within an application. FrameMaker is fully integrated with the Falcon Framework to provide consistent documentation capabilities within engineering

Rethinking Task Design for the Digital Age: A Framework for Language Teaching and Learning in a Synchronous Online Environment

ERIC Educational Resources Information Center

Hampel, Regina

2006-01-01

This article discusses a framework for the development of tasks in a synchronous online environment used for language learning and teaching. It shows how a theoretical approach based on second language acquisition (SLA) principles, sociocultural and constructivist theories, and concepts taken from research on multimodality and new literacies, can…

The Policy Framework for Online Charter Schools

ERIC Educational Resources Information Center

Pazhouh, Rosa; Lake, Robin; Miller, Larry

2015-01-01

Online charter schools, charter schools that primarily utilize remote online instruction, have been both popular and controversial. As of October 2015, fully online charter schools operate in 26 (soon to be 27) states and enrolled approximately 200,000 students in the 2013-14 school year, comprising over 8 percent of all public charter school…

Examining the Elements of Online Learning Quality in a Fully Online Doctoral Program

ERIC Educational Resources Information Center

Templeton, Nathan R.; Ballenger, Julia N.; Thompson, J. Ray

2015-01-01

The purpose of this descriptive quantitative study was to examine the quality elements of online learning in a regional doctoral program. Utilizing the six quality dimensions of Hathaway's (2009) theory of online learning quality as a framework, the study investigated instructor-learner, learner-learner, learner-content, learner-interface,…

Building a Conceptual Framework for Online Educator Dispositions

ERIC Educational Resources Information Center

Kirwan, Jeral R.; Roumell, Elizabeth Anne

2015-01-01

It has been argued that online instruction is distinctive from the conventional classroom. If an effective online practice is to emerge, the roles, characteristics and dispositions of the educators themselves should be studied more closely. The aim of this paper was to present an online educator dispositions model that addresses the underlying…

Further Classification and Methodological Considerations of Evaluations for Online Discussion in Instructional Settings

ERIC Educational Resources Information Center

Spatariu, Alexandru; Winsor, Denise L.; Simpson, Cynthia; Hosman, Eric

2016-01-01

With the rapid advancements of technology, online communication in both K-12 and post-secondary instruction has been widely implemented. Instructors as well as researchers have used various frameworks to evaluate different aspects of online discussions' quality. The online discussions take place synchronously or asynchronously in chat rooms,…

A user-centred methodology for designing an online social network to motivate health behaviour change.

PubMed

Kamal, Noreen; Fels, Sidney

2013-01-01

Positive health behaviour is critical to preventing illness and managing chronic conditions. A user-centred methodology was employed to design an online social network to motivate health behaviour change. The methodology was augmented by utilizing the Appeal, Belonging, Commitment (ABC) Framework, which is based on theoretical models for health behaviour change and use of online social networks. The user-centred methodology included four phases: 1) initial user inquiry on health behaviour and use of online social networks; 2) interview feedback on paper prototypes; 2) laboratory study on medium fidelity prototype; and 4) a field study on the high fidelity prototype. The points of inquiry through these phases were based on the ABC Framework. This yielded an online social network system that linked to external third party databases to deploy to users via an interactive website.

Online Action Monitoring and Memory for Self-Performed Actions in Autism Spectrum Disorder

ERIC Educational Resources Information Center

Grainger, Catherine; Williams, David M.; Lind, Sophie E.

2014-01-01

This study explored whether individuals with autism spectrum disorder (ASD) experience difficulties with action monitoring. Two experimental tasks examined whether adults with ASD are able to monitor their own actions online, and whether they also show a typical enactment effects in memory (enhanced memory for actions they have performed compared…

Evaluation for Bearing Wear States Based on Online Oil Multi-Parameters Monitoring

PubMed Central

Hu, Hai-Feng

2018-01-01

As bearings are critical components of a mechanical system, it is important to characterize their wear states and evaluate health conditions. In this paper, a novel approach for analyzing the relationship between online oil multi-parameter monitoring samples and bearing wear states has been proposed based on an improved gray k-means clustering model (G-KCM). First, an online monitoring system with multiple sensors for bearings is established, obtaining oil multi-parameter data and vibration signals for bearings through the whole lifetime. Secondly, a gray correlation degree distance matrix is generated using a gray correlation model (GCM) to express the relationship of oil monitoring samples at different times and then a KCM is applied to cluster the matrix. Analysis and experimental results show that there is an obvious correspondence that state changing coincides basically in time between the lubricants’ multi-parameters and the bearings’ wear states. It also has shown that online oil samples with multi-parameters have early wear failure prediction ability for bearings superior to vibration signals. It is expected to realize online oil monitoring and evaluation for bearing health condition and to provide a novel approach for early identification of bearing-related failure modes. PMID:29621175

Evaluation for Bearing Wear States Based on Online Oil Multi-Parameters Monitoring.

PubMed

Wang, Si-Yuan; Yang, Ding-Xin; Hu, Hai-Feng

2018-04-05

As bearings are critical components of a mechanical system, it is important to characterize their wear states and evaluate health conditions. In this paper, a novel approach for analyzing the relationship between online oil multi-parameter monitoring samples and bearing wear states has been proposed based on an improved gray k-means clustering model (G-KCM). First, an online monitoring system with multiple sensors for bearings is established, obtaining oil multi-parameter data and vibration signals for bearings through the whole lifetime. Secondly, a gray correlation degree distance matrix is generated using a gray correlation model (GCM) to express the relationship of oil monitoring samples at different times and then a KCM is applied to cluster the matrix. Analysis and experimental results show that there is an obvious correspondence that state changing coincides basically in time between the lubricants' multi-parameters and the bearings' wear states. It also has shown that online oil samples with multi-parameters have early wear failure prediction ability for bearings superior to vibration signals. It is expected to realize online oil monitoring and evaluation for bearing health condition and to provide a novel approach for early identification of bearing-related failure modes.

Learning to Teach Online: A Systematic Review of the Literature on K-12 Teacher Preparation for Teaching Online

ERIC Educational Resources Information Center

Moore-Adams, Brianne L.; Jones, W. Monty; Cohen, Jonathan

2016-01-01

There is a growing need for qualified online instructors to teach the expanding population of online K-12 students. To meet this need, teachers must be provided learning opportunities to acquire the specific types of knowledge and skills necessary to teach online. In this systematic review of the literature, we utilize the TPACK framework to…

Cough and Cold Medicine (DXM and Codeine Syrup)

MedlinePlus

... View Online Download PDF Monitoring the Future 2017 Survey Results Published: December 12, 2017 This infographic of ... View Online Download PDF Monitoring the Future 2016 Survey Results Published: December 13, 2016 This infographic of ...

On-line Monitoring Device for High-voltage Switch Cabinet Partial Discharge Based on Pulse Current Method

NASA Astrophysics Data System (ADS)

Y Tao, S.; Zhang, X. Z.; Cai, H. W.; Li, P.; Feng, Y.; Zhang, T. C.; Li, J.; Wang, W. S.; Zhang, X. K.

2017-12-01

The pulse current method for partial discharge detection is generally applied in type testing and other off-line tests of electrical equipment at delivery. After intensive analysis of the present situation and existing problems of partial discharge detection in switch cabinets, this paper designed the circuit principle and signal extraction method for partial discharge on-line detection based on a high-voltage presence indicating systems (VPIS), established a high voltage switch cabinet partial discharge on-line detection circuit based on the pulse current method, developed background software integrated with real-time monitoring, judging and analyzing functions, carried out a real discharge simulation test on a real-type partial discharge defect simulation platform of a 10KV switch cabinet, and verified the sensitivity and validity of the high-voltage switch cabinet partial discharge on-line monitoring device based on the pulse current method. The study presented in this paper is of great significance for switch cabinet maintenance and theoretical study on pulse current method on-line detection, and has provided a good implementation method for partial discharge on-line monitoring devices for 10KV distribution network equipment.

Developing a Community of Inquiry in a Face-to-Face Class: How an Online Learning Framework Can Enrich Traditional Classroom Practice

ERIC Educational Resources Information Center

Warner, Alfred G.

2016-01-01

Traditional classes are typically bound both in the classroom space and scheduled time. In this article, I show how applying an online learning framework called the Community of Inquiry and an organizational architecture of matrixed teams has worked in a face-to-face capstone class and extended those boundaries. These were introduced as an…

Design of a tracking device for on-line dose monitoring in hadrontherapy

NASA Astrophysics Data System (ADS)

Battistoni, G.; Collamati, F.; De Lucia, E.; Faccini, R.; Marafini, M.; Mattei, I.; Muraro, S.; Paramatti, R.; Patera, V.; Pinci, D.; Rucinski, A.; Russomando, A.; Sarti, A.; Sciubba, A.; Solfaroli Camillocci, E.; Toppi, M.; Traini, G.; Voena, C.

2017-02-01

Hadrontherapy is a technique for cancer treatment that exploits ion beams (mostly protons and carbons). A critical issue is the accuracy that is achievable when monitoring the dose released by the beam to the tumor and to the surrounding tissues. We present the design of a tracking device, developed in the framework of the INSIDE project [1], capable of monitoring in real time the longitudinal profile of the dose delivered in the patient. This is possible by detecting the secondary particles produced by the interaction of the beam in the tissues. The position of the Bragg peak can be correlated to the charged particles emission point distribution measurement. The tracking device will be able to provide a fast response on the dose pattern by tracking the secondary charged fragments. The tracks are detected using 6 planes of scintillating fibers, providing the 3D coordinates of the track intersection with each plane. The fibers planes are followed by a plastic scintillator and by a small calorimeter built with a pixelated Lutetium Fine Silicate (LFS) crystal. A complete detector simulation, followed by the event reconstruction, has been performed to determine the achievable monitoring spatial resolution.

Nursing and Twitter: creating an online community using hashtags.

PubMed

Moorley, Calvin R; Chinn, Teresa

2014-01-01

Social media is becoming a facet of our lives and a tool for connecting, uniting and supporting people. Its use is growing in nursing, medical and health settings. This article describes the process, development and growth of an online community to connect nurses via Twitter using hashtags. Data was analysed to identify the benefits, barriers and enablers for the creation of an online nursing community. Methods consisted of key word searches in Twitter relevant to nursing, visits to the WeNurses website and tracking the number of followers on the website. A social media monitoring tool (SM2) was used to monitor visibility to establish baseline data and identify trends. WeNurses was launched in July 2012 and has over 7000 followers. Visits to the website are between 500 and 1500 each day. The use of a systematic nursing approach including the key principles of both nursing and social media (honesty, transparency, listening and reacting) helped to create and develop an online nursing community. It was found that WeNurses provides a platform for nurses to discuss issues in nursing, or complain about reforms. Nurses are free to question on how they can improve skills and contemplate their understanding of changes in the health service. Enablers included a committed group who openly discussed their thoughts, opinions and practices, a shared identity, an understanding each other's perspective and ownership by members. Using a nursing framework in a digital space added a unique dimension that resonated with members and provided a structured approach to the project. Nurses have begun to not only embrace social media but also use it for their own development. Health employers also need to encourage use of social media to help develop expertise, experience and knowledge in nurses and nursing practice. Social media can provide a social and professional space for nurses, and has potential to influence the health and wellness of different population groups involved in both giving and receiving nursing care.

Internet marketing 401.

PubMed

Miller, Ryan J

2010-11-01

For facial plastic surgeons who are already realizing increased patient consultation requests from their online marketing efforts, the primary concern often becomes implementing additional tactics and strategies that can keep their online marketing fresh, relevant, and effective. This article creates a framework for evaluating advanced online marketing opportunities by analyzing each opportunity according to the variables of possible return, average cost to implement, probability of success, and implementation time. Within this framework, 11 distinct tactics are discussed, with special emphasis on the most common marketing needs and challenges of facial plastic surgery practices. Copyright © 2010 Elsevier Inc. All rights reserved.

Measuring Teachers and Learners' Perceptions of the Quality of Their Online Learning Experience

ERIC Educational Resources Information Center

Gómez-Rey, Pilar; Barbera, Elena; Fernández-Navarro, Francisco

2016-01-01

This article explores the quality of the online learning experience based on the Sloan-C framework and the Online Learning Consortium's (OLC) quality scorecard. The OLC index has been implemented to evaluate quality in online programs from different perspectives. Despite this, the opinions of learners are ignored, and it is built using feedback…

Object Oriented Learning Objects in Online Education: A Framework and Example.

ERIC Educational Resources Information Center

Rincon, Lilian; Parker, Drew

Online learning is coming of age in both postsecondary education and industry. The courses now offered online range from kinesiology to mathematics to complete M.B.A. programs. The growing popularity of online education has created a need to reduce costs without diminishing the value of the edification. In response to this need, an instructional…

Community of Inquiry and Video in Higher Education: Engaging Students Online

ERIC Educational Resources Information Center

Conrad, Oliver

2015-01-01

The purpose of this literature review was to explore how video technology can be effectively used in an online classroom setting. The author found and cited online journals with information about the Community of Inquiry (CoI) framework. He further explored specific sources that could give readers an idea how online video technology can affect…

Sex Differences in Attitudes towards Online Privacy and Anonymity among Israeli Students with Different Technical Backgrounds

ERIC Educational Resources Information Center

Weinberger, Maor; Zhitomirsky-Geffet, Maayan; Bouhnik, Dan

2017-01-01

Introduction: In this exploratory study, we proposed an experimental framework to investigate and model male/female differences in attitudes towards online privacy and anonymity among Israeli students. Our aim was to comparatively model men and women's online privacy attitudes, and to assess the online privacy gender gap. Method: Various factors…

Issues and Challenges for Teaching Successful Online Courses in Higher Education: A Literature Review

ERIC Educational Resources Information Center

Kebritchi, Mansureh; Lipschuetz, Angie; Santiague, Lilia

2017-01-01

Online education changes all components of teaching and learning in higher education. Many empirical studies have been conducted to examine issues in delivering online courses; however, few have synthesized prior studies and provided an overview on issues in online courses. A review of literature using Cooper's framework was conducted to identify…

Analysis of Online Social Networks to Understand Information Sharing Behaviors Through Social Cognitive Theory.

PubMed

Yoon, Hong-Jun; Tourassi, Georgia

2014-05-01

Analyzing the contents of online social networks is an effective process for monitoring and understanding peoples' behaviors. Since the nature of conversation and information propagation is similar to traditional conversation and learning, one of the popular socio-cognitive methods, social cognitive theory was applied to online social networks to. Two major news topics about colon cancer were chosen to monitor traffic of Twitter messages. The activity of "leaders" on the issue (i.e., news companies or people will prior Twitter activity on topics related to colon cancer) was monitored. In addition, the activity of "followers", people who never discussed the topics before, but replied to the discussions was also monitored. Topics that produce tangible benefits such as positive outcomes from appropriate preventive actions received dramatically more attention and online social media traffic. Such characteristics can be explained with social cognitive theory and thus present opportunities for effective health campaigns.

Development and pilot testing of an online monitoring tool of depression symptoms and side effects for young people being treated for depression.

PubMed

Hetrick, Sarah E; Dellosa, Maria Kristina; Simmons, Magenta B; Phillips, Lisa

2015-02-01

To develop and examine the feasibility of an online monitoring tool of depressive symptoms, suicidality and side effects. The online tool was developed based on guideline recommendations, and employed already validated and widely used measures. Quantitative data about its use, and qualitative information on its functionality and usefulness were collected from surveys, a focus group and individual interviews. Fifteen young people completed the tool between 1 and 12 times, and reported it was easy to use. Clinicians suggested it was too long and could be completed in the waiting room to lessen impact on session time. Overall, clients and clinicians who used the tool found it useful. Results show that an online monitoring tool is potentially useful as a systematic means for monitoring symptoms, but further research is needed including how to embed the tool within clinical practice. © 2014 Wiley Publishing Asia Pty Ltd.

Implementation science and the pregnancy risk assessment monitoring system.

PubMed

Grigorescu, Violanda I; D'Angelo, Denise V; Harrison, Leslie L; Taraporewalla, Aspy J; Shulman, Holly; Smith, Ruben A

2014-12-01

This paper describes the restructuring of the Pregnancy Risk Assessment Monitoring System (PRAMS), a surveillance system of the Centers for Disease Control and Prevention (CDC)'s Division of Reproductive Health conducted for 25 years in collaboration with state and city health departments. With the ultimate goal to better inform health care providers, public health programs, and policy, changes were made to various aspects of PRAMS to enhance its capacity on assessing and monitoring public health interventions and clinical practices in addition to risk behaviors, disease prevalence, comorbidities, and service utilization. Specifically, the three key PRAMS changes identified as necessary and described in this paper are questionnaire revision, launching the web-based centralized PRAMS Integrated Data Collection System, and enhancing the access to PRAMS data through the web query system known as Centers for Disease Control and Prevention's PRAMS Online Data for Epidemiologic Research/PRAMStat. The seven action steps of Knowledge To Action cycle, an illustration of the implementation science process, that reflect the milestones necessary in bridging the knowledge-to-action gap were used as framework for each of these key changes.

Tsunami Forecasting and Monitoring in New Zealand

NASA Astrophysics Data System (ADS)

Power, William; Gale, Nora

2011-06-01

New Zealand is exposed to tsunami threats from several sources that vary significantly in their potential impact and travel time. One route for reducing the risk from these tsunami sources is to provide advance warning based on forecasting and monitoring of events in progress. In this paper the National Tsunami Warning System framework, including the responsibilities of key organisations and the procedures that they follow in the event of a tsunami threatening New Zealand, are summarised. A method for forecasting threat-levels based on tsunami models is presented, similar in many respects to that developed for Australia by Allen and Greenslade (Nat Hazards 46:35-52, 2008), and a simple system for easy access to the threat-level forecasts using a clickable pdf file is presented. Once a tsunami enters or initiates within New Zealand waters, its progress and evolution can be monitored in real-time using a newly established network of online tsunami gauge sensors placed at strategic locations around the New Zealand coasts and offshore islands. Information from these gauges can be used to validate and revise forecasts, and assist in making the all-clear decision.

Design, implementation and validation of a novel open framework for agile development of mobile health applications.

PubMed

Banos, Oresti; Villalonga, Claudia; Garcia, Rafael; Saez, Alejandro; Damas, Miguel; Holgado-Terriza, Juan A; Lee, Sungyong; Pomares, Hector; Rojas, Ignacio

2015-01-01

The delivery of healthcare services has experienced tremendous changes during the last years. Mobile health or mHealth is a key engine of advance in the forefront of this revolution. Although there exists a growing development of mobile health applications, there is a lack of tools specifically devised for their implementation. This work presents mHealthDroid, an open source Android implementation of a mHealth Framework designed to facilitate the rapid and easy development of mHealth and biomedical apps. The framework is particularly planned to leverage the potential of mobile devices such as smartphones or tablets, wearable sensors and portable biomedical systems. These devices are increasingly used for the monitoring and delivery of personal health care and wellbeing. The framework implements several functionalities to support resource and communication abstraction, biomedical data acquisition, health knowledge extraction, persistent data storage, adaptive visualization, system management and value-added services such as intelligent alerts, recommendations and guidelines. An exemplary application is also presented along this work to demonstrate the potential of mHealthDroid. This app is used to investigate on the analysis of human behavior, which is considered to be one of the most prominent areas in mHealth. An accurate activity recognition model is developed and successfully validated in both offline and online conditions.

Effects of Online Synchronous Instruction with an Attention Monitoring and Alarm Mechanism on Sustained Attention and Learning Performance

ERIC Educational Resources Information Center

Chen, Chih-Ming; Wang, Jung-Ying

2018-01-01

Many studies have shown that learners' sustained attention strongly affects e-learning performance, particularly during online synchronous instruction. This work thus develops a novel attention monitoring and alarm mechanism (AMAM) based on brainwave signals to improve learning performance via monitoring the attention state of individual learners…

Enhancing P3P Framework through Policies and Trust

DTIC Science & Technology

2005-01-01

existing online review/rating systems are geared towards customer satisfaction in online shopping domain, we believe that in the future privacy will...ablers of online shopping to tracking of user browsing behavior. Though cookies are browser dependent, they are independent of internet service provider

Initiating an Online Reputation Monitoring System with Open Source Analytics Tools

NASA Astrophysics Data System (ADS)

Shuhud, Mohd Ilias M.; Alwi, Najwa Hayaati Md; Halim, Azni Haslizan Abd

2018-05-01

Online reputation is an invaluable asset for modern organizations as it can help in business performance especially in sales and profit. However, if we are not aware of our reputation, it is difficult to maintain it. Thus, social media analytics is a new tool that can provide online reputation monitoring in various ways such as sentiment analysis. As a result, numerous large-scale organizations have implemented Online Reputation Monitoring (ORM) systems. However, this solution is not supposed to be exclusively for high-income organizations, as many organizations regardless sizes and types are now online. This research attempts to propose an affordable and reliable ORM system using combination of open source analytics tools for both novice practitioners and academicians. We also evaluate its prediction accuracy and we discovered that the system provides acceptable predictions (sixty percent accuracy) and demonstrate a tally prediction of major polarity by human annotation. The proposed system can help in supporting business decisions with flexible monitoring strategies especially for organization that want to initiate and administrate ORM themselves at low cost.

Research on a Lamb Wave and Particle Filter-Based On-Line Crack Propagation Prognosis Method.

PubMed

Chen, Jian; Yuan, Shenfang; Qiu, Lei; Cai, Jian; Yang, Weibo

2016-03-03

Prognostics and health management techniques have drawn widespread attention due to their ability to facilitate maintenance activities based on need. On-line prognosis of fatigue crack propagation can offer information for optimizing operation and maintenance strategies in real-time. This paper proposes a Lamb wave-particle filter (LW-PF)-based method for on-line prognosis of fatigue crack propagation which takes advantages of the possibility of on-line monitoring to evaluate the actual crack length and uses a particle filter to deal with the crack evolution and monitoring uncertainties. The piezoelectric transducers (PZTs)-based active Lamb wave method is adopted for on-line crack monitoring. The state space model relating to crack propagation is established by the data-driven and finite element methods. Fatigue experiments performed on hole-edge crack specimens have validated the advantages of the proposed method.

Studying and Facilitating Dialogue in Select Online Management Courses

ERIC Educational Resources Information Center

Ivancevich, John M.; Gilbert, Jacqueline A.; Konopaske, Robert

2009-01-01

Dialogue is arguably one of the most significant elements of learning in higher education. The premise of this article is that online instructors can creatively facilitate dialogue for effectively teaching online management courses. This article presents a dialogue-focused framework for addressing significant behavioral, structural, and…

Converting Student Support Services to Online Delivery.

ERIC Educational Resources Information Center

Brigham, David E.

2001-01-01

Uses a systems framework to analyze the creation of student support services for distance education at Regents College: electronic advising, electronic peer network, online course database, online bookstore, virtual library, and alumni services website. Addresses the issues involved in converting distance education programs from print-based and…

Graduate Inquiry: Social Capital in Online Courses

ERIC Educational Resources Information Center

Mays, Thomas

2016-01-01

As colleges and universities increase their online course offerings, student social experiences in online learning environments require further examination, specifically for nonresidential students who may already be less integrated into college social networks. A social capital framework was used to guide this qualitative study of 17…

The Online-Counseling Debate: A View toward the Underserved

ERIC Educational Resources Information Center

Sanchez-Page, Delida

2005-01-01

This article responds to some important issues that Mallen, Vogel, Rochlen, and Day raise in "Online Counseling: Reviewing the Literature from a Counseling Psychology Framework." This reaction reviews the appropriateness of online counseling for underserved populations. The author provides suggestions for better serving historically undeserved…

The Impact of Teaching Presence on Online Engagement Behaviors

ERIC Educational Resources Information Center

Zhang, Huaihao; Lin, Lijia; Zhan, Yi; Ren, Youqun

2016-01-01

Guided by the Interactive-Constructive-Active-Passive framework, the purpose of the study was to investigate whether teaching presence would impact online learners' passive, active, constructive, and interactive engagement behaviors. A total of 218 middle-school English teachers participated in an online professional development course.…

Comparing Online Learning Perceptions of Adult Students: An Application of the Community of Inquiry Framework

ERIC Educational Resources Information Center

Place, Margaret A.

2017-01-01

The number of courses and entire programs in higher education offered online has grown steadily over the past two decades, and scholars have conducted a number of studies aimed at addressing quality of online education. Gathering feedback from both instructors and students has been one of the main approaches to assessing online learning. The…

A Snapshot of State Regulatory Framework Development in Elementary and Secondary Online Education

ERIC Educational Resources Information Center

Stedrak, Luke J.; Rose, Amanda L.

2015-01-01

With the advent and growth of elementary and secondary online education in the United States, teaching and learning has undergone radical change with unimagined alternatives to traditional brick-and-mortar classrooms, and online education is here to stay. Law and policy in some states has lagged behind the emergence of online K-12 education. The…

Mastering the Online Master's: Developing and Delivering an Online MA in English Language Teaching through a Dialogic-Based Framework

ERIC Educational Resources Information Center

Baker, Will; Watson, Julie

2014-01-01

With an ever increasing array of technologies offering potential for the delivery of educational e-content and support of online communication and interaction, distance learning has an opportunity to make the transition to authentic online learning and teaching as never before. However, it seems that institutions are only slowly exploiting this…

ONLINE WATER MONITORING UTILIZING AN AUTOMATED MICROARRAY BIOSENSOR INSTRUMENT - PHASE I

EPA Science Inventory

Constellation Technology Corporation (Constellation) proposes the use of an integrated recovery and detection system for online water supply monitoring.  The integrated system is designed to efficiently capture and recover pathogens such as bacteria, viruses, parasites, an...

Fluorescence excitation-emission matrix spectroscopy for degradation monitoring of machinery lubricants

NASA Astrophysics Data System (ADS)

Sosnovski, Oleg; Suresh, Pooja; Dudelzak, Alexander E.; Green, Benjamin

2018-02-01

Lubrication oil is a vital component of heavy rotating machinery defining the machine's health, operational safety and effectiveness. Recently, the focus has been on developing sensors that provide real-time/online monitoring of oil condition/lubricity. Industrial practices and standards for assessing oil condition involve various analytical methods. Most these techniques are unsuitable for online applications. The paper presents the results of studying degradation of antioxidant additives in machinery lubricants using Fluorescence Excitation-Emission Matrix (EEM) Spectroscopy and Machine Learning techniques. EEM Spectroscopy is capable of rapid and even standoff sensing; it is potentially applicable to real-time online monitoring.

Automated vocabulary discovery for geo-parsing online epidemic intelligence.

PubMed

Keller, Mikaela; Freifeld, Clark C; Brownstein, John S

2009-11-24

Automated surveillance of the Internet provides a timely and sensitive method for alerting on global emerging infectious disease threats. HealthMap is part of a new generation of online systems designed to monitor and visualize, on a real-time basis, disease outbreak alerts as reported by online news media and public health sources. HealthMap is of specific interest for national and international public health organizations and international travelers. A particular task that makes such a surveillance useful is the automated discovery of the geographic references contained in the retrieved outbreak alerts. This task is sometimes referred to as "geo-parsing". A typical approach to geo-parsing would demand an expensive training corpus of alerts manually tagged by a human. Given that human readers perform this kind of task by using both their lexical and contextual knowledge, we developed an approach which relies on a relatively small expert-built gazetteer, thus limiting the need of human input, but focuses on learning the context in which geographic references appear. We show in a set of experiments, that this approach exhibits a substantial capacity to discover geographic locations outside of its initial lexicon. The results of this analysis provide a framework for future automated global surveillance efforts that reduce manual input and improve timeliness of reporting.

Measuring Progress Toward Universal Health Coverage: Does the Monitoring Framework of Bangladesh Need Further Improvement?

PubMed

Gupta, Rajat Das; Shahabuddin, Asm

2018-01-08

This review aimed to compare Bangladesh's Universal Health Coverage (UHC) monitoring framework with the global-level recommendations and to find out the existing gaps of Bangladesh's UHC monitoring framework compared to the global recommendations. In order to reach the aims of the review, we systematically searched two electronic databases - PubMed and Google Scholar - by using appropriate keywords to select articles that describe issues related to UHC and the monitoring framework of UHC applied globally and particularly in Bangladesh. Four relevant documents were found and synthesized. The review found that Bangladesh incorporated all of the recommendations suggested by the global monitoring framework regarding mentoring the financial risk protection and equity perspective. However, a significant gap in the monitoring framework related to service coverage was observed. Although Bangladesh has a significant burden of mental illnesses, cataract, and neglected tropical diseases, indicators related to these issues were absent in Bangladesh's UHC framework. Moreover, palliative-care-related indicators were completely missing in the framework. The results of this review suggest that Bangladesh should incorporate these indicators in their UHC monitoring framework in order to track the progress of the country toward UHC more efficiently and in a robust way.

Online communication and support for cancer patients: a relationship-centric design framework.

PubMed

Weiss, Jacob B; Lorenzi, Nancy M

2005-01-01

Dealing with a cancer diagnosis and cancer treatment involves communication among clinicians, patients, families, friends and others affected by the illness. The hypothesis of this research is that an informatics system can effectively support the communication needs of cancer patients and their informal caregivers. Two design frameworks for online cancer communication are defined and compared. One is centered primarily on the users' interpersonal relationships, and the other is centered on the clinical data and cancer information. Five types of clinical and supportive relationships were identified and supported by in-depth interviews with cancer patients and their informal caregivers. Focusing the design of an online cancer communication system around the interpersonal relationships of patients and families may be an important step towards designing more effective paradigms for online cancer care and support.

Monitoring the metering performance of an electronic voltage transformer on-line based on cyber-physics correlation analysis

NASA Astrophysics Data System (ADS)

Zhang, Zhu; Li, Hongbin; Tang, Dengping; Hu, Chen; Jiao, Yang

2017-10-01

Metering performance is the key parameter of an electronic voltage transformer (EVT), and it requires high accuracy. The conventional off-line calibration method using a standard voltage transformer is not suitable for the key equipment in a smart substation, which needs on-line monitoring. In this article, we propose a method for monitoring the metering performance of an EVT on-line based on cyber-physics correlation analysis. By the electrical and physical properties of a substation running in three-phase symmetry, the principal component analysis method is used to separate the metering deviation caused by the primary fluctuation and the EVT anomaly. The characteristic statistics of the measured data during operation are extracted, and the metering performance of the EVT is evaluated by analyzing the change in statistics. The experimental results show that the method successfully monitors the metering deviation of a Class 0.2 EVT accurately. The method demonstrates the accurate evaluation of on-line monitoring of the metering performance on an EVT without a standard voltage transformer.

A Confirmatory Factor Analysis of Teaching Presence within Online Professional Development

ERIC Educational Resources Information Center

Miller, Melinda G.; Hahs-Vaughn, Debbie L.; Zygouris-Coe, Vicky

2014-01-01

The Community of Inquiry model provides a framework for recognizing and evaluating interpersonal behaviors in online educational settings. One of its three components, teaching presence, describes behaviors that are under the auspices of the online instructor. By examining behaviors through the theoretical lens provided by teaching presence, and…

A Framework for Supporting Postsecondary Learners with Psychiatric Disabilities in Online Environments

ERIC Educational Resources Information Center

Grabinger, Scott

2010-01-01

Elena has a psychiatric disability: bipolar (manic/depressive) disorder. Daniele suffers from depression. Both are serious cognitive disorders that have significant effects on learning, especially learning online. One of the problems students with psychiatric disabilities encounter is finding support in online environments, especially when 10, 50,…

Constructivists Online: Reimagining Progressive Practice. Occasional Paper Series 34

ERIC Educational Resources Information Center

Freidus, Helen, Ed.; Welsh Kruger, Mollie, Ed.; Goss, Steven, Ed.

2015-01-01

In this issue of the Occasional Paper Series, the authors reimagine progressive pedagogy within the framework of digital pedagogy and online practice. The issue begins with "Notes from the Special Issue Editors," Helen Freidus, Mollie Welsh Kruger & Steven Goss. In the first set of essays, "Inside the Online Classroom," the…

Teaching Presence and Communication Timeliness in Asynchronous Online Courses

ERIC Educational Resources Information Center

Skramstad, Erik; Schlosser, Charles; Orellana, Anymir

2012-01-01

This study examined student perceptions of teaching presence and communication timeliness in asynchronous online courses. Garrison, Anderson, and Archer's (2000) community of inquiry model provided the framework for the survey research methodology used. Participants were 59 student volunteers taking 1 or more asynchronous online graduate courses.…

Learning Theory and Online Technologies

ERIC Educational Resources Information Center

Harasim, Linda

2011-01-01

"Learning Theory and Online Technologies" offers a powerful overview of the current state of elearning, a foundation of its historical roots and growth, and a framework for distinguishing among the major approaches to elearning. It effectively addresses pedagogy (how to design an effective online environment for learning), evaluation (how to know…

An Online Training Course to Learn How to Teach Online

ERIC Educational Resources Information Center

Bachy, Sylviane; Lebrun, Marcel

2015-01-01

This case study deals with the implementation of ongoing training, offered wholly through distance and online learning, and conducted within the framework of an inter-university partnership linking two European countries. The case story relates the experience of several instructional designers (called "Academic Advisors" in this part of…

Teaching Online: Applying Need Theory to the Work-Family Interface

ERIC Educational Resources Information Center

Nicklin, Jessica M.; McNall, Laurel A.; Cerasoli, Christopher P.; Varga, Claire M.; McGivney, R. J.

2016-01-01

Using Warner and Hausdorf's (2009) framework, the authors empirically examined work-life balance and work outcomes among collegiate faculty teaching courses online. Quantitative and qualitative results from 138 online instructors demonstrated that basic psychological need satisfaction was related to higher levels of work-family enrichment, job…

Introduction to the Major Contribution: Counseling Psychology and Online Counseling

ERIC Educational Resources Information Center

Mallen, Michael J.; Vogel, David L.

2005-01-01

This article introduces the Major Contribution, which focuses on online counseling. Several acronyms and terms are presented to familiarize the reader with distance-communication technology, including a definition of online counseling. The authors show how counseling psychology provides a framework for specific questions related to the theory,…

Exploring Self-Disclosure in Online Social Networks

ERIC Educational Resources Information Center

Velasco-Martin, Javier

2013-01-01

This project explores how experienced adult users of social media disclose personal information over online social networks (OSN). This work introduces a four-dimensional model to serve as a foundational framework for the study of online self-disclosure (OSD); these four dimensions are personal, social, technological and contextual, and support…

A Technical/Strategic Paradigm for Online Executive Education

ERIC Educational Resources Information Center

Smith, Marlene A.; Keaveney, Susan M.

2017-01-01

This article discusses the development and delivery of online courses for the executive education audience. The goal is to introduce a new framework, the technical/strategic paradigm, that will help educators to identify the pedagogical needs of disparate executive groups and adjust their online course development plans accordingly. We describe…

Should I take this course online?

PubMed

O'Neil, Carol; Fisher, Cheryl

2008-02-01

As the number of online nursing courses increases, students are faced with the daunting question, "Should I take this course online?" Although online courses are convenient, convenience should not be the sole factor for making this decision. Students and their advisors should discuss the characteristics of successful online students before deciding to take a course online. A study was conducted in which the same face-to-face and online version of a course were compared using Ragan's framework. The results of the study describe characteristics that can serve as useful criteria for predicting student success in an online course.

On-Line Modal State Monitoring of Slowly Time-Varying Structures

NASA Technical Reports Server (NTRS)

Johnson, Erik A.; Bergman, Lawrence A.; Voulgaris, Petros G.

1997-01-01

Monitoring the dynamic response of structures is often performed for a variety of reasons. These reasons include condition-based maintenance, health monitoring, performance improvements, and control. In many cases the data analysis that is performed is part of a repetitive decision-making process, and in these cases the development of effective on-line monitoring schemes help to speed the decision-making process and reduce the risk of erroneous decisions. This report investigates the use of spatial modal filters for tracking the dynamics of slowly time-varying linear structures. The report includes an overview of modal filter theory followed by an overview of several structural system identification methods. Included in this discussion and comparison are H-infinity, eigensystem realization, and several time-domain least squares approaches. Finally, a two-stage adaptive on-line monitoring scheme is developed and evaluated.

A Learning-Based Approach for IP Geolocation

NASA Astrophysics Data System (ADS)

Eriksson, Brian; Barford, Paul; Sommers, Joel; Nowak, Robert

The ability to pinpoint the geographic location of IP hosts is compelling for applications such as on-line advertising and network attack diagnosis. While prior methods can accurately identify the location of hosts in some regions of the Internet, they produce erroneous results when the delay or topology measurement on which they are based is limited. The hypothesis of our work is that the accuracy of IP geolocation can be improved through the creation of a flexible analytic framework that accommodates different types of geolocation information. In this paper, we describe a new framework for IP geolocation that reduces to a machine-learning classification problem. Our methodology considers a set of lightweight measurements from a set of known monitors to a target, and then classifies the location of that target based on the most probable geographic region given probability densities learned from a training set. For this study, we employ a Naive Bayes framework that has low computational complexity and enables additional environmental information to be easily added to enhance the classification process. To demonstrate the feasibility and accuracy of our approach, we test IP geolocation on over 16,000 routers given ping measurements from 78 monitors with known geographic placement. Our results show that the simple application of our method improves geolocation accuracy for over 96% of the nodes identified in our data set, with on average accuracy 70 miles closer to the true geographic location versus prior constraint-based geolocation. These results highlight the promise of our method and indicate how future expansion of the classifier can lead to further improvements in geolocation accuracy.

Response of Vibrio fischeri to repeated exposures over time in an Online Toxicity Monitor

EPA Science Inventory

Online Toxicity Monitors have been developed to provide continuous, time-relevant information regarding water quality. These systems measure a physiological or behavioral response of a sentinel organism to changes water quality. One such system, the Microlan Toxcontrol, is base...

ON-LINE TOXICITY MONITORS AND WATERSHED EARLY WARNING SYSTEMS

EPA Science Inventory

A Water Quality Early Warning System using On-line Toxicity Monitors (OTMs) has been deployed in the East Fork of the Little Miami River, Clermont County, OH. Living organisms have long been used to determine the toxicity of environmental samples. With advancements in electronic ...

Analysis of Online Social Networks to Understand Information Sharing Behaviors Through Social Cognitive Theory

DOE Office of Scientific and Technical Information (OSTI.GOV)

Yoon, Hong-Jun; Tourassi, Georgia

Analyzing the contents of online social networks is an effective process for monitoring and understanding peoples behaviors. Since the nature of conversation and information propagation is similar to traditional conversation and learning, one of the popular socio-cognitive methods, social cognitive theory was applied to online social networks to. Two major news topics about colon cancer were chosen to monitor traffic of Twitter messages. The activity of leaders on the issue (i.e., news companies or people will prior Twitter activity on topics related to colon cancer) was monitored. In addition, the activity of followers , people who never discussed the topicsmore » before, but replied to the discussions was also monitored. Topics that produce tangible benefits such as positive outcomes from appropriate preventive actions received dramatically more attention and online social media traffic. Such characteristics can be explained with social cognitive theory and thus present opportunities for effective health campaigns.« less

Instantaneous angular speed monitoring of gearboxes under non-cyclic stationary load conditions

NASA Astrophysics Data System (ADS)

Stander, C. J.; Heyns, P. S.

2005-07-01

Recent developments in the condition monitoring and asset management market have led to the commercialisation of online vibration-monitoring systems. These systems are primarily utilised to monitor large mineral mining equipment such as draglines, continuous miners and hydraulic shovels. Online monitoring systems make diagnostic information continuously available for asset management, production outsourcing and maintenance alliances with equipment manufacturers. However, most online vibration-monitoring systems are based on conventional vibration-monitoring technologies, which are prone to giving false equipment deterioration warnings on gears that operate under fluctuating load conditions. A simplified mathematical model of a gear system was developed to illustrate the feasibility of monitoring the instantaneous angular speed (IAS) as a means of monitoring the condition of gears that are subjected to fluctuating load conditions. A distinction is made between cyclic stationary load modulation and non-cyclic stationary load modulation. It is shown that rotation domain averaging will suppress the modulation caused by non-cyclic stationary load conditions but will not suppress the modulation caused by cyclic stationary load conditions. An experimental investigation on a test rig indicated that the IAS of a gear shaft could be monitored with a conventional shaft encoder to indicate a deteriorating gear fault condition.

Measuring Progress Toward Universal Health Coverage: Does the Monitoring Framework of Bangladesh Need Further Improvement?

PubMed Central

Shahabuddin, ASM

2018-01-01

This review aimed to compare Bangladesh’s Universal Health Coverage (UHC) monitoring framework with the global-level recommendations and to find out the existing gaps of Bangladesh’s UHC monitoring framework compared to the global recommendations. In order to reach the aims of the review, we systematically searched two electronic databases - PubMed and Google Scholar - by using appropriate keywords to select articles that describe issues related to UHC and the monitoring framework of UHC applied globally and particularly in Bangladesh. Four relevant documents were found and synthesized. The review found that Bangladesh incorporated all of the recommendations suggested by the global monitoring framework regarding mentoring the financial risk protection and equity perspective. However, a significant gap in the monitoring framework related to service coverage was observed. Although Bangladesh has a significant burden of mental illnesses, cataract, and neglected tropical diseases, indicators related to these issues were absent in Bangladesh’s UHC framework. Moreover, palliative-care-related indicators were completely missing in the framework. The results of this review suggest that Bangladesh should incorporate these indicators in their UHC monitoring framework in order to track the progress of the country toward UHC more efficiently and in a robust way. PMID:29541562

Status and Needs Research for On-line Monitoring of VOCs Emissions from Stationary Sources

NASA Astrophysics Data System (ADS)

Zhou, Gang; Wang, Qiang; Zhong, Qi; Zhao, Jinbao; Yang, Kai

2018-01-01

Based on atmospheric volatile organic compounds (VOCs) pollution control requirements during the twelfth-five year plan and the current status of monitoring and management at home and abroad, instrumental architecture and technical characteristics of continuous emission monitoring systems (CEMS) for VOCs emission from stationary sources are investigated and researched. Technological development needs of VOCs emission on-line monitoring techniques for stationary sources in china are proposed from the system sampling pretreatment technology and analytical measurement techniques.

On-line detection of key radionuclides for fuel-rod failure in a pressurized water reactor.

PubMed

Qin, Guoxiu; Chen, Xilin; Guo, Xiaoqing; Ni, Ning

2016-08-01

For early on-line detection of fuel rod failure, the key radionuclides useful in monitoring must leak easily from failing rods. Yield, half-life, and mass share of fission products that enter the primary coolant also need to be considered in on-line analyses. From all the nuclides that enter the primary coolant during fuel-rod failure, (135)Xe and (88)Kr were ultimately chosen as crucial for on-line monitoring of fuel-rod failure. A monitoring system for fuel-rod failure detection for pressurized water reactor (PWR) based on the LaBr3(Ce) detector was assembled and tested. The samples of coolant from the PWR were measured using the system as well as a HPGe γ-ray spectrometer. A comparison showed the method was feasible. Finally, the γ-ray spectra of primary coolant were measured under normal operations and during fuel-rod failure. The two peaks of (135)Xe (249.8keV) and (88)Kr (2392.1keV) were visible, confirming that the method is capable of monitoring fuel-rod failure on-line. Copyright © 2016 Elsevier Ltd. All rights reserved.

A Model for Enhancing Online Course Development

ERIC Educational Resources Information Center

Knowles, Evelyn; Kalata, Kathleen

2008-01-01

In order to meet the growing demand for quality online education, Park University has adopted a model that provides a common framework for all of its online courses. Evelyn Knowles and Kathleen Kalata discuss the circumstances leading to the current system and describe the university's implementation of a course development process that ensures…

Presence and Positioning as Components of Online Instructor Persona

ERIC Educational Resources Information Center

Dennen, Vanessa Paz

2007-01-01

Instructor persona in online discussion may set the tone for a variety of course outcomes. Instructors establish persona via both presence (amount of instructor posts) and position (interaction relative to those in the student role). In this paper, three online classes were studied using positioning theory as a grounding framework to elicit ways…

A Confirmatory Factor Analysis of Teaching Presence within the Florida Online Reading Professional Development Program

ERIC Educational Resources Information Center

Stevison, Melinda Gay

2009-01-01

The Community of Inquiry model provides a framework for recognizing and evaluating interpersonal behaviors in online educational settings. One of its three components, teaching presence (TP), describes those behaviors that are under the auspices of the online instructor. By examining these interactions and behaviors through the theoretical lens…

Teachers' Concerns about Adopting Constructivist Online Game-Based Learning in Formal Curriculum Teaching: The VISOLE Experience

ERIC Educational Resources Information Center

Jong, Morris S. Y.

2016-01-01

Our work is set against the backdrop of the pervasive discussion of harnessing online games to provide students with new constructivist learning opportunities. Upon the theoretical foundation, we have developed Virtual Interactive Student-Oriented Learning Environment (VISOLE), a teaching framework for implementing constructivist online game-based…

An Instructional Strategy Framework for Online Learning Environments.

ERIC Educational Resources Information Center

Johnson, Scott D.; Aragon, Steven R.

The rapid growth of Web-based instruction has raised many questions about the quality of online courses. It appears that many online courses are simply modeled after traditional forms of instruction instead of incorporating a design that takes advantage of the unique capabilities of Web-based learning environments. This paper describes a research…

The Economics of Online Dating: A Course in Economic Modeling

ERIC Educational Resources Information Center

Monaco, Andrew J.

2018-01-01

The author discusses the development of a unique course, The Economics of Online Dating. The course is an upper-level undergraduate course that combines intensive discussion, peer review, and economic theory to teach modeling skills to undergraduates. The course uses the framework of "online dating," interpreted broadly, as a point of…

How Online Journalists Learn within a Non-Formal Context

ERIC Educational Resources Information Center

Kronstad, Morten; Eide, Martin

2015-01-01

Purpose: The purpose of this paper is to contribute to the understanding of workplace learning, with a focus on the non-formal learning that takes place among online journalists. The focus of this article is journalists working in an online newspaper and their experiences with workplace and non-formal learning, centering on framework conditions…

Are You an Online Team Player? A Pilot Study

ERIC Educational Resources Information Center

Rawlings, Melody

2014-01-01

The purpose of this pilot case study was to answer the following research questions: How do previous experiences affect students' attitudes toward online teamwork? When do students' attitudes toward online teamwork first develop and why? Using a social constructivist framework, a qualitative case study design was utilized to conduct an online…

Toward a Framework for Evaluating Online Instruction in Higher Education

ERIC Educational Resources Information Center

Warford, Mark K.

2014-01-01

SUNY-wide, the online horse has left the gate. Meanwhile, campuses contend with traditional means for evaluating teaching effectiveness that do not match up against the latest standards for online instruction. Following a discussion of some of the core considerations that individual campuses need to address in responding to Open SUNY, the author…

Academics Telecommuting in Open and Distance Education Universities: Issues, Challenges, and Opportunities

ERIC Educational Resources Information Center

Ng, Cheuk Fan

2006-01-01

Research in distance and online education has focused on how to improve students' learning and support services. Faculty satisfaction, as one of the five pillars in Sloan-Consortium's quality framework for online education, has received less attention in research. Besides online teaching, little research has examined the experiences of academics…

Nonverbal Immediacy Behaviors and Online Student Engagement: Bringing Past Instructional Research into the Present Virtual Classroom

ERIC Educational Resources Information Center

Dixson, Marcia D.; Greenwell, Mackenzie R.; Rogers-Stacy, Christie; Weister, Tyson; Lauer, Sara

2017-01-01

Nonverbal immediacy behaviors are underresearched in the online teaching environment. Using social presence theory as a guiding framework, this study explores several online nonverbal immediacy behaviors: emoticons/figurative language, color, cohesion, visual imagery, and audio in course design; response latency, length, time of day, and message…

Towards a Theoretical Framework for Online Professional Discussions

ERIC Educational Resources Information Center

Adie, Lenore

2014-01-01

Sociocultural theories of learning and sociocultural theories of technology are explored as a way to view and to map the complex interactions that can occur in online professional discussions. The case of synchronous online moderation meetings are used as an example of the combination of variables that can impact on the development of shared…

Improving Online Social Presence through Asynchronous Video

ERIC Educational Resources Information Center

Borup, Jered; West, Richard E.; Graham, Charles R.

2012-01-01

Online learning has become a reality for many students in higher education. Unfortunately, something that has also become a reality is a sense of isolation in online courses, and Moore (1980) has warned that students' sense of distance can threaten their ability to learn. The community of inquiry framework (Garrison, Anderson, & Archer, 2000) has…

Theoretical Development, Factorial Validity, and Reliability of the Online Graduate Mentoring Scale

ERIC Educational Resources Information Center

Crawford, Linda M.; Randolph, Justus J.; Yob, Iris M.

2014-01-01

In this study, we sought to confirm the theoretical framework underlying an Online Graduate Mentoring Scale by establishing the scale's factorial validity and reliability. Analysis of data received from doctoral students and alumni/ae of the College of Education of one large, online, accredited university reduced the initial theoretical…

"Introduction to Teaching Online": Usability Evaluation of Interactivity in an Online Social Constructivist Course

ERIC Educational Resources Information Center

Robinson, Heather A.; Sheffield, Anneliese; Phillips, Alana S.; Moore, Michelle

2017-01-01

In this study, the usability of a social constructivist online teacher preparation course was examined using a framework developed for asynchronous constructivist courses. In particular, students' approaches to learning through interactivity were examined. Students from around the world participated in the course. Data from weekly feedback were…

Evaluating Online Bilingual Dictionaries: The Case of Popular Free English-Polish Dictionaries

ERIC Educational Resources Information Center

Lew, Robert; Szarowska, Agnieszka

2017-01-01

Language learners today exhibit a strong preference for free online resources. One problem with such resources is that their quality can vary dramatically. Building on related work on monolingual resources for English, we propose an evaluation framework for online bilingual dictionaries, designed to assess lexicographic quality in four major…

A Synthesized Coding Framework for Asynchronous Online Discussion Research

ERIC Educational Resources Information Center

Weltzer-Ward, Lisa Michelle

2014-01-01

Online classroom discussion is ubiquitous in higher education today, with both online and hybrid courses. As a result, tools need to be created that enable an in-depth assessment of this medium, thereby facilitating the establishment and support of best practices in education. Such an assessment requires tools for consistent, efficient analysis of…

Doing the Math: Supporting Students with Disabilities in Online Courses

ERIC Educational Resources Information Center

Serianni, Barbara A.; Coy, Kimberly

2014-01-01

The purpose of this article is to provide teachers and parents with a framework and practical ideas for supporting their students with disabilities in online mathematics. Through the fictional scenarios involving Martin and Liana, factors that may contribute to a successful online learning experience will be explored, highlighting the benefits and…

Transformer partial discharge monitoring based on optical fiber sensing

NASA Astrophysics Data System (ADS)

Wang, Kun; Tong, Xinglin; Zhu, Xiaolong

2014-06-01

The power transformer is the most important equipment of the high voltage power grid, however, some traditional methods of online partial discharge monitoring have some limitations. Based on many advantages of the optical fiber sensing technology, we have done some research on fiber optics Fabry-Perot (FP) sensing which can be useful for the transformer on online partial discharge monitoring. This research aimed at improving the reliability of power system safety monitoring. We have done some work as follows: designing a set for fiber optics FP sensor preparation, according to the fabrication procedure strictly making out the sensors, building a reasonable signal demodulation system for fiber optics FP sensing, doing a preliminary analysis about online partial discharge signal monitoring, including the research on different discharge intensities with the same measuring distance and different measuring distances with the same discharge intensity, and then making a detailed analysis of the experimental results.

Problematic Online Pornography Use: A Media Attendance Perspective.

PubMed

Sirianni, Joseph M; Vishwanath, Arun

2016-01-01

Since the rise of the popularity of the Internet, the accessibility of pornography has been a growing concern. One particular concern is the potential risk for addictive behaviors to occur as a result of the ease of viewing online pornographic material. The research presented herein explored online pornography addiction using a media attendance perspective, which allows media critics to examine the needs that people seek to fulfill from engaging with various media. Past studies that have used a media attendance perspective to explore media addiction, rephrased here as problematic media use, have done so using social cognitive theory and the concept of deficient self-regulation. Deficient self-regulation may be experienced by all media consumers and can range from normally impulsive media choices to pathological media choices which may result in detrimental life consequences. Borrowing from this, the current study reevaluated online pornography addiction using deficient self-regulation within a sociocognitive framework of media attendance. Results of our model show deficient self-regulation influences habitual online pornography consumption. Moreover, online pornography use motivated by social needs is perpetuated by deficient self-regulation and may lead to negative life consequences in some individuals. These findings contribute a new perspective and framework for understanding problematic online pornography use.

Submicron particulate organic matter in the urban atmosphere: a new method for real-time measurement, molecular-level characterization and source apportionment

NASA Astrophysics Data System (ADS)

Müller, Markus; Eichler, Philipp; D'Anna, Barbara; Tan, Wen; Wisthaler, Armin

2017-04-01

We used a novel chemical analytical method for measuring submicron particulate organic matter in the atmosphere of three European cities (Innsbruck, Lyon, Valencia). Proton-Transfer-Reaction Time-of-Flight Mass Spectrometry (PTR-ToF-MS) was used in combination with the "chemical analysis of aerosol online" (CHARON) inlet for detecting particulate organic compounds on-line (i.e. without filter pre-collection), in real-time (1-min time resolution), at ng m-3 concentrations, with molecular-level resolution (i.e. obtaining molecular weight and elemental composition information). The CHARON-PTR-ToF-MS system monitored molecular tracers associated with different particle sources including levoglucosan from biomass combustion, PAHs from vehicular traffic, nicotine from cigarette smoking, and monoterpene oxidation products secondarily formed from biogenic emissions. The tracer information was used for interpreting positive matrix factorization (PMF) data which allowed us to apportion the sources of submicron particulate organic matter in the different urban environments. This work was funded through the PIMMS ITN, which was supported by the European Commission's 7th Framework Programme under grant agreement number 287382.

Unicam Activity Framework (UAF)

ERIC Educational Resources Information Center

Gagliardi, R.; Mauri, M.; Polzonetti, A.

2016-01-01

This presentation illustrates the framework of processing performance of the faculty of the University of Camerino. The evaluation criteria are explained and the technological structure that allows automatic performance assessment available online anywhere and anytime. The designed framework is usually applied to the performance evaluation of…

"Any girls want to chat press 911": partner selection in monitored and unmonitored teen chat rooms.

PubMed

Smahel, David; Subrahmanyam, Kaveri

2007-06-01

We examined the search for partners by participants in two teen chat services having different ecologies. Over 12,000 utterances from monitored and unmonitored chat rooms were analyzed to assess online partner selection attempts and to see how such attempts may be influenced by the presence of an adult monitor. We found that the search for partners is ubiquitous in adolescents' online haunts, just as it is in their offline lives, and approximately two requests for a partner occur each minute. Although partner selection appears to be an important activity in online teen chat rooms, there are differences in frequency and format (e.g., the use of numerals, sexualized requests) as a function of participants' age and gender, and chat room ecology (monitored vs. unmonitored).

Boosting Stochastic Problem Solvers Through Online Self-Analysis of Performance

DTIC Science & Technology

2003-07-21

Boosting Stochastic Problem Solvers Through Online Self-Analysis of Performance Vincent A. Cicirello CMU-RI-TR-03-27 Submitted in partial fulfillment...AND SUBTITLE Boosting Stochastic Problem Solvers Through Online Self-Analysis of Performance 5a. CONTRACT NUMBER 5b. GRANT NUMBER 5c. PROGRAM...lead to the development of a search control framework, called QD-BEACON that uses online -generated statistical models of search performance to

The role of non-technical skills in surgery

PubMed Central

Agha, Riaz A.; Fowler, Alexander J.; Sevdalis, Nick

2015-01-01

Non-technical skills are of increasing importance in surgery and surgical training. A traditional focus on technical skills acquisition and competence is no longer enough for the delivery of a modern, safe surgical practice. This review discusses the importance of non-technical skills and the values that underpin successful modern surgical practice. This narrative review used a number of sources including written and online, there was no specific search strategy of defined databases. Modern surgical practice requires; technical and non-technical skills, evidence-based practice, an emphasis on lifelong learning, monitoring of outcomes and a supportive institutional and health service framework. Finally these requirements need to be combined with a number of personal and professional values including integrity, professionalism and compassionate, patient-centred care. PMID:26904193

Information Parents Must Know about Online Privacy.

ERIC Educational Resources Information Center

Markell, Ginny

2000-01-01

Presents four tips to help parents monitor whether website operators are complying with the 1988 Children's Online Privacy Protection Act: look for privacy policies on children's websites; determine if they ask for parental consent to collect personal information; regularly monitor information being sent to children; and determine if web operators…

Near Real-Time Monitoring of Global Evapotranspiration and its Application to Water Resource Management

NASA Astrophysics Data System (ADS)

Halverson, G. H.; Fisher, J.; Jewell, L. A.; Moore, G.; Verma, M.; McDonald, T.; Kim, S.; Muniz, A.

2016-12-01

Water scarcity and its impact on agriculture is a pressing world concern. At the heart of this crisis is the balance of water exchange between the land and the atmosphere. The ability to monitor evapotranspiration provides a solution by enabling sustainable irrigation practices. The Priestley-Taylor Jet Propulsion Laboratory model of evapotranspiration has been implemented to meet this need as a daily MODIS product with 1 to 5 km resolution. An automated data pipeline for this model implementation provides daily data with global coverage and near real-time latency using the Geospatial Data Abstraction Library. An interactive map providing on-demand statistical analysis enables water resource managers to monitor rates of water loss. To demonstrate the application of remotely-sensed evapotranspiration to water resource management, a partnership has been arranged with the New Mexico Office of the State Engineer (NMOSE). The online water research management tool was developed to meet the specifications of NMOSE using the Leaflet, GeoServer, and Django frameworks. NMOSE will utilize this tool to monitor drought and fire risk and manage irrigation. Through this test-case, it is hoped that real-time, user-friendly remote sensing tools will be adopted globally to make resource management decisions informed by the NASA Earth Observation System.

eMZed: an open source framework in Python for rapid and interactive development of LC/MS data analysis workflows.

PubMed

Kiefer, Patrick; Schmitt, Uwe; Vorholt, Julia A

2013-04-01

The Python-based, open-source eMZed framework was developed for mass spectrometry (MS) users to create tailored workflows for liquid chromatography (LC)/MS data analysis. The goal was to establish a unique framework with comprehensive basic functionalities that are easy to apply and allow for the extension and modification of the framework in a straightforward manner. eMZed supports the iterative development and prototyping of individual evaluation strategies by providing a computing environment and tools for inspecting and modifying underlying LC/MS data. The framework specifically addresses non-expert programmers, as it requires only basic knowledge of Python and relies largely on existing successful open-source software, e.g. OpenMS. The framework eMZed and its documentation are freely available at http://emzed.biol.ethz.ch/. eMZed is published under the GPL 3.0 license, and an online discussion group is available at https://groups.google.com/group/emzed-users. Supplementary data are available at Bioinformatics online.

Design, implementation and validation of a novel open framework for agile development of mobile health applications

PubMed Central

2015-01-01

The delivery of healthcare services has experienced tremendous changes during the last years. Mobile health or mHealth is a key engine of advance in the forefront of this revolution. Although there exists a growing development of mobile health applications, there is a lack of tools specifically devised for their implementation. This work presents mHealthDroid, an open source Android implementation of a mHealth Framework designed to facilitate the rapid and easy development of mHealth and biomedical apps. The framework is particularly planned to leverage the potential of mobile devices such as smartphones or tablets, wearable sensors and portable biomedical systems. These devices are increasingly used for the monitoring and delivery of personal health care and wellbeing. The framework implements several functionalities to support resource and communication abstraction, biomedical data acquisition, health knowledge extraction, persistent data storage, adaptive visualization, system management and value-added services such as intelligent alerts, recommendations and guidelines. An exemplary application is also presented along this work to demonstrate the potential of mHealthDroid. This app is used to investigate on the analysis of human behavior, which is considered to be one of the most prominent areas in mHealth. An accurate activity recognition model is developed and successfully validated in both offline and online conditions. PMID:26329639

An Unsupervised Online Spike-Sorting Framework.

PubMed

Knieling, Simeon; Sridharan, Kousik S; Belardinelli, Paolo; Naros, Georgios; Weiss, Daniel; Mormann, Florian; Gharabaghi, Alireza

2016-08-01

Extracellular neuronal microelectrode recordings can include action potentials from multiple neurons. To separate spikes from different neurons, they can be sorted according to their shape, a procedure referred to as spike-sorting. Several algorithms have been reported to solve this task. However, when clustering outcomes are unsatisfactory, most of them are difficult to adjust to achieve the desired results. We present an online spike-sorting framework that uses feature normalization and weighting to maximize the distinctiveness between different spike shapes. Furthermore, multiple criteria are applied to either facilitate or prevent cluster fusion, thereby enabling experimenters to fine-tune the sorting process. We compare our method to established unsupervised offline (Wave_Clus (WC)) and online (OSort (OS)) algorithms by examining their performance in sorting various test datasets using two different scoring systems (AMI and the Adamos metric). Furthermore, we evaluate sorting capabilities on intra-operative recordings using established quality metrics. Compared to WC and OS, our algorithm achieved comparable or higher scores on average and produced more convincing sorting results for intra-operative datasets. Thus, the presented framework is suitable for both online and offline analysis and could substantially improve the quality of microelectrode-based data evaluation for research and clinical application.

Theoretical approaches of online social network interventions and implications for behavioral change: a systematic review.

PubMed

Arguel, Amaël; Perez-Concha, Oscar; Li, Simon Y W; Lau, Annie Y S

2018-02-01

The aim of this review was to identify general theoretical frameworks used in online social network interventions for behavioral change. To address this research question, a PRISMA-compliant systematic review was conducted. A systematic review (PROSPERO registration number CRD42014007555) was conducted using 3 electronic databases (PsycINFO, Pubmed, and Embase). Four reviewers screened 1788 abstracts. 15 studies were selected according to the eligibility criteria. Randomized controlled trials and controlled studies were assessed using Cochrane Collaboration's "risk-of-bias" tool, and narrative synthesis. Five eligible articles used the social cognitive theory as a framework to develop interventions targeting behavioral change. Other theoretical frameworks were related to the dynamics of social networks, intention models, and community engagement theories. Only one of the studies selected in the review mentioned a well-known theory from the field of health psychology. Conclusions were that guidelines are lacking in the design of online social network interventions for behavioral change. Existing theories and models from health psychology that are traditionally used for in situ behavioral change should be considered when designing online social network interventions in a health care setting. © 2016 John Wiley & Sons, Ltd.

Online monitoring of fermentation processes via non-invasive low-field NMR.

PubMed

Kreyenschulte, Dirk; Paciok, Eva; Regestein, Lars; Blümich, Bernhard; Büchs, Jochen

2015-09-01

For the development of biotechnological processes in academia as well as in industry new techniques are required which enable online monitoring for process characterization and control. Nuclear magnetic resonance (NMR) spectroscopy is a promising analytical tool, which has already found broad applications in offline process analysis. The use of online monitoring, however, is oftentimes constrained by high complexity of custom-made NMR bioreactors and considerable costs for high-field NMR instruments (>US$200,000). Therefore, low-field (1) H NMR was investigated in this study in a bypass system for real-time observation of fermentation processes. The new technique was validated with two microbial systems. For the yeast Hansenula polymorpha glycerol consumption could accurately be assessed in spite of the presence of high amounts of complex constituents in the medium. During cultivation of the fungal strain Ustilago maydis, which is accompanied by the formation of several by-products, the concentrations of glucose, itaconic acid, and the relative amount of glycolipids could be quantified. While low-field spectra are characterized by reduced spectral resolution compared to high-field NMR, the compact design combined with the high temporal resolution (15 s-8 min) of spectra acquisition allowed online monitoring of the respective processes. Both applications clearly demonstrate that the investigated technique is well suited for reaction monitoring in opaque media while at the same time it is highly robust and chemically specific. It can thus be concluded that low-field NMR spectroscopy has a great potential for non-invasive online monitoring of biotechnological processes at the research and practical industrial scales. © 2015 Wiley Periodicals, Inc.

Multiple Pathways to Learning: An Examination of Universal Design and Online Strategic Learning in Higher Education

ERIC Educational Resources Information Center

Hicks, Maryruth Wilks

2010-01-01

The purpose of this study was to examine the effectiveness of universally designed (UD) instruction on strategic learning in an online, interactive learning environment (ILE). The research focused on the premise that the customizable, media-based framework of UD instruction might influence diverse online learning strategies. This study…

Online Interaction Quality among Adult Learners: The Role of Sense of Belonging and Perceived Learning Benefits

ERIC Educational Resources Information Center

Diep, Nguyet A.; Cocquyt, Celine; Zhu, Chang; Vanwing, Tom

2017-01-01

The present study employs social cognitive theory (SCT) and social capital as the guiding frameworks to explain online interaction quality among learners in a blended learning program (N = 179). Capturing performance expectancy by perceived learning benefits and online interaction quality with nuanced cognitive measures, the study aims to validate…

A Conceptual Framework for Building UDL in a Special Education Distance Education Course

ERIC Educational Resources Information Center

Scott, LaRon; Temple, Peter

2017-01-01

Online graduate programs have been increasing in number and attendance over the past decade. Ensuring that the quality of teacher preparation programs is maintained in an online learning environment is essential. After reviewing the pedagogies of both special education and online learning, it was determined that Universal Design for Learning (UDL)…

Using a Design-Based Research Study to Identify Principles for Training Instructors to Teach Online

ERIC Educational Resources Information Center

Shattuck, Julie; Anderson, Terry

2013-01-01

Within the overall framework of design-based research, this paper reports on a study that focused on evaluating an online training course for online instructors. This intervention was designed as a possible solution to the problem facing some higher education institutions of how to provide quality, accessible training for mostly part-time…

A Working Typology of Intentions Driving Face-to-Face and Online Interaction in a Graduate Teacher Education Course.

ERIC Educational Resources Information Center

Vrasidas, Charalambos

2002-01-01

Describes a study that examined the intentions, social organization, and meaning of online interaction in a graduate distance education course in teacher education delivered by a combination of online and face-to-face instruction. Explains the theoretical framework which was based on symbolic interactionism and the methodological approach which…

A Case Study of Understanding the Influence of Cultural Patterns on International Students' Perception and Experience with Online Learning

ERIC Educational Resources Information Center

Paralejas, Cynthia G.

2013-01-01

This dissertation aimed to understand the influence of cultural patterns on international students' perception and experience with online learning. This case study utilized Hofstede's cultural dimension model as an interpretative framework to understand what are the international students' perceptions and experiences with online courses. Two…

Using Communities of Practice as a Tool to Analyse Developing Identity in Online Ddiscussion

ERIC Educational Resources Information Center

Pratt, Nick; Back, Jenni

2013-01-01

In this article, we address the methodological implications of analysing online discussion boards with a focus on participants' changing identities. More specifically, we propose the use of a Communities of Practice framework as a heuristic method for considering how participants' contributions to online discussion play a role in changing who they…

An Authentic Online Community of Learning Framework for Higher Education: Development Process

ERIC Educational Resources Information Center

Parker, Jenni

2017-01-01

A key challenge for higher education practitioners is to identify how to construct more engaging online environments that promote key learning skills and encourage self-directed learning. This paper discusses a study that investigated how online university courses could be designed to be more engaging. The study employed a design-based research…

Backboards and Browsers: A Qualitative Examination of Division I Student-Athlete Experiences in Online Learning Environments

ERIC Educational Resources Information Center

Healy, Jonathan

2013-01-01

This research explored the experiences of student-athletes in online education. Interviews were conducted with scholarship student-athletes enrolled at a Bowl Championship Series level, Division I institution. Participants had completed at least one online course while actively participating in their sport. A conceptual framework was developed to…

On-line Monitoring for Cutting Tool Wear Condition Based on the Parameters

NASA Astrophysics Data System (ADS)

Han, Fenghua; Xie, Feng

2017-07-01

In the process of cutting tools, it is very important to monitor the working state of the tools. On the basis of acceleration signal acquisition under the constant speed, time domain and frequency domain analysis of relevant indicators monitor the online of tool wear condition. The analysis results show that the method can effectively judge the tool wear condition in the process of machining. It has certain application value.

Development of agent-based on-line adaptive signal control (ASC) framework using connected vehicle (CV) technology.

DOT National Transportation Integrated Search

2016-04-01

In this study, we developed an adaptive signal control (ASC) framework for connected vehicles (CVs) using agent-based modeling technique. : The proposed framework consists of two types of agents: 1) vehicle agents (VAs); and 2) signal controller agen...

Romantic Partner Monitoring After Breakups: Attachment, Dependence, Distress, and Post-Dissolution Online Surveillance via Social Networking Sites.

PubMed

Fox, Jesse; Tokunaga, Robert S

2015-09-01

Romantic relationship dissolution can be stressful, and social networking sites make it difficult to separate from a romantic partner online as well as offline. An online survey (N = 431) tested a model synthesizing attachment, investment model variables, and post-dissolution emotional distress as predictors of interpersonal surveillance (i.e., "Facebook stalking") of one's ex-partner on Facebook after a breakup. Results indicated that anxious attachment predicted relational investment but also seeking relationship alternatives; avoidant attachment was negatively related to investment but positively related to seeking alternatives. Investment predicted commitment, whereas seeking alternatives was negatively related to commitment. Commitment predicted emotional distress after the breakup. Distress predicted partner monitoring immediately following the breakup, particularly for those who did not initiate the breakup, as well as current partner monitoring. Given their affordances, social media are discussed as potentially unhealthy enablers for online surveillance after relationship termination.

Combining novel monitoring tools and precision application technologies for integrated high-tech crop protection in the future (a discussion document).

PubMed

Zijlstra, Carolien; Lund, Ivar; Justesen, Annemarie F; Nicolaisen, Mogens; Jensen, Peter Kryger; Bianciotto, Valeria; Posta, Katalin; Balestrini, Raffaella; Przetakiewicz, Anna; Czembor, Elzbieta; van de Zande, Jan

2011-06-01

The possibility of combining novel monitoring techniques and precision spraying for crop protection in the future is discussed. A generic model for an innovative crop protection system has been used as a framework. This system will be able to monitor the entire cropping system and identify the presence of relevant pests, diseases and weeds online, and will be location specific. The system will offer prevention, monitoring, interpretation and action which will be performed in a continuous way. The monitoring is divided into several parts. Planting material, seeds and soil should be monitored for prevention purposes before the growing period to avoid, for example, the introduction of disease into the field and to ensure optimal growth conditions. Data from previous growing seasons, such as the location of weeds and previous diseases, should also be included. During the growing season, the crop will be monitored at a macroscale level until a location that needs special attention is identified. If relevant, this area will be monitored more intensively at a microscale level. A decision engine will analyse the data and offer advice on how to control the detected diseases, pests and weeds, using precision spray techniques or alternative measures. The goal is to provide tools that are able to produce high-quality products with the minimal use of conventional plant protection products. This review describes the technologies that can be used or that need further development in order to achieve this goal. Copyright © 2011 Society of Chemical Industry.

Data Quality Monitoring System for New GEM Muon Detectors for the CMS Experiment Upgrade

NASA Astrophysics Data System (ADS)

King, Robert; CMS Muon Group Team

2017-01-01

The Gas Electron Multiplier (GEM) detectors are novel detectors designed to improve the muon trigger and tracking performance in CMS experiment for the high luminosity upgrade of the LHC. Partial installation of GEM detectors is planned during the 2016-2017 technical stop. Before the GEM system is installed underground, its data acquisition (DAQ) electronics must be thoroughly tested. The DAQ system includes several commercial and custom-built electronic boards running custom firmware. The front-end electronics are radiation-hard and communicate via optical fibers. The data quality monitoring (DQM) software framework has been designed to provide online verification of the integrity of the data produced by the detector electronics, and to promptly identify potential hardware or firmware malfunctions in the system. Local hits reconstruction and clustering algorithms allow quality control of the data produced by each GEM chamber. Once the new detectors are installed, the DQM will monitor the stability and performance of the system during normal data-taking operations. We discuss the design of the DQM system, the software being developed to read out and process the detector data, and the methods used to identify and report hardware and firmware malfunctions of the system.

Teaching Citizen Science Skills Online: Implications for Invasive Species Training Programs

ERIC Educational Resources Information Center

Newman, Greg; Crall, Alycia; Laituri, Melinda; Graham, Jim; Stohlgren, Tom; Moore, John C.; Kodrich, Kris; Holfelder, Kirstin A.

2010-01-01

Citizen science programs are emerging as an efficient way to increase data collection and help monitor invasive species. Effective invasive species monitoring requires rigid data quality assurances if expensive control efforts are to be guided by volunteer data. To achieve data quality, effective online training is needed to improve field skills…

Online monitoring of P(3HB) produced from used cooking oil with near-infrared spectroscopy.

PubMed

Cruz, Madalena V; Sarraguça, Mafalda Cruz; Freitas, Filomena; Lopes, João Almeida; Reis, Maria A M

2015-01-20

Online monitoring process for the production of polyhydroxyalkanoates (PHA), using cooking oil (UCO) as the sole carbon source and Cupriavidus necator, was developed. A batch reactor was operated and hydroxybutyrate homopolymer was obtained. The biomass reached a maximum concentration of 11.6±1.7gL(-1) with a polymer content of 63±10.7% (w/w). The yield of product on substrate was 0.77±0.04gg(-1). Near-infrared (NIR) spectroscopy was used for online monitoring of the fermentation, using a transflectance probe. Partial least squares regression was applied to relate NIR spectra with biomass, UCO and PHA concentrations in the broth. The NIR predictions were compared with values obtained by offline reference methods. Prediction errors to these parameters were 1.18, 2.37 and 1.58gL(-1) for biomass, UCO and PHA, respectively, which indicate the suitability of the NIR spectroscopy method for online monitoring and as a method to assist bioreactor control. Copyright © 2014 Elsevier B.V. All rights reserved.

Source Water Quality Monitoring

EPA Science Inventory

Presentation will provide background information on continuous source water monitoring using online toxicity monitors and cover various tools available. Conceptual and practical aspects of source water quality monitoring will be discussed.

Engaging Youth Through Spatial Socio-Technical Storytelling, Participatory GIS, Agent-Based Modeling, Online Geogames and Action Projects

NASA Astrophysics Data System (ADS)

Poplin, A.; Shenk, L.; Krejci, C.; Passe, U.

2017-09-01

The main goal of this paper is to present the conceptual framework for engaging youth in urban planning activities that simultaneously create locally meaningful positive change. The framework for engaging youth interlinks the use of IT tools such as geographic information systems (GIS), agent-based modelling (ABM), online serious games, and mobile participatory geographic information systems with map-based storytelling and action projects. We summarize the elements of our framework and the first results gained in the program Community Growers established in a neighbourhood community of Des Moines, the capital of Iowa, USA. We conclude the paper with a discussion and future research directions.

Entropy-functional-based online adaptive decision fusion framework with application to wildfire detection in video.

PubMed

Gunay, Osman; Toreyin, Behçet Ugur; Kose, Kivanc; Cetin, A Enis

2012-05-01

In this paper, an entropy-functional-based online adaptive decision fusion (EADF) framework is developed for image analysis and computer vision applications. In this framework, it is assumed that the compound algorithm consists of several subalgorithms, each of which yields its own decision as a real number centered around zero, representing the confidence level of that particular subalgorithm. Decision values are linearly combined with weights that are updated online according to an active fusion method based on performing entropic projections onto convex sets describing subalgorithms. It is assumed that there is an oracle, who is usually a human operator, providing feedback to the decision fusion method. A video-based wildfire detection system was developed to evaluate the performance of the decision fusion algorithm. In this case, image data arrive sequentially, and the oracle is the security guard of the forest lookout tower, verifying the decision of the combined algorithm. The simulation results are presented.

Feedback control by online learning an inverse model.

PubMed

Waegeman, Tim; Wyffels, Francis; Schrauwen, Francis

2012-10-01

A model, predictor, or error estimator is often used by a feedback controller to control a plant. Creating such a model is difficult when the plant exhibits nonlinear behavior. In this paper, a novel online learning control framework is proposed that does not require explicit knowledge about the plant. This framework uses two learning modules, one for creating an inverse model, and the other for actually controlling the plant. Except for their inputs, they are identical. The inverse model learns by the exploration performed by the not yet fully trained controller, while the actual controller is based on the currently learned model. The proposed framework allows fast online learning of an accurate controller. The controller can be applied on a broad range of tasks with different dynamic characteristics. We validate this claim by applying our control framework on several control tasks: 1) the heating tank problem (slow nonlinear dynamics); 2) flight pitch control (slow linear dynamics); and 3) the balancing problem of a double inverted pendulum (fast linear and nonlinear dynamics). The results of these experiments show that fast learning and accurate control can be achieved. Furthermore, a comparison is made with some classical control approaches, and observations concerning convergence and stability are made.

MONITORING AND ASSESSING THE CONDITION OF AQUATIC RESOURCES: ROLE OF COMPLEX SURVEY DESIGN AND ANALYSIS

EPA Science Inventory

The National Water Quality Monitoring Council (NWQMC) developed a common framework for aquatic resource monitoring. The framework is described in a series of articles published in Water Resources IMPACT, September, 2003. One objective of the framework is to encourage consistenc...

A Framework for Finding and Summarizing Product Defects, and Ranking Helpful Threads from Online Customer Forums through Machine Learning

ERIC Educational Resources Information Center

Jiao, Jian

2013-01-01

The Internet has revolutionized the way users share and acquire knowledge. As important and popular Web-based applications, online discussion forums provide interactive platforms for users to exchange information and report problems. With the rapid growth of social networks and an ever increasing number of Internet users, online forums have…

Conformity under uncertainty: reliance on gender stereotypes in online hiring decisions.

PubMed

Uhlmann, Eric Luis; Silberzahn, Raphael

2014-02-01

We apply Bentley et al.'s theoretical framework to better understand gender discrimination in online labor markets. Although such settings are designed to encourage employer behavior in the northwest corner of Homo economicus, actual online hiring decisions tend to drift southeast into a "confirmation bias plus weak feedback loops" pattern of discrimination based on inaccurate social stereotypes.

Teacher Candidates in an Online Post-Baccalaureate Science Methods Course: Implications for Teaching Science Inquiry with Technology

ERIC Educational Resources Information Center

Colon, Erica L.

2010-01-01

Online learning is becoming more prevalent in today's education and is changing the way students learn and instructors teach. This study proposed using an informative case study design within a multilevel conceptual framework as teacher candidates were learning to teach and use science inquiry while in an online post-baccalaureate science methods…

South Carolina K-12 Online Schools: A Framework for Measuring Success in Teaching and Learning

ERIC Educational Resources Information Center

Stone, Carmen Mellisa Boatwright

2013-01-01

In the United States, K-12-12 online schools are growing, but research on the topic is limited. The purpose of this quantitative, correlational study was to determine if there was a relationship between teacher perceptions of the Effective Schools Correlates and student achievement within two South Carolina online high schools. The independent…

The Effects of Technology on the Community of Inquiry and Satisfaction with Online Courses

ERIC Educational Resources Information Center

Rubin, Beth; Fernandes, Ron; Avgerinou, Maria D.

2013-01-01

This paper extends the research on the Community of Inquiry (CoI) framework of understanding features of successful online learning to include the effects of the software used to support and facilitate it. This study examines how the Learning Management System (LMS) affords people the ability to take actions in an online course. A model is…

Efficient and Privacy-Preserving Online Medical Prediagnosis Framework Using Nonlinear SVM.

PubMed

Zhu, Hui; Liu, Xiaoxia; Lu, Rongxing; Li, Hui

2017-05-01

With the advances of machine learning algorithms and the pervasiveness of network terminals, the online medical prediagnosis system, which can provide the diagnosis of healthcare provider anywhere anytime, has attracted considerable interest recently. However, the flourish of online medical prediagnosis system still faces many challenges including information security and privacy preservation. In this paper, we propose an e fficient and privacy-preserving online medical prediagnosis framework, called eDiag, by using nonlinear kernel support vector machine (SVM). With eDiag, the sensitive personal health information can be processed without privacy disclosure during online prediagnosis service. Specifically, based on an improved expression for the nonlinear SVM, an efficient and privacy-preserving classification scheme is introduced with lightweight multiparty random masking and polynomial aggregation techniques. The encrypted user query is directly operated at the service provider without decryption, and the diagnosis result can only be decrypted by user. Through extensive analysis, we show that eDiag can ensure that users' health information and healthcare provider's prediction model are kept confidential, and has significantly less computation and communication overhead than existing schemes. In addition, performance evaluations via implementing eDiag on smartphone and computer demonstrate eDiag's effectiveness in term of real online environment.

Experimental demonstration of the real-time online fault monitoring technique for chaos-based passive optical networks

NASA Astrophysics Data System (ADS)

Dou, Xinyu; Yin, Hongxi; Yue, Hehe; Jin, Yu; Shen, Jing; Li, Lin

2015-09-01

In this paper, a real-time online fault monitoring technique for chaos-based passive optical networks (PONs) is proposed and experimentally demonstrated. The fault monitoring is performed by the chaotic communication signal. The proof-of-concept experiments are demonstrated for two PON structures, i.e., wavelength-division-multiplexing (WDM) PON and Ethernet PON (EPON), respectively. For WDM PON, two monitoring approaches are investigated, one deploying a chaotic optical time domain reflectometry (OTDR) for each transmitter, and the other using only one tunable chaotic OTDR. The experimental results show that the faults at beyond 20 km from the OLT can be detected and located. The spatial resolution of the tunable chaotic OTDR is an order of magnitude of centimeter. Meanwhile, the monitoring process can operate in parallel with the chaotic optical secure communications. The proposed technique has benefits of real-time, online, precise fault location, and simple realization, which will significantly reduce the cost of operation, administration and maintenance (OAM) of PON.

Source water monitoring and biomonitoring systems

EPA Science Inventory

Presentation will provide background information on continuous source water monitoring using online toxicity monitors and cover various tools available. Conceptual and practical aspects of source water quality monitoring will be discussed.

A Conceptual Framework for Monitoring Children's Services. Discussion Draft.

ERIC Educational Resources Information Center

Fiene, Richard

This discussion draft of a conceptual framework for monitoring children's services was prepared by Peat, Marwick and Co. for the Children's Services Monitoring Transfer Consortium (CFMCS), an organization spanning five states: California, Michigan, Pennsylvania, Texas, and West Virginia. The primary purpose of this conceptual framework was to…

Nested sampling at karst springs: from basic patterns to event triggered sampling and on-line monitoring.

NASA Astrophysics Data System (ADS)

Stadler, Hermann; Skritek, Paul; Zerobin, Wolfgang; Klock, Erich; Farnleitner, Andreas H.

2010-05-01

In the last year, global changes in ecosystems, the growth of population, and modifications of the legal framework within the EU have caused an increased need of qualitative groundwater and spring water monitoring with the target to continue to supply the consumers with high-quality drinking water in the future. Additionally the demand for sustainable protection of drinking water resources effected the initiated implementation of early warning systems and quality assurance networks in water supplies. In the field of hydrogeological investigations, event monitoring and event sampling is worst case scenario monitoring. Therefore, such tools become more and more indispensible to get detailed information about aquifer parameter and vulnerability. In the framework of water supplies, smart sampling designs combined with in-situ measurements of different parameters and on-line access can play an important role in early warning systems and quality surveillance networks. In this study nested sampling tiers are presented, which were designed to cover total system dynamic. Basic monitoring sampling (BMS), high frequency sampling (HFS) and automated event sampling (AES) were combined. BMS was organized with a monthly increment for at least two years, and HFS was performed during times of increased groundwater recharge (e.g. during snowmelt). At least one AES tier was embedded in this system. AES was enabled by cross-linking of hydrological stations, so the system could be run fully automated and could include real-time availability of data. By means of networking via Low Earth Orbiting Satellites (LEO-satellites), data from the precipitation station (PS) in the catchment area are brought together with data from the spring sampling station (SSS) without the need of terrestrial infrastructure for communication and power supply. Furthermore, the whole course of input and output parameters, like precipitation (input system) and discharge (output system), and the status of the sampling system is transmitted via LEO-Satellites to a Central Monitoring Station (CMS), which can be linked with a web-server to have unlimited real-time data access. The automatically generated notice of event to a local service team of the sampling station is transmitted in combination with internet, GSM, GPRS or LEO-Satellites. If a GPRS-network is available for the stations, this system could be realized also via this network. However, one great problem of these terrestrial communication systems is the risk of default when their networks are overloaded, like during flood events or thunderstorms. Therefore, in addition, it is necessary to have the possibility to transmit the measured values via communication satellites when a terrestrial infrastructure is not available. LEO-satellites are especially useful in the alpine regions because they have no deadspots, but only sometimes latency periods. In the workouts we combined in-situ measurements (precipitation, electrical conductivity, discharge, water temperature, spectral absorption coefficient, turbidity) with time increments from 1 to 15 minutes with data from the different sampling tires (environmental isotopes, chemical, mineralogical and bacteriological data).

The Features of Effective Online Professional Development for Early Childhood Educators

ERIC Educational Resources Information Center

Ascetta, Kate Elisabeth

2017-01-01

The purpose of this current study was to examine the effect of a preschool teacher intervention around the use self-monitoring and the online learning modules. The interventions were delivered online using: online learning modules that provided exemplars of the operationally defined instructional language supports. The study included 12 Head Start…

Quality Indicators of Online Programs

ERIC Educational Resources Information Center

Hirner, Leo; Kochtanek, Thomas

2012-01-01

The continued growth of online programs in higher education has resulted in concerns about how institutions monitor the quality of their online programs. These concerns indicate a need for a process by which online programs may be evaluated and compared. They provided the impetus for this study, the goals of which were to identify quality…

A re-conceptualization of access for 21st century healthcare.

PubMed

Fortney, John C; Burgess, James F; Bosworth, Hayden B; Booth, Brenda M; Kaboli, Peter J

2011-11-01

Many e-health technologies are available to promote virtual patient-provider communication outside the context of face-to-face clinical encounters. Current digital communication modalities include cell phones, smartphones, interactive voice response, text messages, e-mails, clinic-based interactive video, home-based web-cams, mobile smartphone two-way cameras, personal monitoring devices, kiosks, dashboards, personal health records, web-based portals, social networking sites, secure chat rooms, and on-line forums. Improvements in digital access could drastically diminish the geographical, temporal, and cultural access problems faced by many patients. Conversely, a growing digital divide could create greater access disparities for some populations. As the paradigm of healthcare delivery evolves towards greater reliance on non-encounter-based digital communications between patients and their care teams, it is critical that our theoretical conceptualization of access undergoes a concurrent paradigm shift to make it more relevant for the digital age. The traditional conceptualizations and indicators of access are not well adapted to measure access to health services that are delivered digitally outside the context of face-to-face encounters with providers. This paper provides an overview of digital "encounterless" utilization, discusses the weaknesses of traditional conceptual frameworks of access, presents a new access framework, provides recommendations for how to measure access in the new framework, and discusses future directions for research on access.

An approach to online network monitoring using clustered patterns

DOE Office of Scientific and Technical Information (OSTI.GOV)

Kim, Jinoh; Sim, Alex; Suh, Sang C.

Network traffic monitoring is a core element in network operations and management for various purposes such as anomaly detection, change detection, and fault/failure detection. In this study, we introduce a new approach to online monitoring using a pattern-based representation of the network traffic. Unlike the past online techniques limited to a single variable to summarize (e.g., sketch), the focus of this study is on capturing the network state from the multivariate attributes under consideration. To this end, we employ clustering with its benefit of the aggregation of multidimensional variables. The clustered result represents the state of the network with regardmore » to the monitored variables, which can also be compared with the previously observed patterns visually and quantitatively. Finally, we demonstrate the proposed method with two popular use cases, one for estimating state changes and the other for identifying anomalous states, to confirm its feasibility.« less

Prediction of Fatigue Crack Growth in Gas Turbine Engine Blades Using Acoustic Emission

PubMed Central

Zhang, Zhiheng; Yang, Guoan; Hu, Kun

2018-01-01

Fatigue failure is the main type of failure that occurs in gas turbine engine blades and an online monitoring method for detecting fatigue cracks in blades is urgently needed. Therefore, in this present study, we propose the use of acoustic emission (AE) monitoring for the online identification of the blade status. Experiments on fatigue crack propagation based on the AE monitoring of gas turbine engine blades and TC11 titanium alloy plates were conducted. The relationship between the cumulative AE hits and the fatigue crack length was established, before a method of using the AE parameters to determine the crack propagation stage was proposed. A method for predicting the degree of crack propagation and residual fatigue life based on the AE energy was obtained. The results provide a new method for the online monitoring of cracks in the gas turbine engine blade. PMID:29693556

Prediction of Fatigue Crack Growth in Gas Turbine Engine Blades Using Acoustic Emission.

PubMed

Zhang, Zhiheng; Yang, Guoan; Hu, Kun

2018-04-25

Fatigue failure is the main type of failure that occurs in gas turbine engine blades and an online monitoring method for detecting fatigue cracks in blades is urgently needed. Therefore, in this present study, we propose the use of acoustic emission (AE) monitoring for the online identification of the blade status. Experiments on fatigue crack propagation based on the AE monitoring of gas turbine engine blades and TC11 titanium alloy plates were conducted. The relationship between the cumulative AE hits and the fatigue crack length was established, before a method of using the AE parameters to determine the crack propagation stage was proposed. A method for predicting the degree of crack propagation and residual fatigue life based on the AE energy was obtained. The results provide a new method for the online monitoring of cracks in the gas turbine engine blade.

Smart storage technologies applied to fresh foods: A review.

PubMed

Wang, Jingyu; Zhang, Min; Gao, Zhongxue; Adhikari, Benu

2017-06-30

Fresh foods are perishable, seasonal and regional in nature and their storage, transportation, and preservation of freshness are quite challenging. Smart storage technologies can online detection and monitor the changes of quality parameters and storage environment of fresh foods during storage, so that operators can make timely adjustments to reduce the loss. This article reviews the smart storage technologies from two aspects: online detection technologies and smartly monitoring technologies for fresh foods. Online detection technologies include electronic nose, nuclear magnetic resonance (NMR), near infrared spectroscopy (NIRS), hyperspectral imaging and computer vision. Smartly monitoring technologies mainly include some intelligent indicators for monitoring the change of storage environment. Smart storage technologies applied to fresh foods need to be highly efficient and nondestructive and need to be competitively priced. In this work, we have critically reviewed the principles, applications, and development trends of smart storage technologies.

An approach to online network monitoring using clustered patterns

DOE PAGES

Kim, Jinoh; Sim, Alex; Suh, Sang C.; ...

2017-03-13

Network traffic monitoring is a core element in network operations and management for various purposes such as anomaly detection, change detection, and fault/failure detection. In this study, we introduce a new approach to online monitoring using a pattern-based representation of the network traffic. Unlike the past online techniques limited to a single variable to summarize (e.g., sketch), the focus of this study is on capturing the network state from the multivariate attributes under consideration. To this end, we employ clustering with its benefit of the aggregation of multidimensional variables. The clustered result represents the state of the network with regardmore » to the monitored variables, which can also be compared with the previously observed patterns visually and quantitatively. Finally, we demonstrate the proposed method with two popular use cases, one for estimating state changes and the other for identifying anomalous states, to confirm its feasibility.« less

Virtual-Instrument-Based Online Monitoring System for Hands-on Laboratory Experiment of Partial Discharges

ERIC Educational Resources Information Center

Karmakar, Subrata

2017-01-01

Online monitoring of high-voltage (HV) equipment is a vital tool for early detection of insulation failure. Most insulation failures are caused by partial discharges (PDs) inside the HV equipment. Because of the very high cost of establishing HV equipment facility and the limitations of electromagnetic interference-screened laboratories, only a…

Comparing Elicited Imitation and Word Monitoring as Measures of Implicit Knowledge

ERIC Educational Resources Information Center

Suzuki, Yuichi; DeKeyser, Robert

2015-01-01

The present study challenges the validity of elicited imitation (EI) as a measure for implicit knowledge, investigating to what extent online error detection and subsequent sentence repetition draw on implicit knowledge. To assess online detection during listening, a word monitoring component was built into an EI task. Advanced-level Japanese L2…

Development and Multi-laboratory Verification of US EPA Method 543 for the Analysis of Drinking Water Contaminants by Online Solid Phase Extraction-LC–MS-MS

EPA Science Inventory

A drinking water method for seven pesticides and pesticide degradates is presented that addresses the occurrence monitoring needs of the US Environmental Protection Agency (EPA) for a future Unregulated Contaminant Monitoring Regulation (UCMR). The method employs online solid pha...

A Framework for Classifying Online Mental Health-Related Communities With an Interest in Depression.

PubMed

Saha, Budhaditya; Nguyen, Thin; Phung, Dinh; Venkatesh, Svetha

2016-07-01

Mental illness has a deep impact on individuals, families, and by extension, society as a whole. Social networks allow individuals with mental disorders to communicate with others sufferers via online communities, providing an invaluable resource for studies on textual signs of psychological health problems. Mental disorders often occur in combinations, e.g., a patient with an anxiety disorder may also develop depression. This co-occurring mental health condition provides the focus for our work on classifying online communities with an interest in depression. For this, we have crawled a large body of 620 000 posts made by 80 000 users in 247 online communities. We have extracted the topics and psycholinguistic features expressed in the posts, using these as inputs to our model. Following a machine learning technique, we have formulated a joint modeling framework in order to classify mental health-related co-occurring online communities from these features. Finally, we performed empirical validation of the model on the crawled dataset where our model outperforms recent state-of-the-art baselines.

Web design and development for centralize area radiation monitoring system in Malaysian Nuclear Agency

NASA Astrophysics Data System (ADS)

Ibrahim, Maslina Mohd; Yussup, Nolida; Haris, Mohd Fauzi; Soh @ Shaari, Syirrazie Che; Azman, Azraf; Razalim, Faizal Azrin B. Abdul; Yapp, Raymond; Hasim, Harzawardi; Aslan, Mohd Dzul Aiman

2017-01-01

One of the applications for radiation detector is area monitoring which is crucial for safety especially at a place where radiation source is involved. An environmental radiation monitoring system is a professional system that combines flexibility and ease of use for data collection and monitoring. Nowadays, with the growth of technology, devices and equipment can be connected to the network and Internet to enable online data acquisition. This technology enables data from the area monitoring devices to be transmitted to any place and location directly and faster. In Nuclear Malaysia, area radiation monitor devices are located at several selective locations such as laboratories and radiation facility. This system utilizes an Ethernet as a communication media for data acquisition of the area radiation levels from radiation detectors and stores the data at a server for recording and analysis. This paper discusses on the design and development of website that enable all user in Nuclear Malaysia to access and monitor the radiation level for each radiation detectors at real time online. The web design also included a query feature for history data from various locations online. The communication between the server's software and web server is discussed in detail in this paper.

Novel online monitoring and alert system for anaerobic digestion reactors.

PubMed

Dong, Fang; Zhao, Quan-Bao; Li, Wen-Wei; Sheng, Guo-Ping; Zhao, Jin-Bao; Tang, Yong; Yu, Han-Qing; Kubota, Kengo; Li, Yu-You; Harada, Hideki

2011-10-15

Effective monitoring and diagnosis of anaerobic digestion processes is a great challenge for anaerobic digestion reactors, which limits their stable operation. In this work, an online monitoring and alert system for upflow anaerobic sludge blanket (UASB) reactors is developed on the basis of a set of novel evaluating indexes. The two indexes, i.e., stability index S and auxiliary index a, which incorporate both gas- and liquid-phase parameters for UASB, enable a quantitative and comprehensive evaluation of reactor status. A series of shock tests is conducted to evaluate the response of the monitoring and alert system to organic overloading, hydraulic, temperature, and toxicant shocks. The results show that this system enables an accurate and rapid monitoring and diagnosis of the reactor status, and offers reliable early warnings on the potential risks. As the core of this system, the evaluating indexes are demonstrated to be of high accuracy and sensitivity in process evaluation and good adaptability to the artificial intelligence and automated control apparatus. This online monitoring and alert system presents a valuable effort to promote the automated monitoring and control of anaerobic digestion process, and holds a high promise for application.

On-road anomaly detection by multimodal sensor analysis and multimedia processing

NASA Astrophysics Data System (ADS)

Orhan, Fatih; Eren, P. E.

2014-03-01

The use of smartphones in Intelligent Transportation Systems is gaining popularity, yet many challenges exist in developing functional applications. Due to the dynamic nature of transportation, vehicular social applications face complexities such as developing robust sensor management, performing signal and image processing tasks, and sharing information among users. This study utilizes a multimodal sensor analysis framework which enables the analysis of sensors in multimodal aspect. It also provides plugin-based analyzing interfaces to develop sensor and image processing based applications, and connects its users via a centralized application as well as to social networks to facilitate communication and socialization. With the usage of this framework, an on-road anomaly detector is being developed and tested. The detector utilizes the sensors of a mobile device and is able to identify anomalies such as hard brake, pothole crossing, and speed bump crossing. Upon such detection, the video portion containing the anomaly is automatically extracted in order to enable further image processing analysis. The detection results are shared on a central portal application for online traffic condition monitoring.

Development of on-line monitoring system for Nuclear Power Plant (NPP) using neuro-expert, noise analysis, and modified neural networks

DOE Office of Scientific and Technical Information (OSTI.GOV)

Subekti, M.; Center for Development of Reactor Safety Technology, National Nuclear Energy Agency of Indonesia, Puspiptek Complex BO.80, Serpong-Tangerang, 15340; Ohno, T.

2006-07-01

The neuro-expert has been utilized in previous monitoring-system research of Pressure Water Reactor (PWR). The research improved the monitoring system by utilizing neuro-expert, conventional noise analysis and modified neural networks for capability extension. The parallel method applications required distributed architecture of computer-network for performing real-time tasks. The research aimed to improve the previous monitoring system, which could detect sensor degradation, and to perform the monitoring demonstration in High Temperature Engineering Tested Reactor (HTTR). The developing monitoring system based on some methods that have been tested using the data from online PWR simulator, as well as RSG-GAS (30 MW research reactormore » in Indonesia), will be applied in HTTR for more complex monitoring. (authors)« less

A framework to explore the knowledge structure of multidisciplinary research fields.

PubMed

Uddin, Shahadat; Khan, Arif; Baur, Louise A

2015-01-01

Understanding emerging areas of a multidisciplinary research field is crucial for researchers, policymakers and other stakeholders. For them a knowledge structure based on longitudinal bibliographic data can be an effective instrument. But with the vast amount of available online information it is often hard to understand the knowledge structure for data. In this paper, we present a novel approach for retrieving online bibliographic data and propose a framework for exploring knowledge structure. We also present several longitudinal analyses to interpret and visualize the last 20 years of published obesity research data.

Creating a Novel Online Digital Badge-Awarding Program in Patient Navigation to Address Healthcare Access.

PubMed

Rohan, Annie J; Fullerton, Judith; Escallier, Lori A; Pati, Susmita

A novel, sustainable digital badge-awarding online course was developed to prepare learners with familiarity of patient navigation. Learners offered favorable endorsement of essentially all elements of the program, especially the utility of the Blackboard learning management software program. Quality Matters standards provided a rigorous framework for the challenges of designing, implementing, and evaluating online curricula. Online education is an effective method for meeting the professional development needs of those seeking careers in care coordination/patient navigation.

Online PH measurement technique in seawater desalination

NASA Astrophysics Data System (ADS)

Wang, Haibo; Wu, Kaihua; Hu, Shaopeng

2009-11-01

The measurement technology of pH is essential in seawater desalination. Glass electrode is the main pH sensor in seawater desalination. Because the internal impedance of glass electrode is high and the signal of pH sensor is easy to be disturbed, a signal processing circuit with high input impedance was designed. Because of high salinity of seawater and the characteristic of glass electrode, ultrasonic cleaning technology was used to online clean pH sensor. Temperature compensation was also designed to reduce the measurement error caused by variety of environment temperature. Additionally, the potential drift of pH sensor was analyzed and an automatic calibration method was proposed. In order to online monitor the variety of pH in seawater desalination, three operating modes were designed. The three modes are online monitoring mode, ultrasonic cleaning mode and auto-calibration mode. The current pH in seawater desalination was measured and displayed in online monitoring mode. The cleaning process of pH sensor was done in ultrasonic cleaning mode. The calibration of pH sensor was finished in auto-calibration mode. The result of experiments showed that the measurement technology of pH could meet the technical requirements for desalination. The glass electrode could be promptly and online cleaned and its service life was lengthened greatly.

Influence of local calibration on the quality of online wet weather discharge monitoring: feedback from five international case studies.

PubMed

Caradot, Nicolas; Sonnenberg, Hauke; Rouault, Pascale; Gruber, Günter; Hofer, Thomas; Torres, Andres; Pesci, Maria; Bertrand-Krajewski, Jean-Luc

2015-01-01

This paper reports about experiences gathered from five online monitoring campaigns in the sewer systems of Berlin (Germany), Graz (Austria), Lyon (France) and Bogota (Colombia) using ultraviolet-visible (UV-VIS) spectrometers and turbidimeters. Online probes are useful for the measurement of highly dynamic processes, e.g. combined sewer overflows (CSO), storm events, and river impacts. The influence of local calibration on the quality of online chemical oxygen demand (COD) measurements of wet weather discharges has been assessed. Results underline the need to establish local calibration functions for both UV-VIS spectrometers and turbidimeters. It is suggested that practitioners calibrate locally their probes using at least 15-20 samples. However, these samples should be collected over several events and cover most of the natural variability of the measured concentration. For this reason, the use of automatic peristaltic samplers in parallel to online monitoring is recommended with short representative sampling campaigns during wet weather discharges. Using reliable calibration functions, COD loads of CSO and storm events can be estimated with a relative uncertainty of approximately 20%. If no local calibration is established, concentrations and loads are estimated with a high error rate, questioning the reliability and meaning of the online measurement. Similar results have been obtained for total suspended solids measurements.

uCollaborator: Framework for STEM Project Collaboration among Geographically-Dispersed Student/Faculty Teams

ERIC Educational Resources Information Center

Fiore, Stephen M.; Rodriguez, Walter E.; Carstens, Deborah S.

2012-01-01

This paper presents a framework for facilitating communication among STEM project teams that are geographically dispersed in synchronous or asynchronous online courses. The framework has been developed to: (a) improve how engineering and technology students and faculty work with collocated and geographically-dispersed teams; and (b) to connect the…

The Impact of Online Faculty Characteristics on Student Satisfaction via the Community of Inquiry Framework

ERIC Educational Resources Information Center

Patrizi, Larry A.

2010-01-01

This study examined the relationship between student satisfaction with faculty characteristics via the community of inquiry (CoI) framework. The CoI framework includes cognitive presence, social presence, and teaching presence. Subsets of teaching presence were explored more deeply by including subsets facilitation of discourse and direct…

AMRZone: A Runtime AMR Data Sharing Framework For Scientific Applications

DOE Office of Scientific and Technical Information (OSTI.GOV)

Zhang, Wenzhao; Tang, Houjun; Harenberg, Steven

Frameworks that facilitate runtime data sharing across multiple applications are of great importance for scientific data analytics. Although existing frameworks work well over uniform mesh data, they can not effectively handle adaptive mesh refinement (AMR) data. Among the challenges to construct an AMR-capable framework include: (1) designing an architecture that facilitates online AMR data management; (2) achieving a load-balanced AMR data distribution for the data staging space at runtime; and (3) building an effective online index to support the unique spatial data retrieval requirements for AMR data. Towards addressing these challenges to support runtime AMR data sharing across scientific applications,more » we present the AMRZone framework. Experiments over real-world AMR datasets demonstrate AMRZone's effectiveness at achieving a balanced workload distribution, reading/writing large-scale datasets with thousands of parallel processes, and satisfying queries with spatial constraints. Moreover, AMRZone's performance and scalability are even comparable with existing state-of-the-art work when tested over uniform mesh data with up to 16384 cores; in the best case, our framework achieves a 46% performance improvement.« less

An investigation of social media data during a product recall scandal

NASA Astrophysics Data System (ADS)

Tse, Ying Kei; Loh, Hanlin; Ding, Juling; Zhang, Minhao

2018-07-01

As social media has become an important part of modern daily life, users often share product opinions online and these tend to spike when large companies undergo crises. This paper investigates customer online responses to a large company crisis by uncovering hidden insights in social media comments and presents a framework for handling social media data and crisis management. Analysis of textual Facebook data from users responding to the 2013 horsemeat scandal is presented. In this study, we used a novel comprehensive data analysis framework alongside a text-mining framework to objectively classify and understand customer perceptions during this horsemeat scandal. This framework provides an effective approach for investigating customer perception during a company crisis and measures the effectiveness of crisis management practices which the company has adopted. Our analyses show that social media can provide important insights into customer behaviour during crisis communications.

Hierarchy of Gambling Choices: A Framework for Examining EGM Gambling Environment Preferences.

PubMed

Thorne, Hannah Briony; Rockloff, Matthew Justus; Langham, Erika; Li, En

2016-12-01

This paper presents the Hierarchy of Gambling Choices (HGC), which is a consumer-oriented framework for understanding the key environmental and contextual features that influence peoples' selections of online and venue-based electronic gaming machines (EGMs). The HGC framework proposes that EGM gamblers make choices in selection of EGM gambling experiences utilising Tversky's (Psychol Rev 79(4):281-299, 1972). Elimination-by-Aspects model, and organise their choice in a hierarchical manner by virtue of EGMs being an "experience good" (Nelson in J Polit Econ 78(2):311-329, 1970). EGM features are divided into three levels: the platform-including, online, mobile or land-based; the provider or specific venue in which the gambling occurs; and the game or machine characteristics, such as graphical themes and bonus features. This framework will contribute to the gambling field by providing a manner in which to systematically explore the environment surrounding EGM gambling and how it affects behaviour.

How social network analysis can be used to monitor online collaborative learning and guide an informed intervention

PubMed Central

Fors, Uno; Tedre, Matti; Nouri, Jalal

2018-01-01

To ensure online collaborative learning meets the intended pedagogical goals (is actually collaborative and stimulates learning), mechanisms are needed for monitoring the efficiency of online collaboration. Various studies have indicated that social network analysis can be particularly effective in studying students’ interactions in online collaboration. However, research in education has only focused on the theoretical potential of using SNA, not on the actual benefits they achieved. This study investigated how social network analysis can be used to monitor online collaborative learning, find aspects in need of improvement, guide an informed intervention, and assess the efficacy of intervention using an experimental, observational repeated-measurement design in three courses over a full-term duration. Using a combination of SNA-based visual and quantitative analysis, we monitored three SNA constructs for each participant: the level of interactivity, the role, and position in information exchange, and the role played by each participant in the collaboration. On the group level, we monitored interactivity and group cohesion indicators. Our monitoring uncovered a non-collaborative teacher-centered pattern of interactions in the three studied courses as well as very few interactions among students, limited information exchange or negotiation, and very limited student networks dominated by the teacher. An intervention based on SNA-generated insights was designed. The intervention was structured into five actions: increasing awareness, promoting collaboration, improving the content, preparing teachers, and finally practicing with feedback. Evaluation of the intervention revealed that it has significantly enhanced student-student interactions and teacher-student interactions, as well as produced a collaborative pattern of interactions among most students and teachers. Since efficient and communicative activities are essential prerequisites for successful content discussion and for realizing the goals of collaboration, we suggest that our SNA-based approach will positively affect teaching and learning in many educational domains. Our study offers a proof-of-concept of what SNA can add to the current tools for monitoring and supporting teaching and learning in higher education. PMID:29566058

How social network analysis can be used to monitor online collaborative learning and guide an informed intervention.

PubMed

Saqr, Mohammed; Fors, Uno; Tedre, Matti; Nouri, Jalal

2018-01-01

To ensure online collaborative learning meets the intended pedagogical goals (is actually collaborative and stimulates learning), mechanisms are needed for monitoring the efficiency of online collaboration. Various studies have indicated that social network analysis can be particularly effective in studying students' interactions in online collaboration. However, research in education has only focused on the theoretical potential of using SNA, not on the actual benefits they achieved. This study investigated how social network analysis can be used to monitor online collaborative learning, find aspects in need of improvement, guide an informed intervention, and assess the efficacy of intervention using an experimental, observational repeated-measurement design in three courses over a full-term duration. Using a combination of SNA-based visual and quantitative analysis, we monitored three SNA constructs for each participant: the level of interactivity, the role, and position in information exchange, and the role played by each participant in the collaboration. On the group level, we monitored interactivity and group cohesion indicators. Our monitoring uncovered a non-collaborative teacher-centered pattern of interactions in the three studied courses as well as very few interactions among students, limited information exchange or negotiation, and very limited student networks dominated by the teacher. An intervention based on SNA-generated insights was designed. The intervention was structured into five actions: increasing awareness, promoting collaboration, improving the content, preparing teachers, and finally practicing with feedback. Evaluation of the intervention revealed that it has significantly enhanced student-student interactions and teacher-student interactions, as well as produced a collaborative pattern of interactions among most students and teachers. Since efficient and communicative activities are essential prerequisites for successful content discussion and for realizing the goals of collaboration, we suggest that our SNA-based approach will positively affect teaching and learning in many educational domains. Our study offers a proof-of-concept of what SNA can add to the current tools for monitoring and supporting teaching and learning in higher education.

Optofluidic UV-Vis spectrophotometer for online monitoring of photocatalytic reactions

NASA Astrophysics Data System (ADS)

Wang, Ning; Tan, Furui; Zhao, Yu; Tsoi, Chi Chung; Fan, Xudong; Yu, Weixing; Zhang, Xuming

2016-06-01

On-chip integration of optical detection units into the microfluidic systems for online monitoring is highly desirable for many applications and is also well in line with the spirit of optofluidics technology-fusion of optics and microfluidics for advanced functionalities. This paper reports the construction of a UV-Vis spectrophotometer on a microreactor, and demonstrates the online monitoring of the photocatalytic degradations of methylene blue and methyl orange under different flow rates and different pH values by detecting the intensity change and/or the peak shift. The integrated device consists of a TiO2-coated glass substrate, a PDMS micro-sized reaction chamber and two flow cells. By comparing with the results of commercial equipment, we have found that the measuring range and the sensitivity are acceptable, especially when the transmittance is in the range of 0.01-0.9. This integrated optofluidic device can significantly cut down the test time and the sample volume, and would provide a versatile platform for real-time characterization of photochemical performance. Moreover, its online monitoring capability may enable to access the usually hidden information in biochemical reactions like intermediate products, time-dependent processes and reaction kinetics.

Optofluidic UV-Vis spectrophotometer for online monitoring of photocatalytic reactions

PubMed Central

Wang, Ning; Tan, Furui; Zhao, Yu; Tsoi, Chi Chung; Fan, Xudong; Yu, Weixing; Zhang, Xuming

2016-01-01

On-chip integration of optical detection units into the microfluidic systems for online monitoring is highly desirable for many applications and is also well in line with the spirit of optofluidics technology–fusion of optics and microfluidics for advanced functionalities. This paper reports the construction of a UV-Vis spectrophotometer on a microreactor, and demonstrates the online monitoring of the photocatalytic degradations of methylene blue and methyl orange under different flow rates and different pH values by detecting the intensity change and/or the peak shift. The integrated device consists of a TiO2-coated glass substrate, a PDMS micro-sized reaction chamber and two flow cells. By comparing with the results of commercial equipment, we have found that the measuring range and the sensitivity are acceptable, especially when the transmittance is in the range of 0.01–0.9. This integrated optofluidic device can significantly cut down the test time and the sample volume, and would provide a versatile platform for real-time characterization of photochemical performance. Moreover, its online monitoring capability may enable to access the usually hidden information in biochemical reactions like intermediate products, time-dependent processes and reaction kinetics. PMID:27352840

Optofluidic UV-Vis spectrophotometer for online monitoring of photocatalytic reactions.

PubMed

Wang, Ning; Tan, Furui; Zhao, Yu; Tsoi, Chi Chung; Fan, Xudong; Yu, Weixing; Zhang, Xuming

2016-06-29

On-chip integration of optical detection units into the microfluidic systems for online monitoring is highly desirable for many applications and is also well in line with the spirit of optofluidics technology-fusion of optics and microfluidics for advanced functionalities. This paper reports the construction of a UV-Vis spectrophotometer on a microreactor, and demonstrates the online monitoring of the photocatalytic degradations of methylene blue and methyl orange under different flow rates and different pH values by detecting the intensity change and/or the peak shift. The integrated device consists of a TiO2-coated glass substrate, a PDMS micro-sized reaction chamber and two flow cells. By comparing with the results of commercial equipment, we have found that the measuring range and the sensitivity are acceptable, especially when the transmittance is in the range of 0.01-0.9. This integrated optofluidic device can significantly cut down the test time and the sample volume, and would provide a versatile platform for real-time characterization of photochemical performance. Moreover, its online monitoring capability may enable to access the usually hidden information in biochemical reactions like intermediate products, time-dependent processes and reaction kinetics.

Adventure Learning: Transformative Hybrid Online Education

ERIC Educational Resources Information Center

Doering, Aaron

2006-01-01

Adventure learning (AL) is a hybrid distance education approach that provides students with opportunities to explore real-world issues through authentic learning experiences within collaborative learning environments. This article defines this online distance education approach, outlines an AL framework, and showcases an AL archetype. In AL…

Vocational Learning outside Institutions: Online Pedagogy and Deschooling.

ERIC Educational Resources Information Center

Whittington, Dave; McLean, Alan

2001-01-01

Using Illich's "Deschooling Society" as a framework, argues that online learning's flexibility and capacity to support dialogue will profoundly change vocational learning and challenge established institutions' dominance in vocational education and training. Calls for an inclusive approach involving informal learning and access for those…

Real-time monitoring of capacity loss for vanadium redox flow battery

NASA Astrophysics Data System (ADS)

Wei, Zhongbao; Bhattarai, Arjun; Zou, Changfu; Meng, Shujuan; Lim, Tuti Mariana; Skyllas-Kazacos, Maria

2018-06-01

The long-term operation of the vanadium redox flow battery is accompanied by ion diffusion across the separator and side reactions, which can lead to electrolyte imbalance and capacity loss. The accurate online monitoring of capacity loss is therefore valuable for the reliable and efficient operation of vanadium redox flow battery system. In this paper, a model-based online monitoring method is proposed to detect capacity loss in the vanadium redox flow battery in real time. A first-order equivalent circuit model is built to capture the dynamics of the vanadium redox flow battery. The model parameters are online identified from the onboard measureable signals with the recursive least squares, in seeking to keep a high modeling accuracy and robustness under a wide range of working scenarios. Based on the online adapted model, an observer is designed with the extended Kalman Filter to keep tracking both the capacity and state of charge of the battery in real time. Experiments are conducted on a lab-scale battery system. Results suggest that the online adapted model is able to simulate the battery behavior with high accuracy. The capacity loss as well as the state of charge can be estimated accurately in a real-time manner.

19 CFR 360.102 - Online registration.

Code of Federal Regulations, 2010 CFR

2010-04-01

... 19 Customs Duties 3 2010-04-01 2010-04-01 false Online registration. 360.102 Section 360.102 Customs Duties INTERNATIONAL TRADE ADMINISTRATION, DEPARTMENT OF COMMERCE STEEL IMPORT MONITORING AND ANALYSIS SYSTEM § 360.102 Online registration. (a) In general. (1) Any importer, importing company, customs...

19 CFR 360.102 - Online registration.

Code of Federal Regulations, 2012 CFR

2012-04-01

... 19 Customs Duties 3 2012-04-01 2012-04-01 false Online registration. 360.102 Section 360.102 Customs Duties INTERNATIONAL TRADE ADMINISTRATION, DEPARTMENT OF COMMERCE STEEL IMPORT MONITORING AND ANALYSIS SYSTEM § 360.102 Online registration. (a) In general. (1) Any importer, importing company, customs...

19 CFR 360.102 - Online registration.

Code of Federal Regulations, 2013 CFR

2013-04-01

... 19 Customs Duties 3 2013-04-01 2013-04-01 false Online registration. 360.102 Section 360.102 Customs Duties INTERNATIONAL TRADE ADMINISTRATION, DEPARTMENT OF COMMERCE STEEL IMPORT MONITORING AND ANALYSIS SYSTEM § 360.102 Online registration. (a) In general. (1) Any importer, importing company, customs...

19 CFR 360.102 - Online registration.

Code of Federal Regulations, 2014 CFR

2014-04-01

... 19 Customs Duties 3 2014-04-01 2014-04-01 false Online registration. 360.102 Section 360.102 Customs Duties INTERNATIONAL TRADE ADMINISTRATION, DEPARTMENT OF COMMERCE STEEL IMPORT MONITORING AND ANALYSIS SYSTEM § 360.102 Online registration. (a) In general. (1) Any importer, importing company, customs...

19 CFR 360.102 - Online registration.

Code of Federal Regulations, 2011 CFR

2011-04-01

... 19 Customs Duties 3 2011-04-01 2011-04-01 false Online registration. 360.102 Section 360.102 Customs Duties INTERNATIONAL TRADE ADMINISTRATION, DEPARTMENT OF COMMERCE STEEL IMPORT MONITORING AND ANALYSIS SYSTEM § 360.102 Online registration. (a) In general. (1) Any importer, importing company, customs...

Application of a mechanistic model as a tool for on-line monitoring of pilot scale filamentous fungal fermentation processes-The importance of evaporation effects.

PubMed

Mears, Lisa; Stocks, Stuart M; Albaek, Mads O; Sin, Gürkan; Gernaey, Krist V

2017-03-01

A mechanistic model-based soft sensor is developed and validated for 550L filamentous fungus fermentations operated at Novozymes A/S. The soft sensor is comprised of a parameter estimation block based on a stoichiometric balance, coupled to a dynamic process model. The on-line parameter estimation block models the changing rates of formation of product, biomass, and water, and the rate of consumption of feed using standard, available on-line measurements. This parameter estimation block, is coupled to a mechanistic process model, which solves the current states of biomass, product, substrate, dissolved oxygen and mass, as well as other process parameters including k L a, viscosity and partial pressure of CO 2 . State estimation at this scale requires a robust mass model including evaporation, which is a factor not often considered at smaller scales of operation. The model is developed using a historical data set of 11 batches from the fermentation pilot plant (550L) at Novozymes A/S. The model is then implemented on-line in 550L fermentation processes operated at Novozymes A/S in order to validate the state estimator model on 14 new batches utilizing a new strain. The product concentration in the validation batches was predicted with an average root mean sum of squared error (RMSSE) of 16.6%. In addition, calculation of the Janus coefficient for the validation batches shows a suitably calibrated model. The robustness of the model prediction is assessed with respect to the accuracy of the input data. Parameter estimation uncertainty is also carried out. The application of this on-line state estimator allows for on-line monitoring of pilot scale batches, including real-time estimates of multiple parameters which are not able to be monitored on-line. With successful application of a soft sensor at this scale, this allows for improved process monitoring, as well as opening up further possibilities for on-line control algorithms, utilizing these on-line model outputs. Biotechnol. Bioeng. 2017;114: 589-599. © 2016 Wiley Periodicals, Inc. © 2016 Wiley Periodicals, Inc.

Validation of a Conceptual Quality Framework for Online and Blended Learning with Success Factors and Indicators in Adult Education: A Qualitative Study

ERIC Educational Resources Information Center

Blieck, Yves; Ooghe, Ilse; Zhu, Chang; Depryck, Koen; Struyven, Katrien; Pynoo, Bram; Van Laer, Hilde

2017-01-01

This qualitative study was designed to identify a framework for the quality of OBL in adult education (AE), which are of interest to the needs of students. Following a review of the literature, we opted for the theoretical framework as proposed by Ossiannilsson and Landgren (2012). This framework suggests success factors for OBL that are of…

An Analysis of Online Course Ratings Using the Community of Inquiry Theoretical Framework, Following Instructor Participation in San Diego State University's Course Design Institute

ERIC Educational Resources Information Center

Marshall, James; Hauze, Sean; Denman, Phil; Frazee, James; Laumakis, Mark

2017-01-01

San Diego State University's Course Design Institute (CDI) provides a semester-long opportunity for faculty to design and prepare to teach their first online courses. Guided by the Community of Inquiry (CoI) model and the California State University Quality Online Learning and Teaching (QOLT) principles, participants work together to produce, and…

Long-term object tracking combined offline with online learning

NASA Astrophysics Data System (ADS)

Hu, Mengjie; Wei, Zhenzhong; Zhang, Guangjun

2016-04-01

We propose a simple yet effective method for long-term object tracking. Different from the traditional visual tracking method, which mainly depends on frame-to-frame correspondence, we combine high-level semantic information with low-level correspondences. Our framework is formulated in a confidence selection framework, which allows our system to recover from drift and partly deal with occlusion. To summarize, our algorithm can be roughly decomposed into an initialization stage and a tracking stage. In the initialization stage, an offline detector is trained to get the object appearance information at the category level, which is used for detecting the potential target and initializing the tracking stage. The tracking stage consists of three modules: the online tracking module, detection module, and decision module. A pretrained detector is used for maintaining drift of the online tracker, while the online tracker is used for filtering out false positive detections. A confidence selection mechanism is proposed to optimize the object location based on the online tracker and detection. If the target is lost, the pretrained detector is utilized to reinitialize the whole algorithm when the target is relocated. During experiments, we evaluate our method on several challenging video sequences, and it demonstrates huge improvement compared with detection and online tracking only.

A Framework for Evaluating Science and Technology Electronic Reference Books: A Comparison of Five Platforms in Chemistry

ERIC Educational Resources Information Center

Lafferty, Meghan

2009-01-01

This article examines what is desirable in online reference books in science and technology and outlines a framework for evaluating their interfaces. The framework considers factors unique to these subject areas like chemical structures and numerical data. Criteria in three categories, navigability, searchability, and results, were applied to five…

Automated monitoring of recovered water quality

NASA Technical Reports Server (NTRS)

Misselhorn, J. E.; Hartung, W. H.; Witz, S. W.

1974-01-01

Laboratory prototype water quality monitoring system provides automatic system for online monitoring of chemical, physical, and bacteriological properties of recovered water and for signaling malfunction in water recovery system. Monitor incorporates whenever possible commercially available sensors suitably modified.

A Framework for Applying Point Clouds Grabbed by Multi-Beam LIDAR in Perceiving the Driving Environment

PubMed Central

Liu, Jian; Liang, Huawei; Wang, Zhiling; Chen, Xiangcheng

2015-01-01

The quick and accurate understanding of the ambient environment, which is composed of road curbs, vehicles, pedestrians, etc., is critical for developing intelligent vehicles. The road elements included in this work are road curbs and dynamic road obstacles that directly affect the drivable area. A framework for the online modeling of the driving environment using a multi-beam LIDAR, i.e., a Velodyne HDL-64E LIDAR, which describes the 3D environment in the form of a point cloud, is reported in this article. First, ground segmentation is performed via multi-feature extraction of the raw data grabbed by the Velodyne LIDAR to satisfy the requirement of online environment modeling. Curbs and dynamic road obstacles are detected and tracked in different manners. Curves are fitted for curb points, and points are clustered into bundles whose form and kinematics parameters are calculated. The Kalman filter is used to track dynamic obstacles, whereas the snake model is employed for curbs. Results indicate that the proposed framework is robust under various environments and satisfies the requirements for online processing. PMID:26404290

REMPI-TOFMS for on-line monitoring and controlling the coffee roasting process

NASA Astrophysics Data System (ADS)

Dorfner, Ralph; Ferge, Thomas; Yeretzian, Chahan; Zimmermann, Ralf; Kettrup, Antonius

2001-08-01

REMPI@266nm-TOFMS is used for on-line analysis of the coffee roasting process. Volatile and flavor active compounds of coffee were ionized by REMPI@266nm and monitored on-line and in real-time by TOFMS during the coffee roasting process. The phenol and 4-vinylguaiacol time-intensity profiles, for example, show typical behavior for different roasting temperatures and provide an indicator to the achieved degree of roasting. The impact of the moisture level of the green coffee beans on the time shift of a typical (commercial) roasting time, correlates with REMPI-TOFMS measurements and literature data.

Fourier Transform Infrared Spectroscopy and Multivariate Analysis for Online Monitoring of Dibutyl Phosphate Degradation Product in Tributyl Phosphate/n-Dodecane/Nitric Acid Solvent

DOE Office of Scientific and Technical Information (OSTI.GOV)

Tatiana G. Levitskaia; James M. Peterson; Emily L. Campbell

2013-12-01

In liquid–liquid extraction separation processes, accumulation of organic solvent degradation products is detrimental to the process robustness, and frequent solvent analysis is warranted. Our research explores the feasibility of online monitoring of the organic solvents relevant to used nuclear fuel reprocessing. This paper describes the first phase of developing a system for monitoring the tributyl phosphate (TBP)/n-dodecane solvent commonly used to separate used nuclear fuel. In this investigation, the effect of extraction of nitric acid from aqueous solutions of variable concentrations on the quantification of TBP and its major degradation product dibutylphosphoric acid (HDBP) was assessed. Fourier transform infrared (FTIR)more » spectroscopy was used to discriminate between HDBP and TBP in the nitric acid-containing TBP/n-dodecane solvent. Multivariate analysis of the spectral data facilitated the development of regression models for HDBP and TBP quantification in real time, enabling online implementation of the monitoring system. The predictive regression models were validated using TBP/n-dodecane solvent samples subjected to high-dose external ?-irradiation. The predictive models were translated to flow conditions using a hollow fiber FTIR probe installed in a centrifugal contactor extraction apparatus, demonstrating the applicability of the FTIR technique coupled with multivariate analysis for the online monitoring of the organic solvent degradation products.« less

Fourier Transform Infrared Spectroscopy and Multivariate Analysis for Online Monitoring of Dibutyl Phosphate Degradation Product in Tributyl Phosphate /n-Dodecane/Nitric Acid Solvent

DOE Office of Scientific and Technical Information (OSTI.GOV)

Levitskaia, Tatiana G.; Peterson, James M.; Campbell, Emily L.

2013-11-05

In liquid-liquid extraction separation processes, accumulation of organic solvent degradation products is detrimental to the process robustness and frequent solvent analysis is warranted. Our research explores feasibility of online monitoring of the organic solvents relevant to used nuclear fuel reprocessing. This paper describes the first phase of developing a system for monitoring the tributyl phosphate (TBP)/n-dodecane solvent commonly used to separate used nuclear fuel. In this investigation, the effect of extraction of nitric acid from aqueous solutions of variable concentrations on the quantification of TBP and its major degradation product dibutyl phosphoric acid (HDBP) was assessed. Fourier Transform Infrared Spectroscopymore » (FTIR) spectroscopy was used to discriminate between HDBP and TBP in the nitric acid-containing TBP/n-dodecane solvent. Multivariate analysis of the spectral data facilitated the development of regression models for HDBP and TBP quantification in real time, enabling online implementation of the monitoring system. The predictive regression models were validated using TBP/n-dodecane solvent samples subjected to the high dose external gamma irradiation. The predictive models were translated to flow conditions using a hollow fiber FTIR probe installed in a centrifugal contactor extraction apparatus demonstrating the applicability of the FTIR technique coupled with multivariate analysis for the online monitoring of the organic solvent degradation products.« less

No evidence that a range of artificial monitoring cues influence online donations to charity in an MTurk sample.

PubMed

Saunders, Timothy J; Taylor, Alex H; Atkinson, Quentin D

2016-10-01

Monitoring cues, such as an image of a face or pair of eyes, have been found to increase prosocial behaviour in several studies. However, other studies have found little or no support for this effect. Here, we examined whether monitoring cues affect online donations to charity while manipulating the emotion displayed, the number of watchers and the cue type. We also include as statistical controls a range of likely covariates of prosocial behaviour. Using the crowdsourcing Internet marketplace, Amazon Mechanical Turk (MTurk), 1535 participants completed our survey and were given the opportunity to donate to charity while being shown an image prime. None of the monitoring primes we tested had a significant effect on charitable giving. By contrast, the control variables of culture, age, sex and previous charity giving frequency did predict donations. This work supports the importance of cultural differences and enduring individual differences in prosocial behaviour and shows that a range of artificial monitoring cues do not reliably boost online charity donation on MTurk.

No evidence that a range of artificial monitoring cues influence online donations to charity in an MTurk sample

PubMed Central

Saunders, Timothy J.; Atkinson, Quentin D.

2016-01-01

Monitoring cues, such as an image of a face or pair of eyes, have been found to increase prosocial behaviour in several studies. However, other studies have found little or no support for this effect. Here, we examined whether monitoring cues affect online donations to charity while manipulating the emotion displayed, the number of watchers and the cue type. We also include as statistical controls a range of likely covariates of prosocial behaviour. Using the crowdsourcing Internet marketplace, Amazon Mechanical Turk (MTurk), 1535 participants completed our survey and were given the opportunity to donate to charity while being shown an image prime. None of the monitoring primes we tested had a significant effect on charitable giving. By contrast, the control variables of culture, age, sex and previous charity giving frequency did predict donations. This work supports the importance of cultural differences and enduring individual differences in prosocial behaviour and shows that a range of artificial monitoring cues do not reliably boost online charity donation on MTurk. PMID:27853533

The backend design of an environmental monitoring system upon real-time prediction of groundwater level fluctuation under the hillslope.

PubMed

Lin, Hsueh-Chun; Hong, Yao-Ming; Kan, Yao-Chiang

2012-01-01

The groundwater level represents a critical factor to evaluate hillside landslides. A monitoring system upon the real-time prediction platform with online analytical functions is important to forecast the groundwater level due to instantaneously monitored data when the heavy precipitation raises the groundwater level under the hillslope and causes instability. This study is to design the backend of an environmental monitoring system with efficient algorithms for machine learning and knowledge bank for the groundwater level fluctuation prediction. A Web-based platform upon the model-view controller-based architecture is established with technology of Web services and engineering data warehouse to support online analytical process and feedback risk assessment parameters for real-time prediction. The proposed system incorporates models of hydrological computation, machine learning, Web services, and online prediction to satisfy varieties of risk assessment requirements and approaches of hazard prevention. The rainfall data monitored from the potential landslide area at Lu-Shan, Nantou and Li-Shan, Taichung, in Taiwan, are applied to examine the system design.

A tool for NDVI time series extraction from wide-swath remotely sensed images

NASA Astrophysics Data System (ADS)

Li, Zhishan; Shi, Runhe; Zhou, Cong

2015-09-01

Normalized Difference Vegetation Index (NDVI) is one of the most widely used indicators for monitoring the vegetation coverage in land surface. The time series features of NDVI are capable of reflecting dynamic changes of various ecosystems. Calculating NDVI via Moderate Resolution Imaging Spectrometer (MODIS) and other wide-swath remotely sensed images provides an important way to monitor the spatial and temporal characteristics of large-scale NDVI. However, difficulties are still existed for ecologists to extract such information correctly and efficiently because of the problems in several professional processes on the original remote sensing images including radiometric calibration, geometric correction, multiple data composition and curve smoothing. In this study, we developed an efficient and convenient online toolbox for non-remote sensing professionals who want to extract NDVI time series with a friendly graphic user interface. It is based on Java Web and Web GIS technically. Moreover, Struts, Spring and Hibernate frameworks (SSH) are integrated in the system for the purpose of easy maintenance and expansion. Latitude, longitude and time period are the key inputs that users need to provide, and the NDVI time series are calculated automatically.

An Online Tailored Self-Management Program for Patients With Rheumatoid Arthritis: A Developmental Study.

PubMed

Zuidema, Rixt M; van Gaal, Betsie Gi; van Dulmen, Sandra; Repping-Wuts, Han; Schoonhoven, Lisette

2015-12-25

Every day rheumatoid arthritis (RA) patients make many decisions about managing their disease. An online, computer-tailored, self-management program can support this decision making, but development of such a program requires the active participation of patients. To develop an online, computer-tailored, self-management program integrated with the nursing care, as nurses have an important role in supporting self-management behavior. The intervention mapping framework was used to develop the program. Development was a multistep process: (1) needs assessment; (2) developing program and change objectives in a matrix; (3) selecting theory-based intervention methods and practical application strategies; (4) producing program components; (5) planning and adoption, implementation, and sustainability; and (6) planning for evaluation. After conducting the needs assessment (step 1), nine health-related problems were identified: (1) balancing rest and activity, (2) setting boundaries, (3) asking for help and support, (4) use of medicines, (5) communicating with health professionals, (6) use of assistive devices, (7) performing physical exercises, (8) coping with worries, and (9) coping with RA. After defining performance and change objectives (step 2), we identified a number of methods which could be used to achieve them (step 3), such as provision of general information about health-related behavior, self-monitoring of behavior, persuasive communication, modeling, and self-persuasion and tailoring. We described and operationalized these methods in texts, videos, exercises, and a medication intake schedule. The resulting program (step 4) consisted of an introduction module and nine modules dealing with health-related problems. The content of these modules is tailored to the user's self-efficacy, and patients can use the online program as often as they want, working through a module or modules at their own speed. After implementation (step 5), the program will be evaluated in a two-center pilot trial involving 200 RA patients. Log-in data and qualitative interviews will used for a process evaluation. The intervention mapping framework was used to guide development of an online computer-tailored self-management program via a process which could serve as a model for the development of other interventions. A pilot randomized controlled trial (RCT) will provide insight into the important outcome measures in preparation for a larger RCT. The process evaluation will provide insight into how RA patients use the program and the attrition rate. Netherlands Trial Register (NTR): NTR4871; http://www.trialregister.nl/trialreg/admin/rctview.asp?TC=4871 [accessed 13-NOV-15] http://www.webcitation.org/6d1ZyIoEy.

Facilitating Multiple Intelligences through Multimodal Learning Analytics

ERIC Educational Resources Information Center

Perveen, Ayesha

2018-01-01

This paper develops a theoretical framework for employing learning analytics in online education to trace multiple learning variations of online students by considering their potential of being multiple intelligences based on Howard Gardner's 1983 theory of multiple intelligences. The study first emphasizes the need to facilitate students as…

College-Based Personal Finance Education: Student Interest in Three Delivery Methods

ERIC Educational Resources Information Center

Goetz, Joseph; Cude, Brenda J.; Nielsen, Robert B.; Chatterjee, Swarn; Mimura, Yoko

2011-01-01

Using online survey responses from 509 undergraduate students, three financial education methods (on-campus financial counseling center, online financial management resources, and in-person educational workshops) were examined. Using a social constructionist framework, the analysis controlled for various demographic and financial factors. The…

Online Learning Satisfaction: Does Culture Matter?

ERIC Educational Resources Information Center

Tankari, Moussa

2012-01-01

The purpose of this mixed-methods study, which used sociocultural learning theory as its framework, was to understand the differences between personal culture orientation and online learning satisfaction by examining culture at the macro and micro level in a global learning environment. More specifically, this paper investigated the cultural…

The Production of "Proper Cheating" in Online Examinations within Technological Universities

ERIC Educational Resources Information Center

Kitto, Simon; Saltmarsh, Sue

2007-01-01

This paper uses poststructuralist theories of governmentality, agency, consumption and Barry's (2001) concept of Technological Societies, as a heuristic framework to trace the role of online education technologies in the instantiation of subjectification processes within contemporary Australian universities. This case study of the unintended…

Online Collaborative Learning and Communication Media

ERIC Educational Resources Information Center

Havard, Byron; Du, Jianxia; Xu, Jianzhong

2008-01-01

The purpose of this study is to examine the dynamics of online collaborative learning and communication media regarding team projects. Media richness and social presence theories are well-accepted rational theories that explain media choices and media behaviors, and serve as the theoretical framework. Quantitative and qualitative data collection…

Documenting Collective Development in Online Settings

ERIC Educational Resources Information Center

Dean, Chrystal; Silverman, Jason

2015-01-01

In this paper the authors explored the question of collective understanding in online mathematics education settings and presented a brief overview of traditional methods for documenting norms and collective mathematical practices. A method for documenting collective development was proposed that builds on existing methods and frameworks yet is…

Online Normalization Algorithm for Engine Turbofan Monitoring

DTIC Science & Technology

2014-10-02

Online Normalization Algorithm for Engine Turbofan Monitoring Jérôme Lacaille 1 , Anastasios Bellas 2 1 Snecma, 77550 Moissy-Cramayel, France...understand the behavior of a turbofan engine, one first needs to deal with the variety of data acquisition contexts. Each time a set of measurements is...it auto-adapts itself with piecewise linear models. 1. INTRODUCTION Turbofan engine abnormality diagnosis uses three steps: reduction of

Online Sources of Competitive Intelligence.

ERIC Educational Resources Information Center

Wagers, Robert

1986-01-01

Presents an approach to using online sources of information for competitor intelligence (i.e., monitoring industry and tracking activities of competitors); identifies principal sources; and suggests some ways of making use of online databases. Types and sources of information and sources and database charts are appended. Eight references are…

Online Islamic Organizations and Measuring Web Effectiveness

DTIC Science & Technology

2004-12-01

Internet Research 13 (2003) : 17-26. Retrived from ProQuest online database on 15 May 2004. Lee, Jae-Kwan. “A model for monitoring public sector...Web site strategy.” Internet Research : Electronic Networking Applications and Policy 13 (2003) : 259-266. Retrieved from Emerad online database on

Reducing the distance: providing challenging and engaging online postgraduate education in pain management.

PubMed

Devonshire, Elizabeth; Henderson, Sarah E

2012-05-01

1. Health professionals need access to flexible, high-quality, advanced education in pain management. 2. There are multiple pedagogical distances to be negotiated in the delivery of effective postgraduate education. 3. A critical consideration in the design and delivery of effective online learning for postgraduate education in pain management is how to: actively engage students in the learning process; and encourage students to become lifelong learners. 4. Conceptual frameworks for encouraging student interaction online provide a useful tool in the design of postgraduate online learning activities.

A criteria and indicators monitoring framework for food forestry embedded in the principles of ecological restoration.

PubMed

Park, Hyeone; Higgs, Eric

2018-02-02

Food forestry is a burgeoning practice in North America, representing a strong multifunctional approach that combines agriculture, forestry, and ecological restoration. The Galiano Conservancy Association (GCA), a community conservation, restoration, and educational organization on Galiano Island, British Columbia in Canada, recently has created two food forests on their protected forested lands: one with primarily non-native species and the other comprising native species. These projects, aimed at food production, education, and promotion of local food security and sustainability, are also intended to contribute to the overall ecological integrity of the landscape. Monitoring is essential for assessing how effectively a project is meeting its goal and thus informing its adaptive management. Yet, presently, there are no comprehensive monitoring frameworks for food forestry available. To fill this need, this study developed a generic Criteria and Indicators (C&I) monitoring framework for food forestry, embedded in ecological restoration principles, by employing qualitative content analysis of 61 literature resources and semi-structured interviews with 16 experts in the fields of food forestry and ecological restoration. The generic C&I framework comprises 14 criteria, 39 indicators, and 109 measures and is intended to guide a comprehensive and systematic assessment for food forest projects. The GCA adapted the generic C&I framework to develop a customized monitoring framework. The Galiano C&I monitoring framework has comprehensive suite of monitoring parameters, which are collectively address multiple values and goals.

A Framework to Explore the Knowledge Structure of Multidisciplinary Research Fields

PubMed Central

Uddin, Shahadat; Khan, Arif; Baur, Louise A.

2015-01-01

Understanding emerging areas of a multidisciplinary research field is crucial for researchers, policymakers and other stakeholders. For them a knowledge structure based on longitudinal bibliographic data can be an effective instrument. But with the vast amount of available online information it is often hard to understand the knowledge structure for data. In this paper, we present a novel approach for retrieving online bibliographic data and propose a framework for exploring knowledge structure. We also present several longitudinal analyses to interpret and visualize the last 20 years of published obesity research data. PMID:25915521

SPECTROSCOPIC ONLINE MONITORING FOR PROCESS CONTROL AND SAFEGUARDING OF RADIOCHEMICAL STREAMS

DOE Office of Scientific and Technical Information (OSTI.GOV)

Bryan, Samuel A.; Levitskaia, Tatiana G.

2013-09-29

There is a renewed interest worldwide to promote the use of nuclear power and close the nuclear fuel cycle. The long term successful use of nuclear power is critically dependent upon adequate and safe processing and disposition of the used nuclear fuel. Liquid-liquid extraction is a separation technique commonly employed for the processing of the dissolved used nuclear fuel. The instrumentation used to monitor these processes must be robust, require little or no maintenance, and be able to withstand harsh environments such as high radiation fields and aggressive chemical matrices. This paper summarizes application of the absorption and vibrational spectroscopicmore » techniques supplemented by physicochemical measurements for radiochemical process monitoring. In this context, our team experimentally assessed the potential of Raman and spectrophotometric techniques for online real-time monitoring of the U(VI)/nitrate ion/nitric acid and Pu(IV)/Np(V)/Nd(III), respectively, in solutions relevant to spent fuel reprocessing. These techniques demonstrate robust performance in the repetitive batch measurements of each analyte in a wide concentration range using simulant and commercial dissolved spent fuel solutions. Spectroscopic measurements served as training sets for the multivariate data analysis to obtain partial least squares predictive models, which were validated using on-line centrifugal contactor extraction tests. Satisfactory prediction of the analytes concentrations in these preliminary experiments warrants further development of the spectroscopy-based methods for radiochemical process control and safeguarding. Additionally, the ability to identify material intentionally diverted from a liquid-liquid extraction contactor system was successfully tested using on-line process monitoring as a means to detect the amount of material diverted. A chemical diversion and detection from a liquid-liquid extraction scheme was demonstrated using a centrifugal contactor system operating with the simulant PUREX extraction system of Nd(NO3)3/nitric acid aqueous phase and TBP/n-dodecane organic phase. During a continuous extraction experiment, a portion of the feed from a counter-current extraction system was diverted while the spectroscopic on-line process monitoring system was simultaneously measuring the feed, raffinate and organic products streams. The amount observed to be diverted by on-line spectroscopic process monitoring was in excellent agreement with values based from the known mass of sample directly taken (diverted) from system feed solution.« less

Competency-Based Education: A Framework for Measuring Quality Courses

ERIC Educational Resources Information Center

Krause, Jackie; Dias, Laura Portolese; Schedler, Chris

2015-01-01

The growth of competency-based education in an online environment requires the development and measurement of quality competency-based courses. While quality measures for online courses have been developed and standardized, they do not directly align with emerging best practices and principles in the design of quality competency-based online…

Learning Spaces Framework: Learning in an Online World

ERIC Educational Resources Information Center

Ministerial Council on Education, Employment, Training and Youth Affairs (NJ1), 2008

2008-01-01

"Contemporary learning--learning in an online world" describes the integrated nature of the highly technological world in which young people live and learn. A key priority is to design learning spaces that integrate technologies: engaging students in ways not previously possible; creating new learning and teaching possibilities;…

Teaching Competencies for the Online Environment

ERIC Educational Resources Information Center

Farmer, Heather M.; Ramsdale, Jennifer

2016-01-01

The goals of this study are to identify key competency areas that lead to success in online instruction and to develop a framework that supports professional development and self-assessment. To identify the key competency areas, skills and behaviours presented within current literature were analyzed. Secondly, gaps were identified and levels of…

#MarchOnRome: Of Alterity, Social Media, and Marching Bands

ERIC Educational Resources Information Center

Abramo, Joseph

2016-01-01

In this online ethnography, I studied marching band identity by examining marching band enthusiasts' and music educators' responses on music teacher professional forums, Twitter, blogs, and other online media, to sports commentator Jim Rome's tweets describing marching band members as "dorks." Using a framework of alterity--or the…

Exploring Distributed Leadership for the Quality Management of Online Learning Environments

ERIC Educational Resources Information Center

Palmer, Stuart; Holt, Dale; Gosper, Maree; Sankey, Michael; Allan, Garry

2013-01-01

Online learning environments (OLEs) are complex information technology (IT) systems that intersect with many areas of university organisation. Distributed models of leadership have been proposed as appropriate for the good governance of OLEs. Based on theoretical and empirical research, a group of Australian universities proposed a framework for…

Using Jigsaw-Style Spectroscopy Problem-Solving to Elucidate Molecular Structure through Online Cooperative Learning

ERIC Educational Resources Information Center

Winschel, Grace A.; Everett, Renata K.; Coppola, Brian P.; Shultz, Ginger V.

2015-01-01

Cooperative learning was employed as an instructional approach to facilitate student development of spectroscopy problem solving skills. An interactive online environment was used as a framework to structure weekly discussions around spectroscopy problems outside of class. Weekly discussions consisted of modified jigsaw-style problem solving…

Argumentative Knowledge Construction in an Online Graduate Mathematics Course: A Case Study

ERIC Educational Resources Information Center

Bayazit, Nermin; Clarke, Pier Angeli Junor; Vidakovic, Draga

2018-01-01

The authors report on three students' argumentative knowledge construction in an asynchronous online graduate level geometry course designed for in-service secondary mathematics (ISM) teachers. Using Weinberger and Fischer's framework, they analyzed the ISM teachers' (a) geometry autobiography and (b) discussion board posts (both comments and…

Online Searching in PBL Tutorials

ERIC Educational Resources Information Center

Jin, Jun; Bridges, Susan M.; Botelho, Michael G.; Chan, Lap Ki

2015-01-01

This study aims to explore how online searching plays a role during PBL tutorials in two undergraduate health sciences curricula, Medicine and Dentistry. Utilizing Interactional Ethnography (IE) as an organizing framework for data collection and analysis, and drawing on a critical theory of technology as an explanatory lens, enabled a textured…

Adapting the Mathematical Task Framework to Design Online Didactic Objects

ERIC Educational Resources Information Center

Bowers, Janet; Bezuk, Nadine; Aguilar, Karen

2011-01-01

Designing didactic objects involves imagining how students can conceive of specific mathematical topics and then imagining what types of classroom discussions could support these mental constructions. This study investigated whether it was possible to design Java applets that might serve as didactic objects to support online learning where…

Design-Based Research Principles for Student Orientation to Online Study: Capturing the Lessons Learnt

ERIC Educational Resources Information Center

Wozniak, Helen; Pizzica, Jenny; Mahony, Mary Jane

2012-01-01

Few institutions have reported research on students' "use" of orientation programs designed for mature students returning to study in contemporary learning environments now regularly amalgamating distance and online strategies. We report within a design-based research framework the student experience of "GetLearning," the third…

Online Resource-Based Learning Environment: Case Studies in Primary Classrooms

ERIC Educational Resources Information Center

So, Winnie Wing Mui; Ching, Fiona Ngai Ying

2012-01-01

This paper discusses the creation of learning environments with online resources by three primary school teachers for pupil's learning of science-related topics with reference to the resource-based e-learning environments (RBeLEs) framework. Teachers' choice of contexts, resources, tools, and scaffolds in designing the learning environments are…

Techtalk: An Online Framework for Developmental Literacy

ERIC Educational Resources Information Center

Burgess, Melissa; Caverly, David C.

2010-01-01

In a previous Techtalk column, Peterson and Caverly (2005) introduced the Community of Inquiry (CoI) model (Garrison, Anderson, & Archer, 2001) as a guide for online learning. The CoI model has maintained longevity and applicability to a variety of both synchronous and asynchronous technologies (Ice, Curtis, Phillips, & Wells, 2007). In this…

Communication Privacy Disclosure Management: An Empirical Study of Socialization Support in a Pseudo-Online Course

ERIC Educational Resources Information Center

Heo, Misook

2011-01-01

This study investigated the boundaries of online learners' information disclosure, relationship building, interpersonal integration, and motivation by drawing upon the theoretical frameworks of the social information processing and communication privacy management theories and the hyperpersonal model. A total of 103 students from a higher…

Measuring and Visualizing Group Knowledge Elaboration in Online Collaborative Discussions

ERIC Educational Resources Information Center

Zheng, Yafeng; Xu, Chang; Li, Yanyan; Su, You

2018-01-01

Knowledge elaboration plays a critical role in promoting knowledge acquisition and facilitating the retention of target knowledge in online collaborative discussions. Adopting a key-term-based automated analysis approach, we proposed an indicator framework to measure the level of knowledge elaboration in terms of coverage, activation, and…

A Place We Call "Home"--International Students in Virtual Context

ERIC Educational Resources Information Center

Zhu, Zheng

2012-01-01

This paper examines how Chinese international students from a public land-grant university used online community to construct their cultural and ethnic identities. The author delves into the question of how online community enables these students to gain successful cultural assimilation. Extending on Baym's (2000) theoretical framework of online…

A Coding Scheme to Analyse the Online Asynchronous Discussion Forums of University Students

ERIC Educational Resources Information Center

Biasutti, Michele

2017-01-01

The current study describes the development of a content analysis coding scheme to examine transcripts of online asynchronous discussion groups in higher education. The theoretical framework comprises the theories regarding knowledge construction in computer-supported collaborative learning (CSCL) based on a sociocultural perspective. The coding…

Cyber Mentoring in an Online Introductory Statistics Course

ERIC Educational Resources Information Center

Rashid, Mamunur; Sarkar, Jyotirmoy

2018-01-01

Students in an online statistics course were prone to become increasingly disengaged as the semester progressed. In Spring 2015, we took a proactive measure to retain student engagement by introducing a cyber mentoring session. We describe the framework, operation and effectiveness of cyber mentoring in improving students' learning experience and…

Real-time long term measurement using integrated framework for ubiquitous smart monitoring

NASA Astrophysics Data System (ADS)

Heo, Gwanghee; Lee, Giu; Lee, Woosang; Jeon, Joonryong; Kim, Pil-Joong

2007-04-01

Ubiquitous monitoring combining internet technologies and wireless communication is one of the most promising technologies of infrastructure health monitoring against the natural of man-made hazards. In this paper, an integrated framework of the ubiquitous monitoring is developed for real-time long term measurement in internet environment. This framework develops a wireless sensor system based on Bluetooth technology and sends measured acceleration data to the host computer through TCP/IP protocol. And it is also designed to respond to the request of web user on real time basis. In order to verify this system, real time monitoring tests are carried out on a prototype self-anchored suspension bridge. Also, wireless measurement system is analyzed to estimate its sensing capacity and evaluate its performance for monitoring purpose. Based on the evaluation, this paper proposes the effective strategies for integrated framework in order to detect structural deficiencies and to design an early warning system.

The Online Social Networking of Cyberspace: A Study on the Development of an Online Social Network Project and the Sport Industry's Perception of Its Relative Advantage

ERIC Educational Resources Information Center

Liptrap, Timothy John

2011-01-01

This exploratory case study examined online social networking (OSN), and the perceptions of Sport Marketing students and sport industry professional as to the relative advantage of the OSN tools in the marketplace. The conceptual framework for this study was based on Boyer's (1990) concepts of Scholarship of Teaching and Learning (SoTL), and the…

Framework for Analytic Cognition (FAC): A Guide for Doing All-Source Intelligence Analysis

DTIC Science & Technology

2011-12-01

humans as rational decision makers has been thoroughly discounted in the last decade. Recent research in neuroscience and cognitive psychology has...Intelligence and Counterintelligence, Vol. 18, No. 2, 2005, p. 206. 60 Moore, D.T. & Krizan, L. "Intelligence Analysis: Does NSA have what it Takes...SIGINT NSA Online TS/SCI Online Digital Yes COMINT Internet None N/A Unclassified Online Digital Yes Open Source STRATFOR Local information

A Framework for the Comparative Assessment of Neuronal Spike Sorting Algorithms towards More Accurate Off-Line and On-Line Microelectrode Arrays Data Analysis.

PubMed

Regalia, Giulia; Coelli, Stefania; Biffi, Emilia; Ferrigno, Giancarlo; Pedrocchi, Alessandra

2016-01-01

Neuronal spike sorting algorithms are designed to retrieve neuronal network activity on a single-cell level from extracellular multiunit recordings with Microelectrode Arrays (MEAs). In typical analysis of MEA data, one spike sorting algorithm is applied indiscriminately to all electrode signals. However, this approach neglects the dependency of algorithms' performances on the neuronal signals properties at each channel, which require data-centric methods. Moreover, sorting is commonly performed off-line, which is time and memory consuming and prevents researchers from having an immediate glance at ongoing experiments. The aim of this work is to provide a versatile framework to support the evaluation and comparison of different spike classification algorithms suitable for both off-line and on-line analysis. We incorporated different spike sorting "building blocks" into a Matlab-based software, including 4 feature extraction methods, 3 feature clustering methods, and 1 template matching classifier. The framework was validated by applying different algorithms on simulated and real signals from neuronal cultures coupled to MEAs. Moreover, the system has been proven effective in running on-line analysis on a standard desktop computer, after the selection of the most suitable sorting methods. This work provides a useful and versatile instrument for a supported comparison of different options for spike sorting towards more accurate off-line and on-line MEA data analysis.

A Framework for the Comparative Assessment of Neuronal Spike Sorting Algorithms towards More Accurate Off-Line and On-Line Microelectrode Arrays Data Analysis

PubMed Central

Pedrocchi, Alessandra

2016-01-01

Neuronal spike sorting algorithms are designed to retrieve neuronal network activity on a single-cell level from extracellular multiunit recordings with Microelectrode Arrays (MEAs). In typical analysis of MEA data, one spike sorting algorithm is applied indiscriminately to all electrode signals. However, this approach neglects the dependency of algorithms' performances on the neuronal signals properties at each channel, which require data-centric methods. Moreover, sorting is commonly performed off-line, which is time and memory consuming and prevents researchers from having an immediate glance at ongoing experiments. The aim of this work is to provide a versatile framework to support the evaluation and comparison of different spike classification algorithms suitable for both off-line and on-line analysis. We incorporated different spike sorting “building blocks” into a Matlab-based software, including 4 feature extraction methods, 3 feature clustering methods, and 1 template matching classifier. The framework was validated by applying different algorithms on simulated and real signals from neuronal cultures coupled to MEAs. Moreover, the system has been proven effective in running on-line analysis on a standard desktop computer, after the selection of the most suitable sorting methods. This work provides a useful and versatile instrument for a supported comparison of different options for spike sorting towards more accurate off-line and on-line MEA data analysis. PMID:27239191

The MOOC and Learning Analytics Innovation Cycle (MOLAC): A Reflective Summary of Ongoing Research and Its Challenges

ERIC Educational Resources Information Center

Drachsler, H.; Kalz, M.

2016-01-01

The article deals with the interplay between learning analytics and massive open online courses (MOOCs) and provides a conceptual framework to situate ongoing research in the MOOC and learning analytics innovation cycle (MOLAC framework). The MOLAC framework is organized on three levels: On the micro-level, the data collection and analytics…

Power system distributed oscilation detection based on Synchrophasor data

NASA Astrophysics Data System (ADS)

Ning, Jiawei

Along with increasing demand for electricity, integration of renewable energy and deregulation of power market, power industry is facing unprecedented challenges nowadays. Within the last couple of decades, several serious blackouts have been taking place in United States. As an effective approach to prevent that, power system small signal stability monitoring has been drawing more interests and attentions from researchers. With wide-spread implementation of Synchrophasors around the world in the last decade, power systems real-time online monitoring becomes much more feasible. Comparing with planning study analysis, real-time online monitoring would benefit control room operators immediately and directly. Among all online monitoring methods, Oscillation Modal Analysis (OMA), a modal identification method based on routine measurement data where the input is unmeasured ambient excitation, is a great tool to evaluate and monitor power system small signal stability. Indeed, high sampling Synchrophasor data around power system is fitted perfectly as inputs to OMA. Existing methods in OMA for power systems are all based on centralized algorithms applying at control centers only; however, with rapid growing number of online Synchrophasors the computation burden at control centers is and will be continually exponentially expanded. The increasing computation time at control center compromises the real-time feature of online monitoring. The communication efforts between substation and control center will also be out of reach. Meanwhile, it is difficult or even impossible for centralized algorithms to detect some poorly damped local modes. In order to avert previous shortcomings of centralized OMA methods and embrace the new changes in the power systems, two new distributed oscillation detection methods with two new decentralized structures are presented in this dissertation. Since the new schemes brought substations into the big oscillation detection picture, the proposed methods could achieve faster and more reliable results. Subsequently, this claim is tested and approved by test results of IEEE Two-area simulation test system and real power system historian synchrophasor data case studies.

ASSESSMENT OF DYNAMIC PRA TECHNIQUES WITH INDUSTRY AVERAGE COMPONENT PERFORMANCE DATA

DOE Office of Scientific and Technical Information (OSTI.GOV)

Yadav, Vaibhav; Agarwal, Vivek; Gribok, Andrei V.

In the nuclear industry, risk monitors are intended to provide a point-in-time estimate of the system risk given the current plant configuration. Current risk monitors are limited in that they do not properly take into account the deteriorating states of plant equipment, which are unit-specific. Current approaches to computing risk monitors use probabilistic risk assessment (PRA) techniques, but the assessment is typically a snapshot in time. Living PRA models attempt to address limitations of traditional PRA models in a limited sense by including temporary changes in plant and system configurations. However, information on plant component health are not considered. Thismore » often leaves risk monitors using living PRA models incapable of conducting evaluations with dynamic degradation scenarios evolving over time. There is a need to develop enabling approaches to solidify risk monitors to provide time and condition-dependent risk by integrating traditional PRA models with condition monitoring and prognostic techniques. This paper presents estimation of system risk evolution over time by integrating plant risk monitoring data with dynamic PRA methods incorporating aging and degradation. Several online, non-destructive approaches have been developed for diagnosing plant component conditions in nuclear industry, i.e., condition indication index, using vibration analysis, current signatures, and operational history [1]. In this work the component performance measures at U.S. commercial nuclear power plants (NPP) [2] are incorporated within the various dynamic PRA methodologies [3] to provide better estimates of probability of failures. Aging and degradation is modeled within the Level-1 PRA framework and is applied to several failure modes of pumps and can be extended to a range of components, viz. valves, generators, batteries, and pipes.« less

On-line monitoring of the crystallization process: relationship between crystal size and electrical impedance spectra

NASA Astrophysics Data System (ADS)

Zhao, Yanlin; Yao, Jun; Wang, Mi

2016-07-01

On-line monitoring of crystal size in the crystallization process is crucial to many pharmaceutical and fine-chemical industrial applications. In this paper, a novel method is proposed for the on-line monitoring of the cooling crystallization process of L-glutamic acid (LGA) using electrical impedance spectroscopy (EIS). The EIS method can be used to monitor the growth of crystal particles relying on the presence of an electrical double layer on the charged particle surface and the polarization of double layer under the excitation of alternating electrical field. The electrical impedance spectra and crystal size were measured on-line simultaneously by an impedance analyzer and focused beam reflectance measurement (FBRM), respectively. The impedance spectra were analyzed using the equivalent circuit model and the equivalent circuit elements in the model can be obtained by fitting the experimental data. Two equivalent circuit elements, including capacitance (C 2) and resistance (R 2) from the dielectric polarization of the LGA solution and crystal particle/solution interface, are in relation with the crystal size. The mathematical relationship between the crystal size and the equivalent circuit elements can be obtained by a non-linear fitting method. The function can be used to predict the change of crystal size during the crystallization process.

A BCM theory of meta-plasticity for online self-reorganizing fuzzy-associative learning.

PubMed

Tan, Javan; Quek, Chai

2010-06-01

Self-organizing neurofuzzy approaches have matured in their online learning of fuzzy-associative structures under time-invariant conditions. To maximize their operative value for online reasoning, these self-sustaining mechanisms must also be able to reorganize fuzzy-associative knowledge in real-time dynamic environments. Hence, it is critical to recognize that they would require self-reorganizational skills to rebuild fluid associative structures when their existing organizations fail to respond well to changing circumstances. In this light, while Hebbian theory (Hebb, 1949) is the basic computational framework for associative learning, it is less attractive for time-variant online learning because it suffers from stability limitations that impedes unlearning. Instead, this paper adopts the Bienenstock-Cooper-Munro (BCM) theory of neurological learning via meta-plasticity principles (Bienenstock et al., 1982) that provides for both online associative and dissociative learning. For almost three decades, BCM theory has been shown to effectively brace physiological evidence of synaptic potentiation (association) and depression (dissociation) into a sound mathematical framework for computational learning. This paper proposes an interpretation of the BCM theory of meta-plasticity for an online self-reorganizing fuzzy-associative learning system to realize online-reasoning capabilities. Experimental findings are twofold: 1) the analysis using S&P-500 stock index illustrated that the self-reorganizing approach could follow the trajectory shifts in the time-variant S&P-500 index for about 60 years, and 2) the benchmark profiles showed that the fuzzy-associative approach yielded comparable results with other fuzzy-precision models with similar online objectives.

Advanced systems engineering and network planning support

NASA Technical Reports Server (NTRS)

Walters, David H.; Barrett, Larry K.; Boyd, Ronald; Bazaj, Suresh; Mitchell, Lionel; Brosi, Fred

1990-01-01

The objective of this task was to take a fresh look at the NASA Space Network Control (SNC) element for the Advanced Tracking and Data Relay Satellite System (ATDRSS) such that it can be made more efficient and responsive to the user by introducing new concepts and technologies appropriate for the 1997 timeframe. In particular, it was desired to investigate the technologies and concepts employed in similar systems that may be applicable to the SNC. The recommendations resulting from this study include resource partitioning, on-line access to subsets of the SN schedule, fluid scheduling, increased use of demand access on the MA service, automating Inter-System Control functions using monitor by exception, increase automation for distributed data management and distributed work management, viewing SN operational control in terms of the OSI Management framework, and the introduction of automated interface management.

The trigger and data acquisition for the NEMO-Phase 2 tower

DOE Office of Scientific and Technical Information (OSTI.GOV)

Pellegrino, C.; Biagi, S.; Fusco, L. A.

In the framework of the Phase 2 of the NEMO neutrino telescope project, a tower with 32 optical modules is being operated since march 2013. A new scalable Trigger and Data Acquisition System (TriDAS) has been developed and extensively tested with the data from this tower. Adopting the all-data-to-shore concept, the NEMO TriDAS is optimized to deal with a continuous data-stream from off-shore to on-shore with a large bandwidth. The TriDAS consists of four computing layers: (i) data aggregation of isochronal hits from all optical modules; (ii) data filtering by means of concurrent trigger algorithms; (iii) composition of the filteredmore » events into post-trigger files; (iv) persistent data storage. The TriDAS implementation is reported together with a review of dedicated on-line monitoring tools.« less

An active monitoring method for flood events

NASA Astrophysics Data System (ADS)

Chen, Zeqiang; Chen, Nengcheng; Du, Wenying; Gong, Jianya

2018-07-01

Timely and active detecting and monitoring of a flood event are critical for a quick response, effective decision-making and disaster reduction. To achieve the purpose, this paper proposes an active service framework for flood monitoring based on Sensor Web services and an active model for the concrete implementation of the active service framework. The framework consists of two core components-active warning and active planning. The active warning component is based on a publish-subscribe mechanism implemented by the Sensor Event Service. The active planning component employs the Sensor Planning Service to control the execution of the schemes and models and plans the model input data. The active model, called SMDSA, defines the quantitative calculation method for five elements, scheme, model, data, sensor, and auxiliary information, as well as their associations. Experimental monitoring of the Liangzi Lake flood in the summer of 2010 is conducted to test the proposed framework and model. The results show that 1) the proposed active service framework is efficient for timely and automated flood monitoring. 2) The active model, SMDSA, is a quantitative calculation method used to monitor floods from manual intervention to automatic computation. 3) As much preliminary work as possible should be done to take full advantage of the active service framework and the active model.

Do online pharmacies fit European internal markets?

PubMed

Mäkinen, Mia Maria; Rautava, Päivi Tuire; Forsström, Jari Johannes

2005-05-01

The aim of this article is to consider the suitability of online pharmacies into European internal market area. This required considering the models of present online pharmacies in respect to the existing legislation. Data on online pharmacy settings was collected by looking some online pharmacies, which were found by using Goggle search machine with term "online pharmacy" and by studying websites of some well-known online pharmacies. European legislation and policy were studied from European Union's official website. Online drug markets seem to be increasing in popularity for reasons related to their ready availability and cost benefits. Few online pharmacies are based in Europe, yet online markets are worldwide. Community legislation does not stipulate on the legality of online pharmacies on European internal markets. Instead Community legislation offers framework for electronic commerce that could also include online pharmacy practise. National legislation, however, may rule them out either directly or indirectly. Regardless of European internal markets online pharmacies' cross-border operations are particularly complicated. Preliminary ruling from the European Court of Justice concerning one European online pharmacy's cross-border practise is awaited 2003-2004 and will offer some aspects for future.

Assessing Cultural Competence in Graduating Students

ERIC Educational Resources Information Center

Kohli, Hermeet K.; Kohli, Amarpreet S.; Huber, Ruth; Faul, Anna C.

2010-01-01

Twofold purpose of this study was to develop a framework to understand cultural competence in graduating social work students, and test that framework for appropriateness and predictability using multivariate statistics. Scale and predictor variables were collected using an online instrument from a nationwide convenience sample of graduating…

[Open-path online monitoring of ambient atmospheric CO2 based on laser absorption spectrum].

PubMed

He, Ying; Zhang, Yu-Jun; Kan, Rui-Feng; Xia, Hui; Geng, Hui; Ruan, Jun; Wang, Min; Cui, Xiao-Juan; Liu, Wen-Qing

2009-01-01

With the conjunction of tunable diode laser absorption spectroscopy technology (TDLAS) and the open long optical path technology, the system designing scheme of CO2 on-line monitoring based on near infrared tunable diode laser absorption spectroscopy technology was discussed in detail, and the instrument for large-range measurement was set up. By choosing the infrared absorption line of CO2 at 1.57 microm whose line strength is strong and suitable for measurement, the ambient atmospheric CO2 was measured continuously with a 30 s temporal resolution at an suburb site in the autumn of 2007. The diurnal atmospheric variations of CO2 and continuous monitoring results were presented. The results show that the variation in CO2 concentration has an obvious diurnal periodicity in suburb where the air is free of interference and contamination. The general characteristic of diurnal variation is that the concentration is low in the daytime and high at night, so it matches the photosynthesis trend. The instrument can detect gas concentration online with high resolution, high sensitivity, high precision, short response time and many other advantages, the monitoring requires no gas sampling, the calibration is easy, and the detection limit is about 4.2 x 10(-7). It has been proved that the system and measurement project are feasible, so it is an effective method for gas flux continuous online monitoring of large range in ecosystem based on TDLAS technology.

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.

Online-based interventions for sexual health among individuals with cancer: a systematic review.

PubMed

Kang, Hee Sun; Kim, Hyun-Kyung; Park, Seong Man; Kim, Jung-Hee

2018-03-07

Online interventions have the advantages of being widely available, accessible, comfortable, cost effective, and they can provide tailored information and support. Despite these benefits, the effects of specifically devised online intervention programs for cancer patients' sexual problems are somewhat unclear. The aim of this review is to describe online-based interventions and to assess their effects on sexual health among cancer survivors and/or their partners. We investigated the effects of online sexual interventions among individuals with cancer or their partners. Among these, we considered 4 eligible articles. Despite the diversity of contents of the interventions, the identified modes of delivery among most of the interventions were as follows: education, interactive methods, cognitive behavior therapy, tailored information, and self-monitoring. Methods of monitoring the interventions, including the utilization of the web site and post-treatment program rating, were reported. All the online intervention programs incorporated a focus on physical, psychological, cognitive, and social aspects of sexual health. Significant effects on patient sexual function and interest and the psychological aspect of sexual problems were reported. This study provides evidence that online-based interventions would be effective in improving the psycho-sexual problems of cancer survivors and their partners.

The effect of using different competence frameworks to audit the content of a masters program in public health.

PubMed

Harrison, Roger A; Gemmell, Isla; Reed, Katie

2015-01-01

(1) To quantify the effect of using different public health competence frameworks to audit the curriculum of an online distance learning MPH program, and (2) to measure variation in the outcomes of the audit depending on which competence framework is used. Retrospective audit. We compared the teaching content of an online distance learning MPH program against each competence listed in different public health competence frameworks relevant to an MPH. We then compared the number of competences covered in each module in the program's teaching curriculum and in the program overall, for each of the competence frameworks used in this audit. A comprehensive search of the literature identified two competence frameworks specific to MPH programs and two for public health professional/specialty training. The number of individual competences in each framework were 32 for the taught aspects of the UK Faculty of Public Health Specialist Training Program, 117 for the American Association of Public Health, 282 for the exam curriculum of the UK Faculty of Public Health Part A exam, and 393 for the European Core Competencies for MPH Education. This gave a total of 824 competences included in the audit. Overall, the online MPH program covered 88-96% of the competences depending on the specific framework used. This fell when the audit focused on just the three mandatory modules in the program, and the variation between the different competence frameworks was much larger. Using different competence frameworks to audit the curriculum of an MPH program can give different indications of its quality, especially as it fails to capture teaching considered to be relevant, yet not included in an existing competence framework. The strengths and weaknesses of using competence frameworks to audit the content of an MPH program have largely been ignored. These debates are vital given that external organizations responsible for accreditation specify a particular competence framework to be used. Our study found that each of four different competence frameworks suggested different levels of quality in our teaching program, at least in terms of the competences included in the curriculum. Relying on just one established framework missed some aspects of the curriculum included in other frameworks used in this study. Conversely, each framework included items not covered by the others. Thus, levels of agreement with the content of our MPH and established areas of competence were, in part, dependent on the competence framework used to compare its' content. While not entirely a surprising finding, this study makes an important point and makes explicit the challenges of selecting an appropriate competence framework to inform MPH programs, and especially one which recruits students from around the world.

Web-based, virtual course units as a didactic concept for medical teaching.

PubMed

Schultze-Mosgau, Stefan; Zielinski, Thomas; Lochner, Jürgen

2004-06-01

The objective was to develop a web-based, virtual series of lectures for evidence-based, standardized knowledge transfer independent of location and time with possibilities for interactive participation and a concluding web-based online examination. Within the framework of a research project, specific Intranet and Internet capable course modules were developed together with a concluding examination. The concept of integrating digital and analogue course units supported by sound was based on FlashCam (Nexus Concepts), Flash MX (Macromedia), HTML and JavaScript. A Web server/SGI Indigo Unix server was used as a platform by the course provider. A variety of independent formats (swf, avi, mpeg, DivX, etc.) were integrated in the individual swf modules. An online examination was developed to monitor the learning effect. The examination papers are automatically forwarded by email after completion. The results are also returned to the user automatically after they have been processed by a key program and an evaluation program. The system requirements for the user PC have deliberately been kept low (Internet Explorer 5.0, Flash-Player 6, 56 kbit/s modem, 200 MHz PC). Navigation is intuitive. Users were provided with a technical online introduction and a FAQ list. Eighty-two students of dentistry in their 3rd to 5th years of study completed a questionnaire to assess the course content and the user friendliness (SPSS V11) with grades 1 to 6 (1 = 'excellent' and 6 = 'unsatisfactory'). The course units can be viewed under the URL: http://giga.rrze.uni-erlangen.de/movies/MKG/trailer and URL: http://giga.rrze.uni-erlangen.de/movies/MKG/demo/index. Some 89% of the students gave grades 1 (excellent) and 2 (good) for accessibility independent of time and 83% for access independent of location. Grades 1 and 2 were allocated for an objectivization of the knowledge transfer by 67% of the students and for the use of video sequences for demonstrating surgical techniques by 91% of the students. The course units were used as an optional method of studying by 87% of the students; 76% of the students made use of this facility from home; 83% of the students used Internet Explorer as a browser; 60% used online streaming and 35% downloading as the preferred method for data transfer. The course units contribute to an evidence-based objectivization of multimedia knowledge transfer independent of time and location. Online examinations permit automatic monitoring and evaluation of the learning effect. The modular structure permits easy updating of course contents. Hyperlinks with literature sources facilitate study.

Metadata and network API aspects of a framework for storing and retrieving civil infrastructure monitoring data

NASA Astrophysics Data System (ADS)

Wong, John-Michael; Stojadinovic, Bozidar

2005-05-01

A framework has been defined for storing and retrieving civil infrastructure monitoring data over a network. The framework consists of two primary components: metadata and network communications. The metadata component provides the descriptions and data definitions necessary for cataloging and searching monitoring data. The communications component provides Java classes for remotely accessing the data. Packages of Enterprise JavaBeans and data handling utility classes are written to use the underlying metadata information to build real-time monitoring applications. The utility of the framework was evaluated using wireless accelerometers on a shaking table earthquake simulation test of a reinforced concrete bridge column. The NEESgrid data and metadata repository services were used as a backend storage implementation. A web interface was created to demonstrate the utility of the data model and provides an example health monitoring application.

Model-based pH monitor for sensor assessment.

PubMed

van Schagen, Kim; Rietveld, Luuk; Veersma, Alex; Babuska, Robert

2009-01-01

Owing to the nature of the treatment processes, monitoring the processes based on individual online measurements is difficult or even impossible. However, the measurements (online and laboratory) can be combined with a priori process knowledge, using mathematical models, to objectively monitor the treatment processes and measurement devices. The pH measurement is a commonly used measurement at different stages in the drinking water treatment plant, although it is a unreliable instrument, requiring significant maintenance. It is shown that, using a grey-box model, it is possible to assess the measurement devices effectively, even if detailed information of the specific processes is unknown.

The SERENITY Runtime Monitoring Framework

NASA Astrophysics Data System (ADS)

Spanoudakis, George; Kloukinas, Christos; Mahbub, Khaled

This chapter describes SERENITY’s approach to runtime monitoring and the framework that has been developed to support it. Runtime monitoring is required in SERENITY in order to check for violations of security and dependability properties which are necessary for the correct operation of the security and dependability solutions that are available from the SERENITY framework. This chapter discusses how such properties are specified and monitored. The chapter focuses on the activation and execution of monitoring activities using S&D Patterns and the actions that may be undertaken following the detection of property violations. The approach is demonstrated in reference to one of the industrial case studies of the SERENITY project.

Computer-Mediated Social Support for Physical Activity: A Content Analysis

ERIC Educational Resources Information Center

Stragier, Jeroen; Mechant, Peter; De Marez, Lieven; Cardon, Greet

2018-01-01

Purpose: Online fitness communities are a recent phenomenon experiencing growing user bases. They can be considered as online social networks in which recording, monitoring, and sharing of physical activity (PA) are the most prevalent practices. They have added a new dimension to the social experience of PA in which online peers function as…

Evaluating Technology to Prevent Academic Integrity Violations in Online Environments

ERIC Educational Resources Information Center

Brown, Victoria

2018-01-01

Protection of academic integrity in online environments can be challenging. Understanding how the technology works and concerns about each of the methods for monitoring online interactions can assist in the selection of the best proctoring tools. Depending on the content, the type of assessment and the comfort level with the technology, a…

On-line multiple component analysis for efficient quantitative bioprocess development.

PubMed

Dietzsch, Christian; Spadiut, Oliver; Herwig, Christoph

2013-02-20

On-line monitoring devices for the precise determination of a multitude of components are a prerequisite for fast bioprocess quantification. On-line measured values have to be checked for quality and consistency, in order to extract quantitative information from these data. In the present study we characterized a novel on-line sampling and analysis device comprising an automatic photometric robot. We connected this on-line device to a bioreactor and concomitantly measured six components (i.e. glucose, glycerol, ethanol, acetate, phosphate and ammonium) during different batch cultivations of Pichia pastoris. The on-line measured data did not show significant deviations from off-line taken samples and were consequently used for incremental rate and yield calculations. In this respect we highlighted the importance of data quality and discussed the phenomenon of error propagation. On-line calculated rates and yields depicted the physiological responses of the P. pastoris cells in unlimited and limited cultures. A more detailed analysis of the physiological state was possible by considering the off-line determined biomass dry weight and the calculation of specific rates. Here we present a novel device for on-line monitoring of bioprocesses, which ensures high data quality in real-time and therefore refers to a valuable tool for Process Analytical Technology (PAT). Copyright © 2012 Elsevier B.V. All rights reserved.

Using frameworks to diagram value in complex policy and environmental interventions to prevent childhood obesity.

PubMed

Swank, Melissa Farrell; Brennan, Laura K; Gentry, Daniel; Kemner, Allison L

2015-01-01

To date, few tools assist policy makers and practitioners in understanding and conveying the implementation costs, potential impacts, and value of policy and environmental changes to address healthy eating, active living, and childhood obesity. For the Evaluation of Healthy Kids, Healthy Communities (HKHC), evaluators considered inputs (resources and investments) that generate costs and savings as well as benefits and harms related to social, economic, environmental, and health-related outcomes in their assessment of 49 HKHC community partnerships funded from 2009 to 2014. Using data collected through individual and group interviews and an online performance monitoring system, evaluators created a socioecological framework to assess investments, resources, costs, savings, benefits, and harms at the individual, organizational, community, and societal levels. Evaluators customized frameworks for 6 focal strategies: active transportation, parks and play spaces, child care physical activity standards, corner stores, farmers' markets, and child care nutrition standards. To illustrate the Value Frameworks, this brief highlights the 38 HKHC communities implementing at least 1 active transportation strategy. Evaluators populated this conceptual Value Framework with themes from the strategy-specific inputs and outputs. The range of factors corresponding to the implementation and impact of the HKHC community partnerships are highlighted along with the inputs and outputs. The Value Frameworks helped evaluators identify gaps in current analysis models (ie, benefit-cost analysis, cost-effectiveness analysis) as well as paint a more complete picture of value for potential obesity prevention strategies. These frameworks provide a comprehensive understanding of investments needed, proposed costs and savings, and potential benefits and harms associated with economic, social, environmental, and health outcomes. This framing also allowed evaluators to demonstrate the interdependence of each socioecological level on the others in these multicomponent interventions. This model can be used by practitioners and community leaders to assess realistic and sustainable strategies to combat childhood obesity.

[On-line processing mechanisms in text comprehension: a theoretical review on constructing situation models].

PubMed

Iseki, Ryuta

2004-12-01

This article reviewed research on construction of situation models during reading. To position variety of research in overall process appropriately, an unitary framework was devised in terms of three theories for on-line processing: resonance process, event-indexing model, and constructionist theory. Resonance process was treated as a basic activation mechanism in the framework. Event-indexing model was regarded as a screening system which selected and encoded activated information in situation models along with situational dimensions. Constructionist theory was considered to have a supervisory role based on coherence and explanation. From a view of the unitary framework, some problems concerning each theory were examined and possible interpretations were given. Finally, it was pointed out that there were little theoretical arguments on associative processing at global level and encoding text- and inference-information into long-term memory.

Real-time Neuroimaging and Cognitive Monitoring Using Wearable Dry EEG

PubMed Central

Mullen, Tim R.; Kothe, Christian A.E.; Chi, Mike; Ojeda, Alejandro; Kerth, Trevor; Makeig, Scott; Jung, Tzyy-Ping; Cauwenberghs, Gert

2015-01-01

Goal We present and evaluate a wearable high-density dry electrode EEG system and an open-source software framework for online neuroimaging and state classification. Methods The system integrates a 64-channel dry EEG form-factor with wireless data streaming for online analysis. A real-time software framework is applied, including adaptive artifact rejection, cortical source localization, multivariate effective connectivity inference, data visualization, and cognitive state classification from connectivity features using a constrained logistic regression approach (ProxConn). We evaluate the system identification methods on simulated 64-channel EEG data. Then we evaluate system performance, using ProxConn and a benchmark ERP method, in classifying response errors in 9 subjects using the dry EEG system. Results Simulations yielded high accuracy (AUC=0.97±0.021) for real-time cortical connectivity estimation. Response error classification using cortical effective connectivity (sdDTF) was significantly above chance with similar performance (AUC) for cLORETA (0.74±0.09) and LCMV (0.72±0.08) source localization. Cortical ERP-based classification was equivalent to ProxConn for cLORETA (0.74±0.16) but significantly better for LCMV (0.82±0.12). Conclusion We demonstrated the feasibility for real-time cortical connectivity analysis and cognitive state classification from high-density wearable dry EEG. Significance This paper is the first validated application of these methods to 64-channel dry EEG. The work addresses a need for robust real-time measurement and interpretation of complex brain activity in the dynamic environment of the wearable setting. Such advances can have broad impact in research, medicine, and brain-computer interfaces. The pipelines are made freely available in the open-source SIFT and BCILAB toolboxes. PMID:26415149

Towards a Framework for Creative Online Collaboration: A Research on Challenges and Context

ERIC Educational Resources Information Center

Stockleben, Björn; Thayne, Martyn; Jäminki, Seija; Haukijärvi, Ilkka; Mavengere, Nicholas Blessing; Demirbilek, Muhammet; Ruohonen, Mikko

2017-01-01

The OnCreate project was initiated by ten universities with expertise in collaborative work in online-based learning environments and explores the specific challenges of implementing university courses in creative disciplines in such an environment. The first research phase comprises a literature search on creativity and its contextual factors in…

The Negotiation and Co-Construction of Meaning and Understanding within a Postgraduate Online Learning Community

ERIC Educational Resources Information Center

Littleton, Karen; Whitelock, Denise

2005-01-01

There is an increasing development of courses and course components taught through teaching and learning dialogues online yet there is little secure knowledge regarding the educational quality of these dialogues. Drawing on contemporary sociocultural research, this paper adapts a well-established analytical framework (see Mercer, 1995) that has…

Assessing College Student Subjective and Objective Knowledge in an Online Financial Education Program

ERIC Educational Resources Information Center

Bowles, Charity

2017-01-01

Purpose: This purpose of this correlational study using Joo's (2008) financial wellness framework was to determine the impact of an online financial literacy workshop on student subjective knowledge, dependent on indicators of stress, behavior, and objective knowledge, when controlling for demographic differences at a large public university.…

Review of "The Policy Framework for Online Charter Schools"

ERIC Educational Resources Information Center

Miron, Gary

2016-01-01

Relative to earlier research, this study from the Center for Reinventing Public Education provides a more in-depth analysis of policy features across the 27 states that allow online charter schools. It presents a well-organized description of policy features and includes a set of policy recommendations that generally, but not always, follow well…

Using the Community of Inquiry Framework to Scaffold Online Tutoring

ERIC Educational Resources Information Center

Feng, Xiaoying; Xie, Jingjing; Liu, Yue

2017-01-01

Tutoring involves providing learners with a suitable level of structure and guidance to support their learning. This study reports on an exploration of how to design such structure and guidance (i.e., learning scaffolds) in the Chinese online educational context, and in so doing, answer the following two questions: (a) What scaffolding strategies…

Online Synchronous Communication in the Second-Language Classroom

ERIC Educational Resources Information Center

Murphy, Elizabeth

2009-01-01

The study reported on in this paper used a framework of benefits, challenges and solutions to categorize data from a design experiment using synchronous online communication for learning French as a second language (FSL). Participants were 92 Grade 6, FSL students and four teachers from urban and rural areas of Newfoundland, Canada. Data…

Variations in Pedagogical Design of Massive Open Online Courses (MOOCs) across Disciplines

ERIC Educational Resources Information Center

Najafi, Hadieh; Rolheiser, Carol; Håklev, Stian; Harrison, Laurie

2017-01-01

Given that few studies have formally examined pedagogical design considerations of Massive Online Open Courses (MOOCs), this study explored variations in the pedagogical design of six MOOCs offered at the University of Toronto, while considering disciplinary characteristics and expectations of each MOOC. Using a framework (Neumann et al., 2002)…

Graduate Faculty Perceptions of Online Teaching in a Private Graduate School

ERIC Educational Resources Information Center

Dudak, Brian

2009-01-01

This research project investigated graduate faculty members' perceptions of online teaching. The participants were five graduate faculty members from a religious graduate school located in the mid-south. The project was a qualitative study guided by the phenomenological framework. The methods used to gather data were individual interviews and a…

Strategic Tooling: Technology for Constructing a Community of Inquiry

ERIC Educational Resources Information Center

Thompson, Penny; Vogler, Jane S.; Xiu, Ying

2017-01-01

The Community of Inquiry (CoI) framework describes online learning as a collaborative process supported by social presence, teaching presence, and cognitive presence, which work together to facilitate critical thinking and learning. The technology used in an online class can facilitate a CoI when its features support, rather than constrain,…

The Development of the Motivation for Critical Reasoning in Online Discussions Inventory (MCRODI)

ERIC Educational Resources Information Center

Zhang, Tianyi; Koehler, Matthew J.; Spatariu, Alexandru

2009-01-01

This study was conducted to develop an inventory that measures students' motivation to engage in critical reasoning in online discussions. Inventory items were developed based on theoretical frameworks and then tested on 168 participants. Using exploratory factor analysis, test-retest reliability, and internal consistency, twenty-two items were…

A Theoretical Framework and Model towards Media-Rich Social Presence Design Practices

ERIC Educational Resources Information Center

Elwood, Susan; McCaleb, Karen; Fernandez, Mary; Keengwe, Jared

2014-01-01

Educators are seeing rapid developments in online instruction with regard to not only available technologies, but also in design and teaching practices. Developing and maintaining social presence in an online environment is paramount to the success of a learning environment. This article touches upon some historical perspectives of social presence…

Applying Learning Analytics for the Early Prediction of Students' Academic Performance in Blended Learning

ERIC Educational Resources Information Center

Lu, Owen H. T.; Huang, Anna Y. Q.; Huang, Jeff C. H.; Lin, Albert J. Q.; Ogata, Hiroaki; Yang, Stephen J. H.

2018-01-01

Blended learning combines online digital resources with traditional classroom activities and enables students to attain higher learning performance through well-defined interactive strategies involving online and traditional learning activities. Learning analytics is a conceptual framework and is a part of our Precision education used to analyze…

Enhancing Learning through an Online Secondary School Educational Game

ERIC Educational Resources Information Center

Kaufman, David; Sauve, Louise; Renaud, Lise

2011-01-01

This article consists of four sections: (1) the problems associated with asthma in the province of Quebec and across Canada; (2) the theoretical framework for the learning enhanced by our online educational game entitled "Asthme: 1,2,3 ... Respirez! (Asthma: 1,2,3 ... Breath!)", created by adapting the popular board game…

Online Group Work Patterns: How to Promote a Successful Collaboration

ERIC Educational Resources Information Center

Oliveira, I.; Tinoca, L.; Pereira, A.

2011-01-01

Participation is a complex process, engaging the whole person, implying cognitive, emotional and relational aspects. In online open and distant learning, group work is a commonly used strategy, given its collaborative nature and constructivist framework ([Bates and Poole, 2003], [Garrison and Anderson, 2003] and [Jonassen, 2005]). In this context,…

Can Standards Be Met and Evaluated through an Online Teacher Education Technology Course? A Case Study.

ERIC Educational Resources Information Center

Crawford, Caroline M.; Willis, Jana

The continual evolution of the national technology standards creates a continual state of flux within the world of instructional technology. However, this creative online environment offers the possibilities that may not be available within other specialization areas; namely, the opportunity to reinvent conceptual frameworks of understanding and…

Discursive Leadership and Conceptual Fluency in Non-Native English Speakers' Online Task-Based Dialogues

ERIC Educational Resources Information Center

Boz, Umit

2014-01-01

Much research has examined how different patterns of social interaction shape language learners' interactional roles (e.g., collaborative, dominant, passive) in peer-to-peer conversations. However, little or no research has investigated the co-construction of such roles in multiparty, online task-based dialogues within the framework of discursive…

Effects of Chronotypes on Students' Choice, Participation, and Performance in Online Learning

ERIC Educational Resources Information Center

Luo, Yi; Pan, Rui; Choi, Jea H.; Strobel, Johannes

2018-01-01

Introducing a new theoretical framework of chronotypes (inner biological clock), this article presents a study examining students' choices, participation, and performance in two discussion-heavy online history courses. The study comprised two major parts: a repetition study and an exploratory study. The survey adopted in the repetition study…

What Are Tutors' Experiences with Online Teaching? A Phenomenographic Study

ERIC Educational Resources Information Center

Walter, Cvetanka

2016-01-01

This study seeks an understanding of how tutors perceived the online part of a blended learning course in the context of teaching English as a foreign language at a German university. To gain knowledge about the ways in which the tutors experienced the phenomenon, a phenomenographic methodological framework was employed. Identified were four…

External Labeling as a Framework for Access Control

ERIC Educational Resources Information Center

Rozenbroek, Thomas H.

2012-01-01

With the ever increasing volume of data existing on and passing through on-line resources together with a growing number of legitimate users of that information and potential adversaries, the need for better security and safeguards is immediate and critical. Currently, most of the security and safeguards afforded on-line information are provided…

Online Course Design in a Programmatic Framework: A Case from Social Work

ERIC Educational Resources Information Center

Stewart, Patricia Lynn

2014-01-01

The focus of this study centers on the way instructors, and more specifically, instructors within a programmatic initiative, think about teaching and the decision-making process they employ to design learning experiences for an online environment. Often administrative initiatives do not consider the unique individual instructor needs when planning…

The Lived Experience: A Study in Teaching Online

ERIC Educational Resources Information Center

Morgan, Bobbette M.

2018-01-01

A researcher with five years' experience of teaching online classes shares what she has seen and experienced while working with her students. Through the evolution of working with Tegrity, Collaborate, and ZOOM the author shares the lived experience. The work of Max van Manen, a phenomenological researcher, serves as the framework. Descriptions…

Developing online continuing education content for enhancing caring among Taiwan nurses.

PubMed

Hsu, Tzu-Chuan; Turton, Michael A; Cheng, Su-Fen; Lee-Hsieh, Jane

2013-04-01

To promote the quality of nursing care, a hospital in Taiwan committed to implementing its SHARE framework for clinical practice. This study was conducted to develop caring content for the SHARE framework in the form of online continuing education videos. Five focus group interviews were conducted with 19 exemplary nurses. A constant comparative method was used to extract caring themes that were integrated into the five components of SHARE: S: Sense patient's needs; H: Help patient out; A: Acknowledge patient's feelings; R: Respect patient's dignity and privacy; E: Explain what is happening. Concrete caring behaviors consistent with SHARE were identified. Real-world scenarios were used to produce five videos demonstrating the components of SHARE for use in online caring education. This project offers a new strategy for strengthening caring behavior in nurse-patient interactions and may help to establish a model for caring in nursing continuing education in Taiwan. Copyright 2013, SLACK Incorporated.

Establishing an online continuing and professional development library for nurses and midwives in east, central, and southern Africa

PubMed Central

Hosey, Kristen N.; Kalula, Alphonce; Voss, Joachim

2016-01-01

Over the previous 4 years, the African Health Profession Regulatory Collaborative for nurses and midwives has supported 12 countries to establish national continuing and professional development frameworks and programs, linking continuing education to nursing and midwifery re-licensure through technical assistance and improvement grants. However, lack of electronic media and rural practice sites, differences in priority content, and varying legal frameworks make providing accessible, certifiable, and up-to-date online continuing education content for the more than 300,000 nurses and midwives in the 17 member countries of the East, Central, and Southern Africa College of Nursing a major challenge. We report here on how the East, Central, and Southern Africa College of Nursing, with technical assistance from an Afya Bora Fellow, developed an online continuing professional development library hosted on their Website using data collected in a survey of nursing and midwifery leaders in the region. PMID:27086190

Instructor Social Presence within the Community of Inquiry Framework and Its Impact on Classroom Community and the Learning Environment

ERIC Educational Resources Information Center

Pollard, Herbert; Minor, Maria; Swanson, Andree

2014-01-01

A change in the Community of Inquiry (COI) framework with an addition of an instructor social presence is suggested. The sample included 137 students in the School of Business of an online university. The independent variables were teaching and social presences from the COI framework and instructor social presence from an instrument developed for…

Liquid-Arc/Spark-Excitation Atomic-Emission Spectroscopy

NASA Technical Reports Server (NTRS)

Schlagen, Kenneth J.

1992-01-01

Constituents of solutions identified in situ. Liquid-arc/spark-excitation atomic-emission spectroscopy (LAES) is experimental variant of atomic-emission spectroscopy in which electric arc or spark established in liquid and spectrum of light from arc or spark analyzed to identify chemical elements in liquid. Observations encourage development of LAES equipment for online monitoring of process streams in such industries as metal plating, electronics, and steel, and for online monitoring of streams affecting environment.

Identification and on-line monitoring of reduced sulphur species (RSS) by voltammetry in oxic waters.

PubMed

Superville, Pierre-Jean; Pižeta, Ivanka; Omanović, Dario; Billon, Gabriel

2013-08-15

Based on automatic on-line measurements on the Deûle River that showed daily variation of a peak around -0.56V (vs Ag|AgCl 3M), identification of Reduced Sulphur Species (RSS) in oxic waters was performed applying cathodic stripping voltammetry (CSV) with the hanging mercury drop electrode (HMDE). Pseudopolarographic studies accompanied with increasing concentrations of copper revealed the presence of elemental sulphur S(0), thioacetamide (TA) and reduced glutathione (GSH) as the main sulphur compounds in the Deûle River. In order to resolve these three species, a simple procedure was developed and integrated in an automatic on-line monitoring system. During one week monitoring with hourly measurements, GSH and S(0) exhibited daily cycles whereas no consequential pattern was observed for TA. Copyright © 2013 Elsevier B.V. All rights reserved.

A novel, optical, on-line bacteria sensor for monitoring drinking water quality

PubMed Central

Højris, Bo; Christensen, Sarah Christine Boesgaard; Albrechtsen, Hans-Jørgen; Smith, Christian; Dahlqvist, Mathis

2016-01-01

Today, microbial drinking water quality is monitored through either time-consuming laboratory methods or indirect on-line measurements. Results are thus either delayed or insufficient to support proactive action. A novel, optical, on-line bacteria sensor with a 10-minute time resolution has been developed. The sensor is based on 3D image recognition, and the obtained pictures are analyzed with algorithms considering 59 quantified image parameters. The sensor counts individual suspended particles and classifies them as either bacteria or abiotic particles. The technology is capable of distinguishing and quantifying bacteria and particles in pure and mixed suspensions, and the quantification correlates with total bacterial counts. Several field applications have demonstrated that the technology can monitor changes in the concentration of bacteria, and is thus well suited for rapid detection of critical conditions such as pollution events in drinking water. PMID:27040142

A novel, optical, on-line bacteria sensor for monitoring drinking water quality.

PubMed

Højris, Bo; Christensen, Sarah Christine Boesgaard; Albrechtsen, Hans-Jørgen; Smith, Christian; Dahlqvist, Mathis

2016-04-04

Today, microbial drinking water quality is monitored through either time-consuming laboratory methods or indirect on-line measurements. Results are thus either delayed or insufficient to support proactive action. A novel, optical, on-line bacteria sensor with a 10-minute time resolution has been developed. The sensor is based on 3D image recognition, and the obtained pictures are analyzed with algorithms considering 59 quantified image parameters. The sensor counts individual suspended particles and classifies them as either bacteria or abiotic particles. The technology is capable of distinguishing and quantifying bacteria and particles in pure and mixed suspensions, and the quantification correlates with total bacterial counts. Several field applications have demonstrated that the technology can monitor changes in the concentration of bacteria, and is thus well suited for rapid detection of critical conditions such as pollution events in drinking water.

A Self-Reporting Photocatalyst for Online Fluorescence Monitoring of High Throughput RAFT Polymerization.

PubMed

Yeow, Jonathan; Joshi, Sanket; Chapman, Robert; Boyer, Cyrille Andre Jean Marie

2018-04-25

Translating controlled/living radical polymerization (CLRP) from batch to the high throughput production of polymer libraries presents several challenges in terms of both polymer synthesis and characterization. Although recently there have been significant advances in the field of low volume, high throughput CLRP, techniques able to simultaneously monitor multiple polymerizations in an "online" manner have not yet been developed. Here, we report our discovery that 5,10,15,20-tetraphenyl-21H,23H-porphine zinc (ZnTPP) is a self-reporting photocatalyst that can mediate PET-RAFT polymerization as well as report on monomer conversion via changes in its fluorescence properties. This enables the use of a microplate reader to conduct high throughput "online" monitoring of PET-RAFT polymerizations performed directly in 384-well, low volume microtiter plates. © 2018 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Qualities of Peer Relations on Social Networking Websites: Predictions from Negative Mother-Teen Interactions

PubMed Central

Szwedo, David E.; Mikami, Amori Yee; Allen, Joseph P.

2010-01-01

This study examined associations between characteristics of teenagers’ relationships with their mothers and their later socializing behavior and peer relationship quality online. At age 13, teenagers and their mothers participated in an interaction in which mothers’ and adolescents’ behavior undermining autonomy and relatedness was observed, and indicators of teens’ depressive symptoms and social anxiety were assessed. At age 20, youth self-reported on their online behaviors, youths’ social networking webpages were observationally coded to assess peer relationship quality online, and symptoms of depression and social anxiety were reassessed. Results suggested that problematic mother-teen relationships were predictive of youths’ later preference for online communication and greater likelihood of forming a friendship with someone met online, yet poorer quality in online relationships. Findings are discussed within a developmental framework suggesting the importance of considering youths’ family interactions during early adolescence as predictors of future online socializing behavior and online interactions with peers. PMID:21860584

Qualities of Peer Relations on Social Networking Websites: Predictions from Negative Mother-Teen Interactions.

PubMed

Szwedo, David E; Mikami, Amori Yee; Allen, Joseph P

2011-09-01

This study examined associations between characteristics of teenagers' relationships with their mothers and their later socializing behavior and peer relationship quality online. At age 13, teenagers and their mothers participated in an interaction in which mothers' and adolescents' behavior undermining autonomy and relatedness was observed, and indicators of teens' depressive symptoms and social anxiety were assessed. At age 20, youth self-reported on their online behaviors, youths' social networking webpages were observationally coded to assess peer relationship quality online, and symptoms of depression and social anxiety were reassessed. Results suggested that problematic mother-teen relationships were predictive of youths' later preference for online communication and greater likelihood of forming a friendship with someone met online, yet poorer quality in online relationships. Findings are discussed within a developmental framework suggesting the importance of considering youths' family interactions during early adolescence as predictors of future online socializing behavior and online interactions with peers.

Adaptive online monitoring for ICU patients by combining just-in-time learning and principal component analysis.

PubMed

Li, Xuejian; Wang, Youqing

2016-12-01

Offline general-type models are widely used for patients' monitoring in intensive care units (ICUs), which are developed by using past collected datasets consisting of thousands of patients. However, these models may fail to adapt to the changing states of ICU patients. Thus, to be more robust and effective, the monitoring models should be adaptable to individual patients. A novel combination of just-in-time learning (JITL) and principal component analysis (PCA), referred to learning-type PCA (L-PCA), was proposed for adaptive online monitoring of patients in ICUs. JITL was used to gather the most relevant data samples for adaptive modeling of complex physiological processes. PCA was used to build an online individual-type model and calculate monitoring statistics, and then to judge whether the patient's status is normal or not. The adaptability of L-PCA lies in the usage of individual data and the continuous updating of the training dataset. Twelve subjects were selected from the Physiobank's Multi-parameter Intelligent Monitoring for Intensive Care II (MIMIC II) database, and five vital signs of each subject were chosen. The proposed method was compared with the traditional PCA and fast moving-window PCA (Fast MWPCA). The experimental results demonstrated that the fault detection rates respectively increased by 20 % and 47 % compared with PCA and Fast MWPCA. L-PCA is first introduced into ICU patients monitoring and achieves the best monitoring performance in terms of adaptability to changes in patient status and sensitivity for abnormality detection.

Graphics performance in rich Internet applications.

PubMed

Hoetzlein, Rama C

2012-01-01

Rendering performance for rich Internet applications (RIAs) has recently focused on the debate between using Flash and HTML5 for streaming video and gaming on mobile devices. A key area not widely explored, however, is the scalability of raw bitmap graphics performance for RIAs. Does Flash render animated sprites faster than HTML5? How much faster is WebGL than Flash? Answers to these questions are essential for developing large-scale data visualizations, online games, and truly dynamic websites. A new test methodology analyzes graphics performance across RIA frameworks and browsers, revealing specific performance outliers in existing frameworks. The results point toward a future in which all online experiences might be GPU accelerated.

Impact of the social networking applications for health information management for patients and physicians.

PubMed

Sahama, Tony; Liang, Jian; Iannella, Renato

2012-01-01

Most social network users hold more than one social network account and utilize them in different ways depending on the digital context. For example, friendly chat on Facebook, professional discussion on LinkedIn, and health information exchange on PatientsLikeMe. Thus many web users need to manage many disparate profiles across many distributed online sources. Maintaining these profiles is cumbersome, time consuming, inefficient, and leads to lost opportunity. In this paper we propose a framework for multiple profile management of online social networks and showcase a demonstrator utilising an open source platform. The result of the research enables a user to create and manage an integrated profile and share/synchronise their profiles with their social networks. A number of use cases were created to capture the functional requirements and describe the interactions between users and the online services. An innovative application of this project is in public health informatics. We utilize the prototype to examine how the framework can benefit patients and physicians. The framework can greatly enhance health information management for patients and more importantly offer a more comprehensive personal health overview of patients to physicians.

A Fully Redundant On-Line Mass Spectrometer System Used to Monitor Cryogenic Fuel Leaks on the Space Shuttle

NASA Technical Reports Server (NTRS)

Griffin, Timothy P.; Naylor, Guy R.; Haskell, William D.; Breznik, Greg S.; Mizell, Carolyn A.; Helms, William R.; Voska, N. (Technical Monitor)

2002-01-01

An on-line gas monitoring system was developed to replace the older systems used to monitor for cryogenic leaks on the Space Shuttles before launch. The system uses a mass spectrometer to monitor multiple locations in the process, which allows the system to monitor all gas constituents of interest in a nearly simultaneous manner. The system is fully redundant and meets all requirements for ground support equipment (GSE). This includes ruggedness to withstand launch on the Mobile Launcher Platform (MLP), ease of operation, and minimal operator intervention. The system can be fully automated so that an operator is notified when an unusual situation or fault is detected. User inputs are through personal computer using mouse and keyboard commands. The graphical user for detecting cryogenic leaks, many other gas constituents could be monitored using the Hazardous Gas Detection System (HGDS) 2000.

Understanding human quality judgment in assessing online forum contents for thread retrieval purpose

NASA Astrophysics Data System (ADS)

Ismail, Zuriati; Salim, Naomie; Huspi, Sharin Hazlin

2017-10-01

Compared to traditional materials or journals, user-generated contents are not peer-reviewed. Lack of quality control and the explosive growth of web contents make the task of finding quality information on the web especially critical. The existence of new facilities for producing web contents such as forum makes this issue more significant. This study focuses on online forums threads or discussion, where the forums contain valuable human-generated information in a form of discussions. Due to the unique structure of the online forum pages, special techniques are required to organize and search for information in these forums. Quality biased retrieval is a retrieval approach that search for relevant document and prioritized higher quality documents. Despite major concern of quality content and recent development of quality biased retrieval, there is an urgent need to understand how quality content is being judged, for retrieval and performance evaluation purposes. Furthermore, even though there are various studies on the quality of information, there is no standard framework that has been established. The primary aim of this paper is to contribute to the understanding of human quality judgment in assessing online forum contents. The foundation of this study is to compare and evaluate different frameworks (for quality biased retrieval and information quality). This led to the finding that many quality dimensions are redundant and some dimensions are understood differently between different studies. We conducted a survey on crowdsourcing community to measure the importance of each quality dimensions found in various frameworks. Accuracy and ease of understanding are among top important dimensions while threads popularity and contents manipulability are among least important dimensions. This finding is beneficial in evaluating contents of online forum.

General-Purpose Monitoring during Speech Production

ERIC Educational Resources Information Center

Ries, Stephanie; Janssen, Niels; Dufau, Stephane; Alario, F.-Xavier; Burle, Boris

2011-01-01

The concept of "monitoring" refers to our ability to control our actions on-line. Monitoring involved in speech production is often described in psycholinguistic models as an inherent part of the language system. We probed the specificity of speech monitoring in two psycholinguistic experiments where electroencephalographic activities were…

Ethics and Privacy Implications of Using the Internet and Social Media to Recruit Participants for Health Research: A Privacy-by-Design Framework for Online Recruitment

PubMed Central

Cyr, Alaina B; Arbuckle, Luk; Ferris, Lorraine E

2017-01-01

Background The Internet and social media offer promising ways to improve the reach, efficiency, and effectiveness of recruitment efforts at a reasonable cost, but raise unique ethical dilemmas. We describe how we used social media to recruit cancer patients and family caregivers for a research study, the ethical issues we encountered, and the strategies we developed to address them. Objective Drawing on the principles of Privacy by Design (PbD), a globally recognized standard for privacy protection, we aimed to develop a PbD framework for online health research recruitment. Methods We proposed a focus group study on the dietary behaviors of cancer patients and their families, and the role of Web-based dietary self-management tools. Using an established blog on our hospital website, we proposed publishing a recruitment post and sharing the link on our Twitter and Facebook pages. The Research Ethics Board (REB) raised concern about the privacy risks associated with our recruitment strategy; by clicking on a recruitment post, an individual could inadvertently disclose personal health information to third-party companies engaged in tracking online behavior. The REB asked us to revise our social media recruitment strategy with the following questions in mind: (1) How will you inform users about the potential for privacy breaches and their implications? and (2) How will you protect users from privacy breaches or inadvertently sharing potentially identifying information about themselves? Results Ethical guidelines recommend a proportionate approach to ethics assessment, which advocates for risk mitigation strategies that are proportional to the magnitude and probability of risks. We revised our social media recruitment strategy to inform users about privacy risks and to protect their privacy, while at the same time meeting our recruitment objectives. We provide a critical reflection of the perceived privacy risks associated with our social media recruitment strategy and the appropriateness of the risk mitigation strategies that we employed by assessing their alignment with PbD and by discussing the following: (1) What are the potential risks and who is at risk? (2) Is cancer considered “sensitive” personal information? (3) What is the probability of online disclosure of a cancer diagnosis in everyday life? and (4) What are the public’s expectations for privacy online and their views about online tracking, profiling, and targeting? We conclude with a PbD framework for online health research recruitment. Conclusions Researchers, REBs, ethicists, students, and potential study participants are often unaware of the privacy risks of social media research recruitment and there is no official guidance. Our PbD framework for online health research recruitment is a resource for these wide audiences. PMID:28385682

Early Detection of Infection in Pigs through an Online Monitoring System.

PubMed

Martínez-Avilés, M; Fernández-Carrión, E; López García-Baones, J M; Sánchez-Vizcaíno, J M

2017-04-01

Late detection of emergency diseases causes significant economic losses for pig producers and governments. As the first signs of animal infection are usually fever and reduced motion that lead to reduced consumption of water and feed, we developed a novel smart system to monitor body temperature and motion in real time, facilitating the early detection of infectious diseases. In this study, carried out within the framework of the European Union research project Rapidia Field, we tested the smart system on 10 pigs experimentally infected with two doses of an attenuated strain of African swine fever. Biosensors and an accelerometer embedded in an eartag captured data before and after infection, and video cameras were used to monitor the animals 24 h per day. The results showed that in 8 of 9 cases, the monitoring system detected infection onset as an increase in body temperature and decrease in movement before or simultaneously with fever detection based on rectal temperature measurement, observation of clinical signs, the decrease in water consumption or positive qPCR detection of virus. In addition, this decrease in movement was reliably detected using automatic analysis of video images therefore providing an inexpensive alternative to direct motion measurement. The system can be set up to alert staff when high fever, reduced motion or both are detected in one or more animals. This system may be useful for monitoring sentinel herds in real time, considerably reducing the financial and logistical costs of periodic sampling and increasing the chances of early detection of infection. © 2015 Blackwell Verlag GmbH.

An Intelligent Optical Dissolved Oxygen Measurement Method Based on a Fluorescent Quenching Mechanism.

PubMed

Li, Fengmei; Wei, Yaoguang; Chen, Yingyi; Li, Daoliang; Zhang, Xu

2015-12-09

Dissolved oxygen (DO) is a key factor that influences the healthy growth of fishes in aquaculture. The DO content changes with the aquatic environment and should therefore be monitored online. However, traditional measurement methods, such as iodometry and other chemical analysis methods, are not suitable for online monitoring. The Clark method is not stable enough for extended periods of monitoring. To solve these problems, this paper proposes an intelligent DO measurement method based on the fluorescence quenching mechanism. The measurement system is composed of fluorescent quenching detection, signal conditioning, intelligent processing, and power supply modules. The optical probe adopts the fluorescent quenching mechanism to detect the DO content and solves the problem, whereas traditional chemical methods are easily influenced by the environment. The optical probe contains a thermistor and dual excitation sources to isolate visible parasitic light and execute a compensation strategy. The intelligent processing module adopts the IEEE 1451.2 standard and realizes intelligent compensation. Experimental results show that the optical measurement method is stable, accurate, and suitable for online DO monitoring in aquaculture applications.

Spectroscopic On-Line Monitoring of Cu/W Contacts Erosion in HVCBs Using Optical-Fibre Based Sensor and Chromatic Methodology

PubMed Central

Wang, Zhixiang; Jones, Gordon R.; Spencer, Joseph W.; Wang, Xiaohua; Rong, Mingzhe

2017-01-01

Contact erosion is one of the most crucial factors affecting the electrical service lifetime of high-voltage circuit breakers (HVCBs). On-line monitoring the contacts’ erosion degree is increasingly in demand for the sake of condition based maintenance to guarantee the functional operation of HVCBs. A spectroscopic monitoring system has been designed based upon a commercial 245 kV/40 kA SF6 live tank circuit breaker with copper–tungsten (28 wt % and 72 wt %) arcing contacts at atmospheric SF6 pressure. Three optical-fibre based sensors are used to capture the time-resolved spectra of arcs. A novel approach using chromatic methods to process the time-resolved spectral signal has been proposed. The processed chromatic parameters have been interpreted to show that the time variation of spectral emission from the contact material and quenching gas are closely correlated to the mass loss and surface degradation of the plug arcing contact. The feasibility of applying this method to online monitoring of contact erosion is indicated. PMID:28272295

Spectroscopic On-Line Monitoring of Cu/W Contacts Erosion in HVCBs Using Optical-Fibre Based Sensor and Chromatic Methodology.

PubMed

Wang, Zhixiang; Jones, Gordon R; Spencer, Joseph W; Wang, Xiaohua; Rong, Mingzhe

2017-03-06

Contact erosion is one of the most crucial factors affecting the electrical service lifetime of high-voltage circuit breakers (HVCBs). On-line monitoring the contacts' erosion degree is increasingly in demand for the sake of condition based maintenance to guarantee the functional operation of HVCBs. A spectroscopic monitoring system has been designed based upon a commercial 245 kV/40 kA S F 6 live tank circuit breaker with copper-tungsten (28 wt % and 72 wt %) arcing contacts at atmospheric S F 6 pressure. Three optical-fibre based sensors are used to capture the time-resolved spectra of arcs. A novel approach using chromatic methods to process the time-resolved spectral signal has been proposed. The processed chromatic parameters have been interpreted to show that the time variation of spectral emission from the contact material and quenching gas are closely correlated to the mass loss and surface degradation of the plug arcing contact. The feasibility of applying this method to online monitoring of contact erosion is indicated.

An Intelligent Optical Dissolved Oxygen Measurement Method Based on a Fluorescent Quenching Mechanism

PubMed Central

Li, Fengmei; Wei, Yaoguang; Chen, Yingyi; Li, Daoliang; Zhang, Xu

2015-01-01

Dissolved oxygen (DO) is a key factor that influences the healthy growth of fishes in aquaculture. The DO content changes with the aquatic environment and should therefore be monitored online. However, traditional measurement methods, such as iodometry and other chemical analysis methods, are not suitable for online monitoring. The Clark method is not stable enough for extended periods of monitoring. To solve these problems, this paper proposes an intelligent DO measurement method based on the fluorescence quenching mechanism. The measurement system is composed of fluorescent quenching detection, signal conditioning, intelligent processing, and power supply modules. The optical probe adopts the fluorescent quenching mechanism to detect the DO content and solves the problem, whereas traditional chemical methods are easily influenced by the environment. The optical probe contains a thermistor and dual excitation sources to isolate visible parasitic light and execute a compensation strategy. The intelligent processing module adopts the IEEE 1451.2 standard and realizes intelligent compensation. Experimental results show that the optical measurement method is stable, accurate, and suitable for online DO monitoring in aquaculture applications. PMID:26690176

[On-line monitoring of biomass in 1,3-propanediol fermentation by Fourier-transformed near-infrared spectra analysis].

PubMed

Wang, Lu; Liu, Tao; Chen, Yang; Sun, Yaqin; Xiu, Zhilong

2017-01-25

Biomass is an important parameter reflecting the fermentation dynamics. Real-time monitoring of biomass can be used to control and optimize a fermentation process. To overcome the deficiencies of measurement delay and manual errors from offline measurement, we designed an experimental platform for online monitoring the biomass during a 1,3-propanediol fermentation process, based on using the fourier-transformed near-infrared (FT-NIR) spectra analysis. By pre-processing the real-time sampled spectra and analyzing the sensitive spectra bands, a partial least-squares algorithm was proposed to establish a dynamic prediction model for the biomass change during a 1,3-propanediol fermentation process. The fermentation processes with substrate glycerol concentrations of 60 g/L and 40 g/L were used as the external validation experiments. The root mean square error of prediction (RMSEP) obtained by analyzing experimental data was 0.341 6 and 0.274 3, respectively. These results showed that the established model gave good prediction and could be effectively used for on-line monitoring the biomass during a 1,3-propanediol fermentation process.

Extending Prior Posts in Dyadic Online Text Chat

ERIC Educational Resources Information Center

Tudini, Vincenza

2015-01-01

This study explores whether chat users are able to extend prior, apparently completed posts in the dyadic online text chat context. Dyadic text chat has a unique turn-taking system, and most chat softwares do not permit users to monitor one another's written messages-in-progress. This is likely to impact on their use of online extensions as an…

Parents, Teens, and Online Privacy

ERIC Educational Resources Information Center

Madden, Mary; Cortesi, Sandra; Gasser, Urs; Lenhart, Amanda; Duggan, Maeve

2012-01-01

Most parents of teenagers are concerned about what their teenage children do online and how their behavior could be monitored by others. Some parents are taking steps to observe, discuss, and check up on their children's digital footprints. A new survey of 802 parents and their teens shows that: (1) 81% of parents of online teens say they are…

Hermeneutics as a Methodological Resource for Understanding Empathy in On-Line Learning Environments

ERIC Educational Resources Information Center

Walshaw, Margaret; Duncan, Wayne

2015-01-01

Hermeneutics is both a philosophical tradition and a methodological resource. In this qualitative study, hermeneutics provided, simultaneously, a framework and a methodology for understanding empathy in synchronous multimedia conferencing. As a framework for the design of the study, hermeneutics supported the overriding objective to understand the…

Collaborative Rhetorical Structure: A Discourse Analysis Method for Analyzing Student Collaborative Inquiry via Computer Conferencing

ERIC Educational Resources Information Center

Kou, Xiaojing

2011-01-01

Various formats of online discussion have proven valuable for enhancing learning and collaboration in distance and blended learning contexts. However, despite their capacity to reveal essential processes in collaborative inquiry, current mainstream analytical frameworks, such as the cognitive presence framework (Garrison, Anderson, & Archer,…

A Critique of the Community of Inquiry Framework

ERIC Educational Resources Information Center

Xin, Cindy

2012-01-01

This conceptual paper critiques the popular Community of Inquiry framework (CoI) that is widely used for studying text-based asynchronous online discussion (Garrison, Anderson, & Archer, 2000). It re-examines the three main aspects of CoI (cognitive presence, social presence, and teaching presence) and their relationship, and further highlights…

A Content Analysis of Multinationals' Web Communication Strategies: Cross-Cultural Research Framework and Pre-Testing.

ERIC Educational Resources Information Center

Okazaki, Shintaro; Alonso Rivas, Javier

2002-01-01

Discussion of research methodology for evaluating the degree of standardization in multinational corporations' online communication strategies across differing cultures focuses on a research framework for cross-cultural comparison of corporate Web pages, applying traditional advertising content study techniques. Describes pre-tests that examined…

Towards Real-Time Speech Emotion Recognition for Affective E-Learning

ERIC Educational Resources Information Center

Bahreini, Kiavash; Nadolski, Rob; Westera, Wim

2016-01-01

This paper presents the voice emotion recognition part of the FILTWAM framework for real-time emotion recognition in affective e-learning settings. FILTWAM (Framework for Improving Learning Through Webcams And Microphones) intends to offer timely and appropriate online feedback based upon learner's vocal intonations and facial expressions in order…

The Ecology of Interactive Learning Environments: Situating Traditional Theory

ERIC Educational Resources Information Center

Johnson, Genevieve Marie

2014-01-01

In educational discourse on human learning (i.e. the result of experience) and development (i.e. the result of maturation), there are three fundamental theoretical frameworks, -- behaviourism, cognitivism and constructivism, each of which have been applied, with varying degrees of success, in online environments. An ecological framework of human…

A Framework for the Selection of Electronic Marketplaces: A Content Analysis Approach.

ERIC Educational Resources Information Center

Stockdale, Rosemary; Standing, Craig

2002-01-01

Discussion of electronic marketplaces focuses on a content analysis of research and practitioner articles that evaluated issues that prospective participants, seeking to purchase goods and services online, need to address in their selection process. Proposes a framework to support electronic marketplace decision making that includes internal…

Growth monitoring and control in complex medium: a case study employing fed-batch penicillin fermentation and computer-aided on-line mass balancing.

PubMed

Mou, D G; Cooney, C L

1983-01-01

To broaden the practicality of on-line growth monitoring and control, its application in fedbatch penicillin fermentation using high corn steep liquor (CSL) concentration (53 g/L) is demonstrated. By employing a calculation method that considers the vagaries of CSL consumption, overall and instantaneous carbon-balancing equations are successfully used to calculate, on-line, the cell concentration and instantaneous specific growth rate in the penicillin production phase. As a consequence, these equations, together with a feedback control strategy, enable the computer control of glucose feed and maintenance of the preselected production-phase growth rate with error less than 0.002 h(-1).

The design and implementation of on-line monitoring system for UHV compact shunt capacitors

NASA Astrophysics Data System (ADS)

Tao, Weiliang; Ni, Xuefeng; Lin, Hao; Jiang, Shengbao

2017-08-01

Because of the large capacity and compact structure of the UHV compact shunt capacitor, it is difficult to take effective measures to detect and prevent the faults. If the fault capacitor fails to take timely maintenance, it will pose a threat to the safe operation of the system and the life safety of the maintenance personnel. The development of UHV compact shunt capacitor on-line monitoring system can detect and record the on-line operation information of UHV compact shunt capacitors, analyze and evaluate the early fault warning signs, find out the fault capacitor or the capacitor with fault symptom, to ensure safe and reliable operation of the system.

An Online Risk Monitor System (ORMS) to Increase Safety and Security Levels in Industry

NASA Astrophysics Data System (ADS)

Zubair, M.; Rahman, Khalil Ur; Hassan, Mehmood Ul

2013-12-01

The main idea of this research is to develop an Online Risk Monitor System (ORMS) based on Living Probabilistic Safety Assessment (LPSA). The article highlights the essential features and functions of ORMS. The basic models and modules such as, Reliability Data Update Model (RDUM), running time update, redundant system unavailability update, Engineered Safety Features (ESF) unavailability update and general system update have been described in this study. ORMS not only provides quantitative analysis but also highlights qualitative aspects of risk measures. ORMS is capable of automatically updating the online risk models and reliability parameters of equipment. ORMS can support in the decision making process of operators and managers in Nuclear Power Plants.

A systematic review and summarization of the recommendations and research surrounding Curriculum-Based Measurement of oral reading fluency (CBM-R) decision rules.

PubMed

Ardoin, Scott P; Christ, Theodore J; Morena, Laura S; Cormier, Damien C; Klingbeil, David A

2013-02-01

Research and policy have established that data are necessary to guide decisions within education. Many of these decisions are made within problem solving and response to intervention frameworks for service delivery. Curriculum-Based Measurement in Reading (CBM-R) is a widely used data collection procedure within those models of service delivery. Although the evidence for CBM-R as a screening and benchmarking procedure has been summarized multiple times in the literature, there is no comprehensive review of the evidence for its application to monitor and evaluate individual student progress. The purpose of this study was to identify and summarize the psychometric and empirical evidence for CBM-R as it is used to monitor and evaluate student progress. There was an emphasis on the recommended number of data points collected during progress monitoring and interpretive guidelines. The review identified 171 journal articles, chapters, and instructional manuals using online search engines and research databases. Recommendations and evidence from 102 documents that met the study criteria were evaluated and summarized. Results indicate that most decision-making practices are based on expert opinion and that there is very limited psychometric or empirical support for such practices. There is a lack of published evidence to support program evaluation and progress monitoring with CBM-R. More research is required to inform data collection procedures and interpretive guidelines. Copyright © 2012 Society for the Study of School Psychology. Published by Elsevier Ltd. All rights reserved.

Pharmacovigilance in China: current situation, successes and challenges.

PubMed

Zhang, Li; Wong, Lisa Y L; He, Ying; Wong, Ian C K

2014-10-01

With the integration of the global pharmaceutical economy and the gradual transformation of the healthcare insurance system in China, the legislative framework for a comprehensive regulatory system monitoring the whole process including drug development, manufacture, distribution and use has been established by the China Food and Drug Administration (CFDA) to ensure the safety and effectiveness of medication use. China has established a relatively comprehensive pharmacovigilance system covering regulation, organisation and technology from 1989 to 2014. As of 2013, one national centre, 34 provincial centres and more than 400 municipal centres for adverse drug reaction (ADR) monitoring were included in the four-level pharmacovigilance network (national, provincial, municipal and county) with more than 200,000 grassroot organisation users. The China Adverse Drug Reaction Monitoring System (CADRMS) is an online spontaneous reporting system which connects the four-level pharmacovigilance network. By 2013, CADRMS had received over 6.6 million ADR case reports. After integrating and analysing pharmacovigilance data, the National Centre for ADR Monitoring (NCADRM) publishes medication safety information by releasing ADR bulletins, National ADR Annual Reports and International Pharmacovigilance Newsletters. The NCADRM also routinely provides CADRMS data feedback to manufacturers. The CFDA implemented risk management through several approaches, including arranging 'manufacturer communication meetings', modification of medication package inserts, and restriction, suspension or withdrawal of marketing authorisations. Seamless information exchange with overseas regulatory authorities and organisations remains an area for improvement. Further development of the China pharmacovigilance system in terms of signal generation, post-marketing pharmacoepidemiology research and education is also needed.

A Fully Redundant On-Line Mass Spectrometer System Used to Monitor Cryogenic Fuel Leaks on the Space Shuttle

NASA Technical Reports Server (NTRS)

Griffin, T. P.; Naylor, G. R.; Haskell, W. D.; Breznik, G. S.; Mizell, C. A.; Steinrock, Todd (Technical Monitor)

2001-01-01

This paper presents an on-line mass spectrometer designed to monitor for cryogenic leaks on the Space Shuttle. The topics include: 1) Hazardous Gas Detection Lab; 2) LASRE Test Support; 3) Background; 4) Location of Systems; 5) Sample Lines for Gas Detection; 6) Problems with Current Systems; 7) Requirements for New System (Nitrogen and Helium Background); and 8) HGDS 2000. This paper is in viewgraph form.

AgriSense-STARS: Advancing Methods of Agricultural Monitoring for Food Security in Smallholder Regions - the Case for Tanzania

NASA Astrophysics Data System (ADS)

Dempewolf, J.; Becker-Reshef, I.; Nakalembe, C. L.; Tumbo, S.; Maurice, S.; Mbilinyi, B.; Ntikha, O.; Hansen, M.; Justice, C. J.; Adusei, B.; Kongo, V.

2015-12-01

In-season monitoring of crop conditions provides critical information for agricultural policy and decision making and most importantly for food security planning and management. Nationwide agricultural monitoring in countries dominated by smallholder farming systems, generally relies on extensive networks of field data collectors. In Tanzania, extension agents make up this network and report on conditions across the country, approaching a "near-census". Data is collected on paper which is resource and time intensive, as well as prone to errors. Data quality is ambiguous and there is a general lack of clear and functional feedback loops between farmers, extension agents, analysts and decision makers. Moreover, the data are not spatially explicit, limiting the usefulness for analysis and quality of policy outcomes. Despite significant advances in remote sensing and information communication technologies (ICT) for monitoring agriculture, the full potential of these new tools is yet to be realized in Tanzania. Their use is constrained by the lack of resources, skills and infrastructure to access and process these data. The use of ICT technologies for data collection, processing and analysis is equally limited. The AgriSense-STARS project is developing and testing a system for national-scale in-season monitoring of smallholder agriculture using a combination of three main tools, 1) GLAM-East Africa, an automated MODIS satellite image processing system, 2) field data collection using GeoODK and unmanned aerial vehicles (UAVs), and 3) the Tanzania Crop Monitor, a collaborative online portal for data management and reporting. These tools are developed and applied in Tanzania through the National Food Security Division of the Ministry of Agriculture, Food Security and Cooperatives (MAFC) within a statistically representative sampling framework (area frame) that ensures data quality, representability and resource efficiency.

Continuing education: online monitoring of haemodialysis dose.

PubMed

Vartia, Aarne

2018-01-25

Kt/V urea reflects the efficacy of haemodialysis scaled to patient size (urea distribution volume). The guidelines recommend monthly Kt/V measurements based on blood samples. Modern haemodialysis machines are equipped with accessories monitoring the dose online at every session without extra costs, blood samples and computers. To describe the principles, devices, benefits and shortcomings of online monitoring of haemodialysis dose. A critical literature overview and discussion. UV absorbance methods measure Kt/V, ionic dialysance Kt (product of clearance and treatment time; cleared volume without scaling). Both are easy and useful methods, but comparison is difficult due to problems in scaling of the dialysis dose to the patient's size. The best dose estimation method is the one which predicts the quality of life and survival most accurately. There is some evidence on the predictive value of ionic dialysance Kt, but more documentation is required on the UV method. Online monitoring is a useful tool in everyday quality assurance, but blood samples are still required for more accurate kinetic modelling. After reading this article the reader should be able to: Understand the elements of the Kt/V equation for dialysis dose. Compare and contrast different methods of measurement of dialysis dose. Reflect on the importance of adequate dialysis dose for patient survival and life quality. © 2018 European Dialysis and Transplant Nurses Association/European Renal Care Association.

Towards a better control of the wastewater treatment process: excitation-emission matrix fluorescence spectroscopy of dissolved organic matter as a predictive tool of soluble BOD5 in influents of six Parisian wastewater treatment plants.

PubMed

Goffin, Angélique; Guérin, Sabrina; Rocher, Vincent; Varrault, Gilles

2018-03-01

The online monitoring of dissolved organic matter (DOM) in raw sewage water is expected to better control wastewater treatment processes. Fluorescence spectroscopy offers one possibility for both the online and real-time monitoring of DOM, especially as regards the DOM biodegradability assessment. In this study, three-dimensional fluorescence spectroscopy combined with a parallel factor analysis (PARAFAC) has been investigated as a predictive tool of the soluble biological oxygen demand in 5 days (BOD 5 ) for raw sewage water. Six PARAFAC components were highlighted in 69 raw sewage water samples: C2, C5, and C6 related to humic-like compounds, along with C1, C3, and C4 related to protein-like compounds. Since the PARAFAC methodology is not available for online monitoring, a peak-picking approach based on maximum excitation-emission (Ex-Em) localization of the PARAFAC components identified in this study has been used. A good predictive model of soluble BOD 5 using fluorescence spectroscopy parameters was obtained (r 2  = 0.846, adjusted r 2  = 0.839, p < 0.0001). This model is quite straightforward, easy to automate, and applicable to the operational field of wastewater treatment for online monitoring purposes.

User-level framework for performance monitoring of HPC applications

NASA Astrophysics Data System (ADS)

Hristova, R.; Goranov, G.

2013-10-01

HP-SEE is an infrastructure that links the existing HPC facilities in South East Europe in a common infrastructure. The analysis of the performance monitoring of the High-Performance Computing (HPC) applications in the infrastructure can be useful for the end user as diagnostic for the overall performance of his applications. The existing monitoring tools for HP-SEE provide to the end user only aggregated information for all applications. Usually, the user does not have permissions to select only the relevant information for him and for his applications. In this article we present a framework for performance monitoring of the HPC applications in the HP-SEE infrastructure. The framework provides standardized performance metrics, which every user can use in order to monitor his applications. Furthermore as a part of the framework a program interface is developed. The interface allows the user to publish metrics data from his application and to read and analyze gathered information. Publishing and reading through the framework is possible only with grid certificate valid for the infrastructure. Therefore the user is authorized to access only the data for his applications.

On-Line Sentence Processing in Swedish: Cross-Linguistic Developmental Comparisons with French

ERIC Educational Resources Information Center

Kail, Michele; Kihlstedt, Maria; Bonnet, Philippe

2012-01-01

This study examined on-line processing of Swedish sentences in a grammaticality-judgement experiment within the framework of the Competition Model. Three age groups from 6 to 11 and an adult group were asked to detect grammatical violations as quickly as possible. Three factors concerning cue cost were studied: violation position (early vs. late),…

A Comparison of Traditional and Cooperative Learning Methods in Online Learning

ERIC Educational Resources Information Center

Kupczynski, Lori; Mundy, Marie-Anne; Ruiz, Alberto

2013-01-01

The purpose of this study was to examine the effects of the Community of Inquiry framework through an in-depth examination of learning comprised of teaching, social and cognitive presence in traditional versus cooperative online teaching at a community college. A total of 21 students participated in this study, with approximately 45% having taken…

The Evolution and Evaluation of an Online Role Play through Design-Based Research

ERIC Educational Resources Information Center

Beckmann, Elizabeth A.; Mahanty, Sango

2016-01-01

This paper presents selected findings from a 5-year design-based research case study of the evolution of an online role play that allows postgraduate students to explore the complexities inherent in land rights negotiations between indigenous peoples and others. In the context of Laurillard's (2002) conversational framework and a design-based…

Latino Adolescents' Perceived Discrimination in Online and Offline Settings: An Examination of Cultural Risk and Protective Factors

ERIC Educational Resources Information Center

Umaña-Taylor, Adriana J.; Tynes, Brendesha M.; Toomey, Russell B.; Williams, David R.; Mitchell, Kimberly J.

2015-01-01

Guided by a risk and resilience framework, the current study examined the associations between Latino adolescents' ("n" = 219; "M" [subscript age] = 14.35; "SD" = 1.75) perceptions of ethnic discrimination in multiple settings (e.g., online, school) and several domains of adjustment (e.g., mental health, academic),…

Framing and Enhancing Distributed Leadership in the Quality Management of Online Learning Environments in Higher Education

ERIC Educational Resources Information Center

Holt, Dale; Palmer, Stuart; Gosper, Maree; Sankey, Michael; Allan, Garry

2014-01-01

This article reports on the findings of senior leadership interviews in a nationally funded project on distributed leadership in the quality management of online learning environments (OLEs) in higher education. Questions were framed around the development of an OLE quality management framework and the situation of the characteristics of…

Cost-Efficiencies in Online Learning. ASHE Higher Education Report, Volume 32, Number 1

ERIC Educational Resources Information Center

Meyer, Katrina A.

2006-01-01

This monograph is divided into five chapters. The first chapter provides a road map for understanding the review of studies on cost-efficiencies of online learning, including understanding why cost-efficiencies are so important to many higher education institutions and the framework used to categorize and discuss these studies. The second chapter…

Comparison and Evaluation of End-User Interfaces for Online Public Access Catalogs.

ERIC Educational Resources Information Center

Zumer, Maja

End-user interfaces for the online public access catalogs (OPACs) of OhioLINK, a system linking major university and research libraries in Ohio, and its 16 member libraries, accessible through the Internet, are compared and evaluated from the user-oriented perspective. A common, systematic framework was used for the scientific observation of the…

Beyond Instructional Design: Making Learning Design a Reality

ERIC Educational Resources Information Center

Sims, Rod

2006-01-01

When we reflect on the emergence of online education and e-learning as the leading contender to confront the traditions of face-to-face teaching and learning, it is not only a case of better understanding the characteristics of online environments, but also timely to assess the relevance of theories and frameworks informing the design and…

Adapting New Media Literacies to Participatory Spaces: Social Media Literacy Practices of Multilingual Students

ERIC Educational Resources Information Center

Solmaz, Osman

2017-01-01

Approaching the new media literacies as social practices through the lens of Participatory Culture Framework, the present study adapted new media literacies to online social networks and examined the social media literacy practices of international graduate students (IGSs). The data was collected through an online survey of 90 IGSs,…

The ACODEA Framework: Developing Segmentation and Classification Schemes for Fully Automatic Analysis of Online Discussions

ERIC Educational Resources Information Center

Mu, Jin; Stegmann, Karsten; Mayfield, Elijah; Rose, Carolyn; Fischer, Frank

2012-01-01

Research related to online discussions frequently faces the problem of analyzing huge corpora. Natural Language Processing (NLP) technologies may allow automating this analysis. However, the state-of-the-art in machine learning and text mining approaches yields models that do not transfer well between corpora related to different topics. Also,…

Not that Different in Theory: Discussing the Control-Value Theory of Emotions in Online Learning Environments

ERIC Educational Resources Information Center

Daniels, Lia M.; Stupnisky, Robert H.

2012-01-01

This commentary investigates the extent to which the control-value theory of emotions (Pekrun, 2006) is applicable in online learning environments. Four empirical studies in this special issue of "The Internet and Higher Education" explicitly used the control-value theory as their theoretical framework and several others have components of the…

Associations between Online Friendship and Internet Addiction among Adolescents and Emerging Adults

ERIC Educational Resources Information Center

Smahel, David; Brown, B. Bradford; Blinka, Lukas

2012-01-01

The past decades have witnessed a dramatic increase in the number of youths using the Internet, especially for communicating with peers. Online activity can widen and strengthen the social networks of adolescents and emerging adults (Subrahmanyam & Smahel, 2011), but it also increases the risk of Internet addiction. Using a framework derived from…

Connectivity: A Framework for Understanding Effective Language Teaching in Face-to-Face and Online Learning Communities

ERIC Educational Resources Information Center

Senior, Rose

2010-01-01

This is an exploratory paper that uses the construct of connectivity to examine the nature of effective language teaching and learning in both face-to-face and online learning environments. Broader in scope than Siemens' notion of connectivism, the term connectivity accommodates both transmission approaches to teaching and learning and social…

An Examination of Faculty Innovativeness in Relation to Inductive Teaching and the Use of Technology

ERIC Educational Resources Information Center

Forrer, Donald A.; Wyant, Nancey A.; Gordin, Patricia C.

2014-01-01

The conceptual framework for this research describes the processes faculty use to create an online course that meets learning outcomes while creating a positive learning experience for the online student. This involves acceptance of technology to create a course structured for inductive learning in addition to traditional deductive learning. The…

Teacher-Student Interaction and Learning in Online Theological Education. Part II: Additional Theoretical Frameworks

ERIC Educational Resources Information Center

Heinemann, Mark H.

2005-01-01

Many theological educators ask how on-line classes can provide students with the kind of personal teacher-student interaction that is needed in a healthy and holistic approach to preparation for ministry. A quantitative study was undertaken for the purpose of examining the relationships between three major types of teacher-student interaction…

Using a Two-Factor Framework to Optimize Online Students' Satisfaction While Minimizing Their Dissatisfaction

ERIC Educational Resources Information Center

Watson, Firm Faith Saint Annie

2016-01-01

Students' satisfaction is a very important indicator of the caliber of online courses, a learning modality which has escalated in the last decade. Satisfaction, however, is a complex construct and most related studies assume that satisfaction is the opposite of dissatisfaction. An alternative view from the area of organizational psychology was…

Gamers as Designers: A Framework for Investigating Design in Gaming Affinity Spaces

ERIC Educational Resources Information Center

Duncan, Sean C.

2010-01-01

This article addresses recent approaches to uncovering and theorizing the design activities that occur in online gaming affinity spaces. Examples are presented of productive d/Discourse present within online forums around three video game series, video games, or game platforms, and key design practices engaged upon by gamers in these spaces. It is…

A Phenomenological Study of Teamwork in Online and Face-to-Face Student Teams

ERIC Educational Resources Information Center

Saghafian, Marzieh; O'Neill, D. Kevin

2018-01-01

Team-based projects are widely used in both traditional face-to-face and online programs in higher education. To date, the teamwork experiences of students in each modality have been documented primarily through evaluative research conducted over short spans of time and limited by a priori frameworks. The literature also reflects a lack of…

Establishing a Community of Inquiry through Hybrid Courses in Clinical Social Work Education

ERIC Educational Resources Information Center

Ferrera, Maria; Ostrander, Noam; Crabtree-Nelson, Sonya

2013-01-01

Utilizing the conceptual framework of Garrison, Anderson, and Archer for critical inquiry, this paper outlines the importance of the community of inquiry (COI) model and how it may inform online social work education. Integrating the COI model, we discuss how online learning in the classroom with a hybrid approach has been used to facilitate…

Developing Students' Listening Metacognitive Strategies Using Online Videotext Self-Dictation-Generation Learning Activity

ERIC Educational Resources Information Center

Chang, Ching; Chang, Chih-Kai

2014-01-01

The study is based on the use of a flexible learning framework to help students improve information processes underlying strategy instruction in EFL listening. By exploiting the online videotext self-dictation-generation (video-SDG) learning activity implemented on the YouTube caption manager platform, the learning cycle was emphasized to promote…

The Robust Learning Model (RLM): A Comprehensive Approach to a New Online University

ERIC Educational Resources Information Center

Neumann, Yoram; Neumann, Edith F.

2010-01-01

This paper outlines the components of the Robust Learning Model (RLM) as a conceptual framework for creating a new online university offering numerous degree programs at all degree levels. The RLM is a multi-factorial model based on the basic belief that successful learning outcomes depend on multiple factors employed together in a holistic…

"From the Intuitive to the Intentional": Designing a Constructivist Online Course

ERIC Educational Resources Information Center

Backenroth, Ofra Arieli; Katz, Meredith Lynn

2017-01-01

Online programs are becoming more ubiquitous in higher education; however, there has been a lack of research on the merit of this style of educating. Using the concept of constructivism as a framework, the idea that individuals construct their own understanding of world experiences, the authors generated a case study to explore the efficacy of…

An Analysis of Cultural Diversity and Recurring Themes in Preservice Teachers' Online Discussions of Epstein's Six Types of Parent Involvement

ERIC Educational Resources Information Center

Nathans, Laura; Revelle, Carol

2013-01-01

This study used a qualitative, grounded theoretical framework to examine integration of Joyce Epstein's six typologies of family involvement in responses to discussion questions for an online parent involvement course. Fifty-two undergraduate students' responses were axially coded. Overarching themes were then determined with the constant…

The Convergence of Content, Pedagogy, and Technology in Online Professional Development for Teachers of German: An Intrinsic Case Study

ERIC Educational Resources Information Center

Bustamante, Carolina; Moeller, Aleidine J.

2013-01-01

This qualitative case study describes a unique online professional development program utilizing Web 2.0 technologies for teachers of German using the Technological Pedagogical Content Knowledge (TPACK) model as a theoretical framework to promote technology literacy, expand German language proficiency and cultural knowledge, and integrate…

The Impact of Frequency on Achievement in Online Courses: A Study from a South Texas University

ERIC Educational Resources Information Center

Kupczynski, Lori; Gibson, Angela M.; Ice, Phil; Richardson, Jennifer; Challoo, Linda

2011-01-01

For over a decade, the learning management system (LMS) has been the primary method of delivering online learning. However, research related instructional design and pedagogical practices within this environment is still in its infancy as compared to face-to-face learning. While several frameworks for understanding pedagogical strategies and…

A Framework for Synchronous Web-Based Professional Development: Measuring the Impact of Webinar Instruction

ERIC Educational Resources Information Center

Rich, Rachel L.

2011-01-01

Through the evolution and proliferation of the Internet, distance and online education have become more prevalent in modern society. Synchronous web-based professional development continues to gain popularity. Although online education has grown in popularity and breadth, there has been a lack of research about the impact of synchronous web-based…

Using Voicethread to Create Community in Online Learning

ERIC Educational Resources Information Center

Delmas, Peggy M.

2017-01-01

A sense of belonging to a learning community has been identified as one of the factors contributing to greater student satisfaction and persistence in online education programs. Using the community of inquiry framework as a theoretical guide, the purpose of this study was to explore the role of VoiceThread, a web-based platform that facilitates…