Sample records for warehouse management systems

  1. A study on building data warehouse of hospital information system.

    PubMed

    Li, Ping; Wu, Tao; Chen, Mu; Zhou, Bin; Xu, Wei-guo

    2011-08-01

    Existing hospital information systems with simple statistical functions cannot meet current management needs. It is well known that hospital resources are distributed with private property rights among hospitals, such as in the case of the regional coordination of medical services. In this study, to integrate and make full use of medical data effectively, we propose a data warehouse modeling method for the hospital information system. The method can also be employed for a distributed-hospital medical service system. To ensure that hospital information supports the diverse needs of health care, the framework of the hospital information system has three layers: datacenter layer, system-function layer, and user-interface layer. This paper discusses the role of a data warehouse management system in handling hospital information from the establishment of the data theme to the design of a data model to the establishment of a data warehouse. Online analytical processing tools assist user-friendly multidimensional analysis from a number of different angles to extract the required data and information. Use of the data warehouse improves online analytical processing and mitigates deficiencies in the decision support system. The hospital information system based on a data warehouse effectively employs statistical analysis and data mining technology to handle massive quantities of historical data, and summarizes from clinical and hospital information for decision making. This paper proposes the use of a data warehouse for a hospital information system, specifically a data warehouse for the theme of hospital information to determine latitude, modeling and so on. The processing of patient information is given as an example that demonstrates the usefulness of this method in the case of hospital information management. Data warehouse technology is an evolving technology, and more and more decision support information extracted by data mining and with decision-making technology is

  2. Warehouse multipoint temperature and humidity monitoring system design based on Kingview

    NASA Astrophysics Data System (ADS)

    Ou, Yanghui; Wang, Xifu; Liu, Jingyun

    2017-04-01

    Storage is the key link of modern logistics. Warehouse environment monitoring is an important part of storage safety management. To meet the storage requirements of different materials, guarantee their quality in the greatest extent, which has great significance. In the warehouse environment monitoring, the most important parameters are air temperature and relative humidity. In this paper, a design of warehouse multipoint temperature and humidity monitoring system based on King view, which realizes the multipoint temperature and humidity data real-time acquisition, monitoring and storage in warehouse by using temperature and humidity sensor. Also, this paper will take the bulk grain warehouse as an example and based on the data collected in real-time monitoring, giving the corresponding expert advice that combined with the corresponding algorithm, providing theoretical guidance to control the temperature and humidity in grain warehouse.

  3. BioWarehouse: a bioinformatics database warehouse toolkit.

    PubMed

    Lee, Thomas J; Pouliot, Yannick; Wagner, Valerie; Gupta, Priyanka; Stringer-Calvert, David W J; Tenenbaum, Jessica D; Karp, Peter D

    2006-03-23

    This article addresses the problem of interoperation of heterogeneous bioinformatics databases. We introduce BioWarehouse, an open source toolkit for constructing bioinformatics database warehouses using the MySQL and Oracle relational database managers. BioWarehouse integrates its component databases into a common representational framework within a single database management system, thus enabling multi-database queries using the Structured Query Language (SQL) but also facilitating a variety of database integration tasks such as comparative analysis and data mining. BioWarehouse currently supports the integration of a pathway-centric set of databases including ENZYME, KEGG, and BioCyc, and in addition the UniProt, GenBank, NCBI Taxonomy, and CMR databases, and the Gene Ontology. Loader tools, written in the C and JAVA languages, parse and load these databases into a relational database schema. The loaders also apply a degree of semantic normalization to their respective source data, decreasing semantic heterogeneity. The schema supports the following bioinformatics datatypes: chemical compounds, biochemical reactions, metabolic pathways, proteins, genes, nucleic acid sequences, features on protein and nucleic-acid sequences, organisms, organism taxonomies, and controlled vocabularies. As an application example, we applied BioWarehouse to determine the fraction of biochemically characterized enzyme activities for which no sequences exist in the public sequence databases. The answer is that no sequence exists for 36% of enzyme activities for which EC numbers have been assigned. These gaps in sequence data significantly limit the accuracy of genome annotation and metabolic pathway prediction, and are a barrier for metabolic engineering. Complex queries of this type provide examples of the value of the data warehousing approach to bioinformatics research. BioWarehouse embodies significant progress on the database integration problem for bioinformatics.

  4. BioWarehouse: a bioinformatics database warehouse toolkit

    PubMed Central

    Lee, Thomas J; Pouliot, Yannick; Wagner, Valerie; Gupta, Priyanka; Stringer-Calvert, David WJ; Tenenbaum, Jessica D; Karp, Peter D

    2006-01-01

    Background This article addresses the problem of interoperation of heterogeneous bioinformatics databases. Results We introduce BioWarehouse, an open source toolkit for constructing bioinformatics database warehouses using the MySQL and Oracle relational database managers. BioWarehouse integrates its component databases into a common representational framework within a single database management system, thus enabling multi-database queries using the Structured Query Language (SQL) but also facilitating a variety of database integration tasks such as comparative analysis and data mining. BioWarehouse currently supports the integration of a pathway-centric set of databases including ENZYME, KEGG, and BioCyc, and in addition the UniProt, GenBank, NCBI Taxonomy, and CMR databases, and the Gene Ontology. Loader tools, written in the C and JAVA languages, parse and load these databases into a relational database schema. The loaders also apply a degree of semantic normalization to their respective source data, decreasing semantic heterogeneity. The schema supports the following bioinformatics datatypes: chemical compounds, biochemical reactions, metabolic pathways, proteins, genes, nucleic acid sequences, features on protein and nucleic-acid sequences, organisms, organism taxonomies, and controlled vocabularies. As an application example, we applied BioWarehouse to determine the fraction of biochemically characterized enzyme activities for which no sequences exist in the public sequence databases. The answer is that no sequence exists for 36% of enzyme activities for which EC numbers have been assigned. These gaps in sequence data significantly limit the accuracy of genome annotation and metabolic pathway prediction, and are a barrier for metabolic engineering. Complex queries of this type provide examples of the value of the data warehousing approach to bioinformatics research. Conclusion BioWarehouse embodies significant progress on the database integration problem for

  5. Medical Big Data Warehouse: Architecture and System Design, a Case Study: Improving Healthcare Resources Distribution.

    PubMed

    Sebaa, Abderrazak; Chikh, Fatima; Nouicer, Amina; Tari, AbdelKamel

    2018-02-19

    The huge increases in medical devices and clinical applications which generate enormous data have raised a big issue in managing, processing, and mining this massive amount of data. Indeed, traditional data warehousing frameworks can not be effective when managing the volume, variety, and velocity of current medical applications. As a result, several data warehouses face many issues over medical data and many challenges need to be addressed. New solutions have emerged and Hadoop is one of the best examples, it can be used to process these streams of medical data. However, without an efficient system design and architecture, these performances will not be significant and valuable for medical managers. In this paper, we provide a short review of the literature about research issues of traditional data warehouses and we present some important Hadoop-based data warehouses. In addition, a Hadoop-based architecture and a conceptual data model for designing medical Big Data warehouse are given. In our case study, we provide implementation detail of big data warehouse based on the proposed architecture and data model in the Apache Hadoop platform to ensure an optimal allocation of health resources.

  6. Warehouses information system design and development

    NASA Astrophysics Data System (ADS)

    Darajatun, R. A.; Sukanta

    2017-12-01

    Materials/goods handling industry is fundamental for companies to ensure the smooth running of their warehouses. Efficiency and organization within every aspect of the business is essential in order to gain a competitive advantage. The purpose of this research is design and development of Kanban of inventory storage and delivery system. Application aims to facilitate inventory stock checks to be more efficient and effective. Users easily input finished goods from production department, warehouse, customer, and also suppliers. Master data designed as complete as possible to be prepared applications used in a variety of process logistic warehouse variations. The author uses Java programming language to develop the application, which is used for building Java Web applications, while the database used is MySQL. System development methodology that I use is the Waterfall methodology. Waterfall methodology has several stages of the Analysis, System Design, Implementation, Integration, Operation and Maintenance. In the process of collecting data the author uses the method of observation, interviews, and literature.

  7. Decision method for optimal selection of warehouse material handling strategies by production companies

    NASA Astrophysics Data System (ADS)

    Dobos, P.; Tamás, P.; Illés, B.

    2016-11-01

    Adequate establishment and operation of warehouse logistics determines the companies’ competitiveness significantly because it effects greatly the quality and the selling price of the goods that the production companies produce. In order to implement and manage an adequate warehouse system, adequate warehouse position, stock management model, warehouse technology, motivated work force committed to process improvement and material handling strategy are necessary. In practical life, companies have paid small attantion to select the warehouse strategy properly. Although it has a major influence on the production in the case of material warehouse and on smooth costumer service in the case of finished goods warehouse because this can happen with a huge loss in material handling. Due to the dynamically changing production structure, frequent reorganization of warehouse activities is needed, on what the majority of the companies react basically with no reactions. This work presents a simulation test system frames for eligible warehouse material handling strategy selection and also the decision method for selection.

  8. Clinical Data Warehouse: An Effective Tool to Create Intelligence in Disease Management.

    PubMed

    Karami, Mahtab; Rahimi, Azin; Shahmirzadi, Ali Hosseini

    Clinical business intelligence tools such as clinical data warehouse enable health care organizations to objectively assess the disease management programs that affect the quality of patients' life and well-being in public. The purpose of these programs is to reduce disease occurrence, improve patient care, and decrease health care costs. Therefore, applying clinical data warehouse can be effective in generating useful information about aspects of patient care to facilitate budgeting, planning, research, process improvement, external reporting, benchmarking, and trend analysis, as well as to enable the decisions needed to prevent the progression or appearance of the illness aligning with maintaining the health of the population. The aim of this review article is to describe the benefits of clinical data warehouse applications in creating intelligence for disease management programs.

  9. Development of a data warehouse at an academic health system: knowing a place for the first time.

    PubMed

    Dewitt, Jocelyn G; Hampton, Philip M

    2005-11-01

    In 1998, the University of Michigan Health System embarked upon the design, development, and implementation of an enterprise-wide data warehouse, intending to use prioritized business questions to drive its design and implementation. Because of the decentralized nature of the academic health system and the development team's inability to identify and prioritize those institutional business questions, however, a bottom-up approach was used to develop the enterprise-wide data warehouse. Specific important data sets were identified for inclusion, and the technical team designed the system with an enterprise view and architecture rather than as a series of data marts. Using this incremental approach of adding data sets, institutional leaders were able to experience and then further define successful use of the integrated data made available to them. Even as requests for the use and expansion of the data warehouse outstrip the resources assigned for support, the data warehouse has become an integral component of the institution's information management strategy. The authors discuss the approach, process, current status, and successes and failures of the data warehouse.

  10. Protecting privacy in a clinical data warehouse.

    PubMed

    Kong, Guilan; Xiao, Zhichun

    2015-06-01

    Peking University has several prestigious teaching hospitals in China. To make secondary use of massive medical data for research purposes, construction of a clinical data warehouse is imperative in Peking University. However, a big concern for clinical data warehouse construction is how to protect patient privacy. In this project, we propose to use a combination of symmetric block ciphers, asymmetric ciphers, and cryptographic hashing algorithms to protect patient privacy information. The novelty of our privacy protection approach lies in message-level data encryption, the key caching system, and the cryptographic key management system. The proposed privacy protection approach is scalable to clinical data warehouse construction with any size of medical data. With the composite privacy protection approach, the clinical data warehouse can be secure enough to keep the confidential data from leaking to the outside world. © The Author(s) 2014.

  11. Promotion bureau warehouse system design. Case study in University of AA

    NASA Astrophysics Data System (ADS)

    Parwati, N.; Qibtiyah, M.

    2017-12-01

    The warehouse becomes one of the important parts in an industry. By having a good warehousing system, an industry can improve the effectiveness of its performance, so that profits for the company can continue to increase. Meanwhile, if it has a poorly organized warehouse system, it is feared there will be a decrease in the level of effectiveness of the industry itself. In this research, the object was warehousing system in promotion bureau of University AA. To improve the effectiveness of warehousing system, warehouse layout design is done by specifying categories of goods based on the flow of goods in and out of warehouse with ABC analysis method. In addition, the design of information systems to assist in controlling the system to support all the demand for every burreau and department in the university.

  12. Microsoft Enterprise Consortium: A Resource for Teaching Data Warehouse, Business Intelligence and Database Management Systems

    ERIC Educational Resources Information Center

    Kreie, Jennifer; Hashemi, Shohreh

    2012-01-01

    Data is a vital resource for businesses; therefore, it is important for businesses to manage and use their data effectively. Because of this, businesses value college graduates with an understanding of and hands-on experience working with databases, data warehouses and data analysis theories and tools. Faculty in many business disciplines try to…

  13. Design and applications of a multimodality image data warehouse framework.

    PubMed

    Wong, Stephen T C; Hoo, Kent Soo; Knowlton, Robert C; Laxer, Kenneth D; Cao, Xinhau; Hawkins, Randall A; Dillon, William P; Arenson, Ronald L

    2002-01-01

    A comprehensive data warehouse framework is needed, which encompasses imaging and non-imaging information in supporting disease management and research. The authors propose such a framework, describe general design principles and system architecture, and illustrate a multimodality neuroimaging data warehouse system implemented for clinical epilepsy research. The data warehouse system is built on top of a picture archiving and communication system (PACS) environment and applies an iterative object-oriented analysis and design (OOAD) approach and recognized data interface and design standards. The implementation is based on a Java CORBA (Common Object Request Broker Architecture) and Web-based architecture that separates the graphical user interface presentation, data warehouse business services, data staging area, and backend source systems into distinct software layers. To illustrate the practicality of the data warehouse system, the authors describe two distinct biomedical applications--namely, clinical diagnostic workup of multimodality neuroimaging cases and research data analysis and decision threshold on seizure foci lateralization. The image data warehouse framework can be modified and generalized for new application domains.

  14. Design and Applications of a Multimodality Image Data Warehouse Framework

    PubMed Central

    Wong, Stephen T.C.; Hoo, Kent Soo; Knowlton, Robert C.; Laxer, Kenneth D.; Cao, Xinhau; Hawkins, Randall A.; Dillon, William P.; Arenson, Ronald L.

    2002-01-01

    A comprehensive data warehouse framework is needed, which encompasses imaging and non-imaging information in supporting disease management and research. The authors propose such a framework, describe general design principles and system architecture, and illustrate a multimodality neuroimaging data warehouse system implemented for clinical epilepsy research. The data warehouse system is built on top of a picture archiving and communication system (PACS) environment and applies an iterative object-oriented analysis and design (OOAD) approach and recognized data interface and design standards. The implementation is based on a Java CORBA (Common Object Request Broker Architecture) and Web-based architecture that separates the graphical user interface presentation, data warehouse business services, data staging area, and backend source systems into distinct software layers. To illustrate the practicality of the data warehouse system, the authors describe two distinct biomedical applications—namely, clinical diagnostic workup of multimodality neuroimaging cases and research data analysis and decision threshold on seizure foci lateralization. The image data warehouse framework can be modified and generalized for new application domains. PMID:11971885

  15. XWeB: The XML Warehouse Benchmark

    NASA Astrophysics Data System (ADS)

    Mahboubi, Hadj; Darmont, Jérôme

    With the emergence of XML as a standard for representing business data, new decision support applications are being developed. These XML data warehouses aim at supporting On-Line Analytical Processing (OLAP) operations that manipulate irregular XML data. To ensure feasibility of these new tools, important performance issues must be addressed. Performance is customarily assessed with the help of benchmarks. However, decision support benchmarks do not currently support XML features. In this paper, we introduce the XML Warehouse Benchmark (XWeB), which aims at filling this gap. XWeB derives from the relational decision support benchmark TPC-H. It is mainly composed of a test data warehouse that is based on a unified reference model for XML warehouses and that features XML-specific structures, and its associate XQuery decision support workload. XWeB's usage is illustrated by experiments on several XML database management systems.

  16. Data warehouse implementation with clinical pharmacokinetic/pharmacodynamic data.

    PubMed

    Koprowski, S P; Barrett, J S

    2002-03-01

    We have created a data warehouse for human pharmacokinetic (PK) and pharmacodynamic (PD) data generated primarily within the Clinical PK Group of the Drug Metabolism and Pharmacokinetics (DM&PK) Department of DuPont Pharmaceuticals. Data which enters an Oracle-based LIMS directly from chromatography systems or through files from contract research organizations are accessed via SAS/PH.Kinetics, GLP-compliant data analysis software residing on individual users' workstations. Upon completion of the final PK or PD analysis, data are pushed to a predefined location. Data analyzed/created with other software (i.e., WinNonlin, NONMEM, Adapt, etc.) are added to this file repository as well. The warehouse creates views to these data and accumulates metadata on all data sources defined in the warehouse. The warehouse is managed via the SAS/Warehouse Administrator product that defines the environment, creates summarized data structures, and schedules data refresh. The clinical PK/PD warehouse encompasses laboratory, biometric, PK and PD data streams. Detailed logical tables for each compound are created/updated as the clinical PK/PD data warehouse is populated. The data model defined to the warehouse is based on a star schema. Summarized data structures such as multidimensional data bases (MDDB), infomarts, and datamarts are created from detail tables. Data mining and querying of highly summarized data as well as drill-down to detail data is possible via the creation of exploitation tools which front-end the warehouse data. Based on periodic refreshing of the warehouse data, these applications are able to access the most current data available and do not require a manual interface to update/populate the data store. Prototype applications have been web-enabled to facilitate their usage to varied data customers across platform and location. The warehouse also contains automated mechanisms for the construction of study data listings and SAS transport files for eventual

  17. WATCHMAN: A Data Warehouse Intelligent Cache Manager

    NASA Technical Reports Server (NTRS)

    Scheuermann, Peter; Shim, Junho; Vingralek, Radek

    1996-01-01

    Data warehouses store large volumes of data which are used frequently by decision support applications. Such applications involve complex queries. Query performance in such an environment is critical because decision support applications often require interactive query response time. Because data warehouses are updated infrequently, it becomes possible to improve query performance by caching sets retrieved by queries in addition to query execution plans. In this paper we report on the design of an intelligent cache manager for sets retrieved by queries called WATCHMAN, which is particularly well suited for data warehousing environment. Our cache manager employs two novel, complementary algorithms for cache replacement and for cache admission. WATCHMAN aims at minimizing query response time and its cache replacement policy swaps out entire retrieved sets of queries instead of individual pages. The cache replacement and admission algorithms make use of a profit metric, which considers for each retrieved set its average rate of reference, its size, and execution cost of the associated query. We report on a performance evaluation based on the TPC-D and Set Query benchmarks. These experiments show that WATCHMAN achieves a substantial performance improvement in a decision support environment when compared to a traditional LRU replacement algorithm.

  18. Managing dual warehouses with an incentive policy for deteriorating items

    NASA Astrophysics Data System (ADS)

    Yu, Jonas C. P.; Wang, Kung-Jeng; Lin, Yu-Siang

    2016-02-01

    Distributors in a supply chain usually limit their own warehouse in finite capacity for cost reduction and excess stock is held in a rent warehouse. In this study, we examine inventory control for deteriorating items in a two-warehouse setting. Assuming that there is an incentive offered by a rent warehouse that allows the rental fee to decrease over time, the objective of this study is to maximise the joint profit of the manufacturer and the distributor. An optimisation procedure is developed to derive the optimal joint economic lot size policy. Several criteria are identified to select the most appropriate warehouse configuration and inventory policy on the basis of storage duration of materials in a rent warehouse. Sensitivity analysis is done to examine the results of model robustness. The proposed model enables a manufacturer with a channel distributor to coordinate the use of alternative warehouses, and to maximise the joint profit of the manufacturer and the distributor.

  19. System and method for integrating and accessing multiple data sources within a data warehouse architecture

    DOEpatents

    Musick, Charles R [Castro Valley, CA; Critchlow, Terence [Livermore, CA; Ganesh, Madhaven [San Jose, CA; Slezak, Tom [Livermore, CA; Fidelis, Krzysztof [Brentwood, CA

    2006-12-19

    A system and method is disclosed for integrating and accessing multiple data sources within a data warehouse architecture. The metadata formed by the present method provide a way to declaratively present domain specific knowledge, obtained by analyzing data sources, in a consistent and useable way. Four types of information are represented by the metadata: abstract concepts, databases, transformations and mappings. A mediator generator automatically generates data management computer code based on the metadata. The resulting code defines a translation library and a mediator class. The translation library provides a data representation for domain specific knowledge represented in a data warehouse, including "get" and "set" methods for attributes that call transformation methods and derive a value of an attribute if it is missing. The mediator class defines methods that take "distinguished" high-level objects as input and traverse their data structures and enter information into the data warehouse.

  20. Storage Information Management System (SIMS) Spaceflight Hardware Warehousing at Goddard Space Flight Center

    NASA Technical Reports Server (NTRS)

    Kubicko, Richard M.; Bingham, Lindy

    1995-01-01

    Goddard Space Flight Center (GSFC) on site and leased warehouses contain thousands of items of ground support equipment (GSE) and flight hardware including spacecraft, scaffolding, computer racks, stands, holding fixtures, test equipment, spares, etc. The control of these warehouses, and the management, accountability, and control of the items within them, is accomplished by the Logistics Management Division. To facilitate this management and tracking effort, the Logistics and Transportation Management Branch, is developing a system to provide warehouse personnel, property owners, and managers with storage and inventory information. This paper will describe that PC-based system and address how it will improve GSFC warehouse and storage management.

  1. Managing data quality in an existing medical data warehouse using business intelligence technologies.

    PubMed

    Eaton, Scott; Ostrander, Michael; Santangelo, Jennifer; Kamal, Jyoti

    2008-11-06

    The Ohio State University Medical Center (OSUMC) Information Warehouse (IW) is a comprehensive data warehousing facility that provides providing data integration, management, mining, training, and development services to a diversity of customers across the clinical, education, and research sectors of the OSUMC. Providing accurate and complete data is a must for these purposes. In order to monitor the data quality of targeted data sets, an online scorecard has been developed to allow visualization of the critical measures of data quality in the Information Warehouse.

  2. School District Evaluation: Database Warehouse Support.

    ERIC Educational Resources Information Center

    Adcock, Eugene P.; Haseltine, Reginald

    The Prince George's County (Maryland) school system has developed a database warehouse system as an evaluation data support tool for fulfilling the system's information demands. This paper described the Research and Evaluation Assimilation Database (READ) warehouse support system and considers the requirements for data used in evaluation and how…

  3. Importance of relationship quality in the success of data warehouse systems

    NASA Astrophysics Data System (ADS)

    Almabhouh, Alaaeddin; Saleh, Abdul; Ahmad, Azizah

    2011-10-01

    Increased organizational dependence on data warehouse (DW) systems drives management attention towards improving DW systems success. However, the successful implementation rate of DW systems is low and many firms did not achieve intended goals. A recent studies show that improves and evaluates DW success is one of the top concerns facing IT/DW executives. Existing information system (IS) research has studied DW success more from information quality and system quality. Researchers argue in this study that we should also take the relationship quality, which has significant research and practical implications in that it connects to IS success directly. As our first attempt, this study, referring to both IS and marketing literature, examines how communication, coordination, cooperation, commitment, and trust can be achieved to some degrees by high quality relationships between DW parties.

  4. Development of a public health reporting data warehouse: lessons learned.

    PubMed

    Rizi, Seyed Ali Mussavi; Roudsari, Abdul

    2013-01-01

    Data warehouse projects are perceived to be risky and prone to failure due to many organizational and technical challenges. However, often iterative and lengthy processes of implementation of data warehouses at an enterprise level provide an opportunity for formative evaluation of these solutions. This paper describes lessons learned from successful development and implementation of the first phase of an enterprise data warehouse to support public health surveillance at British Columbia Centre for Disease Control. Iterative and prototyping approach to development, overcoming technical challenges of extraction and integration of data from large scale clinical and ancillary systems, a novel approach to record linkage, flexible and reusable modeling of clinical data, and securing senior management support at the right time were the main factors that contributed to the success of the data warehousing project.

  5. Opportunities for Energy Efficiency and Automated Demand Response in Industrial Refrigerated Warehouses in California

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

    Lekov, Alex; Thompson, Lisa; McKane, Aimee

    2009-05-11

    This report summarizes the Lawrence Berkeley National Laboratory's research to date in characterizing energy efficiency and open automated demand response opportunities for industrial refrigerated warehouses in California. The report describes refrigerated warehouses characteristics, energy use and demand, and control systems. It also discusses energy efficiency and open automated demand response opportunities and provides analysis results from three demand response studies. In addition, several energy efficiency, load management, and demand response case studies are provided for refrigerated warehouses. This study shows that refrigerated warehouses can be excellent candidates for open automated demand response and that facilities which have implemented energy efficiencymore » measures and have centralized control systems are well-suited to shift or shed electrical loads in response to financial incentives, utility bill savings, and/or opportunities to enhance reliability of service. Control technologies installed for energy efficiency and load management purposes can often be adapted for open automated demand response (OpenADR) at little additional cost. These improved controls may prepare facilities to be more receptive to OpenADR due to both increased confidence in the opportunities for controlling energy cost/use and access to the real-time data.« less

  6. Real Time Business Analytics for Buying or Selling Transaction on Commodity Warehouse Receipt System

    NASA Astrophysics Data System (ADS)

    Djatna, Taufik; Teniwut, Wellem A.; Hairiyah, Nina; Marimin

    2017-10-01

    The requirement for smooth information such as buying and selling is essential for commodity warehouse receipt system such as dried seaweed and their stakeholders to transact for an operational transaction. Transactions of buying or selling a commodity warehouse receipt system are a risky process due to the fluctuations in dynamic commodity prices. An integrated system to determine the condition of the real time was needed to make a decision-making transaction by the owner or prospective buyer. The primary motivation of this study is to propose computational methods to trace market tendency for either buying or selling processes. The empirical results reveal that feature selection gain ratio and k-NN outperforms other forecasting models, implying that the proposed approach is a promising alternative to the stock market tendency of warehouse receipt document exploration with accurate level rate is 95.03%.

  7. An efficiency improvement in warehouse operation using simulation analysis

    NASA Astrophysics Data System (ADS)

    Samattapapong, N.

    2017-11-01

    In general, industry requires an efficient system for warehouse operation. There are many important factors that must be considered when designing an efficient warehouse system. The most important is an effective warehouse operation system that can help transfer raw material, reduce costs and support transportation. By all these factors, researchers are interested in studying about work systems and warehouse distribution. We start by collecting the important data for storage, such as the information on products, information on size and location, information on data collection and information on production, and all this information to build simulation model in Flexsim® simulation software. The result for simulation analysis found that the conveyor belt was a bottleneck in the warehouse operation. Therefore, many scenarios to improve that problem were generated and testing through simulation analysis process. The result showed that an average queuing time was reduced from 89.8% to 48.7% and the ability in transporting the product increased from 10.2% to 50.9%. Thus, it can be stated that this is the best method for increasing efficiency in the warehouse operation.

  8. Shelf life modelling for first-expired-first-out warehouse management

    PubMed Central

    Hertog, Maarten L. A. T. M.; Uysal, Ismail; McCarthy, Ultan; Verlinden, Bert M.; Nicolaï, Bart M.

    2014-01-01

    In the supply chain of perishable food products, large losses are incurred between farm and fork. Given the limited land resources and an ever-growing population, the food supply chain is faced with the challenge of increasing its handling efficiency and minimizing post-harvest food losses. Huge value can be added by optimizing warehouse management systems, taking into account the estimated remaining shelf life of the product, and matching it to the requirements of the subsequent part of the handling chain. This contribution focuses on how model approaches estimating quality changes and remaining shelf life can be combined in optimizing first-expired-first-out cold chain management strategies for perishable products. To this end, shelf-life-related performance indicators are used to introduce remaining shelf life and product quality in the cost function when optimizing the supply chain. A combinatorial exhaustive-search algorithm is shown to be feasible as the complexity of the optimization problem is sufficiently low for the size and properties of a typical commercial cold chain. The estimated shelf life distances for a particular batch can thus be taken as a guide to optimize logistics. PMID:24797134

  9. Warehouse Sanitation Workshop Handbook.

    ERIC Educational Resources Information Center

    Food and Drug Administration (DHHS/PHS), Washington, DC.

    This workshop handbook contains information and reference materials on proper food warehouse sanitation. The materials have been used at Food and Drug Administration (FDA) food warehouse sanitation workshops, and are selected by the FDA for use by food warehouse operators and for training warehouse sanitation employees. The handbook is divided…

  10. Energy Finance Data Warehouse Manual

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

    Lee, Sangkeun; Chinthavali, Supriya; Shankar, Mallikarjun

    The Office of Energy Policy and Systems Analysis s finance team (EPSA-50) requires a suite of automated applications that can extract specific data from a flexible data warehouse (where datasets characterizing energy-related finance, economics and markets are maintained and integrated), perform relevant operations and creatively visualize them to provide a better understanding of what policy options affect various operators/sectors of the electricity system. In addition, the underlying data warehouse should be structured in the most effective and efficient way so that it can become increasingly valuable over time. This report describes the Energy Finance Data Warehouse (EFDW) framework that hasmore » been developed to accomplish the defined requirement above. We also specifically dive into the Sankey generator use-case scenario to explain the components of the EFDW framework and their roles. An excel-based data warehouse was used in the creation of the energy finance Sankey diagram and other detailed data finance visualizations to support energy policy analysis. The framework also captures the methodology, calculations and estimations analysts used for the calculation as well as relevant sources so newer analysts can build on work done previously.« less

  11. Garment counting in a textile warehouse by means of a laser imaging system.

    PubMed

    Martínez-Sala, Alejandro Santos; Sánchez-Aartnoutse, Juan Carlos; Egea-López, Esteban

    2013-04-29

    Textile logistic warehouses are highly automated mechanized places where control points are needed to count and validate the number of garments in each batch. This paper proposes and describes a low cost and small size automated system designed to count the number of garments by processing an image of the corresponding hanger hooks generated using an array of phototransistors sensors and a linear laser beam. The generated image is processed using computer vision techniques to infer the number of garment units. The system has been tested on two logistic warehouses with a mean error in the estimated number of hangers of 0.13%.

  12. Bio-image warehouse system: concept and implementation of a diagnosis-based data warehouse for advanced imaging modalities in neuroradiology.

    PubMed

    Minati, L; Ghielmetti, F; Ciobanu, V; D'Incerti, L; Maccagnano, C; Bizzi, A; Bruzzone, M G

    2007-03-01

    Advanced neuroimaging techniques, such as functional magnetic resonance imaging (fMRI), chemical shift spectroscopy imaging (CSI), diffusion tensor imaging (DTI), and perfusion-weighted imaging (PWI) create novel challenges in terms of data storage and management: huge amounts of raw data are generated, the results of analysis may depend on the software and settings that have been used, and most often intermediate files are inherently not compliant with the current DICOM (digital imaging and communication in medicine) standard, as they contain multidimensional complex and tensor arrays and various other types of data structures. A software architecture, referred to as Bio-Image Warehouse System (BIWS), which can be used alongside a radiology information system/picture archiving and communication system (RIS/PACS) system to store neuroimaging data for research purposes, is presented. The system architecture is conceived with the purpose of enabling to query by diagnosis according to a predefined two-layered classification taxonomy. The operational impact of the system and the time needed to get acquainted with the web-based interface and with the taxonomy are found to be limited. The development of modules enabling automated creation of statistical templates is proposed.

  13. A Lessons Learned Knowledge Warehouse to Support the Army Knowledge Management Command-Centric

    DTIC Science & Technology

    2004-03-01

    Warehouse to Support the Army Knowledge Management Command-Centric increase the quality and availability of information in context ( knowledge ) to the... information , geographical information , knowledge base, Intelligence data (HUMINT, SIGINT, etc.); and • • Human Computer Interaction (HCI): allows...the Data Fusion Process from the HCI point of view? Can the LL Knowledge Base provide any valuable information to achieve better estimates of the

  14. Developing Access Control Model of Web OLAP over Trusted and Collaborative Data Warehouses

    NASA Astrophysics Data System (ADS)

    Fugkeaw, Somchart; Mitrpanont, Jarernsri L.; Manpanpanich, Piyawit; Juntapremjitt, Sekpon

    This paper proposes the design and development of Role- based Access Control (RBAC) model for the Single Sign-On (SSO) Web-OLAP query spanning over multiple data warehouses (DWs). The model is based on PKI Authentication and Privilege Management Infrastructure (PMI); it presents a binding model of RBAC authorization based on dimension privilege specified in attribute certificate (AC) and user identification. Particularly, the way of attribute mapping between DW user authentication and privilege of dimensional access is illustrated. In our approach, we apply the multi-agent system to automate flexible and effective management of user authentication, role delegation as well as system accountability. Finally, the paper culminates in the prototype system A-COLD (Access Control of web-OLAP over multiple DWs) that incorporates the OLAP features and authentication and authorization enforcement in the multi-user and multi-data warehouse environment.

  15. Innovative IT system for material management in warehouses

    NASA Astrophysics Data System (ADS)

    Papoutsidakis, Michael; Sigala, Maria; Simeonaki, Eleni; Tseles, Dimitrios

    2017-09-01

    Nowadays through the rapid development of technology in all areas there is a constant effort to introduce technological solutions in everyday life with emphasis on materials management information systems (Enterprise Resource Planning). During the last few years the variety of these systems has been increased for small business or for SMEs as well as for larger companies and industries. In the field of material management and main management operations with automated processes, ERP applications have only recently begun to make their appearance. In this paper will be presented the development of a system for automated material storage process in a system built through specific roles that will manage materials using an integrated barcode scanner. In addition we will analyse and describe the operation and modules of other systems that have been created for the same usage. The aim of this project is to create a prototype application that will be innovative with a flexible nature that will give solutions, with low cost and it will be user friendly. This application will allow quick and proper materials management for storage. The expected result is that the application can be used by smart devices in android environment and computers without an external barcode scanner, making the application accessible to the buyer at low cost.

  16. Garment Counting in a Textile Warehouse by Means of a Laser Imaging System

    PubMed Central

    Martínez-Sala, Alejandro Santos; Sánchez-Aartnoutse, Juan Carlos; Egea-López, Esteban

    2013-01-01

    Textile logistic warehouses are highly automated mechanized places where control points are needed to count and validate the number of garments in each batch. This paper proposes and describes a low cost and small size automated system designed to count the number of garments by processing an image of the corresponding hanger hooks generated using an array of phototransistors sensors and a linear laser beam. The generated image is processed using computer vision techniques to infer the number of garment units. The system has been tested on two logistic warehouses with a mean error in the estimated number of hangers of 0.13%. PMID:23628760

  17. A Multidimensional Data Warehouse for Community Health Centers

    PubMed Central

    Kunjan, Kislaya; Toscos, Tammy; Turkcan, Ayten; Doebbeling, Brad N.

    2015-01-01

    Community health centers (CHCs) play a pivotal role in healthcare delivery to vulnerable populations, but have not yet benefited from a data warehouse that can support improvements in clinical and financial outcomes across the practice. We have developed a multidimensional clinic data warehouse (CDW) by working with 7 CHCs across the state of Indiana and integrating their operational, financial and electronic patient records to support ongoing delivery of care. We describe in detail the rationale for the project, the data architecture employed, the content of the data warehouse, along with a description of the challenges experienced and strategies used in the development of this repository that may help other researchers, managers and leaders in health informatics. The resulting multidimensional data warehouse is highly practical and is designed to provide a foundation for wide-ranging healthcare data analytics over time and across the community health research enterprise. PMID:26958297

  18. A Multidimensional Data Warehouse for Community Health Centers.

    PubMed

    Kunjan, Kislaya; Toscos, Tammy; Turkcan, Ayten; Doebbeling, Brad N

    2015-01-01

    Community health centers (CHCs) play a pivotal role in healthcare delivery to vulnerable populations, but have not yet benefited from a data warehouse that can support improvements in clinical and financial outcomes across the practice. We have developed a multidimensional clinic data warehouse (CDW) by working with 7 CHCs across the state of Indiana and integrating their operational, financial and electronic patient records to support ongoing delivery of care. We describe in detail the rationale for the project, the data architecture employed, the content of the data warehouse, along with a description of the challenges experienced and strategies used in the development of this repository that may help other researchers, managers and leaders in health informatics. The resulting multidimensional data warehouse is highly practical and is designed to provide a foundation for wide-ranging healthcare data analytics over time and across the community health research enterprise.

  19. RMP Guidance for Warehouses - Chapter 5: Management System

    EPA Pesticide Factsheets

    Your management system should oversee the implementation of the risk management program elements, and designate and assign responsibility in order to make process safety a constant priority. Includes sample documentation.

  20. Refrigerated Warehouse Demand Response Strategy Guide

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

    Scott, Doug; Castillo, Rafael; Larson, Kyle

    This guide summarizes demand response measures that can be implemented in refrigerated warehouses. In an appendix, it also addresses related energy efficiency opportunities. Reducing overall grid demand during peak periods and energy consumption has benefits for facility operators, grid operators, utility companies, and society. State wide demand response potential for the refrigerated warehouse sector in California is estimated to be over 22.1 Megawatts. Two categories of demand response strategies are described in this guide: load shifting and load shedding. Load shifting can be accomplished via pre-cooling, capacity limiting, and battery charger load management. Load shedding can be achieved by lightingmore » reduction, demand defrost and defrost termination, infiltration reduction, and shutting down miscellaneous equipment. Estimation of the costs and benefits of demand response participation yields simple payback periods of 2-4 years. To improve demand response performance, it’s suggested to install air curtains and another form of infiltration barrier, such as a rollup door, for the passageways. Further modifications to increase efficiency of the refrigeration unit are also analyzed. A larger condenser can maintain the minimum saturated condensing temperature (SCT) for more hours of the day. Lowering the SCT reduces the compressor lift, which results in an overall increase in refrigeration system capacity and energy efficiency. Another way of saving energy in refrigerated warehouses is eliminating the use of under-floor resistance heaters. A more energy efficient alternative to resistance heaters is to utilize the heat that is being rejected from the condenser through a heat exchanger. These energy efficiency measures improve efficiency either by reducing the required electric energy input for the refrigeration system, by helping to curtail the refrigeration load on the system, or by reducing both the load and required energy input.« less

  1. Roadmap to a Comprehensive Clinical Data Warehouse for Precision Medicine Applications in Oncology

    PubMed Central

    Foran, David J; Chen, Wenjin; Chu, Huiqi; Sadimin, Evita; Loh, Doreen; Riedlinger, Gregory; Goodell, Lauri A; Ganesan, Shridar; Hirshfield, Kim; Rodriguez, Lorna; DiPaola, Robert S

    2017-01-01

    Leading institutions throughout the country have established Precision Medicine programs to support personalized treatment of patients. A cornerstone for these programs is the establishment of enterprise-wide Clinical Data Warehouses. Working shoulder-to-shoulder, a team of physicians, systems biologists, engineers, and scientists at Rutgers Cancer Institute of New Jersey have designed, developed, and implemented the Warehouse with information originating from data sources, including Electronic Medical Records, Clinical Trial Management Systems, Tumor Registries, Biospecimen Repositories, Radiology and Pathology archives, and Next Generation Sequencing services. Innovative solutions were implemented to detect and extract unstructured clinical information that was embedded in paper/text documents, including synoptic pathology reports. Supporting important precision medicine use cases, the growing Warehouse enables physicians to systematically mine and review the molecular, genomic, image-based, and correlated clinical information of patient tumors individually or as part of large cohorts to identify changes and patterns that may influence treatment decisions and potential outcomes. PMID:28469389

  2. ISYMOD: a knowledge warehouse for the identification, assembly and analysis of bacterial integrated systems.

    PubMed

    Chabalier, Julie; Capponi, Cécile; Quentin, Yves; Fichant, Gwennaele

    2005-04-01

    Complex biological functions emerge from interactions between proteins in stable supra-molecular assemblies and/or through transitory contacts. Most of the time protein partners of the assemblies are composed of one or several domains which exhibit different biochemical functions. Thus the study of cellular process requires the identification of different functional units and their integration in an interaction network; such complexes are referred to as integrated systems. In order to exploit with optimum efficiency the increased release of data, automated bioinformatics strategies are needed to identify, reconstruct and model such systems. For that purpose, we have developed a knowledge warehouse dedicated to the representation and acquisition of bacterial integrated systems involved in the exchange of the bacterial cell with its environment. ISYMOD is a knowledge warehouse that consistently integrates in the same environment the data and the methods used for their acquisition. This is achieved through the construction of (1) a domain knowledge base (DKB) devoted to the storage of the knowledge about the systems, their functional specificities, their partners and how they are related and (2) a methodological knowledge base (MKB) which depicts the task layout used to identify and reconstruct functional integrated systems. Instantiation of the DKB is obtained by solving the tasks of the MKB, whereas some tasks need instances of the DKB to be solved. AROM, an object-based knowledge representation system, has been used to design the DKB, and its task manager, AROMTasks, for developing the MKB. In this study two integrated systems, ABC transporters and two component systems, both involved in adaptation processes of a bacterial cell to its biotope, have been used to evaluate the feasibility of the approach.

  3. TA-60 Warehouse and Salvage SWPPP Rev 2 Jan 2017-Final

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

    Burgin, Jillian Elizabeth

    The Stormwater Pollution Prevention Team (PPT) for the TA-60-0002 Salvage and Warehouse Area consists of operations and management personnel from the facility, Multi-Sector General Permitting (MSGP) stormwater personnel from Environmental Compliance Programs (EPC-CP) organization, and Deployed Environmental Professionals. The EPC-CP representative is responsible for Laboratory compliance under the National Pollutant Discharge Elimination System (NPDES) permit regulations. The team members are selected on the basis of their familiarity with the activities at the facility and the potential impacts of those activities on stormwater runoff. The Warehouse and Salvage Yard are a single shift operation; therefore, a member of the PPT ismore » always present during operations.« less

  4. 7 CFR 735.303 - Electronic warehouse receipts.

    Code of Federal Regulations, 2010 CFR

    2010-01-01

    ... 7 Agriculture 7 2010-01-01 2010-01-01 false Electronic warehouse receipts. 735.303 Section 735.303... AGRICULTURE REGULATIONS FOR WAREHOUSES REGULATIONS FOR THE UNITED STATES WAREHOUSE ACT Warehouse Receipts § 735.303 Electronic warehouse receipts. (a) Warehouse operators issuing EWR under the Act may issue EWR...

  5. 7 CFR 735.303 - Electronic warehouse receipts.

    Code of Federal Regulations, 2011 CFR

    2011-01-01

    ... 7 Agriculture 7 2011-01-01 2011-01-01 false Electronic warehouse receipts. 735.303 Section 735.303... AGRICULTURE REGULATIONS FOR WAREHOUSES REGULATIONS FOR THE UNITED STATES WAREHOUSE ACT Warehouse Receipts § 735.303 Electronic warehouse receipts. (a) Warehouse operators issuing EWR under the Act may issue EWR...

  6. Implementation of a metadata architecture and knowledge collection to support semantic interoperability in an enterprise data warehouse.

    PubMed

    Dhaval, Rakesh; Borlawsky, Tara; Ostrander, Michael; Santangelo, Jennifer; Kamal, Jyoti; Payne, Philip R O

    2008-11-06

    In order to enhance interoperability between enterprise systems, and improve data validity and reliability throughout The Ohio State University Medical Center (OSUMC), we have initiated the development of an ontology-anchored metadata architecture and knowledge collection for our enterprise data warehouse. The metadata and corresponding semantic relationships stored in the OSUMC knowledge collection are intended to promote consistency and interoperability across the heterogeneous clinical, research, business and education information managed within the data warehouse.

  7. Metadata to Support Data Warehouse Evolution

    NASA Astrophysics Data System (ADS)

    Solodovnikova, Darja

    The focus of this chapter is metadata necessary to support data warehouse evolution. We present the data warehouse framework that is able to track evolution process and adapt data warehouse schemata and data extraction, transformation, and loading (ETL) processes. We discuss the significant part of the framework, the metadata repository that stores information about the data warehouse, logical and physical schemata and their versions. We propose the physical implementation of multiversion data warehouse in a relational DBMS. For each modification of a data warehouse schema, we outline the changes that need to be made to the repository metadata and in the database.

  8. Eastern Rensselaer County Community Warehouse. Final report

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

    NONE

    1998-02-01

    The Eastern Rensselaer County Community Warehouse (ERCCW) project was conducted to determine if reuse is a feasible waste-management technology. The project had three phases: determining the feasibility of economically collecting, warehousing, refurbishing, and selling salvageable items from transfer stations, individuals, and businesses located in a rural area; preparing an operational plan; implementing the plan. Project findings suggest that, with proper management, a warehouse for waste reuse is feasible and can be self-sustaining. It also found that reuse results in the short-term saving of landfill capacity, and can provide low-cost goods to residents of rural areas. The study concludes that reuse,more » through retailing, is a viable waste-management practice. The report has been prepared as a how-to guide for municipalities, organizations, and individuals interested in reducing landfill waste and in establishing a reuse/recycling facility. Questions to consider, resources, and an overview of the ERCCW project are provided.« less

  9. Envirofacts Data Warehouse

    EPA Pesticide Factsheets

    The Envirofacts Data Warehouse contains information from select EPA Environmental program office databases and provides access about environmental activities that may affect air, water, and land anywhere in the United States. The Envirofacts Warehouse supports its own web enabled tools as well as a host of other EPA applications.

  10. ADM. Warehouse (TAN604) Floor plan. General warehouse and chemical storage. ...

    Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

    ADM. Warehouse (TAN-604) Floor plan. General warehouse and chemical storage. Ralph M. Parsons 902-2-ANP-604-A 55. Date: December 1952. Approved by INEEL Classification Office for public release. INEEL index code no. 035-0604-00-693-106727 - Idaho National Engineering Laboratory, Test Area North, Scoville, Butte County, ID

  11. 7 CFR 735.401 - Electronic warehouse receipt and USWA electronic document providers.

    Code of Federal Regulations, 2013 CFR

    2013-01-01

    ... 7 Agriculture 7 2013-01-01 2013-01-01 false Electronic warehouse receipt and USWA electronic... UNITED STATES WAREHOUSE ACT Electronic Providers § 735.401 Electronic warehouse receipt and USWA electronic document providers. (a) To establish a USWA-authorized system to issue and transfer EWR's and USWA...

  12. 7 CFR 735.401 - Electronic warehouse receipt and USWA electronic document providers.

    Code of Federal Regulations, 2014 CFR

    2014-01-01

    ... 7 Agriculture 7 2014-01-01 2014-01-01 false Electronic warehouse receipt and USWA electronic... UNITED STATES WAREHOUSE ACT Electronic Providers § 735.401 Electronic warehouse receipt and USWA electronic document providers. (a) To establish a USWA-authorized system to issue and transfer EWR's and USWA...

  13. 7 CFR 735.401 - Electronic warehouse receipt and USWA electronic document providers.

    Code of Federal Regulations, 2010 CFR

    2010-01-01

    ... 7 Agriculture 7 2010-01-01 2010-01-01 false Electronic warehouse receipt and USWA electronic... UNITED STATES WAREHOUSE ACT Electronic Providers § 735.401 Electronic warehouse receipt and USWA electronic document providers. (a) To establish a USWA-authorized system to issue and transfer EWR's and USWA...

  14. 7 CFR 735.401 - Electronic warehouse receipt and USWA electronic document providers.

    Code of Federal Regulations, 2012 CFR

    2012-01-01

    ... 7 Agriculture 7 2012-01-01 2012-01-01 false Electronic warehouse receipt and USWA electronic... UNITED STATES WAREHOUSE ACT Electronic Providers § 735.401 Electronic warehouse receipt and USWA electronic document providers. (a) To establish a USWA-authorized system to issue and transfer EWR's and USWA...

  15. 7 CFR 735.401 - Electronic warehouse receipt and USWA electronic document providers.

    Code of Federal Regulations, 2011 CFR

    2011-01-01

    ... 7 Agriculture 7 2011-01-01 2011-01-01 false Electronic warehouse receipt and USWA electronic... UNITED STATES WAREHOUSE ACT Electronic Providers § 735.401 Electronic warehouse receipt and USWA electronic document providers. (a) To establish a USWA-authorized system to issue and transfer EWR's and USWA...

  16. BI Reporting, Data Warehouse Systems, and Beyond. CDS Spotlight Report. Research Bulletin

    ERIC Educational Resources Information Center

    Lang, Leah; Pirani, Judith A.

    2014-01-01

    This Spotlight focuses on data from the 2013 Core Data Service [CDS] to better understand how higher education institutions approach business intelligence (BI) reporting and data warehouse systems (see the Sidebar for definitions). Information provided for this Spotlight was derived from Module 8 of CDS, which contains several questions regarding…

  17. Benchmarking the State of Kosrae's Education Management Information System. REL 2017-174

    ERIC Educational Resources Information Center

    Kendall, John S.; Dandapani, Nitara; Cicchinelli, Louis F.

    2016-01-01

    A quality data management system, such as an education management information system (EMIS), a state longitudinal data system, or a data warehouse, is key to ensuring that education policy, planning, and strategy decisions are grounded in accurate information (Data Quality Campaign, 2010; Mohamed, Kadir, May-Lin, Rahman, & Arshad, 2009;…

  18. Benchmarking the State of Chuuk's Education Management Information System. REL 2017-176

    ERIC Educational Resources Information Center

    Kendall, John S.; Dandapani, Nitara; Cicchinelli, Louis F.

    2016-01-01

    A quality data management system, such as an education management information system (EMIS), a state longitudinal data system, or a data warehouse, is key to ensuring that education policy, planning, and strategy decisions are grounded in accurate information (Data Quality Campaign, 2010; Mohamed, Kadir, May-Lin, Rahman, & Arshad, 2009;…

  19. Benchmarking the State of Yap's Education Management Information System. REL 2016-117

    ERIC Educational Resources Information Center

    Cicchinelli, Louis F.; Kendall, John S.; Dandapani, Nitara

    2016-01-01

    A quality data management system, such as an education management information system (EMIS), a state longitudinal data system, or a data warehouse, is key to ensuring that education policy, planning, and strategy decisions are grounded in accurate information. The chief state school officers of the Federated States of Micronesia have recognized…

  20. Benchmarking the State of Pohnpei's Education Management Information System. REL 2017-175

    ERIC Educational Resources Information Center

    Kendall, John S.; Dandapani, Nitara; Cicchinelli, Louis F.

    2016-01-01

    A quality data management system, such as an education management information system (EMIS), a state longitudinal data system, or a data warehouse, is key to ensuring that education policy, planning, and strategy decisions are grounded in accurate information (Data Quality Campaign, 2010; Mohamed, Kadir, May-Lin, Rahman, & Arshad, 2009;…

  1. Developing a standardized healthcare cost data warehouse.

    PubMed

    Visscher, Sue L; Naessens, James M; Yawn, Barbara P; Reinalda, Megan S; Anderson, Stephanie S; Borah, Bijan J

    2017-06-12

    Research addressing value in healthcare requires a measure of cost. While there are many sources and types of cost data, each has strengths and weaknesses. Many researchers appear to create study-specific cost datasets, but the explanations of their costing methodologies are not always clear, causing their results to be difficult to interpret. Our solution, described in this paper, was to use widely accepted costing methodologies to create a service-level, standardized healthcare cost data warehouse from an institutional perspective that includes all professional and hospital-billed services for our patients. The warehouse is based on a National Institutes of Research-funded research infrastructure containing the linked health records and medical care administrative data of two healthcare providers and their affiliated hospitals. Since all patients are identified in the data warehouse, their costs can be linked to other systems and databases, such as electronic health records, tumor registries, and disease or treatment registries. We describe the two institutions' administrative source data; the reference files, which include Medicare fee schedules and cost reports; the process of creating standardized costs; and the warehouse structure. The costing algorithm can create inflation-adjusted standardized costs at the service line level for defined study cohorts on request. The resulting standardized costs contained in the data warehouse can be used to create detailed, bottom-up analyses of professional and facility costs of procedures, medical conditions, and patient care cycles without revealing business-sensitive information. After its creation, a standardized cost data warehouse is relatively easy to maintain and can be expanded to include data from other providers. Individual investigators who may not have sufficient knowledge about administrative data do not have to try to create their own standardized costs on a project-by-project basis because our data

  2. Population dynamics of stored maize insect pests in warehouses in two districts of Ghana

    USDA-ARS?s Scientific Manuscript database

    Understanding what insect species are present and their temporal and spatial patterns of distribution is important for developing a successful integrated pest management strategy for food storage in warehouses. Maize in many countries in Africa is stored in bags in warehouses, but little monitoring ...

  3. Lagrange multiplier for perishable inventory model considering warehouse capacity planning

    NASA Astrophysics Data System (ADS)

    Amran, Tiena Gustina; Fatima, Zenny

    2017-06-01

    This paper presented Lagrange Muktiplier approach for solving perishable raw material inventory planning considering warehouse capacity. A food company faced an issue of managing perishable raw materials and marinades which have limited shelf life. Another constraint to be considered was the capacity of the warehouse. Therefore, an inventory model considering shelf life and raw material warehouse capacity are needed in order to minimize the company's inventory cost. The inventory model implemented in this study was the adapted economic order quantity (EOQ) model which is optimized using Lagrange multiplier. The model and solution approach were applied to solve a case industry in a food manufacturer. The result showed that the total inventory cost decreased 2.42% after applying the proposed approach.

  4. Data warehouse model design technology analysis and research

    NASA Astrophysics Data System (ADS)

    Jiang, Wenhua; Li, Qingshui

    2012-01-01

    Existing data storage format can not meet the needs of information analysis, data warehouse onto the historical stage, the data warehouse is to support business decision making and the creation of specially designed data collection. With the data warehouse, the companies will all collected information is stored in the data warehouse. The data warehouse is organized according to some, making information easy to access and has value. This paper focuses on the establishment of data warehouse and analysis, design, data warehouse, two barrier models, and compares them.

  5. Building a Data Warehouse.

    ERIC Educational Resources Information Center

    Levine, Elliott

    2002-01-01

    Describes how to build a data warehouse, using the Schools Interoperability Framework (www.sifinfo.org), that supports data-driven decision making and complies with the Freedom of Information Act. Provides several suggestions for building and maintaining a data warehouse. (PKP)

  6. Data delivery workflow in an academic information warehouse.

    PubMed

    Erdal, Selnur; Rogers, Patrick; Santangelo, Jennifer; Buskirk, Jason; Ostrander, Michael; Liu, Jianhua; Kamal, Jyoti

    2008-11-06

    The Ohio State University Medical Center (OSUMC) Information Warehouse (IW) collects data from many systems throughout the OSUMC on load cycles ranging from real-time to on-demand. The data then is prepared for delivery to diversity of customers across the clinical, education, and research sectors of the OSUMC. Some of the data collected at the IW include patient management, billing and finance, procedures, medications, lab results, clinical reports, physician order entry, outcomes, demographics, and so on. This data is made available to the users of the IW in variety of formats and methods.

  7. A UHF RFID positioning system for use in warehouse navigation by employees with cognitive disability.

    PubMed

    Gunther, Eric J M; Sliker, Levin J; Bodine, Cathy

    2017-11-01

    Unemployment among the almost 5 million working-age adults with cognitive disabilities in the USA is a costly problem in both tax dollars and quality of life. Job coaching is an effective tool to overcome this, but the cost of job coaching services sums with every new employee or change of employment roles. There is a need for a cost-effective, automated alternative to job coaching that incurs a one-time cost and can be reused for multiple employees or roles. An effective automated job coach must be aware of its location and the location of destinations within the job site. This project presents a design and prototype of a cart-mounted indoor positioning and navigation system with necessary original software using Ultra High Frequency Radio Frequency Identification (UHF RFID). The system presented in this project for use within a warehouse setting is one component of an automated job coach to assist in the job of order filler. The system demonstrated accuracy to within 0.3 m under the correct conditions with strong potential to serve as the basis for an effective indoor navigation system to assist warehouse workers with disabilities. Implications for rehabilitation An automated job coach could improve employability of and job retention for people with cognitive disabilities. An indoor navigation system using ultra high frequency radio frequency identification was proposed with an average positioning accuracy of 0.3 m. The proposed system, in combination with a non-linear context-aware prompting system, could be used as an automated job coach for warehouse order fillers with cognitive disabilities.

  8. Automated realtime data import for the i2b2 clinical data warehouse: introducing the HL7 ETL cell.

    PubMed

    Majeed, Raphael W; Röhrig, Rainer

    2012-01-01

    Clinical data warehouses are used to consolidate all available clinical data from one or multiple organizations. They represent an important source for clinical research, quality management and controlling. Since its introduction, the data warehouse i2b2 gathered a large user base in the research community. Yet, little work has been done on the process of importing clinical data into data warehouses using existing standards. In this article, we present a novel approach of utilizing the clinical integration server as data source, commonly available in most hospitals. As information is transmitted through the integration server, the standardized HL7 message is immediately parsed and inserted into the data warehouse. Evaluation of import speeds suggest feasibility of the provided solution for real-time processing of HL7 messages. By using the presented approach of standardized data import, i2b2 can be used as a plug and play data warehouse, without the hurdle of customized import for every clinical information system or electronic medical record. The provided solution is available for download at http://sourceforge.net/projects/histream/.

  9. 7 CFR 1427.11 - Warehouse receipts.

    Code of Federal Regulations, 2010 CFR

    2010-01-01

    ... (Signature or initials), Date. (3) Alterations in other inserted data on a machine card type warehouse... 7 Agriculture 10 2010-01-01 2010-01-01 false Warehouse receipts. 1427.11 Section 1427.11... Deficiency Payments § 1427.11 Warehouse receipts. (a) Producers may obtain loans on eligible cotton...

  10. 7 CFR 1427.11 - Warehouse receipts.

    Code of Federal Regulations, 2011 CFR

    2011-01-01

    ... (Signature or initials), Date. (3) Alterations in other inserted data on a machine card type warehouse... 7 Agriculture 10 2011-01-01 2011-01-01 false Warehouse receipts. 1427.11 Section 1427.11... Deficiency Payments § 1427.11 Warehouse receipts. (a) Producers may obtain loans on eligible cotton...

  11. Clinical Use of an Enterprise Data Warehouse

    PubMed Central

    Evans, R. Scott; Lloyd, James F.; Pierce, Lee A.

    2012-01-01

    The enormous amount of data being collected by electronic medical records (EMR) has found additional value when integrated and stored in data warehouses. The enterprise data warehouse (EDW) allows all data from an organization with numerous inpatient and outpatient facilities to be integrated and analyzed. We have found the EDW at Intermountain Healthcare to not only be an essential tool for management and strategic decision making, but also for patient specific clinical decision support. This paper presents the structure and two case studies of a framework that has provided us the ability to create a number of decision support applications that are dependent on the integration of previous enterprise-wide data in addition to a patient’s current information in the EMR. PMID:23304288

  12. Using Data Warehouses to extract knowledge from Agro-Hydrological simulations

    NASA Astrophysics Data System (ADS)

    Bouadi, Tassadit; Gascuel-Odoux, Chantal; Cordier, Marie-Odile; Quiniou, René; Moreau, Pierre

    2013-04-01

    In recent years, simulation models have been used more and more in hydrology to test the effect of scenarios and help stakeholders in decision making. Agro-hydrological models have oriented agricultural water management, by testing the effect of landscape structure and farming system changes on water and chemical emission in rivers. Such models generate a large amount of data while few of them, such as daily concentrations at the outlet of the catchment, or annual budgets regarding soil, water and atmosphere emissions, are stored and analyzed. Thus, a great amount of information is lost from the simulation process. This is due to the large volumes of simulated data, but also to the difficulties in analyzing and transforming the data in an usable information. In this talk we illustrate a data warehouse which has been built to store and manage simulation data coming from the agro-hydrological model TNT (Topography-based nitrogen transfer and transformations, (Beaujouan et al., 2002)). This model simulates the transfer and transformation of nitrogen in agricultural catchments. TNT was used over 10 years on the Yar catchment (western France), a 50 km2 square area which present a detailed data set and have to facing to environmental issue (coastal eutrophication). 44 output key simulated variables are stored at a daily time step, i.e, 8 GB of storage size, which allows the users to explore the N emission in space and time, to quantify all the processes of transfer and transformation regarding the cropping systems, their location within the catchment, the emission in water and atmosphere, and finally to get new knowledge and help in making specific and detailed decision in space and time. We present the dimensional modeling process of the Nitrogen in catchment data warehouse (i.e. the snowflake model). After identifying the set of multileveled dimensions with complex hierarchical structures and relationships among related dimension levels, we chose the snowflake model to

  13. Visual query tool for finding patient cohorts from a clinical data warehouse of the partners HealthCare system

    PubMed Central

    Murphy, SN; Barnett, GO; Chueh, HC

    2000-01-01

    The patient base of the Partners HealthCare System in Boston exceeds 1.8 million. Many of these patients are desirable for participation in research studies. To facilitate their discovery, we developed a data warehouse to contain clinical characteristics of these patients. The data warehouse contains diagnosis and procedures from administrative databases. The patients are indexed across institutions and their demographics provided by an Enterprise Master Patient Indexing service. Characteristics of the diagnoses and procedures such as associated providers, dates of service, inpatient/outpatient status, and other visit-related characteristics are also fed from the administrative systems. The targeted users of this system are research clinician s interested in finding patient cohorts for research studies. Their data requirements were analyzed and have been reported elsewhere. We did not expect the clinicians to become expert users of the system. Tools for querying healthcare data have traditionally been text based, although graphical interfaces have been pursued. In order to support the simple drag and drop visual model, as well as the identification and distribution of the patient data, a three-tier software architecture was developed. The user interface was developed in Visual Basic and distributed as an ActiveX object embedded in an HTML page. The middle layer was developed in Java and Microsoft COM. The queries are represented throughout their lifetime as XML objects, and the Microsoft SQL7 database is queried and managed in standard SQL. PMID:11080028

  14. Visual query tool for finding patient cohorts from a clinical data warehouse of the partners HealthCare system

    PubMed

    Murphy; Barnett; Chueh

    2000-01-01

    The patient base of the Partners HealthCare System in Boston exceeds 1.8 million. Many of these patients are desirable for participation in research studies. To facilitate their discovery, we developed a data warehouse to contain clinical characteristics of these patients. The data warehouse contains diagnosis and procedures from administrative databases. The patients are indexed across institutions and their demographics provided by an Enterprise Master Patient Indexing service. Characteristics of the diagnoses and procedures such as associated providers, dates of service, inpatient/outpatient status, and other visit-related characteristics are also fed from the administrative systems. The targeted users of this system are research clinician s interested in finding patient cohorts for research studies. Their data requirements were analyzed and have been reported elsewhere. We did not expect the clinicians to become expert users of the system. Tools for querying healthcare data have traditionally been text based, although graphical interfaces have been pursued. In order to support the simple drag and drop visual model, as well as the identification and distribution of the patient data, a three-tier software architecture was developed. The user interface was developed in Visual Basic and distributed as an ActiveX object embedded in an HTML page. The middle layer was developed in Java and Microsoft COM. The queries are represented throughout their lifetime as XML objects, and the Microsoft SQL7 database is queried and managed in standard SQL.

  15. DWARF – a data warehouse system for analyzing protein families

    PubMed Central

    Fischer, Markus; Thai, Quan K; Grieb, Melanie; Pleiss, Jürgen

    2006-01-01

    Background The emerging field of integrative bioinformatics provides the tools to organize and systematically analyze vast amounts of highly diverse biological data and thus allows to gain a novel understanding of complex biological systems. The data warehouse DWARF applies integrative bioinformatics approaches to the analysis of large protein families. Description The data warehouse system DWARF integrates data on sequence, structure, and functional annotation for protein fold families. The underlying relational data model consists of three major sections representing entities related to the protein (biochemical function, source organism, classification to homologous families and superfamilies), the protein sequence (position-specific annotation, mutant information), and the protein structure (secondary structure information, superimposed tertiary structure). Tools for extracting, transforming and loading data from public available resources (ExPDB, GenBank, DSSP) are provided to populate the database. The data can be accessed by an interface for searching and browsing, and by analysis tools that operate on annotation, sequence, or structure. We applied DWARF to the family of α/β-hydrolases to host the Lipase Engineering database. Release 2.3 contains 6138 sequences and 167 experimentally determined protein structures, which are assigned to 37 superfamilies 103 homologous families. Conclusion DWARF has been designed for constructing databases of large structurally related protein families and for evaluating their sequence-structure-function relationships by a systematic analysis of sequence, structure and functional annotation. It has been applied to predict biochemical properties from sequence, and serves as a valuable tool for protein engineering. PMID:17094801

  16. 19 CFR 19.1 - Classes of customs warehouses.

    Code of Federal Regulations, 2011 CFR

    2011-04-01

    ... customs warehouses. (a) Classifications. Customs warehouses shall be designated according to the following classifications: (1) Class 1. Premises that may be owned or leased by the Government, when the exigencies of the... class 11 warehouse, following an application under § 19.2. So far as such warehouses are used for the...

  17. 19 CFR 19.1 - Classes of customs warehouses.

    Code of Federal Regulations, 2010 CFR

    2010-04-01

    ... customs warehouses. (a) Classifications. Customs warehouses shall be designated according to the following classifications: (1) Class 1. Premises that may be owned or leased by the Government, when the exigencies of the... class 11 warehouse, following an application under § 19.2. So far as such warehouses are used for the...

  18. Data warehouse governance programs in healthcare settings: a literature review and a call to action.

    PubMed

    Elliott, Thomas E; Holmes, John H; Davidson, Arthur J; La Chance, Pierre-Andre; Nelson, Andrew F; Steiner, John F

    2013-01-01

    Given the extensive data stored in healthcare data warehouses, data warehouse governance policies are needed to ensure data integrity and privacy. This review examines the current state of the data warehouse governance literature as it applies to healthcare data warehouses, identifies knowledge gaps, provides recommendations, and suggests approaches for further research. A comprehensive literature search using five data bases, journal article title-search, and citation searches was conducted between 1997 and 2012. Data warehouse governance documents from two healthcare systems in the USA were also reviewed. A modified version of nine components from the Data Governance Institute Framework for data warehouse governance guided the qualitative analysis. Fifteen articles were retrieved. Only three were related to healthcare settings, each of which addressed only one of the nine framework components. Of the remaining 12 articles, 10 addressed between one and seven framework components and the remainder addressed none. Each of the two data warehouse governance plans obtained from healthcare systems in the USA addressed a subset of the framework components, and between them they covered all nine. While published data warehouse governance policies are rare, the 15 articles and two healthcare organizational documents reviewed in this study may provide guidance to creating such policies. Additional research is needed in this area to ensure that data warehouse governance polices are feasible and effective. The gap between the development of data warehouses in healthcare settings and formal governance policies is substantial, as evidenced by the sparse literature in this domain.

  19. 27 CFR 24.141 - Bonded wine warehouse.

    Code of Federal Regulations, 2010 CFR

    2010-04-01

    ... 27 Alcohol, Tobacco Products and Firearms 1 2010-04-01 2010-04-01 false Bonded wine warehouse. 24..., DEPARTMENT OF THE TREASURY LIQUORS WINE Establishment and Operations Permanent Discontinuance of Operations § 24.141 Bonded wine warehouse. Where all operations at a bonded wine warehouse are to be permanently...

  20. 7 CFR 735.303 - Electronic warehouse receipts.

    Code of Federal Regulations, 2013 CFR

    2013-01-01

    ... 7 Agriculture 7 2013-01-01 2013-01-01 false Electronic warehouse receipts. 735.303 Section 735.303 Agriculture Regulations of the Department of Agriculture (Continued) FARM SERVICE AGENCY, DEPARTMENT OF... § 735.303 Electronic warehouse receipts. (a) Warehouse operators issuing EWR under the Act may issue EWR...

  1. 7 CFR 735.303 - Electronic warehouse receipts.

    Code of Federal Regulations, 2014 CFR

    2014-01-01

    ... 7 Agriculture 7 2014-01-01 2014-01-01 false Electronic warehouse receipts. 735.303 Section 735.303 Agriculture Regulations of the Department of Agriculture (Continued) FARM SERVICE AGENCY, DEPARTMENT OF... § 735.303 Electronic warehouse receipts. (a) Warehouse operators issuing EWR under the Act may issue EWR...

  2. 7 CFR 735.303 - Electronic warehouse receipts.

    Code of Federal Regulations, 2012 CFR

    2012-01-01

    ... 7 Agriculture 7 2012-01-01 2012-01-01 false Electronic warehouse receipts. 735.303 Section 735.303 Agriculture Regulations of the Department of Agriculture (Continued) FARM SERVICE AGENCY, DEPARTMENT OF... § 735.303 Electronic warehouse receipts. (a) Warehouse operators issuing EWR under the Act may issue EWR...

  3. 7 CFR 735.302 - Paper warehouse receipts.

    Code of Federal Regulations, 2010 CFR

    2010-01-01

    ... 7 Agriculture 7 2010-01-01 2010-01-01 false Paper warehouse receipts. 735.302 Section 735.302... § 735.302 Paper warehouse receipts. Paper warehouse receipts must be issued as follows: (a) On distinctive paper specified by DACO; (b) Printed by a printer authorized by DACO; and (c) Issued, identified...

  4. 7 CFR 735.302 - Paper warehouse receipts.

    Code of Federal Regulations, 2011 CFR

    2011-01-01

    ... 7 Agriculture 7 2011-01-01 2011-01-01 false Paper warehouse receipts. 735.302 Section 735.302... § 735.302 Paper warehouse receipts. Paper warehouse receipts must be issued as follows: (a) On distinctive paper specified by DACO; (b) Printed by a printer authorized by DACO; and (c) Issued, identified...

  5. Data Warehouse Governance Programs in Healthcare Settings: A Literature Review and a Call to Action

    PubMed Central

    Elliott, Thomas E.; Holmes, John H.; Davidson, Arthur J.; La Chance, Pierre-Andre; Nelson, Andrew F.; Steiner, John F.

    2013-01-01

    Purpose: Given the extensive data stored in healthcare data warehouses, data warehouse governance policies are needed to ensure data integrity and privacy. This review examines the current state of the data warehouse governance literature as it applies to healthcare data warehouses, identifies knowledge gaps, provides recommendations, and suggests approaches for further research. Methods: A comprehensive literature search using five data bases, journal article title-search, and citation searches was conducted between 1997 and 2012. Data warehouse governance documents from two healthcare systems in the USA were also reviewed. A modified version of nine components from the Data Governance Institute Framework for data warehouse governance guided the qualitative analysis. Results: Fifteen articles were retrieved. Only three were related to healthcare settings, each of which addressed only one of the nine framework components. Of the remaining 12 articles, 10 addressed between one and seven framework components and the remainder addressed none. Each of the two data warehouse governance plans obtained from healthcare systems in the USA addressed a subset of the framework components, and between them they covered all nine. Conclusions: While published data warehouse governance policies are rare, the 15 articles and two healthcare organizational documents reviewed in this study may provide guidance to creating such policies. Additional research is needed in this area to ensure that data warehouse governance polices are feasible and effective. The gap between the development of data warehouses in healthcare settings and formal governance policies is substantial, as evidenced by the sparse literature in this domain. PMID:25848561

  6. Design of a Multi Dimensional Database for the Archimed DataWarehouse.

    PubMed

    Bréant, Claudine; Thurler, Gérald; Borst, François; Geissbuhler, Antoine

    2005-01-01

    The Archimed data warehouse project started in 1993 at the Geneva University Hospital. It has progressively integrated seven data marts (or domains of activity) archiving medical data such as Admission/Discharge/Transfer (ADT) data, laboratory results, radiology exams, diagnoses, and procedure codes. The objective of the Archimed data warehouse is to facilitate the access to an integrated and coherent view of patient medical in order to support analytical activities such as medical statistics, clinical studies, retrieval of similar cases and data mining processes. This paper discusses three principal design aspects relative to the conception of the database of the data warehouse: 1) the granularity of the database, which refers to the level of detail or summarization of data, 2) the database model and architecture, describing how data will be presented to end users and how new data is integrated, 3) the life cycle of the database, in order to ensure long term scalability of the environment. Both, the organization of patient medical data using a standardized elementary fact representation and the use of the multi dimensional model have proved to be powerful design tools to integrate data coming from the multiple heterogeneous database systems part of the transactional Hospital Information System (HIS). Concurrently, the building of the data warehouse in an incremental way has helped to control the evolution of the data content. These three design aspects bring clarity and performance regarding data access. They also provide long term scalability to the system and resilience to further changes that may occur in source systems feeding the data warehouse.

  7. Data Warehouse Discovery Framework: The Foundation

    NASA Astrophysics Data System (ADS)

    Apanowicz, Cas

    The cost of building an Enterprise Data Warehouse Environment runs usually in millions of dollars and takes years to complete. The cost, as big as it is, is not the primary problem for a given corporation. The risk that all money allocated for planning, design and implementation of the Data Warehouse and Business Intelligence Environment may not bring the result expected, fare out way the cost of entire effort [2,10]. The combination of the two above factors is the main reason that Data Warehouse/Business Intelligence is often single most expensive and most risky IT endeavor for companies [13]. That situation was the main author's inspiration behind founding of Infobright Corp and later on the concept of Data Warehouse Discovery Framework.

  8. Efficient data management tools for the heterogeneous big data warehouse

    NASA Astrophysics Data System (ADS)

    Alekseev, A. A.; Osipova, V. V.; Ivanov, M. A.; Klimentov, A.; Grigorieva, N. V.; Nalamwar, H. S.

    2016-09-01

    The traditional RDBMS has been consistent for the normalized data structures. RDBMS served well for decades, but the technology is not optimal for data processing and analysis in data intensive fields like social networks, oil-gas industry, experiments at the Large Hadron Collider, etc. Several challenges have been raised recently on the scalability of data warehouse like workload against the transactional schema, in particular for the analysis of archived data or the aggregation of data for summary and accounting purposes. The paper evaluates new database technologies like HBase, Cassandra, and MongoDB commonly referred as NoSQL databases for handling messy, varied and large amount of data. The evaluation depends upon the performance, throughput and scalability of the above technologies for several scientific and industrial use-cases. This paper outlines the technologies and architectures needed for processing Big Data, as well as the description of the back-end application that implements data migration from RDBMS to NoSQL data warehouse, NoSQL database organization and how it could be useful for further data analytics.

  9. Characterization of post-disaster environmental management for Hazardous Materials Incidents: Lessons learnt from the Tianjin warehouse explosion, China.

    PubMed

    Zhang, Hui; Duan, Huabo; Zuo, Jian; Song, MingWei; Zhang, Yukui; Yang, Bo; Niu, Yongning

    2017-09-01

    Hazardous Materials Incidents (HMIs) have attracted a growing public concern worldwide. The health risks and environmental implications associated with HMIs are almost invariably severe, and underscore the urgency for sound management. Hazardous Materials Explosion incidents (HMEIs) belong to a category of extremely serious HMIs. Existing studies placed focuses predominately on the promptness and efficiency of emergency responses to HMIs and HMEIs. By contrast, post-disaster environmental management has been largely overlooked. Very few studies attempted to examine the post-disaster environmental management plan particularly its effectiveness and sufficiency. In the event of the Tianjin warehouse explosion (TWE), apart from the immediate emergency response, the post-disaster environmental management systems (P-EMSs) have been reported to be effective and sufficient in dealing with the environmental concerns. Therefore, this study aims to critically investigate the P-EMSs for the TWE, and consequently to propose a framework and procedures for P-EMSs in general for HMIs, particularly for HMEIs. These findings provide a useful reference to develop P-EMSs for HMIs in the future, not only in China but also other countries. Copyright © 2017. Published by Elsevier Ltd.

  10. Improve Performance of Data Warehouse by Query Cache

    NASA Astrophysics Data System (ADS)

    Gour, Vishal; Sarangdevot, S. S.; Sharma, Anand; Choudhary, Vinod

    2010-11-01

    The primary goal of data warehouse is to free the information locked up in the operational database so that decision makers and business analyst can make queries, analysis and planning regardless of the data changes in operational database. As the number of queries is large, therefore, in certain cases there is reasonable probability that same query submitted by the one or multiple users at different times. Each time when query is executed, all the data of warehouse is analyzed to generate the result of that query. In this paper we will study how using query cache improves performance of Data Warehouse and try to find the common problems faced. These kinds of problems are faced by Data Warehouse administrators which are minimizes response time and improves the efficiency of query in data warehouse overall, particularly when data warehouse is updated at regular interval.

  11. 19 CFR 19.4 - CBP and proprietor responsibility and supervision over warehouses.

    Code of Federal Regulations, 2010 CFR

    2010-04-01

    ... inventory category of each article under FIFO procedures. Merchandise covered by a given unique identifier..., quantity counts of goods in warehouse inventories, spot checks of selected warehouse transactions or...) Maintain the inventory control and recordkeeping system in accordance with the provisions of § 19.12 of...

  12. The ToxBank Data Warehouse: Supporting the Replacement of In Vivo Repeated Dose Systemic Toxicity Testing.

    PubMed

    Kohonen, Pekka; Benfenati, Emilio; Bower, David; Ceder, Rebecca; Crump, Michael; Cross, Kevin; Grafström, Roland C; Healy, Lyn; Helma, Christoph; Jeliazkova, Nina; Jeliazkov, Vedrin; Maggioni, Silvia; Miller, Scott; Myatt, Glenn; Rautenberg, Michael; Stacey, Glyn; Willighagen, Egon; Wiseman, Jeff; Hardy, Barry

    2013-01-01

    The aim of the SEURAT-1 (Safety Evaluation Ultimately Replacing Animal Testing-1) research cluster, comprised of seven EU FP7 Health projects co-financed by Cosmetics Europe, is to generate a proof-of-concept to show how the latest technologies, systems toxicology and toxicogenomics can be combined to deliver a test replacement for repeated dose systemic toxicity testing on animals. The SEURAT-1 strategy is to adopt a mode-of-action framework to describe repeated dose toxicity, combining in vitro and in silico methods to derive predictions of in vivo toxicity responses. ToxBank is the cross-cluster infrastructure project whose activities include the development of a data warehouse to provide a web-accessible shared repository of research data and protocols, a physical compounds repository, reference or "gold compounds" for use across the cluster (available via wiki.toxbank.net), and a reference resource for biomaterials. Core technologies used in the data warehouse include the ISA-Tab universal data exchange format, REpresentational State Transfer (REST) web services, the W3C Resource Description Framework (RDF) and the OpenTox standards. We describe the design of the data warehouse based on cluster requirements, the implementation based on open standards, and finally the underlying concepts and initial results of a data analysis utilizing public data related to the gold compounds. Copyright © 2013 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

  13. Development of a Clinical Data Warehouse for Hospital Infection Control

    PubMed Central

    Wisniewski, Mary F.; Kieszkowski, Piotr; Zagorski, Brandon M.; Trick, William E.; Sommers, Michael; Weinstein, Robert A.

    2003-01-01

    Existing data stored in a hospital's transactional servers have enormous potential to improve performance measurement and health care quality. Accessing, organizing, and using these data to support research and quality improvement projects are evolving challenges for hospital systems. The authors report development of a clinical data warehouse that they created by importing data from the information systems of three affiliated public hospitals. They describe their methodology; difficulties encountered; responses from administrators, computer specialists, and clinicians; and the steps taken to capture and store patient-level data. The authors provide examples of their use of the clinical data warehouse to monitor antimicrobial resistance, to measure antimicrobial use, to detect hospital-acquired bloodstream infections, to measure the cost of infections, and to detect antimicrobial prescribing errors. In addition, they estimate the amount of time and money saved and the increased precision achieved through the practical application of the data warehouse. PMID:12807807

  14. 27 CFR 24.108 - Bonded wine warehouse application.

    Code of Federal Regulations, 2010 CFR

    2010-04-01

    ... 27 Alcohol, Tobacco Products and Firearms 1 2010-04-01 2010-04-01 false Bonded wine warehouse... BUREAU, DEPARTMENT OF THE TREASURY LIQUORS WINE Establishment and Operations Application § 24.108 Bonded wine warehouse application. A warehouse company or other person desiring to establish a bonded wine...

  15. Warehouse hazardous and toxic waste design in Karingau Balikpapan

    NASA Astrophysics Data System (ADS)

    Pratama, Bayu Rendy; Kencanawati, Martheana

    2017-11-01

    PT. Balikpapan Environmental Services (PT. BES) is company that having core business in Hazardous and Toxic Waste Management Services which consisting storage and transporter at Balikpapan. This research starting with data collection such as type of waste, quantity of waste, dimension area of existing building, waste packaging (Drum, IBC tank, Wooden Box, & Bulk Bag). Processing data that will be done are redesign for warehouse dimension and layout of position waste, specify of capacity, specify of quantity, type and detector placement, specify of quantity, type and fire extinguishers position which refers to Bapedal Regulation No. 01 In 1995, SNI 03-3985-2000, Employee Minister Regulation RI No. Per-04/Men/1980. Based on research that already done, founded the design for warehouse dimension of waste is 23 m × 22 m × 5 m with waste layout position appropriate with type of waste. The necessary of quantity for detector on this waste warehouse design are 56 each. The type of fire extinguisher that appropriate with this design is dry powder which containing natrium carbonate, alkali salts, with having each weight of 12 Kg about 18 units.

  16. Improving Warehouse Inventory Management Through Rfid, Barcoding and Robotics Technologies

    DTIC Science & Technology

    2014-12-01

    as a spider merge. This was designed and installed to speed up the conveyors . In their original design , conveyors traveled throughout the warehouse...lifts LCL lower confidence level xiv MRO material release order NPV net present value PMT positive material transfer POM Program Objective...depots. Active Radio Frequency Identification (aRFID ) Migration A program designed to move the active RFID enterprise from a proprietarily air interface

  17. Information Architecture: The Data Warehouse Foundation.

    ERIC Educational Resources Information Center

    Thomas, Charles R.

    1997-01-01

    Colleges and universities are initiating data warehouse projects to provide integrated information for planning and reporting purposes. A survey of 40 institutions with active data warehouse projects reveals the kinds of tools, contents, data cycles, and access currently used. Essential elements of an integrated information architecture are…

  18. Coupling detrended fluctuation analysis for multiple warehouse-out behavioral sequences

    NASA Astrophysics Data System (ADS)

    Yao, Can-Zhong; Lin, Ji-Nan; Zheng, Xu-Zhou

    2017-01-01

    Interaction patterns among different warehouses could make the warehouse-out behavioral sequences less predictable. We firstly take a coupling detrended fluctuation analysis on the warehouse-out quantity, and find that the multivariate sequences exhibit significant coupling multifractal characteristics regardless of the types of steel products. Secondly, we track the sources of multifractal warehouse-out sequences by shuffling and surrogating original ones, and we find that fat-tail distribution contributes more to multifractal features than the long-term memory, regardless of types of steel products. From perspective of warehouse contribution, some warehouses steadily contribute more to multifractal than other warehouses. Finally, based on multiscale multifractal analysis, we propose Hurst surface structure to investigate coupling multifractal, and show that multiple behavioral sequences exhibit significant coupling multifractal features that emerge and usually be restricted within relatively greater time scale interval.

  19. The Data Warehouse: Keeping It Simple. MIT Shares Valuable Lessons Learned from a Successful Data Warehouse Implementation.

    ERIC Educational Resources Information Center

    Thorne, Scott

    2000-01-01

    Explains why the data warehouse is important to the Massachusetts Institute of Technology community, describing its basic functions and technical design points; sharing some non-technical aspects of the school's data warehouse implementation that have proved to be important; examining the importance of proper training in a successful warehouse…

  20. 19 CFR 144.27 - Withdrawal from warehouse by transferee.

    Code of Federal Regulations, 2012 CFR

    2012-04-01

    ...; DEPARTMENT OF THE TREASURY (CONTINUED) WAREHOUSE AND REWAREHOUSE ENTRIES AND WITHDRAWALS Transfer of Right To Withdraw Merchandise from Warehouse § 144.27 Withdrawal from warehouse by transferee. At any time within... withdraw all or part of the merchandise covered by the transfer by filing any authorized kind of withdrawal...

  1. 19 CFR 144.27 - Withdrawal from warehouse by transferee.

    Code of Federal Regulations, 2010 CFR

    2010-04-01

    ...; DEPARTMENT OF THE TREASURY (CONTINUED) WAREHOUSE AND REWAREHOUSE ENTRIES AND WITHDRAWALS Transfer of Right To Withdraw Merchandise from Warehouse § 144.27 Withdrawal from warehouse by transferee. At any time within... withdraw all or part of the merchandise covered by the transfer by filing any authorized kind of withdrawal...

  2. What Academia Can Gain from Building a Data Warehouse.

    ERIC Educational Resources Information Center

    Wierschem, David; McMillen, Jeremy; McBroom, Randy

    2003-01-01

    Describes how, when used effectively, data warehouses can be a significant component of strategic decision making on campus. Discusses what a data warehouse is and what its informational contents may include, environmental drivers and obstacles, and strategies to justify developing a data warehouse for an academic institution. (EV)

  3. 7 CFR 1423.11 - Delivery and shipping standards for cotton warehouses.

    Code of Federal Regulations, 2014 CFR

    2014-01-01

    ... 7 Agriculture 10 2014-01-01 2014-01-01 false Delivery and shipping standards for cotton warehouses... CORPORATION APPROVED WAREHOUSES § 1423.11 Delivery and shipping standards for cotton warehouses. (a) Unless... warehouse operator will: (1) Deliver stored cotton without unnecessary delay. (2) Be considered to have...

  4. 7 CFR 1423.11 - Delivery and shipping standards for cotton warehouses.

    Code of Federal Regulations, 2013 CFR

    2013-01-01

    ... 7 Agriculture 10 2013-01-01 2013-01-01 false Delivery and shipping standards for cotton warehouses... CORPORATION APPROVED WAREHOUSES § 1423.11 Delivery and shipping standards for cotton warehouses. (a) Unless... warehouse operator will: (1) Deliver stored cotton without unnecessary delay. (2) Be considered to have...

  5. 7 CFR 1423.11 - Delivery and shipping standards for cotton warehouses.

    Code of Federal Regulations, 2011 CFR

    2011-01-01

    ... 7 Agriculture 10 2011-01-01 2011-01-01 false Delivery and shipping standards for cotton warehouses... CORPORATION APPROVED WAREHOUSES § 1423.11 Delivery and shipping standards for cotton warehouses. (a) Unless... warehouse operator will: (1) Deliver stored cotton without unnecessary delay. (2) Be considered to have...

  6. 7 CFR 1423.11 - Delivery and shipping standards for cotton warehouses.

    Code of Federal Regulations, 2012 CFR

    2012-01-01

    ... 7 Agriculture 10 2012-01-01 2012-01-01 false Delivery and shipping standards for cotton warehouses... CORPORATION APPROVED WAREHOUSES § 1423.11 Delivery and shipping standards for cotton warehouses. (a) Unless... warehouse operator will: (1) Deliver stored cotton without unnecessary delay. (2) Be considered to have...

  7. 7 CFR 1423.11 - Delivery and shipping standards for cotton warehouses.

    Code of Federal Regulations, 2010 CFR

    2010-01-01

    ... 7 Agriculture 10 2010-01-01 2010-01-01 false Delivery and shipping standards for cotton warehouses... CORPORATION APPROVED WAREHOUSES § 1423.11 Delivery and shipping standards for cotton warehouses. (a) Unless... warehouse operator will: (1) Deliver stored cotton without unnecessary delay. (2) Be considered to have...

  8. 75 FR 61532 - Privacy Act of 1974: New System of Records

    Federal Register 2010, 2011, 2012, 2013, 2014

    2010-10-05

    .../Central-15, Health Claims Data Warehouse to its inventory of records systems subject to the Privacy Act of...: Health Claims Data Warehouse. SYSTEM LOCATION: Office of Personnel Management, 1900 E Street, NW... written comments to the Office of Personnel Management, ATTN: Gary A. Lukowski, Ph.D., Manager, Data...

  9. The Challenges of Data Quality Evaluation in a Joint Data Warehouse

    PubMed Central

    Bae, Charles J.; Griffith, Sandra; Fan, Youran; Dunphy, Cheryl; Thompson, Nicolas; Urchek, John; Parchman, Alandra; Katzan, Irene L.

    2015-01-01

    Introduction: The use of clinically derived data from electronic health records (EHRs) and other electronic clinical systems can greatly facilitate clinical research as well as operational and quality initiatives. One approach for making these data available is to incorporate data from different sources into a joint data warehouse. When using such a data warehouse, it is important to understand the quality of the data. The primary objective of this study was to determine the completeness and concordance of common types of clinical data available in the Knowledge Program (KP) joint data warehouse, which contains feeds from several electronic systems including the EHR. Methods: A manual review was performed of specific data elements for 250 patients from an EHR, and these were compared with corresponding elements in the KP data warehouse. Completeness and concordance were calculated for five categories of data including demographics, vital signs, laboratory results, diagnoses, and medications. Results: In general, data elements for demographics, vital signs, diagnoses, and laboratory results were present in more cases in the source EHR compared to the KP. When data elements were available in both sources, there was a high concordance. In contrast, the KP data warehouse documented a higher prevalence of deaths and medications compared to the EHR. Discussion: Several factors contributed to the discrepancies between data in the KP and the EHR—including the start date and frequency of data feeds updates into the KP, inability to transfer data located in nonstructured formats (e.g., free text or scanned documents), as well as incomplete and missing data variables in the source EHR. Conclusion: When evaluating the quality of a data warehouse with multiple data sources, assessing completeness and concordance between data set and source data may be better than designating one to be a gold standard. This will allow the user to optimize the method and timing of data transfer

  10. 19 CFR 146.64 - Entry for warehouse.

    Code of Federal Regulations, 2010 CFR

    2010-04-01

    ... (CONTINUED) FOREIGN TRADE ZONES Transfer of Merchandise From a Zone § 146.64 Entry for warehouse. (a) Foreign... status may not be entered for warehouse from a zone. Merchandise in nonprivileged foreign status... different port. (b) Zone-restricted merchandise. Foreign merchandise in zone-restricted status may be...

  11. Data Warehouse Architecture for Army Installations

    DTIC Science & Technology

    1999-11-01

    Laboratory (CERL). Dr. Moonja Kim is Chief, CN-B and Dr. John Bandy is Chief, CN. The technical editor was Linda L. Wheatley, Information Technology...1994. Devlin, Barry, Data Warehouse, From Architecture to Implementation (Addison-Wesley, 1997). Inmon, W.H., Building the Data Warehouse ( John ...Magazine, August 1997. Kimball, Ralph, "Digging into Data Mining," DBMS Magazine, October 1997. Lewison , Lisa, "Data Mining: Intelligent Technology

  12. Implementation of Advanced Warehouses in a Hospital Environment - Case study

    NASA Astrophysics Data System (ADS)

    Costa, J.; Sameiro Carvalho, M.; Nobre, A.

    2015-05-01

    In Portugal, there is an increase of costs in the healthcare sector due to several factors such as the aging of the population, the increased demand for health care services and the increasing investment in new technologies. Thus, there is a need to reduce costs, by presenting the effective and efficient management of logistics supply systems with enormous potential to achieve savings in health care organizations without compromising the quality of the provided service, which is a critical factor, in this type of sector. In this research project the implementation of Advanced Warehouses has been studied, in the Hospital de Braga patient care units, based in a mix of replenishment systems approaches: the par level system, the two bin system and the consignment model. The logistics supply process is supported by information technology (IT), allowing a proactive replacement of products, based on the hospital services consumption records. The case study was developed in two patient care units, in order to study the impact of the operation of the three replenishment systems. Results showed that an important inventory holding costs reduction can be achieved in the patient care unit warehouses while increasing the service level and increasing control of incoming and stored materials with less human resources. The main conclusion of this work illustrates the possibility of operating multiple replenishment models, according to the types of materials that healthcare organizations deal with, so that they are able to provide quality health care services at a reduced cost and economically sustainable. The adoption of adequate IT has been shown critical for the success of the project.

  13. Summary of Research 2000, Department of Systems Management

    DTIC Science & Technology

    2001-12-01

    Postgraduate School, June 2000. Fryzlewicz, J., "Analysis of Measures of Performance and Continuous Improvement at the Naval Dental Center Pearl Harbor," Masters...mart driven relational system. Fourth, using the prototype relational data mart as a source system, a contemporary OLAP application is used to prove the...warehouse solution to integrating legacy systems are discussed. DoD KEY TECHNOLOGY AREA: Computing and Software KEYWORDS: OLAP , Data Warehouse

  14. A Simulation Modeling Approach Method Focused on the Refrigerated Warehouses Using Design of Experiment

    NASA Astrophysics Data System (ADS)

    Cho, G. S.

    2017-09-01

    For performance optimization of Refrigerated Warehouses, design parameters are selected based on the physical parameters such as number of equipment and aisles, speeds of forklift for ease of modification. This paper provides a comprehensive framework approach for the system design of Refrigerated Warehouses. We propose a modeling approach which aims at the simulation optimization so as to meet required design specifications using the Design of Experiment (DOE) and analyze a simulation model using integrated aspect-oriented modeling approach (i-AOMA). As a result, this suggested method can evaluate the performance of a variety of Refrigerated Warehouses operations.

  15. The importance of data warehouses for physician executives.

    PubMed

    Ruffin, M

    1994-11-01

    Soon, most physicians will begin to learn about data warehouses and clinical and financial data about their patients stored in them. What is a data warehouse? Why are we seeing their emergence in health care only now? How does a hospital, or group practice, or health plan acquire or create a data warehouse? Who should be responsible for it, and what sort of training is needed by those in charge of using it for the edification of the sponsoring organization? I'll try to answer these questions in this article.

  16. 15. FIRST FLOOR WAREHOUSE SPACE, SHOWING COLUMN / BEAM CONNECTION. ...

    Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

    15. FIRST FLOOR WAREHOUSE SPACE, SHOWING COLUMN / BEAM CONNECTION. VIEW TO SOUTHWEST. - Commercial & Industrial Buildings, Dubuque Seed Company Warehouse, 169-171 Iowa Street, Dubuque, Dubuque County, IA

  17. Methodological Guidelines for Reducing the Complexity of Data Warehouse Development for Transactional Blood Bank Systems

    PubMed Central

    Takecian, Pedro L.; Oikawa, Marcio K.; Braghetto, Kelly R.; Rocha, Paulo; Lucena, Fred; Kavounis, Katherine; Schlumpf, Karen S.; Acker, Susan; Carneiro-Proietti, Anna B. F.; Sabino, Ester C.; Custer, Brian; Busch, Michael P.; Ferreira, João E.

    2013-01-01

    Over time, data warehouse (DW) systems have become more difficult to develop because of the growing heterogeneity of data sources. Despite advances in research and technology, DW projects are still too slow for pragmatic results to be generated. Here, we address the following question: how can the complexity of DW development for integration of heterogeneous transactional information systems be reduced? To answer this, we proposed methodological guidelines based on cycles of conceptual modeling and data analysis, to drive construction of a modular DW system. These guidelines were applied to the blood donation domain, successfully reducing the complexity of DW development. PMID:23729945

  18. Methodological Guidelines for Reducing the Complexity of Data Warehouse Development for Transactional Blood Bank Systems.

    PubMed

    Takecian, Pedro L; Oikawa, Marcio K; Braghetto, Kelly R; Rocha, Paulo; Lucena, Fred; Kavounis, Katherine; Schlumpf, Karen S; Acker, Susan; Carneiro-Proietti, Anna B F; Sabino, Ester C; Custer, Brian; Busch, Michael P; Ferreira, João E

    2013-06-01

    Over time, data warehouse (DW) systems have become more difficult to develop because of the growing heterogeneity of data sources. Despite advances in research and technology, DW projects are still too slow for pragmatic results to be generated. Here, we address the following question: how can the complexity of DW development for integration of heterogeneous transactional information systems be reduced? To answer this, we proposed methodological guidelines based on cycles of conceptual modeling and data analysis, to drive construction of a modular DW system. These guidelines were applied to the blood donation domain, successfully reducing the complexity of DW development.

  19. 8. Freight Warehouse, looking east into the east section. Projecting ...

    Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

    8. Freight Warehouse, looking east into the east section. Projecting into the warehouse space are: (a) A loading dock with slatted walls (b) An office space above it and (c) A toilet and utility area. (b) and (c) are accessed through the Ticket Office. - Curtis Wharf, Freight Warehouse, O & Second Streets, Anacortes, Skagit County, WA

  20. The development of health care data warehouses to support data mining.

    PubMed

    Lyman, Jason A; Scully, Kenneth; Harrison, James H

    2008-03-01

    Clinical data warehouses offer tremendous benefits as a foundation for data mining. By serving as a source for comprehensive clinical and demographic information on large patient populations, they streamline knowledge discovery efforts by providing standard and efficient mechanisms to replace time-consuming and expensive original data collection, organization, and processing. Building effective data warehouses requires knowledge of and attention to key issues in database design, data acquisition and processing, and data access and security. In this article, the authors provide an operational and technical definition of data warehouses, present examples of data mining projects enabled by existing data warehouses, and describe key issues and challenges related to warehouse development and implementation.

  1. Database Are Not Toasters: A Framework for Comparing Data Warehouse Appliances

    NASA Astrophysics Data System (ADS)

    Trajman, Omer; Crolotte, Alain; Steinhoff, David; Nambiar, Raghunath Othayoth; Poess, Meikel

    The success of Business Intelligence (BI) applications depends on two factors, the ability to analyze data ever more quickly and the ability to handle ever increasing volumes of data. Data Warehouse (DW) and Data Mart (DM) installations that support BI applications have historically been built using traditional architectures either designed from the ground up or based on customized reference system designs. The advent of Data Warehouse Appliances (DA) brings packaged software and hardware solutions that address performance and scalability requirements for certain market segments. The differences between DAs and custom installations make direct comparisons between them impractical and suggest the need for a targeted DA benchmark. In this paper we review data warehouse appliances by surveying thirteen products offered today. We assess the common characteristics among them and propose a classification for DA offerings. We hope our results will help define a useful benchmark for DAs.

  2. Comparison of Dijkstra's algorithm and dynamic programming method in finding shortest path for order picker in a warehouse

    NASA Astrophysics Data System (ADS)

    Nordin, Noraimi Azlin Mohd; Omar, Mohd; Sharif, S. Sarifah Radiah

    2017-04-01

    Companies are looking forward to improve their productivity within their warehouse operations and distribution centres. In a typical warehouse operation, order picking contributes more than half percentage of the operating costs. Order picking is a benchmark in measuring the performance and productivity improvement of any warehouse management. Solving order picking problem is crucial in reducing response time and waiting time of a customer in receiving his demands. To reduce the response time, proper routing for picking orders is vital. Moreover, in production line, it is vital to always make sure the supplies arrive on time. Hence, a sample routing network will be applied on EP Manufacturing Berhad (EPMB) as a case study. The Dijkstra's algorithm and Dynamic Programming method are applied to find the shortest distance for an order picker in order picking. The results show that the Dynamic programming method is a simple yet competent approach in finding the shortest distance to pick an order that is applicable in a warehouse within a short time period.

  3. An online analytical processing multi-dimensional data warehouse for malaria data

    PubMed Central

    Madey, Gregory R; Vyushkov, Alexander; Raybaud, Benoit; Burkot, Thomas R; Collins, Frank H

    2017-01-01

    Abstract Malaria is a vector-borne disease that contributes substantially to the global burden of morbidity and mortality. The management of malaria-related data from heterogeneous, autonomous, and distributed data sources poses unique challenges and requirements. Although online data storage systems exist that address specific malaria-related issues, a globally integrated online resource to address different aspects of the disease does not exist. In this article, we describe the design, implementation, and applications of a multi-dimensional, online analytical processing data warehouse, named the VecNet Data Warehouse (VecNet-DW). It is the first online, globally-integrated platform that provides efficient search, retrieval and visualization of historical, predictive, and static malaria-related data, organized in data marts. Historical and static data are modelled using star schemas, while predictive data are modelled using a snowflake schema. The major goals, characteristics, and components of the DW are described along with its data taxonomy and ontology, the external data storage systems and the logical modelling and physical design phases. Results are presented as screenshots of a Dimensional Data browser, a Lookup Tables browser, and a Results Viewer interface. The power of the DW emerges from integrated querying of the different data marts and structuring those queries to the desired dimensions, enabling users to search, view, analyse, and store large volumes of aggregated data, and responding better to the increasing demands of users. Database URL https://dw.vecnet.org/datawarehouse/ PMID:29220463

  4. Development of hospital data warehouse for cost analysis of DPC based on medical costs.

    PubMed

    Muranaga, F; Kumamoto, I; Uto, Y

    2007-01-01

    To develop a data warehouse system for cost analysis, based on the categories of the diagnosis procedure combination (DPC) system, in which medical costs were estimated by DPC category and factors influencing the balance between costs and fees. We developed a data warehouse system for cost analysis using data from the hospital central data warehouse system. The balance data of patients who were discharged from Kagoshima University Hospital from April 2003 to March 2005 were determined in terms of medical procedure, cost per day and patient admission in order to conduct a drill-down analysis. To evaluate this system, we analyzed cash flow by DPC category of patients who were categorized as having malignant tumors and whose DPC category was reevaluated in 2004. The percentages of medical expenses were highest in patients with acute leukemia, non-Hodgkin's lymphoma, and particularly in patients with malignant tumors of the liver and intrahepatic bile duct. Imaging tests degraded the percentages of medical expenses in Kagoshima University Hospital. These results suggested that cost analysis by patient is important for hospital administration in the inclusive evaluation system using a case-mix index such as DPC.

  5. DICOM Data Warehouse: Part 2.

    PubMed

    Langer, Steve G

    2016-06-01

    In 2010, the DICOM Data Warehouse (DDW) was launched as a data warehouse for DICOM meta-data. Its chief design goals were to have a flexible database schema that enabled it to index standard patient and study information, modality specific tags (public and private), and create a framework to derive computable information (derived tags) from the former items. Furthermore, it was to map the above information to an internally standard lexicon that enables a non-DICOM savvy programmer to write standard SQL queries and retrieve the equivalent data from a cohort of scanners, regardless of what tag that data element was found in over the changing epochs of DICOM and ensuing migration of elements from private to public tags. After 5 years, the original design has scaled astonishingly well. Very little has changed in the database schema. The knowledge base is now fluent in over 90 device types. Also, additional stored procedures have been written to compute data that is derivable from standard or mapped tags. Finally, an early concern is that the system would not be able to address the variability DICOM-SR objects has been addressed. As of this writing the system is indexing 300 MR, 600 CT, and 2000 other (XA, DR, CR, MG) imaging studies per day. The only remaining issue to be solved is the case for tags that were not prospectively indexed-and indeed, this final challenge may lead to a noSQL, big data, approach in a subsequent version.

  6. CHOmine: an integrated data warehouse for CHO systems biology and modeling

    PubMed Central

    Hanscho, Michael; Ruckerbauer, David E.; Zanghellini, Jürgen; Borth, Nicole

    2017-01-01

    Abstract The last decade has seen a surge in published genome-scale information for Chinese hamster ovary (CHO) cells, which are the main production vehicles for therapeutic proteins. While a single access point is available at www.CHOgenome.org, the primary data is distributed over several databases at different institutions. Currently research is frequently hampered by a plethora of gene names and IDs that vary between published draft genomes and databases making systems biology analyses cumbersome and elaborate. Here we present CHOmine, an integrative data warehouse connecting data from various databases and links to other ones. Furthermore, we introduce CHOmodel, a web based resource that provides access to recently published CHO cell line specific metabolic reconstructions. Both resources allow to query CHO relevant data, find interconnections between different types of data and thus provides a simple, standardized entry point to the world of CHO systems biology. Database URL: http://www.chogenome.org PMID:28605771

  7. CHOmine: an integrated data warehouse for CHO systems biology and modeling.

    PubMed

    Gerstl, Matthias P; Hanscho, Michael; Ruckerbauer, David E; Zanghellini, Jürgen; Borth, Nicole

    2017-01-01

    The last decade has seen a surge in published genome-scale information for Chinese hamster ovary (CHO) cells, which are the main production vehicles for therapeutic proteins. While a single access point is available at www.CHOgenome.org, the primary data is distributed over several databases at different institutions. Currently research is frequently hampered by a plethora of gene names and IDs that vary between published draft genomes and databases making systems biology analyses cumbersome and elaborate. Here we present CHOmine, an integrative data warehouse connecting data from various databases and links to other ones. Furthermore, we introduce CHOmodel, a web based resource that provides access to recently published CHO cell line specific metabolic reconstructions. Both resources allow to query CHO relevant data, find interconnections between different types of data and thus provides a simple, standardized entry point to the world of CHO systems biology. http://www.chogenome.org. © The Author(s) 2017. Published by Oxford University Press.

  8. Atlas - a data warehouse for integrative bioinformatics.

    PubMed

    Shah, Sohrab P; Huang, Yong; Xu, Tao; Yuen, Macaire M S; Ling, John; Ouellette, B F Francis

    2005-02-21

    We present a biological data warehouse called Atlas that locally stores and integrates biological sequences, molecular interactions, homology information, functional annotations of genes, and biological ontologies. The goal of the system is to provide data, as well as a software infrastructure for bioinformatics research and development. The Atlas system is based on relational data models that we developed for each of the source data types. Data stored within these relational models are managed through Structured Query Language (SQL) calls that are implemented in a set of Application Programming Interfaces (APIs). The APIs include three languages: C++, Java, and Perl. The methods in these API libraries are used to construct a set of loader applications, which parse and load the source datasets into the Atlas database, and a set of toolbox applications which facilitate data retrieval. Atlas stores and integrates local instances of GenBank, RefSeq, UniProt, Human Protein Reference Database (HPRD), Biomolecular Interaction Network Database (BIND), Database of Interacting Proteins (DIP), Molecular Interactions Database (MINT), IntAct, NCBI Taxonomy, Gene Ontology (GO), Online Mendelian Inheritance in Man (OMIM), LocusLink, Entrez Gene and HomoloGene. The retrieval APIs and toolbox applications are critical components that offer end-users flexible, easy, integrated access to this data. We present use cases that use Atlas to integrate these sources for genome annotation, inference of molecular interactions across species, and gene-disease associations. The Atlas biological data warehouse serves as data infrastructure for bioinformatics research and development. It forms the backbone of the research activities in our laboratory and facilitates the integration of disparate, heterogeneous biological sources of data enabling new scientific inferences. Atlas achieves integration of diverse data sets at two levels. First, Atlas stores data of similar types using common data

  9. Automated Traffic Management System and Method

    NASA Technical Reports Server (NTRS)

    Glass, Brian J. (Inventor); Spirkovska, Liljana (Inventor); McDermott, William J. (Inventor); Reisman, Ronald J. (Inventor); Gibson, James (Inventor); Iverson, David L. (Inventor)

    2000-01-01

    A data management system and method that enables acquisition, integration, and management of real-time data generated at different rates, by multiple heterogeneous incompatible data sources. The system achieves this functionality by using an expert system to fuse data from a variety of airline, airport operations, ramp control, and air traffic control tower sources, to establish and update reference data values for every aircraft surface operation. The system may be configured as a real-time airport surface traffic management system (TMS) that electronically interconnects air traffic control, airline data, and airport operations data to facilitate information sharing and improve taxi queuing. In the TMS operational mode, empirical data shows substantial benefits in ramp operations for airlines, reducing departure taxi times by about one minute per aircraft in operational use, translating as $12 to $15 million per year savings to airlines at the Atlanta, Georgia airport. The data management system and method may also be used for scheduling the movement of multiple vehicles in other applications, such as marine vessels in harbors and ports, trucks or railroad cars in ports or shipping yards, and railroad cars in switching yards. Finally, the data management system and method may be used for managing containers at a shipping dock, stock on a factory floor or in a warehouse, or as a training tool for improving situational awareness of FAA tower controllers, ramp and airport operators, or commercial airline personnel in airfield surface operations.

  10. 10. WEST FRONT AND SOUTH SIDE OF WAREHOUSE. VIEW TO ...

    Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

    10. WEST FRONT AND SOUTH SIDE OF WAREHOUSE. VIEW TO NORTH. - Commercial & Industrial Buildings, International Harvester Company Showroom, Office & Warehouse, 10 South Main Street, Dubuque, Dubuque County, IA

  11. 17. SECOND FLOOR WAREHOUSE SPACE, SHOWING COLUMN AND BEAM CONNECTION. ...

    Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

    17. SECOND FLOOR WAREHOUSE SPACE, SHOWING COLUMN AND BEAM CONNECTION. VIEW TO NORTHEAST. - Commercial & Industrial Buildings, Dubuque Seed Company Warehouse, 169-171 Iowa Street, Dubuque, Dubuque County, IA

  12. 19. DETAIL OF FIRST FLOOR WAREHOUSE, SHOWING ROOF TRUSS. VIEW ...

    Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

    19. DETAIL OF FIRST FLOOR WAREHOUSE, SHOWING ROOF TRUSS. VIEW TO EAST. - Commercial & Industrial Buildings, International Harvester Company Showroom, Office & Warehouse, 10 South Main Street, Dubuque, Dubuque County, IA

  13. 27 CFR 46.236 - Articles in a warehouse.

    Code of Federal Regulations, 2010 CFR

    2010-04-01

    ... 27 Alcohol, Tobacco Products and Firearms 2 2010-04-01 2010-04-01 false Articles in a warehouse... Tubes Held for Sale on April 1, 2009 Filing Requirements § 46.236 Articles in a warehouse. (a) Articles... articles will be offered for sale. (b) Articles offered for sale at several locations must be reported on a...

  14. 27 CFR 46.236 - Articles in a warehouse.

    Code of Federal Regulations, 2011 CFR

    2011-04-01

    ... 27 Alcohol, Tobacco Products and Firearms 2 2011-04-01 2011-04-01 false Articles in a warehouse... Tubes Held for Sale on April 1, 2009 Filing Requirements § 46.236 Articles in a warehouse. (a) Articles... articles will be offered for sale. (b) Articles offered for sale at several locations must be reported on a...

  15. 27 CFR 46.236 - Articles in a warehouse.

    Code of Federal Regulations, 2013 CFR

    2013-04-01

    ... 27 Alcohol, Tobacco Products and Firearms 2 2013-04-01 2013-04-01 false Articles in a warehouse... Tubes Held for Sale on April 1, 2009 Filing Requirements § 46.236 Articles in a warehouse. (a) Articles... articles will be offered for sale. (b) Articles offered for sale at several locations must be reported on a...

  16. 27 CFR 46.236 - Articles in a warehouse.

    Code of Federal Regulations, 2012 CFR

    2012-04-01

    ... 27 Alcohol, Tobacco Products and Firearms 2 2012-04-01 2011-04-01 true Articles in a warehouse. 46... Tubes Held for Sale on April 1, 2009 Filing Requirements § 46.236 Articles in a warehouse. (a) Articles... articles will be offered for sale. (b) Articles offered for sale at several locations must be reported on a...

  17. 27 CFR 46.236 - Articles in a warehouse.

    Code of Federal Regulations, 2014 CFR

    2014-04-01

    ... 27 Alcohol, Tobacco Products and Firearms 2 2014-04-01 2014-04-01 false Articles in a warehouse... Tubes Held for Sale on April 1, 2009 Filing Requirements § 46.236 Articles in a warehouse. (a) Articles... articles will be offered for sale. (b) Articles offered for sale at several locations must be reported on a...

  18. 11. SOUTH SIDE OF WAREHOUSE, WITH LOADING DOCK IN FOREGROUND. ...

    Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

    11. SOUTH SIDE OF WAREHOUSE, WITH LOADING DOCK IN FOREGROUND. VIEW TO NORTHWEST. - Commercial & Industrial Buildings, International Harvester Company Showroom, Office & Warehouse, 10 South Main Street, Dubuque, Dubuque County, IA

  19. View of steel warehouses, building 710 north sidewalk; camera facing ...

    Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

    View of steel warehouses, building 710 north sidewalk; camera facing east. - Naval Supply Annex Stockton, Steel Warehouse Type, Between James & Humphreys Drives south of Embarcadero, Stockton, San Joaquin County, CA

  20. Rapid prototyping strategy for a surgical data warehouse.

    PubMed

    Tang, S-T; Huang, Y-F; Hsiao, M-L; Yang, S-H; Young, S-T

    2003-01-01

    Healthcare processes typically generate an enormous volume of patient information. This information largely represents unexploited knowledge, since current hospital operational systems (e.g., HIS, RIS) are not suitable for knowledge exploitation. Data warehousing provides an attractive method for solving these problems, but the process is very complicated. This study presents a novel strategy for effectively implementing a healthcare data warehouse. This study adopted the rapid prototyping (RP) method, which involves intensive interactions. System developers and users were closely linked throughout the life cycle of the system development. The presence of iterative RP loops meant that the system requirements were increasingly integrated and problems were gradually solved, such that the prototype system evolved into the final operational system. The results were analyzed by monitoring the series of iterative RP loops. First a definite workflow for ensuring data completeness was established, taking a patient-oriented viewpoint when collecting the data. Subsequently the system architecture was determined for data retrieval, storage, and manipulation. This architecture also clarifies the relationships among the novel system and legacy systems. Finally, a graphic user interface for data presentation was implemented. Our results clearly demonstrate the potential for adopting an RP strategy in the successful establishment of a healthcare data warehouse. The strategy can be modified and expanded to provide new services or support new application domains. The design patterns and modular architecture used in the framework will be useful in solving problems in different healthcare domains.

  1. 6. Cement and Plaster Warehouse, interior. View looking south. Original ...

    Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

    6. Cement and Plaster Warehouse, interior. View looking south. Original wood roof truss can be seen at upper left. - Curtis Wharf, Cement & Plaster Warehouse, O & Second Streets, Anacortes, Skagit County, WA

  2. 4. Cement and Plaster Warehouse, southeast corner, showing alterations; pent ...

    Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

    4. Cement and Plaster Warehouse, southeast corner, showing alterations; pent roof, window and door openings, siding, brick foundation sheathing. - Curtis Wharf, Cement & Plaster Warehouse, O & Second Streets, Anacortes, Skagit County, WA

  3. 3. Cement and Plaster Warehouse, north facade. Loading ramp on ...

    Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

    3. Cement and Plaster Warehouse, north facade. Loading ramp on the right. Utility building, intrusion, on the far right. - Curtis Wharf, Cement & Plaster Warehouse, O & Second Streets, Anacortes, Skagit County, WA

  4. 9. INTERIOR, WAREHOUSE SPACE AT EAST END OF BUILDING, CAMERA ...

    Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

    9. INTERIOR, WAREHOUSE SPACE AT EAST END OF BUILDING, CAMERA FACING NORTHEAST. - U.S. Coast Guard Support Center Alameda, Warehouse, Spencer Road & Icarrus Drive, Coast Guard Island, Alameda, Alameda County, CA

  5. Data warehousing in disease management programs.

    PubMed

    Ramick, D C

    2001-01-01

    Disease management programs offer the benefits of lower disease occurrence, improved patient care, and lower healthcare costs. In such programs, the key mechanism used to identify individuals at risk for targeted diseases is the data warehouse. This article surveys recent warehousing techniques from HMOs to map out critical issues relating to the preparation, design, and implementation of a successful data warehouse. Discussions of scope, data cleansing, and storage management are included in depicting warehouse preparation and design; data implementation options are contrasted. Examples are provided of data warehouse execution in disease management programs that identify members with preexisting illnesses, as well as those exhibiting high-risk conditions. The proper deployment of successful data warehouses in disease management programs benefits both the organization and the member. Organizations benefit from decreased medical costs; members benefit through an improved quality of life through disease-specific care.

  6. 12. EAST REAR OF OFFICE BUILDING (RIGHT FOREGROUND) AND WAREHOUSE ...

    Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

    12. EAST REAR OF OFFICE BUILDING (RIGHT FOREGROUND) AND WAREHOUSE (LEFT BACKGROUND). VIEW TO SOUTH. - Commercial & Industrial Buildings, International Harvester Company Showroom, Office & Warehouse, 10 South Main Street, Dubuque, Dubuque County, IA

  7. View of steel warehouses (building 710 second in on right); ...

    Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

    View of steel warehouses (building 710 second in on right); camera facing south. - Naval Supply Annex Stockton, Steel Warehouse Type, Between James & Humphreys Drives south of Embarcadero, Stockton, San Joaquin County, CA

  8. View of steel warehouses (building 710 second in on left); ...

    Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

    View of steel warehouses (building 710 second in on left); camera facing west. - Naval Supply Annex Stockton, Steel Warehouse Type, Between James & Humphreys Drives south of Embarcadero, Stockton, San Joaquin County, CA

  9. Finding patients using similarity measures in a rare diseases-oriented clinical data warehouse: Dr. Warehouse and the needle in the needle stack.

    PubMed

    Garcelon, Nicolas; Neuraz, Antoine; Benoit, Vincent; Salomon, Rémi; Kracker, Sven; Suarez, Felipe; Bahi-Buisson, Nadia; Hadj-Rabia, Smail; Fischer, Alain; Munnich, Arnold; Burgun, Anita

    2017-09-01

    In the context of rare diseases, it may be helpful to detect patients with similar medical histories, diagnoses and outcomes from a large number of cases with automated methods. To reduce the time to find new cases, we developed a method to find similar patients given an index case leveraging data from the electronic health records. We used the clinical data warehouse of a children academic hospital in Paris, France (Necker-Enfants Malades), containing about 400,000 patients. Our model was based on a vector space model (VSM) to compute the similarity distance between an index patient and all the patients of the data warehouse. The dimensions of the VSM were built upon Unified Medical Language System concepts extracted from clinical narratives stored in the clinical data warehouse. The VSM was enhanced using three parameters: a pertinence score (TF-IDF of the concepts), the polarity of the concept (negated/not negated) and the minimum number of concepts in common. We evaluated this model by displaying the most similar patients for five different rare diseases: Lowe Syndrome (LOWE), Dystrophic Epidermolysis Bullosa (DEB), Activated PI3K delta Syndrome (APDS), Rett Syndrome (RETT) and Dowling Meara (EBS-DM), from the clinical data warehouse representing 18, 103, 21, 84 and 7 patients respectively. The percentages of index patients returning at least one true positive similar patient in the Top30 similar patients were 94% for LOWE, 97% for DEB, 86% for APDS, 71% for EBS-DM and 99% for RETT. The mean number of patients with the exact same genetic diseases among the 30 returned patients was 51%. This tool offers new perspectives in a translational context to identify patients for genetic research. Moreover, when new molecular bases are discovered, our strategy will help to identify additional eligible patients for genetic screening. Copyright © 2017. Published by Elsevier Inc.

  10. 2. View looking northeast at Dixie Cotton Mill warehouses. Note ...

    Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

    2. View looking northeast at Dixie Cotton Mill warehouses. Note firestops between sections of the building to prevent fire from spreading. - Dixie Cotton Mill, Warehouses, 710 Greenville Street, La Grange, Troup County, GA

  11. 6. GENERAL WAREHOUSE, VIEW TO EAST SHOWING DETAIL OF ELEVATOR ...

    Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

    6. GENERAL WAREHOUSE, VIEW TO EAST SHOWING DETAIL OF ELEVATOR DOOR (CENTER), FLANKING PEDESTRIAN ENTRIES, AND LOADING DOCK. - Rosie the Riveter National Historical Park, General Warehouse, 1320 Canal Boulevard, Richmond, Contra Costa County, CA

  12. View of steel warehouses (from left: building 807, 808, 809, ...

    Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

    View of steel warehouses (from left: building 807, 808, 809, 810, 811); camera facing east. - Naval Supply Annex Stockton, Steel Warehouse Type, Between James & Humphreys Drives south of Embarcadero, Stockton, San Joaquin County, CA

  13. [Construction and realization of real world integrated data warehouse from HIS on re-evaluation of post-maketing traditional Chinese medicine].

    PubMed

    Zhuang, Yan; Xie, Bangtie; Weng, Shengxin; Xie, Yanming

    2011-10-01

    To construct real world integrated data warehouse on re-evaluation of post-marketing traditional Chinese medicine for the research on key techniques of clinic re-evaluation which mainly includes indication of traditional Chinese medicine, dosage usage, course of treatment, unit medication, combined disease and adverse reaction, which provides data for reviewed research on its safety,availability and economy,and provides foundation for perspective research. The integrated data warehouse extracts and integrate data from HIS by information collection system and data warehouse technique and forms standard structure and data. The further research is on process based on the data. A data warehouse and several sub data warehouses were built, which focused on patients' main records, doctor orders, diseases diagnoses, laboratory results and economic indications in hospital. These data warehouses can provide research data for re-evaluation of post-marketing traditional Chinese medicine, and it has clinical value. Besides, it points out the direction for further research.

  14. View of steel warehouses at Gilmore Avenue (building 710 second ...

    Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

    View of steel warehouses at Gilmore Avenue (building 710 second in on left); camera facing east. - Naval Supply Annex Stockton, Steel Warehouse Type, Between James & Humphreys Drives south of Embarcadero, Stockton, San Joaquin County, CA

  15. View of steel warehouses on Ellsberg Drive, building 710 full ...

    Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

    View of steel warehouses on Ellsberg Drive, building 710 full building at center; camera facing southeast. - Naval Supply Annex Stockton, Steel Warehouse Type, Between James & Humphreys Drives south of Embarcadero, Stockton, San Joaquin County, CA

  16. Application of semi-active RFID power meter in automatic verification pipeline and intelligent storage system

    NASA Astrophysics Data System (ADS)

    Chen, Xiangqun; Huang, Rui; Shen, Liman; chen, Hao; Xiong, Dezhi; Xiao, Xiangqi; Liu, Mouhai; Xu, Renheng

    2018-03-01

    In this paper, the semi-active RFID watt-hour meter is applied to automatic test lines and intelligent warehouse management, from the transmission system, test system and auxiliary system, monitoring system, realize the scheduling of watt-hour meter, binding, control and data exchange, and other functions, make its more accurate positioning, high efficiency of management, update the data quickly, all the information at a glance. Effectively improve the quality, efficiency and automation of verification, and realize more efficient data management and warehouse management.

  17. 11. AFRD WAREHOUSE, INTERIOR DETAIL OF RAFTER SUPPORT POST TIMBER ...

    Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

    11. AFRD WAREHOUSE, INTERIOR DETAIL OF RAFTER SUPPORT POST TIMBER AND METHOD OF BRACING. THE BRACES PENETRATE THE SHEET ROCK, SUGGESTING THAT THESE ARE ORIGINAL. - Minidoka Relocation Center Warehouse, 111 South Fir Street, Shoshone, Lincoln County, ID

  18. 1. Cold Storage Warehouse, east facade. Northeast corner of the ...

    Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

    1. Cold Storage Warehouse, east facade. Northeast corner of the north facade of the Ice Plant is visible on the left. Far left, the Creamery. - Curtis Wharf, Cold Storage Warehouse, O & Second Streets, Anacortes, Skagit County, WA

  19. Photocopy of drawing (original drawing of Signal & Ordnance Warehouse ...

    Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

    Photocopy of drawing (original drawing of Signal & Ordnance Warehouse in possession of MacDill Air Force Base, Civil Engineering, Tampa, Florida; 1940 architectural drawings by Construction Division, Office of the Quartermaster General)TRUSS DETAILS - MacDill Air Force Base, Signal & Ordnance Warehouse, 7620 Hanger Loop Drive, Tampa, Hillsborough County, FL

  20. Photocopy of drawing (original drawing of Signal & Ordnance Warehouse ...

    Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

    Photocopy of drawing (original drawing of Signal & Ordnance Warehouse in possession of MacDill Air Force Base, Civil Engineering, Tampa, Florida; 1940 architectural drawings by Construction Division, Office of the Quartermaster General) SECTIONS AND DETAILS - MacDill Air Force Base, Signal & Ordnance Warehouse, 7620 Hanger Loop Drive, Tampa, Hillsborough County, FL

  1. Photocopy of drawing (original drawing of Signal & Ordnance Warehouse ...

    Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

    Photocopy of drawing (original drawing of Signal & Ordnance Warehouse in possession of MacDill Air Force Base, Civil Engineering, Tampa, Florida; 1940 architectural drawings by Construction Division, Office of the Quartermaster General) PLANS, ELEVATIONS, SECTIONS AND DETAILS - MacDill Air Force Base, Signal & Ordnance Warehouse, 7620 Hanger Loop Drive, Tampa, Hillsborough County, FL

  2. 76 FR 28801 - Agency Information Collection Activities: Bonded Warehouse Regulations

    Federal Register 2010, 2011, 2012, 2013, 2014

    2011-05-18

    ... Activities: Bonded Warehouse Regulations AGENCY: U.S. Customs and Border Protection, Department of Homeland... (OMB) for review and approval in accordance with the Paperwork Reduction Act: Bonded Warehouse... appropriate automated, electronic, mechanical, or other technological techniques or other forms of information...

  3. 3. Interior view of section of warehouse building now used ...

    Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

    3. Interior view of section of warehouse building now used as an opening room. 'Unifloc' machine manufactured by Rieter opens and blends cotton from several bales before processing. - Dixie Cotton Mill, Warehouses, 710 Greenville Street, La Grange, Troup County, GA

  4. Atlas – a data warehouse for integrative bioinformatics

    PubMed Central

    Shah, Sohrab P; Huang, Yong; Xu, Tao; Yuen, Macaire MS; Ling, John; Ouellette, BF Francis

    2005-01-01

    Background We present a biological data warehouse called Atlas that locally stores and integrates biological sequences, molecular interactions, homology information, functional annotations of genes, and biological ontologies. The goal of the system is to provide data, as well as a software infrastructure for bioinformatics research and development. Description The Atlas system is based on relational data models that we developed for each of the source data types. Data stored within these relational models are managed through Structured Query Language (SQL) calls that are implemented in a set of Application Programming Interfaces (APIs). The APIs include three languages: C++, Java, and Perl. The methods in these API libraries are used to construct a set of loader applications, which parse and load the source datasets into the Atlas database, and a set of toolbox applications which facilitate data retrieval. Atlas stores and integrates local instances of GenBank, RefSeq, UniProt, Human Protein Reference Database (HPRD), Biomolecular Interaction Network Database (BIND), Database of Interacting Proteins (DIP), Molecular Interactions Database (MINT), IntAct, NCBI Taxonomy, Gene Ontology (GO), Online Mendelian Inheritance in Man (OMIM), LocusLink, Entrez Gene and HomoloGene. The retrieval APIs and toolbox applications are critical components that offer end-users flexible, easy, integrated access to this data. We present use cases that use Atlas to integrate these sources for genome annotation, inference of molecular interactions across species, and gene-disease associations. Conclusion The Atlas biological data warehouse serves as data infrastructure for bioinformatics research and development. It forms the backbone of the research activities in our laboratory and facilitates the integration of disparate, heterogeneous biological sources of data enabling new scientific inferences. Atlas achieves integration of diverse data sets at two levels. First, Atlas stores data of

  5. 4. AFRD WAREHOUSE, WEST SIDE DETAIL OF ALTERED SLIDING DOORS, ...

    Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

    4. AFRD WAREHOUSE, WEST SIDE DETAIL OF ALTERED SLIDING DOORS, FACING EAST. WEATHER COVER OVER RAIL IS ORIGINAL. SHEET METAL SIDING HAS BEEN INSERTED BETWEEN TWO HALVES OF SLIDING DOORS. - Minidoka Relocation Center Warehouse, 111 South Fir Street, Shoshone, Lincoln County, ID

  6. 7 CFR 1421.106 - Warehouse-stored marketing assistance loan collateral.

    Code of Federal Regulations, 2012 CFR

    2012-01-01

    ... 7 Agriculture 10 2012-01-01 2012-01-01 false Warehouse-stored marketing assistance loan collateral... SIMILARLY HANDLED COMMODITIES-MARKETING ASSISTANCE LOANS AND LOAN DEFICIENCY PAYMENTS FOR 2008 THROUGH 2012 Marketing Assistance Loans § 1421.106 Warehouse-stored marketing assistance loan collateral. (a) A commodity...

  7. 7 CFR 1421.106 - Warehouse-stored marketing assistance loan collateral.

    Code of Federal Regulations, 2013 CFR

    2013-01-01

    ... 7 Agriculture 10 2013-01-01 2013-01-01 false Warehouse-stored marketing assistance loan collateral... SIMILARLY HANDLED COMMODITIES-MARKETING ASSISTANCE LOANS AND LOAN DEFICIENCY PAYMENTS FOR 2008 THROUGH 2012 Marketing Assistance Loans § 1421.106 Warehouse-stored marketing assistance loan collateral. (a) A commodity...

  8. 7 CFR 1421.106 - Warehouse-stored marketing assistance loan collateral.

    Code of Federal Regulations, 2014 CFR

    2014-01-01

    ... 7 Agriculture 10 2014-01-01 2014-01-01 false Warehouse-stored marketing assistance loan collateral... SIMILARLY HANDLED COMMODITIES-MARKETING ASSISTANCE LOANS AND LOAN DEFICIENCY PAYMENTS FOR 2008 THROUGH 2012 Marketing Assistance Loans § 1421.106 Warehouse-stored marketing assistance loan collateral. (a) A commodity...

  9. Data Delivery and Mapping Over the Web: National Water-Quality Assessment Data Warehouse

    USGS Publications Warehouse

    Bell, Richard W.; Williamson, Alex K.

    2006-01-01

    The U.S. Geological Survey began its National Water-Quality Assessment (NAWQA) Program in 1991, systematically collecting chemical, biological, and physical water-quality data from study units (basins) across the Nation. In 1999, the NAWQA Program developed a data warehouse to better facilitate national and regional analysis of data from 36 study units started in 1991 and 1994. Data from 15 study units started in 1997 were added to the warehouse in 2001. The warehouse currently contains and links the following data: -- Chemical concentrations in water, sediment, and aquatic-organism tissues and related quality-control data from the USGS National Water Information System (NWIS), -- Biological data for stream-habitat and ecological-community data on fish, algae, and benthic invertebrates, -- Site, well, and basin information associated with thousands of descriptive variables derived from spatial analysis, like land use, soil, and population density, and -- Daily streamflow and temperature information from NWIS for selected sampling sites.

  10. 75 FR 3919 - Privacy Act of 1974; as Amended; Notice To Amend an Existing System of Records

    Federal Register 2010, 2011, 2012, 2013, 2014

    2010-01-25

    ... Manager (ORSO). Data from the current TSIS (Unix-based) version are integrated into a data warehouse with... (where provided). The TSIS data warehouse database is only available to the system developer, and... available from the warehouse data do not contain Personally Identifiable Information (PII). Of the few...

  11. Naval Surface Forces Real-Time Reutilization Asset Management Warehouses: A Cost-Benefit Analysis

    DTIC Science & Technology

    2008-12-01

    shared their valuable insights. And finally, to our advisors Dr . Ken Euske and CDR Brett Wagner who kept us on track throughout the project. Nick could...of $206,368,657. SURFOR’s East and West Coast warehouses accounted for $146,975,108 of the list value. The team identified potential cost...obligating the funds. A relatively simple cost benefit analysis of the reprogramming costs versus the cost savings would justify the expense. In the

  12. 19 CFR 19.14 - Materials for use in manufacturing warehouse.

    Code of Federal Regulations, 2010 CFR

    2010-04-01

    ...; DEPARTMENT OF THE TREASURY CUSTOMS WAREHOUSES, CONTAINER STATIONS AND CONTROL OF MERCHANDISE THEREIN... statistical information as provided in § 141.61(e) of this chapter. If the merchandise has been imported or... report this information for each warehouse entry represented in the manufacturing process. [28 FR 14763...

  13. Data Warehouse Discovery Framework: The Case Study

    NASA Astrophysics Data System (ADS)

    Apanowicz, Cas

    The cost of building an Enterprise Data Warehouse Environment runs usually in millions of dollars and takes years to complete. Even bigger than cost is the risk that all the design and development of the Data Warehouse and Business Intelligence Environment may not bring the result expected by the user. This was the main incentive behind author's effort of laying down the foundation for new methodology called Data Warehouse Discovery [1]. The foundation met with acceptance by some scientific groups on one hand and industry interest on the other. At that point, the author faced a major challenge. In order to get industry full acceptance as viable tool for the development and maintenance of a robust DW/BI environment, an actual implementation of the methodology in production was necessary. The DW/BI Strategy and Design Project that author was just conducting for the Canadian Federal Government was a perfect opportunity to propose and implement the methodology. This paper is presenting the conduct and results of that business case.

  14. 14. DETAIL OF SOUTHWEST FRONT OF WAREHOUSE, SHOWING CORRUGATED PLASTER/ASBESTOS ...

    Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

    14. DETAIL OF SOUTHWEST FRONT OF WAREHOUSE, SHOWING CORRUGATED PLASTER/ASBESTOS WALLS, WINDOWS AND ROOF. VIEW TO NORTHEAST. - Commercial & Industrial Buildings, International Harvester Company Showroom, Office & Warehouse, 10 South Main Street, Dubuque, Dubuque County, IA

  15. Real-time high-level video understanding using data warehouse

    NASA Astrophysics Data System (ADS)

    Lienard, Bruno; Desurmont, Xavier; Barrie, Bertrand; Delaigle, Jean-Francois

    2006-02-01

    High-level Video content analysis such as video-surveillance is often limited by computational aspects of automatic image understanding, i.e. it requires huge computing resources for reasoning processes like categorization and huge amount of data to represent knowledge of objects, scenarios and other models. This article explains how to design and develop a "near real-time adaptive image datamart", used, as a decisional support system for vision algorithms, and then as a mass storage system. Using RDF specification as storing format of vision algorithms meta-data, we can optimise the data warehouse concepts for video analysis, add some processes able to adapt the current model and pre-process data to speed-up queries. In this way, when new data is sent from a sensor to the data warehouse for long term storage, using remote procedure call embedded in object-oriented interfaces to simplified queries, they are processed and in memory data-model is updated. After some processing, possible interpretations of this data can be returned back to the sensor. To demonstrate this new approach, we will present typical scenarios applied to this architecture such as people tracking and events detection in a multi-camera network. Finally we will show how this system becomes a high-semantic data container for external data-mining.

  16. A Data Warehouse Architecture for DoD Healthcare Performance Measurements.

    DTIC Science & Technology

    1999-09-01

    design, develop, implement, and apply statistical analysis and data mining tools to a Data Warehouse of healthcare metrics. With the DoD healthcare...framework, this thesis defines a methodology to design, develop, implement, and apply statistical analysis and data mining tools to a Data Warehouse...21 F. INABILITY TO CONDUCT HELATHCARE ANALYSIS

  17. 7 CFR 1421.106 - Warehouse-stored marketing assistance loan collateral.

    Code of Federal Regulations, 2011 CFR

    2011-01-01

    ... indicating that: (1) Storage charges through the maturity date have been prepaid; or (2) The producer has... commodity stored in an approved warehouse shall be the later of the following: (1) The date the commodity was received or deposited in the warehouse; (2) The date the storage charges start; or (3) The day...

  18. Photocopy of drawing (original drawing of Q.M. Warehouse & Commissary ...

    Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

    Photocopy of drawing (original drawing of Q.M. Warehouse & Commissary in possession of MacDill Air Force Base, Civil Engineering, Tampa, Florida; 1940 architectural drawings by Construction Division, Office of the Quartermaster General) END ELEVATION AND SECTIONS - MacDill Air Force Base, Quartermaster Warehouse & Commissary, 7621 Hillsborough Loop Drive, Tampa, Hillsborough County, FL

  19. Photocopy of drawing (original drawing of Q.M. Warehouse & Commissary ...

    Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

    Photocopy of drawing (original drawing of Q.M. Warehouse & Commissary in possession of MacDill Air Force Base, Civil Engineering, Tampa, Florida; 1940 architectural drawings by Construction Division, Office of the Quartermaster General) SECTIONS AND DETAILS - MacDill Air Force Base, Quartermaster Warehouse & Commissary, 7621 Hillsborough Loop Drive, Tampa, Hillsborough County, FL

  20. Photocopy of drawing (original drawing of Q.M. Warehouse & Commissary ...

    Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

    Photocopy of drawing (original drawing of Q.M. Warehouse & Commissary in possession of MacDill Air Force Base, Civil Engineering, Tampa, Florida; 1940 architectural drawings by Construction Division, Office of the Quartermaster General) FRONT AND REAR ELEVATIONS - MacDill Air Force Base, Quartermaster Warehouse & Commissary, 7621 Hillsborough Loop Drive, Tampa, Hillsborough County, FL

  1. Mass Storage Performance Information System

    NASA Technical Reports Server (NTRS)

    Scheuermann, Peter

    2000-01-01

    The purpose of this task is to develop a data warehouse to enable system administrators and their managers to gather information by querying the data logs of the MDSDS. Currently detailed logs capture the activity of the MDSDS internal to the different systems. The elements to be included in the data warehouse are requirements analysis, data cleansing, database design, database population, hardware/software acquisition, data transformation, query and report generation, and data mining.

  2. Credit BG. View looks southwest (236°) at the warehouse's southeast ...

    Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

    Credit BG. View looks southwest (236°) at the warehouse's southeast and northeast facades. This building retains its original World War II era materials and appearance - Edwards Air Force Base, North Base, Warehouse, Second & C Streets, Boron, Kern County, CA

  3. 8. AFRD WAREHOUSE, EAST SIDE DETAIL SHOWS CONNECTION OF LEANTO ...

    Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

    8. AFRD WAREHOUSE, EAST SIDE DETAIL SHOWS CONNECTION OF LEAN-TO TO WALL. FACING WEST. NOTE THE PROFILE OF THE METAL AWNING ON SOUTH SIDE. ELECTRICAL CONDUIT AND OTHER SERVICES PENETRATE WALL. POLE SECURED WITH TRIANGULAR BRACES AT CORNER IS COMMUNICATION POLE. - Minidoka Relocation Center Warehouse, 111 South Fir Street, Shoshone, Lincoln County, ID

  4. Photocopy of drawing (original drawing of Q.M. Warehouse & Commissary ...

    Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

    Photocopy of drawing (original drawing of Q.M. Warehouse & Commissary in possession of MacDill Air Force Base, Civil Engineering, Tampa, Florida; 1940 architectural drawings by Construction Division, Office of the Quartermaster General) FIRST FLOOR PLAN AND DOOR DETAILS - MacDill Air Force Base, Quartermaster Warehouse & Commissary, 7621 Hillsborough Loop Drive, Tampa, Hillsborough County, FL

  5. 77 FR 26024 - Agency Information Collection Activities: Bonded Warehouse Proprietor's Submission

    Federal Register 2010, 2011, 2012, 2013, 2014

    2012-05-02

    ... Activities: Bonded Warehouse Proprietor's Submission AGENCY: U.S. Customs and Border Protection, Department... Budget (OMB) for review and approval in accordance with the Paperwork Reduction Act: Bonded Warehouse... information on those who are to respond, including the use of appropriate automated, electronic, mechanical...

  6. 27 CFR 28.28 - Withdrawal of wine and distilled spirits from customs bonded warehouses.

    Code of Federal Regulations, 2010 CFR

    2010-04-01

    ... 27 Alcohol, Tobacco Products and Firearms 1 2010-04-01 2010-04-01 false Withdrawal of wine and... Miscellaneous Provisions Customs Bonded Warehouses § 28.28 Withdrawal of wine and distilled spirits from customs bonded warehouses. Wine and bottled distilled spirits entered into customs bonded warehouses as provided...

  7. 27 CFR 19.134 - Bonded warehouses not on premises qualified for production of spirits.

    Code of Federal Regulations, 2010 CFR

    2010-04-01

    ... depositors of spirits; (iii) Approximate number of persons to be served from the warehouse; and (iv) Data or... 27 Alcohol, Tobacco Products and Firearms 1 2010-04-01 2010-04-01 false Bonded warehouses not on... Location and Use § 19.134 Bonded warehouses not on premises qualified for production of spirits. (a...

  8. 78 FR 77662 - Notice of Availability (NOA) for General Purpose Warehouse and Information Technology Center...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-12-24

    ... (NOA) for General Purpose Warehouse and Information Technology Center Construction (GPW/IT)--Tracy Site.... ACTION: Notice of Availability (NOA) for General Purpose Warehouse and Information Technology Center... FR 65300) announcing the publication of the General Purpose Warehouse and Information Technology...

  9. 7 CFR 1427.16 - Movement and protection of warehouse-stored cotton.

    Code of Federal Regulations, 2012 CFR

    2012-01-01

    ... 7 Agriculture 10 2012-01-01 2012-01-01 false Movement and protection of warehouse-stored cotton... CREDIT CORPORATION, DEPARTMENT OF AGRICULTURE LOANS, PURCHASES, AND OTHER OPERATIONS COTTON Nonrecourse Cotton Loan and Loan Deficiency Payments § 1427.16 Movement and protection of warehouse-stored cotton. (a...

  10. 7 CFR 1427.16 - Movement and protection of warehouse-stored cotton.

    Code of Federal Regulations, 2014 CFR

    2014-01-01

    ... 7 Agriculture 10 2014-01-01 2014-01-01 false Movement and protection of warehouse-stored cotton... CREDIT CORPORATION, DEPARTMENT OF AGRICULTURE LOANS, PURCHASES, AND OTHER OPERATIONS COTTON Nonrecourse Cotton Loan and Loan Deficiency Payments § 1427.16 Movement and protection of warehouse-stored cotton. (a...

  11. 7 CFR 1427.16 - Movement and protection of warehouse-stored cotton.

    Code of Federal Regulations, 2011 CFR

    2011-01-01

    ... 7 Agriculture 10 2011-01-01 2011-01-01 false Movement and protection of warehouse-stored cotton... CREDIT CORPORATION, DEPARTMENT OF AGRICULTURE LOANS, PURCHASES, AND OTHER OPERATIONS COTTON Nonrecourse Cotton Loan and Loan Deficiency Payments § 1427.16 Movement and protection of warehouse-stored cotton. (a...

  12. 7 CFR 1427.16 - Movement and protection of warehouse-stored cotton.

    Code of Federal Regulations, 2010 CFR

    2010-01-01

    ... 7 Agriculture 10 2010-01-01 2010-01-01 false Movement and protection of warehouse-stored cotton... CREDIT CORPORATION, DEPARTMENT OF AGRICULTURE LOANS, PURCHASES, AND OTHER OPERATIONS COTTON Nonrecourse Cotton Loan and Loan Deficiency Payments § 1427.16 Movement and protection of warehouse-stored cotton. (a...

  13. 7 CFR 1427.16 - Movement and protection of warehouse-stored cotton.

    Code of Federal Regulations, 2013 CFR

    2013-01-01

    ... 7 Agriculture 10 2013-01-01 2013-01-01 false Movement and protection of warehouse-stored cotton... CREDIT CORPORATION, DEPARTMENT OF AGRICULTURE LOANS, PURCHASES, AND OTHER OPERATIONS COTTON Nonrecourse Cotton Loan and Loan Deficiency Payments § 1427.16 Movement and protection of warehouse-stored cotton. (a...

  14. Get Set! E-Ready, ... E-Learn! The E-Readiness of Warehouse Workers

    ERIC Educational Resources Information Center

    Moolman, Hermanus B.; Blignaut, Seugnet

    2008-01-01

    Modern organizations use technology to expand across traditional business zones and boundaries to survive the global commercial village. While IT systems allow organizations to maintain a competitive edge, South African unskilled labour performing warehouse operations are frequently retrained to keep abreast with Information Technology.…

  15. 48. MAIN WAREHOUSE THIRD LEVEL Elevator drive mechanism is ...

    Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

    48. MAIN WAREHOUSE - THIRD LEVEL Elevator drive mechanism is seen to the right, while drive wheels, belt wheels and chain drives are visible in the wooden wall framing. The horizontal metal conveyor (at the top of the wall Just under the inverted 'V' brace) is part of the empty can supply system connected to the external can conveyor. See Photo No. 28. - Hovden Cannery, 886 Cannery Row, Monterey, Monterey County, CA

  16. Controlling multiple security robots in a warehouse environment

    NASA Technical Reports Server (NTRS)

    Everett, H. R.; Gilbreath, G. A.; Heath-Pastore, T. A.; Laird, R. T.

    1994-01-01

    The Naval Command Control and Ocean Surveillance Center (NCCOSC) has developed an architecture to provide coordinated control of multiple autonomous vehicles from a single host console. The multiple robot host architecture (MRHA) is a distributed multiprocessing system that can be expanded to accommodate as many as 32 robots. The initial application will employ eight Cybermotion K2A Navmaster robots configured as remote security platforms in support of the Mobile Detection Assessment and Response System (MDARS) Program. This paper discusses developmental testing of the MRHA in an operational warehouse environment, with two actual and four simulated robotic platforms.

  17. Workplace exposures and protective practices of Hispanic warehouse workers.

    PubMed

    Livaudais, Jennifer C; Thompson, Beti; Islas, Ilda; Ibarra, Genoveva; Anderson, Jennifer; Coronado, Gloria D

    2009-04-01

    This study was undertaken to assess workplace hazards and protective practices among Hispanic men and women working post-harvest in asparagus, apple and pear packaging warehouses. Three focus groups were conducted in July 2003 with 25 workers (20 women, 5 men) recruited from communities in the Yakima Valley, Washington. Focus group content informed the design of an in-person structured interview administered to 50 additional warehouse workers from August to November 2006. Focus group participants reported difficult working conditions, exposure to chemicals, adverse health effects and use of work and home protective practices to minimize exposures for themselves and their families. Structured interview participants reported few workplace exposures to chemicals although many reported engaging in workplace and home protective practices. Findings from this research can direct initial efforts to determine if and how interventions for warehouse workers may be designed to protect against hazardous workplace exposures.

  18. Archetype-based data warehouse environment to enable the reuse of electronic health record data.

    PubMed

    Marco-Ruiz, Luis; Moner, David; Maldonado, José A; Kolstrup, Nils; Bellika, Johan G

    2015-09-01

    The reuse of data captured during health care delivery is essential to satisfy the demands of clinical research and clinical decision support systems. A main barrier for the reuse is the existence of legacy formats of data and the high granularity of it when stored in an electronic health record (EHR) system. Thus, we need mechanisms to standardize, aggregate, and query data concealed in the EHRs, to allow their reuse whenever they are needed. To create a data warehouse infrastructure using archetype-based technologies, standards and query languages to enable the interoperability needed for data reuse. The work presented makes use of best of breed archetype-based data transformation and storage technologies to create a workflow for the modeling, extraction, transformation and load of EHR proprietary data into standardized data repositories. We converted legacy data and performed patient-centered aggregations via archetype-based transformations. Later, specific purpose aggregations were performed at a query level for particular use cases. Laboratory test results of a population of 230,000 patients belonging to Troms and Finnmark counties in Norway requested between January 2013 and November 2014 have been standardized. Test records normalization has been performed by defining transformation and aggregation functions between the laboratory records and an archetype. These mappings were used to automatically generate open EHR compliant data. These data were loaded into an archetype-based data warehouse. Once loaded, we defined indicators linked to the data in the warehouse to monitor test activity of Salmonella and Pertussis using the archetype query language. Archetype-based standards and technologies can be used to create a data warehouse environment that enables data from EHR systems to be reused in clinical research and decision support systems. With this approach, existing EHR data becomes available in a standardized and interoperable format, thus opening a world

  19. toxoMine: an integrated omics data warehouse for Toxoplasma gondii systems biology research

    PubMed Central

    Rhee, David B.; Croken, Matthew McKnight; Shieh, Kevin R.; Sullivan, Julie; Micklem, Gos; Kim, Kami; Golden, Aaron

    2015-01-01

    Toxoplasma gondii (T. gondii) is an obligate intracellular parasite that must monitor for changes in the host environment and respond accordingly; however, it is still not fully known which genetic or epigenetic factors are involved in regulating virulence traits of T. gondii. There are on-going efforts to elucidate the mechanisms regulating the stage transition process via the application of high-throughput epigenomics, genomics and proteomics techniques. Given the range of experimental conditions and the typical yield from such high-throughput techniques, a new challenge arises: how to effectively collect, organize and disseminate the generated data for subsequent data analysis. Here, we describe toxoMine, which provides a powerful interface to support sophisticated integrative exploration of high-throughput experimental data and metadata, providing researchers with a more tractable means toward understanding how genetic and/or epigenetic factors play a coordinated role in determining pathogenicity of T. gondii. As a data warehouse, toxoMine allows integration of high-throughput data sets with public T. gondii data. toxoMine is also able to execute complex queries involving multiple data sets with straightforward user interaction. Furthermore, toxoMine allows users to define their own parameters during the search process that gives users near-limitless search and query capabilities. The interoperability feature also allows users to query and examine data available in other InterMine systems, which would effectively augment the search scope beyond what is available to toxoMine. toxoMine complements the major community database ToxoDB by providing a data warehouse that enables more extensive integrative studies for T. gondii. Given all these factors, we believe it will become an indispensable resource to the greater infectious disease research community. Database URL: http://toxomine.org PMID:26130662

  20. Photocopy of drawing (original drawing of Q.M. Warehouse in possession ...

    Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

    Photocopy of drawing (original drawing of Q.M. Warehouse in possession of MacDill Air Force Base, Civil Engineering, Tampa, Florida; 1940 architectural drawings by Construction Division, Office of the Quartermaster General) PLANS, ELEVATIONS, SECTIONS, AND ELECTRICAL DETAILS - MacDill Air Force Base, Quartermaster Warehouse, 7605 Hillsborough Loop Drive, Tampa, Hillsborough County, FL

  1. A simulated annealing approach for redesigning a warehouse network problem

    NASA Astrophysics Data System (ADS)

    Khairuddin, Rozieana; Marlizawati Zainuddin, Zaitul; Jiun, Gan Jia

    2017-09-01

    Now a day, several companies consider downsizing their distribution networks in ways that involve consolidation or phase-out of some of their current warehousing facilities due to the increasing competition, mounting cost pressure and taking advantage on the economies of scale. Consequently, the changes on economic situation after a certain period of time require an adjustment on the network model in order to get the optimal cost under the current economic conditions. This paper aimed to develop a mixed-integer linear programming model for a two-echelon warehouse network redesign problem with capacitated plant and uncapacitated warehouses. The main contribution of this study is considering capacity constraint for existing warehouses. A Simulated Annealing algorithm is proposed to tackle with the proposed model. The numerical solution showed the model and method of solution proposed was practical.

  2. Storage and retrieval of medical images from data warehouses

    NASA Astrophysics Data System (ADS)

    Tikekar, Rahul V.; Fotouhi, Farshad A.; Ragan, Don P.

    1995-11-01

    As our applications continue to become more sophisticated, the demand for more storage continues to rise. Hence many businesses are looking toward data warehousing technology to satisfy their storage needs. A warehouse is different from a conventional database and hence deserves a different approach while storing data that might be retrieved at a later point in time. In this paper we look at the problem of storing and retrieving medical image data from a warehouse. We regard the warehouse as a pyramid with fast storage devices at the top and slower storage devices at the bottom. Our approach is to store the most needed information abstract at the top of the pyramid and more detailed and storage consuming data toward the end of the pyramid. This information is linked for browsing purposes. In a similar fashion, during the retrieval of data, the user is given a sample representation with browse option of the detailed data and, as required, more and more details are made available.

  3. Truck Terminal and Warehouse Survey Results

    DOT National Transportation Integrated Search

    1996-03-01

    The survey of truck terminals and warehouses resulted in locating the highway bottlenecks for truck movements which are more localized in nature than the previous air, marine, and rail surveys performed by the NYMTC Central Staff. However, all of the...

  4. 27 CFR 28.27 - Entry of wine into customs bonded warehouses.

    Code of Federal Regulations, 2010 CFR

    2010-04-01

    ... 27 Alcohol, Tobacco Products and Firearms 1 2010-04-01 2010-04-01 false Entry of wine into customs... Bonded Warehouses § 28.27 Entry of wine into customs bonded warehouses. Upon filing of the application or notice prescribed by § 28.122(a), wine may be withdrawn from a bonded wine cellar for transfer to any...

  5. Benchmarking distributed data warehouse solutions for storing genomic variant information

    PubMed Central

    Wiewiórka, Marek S.; Wysakowicz, Dawid P.; Okoniewski, Michał J.

    2017-01-01

    Abstract Genomic-based personalized medicine encompasses storing, analysing and interpreting genomic variants as its central issues. At a time when thousands of patientss sequenced exomes and genomes are becoming available, there is a growing need for efficient database storage and querying. The answer could be the application of modern distributed storage systems and query engines. However, the application of large genomic variant databases to this problem has not been sufficiently far explored so far in the literature. To investigate the effectiveness of modern columnar storage [column-oriented Database Management System (DBMS)] and query engines, we have developed a prototypic genomic variant data warehouse, populated with large generated content of genomic variants and phenotypic data. Next, we have benchmarked performance of a number of combinations of distributed storages and query engines on a set of SQL queries that address biological questions essential for both research and medical applications. In addition, a non-distributed, analytical database (MonetDB) has been used as a baseline. Comparison of query execution times confirms that distributed data warehousing solutions outperform classic relational DBMSs. Moreover, pre-aggregation and further denormalization of data, which reduce the number of distributed join operations, significantly improve query performance by several orders of magnitude. Most of distributed back-ends offer a good performance for complex analytical queries, while the Optimized Row Columnar (ORC) format paired with Presto and Parquet with Spark 2 query engines provide, on average, the lowest execution times. Apache Kudu on the other hand, is the only solution that guarantees a sub-second performance for simple genome range queries returning a small subset of data, where low-latency response is expected, while still offering decent performance for running analytical queries. In summary, research and clinical applications that require

  6. Designing a Clinical Data Warehouse Architecture to Support Quality Improvement Initiatives.

    PubMed

    Chelico, John D; Wilcox, Adam B; Vawdrey, David K; Kuperman, Gilad J

    2016-01-01

    Clinical data warehouses, initially directed towards clinical research or financial analyses, are evolving to support quality improvement efforts, and must now address the quality improvement life cycle. In addition, data that are needed for quality improvement often do not reside in a single database, requiring easier methods to query data across multiple disparate sources. We created a virtual data warehouse at NewYork Presbyterian Hospital that allowed us to bring together data from several source systems throughout the organization. We also created a framework to match the maturity of a data request in the quality improvement life cycle to proper tools needed for each request. As projects progress in the Define, Measure, Analyze, Improve, Control stages of quality improvement, there is a proper matching of resources the data needs at each step. We describe the analysis and design creating a robust model for applying clinical data warehousing to quality improvement.

  7. 27 CFR 24.126 - Change in proprietorship involving a bonded wine warehouse.

    Code of Federal Regulations, 2010 CFR

    2010-04-01

    ... involving a bonded wine warehouse. 24.126 Section 24.126 Alcohol, Tobacco Products and Firearms ALCOHOL AND TOBACCO TAX AND TRADE BUREAU, DEPARTMENT OF THE TREASURY LIQUORS WINE Establishment and Operations Changes Subsequent to Original Establishment § 24.126 Change in proprietorship involving a bonded wine warehouse...

  8. Automated mapping of pharmacy orders from two electronic health record systems to RxNorm within the STRIDE clinical data warehouse.

    PubMed

    Hernandez, Penni; Podchiyska, Tanya; Weber, Susan; Ferris, Todd; Lowe, Henry

    2009-11-14

    The Stanford Translational Research Integrated Database Environment (STRIDE) clinical data warehouse integrates medication information from two Stanford hospitals that use different drug representation systems. To merge this pharmacy data into a single, standards-based model supporting research we developed an algorithm to map HL7 pharmacy orders to RxNorm concepts. A formal evaluation of this algorithm on 1.5 million pharmacy orders showed that the system could accurately assign pharmacy orders in over 96% of cases. This paper describes the algorithm and discusses some of the causes of failures in mapping to RxNorm.

  9. Modelling of Operative Report Documents for Data Integration into an openEHR-Based Enterprise Data Warehouse.

    PubMed

    Haarbrandt, Birger; Wilschko, Andreas; Marschollek, Michael

    2016-01-01

    In order to integrate operative report documents from two operating room management systems into a data warehouse, we investigated the application of the two-level modelling approach of openEHR to create a shared data model. Based on the systems' analyses, a template consisting of 13 archetypes has been developed. Of these 13 archetypes, 3 have been obtained from the international archetype repository of the openEHR foundation. The remaining 10 archetypes have been newly created. The template was evaluated by an application system expert and through conducting a first test mapping of real-world data from one of the systems. The evaluation showed that by using the two-level modelling approach of openEHR, we succeeded to represent an integrated and shared information model for operative report documents. More research is needed to learn about the limitations of this approach in other data integration scenarios.

  10. Roogle: an information retrieval engine for clinical data warehouse.

    PubMed

    Cuggia, Marc; Garcelon, Nicolas; Campillo-Gimenez, Boris; Bernicot, Thomas; Laurent, Jean-François; Garin, Etienne; Happe, André; Duvauferrier, Régis

    2011-01-01

    High amount of relevant information is contained in reports stored in the electronic patient records and associated metadata. R-oogle is a project aiming at developing information retrieval engines adapted to these reports and designed for clinicians. The system consists in a data warehouse (full-text reports and structured data) imported from two different hospital information systems. Information retrieval is performed using metadata-based semantic and full-text search methods (as Google). Applications may be biomarkers identification in a translational approach, search of specific cases, and constitution of cohorts, professional practice evaluation, and quality control assessment.

  11. Irritant contact dermatitis in warehouse employees.

    PubMed

    Ashworth, J; Rycroft, R J; Waddy, R S; Irvine, D

    1993-02-01

    A detailed survey of skin complaints amongst 114 airline employees working in a new warehouse revealed 26 cases of skin problems which originated during the 2 1/2 year operation. A clinical survey of broadly the same population confirmed 14 cases from 98 employees as chronic irritant contact dermatitis of the hands. The work involved the reception, unpackaging, inspection, repackaging and dispatch of aircraft parts. The source of the skin irritation was not to be found in the work itself. Rather, the presence among the employees of two severe cases of non-occupational eczema, combined with the idea that incoming aircraft parts from foreign countries might be 'dirty' in some way, had caused a heightened perception of a risk of skin disease, and the frequency of hand washing had increased as a result. Over-frequent hand washing in a few employees had resulted in precisely what the warehouse staff had been trying to avoid.

  12. Designing a Clinical Data Warehouse Architecture to Support Quality Improvement Initiatives

    PubMed Central

    Chelico, John D.; Wilcox, Adam B.; Vawdrey, David K.; Kuperman, Gilad J.

    2016-01-01

    Clinical data warehouses, initially directed towards clinical research or financial analyses, are evolving to support quality improvement efforts, and must now address the quality improvement life cycle. In addition, data that are needed for quality improvement often do not reside in a single database, requiring easier methods to query data across multiple disparate sources. We created a virtual data warehouse at NewYork Presbyterian Hospital that allowed us to bring together data from several source systems throughout the organization. We also created a framework to match the maturity of a data request in the quality improvement life cycle to proper tools needed for each request. As projects progress in the Define, Measure, Analyze, Improve, Control stages of quality improvement, there is a proper matching of resources the data needs at each step. We describe the analysis and design creating a robust model for applying clinical data warehousing to quality improvement. PMID:28269833

  13. Characteristics Desired in Clinical Data Warehouse for Biomedical Research

    PubMed Central

    Shin, Soo-Yong; Kim, Woo Sung

    2014-01-01

    Objectives Due to the unique characteristics of clinical data, clinical data warehouses (CDWs) have not been successful so far. Specifically, the use of CDWs for biomedical research has been relatively unsuccessful thus far. The characteristics necessary for the successful implementation and operation of a CDW for biomedical research have not clearly defined yet. Methods Three examples of CDWs were reviewed: a multipurpose CDW in a hospital, a CDW for independent multi-institutional research, and a CDW for research use in an institution. After reviewing the three CDW examples, we propose some key characteristics needed in a CDW for biomedical research. Results A CDW for research should include an honest broker system and an Institutional Review Board approval interface to comply with governmental regulations. It should also include a simple query interface, an anonymized data review tool, and a data extraction tool. Also, it should be a biomedical research platform for data repository use as well as data analysis. Conclusions The proposed characteristics desired in a CDW may have limited transfer value to organizations in other countries. However, these analysis results are still valid in Korea, and we have developed clinical research data warehouse based on these desiderata. PMID:24872909

  14. Network Intrusion Detection and Visualization using Aggregations in a Cyber Security Data Warehouse

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

    Czejdo, Bogdan; Ferragut, Erik M; Goodall, John R

    2012-01-01

    The challenge of achieving situational understanding is a limiting factor in effective, timely, and adaptive cyber-security analysis. Anomaly detection fills a critical role in network assessment and trend analysis, both of which underlie the establishment of comprehensive situational understanding. To that end, we propose a cyber security data warehouse implemented as a hierarchical graph of aggregations that captures anomalies at multiple scales. Each node of our pro-posed graph is a summarization table of cyber event aggregations, and the edges are aggregation operators. The cyber security data warehouse enables domain experts to quickly traverse a multi-scale aggregation space systematically. We describemore » the architecture of a test bed system and a summary of results on the IEEE VAST 2012 Cyber Forensics data.« less

  15. Integration of upper air data in the MeteoSwiss Data Warehouse

    NASA Astrophysics Data System (ADS)

    Musa, M.; Haeberli, Ch.; Ruffieux, D.

    2010-09-01

    Over the last 10 years MeteoSwiss established a Data Warehouse in order to get one single, integrated data platform for all kinds of meteorological and climatological data. In the MeteoSwiss Data Warehouse data and metadata are hold in a metadata driven relational database. To reach this goal, we started with the integration of the actual and historical data from our surface stations in a first step, including routines for aggregation and calculation and the implementation of enhanced Quality Control tools. In 2008 we started with the integration of actual and historical upper air data like soundings (PTU, Wind and Ozone), any kind of profilers like wind profiler or radiometer, profiles calculated from numerical weather models and AMDAR data in the Data Warehouse. The dataset includes also high resolution sounding data from the station Payerne and TEMP data from 20 European stations since 1942. A critical point was to work out a concept for the general architecture which could deal with all different types of data. While integrating the data itself all metadata of the aerological station Payerne was transferred and imported in the central metadata repository of the Data Warehouse. The implementation of the real time and daily QC tools as well as the routines for aggregation and calculation were realized in an analog way as for the surface data. The Quality Control tools include plausibility tests like limit tests, consistency tests in the same level and vertical consistency tests. From the beginning it was the aim to support the MeteoSwiss integration strategy which deals with all aspects of integration like various observing technologies and platforms, observing systems outside MeteoSwiss and the data and metadata itself. This kind of integration comprises all aspects of "Enterprise Data Integration". After the integration, the historical as well as the actual upper air data are now available for the climatologists and meteorologists with standardized access for

  16. GenoQuery: a new querying module for functional annotation in a genomic warehouse

    PubMed Central

    Lemoine, Frédéric; Labedan, Bernard; Froidevaux, Christine

    2008-01-01

    Motivation: We have to cope with both a deluge of new genome sequences and a huge amount of data produced by high-throughput approaches used to exploit these genomic features. Crossing and comparing such heterogeneous and disparate data will help improving functional annotation of genomes. This requires designing elaborate integration systems such as warehouses for storing and querying these data. Results: We have designed a relational genomic warehouse with an original multi-layer architecture made of a databases layer and an entities layer. We describe a new querying module, GenoQuery, which is based on this architecture. We use the entities layer to define mixed queries. These mixed queries allow searching for instances of biological entities and their properties in the different databases, without specifying in which database they should be found. Accordingly, we further introduce the central notion of alternative queries. Such queries have the same meaning as the original mixed queries, while exploiting complementarities yielded by the various integrated databases of the warehouse. We explain how GenoQuery computes all the alternative queries of a given mixed query. We illustrate how useful this querying module is by means of a thorough example. Availability: http://www.lri.fr/~lemoine/GenoQuery/ Contact: chris@lri.fr, lemoine@lri.fr PMID:18586731

  17. WAREHOUSE END FRAMING. United Engineering Company Ltd., Alameda Shipyard. Sections ...

    Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

    WAREHOUSE END FRAMING. United Engineering Company Ltd., Alameda Shipyard. Sections at north and detail sections. No architect noted. Drawn by Penney. Plan no. 2-N-9 (U.E. Co. plan no. 10,523). Scales 1/4 inch and 1 inch to the foot. March 10, 1942, no revisions. U.S. Navy, Bureau of Yards & Docks, Contract no. bs 76, item no. 22A. Approved for construction October 9, 1943. blueprint - United Engineering Company Shipyard, Warehouse, 2900 Main Street, Alameda, Alameda County, CA

  18. An organizational analysis of the Fulton Warehouse.

    DOT National Transportation Integrated Search

    1971-01-01

    The purpose of this study was to examine the Warehouse organization as an entity separate from the Purchasing Division. The examination focused on the organization internally and then on its relationships to other organizational structures. This stud...

  19. INDIGO - INtegrated data warehouse of microbial genomes with examples from the red sea extremophiles.

    PubMed

    Alam, Intikhab; Antunes, André; Kamau, Allan Anthony; Ba Alawi, Wail; Kalkatawi, Manal; Stingl, Ulrich; Bajic, Vladimir B

    2013-01-01

    The next generation sequencing technologies substantially increased the throughput of microbial genome sequencing. To functionally annotate newly sequenced microbial genomes, a variety of experimental and computational methods are used. Integration of information from different sources is a powerful approach to enhance such annotation. Functional analysis of microbial genomes, necessary for downstream experiments, crucially depends on this annotation but it is hampered by the current lack of suitable information integration and exploration systems for microbial genomes. We developed a data warehouse system (INDIGO) that enables the integration of annotations for exploration and analysis of newly sequenced microbial genomes. INDIGO offers an opportunity to construct complex queries and combine annotations from multiple sources starting from genomic sequence to protein domain, gene ontology and pathway levels. This data warehouse is aimed at being populated with information from genomes of pure cultures and uncultured single cells of Red Sea bacteria and Archaea. Currently, INDIGO contains information from Salinisphaera shabanensis, Haloplasma contractile, and Halorhabdus tiamatea - extremophiles isolated from deep-sea anoxic brine lakes of the Red Sea. We provide examples of utilizing the system to gain new insights into specific aspects on the unique lifestyle and adaptations of these organisms to extreme environments. We developed a data warehouse system, INDIGO, which enables comprehensive integration of information from various resources to be used for annotation, exploration and analysis of microbial genomes. It will be regularly updated and extended with new genomes. It is aimed to serve as a resource dedicated to the Red Sea microbes. In addition, through INDIGO, we provide our Automatic Annotation of Microbial Genomes (AAMG) pipeline. The INDIGO web server is freely available at http://www.cbrc.kaust.edu.sa/indigo.

  20. [Research on the Application of Lean Management in Medical Consumables Material Logistics Management].

    PubMed

    Yang, Chai; Zhang, Wei; Gu, Wei; Shen, Aizong

    2016-11-01

    Solve the problems of high cost, low utilization rate of resources, low medical care quality problem in medical consumables material logistics management for scientific of medical consumables management. Analysis of the problems existing in the domestic medical consumables material logistics management in hospital, based on lean management method, SPD(Supply, Processing, Distribution) for specific applications, combined HBOS(Hospital Business Operation System), HIS (Hospital Information System) system for medical consumables material management. Achieve the lean management in medical consumables material purchase, warehouse construction, push, clinical use and retrospect. Lean management in medical consumables material can effectively control the cost in logistics management, optimize the alocation of resources, liberate unnecessary time of medical staff, improve the quality of medical care. It is a scientific management method.

  1. Next generation phenotyping using narrative reports in a rare disease clinical data warehouse.

    PubMed

    Garcelon, Nicolas; Neuraz, Antoine; Salomon, Rémi; Bahi-Buisson, Nadia; Amiel, Jeanne; Picard, Capucine; Mahlaoui, Nizar; Benoit, Vincent; Burgun, Anita; Rance, Bastien

    2018-05-31

    Secondary use of data collected in Electronic Health Records opens perspectives for increasing our knowledge of rare diseases. The clinical data warehouse (named Dr. Warehouse) at the Necker-Enfants Malades Children's Hospital contains data collected during normal care for thousands of patients. Dr. Warehouse is oriented toward the exploration of clinical narratives. In this study, we present our method to find phenotypes associated with diseases of interest. We leveraged the frequency and TF-IDF to explore the association between clinical phenotypes and rare diseases. We applied our method in six use cases: phenotypes associated with the Rett, Lowe, Silver Russell, Bardet-Biedl syndromes, DOCK8 deficiency and Activated PI3-kinase Delta Syndrome (APDS). We asked domain experts to evaluate the relevance of the top-50 (for frequency and TF-IDF) phenotypes identified by Dr. Warehouse and computed the average precision and mean average precision. Experts concluded that between 16 and 39 phenotypes could be considered as relevant in the top-50 phenotypes ranked by descending frequency discovered by Dr. Warehouse (resp. between 11 and 41 for TF-IDF). Average precision ranges from 0.55 to 0.91 for frequency and 0.52 to 0.95 for TF-IDF. Mean average precision was 0.79. Our study suggests that phenotypes identified in clinical narratives stored in Electronic Health Record can provide rare disease specialists with candidate phenotypes that can be used in addition to the literature. Clinical Data Warehouses can be used to perform Next Generation Phenotyping, especially in the context of rare diseases. We have developed a method to detect phenotypes associated with a group of patients using medical concepts extracted from free-text clinical narratives.

  2. A&M. Radioactive parts security storage warehouses: TAN648 on left, and ...

    Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

    A&M. Radioactive parts security storage warehouses: TAN-648 on left, and dolly storage building, TAN-647, on right. Camera facing south. This was the front entry for the warehouse and the rear of the dolly storage building. Date: August 6, 2003. INEEL negative no. HD-36-2-2 - Idaho National Engineering Laboratory, Test Area North, Scoville, Butte County, ID

  3. Data warehousing: toward knowledge management.

    PubMed

    Shams, K; Farishta, M

    2001-02-01

    With rapid changes taking place in the practice and delivery of health care, decision support systems have assumed an increasingly important role. More and more health care institutions are deploying data warehouse applications as decision support tools for strategic decision making. By making the right information available at the right time to the right decision makers in the right manner, data warehouses empower employees to become knowledge workers with the ability to make the right decisions and solve problems, creating strategic leverage for the organization. Health care management must plan and implement data warehousing strategy using a best practice approach. Through the power of data warehousing, health care management can negotiate bettermanaged care contracts based on the ability to provide accurate data on case mix and resource utilization. Management can also save millions of dollars through the implementation of clinical pathways in better resource utilization and changing physician behavior to best practices based on evidence-based medicine.

  4. 7 CFR 1421.107 - Warehouse receipts.

    Code of Federal Regulations, 2013 CFR

    2013-01-01

    ...) Mustard Seed: 10.0 percent; (4) Rapeseed: 10.0 percent; (5) Safflower Seed: 10.0 percent; (6) Sunflower Seed: 10.0 percent; (7) Crambe: 10.0 percent; and (8) Sesame Seed: 10.0 percent. (i)(1) If, under..., such certificate must state that no lien for processing will be asserted by the warehouse operator...

  5. 7 CFR 1421.107 - Warehouse receipts.

    Code of Federal Regulations, 2011 CFR

    2011-01-01

    ...) Mustard Seed: 10.0 percent; (4) Rapeseed: 10.0 percent; (5) Safflower Seed: 10.0 percent; (6) Sunflower Seed: 10.0 percent; (7) Crambe: 10.0 percent; and (8) Sesame Seed: 10.0 percent. (i)(1) If, under..., such certificate must state that no lien for processing will be asserted by the warehouse operator...

  6. 7 CFR 1421.107 - Warehouse receipts.

    Code of Federal Regulations, 2012 CFR

    2012-01-01

    ...) Mustard Seed: 10.0 percent; (4) Rapeseed: 10.0 percent; (5) Safflower Seed: 10.0 percent; (6) Sunflower Seed: 10.0 percent; (7) Crambe: 10.0 percent; and (8) Sesame Seed: 10.0 percent. (i)(1) If, under..., such certificate must state that no lien for processing will be asserted by the warehouse operator...

  7. 7 CFR 1421.107 - Warehouse receipts.

    Code of Federal Regulations, 2014 CFR

    2014-01-01

    ...) Mustard Seed: 10.0 percent; (4) Rapeseed: 10.0 percent; (5) Safflower Seed: 10.0 percent; (6) Sunflower Seed: 10.0 percent; (7) Crambe: 10.0 percent; and (8) Sesame Seed: 10.0 percent. (i)(1) If, under..., such certificate must state that no lien for processing will be asserted by the warehouse operator...

  8. 7 CFR 1421.107 - Warehouse receipts.

    Code of Federal Regulations, 2010 CFR

    2010-01-01

    ...) Mustard Seed: 10.0 percent; (4) Rapeseed: 10.0 percent; (5) Safflower Seed: 10.0 percent; (6) Sunflower Seed: 10.0 percent; (7) Crambe: 10.0 percent; and (8) Sesame Seed: 10.0 percent. (i)(1) If, under..., such certificate must state that no lien for processing will be asserted by the warehouse operator...

  9. Protocol for a national blood transfusion data warehouse from donor to recipient

    PubMed Central

    van Hoeven, Loan R; Hooftman, Babette H; Janssen, Mart P; de Bruijne, Martine C; de Vooght, Karen M K; Kemper, Peter; Koopman, Maria M W

    2016-01-01

    Introduction Blood transfusion has health-related, economical and safety implications. In order to optimise the transfusion chain, comprehensive research data are needed. The Dutch Transfusion Data warehouse (DTD) project aims to establish a data warehouse where data from donors and transfusion recipients are linked. This paper describes the design of the data warehouse, challenges and illustrative applications. Study design and methods Quantitative data on blood donors (eg, age, blood group, antibodies) and products (type of product, processing, storage time) are obtained from the national blood bank. These are linked to data on the transfusion recipients (eg, transfusions administered, patient diagnosis, surgical procedures, laboratory parameters), which are extracted from hospital electronic health records. Applications Expected scientific contributions are illustrated for 4 applications: determine risk factors, predict blood use, benchmark blood use and optimise process efficiency. For each application, examples of research questions are given and analyses planned. Conclusions The DTD project aims to build a national, continuously updated transfusion data warehouse. These data have a wide range of applications, on the donor/production side, recipient studies on blood usage and benchmarking and donor–recipient studies, which ultimately can contribute to the efficiency and safety of blood transfusion. PMID:27491665

  10. Report: Early Warning Report: Main EPA Headquarters Warehouse in Landover, Maryland, Requires Immediate EPA Attention

    EPA Pesticide Factsheets

    Report #13-P-0272, May 31, 2013. Our initial research at the EPA’s Landover warehouse raised significant concerns with the lack of agency oversight of personal property and warehouse space at the facility.

  11. 78 FR 59289 - Clarification of Bales Made Available for Shipment by CCC-Approved Warehouses

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-09-26

    ... for CCC-approved warehouses storing cotton. The amendment would change the definition of Bales Made Available for Shipment (BMAS). CCC-approved cotton warehouses are currently required to report BMAS, among... information about bales available for shipment, benefiting both CCC and the cotton industry. DATES: We will...

  12. 22 CFR 124.14 - Exports to warehouses or distribution points outside the United States.

    Code of Federal Regulations, 2011 CFR

    2011-04-01

    ... 22 Foreign Relations 1 2011-04-01 2011-04-01 false Exports to warehouses or distribution points... to warehouses or distribution points outside the United States. (a) Agreements. Agreements (e.g... military nomenclature, the Federal stock number, nameplate data, and any control numbers under which the...

  13. The Visit-Data Warehouse: Enabling Novel Secondary Use of Health Information Exchange Data

    PubMed Central

    Fleischman, William; Lowry, Tina; Shapiro, Jason

    2014-01-01

    Introduction/Objectives: Health Information Exchange (HIE) efforts face challenges with data quality and performance, and this becomes especially problematic when data is leveraged for uses beyond primary clinical use. We describe a secondary data infrastructure focusing on patient-encounter, nonclinical data that was built on top of a functioning HIE platform to support novel secondary data uses and prevent potentially negative impacts these uses might have otherwise had on HIE system performance. Background: HIE efforts have generally formed for the primary clinical use of individual clinical providers searching for data on individual patients under their care, but many secondary uses have been proposed and are being piloted to support care management, quality improvement, and public health. Description of the HIE and Base Infrastructure: This infrastructure review describes a module built into the Healthix HIE. Healthix, based in the New York metropolitan region, comprises 107 participating organizations with 29,946 acute-care beds in 383 facilities, and includes more than 9.2 million unique patients. The primary infrastructure is based on the InterSystems proprietary Caché data model distributed across servers in multiple locations, and uses a master patient index to link individual patients’ records across multiple sites. We built a parallel platform, the “visit data warehouse,” of patient encounter data (demographics, date, time, and type of visit) using a relational database model to allow accessibility using standard database tools and flexibility for developing secondary data use cases. These four secondary use cases include the following: (1) tracking encounter-based metrics in a newly established geriatric emergency department (ED), (2) creating a dashboard to provide a visual display as well as a tabular output of near-real-time de-identified encounter data from the data warehouse, (3) tracking frequent ED users as part of a regional-approach to

  14. Two-warehouse partial backlogging inventory model for deteriorating items with linear trend in demand under inflationary conditions

    NASA Astrophysics Data System (ADS)

    Jaggi, Chandra K.; Khanna, Aditi; Verma, Priyanka

    2011-07-01

    In today's business transactions, there are various reasons, namely, bulk purchase discounts, re-ordering costs, seasonality of products, inflation induced demand, etc., which force the buyer to order more than the warehouse capacity. Such situations call for additional storage space to store the excess units purchased. This additional storage space is typically a rented warehouse. Inflation plays a very interesting and significant role here: It increases the cost of goods. To safeguard from the rising prices, during the inflation regime, the organisation prefers to keep a higher inventory, thereby increasing the aggregate demand. This additional inventory needs additional storage space, which is facilitated by a rented warehouse. Ignoring the effects of the time value of money and inflation might yield misleading results. In this study, a two-warehouse inventory model with linear trend in demand under inflationary conditions having different rates of deterioration has been developed. Shortages at the owned warehouse are also allowed subject to partial backlogging. The solution methodology provided in the model helps to decide on the feasibility of renting a warehouse. Finally, findings have been illustrated with the help of numerical examples. Comprehensive sensitivity analysis has also been provided.

  15. Two-warehouse system for non-instantaneous deterioration products with promotional effort and inflation over a finite time horizon

    NASA Astrophysics Data System (ADS)

    Palanivel, M.; Priyan, S.; Mala, P.

    2017-11-01

    In the current global market, organizations use many promotional tools to increase their sales. One such tool is sales teams' initiatives or promotional policies, i.e., free gifts, discounts, packaging, etc. This phenomenon motivates the retailer/or buyer to order a large inventory lot so as to take full benefit of promotional policies. In view of this the present paper considers a two-warehouse (owned and rented) inventory problem for a non-instantaneous deteriorating item with inflation and time value of money over a finite planning horizon. Here, demand depends on the sales team's initiatives and shortages are partially backlogged at a rate dependent on the duration of waiting time up to the arrival of next lot. We design an algorithm to obtain the optimal replenishment strategies. Numerical analysis is also given to show the applicability of the proposed model in real-world two-warehouse inventory problems.

  16. Validating emergency department vital signs using a data quality engine for data warehouse.

    PubMed

    Genes, N; Chandra, D; Ellis, S; Baumlin, K

    2013-01-01

    Vital signs in our emergency department information system were entered into free-text fields for heart rate, respiratory rate, blood pressure, temperature and oxygen saturation. We sought to convert these text entries into a more useful form, for research and QA purposes, upon entry into a data warehouse. We derived a series of rules and assigned quality scores to the transformed values, conforming to physiologic parameters for vital signs across the age range and spectrum of illness seen in the emergency department. Validating these entries revealed that 98% of free-text data had perfect quality scores, conforming to established vital sign parameters. Average vital signs varied as expected by age. Degradations in quality scores were most commonly attributed logging temperature in Fahrenheit instead of Celsius; vital signs with this error could still be transformed for use. Errors occurred more frequently during periods of high triage, though error rates did not correlate with triage volume. In developing a method for importing free-text vital sign data from our emergency department information system, we now have a data warehouse with a broad array of quality-checked vital signs, permitting analysis and correlation with demographics and outcomes.

  17. MitoMiner: a data warehouse for mitochondrial proteomics data

    PubMed Central

    Smith, Anthony C.; Blackshaw, James A.; Robinson, Alan J.

    2012-01-01

    MitoMiner (http://mitominer.mrc-mbu.cam.ac.uk/) is a data warehouse for the storage and analysis of mitochondrial proteomics data gathered from publications of mass spectrometry and green fluorescent protein tagging studies. In MitoMiner, these data are integrated with data from UniProt, Gene Ontology, Online Mendelian Inheritance in Man, HomoloGene, Kyoto Encyclopaedia of Genes and Genomes and PubMed. The latest release of MitoMiner stores proteomics data sets from 46 studies covering 11 different species from eumetazoa, viridiplantae, fungi and protista. MitoMiner is implemented by using the open source InterMine data warehouse system, which provides a user interface allowing users to upload data for analysis, personal accounts to store queries and results and enables queries of any data in the data model. MitoMiner also provides lists of proteins for use in analyses, including the new MitoMiner mitochondrial proteome reference sets that specify proteins with substantial experimental evidence for mitochondrial localization. As further mitochondrial proteomics data sets from normal and diseased tissue are published, MitoMiner can be used to characterize the variability of the mitochondrial proteome between tissues and investigate how changes in the proteome may contribute to mitochondrial dysfunction and mitochondrial-associated diseases such as cancer, neurodegenerative diseases, obesity, diabetes, heart failure and the ageing process. PMID:22121219

  18. Protocol for a national blood transfusion data warehouse from donor to recipient.

    PubMed

    van Hoeven, Loan R; Hooftman, Babette H; Janssen, Mart P; de Bruijne, Martine C; de Vooght, Karen M K; Kemper, Peter; Koopman, Maria M W

    2016-08-04

    Blood transfusion has health-related, economical and safety implications. In order to optimise the transfusion chain, comprehensive research data are needed. The Dutch Transfusion Data warehouse (DTD) project aims to establish a data warehouse where data from donors and transfusion recipients are linked. This paper describes the design of the data warehouse, challenges and illustrative applications. Quantitative data on blood donors (eg, age, blood group, antibodies) and products (type of product, processing, storage time) are obtained from the national blood bank. These are linked to data on the transfusion recipients (eg, transfusions administered, patient diagnosis, surgical procedures, laboratory parameters), which are extracted from hospital electronic health records. Expected scientific contributions are illustrated for 4 applications: determine risk factors, predict blood use, benchmark blood use and optimise process efficiency. For each application, examples of research questions are given and analyses planned. The DTD project aims to build a national, continuously updated transfusion data warehouse. These data have a wide range of applications, on the donor/production side, recipient studies on blood usage and benchmarking and donor-recipient studies, which ultimately can contribute to the efficiency and safety of blood transfusion. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/

  19. 5. AVALON DAM GATE KEEPER'S COMPLEX: HOUSE (LEFT), WAREHOUSE ...

    Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

    5. AVALON DAM - GATE KEEPER'S COMPLEX: HOUSE (LEFT), WAREHOUSE (RIGHT), AND CCC LANDSCAPING (FOREGROUND). VIEW TO SOUTHEAST - Carlsbad Irrigation District, Avalon Dam, On Pecos River, 4 miles North of Carlsbad, Carlsbad, Eddy County, NM

  20. An HL7-FHIR-based Object Model for a Home-Centered Data Warehouse for Ambient Assisted Living Environments.

    PubMed

    Schwartze, Jonas; Jansen, Lars; Schrom, Harald; Wolf, Klaus-Hendrik; Haux, Reinhold; Marschollek, Michael

    2015-01-01

    Current AAL environments focus on assisting a single person with seperated technologies. There is no interoperability between sub-domains in home environments, like building energy management or housing industry services. BASIS (Building Automation by a Scalable and Intelligent System) aims to integrate all sensors and actuators into a single, efficient home bus. First step is to create a semtically enriched data warehouse object model. We choose FHIR and built an object model mainly based on the Observation, Device and Location resources with minor extensions needed by AAL-foreign sub domains. FHIR turned out to be very flexible and complete for other home related sub-domains. The object model is implemented in a separated software-partition storing all structural and procedural data of BASIS.

  1. Bridging a divide: architecture for a joint hospital-primary care data warehouse.

    PubMed

    An, Jeff; Keshavjee, Karim; Mirza, Kashif; Vassanji, Karim; Greiver, Michelle

    2015-01-01

    Healthcare costs are driven by a surprisingly small number of patients. Predicting who is likely to require care in the near future could help reduce costs by pre-empting use of expensive health care resources such as emergency departments and hospitals. We describe the design of an architecture for a joint hospital-primary care data warehouse (JDW) that can monitor the effectiveness of in-hospital interventions in reducing readmissions and predict which patients are most likely to be admitted to hospital in the near future. The design identifies the key governance elements, the architectural principles, the business case, the privacy architecture, future work flows, the IT infrastructure, the data analytics and the high level implementation plan for realization of the JDW. This architecture fills a gap in bridging data from two separate hospital and primary care organizations, not a single managed care entity with multiple locations. The JDW architecture design was well received by the stakeholders engaged and by senior leadership at the hospital and the primary care organization. Future plans include creating a demonstration system and conducting a pilot study.

  2. Use of a data warehouse at an academic medical center for clinical pathology quality improvement, education, and research

    PubMed Central

    Krasowski, Matthew D.; Schriever, Andy; Mathur, Gagan; Blau, John L.; Stauffer, Stephanie L.; Ford, Bradley A.

    2015-01-01

    Background: Pathology data contained within the electronic health record (EHR), and laboratory information system (LIS) of hospitals represents a potentially powerful resource to improve clinical care. However, existing reporting tools within commercial EHR and LIS software may not be able to efficiently and rapidly mine data for quality improvement and research applications. Materials and Methods: We present experience using a data warehouse produced collaboratively between an academic medical center and a private company. The data warehouse contains data from the EHR, LIS, admission/discharge/transfer system, and billing records and can be accessed using a self-service data access tool known as Starmaker. The Starmaker software allows users to use complex Boolean logic, include and exclude rules, unit conversion and reference scaling, and value aggregation using a straightforward visual interface. More complex queries can be achieved by users with experience with Structured Query Language. Queries can use biomedical ontologies such as Logical Observation Identifiers Names and Codes and Systematized Nomenclature of Medicine. Result: We present examples of successful searches using Starmaker, falling mostly in the realm of microbiology and clinical chemistry/toxicology. The searches were ones that were either very difficult or basically infeasible using reporting tools within the EHR and LIS used in the medical center. One of the main strengths of Starmaker searches is rapid results, with typical searches covering 5 years taking only 1–2 min. A “Run Count” feature quickly outputs the number of cases meeting criteria, allowing for refinement of searches before downloading patient-identifiable data. The Starmaker tool is available to pathology residents and fellows, with some using this tool for quality improvement and scholarly projects. Conclusion: A data warehouse has significant potential for improving utilization of clinical pathology testing. Software

  3. Use of a data warehouse at an academic medical center for clinical pathology quality improvement, education, and research.

    PubMed

    Krasowski, Matthew D; Schriever, Andy; Mathur, Gagan; Blau, John L; Stauffer, Stephanie L; Ford, Bradley A

    2015-01-01

    Pathology data contained within the electronic health record (EHR), and laboratory information system (LIS) of hospitals represents a potentially powerful resource to improve clinical care. However, existing reporting tools within commercial EHR and LIS software may not be able to efficiently and rapidly mine data for quality improvement and research applications. We present experience using a data warehouse produced collaboratively between an academic medical center and a private company. The data warehouse contains data from the EHR, LIS, admission/discharge/transfer system, and billing records and can be accessed using a self-service data access tool known as Starmaker. The Starmaker software allows users to use complex Boolean logic, include and exclude rules, unit conversion and reference scaling, and value aggregation using a straightforward visual interface. More complex queries can be achieved by users with experience with Structured Query Language. Queries can use biomedical ontologies such as Logical Observation Identifiers Names and Codes and Systematized Nomenclature of Medicine. We present examples of successful searches using Starmaker, falling mostly in the realm of microbiology and clinical chemistry/toxicology. The searches were ones that were either very difficult or basically infeasible using reporting tools within the EHR and LIS used in the medical center. One of the main strengths of Starmaker searches is rapid results, with typical searches covering 5 years taking only 1-2 min. A "Run Count" feature quickly outputs the number of cases meeting criteria, allowing for refinement of searches before downloading patient-identifiable data. The Starmaker tool is available to pathology residents and fellows, with some using this tool for quality improvement and scholarly projects. A data warehouse has significant potential for improving utilization of clinical pathology testing. Software that can access data warehouse using a straightforward visual

  4. Statewide Transportation Engineering Warehouse for Archived Regional Data (STEWARD).

    DOT National Transportation Integrated Search

    2009-12-01

    This report documents Phase III of the development and operation of a prototype for the Statewide Transportation : Engineering Warehouse for Archived Regional Data (STEWARD). It reflects the progress on the development and : operation of STEWARD sinc...

  5. 6. AVALON DAM GATE KEEPER'S COMPLEX: GARAGE AND WAREHOUSE ...

    Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

    6. AVALON DAM - GATE KEEPER'S COMPLEX: GARAGE AND WAREHOUSE (LEFT), HOUSE (RIGHT), AND CCC LANDSCAPING (FOREGROUND). VIEW TO NORTH - Carlsbad Irrigation District, Avalon Dam, On Pecos River, 4 miles North of Carlsbad, Carlsbad, Eddy County, NM

  6. INDIGO – INtegrated Data Warehouse of MIcrobial GenOmes with Examples from the Red Sea Extremophiles

    PubMed Central

    Alam, Intikhab; Antunes, André; Kamau, Allan Anthony; Ba alawi, Wail; Kalkatawi, Manal; Stingl, Ulrich; Bajic, Vladimir B.

    2013-01-01

    Background The next generation sequencing technologies substantially increased the throughput of microbial genome sequencing. To functionally annotate newly sequenced microbial genomes, a variety of experimental and computational methods are used. Integration of information from different sources is a powerful approach to enhance such annotation. Functional analysis of microbial genomes, necessary for downstream experiments, crucially depends on this annotation but it is hampered by the current lack of suitable information integration and exploration systems for microbial genomes. Results We developed a data warehouse system (INDIGO) that enables the integration of annotations for exploration and analysis of newly sequenced microbial genomes. INDIGO offers an opportunity to construct complex queries and combine annotations from multiple sources starting from genomic sequence to protein domain, gene ontology and pathway levels. This data warehouse is aimed at being populated with information from genomes of pure cultures and uncultured single cells of Red Sea bacteria and Archaea. Currently, INDIGO contains information from Salinisphaera shabanensis, Haloplasma contractile, and Halorhabdus tiamatea - extremophiles isolated from deep-sea anoxic brine lakes of the Red Sea. We provide examples of utilizing the system to gain new insights into specific aspects on the unique lifestyle and adaptations of these organisms to extreme environments. Conclusions We developed a data warehouse system, INDIGO, which enables comprehensive integration of information from various resources to be used for annotation, exploration and analysis of microbial genomes. It will be regularly updated and extended with new genomes. It is aimed to serve as a resource dedicated to the Red Sea microbes. In addition, through INDIGO, we provide our Automatic Annotation of Microbial Genomes (AAMG) pipeline. The INDIGO web server is freely available at http://www.cbrc.kaust.edu.sa/indigo. PMID

  7. SYRIAC: The systematic review information automated collection system a data warehouse for facilitating automated biomedical text classification.

    PubMed

    Yang, Jianji J; Cohen, Aaron M; Cohen, Aaron; McDonagh, Marian S

    2008-11-06

    Automatic document classification can be valuable in increasing the efficiency in updating systematic reviews (SR). In order for the machine learning process to work well, it is critical to create and maintain high-quality training datasets consisting of expert SR inclusion/exclusion decisions. This task can be laborious, especially when the number of topics is large and source data format is inconsistent.To approach this problem, we build an automated system to streamline the required steps, from initial notification of update in source annotation files to loading the data warehouse, along with a web interface to monitor the status of each topic. In our current collection of 26 SR topics, we were able to standardize almost all of the relevance judgments and recovered PMIDs for over 80% of all articles. Of those PMIDs, over 99% were correct in a manual random sample study. Our system performs an essential function in creating training and evaluation data sets for SR text mining research.

  8. SYRIAC: The SYstematic Review Information Automated Collection System A Data Warehouse for Facilitating Automated Biomedical Text Classification

    PubMed Central

    Yang, Jianji J.; Cohen, Aaron M.; McDonagh, Marian S.

    2008-01-01

    Automatic document classification can be valuable in increasing the efficiency in updating systematic reviews (SR). In order for the machine learning process to work well, it is critical to create and maintain high-quality training datasets consisting of expert SR inclusion/exclusion decisions. This task can be laborious, especially when the number of topics is large and source data format is inconsistent. To approach this problem, we build an automated system to streamline the required steps, from initial notification of update in source annotation files to loading the data warehouse, along with a web interface to monitor the status of each topic. In our current collection of 26 SR topics, we were able to standardize almost all of the relevance judgments and recovered PMIDs for over 80% of all articles. Of those PMIDs, over 99% were correct in a manual random sample study. Our system performs an essential function in creating training and evaluation datasets for SR text mining research. PMID:18999194

  9. On Robust Methodologies for Managing Public Health Care Systems

    PubMed Central

    Nimmagadda, Shastri L.; Dreher, Heinz V.

    2014-01-01

    Authors focus on ontology-based multidimensional data warehousing and mining methodologies, addressing various issues on organizing, reporting and documenting diabetic cases and their associated ailments, including causalities. Map and other diagnostic data views, depicting similarity and comparison of attributes, extracted from warehouses, are used for understanding the ailments, based on gender, age, geography, food-habits and other hereditary event attributes. In addition to rigor on data mining and visualization, an added focus is on values of interpretation of data views, from processed full-bodied diagnosis, subsequent prescription and appropriate medications. The proposed methodology, is a robust back-end application, for web-based patient-doctor consultations and e-Health care management systems through which, billions of dollars spent on medical services, can be saved, in addition to improving quality of life and average life span of a person. Government health departments and agencies, private and government medical practitioners including social welfare organizations are typical users of these systems. PMID:24445953

  10. Concept of operations for knowledge discovery from Big Data across enterprise data warehouses

    NASA Astrophysics Data System (ADS)

    Sukumar, Sreenivas R.; Olama, Mohammed M.; McNair, Allen W.; Nutaro, James J.

    2013-05-01

    The success of data-driven business in government, science, and private industry is driving the need for seamless integration of intra and inter-enterprise data sources to extract knowledge nuggets in the form of correlations, trends, patterns and behaviors previously not discovered due to physical and logical separation of datasets. Today, as volume, velocity, variety and complexity of enterprise data keeps increasing, the next generation analysts are facing several challenges in the knowledge extraction process. Towards addressing these challenges, data-driven organizations that rely on the success of their analysts have to make investment decisions for sustainable data/information systems and knowledge discovery. Options that organizations are considering are newer storage/analysis architectures, better analysis machines, redesigned analysis algorithms, collaborative knowledge management tools, and query builders amongst many others. In this paper, we present a concept of operations for enabling knowledge discovery that data-driven organizations can leverage towards making their investment decisions. We base our recommendations on the experience gained from integrating multi-agency enterprise data warehouses at the Oak Ridge National Laboratory to design the foundation of future knowledge nurturing data-system architectures.

  11. Biomedical informatics: development of a comprehensive data warehouse for clinical and genomic breast cancer research.

    PubMed

    Hu, Hai; Brzeski, Henry; Hutchins, Joe; Ramaraj, Mohan; Qu, Long; Xiong, Richard; Kalathil, Surendran; Kato, Rand; Tenkillaya, Santhosh; Carney, Jerry; Redd, Rosann; Arkalgudvenkata, Sheshkumar; Shahzad, Kashif; Scott, Richard; Cheng, Hui; Meadow, Stephen; McMichael, John; Sheu, Shwu-Lin; Rosendale, David; Kvecher, Leonid; Ahern, Stephen; Yang, Song; Zhang, Yonghong; Jordan, Rick; Somiari, Stella B; Hooke, Jeffrey; Shriver, Craig D; Somiari, Richard I; Liebman, Michael N

    2004-10-01

    The Windber Research Institute is an integrated high-throughput research center employing clinical, genomic and proteomic platforms to produce terabyte levels of data. We use biomedical informatics technologies to integrate all of these operations. This report includes information on a multi-year, multi-phase hybrid data warehouse project currently under development in the Institute. The purpose of the warehouse is to host the terabyte-level of internal experimentally generated data as well as data from public sources. We have previously reported on the phase I development, which integrated limited internal data sources and selected public databases. Currently, we are completing phase II development, which integrates our internal automated data sources and develops visualization tools to query across these data types. This paper summarizes our clinical and experimental operations, the data warehouse development, and the challenges we have faced. In phase III we plan to federate additional manual internal and public data sources and then to develop and adapt more data analysis and mining tools. We expect that the final implementation of the data warehouse will greatly facilitate biomedical informatics research.

  12. Security Data Warehouse Application

    NASA Technical Reports Server (NTRS)

    Vernon, Lynn R.; Hennan, Robert; Ortiz, Chris; Gonzalez, Steve; Roane, John

    2012-01-01

    The Security Data Warehouse (SDW) is used to aggregate and correlate all JSC IT security data. This includes IT asset inventory such as operating systems and patch levels, users, user logins, remote access dial-in and VPN, and vulnerability tracking and reporting. The correlation of this data allows for an integrated understanding of current security issues and systems by providing this data in a format that associates it to an individual host. The cornerstone of the SDW is its unique host-mapping algorithm that has undergone extensive field tests, and provides a high degree of accuracy. The algorithm comprises two parts. The first part employs fuzzy logic to derive a best-guess host assignment using incomplete sensor data. The second part is logic to identify and correct errors in the database, based on subsequent, more complete data. Host records are automatically split or merged, as appropriate. The process had to be refined and thoroughly tested before the SDW deployment was feasible. Complexity was increased by adding the dimension of time. The SDW correlates all data with its relationship to time. This lends support to forensic investigations, audits, and overall situational awareness. Another important feature of the SDW architecture is that all of the underlying complexities of the data model and host-mapping algorithm are encapsulated in an easy-to-use and understandable Perl language Application Programming Interface (API). This allows the SDW to be quickly augmented with additional sensors using minimal coding and testing. It also supports rapid generation of ad hoc reports and integration with other information systems.

  13. 75 FR 69715 - Privacy Act of 1974: New System of Records

    Federal Register 2010, 2011, 2012, 2013, 2014

    2010-11-15

    ...: OPM is extending the comment period for a new system of records, OPM/Central-15, Health Claims Data Warehouse, until December 15, 2010. The initial notice for this system was published on October 5, 2010, and... to the Office of Personnel Management, Attn: Gary A. Lukowski, Ph.D., Manager, Data Analysis, U. S...

  14. Knowledge management system for risk mitigation in supply chain uncertainty: case from automotive battery supply chain

    NASA Astrophysics Data System (ADS)

    Marie, I. A.; Sugiarto, D.; Surjasa, D.; Witonohadi, A.

    2018-01-01

    Automotive battery supply chain include battery manufacturer, sulphuric acid suppliers, polypropylene suppliers, lead suppliers, transportation service providers, warehouses, retailers and even customers. Due to the increasingly dynamic condition of the environment, supply chain actors were required to improve their ability to overcome various uncertainty issues in the environment. This paper aims to describe the process of designing a knowledge management system for risk mitigation in supply chain uncertainty. The design methodology began with the identification of the knowledge needed to solve the problems associated with uncertainty and analysis of system requirements. The design of the knowledge management system was described in the form of a data flow diagram. The results of the study indicated that key knowledge area that needs to be managed were the knowledge to maintain the stability of process in sulphuric acid process and knowledge to overcome the wastes in battery manufacturing process. The system was expected to be a media acquisition, dissemination and storage of knowledge associated with the uncertainty in the battery supply chain and increase the supply chain performance.

  15. [Development of a microbiology data warehouse (Akita-ReNICS) for networking hospitals in a medical region].

    PubMed

    Ueki, Shigeharu; Kayaba, Hiroyuki; Tomita, Noriko; Kobayashi, Noriko; Takahashi, Tomoe; Obara, Toshikage; Takeda, Masahide; Moritoki, Yuki; Itoga, Masamichi; Ito, Wataru; Ohsaga, Atsushi; Kondoh, Katsuyuki; Chihara, Junichi

    2011-04-01

    The active involvement of hospital laboratory in surveillance is crucial to the success of nosocomial infection control. The recent dramatic increase of antimicrobial-resistant organisms and their spread into the community suggest that the infection control strategy of independent medical institutions is insufficient. To share the clinical data and surveillance in our local medical region, we developed a microbiology data warehouse for networking hospital laboratories in Akita prefecture. This system, named Akita-ReNICS, is an easy-to-use information management system designed to compare, track, and report the occurrence of antimicrobial-resistant organisms. Participating laboratories routinely transfer their coded and formatted microbiology data to ReNICS server located at Akita University Hospital from their health care system's clinical computer applications over the internet. We established the system to automate the statistical processes, so that the participants can access the server to monitor graphical data in the manner they prefer, using their own computer's browser. Furthermore, our system also provides the documents server, microbiology and antimicrobiotic database, and space for long-term storage of microbiological samples. Akita-ReNICS could be a next generation network for quality improvement of infection control.

  16. C-A1-03: Considerations in the Design and Use of an Oracle-based Virtual Data Warehouse

    PubMed Central

    Bredfeldt, Christine; McFarland, Lela

    2011-01-01

    Background/Aims The amount of clinical data available for research is growing exponentially. As it grows, increasing the efficiency of both data storage and data access becomes critical. Relational database management systems (rDBMS) such as Oracle are ideal solutions for managing longitudinal clinical data because they support large-scale data storage and highly efficient data retrieval. In addition, they can greatly simplify the management of large data warehouses, including security management and regular data refreshes. However, the HMORN Virtual Data Warehouse (VDW) was originally designed based on SAS datasets, and this design choice has a number of implications for both the design and use of an Oracle-based VDW. From a design standpoint, VDW tables are designed as flat SAS datasets, which do not take full advantage of Oracle indexing capabilities. From a data retrieval standpoint, standard VDW SAS scripts do not take advantage of SAS pass-through SQL capabilities to enable Oracle to perform the processing required to narrow datasets to the population of interest. Methods Beginning in 2009, the research department at Kaiser Permanente in the Mid-Atlantic States (KPMA) has developed an Oracle-based VDW according to the HMORN v3 specifications. In order to take advantage of the strengths of relational databases, KPMA introduced an interface layer to the VDW data, using views to provide access to standardized VDW variables. In addition, KPMA has developed SAS programs that provide access to SQL pass-through processing for first-pass data extraction into SAS VDW datasets for processing by standard VDW scripts. Results We discuss both the design and performance considerations specific to the KPMA Oracle-based VDW. We benchmarked performance of the Oracle-based VDW using both standard VDW scripts and an initial pre-processing layer to evaluate speed and accuracy of data return. Conclusions Adapting the VDW for deployment in an Oracle environment required minor

  17. Validating Emergency Department Vital Signs Using a Data Quality Engine for Data Warehouse

    PubMed Central

    Genes, N; Chandra, D; Ellis, S; Baumlin, K

    2013-01-01

    Background : Vital signs in our emergency department information system were entered into free-text fields for heart rate, respiratory rate, blood pressure, temperature and oxygen saturation. Objective : We sought to convert these text entries into a more useful form, for research and QA purposes, upon entry into a data warehouse. Methods : We derived a series of rules and assigned quality scores to the transformed values, conforming to physiologic parameters for vital signs across the age range and spectrum of illness seen in the emergency department. Results : Validating these entries revealed that 98% of free-text data had perfect quality scores, conforming to established vital sign parameters. Average vital signs varied as expected by age. Degradations in quality scores were most commonly attributed logging temperature in Fahrenheit instead of Celsius; vital signs with this error could still be transformed for use. Errors occurred more frequently during periods of high triage, though error rates did not correlate with triage volume. Conclusions : In developing a method for importing free-text vital sign data from our emergency department information system, we now have a data warehouse with a broad array of quality-checked vital signs, permitting analysis and correlation with demographics and outcomes. PMID:24403981

  18. 61. VIEW OF WAREHOUSE, MACHINE SHOP, AND HOISTING PLANT, WITH ...

    Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

    61. VIEW OF WAREHOUSE, MACHINE SHOP, AND HOISTING PLANT, WITH FOREBAY ON RIGHT IN FOREGROUND, Prints No. 158 and 159, August 1903 - Electron Hydroelectric Project, Along Puyallup River, Electron, Pierce County, WA

  19. 47. MAIN WAREHOUSE SECOND LEVEL ADDITION Second level was ...

    Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

    47. MAIN WAREHOUSE - SECOND LEVEL ADDITION Second level was added in 1941. Note the variety of building materials used in the wall: cement, bricks and finally cement blocks, with wood topping the entire wall. - Hovden Cannery, 886 Cannery Row, Monterey, Monterey County, CA

  20. 19 CFR 19.13 - Requirements for establishment of warehouse.

    Code of Federal Regulations, 2010 CFR

    2010-04-01

    ...; DEPARTMENT OF THE TREASURY CUSTOMS WAREHOUSES, CONTAINER STATIONS AND CONTROL OF MERCHANDISE THEREIN... secured area separated from the remainder of the premises to be used exclusively for the storage of imported merchandise, domestic spirits, and merchandise subject to internal-revenue tax transferred into...

  1. 5. ROOF DETAIL, LOOKING EAST TOWARD SECOND FLOOR WAREHOUSE FROM ...

    Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

    5. ROOF DETAIL, LOOKING EAST TOWARD SECOND FLOOR WAREHOUSE FROM ROOF OF ASSEMBLY AREA. - Ford Motor Company Long Beach Assembly Plant, Assembly Building, 700 Henry Ford Avenue, Long Beach, Los Angeles County, CA

  2. A Clinical Data Warehouse Based on OMOP and i2b2 for Austrian Health Claims Data.

    PubMed

    Rinner, Christoph; Gezgin, Deniz; Wendl, Christopher; Gall, Walter

    2018-01-01

    To develop simulation models for healthcare related questions clinical data can be reused. Develop a clinical data warehouse to harmonize different data sources in a standardized manner and get a reproducible interface for clinical data reuse. The Kimball life cycle for the development of data warehouse was used. The development is split into the technical, the data and the business intelligence pathway. Sample data was persisted in the Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM). The i2b2 clinical data warehouse tools were used to query the OMOP CDM by applying the new i2b2 multi-fact table feature. A clinical data warehouse was set up and sample data, data dimensions and ontologies for Austrian health claims data were created. The ability of the standardized data access layer to create and apply simulation models will be evaluated next.

  3. 76 FR 66950 - Privacy Act; Notice of Revision of System of Records, the Single Family Housing Enterprise Data...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2011-10-28

    ... Management System (SAMS) 6. F17--Computerized Home Underwriting Mortgage System (CHUMS) 7. F42D--Single... Federal Reserve Board (FRB) 14. F71A--Generic Debt Management System (GDEBT) 15. A15--Geocoding Service... Revision of System of Records, the Single Family Housing Enterprise Data Warehouse AGENCY: Office of the...

  4. ClinData Express – A Metadata Driven Clinical Research Data Management System for Secondary Use of Clinical Data

    PubMed Central

    Li, Zuofeng; Wen, Jingran; Zhang, Xiaoyan; Wu, Chunxiao; Li, Zuogao; Liu, Lei

    2012-01-01

    Aim to ease the secondary use of clinical data in clinical research, we introduce a metadata driven web-based clinical data management system named ClinData Express. ClinData Express is made up of two parts: 1) m-designer, a standalone software for metadata definition; 2) a web based data warehouse system for data management. With ClinData Express, what the researchers need to do is to define the metadata and data model in the m-designer. The web interface for data collection and specific database for data storage will be automatically generated. The standards used in the system and the data export modular make sure of the data reuse. The system has been tested on seven disease-data collection in Chinese and one form from dbGap. The flexibility of system makes its great potential usage in clinical research. The system is available at http://code.google.com/p/clindataexpress. PMID:23304327

  5. 71. South El Paso St., 911 (commercial), east facade, warehouse ...

    Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

    71. South El Paso St., 911 (commercial), east facade, warehouse to left in background - South El Paso Street Historic District, South El Paso, South Oregon & South Santa Fe Streets, El Paso, El Paso County, TX

  6. Concept of Operations for Collaboration and Discovery from Big Data Across Enterprise Data Warehouses

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

    Olama, Mohammed M; Nutaro, James J; Sukumar, Sreenivas R

    2013-01-01

    The success of data-driven business in government, science, and private industry is driving the need for seamless integration of intra and inter-enterprise data sources to extract knowledge nuggets in the form of correlations, trends, patterns and behaviors previously not discovered due to physical and logical separation of datasets. Today, as volume, velocity, variety and complexity of enterprise data keeps increasing, the next generation analysts are facing several challenges in the knowledge extraction process. Towards addressing these challenges, data-driven organizations that rely on the success of their analysts have to make investment decisions for sustainable data/information systems and knowledge discovery. Optionsmore » that organizations are considering are newer storage/analysis architectures, better analysis machines, redesigned analysis algorithms, collaborative knowledge management tools, and query builders amongst many others. In this paper, we present a concept of operations for enabling knowledge discovery that data-driven organizations can leverage towards making their investment decisions. We base our recommendations on the experience gained from integrating multi-agency enterprise data warehouses at the Oak Ridge National Laboratory to design the foundation of future knowledge nurturing data-system architectures.« less

  7. Network Science Research Laboratory (NSRL) Telemetry Warehouse

    DTIC Science & Technology

    2016-06-01

    Functionality and architecture of the NSRL Telemetry Warehouse are also described as well as the web interface, data structure, security aspects, and...Experiment Controller 6 4.5 Telemetry Sensors 7 4.6 Custom Data Processing Nodes 7 5. Web Interface 8 6. Data Structure 8 6.1 Measurements 8...telemetry in comma-separated value (CSV) format from the web interface or via custom applications developed by researchers using the client application

  8. U.S. Naval Base, Pearl Harbor, Retail Warehouse, Fleet Landing Halawa, ...

    Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

    U.S. Naval Base, Pearl Harbor, Retail Warehouse, Fleet Landing Halawa, near Kamehameha Highway between Richardson Recreation Center & USS Arizona Memorial Visitor Center, Pearl City, Honolulu County, HI

  9. 6. VIEW TO WEST, SAMPLING BUILDING, MECHANIC SHED, MILL WAREHOUSE, ...

    Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

    6. VIEW TO WEST, SAMPLING BUILDING, MECHANIC SHED, MILL WAREHOUSE, DRYERS, AND GRINDING/ROD MILL. - Vanadium Corporation of America (VCA) Naturita Mill, 3 miles Northwest of Naturita, between Highway 141 & San Miguel River, Naturita, Montrose County, CO

  10. BOILING HOUSE, GROUND FLOOR. WAREHOUSE TO LEFT REAR, MASSECUITTE HEATERS ...

    Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

    BOILING HOUSE, GROUND FLOOR. WAREHOUSE TO LEFT REAR, MASSECUITTE HEATERS ABOVE RIGHT, LOW GRADE CENTRIFUGALS BELOW. CRYSTALLIZER HOT WATER TANK TO REAR. VIEW FROM NORTHEAST - Lihue Plantation Company, Sugar Mill Building, Haleko Road, Lihue, Kauai County, HI

  11. Can Leader–Member Exchange Contribute to Safety Performance in An Italian Warehouse?

    PubMed Central

    Mariani, Marco G.; Curcuruto, Matteo; Matic, Mirna; Sciacovelli, Paolo; Toderi, Stefano

    2017-01-01

    Introduction: The research considers safety climate in a warehouse and wants to analyze the Leader–Member Exchange (LMX) role in respect to safety performance. Griffin and Neal’s safety model was adopted and Leader-Member Exchange was inserted as moderator in the relationships between safety climate and proximal antecedents (motivation and knowledge) of safety performance constructs (compliance and participation). Materials and Methods: Survey data were collected from a sample of 133 full-time employees in an Italian warehouse. The statistical framework of Hayes (2013) was adopted for moderated mediation analysis. Results: Proximal antecedents partially mediated the relationship between Safety climate and safety participation, but not safety compliance. Moreover, the results from the moderation analysis showed that the Leader–Member Exchange moderated the influence of safety climate on proximal antecedents and the mediation exist only at the higher level of LMX. Conclusion: The study shows that the different aspects of leadership processes interact in explaining individual proficiency in safety practices. Practical Implications: Organizations as warehouses should improve the quality of the relationship between a leader and a subordinate based upon the dimensions of respect, trust, and obligation for high level of safety performance. PMID:28553244

  12. Can Leader-Member Exchange Contribute to Safety Performance in An Italian Warehouse?

    PubMed

    Mariani, Marco G; Curcuruto, Matteo; Matic, Mirna; Sciacovelli, Paolo; Toderi, Stefano

    2017-01-01

    Introduction: The research considers safety climate in a warehouse and wants to analyze the Leader-Member Exchange (LMX) role in respect to safety performance. Griffin and Neal's safety model was adopted and Leader-Member Exchange was inserted as moderator in the relationships between safety climate and proximal antecedents (motivation and knowledge) of safety performance constructs (compliance and participation). Materials and Methods: Survey data were collected from a sample of 133 full-time employees in an Italian warehouse. The statistical framework of Hayes (2013) was adopted for moderated mediation analysis. Results: Proximal antecedents partially mediated the relationship between Safety climate and safety participation, but not safety compliance. Moreover, the results from the moderation analysis showed that the Leader-Member Exchange moderated the influence of safety climate on proximal antecedents and the mediation exist only at the higher level of LMX. Conclusion: The study shows that the different aspects of leadership processes interact in explaining individual proficiency in safety practices. Practical Implications: Organizations as warehouses should improve the quality of the relationship between a leader and a subordinate based upon the dimensions of respect, trust, and obligation for high level of safety performance.

  13. 75 FR 78271 - Privacy Act of 1974: New System of Records

    Federal Register 2010, 2011, 2012, 2013, 2014

    2010-12-15

    ..., 2010 notices for this new system of records, OPM/Central-15, Health Claims Data Warehouse, OPM has... January 31, 2011. FOR FURTHER INFORMATION CONTACT: Gary A. Lukowski, PhD, Manager, Data Analysis, at 202...

  14. 27 CFR 26.45 - Warehouse receipts covering distilled spirits.

    Code of Federal Regulations, 2012 CFR

    2012-04-01

    ... TAX AND TRADE BUREAU, DEPARTMENT OF THE TREASURY LIQUORS LIQUORS AND ARTICLES FROM PUERTO RICO AND THE VIRGIN ISLANDS Products Coming Into the United States From Puerto Rico Dealer Registration and... distilled spirits into the United States from Puerto Rico who sells, or offers for sale, warehouse receipts...

  15. 45. MAIN WAREHOUSE BOTTOM LEVEL Looking south from the ...

    Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

    45. MAIN WAREHOUSE - BOTTOM LEVEL Looking south from the older section of the building (with wooden posts) towards the newer portion, with its cement posts. One of the two elevators to the main floor is visible on the right. - Hovden Cannery, 886 Cannery Row, Monterey, Monterey County, CA

  16. 119. NORTH PLANT GB WAREHOUSE (BUILDING 1607), WITH DISCHARGED TON ...

    Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

    119. NORTH PLANT GB WAREHOUSE (BUILDING 1607), WITH DISCHARGED TON CONTAINERS IN FOREGROUND. VIEW TO SOUTHEAST. - Rocky Mountain Arsenal, Bounded by Ninety-sixth Avenue & Fifty-sixth Avenue, Buckley Road, Quebec Street & Colorado Highway 2, Commerce City, Adams County, CO

  17. Evolutionary Multiobjective Query Workload Optimization of Cloud Data Warehouses

    PubMed Central

    Dokeroglu, Tansel; Sert, Seyyit Alper; Cinar, Muhammet Serkan

    2014-01-01

    With the advent of Cloud databases, query optimizers need to find paretooptimal solutions in terms of response time and monetary cost. Our novel approach minimizes both objectives by deploying alternative virtual resources and query plans making use of the virtual resource elasticity of the Cloud. We propose an exact multiobjective branch-and-bound and a robust multiobjective genetic algorithm for the optimization of distributed data warehouse query workloads on the Cloud. In order to investigate the effectiveness of our approach, we incorporate the devised algorithms into a prototype system. Finally, through several experiments that we have conducted with different workloads and virtual resource configurations, we conclude remarkable findings of alternative deployments as well as the advantages and disadvantages of the multiobjective algorithms we propose. PMID:24892048

  18. COED Transactions, Vol. XI, No. 7 & 8, July/August 1979. A Miniature Automated Warehouse: A Laboratory Teaching Device.

    ERIC Educational Resources Information Center

    Mitchell, Eugene E., Ed.

    A do-it-yourself laboratory course in automated systems designed at the University of Florida is described. Using a working model of a warehouse interfaced with a minicomputer as a working laboratory, the student gains hands-on experience in operations programing and applications of scheduling, materials handling, and heuristic optimization. (BT)

  19. [Designs and thoughts of real world integrated data warehouse from HIS on re-evaluation of post-maketing traditional Chinese medicine].

    PubMed

    Zhuang, Yan; Xie, Bangtie; Weng, Shengxin; Xie, Yanming

    2011-10-01

    To discuss the feasibility and necessity of using HIS data integration to build large data warehouse system which is extensively used on re-evaluation of post-marketing traditional Chinese medicine, and to provide the thought and method of the overall design for it. With domestic and overseas' analysis and comparison on clinical experiments' design based on real world using electronic information system, and with characteristics of HIS in China, a general framework was designed and discussed which refers to design thought, design characteristics, existing problems and solutions and so on. A design scheme of HIS data warehouse on re-evaluation of post-marketing traditional Chinese medicine was presented. The design scheme was proved to be high coherence and low coupling, safe, Universal, efficient and easy to maintain, which can effectively solve the problems many hospitals have faced during the process of HIS data integration.

  20. 7. VIEW TO EAST, MILL WAREHOUSE, DRYERS, GRINDING/ROD MILL, AND ...

    Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

    7. VIEW TO EAST, MILL WAREHOUSE, DRYERS, GRINDING/ROD MILL, AND MECHANIC SHED. - Vanadium Corporation of America (VCA) Naturita Mill, 3 miles Northwest of Naturita, between Highway 141 & San Miguel River, Naturita, Montrose County, CO

  1. Development and implementation of a clinical and business intelligence system for the Florida health data warehouse.

    PubMed

    AlHazme, Raed H; Rana, Arif M; De Lucca, Michael

    2014-01-01

    To develop and implement a Clinical and Business Intelligence (CBI) system for the Florida Health Data Warehouse (FHDW) in order to bridge the gap between Florida's healthcare stakeholders and the health data archived in FHWD. A gap analysis study has been conducted to evaluate the technological divide between the relevant users and FHWD health data, which is maintained by the Broward Regional Health Planning Council (BRHPC). The study revealed a gap between the health care data and the decision makers that utilize the FHDW data. To bridge the gap, a CBI system was proposed, developed and implemented by BRHPC as a viable solution to address this issue, using the System Development Life Cycle methodology. The CBI system was successfully implemented and yielded a number of positive outcomes. In addition to significantly shortening the time required to analyze the health data for decision-making processes, the solution also provided end-users with the ability to automatically track public health parameters. A large amount of data is collected and stored by various health care organizations at the local, state, and national levels. If utilized properly, such data can go a long way in optimizing health care services. CBI systems provide health care organizations with valuable insights for improving patient care, tracking trends for medical research, and for controlling costs. The CBI system has been found quite effective in bridging the gap between Florida's healthcare stake holders and FHDW health data. Consequently, the solution has improved in the planning and coordination of health care services for the state of Florida.

  2. 7 CFR 1421.106 - Warehouse-stored marketing assistance loan collateral.

    Code of Federal Regulations, 2010 CFR

    2010-01-01

    ... 7 Agriculture 10 2010-01-01 2010-01-01 false Warehouse-stored marketing assistance loan collateral. 1421.106 Section 1421.106 Agriculture Regulations of the Department of Agriculture (Continued) COMMODITY CREDIT CORPORATION, DEPARTMENT OF AGRICULTURE LOANS, PURCHASES, AND OTHER OPERATIONS GRAINS AND SIMILARLY HANDLED COMMODITIES-MARKETING...

  3. [Exposure to whole body vibrations in workers moving heavy items by mechanical vehicles in the warehouse of a large retail outlet].

    PubMed

    Siciliano, E; Rossi, A; Nori, L

    2007-01-01

    Efficient warehouse management and item transportation is of fundamental importance in the commercial outlet in exam. Whole body vibrations have been measured in various types of machines, some of which not widely studied yet, like the electrical pallet truck. In some tasks (fork lifts drivers) vibrations propagate through the driving seat whereas in some other tasks (electrical pallet trucks, stackers), operated in a standing posture, vibrations propagate through the lower limbs. Results have been provided for a homogeneous job tasks. In particular conditions, the action level of the Italian national (and European) regulations on occupational exposure to WBV may be exceeded. The authors propose a simple system of probabilistic classification of the risk of exposure to whole body vibrations, based on the respective areas of the distribution which lay within the three risk classes.

  4. Computerized commodity management system in Thailand and Brazil.

    PubMed

    1984-01-01

    Thailand's National Family Planning Program is testing a computerized contraceptive commodity reporting management in 4 provinces with 104 National Family Planning Program (NFPP) reporting entities. Staff in the Brazilian Association of Family Planning Entities (ABEPF) and CPAIMC, a major family planning service agency, have been trained in the use of a computerized commodity distribution management system and are ready to initiate test use. The systems were designed in response to specific commodity management needs of the concerned organizations. Neither distribution program functions as a contraceptive social marketing (CSM) program, but each system reviewed has aspects that are relevant to CSM commodity management needs. Both the Thai and Brazilian systems were designed to be as automatic and user friendly as possible. Both have 3 main databases and perform similar management and reporting functions. Differing program configurations and basic data forms reflect the specific purposes of each system. Databases for the logistics monitoring system in Thailand arethe reporting entity (or ID) file; the current month's data file; and the master balance file. The data source is the basic reporting form that also serves as a Request and Issue Voucher for commodities. Editing functions in the program check to see that the current "beginning balance" equals the previous month's ending balance. Indexing functions in the system allow direct access to the records of any reporting entity via the ID number, as well as the sequential processing of records by ID number. 6 reports can be generated: status report by issuing entity; status report by dispensing entity; aggregate status report; out of compliance products report; out of compliance outlets report; and suggested shipment to regional warehouse report. Databases for the distribution management system in Brazil are: the name-ID (client institution) file; the product file; and the data file. The data source is an order form

  5. Warehouse location and freight attraction in the greater El Paso region.

    DOT National Transportation Integrated Search

    2013-12-01

    This project analyzes the current and future warehouse and distribution center locations along the El Paso-Juarez regions in the U.S.-Mexico border. This research seeks has developed a comprehensive database to aid in decision support process for ide...

  6. How to Construct an Automated Warehouse Based on Colored Timed Petri Nets

    NASA Astrophysics Data System (ADS)

    Cheng, Fei; He, Shanjun

    The automated warehouse considered here consists of a number of rack locations with three cranes, a narrow aisle shuttle, and several buffer stations with the roller. Based on analyzing of the behaviors of the active resources in the system, a modular and computerized model is presented via a colored timed Petri net approach, in which places are multicolored to simplify model and characterize control flow of the resources, and token colors are defined as the routes of storage/retrieval operations. In addition, an approach for realization of model via visual c++ is briefly given. These facts allow us to render an emulate system to simulate a discrete control application for online monitoring, dynamic dispatching control and off-line revising scheduler policies.

  7. 9. VIEW TO SOUTHSOUTHWEST, MINE WAREHOUSE, LABORATORY AND GRINDING/ROD MILL ...

    Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

    9. VIEW TO SOUTH-SOUTHWEST, MINE WAREHOUSE, LABORATORY AND GRINDING/ROD MILL (FOREGROUND), AND SAMPLING BUILDING AND WATER TOWER (BACKGROUND). - Vanadium Corporation of America (VCA) Naturita Mill, 3 miles Northwest of Naturita, between Highway 141 & San Miguel River, Naturita, Montrose County, CO

  8. From field to cloud: a collaborative software tool to manage hydrological observatories

    NASA Astrophysics Data System (ADS)

    Kraft, Philipp; Weber, Chris P.; Windhorst, David; Breuer, Lutz

    2017-04-01

    Managing data collection, assessment, storage, and analysis in hydrological observatories is challenging: Many processes can only be detected when long-term time series are being analysed, but temporary staff like postgraduates perform the measurements. Naturally the students focus on the data needed for their project and do not particularly care about the long-term availability of the data. Data providing new process insights gets often lost in unmaintainable spreadsheets with no clear distinction between raw, error controlled and derived data. Data warehouse systems, like the one developed by the Consortium of Universities for the Advancement of Hydrologic Science (CUAHSI) and strict data management guide lines by funding institutions, intend to mediate this effect. However, data warehouse structures are optimized for write once / read often use and require rigorous quality control and metadata description prior to the upload. Our experience shows a risk for data loss at this stage: Data collected at the end of a project is not reviewed and never enters the database and gets lost with the expiring position. As a solution to this kind of problems, we suggest to enter observation early, if possible online, and perform the review process in the system. We are presenting a new collaborative tool for managing hydrological observatories in a standardized and well documented manner directly from the point of data production, the field. Beside the observation data the system stores the observatory management tasks to ensure regular sampling or sensor maintenance. A second benefit of logging management actions together with observations, is the possibility to interpret side effects of sampling or maintenance actions on measurements. In difference to data warehouse systems, the users do data quality control and sensor calibration directly in the online system. The raw data is not changed but augmented by calibration equations and faulty data points are not deleted but

  9. Customizing a clinical data warehouse for housestaff education in practice-based learning and improvement.

    PubMed

    Lyman, J; Schorling, J; May, N; Scully, K; Sarafian, N; Nadkarni, M; Voss, J

    2006-01-01

    We developed Systems and Practice Analysis for Resident Competencies (SPARC), a Web-based tool to support teaching the practice-based learning and improvement (PBLI) ACGME competencies. SPARC allows Department of Medicine residents to explore de-identified, population-based data about their patient panels with peer comparisons. Data primarily comes from an existing data warehouse that has been customized for this application. Our preliminary evaluation suggests that it improves residents' abilities in PBLI, is easy to use, and perceived as important and useful by the housestaff.

  10. Development and Implementation of a Clinical and Business Intelligence System for the Florida Health Data Warehouse

    PubMed Central

    AlHazme, Raed H.; Rana, Arif M.; De Lucca, Michael

    2014-01-01

    Objective To develop and implement a Clinical and Business Intelligence (CBI) system for the Florida Health Data Warehouse (FHDW) in order to bridge the gap between Florida’s healthcare stakeholders and the health data archived in FHWD. Materials and Methods A gap analysis study has been conducted to evaluate the technological divide between the relevant users and FHWD health data, which is maintained by the Broward Regional Health Planning Council (BRHPC). The study revealed a gap between the health care data and the decision makers that utilize the FHDW data. To bridge the gap, a CBI system was proposed, developed and implemented by BRHPC as a viable solution to address this issue, using the System Development Life Cycle methodology. Results The CBI system was successfully implemented and yielded a number of positive outcomes. In addition to significantly shortening the time required to analyze the health data for decision-making processes, the solution also provided end-users with the ability to automatically track public health parameters. Discussion A large amount of data is collected and stored by various health care organizations at the local, state, and national levels. If utilized properly, such data can go a long way in optimizing health care services. CBI systems provide health care organizations with valuable insights for improving patient care, tracking trends for medical research, and for controlling costs. Conclusion The CBI system has been found quite effective in bridging the gap between Florida’s healthcare stake holders and FHDW health data. Consequently, the solution has improved in the planning and coordination of health care services for the state of Florida. PMID:25379128

  11. Study on resources and environmental data integration towards data warehouse construction covering trans-boundary area of China, Russia and Mongolia

    NASA Astrophysics Data System (ADS)

    Wang, J.; Song, J.; Gao, M.; Zhu, L.

    2014-02-01

    The trans-boundary area between Northern China, Mongolia and eastern Siberia of Russia is a continuous geographical area located in north eastern Asia. Many common issues in this region need to be addressed based on a uniform resources and environmental data warehouse. Based on the practice of joint scientific expedition, the paper presented a data integration solution including 3 steps, i.e., data collection standards and specifications making, data reorganization and process, data warehouse design and development. A series of data collection standards and specifications were drawn up firstly covering more than 10 domains. According to the uniform standard, 20 resources and environmental survey databases in regional scale, and 11 in-situ observation databases were reorganized and integrated. North East Asia Resources and Environmental Data Warehouse was designed, which included 4 layers, i.e., resources layer, core business logic layer, internet interoperation layer, and web portal layer. The data warehouse prototype was developed and deployed initially. All the integrated data in this area can be accessed online.

  12. 19 CFR 7.1 - Puerto Rico; spirits and wines withdrawn from warehouse for shipment to; duty on foreign-grown...

    Code of Federal Regulations, 2011 CFR

    2011-04-01

    ... warehouse for shipment to; duty on foreign-grown coffee. 7.1 Section 7.1 Customs Duties U.S. CUSTOMS AND... warehouse for shipment to; duty on foreign-grown coffee. (a) When spirits and wines are withdrawn from a...-grown coffee shipped to Puerto Rico from the United States, but special Customs invoices shall not be...

  13. PERSPECTIVE VIEW OF THE C. 1930 WAREHOUSE (CURRENT USE: RESTAURANT/OFFICES) ...

    Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

    PERSPECTIVE VIEW OF THE C. 1930 WAREHOUSE (CURRENT USE: RESTAURANT/OFFICES) LOCATED AT 114 MADISON AVENUE, VIEW LOOKING SOUTHWEST FROM THE CORNER OF FIRST STREET AND MADISON AVENUE. - Corvallis Downtown Historic District, Bounded by First & Sixth Streets, Van Buren & Western Avenues, Corvallis, Benton County, OR

  14. 76 FR 13972 - United States Warehouse Act; Export Food Aid Commodities Licensing Agreement

    Federal Register 2010, 2011, 2012, 2013, 2014

    2011-03-15

    ... such as peas, beans and lentils. Current USWA licenses for agricultural products include grain, cotton, nuts, cottonseed, and dry beans. Warehouse operators that apply voluntarily agree to be licensed...

  15. Under EPA Settlement, Chicopee, Mass. Cold Storage Warehouse Company Improves Public Protections

    EPA Pesticide Factsheets

    A Chicopee, Mass., company that operates a cold storage warehouse is spending more than half a million dollars, primarily on public safety enhancements, to resolve claims it violated the federal Clean Air Act's chemical release prevention requirements...

  16. Ten years of maintaining and expanding a microbial genome and metagenome analysis system.

    PubMed

    Markowitz, Victor M; Chen, I-Min A; Chu, Ken; Pati, Amrita; Ivanova, Natalia N; Kyrpides, Nikos C

    2015-11-01

    Launched in March 2005, the Integrated Microbial Genomes (IMG) system is a comprehensive data management system that supports multidimensional comparative analysis of genomic data. At the core of the IMG system is a data warehouse that contains genome and metagenome datasets sequenced at the Joint Genome Institute or provided by scientific users, as well as public genome datasets available at the National Center for Biotechnology Information Genbank sequence data archive. Genomes and metagenome datasets are processed using IMG's microbial genome and metagenome sequence data processing pipelines and are integrated into the data warehouse using IMG's data integration toolkits. Microbial genome and metagenome application specific data marts and user interfaces provide access to different subsets of IMG's data and analysis toolkits. This review article revisits IMG's original aims, highlights key milestones reached by the system during the past 10 years, and discusses the main challenges faced by a rapidly expanding system, in particular the complexity of maintaining such a system in an academic setting with limited budgets and computing and data management infrastructure. Copyright © 2015 Elsevier Ltd. All rights reserved.

  17. 4th level of 1945 warehouse indicating drag conveyor. From here ...

    Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

    4th level of 1945 warehouse indicating drag conveyor. From here screenings were pumped from the elevator leg to this conveyor. The grains were ground, then conveyed back down to the first floor for bagging. - Stewart Company Grain Elevator, 16 West Carson Street, Pittsburgh, Allegheny County, PA

  18. Customizing a Clinical Data Warehouse for Housestaff Education in Practice-Based Learning and Improvement

    PubMed Central

    Lyman, J; Schorling, J; May, N; Scully, K; Sarafian, N; Nadkarni, M; Voss, J

    2006-01-01

    We developed Systems and Practice Analysis for Resident Competencies (SPARC), a Web-based tool to support teaching the practice-based learning and improvement (PBLI) ACGME competencies. SPARC allows Department of Medicine residents to explore de-identified, population-based data about their patient panels with peer comparisons. Data primarily comes from an existing data warehouse that has been customized for this application. Our preliminary evaluation suggests that it improves residents' abilities in PBLI, is easy to use, and is perceived as important and useful by the housestaff. PMID:17238636

  19. The land management and operations database (LMOD)

    USDA-ARS?s Scientific Manuscript database

    This paper presents the design, implementation, deployment, and application of the Land Management and Operations Database (LMOD). LMOD is the single authoritative source for reference land management and operation reference data within the USDA enterprise data warehouse. LMOD supports modeling appl...

  20. The Analytic Information Warehouse (AIW): a Platform for Analytics using Electronic Health Record Data

    PubMed Central

    Post, Andrew R.; Kurc, Tahsin; Cholleti, Sharath; Gao, Jingjing; Lin, Xia; Bornstein, William; Cantrell, Dedra; Levine, David; Hohmann, Sam; Saltz, Joel H.

    2013-01-01

    Objective To create an analytics platform for specifying and detecting clinical phenotypes and other derived variables in electronic health record (EHR) data for quality improvement investigations. Materials and Methods We have developed an architecture for an Analytic Information Warehouse (AIW). It supports transforming data represented in different physical schemas into a common data model, specifying derived variables in terms of the common model to enable their reuse, computing derived variables while enforcing invariants and ensuring correctness and consistency of data transformations, long-term curation of derived data, and export of derived data into standard analysis tools. It includes software that implements these features and a computing environment that enables secure high-performance access to and processing of large datasets extracted from EHRs. Results We have implemented and deployed the architecture in production locally. The software is available as open source. We have used it as part of hospital operations in a project to reduce rates of hospital readmission within 30 days. The project examined the association of over 100 derived variables representing disease and co-morbidity phenotypes with readmissions in five years of data from our institution’s clinical data warehouse and the UHC Clinical Database (CDB). The CDB contains administrative data from over 200 hospitals that are in academic medical centers or affiliated with such centers. Discussion and Conclusion A widely available platform for managing and detecting phenotypes in EHR data could accelerate the use of such data in quality improvement and comparative effectiveness studies. PMID:23402960

  1. 19 CFR 19.20 - Withdrawal of products from bonded smelting or refining warehouses.

    Code of Federal Regulations, 2010 CFR

    2010-04-01

    ... to another bonded warehouse shall be at the risk and expense of the applicant, and the general... far as applicable. (2) In the case of transportation to another port, the transportation entry shall...

  2. 111. DETAIL OF NORTH PLANT RAILROAD SPUR, WITH ASSEMBLY PLANT/WAREHOUSE ...

    Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

    111. DETAIL OF NORTH PLANT RAILROAD SPUR, WITH ASSEMBLY PLANT/WAREHOUSE (BUILDING 1601/1606/1701) AT LEFT AND GB MANUFACTURING PLANT (BUILDING 1501) AT CENTER. VIEW TO NORTH. - Rocky Mountain Arsenal, Bounded by Ninety-sixth Avenue & Fifty-sixth Avenue, Buckley Road, Quebec Street & Colorado Highway 2, Commerce City, Adams County, CO

  3. BioStar models of clinical and genomic data for biomedical data warehouse design

    PubMed Central

    Wang, Liangjiang; Ramanathan, Murali

    2008-01-01

    Biomedical research is now generating large amounts of data, ranging from clinical test results to microarray gene expression profiles. The scale and complexity of these datasets give rise to substantial challenges in data management and analysis. It is highly desirable that data warehousing and online analytical processing technologies can be applied to biomedical data integration and mining. The major difficulty probably lies in the task of capturing and modelling diverse biological objects and their complex relationships. This paper describes multidimensional data modelling for biomedical data warehouse design. Since the conventional models such as star schema appear to be insufficient for modelling clinical and genomic data, we develop a new model called BioStar schema. The new model can capture the rich semantics of biomedical data and provide greater extensibility for the fast evolution of biological research methodologies. PMID:18048122

  4. How Can My State Benefit from an Educational Data Warehouse?

    ERIC Educational Resources Information Center

    Bergner, Terry; Smith, Nancy J.

    2007-01-01

    Imagine if, at the start of the school year, a teacher could have detailed information about the academic history of every student in her or his classroom. This is possible if the teacher can log on to a Web site that provides access to an educational data warehouse. The teacher would see not only several years of state assessment results, but…

  5. 76 FR 13973 - United States Warehouse Act; Processed Agricultural Products Licensing Agreement

    Federal Register 2010, 2011, 2012, 2013, 2014

    2011-03-15

    ... license for the processed agricultural products that are stored in climate controlled, cooler, and freezer..., and dry beans. Warehouse operators voluntarily agree to be licensed, observe the rules for licensing... program for processed agricultural products that are stored in climate controlled, cooler, and freezer...

  6. Edaphostat: interactive ecological analysis of soil organism occurrences and preferences from the Edaphobase data warehouse

    PubMed Central

    Scholz-Starke, Björn; Burkhardt, Ulrich; Lesch, Stephan; Rick, Sebastian; Russell, David; Roß-Nickoll, Martina; Ottermanns, Richard

    2017-01-01

    Abstract The Edaphostat web application allows interactive and dynamic analyses of soil organism data stored in the Edaphobase data warehouse. It is part of the Edaphobase web application and can be accessed by any modern browser. The tool combines data from different sources (publications, field studies and museum collections) and allows species preferences along various environmental gradients (i.e. C/N ratio and pH) and classification systems (habitat type and soil type) to be analyzed. Database URL: Edaphostat is part of the Edaphobase Web Application available at https://portal.edaphobase.org PMID:29220469

  7. Critical Issues in Evaluating National-Level Health Data Warehouses in LMICs: Kenya Case Study.

    PubMed

    Gesicho, Milka B; Babic, Ankica; Were, Martin C

    2017-01-01

    Low-Middle-Income-Countries (LMICs) are beginning to adopt national health data warehousing (NHDWs) for making strategic decisions and for improving health outcomes. Given the numerous challenges likely to be faced in establishment of NHDWs by LMICs, it is prudent that evaluations are done in relation to the data warehouses (DWs), in order to identify and mitigate critical issues that arise. When critic issues are not identified, DWs are prone to suboptimal implementation with compromised outcomes. Despite the fact that several publications exist on evaluating DWs, evaluations specific to health data warehouses are scanty, with almost none evaluating NHDWs more so in LMICs. This paper uses a systematic approach guided by an evaluation framework to identify critical issues to be considered in evaluating Kenya's NHDW.

  8. 49. BOX STAMPING MACHINE Located in room above warehouse. The ...

    Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

    49. BOX STAMPING MACHINE Located in room above warehouse. The power unit is missing, but the drive belt is seen hanging from the overhead. Printing plate of desired labeling would be attached to the lower half drum. Upon rotation, labeling would be transferred to a cardboard box which was being held around the upper drum. - Hovden Cannery, 886 Cannery Row, Monterey, Monterey County, CA

  9. Early development of an enterprise health data warehouse.

    PubMed

    Househ, Mowafa Said; Al-Tuwaijri, Majid

    2011-01-01

    The purpose of this study is to describe early development challenges of an enterprise data warehouse within a Saudi Arabian academic healthcare facility. An action case research method was selected for this paper. The study took place between December 2009 and February 2010. Data collection included interviews, meeting observations, and meeting minutes. Early development challenges centered on the development of clear contracts with vendors; development of a clear project plan; a need to fast-track bureaucracy; and educate clinicians and staff about the project; and lack of data standardization.

  10. Insect pest management decisions in food processing facilities

    USDA-ARS?s Scientific Manuscript database

    Pest management decision making in food processing facilities such as flour mills, rice mills, human and pet food manufacturing facilities, distribution centers and warehouses, and retail stores is a challenging undertaking. Insect pest management programs require an understanding of the food facili...

  11. Data warehouse model for monitoring key performance indicators (KPIs) using goal oriented approach

    NASA Astrophysics Data System (ADS)

    Abdullah, Mohammed Thajeel; Ta'a, Azman; Bakar, Muhamad Shahbani Abu

    2016-08-01

    The growth and development of universities, just as other organizations, depend on their abilities to strategically plan and implement development blueprints which are in line with their vision and mission statements. The actualizations of these statements, which are often designed into goals and sub-goals and linked to their respective actors are better measured by defining key performance indicators (KPIs) of the university. The proposes ReGADaK, which is an extended the GRAnD approach highlights the facts, dimensions, attributes, measures and KPIs of the organization. The measures from the goal analysis of this unit serve as the basis of developing the related university's KPIs. The proposed data warehouse schema is evaluated through expert review, prototyping and usability evaluation. The findings from the evaluation processes suggest that the proposed data warehouse schema is suitable for monitoring the University's KPIs.

  12. Data Foundry: Data Warehousing and Integration for Scientific Data Management

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

    Musick, R.; Critchlow, T.; Ganesh, M.

    2000-02-29

    Data warehousing is an approach for managing data from multiple sources by representing them with a single, coherent point of view. Commercial data warehousing products have been produced by companies such as RebBrick, IBM, Brio, Andyne, Ardent, NCR, Information Advantage, Informatica, and others. Other companies have chosen to develop their own in-house data warehousing solution using relational databases, such as those sold by Oracle, IBM, Informix and Sybase. The typical approaches include federated systems, and mediated data warehouses, each of which, to some extent, makes use of a series of source-specific wrapper and mediator layers to integrate the data intomore » a consistent format which is then presented to users as a single virtual data store. These approaches are successful when applied to traditional business data because the data format used by the individual data sources tends to be rather static. Therefore, once a data source has been integrated into a data warehouse, there is relatively little work required to maintain that connection. However, that is not the case for all data sources. Data sources from scientific domains tend to regularly change their data model, format and interface. This is problematic because each change requires the warehouse administrator to update the wrapper, mediator, and warehouse interfaces to properly read, interpret, and represent the modified data source. Furthermore, the data that scientists require to carry out research is continuously changing as their understanding of a research question develops, or as their research objectives evolve. The difficulty and cost of these updates effectively limits the number of sources that can be integrated into a single data warehouse, or makes an approach based on warehousing too expensive to consider.« less

  13. Overview to the north from near ordnance warehouse A199, showing ...

    Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

    Overview to the north from near ordnance warehouse A-199, showing water tank 188-A, 188-B behind, magazine A-211 at center, and magazine A-212 at far right. The city of Vallejo is in the distance. - Mare Island Naval Shipyard, Fresh Water Tanks, East of Mesa Road & north of Kieper Road, Vallejo, Solano County, CA

  14. Toward best practice: leveraging the electronic patient record as a clinical data warehouse.

    PubMed

    Ledbetter, C S; Morgan, M W

    2001-01-01

    Automating clinical and administrative processes via an electronic patient record (EPR) gives clinicians the point-of-care tools they need to deliver better patient care. However, to improve clinical practice as a whole and then evaluate it, healthcare must go beyond basic automation and convert EPR data into aggregated, multidimensional information. Unfortunately, few EPR systems have the established, powerful analytical clinical data warehouses (CDWs) required for this conversion. This article describes how an organization can support best practice by leveraging a CDW that is fully integrated into its EPR and clinical decision support (CDS) system. The article (1) discusses the requirements for comprehensive CDS, including on-line analytical processing (OLAP) of data at both transactional and aggregate levels, (2) suggests that the transactional data acquired by an OLTP EPR system must be remodeled to support retrospective, population-based, aggregate analysis of those data, and (3) concludes that this aggregate analysis is best provided by a separate CDW system.

  15. Data Warehouse Design from HL7 Clinical Document Architecture Schema.

    PubMed

    Pecoraro, Fabrizio; Luzi, Daniela; Ricci, Fabrizio L

    2015-01-01

    This paper proposes a semi-automatic approach to extract clinical information structured in a HL7 Clinical Document Architecture (CDA) and transform it in a data warehouse dimensional model schema. It is based on a conceptual framework published in a previous work that maps the dimensional model primitives with CDA elements. Its feasibility is demonstrated providing a case study based on the analysis of vital signs gathered during laboratory tests.

  16. An integrative data analysis platform for gene set analysis and knowledge discovery in a data warehouse framework.

    PubMed

    Chen, Yi-An; Tripathi, Lokesh P; Mizuguchi, Kenji

    2016-01-01

    Data analysis is one of the most critical and challenging steps in drug discovery and disease biology. A user-friendly resource to visualize and analyse high-throughput data provides a powerful medium for both experimental and computational biologists to understand vastly different biological data types and obtain a concise, simplified and meaningful output for better knowledge discovery. We have previously developed TargetMine, an integrated data warehouse optimized for target prioritization. Here we describe how upgraded and newly modelled data types in TargetMine can now survey the wider biological and chemical data space, relevant to drug discovery and development. To enhance the scope of TargetMine from target prioritization to broad-based knowledge discovery, we have also developed a new auxiliary toolkit to assist with data analysis and visualization in TargetMine. This toolkit features interactive data analysis tools to query and analyse the biological data compiled within the TargetMine data warehouse. The enhanced system enables users to discover new hypotheses interactively by performing complicated searches with no programming and obtaining the results in an easy to comprehend output format. Database URL: http://targetmine.mizuguchilab.org. © The Author(s) 2016. Published by Oxford University Press.

  17. An integrative data analysis platform for gene set analysis and knowledge discovery in a data warehouse framework

    PubMed Central

    Chen, Yi-An; Tripathi, Lokesh P.; Mizuguchi, Kenji

    2016-01-01

    Data analysis is one of the most critical and challenging steps in drug discovery and disease biology. A user-friendly resource to visualize and analyse high-throughput data provides a powerful medium for both experimental and computational biologists to understand vastly different biological data types and obtain a concise, simplified and meaningful output for better knowledge discovery. We have previously developed TargetMine, an integrated data warehouse optimized for target prioritization. Here we describe how upgraded and newly modelled data types in TargetMine can now survey the wider biological and chemical data space, relevant to drug discovery and development. To enhance the scope of TargetMine from target prioritization to broad-based knowledge discovery, we have also developed a new auxiliary toolkit to assist with data analysis and visualization in TargetMine. This toolkit features interactive data analysis tools to query and analyse the biological data compiled within the TargetMine data warehouse. The enhanced system enables users to discover new hypotheses interactively by performing complicated searches with no programming and obtaining the results in an easy to comprehend output format. Database URL: http://targetmine.mizuguchilab.org PMID:26989145

  18. Information warehouse - a comprehensive informatics platform for business, clinical, and research applications.

    PubMed

    Kamal, Jyoti; Liu, Jianhua; Ostrander, Michael; Santangelo, Jennifer; Dyta, Ravi; Rogers, Patrick; Mekhjian, Hagop S

    2010-11-13

    Since its inception in 1997, the IW (Information Warehouse) at the Ohio State University Medical Center (OSUMC) has gradually transformed itself from a single purpose business decision support system to a comprehensive informatics platform supporting basic, clinical, and translational research. The IW today is the combination of four integrated components: a clinical data repository containing over a million patients; a research data repository housing various research specific data; an application development platform for building business and research enabling applications; a business intelligence environment assisting in reporting in all function areas. The IW is structured and encoded using standard terminologies such as SNOMED-CT, ICD, and CPT. The IW is an important component of OSUMC's Clinical and Translational Science Award (CTSA) informatics program.

  19. Expanding Midscale Solar: Examining the Economic Potential, Barriers, and Opportunities at Offices, Hotels, Warehouses, and Universities

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

    Bird, Lori; Gagnon, Pieter; Heeter, Jenny

    The midscale market for solar photovoltaics (PV), defined as behind-the-meter systems between 100 kW and 2 MW, has grown more slowly than other PV market segments in recent years. A number of key barriers have impeded growth, including tenant and landlord split incentives, contracting challenges, the mismatch in building lease and PV financing terms, and high transaction costs relative to project sizes. This report explores prospects for expansion of the midscale solar market, with a focus on four building segments: offices, hotels, warehouses, and universities.

  20. Hubble Space Telescope: the new telemetry archiving system

    NASA Astrophysics Data System (ADS)

    Miebach, Manfred P.

    2000-07-01

    The Hubble Space Telescope (HST), the first of NASA's Great Observatories, was launched on April 24, 1990. The HST was designed for a minimum fifteen-year mission with on-orbit servicing by the Space Shuttle System planned at approximately three-year intervals. Major changes to the HST ground system have been implemented for the third servicing mission in December 1999. The primary objectives of the ground system re- engineering effort, a project called 'Vision 2000 Control Center System (CCS),' are to reduce both development and operating costs significantly for the remaining years of HST's lifetime. Development costs are reduced by providing a more modern hardware and software architecture and utilizing commercial off the shelf (COTS) products wherever possible. Part of CCS is a Space Telescope Engineering Data Store, the design of which is based on current Data Warehouse technology. The Data Warehouse (Red Brick), as implemented in the CCS Ground System that operates and monitors the Hubble Space Telescope, represents the first use of a commercial Data Warehouse to manage engineering data. The purpose of this data store is to provide a common data source of telemetry data for all HST subsystems. This data store will become the engineering data archive and will provide a queryable database for the user to analyze HST telemetry. The access to the engineering data in the Data Warehouse is platform-independent from an office environment using commercial standards (Unix, Windows98/NT). The latest Internet technology is used to reach the HST engineering community. A WEB-based user interface allows easy access to the data archives. This paper will provide a CCS system overview and will illustrate some of the CCS telemetry capabilities: in particular the use of the new Telemetry Archiving System. Vision 20001 is an ambitious project, but one that is well under way. It will allow the HST program to realize reduced operations costs for the Third Servicing Mission and

  1. 77 FR 20353 - United States Warehouse Act; Export Food Aid Commodities Licensing Agreement

    Federal Register 2010, 2011, 2012, 2013, 2014

    2012-04-04

    ... States Warehouse Act; Export Food Aid Commodities Licensing Agreement AGENCY: Farm Service Agency, USDA... the new Export Food Aid Commodities (EFAC) licensing agreement offered by the Farm Service Agency (FSA.... This licensing agreement was developed in response to concerns of export food aid providers...

  2. Finding of No Significant Impact and Finding of No Practicable Alternative Construction of a Warehouse Complex MacDill Air Force Base, Florida

    DTIC Science & Technology

    2010-05-31

    that Federal agencies identify and assess environmental health and safety risks that might disproportionately affect children. The Proposed Action...extra water is sent to one irrigation field near Golf Course Avenue and Affected Environment Environmental Assessment for Warehouse Complex...the area . Environmental Consequences Environmental Assessment for Warehouse Complex MacDill AFB, Florida FEBRUARY 2010 4-15 FINAL Figure

  3. Use of synthesized data to support complex ad-hoc queries in an enterprise information warehouse: a diabetes use case.

    PubMed

    Rogers, Patrick; Erdal, Selnur; Santangelo, Jennifer; Liu, Jianhua; Schuster, Dara; Kamal, Jyoti

    2008-11-06

    The Ohio State University Medical Center (OSUMC) Information Warehouse (IW) is a comprehensive data warehousing facility incorporating operational, clinical, and biological data sets from multiple enterprise system. It is common for users of the IW to request complex ad-hoc queries that often require significant intervention by data analyst. In response to this challenge, we have designed a workflow that leverages synthesized data elements to support such queries in an more timely, efficient manner.

  4. Customer and household matching: resolving entity identity in data warehouses

    NASA Astrophysics Data System (ADS)

    Berndt, Donald J.; Satterfield, Ronald K.

    2000-04-01

    The data preparation and cleansing tasks necessary to ensure high quality data are among the most difficult challenges faced in data warehousing and data mining projects. The extraction of source data, transformation into new forms, and loading into a data warehouse environment are all time consuming tasks that can be supported by methodologies and tools. This paper focuses on the problem of record linkage or entity matching, tasks that can be very important in providing high quality data. Merging two or more large databases into a single integrated system is a difficult problem in many industries, especially in the wake of acquisitions. For example, managing customer lists can be challenging when duplicate entries, data entry problems, and changing information conspire to make data quality an elusive target. Common tasks with regard to customer lists include customer matching to reduce duplicate entries and household matching to group customers. These often O(n2) problems can consume significant resources, both in computing infrastructure and human oversight, and the goal of high accuracy in the final integrated database can be difficult to assure. This paper distinguishes between attribute corruption and entity corruption, discussing the various impacts on quality. A metajoin operator is proposed and used to organize past and current entity matching techniques. Finally, a logistic regression approach to implementing the metajoin operator is discussed and illustrated with an example. The metajoin can be used to determine whether two records match, don't match, or require further evaluation by human experts. Properly implemented, the metajoin operator could allow the integration of individual databases with greater accuracy and lower cost.

  5. Space shuttle/food system study. Volume 2, Appendix G: Ground support system analysis. Appendix H: Galley functional details analysis

    NASA Technical Reports Server (NTRS)

    1974-01-01

    The capabilities for preflight feeding of flight personnel and the supply and control of the space shuttle flight food system were investigated to determine ground support requirements; and the functional details of an onboard food system galley are shown in photographic mockups. The elements which were identified as necessary to the efficient accomplishment of ground support functions include the following: (1) administration; (2) dietetics; (3) analytical laboratories; (4) flight food warehouse; (5) stowage module assembly area; (6) launch site module storage area; (7) alert crew restaurant and disperse crew galleys; (8) ground food warehouse; (9) manufacturing facilities; (10) transport; and (11) computer support. Each element is discussed according to the design criteria of minimum cost, maximum flexibility, reliability, and efficiency consistent with space shuttle requirements. The galley mockup overview illustrates the initial operation configuration, food stowage locations, meal assembly and serving trays, meal preparation configuration, serving, trash management, and the logistics of handling and cleanup equipment.

  6. Probabilistic techniques for obtaining accurate patient counts in Clinical Data Warehouses

    PubMed Central

    Myers, Risa B.; Herskovic, Jorge R.

    2011-01-01

    Proposal and execution of clinical trials, computation of quality measures and discovery of correlation between medical phenomena are all applications where an accurate count of patients is needed. However, existing sources of this type of patient information, including Clinical Data Warehouses (CDW) may be incomplete or inaccurate. This research explores applying probabilistic techniques, supported by the MayBMS probabilistic database, to obtain accurate patient counts from a clinical data warehouse containing synthetic patient data. We present a synthetic clinical data warehouse (CDW), and populate it with simulated data using a custom patient data generation engine. We then implement, evaluate and compare different techniques for obtaining patients counts. We model billing as a test for the presence of a condition. We compute billing’s sensitivity and specificity both by conducting a “Simulated Expert Review” where a representative sample of records are reviewed and labeled by experts, and by obtaining the ground truth for every record. We compute the posterior probability of a patient having a condition through a “Bayesian Chain”, using Bayes’ Theorem to calculate the probability of a patient having a condition after each visit. The second method is a “one-shot” approach that computes the probability of a patient having a condition based on whether the patient is ever billed for the condition Our results demonstrate the utility of probabilistic approaches, which improve on the accuracy of raw counts. In particular, the simulated review paired with a single application of Bayes’ Theorem produces the best results, with an average error rate of 2.1% compared to 43.7% for the straightforward billing counts. Overall, this research demonstrates that Bayesian probabilistic approaches improve patient counts on simulated patient populations. We believe that total patient counts based on billing data are one of the many possible applications of our

  7. 110. NORTH PLANT RAILROAD SPUR, WITH ASSEMBLY PLANT/WAREHOUSE (BUILDING 1601/1606/1701) ...

    Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

    110. NORTH PLANT RAILROAD SPUR, WITH ASSEMBLY PLANT/WAREHOUSE (BUILDING 1601/1606/1701) AT LEFT AND GB MANUFACTURING PLANT (BUILDING 1501) AT CENTER. VIEW TO NORTH. - Rocky Mountain Arsenal, Bounded by Ninety-sixth Avenue & Fifty-sixth Avenue, Buckley Road, Quebec Street & Colorado Highway 2, Commerce City, Adams County, CO

  8. Joint and Coalition Tactical Networking: There’s an App for That! Improving Affordability and Accelerating Innovation in Tactical Networking Using the Joint Tactical Radio System Enterprise Business Model

    DTIC Science & Technology

    2012-04-30

    to the Secretary of the Army. He served as commander of the Software Engineering Center-Belvoir (SEC-B). He was then assigned as the project manager ... Science in systems management from the Naval Postgraduate School, and a PhD in business administration from Madison University. He also has graduate...Configuration Management System (Warehouse) • Markings Scan • Metrics Scan • Standards Scan • Static Assessment • Build Audit / Build • Quick

  9. CoryneRegNet: an ontology-based data warehouse of corynebacterial transcription factors and regulatory networks.

    PubMed

    Baumbach, Jan; Brinkrolf, Karina; Czaja, Lisa F; Rahmann, Sven; Tauch, Andreas

    2006-02-14

    The application of DNA microarray technology in post-genomic analysis of bacterial genome sequences has allowed the generation of huge amounts of data related to regulatory networks. This data along with literature-derived knowledge on regulation of gene expression has opened the way for genome-wide reconstruction of transcriptional regulatory networks. These large-scale reconstructions can be converted into in silico models of bacterial cells that allow a systematic analysis of network behavior in response to changing environmental conditions. CoryneRegNet was designed to facilitate the genome-wide reconstruction of transcriptional regulatory networks of corynebacteria relevant in biotechnology and human medicine. During the import and integration process of data derived from experimental studies or literature knowledge CoryneRegNet generates links to genome annotations, to identified transcription factors and to the corresponding cis-regulatory elements. CoryneRegNet is based on a multi-layered, hierarchical and modular concept of transcriptional regulation and was implemented by using the relational database management system MySQL and an ontology-based data structure. Reconstructed regulatory networks can be visualized by using the yFiles JAVA graph library. As an application example of CoryneRegNet, we have reconstructed the global transcriptional regulation of a cellular module involved in SOS and stress response of corynebacteria. CoryneRegNet is an ontology-based data warehouse that allows a pertinent data management of regulatory interactions along with the genome-scale reconstruction of transcriptional regulatory networks. These models can further be combined with metabolic networks to build integrated models of cellular function including both metabolism and its transcriptional regulation.

  10. Information Warehouse – A Comprehensive Informatics Platform for Business, Clinical, and Research Applications

    PubMed Central

    Kamal, Jyoti; Liu, Jianhua; Ostrander, Michael; Santangelo, Jennifer; Dyta, Ravi; Rogers, Patrick; Mekhjian, Hagop S.

    2010-01-01

    Since its inception in 1997, the IW (Information Warehouse) at the Ohio State University Medical Center (OSUMC) has gradually transformed itself from a single purpose business decision support system to a comprehensive informatics platform supporting basic, clinical, and translational research. The IW today is the combination of four integrated components: a clinical data repository containing over a million patients; a research data repository housing various research specific data; an application development platform for building business and research enabling applications; a business intelligence environment assisting in reporting in all function areas. The IW is structured and encoded using standard terminologies such as SNOMED-CT, ICD, and CPT. The IW is an important component of OSUMC’s Clinical and Translational Science Award (CTSA) informatics program. PMID:21347019

  11. The Structure of Reclaiming Warehouse of Minerals at Open-Cut Mines with the Use Combined Transport

    NASA Astrophysics Data System (ADS)

    Ikonnikov, D. A.; Kovshov, S. V.

    2017-07-01

    In the article performed an analysis of ore reclaiming and overloading point characteristics at modern opencast mines. Ore reclaiming represents the most effective way of stability support of power-intensive and expensive technological dressing process, and, consequently, of maintenance of the optimal production and set-up parameters of extraction and quality of finished product. The paper proposed the construction of the warehouse describing the technology of its creation. Equipment used for the warehouse described in detail. All stages of development and operation was shown. Advantages and disadvantages of using mechanical shovel excavator and hydraulic excavator “backdigger” as a reloading and reclaiming equipment was compared. Ore reclaiming and overloading point construction at cyclical and continuous method of mining using a hydraulic excavator “backdigger” was proposed.

  12. Emergency Medical Service Information System:the ARES 118 experience.

    PubMed

    Ientile, D A; Cardinale, M A; Cataldi, S; Parafati, M; Pasquarella, A; Trani, N; Corradi, M P

    2017-01-01

    In this paper we describe ARES 118, the prehospital Emergency Medical Service of the Region Lazio, Italy, focusing on its data system used to populate a data warehouse and to create ad hoc reports. ARES 118 is a regional public mono-specialized health company, established in 2004, that manages the emergency care throughout the Region Lazio. Being a peculiar company in its kind, and being the first experience of this kind in Italy, ARES 118 has begun to equip itself, in an autonomous way, with a corporate information system, starting from what already existed as data collection from the individual provincial operating Centers and then by activating a unique information system at a regional and company level by deploying a data warehouse. All operations were carried out using open source software. Currently, ARES 118 is equipped with a business information system that enables data collection with its storage, management and processing of the same in fairly and easy way. The system allows the production of specific reports and measures modulated on the user requests in order to highlight the different aspects of the activity. The production of ad hoc reports, with the possibility of developing specific indicators, allows the identification and analysis of critical areas/processes in order to implement any corrective actions and monitor the effectiveness of the sam.

  13. PRMS Data Warehousing Prototype

    NASA Technical Reports Server (NTRS)

    Guruvadoo, Eranna K.

    2001-01-01

    Project and Resource Management System (PRMS) is a web-based, mid-level management tool developed at KSC to provide a unified enterprise framework for Project and Mission management. The addition of a data warehouse as a strategic component to the PRMS is investigated through the analysis design and implementation processes of a data warehouse prototype. As a proof of concept, a demonstration of the prototype with its OLAP's technology for multidimensional data analysis is made. The results of the data analysis and the design constraints are discussed. The prototype can be used to motivate interest and support for an operational data warehouse.

  14. PRMS Data Warehousing Prototype

    NASA Technical Reports Server (NTRS)

    Guruvadoo, Eranna K.

    2002-01-01

    Project and Resource Management System (PRMS) is a web-based, mid-level management tool developed at KSC to provide a unified enterprise framework for Project and Mission management. The addition of a data warehouse as a strategic component to the PRMS is investigated through the analysis, design and implementation processes of a data warehouse prototype. As a proof of concept, a demonstration of the prototype with its OLAP's technology for multidimensional data analysis is made. The results of the data analysis and the design constraints are discussed. The prototype can be used to motivate interest and support for an operational data warehouse.

  15. Identification of potential surgical site infections leveraging an enterprise clinical information warehouse.

    PubMed

    Santangelo, Jennifer; Erdal, Selnur; Wellington, Linda; Mekhjian, Hagop; Kamal, Jyoti

    2008-11-06

    At The Ohio State University Medical Center (OSUMC), infection control practitioners (ICPs) need an accurate list of patients undergoing defined operative procedures to track surgical site infections. Using data from the OSUMC Information Warehouse (IW), we have created an automated report detailing required data. This report also displays associated surgical and pathology text or dictated reports providing additional information to the ICPs.

  16. ADM. Warehouse (TAN604). Elevations and sections. Ralph M. Parsons 9022ANP604A ...

    Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

    ADM. Warehouse (TAN-604). Elevations and sections. Ralph M. Parsons 902-2-ANP-604-A 56. Date: December 1952. Approved by INEEL Classification Office for public release. INEEL index code no. 035-0604-00-693-106728 - Idaho National Engineering Laboratory, Test Area North, Scoville, Butte County, ID

  17. 31 CFR 537.417 - Importation into a bonded warehouse or foreign trade zone.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ... 31 Money and Finance:Treasury 3 2014-07-01 2014-07-01 false Importation into a bonded warehouse or foreign trade zone. 537.417 Section 537.417 Money and Finance: Treasury Regulations Relating to Money and Finance (Continued) OFFICE OF FOREIGN ASSETS CONTROL, DEPARTMENT OF THE TREASURY BURMESE SANCTIONS REGULATIONS Interpretations § 537.417...

  18. Analysis of Relationship between Levofloxacin and Corrected QT Prolongation Using a Clinical Data Warehouse

    PubMed Central

    Park, Man Young; Kim, Eun Yeob; Lee, Young Ho; Kim, Woojae; Kim, Ku Sang; Sheen, Seung Soo; Lim, Hong Seok

    2011-01-01

    Objective The aim of this study was to examine whether or not levofloxacin has any relationship with QT prolongation in a real clinical setting by analyzing a clinical data warehouse of data collected from different hospital information systems. Methods Electronic prescription data and medical charts from 3 different hospitals spanning the past 9 years were reviewed, and a clinical data warehouse was constructed. Patients who were both administrated levofloxacin and given electrocardiograms (ECG) were selected. The correlations between various patient characteristics, concomitant drugs, corrected QT (QTc) prolongation, and the interval difference in QTc before and after levofloxacin administration were analyzed. Results A total of 2,176 patients from 3 different hospitals were included in the study. QTc prolongation was found in 364 patients (16.7%). The study revealed that age (OR 1.026, p < 0.001), gender (OR 0.676, p = 0.007), body temperature (OR 1.267, p = 0.024), and cigarette smoking (OR 1.641, p = 0.022) were related with QTc prolongation. After adjusting for related factors, 12 drugs concomitant with levofloxacin were associated with QTc prolongation. For patients who took ECGs before and after administration of levofloxacin during their hospitalization (n = 112), there was no significant difference in QTc prolongation. Conclusions The age, gender, body temperature, cigarette smoking and various concomitant drugs might be related with QTc prolongation. However, there was no definite causal relationship or interaction between levofloxacin and QTc prolongation. Alternative surveillance methods utilizing the massive accumulation of electronic medical data seem to be essential to adverse drug reaction surveillance in future. PMID:21818458

  19. Three Tier-Level Architecture Data Warehouse Design of Civil Servant Data in Minahasa Regency

    NASA Astrophysics Data System (ADS)

    Tangkawarow, I. R. H. T.; Runtuwene, J. P. A.; Sangkop, F. I.; Ngantung, L. V. F.

    2018-02-01

    Minahasa Regency is one of the regencies in North Sulawesi Province. In running the government in Minahasa Regency, a Regent is assisted by more than 6000 people Civil Servants (PNS) scattered in 60 SKPD. Badan Kepegawaian Diklat Daerah (BKDD) of Minahasa Regency is SKPD that performs data processing of all civil servants and is responsible for arranging and formatting civil servants. In the process of arranging and determining the formation of civil servants, many obstacles faced by BKDD. One of the obstacles is the unavailability of accurate data about the amount of educational background of civil servants based on rank/class, age, length of service, department, and so forth. The way to overcome the availability of data quickly and accurately is to do Business analytical. This process can be done by designing the data warehouse first. The design of data warehouse will be done by dividing it into three tiers of level.

  20. The AIChE "Concept Warehouse": A Web-Based Tool to Promote Concept-Based Instruction

    ERIC Educational Resources Information Center

    Koretsky, Milo D.; Falconer, John L.; Brooks, Bill J.; Gilbuena, Debra M.; Silverstein, David L.; Smith, Christina; Miletic, Marina

    2014-01-01

    This paper describes the "AIChE Concept Warehouse," a recently developed web-based instructional tool that enables faculty within the discipline of chemical engineering to better provide their students concept-based instruction. It currently houses over 2,000 concept questions and 10 concept inventories pertinent to courses throughout…

  1. Factors That Affect a School District's Ability to Successfully Implement the Use of Data Warehouse Applications in the Data Driven Decision Making Process

    ERIC Educational Resources Information Center

    DeLoach, Robin

    2012-01-01

    The purpose of this study was to explore the factors that influence the ability of teachers and administrators to use data obtained from a data warehouse to inform instruction. The mixed methods study was guided by the following questions: 1) What data warehouse application features affect the ability of an educator to effectively use the…

  2. 78 FR 65300 - Notice of Availability (NOA) for General Purpose Warehouse and Information Technology Center...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-10-31

    ... (NOA) for General Purpose Warehouse and Information Technology Center Construction (GPW/IT)--Tracy Site-- Environmental Assessment AGENCY: Defense Logistics Agency, DoD. ACTION: Notice of Availability (NOA) for GPW/IT--Tracy Site-- Environmental Assessment. SUMMARY: The Defense Logistics Agency (DLA) announces the...

  3. CoryneRegNet: An ontology-based data warehouse of corynebacterial transcription factors and regulatory networks

    PubMed Central

    Baumbach, Jan; Brinkrolf, Karina; Czaja, Lisa F; Rahmann, Sven; Tauch, Andreas

    2006-01-01

    Background The application of DNA microarray technology in post-genomic analysis of bacterial genome sequences has allowed the generation of huge amounts of data related to regulatory networks. This data along with literature-derived knowledge on regulation of gene expression has opened the way for genome-wide reconstruction of transcriptional regulatory networks. These large-scale reconstructions can be converted into in silico models of bacterial cells that allow a systematic analysis of network behavior in response to changing environmental conditions. Description CoryneRegNet was designed to facilitate the genome-wide reconstruction of transcriptional regulatory networks of corynebacteria relevant in biotechnology and human medicine. During the import and integration process of data derived from experimental studies or literature knowledge CoryneRegNet generates links to genome annotations, to identified transcription factors and to the corresponding cis-regulatory elements. CoryneRegNet is based on a multi-layered, hierarchical and modular concept of transcriptional regulation and was implemented by using the relational database management system MySQL and an ontology-based data structure. Reconstructed regulatory networks can be visualized by using the yFiles JAVA graph library. As an application example of CoryneRegNet, we have reconstructed the global transcriptional regulation of a cellular module involved in SOS and stress response of corynebacteria. Conclusion CoryneRegNet is an ontology-based data warehouse that allows a pertinent data management of regulatory interactions along with the genome-scale reconstruction of transcriptional regulatory networks. These models can further be combined with metabolic networks to build integrated models of cellular function including both metabolism and its transcriptional regulation. PMID:16478536

  4. Solar system installation at Louisville, Kentucky

    NASA Technical Reports Server (NTRS)

    1978-01-01

    The installation of a solar space heating and domestic hot water system is described. The overall philosophy used was to install both a liquid and a hot air system retrofitted to existing office and combined warehouse building. The 1080 sq. ft. office space is heated first and excess heat is dumped into the warehouse. The two systems offer a unique opportunity to measure the performance and compare results of both air and liquid at one site.

  5. Clinical research data warehouse governance for distributed research networks in the USA: a systematic review of the literature

    PubMed Central

    Holmes, John H; Elliott, Thomas E; Brown, Jeffrey S; Raebel, Marsha A; Davidson, Arthur; Nelson, Andrew F; Chung, Annie; La Chance, Pierre; Steiner, John F

    2014-01-01

    Objective To review the published, peer-reviewed literature on clinical research data warehouse governance in distributed research networks (DRNs). Materials and methods Medline, PubMed, EMBASE, CINAHL, and INSPEC were searched for relevant documents published through July 31, 2013 using a systematic approach. Only documents relating to DRNs in the USA were included. Documents were analyzed using a classification framework consisting of 10 facets to identify themes. Results 6641 documents were retrieved. After screening for duplicates and relevance, 38 were included in the final review. A peer-reviewed literature on data warehouse governance is emerging, but is still sparse. Peer-reviewed publications on UK research network governance were more prevalent, although not reviewed for this analysis. All 10 classification facets were used, with some documents falling into two or more classifications. No document addressed costs associated with governance. Discussion Even though DRNs are emerging as vehicles for research and public health surveillance, understanding of DRN data governance policies and procedures is limited. This is expected to change as more DRN projects disseminate their governance approaches as publicly available toolkits and peer-reviewed publications. Conclusions While peer-reviewed, US-based DRN data warehouse governance publications have increased, DRN developers and administrators are encouraged to publish information about these programs. PMID:24682495

  6. Ad Hoc Information Extraction for Clinical Data Warehouses.

    PubMed

    Dietrich, Georg; Krebs, Jonathan; Fette, Georg; Ertl, Maximilian; Kaspar, Mathias; Störk, Stefan; Puppe, Frank

    2018-05-01

    Clinical Data Warehouses (CDW) reuse Electronic health records (EHR) to make their data retrievable for research purposes or patient recruitment for clinical trials. However, much information are hidden in unstructured data like discharge letters. They can be preprocessed and converted to structured data via information extraction (IE), which is unfortunately a laborious task and therefore usually not available for most of the text data in CDW. The goal of our work is to provide an ad hoc IE service that allows users to query text data ad hoc in a manner similar to querying structured data in a CDW. While search engines just return text snippets, our systems also returns frequencies (e.g. how many patients exist with "heart failure" including textual synonyms or how many patients have an LVEF < 45) based on the content of discharge letters or textual reports for special investigations like heart echo. Three subtasks are addressed: (1) To recognize and to exclude negations and their scopes, (2) to extract concepts, i.e. Boolean values and (3) to extract numerical values. We implemented an extended version of the NegEx-algorithm for German texts that detects negations and determines their scope. Furthermore, our document oriented CDW PaDaWaN was extended with query functions, e.g. context sensitive queries and regex queries, and an extraction mode for computing the frequencies for Boolean and numerical values. Evaluations in chest X-ray reports and in discharge letters showed high F1-scores for the three subtasks: Detection of negated concepts in chest X-ray reports with an F1-score of 0.99 and in discharge letters with 0.97; of Boolean values in chest X-ray reports about 0.99, and of numerical values in chest X-ray reports and discharge letters also around 0.99 with the exception of the concept age. The advantages of an ad hoc IE over a standard IE are the low development effort (just entering the concept with its variants), the promptness of the results and the

  7. The optimal retailer's ordering policies with trade credit financing and limited storage capacity in the supply chain system

    NASA Astrophysics Data System (ADS)

    Yen, Ghi-Feng; Chung, Kun-Jen; Chen, Tzung-Ching

    2012-11-01

    The traditional economic order quantity model assumes that the retailer's storage capacity is unlimited. However, as we all know, the capacity of any warehouse is limited. In practice, there usually exist various factors that induce the decision-maker of the inventory system to order more items than can be held in his/her own warehouse. Therefore, for the decision-maker, it is very practical to determine whether or not to rent other warehouses. In this article, we try to incorporate two levels of trade credit and two separate warehouses (own warehouse and rented warehouse) to establish a new inventory model to help the decision-maker to make the decision. Four theorems are provided to determine the optimal cycle time to generalise some existing articles. Finally, the sensitivity analysis is executed to investigate the effects of the various parameters on ordering policies and annual costs of the inventory system.

  8. Identification of Relationships Between Patients Through Elements in a Data Warehouse Using the Familial, Associational, and Incidental Relationship (FAIR) Initiative: A Pilot Study

    PubMed Central

    2015-01-01

    Background Over the last several years there has been widespread development of medical data warehouses. Current data warehouses focus on individual cases, but lack the ability to identify family members that could be used for dyadic or familial research. Currently, the patient’s family history in the medical record is the only documentation we have to understand the health status and social habits of their family members. Identifying familial linkages in a phenotypic data warehouse can be valuable in cohort identification and in beginning to understand the interactions of diseases among families. Objective The goal of the Familial, Associational, & Incidental Relationships (FAIR) initiative is to identify an index set of patients’ relationships through elements in a data warehouse. Methods Using a test set of 500 children, we measured the sensitivity and specificity of available linkage algorithm identifiers (eg, insurance identification numbers and phone numbers) and validated this tool/algorithm through a manual chart audit. Results Of all the children, 52.4% (262/500) were male, and the mean age of the cohort was 8 years old (SD 5). Of the children, 51.6% (258/500) were identified as white in race. The identifiers used for FAIR were available for the majority of patients: insurance number (483/500, 96.6%), phone number (500/500, 100%), and address (497/500, 99.4%). When utilizing the FAIR tool and various combinations of identifiers, sensitivity ranged from 15.5% (62/401) to 83.8% (336/401), and specificity from 72% (71/99) to 100% (99/99). The preferred method was matching patients using insurance or phone number, which had a sensitivity of 72.1% (289/401) and a specificity of 94% (93/99). Using the Informatics for Integrating Biology and the Bedside (i2b2) warehouse infrastructure, we have now developed a Web app that facilitates FAIR for any index population. Conclusions FAIR is a valuable research and clinical resource that extends the capabilities of

  9. 37. Mass meeting held July 9th, 1918, in warehouse no.2 ...

    Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

    37. Mass meeting held July 9th, 1918, in warehouse no.2 on the Fleet Supply Base, Brooklyn, New York col Americo Pio is speaking in Italian. View depicts one of the activities mounted by Turner Construction Company to stimulates labor enthusiasm during its 1918 construction projects for the U.S. Navy and U.s. Army. - U.S. Navy Fleet Supply Base, Storehouse No. 1, 830 Third Avenue, Brooklyn, Kings County, NY

  10. What Information Does Your EHR Contain? Automatic Generation of a Clinical Metadata Warehouse (CMDW) to Support Identification and Data Access Within Distributed Clinical Research Networks.

    PubMed

    Bruland, Philipp; Doods, Justin; Storck, Michael; Dugas, Martin

    2017-01-01

    Data dictionaries provide structural meta-information about data definitions in health information technology (HIT) systems. In this regard, reusing healthcare data for secondary purposes offers several advantages (e.g. reduce documentation times or increased data quality). Prerequisites for data reuse are its quality, availability and identical meaning of data. In diverse projects, research data warehouses serve as core components between heterogeneous clinical databases and various research applications. Given the complexity (high number of data elements) and dynamics (regular updates) of electronic health record (EHR) data structures, we propose a clinical metadata warehouse (CMDW) based on a metadata registry standard. Metadata of two large hospitals were automatically inserted into two CMDWs containing 16,230 forms and 310,519 data elements. Automatic updates of metadata are possible as well as semantic annotations. A CMDW allows metadata discovery, data quality assessment and similarity analyses. Common data models for distributed research networks can be established based on similarity analyses.

  11. Anchor Modeling

    NASA Astrophysics Data System (ADS)

    Regardt, Olle; Rönnbäck, Lars; Bergholtz, Maria; Johannesson, Paul; Wohed, Petia

    Maintaining and evolving data warehouses is a complex, error prone, and time consuming activity. The main reason for this state of affairs is that the environment of a data warehouse is in constant change, while the warehouse itself needs to provide a stable and consistent interface to information spanning extended periods of time. In this paper, we propose a modeling technique for data warehousing, called anchor modeling, that offers non-destructive extensibility mechanisms, thereby enabling robust and flexible management of changes in source systems. A key benefit of anchor modeling is that changes in a data warehouse environment only require extensions, not modifications, to the data warehouse. This ensures that existing data warehouse applications will remain unaffected by the evolution of the data warehouse, i.e. existing views and functions will not have to be modified as a result of changes in the warehouse model.

  12. Mining a clinical data warehouse to discover disease-finding associations using co-occurrence statistics

    PubMed Central

    Cao, Hui; Markatou, Marianthi; Melton, Genevieve B.; Chiang, Michael F.; Hripcsak, George

    2005-01-01

    This paper applies co-occurrence statistics to discover disease-finding associations in a clinical data warehouse. We used two methods, χ2 statistics and the proportion confidence interval (PCI) method, to measure the dependence of pairs of diseases and findings, and then used heuristic cutoff values for association selection. An intrinsic evaluation showed that 94 percent of disease-finding associations obtained by χ2 statistics and 76.8 percent obtained by the PCI method were true associations. The selected associations were used to construct knowledge bases of disease-finding relations (KB-χ2, KB-PCI). An extrinsic evaluation showed that both KB-χ2 and KB-PCI could assist in eliminating clinically non-informative and redundant findings from problem lists generated by our automated problem list summarization system. PMID:16779011

  13. Mining a clinical data warehouse to discover disease-finding associations using co-occurrence statistics.

    PubMed

    Cao, Hui; Markatou, Marianthi; Melton, Genevieve B; Chiang, Michael F; Hripcsak, George

    2005-01-01

    This paper applies co-occurrence statistics to discover disease-finding associations in a clinical data warehouse. We used two methods, chi2 statistics and the proportion confidence interval (PCI) method, to measure the dependence of pairs of diseases and findings, and then used heuristic cutoff values for association selection. An intrinsic evaluation showed that 94 percent of disease-finding associations obtained by chi2 statistics and 76.8 percent obtained by the PCI method were true associations. The selected associations were used to construct knowledge bases of disease-finding relations (KB-chi2, KB-PCI). An extrinsic evaluation showed that both KB-chi2 and KB-PCI could assist in eliminating clinically non-informative and redundant findings from problem lists generated by our automated problem list summarization system.

  14. Helios: History and Anatomy of a Successful In-House Enterprise High-Throughput Screening and Profiling Data Analysis System.

    PubMed

    Gubler, Hanspeter; Clare, Nicholas; Galafassi, Laurent; Geissler, Uwe; Girod, Michel; Herr, Guy

    2018-06-01

    We describe the main characteristics of the Novartis Helios data analysis software system (Novartis, Basel, Switzerland) for plate-based screening and profiling assays, which was designed and built about 11 years ago. It has been in productive use for more than 10 years and is one of the important standard software applications running for a large user community at all Novartis Institutes for BioMedical Research sites globally. A high degree of automation is reached by embedding the data analysis capabilities into a software ecosystem that deals with the management of samples, plates, and result data files, including automated data loading. The application provides a series of analytical procedures, ranging from very simple to advanced, which can easily be assembled by users in very flexible ways. This also includes the automatic derivation of a large set of quality control (QC) characteristics at every step. Any of the raw, intermediate, and final results and QC-relevant quantities can be easily explored through linked visualizations. Links to global assay metadata management, data warehouses, and an electronic lab notebook system are in place. Automated transfer of relevant data to data warehouses and electronic lab notebook systems are also implemented.

  15. FaceWarehouse: a 3D facial expression database for visual computing.

    PubMed

    Cao, Chen; Weng, Yanlin; Zhou, Shun; Tong, Yiying; Zhou, Kun

    2014-03-01

    We present FaceWarehouse, a database of 3D facial expressions for visual computing applications. We use Kinect, an off-the-shelf RGBD camera, to capture 150 individuals aged 7-80 from various ethnic backgrounds. For each person, we captured the RGBD data of her different expressions, including the neutral expression and 19 other expressions such as mouth-opening, smile, kiss, etc. For every RGBD raw data record, a set of facial feature points on the color image such as eye corners, mouth contour, and the nose tip are automatically localized, and manually adjusted if better accuracy is required. We then deform a template facial mesh to fit the depth data as closely as possible while matching the feature points on the color image to their corresponding points on the mesh. Starting from these fitted face meshes, we construct a set of individual-specific expression blendshapes for each person. These meshes with consistent topology are assembled as a rank-3 tensor to build a bilinear face model with two attributes: identity and expression. Compared with previous 3D facial databases, for every person in our database, there is a much richer matching collection of expressions, enabling depiction of most human facial actions. We demonstrate the potential of FaceWarehouse for visual computing with four applications: facial image manipulation, face component transfer, real-time performance-based facial image animation, and facial animation retargeting from video to image.

  16. Automated population of an i2b2 clinical data warehouse from an openEHR-based data repository.

    PubMed

    Haarbrandt, Birger; Tute, Erik; Marschollek, Michael

    2016-10-01

    Detailed Clinical Model (DCM) approaches have recently seen wider adoption. More specifically, openEHR-based application systems are now used in production in several countries, serving diverse fields of application such as health information exchange, clinical registries and electronic medical record systems. However, approaches to efficiently provide openEHR data to researchers for secondary use have not yet been investigated or established. We developed an approach to automatically load openEHR data instances into the open source clinical data warehouse i2b2. We evaluated query capabilities and the performance of this approach in the context of the Hanover Medical School Translational Research Framework (HaMSTR), an openEHR-based data repository. Automated creation of i2b2 ontologies from archetypes and templates and the integration of openEHR data instances from 903 patients of a paediatric intensive care unit has been achieved. In total, it took an average of ∼2527s to create 2.311.624 facts from 141.917 XML documents. Using the imported data, we conducted sample queries to compare the performance with two openEHR systems and to investigate if this representation of data is feasible to support cohort identification and record level data extraction. We found the automated population of an i2b2 clinical data warehouse to be a feasible approach to make openEHR data instances available for secondary use. Such an approach can facilitate timely provision of clinical data to researchers. It complements analytics based on the Archetype Query Language by allowing querying on both, legacy clinical data sources and openEHR data instances at the same time and by providing an easy-to-use query interface. However, due to different levels of expressiveness in the data models, not all semantics could be preserved during the ETL process. Copyright © 2016 Elsevier Inc. All rights reserved.

  17. Clinical research data warehouse governance for distributed research networks in the USA: a systematic review of the literature.

    PubMed

    Holmes, John H; Elliott, Thomas E; Brown, Jeffrey S; Raebel, Marsha A; Davidson, Arthur; Nelson, Andrew F; Chung, Annie; La Chance, Pierre; Steiner, John F

    2014-01-01

    To review the published, peer-reviewed literature on clinical research data warehouse governance in distributed research networks (DRNs). Medline, PubMed, EMBASE, CINAHL, and INSPEC were searched for relevant documents published through July 31, 2013 using a systematic approach. Only documents relating to DRNs in the USA were included. Documents were analyzed using a classification framework consisting of 10 facets to identify themes. 6641 documents were retrieved. After screening for duplicates and relevance, 38 were included in the final review. A peer-reviewed literature on data warehouse governance is emerging, but is still sparse. Peer-reviewed publications on UK research network governance were more prevalent, although not reviewed for this analysis. All 10 classification facets were used, with some documents falling into two or more classifications. No document addressed costs associated with governance. Even though DRNs are emerging as vehicles for research and public health surveillance, understanding of DRN data governance policies and procedures is limited. This is expected to change as more DRN projects disseminate their governance approaches as publicly available toolkits and peer-reviewed publications. While peer-reviewed, US-based DRN data warehouse governance publications have increased, DRN developers and administrators are encouraged to publish information about these programs. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.

  18. A comparative analysis of the dissemination of best practice measures for key populations.

    PubMed

    Lundy, Jennifer; Santangelo, Jennifer; Rogers, Patrick; Kuehn, Lynn; Christensen, Sharon; Bournique, Judy; Mekhjian, Hagop; Kamal, Jyoti

    2008-11-06

    In collaboration with the department of Quality and Operations Improvement, Clinical Applications and the Information Warehouse, we have leveraged available Information Warehouse data to build a Best Practice Compliance Measurement Dashboard. This tool combines information from our operating room charting system, our order entry system and coding information from the patient billing and management system to provide 'previous day', data on a patients current course of treatment.

  19. Report on the Warehousing and Distribution Functions of the Division of Supply and Property Management.

    ERIC Educational Resources Information Center

    Richardson, William M.; Baacke, Clifford M.

    The centralized warehouse concept as utilized by Montgomery County (Maryland) Public Schools is examined in this report detailing the operation of the warehouse facility and distribution system. After an executive summary, an addendum detailing comments by the staff of the Office of the Associate Superintendent for Supportive Services conflicting…

  20. Conservative care of De Quervain's tenosynovitis/ tendinopathy in a warehouse worker and recreational cyclist: a case report.

    PubMed

    Howell, Emily R

    2012-06-01

    This case study was conducted to evaluate the conservative management of a patient presenting with right sided wrist and thumb pain diagnosed as De Quervain's tenosynovitis/tendinopathy. A 49-year-old female warehouse worker and recreational cyclist with right-sided De Quervain's tenosynovitis/tendinopathy that began after a long-distance cycling trip. Treatment included ultrasound, soft tissue and myofascial release therapy, tool assisted fascial stripping or "guasha", acupuncture, mobilizations and kinesiology taping. Home advice included icing, rest, wrist bracing, elevation and eccentric rehabilitation exercises. The positive outcome was a complete resolution of the patient's complaint. This case demonstrates how De Quervain's disease is a challenging condition to treat with conservative methods and can be aggravated with new exacerbating factors as treatment continues. In this case, the addition of the active care (including eccentric exercises and self-care) helped to reinforce the passive care given in the office and accelerate the recovery.

  1. 31 CFR 575.412 - Release of Iraqi goods from bonded warehouse or foreign trade zone.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... 31 Money and Finance: Treasury 3 2010-07-01 2010-07-01 false Release of Iraqi goods from bonded warehouse or foreign trade zone. 575.412 Section 575.412 Money and Finance: Treasury Regulations Relating to Money and Finance (Continued) OFFICE OF FOREIGN ASSETS CONTROL, DEPARTMENT OF THE TREASURY IRAQI SANCTIONS REGULATIONS Interpretations §...

  2. Development of a central data warehouse for statewide ITS and transportation data in Florida phase III : final report.

    DOT National Transportation Integrated Search

    2009-12-15

    This report documents Phase III of the development and operation of a prototype for the Statewide Transportation : Engineering Warehouse for Archived Regional Data (STEWARD). It reflects the progress on the development and : operation of STEWARD sinc...

  3. Automated Data Aggregation for Time-Series Analysis: Study Case on Anaesthesia Data Warehouse.

    PubMed

    Lamer, Antoine; Jeanne, Mathieu; Ficheur, Grégoire; Marcilly, Romaric

    2016-01-01

    Data stored in operational databases are not reusable directly. Aggregation modules are necessary to facilitate secondary use. They decrease volume of data while increasing the number of available information. In this paper, we present four automated engines of aggregation, integrated into an anaesthesia data warehouse. Four instances of clinical questions illustrate the use of those engines for various improvements of quality of care: duration of procedure, drug administration, assessment of hypotension and its related treatment.

  4. A system management methodology for building successful resource management systems

    NASA Technical Reports Server (NTRS)

    Hornstein, Rhoda Shaller; Willoughby, John K.

    1989-01-01

    This paper presents a system management methodology for building successful resource management systems that possess lifecycle effectiveness. This methodology is based on an analysis of the traditional practice of Systems Engineering Management as it applies to the development of resource management systems. The analysis produced fifteen significant findings presented as recommended adaptations to the traditional practice of Systems Engineering Management to accommodate system development when the requirements are incomplete, unquantifiable, ambiguous and dynamic. Ten recommended adaptations to achieve operational effectiveness when requirements are incomplete, unquantifiable or ambiguous are presented and discussed. Five recommended adaptations to achieve system extensibility when requirements are dynamic are also presented and discussed. The authors conclude that the recommended adaptations to the traditional practice of Systems Engineering Management should be implemented for future resource management systems and that the technology exists to build these systems extensibly.

  5. Data warehousing as a healthcare business solution.

    PubMed

    Scheese, R

    1998-02-01

    Because of the trend toward consolidation in the healthcare field, many organizations have massive amounts of data stored in various information systems organizationwide, but access to the data by end users may be difficult. Healthcare organizations are being pressured to provide managers easy access to the data needed for critical decision making. One solution many organizations are turning to is implementing decision-support data warehouses. A data warehouse instantly delivers information directly to end users, freeing healthcare information systems staff for strategic operations. If designed appropriately, data warehouses can be a cost-effective tool for business analysis and decision support.

  6. The Poet in the Warehouse. Creative Writing as Inquiry: Using Imaginative Writing To Explore Other Disciplines.

    ERIC Educational Resources Information Center

    McCue, Frances

    This master's project contains two essays and a long poem, examining the possibilities of creative writing as a tool of inquiry in mathematics, history, science, film, art, and architecture. The project's first essay, "The Poet in the Warehouse," introduces a brief history of imaginative writing and an argument for its inclusion in…

  7. 31 CFR 560.408 - Importation into and release from a bonded warehouse or foreign trade zone.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... 31 Money and Finance: Treasury 3 2010-07-01 2010-07-01 false Importation into and release from a bonded warehouse or foreign trade zone. 560.408 Section 560.408 Money and Finance: Treasury Regulations Relating to Money and Finance (Continued) OFFICE OF FOREIGN ASSETS CONTROL, DEPARTMENT OF THE TREASURY IRANIAN TRANSACTIONS REGULATIONS...

  8. 31 CFR 560.408 - Importation into and release from a bonded warehouse or foreign trade zone.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... 31 Money and Finance:Treasury 3 2011-07-01 2011-07-01 false Importation into and release from a bonded warehouse or foreign trade zone. 560.408 Section 560.408 Money and Finance: Treasury Regulations Relating to Money and Finance (Continued) OFFICE OF FOREIGN ASSETS CONTROL, DEPARTMENT OF THE TREASURY IRANIAN TRANSACTIONS REGULATIONS...

  9. CATCH/IT: a data warehouse to support comprehensive assessment for tracking community health.

    PubMed

    Berndt, D J; Hevner, A R; Studnicki, J

    1998-01-01

    A systematic methodology, Comprehensive Assessment for Tracking Community Health (CATCH), for analyzing the health status of communities has been under development at the University of South Florida since the early 1990s. CATCH draws 226 health status indicators from multiple data sources and uses an innovative comparative framework and weighted evaluation criteria to produce a rank-ordered list of community health problems. CATCH has been applied successfully in many Florida counties; focusing attention on high priority health issues and measuring the impact of health expenditures on community health status outcomes. Previously performed manually, we are using information technology (IT) to automate the CATCH methodology with a full-scale data warehouse, user-friendly forms and reports, and extended analysis and data mining capabilities. The automated system, CATCH/IT, will reduce the time to prepare community health status reports from months to days. In this paper, we present the current status of the project, along with the principal research and development issues and future directions of the project.

  10. A Search Algorithm for Determination of Economic Order Quantity in a Two-Level Supply Chain System with Transportation Cost

    NASA Astrophysics Data System (ADS)

    Pirayesh Neghab, Mohammadali; Haji, Rasoul

    This study considers a two-level supply chain system consisting of one warehouse and a number of identical retailers. In this system, we incorporate transportation costs into inventory replenishment decisions. The transportation cost contains a fixed cost and a variable cost. We assume that the demand rate at each retailer is known and the demand is confined to a single item. First, we derive the total cost which is the sum of the holding and ordering cost at the warehouse and retailers as well as the transportation cost from the warehouse to retailers. Then, we propose a search algorithm to find the economic order quantities for the warehouse and retailers which minimize the total cost.

  11. Data warehouse for detection of occupational diseases in OHS data.

    PubMed

    Godderis, L; Mylle, G; Coene, M; Verbeek, C; Viaene, B; Bulterys, S; Schouteden, M

    2015-11-01

    Occupational health and safety (OHS) services collect a wide range of data during health surveillance. To build a 'data warehouse' to make OHS data available for research and to investigate sector-specific health problems. Medical data were extracted, transformed and loaded into the data warehouse. After validation, data on lifestyle, categorized medication use, ICD-9-CM encoded sickness absences and health complaints, collected between 2010 and 2014, were analysed with logistic regression to compare proportions between employment sectors, taking into account age, gender, body mass index (BMI) and year of examination. The data set comprised 585000 employees. Average age and employment seniority were 39 ± 12 and 8 ± 9 years, respectively. BMI was 26 ± 5 kg/m(2). Health complaints, medication use and sickness absence significantly increased with BMI and age. The proportion of employees with health problems was highest in health care (64%), government (61%) and manufacturing (60%) and lowest in the service sector. In all sectors, 10% of workers reported locomotor health problems, apart from the service sector (8%) with similar results for medication consumption. Neuropsychological drugs were more frequently used by health care workers (8%). The transport sector contained the highest proportion of cardiological medication users (12%). Finally, 30-59% of employees reported at least one sickness absence episode. Sickness absence due to locomotor issues was highest in manufacturing (11%) and health care (10%), followed by government (9%) and construction (9%). Significant differences in indices of workers' health were observed between sectors. This information is now being used in the implementation of a sector-oriented health surveillance programme. © The Author 2015. Published by Oxford University Press on behalf of the Society of Occupational Medicine. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

  12. A review of genomic data warehousing systems.

    PubMed

    Triplet, Thomas; Butler, Gregory

    2014-07-01

    To facilitate the integration and querying of genomics data, a number of generic data warehousing frameworks have been developed. They differ in their design and capabilities, as well as their intended audience. We provide a comprehensive and quantitative review of those genomic data warehousing frameworks in the context of large-scale systems biology. We reviewed in detail four genomic data warehouses (BioMart, BioXRT, InterMine and PathwayTools) freely available to the academic community. We quantified 20 aspects of the warehouses, covering the accuracy of their responses, their computational requirements and development efforts. Performance of the warehouses was evaluated under various hardware configurations to help laboratories optimize hardware expenses. Each aspect of the benchmark may be dynamically weighted by scientists using our online tool BenchDW (http://warehousebenchmark.fungalgenomics.ca/benchmark/) to build custom warehouse profiles and tailor our results to their specific needs.

  13. Warehouse stocking optimization based on dynamic ant colony genetic algorithm

    NASA Astrophysics Data System (ADS)

    Xiao, Xiaoxu

    2018-04-01

    In view of the various orders of FAW (First Automotive Works) International Logistics Co., Ltd., the SLP method is used to optimize the layout of the warehousing units in the enterprise, thus the warehouse logistics is optimized and the external processing speed of the order is improved. In addition, the relevant intelligent algorithms for optimizing the stocking route problem are analyzed. The ant colony algorithm and genetic algorithm which have good applicability are emphatically studied. The parameters of ant colony algorithm are optimized by genetic algorithm, which improves the performance of ant colony algorithm. A typical path optimization problem model is taken as an example to prove the effectiveness of parameter optimization.

  14. 78 FR 63978 - Proposed CERCLA Settlements Relating to the Truckers Warehouse Site in Passaic, Passaic County...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-10-25

    ... thus are potentially liable for response costs incurred at or in connection with the Truckers Warehouse... Costs (``Agreements'') pursuant to Section 122(h)(1) of CERCLA, with (1) RJS Corp.; (2) Your Factory... Parties agree to pay a total of $108,748.20 to EPA for past response costs. EPA will consider all comments...

  15. 31 CFR 560.408 - Importation into and release from a bonded warehouse or foreign trade zone.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ... 31 Money and Finance:Treasury 3 2014-07-01 2014-07-01 false Importation into and release from a bonded warehouse or foreign trade zone. 560.408 Section 560.408 Money and Finance: Treasury Regulations Relating to Money and Finance (Continued) OFFICE OF FOREIGN ASSETS CONTROL, DEPARTMENT OF THE TREASURY IRANIAN TRANSACTIONS AND SANCTIONS...

  16. 31 CFR 592.404 - Importation into or release from a bonded warehouse or foreign trade zone.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... 31 Money and Finance: Treasury 3 2010-07-01 2010-07-01 false Importation into or release from a bonded warehouse or foreign trade zone. 592.404 Section 592.404 Money and Finance: Treasury Regulations Relating to Money and Finance (Continued) OFFICE OF FOREIGN ASSETS CONTROL, DEPARTMENT OF THE TREASURY ROUGH DIAMONDS CONTROL REGULATIONS...

  17. 31 CFR 592.404 - Importation into or release from a bonded warehouse or foreign trade zone.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... 31 Money and Finance:Treasury 3 2011-07-01 2011-07-01 false Importation into or release from a bonded warehouse or foreign trade zone. 592.404 Section 592.404 Money and Finance: Treasury Regulations Relating to Money and Finance (Continued) OFFICE OF FOREIGN ASSETS CONTROL, DEPARTMENT OF THE TREASURY ROUGH DIAMONDS CONTROL REGULATIONS...

  18. 31 CFR 592.404 - Importation into or release from a bonded warehouse or foreign trade zone.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ... 31 Money and Finance:Treasury 3 2014-07-01 2014-07-01 false Importation into or release from a bonded warehouse or foreign trade zone. 592.404 Section 592.404 Money and Finance: Treasury Regulations Relating to Money and Finance (Continued) OFFICE OF FOREIGN ASSETS CONTROL, DEPARTMENT OF THE TREASURY ROUGH DIAMONDS CONTROL REGULATIONS...

  19. 7 CFR 29.75a - Display of burley tobacco on auction warehouse floors in designated markets.

    Code of Federal Regulations, 2010 CFR

    2010-01-01

    ... in designated markets. 29.75a Section 29.75a Agriculture Regulations of the Department of Agriculture... § 29.75a Display of burley tobacco on auction warehouse floors in designated markets. (a)(1) Each lot... arrayed sequence of lots and rows of tobacco, shall have prior approval of the Set Work Leader or Circuit...

  20. Development of Product Availability Monitoring System In Production Unit In Automotive Component Industry

    NASA Astrophysics Data System (ADS)

    Hartono, Rachmad; Raharno, Sri; Yuwana Martawirya, Yatna; Arthaya, Bagus

    2018-03-01

    This paper described a methodology to monitor the availability of products in a production unit in the automotive component industry. Automotive components made are automotive components made through sheet metal working. Raw material coming into production unit in the form of pieces of plates that have a certain size. Raw materials that come stored in the warehouse. Data of raw each material in the warehouse are recorded and stored in a data base system. The material will then undergo several production processes in the production unit. When the material is taken from the warehouse, material data are also recorded and stored in a data base. The data recorded are the amount of material, material type, and date when the material is out of the warehouse. The material coming out of the warehouse is labeled with information related to the production processes that the material must pass. Material out of the warehouse is a product will be made. The products have been completed, are stored in the warehouse products. When the product is entered into the product warehouse, product data is also recorded by scanning the barcode contained on the label. By recording the condition of the product at each stage of production, we can know the availability of the product in a production unit in the form of a raw material, the product being processed and the finished product.

  1. Design for Warehouse with Product Flow Type Allocation using Linear Programming: A Case Study in a Textile Industry

    NASA Astrophysics Data System (ADS)

    Khannan, M. S. A.; Nafisah, L.; Palupi, D. L.

    2018-03-01

    Sari Warna Co. Ltd, a company engaged in the textile industry, is experiencing problems in the allocation and placement of goods in the warehouse. During this time the company has not implemented the product flow type allocation and product placement to the respective products resulting in a high total material handling cost. Therefore, this study aimed to determine the allocation and placement of goods in the warehouse corresponding to product flow type with minimal total material handling cost. This research is a quantitative research based on the theory of storage and warehouse that uses a mathematical model of optimization problem solving using mathematical optimization model approach belongs to Heragu (2005), aided by software LINGO 11.0 in the calculation of the optimization model. Results obtained from this study is the proportion of the distribution for each functional area is the area of cross-docking at 0.0734, the reserve area at 0.1894, and the forward area at 0.7372. The allocation of product flow type 1 is 5 products, the product flow type 2 is 9 products, the product flow type 3 is 2 products, and the product flow type 4 is 6 products. The optimal total material handling cost by using this mathematical model equal to Rp43.079.510 while it is equal to Rp 49.869.728 by using the company’s existing method. It saves Rp6.790.218 for the total material handling cost. Thus, all of the products can be allocated in accordance with the product flow type with minimal total material handling cost.

  2. 22 CFR 123.6 - Foreign trade zones and U.S. Customs and Border Protection bonded warehouses.

    Code of Federal Regulations, 2013 CFR

    2013-04-01

    ... 22 Foreign Relations 1 2013-04-01 2013-04-01 false Foreign trade zones and U.S. Customs and Border Protection bonded warehouses. 123.6 Section 123.6 Foreign Relations DEPARTMENT OF STATE INTERNATIONAL TRAFFIC IN ARMS REGULATIONS LICENSES FOR THE EXPORT OF DEFENSE ARTICLES § 123.6 Foreign trade zones and U.S. Customs and Border Protection bonded...

  3. 31 CFR 539.406 - Importation into and release from a bonded warehouse or foreign trade zone.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ... 31 Money and Finance:Treasury 3 2014-07-01 2014-07-01 false Importation into and release from a bonded warehouse or foreign trade zone. 539.406 Section 539.406 Money and Finance: Treasury Regulations Relating to Money and Finance (Continued) OFFICE OF FOREIGN ASSETS CONTROL, DEPARTMENT OF THE TREASURY WEAPONS OF MASS DESTRUCTION TRADE CONTROL...

  4. 31 CFR 539.406 - Importation into and release from a bonded warehouse or foreign trade zone.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... 31 Money and Finance: Treasury 3 2010-07-01 2010-07-01 false Importation into and release from a bonded warehouse or foreign trade zone. 539.406 Section 539.406 Money and Finance: Treasury Regulations Relating to Money and Finance (Continued) OFFICE OF FOREIGN ASSETS CONTROL, DEPARTMENT OF THE TREASURY WEAPONS OF MASS DESTRUCTION TRADE CONTROL...

  5. 31 CFR 539.406 - Importation into and release from a bonded warehouse or foreign trade zone.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... 31 Money and Finance:Treasury 3 2011-07-01 2011-07-01 false Importation into and release from a bonded warehouse or foreign trade zone. 539.406 Section 539.406 Money and Finance: Treasury Regulations Relating to Money and Finance (Continued) OFFICE OF FOREIGN ASSETS CONTROL, DEPARTMENT OF THE TREASURY WEAPONS OF MASS DESTRUCTION TRADE CONTROL...

  6. Stormwater Pollution Prevention Plan for the TA-60-02 Salvage Warehouse, Los Alamos National Laboratory, Revision 3, January 2018

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

    Burgin, Jillian Elizabeth

    This Storm Water Pollution Prevention Plan (SWPPP) was developed in accordance with the provisions of the Clean Water Act (33 U.S.C. §§1251 et seq., as amended), and the Multi-Sector General Permit for Storm Water Discharges Associated with Industrial Activity (U.S. EPA, June 2015) issued by the U.S. Environmental Protection Agency (EPA) for the National Pollutant Discharge Elimination System (NPDES) and using the industry specific permit requirements for Sector P-Land Transportation and Warehousing as a guide. The applicable stormwater discharge permit is EPA General Permit Registration Number NMR053915 (Los Alamos National Security (LANS) (U.S. EPA, June 2015). Contents of the Junemore » 4, 2015 Multi-sector General Permit can be viewed at: https://www.epa.gov/sites/production/files/2015- 10/documents/msgp2015_finalpermit.pdf This SWPPP applies to discharges of stormwater from the operational areas of the TA-60-02 Salvage and Warehouse facility at Los Alamos National Laboratory. Los Alamos National Laboratory (also referred to as LANL or the “Laboratory”) is owned by the Department of Energy (DOE), and is operated by Los Alamos National Security, LLC (LANS). Throughout this document, the term “facility” refers to the TA-60-02 Salvage/ Warehouse and associated areas. The current permit expires at midnight on June 4, 2020. A copy of the facility NOI and LANS Delegation of Authority Letter are located in Appendix C of this SWPPP.« less

  7. Asan medical information system for healthcare quality improvement.

    PubMed

    Ryu, Hyeon Jeong; Kim, Woo Sung; Lee, Jae Ho; Min, Sung Woo; Kim, Sun Ja; Lee, Yong Su; Lee, Young Ha; Nam, Sang Woo; Eo, Gi Seung; Seo, Sook Gyoung; Nam, Mi Hyun

    2010-09-01

    This purpose of this paper is to introduce the status of the Asan Medical Center (AMC) medical information system with respect to healthcare quality improvement. Asan Medical Information System (AMIS) is projected to become a completely electronic and digital information hospital. AMIS has played a role in improving the health care quality based on the following measures: safety, effectiveness, patient-centeredness, timeliness, efficiency, privacy, and security. AMIS CONSISTED OF SEVERAL DISTINCTIVE SYSTEMS: order communication system, electronic medical record, picture archiving communication system, clinical research information system, data warehouse, enterprise resource planning, IT service management system, and disaster recovery system. The most distinctive features of AMIS were the high alert-medication recognition & management system, the integrated and severity stratified alert system, the integrated patient monitoring system, the perioperative diabetic care monitoring and support system, and the clinical indicator management system. AMIS provides IT services for AMC, 7 affiliated hospitals and over 5,000 partners clinics, and was developed to improve healthcare services. The current challenge of AMIS is standard and interoperability. A global health IT strategy is needed to get through the current challenges and to provide new services as needed.

  8. Integration of decentralized clinical data in a data warehouse: a service-oriented design and realization.

    PubMed

    Hanss, Sabine; Schaaf, T; Wetzel, T; Hahn, C; Schrader, T; Tolxdorff, T

    2009-01-01

    In this paper we present a general concept and describe the difficulties for the integration of data from various clinical partners in one data warehouse using the Open European Nephrology Science Center (OpEN.SC) as an example. This includes a requirements analysis of the data integration process and also the design according to these requirements. This conceptual approach based on the Rational Unified Process (RUP) and paradigm of Service-Oriented Architecture (SOA). Because we have to enhance the confidence of our partners in the OpEN.SC system and with this the willingness of them to participate, important requirements are controllability, transparency and security for all partners. Reusable and fine-grained components were found to be necessary when working with diverse data sources. With SOA the requested reusability is implemented easily. A key step in the development of a data integration process within such a health information system like OpEN.SC is to analyze the requirements. And to show that this is not only a theoretical work, we present a design - developed with RUP and SOA - which fulfills these requirements.

  9. Supply Warehouse#3, SWMU 088 Operations, Maintenance, and Monitoring Report Kennedy Space Center, Florida

    NASA Technical Reports Server (NTRS)

    Murphy, Alex

    2016-01-01

    This document presents the findings, observations, and results associated with Operations, Maintenance, and Monitoring (OM&M) activities of Corrective Measures Implementation (CMI) activities conducted at Supply Warehouse #3 (SW3) located at John F. Kennedy Space Center (KSC), Florida from October 8, 2015, to September 12, 2016, and performance monitoring results for semi-annual sampling events conducted in March and September 2016. The primary objective of SW3 CMI is to actively decrease concentrations of trichloroethene (TCE) and vinyl chloride (VC) to less than Florida Department of Environmental Protection (FDEP) Natural Attenuation Default Concentrations (NADCs), and the secondary objective is to reduce TCE, cis-1,2-dichloroethene (cDCE), trans-1,2-dichloroethene (tDCE), 1,1-dichloroethene (11DCE), and VC concentrations to less than FDEP Groundwater Cleanup Target Levels (GCTLs). The SW3 facility has been designated Solid Waste Management Unit (SWMU) 088 under KSC's Resource Conservation and Recovery Act (RCRA) Corrective Action Program. Based on the results to date, the SW3 air sparging (AS) system is operating at or below the performance criteria as presented in the 2008 SW3 Corrective Measures Implementation (CMI) Work Plan and 2009 and 2012 CMI Work Plan Addenda. Since the start of AS system operations on December 19, 2012, through the September 2016 groundwater sampling event, TCE concentrations have decreased to less than the GCTL in all wells within the Active Remediation Zone (ARZ), and VC results remain less than NADC but greater than GCTL. Based on these results, team consensus was reached at the October 2016 KSC Remediation Team (KSCRT) meeting to continue AS system operations and semi-annual performance monitoring of volatile organic compounds in March 2017 at ten monitoring wells at select locations, and in September 2017 at four monitoring wells at select locations to reduce VC concentrations to below GCTL. Additionally, surface water samples

  10. Feasibility of using a large Clinical Data Warehouse to automate the selection of diagnostic cohorts.

    PubMed

    Stephen, Reejis; Boxwala, Aziz; Gertman, Paul

    2003-01-01

    Data from Clinical Data Warehouses (CDWs) can be used for retrospective studies and for benchmarking. However, automated identification of cases from large datasets containing data items in free text fields is challenging. We developed an algorithm for categorizing pediatric patients presenting with respiratory distress into Bronchiolitis, Bacterial pneumonia and Asthma using clinical variables from a CDW. A feasibility study of this approach indicates that case selection may be automated.

  11. Benefits of a clinical data warehouse with data mining tools to collect data for a radiotherapy trial

    PubMed Central

    Roelofs, Erik; Persoon, Lucas; Nijsten, Sebastiaan; Wiessler, Wolfgang; Dekker, André; Lambin, Philippe

    2016-01-01

    Introduction Collecting trial data in a medical environment is at present mostly performed manually and therefore time-consuming, prone to errors and often incomplete with the complex data considered. Faster and more accurate methods are needed to improve the data quality and to shorten data collection times where information is often scattered over multiple data sources. The purpose of this study is to investigate the possible benefit of modern data warehouse technology in the radiation oncology field. Material and methods In this study, a Computer Aided Theragnostics (CAT) data warehouse combined with automated tools for feature extraction was benchmarked against the regular manual data-collection processes. Two sets of clinical parameters were compiled for non-small cell lung cancer (NSCLC) and rectal cancer, using 27 patients per disease. Data collection times and inconsistencies were compared between the manual and the automated extraction method. Results The average time per case to collect the NSCLC data manually was 10.4 ± 2.1 min and 4.3 ± 1.1 min when using the automated method (p < 0.001). For rectal cancer, these times were 13.5 ± 4.1 and 6.8 ± 2.4 min, respectively (p < 0.001). In 3.2% of the data collected for NSCLC and 5.3% for rectal cancer, there was a discrepancy between the manual and automated method. Conclusions Aggregating multiple data sources in a data warehouse combined with tools for extraction of relevant parameters is beneficial for data collection times and offers the ability to improve data quality. The initial investments in digitizing the data are expected to be compensated due to the flexibility of the data analysis. Furthermore, successive investigations can easily select trial candidates and extract new parameters from the existing databases. PMID:23394741

  12. Benefits of a clinical data warehouse with data mining tools to collect data for a radiotherapy trial.

    PubMed

    Roelofs, Erik; Persoon, Lucas; Nijsten, Sebastiaan; Wiessler, Wolfgang; Dekker, André; Lambin, Philippe

    2013-07-01

    Collecting trial data in a medical environment is at present mostly performed manually and therefore time-consuming, prone to errors and often incomplete with the complex data considered. Faster and more accurate methods are needed to improve the data quality and to shorten data collection times where information is often scattered over multiple data sources. The purpose of this study is to investigate the possible benefit of modern data warehouse technology in the radiation oncology field. In this study, a Computer Aided Theragnostics (CAT) data warehouse combined with automated tools for feature extraction was benchmarked against the regular manual data-collection processes. Two sets of clinical parameters were compiled for non-small cell lung cancer (NSCLC) and rectal cancer, using 27 patients per disease. Data collection times and inconsistencies were compared between the manual and the automated extraction method. The average time per case to collect the NSCLC data manually was 10.4 ± 2.1 min and 4.3 ± 1.1 min when using the automated method (p<0.001). For rectal cancer, these times were 13.5 ± 4.1 and 6.8 ± 2.4 min, respectively (p<0.001). In 3.2% of the data collected for NSCLC and 5.3% for rectal cancer, there was a discrepancy between the manual and automated method. Aggregating multiple data sources in a data warehouse combined with tools for extraction of relevant parameters is beneficial for data collection times and offers the ability to improve data quality. The initial investments in digitizing the data are expected to be compensated due to the flexibility of the data analysis. Furthermore, successive investigations can easily select trial candidates and extract new parameters from the existing databases. Copyright © 2012 Elsevier Ireland Ltd. All rights reserved.

  13. Teacher and Leader Perceptions Concerning the Implementation of a Web-Based Data Warehouse for Instructional Decision-Making

    ERIC Educational Resources Information Center

    Curtis, Jennifer Lee

    2010-01-01

    The purpose of this study was to identify, describe, and examine the perceptions of teachers and leaders when implementing a Web-based data warehouse (DW) for instructional decision-making in a K-12 public school setting. It identified the challenges and benefits of DW implementation by measuring teacher and leader concerns, studied teacher and…

  14. A robotic system for automation of logistics functions on the Space Station

    NASA Technical Reports Server (NTRS)

    Martin, J. C.; Purves, R. B.; Hosier, R. N.; Krein, B. A.

    1988-01-01

    Spacecraft inventory management is currently performed by the crew and as systems become more complex, increased crew time will be required to perform routine logistics activities. If future spacecraft are to function effectively as research labs and production facilities, the efficient use of crew time as a limited resource for performing mission functions must be employed. The use of automation and robotics technology, such as automated warehouse and materials handling functions, can free the crew from many logistics tasks and provide more efficient use of crew time. Design criteria for a Space Station Automated Logistics Inventory Management System is focused on through the design and demonstration of a mobile two armed terrestrial robot. The system functionally represents a 0 gravity automated inventory management system and the problems associated with operating in such an environment. Features of the system include automated storage and retrieval, item recognition, two armed robotic manipulation, and software control of all inventory item transitions and queries.

  15. The anti-hepatitis drug use effect and inventory management optimization from the perspective of hospital drug supply chain.

    PubMed

    Liu, Zhanyu

    2017-09-01

    By analyzing the current hospital anti hepatitis drug use, dosage, indications and drug resistance, this article studied the drug inventory management and cost optimization. The author used drug utilization evaluation method, analyzed the amount and kind distribution of anti hepatitis drugs and made dynamic monitoring of inventory. At the same time, the author puts forward an effective scheme of drug classification management, uses the ABC classification method to classify the drugs according to the average daily dose of drugs, and implements the automatic replenishment plan. The design of pharmaceutical services supply chain includes drug procurement platform, warehouse management system and connect to the hospital system through data exchange. Through the statistical analysis of drug inventory, we put forward the countermeasures of drug logistics optimization. The results showed that drug replenishment plan can effectively improve drugs inventory efficiency.

  16. Business intelligence effort get a boost. The meaningful use framework highlights the value of data warehouses and BI tools.

    PubMed

    Raths, David

    2011-01-01

    As patient care organizations nationwide prepare to report on meaningful use quality measures, those with enterprise data warehouses may find they have a head start. The more advanced among them are establishing workgroups to create dashboards to analyze progress and identify gaps that need addressing.

  17. CATCH/IT: a data warehouse to support comprehensive assessment for tracking community health.

    PubMed Central

    Berndt, D. J.; Hevner, A. R.; Studnicki, J.

    1998-01-01

    A systematic methodology, Comprehensive Assessment for Tracking Community Health (CATCH), for analyzing the health status of communities has been under development at the University of South Florida since the early 1990s. CATCH draws 226 health status indicators from multiple data sources and uses an innovative comparative framework and weighted evaluation criteria to produce a rank-ordered list of community health problems. CATCH has been applied successfully in many Florida counties; focusing attention on high priority health issues and measuring the impact of health expenditures on community health status outcomes. Previously performed manually, we are using information technology (IT) to automate the CATCH methodology with a full-scale data warehouse, user-friendly forms and reports, and extended analysis and data mining capabilities. The automated system, CATCH/IT, will reduce the time to prepare community health status reports from months to days. In this paper, we present the current status of the project, along with the principal research and development issues and future directions of the project. PMID:9929220

  18. A Customizable Importer for the Clinical Data Warehouses PaDaWaN and I2B2.

    PubMed

    Fette, Georg; Kaspar, Mathias; Dietrich, Georg; Ertl, Maximilian; Krebs, Jonathan; Stoerk, Stefan; Puppe, Frank

    2017-01-01

    In recent years, clinical data warehouses (CDW) storing routine patient data have become more and more popular to support scientific work in the medical domain. Although CDW systems provide interfaces to import new data, these interfaces have to be used by processing tools that are often not included in the systems themselves. In order to establish an extraction-transformation-load (ETL) workflow, already existing components have to be taken or new components have to be developed to perform the load part of the ETL. We present a customizable importer for the two CDW systems PaDaWaN and I2B2, which is able to import the most common import formats (plain text, CSV and XML files). In order to be run, the importer only needs a configuration file with the user credentials for the target CDW and a list of XML import configuration files, which determine how already exported data is indented to be imported. The importer is provided as a Java program, which has no further software requirements.

  19. A study of the age attribute in a query tool for a clinical data warehouse.

    PubMed

    Scheufele, Elisabeth L; Scheufele, Elisabeth Lee; Dubey, Anil; Dubey, Anil Kumar; Murphy, Shawn N

    2008-11-06

    The RPDR, a clinical data warehouse with a user-friendly Querytool, allows researchers to perform studies on patient data. Currently, the RPDR represents age as the patient's age at the present time, which is problematic in situations where age at the time of the event is more appropriate. We will modify the Querytool to consider this by assessing the perception of age via survey, testing backend query solutions, and developing modifications based on these results.

  20. Intelligent Information Systems.

    ERIC Educational Resources Information Center

    Zabezhailo, M. I.; Finn, V. K.

    1996-01-01

    An Intelligent Information System (IIS) uses data warehouse technology to facilitate the cycle of data and knowledge processing, including input, standardization, storage, representation, retrieval, calculation, and delivery. This article provides an overview of IIS products and artificial intelligence systems, illustrates examples of IIS…

  1. A Web-Based Framework For a Time-Domain Warehouse

    NASA Astrophysics Data System (ADS)

    Brewer, J. M.; Bloom, J. S.; Kennedy, R.; Starr, D. L.

    2009-09-01

    The Berkeley Transients Classification Pipeline (TCP) uses a machine-learning classifier to automatically categorize transients from large data torrents and provide automated notification of astronomical events of scientific interest. As part of the training process, we created a large warehouse of light-curve sources with well-labelled classes that serve as priors to the classification engine. This web-based interactive framework, which we are now making public via DotAstro.org (http://dotastro.org/), allows us to ingest time-variable source data in a wide variety of formats and store it in a common internal data model. Data is passed between pipeline modules in a prototype XML representation of time-series format (VOTimeseries), which can also be emitted to collaborators through dotastro.org. After import, the sources can be visualized using Google Sky, light curves can be inspected interactively, and classifications can be manually adjusted.

  2. A geodata warehouse: Using denormalisation techniques as a tool for delivering spatially enabled integrated geological information to geologists

    NASA Astrophysics Data System (ADS)

    Kingdon, Andrew; Nayembil, Martin L.; Richardson, Anne E.; Smith, A. Graham

    2016-11-01

    New requirements to understand geological properties in three dimensions have led to the development of PropBase, a data structure and delivery tools to deliver this. At the BGS, relational database management systems (RDBMS) has facilitated effective data management using normalised subject-based database designs with business rules in a centralised, vocabulary controlled, architecture. These have delivered effective data storage in a secure environment. However, isolated subject-oriented designs prevented efficient cross-domain querying of datasets. Additionally, the tools provided often did not enable effective data discovery as they struggled to resolve the complex underlying normalised structures providing poor data access speeds. Users developed bespoke access tools to structures they did not fully understand sometimes delivering them incorrect results. Therefore, BGS has developed PropBase, a generic denormalised data structure within an RDBMS to store property data, to facilitate rapid and standardised data discovery and access, incorporating 2D and 3D physical and chemical property data, with associated metadata. This includes scripts to populate and synchronise the layer with its data sources through structured input and transcription standards. A core component of the architecture includes, an optimised query object, to deliver geoscience information from a structure equivalent to a data warehouse. This enables optimised query performance to deliver data in multiple standardised formats using a web discovery tool. Semantic interoperability is enforced through vocabularies combined from all data sources facilitating searching of related terms. PropBase holds 28.1 million spatially enabled property data points from 10 source databases incorporating over 50 property data types with a vocabulary set that includes 557 property terms. By enabling property data searches across multiple databases PropBase has facilitated new scientific research, previously

  3. Applications of the LBA-ECO Metadata Warehouse

    NASA Astrophysics Data System (ADS)

    Wilcox, L.; Morrell, A.; Griffith, P. C.

    2006-05-01

    The LBA-ECO Project Office has developed a system to harvest and warehouse metadata resulting from the Large-Scale Biosphere Atmosphere Experiment in Amazonia. The harvested metadata is used to create dynamically generated reports, available at www.lbaeco.org, which facilitate access to LBA-ECO datasets. The reports are generated for specific controlled vocabulary terms (such as an investigation team or a geospatial region), and are cross-linked with one another via these terms. This approach creates a rich contextual framework enabling researchers to find datasets relevant to their research. It maximizes data discovery by association and provides a greater understanding of the scientific and social context of each dataset. For example, our website provides a profile (e.g. participants, abstract(s), study sites, and publications) for each LBA-ECO investigation. Linked from each profile is a list of associated registered dataset titles, each of which link to a dataset profile that describes the metadata in a user-friendly way. The dataset profiles are generated from the harvested metadata, and are cross-linked with associated reports via controlled vocabulary terms such as geospatial region. The region name appears on the dataset profile as a hyperlinked term. When researchers click on this link, they find a list of reports relevant to that region, including a list of dataset titles associated with that region. Each dataset title in this list is hyperlinked to its corresponding dataset profile. Moreover, each dataset profile contains hyperlinks to each associated data file at its home data repository and to publications that have used the dataset. We also use the harvested metadata in administrative applications to assist quality assurance efforts. These include processes to check for broken hyperlinks to data files, automated emails that inform our administrators when critical metadata fields are updated, dynamically generated reports of metadata records that link

  4. Temporal and Location Based RFID Event Data Management and Processing

    NASA Astrophysics Data System (ADS)

    Wang, Fusheng; Liu, Peiya

    Advance of sensor and RFID technology provides significant new power for humans to sense, understand and manage the world. RFID provides fast data collection with precise identification of objects with unique IDs without line of sight, thus it can be used for identifying, locating, tracking and monitoring physical objects. Despite these benefits, RFID poses many challenges for data processing and management. RFID data are temporal and history oriented, multi-dimensional, and carrying implicit semantics. Moreover, RFID applications are heterogeneous. RFID data management or data warehouse systems need to support generic and expressive data modeling for tracking and monitoring physical objects, and provide automated data interpretation and processing. We develop a powerful temporal and location oriented data model for modeling and queryingRFID data, and a declarative event and rule based framework for automated complex RFID event processing. The approach is general and can be easily adapted for different RFID-enabled applications, thus significantly reduces the cost of RFID data integration.

  5. IG Statement: Arthur A. Elkins, Jr., on OIG report Early Warning Report: Main EPA Headquarters Warehouse in Landover, Maryland, Requires Immediate EPA Attention

    EPA Pesticide Factsheets

    Statement of Inspector General Arthur A. Elkins, Jr., on the Office of Inspector General (OIG) report Early Warning Report: Main EPA Headquarters Warehouse in Landover, Maryland, Requires Immediate EPA Attention.

  6. The Architecture Design of Detection and Calibration System for High-voltage Electrical Equipment

    NASA Astrophysics Data System (ADS)

    Ma, Y.; Lin, Y.; Yang, Y.; Gu, Ch; Yang, F.; Zou, L. D.

    2018-01-01

    With the construction of Material Quality Inspection Center of Shandong electric power company, Electric Power Research Institute takes on more jobs on quality analysis and laboratory calibration for high-voltage electrical equipment, and informationization construction becomes urgent. In the paper we design a consolidated system, which implements the electronic management and online automation process for material sampling, test apparatus detection and field test. In the three jobs we use QR code scanning, online Word editing and electronic signature. These techniques simplify the complex process of warehouse management and testing report transferring, and largely reduce the manual procedure. The construction of the standardized detection information platform realizes the integrated management of high-voltage electrical equipment from their networking, running to periodic detection. According to system operation evaluation, the speed of transferring report is doubled, and querying data is also easier and faster.

  7. Ethical, Legal and Social Issues related to the health data-warehouses: re-using health data in the research and public health research.

    PubMed

    Lamas, Eugenia; Barh, Anne; Brown, Dario; Jaulent, Marie-Christine

    2015-01-01

    Research derived from the application of information and communication technologies in medicine operates in a context involving the globalization of collecting, sharing, storage, transfer and re-use of personal health data. Health data computerization within Clinical Information Systems (as Electronic Healthcare Records) should allow the re-use of health data for clinical research and public health purposes. One of the objects allowing the integration of healthcare and research information systems is the health data-warehouse (DWH). However, ethical-legal frameworks in force are not adapted to these DWHs because they were not conceived for re-using data in a different context than the one of their acquisition. For that matter, access modalities to data-warehouses must ensure the respect of patients' rights: information to the patient, as well as confidentiality and security. Through a bibliography research, some Ethical, legal and Social Issues (ELSI) have been identified: Patients' rights Modalities of implementation of the DWs; Solidarity and common good; Transparency and Trust. Comparative analysis between the Directive 95/46/CE and the "Proposal for regulation on protection of individuals with regard to the processing of personal data" shows that this regulation pretends allowing the re-use of key-coded data when aimed at a scientific purpose. However, since this new regulation does not align with the ethical and legal requirements at an operational level, a Code of practice on secondary use of Medical Data in scientific Research Projects has been developed at the European Level. This Code provides guidance for Innovative Medicine Initiative (IMI) and will help to propose practical solutions to overcome the issue of the re-use of data for research purposes.

  8. 19 CFR 7.1 - Puerto Rico; spirits and wines withdrawn from warehouse for shipment to; duty on foreign-grown...

    Code of Federal Regulations, 2010 CFR

    2010-04-01

    ... 19 Customs Duties 1 2010-04-01 2010-04-01 false Puerto Rico; spirits and wines withdrawn from... INSULAR POSSESSIONS AND GUANTANAMO BAY NAVAL STATION § 7.1 Puerto Rico; spirits and wines withdrawn from warehouse for shipment to; duty on foreign-grown coffee. (a) When spirits and wines are withdrawn from a...

  9. 19 CFR 7.1 - Puerto Rico; spirits and wines withdrawn from warehouse for shipment to; duty on foreign-grown...

    Code of Federal Regulations, 2012 CFR

    2012-04-01

    ... 19 Customs Duties 1 2012-04-01 2012-04-01 false Puerto Rico; spirits and wines withdrawn from... INSULAR POSSESSIONS AND GUANTANAMO BAY NAVAL STATION § 7.1 Puerto Rico; spirits and wines withdrawn from... bonded manufacturing warehouse for shipment in bond to Puerto Rico pursuant to section 311, Tariff Act of...

  10. 19 CFR 7.1 - Puerto Rico; spirits and wines withdrawn from warehouse for shipment to; duty on foreign-grown...

    Code of Federal Regulations, 2013 CFR

    2013-04-01

    ... 19 Customs Duties 1 2013-04-01 2013-04-01 false Puerto Rico; spirits and wines withdrawn from... INSULAR POSSESSIONS AND GUANTANAMO BAY NAVAL STATION § 7.1 Puerto Rico; spirits and wines withdrawn from... bonded manufacturing warehouse for shipment in bond to Puerto Rico pursuant to section 311, Tariff Act of...

  11. 19 CFR 7.1 - Puerto Rico; spirits and wines withdrawn from warehouse for shipment to; duty on foreign-grown...

    Code of Federal Regulations, 2014 CFR

    2014-04-01

    ... 19 Customs Duties 1 2014-04-01 2014-04-01 false Puerto Rico; spirits and wines withdrawn from... INSULAR POSSESSIONS AND GUANTANAMO BAY NAVAL STATION § 7.1 Puerto Rico; spirits and wines withdrawn from... bonded manufacturing warehouse for shipment in bond to Puerto Rico pursuant to section 311, Tariff Act of...

  12. Operations management system

    NASA Technical Reports Server (NTRS)

    Brandli, A. E.; Eckelkamp, R. E.; Kelly, C. M.; Mccandless, W.; Rue, D. L.

    1990-01-01

    The objective of an operations management system is to provide an orderly and efficient method to operate and maintain aerospace vehicles. Concepts are described for an operations management system and the key technologies are highlighted which will be required if this capability is brought to fruition. Without this automation and decision aiding capability, the growing complexity of avionics will result in an unmanageable workload for the operator, ultimately threatening mission success or survivability of the aircraft or space system. The key technologies include expert system application to operational tasks such as replanning, equipment diagnostics and checkout, global system management, and advanced man machine interfaces. The economical development of operations management systems, which are largely software, will require advancements in other technological areas such as software engineering and computer hardware.

  13. Examination of Routine Practice Patterns in the Hospital Information Data Warehouse: Use of OLAP and Rough Set Analysis with Clinician Feedback

    PubMed Central

    Grant, Andrew; Grant, Gwyneth; Gagné, Jean; Blanchette, Carl; Comeau, Émilie; Brodeur, Guillaume; Dionne, Jonathon; Ayite, Alphonse; Synak, Piotr; Wroblewski, Jakub; Apanowitz, Cas

    2001-01-01

    The patient centred electronic patient record enables retrospective analysis of practice patterns as one means to assist clinicians adjust and improve their practice. An interrogation of the data-warehouse linking test use to Diagnostic Related Group (DRG) of one years data of the Sherbrooke University Hospital showed that one-third of patients used two-thirds of these diagnostic tests. Using RoughSets analysis, zones of repeated tests were demonstrated where results remained within stable limits. It was concluded that 30% of fluid and electrolyte testing was probably unnecessary. These findings led to an endorsement of changing the test request formats in the hospital information system from profiles to individual tests requiring justification.

  14. LQ optimal and reaching law-based sliding modes for inventory management systems

    NASA Astrophysics Data System (ADS)

    Ignaciuk, Przemysław; Bartoszewicz, Andrzej

    2012-01-01

    In this article, the theory of discrete sliding-mode control is used to design new supply strategies for periodic-review inventory systems. In the considered systems, the stock used to fulfil an unknown, time-varying demand can be replenished from a single supply source or from multiple suppliers procuring orders with different delays. The proposed strategies guarantee that demand is always entirely satisfied from the on-hand stock (yielding the maximum service level), and the warehouse capacity is not exceeded (which eliminates the cost of emergency storage). In contrast to the classical, stochastic approaches, in this article, we focus on optimising the inventory system dynamics. The parameters of the first control strategy are selected by minimising a quadratic cost functional. Next, it is shown how the system dynamical performance can be improved by applying the concept of a reaching law with the appropriately adjusted reaching phase. The stable, nonoscillatory behaviour of the closed-loop system is demonstrated and the properties of the designed controllers are discussed and strictly proved.

  15. Appendix E: Supplemental Risk Management Program Guidance for Ammonia Refrigeration Facilities

    EPA Pesticide Factsheets

    Additional information for food processors, food distributors, refrigerated warehouses, and any other facility that has an ammonia refrigeration system. Includes details on exemption for farms, threshold quantity, and offsite consequence analysis.

  16. DB4US: A Decision Support System for Laboratory Information Management

    PubMed Central

    Hortas, Maria Luisa; Baena-García, Manuel; Lana-Linati, Jorge; González, Carlos; Redondo, Maximino; Morales-Bueno, Rafael

    2012-01-01

    Background Until recently, laboratory automation has focused primarily on improving hardware. Future advances are concentrated on intelligent software since laboratories performing clinical diagnostic testing require improved information systems to address their data processing needs. In this paper, we propose DB4US, an application that automates information related to laboratory quality indicators information. Currently, there is a lack of ready-to-use management quality measures. This application addresses this deficiency through the extraction, consolidation, statistical analysis, and visualization of data related to the use of demographics, reagents, and turn-around times. The design and implementation issues, as well as the technologies used for the implementation of this system, are discussed in this paper. Objective To develop a general methodology that integrates the computation of ready-to-use management quality measures and a dashboard to easily analyze the overall performance of a laboratory, as well as automatically detect anomalies or errors. The novelty of our approach lies in the application of integrated web-based dashboards as an information management system in hospital laboratories. Methods We propose a new methodology for laboratory information management based on the extraction, consolidation, statistical analysis, and visualization of data related to demographics, reagents, and turn-around times, offering a dashboard-like user web interface to the laboratory manager. The methodology comprises a unified data warehouse that stores and consolidates multidimensional data from different data sources. The methodology is illustrated through the implementation and validation of DB4US, a novel web application based on this methodology that constructs an interface to obtain ready-to-use indicators, and offers the possibility to drill down from high-level metrics to more detailed summaries. The offered indicators are calculated beforehand so that they

  17. DB4US: A Decision Support System for Laboratory Information Management.

    PubMed

    Carmona-Cejudo, José M; Hortas, Maria Luisa; Baena-García, Manuel; Lana-Linati, Jorge; González, Carlos; Redondo, Maximino; Morales-Bueno, Rafael

    2012-11-14

    Until recently, laboratory automation has focused primarily on improving hardware. Future advances are concentrated on intelligent software since laboratories performing clinical diagnostic testing require improved information systems to address their data processing needs. In this paper, we propose DB4US, an application that automates information related to laboratory quality indicators information. Currently, there is a lack of ready-to-use management quality measures. This application addresses this deficiency through the extraction, consolidation, statistical analysis, and visualization of data related to the use of demographics, reagents, and turn-around times. The design and implementation issues, as well as the technologies used for the implementation of this system, are discussed in this paper. To develop a general methodology that integrates the computation of ready-to-use management quality measures and a dashboard to easily analyze the overall performance of a laboratory, as well as automatically detect anomalies or errors. The novelty of our approach lies in the application of integrated web-based dashboards as an information management system in hospital laboratories. We propose a new methodology for laboratory information management based on the extraction, consolidation, statistical analysis, and visualization of data related to demographics, reagents, and turn-around times, offering a dashboard-like user web interface to the laboratory manager. The methodology comprises a unified data warehouse that stores and consolidates multidimensional data from different data sources. The methodology is illustrated through the implementation and validation of DB4US, a novel web application based on this methodology that constructs an interface to obtain ready-to-use indicators, and offers the possibility to drill down from high-level metrics to more detailed summaries. The offered indicators are calculated beforehand so that they are ready to use when the user

  18. REDUCING REFRIGERANT EMISSIONS FROM SUPERMARKET SYSTEMS

    EPA Science Inventory

    Large refrigeration systems are found in several applications including supermarkets, cold storage warehouses, and industrial processes. The sizes of these systems are a contributing factor to their problems of high refrigerant leak rates because of the thousands of connections, ...

  19. KAMEDO report no. 82: explosion at the fireworks warehouse in the Netherlands in 2000.

    PubMed

    Björnhagen, Viveka; Messner, Torbjörn; Brändström, Helge

    2006-01-01

    A fire and subsequent explosions occurred in a fireworks warehouse on 13 May 2000. A total of 947 persons were injured and 21 persons died, including four firefighters and one reporter. Communication networks became overloaded and impaired notification chains. The hospital disaster plan was followed, but was proved inadequate. Public information was a high priority. A counselling center was established early and was planned to continue operation for five years. The command function did not perform to expectations. Hospital triage was impaired as many responsible left the triage area. Short-term psychosocial support evolved to long-term programs. Liability issues were examined.

  20. Lighting system with thermal management system

    DOEpatents

    Arik, Mehmet; Weaver, Stanton Earl; Stecher, Thomas Elliot; Seeley, Charles Erklin; Kuenzler, Glenn Howard; Wolfe, Jr., Charles Franklin; Utturkar, Yogen Vishwas; Sharma, Rajdeep; Prabhakaran, Satish; Icoz, Tunc

    2015-02-24

    Lighting systems having unique configurations are provided. For instance, the lighting system may include a light source, a thermal management system and driver electronics, each contained within a housing structure. The light source is configured to provide illumination visible through an opening in the housing structure. The thermal management system is configured to provide an air flow, such as a unidirectional air flow, through the housing structure in order to cool the light source. The driver electronics are configured to provide power to each of the light source and the thermal management system.

  1. Lighting system with thermal management system

    DOEpatents

    Arik, Mehmet; Weaver, Stanton Earl; Stecher, Thomas Elliot; Seeley, Charles Erklin; Kuenzler, Glenn Howard; Wolfe, Jr., Charles Franklin; Utturkar, Yogen Vishwas; Sharma, Rajdeep; Prabhakaran, Satish; Icoz, Tunc

    2015-08-25

    Lighting systems having unique configurations are provided. For instance, the lighting system may include a light source, a thermal management system and driver electronics, each contained within a housing structure. The light source is configured to provide illumination visible through an opening in the housing structure. The thermal management system is configured to provide an air flow, such as a unidirectional air flow, through the housing structure in order to cool the light source. The driver electronics are configured to provide power to each of the light source and the thermal management system.

  2. Lighting system with thermal management system

    DOEpatents

    Arik, Mehmet; Weaver, Stanton; Stecher, Thomas; Seeley, Charles; Kuenzler, Glenn; Wolfe, Jr., Charles; Utturkar, Yogen; Sharma, Rajdeep; Prabhakaran, Satish; Icoz, Tunc

    2013-05-07

    Lighting systems having unique configurations are provided. For instance, the lighting system may include a light source, a thermal management system and driver electronics, each contained within a housing structure. The light source is configured to provide illumination visible through an opening in the housing structure. The thermal management system is configured to provide an air flow, such as a unidirectional air flow, through the housing structure in order to cool the light source. The driver electronics are configured to provide power to each of the light source and the thermal management system.

  3. Lighting system with thermal management system

    DOEpatents

    Arik, Mehmet; Weaver, Stanton Earl; Stecher, Thomas Elliot; Seeley, Charles Erklin; Kuenzler, Glenn Howard; Wolfe, Jr, Charles Franklin; Utturkar, Yogen Vishwas; Sharma, Rajdeep; Prabhakaran, Satish; Icoz, Tunc

    2016-10-11

    Lighting systems having unique configurations are provided. For instance, the lighting system may include a light source, a thermal management system and driver electronics, each contained within a housing structure. The light source is configured to provide illumination visible through an opening in the housing structure. The thermal management system is configured to provide an air flow, such as a unidirectional air flow, through the housing structure in order to cool the light source. The driver electronics are configured to provide power to each of the light source and the thermal management system.

  4. The Application of Collaborative Business Intelligence Technology in the Hospital SPD Logistics Management Model.

    PubMed

    Liu, Tongzhu; Shen, Aizong; Hu, Xiaojian; Tong, Guixian; Gu, Wei

    2017-06-01

    We aimed to apply collaborative business intelligence (BI) system to hospital supply, processing and distribution (SPD) logistics management model. We searched Engineering Village database, China National Knowledge Infrastructure (CNKI) and Google for articles (Published from 2011 to 2016), books, Web pages, etc., to understand SPD and BI related theories and recent research status. For the application of collaborative BI technology in the hospital SPD logistics management model, we realized this by leveraging data mining techniques to discover knowledge from complex data and collaborative techniques to improve the theories of business process. For the application of BI system, we: (i) proposed a layered structure of collaborative BI system for intelligent management in hospital logistics; (ii) built data warehouse for the collaborative BI system; (iii) improved data mining techniques such as supporting vector machines (SVM) and swarm intelligence firefly algorithm to solve key problems in hospital logistics collaborative BI system; (iv) researched the collaborative techniques oriented to data and business process optimization to improve the business processes of hospital logistics management. Proper combination of SPD model and BI system will improve the management of logistics in the hospitals. The successful implementation of the study requires: (i) to innovate and improve the traditional SPD model and make appropriate implement plans and schedules for the application of BI system according to the actual situations of hospitals; (ii) the collaborative participation of internal departments in hospital including the department of information, logistics, nursing, medical and financial; (iii) timely response of external suppliers.

  5. Managing hybrid marketing systems.

    PubMed

    Moriarty, R T; Moran, U

    1990-01-01

    As competition increases and costs become critical, companies that once went to market only one way are adding new channels and using new methods - creating hybrid marketing systems. These hybrid marketing systems hold the promise of greater coverage and reduced costs. But they are also hard to manage; they inevitably raise questions of conflict and control: conflict because marketing units compete for customers; control because new indirect channels are less subject to management authority. Hard as they are to manage, however, hybrid marketing systems promise to become the dominant design, replacing the "purebred" channel strategy in all kinds of businesses. The trick to managing the hybrid is to analyze tasks and channels within and across a marketing system. A map - the hybrid grid - can help managers make sense of their hybrid system. What the chart reveals is that channels are not the basic building blocks of a marketing system; marketing tasks are. The hybrid grid forces managers to consider various combinations of channels and tasks that will optimize both cost and coverage. Managing conflict is also an important element of a successful hybrid system. Managers should first acknowledge the inevitability of conflict. Then they should move to bound it by creating guidelines that spell out which customers to serve through which methods. Finally, a marketing and sales productivity (MSP) system, consisting of a central marketing database, can act as the central nervous system of a hybrid marketing system, helping managers create customized channels and service for specific customer segments.

  6. Information Security Management - Part Of The Integrated Management System

    NASA Astrophysics Data System (ADS)

    Manea, Constantin Adrian

    2015-07-01

    The international management standards allow their integrated approach, thereby combining aspects of particular importance to the activity of any organization, from the quality management systems or the environmental management of the information security systems or the business continuity management systems. Although there is no national or international regulation, nor a defined standard for the Integrated Management System, the need to implement an integrated system occurs within the organization, which feels the opportunity to integrate the management components into a cohesive system, in agreement with the purpose and mission publicly stated. The issues relating to information security in the organization, from the perspective of the management system, raise serious questions to any organization in the current context of electronic information, reason for which we consider not only appropriate but necessary to promote and implement an Integrated Management System Quality - Environment - Health and Operational Security - Information Security

  7. POLLUTION PREVENTION OPPORTUNITY ASSESSMENT UNITED STATES ARMY CORPS OF ENGINEERS PITTSBURGH ENGINEER WAREHOUSE AND REPAIR STATION AND EMSWORTH LOCKS AND DAMS PITTSBURGH, PENNSYLVANIA

    EPA Science Inventory

    This report summarizes work conducted at the United States Army Corps of Engineers (USACE) Pittsburgh Engineering Warehouse and Repair Station (PEWARS) and Emsworth Locks and Dams in Pittsburgh, Pennsylvania under the U.S. Environmental Protection Agency's (EPA's) Waste Reduction...

  8. [Toward a new model of pharmacy management comprehensive care of patients with chronic kidney disease].

    PubMed

    Muros-Ortega, M; Ramos, R; Molina, M

    2014-07-01

    The treatment of chronic kidney disease represents 2.5% of the National Healthcare System budget. Given the panorama of economic crisis, actions aimed at containing the costs in this kind of pathologies should be implemented. Centralization of the management of the medications used for the treatment of chronic kidney disease and its complications aims at reducing the pharmaceutical expenditure. The new contracts of public healthcare administrations with companies of dialysis centers establish a single price by which the contractor takes care of the integral management of the patients, including the dialysis therapy and pharmacological treatment. Drug management at dialysis centers will be handled by specialized pharmacists by means of the creation of pharmacy departments or drug warehouse. these measures aim at improving healthcare of the patient in hemodialysis program, with health benefits at a lower healthcare cost. Copyright AULA MEDICA EDICIONES 2014. Published by AULA MEDICA. All rights reserved.

  9. General RMP Guidance - Appendix E: Supplemental Risk Management Program Guidance for Ammonia Refrigeration Facilities

    EPA Pesticide Factsheets

    Additional information for food processors, food distributors, refrigerated warehouses, and any other facility with ammonia refrigeration system. Includes guidance on exemptions, threshold quantity, offsite consequence analysis.

  10. Empowering Mayo Clinic Individualized Medicine with Genomic Data Warehousing

    PubMed Central

    Horton, Iain; Lin, Yaxiong; Reed, Gay; Wiepert, Mathieu

    2017-01-01

    Individualized medicine enables better diagnoses and treatment decisions for patients and promotes research in understanding the molecular underpinnings of disease. Linking individual patient’s genomic and molecular information with their clinical phenotypes is crucial to these efforts. To address this need, the Center for Individualized Medicine at Mayo Clinic has implemented a genomic data warehouse and a workflow management system to bring data from institutional electronic health records and genomic sequencing data from both clinical and research bioinformatics sources into the warehouse. The system is the foundation for Mayo Clinic to build a suite of tools and interfaces to support various clinical and research use cases. The genomic data warehouse is positioned to play a key role in enhancing the research capabilities and advancing individualized patient care at Mayo Clinic. PMID:28829408

  11. Empowering Mayo Clinic Individualized Medicine with Genomic Data Warehousing.

    PubMed

    Horton, Iain; Lin, Yaxiong; Reed, Gay; Wiepert, Mathieu; Hart, Steven

    2017-08-22

    Individualized medicine enables better diagnoses and treatment decisions for patients and promotes research in understanding the molecular underpinnings of disease. Linking individual patient's genomic and molecular information with their clinical phenotypes is crucial to these efforts. To address this need, the Center for Individualized Medicine at Mayo Clinic has implemented a genomic data warehouse and a workflow management system to bring data from institutional electronic health records and genomic sequencing data from both clinical and research bioinformatics sources into the warehouse. The system is the foundation for Mayo Clinic to build a suite of tools and interfaces to support various clinical and research use cases. The genomic data warehouse is positioned to play a key role in enhancing the research capabilities and advancing individualized patient care at Mayo Clinic.

  12. Evidence of Allergic Reactions and Cardiopulmonary Impairments among Traders Operating from Foodstuff Warehouses

    PubMed Central

    Egbosionu, Viola; Ibeneme, Georgian; Ezuma, Amarachi; Ettu, Theresa; Nwankwo, Joseph; Limaye, Dnyanesh; Nna, Emmanuel

    2016-01-01

    Background. Foodstuff traders operating from warehouses (FTFW) are potentially exposed to dangerous rodenticides/pesticides that may have adverse effects on cardiopulmonary function. Methods. Fifty consenting male foodstuff traders, comprising 15 traders (21–63 years) operating outside warehouses and 35 FTFW (20–64 years), were randomly recruited at Ogbete Market, Enugu, in a cross-sectional observational study of spirometric and electrocardiographic parameters. Seventeen FTFW (21–57 years) participated in focus group discussions. Qualitative and quantitative data were analysed thematically and with independent t-test and Pearson correlation coefficient at p < 0.05, respectively. Results. Most FTFW experienced respiratory symptoms, especially dry cough (97.1%) and wheezing (31.4%) with significant reductions in forced vital capacity (FVC) (t = −2.654; p = 0.011), forced expiratory volume in one second (FEV1) (t = −2.240; p = 0.030), maximum expiratory flow rate (FEF200–1200) (t = −1.148; p = −0.047), and forced end-expiratory flow (FEF75–85) (t = −1.11; p = 0.007). The maximum mid-expiratory flow (FEF25–75) was marginally decreased (p > 0.05) with a significantly prolonged (p < 0.05) QTc interval. Conclusion. Allergic response was evident in the FTFW. Significant decrease in FVC may negatively impact lung flow rates and explains the marginal decrease in FEF25–75, which implies a relative limitation in airflow of peripheral/distal airways and elastic recoil of the lungs. This is consistent with obstructive pulmonary disease; a significant decrease in FEF75–85/FEV1 supports this conclusion. Significant decrease in FEF200–1200 indicates abnormalities in the large airways/larynx just as significantly prolonged ventricular repolarization suggests cardiac arrhythmias. PMID:28116288

  13. A systems engineering management approach to resource management applications

    NASA Technical Reports Server (NTRS)

    Hornstein, Rhoda Shaller

    1989-01-01

    The author presents a program management response to the following question: How can the traditional practice of systems engineering management, including requirements specification, be adapted, enhanced, or modified to build future planning and scheduling systems for effective operations? The systems engineering management process, as traditionally practiced, is examined. Extensible resource management systems are discussed. It is concluded that extensible systems are a partial solution to problems presented by requirements that are incomplete, partially immeasurable, and often dynamic. There are positive indications that resource management systems have been characterized and modeled sufficiently to allow their implementation as extensible systems.

  14. 31 CFR 593.412 - Release of any round log or timber product originating in Liberia from a bonded warehouse or...

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ... 31 Money and Finance:Treasury 3 2012-07-01 2012-07-01 false Release of any round log or timber... Interpretations § 593.412 Release of any round log or timber product originating in Liberia from a bonded... from a bonded warehouse or foreign trade zone of any round log or timber product originating in Liberia...

  15. 31 CFR 593.412 - Release of any round log or timber product originating in Liberia from a bonded warehouse or...

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ... 31 Money and Finance:Treasury 3 2013-07-01 2013-07-01 false Release of any round log or timber... Interpretations § 593.412 Release of any round log or timber product originating in Liberia from a bonded... from a bonded warehouse or foreign trade zone of any round log or timber product originating in Liberia...

  16. 31 CFR 593.412 - Release of any round log or timber product originating in Liberia from a bonded warehouse or...

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... 31 Money and Finance:Treasury 3 2011-07-01 2011-07-01 false Release of any round log or timber product originating in Liberia from a bonded warehouse or foreign trade zone. 593.412 Section 593.412 Money and Finance: Treasury Regulations Relating to Money and Finance (Continued) OFFICE OF FOREIGN ASSETS CONTROL, DEPARTMENT OF THE TREASURY FORMER...

  17. 31 CFR 593.412 - Release of any round log or timber product originating in Liberia from a bonded warehouse or...

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ... 31 Money and Finance:Treasury 3 2014-07-01 2014-07-01 false Release of any round log or timber product originating in Liberia from a bonded warehouse or foreign trade zone. 593.412 Section 593.412 Money and Finance: Treasury Regulations Relating to Money and Finance (Continued) OFFICE OF FOREIGN ASSETS CONTROL, DEPARTMENT OF THE TREASURY FORMER...

  18. 31 CFR 593.412 - Release of any round log or timber product originating in Liberia from a bonded warehouse or...

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... 31 Money and Finance: Treasury 3 2010-07-01 2010-07-01 false Release of any round log or timber product originating in Liberia from a bonded warehouse or foreign trade zone. 593.412 Section 593.412 Money and Finance: Treasury Regulations Relating to Money and Finance (Continued) OFFICE OF FOREIGN ASSETS CONTROL, DEPARTMENT OF THE TREASURY FORMER...

  19. Applying Service-Oriented Architecture on The Development of Groundwater Modeling Support System

    NASA Astrophysics Data System (ADS)

    Li, C. Y.; WANG, Y.; Chang, L. C.; Tsai, J. P.; Hsiao, C. T.

    2016-12-01

    Groundwater simulation has become an essential step on the groundwater resources management and assessment. There are many stand-alone pre- and post-processing software packages to alleviate the model simulation loading, but the stand-alone software do not consider centralized management of data and simulation results neither do they provide network sharing functions. Hence, it is difficult to share and reuse the data and knowledge (simulation cases) systematically within or across companies. Therefore, this study develops a centralized and network based groundwater modeling support system to assist model construction. The system is based on service-oriented architecture and allows remote user to develop their modeling cases on internet. The data and cases (knowledge) are thus easy to manage centralized. MODFLOW is the modeling engine of the system, which is the most popular groundwater model in the world. The system provides a data warehouse to restore groundwater observations, MODFLOW Support Service, MODFLOW Input File & Shapefile Convert Service, MODFLOW Service, and Expert System Service to assist researchers to build models. Since the system architecture is service-oriented, it is scalable and flexible. The system can be easily extended to include the scenarios analysis and knowledge management to facilitate the reuse of groundwater modeling knowledge.

  20. Inventory and Billing Systems for Multiple Users.

    ERIC Educational Resources Information Center

    Frazier, Lavon

    Washington State University developed a comprehensive supplies inventory system and a generalized billing system with multiple users in mind. The supplies inventory control system developed for Central Stores, a self-sustaining service center that purchases and warehouses office, laboratory, and hardware supplies, was called AIMS, An Inventory…

  1. A two-stage optimization model for emergency material reserve layout planning under uncertainty in response to environmental accidents.

    PubMed

    Liu, Jie; Guo, Liang; Jiang, Jiping; Jiang, Dexun; Liu, Rentao; Wang, Peng

    2016-06-05

    In the emergency management relevant to pollution accidents, efficiency emergency rescues can be deeply influenced by a reasonable assignment of the available emergency materials to the related risk sources. In this study, a two-stage optimization framework is developed for emergency material reserve layout planning under uncertainty to identify material warehouse locations and emergency material reserve schemes in pre-accident phase coping with potential environmental accidents. This framework is based on an integration of Hierarchical clustering analysis - improved center of gravity (HCA-ICG) model and material warehouse location - emergency material allocation (MWL-EMA) model. First, decision alternatives are generated using HCA-ICG to identify newly-built emergency material warehouses for risk sources which cannot be satisfied by existing ones with a time-effective manner. Second, emergency material reserve planning is obtained using MWL-EMA to make emergency materials be prepared in advance with a cost-effective manner. The optimization framework is then applied to emergency management system planning in Jiangsu province, China. The results demonstrate that the developed framework not only could facilitate material warehouse selection but also effectively provide emergency material for emergency operations in a quick response. Copyright © 2016. Published by Elsevier B.V.

  2. Waste management system

    NASA Technical Reports Server (NTRS)

    Sauer, R. L.; Jorgensen, G. K.

    1975-01-01

    The function of the waste management system was to control the disposition of solid and liquid wastes and waste stowage gases. The waste management system consisting of a urine subsystem and a fecal subsystem is described in detail and its overall performance is evaluated. Recommendations for improvement are given.

  3. The Application of Collaborative Business Intelligence Technology in the Hospital SPD Logistics Management Model

    PubMed Central

    LIU, Tongzhu; SHEN, Aizong; HU, Xiaojian; TONG, Guixian; GU, Wei

    2017-01-01

    Background: We aimed to apply collaborative business intelligence (BI) system to hospital supply, processing and distribution (SPD) logistics management model. Methods: We searched Engineering Village database, China National Knowledge Infrastructure (CNKI) and Google for articles (Published from 2011 to 2016), books, Web pages, etc., to understand SPD and BI related theories and recent research status. For the application of collaborative BI technology in the hospital SPD logistics management model, we realized this by leveraging data mining techniques to discover knowledge from complex data and collaborative techniques to improve the theories of business process. Results: For the application of BI system, we: (i) proposed a layered structure of collaborative BI system for intelligent management in hospital logistics; (ii) built data warehouse for the collaborative BI system; (iii) improved data mining techniques such as supporting vector machines (SVM) and swarm intelligence firefly algorithm to solve key problems in hospital logistics collaborative BI system; (iv) researched the collaborative techniques oriented to data and business process optimization to improve the business processes of hospital logistics management. Conclusion: Proper combination of SPD model and BI system will improve the management of logistics in the hospitals. The successful implementation of the study requires: (i) to innovate and improve the traditional SPD model and make appropriate implement plans and schedules for the application of BI system according to the actual situations of hospitals; (ii) the collaborative participation of internal departments in hospital including the department of information, logistics, nursing, medical and financial; (iii) timely response of external suppliers. PMID:28828316

  4. 31 CFR 585.412 - Release of goods originating in the FRY (S&M) from a bonded warehouse or foreign trade zone.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... 31 Money and Finance: Treasury 3 2010-07-01 2010-07-01 false Release of goods originating in the FRY (S&M) from a bonded warehouse or foreign trade zone. 585.412 Section 585.412 Money and Finance: Treasury Regulations Relating to Money and Finance (Continued) OFFICE OF FOREIGN ASSETS CONTROL, DEPARTMENT OF THE TREASURY FEDERAL REPUBLIC OF...

  5. 76 FR 52320 - Privacy Act of 1974; System of Records

    Federal Register 2010, 2011, 2012, 2013, 2014

    2011-08-22

    ..., or other clinical circumstances as defined by system requirements. To provide a data warehouse... Defense. DHA 23 System name: Pharmacy Data Transaction Service (PDTS). System location: Primary: Emdeon... retail pharmacy network, and commercial pharmacies. Categories of records in the system: Electronic data...

  6. Managing Conflict in Temporary Management Systems

    ERIC Educational Resources Information Center

    Wilemon, David L.

    1973-01-01

    As organizational tasks have grown more complex, several innovative temporary management systems such as matrix management have been developed. The Apollo space program has been an important contribution to the development of matrix management techniques. Discusses the role of conflict within the matrix, its determinants, and the process of…

  7. Management Information Systems Research.

    DTIC Science & Technology

    Research on management information systems is illusive in many respects. Part of the basic research problem in MIS stems from the absence of standard...decision making. But the transition from these results to the realization of ’satisfactory’ management information systems remains difficult indeed. The...paper discusses several aspects of research on management information systems and reviews a selection of efforts that appear significant for future progress. (Author)

  8. Analysis of Unmanned Systems in Military Logistics

    DTIC Science & Technology

    2016-12-01

    opportunities to employ unmanned systems to support logistic operations. 14. SUBJECT TERMS unmanned systems, robotics , UAVs, UGVs, USVs, UUVs, military...Industrial Robots at Warehouses / Distribution Centers .............................................................................. 17 2. Unmanned...Autonomous Robot Gun Turret. Source: Blain (2010)................................................... 33 Figure 4. Robot Sentries for Base Patrol

  9. Order batching in warehouses by minimizing total tardiness: a hybrid approach of weighted association rule mining and genetic algorithms.

    PubMed

    Azadnia, Amir Hossein; Taheri, Shahrooz; Ghadimi, Pezhman; Saman, Muhamad Zameri Mat; Wong, Kuan Yew

    2013-01-01

    One of the cost-intensive issues in managing warehouses is the order picking problem which deals with the retrieval of items from their storage locations in order to meet customer requests. Many solution approaches have been proposed in order to minimize traveling distance in the process of order picking. However, in practice, customer orders have to be completed by certain due dates in order to avoid tardiness which is neglected in most of the related scientific papers. Consequently, we proposed a novel solution approach in order to minimize tardiness which consists of four phases. First of all, weighted association rule mining has been used to calculate associations between orders with respect to their due date. Next, a batching model based on binary integer programming has been formulated to maximize the associations between orders within each batch. Subsequently, the order picking phase will come up which used a Genetic Algorithm integrated with the Traveling Salesman Problem in order to identify the most suitable travel path. Finally, the Genetic Algorithm has been applied for sequencing the constructed batches in order to minimize tardiness. Illustrative examples and comparisons are presented to demonstrate the proficiency and solution quality of the proposed approach.

  10. Strategic management of health care information systems: nurse managers' perceptions.

    PubMed

    Lammintakanen, Johanna; Kivinen, Tuula; Saranto, Kaija; Kinnunen, Juha

    2009-01-01

    The aim of this study is to describe nurse managers' perceptions of the strategic management of information systems in health care. Lack of strategic thinking is a typical feature in health care and this may also concern information systems. The data for this study was collected by eight focus group interviews including altogether 48 nurse managers from primary and specialised health care. Five main categories described the strategic management of information systems in health care; IT as an emphasis of strategy; lack of strategic management of information systems; the importance of management; problems in privacy protection; and costs of IT. Although IT was emphasised in the strategies of many health care organisations, a typical feature was a lack of strategic management of information systems. This was seen both as an underutilisation of IT opportunities in health care organisations and as increased workload from nurse managers' perspective. Furthermore, the nurse managers reported that implementation of IT strengthened their managerial roles but also required stronger management. In conclusion, strategic management of information systems needs to be strengthened in health care and nurse managers should be more involved in this process.

  11. Resource Management for Distributed Parallel Systems

    NASA Technical Reports Server (NTRS)

    Neuman, B. Clifford; Rao, Santosh

    1993-01-01

    Multiprocessor systems should exist in the the larger context of distributed systems, allowing multiprocessor resources to be shared by those that need them. Unfortunately, typical multiprocessor resource management techniques do not scale to large networks. The Prospero Resource Manager (PRM) is a scalable resource allocation system that supports the allocation of processing resources in large networks and multiprocessor systems. To manage resources in such distributed parallel systems, PRM employs three types of managers: system managers, job managers, and node managers. There exist multiple independent instances of each type of manager, reducing bottlenecks. The complexity of each manager is further reduced because each is designed to utilize information at an appropriate level of abstraction.

  12. Medical-Information-Management System

    NASA Technical Reports Server (NTRS)

    Alterescu, Sidney; Friedman, Carl A.; Frankowski, James W.

    1989-01-01

    Medical Information Management System (MIMS) computer program interactive, general-purpose software system for storage and retrieval of information. Offers immediate assistance where manipulation of large data bases required. User quickly and efficiently extracts, displays, and analyzes data. Used in management of medical data and handling all aspects of data related to care of patients. Other applications include management of data on occupational safety in public and private sectors, handling judicial information, systemizing purchasing and procurement systems, and analyses of cost structures of organizations. Written in Microsoft FORTRAN 77.

  13. Database Management System

    NASA Technical Reports Server (NTRS)

    1990-01-01

    In 1981 Wayne Erickson founded Microrim, Inc, a company originally focused on marketing a microcomputer version of RIM (Relational Information Manager). Dennis Comfort joined the firm and is now vice president, development. The team developed an advanced spinoff from the NASA system they had originally created, a microcomputer database management system known as R:BASE 4000. Microrim added many enhancements and developed a series of R:BASE products for various environments. R:BASE is now the second largest selling line of microcomputer database management software in the world.

  14. The ergonomics body posture on repetitive and heavy lifting activities of workers in aerospace manufacturing warehouse

    NASA Astrophysics Data System (ADS)

    Kamat, S. R.; Zula, N. E. N. Md; Rayme, N. S.; Shamsuddin, S.; Husain, K.

    2017-06-01

    Warehouse is an important entity in manufacturing organizations. It usually involves working activities that relate ergonomics risk factors including repetitive and heavy lifting activities. Aerospace manufacturing workers are prone of having musculoskeletal disorder (MSD) problems because of the manual handling activities. From the questionnaires is states that the workers may have experience discomforts experience during manual handling work. Thus, the objectives of this study are; to investigate the body posture and analyze the level of discomfort for body posture of the workers while performing the repetitive and heavy lifting activities that cause MSD problems and to suggest proper body posture and alternatives to reduce the MSD related problems. Methodology of this study involves interviews, questionnaires distribution, anthropometry measurements, RULA (Right Upper Limb Assessment) assessment sheet and CATIA V5 RULA analysis, NIOSH lifting index (LI) and recommended weight limit (RWL). Ten workers are selected for pilot study and as for anthropometry measurement all workers in the warehouse department were involved. From the first pilot study, the RULA assessment score in CATIA V5 shows the highest score which is 7 for all postures and results after improvement of working posture is very low hence, detecting weight of the material handling is not in recommendation. To reduce the risk of MSD through the improvisation of working posture, the weight limit is also calculated in order to have a RWL for each worker. Therefore, proposing a guideline for the aerospace workers involved with repetitive movement and excessive lifting will help in reducing the risk of getting MSD.

  15. Materials management information systems.

    PubMed

    1996-01-01

    The hospital materials management function--ensuring that goods and services get from a source to an end user--encompasses many areas of the hospital and can significantly affect hospital costs. Performing this function in a manner that will keep costs down and ensure adequate cash flow requires effective management of a large amount of information from a variety of sources. To effectively coordinate such information, most hospitals have implemented some form of materials management information system (MMIS). These systems can be used to automate or facilitate functions such as purchasing, accounting, inventory management, and patient supply charges. In this study, we evaluated seven MMISs from seven vendors, focusing on the functional capabilities of each system and the quality of the service and support provided by the vendor. This Evaluation is intended to (1) assist hospitals purchasing an MMIS by educating materials managers about the capabilities, benefits, and limitations of MMISs and (2) educate clinical engineers and information system managers about the scope of materials management within a healthcare facility. Because software products cannot be evaluated in the same manner as most devices typically included in Health Devices Evaluations, our standard Evaluation protocol was not applicable for this technology. Instead, we based our ratings on our observations (e.g., during site visits), interviews we conducted with current users of each system, and information provided by the vendor (e.g., in response to a request for information [RFI]). We divided the Evaluation into the following sections: Section 1. Responsibilities and Information Requirements of Materials Management: Provides an overview of typical materials management functions and describes the capabilities, benefits, and limitations of MMISs. Also includes the supplementary article, "Inventory Cost and Reimbursement Issues" and the glossary, "Materials Management Terminology." Section 2. The

  16. The Georges Pompidou University Hospital Clinical Data Warehouse: A 8-years follow-up experience.

    PubMed

    Jannot, Anne-Sophie; Zapletal, Eric; Avillach, Paul; Mamzer, Marie-France; Burgun, Anita; Degoulet, Patrice

    2017-06-01

    When developed jointly with clinical information systems, clinical data warehouses (CDWs) facilitate the reuse of healthcare data and leverage clinical research. To describe both data access and use for clinical research, epidemiology and health service research of the "Hôpital Européen Georges Pompidou" (HEGP) CDW. The CDW has been developed since 2008 using an i2b2 platform. It was made available to health professionals and researchers in October 2010. Procedures to access data have been implemented and different access levels have been distinguished according to the nature of queries. As of July 2016, the CDW contained the consolidated data of over 860,000 patients followed since the opening of the HEGP hospital in July 2000. These data correspond to more than 122 million clinical item values, 124 million biological item values, and 3.7 million free text reports. The ethics committee of the hospital evaluates all CDW projects that generate secondary data marts. Characteristics of the 74 research projects validated between January 2011 and December 2015 are described. The use of HEGP CDWs is a key facilitator for clinical research studies. It required however important methodological and organizational support efforts from a biomedical informatics department. Copyright © 2017 Elsevier B.V. All rights reserved.

  17. Superfund record of decision (EPA Region 3): Langley AFB/NASA Langley Center, Area E Warehouse Operable Unit, Hampton, VA, September 28, 1998

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

    NONE

    1998-10-01

    This Record of Decision (ROD) presents the selected remedial action for the Area E Warehouse Operable Unit (OU) at the NASA Langley Research Center (LaRC) in Hampton, Virginia (the Site). This actions addresses the principle threat at the OU by imposing land use restrictions that will prevent any non-industrial activities to take place on the OU.

  18. Moving from Descriptive to Causal Analytics: Case Study of the Health Indicators Warehouse

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

    Schryver, Jack C.; Shankar, Mallikarjun; Xu, Songhua

    The KDD community has described a multitude of methods for knowledge discovery on large datasets. We consider some of these methods and integrate them into an analyst s workflow that proceeds from the data-centric descriptive level to the model-centric causal level. Examples of the workflow are shown for the Health Indicators Warehouse, which is a public database for community health information that is a potent resource for conducting data science on a medium scale. We demonstrate the potential of HIW as a source of serious visual analytics efforts by showing correlation matrix visualizations, multivariate outlier analysis, multiple linear regression ofmore » Medicare costs, and scatterplot matrices for a broad set of health indicators. We conclude by sketching the first steps toward a causal dependence hypothesis.« less

  19. 14 CFR 1212.704 - System manager.

    Code of Federal Regulations, 2012 CFR

    2012-01-01

    ... 14 Aeronautics and Space 5 2012-01-01 2012-01-01 false System manager. 1212.704 Section 1212.704... Authority and Responsibilities § 1212.704 System manager. (a) Each system manager is responsible for the following with regard to the system of records over which the system manager has cognizance: (1) Overall...

  20. 14 CFR 1212.705 - System manager.

    Code of Federal Regulations, 2013 CFR

    2013-01-01

    ... 14 Aeronautics and Space 5 2013-01-01 2013-01-01 false System manager. 1212.705 Section 1212.705... Authority and Responsibilities § 1212.705 System manager. (a) Each system manager is responsible for the following with regard to the system of records over which the system manager has cognizance: (1) Overall...

  1. 14 CFR 1212.704 - System manager.

    Code of Federal Regulations, 2011 CFR

    2011-01-01

    ... 14 Aeronautics and Space 5 2011-01-01 2010-01-01 true System manager. 1212.704 Section 1212.704... Authority and Responsibilities § 1212.704 System manager. (a) Each system manager is responsible for the following with regard to the system of records over which the system manager has cognizance: (1) Overall...

  2. 14 CFR 1212.704 - System manager.

    Code of Federal Regulations, 2010 CFR

    2010-01-01

    ... 14 Aeronautics and Space 5 2010-01-01 2010-01-01 false System manager. 1212.704 Section 1212.704... Authority and Responsibilities § 1212.704 System manager. (a) Each system manager is responsible for the following with regard to the system of records over which the system manager has cognizance: (1) Overall...

  3. 7 CFR 250.16 - Maintenance of records.

    Code of Federal Regulations, 2011 CFR

    2011-01-01

    ... processor, food service management company, warehouse, or other entity which contracts with a distributing... the data and method used to determine the number of eligible persons served by that agency. (6... management company, warehouse or other entity to maintain records required by this Section shall be...

  4. A quantitative study of the U.S. wood pallet industry based on supply chain management practices

    Treesearch

    Henry Quesada-Pineda; Scarlett Sanchez-Gomez; Philip A. Araman

    2012-01-01

    Pallets play an important role in the movement of goods from place to place. They are not only used in warehouses or distribution centers, but also in all those activities that require an efficient and effective method of transportation. To better understand business practices and external factors that impacts supply chain management (SCM), a survey of 1,500 U.S. wood...

  5. Fault management for data systems

    NASA Technical Reports Server (NTRS)

    Boyd, Mark A.; Iverson, David L.; Patterson-Hine, F. Ann

    1993-01-01

    Issues related to automating the process of fault management (fault diagnosis and response) for data management systems are considered. Substantial benefits are to be gained by successful automation of this process, particularly for large, complex systems. The use of graph-based models to develop a computer assisted fault management system is advocated. The general problem is described and the motivation behind choosing graph-based models over other approaches for developing fault diagnosis computer programs is outlined. Some existing work in the area of graph-based fault diagnosis is reviewed, and a new fault management method which was developed from existing methods is offered. Our method is applied to an automatic telescope system intended as a prototype for future lunar telescope programs. Finally, an application of our method to general data management systems is described.

  6. ENVIRONMENTAL SYSTEMS MANAGEMENT AND SUSTAINABLE SYSTEMS THEORY

    EPA Science Inventory

    Environmental Systems Management is the management of environmental problems at the systems level fully accounting for the multi-dimensional nature of the environment. This includes socio-economic dimensions as well as the usual physical and life science aspects. This is importa...

  7. Workflow management systems in radiology

    NASA Astrophysics Data System (ADS)

    Wendler, Thomas; Meetz, Kirsten; Schmidt, Joachim

    1998-07-01

    In a situation of shrinking health care budgets, increasing cost pressure and growing demands to increase the efficiency and the quality of medical services, health care enterprises are forced to optimize or complete re-design their processes. Although information technology is agreed to potentially contribute to cost reduction and efficiency improvement, the real success factors are the re-definition and automation of processes: Business Process Re-engineering and Workflow Management. In this paper we discuss architectures for the use of workflow management systems in radiology. We propose to move forward from information systems in radiology (RIS, PACS) to Radiology Management Systems, in which workflow functionality (process definitions and process automation) is implemented through autonomous workflow management systems (WfMS). In a workflow oriented architecture, an autonomous workflow enactment service communicates with workflow client applications via standardized interfaces. In this paper, we discuss the need for and the benefits of such an approach. The separation of workflow management system and application systems is emphasized, and the consequences that arise for the architecture of workflow oriented information systems. This includes an appropriate workflow terminology, and the definition of standard interfaces for workflow aware application systems. Workflow studies in various institutions have shown that most of the processes in radiology are well structured and suited for a workflow management approach. Numerous commercially available Workflow Management Systems (WfMS) were investigated, and some of them, which are process- oriented and application independent, appear suitable for use in radiology.

  8. Lithium battery management system

    DOEpatents

    Dougherty, Thomas J [Waukesha, WI

    2012-05-08

    Provided is a system for managing a lithium battery system having a plurality of cells. The battery system comprises a variable-resistance element electrically connected to a cell and located proximate a portion of the cell; and a device for determining, utilizing the variable-resistance element, whether the temperature of the cell has exceeded a predetermined threshold. A method of managing the temperature of a lithium battery system is also included.

  9. 7 CFR 735.6 - Suspension, revocation and liquidation.

    Code of Federal Regulations, 2011 CFR

    2011-01-01

    ... control and begin an orderly liquidation of such warehouse inventory or provider system data as provided..., DEPARTMENT OF AGRICULTURE REGULATIONS FOR WAREHOUSES REGULATIONS FOR THE UNITED STATES WAREHOUSE ACT General... licensing or provider agreement. (4) Failure to maintain control of the warehouse or provider system. (5...

  10. 7 CFR 735.6 - Suspension, revocation and liquidation.

    Code of Federal Regulations, 2010 CFR

    2010-01-01

    ... control and begin an orderly liquidation of such warehouse inventory or provider system data as provided..., DEPARTMENT OF AGRICULTURE REGULATIONS FOR WAREHOUSES REGULATIONS FOR THE UNITED STATES WAREHOUSE ACT General... licensing or provider agreement. (4) Failure to maintain control of the warehouse or provider system. (5...

  11. Archival Information Management System.

    DTIC Science & Technology

    1995-02-01

    management system named Archival Information Management System (AIMS), designed to meet the audit trail requirement for studies completed under the...are to be archived to the extent that future reproducibility and interrogation of results will exist. This report presents a prototype information

  12. Purge water management system

    DOEpatents

    Cardoso-Neto, J.E.; Williams, D.W.

    1995-01-01

    A purge water management system is described for effectively eliminating the production of purge water when obtaining a groundwater sample from a monitoring well. In its preferred embodiment, the purge water management system comprises an expandable container, a transportation system, and a return system. The purge water management system is connected to a wellhead sampling configuration, typically permanently installed at the well site. A pump, positioned with the monitoring well, pumps groundwater through the transportation system into the expandable container, which expands in direct proportion with volume of groundwater introduced, usually three or four well volumes, yet prevents the groundwater from coming into contact with the oxygen in the air. After this quantity of groundwater has been removed from the well, a sample is taken from a sampling port, after which the groundwater in the expandable container can be returned to the monitoring well through the return system. The purge water management system prevents the purge water from coming in contact with the outside environment, especially oxygen, which might cause the constituents of the groundwater to oxidize. Therefore, by introducing the purge water back into the monitoring well, the necessity of dealing with the purge water as a hazardous waste under the Resource Conservation and Recovery Act is eliminated.

  13. Purge water management system

    DOEpatents

    Cardoso-Neto, Joao E.; Williams, Daniel W.

    1996-01-01

    A purge water management system for effectively eliminating the production of purge water when obtaining a groundwater sample from a monitoring well. In its preferred embodiment, the purge water management system comprises an expandable container, a transportation system, and a return system. The purge water management system is connected to a wellhead sampling configuration, typically permanently installed at the well site. A pump, positioned with the monitoring well, pumps groundwater through the transportation system into the expandable container, which expands in direct proportion with volume of groundwater introduced, usually three or four well volumes, yet prevents the groundwater from coming into contact with the oxygen in the air. After this quantity of groundwater has been removed from the well, a sample is taken from a sampling port, after which the groundwater in the expandable container can be returned to the monitoring well through the return system. The purge water management system prevents the purge water from coming in contact with the outside environment, especially oxygen, which might cause the constituents of the groundwater to oxidize. Therefore, by introducing the purge water back into the monitoring well, the necessity of dealing with the purge water as a hazardous waste under the Resource Conservation and Recovery Act is eliminated.

  14. MAINTENANCE MANAGEMENT ACCOUNTING SYSTEM OF WASTE WATER DISPOSAL SYSTEMS

    NASA Astrophysics Data System (ADS)

    Hori, Michihiro; Tsuruta, Takashi; Kaito, Kiyoyuki; Kobayashi, Kiyoshi

    Sewage works facilities consist of various assets groups. And there are many kinds of financial resources. In order to optimize the maintenance plan, and to secure the stability and sustainability of sewage works management, it is necessary to carry out financial simulation based on the life-cycle cost analysis. Furthermore, it is important to develop management accounting system that is interlinked with the financial accounting system, because many sewage administration bodies have their financial accounting systems as public enterprises. In this paper, a management accounting system, which is designed to provide basic information for asset management of sewage works facilities, is presented. Also the applicability of the management accounting system presented in this paper is examined through financial simulations.

  15. Hospital information management system: an evolutionary knowledge management perspective.

    PubMed

    Wadhwa, S; Saxena, Avneet; Wadhwa, Bharat

    2007-01-01

    The evolving paradigm shift resulting from IT, social and technological changes has created a need for developing an innovative knowledge-based healthcare system, which can effectively meet global healthcare system demands and also cater to future trends. The Hospital Information Management System (HIMS) is developed with this sole aim in mind, which helps in processing and management of hospital information not only inside the boundary, but also beyond the hospital boundary, e.g., telemedicine or e-healthcare. The purpose of this paper is to present such kind of functional HIMS, which can efficiently satisfy the current and future system requirements by using Knowledge Management (KM) and data management systems. The HIMS is developed in a KM context, wherein users can share and use the knowledge more effectively. The proposed system is fully compatible with future technical, social, managerial and economical requirements.

  16. Flexible data-management system

    NASA Technical Reports Server (NTRS)

    Pelouch, J. J., Jr.

    1977-01-01

    Combined ASRDI Data-Management and Analysis Technique (CADMAT) is system of computer programs and procedures that can be used to conduct data-management tasks. System was developed specifically for use by scientists and engineers who are confronted with management and analysis of large quantities of data organized into records of events and parametric fields. CADMAT is particularly useful when data are continually accumulated, such as when the need of retrieval and analysis is ongoing.

  17. 41 CFR 302-7.109 - Are receipts required?

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... required? Yes, under the commuted rate system, a receipted copy of the warehouse or other bill for storage...? 302-7.109 Section 302-7.109 Public Contracts and Property Management Federal Travel Regulation System RELOCATION ALLOWANCES TRANSPORTATION AND STORAGE OF PROPERTY 7-TRANSPORTATION AND TEMPORARY STORAGE OF...

  18. A Note on Interfacing Object Warehouses and Mass Storage Systems for Data Mining Applications

    NASA Technical Reports Server (NTRS)

    Grossman, Robert L.; Northcutt, Dave

    1996-01-01

    Data mining is the automatic discovery of patterns, associations, and anomalies in data sets. Data mining requires numerically and statistically intensive queries. Our assumption is that data mining requires a specialized data management infrastructure to support the aforementioned intensive queries, but because of the sizes of data involved, this infrastructure is layered over a hierarchical storage system. In this paper, we discuss the architecture of a system which is layered for modularity, but exploits specialized lightweight services to maintain efficiency. Rather than use a full functioned database for example, we use light weight object services specialized for data mining. We propose using information repositories between layers so that components on either side of the layer can access information in the repositories to assist in making decisions about data layout, the caching and migration of data, the scheduling of queries, and related matters.

  19. Using Electronic Health Records to Build an Ophthalmologic Data Warehouse and Visualize Patients' Data.

    PubMed

    Kortüm, Karsten U; Müller, Michael; Kern, Christoph; Babenko, Alexander; Mayer, Wolfgang J; Kampik, Anselm; Kreutzer, Thomas C; Priglinger, Siegfried; Hirneiss, Christoph

    2017-06-01

    To develop a near-real-time data warehouse (DW) in an academic ophthalmologic center to gain scientific use of increasing digital data from electronic medical records (EMR) and diagnostic devices. Database development. Specific macular clinic user interfaces within the institutional hospital information system were created. Orders for imaging modalities were sent by an EMR-linked picture-archiving and communications system to the respective devices. All data of 325 767 patients since 2002 were gathered in a DW running on an SQL database. A data discovery tool was developed. An exemplary search for patients with age-related macular degeneration, performed cataract surgery, and at least 10 intravitreal (excluding bevacizumab) injections was conducted. Data related to those patients (3 142 204 diagnoses [including diagnoses from other fields of medicine], 720 721 procedures [eg, surgery], and 45 416 intravitreal injections) were stored, including 81 274 optical coherence tomography measurements. A web-based browsing tool was successfully developed for data visualization and filtering data by several linked criteria, for example, minimum number of intravitreal injections of a specific drug and visual acuity interval. The exemplary search identified 450 patients with 516 eyes meeting all criteria. A DW was successfully implemented in an ophthalmologic academic environment to support and facilitate research by using increasing EMR and measurement data. The identification of eligible patients for studies was simplified. In future, software for decision support can be developed based on the DW and its structured data. The improved classification of diseases and semiautomatic validation of data via machine learning are warranted. Copyright © 2017 Elsevier Inc. All rights reserved.

  20. Medical Information Management System

    NASA Technical Reports Server (NTRS)

    Alterescu, S.; Hipkins, K. R.; Friedman, C. A.

    1979-01-01

    On-line interactive information processing system easily and rapidly handles all aspects of data management related to patient care. General purpose system is flexible enough to be applied to other data management situations found in areas such as occupational safety data, judicial information, or personnel records.

  1. Acquisition Management for System of Systems: Affordability through Effective Portfolio Management

    DTIC Science & Technology

    2013-04-01

    the management of strategic “ portfolios of systems” in military acquisitions; this includes application of Real Options (RO) theory and metrics such...Affordability Through Effective Portfolio Management Navindran Davendralingam and Daniel DeLaurentis Purdue University Published April 1, 2013...Systems: Affordability Through Effective Portfolio Management 5a. CONTRACT NUMBER 5b. GRANT NUMBER 5c. PROGRAM ELEMENT NUMBER 6. AUTHOR(S) 5d

  2. Applying management information systems to staffing.

    PubMed

    Hanson, R L

    1982-10-01

    A management information system (MIS) is a tool for managing resources effectively. After reviewing some concepts and principles for effective data management, Hanson clearly applies the concepts to nurse staffing systems, which manage human resources. He defines a seven-step process for establishing an MIS, from defining the management objective to implementing the system. Pointing out that an MIS need not be computerized to be effective, Hanson presents a positive perspective and clarifies some often-misconceived notions about management information systems and the paper printouts they generate. In the next issue of JONA, a second article by Hanson will take a more detailed look at the variety, use, and usefulness of staffing statistics available from an MIS for staffing. These articles are based on material in a forthcoming book, Management Systems for Nursing Service Staffing, to be published by Aspen Systems Corporation, Rockville, Maryland.

  3. Oil field management system

    DOEpatents

    Fincke, James R.

    2003-09-23

    Oil field management systems and methods for managing operation of one or more wells producing a high void fraction multiphase flow. The system includes a differential pressure flow meter which samples pressure readings at various points of interest throughout the system and uses pressure differentials derived from the pressure readings to determine gas and liquid phase mass flow rates of the high void fraction multiphase flow. One or both of the gas and liquid phase mass flow rates are then compared with predetermined criteria. In the event such mass flow rates satisfy the predetermined criteria, a well control system implements a correlating adjustment action respecting the multiphase flow. In this way, various parameters regarding the high void fraction multiphase flow are used as control inputs to the well control system and thus facilitate management of well operations.

  4. Algorithms for synthesizing management solutions based on OLAP-technologies

    NASA Astrophysics Data System (ADS)

    Pishchukhin, A. M.; Akhmedyanova, G. F.

    2018-05-01

    OLAP technologies are a convenient means of analyzing large amounts of information. An attempt was made in their work to improve the synthesis of optimal management decisions. The developed algorithms allow forecasting the needs and accepted management decisions on the main types of the enterprise resources. Their advantage is the efficiency, based on the simplicity of quadratic functions and differential equations of only the first order. At the same time, the optimal redistribution of resources between different types of products from the assortment of the enterprise is carried out, and the optimal allocation of allocated resources in time. The proposed solutions can be placed on additional specially entered coordinates of the hypercube representing the data warehouse.

  5. Intelligent Integrated System Health Management

    NASA Technical Reports Server (NTRS)

    Figueroa, Fernando

    2012-01-01

    Intelligent Integrated System Health Management (ISHM) is the management of data, information, and knowledge (DIaK) with the purposeful objective of determining the health of a system (Management: storage, distribution, sharing, maintenance, processing, reasoning, and presentation). Presentation discusses: (1) ISHM Capability Development. (1a) ISHM Knowledge Model. (1b) Standards for ISHM Implementation. (1c) ISHM Domain Models (ISHM-DM's). (1d) Intelligent Sensors and Components. (2) ISHM in Systems Design, Engineering, and Integration. (3) Intelligent Control for ISHM-Enabled Systems

  6. Logistics support economy and efficiency through consolidation and automation

    NASA Technical Reports Server (NTRS)

    Savage, G. R.; Fontana, C. J.; Custer, J. D.

    1985-01-01

    An integrated logistics support system, which would provide routine access to space and be cost-competitive as an operational space transportation system, was planned and implemented to support the NSTS program launch-on-time goal of 95 percent. A decision was made to centralize the Shuttle logistics functions in a modern facility that would provide office and training space and an efficient warehouse area. In this warehouse, the emphasis is on automation of the storage and retrieval function, while utilizing state-of-the-art warehousing and inventory management technology. This consolidation, together with the automation capabilities being provided, will allow for more effective utilization of personnel and improved responsiveness. In addition, this facility will be the prime support for the fully integrated logistics support of the operations era NSTS and reduce the program's management, procurement, transportation, and supply costs in the operations era.

  7. Design of distributed systems of hydrolithosphere processes management. A synthesis of distributed management systems

    NASA Astrophysics Data System (ADS)

    Pershin, I. M.; Pervukhin, D. A.; Ilyushin, Y. V.; Afanaseva, O. V.

    2017-10-01

    The paper considers an important problem of designing distributed systems of hydrolithosphere processes management. The control actions on the hydrolithosphere processes under consideration are implemented by a set of extractive wells. The article shows the method of defining the approximation links for description of the dynamic characteristics of hydrolithosphere processes. The structure of distributed regulators, used in the management systems by the considered processes, is presented. The paper analyses the results of the synthesis of the distributed management system and the results of modelling the closed-loop control system by the parameters of the hydrolithosphere process.

  8. Management advisory memorandum on National Airspace System infrastructure management system prototype, Federal Aviation Administration

    DOT National Transportation Integrated Search

    1997-03-01

    This is our Management Advisory Memorandum on the National Airspace : System (NAS) Infrastructure Management System (NIMS) prototype : project in the Federal Aviation Administration (FAA). Our review was : initiated in response to a hotline complaint...

  9. Order Batching in Warehouses by Minimizing Total Tardiness: A Hybrid Approach of Weighted Association Rule Mining and Genetic Algorithms

    PubMed Central

    Taheri, Shahrooz; Mat Saman, Muhamad Zameri; Wong, Kuan Yew

    2013-01-01

    One of the cost-intensive issues in managing warehouses is the order picking problem which deals with the retrieval of items from their storage locations in order to meet customer requests. Many solution approaches have been proposed in order to minimize traveling distance in the process of order picking. However, in practice, customer orders have to be completed by certain due dates in order to avoid tardiness which is neglected in most of the related scientific papers. Consequently, we proposed a novel solution approach in order to minimize tardiness which consists of four phases. First of all, weighted association rule mining has been used to calculate associations between orders with respect to their due date. Next, a batching model based on binary integer programming has been formulated to maximize the associations between orders within each batch. Subsequently, the order picking phase will come up which used a Genetic Algorithm integrated with the Traveling Salesman Problem in order to identify the most suitable travel path. Finally, the Genetic Algorithm has been applied for sequencing the constructed batches in order to minimize tardiness. Illustrative examples and comparisons are presented to demonstrate the proficiency and solution quality of the proposed approach. PMID:23864823

  10. Integrated Systems Health Management for Intelligent Systems

    NASA Technical Reports Server (NTRS)

    Figueroa, Fernando; Melcher, Kevin

    2011-01-01

    The implementation of an integrated system health management (ISHM) capability is fundamentally linked to the management of data, information, and knowledge (DIaK) with the purposeful objective of determining the health of a system. Management implies storage, distribution, sharing, maintenance, processing, reasoning, and presentation. ISHM is akin to having a team of experts who are all individually and collectively observing and analyzing a complex system, and communicating effectively with each other in order to arrive at an accurate and reliable assessment of its health. In this chapter, concepts, procedures, and approaches are presented as a foundation for implementing an ISHM capability relevant to intelligent systems. The capability stresses integration of DIaK from all elements of a system, emphasizing an advance toward an on-board, autonomous capability. Both ground-based and on-board ISHM capabilities are addressed. The information presented is the result of many years of research, development, and maturation of technologies, and of prototype implementations in operational systems.

  11. Efficient Evaluation System for Learning Management Systems

    ERIC Educational Resources Information Center

    Cavus, Nadire

    2009-01-01

    A learning management system (LMS) provides the platform for web-based learning environment by enabling the management, delivery, tracking of learning, testing, communication, registration process and scheduling. There are many LMS systems on the market that can be obtained for free or through payment. It has now become an important task to choose…

  12. Knowledge-based systems for power management

    NASA Technical Reports Server (NTRS)

    Lollar, L. F.

    1992-01-01

    NASA-Marshall's Electrical Power Branch has undertaken the development of expert systems in support of further advancements in electrical power system automation. Attention is given to the features (1) of the Fault Recovery and Management Expert System, (2) a resource scheduler or Master of Automated Expert Scheduling Through Resource Orchestration, and (3) an adaptive load-priority manager, or Load Priority List Management System. The characteristics of an advisory battery manager for the Hubble Space Telescope, designated the 'nickel-hydrogen expert system', are also noted.

  13. Management Information System Project.

    ERIC Educational Resources Information Center

    Foley, Walter J.; Harr, Gordon G.

    The Management Information System (MIS) described in this report represents a plan to utilize modern management techniques to facilitate the goal of a learner-responsive school system. The MIS component is being developed to meet the need for the coordination of the resources of staff, facilities, and time with the long range planning and…

  14. Planning and Resource Management in an Intelligent Automated Power Management System

    NASA Technical Reports Server (NTRS)

    Morris, Robert A.

    1991-01-01

    Power system management is a process of guiding a power system towards the objective of continuous supply of electrical power to a set of loads. Spacecraft power system management requires planning and scheduling, since electrical power is a scarce resource in space. The automation of power system management for future spacecraft has been recognized as an important R&D goal. Several automation technologies have emerged including the use of expert systems for automating human problem solving capabilities such as rule based expert system for fault diagnosis and load scheduling. It is questionable whether current generation expert system technology is applicable for power system management in space. The objective of the ADEPTS (ADvanced Electrical Power management Techniques for Space systems) is to study new techniques for power management automation. These techniques involve integrating current expert system technology with that of parallel and distributed computing, as well as a distributed, object-oriented approach to software design. The focus of the current study is the integration of new procedures for automatically planning and scheduling loads with procedures for performing fault diagnosis and control. The objective is the concurrent execution of both sets of tasks on separate transputer processors, thus adding parallelism to the overall management process.

  15. Energy Management of Smart Distribution Systems

    NASA Astrophysics Data System (ADS)

    Ansari, Bananeh

    Electric power distribution systems interface the end-users of electricity with the power grid. Traditional distribution systems are operated in a centralized fashion with the distribution system owner or operator being the only decision maker. The management and control architecture of distribution systems needs to gradually transform to accommodate the emerging smart grid technologies, distributed energy resources, and active electricity end-users or prosumers. The content of this document concerns with developing multi-task multi-objective energy management schemes for: 1) commercial/large residential prosumers, and 2) distribution system operator of a smart distribution system. The first part of this document describes a method of distributed energy management of multiple commercial/ large residential prosumers. These prosumers not only consume electricity, but also generate electricity using their roof-top solar photovoltaics systems. When photovoltaics generation is larger than local consumption, excess electricity will be fed into the distribution system, creating a voltage rise along the feeder. Distribution system operator cannot tolerate a significant voltage rise. ES can help the prosumers manage their electricity exchanges with the distribution system such that minimal voltage fluctuation occurs. The proposed distributed energy management scheme sizes and schedules each prosumer's ES to reduce the electricity bill and mitigate voltage rise along the feeder. The second part of this document focuses on emergency energy management and resilience assessment of a distribution system. The developed emergency energy management system uses available resources and redundancy to restore the distribution system's functionality fully or partially. The success of the restoration maneuver depends on how resilient the distribution system is. Engineering resilience terminology is used to evaluate the resilience of distribution system. The proposed emergency energy

  16. Operational Management System for Regulated Water Systems

    NASA Astrophysics Data System (ADS)

    van Loenen, A.; van Dijk, M.; van Verseveld, W.; Berger, H.

    2012-04-01

    Most of the Dutch large rivers, canals and lakes are controlled by the Dutch water authorities. The main reasons concern safety, navigation and fresh water supply. Historically the separate water bodies have been controlled locally. For optimizating management of these water systems an integrated approach was required. Presented is a platform which integrates data from all control objects for monitoring and control purposes. The Operational Management System for Regulated Water Systems (IWP) is an implementation of Delft-FEWS which supports operational control of water systems and actively gives advice. One of the main characteristics of IWP is that is real-time collects, transforms and presents different types of data, which all add to the operational water management. Next to that, hydrodynamic models and intelligent decision support tools are added to support the water managers during their daily control activities. An important advantage of IWP is that it uses the Delft-FEWS framework, therefore processes like central data collection, transformations, data processing and presentation are simply configured. At all control locations the same information is readily available. The operational water management itself gains from this information, but it can also contribute to cost efficiency (no unnecessary pumping), better use of available storage and advise during (water polution) calamities.

  17. SUPERFUND SOILS DATA MANAGEMENT SYSTEM

    EPA Science Inventory

    This paper describes the Superfund Soil Data Management System (DMS), a PC-based data system being developed by the U.S. Environmental Protection Agency (EPA) in its effort to manage and evaluate treatment and performance data for contaminated soil, sludge, and debris. his system...

  18. Web-Based Evaluation System for Learning Management Systems

    ERIC Educational Resources Information Center

    Momani, Alaa

    2010-01-01

    E-learning systems have become an issue in recent years. A learning management system (LMS) is an electronic environment helps the educational society to communicate, exchange information, manage, and schedule the learning process. This study has provided a web-based evaluation system that may help the users to choose the convenient system…

  19. Configuration Management File Manager Developed for Numerical Propulsion System Simulation

    NASA Technical Reports Server (NTRS)

    Follen, Gregory J.

    1997-01-01

    One of the objectives of the High Performance Computing and Communication Project's (HPCCP) Numerical Propulsion System Simulation (NPSS) is to provide a common and consistent way to manage applications, data, and engine simulations. The NPSS Configuration Management (CM) File Manager integrated with the Common Desktop Environment (CDE) window management system provides a common look and feel for the configuration management of data, applications, and engine simulations for U.S. engine companies. In addition, CM File Manager provides tools to manage a simulation. Features include managing input files, output files, textual notes, and any other material normally associated with simulation. The CM File Manager includes a generic configuration management Application Program Interface (API) that can be adapted for the configuration management repositories of any U.S. engine company.

  20. Managing geometric information with a data base management system

    NASA Technical Reports Server (NTRS)

    Dube, R. P.

    1984-01-01

    The strategies for managing computer based geometry are described. The computer model of geometry is the basis for communication, manipulation, and analysis of shape information. The research on integrated programs for aerospace-vehicle design (IPAD) focuses on the use of data base management system (DBMS) technology to manage engineering/manufacturing data. The objectives of IPAD is to develop a computer based engineering complex which automates the storage, management, protection, and retrieval of engineering data. In particular, this facility must manage geometry information as well as associated data. The approach taken on the IPAD project to achieve this objective is discussed. Geometry management in current systems and the approach taken in the early IPAD prototypes are examined.