WorldWideScience

Sample records for building information warehouses

  1. Building a Data Warehouse.

    Science.gov (United States)

    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)

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

    Science.gov (United States)

    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

  3. Building a Data Warehouse step by step

    Directory of Open Access Journals (Sweden)

    2007-01-01

    Full Text Available Data warehouses have been developed to answer the increasing demands of quality information required by the top managers and economic analysts of organizations. Their importance in now a day business area is unanimous recognized, being the foundation for developing business intelligence systems. Data warehouses offer support for decision-making process, allowing complex analyses which cannot be properly achieved from operational systems. This paper presents the ways in which a data warehouse may be developed and the stages of building it.

  4. Integrating Brazilian health information systems in order to support the building of data warehouses

    Directory of Open Access Journals (Sweden)

    Sergio Miranda Freire

    Full Text Available AbstractIntroductionThis paper's aim is to develop a data warehouse from the integration of the files of three Brazilian health information systems concerned with the production of ambulatory and hospital procedures for cancer care, and cancer mortality. These systems do not have a unique patient identification, which makes their integration difficult even within a single system.MethodsData from the Brazilian Public Hospital Information System (SIH-SUS, the Oncology Module for the Outpatient Information System (APAC-ONCO and the Mortality Information System (SIM for the State of Rio de Janeiro, in the period from January 2000 to December 2004 were used. Each of the systems has the monthly data production compiled in dbase files (dbf. All the files pertaining to the same system were then read into a corresponding table in a MySQL Server 5.1. The SIH-SUS and APAC-ONCO tables were linked internally and with one another through record linkage methods. The APAC-ONCO table was linked to the SIM table. Afterwards a data warehouse was built using Pentaho and the MySQL database management system.ResultsThe sensitivities and specificities of the linkage processes were above 95% and close to 100% respectively. The data warehouse provided several analytical views that are accessed through the Pentaho Schema Workbench.ConclusionThis study presented a proposal for the integration of Brazilian Health Systems to support the building of data warehouses and provide information beyond those currently available with the individual systems.

  5. Building a data warehouse with examples in SQL server

    CERN Document Server

    Rainardi, Vincent

    2008-01-01

    ""Building a Data Warehouse: With Examples in SQL Server"" describes how to build a data warehouse completely from scratch and shows practical examples on how to do it. Author Rainardi also describes some practical issues that developers are likely to encounter in their first data warehousing project, along with solutions and advice.

  6. Information Architecture: The Data Warehouse Foundation.

    Science.gov (United States)

    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…

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

    Science.gov (United States)

    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)

  8. Database Vs Data Warehouse

    Directory of Open Access Journals (Sweden)

    2007-01-01

    Full Text Available Data warehouse technology includes a set of concepts and methods that offer the users useful information for decision making. The necessity to build a data warehouse arises from the necessity to improve the quality of information in the organization. The date proceeding from different sources, having a variety of forms - both structured and unstructured, are filtered according to business rules and are integrated in a single large data collection. Using informatics solutions, managers have understood that data stored in operational systems - including databases, are an informational gold mine that must be exploited. Data warehouses have been developed to answer the increasing demands for complex analysis, which could not be properly achieved with operational databases. The present paper emphasizes some of the criteria that information application developers can use in order to choose between a database solution or a data warehouse one.

  9. Warehouses information system design and development

    Science.gov (United States)

    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.

  10. Building the Readiness Data Warehouse

    National Research Council Canada - National Science Library

    Tysor, Sue

    2000-01-01

    .... This is the role of the data warehouse. The data warehouse will deliver business intelligence based on operational data, decision support data and external data to all business units in the organization...

  11. Information Support of Processes in Warehouse Logistics

    Directory of Open Access Journals (Sweden)

    Gordei Kirill

    2013-11-01

    Full Text Available In the conditions of globalization and the world economic communications, the role of information support of business processes increases in various branches and fields of activity. There is not an exception for the warehouse activity. Such information support is realized in warehouse logistic systems. In relation to territorial administratively education, the warehouse logistic system gets a format of difficult social and economic structure which controls the economic streams covering the intermediary, trade and transport organizations and the enterprises of other branches and spheres. Spatial movement of inventory items makes new demands to participants of merchandising. Warehousing (in the meaning – storage – is one of the operations entering into logistic activity, on the organization of a material stream, as a requirement. Therefore, warehousing as "management of spatial movement of stocks" – is justified. Warehousing, in such understanding, tries to get rid of the perception as to containing stocks – a business expensive. This aspiration finds reflection in the logistic systems working by the principle: "just in time", "economical production" and others. Therefore, the role of warehouses as places of storage is transformed to understanding of warehousing as an innovative logistic system.

  12. An efficiency improvement in warehouse operation using simulation analysis

    Science.gov (United States)

    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.

  13. Perancangan Data Warehouse Nilai Mahasiswa Dengan Kimball Nine-Step Methodology

    Directory of Open Access Journals (Sweden)

    Ganda Wijaya

    2017-04-01

    Abstract Student grades has many components that can be analyzed to support decision making. Based on this, the authors conducted a study of student grades. The study was conducted on a database that is in the Bureau of Academic and Student Affairs Administration Bina Sarana Informatika (BAAK BSI. The focus of this research is "How to model a data warehouse that can meet the management needs of the data value of students as supporters of evaluation, planning and decision making?". Data warehouse grades students need to be made in order to obtain the information, reports, and can perform multi-dimensional analysis, which in turn can assist management in making policy. Development of the system is done by using System Development Life Cycle (SDLC with Waterfall approach. While the design of the data warehouse using a nine-step methodology kimball. Results obtained in the form of a star schema and data warehouse value. Data warehouses can provide a summary of information that is fast, accurate and continuous so as to assist management in making policies for the future. In general, the benefits of this research are as additional reference in building a data warehouse using a nine-step methodology kimball.   Keywords: Data Warehouse, Kimball Nine-Step Methodology.

  14. Development of a clinical data warehouse from an intensive care clinical information system.

    Science.gov (United States)

    de Mul, Marleen; Alons, Peter; van der Velde, Peter; Konings, Ilse; Bakker, Jan; Hazelzet, Jan

    2012-01-01

    There are relatively few institutions that have developed clinical data warehouses, containing patient data from the point of care. Because of the various care practices, data types and definitions, and the perceived incompleteness of clinical information systems, the development of a clinical data warehouse is a challenge. In order to deal with managerial and clinical information needs, as well as educational and research aims that are important in the setting of a university hospital, Erasmus Medical Center Rotterdam, The Netherlands, developed a data warehouse incrementally. In this paper we report on the in-house development of an integral part of the data warehouse specifically for the intensive care units (ICU-DWH). It was modeled using Atos Origin Metadata Frame method. The paper describes the methodology, the development process and the content of the ICU-DWH, and discusses the need for (clinical) data warehouses in intensive care. Copyright © 2010 Elsevier Ireland Ltd. All rights reserved.

  15. Creation of Warehouse Models for Different Layout Designs

    OpenAIRE

    Köhler, Mirko; Lukić, Ivica; Nenadić, Krešimir

    2014-01-01

    Warehouse is one of the most important components in logistics of the supply chain network. Efficiency of warehouse operations is influenced by many different factors. One of the key factors is the racks layout configuration. A warehouse with good racks layout may significantly reduce the cost of warehouse servicing. The objective of this paper is to give a scheme for building warehouses models with one-block and two-block layout for future research in warehouse optimization. An algorithm ...

  16. Warehouse Sanitation Workshop Handbook.

    Science.gov (United States)

    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…

  17. Handling Imprecision in Qualitative Data Warehouse: Urban Building Sites Annoyance Analysis Use Case

    Science.gov (United States)

    Amanzougarene, F.; Chachoua, M.; Zeitouni, K.

    2013-05-01

    Data warehouse means a decision support database allowing integration, organization, historisation, and management of data from heterogeneous sources, with the aim of exploiting them for decision-making. Data warehouses are essentially based on multidimensional model. This model organizes data into facts (subjects of analysis) and dimensions (axes of analysis). In classical data warehouses, facts are composed of numerical measures and dimensions which characterize it. Dimensions are organized into hierarchical levels of detail. Based on the navigation and aggregation mechanisms offered by OLAP (On-Line Analytical Processing) tools, facts can be analyzed according to the desired level of detail. In real world applications, facts are not always numerical, and can be of qualitative nature. In addition, sometimes a human expert or learned model such as a decision tree provides a qualitative evaluation of phenomenon based on its different parameters i.e. dimensions. Conventional data warehouses are thus not adapted to qualitative reasoning and have not the ability to deal with qualitative data. In previous work, we have proposed an original approach of qualitative data warehouse modeling, which permits integrating qualitative measures. Based on computing with words methodology, we have extended classical multidimensional data model to allow the aggregation and analysis of qualitative data in OLAP environment. We have implemented this model in a Spatial Decision Support System to help managers of public spaces to reduce annoyances and improve the quality of life of the citizens. In this paper, we will focus our study on the representation and management of imprecision in annoyance analysis process. The main objective of this process consists in determining the least harmful scenario of urban building sites, particularly in dense urban environments.

  18. Conceptual Data Warehouse Structures

    DEFF Research Database (Denmark)

    Bækgaard, Lars

    1998-01-01

    changing information needs. We show how the event-entity-relationship model (EVER) can be used for schema design and query formulation in data warehouses. Our work is based on a layered data warehouse architecture in which a global data warehouse is used for flexible long-term organization and storage...... of all warehouse data whereas local data warehouses are used for efficient query formulation and answering. In order to support flexible modeling of global warehouses we use a flexible version of EVER for global schema design. In order to support efficient query formulation in local data warehouses we...

  19. 78 FR 65300 - Notice of Availability (NOA) for General Purpose Warehouse and Information Technology Center...

    Science.gov (United States)

    2013-10-31

    ... (NOA) for General Purpose Warehouse and Information Technology Center Construction (GPW/IT)--Tracy Site... proposed action to construct a General Purpose Warehouse and Information Technology Center at Defense..., Suite 02G09, Alexandria, VA 22350- 3100. FOR FURTHER INFORMATION CONTACT: Ann Engelberger at (703) 767...

  20. A framework for information warehouse development processes

    OpenAIRE

    Holten, Roland

    1999-01-01

    Since the terms Data Warehouse and On-Line Analytical Processing were proposed by Inmon and Codd, Codd, Sally respectively the traditional ideas of creating information systems in support of management¿s decision became interesting again in theory and practice. Today information warehousing is a strategic market for any data base systems vendor. Nevertheless the theoretical discussions of this topic go back to the early years of the 20th century as far as management science and accounting the...

  1. Web-enabled Data Warehouse and Data Webhouse

    Directory of Open Access Journals (Sweden)

    Cerasela PIRVU

    2008-01-01

    Full Text Available In this paper, our objectives are to understanding what data warehouse means examine the reasons for doing so, appreciate the implications of the convergence of Web technologies and those of the data warehouse and examine the steps for building a Web-enabled data warehouse. The web revolution has propelled the data warehouse out onto the main stage, because in many situations the data warehouse must be the engine that controls or analysis the web experience. In order to step up to this new responsibility, the data warehouse must adjust. The nature of the data warehouse needs to be somewhat different. As a result, our data warehouses are becoming data webhouses. The data warehouse is becoming the infrastructure that supports customer relationship management (CRM. And the data warehouse is being asked to make the customer clickstream available for analysis. This rebirth of data warehousing architecture is called the data webhouse.

  2. Intelligent environmental data warehouse

    International Nuclear Information System (INIS)

    Ekechukwu, B.

    1998-01-01

    Making quick and effective decisions in environment management are based on multiple and complex parameters, a data warehouse is a powerful tool for the over all management of massive environmental information. Selecting the right data from a warehouse is an important factor consideration for end-users. This paper proposed an intelligent environmental data warehouse system. It consists of data warehouse to feed an environmental researchers and managers with desire environmental information needs to their research studies and decision in form of geometric and attribute data for study area, and a metadata for the other sources of environmental information. In addition, the proposed intelligent search engine works according to a set of rule, which enables the system to be aware of the environmental data wanted by the end-user. The system development process passes through four stages. These are data preparation, warehouse development, intelligent engine development and internet platform system development. (author)

  3. Envirofacts Data Warehouse

    Science.gov (United States)

    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.

  4. Data Warehouse Discovery Framework: The Foundation

    Science.gov (United States)

    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.

  5. Harvesting Information from a Library Data Warehouse

    Directory of Open Access Journals (Sweden)

    Siew-Phek T. Su

    2017-09-01

    Full Text Available Data warehousing technology has been defined by John Ladley as "a set of methods, techniques, and tools that are leveraged together and used to produce a vehicle that delivers data to end users on an integrated platform." (1 This concept h s been applied increasingly by industries worldwide to develop data warehouses for decision support and knowledge discovery. In the academic sector, several universities have developed data warehouses containing the universities' financial, payroll, personnel, budget, and student data. (2 These data warehouses across all industries and academia have met with varying degrees of success. Data warehousing technology and its related issues have been widely discussed and published. (3 Little has been done, however, on the application of this cutting edge technology in the library environment using library data.

  6. Computer modeling of commercial refrigerated warehouse facilities

    International Nuclear Information System (INIS)

    Nicoulin, C.V.; Jacobs, P.C.; Tory, S.

    1997-01-01

    The use of computer models to simulate the energy performance of large commercial refrigeration systems typically found in food processing facilities is an area of engineering practice that has seen little development to date. Current techniques employed in predicting energy consumption by such systems have focused on temperature bin methods of analysis. Existing simulation tools such as DOE2 are designed to model commercial buildings and grocery store refrigeration systems. The HVAC and Refrigeration system performance models in these simulations tools model equipment common to commercial buildings and groceries, and respond to energy-efficiency measures likely to be applied to these building types. The applicability of traditional building energy simulation tools to model refrigerated warehouse performance and analyze energy-saving options is limited. The paper will present the results of modeling work undertaken to evaluate energy savings resulting from incentives offered by a California utility to its Refrigerated Warehouse Program participants. The TRNSYS general-purpose transient simulation model was used to predict facility performance and estimate program savings. Custom TRNSYS components were developed to address modeling issues specific to refrigerated warehouse systems, including warehouse loading door infiltration calculations, an evaporator model, single-state and multi-stage compressor models, evaporative condenser models, and defrost energy requirements. The main focus of the paper will be on the modeling approach. The results from the computer simulations, along with overall program impact evaluation results, will also be presented

  7. Outpatient health care statistics data warehouse--implementation.

    Science.gov (United States)

    Zilli, D

    1999-01-01

    Data warehouse implementation is assumed to be a very knowledge-demanding, expensive and long-lasting process. As such it requires senior management sponsorship, involvement of experts, a big budget and probably years of development time. Presented Outpatient Health Care Statistics Data Warehouse implementation research provides ample evidence against the infallibility of the above statements. New, inexpensive, but powerful technology, which provides outstanding platform for On-Line Analytical Processing (OLAP), has emerged recently. Presumably, it will be the basis for the estimated future growth of data warehouse market, both in the medical and in other business fields. Methods and tools for building, maintaining and exploiting data warehouses are also briefly discussed in the paper.

  8. Metadata to Support Data Warehouse Evolution

    Science.gov (United States)

    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.

  9. The design and application of data warehouse during modern enterprises environment

    Science.gov (United States)

    Zhou, Lijuan; Liu, Chi; Wang, Chunying

    2006-04-01

    The interest in analyzing data has grown tremendously in recent years. To analyze data, a multitude of technologies is need, namely technologies from the fields of Data Warehouse, Data Mining, On-line Analytical Processing (OLAP). This paper proposes the system structure model of the data warehouse during modern enterprises environment according to the information demand for enterprises and the actual demand of user's, and also analyses the benefit of this kind of model in practical application, and provides the setting-up course of the data warehouse model. At the same time it has proposes the total design plans of the data warehouses of modern enterprises. The data warehouse that we build in practical application can be offered: high performance of queries; efficiency of the data; independent characteristic of logical and physical data. In addition, A Data Warehouse contains lots of materialized views over the data provided by the distributed heterogeneous databases for the purpose of efficiently implementing decision-support, OLAP queries or data mining. One of the most important decisions in designing a data warehouse is selection of right views to be materialized. In this paper, we also have designed algorithms for selecting a set of views to be materialized in a data warehouse.First, we give the algorithms for selecting materialized views. Then we use experiments do demonstrate the power of our approach. The results show the proposed algorithm delivers an optimal solution. Finally, we discuss the advantage and shortcoming of our approach and future work.

  10. Evaluating a healthcare data warehouse for cancer diseases

    OpenAIRE

    Sheta, Dr. Osama E.; Eldeen, Ahmed Nour

    2013-01-01

    This paper presents the evaluation of the architecture of healthcare data warehouse specific to cancer diseases. This data warehouse containing relevant cancer medical information and patient data. The data warehouse provides the source for all current and historical health data to help executive manager and doctors to improve the decision making process for cancer patients. The evaluation model based on Bill Inmon's definition of data warehouse is proposed to evaluate the Cancer data warehouse.

  11. A novel approach for intelligent distribution of data warehouses

    Directory of Open Access Journals (Sweden)

    Abhay Kumar Agarwal

    2016-07-01

    Full Text Available With the continuous growth in the amount of data, data storage systems have come a long way from flat files systems to RDBMS, Data Warehousing (DW and Distributed Data Warehousing systems. This paper proposes a new distributed data warehouse model. The model is built on a novel approach, for the intelligent distribution of data warehouse. Overall the model is named as Intelligent and Distributed Data Warehouse (IDDW. The proposed model has N-levels and is based on top-down hierarchical design approach of building distributed data warehouse. The building process of IDDW starts with the identification of various locations where DW may be built. Initially, a single location is considered at top-most level of IDDW where DW is built. Thereafter, DW at any other location of any level may be built. A method, to transfer concerned data from any upper level DW to concerned lower level DW, is also presented in the paper. The paper also presents IDDW modeling, its architecture based on modeling, the internal organization of IDDW via which all the operations within IDDW are performed.

  12. Energy Finance Data Warehouse Manual

    Energy Technology Data Exchange (ETDEWEB)

    Lee, Sangkeun [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Chinthavali, Supriya [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Shankar, Mallikarjun [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Zeng, Claire [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Hendrickson, Stephen [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)

    2016-11-30

    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 has 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.

  13. University Accreditation using Data Warehouse

    Science.gov (United States)

    Sinaga, A. S.; Girsang, A. S.

    2017-01-01

    The accreditation aims assuring the quality the quality of the institution education. The institution needs the comprehensive documents for giving the information accurately before reviewed by assessor. Therefore, academic documents should be stored effectively to ease fulfilling the requirement of accreditation. However, the data are generally derived from various sources, various types, not structured and dispersed. This paper proposes designing a data warehouse to integrate all various data to prepare a good academic document for accreditation in a university. The data warehouse is built using nine steps that was introduced by Kimball. This method is applied to produce a data warehouse based on the accreditation assessment focusing in academic part. The data warehouse shows that it can analyse the data to prepare the accreditation assessment documents.

  14. Envirofacts Data Warehouse

    Data.gov (United States)

    U.S. Environmental Protection Agency — The Envirofacts Data Warehouse contains information from select EPA Environmental program office databases and provides access about environmental activities that...

  15. Structuring warehouse management : Exploring the fit between warehouse characteristics and warehouse planning and control structure, and its effect on warehouse performance

    NARCIS (Netherlands)

    N. Faber (Nynke)

    2015-01-01

    markdownabstractThis dissertation studies the management processes that plan, control, and optimize warehouse operations. The inventory in warehouses decouples supply from demand. As such, economies of scale can be achieved in production, purchasing, and transport. As warehouses become more and more

  16. Warehouse Plan for the Multi-Canister Overpacks (MC0) and Baskets

    International Nuclear Information System (INIS)

    MARTIN, M.K.

    2000-01-01

    The Multi-Canister Overpacks (MCO) will contain spent nuclear fuel (SNF) removed from the K East and West Basins. The SNF will be placed in fuel storage baskets that will be stacked inside the MCOs. Approximately 400 MCOs and 21 70 baskets will be fabricated for this purpose. These MCOs, loaded with SNF, will be placed in interim storage in the Canister Storage Building (CSB) located in the 200 Area of the Hanford Site. The MCOs consist of different components/sub-assemblies that will be manufactured by one or more vendors. All component/sub-assemblies will be shipped to the Hanford Site Central Stores Warehouse, 2355 Stevens Drive, Building 1163 in the 1100 Area, for inspection and storage until these components are required at the CSB and K Basins. The MCO fuel storage baskets will be manufactured in the MCO basket fabrication shop located in Building 328 of the Hanford Site 300 Area. The MCO baskets will be inspected at the fabrication shop before shipment to the Central Stores Warehouse for storage. The MCO components and baskets will be stored as received from the manufacturer with specified protective coatings, wrappings, and packaging intact to maintain mechanical integrity of the components and to prevent corrosion. The components and baskets will be shipped as needed from the warehouse to the CSB and K Basins. This warehouse plan includes the requirements for receipt of MCO components and baskets from the manufacturers and storage at the Hanford Site Central Stores Warehouse. Transportation of the MCO components and baskets from the warehouse, unwrapping, and assembly of the MCOs are the responsibility of SNF Operations and are not included in this plan

  17. Work prioritization by using data warehouse solution; Priorizacao de obras usando solucao de data warehouse

    Energy Technology Data Exchange (ETDEWEB)

    Grupelli Junior, Fernando Antonio; Azoni, Edivar Garcia [Companhia Paranaense de Energia (COPEL), Curitiba, PR (Brazil)

    2000-07-01

    This work proposes the utilization of data warehouse technology for helping of gathering adequate and reliable information, and allows the calculation of cost-benefits ratios of work in the distribution primary network. The paper also intends to suggest a better integration and the utilization of the possibility of a data warehouse and his future integration with a geo processing system.

  18. Establishment of the Integrated Plant Data Warehouse

    International Nuclear Information System (INIS)

    Oota, Yoshimi; Yoshinaga, Toshiaki

    1999-01-01

    This paper presents 'The Establishment of the Integrated Plant Data Warehouse and Verification Tests on Inter-corporate Electronic Commerce based on the Data Warehouse (PDWH)', one of the 'Shared Infrastructure for the Electronic Commerce Consolidation Project', promoted by the Ministry of International Trade and Industry (MITI) through the Information-Technology Promotion Agency (IPA), Japan. A study group called Japan Plant EC (PlantEC) was organized to perform relevant activities. One of the main activities of plantEC involves the construction of the Integrated (including manufacturers, engineering companies, plant construction companies, and machinery and parts manufacturers, etc.) Data Warehouse which is an essential part of the infrastructure necessary for a system to share information on industrial life cycle ranging from planning/designing to operation/maintenance. Another activity is the utilization of this warehouse for the purpose of conducting verification tests to prove its usefulness. Through these verification tests, PlantEC will endeavor to establish a warehouse with standardized data which can be used for the infrastructure of EC in the process plant industry. (author)

  19. Establishment of the Integrated Plant Data Warehouse

    Energy Technology Data Exchange (ETDEWEB)

    Oota, Yoshimi; Yoshinaga, Toshiaki [Hitachi Works, Hitachi Ltd., hitachi, Ibaraki (Japan)

    1999-07-01

    This paper presents 'The Establishment of the Integrated Plant Data Warehouse and Verification Tests on Inter-corporate Electronic Commerce based on the Data Warehouse (PDWH)', one of the 'Shared Infrastructure for the Electronic Commerce Consolidation Project', promoted by the Ministry of International Trade and Industry (MITI) through the Information-Technology Promotion Agency (IPA), Japan. A study group called Japan Plant EC (PlantEC) was organized to perform relevant activities. One of the main activities of plantEC involves the construction of the Integrated (including manufacturers, engineering companies, plant construction companies, and machinery and parts manufacturers, etc.) Data Warehouse which is an essential part of the infrastructure necessary for a system to share information on industrial life cycle ranging from planning/designing to operation/maintenance. Another activity is the utilization of this warehouse for the purpose of conducting verification tests to prove its usefulness. Through these verification tests, PlantEC will endeavor to establish a warehouse with standardized data which can be used for the infrastructure of EC in the process plant industry. (author)

  20. Electronic warehouse receipts registry as a step from paper to electronic warehouse receipts

    Directory of Open Access Journals (Sweden)

    Kovačević Vlado

    2016-01-01

    Full Text Available The aim of this paper is to determine the economic viability of the electronic warehouse receipt registry introduction, as a step toward electronic warehouse receipts. Both forms of warehouse receipt paper and electronic exist in practice, but paper warehouse receipts are more widespread. In this paper, the dematerialization process is analyzed in two steps. The first step is the dematerialization of warehouse receipt registry, with warehouse receipts still in paper form. The second step is the introduction of electronic warehouse receipts themselves. Dematerialization of warehouse receipts is more complex than that for financial securities, because of the individual characteristics of each warehouse receipt. As a consequence, electronic warehouse receipts are in place for only to a handful of commodities, namely cotton and a few grains. Nevertheless, the movement towards the electronic warehouse receipt, which began several decades ago with financial securities, is now taking hold in the agricultural sector. In this paper is analyzed Serbian electronic registry, since the Serbia is first country in EU with electronic warehouse receipts registry donated by FAO. Performed analysis shows the considerable impact of electronic warehouse receipts registry establishment on enhancing the security of the system of public warehouses, and on advancing the trade with warehouse receipt.

  1. The visit-data warehouse: enabling novel secondary use of health information exchange data.

    Science.gov (United States)

    Fleischman, William; Lowry, Tina; Shapiro, Jason

    2014-01-01

    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. 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. 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 case management intervention, and (4) improving an existing quality improvement program

  2. Konsolidasi Data Warehouse untuk Aplikasi Business Intelligence

    Directory of Open Access Journals (Sweden)

    Rudy Rudy

    2012-12-01

    Full Text Available As the business competition is getting strong, corporate leaders need complete data that as a basis for determining future business strategies. Similarly with management of company "A", a pharmaceutical company which has three distribution companies. Each distribution company already has a data warehouse to generate reports for each of them. For business operational and corporate strategies, chairman PT "A" requires an integrated report, so analysis of data owned by the three distribution companies can be done in a full reportto answer the problems faced by the managemet. Thus, data warehouse consilidation can be used as a solution for company "A". Methodology starts with analysis of information needs to be displayed on the application ofbusiness intelligence, data warehouse consolidation, ETL (extract, transform and load, data warehousing, OLAP and Dashboard. Using data warehouse consolidation, information access by management of company "A" can be done in a single presentation, which can display data comparison between the three distribution companies.

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

    Science.gov (United States)

    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.

  4. Multidimensi Pada Data Warehouse Dengan Menggunakan Rumus Kombinasi

    OpenAIRE

    Hendric, Spits Warnars Harco Leslie

    2006-01-01

    Multidimensional in data warehouse is a compulsion and become the most important for information delivery, without multidimensional data warehouse is incomplete. Multidimensional give the able to analyze business measurement in many different ways. Multidimensional is also synonymous with online analytical processing (OLAP).

  5. BioWarehouse: a bioinformatics database warehouse toolkit.

    Science.gov (United States)

    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.

  6. Automation in Warehouse Development

    CERN Document Server

    Verriet, Jacques

    2012-01-01

    The warehouses of the future will come in a variety of forms, but with a few common ingredients. Firstly, human operational handling of items in warehouses is increasingly being replaced by automated item handling. Extended warehouse automation counteracts the scarcity of human operators and supports the quality of picking processes. Secondly, the development of models to simulate and analyse warehouse designs and their components facilitates the challenging task of developing warehouses that take into account each customer’s individual requirements and logistic processes. Automation in Warehouse Development addresses both types of automation from the innovative perspective of applied science. In particular, it describes the outcomes of the Falcon project, a joint endeavour by a consortium of industrial and academic partners. The results include a model-based approach to automate warehouse control design, analysis models for warehouse design, concepts for robotic item handling and computer vision, and auton...

  7. Warehouse Logistics

    OpenAIRE

    Panibratetc, Anastasiia

    2015-01-01

    This research is a review of warehouse logistics on the example of Kannustalo Oy, located in Kannus, Western region of Finland. Kannustalo is an international company of designing, manufacturing and assembling block and turn-key houses. The research subject is logistics process in warehouse system of industrial company. In my work I discussed about theoretical aspect of logistics, logistic functions and processes. Later I considered warehouse as a part of logistics system and provided inf...

  8. Configurable Web Warehouses construction through BPM Systems

    Directory of Open Access Journals (Sweden)

    Andrea Delgado

    2016-08-01

    Full Text Available The process of building Data Warehouses (DW is well known with well defined stages but at the same time, mostly carried out manually by IT people in conjunction with business people. Web Warehouses (WW are DW whose data sources are taken from the web. We define a flexible WW, which can be configured accordingly to different domains, through the selection of the web sources and the definition of data processing characteristics. A Business Process Management (BPM System allows modeling and executing Business Processes (BPs providing support for the automation of processes. To support the process of building flexible WW we propose a two BPs level: a configuration process to support the selection of web sources and the definition of schemas and mappings, and a feeding process which takes the defined configuration and loads the data into the WW. In this paper we present a proof of concept of both processes, with focus on the configuration process and the defined data.

  9. Análisis de rendimiento académico estudiantil usando data warehouse y redes neuronales Analysis of students' academic performance using data warehouse and neural networks

    Directory of Open Access Journals (Sweden)

    Carolina Zambrano Matamala

    2011-12-01

    Full Text Available Cada día las organizaciones tienen más información porque sus sistemas producen una gran cantidad de operaciones diarias que se almacenan en bases de datos transaccionales. Con el fin de analizar esta información histórica, una alternativa interesante es implementar un Data Warehouse. Por otro lado, los Data Warehouse no son capaces de realizar un análisis predictivo por sí mismos, pero las técnicas de inteligencia de máquinas se pueden utilizar para clasificar, agrupar y predecir en base a información histórica con el fin de mejorar la calidad del análisis. En este trabajo se describe una arquitectura de Data Warehouse con el fin de realizar un análisis del desempeño académico de los estudiantes. El Data Warehouse es utilizado como entrada de una arquitectura de red neuronal con tal de analizar la información histórica y de tendencia en el tiempo. Los resultados muestran la viabilidad de utilizar un Data Warehouse para el análisis de rendimiento académico y la posibilidad de predecir el número de asignaturas aprobadas por los estudiantes usando solamente su propia información histórica.Every day organizations have more information because their systems produce a large amount of daily operations which are stored in transactional databases. In order to analyze this historical information, an interesting alternative is to implement a Data Warehouse. In the other hand, Data Warehouses are not able to perform predictive analysis for themselves, but machine learning techniques can be used to classify, grouping and predict historical information in order to improve the quality of analysis. This paper depicts architecture of a Data Warehouse useful to perform an analysis of students' academic performance. The Data Warehouse is used as input of a Neural Network in order to analyze historical information and forecast. The results show the viability of using Data Warehouse for academic performance analysis and the feasibility of

  10. BioWarehouse: a bioinformatics database warehouse toolkit

    Directory of Open Access Journals (Sweden)

    Stringer-Calvert David WJ

    2006-03-01

    Full Text Available Abstract 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

  11. Gossip Management at Universities Using Big Data Warehouse Model Integrated with a Decision Support System

    Directory of Open Access Journals (Sweden)

    Pelin Vardarlier

    2016-01-01

    Full Text Available Big Data has recently been used for many purposes like medicine, marketing and sports. It has helped improve management decisions. However, for almost each case a unique data warehouse should be built to benefit from the merits of data mining and Big Data. Hence, each time we start from scratch to form and build a Big Data Warehouse. In this study, we propose a Big Data Warehouse and a model for universities to be used for information management, to be more specific gossip management. The overall model is a decision support system that may help university administraitons when they are making decisions and also provide them with information or gossips being circulated among students and staff. In the model, unsupervised machine learning algorithms have been employed. A prototype of the proposed system has also been presented in the study. User generated data has been collected from students in order to learn gossips and students’ problems related to school, classes, staff and instructors. The findings and results of the pilot study suggest that social media messages among students may give important clues for the happenings at school and this information may be used for management purposes.The model may be developed and implemented by not only universities but also some other organisations.

  12. Reliability in Warehouse-Scale Computing: Why Low Latency Matters

    DEFF Research Database (Denmark)

    Nannarelli, Alberto

    2015-01-01

    , the limiting factor of these warehouse-scale data centers is the power dissipation. Power is dissipated not only in the computation itself, but also in heat removal (fans, air conditioning, etc.) to keep the temperature of the devices within the operating ranges. The need to keep the temperature low within......Warehouse sized buildings are nowadays hosting several types of large computing systems: from supercomputers to large clusters of servers to provide the infrastructure to the cloud. Although the main target, especially for high-performance computing, is still to achieve high throughput...

  13. Development of a medical informatics data warehouse.

    Science.gov (United States)

    Wu, Cai

    2006-01-01

    This project built a medical informatics data warehouse (MedInfo DDW) in an Oracle database to analyze medical information which has been collected through Baylor Family Medicine Clinic (FCM) Logician application. The MedInfo DDW used Star Schema with dimensional model, FCM database as operational data store (ODS); the data from on-line transaction processing (OLTP) were extracted and transferred to a knowledge based data warehouse through SQLLoad, and the patient information was analyzed by using on-line analytic processing (OLAP) in Crystal Report.

  14. Protecting privacy in a clinical data warehouse.

    Science.gov (United States)

    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.

  15. Data Warehouse for support to the electric energy commercialization; Data Warehouse para apoio a comercializacao de energia eletrica

    Energy Technology Data Exchange (ETDEWEB)

    Lanzotti, Carla R.; Correia, Paulo B. [Universidade Estadual de Campinas (UNICAMP), SP (Brazil). Faculdade de Engenharia Mecanica]. E-mails: clanzotti@yahoo.com; pcorreia@fem.unicamp.br

    2006-07-01

    This paper specifies data base using a data warehouse containing the energy market, the electric system, and the economy information allowing the visualization and analysis of the data through tables and dynamic charts. This data warehouse corresponds to the module 'Information base from Platform helping the electric power commercialization'. The platform is a computer program viewing to help the interested agents in commercializing energy and is formed by three modules as follows: Information Base, Contracting Strategies and Contracting Process. It is expected that the use os these data base, joint to Platform establishes positive conditions to agents from the interested in electric energy commercialization.

  16. Automatic generation of warehouse mediators using an ontology engine

    Energy Technology Data Exchange (ETDEWEB)

    Critchlow, T., LLNL

    1998-04-01

    Data warehouses created for dynamic scientific environments, such as genetics, face significant challenges to their long-term feasibility One of the most significant of these is the high frequency of schema evolution resulting from both technological advances and scientific insight Failure to quickly incorporate these modifications will quickly render the warehouse obsolete, yet each evolution requires significant effort to ensure the changes are correctly propagated DataFoundry utilizes a mediated warehouse architecture with an ontology infrastructure to reduce the maintenance acquirements of a warehouse. Among the things, the ontology is used as an information source for automatically generating mediators, the methods that transfer data between the data sources and the warehouse The identification, definition and representation of the metadata required to perform this task is a primary contribution of this work.

  17. Analisis Dan Perancangan Data Warehouse Pada PT Gajah Tunggal Prakarsa

    Directory of Open Access Journals (Sweden)

    Choirul Huda

    2010-12-01

    Full Text Available The purpose of this helpful in making decisions more quickly and precisely. Research methodology includes analysis study was to analyze the data base support in helping decisions making, identifying needs and designing a data warehouse. With the support of data warehouse, company leaders can be more of current systems, library research, designing a data warehouse using star schema. The result of this research is the availability of a data warehouse that can generate information quickly and precisely, thus helping the company in making decisions. The conclusion of this research is the application of data warehouse can be a media aide related parties on PT. Gajah Tunggal initiative in decision making. 

  18. Design Criteria in Revitalizing Old Warehouse District on the Kalimas Riverbank Area of Surabaya City

    Directory of Open Access Journals (Sweden)

    Endang Titi Sunarti Darjosanjoto

    2015-09-01

    Full Text Available Neglected warehouse buildings along the Kalimas River have created a poor urban façade in terms of visual quality. However the city government is planning to encourage tourism activities that take advantage of Kalimas River and its surrounding environment. If there is no good plan in accordance with the concept of local identity for old city of Surabaya, it will reduce it as a tourist attraction. In reference to the issue above, design criteria needs to be compiled for revitalizing the old warehouse district, which is expected to revive the identity of this district and be able to support the city’s tourism. This study was conducted by recording field observations, and the data was analyzed using the character appraisal method. The character appraisal analysis method is presented in the form of street picture data, which is divided into determined segments. The results show that there are five components including place attachment, sustainable urban design, green open space design, ecological riverfront design, and activity support that should be considered in the revitalization of the warehouse district. Those components are divided into two parts: building and open space at the riverbank. There are 13 design criteria for building at the riverbank, while there are 14 design criteria for open space at the riverbank. These design criteria can enrich the warehouse district’s revitalization by improving the visual quality of the urban environment.Keywords: design criteria; warehouse district; riverbank; Surabaya; revitalization.

  19. Warehouse Order-Picking Process. Review

    Directory of Open Access Journals (Sweden)

    E. V. Korobkov

    2015-01-01

    Full Text Available This article describes basic warehousing activities, namely: movement, information storage and transfer, as well as connections between typical warehouse operations (reception, transfer, assigning storage position and put-away, order-picking, hoarding and sorting, cross-docking, shipping. It presents a classification of the warehouse order-picking systems in terms of manual labor on offer as well as external (marketing channels, consumer’s demand structure, supplier’s replenishment structure and inventory level, total production demand, economic situation and internal (mechanization level, information accessibility, warehouse dimensionality, method of dispatch for shipping, zoning, batching, storage assignment method, routing method factors affecting the designing systems complexity. Basic optimization considerations are described. There is a literature review on the following sub-problems of planning and control of orderpicking processes.A layout design problem has been taken in account at two levels — external (facility layout problem and internal (aisle configuration problem. For a problem of distributing goods or stock keeping units the following methods are emphasized: random, nearest open storage position, and dedicated (COI-based, frequency-based distribution, as well as class-based and familygrouped (complimentary- and contact-based one. Batching problem can be solved by two main methods, i.e. proximity order batching (seed and saving algorithms and time-window order batching. There are two strategies for a zoning problem: progressive and synchronized, and also a special case of zoning — bucket brigades method. Hoarding/sorting problem is briefly reviewed. Order-picking routing problem will be thoroughly described in the next article of the cycle “Warehouse order-picking process”.

  20. THE DEVELOPMENT OF THE APPLICATION OF A DATA WAREHOUSE AT PT JKL

    Directory of Open Access Journals (Sweden)

    Choirul Huda

    2012-05-01

    Full Text Available One rapidly evolving technology today is information technology, which can help decision-making in an organization or a company. The data warehouse is one form of information technology that supports those needs, as one of the right solutions for companies in decision-making. The objective of this research is the development of a data warehouse at PT JKL in order to support executives in analyzing the organization and support the decision-making process. Methodology of this research is conducting interview with related units, literature study and document examination. This research also used the Nine Step Methodology developed by Kimball to design the data warehouse. The results obtained is an application that can summarize the data warehouse, integrating and presenting historical data in multidimensional. The conclusion from this research is the data warehouse can help companies to analyze data in a flexible, fast, and effective data access.Keywords: Data Warehouse; Inventory; Contract Approval; Inventory; Dashboard

  1. Demand Response Opportunities in Industrial Refrigerated Warehouses in California

    Energy Technology Data Exchange (ETDEWEB)

    Goli, Sasank; McKane, Aimee; Olsen, Daniel

    2011-06-14

    Industrial refrigerated warehouses that implemented energy efficiency measures and have centralized control systems can be excellent candidates for Automated Demand Response (Auto-DR) due to equipment synergies, and receptivity of facility managers to strategies that control energy costs without disrupting facility operations. Auto-DR utilizes OpenADR protocol for continuous and open communication signals over internet, allowing facilities to automate their Demand Response (DR). Refrigerated warehouses were selected for research because: They have significant power demand especially during utility peak periods; most processes are not sensitive to short-term (2-4 hours) lower power and DR activities are often not disruptive to facility operations; the number of processes is limited and well understood; and past experience with some DR strategies successful in commercial buildings may apply to refrigerated warehouses. This paper presents an overview of the potential for load sheds and shifts from baseline electricity use in response to DR events, along with physical configurations and operating characteristics of refrigerated warehouses. Analysis of data from two case studies and nine facilities in Pacific Gas and Electric territory, confirmed the DR abilities inherent to refrigerated warehouses but showed significant variation across facilities. Further, while load from California's refrigerated warehouses in 2008 was 360 MW with estimated DR potential of 45-90 MW, actual achieved was much less due to low participation. Efforts to overcome barriers to increased participation may include, improved marketing and recruitment of potential DR sites, better alignment and emphasis on financial benefits of participation, and use of Auto-DR to increase consistency of participation.

  2. Automation in Warehouse Development

    NARCIS (Netherlands)

    Hamberg, R.; Verriet, J.

    2012-01-01

    The warehouses of the future will come in a variety of forms, but with a few common ingredients. Firstly, human operational handling of items in warehouses is increasingly being replaced by automated item handling. Extended warehouse automation counteracts the scarcity of human operators and

  3. Model Data Warehouse dan Business Intelligence untuk Meningkatkan Penjualan pada PT. S

    Directory of Open Access Journals (Sweden)

    Rudy Rudy

    2011-06-01

    Full Text Available Today a lot of companies use information system in every business activity. Every transaction is stored electronically in the database transaction. The transactional database does not help much to assist the executives in making strategic decisions to improve the company competitiveness. The objective of this research is to analyze the operational database system and the information needed by the management to design a data warehouse model which fits the executive information needs in PT. S. The research method uses the Nine-Step Methodology data warehouse design by Ralph Kimball. The result is a data warehouse featuring business intelligence applications to display information of historical data in tables, graphs, pivot tables, and dashboards and has several points of view for the management. This research concludes that a data warehouse which combines multiple database transactions with business intelligence application can help executives to understand the reports in order to accelerate decision-making processes. 

  4. Analisis Dan Perancangan Data Warehouse Pada PT Pelita Tatamas Jaya

    Directory of Open Access Journals (Sweden)

    Choirul Huda

    2010-12-01

    Full Text Available The purpose of this research is to assist in providing information to support decision-making processes in sales, purchasing and inventory control at PT Tatamas Pelita Jaya. With the support of data warehouse, business leaders can be more helpful in making decisions more quickly and precisely. Research methodology includes analysis of current systems, library research, designing a data warehousing schema using bintang. The result of this research is the availability of a data warehouse that can generate information quickly and precisely, thus helping the company in making decisions. The conclusion of this research is the application of data warehouse can be a media aide related parties on PT Tatamas Pelita Jaya in decision making. 

  5. Data Warehouse Architecture for Army Installations

    National Research Council Canada - National Science Library

    Reddy, Prameela

    1999-01-01

    .... A data warehouse is a single store of information to answer complex queries from management using cross-functional data to perform advanced data analysis methods and to compare with historical data...

  6. Developing a standardized healthcare cost data warehouse.

    Science.gov (United States)

    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

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

    Science.gov (United States)

    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

  8. PEMAHAMAN TEORI DATA WAREHOUSE BAGI MAHASISWA TAHUN AWAL JENJANG STRATA SATU BIDANG ILMU KOMPUTER

    Directory of Open Access Journals (Sweden)

    Harco Leslie Hendric Spits Warnars

    2015-01-01

    Full Text Available As a Computer scientist, a computer science students should have understanding about database theory as a concept of data maintenance. Database will be needed in every single human real life computer implementation such as information systems, information technology, internet, games, artificial intelligence, robot and so on. Inevitably, the right data handling and managament will produce excellent technology implementation. Data warehouse as one of the specialization subject which is offered in computer science study program final semester, provide challenge for computer science students.A survey was conducted on 18 students of early year of computer science study program at Surya university and giving hypothesis that for those students who ever heard of a data warehouse would be interested to learn data warehouse and on other hand, students who had never heard of the data warehouse will not be interested to learn data warehouse. Therefore, it is important that delivery of the Data warehouse subject material should be understood by lecturers, so that students can well understoodwith the data warehouse.

  9. TRUNCATULIX--a data warehouse for the legume community.

    Science.gov (United States)

    Henckel, Kolja; Runte, Kai J; Bekel, Thomas; Dondrup, Michael; Jakobi, Tobias; Küster, Helge; Goesmann, Alexander

    2009-02-11

    Databases for either sequence, annotation, or microarray experiments data are extremely beneficial to the research community, as they centrally gather information from experiments performed by different scientists. However, data from different sources develop their full capacities only when combined. The idea of a data warehouse directly adresses this problem and solves it by integrating all required data into one single database - hence there are already many data warehouses available to genetics. For the model legume Medicago truncatula, there is currently no such single data warehouse that integrates all freely available gene sequences, the corresponding gene expression data, and annotation information. Thus, we created the data warehouse TRUNCATULIX, an integrative database of Medicago truncatula sequence and expression data. The TRUNCATULIX data warehouse integrates five public databases for gene sequences, and gene annotations, as well as a database for microarray expression data covering raw data, normalized datasets, and complete expression profiling experiments. It can be accessed via an AJAX-based web interface using a standard web browser. For the first time, users can now quickly search for specific genes and gene expression data in a huge database based on high-quality annotations. The results can be exported as Excel, HTML, or as csv files for further usage. The integration of sequence, annotation, and gene expression data from several Medicago truncatula databases in TRUNCATULIX provides the legume community with access to data and data mining capability not previously available. TRUNCATULIX is freely available at http://www.cebitec.uni-bielefeld.de/truncatulix/.

  10. Getting data out of the electronic patient record: critical steps in building a data warehouse for decision support.

    Science.gov (United States)

    Ebidia, A; Mulder, C; Tripp, B; Morgan, M W

    1999-01-01

    Health care has taken advantage of computers to streamline many clinical and administrative processes. However, the potential of health care information technology as a source of data for clinical and administrative decision support has not been fully explored. This paper describes the process of developing on-line analytical processing (OLAP) capacity from data generated in an on-line transaction processing (OLTP) system (the electronic patient record). We discuss the steps used to evaluate the EPR system, retrieve the data, and create an analytical data warehouse accessible for analysis. We also summarize studies based on the data (lab re-engineering, practice variation in diagnostic decision-making and evaluation of a clinical alert). Besides producing a useful data warehouse, the process also increased understanding of organizational and cost considerations in purchasing OLAP tools. We discuss the limitations of our approach and ways in which these limitations can be addressed.

  11. Contextualizing Data Warehouses with Documents

    DEFF Research Database (Denmark)

    Perez, Juan Manuel; Berlanga, Rafael; Aramburu, Maria Jose

    2008-01-01

    warehouse with a document warehouse, resulting in a contextualized warehouse. Thus, the user first selects an analysis context by supplying some keywords. Then, the analysis is performed on a novel type of OLAP cube, called an R-cube, which is materialized by retrieving and ranking the documents...

  12. Fire detection in warehouse facilities

    CERN Document Server

    Dinaburg, Joshua

    2013-01-01

    Automatic sprinklers systems are the primary fire protection system in warehouse and storage facilities. The effectiveness of this strategy has come into question due to the challenges presented by modern warehouse facilities, including increased storage heights and areas, automated storage retrieval systems (ASRS), limitations on water supplies, and changes in firefighting strategies. The application of fire detection devices used to provide early warning and notification of incipient warehouse fire events is being considered as a component of modern warehouse fire protection.Fire Detection i

  13. The Data Warehouse Lifecycle Toolkit

    CERN Document Server

    Kimball, Ralph; Thornthwaite, Warren; Mundy, Joy; Becker, Bob

    2011-01-01

    A thorough update to the industry standard for designing, developing, and deploying data warehouse and business intelligence systemsThe world of data warehousing has changed remarkably since the first edition of The Data Warehouse Lifecycle Toolkit was published in 1998. In that time, the data warehouse industry has reached full maturity and acceptance, hardware and software have made staggering advances, and the techniques promoted in the premiere edition of this book have been adopted by nearly all data warehouse vendors and practitioners. In addition, the term "business intelligence" emerge

  14. A clinician friendly data warehouse oriented toward narrative reports: Dr. Warehouse.

    Science.gov (United States)

    Garcelon, Nicolas; Neuraz, Antoine; Salomon, Rémi; Faour, Hassan; Benoit, Vincent; Delapalme, Arthur; Munnich, Arnold; Burgun, Anita; Rance, Bastien

    2018-04-01

    Clinical data warehouses are often oriented toward integration and exploration of coded data. However narrative reports are of crucial importance for translational research. This paper describes Dr. Warehouse®, an open source data warehouse oriented toward clinical narrative reports and designed to support clinicians' day-to-day use. Dr. Warehouse relies on an original database model to focus on documents in addition to facts. Besides classical querying functionalities, the system provides an advanced search engine and Graphical User Interfaces adapted to the exploration of text. Dr. Warehouse is dedicated to translational research with cohort recruitment capabilities, high throughput phenotyping and patient centric views (including similarity metrics among patients). These features leverage Natural Language Processing based on the extraction of UMLS® concepts, as well as negation and family history detection. A survey conducted after 6 months of use at the Necker Children's Hospital shows a high rate of satisfaction among the users (96.6%). During this period, 122 users performed 2837 queries, accessed 4,267 patients' records and included 36,632 patients in 131 cohorts. The source code is available at this github link https://github.com/imagine-bdd/DRWH. A demonstration based on PubMed abstracts is available at https://imagine-plateforme-bdd.fr/dwh_pubmed/. Copyright © 2018 The Authors. Published by Elsevier Inc. All rights reserved.

  15. Metodología crisp para la implementación Data Warehouse

    Directory of Open Access Journals (Sweden)

    Octavio José Salcedo

    2010-06-01

    Full Text Available Currently, the generation of crystal clear reports, concise and above all based on true corporate information is a fundamental element in decision making, because this imminent need arises data warehouse as an essential resource for conducting the process, primarily founded on the philosophy using the concept OLAP and EIS and DSS for the completion of reports. Within the processes carried out for construction of the data warehouse is mainly involving the extraction, processing and handling Information for further definition of the metadata which in turn are used to define the data warehouse as an integrated system. The trend towards pointing BI, is to the dissemination of information both management and to all who need it from different dimensions and levels associated in order to obtainconsolidated or detailed reports to facilitate the synthesis of certain business process that directly impact the decision-making, which at last is the same purpose of the data warehouse. To carry out the implementation of this process is necessary to have an appropriate methodology, so that the project was designed under the structure ofinternational standards, which are the foundation for obtaining excellent results on project implementation.

  16. TRUNCATULIX – a data warehouse for the legume community

    Directory of Open Access Journals (Sweden)

    Runte Kai J

    2009-02-01

    Full Text Available Abstract Background Databases for either sequence, annotation, or microarray experiments data are extremely beneficial to the research community, as they centrally gather information from experiments performed by different scientists. However, data from different sources develop their full capacities only when combined. The idea of a data warehouse directly adresses this problem and solves it by integrating all required data into one single database – hence there are already many data warehouses available to genetics. For the model legume Medicago truncatula, there is currently no such single data warehouse that integrates all freely available gene sequences, the corresponding gene expression data, and annotation information. Thus, we created the data warehouse TRUNCATULIX, an integrative database of Medicago truncatula sequence and expression data. Results The TRUNCATULIX data warehouse integrates five public databases for gene sequences, and gene annotations, as well as a database for microarray expression data covering raw data, normalized datasets, and complete expression profiling experiments. It can be accessed via an AJAX-based web interface using a standard web browser. For the first time, users can now quickly search for specific genes and gene expression data in a huge database based on high-quality annotations. The results can be exported as Excel, HTML, or as csv files for further usage. Conclusion The integration of sequence, annotation, and gene expression data from several Medicago truncatula databases in TRUNCATULIX provides the legume community with access to data and data mining capability not previously available. TRUNCATULIX is freely available at http://www.cebitec.uni-bielefeld.de/truncatulix/.

  17. The Microsoft Data Warehouse Toolkit With SQL Server 2008 R2 and the Microsoft Business Intelligence Toolset

    CERN Document Server

    Mundy, Joy; Kimball, Ralph

    2011-01-01

    Best practices and invaluable advice from world-renowned data warehouse expertsIn this book, leading data warehouse experts from the Kimball Group share best practices for using the upcoming "Business Intelligence release" of SQL Server, referred to as SQL Server 2008 R2. In this new edition, the authors explain how SQL Server 2008 R2 provides a collection of powerful new tools that extend the power of its BI toolset to Excel and SharePoint users and they show how to use SQL Server to build a successful data warehouse that supports the business intelligence requirements that are common to most

  18. Unexpected levels and movement of radon in a large warehouse

    International Nuclear Information System (INIS)

    Gammage, R.B.; Espinosa, G.

    2004-01-01

    Alpha-track detectors, used in screening for radon, identified a large warehouse with levels of radon as high as 20 p Ci/l. This circumstance was unexpected because large bay doors were left open for much of the day to admit 1 8-wheeler trucks, and exhaust fans in the roof produced good ventilation. More detailed temporal and spatial investigations of radon and air-flow patterns were made with electret chambers, Lucas-cell flow chambers, tracer gas, smoke pencils and pressure sensing micrometers. An oval-dome shaped zone of radon (>4 p Ci/L) persisted in the central region of each of four separate bays composing the warehouse. Detailed studies of air movement in the bay with the highest levels of radon showed clockwise rotation of air near the outer walls with a central dead zone. Sub slab, radon-laden air ingresses the building through expansion joints between the floor slabs to produce the measured radon. The likely source of radon is air within porous, karst bedrock that underlies much of north-central Tennessee where the warehouse is situated

  19. Pengembangan Data Warehouse Menggunakan Pendekatan Data-Driven untuk Membantu Pengelolaan SDM

    Directory of Open Access Journals (Sweden)

    Mujiono Mujiono

    2016-01-01

    Full Text Available The basis of bureaucratic reform is the reform of human resources management. One supporting factor is the development of an employee database. To support the management of human resources required including data warehouse and business intelligent tools. The data warehouse is an integrated concept of reliable data storage to provide support to all the needs of the data analysis. In this study developed a data warehouse using the data-driven approach to the source data comes from SIMPEG, SAPK and electronic presence. Data warehouses are designed using the nine steps methodology and unified modeling language (UML notation. Extract transform load (ETL is done by using Pentaho Data Integration by applying transformation maps. Furthermore, to help human resource management, the system is built to perform online analytical processing (OLAP to facilitate web-based information. In this study generated BI application development framework with Model-View-Controller (MVC architecture and OLAP operations are built using the dynamic query generation, PivotTable, and HighChart to present information about PNS, CPNS, Retirement, Kenpa and Presence

  20. Warehouse hazardous and toxic waste design in Karingau Balikpapan

    Science.gov (United States)

    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.

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

    Science.gov (United States)

    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

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

    Science.gov (United States)

    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.

  3. [Peranesthesic Anaphylactic Shocks: Contribution of a Clinical Data Warehouse].

    Science.gov (United States)

    Osmont, Marie-Noëlle; Campillo-Gimenez, Boris; Metayer, Lucie; Jantzem, Hélène; Rochefort-Morel, Cécile; Cuggia, Marc; Polard, Elisabeth

    2015-10-16

    To evaluate the performance of the collection of cases of anaphylactic shock during anesthesia in the Regional Pharmacovigilance Center of Rennes and the contribution of a query in the biomedical data warehouse of the French University Hospital of Rennes in 2009. Different sources were evaluated: the French pharmacovigilance database (including spontaneous reports and reports from a query in the database of the programme de médicalisation des systèmes d'information [PMSI]), records of patients seen in allergo-anesthesia (source considered as comprehensive as possible) and a query in the data warehouse. Analysis of allergo-anesthesia records detected all cases identified by other methods, as well as two other cases (nine cases in total). The query in the data warehouse enabled detection of seven cases out of the nine. Querying full-text reports and structured data extracted from the hospital information system improves the detection of anaphylaxis during anesthesia and facilitates access to data. © 2015 Société Française de Pharmacologie et de Thérapeutique.

  4. Developing and Marketing a Client/Server-Based Data Warehouse.

    Science.gov (United States)

    Singleton, Michele; And Others

    1993-01-01

    To provide better access to information, the University of Arizona information technology center has designed a data warehouse accessible from the desktop computer. A team approach has proved successful in introducing and demonstrating a prototype to the campus community. (Author/MSE)

  5. [Establishment of data warehouse of needling and moxibustion literature based on data mining].

    Science.gov (United States)

    Wang, Jian-Ling; Li, Ren-Ling; Jia, Chun-Sheng

    2012-02-01

    In order to explore the efficacy specificity and valuable rules of clinical application of needling and moxibustion methods in a large quantity of information from literature, a data warehouse needs being established. On the basis of the original databases of red-hot needle therapy and hydro-acupuncture therapy, and the newly-established databases of acupoint catgut embedding therapy, acupoint application therapy, etc., and in accordance with the characteristics of different types of needling-moxibustion literature information, databases on different subjects were established first. These subject databases constitute a general "literature data warehouse on needling moxibustion methods" composing of multi-subjects and multiple dimensions so as to discover useful regularities about clinical treatment and trials collected in the literature by using data mining techniques. In the present paper, the authors introduce the design of the data warehouse, determination of subjects, establishment of subject relations, application of the administration platform, and application of data. This data warehouse will provide a standard data representation mode, enlarge data attributes and create extensive data links among literature information in the network, and may bring us with considerable convenience and profits in clinical application decision making and scientific research about needling-moxibustion techniques.

  6. Rancang Bangun Data Warehouse Untuk Analisis Kinerja Penjualan Pada Industri Dengan Model Spa-Dw

    Directory of Open Access Journals (Sweden)

    Randy Oktrima Putra

    2014-02-01

    Full Text Available A company, majorly company that active in commercial (profit orientation need to analyze their sales performance. By analyzing sales performance, company can increase their sales performance. One of method to analyze sales performance is by collecting historical data that relates to sales and then process that data so that produce information that show company sales performance.   A data warehouse is a set of data that has characteristic subject oriented, time variant, integrated, and nonvolatile that help company management in processing of decision making. Design of data warehouse is started from collecting data that relate to sales such as product, customer, sales area, sales transaction, etc. After collecting the data, next is data extraction and transformation. Data extraction is a process f or selecting data that will be loaded into data warehouse. Data transformation is making some change to the data afte r extracted to be more consistent. After transformation processing, data are loaded into data warehouse. Data in data warehouse is processed by OLAP (On Line Analytical Processing to produce information.  Information that are produced from data processing  by OLAP are chart and query reporting. Chart reporting are sales chart based on cement type, sales chart based on sales area, sales chart based on plant, monthly and year ly sales chart, and chart based on customer feedback. Query reporting are sales based on cement type, sales area, plant and customer.Keywords: Data warehouse; OLAP; Sales performance analysis; Ready mix market

  7. Design of data warehouse in teaching state based on OLAP and data mining

    Science.gov (United States)

    Zhou, Lijuan; Wu, Minhua; Li, Shuang

    2009-04-01

    The data warehouse and the data mining technology is one of information technology research hot topics. At present the data warehouse and the data mining technology in aspects and so on commercial, financial industry as well as enterprise's production, market marketing obtained the widespread application, but is relatively less in educational fields' application. Over the years, the teaching and management have been accumulating large amounts of data in colleges and universities, while the data can not be effectively used, in the light of social needs of the university development and the current status of data management, the establishment of data warehouse in university state, the better use of existing data, and on the basis dealing with a higher level of disposal --data mining are particularly important. In this paper, starting from the decision-making needs design data warehouse structure of university teaching state, and then through the design structure and data extraction, loading, conversion create a data warehouse model, finally make use of association rule mining algorithm for data mining, to get effective results applied in practice. Based on the data analysis and mining, get a lot of valuable information, which can be used to guide teaching management, thereby improving the quality of teaching and promoting teaching devotion in universities and enhancing teaching infrastructure. At the same time it can provide detailed, multi-dimensional information for universities assessment and higher education research.

  8. 27 CFR 24.141 - Bonded wine warehouse.

    Science.gov (United States)

    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...

  9. 7 CFR 1726.150 - Headquarters buildings.

    Science.gov (United States)

    2010-01-01

    ... 7 Agriculture 11 2010-01-01 2010-01-01 false Headquarters buildings. 1726.150 Section 1726.150... AGRICULTURE ELECTRIC SYSTEM CONSTRUCTION POLICIES AND PROCEDURES Buildings § 1726.150 Headquarters buildings. This section includes headquarters buildings such as warehouses and equipment service type buildings...

  10. Clinical Use of an Enterprise Data Warehouse

    Science.gov (United States)

    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

  11. 7 CFR 735.302 - Paper warehouse receipts.

    Science.gov (United States)

    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...

  12. BIM. Building Information Model. Special issue; BIM. Building Information Model. Themanummer

    Energy Technology Data Exchange (ETDEWEB)

    Van Gelder, A.L.A. [Arta and Consultancy, Lage Zwaluwe (Netherlands); Van den Eijnden, P.A.A. [Stichting Marktwerking Installatietechniek, Zoetermeer (Netherlands); Veerman, J.; Mackaij, J.; Borst, E. [Royal Haskoning DHV, Nijmegen (Netherlands); Kruijsse, P.M.D. [Wolter en Dros, Amersfoort (Netherlands); Buma, W. [Merlijn Media, Waddinxveen (Netherlands); Bomhof, F.; Willems, P.H.; Boehms, M. [TNO, Delft (Netherlands); Hofman, M.; Verkerk, M. [ISSO, Rotterdam (Netherlands); Bodeving, M. [VIAC Installatie Adviseurs, Houten (Netherlands); Van Ravenswaaij, J.; Van Hoven, H. [BAM Techniek, Bunnik (Netherlands); Boeije, I.; Schalk, E. [Stabiplan, Bodegraven (Netherlands)

    2012-11-15

    A series of 14 articles illustrates the various aspects of the Building Information Model (BIM). The essence of BIM is to capture information about the building process and the building product. [Dutch] In 14 artikelen worden diverse aspecten m.b.t. het Building Information Model (BIM) belicht. De essentie van BIM is het vastleggen van informatie over het bouwproces en het bouwproduct.

  13. Information Centre and ``Cockpit`` of a modern electricity supply company: the data warehouse; Informationszentrale und ``Cockpit`` eines modernen EVU: das Data Warehouse

    Energy Technology Data Exchange (ETDEWEB)

    Kuebert, K. [Unterfraenkische Ueberlandzentrale (UUEZ), Luelsfeld (Germany); Gimenez, O. [Franken-Data GmbH, Erlangen (Germany)

    1999-06-14

    Electricity supply companies have a big advantage: They continuously measure consumer behaviour, thanks to network control systems, centralised multistations and remote meter reading. However, they do not combine this data on a consistent basis frequently enough to be able to draw valuable consequences for sales and marketing. One of the few exceptions in the Unterfraenkische Ueberlandzentrale, UUeZ (Lower Franconian Electricity Supply Company). At UUeZ, the meter readings from each individual load profile meter built into the plant of customers with special contracts, are fed together into a `cockpit`. Assisted by a Data-Warehouse-Solution from FrankenData GmbH, an ingenious information system that enables longterm trends and optimisation potential to be recognised immediately was implemented. The benefits for electricity suppliers: A constant load factor and reduction of peaks, improved customer contact as well as more precise information at negotiations and therefore more advantageous contracts. Customers also benefit from the new system: They receive more economical tariffs and detailed reports about their consumer behaviour, which they can then optimise by taking appropriate measures. (orig.) [Deutsch] Energieversorgungsunternehmen haben gegenueber anderen Unternehmen den Vorteil, dass sie das Verbraucherverhalten dank Netzleitsystemen, Roundsteuerung und neuerdings auch Zaehlerfernablesung kontinuierlich messen. Allerdings fuehren sie diese Daten meist nicht konsequent genug zusammen, um daraus wertvolle Schluesse fuer Vertrieb und Marketing zu ziehen. Eine der wenigen Ausnahmen ist die Unterfraenkische Ueberlandzentrale (UUeZ). Bei der UUeZ laufen die Zaehlwerte von jedem einzelnen Lastprofilzaehler, der in die Anlagen der Sondervertragskunden eingebaut ist, in einem `Cockpit` zusammen. Mit Hilfe einer Data-Warehouse-Loesung der FrankenData GmbH wurde ein ausgekluegeltes Informationssystem realisiert, das langfristige Trends und Optimierungspotentiale sofort

  14. Protection of warehouses and plants under capacity constraint

    International Nuclear Information System (INIS)

    Bricha, Naji; Nourelfath, Mustapha

    2015-01-01

    While warehouses may be subjected to less protection effort than plants, their unavailability may have substantial impact on the supply chain performance. This paper presents a method for protection of plants and warehouses against intentional attacks in the context of the capacitated plant and warehouses location and capacity acquisition problem. A non-cooperative two-period game is developed to find the equilibrium solution and the optimal defender strategy under capacity constraints. The defender invests in the first period to minimize the expected damage and the attacker moves in the second period to maximize the expected damage. Extra-capacity of neighboring functional plants and warehouses is used after attacks, to satisfy all customers demand and to avoid the backorders. The contest success function is used to evaluate success probability of an attack of plants and warehouses. A numerical example is presented to illustrate an application of the model. The defender strategy obtained by our model is compared to the case where warehouses are subjected to less protection effort than the plants. This comparison allows us to measure how much our method is better, and illustrates the effect of direct investments in protection and indirect protection by warehouse extra-capacities to reduce the expected damage. - Highlights: • Protection of warehouses and plants against intentional attacks. • Capacitated plant and warehouse location and capacity acquisition problem. • A non-cooperative two-period game between the defender and the attacker. • A method to evaluate the utilities and determine the optimal defender strategy. • Using warehouse extra-capacities to reduce the expected damage

  15. Application of XML in real-time data warehouse

    Science.gov (United States)

    Zhao, Yanhong; Wang, Beizhan; Liu, Lizhao; Ye, Su

    2009-07-01

    At present, XML is one of the most widely-used technologies of data-describing and data-exchanging, and the needs for real-time data make real-time data warehouse a popular area in the research of data warehouse. What effects can we have if we apply XML technology to the research of real-time data warehouse? XML technology solves many technologic problems which are impossible to be addressed in traditional real-time data warehouse, and realize the integration of OLAP (On-line Analytical Processing) and OLTP (Online transaction processing) environment. Then real-time data warehouse can truly be called "real time".

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

    Science.gov (United States)

    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/

  17. A study of multidimensional modeling approaches for data warehouse

    Science.gov (United States)

    Yusof, Sharmila Mat; Sidi, Fatimah; Ibrahim, Hamidah; Affendey, Lilly Suriani

    2016-08-01

    Data warehouse system is used to support the process of organizational decision making. Hence, the system must extract and integrate information from heterogeneous data sources in order to uncover relevant knowledge suitable for decision making process. However, the development of data warehouse is a difficult and complex process especially in its conceptual design (multidimensional modeling). Thus, there have been various approaches proposed to overcome the difficulty. This study surveys and compares the approaches of multidimensional modeling and highlights the issues, trend and solution proposed to date. The contribution is on the state of the art of the multidimensional modeling design.

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

    Science.gov (United States)

    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.

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

    Science.gov (United States)

    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.

  20. The impact of e-commerce on warehouse operations

    Directory of Open Access Journals (Sweden)

    Wiktor Żuchowski

    2016-03-01

    Full Text Available Background: We often encounter opinions concerning the unusual nature of warehouses used for the purposes of e-commerce, most often spread by providers of modern technological equipment and designers of such solutions. Of course, in the case of newly built facilities, it is advisable to consider innovative technologies, especially in terms of order picking. However, in many cases, the differences between "standard" warehouses, serving, for example, the vehicle spare parts market, and warehouses that are ready to handle retail orders placed electronically (defined as e-commerce are negligible. The scale of the differences between the existing "standard" warehouses and those adapted to handle e-commerce is dependent on the industry and supported of customers' structure. Methods: On the basis of experiences and on examples of enterprises two cases of the impact of a hypothetical e-commerce implementation for the warehouse organization and technology have been analysed. Results: The introduction of e-commerce into warehouses entails respective changes to previously handled orders. Warehouses serving the retail market are in principle prepared to process electronic orders. In this case, the introduction of (direct electronic sales is justified and feasible with relatively little effort. Conclusions: It cannot be said with certainty that the introduction of e-commerce in the warehouse is a revolution for its employees and managers. It depends on the markets in which the company operates, and on customers served by the warehouse prior to the introduction of e-commerce.

  1. Warehouse order-picking process. Order-picker routing problem

    Directory of Open Access Journals (Sweden)

    E. V. Korobkov

    2015-01-01

    Full Text Available This article continues “Warehouse order-picking process” cycle and describes order-picker routing sub-problem of a warehouse order-picking process. It draws analogies between the orderpickers’ routing problem and traveling salesman’s problem, shows differences between the standard problem statement of a traveling salesman and routing problem of warehouse orderpickers, and gives the particular Steiner’s problem statement of a traveling salesman.Warehouse layout with a typical order is represented by a graph, with some its vertices corresponding to mandatory order-picker’s visits and some other ones being noncompulsory. The paper describes an optimal Ratliff-Rosenthal algorithm to solve order-picker’s routing problem for the single-block warehouses, i.e. warehouses with only two crossing aisles, defines seven equivalent classes of partial routing sub-graphs and five transitions used to have an optimal routing sub-graph of a order-picker. An extension of optimal Ratliff-Rosenthal order-picker routing algorithm for multi-block warehouses is presented and also reasons for using the routing heuristics instead of exact optimal algorithms are given. The paper offers algorithmic description of the following seven routing heuristics: S-shaped, return, midpoint, largest gap, aisle-by-aisle, composite, and combined as well as modification of combined heuristics. The comparison of orderpicker routing heuristics for one- and two-block warehouses is to be described in the next article of the “Warehouse order-picking process” cycle.

  2. Congestion-Aware Warehouse Flow Analysis and Optimization

    KAUST Repository

    AlHalawani, Sawsan

    2015-12-18

    Generating realistic configurations of urban models is a vital part of the modeling process, especially if these models are used for evaluation and analysis. In this work, we address the problem of assigning objects to their storage locations inside a warehouse which has a great impact on the quality of operations within a warehouse. Existing storage policies aim to improve the efficiency by minimizing travel time or by classifying the items based on some features. We go beyond existing methods as we analyze warehouse layout network in an attempt to understand the factors that affect traffic within the warehouse. We use simulated annealing based sampling to assign items to their storage locations while reducing traffic congestion and enhancing the speed of order picking processes. The proposed method enables a range of applications including efficient storage assignment, warehouse reliability evaluation and traffic congestion estimation.

  3. Congestion-Aware Warehouse Flow Analysis and Optimization

    KAUST Repository

    AlHalawani, Sawsan; Mitra, Niloy J.

    2015-01-01

    Generating realistic configurations of urban models is a vital part of the modeling process, especially if these models are used for evaluation and analysis. In this work, we address the problem of assigning objects to their storage locations inside a warehouse which has a great impact on the quality of operations within a warehouse. Existing storage policies aim to improve the efficiency by minimizing travel time or by classifying the items based on some features. We go beyond existing methods as we analyze warehouse layout network in an attempt to understand the factors that affect traffic within the warehouse. We use simulated annealing based sampling to assign items to their storage locations while reducing traffic congestion and enhancing the speed of order picking processes. The proposed method enables a range of applications including efficient storage assignment, warehouse reliability evaluation and traffic congestion estimation.

  4. A Million Cancer Genome Warehouse

    Science.gov (United States)

    2012-11-20

    of a national program for Cancer Information Donors, the American Society for Clinical Oncology (ASCO) has proposed a rapid learning system for...or Scala and Spark; “scrum” organization of small programming teams; calculating “velocity” to predict time to develop new features; and Agile...2012 to 00-00-2012 4. TITLE AND SUBTITLE A Million Cancer Genome Warehouse 5a. CONTRACT NUMBER 5b. GRANT NUMBER 5c. PROGRAM ELEMENT NUMBER 6

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

    Science.gov (United States)

    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.

  6. PERANCANGAN DAN IMPLEMENTASI DATA WAREHOUSE METEOROLOGI, KLIMATOLOGI, GEOFISIKA DAN BENCANA ALAM

    Directory of Open Access Journals (Sweden)

    Agus Safril

    2014-05-01

    Full Text Available BMKG telah memiliki data berasal dari beberapa sistem basis data historis (legacy system baik yang telah tersimpan dalam sistem informasi database maupun data dalam bentuk lembar kerja (worksheet. Data lama ini sering tidak digunakan ketika  sistem database baru dikembangkan. Agar data lama tetap dapat digunakan, diperlukan integrasi data lama dan baru. Data warehouse adalah konsep yang digunakan untuk mengintegrasikan data dalam penyimpanan sistem database terpadu BMKG. Integrasi data dilakukan dengan melakukan ekstraksi dari sumber data dengan mengambil item data yang diperlukan. Sumber data diperoleh dari sistem informasi yang ada di kelompok meteorologi, klimatologi dan geofisika. Proses integrasi data dimulai dengan ekstraksi (extraction kemudian dilakukan penyeragaman (transformation sehingga sesuai dengan format yang digunakan untuk kepentingan analisis. Selanjutnya dilakukan proses penyimpanan dalam data warehouse (loading. Prototipe data warehouse yang dibangun mencakup proses input data melalui ekstraksi data lama maupun data baru menggunakan media perangkat lunak akuisisi data. Hasil keluaran (output berupa laporan data dengan perioda data sesuai dengan kebutuhan.   The data collections of BMKG is captured from the legacy systems that is stored in the information systems or data worksheet. Sometimes the legacy system is not used when the new DBMS has been developed. In order the legacy system usefull for DBMS of BMKG, the data is integrated from the legacy systems to the new database systems. Data warehouse is the concept to integrate data to the BMKG Data Base Management System (DMBS. To integrate data, data is integrated the data sources from legacy systems that has been stored in the meteorology, climatology and geophysic information system. The next steps is transformed to data that has the format accordance with the weather analysis requirement. Finally, data must be loaded into the data warehouse.  The data warehouse

  7. Event-Entity-Relationship Modeling in Data Warehouse Environments

    DEFF Research Database (Denmark)

    Bækgaard, Lars

    We use the event-entity-relationship model (EVER) to illustrate the use of entity-based modeling languages for conceptual schema design in data warehouse environments. EVER is a general-purpose information modeling language that supports the specification of both general schema structures and multi...

  8. DICOM Data Warehouse: Part 2.

    Science.gov (United States)

    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.

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

    Science.gov (United States)

    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.

  10. XWeB: The XML Warehouse Benchmark

    Science.gov (United States)

    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.

  11. Development of a clinical data warehouse for hospital infection control.

    Science.gov (United States)

    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.

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

    Science.gov (United States)

    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

  13. Study and application of data mining and data warehouse in CIMS

    Science.gov (United States)

    Zhou, Lijuan; Liu, Chi; Liu, Daxin

    2003-03-01

    The interest in analyzing data has grown tremendously in recent years. To analyze data, a multitude of technologies is need, namely technologies from the fields of Data Warehouse, Data Mining, On-line Analytical Processing (OLAP). This paper gives a new architecture of data warehouse in CIMS according to CRGC-CIMS application engineering. The data source of this architecture comes from database of CRGC-CIMS system. The data is put in global data set by extracting, filtrating and integrating, and then the data is translated to data warehouse according information request. We have addressed two advantages of the new model in CRGC-CIMS application. In addition, a Data Warehouse contains lots of materialized views over the data provided by the distributed heterogeneous databases for the purpose of efficiently implementing decision-support, OLAP queries or data mining. It is important to select the right view to materialize that answer a given set of queries. In this paper, we also have designed algorithms for selecting a set of views to be materialized in a data warehouse in order to answer the most queries under the constraint of given space. First, we give a cost model for selecting materialized views. Then we give the algorithms that adopt gradually recursive method from bottom to top. We give description and realization of algorithms. Finally, we discuss the advantage and shortcoming of our approach and future work.

  14. The Analytic Information Warehouse (AIW): a platform for analytics using electronic health record data.

    Science.gov (United States)

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

    2013-06-01

    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. 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. 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 30days. The project examined the association of over 100 derived variables representing disease and co-morbidity phenotypes with readmissions in 5years 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. 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. Copyright © 2013 Elsevier Inc. All rights reserved.

  15. Implementation of Lean Warehouse to Minimize Wastes in Finished Goods Warehouse of PT Charoen Pokphand Indonesia Semarang

    Directory of Open Access Journals (Sweden)

    Nia Budi Puspitasari

    2016-03-01

    Full Text Available PT. Charoen Pokphand Indonesia Semarang is one of the largest poultry feed companies in Indonesia. To store the finished products that are ready to be distributed, it needs a finished goods warehouse. To minimize the wastes that occur in the process of warehousing the finished goods, the implementation of lean warehouse is required. The core process of finished goods warehouse is the process of putting bag that has been through the process of pallets packing, and then transporting the pallets contained bags of feed at finished goods warehouses and the process of unloading food from the finished goods warehouse to the distribution truck. With the implementation of the lean warehouse, we can know whether the activities are value added or not, to be identified later which type of waste happened. Opinions of stakeholders regarding the waste that must be eliminated first need to be determined by questionnaires. Based on the results of the questionnaires, three top wastes are selected to be identified the cause by using fishbone diagram. They can be repaired by using the implementation of 5S, namely Seiri, Seiton, Seiso, Seiketsu, and Shitsuke. Defect waste can be minimized by selecting pallet, putting sack correctly, forklift line clearance, applying working procedures, and creating cleaning schedule. Next, overprocessing waste is minimized by removing unnecessary items, putting based on the date of manufacture, and manufacture of feed plan. Inventory waste is minimized by removing junks, putting feed based on the expired date, and cleaning the barn

  16. Integrating Data Warehouses with Web Data

    DEFF Research Database (Denmark)

    Perez, Juan Manuel; Berlanga, Rafael; Aramburu, Maria Jose

    This paper surveys the most relevant research on combining Data Warehouse (DW) and Web data. It studies the XML technologies that are currently being used to integrate, store, query and retrieve web data, and their application to data warehouses. The paper addresses the problem of integrating...

  17. Development of Auto-Stacking Warehouse Truck

    Directory of Open Access Journals (Sweden)

    Kuo-Hsien Hsia

    2018-03-01

    Full Text Available Warehouse automation is a very important issue for the promotion of traditional industries. For the production of larger and stackable products, it is usually necessary to operate a fork-lifter for the stacking and storage of the products by a skilled person. The general autonomous warehouse-truck does not have the ability of stacking objects. In this paper, we develop a prototype of auto-stacking warehouse-truck that can work without direct operation by a skill person. With command made by an RFID card, the stacker truck can take the packaged product to the warehouse on the prior-planned route and store it in a stacking way in the designated storage area, or deliver the product to the shipping area or into the container from the storage area. It can significantly reduce the manpower requirements of the skilled-person of forklift technician and improve the safety of the warehousing area.

  18. Importance of public warehouse system for financing agribusiness sector

    Directory of Open Access Journals (Sweden)

    Zakić Vladimir

    2014-01-01

    Full Text Available The aim of this study was to determine the economic viability of the use of warehouse receipts for the storage of wheat and corn, based on the analysis of trends in product prices, storage costs in public warehouses and interest rate of loans against warehouse receipts. Agricultural producers are urged to sell grain at the harvest time when the price of agricultural products is usually lowest, mostly because of their needs for financial sources. Instead of selling products, farmers can store them in the public warehouses and use short-time financing by lending against warehouse receipt with usually lowest interest rate. In following months, farmers can sell products at higher price and repay short-term loan. This study showed that strategy of using public warehouses and postponing the sale of grains after harvest is profitable strategy for agricultural producers.

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

    Science.gov (United States)

    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.

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

    Science.gov (United States)

    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…

  1. Designing a Data Warehouse for Cyber Crimes

    Directory of Open Access Journals (Sweden)

    Il-Yeol Song

    2006-09-01

    Full Text Available One of the greatest challenges facing modern society is the rising tide of cyber crimes. These crimes, since they rarely fit the model of conventional crimes, are difficult to investigate, hard to analyze, and difficult to prosecute. Collecting data in a unified framework is a mandatory step that will assist the investigator in sorting through the mountains of data. In this paper, we explore designing a dimensional model for a data warehouse that can be used in analyzing cyber crime data. We also present some interesting queries and the types of cyber crime analyses that can be performed based on the data warehouse. We discuss several ways of utilizing the data warehouse using OLAP and data mining technologies. We finally discuss legal issues and data population issues for the data warehouse.

  2. Building information deduced

    DEFF Research Database (Denmark)

    Tamke, Martin; Myrup Jensen, Morten; Beetz, Jakob

    2014-01-01

    In recent years, Building Information Models have become commonplace in building profession. The extensive use and increasing experience with BIM models offers new perspectives and potentials for design and planning. A recent stakeholder study conducted by the authors of this paper show that in p......In recent years, Building Information Models have become commonplace in building profession. The extensive use and increasing experience with BIM models offers new perspectives and potentials for design and planning. A recent stakeholder study conducted by the authors of this paper show...... that in practice models are no longer solely observed as culmination of knowledge in a 3d representation of future built structures, but as a source of information in itself. Experienced users of BIM want to Find Information within a model or across a set of these and Compare models in order to evaluate states...... of a model, differences in separate models or models from different point of time. Current BIM tools support both modes only in a rudimentary form. This paper discusses current modes of information query within and across BIM models, shows beneficial scenarios for building and planning practice through...

  3. Six methodological steps to build medical data warehouses for research.

    Science.gov (United States)

    Szirbik, N B; Pelletier, C; Chaussalet, T

    2006-09-01

    We propose a simple methodology for heterogeneous data collection and central repository-style database design in healthcare. Our method can be used with or without other software development frameworks, and we argue that its application can save a relevant amount of implementation effort. Also, we believe that the method can be used in other fields of research, especially those that have a strong interdisciplinary nature. The idea emerged during a healthcare research project, which consisted among others in grouping information from heterogeneous and distributed information sources. We developed this methodology by the lessons learned when we had to build a data repository, containing information about elderly patients flows in the UK's long-term care system (LTC). We explain thoroughly those aspects that influenced the methodology building. The methodology is defined by six steps, which can be aligned with various iterative development frameworks. We describe here the alignment of our methodology with the RUP (rational unified process) framework. The methodology emphasizes current trends, as early identification of critical requirements, data modelling, close and timely interaction with users and stakeholders, ontology building, quality management, and exception handling. Of a special interest is the ontological engineering aspect, which had the effects with the highest impact after the project. That is, it helped stakeholders to perform better collaborative negotiations that brought better solutions for the overall system investigated. An insight into the problems faced by others helps to lead the negotiators to win-win situations. We consider that this should be the social result of any project that collects data for better decision making that leads finally to enhanced global outcomes.

  4. Public Refrigerated Warehouses

    Data.gov (United States)

    Department of Homeland Security — The International Association of Refrigerated Warehouses (IARW) came into existence in 1891 when a number of conventional warehousemen took on the demands of storing...

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

    Science.gov (United States)

    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

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

    Science.gov (United States)

    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

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

    Science.gov (United States)

    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.

  8. Subcritical calculation of the nuclear material warehouse

    International Nuclear Information System (INIS)

    Garcia M, T.; Mazon R, R.

    2009-01-01

    In this work the subcritical calculation of the nuclear material warehouse of the Reactor TRIGA Mark III labyrinth in the Mexico Nuclear Center is presented. During the adaptation of the nuclear warehouse (vault I), the fuel was temporarily changed to the warehouse (vault II) and it was also carried out the subcritical calculation for this temporary arrangement. The code used for the calculation of the effective multiplication factor, it was the Monte Carlo N-Particle Extended code known as MCNPX, developed by the National Laboratory of Los Alamos, for the particles transport. (Author)

  9. Order Picking Process in Warehouse: Case Study of Dairy Industry in Croatia

    Directory of Open Access Journals (Sweden)

    Josip Habazin

    2017-02-01

    Full Text Available The proper functioning of warehouse processes is fundamental for operational improvement and overall logistic supply chain improvement. Order picking is considered one of the most important from the group. Throughout picking orders in warehouses, the presence of human work is highly reflected, with the main goal to reduce the process time as much as possible, that is, to the very minimum. There are several different order picking methods, and nowadays, the most common ones are being developed and are significantly dependent on the type of goods, the warehouse equipment, etc., and those that stand out are scanning and picking by voice. This paper will provide information regarding the dairy industry in the Republic of Croatia with the analysis of order picking process in the observed company. Overall research highlighted the problem and resulted in proposals of solutions.

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

    Science.gov (United States)

    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/.

  11. Nigerian Concept Of Bonded Warehouses And Dry Ports | Ndikom ...

    African Journals Online (AJOL)

    The bonded warehouse in Nigeria is a strategic expansion of ordinary warehouses that are usually developed in the ports and related cities, strictly meant for safe-keeping of cargoes for owners before final take-over by consignees after payment of some customs duties. A bonded warehouse and ICDs are seen as ...

  12. Designing ETL Tools to Feed a Data Warehouse Based on Electronic Healthcare Record Infrastructure.

    Science.gov (United States)

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

    2015-01-01

    Aim of this paper is to propose a methodology to design Extract, Transform and Load (ETL) tools in a clinical data warehouse architecture based on the Electronic Healthcare Record (EHR). This approach takes advantages on the use of this infrastructure as one of the main source of information to feed the data warehouse, taking also into account that clinical documents produced by heterogeneous legacy systems are structured using the HL7 CDA standard. This paper describes the main activities to be performed to map the information collected in the different types of document with the dimensional model primitives.

  13. Perancangan Model Data Warehouse dan Perangkat Analitik untuk Memaksimalkan Proses Pemasaran Hotel: Studi Kasus pada Hotel Abc

    Directory of Open Access Journals (Sweden)

    Eka Miranda

    2013-06-01

    Full Text Available The increasing competition in hotel business forces every hotel to be equiped with analysis tools that can maximize its marketing performance. This paper discusses the development of a data warehouse model and analytic tools to enhance the company's competitive advantage through the utilization of a variety of data, information and knowledge held by the company as a raw material in the decision making process. A study is done at ABC Hotel which uses a database to save the transactional record. However, the database cannot be directly used to support analysis and decision making process. Based on this issue, the company needs a data warehouse model and analytic tools that can be used to store large amounts of data and also potentially to gain a new perspective of data distribution which allows to provide reporting and answers of ad hoc users questions and assist managers in making decisions. Further data warehouse model and analytic tools can be used to help manager to formulate planning and marketing strategies. Data are collected through interviews and literature study, followed by data analysis to analyze business processes, to identify the problems and the information to support analysis process. Furthermore, data warehouse is designed using analysis of records related to the activities in hotel's marketing area and data warehouse model. The result of this paper is data warehouse model and analytic tools to analyze the external and transactional data and to support decision making process in marketing area.

  14. HRSA Data Warehouse

    Data.gov (United States)

    U.S. Department of Health & Human Services — The HRSA Data Warehouse is the go-to source for data, maps, reports, locators, and dashboards on HRSA's public health programs. This website provides a wide variety...

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

    Science.gov (United States)

    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.

  16. From capturing nursing knowledge to retrieval of data from a data warehouse.

    Science.gov (United States)

    Thoroddsen, Asta; Guðjónsdóttir, Hanna K; Guðjónsdóttir, Elisabet

    2014-01-01

    The purpose of the project was to capture nursing data and knowledge, represent it for use and re-use by retrieval from a data warehouse, which contains both clinical and financial hospital data. Today nurses at LUH use standardized nursing terminologies to document information related to patients and the nursing care in the EHR at all times. Pre-defined order sets for nursing care have been developed using best practice where available and tacit nursing knowledge has been captured and coded with standardized nursing terminologies and made explicit for dissemination in the EHR. All patient-nursing data is permanently stored in a data repository. Core nursing data elements have been selected for transfer and storage in the data warehouse and patient-nursing data are now captured, stored, can be related to other data elements from the warehouse and be retrieved for use and re-use.

  17. The Share of Preservation Issues when Planning a Library Building

    Directory of Open Access Journals (Sweden)

    Marie-Thérèse Varlamoff

    2002-07-01

    Full Text Available Primarily and historically a library was a place where books or manuscripts were kept. „ Thékos” means warehouse or storage area in Greek. But nowadays a library is more than a depository. It is also a place where you can read books and access the information they contain. In the case of a new building or of the rehabilitation of an old building it might also serve as a showcase for politicians or decision makers. Hence the necessity to combine preservation issues, accessibility and architecture.

  18. Data Warehouse Emissieregistratie. A new tool to sustainability; Data Warehouse Emissieregistratie. Een nieuw instrument op weg naar duurzaamheid

    Energy Technology Data Exchange (ETDEWEB)

    Van Grootveld, G. [VROM-Inpsectie, Den Haag (Netherlands); Op den Kamp, A. [OpdenKamp Adviesgroep, Den Haag (Netherlands)

    2002-12-01

    An overview is given of the possibilities to use and search the title database which contains data on emission of pollution sources in different sectors in the Netherlands. [Dutch] De voorliggende publicatie illustreert de kracht van het Data Warehouse aan de hand van zeven voorbeelden in de hoofdstukken 3 tot en met 9. Daarbij wordt telkens ook een doorkijk naar duurzame ontwikkeling gegeven.In hoofdstuk 10 worden twee cases met een korte handleiding behandeld. In hoofdstuk 1 staat achtergrondinformatie over de milieubeleidketen en de plaats die monitoring daarin neemt. In hoofdstuk 2 worden kort de drie dimensies van het Data Warehouse en de mogelijkheden die het Data Warehouse biedt beschreven (www.emissieregistratie.nl)

  19. Routing Optimization of Intelligent Vehicle in Automated Warehouse

    Directory of Open Access Journals (Sweden)

    Yan-cong Zhou

    2014-01-01

    Full Text Available Routing optimization is a key technology in the intelligent warehouse logistics. In order to get an optimal route for warehouse intelligent vehicle, routing optimization in complex global dynamic environment is studied. A new evolutionary ant colony algorithm based on RFID and knowledge-refinement is proposed. The new algorithm gets environmental information timely through the RFID technology and updates the environment map at the same time. It adopts elite ant kept, fallback, and pheromones limitation adjustment strategy. The current optimal route in population space is optimized based on experiential knowledge. The experimental results show that the new algorithm has higher convergence speed and can jump out the U-type or V-type obstacle traps easily. It can also find the global optimal route or approximate optimal one with higher probability in the complex dynamic environment. The new algorithm is proved feasible and effective by simulation results.

  20. Event-Entity-Relationship Modeling in Data Warehouse Environments

    DEFF Research Database (Denmark)

    Bækgaard, Lars

    We use the event-entity-relationship model (EVER) to illustrate the use of entity-based modeling languages for conceptual schema design in data warehouse environments. EVER is a general-purpose information modeling language that supports the specification of both general schema structures and multi......-dimensional schemes that are customized to serve specific information needs. EVER is based on an event concept that is very well suited for multi-dimensional modeling because measurement data often represent events in multi-dimensional databases...

  1. 7 CFR 1421.106 - Warehouse-stored marketing assistance loan collateral.

    Science.gov (United States)

    2010-01-01

    ... 7 Agriculture 10 2010-01-01 2010-01-01 false Warehouse-stored marketing assistance loan collateral... Marketing Assistance Loans § 1421.106 Warehouse-stored marketing assistance loan collateral. (a) A commodity may be pledged as collateral for a warehouse-stored marketing assistance loan in the quantity...

  2. Data Warehouse on the Web for Accelerator Fabrication And Maintenance

    International Nuclear Information System (INIS)

    Chan, A.; Crane, G.; Macgregor, I.; Meyer, S.

    2011-01-01

    A data warehouse grew out of the needs for a view of accelerator information from a lab-wide or project-wide standpoint (often needing off-site data access for the multi-lab PEP-II collaborators). A World Wide Web interface is used to link legacy database systems of the various labs and departments related to the PEP-II Accelerator. In this paper, we describe how links are made via the 'Formal Device Name' field(s) in the disparate databases. We also describe the functionality of a data warehouse in an accelerator environment. One can pick devices from the PEP-II Component List and find the actual components filling the functional slots, any calibration measurements, fabrication history, associated cables and modules, and operational maintenance records for the components. Information on inventory, drawings, publications, and purchasing history are also part of the PEP-II Database. A strategy of relying on a small team, and of linking existing databases rather than rebuilding systems is outlined.

  3. The importance of data warehouses for physician executives.

    Science.gov (United States)

    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.

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

    Science.gov (United States)

    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.

  5. Data warehouse til elbilers opladning og elpriser

    DEFF Research Database (Denmark)

    Andersen, Ove; Krogh, Benjamin Bjerre; Torp, Kristian

    Denne rapport præsenterer, hvordan GPS og CAN bus målinger fra opladning af elbilerne er renset for typiske fejl og gemt i et data warehouse. GPS og CAN bus målingerne er i data warehouset integreret med priserne fra det Nordeuropæiske el spotmarked Nord Pool Spot. Denne integration muliggør...... målinger om opladningen af elbiler er sammen med priserne fra el spotmarkedet indlæst i et data warehouse, som er fuldt ud implementeret. Den logiske data model for dette data warehouse præsenteres i detaljer. Håndteringen af GPS og CAN bus målingerne er generisk og kan udvides til nye data kilder...

  6. 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.

    Science.gov (United States)

    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.

  7. Expanding Post-Harvest Finance Through Warehouse Receipts and Related Instruments

    OpenAIRE

    Baldwin, Marisa; Bryla, Erin; Langenbucher, Anja

    2006-01-01

    Warehouse receipt financing and similar types of collateralized lending provide an alternative to traditional lending requirements of banks and other financiers and could provide opportunities to expand this lending in emerging economies for agricultural trade. The main contents include: what is warehouse receipt financing; what is the value of warehouse receipt financing; other collater...

  8. Minimizing Warehouse Space through Inventory Reduction at Reckitt Benckiser

    OpenAIRE

    KILINC, IZGI SELEN

    2009-01-01

    This dissertation represents a ten week internship at pharmaceutical plant of Reckitt Benckiser for the Warehouse Stock Reduction Project. Due to foreseeable growth by the factory, there is increasing pressure to utilise existing warehouse space by reducing the existing stock level by 50 %. Therefore, this study aims to identify the opportunities to reduce the physical stock held in raw/pack materials in the warehouse and save space for additional manufacturing resources. The analysis demo...

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

    Science.gov (United States)

    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.

  10. A Multidimensional Data Warehouse for Community Health Centers.

    Science.gov (United States)

    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.

  11. Chronic Condition Data Warehouse

    Data.gov (United States)

    U.S. Department of Health & Human Services — The CMS Chronic Condition Data Warehouse (CCW) provides researchers with Medicare and Medicaid beneficiary, claims, and assessment data linked by beneficiary across...

  12. Usage of data warehouse for analysing software's bugs

    Science.gov (United States)

    Živanov, Danijel; Krstićev, Danijela Boberić; Mirković, Duško

    2017-07-01

    We analysed the database schema of Bugzilla system and taking into account user's requirements for reporting, we presented a dimensional model for the data warehouse which will be used for reporting software defects. The idea proposed in this paper is not to throw away Bugzilla system because it certainly has many strengths, but to make integration of Bugzilla and the proposed data warehouse. Bugzilla would continue to be used for recording bugs that occur during the development and maintenance of software while the data warehouse would be used for storing data on bugs in an appropriate form, which is more suitable for analysis.

  13. Harnessing the Power of Scientific Data Warehouses

    Directory of Open Access Journals (Sweden)

    Kevin Deeb

    2005-04-01

    Full Text Available Data warehousing architecture should generally protect the confidentiality of data before it can be published, provide sufficient granularity to enable scientists to variously manipulate data, support robust metadata services, and define standardized spatial components. Data can then be transformed into information that would make them readily available in a common format that is easily accessible, fast, and bridges the islands of dispersed information. The benefits of the warehouse can be further enhanced by adding a spatial component so that the data can be brought to life, overlapping layers of information in a format that is easily grasped by management, enabling them to tease out trends in their areas of expertise.

  14. Operational management system for warehouse logistics of metal trading companies

    Directory of Open Access Journals (Sweden)

    Khayrullin Rustam Zinnatullovich

    2014-07-01

    Full Text Available Logistics is an effective tool in business management. Metal trading business is a part of metal promotion chain from producer to consumer. It's designed to serve as a link connecting the interests of steel producers and end users. We should account for the specifics warehousing trading. The specificity of warehouse metal trading consists primarily in the fact that the purchase is made in large lots, and the sale - in medium and small parties. Loading and unloading of cars and trucks is produced by overhead cranes. Some part of the purchased goods are shipped in relatively large lots without presales preparation. Another part of the goods undergoes presale preparation. Indoor and outdoor warehouses are used with the address storage system. In the process of prolonged storage the metal rusts. Some part of the goods is subjected to final completion (cutting, welding, coloration in service centers and small factories, usually located at the warehouse. The quantity of simultaneously shipped cars, and the quantity of the loader workers brigade can reach few dozens. So it is necessary to control the loading workers, to coordinate and monitor the performance of loading and unloading operations, to make the daily analysis of their work, to evaluate the warehouse operations as a whole. There is a need to manage and control movement of cars and trucks on the warehouse territory to reduce storage and transport costs and improve customer service. ERP-systems and WMS-systems, which are widely used, do not cover fully the functions and processes of the warehouse trading, and do not effectively manage all logistics processes. In this paper the specialized software is proposed. The software is intended for operational logistics management in warehouse metal products trading. The basic functions and processes of metal warehouse trading are described. The effectiveness indices for logistics processes and key effective indicators of warehouse trading are proposed

  15. Implemetasi Data Warehouse pada Bagian Pemasaran Perguruan Tinggi

    Directory of Open Access Journals (Sweden)

    Eka Miranda

    2012-06-01

    Full Text Available Transactional data are widely owned by higher education institutes, but the utilization of the data to support decision making has not functioned maximally. Therefore, higher education institutes need analysis tools to maximize decision making processes. Based on the issue, then data warehouse design was created to: (1 store large-amount data; (2 potentially gain new perspectives of distributed data; (3 provide reports and answers to users’ ad hoc questions; (4 perform data analysis of external conditions and transactional data from the marketing activities of universities, since marketing is one supporting field as well as the cutting edge of higher education institutes. The methods used to design and implement data warehouse are analysis of records related to the marketing activities of higher education institutes and data warehouse design. This study results in a data warehouse design and its implementation to analyze the external data and transactional data from the marketing activities of universities to support decision making.

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

    Science.gov (United States)

    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%.

  17. Warehouse receipts functioning to reduce market risk

    Directory of Open Access Journals (Sweden)

    Jovičić Daliborka

    2014-01-01

    Full Text Available Cereal production underlies the market risk to a great extent due to its elastic demand. Prices of grain have cyclic movements and significant decline in the harvest periods as a result of insufficient supply and high demand. The very specificity of agricultural production leads to the fact that agricultures are forced to sell their products at unfavorable conditions in order to resume production. The Public Warehouses System allows the agriculturers, who were previously unable to use the bank loans to finance the continuation of their production, to efficiently acquire the necessary funds, by the support of the warehouse receipts which serve as collaterals. Based on the results obtained by applying statistical methods (variance and standard deviation, as a measure of market risk under the assumption that warehouse receipts' prices will approximately follow the overall consumer price index, it can be concluded that the warehouse receipts trade will have a significant impact on risk reduction in cereal production. Positive effects can be manifested through the stabilization of prices, reduction of cyclic movements in the production of basic grains and, in the final stage, on the country's food security.

  18. 19 CFR 19.1 - Classes of customs warehouses.

    Science.gov (United States)

    2010-04-01

    ... 19 Customs Duties 1 2010-04-01 2010-04-01 false Classes of customs warehouses. 19.1 Section 19.1 Customs Duties U.S. CUSTOMS AND BORDER PROTECTION, DEPARTMENT OF HOMELAND SECURITY; DEPARTMENT OF THE TREASURY CUSTOMS WAREHOUSES, CONTAINER STATIONS AND CONTROL OF MERCHANDISE THEREIN § 19.1 Classes of...

  19. Data warehouse based decision support system in nuclear power plants

    International Nuclear Information System (INIS)

    Nadinic, B.

    2004-01-01

    Safety is an important element in business decision making processes in nuclear power plants. Information about component reliability, structures and systems, data recorded during the nuclear power plant's operation and outage periods, as well as experiences from other power plants are located in different database systems throughout the power plant. It would be possible to create a decision support system which would collect data, transform it into a standardized form and store it in a single location in a format more suitable for analyses and knowledge discovery. This single location where the data would be stored would be a data warehouse. Such data warehouse based decision support system could help make decision making processes more efficient by providing more information about business processes and predicting possible consequences of different decisions. Two main functionalities in this decision support system would be an OLAP (On Line Analytical Processing) and a data mining system. An OLAP system would enable the users to perform fast, simple and efficient multidimensional analysis of existing data and identify trends. Data mining techniques and algorithms would help discover new, previously unknown information from the data as well as hidden dependencies between various parameters. Data mining would also enable analysts to create relevant prediction models that could predict behaviour of different systems during operation and inspection results during outages. The basic characteristics and theoretical foundations of such decision support system are described and the reasons for choosing a data warehouse as the underlying structure are explained. The article analyzes obvious business benefits of such system as well as potential uses of OLAP and data mining technologies. Possible implementation methodologies and problems that may arise, especially in the field of data integration, are discussed and analyzed.(author)

  20. Data warehouse for detection of occupational diseases in OHS data.

    Science.gov (United States)

    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.

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

    Energy Technology Data Exchange (ETDEWEB)

    Bird, Lori [National Renewable Energy Lab. (NREL), Golden, CO (United States); Gagnon, Pieter [National Renewable Energy Lab. (NREL), Golden, CO (United States); Heeter, Jenny [National Renewable Energy Lab. (NREL), Golden, CO (United States)

    2016-09-01

    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.

  2. Warehouse Performance Improvement at Linfox Logistics Indonesia

    OpenAIRE

    Pratama, Riyan Galuh; Simatupang, Togar M

    2013-01-01

    The objective of this research is to provide alternative solutions for Linfox Logistics Indonesia (LLI) in facing warehouse performance issues. The main warehouse performance indicators called Customer Case Filling on Time (CCFOT) and Case Picking Productivity failed to achieve the target. Several analyses were carried out regarding current dispatch process, value stream mapping, and root causes identification. The results find that much waste occurred in dispatch process. Proposed improvemen...

  3. Deteksi Outlier Transaksi Menggunakan Visualisasi-Olap Pada Data Warehouse Perguruan Tinggi Swasta

    Directory of Open Access Journals (Sweden)

    Gusti Ngurah Mega Nata

    2016-07-01

    Full Text Available Mendeteksi outlier pada data warehouse merupakan hal penting. Data pada data warehouse sudah diagregasi dan memiliki model multidimensional. Agregasi pada data warehouse dilakukan karena data warehouse digunakan untuk menganalisis data secara cepat pada top level manajemen. Sedangkan, model data multidimensional digunakan untuk melihat data dari berbagai dimensi objek bisnis. Jadi, Mendeteksi outlier pada data warehouse membutuhkan teknik yang dapat melihat outlier pada data yang sudah diagregasi dan dapat melihat dari berbagai dimensi objek bisnis. Mendeteksi outlier pada data warehouse akan menjadi tantangan baru.        Di lain hal, Visualisasi On-line Analytic process (OLAP merupakan tugas penting dalam menyajikan informasi trend (report pada data warehouse dalam bentuk visualisasi data. Pada penelitian ini, visualisasi OLAP digunakan untuk deteksi outlier transaksi. Maka, dalam penelitian ini melakukan analisis untuk mendeteksi outlier menggunakan visualisasi-OLAP. Operasi OLAP yang digunakan yaitu operasi drill-down. Jenis visualisasi yang akan digunakan yaitu visualisasi satu dimensi, dua dimensi dan multi dimensi menggunakan tool weave desktop. Pembangunan data warehouse dilakukan secara button-up. Studi kasus dilakukan pada perguruan tinggi swasta. Kasus yang diselesaikan yaitu mendeteksi outlier transaki pembayaran mahasiswa pada setiap semester. Deteksi outlier pada visualisasi data menggunakan satu tabel dimensional lebih mudah dianalisis dari pada deteksi outlier pada visualisasi data menggunakan dua atau multi tabel dimensional. Dengan kata lain semakin banyak tabel dimensi yang terlibat semakin sulit analisis deteksi outlier yang dilakukan. Kata kunci — Deteksi Outlier,  Visualisasi OLAP, Data warehouse

  4. PEMODELAN INTEGRASI NEARLY REAL TIME DATA WAREHOUSE DENGAN SERVICE ORIENTED ARCHITECTURE UNTUK MENUNJANG SISTEM INFORMASI RETAIL

    Directory of Open Access Journals (Sweden)

    I Made Dwi Jendra Sulastra

    2015-12-01

    Full Text Available Updates the data in the data warehouse is not traditionally done every transaction. Retail information systems require the latest data and can be accessed from anywhere for business analysis needs. Therefore, in this study will be made data warehouse model that is able to produce the information near real time, and can be accessed from anywhere by end users application. Modeling design integration of nearly real time data warehouse (NRTDWH with a service oriented architecture (SOA to support the retail information system is done in two stages. In the first stage will be designed modeling NRTDWH using Change Data Capture (CDC based Transaction Log. In the second stage will be designed modeling NRTDWH integration with SOA-based web service. Tests conducted by a simulation test applications. Test applications used retail information systems, web-based web service client, desktop, and mobile. Results of this study were (1 ETL-based CDC captures changes to the source table and then store it in the database NRTDWH with the help of a scheduler; (2 Middleware web service makes 6 service based on data contained in the database NRTDWH, and each of these services accessible and implemented by the web service client.

  5. Logistics Cost Calculation of Implementation Warehouse Management System: A Case Study

    Directory of Open Access Journals (Sweden)

    Kučera Tomáš

    2017-01-01

    Full Text Available Warehouse management system can take full advantage of the resources and provide efficient warehousing services. The paper aims to show advantages and disadvantages of the warehouse management system in a chosen enterprise, which is focused on logistics services and transportation. The paper can bring new innovative approach for warehousing and presents how logistics enterprise can reduce logistics costs. This approach includes cost reduction of the establishment, operation and savings in the overall assessment of the implementation of the warehouse management system. The innovative warehouse management system will be demonstrated as the case study, which is classified as a qualitative scientific method, in the chosen logistics enterprise. The paper is based on the research of the world literature, analyses of the internal logistics processes, data and finally enterprise documents. The paper discovers costs related to personnel costs, handling equipment costs and costs for material identification. Implementation of the warehouse management system will reduce overall logistics costs of warehousing and extend the warehouse management system to other parts of the logistics chain.

  6. 10 CFR 434.503 - Prototype building procedure.

    Science.gov (United States)

    2010-01-01

    .... For mixed-use buildings the Energy Cost Budget is derived by allocating the floor space of each...) Office (Business); (c) Retail (Mercantile); (d) Warehouse (Storage); (e) School (Educational); (f) Hotel...

  7. 27 CFR 46.236 - Articles in a warehouse.

    Science.gov (United States)

    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...

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

    Science.gov (United States)

    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.

  9. A Relevance-Extended Multi-dimensional Model for a Data Warehouse Contextualized with Documents

    DEFF Research Database (Denmark)

    Perez, Juan Manuel; Pedersen, Torben Bach; Berlanga, Rafael

    2005-01-01

    Current data warehouse and OLAP technologies can be applied to analyze the structured data that companies store in their databases. The circumstances that describe the context associated with these data can be found in other internal and external sources of documents. In this paper we propose...... to combine the traditional corporate data warehouse with a document warehouse, resulting in a contextualized warehouse. Thus, contextualized warehouses keep a historical record of the facts and their contexts as described by the documents. In this framework, the user selects an analysis context which...

  10. Health Claims Data Warehouse (HCDW)

    Data.gov (United States)

    Office of Personnel Management — The Health Claims Data Warehouse (HCDW) will receive and analyze health claims data to support management and administrative purposes. The Federal Employee Health...

  11. Optimized Database of Higher Education Management Using Data Warehouse

    Directory of Open Access Journals (Sweden)

    Spits Warnars

    2010-04-01

    Full Text Available The emergence of new higher education institutions has created the competition in higher education market, and data warehouse can be used as an effective technology tools for increasing competitiveness in the higher education market. Data warehouse produce reliable reports for the institution’s high-level management in short time for faster and better decision making, not only on increasing the admission number of students, but also on the possibility to find extraordinary, unconventional funds for the institution. Efficiency comparison was based on length and amount of processed records, total processed byte, amount of processed tables, time to run query and produced record on OLTP database and data warehouse. Efficiency percentages was measured by the formula for percentage increasing and the average efficiency percentage of 461.801,04% shows that using data warehouse is more powerful and efficient rather than using OLTP database. Data warehouse was modeled based on hypercube which is created by limited high demand reports which usually used by high level management. In every table of fact and dimension fields will be inserted which represent the loading constructive merge where the ETL (Extraction, Transformation and Loading process is run based on the old and new files.

  12. Irregular Shaped Building Design Optimization with Building Information Modelling

    Directory of Open Access Journals (Sweden)

    Lee Xia Sheng

    2016-01-01

    Full Text Available This research is to recognise the function of Building Information Modelling (BIM in design optimization for irregular shaped buildings. The study focuses on a conceptual irregular shaped “twisted” building design similar to some existing sculpture-like architectures. Form and function are the two most important aspects of new buildings, which are becoming more sophisticated as parts of equally sophisticated “systems” that we are living in. Nowadays, it is common to have irregular shaped or sculpture-like buildings which are very different when compared to regular buildings. Construction industry stakeholders are facing stiff challenges in many aspects such as buildability, cost effectiveness, delivery time and facility management when dealing with irregular shaped building projects. Building Information Modelling (BIM is being utilized to enable architects, engineers and constructors to gain improved visualization for irregular shaped buildings; this has a purpose of identifying critical issues before initiating physical construction work. In this study, three variations of design options differing in rotating angle: 30 degrees, 60 degrees and 90 degrees are created to conduct quantifiable comparisons. Discussions are focused on three major aspects including structural planning, usable building space, and structural constructability. This research concludes that Building Information Modelling is instrumental in facilitating design optimization for irregular shaped building. In the process of comparing different design variations, instead of just giving “yes or no” type of response, stakeholders can now easily visualize, evaluate and decide to achieve the right balance based on their own criteria. Therefore, construction project stakeholders are empowered with superior evaluation and decision making capability.

  13. DATA WAREHOUSES SECURITY IMPLEMENTATION

    Directory of Open Access Journals (Sweden)

    Burtescu Emil

    2009-05-01

    Full Text Available Data warehouses were initially implemented and developed by the big firms and they were used for working out the managerial problems and for making decisions. Later on, because of the economic tendencies and of the technological progress, the data warehou

  14. 78 FR 77662 - Notice of Availability (NOA) for General Purpose Warehouse and Information Technology Center...

    Science.gov (United States)

    2013-12-24

    ...,500 square feet and would include a 360,000 square feet active bulk warehouse and a 5,500 square feet... parking lot (approximately 295,000 square feet) and new laydown area (approximately 240,000 square feet.... The laydown area would be constructed in an unimproved, irregularly shaped open lot that is...

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

    Science.gov (United States)

    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…

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

    Science.gov (United States)

    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

  17. Virtual building environments (VBE) - Applying information modeling to buildings

    Energy Technology Data Exchange (ETDEWEB)

    Bazjanac, Vladimir

    2004-06-21

    A Virtual Building Environment (VBE) is a ''place'' where building industry project staffs can get help in creating Building Information Models (BIM) and in the use of virtual buildings. It consists of a group of industry software that is operated by industry experts who are also experts in the use of that software. The purpose of a VBE is to facilitate expert use of appropriate software applications in conjunction with each other to efficiently support multidisciplinary work. This paper defines BIM and virtual buildings, and describes VBE objectives, set-up and characteristics of operation. It informs about the VBE Initiative and the benefits from a couple of early VBE projects.

  18. A PROPOSAL OF DATA QUALITY FOR DATA WAREHOUSES ENVIRONMENT

    Directory of Open Access Journals (Sweden)

    Leo Willyanto Santoso

    2006-01-01

    Full Text Available The quality of the data provided is critical to the success of data warehousing initiatives. There is strong evidence that many organisations have significant data quality problems, and that these have substantial social and economic impacts. This paper describes a study which explores modeling of the dynamic parts of the data warehouse. This metamodel enables data warehouse management, design and evolution based on a high level conceptual perspective, which can be linked to the actual structural and physical aspects of the data warehouse architecture. Moreover, this metamodel is capable of modeling complex activities, their interrelationships, the relationship of activities with data sources and execution details.

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

    Science.gov (United States)

    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. Quality assessment of digital annotated ECG data from clinical trials by the FDA ECG Warehouse.

    Science.gov (United States)

    Sarapa, Nenad

    2007-09-01

    The FDA mandates that digital electrocardiograms (ECGs) from 'thorough' QTc trials be submitted into the ECG Warehouse in Health Level 7 extended markup language format with annotated onset and offset points of waveforms. The FDA did not disclose the exact Warehouse metrics and minimal acceptable quality standards. The author describes the Warehouse scoring algorithms and metrics used by FDA, points out ways to improve FDA review and suggests Warehouse benefits for pharmaceutical sponsors. The Warehouse ranks individual ECGs according to their score for each quality metric and produces histogram distributions with Warehouse-specific thresholds that identify ECGs of questionable quality. Automatic Warehouse algorithms assess the quality of QT annotation and duration of manual QT measurement by the central ECG laboratory.

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

    Science.gov (United States)

    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…

  2. The Data Warehouse in Service Oriented Architectures and Network Centric Warfare

    National Research Council Canada - National Science Library

    Lenahan, Jack

    2005-01-01

    ... at all policy and command levels to support superior decision making? Analyzing the anticipated massive amount of GIG data will almost certainly require data warehouses and federated data warehouses...

  3. Optimal time policy for deteriorating items of two-warehouse

    Indian Academy of Sciences (India)

    ... goods in which the first is rented warehouse and the second is own warehouse that deteriorates with two different rates. The aim of this study is to determine the optimal order quantity to maximize the profit of the projected model. Finally, some numerical examples and sensitivity analysis of parameters are made to validate ...

  4. 19 CFR 19.14 - Materials for use in manufacturing warehouse.

    Science.gov (United States)

    2010-04-01

    ... warehouse is located under an immediate transportation without appraisement entry or warehouse withdrawal for transportation, whichever is applicable. (b) Bond required. Before the transfer of the merchandise... the manufacture of articles as authorized by law. Port Director (d) Domestic spirits and wines. For...

  5. 27 CFR 28.286 - Receipt in customs bonded warehouse.

    Science.gov (United States)

    2010-04-01

    ... 27 Alcohol, Tobacco Products and Firearms 1 2010-04-01 2010-04-01 false Receipt in customs bonded... in Customs Bonded Warehouse § 28.286 Receipt in customs bonded warehouse. On receipt of the distilled spirits or wine and the related TTB Form 5100.11 or 5110.30 as the case may be, the customs officer in...

  6. Radon in large buildings

    International Nuclear Information System (INIS)

    Wilson, D.L.; Dudney, C.S.; Gammage, R.B.

    1993-01-01

    Over the past several years, considerable research has been devoted by the U.S. Environmental Protection Agency (USEPA) and others to develop radon sampling protocols for single family residences and schools. However, very little research has been performed on measuring radon in the work place. To evaluate possible sampling protocols, 833 buildings throughout the United States were selected for extensive radon testing. The buildings tested (warehouses, production plants and office buildings) were representative of commercial buildings across the country both in design, size and use. Based on the results, preliminary radon sampling protocols for the work place have been developed. (orig.). (5 refs., 3 figs.)

  7. Criticality calculation of the nuclear material warehouse of the ININ

    International Nuclear Information System (INIS)

    Garcia, T.; Angeles, A.; Flores C, J.

    2013-10-01

    In this work the conditions of nuclear safety were determined as much in normal conditions as in the accident event of the nuclear fuel warehouse of the reactor TRIGA Mark III of the Instituto Nacional de Investigaciones Nucleares (ININ). The warehouse contains standard fuel elements Leu - 8.5/20, a control rod with follower of standard fuel type Leu - 8.5/20, fuel elements Leu - 30/20, and the reactor fuel Sur-100. To check the subcritical state of the warehouse the effective multiplication factor (keff) was calculated. The keff calculation was carried out with the code MCNPX. (Author)

  8. COMPLEMENTARITY OF HISTORIC BUILDING INFORMATION MODELLING AND GEOGRAPHIC INFORMATION SYSTEMS

    Directory of Open Access Journals (Sweden)

    X. Yang

    2016-06-01

    Full Text Available In this paper, we discuss the potential of integrating both semantically rich models from Building Information Modelling (BIM and Geographical Information Systems (GIS to build the detailed 3D historic model. BIM contributes to the creation of a digital representation having all physical and functional building characteristics in several dimensions, as e.g. XYZ (3D, time and non-architectural information that are necessary for construction and management of buildings. GIS has potential in handling and managing spatial data especially exploring spatial relationships and is widely used in urban modelling. However, when considering heritage modelling, the specificity of irregular historical components makes it problematic to create the enriched model according to its complex architectural elements obtained from point clouds. Therefore, some open issues limiting the historic building 3D modelling will be discussed in this paper: how to deal with the complex elements composing historic buildings in BIM and GIS environment, how to build the enriched historic model, and why to construct different levels of details? By solving these problems, conceptualization, documentation and analysis of enriched Historic Building Information Modelling are developed and compared to traditional 3D models aimed primarily for visualization.

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

    Science.gov (United States)

    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.

  10. Design and Control of Warehouse Order Picking: a literature review

    NARCIS (Netherlands)

    M.B.M. de Koster (René); T. Le-Duc (Tho); K.J. Roodbergen (Kees-Jan)

    2006-01-01

    textabstractOrder picking has long been identified as the most labour-intensive and costly activity for almost every warehouse; the cost of order picking is estimated to be as much as 55% of the total warehouse operating expense. Any underperformance in order picking can lead to unsatisfactory

  11. Building information modelling (BIM)

    CSIR Research Space (South Africa)

    Conradie, Dirk CU

    2009-02-01

    Full Text Available The concept of a Building Information Model (BIM) also known as a Building Product Model (BPM) is nothing new. A short article on BIM will never cover the entire filed, because it is a particularly complex filed that is recently beginning to receive...

  12. A Performance Evaluation of Online Warehouse Update Algorithms

    Science.gov (United States)

    1998-01-01

    able to present a fully consistent ver- sion of the warehouse to the queries while the warehouse is being updated. Multiversioning has been used...LST97]). Special- ized multiversion access structures have also been proposed ([LS89, LS90, dBS96, BC97, VV97, MOPW98]) In the context of OLTP systems...collection processes. 2.1 Multiversioning MVNL supports multiple versions by using Time Travel ([Sto87]). Each row has two extra at- tributes, Tmin

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

    Directory of Open Access Journals (Sweden)

    Intikhab Alam

    Full Text Available 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.

  14. A Framework for a Clinical Reasoning Knowledge Warehouse

    DEFF Research Database (Denmark)

    Vilstrup Pedersen, Klaus; Boye, Niels

    2004-01-01

    In many areas of the medical domain, the decision process i.e. reasoning, involving health care professionals is distributed, cooperative and complex. This paper presents a framework for a Clinical Reasoning Knowledge Warehouse that combines theories and models from Artificial Intelligence...... is stored and made accessible when relevant to the reasoning context and the specific patient case. Furthermore, the information structure supports the creation of new generalized knowledge using data mining tools. The patient case is divided into an observation level and an opinion level. At the opinion...

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

    Science.gov (United States)

    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.

  16. Financing agribusiness: Insurance coverage as protection against credit risk of warehouse receipt collateral

    Directory of Open Access Journals (Sweden)

    Jovičić Daliborka

    2017-01-01

    Full Text Available Financing agribusiness by warehouse receipts allows the agricultural producers to obtain working capital on the basis of agricultural products stored in licensed warehouses, as collateral. The implementation of the system of licensed warehouses and issuance of warehouse receipts as collateral for obtaining a bank loan is supported by the European Bank for Reconstruction and Development and it has had positive results in the neighbouring countries. The precondition for financing this project was to establish a Compensation Fund for providing insurance coverage for licensed warehouses against professional liability. However, in the lack of an adequate legal framework, the operational risk is possible to occur. Bearing in mind that Serbia has a tradition in insurance industry and a number of operating insurance companies, the issue is that of the economic benefit and the method of insuring against this risk. The paper will present a detailed analysis of the operation of the Fund, capital requirement, solvency margin and a critical review of the Law on Public Warehouses which regulates the rights and obligations of the Compensation Fund in the case of loss occurrence.

  17. Uncovering Information Hidden in Web Archives: Glimpse at Web Analysis Building on Data Warehouses; Towards Continuous Web Archiving: First Results and an Agenda for the Future; The Open Video Digital Library; After Migration to an Electronic Journal Collection: Impact on Faculty and Doctoral Students; Who Is Reading On-Line Education Journals? Why? And What Are They Reading?; Report on eLibrary@UBC4: Research, Collaboration and the Digital Library - Visions for 2010.

    Science.gov (United States)

    Rauber, Andreas; Bruckner, Robert M.; Aschenbrenner, Andreas; Witvoet, Oliver; Kaiser, Max; Masanes, Julien; Marchionini, Gary; Geisler, Gary; King, Donald W.; Montgomery, Carol Hansen; Rudner, Lawrence M.; Gellmann, Jennifer S.; Miller-Whitehead, Marie; Iverson, Lee

    2002-01-01

    These six articles discuss Web archives and Web analysis building on data warehouses; international efforts at continuous Web archiving; the Open Video Digital Library; electronic journal collections in academic libraries; online education journals; and an electronic library symposium at the University of British Columbia. (LRW)

  18. Identifying and Prioritizing Cleaner Production Strategies in Raw Materials’ Warehouse of Yazdbaf Textile Company in 2015

    Directory of Open Access Journals (Sweden)

    Mohammad Taghi Ghaneian

    2017-03-01

    Full Text Available Introduction: Cleaner productions in textile industry is achieved by reducing water and chemicals’ consumption, saving energy, reducing production of air pollution and solid wastes, reducing toxicity and noise pollution through many solutions. The purpose of the present research was to apply Strengths, Weaknesses, Opportunities, Threats (SWOT and Quality Systems Planning Matrix (QSPM techniques in identifying and prioritizing production in raw materials’ warehouse of Yazdbaf Textile Factory. Materials and Methods: In this research, effective internal and external factors in cleaner production were identified by providing the required information through field visit and interview with industry managers and supervisors of raw materials’ warehouse. Finally, To form matrix of internal and external factors 17 important internal factors and 7 important external factors were identified and selected respectively.Then, QSPM matrix was formed to determine the attractiveness and priority of the selected strategies by using results of internal and external factors and SWOT matrixes. Results: According to the results, the total score of raw materials’ warehouse in Internal Factor Evaluation (IFE matrix is equal to 2.90 which shows the good situation of warehouse than the internal factors. However, the total score in External Factor Evaluation (EFE matrix is 2.14 and indicates the relative weak situation of warehouse than the external factors. Conclusion: Based on the obtained results, continuity, monitor, and improvement of the general plan of qualitative control (QC of raw materials and laboratory as well as more emphasis on quality indexes according to its importance in the production processes were selected as the most important strategies. 

  19. A clinical data warehouse-based process for refining medication orders alerts.

    Science.gov (United States)

    Boussadi, Abdelali; Caruba, Thibaut; Zapletal, Eric; Sabatier, Brigitte; Durieux, Pierre; Degoulet, Patrice

    2012-01-01

    The objective of this case report is to evaluate the use of a clinical data warehouse coupled with a clinical information system to test and refine alerts for medication orders control before they were fully implemented. A clinical decision rule refinement process was used to assess alerts. The criteria assessed were the frequencies of alerts for initial prescriptions of 10 medications whose dosage levels depend on renal function thresholds. In the first iteration of the process, the frequency of the 'exceeds maximum daily dose' alerts was 7.10% (617/8692), while that of the 'under dose' alerts was 3.14% (273/8692). Indicators were presented to the experts. During the different iterations of the process, 45 (16.07%) decision rules were removed, 105 (37.5%) were changed and 136 new rules were introduced. Extensive retrospective analysis of physicians' medication orders stored in a clinical data warehouse facilitates alert optimization toward the goal of maximizing the safety of the patient and minimizing overridden alerts.

  20. 27 CFR 28.28 - Withdrawal of wine and distilled spirits from customs bonded warehouses.

    Science.gov (United States)

    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...

  1. Geminivirus data warehouse: a database enriched with machine learning approaches.

    Science.gov (United States)

    Silva, Jose Cleydson F; Carvalho, Thales F M; Basso, Marcos F; Deguchi, Michihito; Pereira, Welison A; Sobrinho, Roberto R; Vidigal, Pedro M P; Brustolini, Otávio J B; Silva, Fabyano F; Dal-Bianco, Maximiller; Fontes, Renildes L F; Santos, Anésia A; Zerbini, Francisco Murilo; Cerqueira, Fabio R; Fontes, Elizabeth P B

    2017-05-05

    The Geminiviridae family encompasses a group of single-stranded DNA viruses with twinned and quasi-isometric virions, which infect a wide range of dicotyledonous and monocotyledonous plants and are responsible for significant economic losses worldwide. Geminiviruses are divided into nine genera, according to their insect vector, host range, genome organization, and phylogeny reconstruction. Using rolling-circle amplification approaches along with high-throughput sequencing technologies, thousands of full-length geminivirus and satellite genome sequences were amplified and have become available in public databases. As a consequence, many important challenges have emerged, namely, how to classify, store, and analyze massive datasets as well as how to extract information or new knowledge. Data mining approaches, mainly supported by machine learning (ML) techniques, are a natural means for high-throughput data analysis in the context of genomics, transcriptomics, proteomics, and metabolomics. Here, we describe the development of a data warehouse enriched with ML approaches, designated geminivirus.org. We implemented search modules, bioinformatics tools, and ML methods to retrieve high precision information, demarcate species, and create classifiers for genera and open reading frames (ORFs) of geminivirus genomes. The use of data mining techniques such as ETL (Extract, Transform, Load) to feed our database, as well as algorithms based on machine learning for knowledge extraction, allowed us to obtain a database with quality data and suitable tools for bioinformatics analysis. The Geminivirus Data Warehouse (geminivirus.org) offers a simple and user-friendly environment for information retrieval and knowledge discovery related to geminiviruses.

  2. A Framework for Designing a Healthcare Outcome Data Warehouse

    Science.gov (United States)

    Parmanto, Bambang; Scotch, Matthew; Ahmad, Sjarif

    2005-01-01

    Many healthcare processes involve a series of patient visits or a series of outcomes. The modeling of outcomes associated with these types of healthcare processes is different from and not as well understood as the modeling of standard industry environments. For this reason, the typical multidimensional data warehouse designs that are frequently seen in other industries are often not a good match for data obtained from healthcare processes. Dimensional modeling is a data warehouse design technique that uses a data structure similar to the easily understood entity-relationship (ER) model but is sophisticated in that it supports high-performance data access. In the context of rehabilitation services, we implemented a slight variation of the dimensional modeling technique to make a data warehouse more appropriate for healthcare. One of the key aspects of designing a healthcare data warehouse is finding the right grain (scope) for different levels of analysis. We propose three levels of grain that enable the analysis of healthcare outcomes from highly summarized reports on episodes of care to fine-grained studies of progress from one treatment visit to the next. These grains allow the database to support multiple levels of analysis, which is imperative for healthcare decision making. PMID:18066371

  3. A framework for designing a healthcare outcome data warehouse.

    Science.gov (United States)

    Parmanto, Bambang; Scotch, Matthew; Ahmad, Sjarif

    2005-09-06

    Many healthcare processes involve a series of patient visits or a series of outcomes. The modeling of outcomes associated with these types of healthcare processes is different from and not as well understood as the modeling of standard industry environments. For this reason, the typical multidimensional data warehouse designs that are frequently seen in other industries are often not a good match for data obtained from healthcare processes. Dimensional modeling is a data warehouse design technique that uses a data structure similar to the easily understood entity-relationship (ER) model but is sophisticated in that it supports high-performance data access. In the context of rehabilitation services, we implemented a slight variation of the dimensional modeling technique to make a data warehouse more appropriate for healthcare. One of the key aspects of designing a healthcare data warehouse is finding the right grain (scope) for different levels of analysis. We propose three levels of grain that enable the analysis of healthcare outcomes from highly summarized reports on episodes of care to fine-grained studies of progress from one treatment visit to the next. These grains allow the database to support multiple levels of analysis, which is imperative for healthcare decision making.

  4. Mastering data warehouse design relational and dimensional techniques

    CERN Document Server

    Imhoff, Claudia; Geiger, Jonathan G

    2003-01-01

    A cutting-edge response to Ralph Kimball''s challenge to the data warehouse community that answers some tough questions about the effectiveness of the relational approach to data warehousingWritten by one of the best-known exponents of the Bill Inmon approach to data warehousingAddresses head-on the tough issues raised by Kimball and explains how to choose the best modeling technique for solving common data warehouse design problemsWeighs the pros and cons of relational vs. dimensional modeling techniquesFocuses on tough modeling problems, including creating and maintaining keys and modeling c

  5. Development of a Data Warehouse for Riverine and Coastal Flood Risk Management

    Science.gov (United States)

    McGrath, H.; Stefanakis, E.; Nastev, M.

    2014-11-01

    In New Brunswick flooding occurs typically during the spring freshet, though, in recent years, midwinter thaws have led to flooding in January or February. Municipalities are therefore facing a pressing need to perform risk assessments in order to identify communities at risk of flooding. In addition to the identification of communities at risk, quantitative measures of potential structural damage and societal losses are necessary for these identified communities. Furthermore, tools which allow for analysis and processing of possible mitigation plans are needed. Natural Resources Canada is in the process of adapting Hazus-MH to respond to the need for risk management. This requires extensive data from a variety of municipal, provincial, and national agencies in order to provide valid estimates. The aim is to establish a data warehouse to store relevant flood prediction data which may be accessed thru Hazus. Additionally, this data warehouse will contain tools for On-Line Analytical Processing (OLAP) and knowledge discovery to quantitatively determine areas at risk and discover unexpected dependencies between datasets. The third application of the data warehouse is to provide data for online visualization capabilities: web-based thematic maps of Hazus results, historical flood visualizations, and mitigation tools; thus making flood hazard information and tools more accessible to emergency responders, planners, and residents. This paper represents the first step of the process: locating and collecting the appropriate datasets.

  6. 7 CFR 1427.16 - Movement and protection of warehouse-stored cotton.

    Science.gov (United States)

    2010-01-01

    ... 7 Agriculture 10 2010-01-01 2010-01-01 false Movement and protection of warehouse-stored cotton. 1427.16 Section 1427.16 Agriculture Regulations of the Department of Agriculture (Continued) COMMODITY... Cotton Loan and Loan Deficiency Payments § 1427.16 Movement and protection of warehouse-stored cotton. (a...

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

    Science.gov (United States)

    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…

  8. Investigation Into Informational Compatibility Of Building Information Modelling And Building Performance Analysis Software Solutions

    OpenAIRE

    Hyun, S.; Marjanovic-Halburd, L.; Raslan, R.

    2015-01-01

    There are significant opportunities for Building Information Modelling (BIM) to address issues related to sustainable and energy efficient building design. While the potential benefits associated with the integration of BIM and BPA (Building Performance Analysis) have been recognised, its specifications and formats remain in their early infancy and often fail to live up to the promise of seamless interoperability at various stages of design process. This paper conducts a case study to investi...

  9. Aspects of Data Warehouse Technologies for Complex Web Data

    DEFF Research Database (Denmark)

    Thomsen, Christian

    This thesis is about aspects of specification and development of data warehouse technologies for complex web data. Today, large amounts of data exist in different web resources and in different formats. But it is often hard to analyze and query the often big and complex data or data about the data...... (i.e., metadata). It is therefore interesting to apply Data Warehouse (DW) technology to the data. But to apply DW technology to complex web data is not straightforward and the DW community faces new and exciting challenges. This thesis considers some of these challenges. The work leading...... to this thesis has primarily been done in relation to the project European Internet Accessibility Observatory (EIAO) where a data warehouse for accessibility data (roughly data about how usable web resources are for disabled users) has been specified and developed. But the results of the thesis can also...

  10. 27 CFR 28.27 - Entry of wine into customs bonded warehouses.

    Science.gov (United States)

    2010-04-01

    ... 27 Alcohol, Tobacco Products and Firearms 1 2010-04-01 2010-04-01 false Entry of wine into customs... TRADE BUREAU, DEPARTMENT OF THE TREASURY LIQUORS EXPORTATION OF ALCOHOL Miscellaneous Provisions Customs Bonded Warehouses § 28.27 Entry of wine into customs bonded warehouses. Upon filing of the application or...

  11. Solar energy in buildings solved by building information modeling

    Science.gov (United States)

    Chudikova, B.; Faltejsek, M.

    2018-03-01

    Building lead us to use renewable energy sources for all types of buildings. The use of solar energy is the alternatives that can be applied in a good ratio of space, price, and resultant benefits. Building Information Modelling is a modern and effective way of dealing with buildings with regard to all aspects of the life cycle. The basis is careful planning and simulation in the pre-investment phase, where it is possible to determine the effective result and influence the lifetime of the building and the cost of its operation. By simulating, analysing and insert a building model into its future environment where climate conditions and surrounding buildings play a role, it is possible to predict the usability of the solar energy and establish an ideal model. Solar systems also very affect the internal layout of buildings. Pre-investment phase analysis, with a view to future aspects, will ensure that the resulting building will be both low-energy and environmentally friendly.

  12. A Novel Optimization Method on Logistics Operation for Warehouse & Port Enterprises Based on Game Theory

    Directory of Open Access Journals (Sweden)

    Junyang Li

    2013-09-01

    Full Text Available Purpose: The following investigation aims to deal with the competitive relationship among different warehouses & ports in the same company. Design/methodology/approach: In this paper, Game Theory is used in carrying out the optimization model. Genetic Algorithm is used to solve the model. Findings: Unnecessary competition will rise up if there is little internal communication among different warehouses & ports in one company. This paper carries out a novel optimization method on warehouse & port logistics operation model. Originality/value: Warehouse logistics business is a combination of warehousing services and terminal services which is provided by port logistics through the existing port infrastructure on the basis of a port. The newly proposed method can help to optimize logistics operation model for warehouse & port enterprises effectively. We set Sinotrans Guangdong Company as an example to illustrate the newly proposed method. Finally, according to the case study, this paper gives some responses and suggestions on logistics operation in Sinotrans Guangdong warehouse & port for its future development.

  13. Using Electronic Health Records to Build an Ophthalmologic Data Warehouse and Visualize Patients' Data.

    Science.gov (United States)

    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.

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

    NARCIS (Netherlands)

    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

  15. How to use Building Information Systems for a transition towards Sustainable Building Operation

    NARCIS (Netherlands)

    Itard, L.C.M.; Joosstens, F; Heiselberg, Per Kvols

    2016-01-01

    BIM Building Information Model or Modelling connects many different information
    systems from various actors during the building construction process with each
    other in one easily accessible and understandable model. BIM assures an effective
    and efficient building construction process by

  16. 27 CFR 28.244a - Shipment to a customs bonded warehouse.

    Science.gov (United States)

    2010-04-01

    ... 27 Alcohol, Tobacco Products and Firearms 1 2010-04-01 2010-04-01 false Shipment to a customs... Export Consignment § 28.244a Shipment to a customs bonded warehouse. Distilled spirits and wine withdrawn for shipment to a customs bonded warehouse shall be consigned in care of the customs officer in charge...

  17. Securing Document Warehouses against Brute Force Query Attacks

    Directory of Open Access Journals (Sweden)

    Sergey Vladimirovich Zapechnikov

    2017-04-01

    Full Text Available The paper presents the scheme of data management and protocols for securing document collection against adversary users who try to abuse their access rights to find out the full content of confidential documents. The configuration of secure document retrieval system is described and a suite of protocols among the clients, warehouse server, audit server and database management server is specified. The scheme makes it infeasible for clients to establish correspondence between the documents relevant to different search queries until a moderator won’t give access to these documents. The proposed solution allows ensuring higher security level for document warehouses.

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

    Science.gov (United States)

    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.

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

    Science.gov (United States)

    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.

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

    Science.gov (United States)

    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

  1. PERANCANGAN DATA WAREHOUSE UNTUK MENDUKUNG PERENCANAAN PEMASARAN PERGURUAN TINGGI

    Directory of Open Access Journals (Sweden)

    agung prasetyo

    2017-02-01

    Full Text Available Salah satu indikasi perguruan tinggi yang besar adalah dilihat dari jumlah mahasiswa di perguruan tinggi tersebut. Karenanya, mahasiswa baru merupakan salah satu sumber daya yang menentukan berjalannya sebuah perguruan tinggi. Setiap tahunnya STMIK AMIKOM Purwokerto selalu melakukan penerimaan calon mahasiswa. Data mahasiswa baru tersebut sangat berguna bagi bagian pemasaran sebagai informasi untuk evaluasi kegiatan pemasaran berikutnya. Dengan dibangunnya data warehouse dan aplikasi OLAP dengan menggunakan aplikasi Pentaho Data Integration/Kettle sebagai perangkat ETL dan Pentaho Workbench yang merupakan Online Analytical Processing (OLAP sebagai pengolah database, manajemen di STMIK AMIKOM Purwokerto bisa mengambil beberapa informasi misalnya; banyak jumlah pendaftar per-periode/gelombang, per/asal sekolahnya, per/asal sumber informasi yang diperoleh calon mahasiswa baru, serta tren minat terhadap jurusan yang dipilih oleh calon mahasiswa baru. Data warehouse mampu menganalisis data transaksi, mampu memberikan laporan yang dinamis dan mampu memberikan informasi dalam berbagai dimensi tentang penerimaan mahasiswa baru di STMIK AMIKOM Purwokerto.Kata Kunci: Data Warehouse, OLAP, Pentaho, Penerimaan Calon Mahasiswa.

  2. 27 CFR 24.126 - Change in proprietorship involving a bonded wine warehouse.

    Science.gov (United States)

    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...

  3. Ontology-Based Big Dimension Modeling in Data Warehouse Schema Design

    DEFF Research Database (Denmark)

    Iftikhar, Nadeem

    2013-01-01

    During data warehouse schema design, designers often encounter how to model big dimensions that typically contain a large number of attributes and records. To investigate effective approaches for modeling big dimensions is necessary in order to achieve better query performance, with respect...... partitioning, vertical partitioning and their hybrid. We formalize the design methods and propose an algorithm that describes the modeling process from an OWL ontology to a data warehouse schema. In addition, this paper also presents an effective ontology-based tool to automate the modeling process. The tool...... can automatically generate the data warehouse schema from the ontology of describing the terms and business semantics for the big dimension. In case of any change in the requirements, we only need to modify the ontology, and re-generate the schema using the tool. This paper also evaluates the proposed...

  4. FaceWarehouse: a 3D facial expression database for visual computing.

    Science.gov (United States)

    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.

  5. Examination of Routine Practice Patterns in the Hospital Information Data Warehouse: Use of OLAP and Rough Set Analysis with Clinician Feedback

    Science.gov (United States)

    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.

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

    Science.gov (United States)

    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.

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

    Science.gov (United States)

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

    2011-03-01

    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. 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. 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 data seem to be essential to adverse drug reaction surveillance in future.

  8. WAREHOUSE PERFORMANCE MEASUREMENT - A CASE STUDY

    Directory of Open Access Journals (Sweden)

    Crisan Emil

    2009-05-01

    Full Text Available Companies could gain cost advantage using their logistics area of the business. Warehouse management is a possible source of cost improvements from logistics that companies could use during this economic crisis. The goal of this article is to expose a few

  9. Optimizing Energy Consumption in Building Designs Using Building Information Model (BIM

    Directory of Open Access Journals (Sweden)

    Egwunatum Samuel

    2016-09-01

    Full Text Available Given the ability of a Building Information Model (BIM to serve as a multi-disciplinary data repository, this paper seeks to explore and exploit the sustainability value of Building Information Modelling/models in delivering buildings that require less energy for their operation, emit less CO2 and at the same time provide a comfortable living environment for their occupants. This objective was achieved by a critical and extensive review of the literature covering: (1 building energy consumption, (2 building energy performance and analysis, and (3 building information modeling and energy assessment. The literature cited in this paper showed that linking an energy analysis tool with a BIM model helped project design teams to predict and create optimized energy consumption. To validate this finding, an in-depth analysis was carried out on a completed BIM integrated construction project using the Arboleda Project in the Dominican Republic. The findings showed that the BIM-based energy analysis helped the design team achieve the world’s first 103% positive energy building. From the research findings, the paper concludes that linking an energy analysis tool with a BIM model helps to expedite the energy analysis process, provide more detailed and accurate results as well as deliver energy-efficient buildings. The study further recommends that the adoption of a level 2 BIM and the integration of BIM in energy optimization analyse should be made compulsory for all projects irrespective of the method of procurement (government-funded or otherwise or its size.

  10. Improving warehouse responsiveness by job priority management : A European distribution centre field study

    NARCIS (Netherlands)

    T.Y. Kim (Thai Young)

    2018-01-01

    textabstractWarehouses employ order cut-off times to ensure sufficient time for fulfilment. To satisfy higher consumer expectations, these cut-off times are gradually postponed to improve order responsiveness. Warehouses therefore have to allocate jobs more efficiently to meet compressed response

  11. Two warehouse inventory model for deteriorating item with exponential demand rate and permissible delay in payment

    Directory of Open Access Journals (Sweden)

    Kaliraman Naresh Kumar

    2017-01-01

    Full Text Available A two warehouse inventory model for deteriorating items is considered with exponential demand rate and permissible delay in payment. Shortage is not allowed and deterioration rate is constant. In the model, one warehouse is rented and the other is owned. The rented warehouse is provided with better facility for the stock than the owned warehouse, but is charged more. The objective of this model is to find the best replenishment policies for minimizing the total appropriate inventory cost. A numerical illustration and sensitivity analysis is provided.

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

    Science.gov (United States)

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

    2015-01-01

    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. 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. 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. 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. 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 in order to capture data with better accuracy.

  13. Characterization of commercial building appliances. Final report

    Energy Technology Data Exchange (ETDEWEB)

    Patel, R.F.; Teagan, P.W.; Dieckmann, J.T.

    1993-08-01

    This study focuses on ``other`` end-uses category. The purpose of this study was to determine the relative importance of energy end-use functions other than HVAC and lighting for commercial buildings, and to identify general avenues and approaches for energy use reduction. Specific energy consuming technologies addressed include non-HVAC and lighting technologies in commercial buildings with significant energy use to warrant detailed analyses. The end-uses include office equipment, refrigeration, water heating, cooking, vending machines, water coolers, laundry equipment and electronics other than office equipment. The building types include offices, retail, restaurants, schools, hospitals, hotels/motels, grocery stores, and warehouses.

  14. To the question about the layout of the racks in the warehouse

    Directory of Open Access Journals (Sweden)

    Ilesaliev D.I.

    2017-03-01

    Full Text Available Warehouses, which are located at points of transshipment of cargo from one type of transport on the other, play a sig-nificant role in the transformation of cargo to further the most effective transportation of goods. The location of racks and longitudinal passages are important in the work of transhipment warehouse. Typically, racks and longitudinal pas-sages are perpendicular to each other, the article proposes a radical change with the "euclidean advantage". This is an-other way of designing warehouses for efficiency overload packaged cargo in the supply chain. Purpose is to reduce the mileage for one cycle of the loader from loading and unloading areas to storage areas.

  15. Development of global data warehouse for beam diagnostics at SSRF

    International Nuclear Information System (INIS)

    Lai Longwei; Leng Yongbin; Yan Yingbing; Chen Zhichu

    2015-01-01

    The beam diagnostic system is adequate during the daily operation and machine study at the Shanghai Synchrotron Radiation Facility (SSRF). Without the effective event detecting mechanism, it is difficult to dump and analyze abnormal phenomena such as the global orbital disturbance, the malfunction of the BPM and the noise of the DCCT. The global beam diagnostic data warehouse was built in order to monitor the status of the accelerator and the beam instruments. The data warehouse was designed as a Soft IOC hosted on an independent server. Once abnormal phenomena happen it will be triggered and will store the relevant data for further analysis. The results show that the data warehouse can detect abnormal phenomena of the machine and the beam diagnostic system effectively, and can be used for calculating confidential indicators of the beam instruments. It provides an efficient tool for the improvement of the beam diagnostic system and accelerator. (authors)

  16. Avaliação de Desempenho de Projetos de Data Warehouse

    Directory of Open Access Journals (Sweden)

    Diogo Everson Santos

    2006-08-01

    Full Text Available This article presents a proposal of methodology of evaluation of performance for the project of creation of Data Warehouse (DW of Sebrae MG. A DW is a great corporative data base fed by information systems does business, many distinct times in formats and architectures, very increasing in the time, integrated and guided to the business whose function and to support the managemental decisions (IMMON, 1996. The evaluation methodology proposal is bases on three elements - people, process and techniques (RUBIO and BIRTH, 2005 - and uses the conceptualization of performance of projects of Shenhar (2001. Destarte, the judgment on the degree the success (or failure of a project of Data Warehouse (DW will depend on the perception of the involved ones (stake holders and of the different moments where the evaluation (re is made. The evaluation of performance of DW projects if initiates during the development of the project and if it extends after until its conclusion. In the phases you initiate, is looked to identify necessities of correction of route to also guarantee the benefits of short term and, by means of estimates of future impacts, of medium and long run.

  17. Radon in large buildings: The development of a protocol

    International Nuclear Information System (INIS)

    Wilson, D.L.; Dudney, C.S.; Gammage, R.B.

    1993-01-01

    Over the past several years, considerable research has been devoted by the US Environmental Protection Agency (USEPA) and others to develop radon sampling protocols for single family residences and schools. However, very little research has been performed on measuring radon in the work place. To evaluate possible sampling protocols, 833 buildings throughout the United States were selected for extensive radon testing. The buildings tested (warehouses, production plants and office buildings) were representative of commercial buildings across the country both in design, size and use. Based on the results, preliminary radon sampling protocols for the work place have been developed

  18. Warehouse design and product assignment and allocation: A mathematical programming model

    OpenAIRE

    Geraldes, Carla A. S.; Carvalho, Maria Sameiro; Pereira, Guilherme

    2012-01-01

    Warehouses can be considered one of the most important nodes in supply chains. The dynamic nature of today's markets compels organizations to an incessant reassessment in an effort to respond to continuous challenges. Therefore warehouses must be continually re-evaluated to ensure that they are consistent with both market's demands and management's strategies. In this paper we discuss a mathematical programming model aiming to support product assignment and allocation to the functional areas ...

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

    Science.gov (United States)

    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.

  20. Information delivery manuals to integrate building product information into design

    DEFF Research Database (Denmark)

    Berard, Ole Bengt; Karlshøj, Jan

    2011-01-01

    Despite continuing BIM progress, professionals in the AEC industry often lack the information they need to perform their work. Although this problem could be alleviated by information systems similar to those in other industries, companies struggle to model processes and information needs...... them in information systems. BIM implies that objects are bearers of information and logic. The present study has three main aims: (1) to explore IDMs capability to capture all four perspectives, (2) to determine whether an IDM’s collaborative methodology is valid for developing standardized processes......, and (3) to ascertain whether IDM’s business rules can support the development of information and logic-bearing BIM objects. The research is based on a case study of re-engineering the bidding process for a design-build project to integrate building product manufacturers, subcontractors...

  1. ¿Why Data warehouse & Business Intelligence at Universidad Simon Bolivar?

    Directory of Open Access Journals (Sweden)

    Kamagate Azoumana

    2013-01-01

    Full Text Available Abstract The data warehouse is supposed to provide storage, functionality and responsiveness to queries beyond the capabilities of today’s transaction databases. Also Data warehouse is built to improve the data access performance of databases.   Resumen Los almacenes de datos se supone que proporcionan almacenamiento, funcionalidad y capacidad de repuesta a las consultas y análisis más eficiente que las bases de datos transaccionales. También el almacén de datos se construiye para mejorar el rendimiento de acceso a los datos.

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

    Science.gov (United States)

    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.

  3. A review of building information modelling

    Science.gov (United States)

    Wang, Wen; Han, Rui

    2018-05-01

    Building Information Modelling (BIM) is widely seen as a catalyst for innovation and productivity. It is becoming standard for new construction and is the most significant technology changing how we design, build, use and manage the building. It is a dominant technological trend in the software industry and although the theoretical groundwork was laid in the previous century, it is a popular topic in academic research. BIM is discussed in this study, which results can provide better and more comprehensive choices for building owners, designers, and developers in future.

  4. Refrigerated Warehouse Demand Response Strategy Guide

    Energy Technology Data Exchange (ETDEWEB)

    Scott, Doug [VaCom Technologies, San Luis Obispo, CA (United States); Castillo, Rafael [VaCom Technologies, San Luis Obispo, CA (United States); Larson, Kyle [VaCom Technologies, San Luis Obispo, CA (United States); Dobbs, Brian [VaCom Technologies, San Luis Obispo, CA (United States); Olsen, Daniel [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)

    2015-11-01

    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 lighting 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.

  5. Warehouse site selection in an international environment

    Directory of Open Access Journals (Sweden)

    Sebastjan ŠKERLIČ

    2013-01-01

    Full Text Available The changed conditions in the automotive industry as the market and the production are moving from west to east, both at global and at European level, require constant adjustment from Slovenian companies. The companies strive to remain close to their customers and suppliers, as only by maintaining a high quality and streamlined supply chain, their existence within the demanding automotive industry is guaranteed in the long term. Choosing the right location for a warehouse in an international environment is therefore one of the most important strategic decisions that takes into account a number of interrelated factors such as transport networks, transport infrastructure, trade flows and the total cost. This paper aims to explore the important aspects of selecting a location for a warehouse and to identify potential international strategic locations, which could have a significant impact on the future operations of Slovenian companies in the global automotive industry.

  6. ThaleMine: A Warehouse for Arabidopsis Data Integration and Discovery.

    Science.gov (United States)

    Krishnakumar, Vivek; Contrino, Sergio; Cheng, Chia-Yi; Belyaeva, Irina; Ferlanti, Erik S; Miller, Jason R; Vaughn, Matthew W; Micklem, Gos; Town, Christopher D; Chan, Agnes P

    2017-01-01

    ThaleMine (https://apps.araport.org/thalemine/) is a comprehensive data warehouse that integrates a wide array of genomic information of the model plant Arabidopsis thaliana. The data collection currently includes the latest structural and functional annotation from the Araport11 update, the Col-0 genome sequence, RNA-seq and array expression, co-expression, protein interactions, homologs, pathways, publications, alleles, germplasm and phenotypes. The data are collected from a wide variety of public resources. Users can browse gene-specific data through Gene Report pages, identify and create gene lists based on experiments or indexed keywords, and run GO enrichment analysis to investigate the biological significance of selected gene sets. Developed by the Arabidopsis Information Portal project (Araport, https://www.araport.org/), ThaleMine uses the InterMine software framework, which builds well-structured data, and provides powerful data query and analysis functionality. The warehoused data can be accessed by users via graphical interfaces, as well as programmatically via web-services. Here we describe recent developments in ThaleMine including new features and extensions, and discuss future improvements. InterMine has been broadly adopted by the model organism research community including nematode, rat, mouse, zebrafish, budding yeast, the modENCODE project, as well as being used for human data. ThaleMine is the first InterMine developed for a plant model. As additional new plant InterMines are developed by the legume and other plant research communities, the potential of cross-organism integrative data analysis will be further enabled. © The Author 2016. Published by Oxford University Press on behalf of Japanese Society of Plant Physiologists. All rights reserved. For permissions, please email: journals.permissions@oup.com.

  7. Automated Data Aggregation for Time-Series Analysis: Study Case on Anaesthesia Data Warehouse.

    Science.gov (United States)

    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.

  8. Data warehouse for assessing animal health, welfare, risk management and -communication.

    Science.gov (United States)

    Nielsen, Annette Cleveland

    2011-01-01

    The objective of this paper is to give an overview of existing databases in Denmark and describe some of the most important of these in relation to establishment of the Danish Veterinary and Food Administrations' veterinary data warehouse. The purpose of the data warehouse and possible use of the data are described. Finally, sharing of data and validity of data is discussed. There are databases in other countries describing animal husbandry and veterinary antimicrobial consumption, but Denmark will be the first country relating all data concerning animal husbandry, -health and -welfare in Danish production animals to each other in a data warehouse. Moreover, creating access to these data for researchers and authorities will hopefully result in easier and more substantial risk based control, risk management and risk communication by the authorities and access to data for researchers for epidemiological studies in animal health and welfare.

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

    Science.gov (United States)

    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.

  10. Quantitative performance of E-Scribe warehouse in detecting quality issues with digital annotated ECG data from healthy subjects.

    Science.gov (United States)

    Sarapa, Nenad; Mortara, Justin L; Brown, Barry D; Isola, Lamberto; Badilini, Fabio

    2008-05-01

    The US Food and Drug Administration recommends submission of digital electrocardiograms in the standard HL7 XML format into the electrocardiogram warehouse to support preapproval review of new drug applications. The Food and Drug Administration scrutinizes electrocardiogram quality by viewing the annotated waveforms and scoring electrocardiogram quality by the warehouse algorithms. Part of the Food and Drug Administration warehouse is commercially available to sponsors as the E-Scribe Warehouse. The authors tested the performance of E-Scribe Warehouse algorithms by quantifying electrocardiogram acquisition quality, adherence to QT annotation protocol, and T-wave signal strength in 2 data sets: "reference" (104 digital electrocardiograms from a phase I study with sotalol in 26 healthy subjects with QT annotations by computer-assisted manual adjustment) and "test" (the same electrocardiograms with an intentionally introduced predefined number of quality issues). The E-Scribe Warehouse correctly detected differences between the 2 sets expected from the number and pattern of errors in the "test" set (except for 1 subject with QT misannotated in different leads of serial electrocardiograms) and confirmed the absence of differences where none was expected. E-Scribe Warehouse scores below the threshold value identified individual electrocardiograms with questionable T-wave signal strength. The E-Scribe Warehouse showed satisfactory performance in detecting electrocardiogram quality issues that may impair reliability of QTc assessment in clinical trials in healthy subjects.

  11. Towards a Modernization Process for Secure Data Warehouses

    Science.gov (United States)

    Blanco, Carlos; Pérez-Castillo, Ricardo; Hernández, Arnulfo; Fernández-Medina, Eduardo; Trujillo, Juan

    Data Warehouses (DW) manage crucial enterprise information used for the decision making process which has to be protected from unauthorized accesses. However, security constraints are not properly integrated in the complete DWs’ development process, being traditionally considered in the last stages. Furthermore, legacy systems need a reverse engineering process in order to accomplish re-documentation for detecting new security requirements as well as system’s design recovery to enable migration and reuse. Thus, we have proposed a model driven architecture (MDA) for secure DWs which takes into account security issues from the early stages of development and provides automatic transformations between models. This paper fulfills this architecture providing an architecture-driven modernization (ADM) process focused on obtaining conceptual security models from legacy OLAP systems.

  12. Warehouse operations planning model for Bausch & Lomb

    NARCIS (Netherlands)

    Atilgan, Ceren

    2009-01-01

    Operations planning is a major part of the Sales& Operations Planning (S&OP) process. It provides an overview on the operations capacity requirements by considering the supply and demand plan. However, Bausch& Lomb does not have a structured operations planning process for their warehouse

  13. Achieving informed decision-making for net zero energy buildings design using building performance simulation tools

    NARCIS (Netherlands)

    Attia, S.G.; Gratia, E.; De Herde, A.; Hensen, J.L.M.

    2013-01-01

    Building performance simulation (BPS) is the basis for informed decision-making of Net Zero Energy Buildings (NZEBs) design. This paper aims to investigate the use of building performance simulation tools as a method of informing the design decision of NZEBs. The aim of this study is to evaluate the

  14. How much information disclosure of building energy performance is necessary?

    International Nuclear Information System (INIS)

    Hsu, David

    2014-01-01

    Many different governments have begun to require disclosure of building energy performance, in order to allow owners and prospective buyers to incorporate this information into their investment decisions. These policies, known as disclosure or information policies, require owners to benchmark their buildings and sometimes conduct engineering audits. However, given substantial variation in the cost to disclose different types of information, it is natural to ask: how much and what kind of information about building energy performance should be disclosed, and for what purposes? To answer this question, this paper assembles and cleans a comprehensive panel dataset of New York City multifamily buildings, and analyzes its predictive power using a Bayesian multilevel regression model. Analysis of variance (ANOVA) reveals that building-level variation is the most important factor in explaining building energy use, and that there are few, if any, relationships of building systems to observed energy use. This indicates that disclosure laws requiring benchmarking data may be relatively more useful than engineering audits in explaining the observed energy performance of existing buildings. These results should inform the further development of information disclosure laws. - Highlights: • A comprehensive panel dataset of energy performance and building characteristics was assembled and cleaned. • The effectiveness of the disclosed information to predict building energy performance was tested using a regression model. • Building-level variation has a greater effect than any building characteristic or systems. • Benchmarking data alone predicts energy performance equally as well as both benchmarking and engineering audit data together, and better than audit data alone

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

    Science.gov (United States)

    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 ...

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

    Science.gov (United States)

    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.

  17. Contextual snowflake modelling for pattern warehouse logical design

    Indian Academy of Sciences (India)

    being managed by the pattern warehouse management system (PWMS) ... The authors pointed out that the necessity to find out the relationship between patterns .... (i) Some customer queries can only be satisfied by specific DM technique.

  18. IR and OLAP in XML document warehouses

    DEFF Research Database (Denmark)

    Perez, Juan Manuel; Pedersen, Torben Bach; Berlanga, Rafael

    2005-01-01

    In this paper we propose to combine IR and OLAP (On-Line Analytical Processing) technologies to exploit a warehouse of text-rich XML documents. In the system we plan to develop, a multidimensional implementation of a relevance modeling document model will be used for interactively querying...

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

    Science.gov (United States)

    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.

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

    Science.gov (United States)

    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.

  1. The Pediatrix BabySteps® Data Warehouse--a unique national resource for improving outcomes for neonates.

    Science.gov (United States)

    Spitzer, Alan R; Ellsbury, Dan; Clark, Reese H

    2015-01-01

    The Pediatrix Medical Group Clinical Data Warehouse represents a unique electronic data capture system for the assessment of outcomes, the management of quality improvement (CQI) initiatives, and the resolution of important research questions in the neonatal intensive care unit (NICU). This system is described in detail and the manner in which the Data Warehouse has been used to measure and improve patient outcomes through CQI projects and research is outlined. The Pediatrix Data Warehouse now contains more than 1 million patients, serving as an exceptional tool for evaluating NICU care. Examples are provided of how significant outcome improvement has been achieved and several papers are cited that have used the "Big Data" contained in the Data Warehouse for novel observations that could not be made otherwise.

  2. Warehousing performance improvement using Frazelle Model and per group benchmarking: A case study in retail warehouse in Yogyakarta and Central Java

    Directory of Open Access Journals (Sweden)

    Kusrini Elisa

    2018-01-01

    Full Text Available Warehouse performance management has an important role in improving logistic's business activities. Good warehouse management could increase profit, time delivery, quality and customer service. This study is conducted to assess performance of retail warehouses in some supermarket located in Central Java and Yogyakarta. Performance improvement is proposed base on the warehouse measurement using Frazelle model (2002, that measure on five indicators, namely Financial, Productivity, Utility, Quality and Cycle time along five business process in warehousing, i.e. Receiving, Put Away, Storage, Order picking and shipping. In order to obtain more precise performance, the indicators are weighted using Analytic Hierarchy Analysis (AHP method. Then, warehouse performance are measured and final score is determined using SNORM method. From this study, it is found the final score of each warehouse and opportunity to improve warehouse performance using peer group benchmarking

  3. The Impact of E-Commerce Development on the Warehouse Space Market in Poland

    Directory of Open Access Journals (Sweden)

    Dembińska Izabela

    2016-12-01

    Full Text Available The subject of discussion in the article is the impact of e-commerce sector on the warehouse space market. On the basis of available reports, the development of e-commerce has been characterized in Poland, showing the dynamics and the type of change. The needs of e-commerce sector in the field of logistics, in particular in the area of storage, have been presented in the paper. These needs have been characterized and at the same time, how representatives of the warehouse space market are prepared to support companies in the e-commerce sector is also discussed. The considerations are illustrated by the changes that occur as a result of the development of e-commerce on the warehouse space market in Poland.

  4. Worldwide Warehouse: A Customer Perspective

    Science.gov (United States)

    1994-09-01

    Management Office (PMO) and the customers (returnees and buyers) 23 will be developed or adapted from existing software programs. The hardware could be... customer requirements and desires is the first aspect to be approached. Sections 4.7 to 4.11 were dedicated to inivestigate those relationships and...R x NTIS CRA&I DTIC TAB WORLDWIDE WAREHOUSE: Ju’a-noj1c0[ed 0 A CUSTOMER PERSPECTIVE J-f-c-.tion .......... THESIS By D i s ib , tio

  5. Minimizing Warehouse Space with a Dedicated Storage Policy

    Directory of Open Access Journals (Sweden)

    Andrea Fumi

    2013-07-01

    inevitably be supported by warehouse management system software. On the contrary, the proposed methodology relies upon a dedicated storage policy, which is easily implementable by companies of all sizes without the need for investing in expensive IT tools.

  6. A quality-aware spatial data warehouse for querying hydroecological data

    Science.gov (United States)

    Berrahou, L.; Lalande, N.; Serrano, E.; Molla, G.; Berti-Équille, L.; Bimonte, S.; Bringay, S.; Cernesson, F.; Grac, C.; Ienco, D.; Le Ber, F.; Teisseire, M.

    2015-12-01

    Addressing data quality issues in information systems remains a challenging task. Many approaches only tackle this issue at the extract, transform and load steps. Here we define a comprehensive method to gain greater insight into data quality characteristics within data warehouse. Our novel architecture was implemented for an hydroecological case study where massive French watercourse sampling data are collected. The method models and makes effective use of spatial, thematic and temporal accuracy, consistency and completeness for multidimensional data in order to offer analysts a "data quality" oriented framework. The results obtained in experiments carried out on the Saône River dataset demonstrated the relevance of our approach.

  7. Translating building information modeling to building energy modeling using model view definition.

    Science.gov (United States)

    Jeong, WoonSeong; Kim, Jong Bum; Clayton, Mark J; Haberl, Jeff S; Yan, Wei

    2014-01-01

    This paper presents a new approach to translate between Building Information Modeling (BIM) and Building Energy Modeling (BEM) that uses Modelica, an object-oriented declarative, equation-based simulation environment. The approach (BIM2BEM) has been developed using a data modeling method to enable seamless model translations of building geometry, materials, and topology. Using data modeling, we created a Model View Definition (MVD) consisting of a process model and a class diagram. The process model demonstrates object-mapping between BIM and Modelica-based BEM (ModelicaBEM) and facilitates the definition of required information during model translations. The class diagram represents the information and object relationships to produce a class package intermediate between the BIM and BEM. The implementation of the intermediate class package enables system interface (Revit2Modelica) development for automatic BIM data translation into ModelicaBEM. In order to demonstrate and validate our approach, simulation result comparisons have been conducted via three test cases using (1) the BIM-based Modelica models generated from Revit2Modelica and (2) BEM models manually created using LBNL Modelica Buildings library. Our implementation shows that BIM2BEM (1) enables BIM models to be translated into ModelicaBEM models, (2) enables system interface development based on the MVD for thermal simulation, and (3) facilitates the reuse of original BIM data into building energy simulation without an import/export process.

  8. Translating Building Information Modeling to Building Energy Modeling Using Model View Definition

    Directory of Open Access Journals (Sweden)

    WoonSeong Jeong

    2014-01-01

    Full Text Available This paper presents a new approach to translate between Building Information Modeling (BIM and Building Energy Modeling (BEM that uses Modelica, an object-oriented declarative, equation-based simulation environment. The approach (BIM2BEM has been developed using a data modeling method to enable seamless model translations of building geometry, materials, and topology. Using data modeling, we created a Model View Definition (MVD consisting of a process model and a class diagram. The process model demonstrates object-mapping between BIM and Modelica-based BEM (ModelicaBEM and facilitates the definition of required information during model translations. The class diagram represents the information and object relationships to produce a class package intermediate between the BIM and BEM. The implementation of the intermediate class package enables system interface (Revit2Modelica development for automatic BIM data translation into ModelicaBEM. In order to demonstrate and validate our approach, simulation result comparisons have been conducted via three test cases using (1 the BIM-based Modelica models generated from Revit2Modelica and (2 BEM models manually created using LBNL Modelica Buildings library. Our implementation shows that BIM2BEM (1 enables BIM models to be translated into ModelicaBEM models, (2 enables system interface development based on the MVD for thermal simulation, and (3 facilitates the reuse of original BIM data into building energy simulation without an import/export process.

  9. Multidisciplinary Energy Assessment of Tertiary Buildings: Automated Geomatic Inspection, Building Information Modeling Reconstruction and Building Performance Simulation

    Directory of Open Access Journals (Sweden)

    Faustino Patiño-Cambeiro

    2017-07-01

    Full Text Available There is an urgent need for energy efficiency in buildings within the European framework, considering its environmental implications, and Europe’s energy dependence. Furthermore, the need for enhancing and increasing productivity in the building industry turns new technologies and building energy performance simulation environments into extremely interesting solutions towards rigorous analysis and decision making in renovation within acceptable risk levels. The present work describes a multidisciplinary approach for the estimation of the energy performance of an educational building. The research involved data acquisition with advanced geomatic tools, the development of an optimized building information model, and energy assessment in Building Performance Simulation (BPS software. Interoperability issues were observed in the different steps of the process. The inspection and diagnostic phases were conducted in a timely, accurate manner thanks to automated data acquisition and subsequent analysis using Building Information Modeling based tools (BIM-based tools. Energy simulation was performed using Design Builder, and the results obtained were compared with those yielded by the official software tool established by Spanish regulations for energy certification. The discrepancies between the results of both programs have proven that the official software program is conservative in this sense. This may cause the depreciation of the assessed buildings.

  10. Desain Sistem Semantic Data Warehouse dengan Metode Ontology dan Rule Based untuk Mengolah Data Akademik Universitas XYZ di Bali

    Directory of Open Access Journals (Sweden)

    Made Pradnyana Ambara

    2016-06-01

    Full Text Available Data warehouse pada umumnya yang sering dikenal data warehouse tradisional mempunyai beberapa kelemahan yang mengakibatkan kualitas data yang dihasilkan tidak spesifik dan efektif. Sistem semantic data warehouse merupakan solusi untuk menangani permasalahan pada data warehouse tradisional dengan kelebihan antara lain: manajeman kualitas data yang spesifik dengan format data seragam untuk mendukung laporan OLAP yang baik, dan performance pencarian informasi yang lebih efektif dengan kata kunci bahasa alami. Pemodelan sistem semantic data warehouse menggunakan metode ontology menghasilkan model resource description framework schema (RDFS logic yang akan ditransformasikan menjadi snowflake schema. Laporan akademik yang dibutuhkan dihasilkan melalui metode nine step Kimball dan pencarian semantic menggunakan metode rule based. Pengujian dilakukan menggunakan dua metode uji yaitu pengujian dengan black box testing dan angket kuesioner cheklist. Dari hasil penelitian ini dapat disimpulkan bahwa sistem semantic data warehouse dapat membantu proses pengolahan data akademik yang menghasilkan laporan yang berkualitas untuk mendukung proses pengambilan keputusan.

  11. The application, benefits and challenges of retrofitting the existing buildings

    Science.gov (United States)

    Khairi, Muhammad; Jaapar, Aini; Yahya, Zaharah

    2017-11-01

    Sustainable development has been the main topic of debate for years in some countries such as United Kingdom, United State of America and Malaysia. Depletion of natural resources, global warming, economics uncertainty and health issues are some of the reasons behind sustainable development movements, it is not just a political debate in the parliament but more towards collective works among sectors in order to minimizing the negative impact of development to the environment and other living organism. Retrofit an existing building is one of the solutions to reduce the dependency on constructing new buildings. There are huge numbers of existing building stocks that suitable to be retrofitted such as historical buildings, offices, residential, warehouse, factories, vacant buildings and other historical buildings. Therefore, the aim of this research is to provide information on the application, benefits and challenges of retrofitting an existing building. Two buildings were chosen as case studies following by site visits and observation to the buildings. The data were then compared in a table form. Primary and secondary sources were also used for this research. The application of retrofit should be promoted across the construction and conservation industries since it has significant tangible and intangible benefits. It is one of the most environmentally friendly and efficient solutions to optimize the energy performance and could also helps to extend the life of the existing building or historical buildings while ensuring optimum thermal comfort for the occupants which leads to higher productivity.

  12. Architectural design of a data warehouse to support operational and analytical queries across disparate clinical databases.

    Science.gov (United States)

    Chelico, John D; Wilcox, Adam; Wajngurt, David

    2007-10-11

    As the clinical data warehouse of the New York Presbyterian Hospital has evolved innovative methods of integrating new data sources and providing more effective and efficient data reporting and analysis need to be explored. We designed and implemented a new clinical data warehouse architecture to handle the integration of disparate clinical databases in the institution. By examining the way downstream systems are populated and streamlining the way data is stored we create a virtual clinical data warehouse that is adaptable to future needs of the organization.

  13. On sustainable operation of warehouse order picking systems

    NARCIS (Netherlands)

    Andriansyah, R.; Etman, L.F.P.; Rooda, J.E.

    2009-01-01

    Sustainable development calls for an efficient utilization of natural and human resources. This issue also arises for warehouse systems, where typically extensive capital investment and labor intensive work are involved. It is therefore important to assess and continuously monitor the performance of

  14. PERANCANGAN SISTEM METADATA UNTUK DATA WAREHOUSE DENGAN STUDI KASUS REVENUE TRACKING PADA PT. TELKOM DIVRE V JAWA TIMUR

    Directory of Open Access Journals (Sweden)

    Yudhi Purwananto

    2004-07-01

    Full Text Available Normal 0 false false false IN X-NONE X-NONE MicrosoftInternetExplorer4 /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin:0cm; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} Data warehouse merupakan media penyimpanan data dalam perusahaan yang diambil dari berbagai sistem dan dapat digunakan untuk berbagai keperluan seperti analisis dan pelaporan. Di PT Telkom Divre V Jawa Timur telah dibangun sebuah data warehouse yang disebut dengan Regional Database. Di Regional Database memerlukan sebuah komponen penting dalam data warehouse yaitu metadata. Definisi metadata secara sederhana adalah "data tentang data". Dalam penelitian ini dirancang sistem metadata dengan studi kasus Revenue Tracking sebagai komponen analisis dan pelaporan pada Regional Database. Metadata sangat perlu digunakan dalam pengelolaan dan memberikan informasi tentang data warehouse. Proses - proses di dalam data warehouse serta komponen - komponen yang berkaitan dengan data warehouse harus saling terintegrasi untuk mewujudkan karakteristik data warehouse yang subject-oriented, integrated, time-variant, dan non-volatile. Karena itu metadata juga harus memiliki kemampuan mempertukarkan informasi (exchange antar komponen dalam data warehouse tersebut. Web service digunakan sebagai mekanisme pertukaran ini. Web service menggunakan teknologi XML dan protokol HTTP dalam berkomunikasi. Dengan web service, setiap komponen

  15. Modelling of Data Warehouse on Food Distribution Center and Reserves in the Ministry of Agriculture

    Directory of Open Access Journals (Sweden)

    Edi Purnomo Putra

    2015-09-01

    Full Text Available The purpose of this study is to perform database’s planning that supports Prototype Modeling Data Warehouse in the Ministry of Agriculture, especially in the Distribution Center and Reserves in the field of distribution, reserve and price. With the prototype of Data Warehouse, the process of data analysis anddecision-making process by the top management will be easier and more accurate. Research’s method used was data collection and design method. Data warehouse’s design method was done by using Kimball’s nine stepsmethodology. Database design was done by using the ERD (Entity Relationship Diagram and activity diagram. The data used for the analysis was obtained from an interview with the head of Distribution, Reserve and Food Price. The results obtained through the analysis incorporated into the Data Warehouse Prototype have been designed to support decision-making. To conclude, Prototype Data Warehouse facilitates the analysis of data, the searching of history data and decision-making by the top management.

  16. PROTOTIPE INTEGRASI DATA MORBIDITAS PASIEN PUSKESMAS KEDALAM DATA WAREHOUSE DI DINAS KESEHATAN KABUTEN BANTUL

    Directory of Open Access Journals (Sweden)

    Totok Suprawoto

    2017-05-01

    Full Text Available Bantul District Health Office (DHO Bantul is one of the agencies that are currently having problems to obtain health information that is accurate and current. The report should be made regularly by the health center then recapitulated in Bantul Health Office is a statement of outpatient morbidity such as Integrated Disease Surveillance (STP report, a report based on the type of disease and others. The increasing number and complexity of morbidity data in Bantul Health Office environment, as well as the importance of planning and decision making, it is necessary to analyze and design data further using the data warehouse. From the analysis and design of data warehouse based on the fact constellation schema that includes dimensions: time, patient, age, disease and health centers, can then be further analyzed for purposes of making decisions using data mining. Furthermore, it can also be used to analyze patient data from multiple dimensions (time, patient, age, disease and health centers, and to analyze the growing number of patients from each period of benefit to the management of Bantul Health Office.

  17. Integrating Building Information Modeling and Augmented Reality to Improve Investigation of Historical Buildings

    Directory of Open Access Journals (Sweden)

    Francesco Chionna

    2015-12-01

    Full Text Available This paper describes an experimental system to support investigation of historical buildings using Building Information Modeling (BIM and Augmented Reality (AR. The system requires the use of an off-line software to build the BIM representation and defines a method to integrate diagnostic data into BIM. The system offers access to such information during site investigation using AR glasses supported by marker and marker-less technologies. The main innovation is the possibility to contextualize through AR not only existing BIM properties but also results from non-invasive tools. User evaluations show how the use of the system may enhance the perception of engineers during the investigation process.

  18. Implementasi Data Warehouse dan Data Mining: Studi Kasus Analisis Peminatan Studi Siswa

    Directory of Open Access Journals (Sweden)

    Eka Miranda

    2011-06-01

    Full Text Available This paper discusses the implementation of data mining and their role in helping decision-making related to students’ specialization program selection. Currently, the university uses a database to store records of transactions which can not directly be used to assist analysis and decision making. Based on these issues then made the data warehouse design used to store large amounts of data and also has the potential to gain new data distribution perspectives and allows to answer the ad hoc question as well as to perform data analysis. The method used consists of: record analysis related to students’ academic achievement, designing data warehouse and data mining. The paper’s results are in a form of data warehouse and data mining design and its implementation with the classification techniques and association rules. From these results can be seen the students’ tendency and pattern background in choosing the specialization, to help them make decisions. 

  19. An Advanced Data Warehouse for Integrating Large Sets of GPS Data

    DEFF Research Database (Denmark)

    Andersen, Ove; Krogh, Benjamin Bjerre; Thomsen, Christian

    2014-01-01

    GPS data recorded from driving vehicles is available from many sources and is a very good data foundation for answering traffic related queries. However, most approaches so far have not considered combining GPS data from many sources into a single data warehouse. Further, the integration of GPS...... data with fuel consumption data (from the so-called CAN bus in the vehicles) and weather data has not been done. In this paper, we propose a data warehouse design for handling GPS data, fuel consumption data, and weather data. The design is fully implemented in a running system using the Postgre...

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

    Science.gov (United States)

    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.

  1. Diseño, elaboración y explotación de un data warehouse para una institución sanitaria

    OpenAIRE

    Castillo Hernández, Iván

    2014-01-01

    Diseño, elaboración y explotación de un data warehouse para una institución sanitaria. Disseny, elaboració i explotació d'un data warehouse per a una institució sanitària. Bachelor thesis for the Computer Science program on Data warehouse.

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

    Science.gov (United States)

    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...

  3. Multidimensional Analysis and Location Intelligence Application for Spatial Data Warehouse Hotspot in Indonesia using SpagoBI

    Science.gov (United States)

    Uswatun Hasanah, Gamma; Trisminingsih, Rina

    2016-01-01

    Spatial data warehouse refers to data warehouse which has a spatial component that represents the geographic location of the position or an object on the Earth's surface. Spatial data warehouse can be visualized in the form of a crosstab tables, graphs, and maps. Spatial data warehouse of hotspot in Indonesia has been constructed by researchers from FIRM NASA 2006-2015. This research develops multidimensional analysis module and location intelligence module using SpagoBI. The multidimensional analysis module is able to visualize online analytical processing (OLAP). The location intelligence module creates dynamic map visualization in map zone and map point. Map zone can display the different colors based on the number of hotspot in each region and map point can display different sizes of the point to represent the number of hotspots in each region. This research is expected to facilitate users in the presentation of hotspot data as needed.

  4. Building Land Information Policies

    DEFF Research Database (Denmark)

    Enemark, Stig

    2004-01-01

    The paper presents a conceptual understanding in the areas of Cadastre, Land Administration, and Land Management as a basis for building adequate land information policies. To develop this understanding the paper looks at each area as a system or an infrastructure designed for handling specific...... of measurement science, spatial information, management, and land management. (2) To establish national professional associations which accommodate a modern interdisciplinary profile. (3) To assess the capacity needs in land administration and to develop the capacity needed at societal, institutional...... and personal level.    (4) To establish appropriate institutional and organisational infrastructures to manage the integration of topographic mapping and cadastral information into a coherent land administration system for sustainable development. The paper aims to establish the basic understanding for dealing...

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

    Energy Technology Data Exchange (ETDEWEB)

    Lekov, Alex; Thompson, Lisa; McKane, Aimee; Rockoff, Alexandra; Piette, Mary Ann

    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 efficiency 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.

  6. Developing Verification Systems for Building Information Models of Heritage Buildings with Heterogeneous Datasets

    Science.gov (United States)

    Chow, L.; Fai, S.

    2017-08-01

    The digitization and abstraction of existing buildings into building information models requires the translation of heterogeneous datasets that may include CAD, technical reports, historic texts, archival drawings, terrestrial laser scanning, and photogrammetry into model elements. In this paper, we discuss a project undertaken by the Carleton Immersive Media Studio (CIMS) that explored the synthesis of heterogeneous datasets for the development of a building information model (BIM) for one of Canada's most significant heritage assets - the Centre Block of the Parliament Hill National Historic Site. The scope of the project included the development of an as-found model of the century-old, six-story building in anticipation of specific model uses for an extensive rehabilitation program. The as-found Centre Block model was developed in Revit using primarily point cloud data from terrestrial laser scanning. The data was captured by CIMS in partnership with Heritage Conservation Services (HCS), Public Services and Procurement Canada (PSPC), using a Leica C10 and P40 (exterior and large interior spaces) and a Faro Focus (small to mid-sized interior spaces). Secondary sources such as archival drawings, photographs, and technical reports were referenced in cases where point cloud data was not available. As a result of working with heterogeneous data sets, a verification system was introduced in order to communicate to model users/viewers the source of information for each building element within the model.

  7. Integrating Building Information Modeling and Green Building Certification: The BIM-LEED Application Model Development

    Science.gov (United States)

    Wu, Wei

    2010-01-01

    Building information modeling (BIM) and green building are currently two major trends in the architecture, engineering and construction (AEC) industry. This research recognizes the market demand for better solutions to achieve green building certification such as LEED in the United States. It proposes a new strategy based on the integration of BIM…

  8. Location of Farmers Warehouse at Adaklu Traditional Area, Volta Region, Ghana

    Directory of Open Access Journals (Sweden)

    Vincent Tulasi

    2016-01-01

    Full Text Available Postharvest loss is one major problem farmers in Adaklu Traditional Area that most Ghanaian farmers face. As a result, many farmers wallow in abject poverty. Warehouses are important facilities that help to reduce postharvest loss. In this research, Beresnev pseudo-Boolean Simple Plant Location Problem (SPLP model is used to locate a warehouse at Adaklu Traditional Area, Volta Region, Ghana. This model was used because it gives a straightforward computation and produces no iteration as compared with other models. The SPLP is a problem of selecting a site from candidate sites to locate a plant so that customers can be supplied from the plant at a minimum cost. The model is made up of fixed cost and transportation cost. Location index ordering matrix was developed from the transportation cost matrix and we used it with the fixed cost and differences between variable costs to formulate the Beresnev function. Linear term developed from the function which was partial is pegged to obtain a complete solution. Of the 14 notable communities considered, Adaklu Waya is found most suitable for the setting of the warehouse. The total cost involved is Gh₵ 78,180.00.

  9. Construction Operations Building Information Exchange (COBIE)

    Science.gov (United States)

    2007-06-01

    Swalley U.S. Department of State, Overseas Buildings Operations Toby Wilson U.S. Army, Corps of Engineers, Engineer R&D Center Jeff Wix AEC3 The...exchanged in COBIE. To map those information exchanges to the IFC model, the Information Delivery Manual (IDM) process [ Wix 2007] was also used. The...Folksonomy. Wikimedia Foundation. http://en.wikipedia.org/wiki/Folksonomy/, accessed 3 August 2007. Wix , Jeffrey. 2007. Information Delivery Manual

  10. Capturing Complex Multidimensional Data in Location-Based Data Warehouses

    DEFF Research Database (Denmark)

    Timko, Igor; Pedersen, Torben Bach

    2004-01-01

    Motivated by the increasing need to handle complex multidimensional data inlocation-based data warehouses, this paper proposes apowerful data model that is able to capture the complexities of such data. The model provides a foundation for handling complex transportationinfrastructures...

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

    Energy Technology Data Exchange (ETDEWEB)

    Burgin, Jillian Elizabeth [Los Alamos National Lab. (LANL), Los Alamos, NM (United States)

    2017-02-07

    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 is always present during operations.

  12. Building Information Model: advantages, tools and adoption efficiency

    Science.gov (United States)

    Abakumov, R. G.; Naumov, A. E.

    2018-03-01

    The paper expands definition and essence of Building Information Modeling. It describes content and effects from application of Information Modeling at different stages of a real property item. Analysis of long-term and short-term advantages is given. The authors included an analytical review of Revit software package in comparison with Autodesk with respect to: features, advantages and disadvantages, cost and pay cutoff. A prognostic calculation is given for efficiency of adoption of the Building Information Modeling technology, with examples of its successful adoption in Russia and worldwide.

  13. DEVELOPING VERIFICATION SYSTEMS FOR BUILDING INFORMATION MODELS OF HERITAGE BUILDINGS WITH HETEROGENEOUS DATASETS

    Directory of Open Access Journals (Sweden)

    L. Chow

    2017-08-01

    Full Text Available The digitization and abstraction of existing buildings into building information models requires the translation of heterogeneous datasets that may include CAD, technical reports, historic texts, archival drawings, terrestrial laser scanning, and photogrammetry into model elements. In this paper, we discuss a project undertaken by the Carleton Immersive Media Studio (CIMS that explored the synthesis of heterogeneous datasets for the development of a building information model (BIM for one of Canada’s most significant heritage assets – the Centre Block of the Parliament Hill National Historic Site. The scope of the project included the development of an as-found model of the century-old, six-story building in anticipation of specific model uses for an extensive rehabilitation program. The as-found Centre Block model was developed in Revit using primarily point cloud data from terrestrial laser scanning. The data was captured by CIMS in partnership with Heritage Conservation Services (HCS, Public Services and Procurement Canada (PSPC, using a Leica C10 and P40 (exterior and large interior spaces and a Faro Focus (small to mid-sized interior spaces. Secondary sources such as archival drawings, photographs, and technical reports were referenced in cases where point cloud data was not available. As a result of working with heterogeneous data sets, a verification system was introduced in order to communicate to model users/viewers the source of information for each building element within the model.

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

    Science.gov (United States)

    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

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

    Directory of Open Access Journals (Sweden)

    Matthew D Krasowski

    2015-01-01

    Full Text Available 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

  16. 19 CFR 19.13 - Requirements for establishment of warehouse.

    Science.gov (United States)

    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...

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

    Science.gov (United States)

    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.

  18. Development of building security integration system using sensors, microcontroller and GPS (Global Positioning System) based android smartphone

    Science.gov (United States)

    Sihombing, P.; Siregar, Y. M.; Tarigan, J. T.; Jaya, I.; Turnip, A.

    2018-03-01

    Security system is one of the common problems to protect an environment such as personal house or a warehouse. There are numerous methods and technologies that can be used as part of a security system. In this paper, we present a security system that offers a better efficiency. The purpose of this study is to build a system that can monitor home security at any time in particular fire and theft. Through sensors, the system will be able to provide warning information of hazard conditions via LCD monitor, sound, and alarm. This information will be sent automatically to the home owner’s smartphone as well as to the corresponding to the security agency. Thus the prevention of theft and fire hazards can be immediately anticipated by the police and firefighters. The system will also notify the position of the coordinates of the location of the building (the house) by a link to the Google map in order to make it easier to get the location quickly.

  19. Clinical research data warehouse governance for distributed research networks in the USA: a systematic review of the literature.

    Science.gov (United States)

    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.

  20. Optimal (R, Q) policy and pricing for two-echelon supply chain with lead time and retailer's service-level incomplete information

    Science.gov (United States)

    Esmaeili, M.; Naghavi, M. S.; Ghahghaei, A.

    2018-03-01

    Many studies focus on inventory systems to analyze different real-world situations. This paper considers a two-echelon supply chain that includes one warehouse and one retailer with stochastic demand and an up-to-level policy. The retailer's lead time includes the transportation time from the warehouse to the retailer that is unknown to the retailer. On the other hand, the warehouse is unaware of retailer's service level. The relationship between the retailer and the warehouse is modeled based on the Stackelberg game with incomplete information. Moreover, their relationship is presented when the warehouse and the retailer reveal their private information using the incentive strategies. The optimal inventory and pricing policies are obtained using an algorithm based on bi-level programming. Numerical examples, including sensitivity analysis of some key parameters, will compare the results between the Stackelberg models. The results show that information sharing is more beneficial to the warehouse rather than the retailer.

  1. 75 FR 63404 - Fossil Fuel-Generated Energy Consumption Reduction for New Federal Buildings and Major...

    Science.gov (United States)

    2010-10-15

    ... facilities, warehouses, record centers, relocation facilities, telecommuting centers, similar Federal... is on or used in connection with river, harbor, flood control, reclamation or power projects, for... Federal agency may not have control over the design of a renovation of a leased building in which the...

  2. ON PROBLEM OF REGIONAL WAREHOUSE AND TRANSPORT INFRASTRUCTURE OPTIMIZATION

    Directory of Open Access Journals (Sweden)

    I. Yu. Miretskiy

    2017-01-01

    Full Text Available The article suggests an approach of solving the problem of warehouse and transport infrastructure optimization in a region. The task is to determine the optimal capacity and location of the support network of warehouses in the region, as well as power, composition and location of motor fleets. Optimization is carried out using mathematical models of a regional warehouse network and a network of motor fleets. These models are presented as mathematical programming problems with separable functions. The process of finding the optimal solution of problems is complicated due to high dimensionality, non-linearity of functions, and the fact that a part of variables are constrained to integer, and some variables can take values only from a discrete set. Given the mentioned above complications search for an exact solution was rejected. The article suggests an approximate approach to solving problems. This approach employs effective computational schemes for solving multidimensional optimization problems. We use the continuous relaxation of the original problem to obtain its approximate solution. An approximately optimal solution of continuous relaxation is taken as an approximate solution of the original problem. The suggested solution method implies linearization of the obtained continuous relaxation and use of the separable programming scheme and the scheme of branches and bounds. We describe the use of the simplex method for solving the linearized continuous relaxation of the original problem and the specific moments of the branches and bounds method implementation. The paper shows the finiteness of the algorithm and recommends how to accelerate process of finding a solution.

  3. Risk control for staff planning in e-commerce warehouses

    NARCIS (Netherlands)

    Wruck, Susanne; Vis, Iris F A; Boter, Jaap

    2016-01-01

    Internet sale supply chains often need to fulfil quickly small orders for many customers. The resulting high demand and planning uncertainties pose new challenges for e-commerce warehouse operations. Here, we develop a decision support tool to assist managers in selecting appropriate risk policies

  4. Uso de la Tecnología Data Warehouse en Unidades Educativas de Nivel Medio: Consideraciones Teóricas

    Directory of Open Access Journals (Sweden)

    Cabrera Torres, Abdón Adolfo

    2014-06-01

    Full Text Available The present article is product of advices from the Data Warehouse module in the mastery of Management in technology of innovation and communication in the University of Milagro, and is also part of a research related with the use of this technology, the same that can be incorporated into fiscal educational institutions of the Ecuador and therefore to constitute it in a proposal, where its integration with the curriculum, cemented in the development of the interlearning, produce the desired impact in the educative communities. This transformation of administrative management in the academic structure will allow a effective development in the educative process, if the available pertinent information is used for research and analysis. The innovation of the Data Warehouse technology is pertinent and necessary, as part of the integrator process in the action of education. This action research work, in field mode with transversal character, concludes that the implementation of this technology basically lies in presenting new alternatives, that cause impact and achieve that educative institutions are informed, and that their processes were systematize with systemic and critic thoughts, through a constructivist approach.

  5. Guidelines for Using Building Information Modeling for Energy Analysis of Buildings

    Directory of Open Access Journals (Sweden)

    Thomas Reeves

    2015-12-01

    Full Text Available Building energy modeling (BEM, a subset of building information modeling (BIM, integrates energy analysis into the design, construction, and operation and maintenance of buildings. As there are various existing BEM tools available, there is a need to evaluate the utility of these tools in various phases of the building lifecycle. The goal of this research was to develop guidelines for evaluation and selection of BEM tools to be used in particular building lifecycle phases. The objectives of this research were to: (1 Evaluate existing BEM tools; (2 Illustrate the application of the three BEM tools; (3 Re-evaluate the three BEM tools; and (4 Develop guidelines for evaluation, selection and application of BEM tools in the design, construction and operation/maintenance phases of buildings. Twelve BEM tools were initially evaluated using four criteria: interoperability, usability, available inputs, and available outputs. Each of the top three BEM tools selected based on this initial evaluation was used in a case study to simulate and evaluate energy usage, daylighting performance, and natural ventilation for two academic buildings (LEED-certified and non-LEED-certified. The results of the case study were used to re-evaluate the three BEM tools using the initial criteria with addition of the two new criteria (speed and accuracy, and to develop guidelines for evaluating and selecting BEM tools to analyze building energy performance. The major contribution of this research is the development of these guidelines that can help potential BEM users to identify the most appropriate BEM tool for application in particular building lifecycle phases.

  6. Using DOE Commercial Reference Buildings for Simulation Studies: Preprint

    Energy Technology Data Exchange (ETDEWEB)

    Field, K.; Deru, M.; Studer, D.

    2010-08-01

    The U.S. Department of Energy developed 256 EnergyPlus models for use in studies that aim to characterize about 70% of the U.S. commercial building stock. Sixteen building types - including restaurants, health care, schools, offices, supermarkets, retail, lodging, and warehouses - are modeled across 16 cities to represent the diversity of U.S. climate zones. Weighting factors have been developed to combine the models in proportions similar to those of the McGraw-Hill Construction Projects Starts Database for 2003-2007. This paper reviews the development and contents of these models and their applications in simulation studies.

  7. Data-driven warehouse optimization : Deploying skills of order pickers

    NARCIS (Netherlands)

    M. Matusiak (Marek); M.B.M. de Koster (René); J. Saarinen (Jari)

    2015-01-01

    textabstractBatching orders and routing order pickers is a commonly studied problem in many picker-to-parts warehouses. The impact of individual differences in picking skills on performance has received little attention. In this paper, we show that taking into account differences in the skills of

  8. JEDDAH HISTORICAL BUILDING INFORMATION MODELING "JHBIM" OLD JEDDAH – SAUDI ARABIA

    Directory of Open Access Journals (Sweden)

    A. Baik

    2013-07-01

    Full Text Available The historic city of Jeddah faces serious issues in the conservation, documentation and recording of its valuable building stock. Terrestrial Laser Scanning and Architectural Photogrammetry have already been used in many Heritage sites in the world. The integration of heritage recording and Building Information Modelling (BIM has been introduced as HBIM and is now a method to document and manage these buildings. In the last decade many traditional surveying methods were used to record the buildings in Old Jeddah. However, these methods take a long time, can sometimes provide unreliable information and often lack completeness. This paper will look at another approach for heritage recording by using the Jeddah Historical Building Information Modelling (JHBIM.

  9. Impact of the buildings areas on the fire incidence.

    Science.gov (United States)

    Srekl, Jože; Golob, Janvit

    2010-03-01

    A survey of statistical studies shows that probability of fires is expressed by the equation P(A) = KAα, where A = total floor area of the building and K and  are constants for an individual group, or risk category. This equation, which is based on the statistical data on fires in Great Britain, does not include the impact factors such as the number of employees and the activities carried out in these buildings. In order to find out possible correlations between the activities carried out in buildings, the characteristics of buildings and number of fires, we used a random sample which included 134 buildings as industrial objects, hotels, restaurants, warehouses and shopping malls. Our study shows that the floor area of buildings has low impact on the incidence of fires. After analysing the sample of buildings by using multivariate analysis we proved a correlation between the number of fires, floor area of objects, work operation period (per day) and the number of employees in objects.

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

    Directory of Open Access Journals (Sweden)

    Marco G. Mariani

    2017-05-01

    Full Text Available 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.

  11. WATCHMAN: A Data Warehouse Intelligent Cache Manager

    Science.gov (United States)

    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.

  12. Storage of hazardous substances in bonded warehouses

    International Nuclear Information System (INIS)

    Villalobos Artavia, Beatriz

    2008-01-01

    A variety of special regulations exist in Costa Rica for registration and transport of hazardous substances; these set the requirements for entry into the country and the security of transport units. However, the regulations mentioned no specific rules for storing hazardous substances. Tax deposits have been the initial place where are stored the substances that enter the country.The creation of basic rules that would be regulating the storage of hazardous substances has taken place through the analysis of regulations and national and international laws governing hazardous substances. The regulatory domain that currently exists will be established with a field research in fiscal deposits in the metropolitan area. The storage and security measures that have been used by the personnel handling the substances will be identified to be putting the reality with that the hazardous substances have been handled in tax deposits. A rule base for the storage of hazardous substances in tax deposits can be made, protecting the safety of the environment in which are manipulated and avoiding a possible accident causing a mess around. The rule will have the characteristics of the storage warehouses hazardous substances, such as safety standards, labeling standards, infrastructure features, common storage and transitional measures that must possess and meet all bonded warehouses to store hazardous substances. (author) [es

  13. 2009 Capacity Building For Library and Information Centre

    African Journals Online (AJOL)

    discussed the features of digitized/virtual library and information centre and the need for capacity building especially in .... electronic library, virtual reality, digital library, community library .... architecture of the existing information system and ...

  14. C-A1-04: Challenges Faced as New Members of the HMO Research Network Virtual Data Warehouse

    Science.gov (United States)

    Godwin, Debbie; Mahajan, Bhushan; Silcott, Monica; Kjar, Dean

    2011-01-01

    Background/Aims This presentation will focus on challenges faced by new HMO Research Network (HMORN) sites and their experiences with the Virtual Data Warehouse (VDW) tables for version 3 specifications. The step-by-step procedure developed by Scott and White will be showcased to provide a head start for new incoming sites. Sharing lessons learned during our one year in the HMORN VDW, our objective is to provide best practices regarding resources, time allocation, priorities, schedules, financing, backups, and possible available alternatives. Methods The comprehensive procedure followed by Scott & White to build VDW V3 tables: Setting up your SAS Environment Establishing an architecture and components Analyzing and forecasting server specifications; Identifying and understanding the multiple data sorces embedded in your organization Claims data EMR Lab Pharmacy Other; Detailed variable mapping of sources to VDW specifications; Assessment of source data availability; Getting your site’s first feed from the source and following through with quality checks; Methods for building transformation logic for the table; Choosing the methodology to approach table-building. Results We will showcase Scott & White metrics for building a VDW starting with version 3 and best practices used. We improved the validity and completeness of the data through person-to-person interactions with claims personnel who often were disinterested in the needs of research. Having strong advocates who think of research as a part of the institutional mission was helpful. The VDW data team included a sole programmer for the first 6 months along with the Site Data Manager; adding a second programmer improved the rate of progress. Conclusions A structured, step-by-step, approach is recommended for new incoming sites joining the HMORN. This approach will optimize efficiency and effectiveness. The more information and guidance the existing members can provide, the better the achieved results will be

  15. IMPROVING TRADITIONAL BUILDING REPAIR CONSTRUCTION QUALITY USING HISTORIC BUILDING INFORMATION MODELING CONCEPT

    Directory of Open Access Journals (Sweden)

    T. C. Wu

    2013-07-01

    Full Text Available In addition to the repair construction project following the repair principles contemplated by heritage experts, the construction process should be recorded and measured at any time for monitoring to ensure the quality of repair. The conventional construction record methods mostly depend on the localized shooting of 2D digital images coupled with text and table for illustration to achieve the purpose of monitoring. Such methods cannot fully and comprehensively record the 3D spatial relationships in the real world. Therefore, the construction records of traditional buildings are very important but cannot function due to technical limitations. This study applied the 3D laser scanning technology to establish a 3D point cloud model for the repair construction of historical buildings. It also broke down the detailed components of the 3D point cloud model by using the concept of the historic building information modeling, and established the 3D models of various components and their attribute data in the 3DGIS platform database. In the construction process, according to the time of completion of each stage as developed on the construction project, this study conducted the 3D laser scanning and database establishment for each stage, also applied 3DGIS spatial information and attribute information comparison and analysis to propose the analysis of differences in completion of various stages for improving the traditional building repair construction quality. This method helps to improve the quality of repair construction work of tangible cultural assets of the world. The established 3DGIS platform can be used as a power tool for subsequent management and maintenance.

  16. Information delivery manuals to integrate building product information into design

    DEFF Research Database (Denmark)

    Berard, Ole Bengt; Karlshøj, Jan

    2013-01-01

    Despite continuing BIM progress, professionals in the AEC industry often lack the information they need to perform their work. Although this problem could be alleviated by information systems similar to those in other industries, companies struggle to model processes and information needs....... Traditional business process modeling languages often fail to completely cover all four perspectives. BuildingSMART has proposed Information Delivery Manuals (IDMs) to model and re-engineer processes that address the four perspectives through a collaborative methodology in order to standardize and implement...... in the manner necessary to develop information systems that support digital collaboration, workflows, and information exchange. Processes for information systems can be described from four perspectives: task sequence, information need, organizational interaction, and required logic for the specific task...

  17. Information architecture for building digital library | Obuh ...

    African Journals Online (AJOL)

    The paper provided an overview of constituent elements of a digital library and explained the underlying information architecture and building blocks for a digital library. It specifically proffered meaning to the various elements or constituents of a digital library system. The paper took a look at the structure of information as a ...

  18. Tabu search approaches for the multi-level warehouse layout problem with adjacency constraints

    Science.gov (United States)

    Zhang, G. Q.; Lai, K. K.

    2010-08-01

    A new multi-level warehouse layout problem, the multi-level warehouse layout problem with adjacency constraints (MLWLPAC), is investigated. The same item type is required to be located in adjacent cells, and horizontal and vertical unit travel costs are product dependent. An integer programming model is proposed to formulate the problem, which is NP hard. Along with a cube-per-order index policy based heuristic, the standard tabu search (TS), greedy TS, and dynamic neighbourhood based TS are presented to solve the problem. The computational results show that the proposed approaches can reduce the transportation cost significantly.

  19. Implementación de un piloto del componente comercial del data warehouse de Etapatelecom

    OpenAIRE

    Vélez Iñiguez, Roberto José

    2008-01-01

    El sistema a desarrollar se enmarca en una arquitectura de Data Warehouse, cuyo objetivo es extraer información de los Sistemas Transaccionales disponibles en Etapatelecom para ser usada en una Base de Datos orientada a la toma de decisiones (Data Warehouse) para el Área Comercial de la Empresa. El procedimiento se inicia con un análisis de los requerimientos de los usuarios estratégicos del Área Comercial de Etapatelecom donde se identifican los indicadores de negocio (Medidas) y las Dimensi...

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

    Science.gov (United States)

    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.

  1. Atlas – a data warehouse for integrative bioinformatics

    Directory of Open Access Journals (Sweden)

    Yuen Macaire MS

    2005-02-01

    Full Text Available Abstract 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

  2. Building Information Modeling Comprehensive Overview

    Directory of Open Access Journals (Sweden)

    Sergey Kalinichuk

    2015-07-01

    Full Text Available The article is addressed to provide a comprehensive review on recently accelerated development of the Information Technology within project market such as industrial, engineering, procurement and construction. Author’s aim is to cover the last decades of the growth of the Information and Communication Technology in construction industry in particular Building Information Modeling and testifies that the problem of a choice of the effective project realization method not only has not lost its urgency, but has also transformed into one of the major condition of the intensive technology development. All of it has created a great impulse on shortening the project duration and has led to the development of various schedule compression techniques what becomes a focus of modern construction.

  3. Probabilistic Data Modeling and Querying for Location-Based Data Warehouses

    DEFF Research Database (Denmark)

    Timko, Igor; Dyreson, Curtis E.; Pedersen, Torben Bach

    Motivated by the increasing need to handle complex, dynamic, uncertain multidimensional data in location-based warehouses, this paper proposes a novel probabilistic data model that can address the complexities of such data. The model provides a foundation for handling complex hierarchical and unc...

  4. Probabilistic Data Modeling and Querying for Location-Based Data Warehouses

    DEFF Research Database (Denmark)

    Timko, Igor; Dyreson, Curtis E.; Pedersen, Torben Bach

    2005-01-01

    Motivated by the increasing need to handle complex, dynamic, uncertain multidimensional data in location-based warehouses, this paper proposes a novel probabilistic data model that can address the complexities of such data. The model provides a foundation for handling complex hierarchical and unc...

  5. A Foundation for Spatial Data Warehouses on the Semantic Web


    DEFF Research Database (Denmark)

    Gur, Nurefsan; Pedersen, Torben Bach; Zimaányi, Esteban

    2017-01-01

    Large volumes of geospatial data are being published on the Semantic Web (SW), yielding a need for advanced analysis of such data. However, existing SW technologies only support advanced analytical concepts such as multidimensional (MD) data warehouses and Online Analytical Processing (OLAP) over...

  6. Development of National Health Data Warehouse for Data Mining

    Directory of Open Access Journals (Sweden)

    Shahidul Islam Khan

    2015-07-01

    Full Text Available Health informatics is currently one of the top focuses of computer science researchers. Availability of timely and accurate data is essential for medical decision making. Health care organizations face a common problem with the large amount of data they have in numerous systems. Researchers, health care providers and patients will not be able to utilize the knowledge stored in different repositories unless amalgamate the information from disparate sources is done. This problem can be solved by Data warehousing. Data warehousing techniques share a common set of tasks, include requirements analysis, data design, architectural design, implementation and deployment. Developing health data warehouse is complex and time consuming but is also essential to deliver quality health services. This paper depicts prospects and complexities of health data warehousing and mining and illustrate a data-warehousing model suitable for integrating data from different health care sources to discover effective knowledge.

  7. Heuristics for multi-item two-echelon spare parts inventory control problem with batch ordering in the central warehouse

    NARCIS (Netherlands)

    Topan, E.; Bayindir, Z.P.; Tan, T.

    2010-01-01

    We consider a multi-item two-echelon inventory system in which the central warehouse operates under a (Q;R) policy, and each local warehouse implements (S ¡ 1; S) policy. The objective is to find the policy parameters minimizing expected system-wide inventory holding and fixed ordering costs subject

  8. 7 CFR 735.401 - Electronic warehouse receipt and USWA electronic document providers.

    Science.gov (United States)

    2010-01-01

    ... audit level financial statement prepared according to generally accepted accounting standards as defined... warehouse receipt requirements; (3) Liability; (4) Transfer of records protocol; (5) Records; (6) Conflict...

  9. Inventory of Heritage Building in Kampung Bandar Senapelan Pekanbaru City, RIAU

    Science.gov (United States)

    Cheris, Rika; Repi

    2017-12-01

    Heritage building is a building that has a character value of local history and culture in a village and city. This heritage building is usually located in city center and into the early development of a city. In Pekanbaru, there is a group of heritage buildings with some characters. The area named Bandar Senapelan on the edge of the Siak river which has been developed before the colonization of the Netherlands.This research was conducted with field observations and interviews with local residents and then conducted measurements on the building. The data collected are compiled into a table to make it easier to conduct an inventory of the identification of the structure and construction of the building as well as the types of responses. Some of the heritage buildings in the area of Bandar Senapelan were influenced by some ethnic groups such as Minangkabau, Malay and Chinese. Those buildings have distinctive character although they do not use too many elements of architectural art, but their existence is quite able to prove past glory in the city of Pekanbaru. In this research, a core zone area was created, then the buildings’ remains were calculated. After that, the calculations and sincronization were done with a map of virtue as many as 52 heritage buildings made of wood and stone. The buildings have different tipology, as a single home (individual), the home of the fisherman, merchant's house, warehouse, shop and home stores.The output from this research will generate a mapping of the heritage buildings and it is expected that it can provide useful information for the development of the city stakeholders to determine the direction of future development of Bandar Senapelan

  10. Security Data Warehouse Application

    Science.gov (United States)

    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.

  11. Measuring ICT usage quality for information society building

    DEFF Research Database (Denmark)

    Schlichter, Bjarne Rerup; Danylchenko, Lesya

    2014-01-01

    In 2003 the World Summit on Information Society made a call for measuring the state of Information Society (IS) building between countries. The purpose of the measuring was to assess and compare IS practices around the globe as well as share best practices. A number of measurement tools have sinc...... levels of ICT usage for the purpose of better policy-making, while establishing an information society, is accentuated....... these indicators on the actual levels of Information and Communication Technology (ICT) usage off the country’s stakeholders. This paper analyses the most currently used indices for measuring the state of Information Society building from the perspective of their constituent indicators. Based on the analysis......, an alternative framework for IS measurement, addressing the important aspects of ICT usage quality, is developed based on data from EU member states. By applying the framework on measuring of ICT usage quality at Romania, Cyprus and Estonia, the usefulness is tested positive, and the need to evaluate the actual...

  12. Data warehouse solution for energy management tasks of a power generation corporation in a competitive market; Data-Warehouse-Loesung fuer die Energiemanagementaufgaben eines Stromerzeugungsbereiches in einem wettbewerblichen Umfeld

    Energy Technology Data Exchange (ETDEWEB)

    Brugger, H. [Siemens AG, Vienna (Austria). Bereich Energieuebertragung und -verteilung; Nobach, U. [Siemens AG, Nuernberg (Germany). Bereich Energieuebertragung und -verteilung; Hoenes, R.; Vetter, T. [Neckarwerke Stuttgart AG (Germany)

    1999-04-19

    Liberalization of the energy market gives new requirements to the organization of the departments of utilities and their IT-solutions. The authors explain by using the example of the new energy management system for Neckarwerke Stuttgart AG, how a modern Data Warehouse-platform is created for the operative and economic tasks for electricity supply and district heating in a competitive market. (orig.) [Deutsch] Aufgrund der Liberalisierung des Strommarktes erwachsen bei den Energieversorgungsunternehmen neue Anforderungen an die Organisation der Geschaeftsbereiche und an die EDV-Hilfsmittel. Die Verfasser erlaeutern am Beispiel des neuen Energiemanagementsystems fuer die Neckarwerke Stuttgart AG wie mit einem modernen Data Warehouse die Plattform fuer die Loesung der operativen und der wirtschaftlichen Aufgaben der Strom- und Fernwaermebeschaffung in einem Wettbewerbsumfeld geschaffen werden kann. (orig.)

  13. PENGEMBANGAN DATA WAREHOUSE DAN ON-LINE ANALYTICAL PROCESSING (OLAP UNTUK PENEMUAN INFORMASI DAN ANALISIS DATA (Studi Kasus : Sistem Informasi Penerimaan Mahasiswa Baru STMIK AMIKOM PURWOKERTO

    Directory of Open Access Journals (Sweden)

    Giat Karyono

    2011-08-01

    Full Text Available Background preparation of this thesis report, Silva (2007 mentions that the competition for students between universities was inevitable as it grows, universities should equip themselves to survive in the competition that ultimately colleges that are not sensitive to compete. The demand for a high performance organization that has also faced by STMIK AMIKOM Purwokerto. Existing data on the colleges that are so big and much needed storage space allocation will be helped and be efficient with the data warehouse (Wikramanayake, 2006. Based on the data management / decision makers in education institutions is always a constant attempt to find an information / decision analysis that are useful in the search for new students. For the needs of the analysis method was used OLAP (OnLine Analytical Processing which presents the data in the form of multidimensional query that is easier to be presented and analyzed.Data collection methods used in the preparation of this report include the method of observation of interviews and field studies, literature, internet search, as well as observing systems that are already running.This research was conducted with the following steps: 1 The analysis system that includes the current SIPMB analysis, identification of the cause of the problem, analysis of system requirements. 2 System design, including design of data warehouses and OLAP applications PMB. This design produces data warehouse architecture, data modeling dimensional, the establishment of a data warehouse, OLAP stakeholders PMB, PMB OLAP viewpoint, scenario, model systems, and user interface design. 3 Implementation, covers the application of OLAP applications PMB and operations performed included, 4 testing system, test the product in accordance with ISO 9126 software includes six quality characteristics of Functionality, Reliability, Usability, efficiency, Maintainability, Portability. In order not to interfere the performance of the operational

  14. Introduction of Building Information Modeling (BIM) Technologies in Construction

    Science.gov (United States)

    Milyutina, M. A.

    2018-05-01

    The issues of introduction of building information modeling (BIM) in construction industry are considered in this work. The advantages of this approach and perspectives of the transition to new design technologies, construction process management, and operation in the near future are stated. The importance of development of pilot projects that should identify the ways and means of verification of the regulatory and technical base, as well as economic indicators in the transition to Building Information Technologies in the construction, is noted.

  15. Knowledge management and information tools for building maintenance and facility management

    CERN Document Server

    Talamo, Cinzia

    2015-01-01

    This book describes the latest methods and tools for the management of information within facility management services and explains how it is possible to collect, organize, and use information over the life cycle of a building in order to optimize the integration of these services and improve the efficiency of processes. The coverage includes presentation and analysis of basic concepts, procedures, and international standards in the development and management of real estate inventories, building registries, and information systems for facility management. Models of strategic management are discussed and the functions and roles of the strategic management center, explained.  Detailed attention is also devoted to building information modeling (BIM) for facility management and potential interactions between information systems and BIM applications. Criteria for evaluating information system performance are identified, and guidelines of value in developing technical specifications for facility management service...

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

    Science.gov (United States)

    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.

  17. Building information models for astronomy projects

    Science.gov (United States)

    Ariño, Javier; Murga, Gaizka; Campo, Ramón; Eletxigerra, Iñigo; Ampuero, Pedro

    2012-09-01

    A Building Information Model is a digital representation of physical and functional characteristics of a building. BIMs represent the geometrical characteristics of the Building, but also properties like bills of quantities, definition of COTS components, status of material in the different stages of the project, project economic data, etc. The BIM methodology, which is well established in the Architecture Engineering and Construction (AEC) domain for conventional buildings, has been brought one step forward in its application for Astronomical/Scientific facilities. In these facilities steel/concrete structures have high dynamic and seismic requirements, M&E installations are complex and there is a large amount of special equipment and mechanisms involved as a fundamental part of the facility. The detail design definition is typically implemented by different design teams in specialized design software packages. In order to allow the coordinated work of different engineering teams, the overall model, and its associated engineering database, is progressively integrated using a coordination and roaming software which can be used before starting construction phase for checking interferences, planning the construction sequence, studying maintenance operation, reporting to the project office, etc. This integrated design & construction approach will allow to efficiently plan construction sequence (4D). This is a powerful tool to study and analyze in detail alternative construction sequences and ideally coordinate the work of different construction teams. In addition engineering, construction and operational database can be linked to the virtual model (6D), what gives to the end users a invaluable tool for the lifecycle management, as all the facility information can be easily accessed, added or replaced. This paper presents the BIM methodology as implemented by IDOM with the E-ELT and ATST Enclosures as application examples.

  18. Benefits of a clinical data warehouse with data mining tools to collect data for a radiotherapy trial.

    Science.gov (United States)

    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 (pdata 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.

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

    Science.gov (United States)

    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...

  20. Combining Data Warehouse and Data Mining Techniques for Web Log Analysis

    DEFF Research Database (Denmark)

    Pedersen, Torben Bach; Jespersen, Søren; Thorhauge, Jesper

    2008-01-01

    a number of approaches thatcombine data warehousing and data mining techniques in order to analyze Web logs.After introducing the well-known click and session data warehouse (DW) schemas,the chapter presents the subsession schema, which allows fast queries on sequences...

  1. Protocol to Manage Heritage-Building Interventions Using Heritage Building Information Modelling (HBIM

    Directory of Open Access Journals (Sweden)

    Isabel Jordan-Palomar

    2018-03-01

    Full Text Available The workflow in historic architecture projects presents problems related to the lack of clarity of processes, dispersion of information and the use of outdated tools. Different heritage organisations have showed interest in innovative methods to resolve those problems and improve cultural tourism for sustainable economic development. Building Information Modelling (BIM has emerged as a suitable computerised system for improving heritage management. Its application to historic buildings is named Historic BIM (HBIM. HBIM literature highlights the need for further research in terms of the overall processes of heritage projects, its practical implementation and a need for better cultural documentation. This work uses Design Science Research to develop a protocol to improve the workflow in heritage interdisciplinary projects. Research techniques used include documentary analysis, semi-structured interviews and focus groups. HBIM is proposed as a virtual model that will hold heritage data and will articulate processes. As a result, a simple and visual HBIM protocol was developed and applied in a real case study. The protocol was named BIMlegacy and it is divided into eight phases: building registration, determine intervention options, develop design for intervention, planning the physical intervention, physical intervention, handover, maintenance and culture dissemination. It contemplates all the stakeholders involved.

  2. You plan, you test and then it happens: Lessons learned from the Schneider warehouse tornado recovery.

    Science.gov (United States)

    Marotz, William T

    2017-12-01

    This paper is about the experience gained and lessons learned while dealing with the long-term recovery of Schneider's Port Logistics Division following extensive damage to three warehouse/ office facilities in Savannah, GA on 25th April, 2015. This paper will provide insight into how the initial assessments were handled, how the skill sets needed by the response teams were determined, and what further actions were triggered as more detailed information was received and assessed by the leadership team. This paper will also provide information as to how closely the company followed its existing contingency and disaster recovery plans, as well as where those plans fell short and where it was necessary to make adjustments as the recovery progressed.

  3. Impacts of building information modeling on facility maintenance management

    Energy Technology Data Exchange (ETDEWEB)

    Ahamed, Shafee; Neelamkavil, Joseph; Canas, Roberto [Centre for Computer-assisted Construction Technologies, National Research Council of Canada, London, Ontario (Canada)

    2010-07-01

    Building information modeling (BIM) is a digital representation of the physical and functional properties of a building; it has been used by construction professionals for a long time and stakeholders are now using it in different aspects of the building lifecycle. This paper intends to present how BIM impacts the construction industry and how it can be used for facility maintenance management. The maintenance and operations of buildings are in most cases still managed through the use of drawings and spreadsheets although life cycle costs of a building are significantly higher than initial investment costs; thus, the use of BIM could help in achieving a higher efficiency and so important benefits. This study is part of an ongoing research project, the nD modeling project, which aims at predicting building energy consumption with better accuracy.

  4. Intelligent use of buildings' energy information

    Energy Technology Data Exchange (ETDEWEB)

    Ala-Juusela, M., Email: mia.ala-juusela@vtt.fi

    2012-06-15

    The IntUBE project will increase the possibility of reaching the European Commission's energy efficiency goals by facilitating more efficient use of the existing building stock. IntUBE stands for Intelligent Use of Buildings' Energy Information. The results of the IntUBE-project are expected not only to enhance the comfort levels of building users, but also to reduce overall energy costs through better energy efficiency. The IntUBE project was a European cooperation between twelve partners from nine European countries and received funding from the European Commission. The project was implemented between May 2009 and April 2011. The IntUBE consortium spans key research partners from northern to southern Europe including SMEs committed to exploiting the results of the project. The project was coordinated by VTT. (orig.)

  5. Criticality calculation of the nuclear material warehouse of the ININ; Calculo de criticidad del almacen del material nuclear del ININ

    Energy Technology Data Exchange (ETDEWEB)

    Garcia, T.; Angeles, A.; Flores C, J., E-mail: teodoro.garcia@inin.gob.mx [ININ, Carretera Mexico-Toluca s/n, 52750 Ocoyoacac, Estado de Mexico (Mexico)

    2013-10-15

    In this work the conditions of nuclear safety were determined as much in normal conditions as in the accident event of the nuclear fuel warehouse of the reactor TRIGA Mark III of the Instituto Nacional de Investigaciones Nucleares (ININ). The warehouse contains standard fuel elements Leu - 8.5/20, a control rod with follower of standard fuel type Leu - 8.5/20, fuel elements Leu - 30/20, and the reactor fuel Sur-100. To check the subcritical state of the warehouse the effective multiplication factor (keff) was calculated. The keff calculation was carried out with the code MCNPX. (Author)

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

    Science.gov (United States)

    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.

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

    Science.gov (United States)

    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.

  8. Characteristics desired in clinical data warehouse for biomedical research.

    Science.gov (United States)

    Shin, Soo-Yong; Kim, Woo Sung; Lee, Jae-Ho

    2014-04-01

    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. 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. 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. 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.

  9. From Point Clouds to Building Information Models: 3D Semi-Automatic Reconstruction of Indoors of Existing Buildings

    Directory of Open Access Journals (Sweden)

    Hélène Macher

    2017-10-01

    Full Text Available The creation of as-built Building Information Models requires the acquisition of the as-is state of existing buildings. Laser scanners are widely used to achieve this goal since they permit to collect information about object geometry in form of point clouds and provide a large amount of accurate data in a very fast way and with a high level of details. Unfortunately, the scan-to-BIM (Building Information Model process remains currently largely a manual process which is time consuming and error-prone. In this paper, a semi-automatic approach is presented for the 3D reconstruction of indoors of existing buildings from point clouds. Several segmentations are performed so that point clouds corresponding to grounds, ceilings and walls are extracted. Based on these point clouds, walls and slabs of buildings are reconstructed and described in the IFC format in order to be integrated into BIM software. The assessment of the approach is proposed thanks to two datasets. The evaluation items are the degree of automation, the transferability of the approach and the geometric quality of results of the 3D reconstruction. Additionally, quality indexes are introduced to inspect the results in order to be able to detect potential errors of reconstruction.

  10. a Statistical Texture Feature for Building Collapse Information Extraction of SAR Image

    Science.gov (United States)

    Li, L.; Yang, H.; Chen, Q.; Liu, X.

    2018-04-01

    Synthetic Aperture Radar (SAR) has become one of the most important ways to extract post-disaster collapsed building information, due to its extreme versatility and almost all-weather, day-and-night working capability, etc. In view of the fact that the inherent statistical distribution of speckle in SAR images is not used to extract collapsed building information, this paper proposed a novel texture feature of statistical models of SAR images to extract the collapsed buildings. In the proposed feature, the texture parameter of G0 distribution from SAR images is used to reflect the uniformity of the target to extract the collapsed building. This feature not only considers the statistical distribution of SAR images, providing more accurate description of the object texture, but also is applied to extract collapsed building information of single-, dual- or full-polarization SAR data. The RADARSAT-2 data of Yushu earthquake which acquired on April 21, 2010 is used to present and analyze the performance of the proposed method. In addition, the applicability of this feature to SAR data with different polarizations is also analysed, which provides decision support for the data selection of collapsed building information extraction.

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

    Science.gov (United States)

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

    International Nuclear Information System (INIS)

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

    2014-01-01

    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

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

    Science.gov (United States)

    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.

  14. Information system for property management. Prestudy; Kiinteistoejohtamisen tietojaerjestelmae. Esitutkimus

    Energy Technology Data Exchange (ETDEWEB)

    Laurila, S.; Kiiras, J.

    2003-07-01

    The objective of this research is to study the types of management systems does property management company need for information management services. A management system should communicate with all kinds of information systems that are used by real estate owners. Within the management system real estate information should be processed into form of documents. Mainly, these documents are plans and reports that a property manager prepares for the owner in question. Property management is here seen as a strategic and operative management function of real estate ownership, facilities, maintenance and development. An outsourced property management is a specialized service provided for the real estate owner. Services offered by a property management company are strategic planning and implementation, management of operative work, and strategy realigning. Property management information consists of plans and reports that can be presented on three levels. The highest, strategic level concerns owner's real estate portfolio as a whole. The middle, business level consists of real estate business information over several years. The lowest, annual level concerns operative information on a yearly basis. The suggested management system is based on a data warehouse technique. Information sources of a data warehouse involve both internal, operative information systems of real estate owners and external information sources. The information needed for planning and reporting will be delivered to the data warehouse on demand. (orig.)

  15. Application of 6D Building Information Model (6D BIM) for Business-storage Building in Slovenia

    Science.gov (United States)

    Pučko, Zoran; Vincek, Dražen; Štrukelj, Andrej; Šuman, Nataša

    2017-10-01

    The aim of this paper is to present an application of 6D building information modelling (6D BIM) on a real business-storage building in Slovenia. First, features of building maintenance in general are described according to the current Slovenian legislation, and also a general principle of BIM is given. After that, step-by-step activities for modelling 6D BIM are exposed, namely from Element list for maintenance, determination of their lifetime and service measures, cost analysing and time analysing to 6D BIM modelling. The presented 6D BIM model is designed in a unique way in which cost analysis is performed as 5D BIM model with linked data to use BIM Construction Project Management Software (Vico Office), integrated with 3D BIM model, whereas time analysis as 4D BIM model is carried out as non-linked data with the help of Excel (without connection to 3D BIM model). The paper is intended to serve as a guide to the building owners to prepare 6D BIM and to provide an insight into the relevant dynamic information about intervals and costs for execution of maintenance works in the whole building lifecycle.

  16. Case study: how to apply data mining techniques in a healthcare data warehouse.

    Science.gov (United States)

    Silver, M; Sakata, T; Su, H C; Herman, C; Dolins, S B; O'Shea, M J

    2001-01-01

    Healthcare provider organizations are faced with a rising number of financial pressures. Both administrators and physicians need help analyzing large numbers of clinical and financial data when making decisions. To assist them, Rush-Presbyterian-St. Luke's Medical Center and Hitachi America, Ltd. (HAL), Inc., have partnered to build an enterprise data warehouse and perform a series of case study analyses. This article focuses on one analysis, which was performed by a team of physicians and computer science researchers, using a commercially available on-line analytical processing (OLAP) tool in conjunction with proprietary data mining techniques developed by HAL researchers. The initial objective of the analysis was to discover how to use data mining techniques to make business decisions that can influence cost, revenue, and operational efficiency while maintaining a high level of care. Another objective was to understand how to apply these techniques appropriately and to find a repeatable method for analyzing data and finding business insights. The process used to identify opportunities and effect changes is described.

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

    Science.gov (United States)

    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.

  18. 76 FR 13972 - United States Warehouse Act; Export Food Aid Commodities Licensing Agreement

    Science.gov (United States)

    2011-03-15

    ..., nuts, cottonseed, and dry beans. Warehouse operators that apply voluntarily agree to be licensed... program for port and transload facility operators storing EFAC. This proposal is in response to the...

  19. The informed application of building-integrated wind power

    Energy Technology Data Exchange (ETDEWEB)

    Breshears, J.; Briscoe, C. [Zimmer Gunsal Frasca Architects, Portland, OR (United States)

    2009-07-01

    This paper reported on an exercise that was undertaken to integrate small-scale wind turbines into the design of an urban high-rise in Portland, Oregon. Wind behaviour in the urban environment is very complex, as the flow of wind over and around buildings often triggers multiple transitions of the air from laminar flow to turbulent. The study documented the process of moving beyond a simplistic approach to a truly informed application of building-integrated wind generation. The 4 key issues addressed in the study process were quantifying the geographical wind regime; predicting wind flow over the building; turbine selection; and pragmatics regarding the design of roof mounting to accommodate structural loads and mitigate vibration. The results suggested that the turbine array should produce in the range of only 1 per cent of the electrical load of the building. 13 refs., 11 figs.

  20. Using Fuzzy Linguistic Representations to Provide Explanatory Semantics for Data Warehouses

    NARCIS (Netherlands)

    Feng, L.; Dillon, Tharam S.

    A data warehouse integrates large amounts of extracted and summarized data from multiple sources for direct querying and analysis. While it provides decision makers with easy access to such historical and aggregate data, the real meaning of the data has been ignored. For example, "whether a total

  1. Managing warehouse efficiency and worker discomfort through enhanced storage assignment decisions

    NARCIS (Netherlands)

    Larco, José Antonio; De Koster, René; Roodbergen, Kees Jan; Dul, Jan

    2017-01-01

    Humans are at the heart of crucial processes in warehouses. Besides the common economic goal of minimising cycle times, we therefore add in this paper the human well-being goal of minimising workers' discomfort in the context of order picking. We propose amethodology for identifying the most

  2. Building National Health Research Information Systems (COHRED ...

    International Development Research Centre (IDRC) Digital Library (Canada)

    Building National Health Research Information Systems (COHRED). This grant will allow the Council on Health Research for Development (COHRED) to create, host and maintain a web-based resource on national health research in low- and middle-income countries in partnership with institutions in the South. Called ...

  3. Benefits of a clinical data warehouse with data mining tools to collect data for a radiotherapy trial

    International Nuclear Information System (INIS)

    Roelofs, Erik; Persoon, Lucas; Nijsten, Sebastiaan; Wiessler, Wolfgang; Dekker, André; Lambin, Philippe

    2013-01-01

    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

  4. InterMine: a flexible data warehouse system for the integration and analysis of heterogeneous biological data.

    Science.gov (United States)

    Smith, Richard N; Aleksic, Jelena; Butano, Daniela; Carr, Adrian; Contrino, Sergio; Hu, Fengyuan; Lyne, Mike; Lyne, Rachel; Kalderimis, Alex; Rutherford, Kim; Stepan, Radek; Sullivan, Julie; Wakeling, Matthew; Watkins, Xavier; Micklem, Gos

    2012-12-01

    InterMine is an open-source data warehouse system that facilitates the building of databases with complex data integration requirements and a need for a fast customizable query facility. Using InterMine, large biological databases can be created from a range of heterogeneous data sources, and the extensible data model allows for easy integration of new data types. The analysis tools include a flexible query builder, genomic region search and a library of 'widgets' performing various statistical analyses. The results can be exported in many commonly used formats. InterMine is a fully extensible framework where developers can add new tools and functionality. Additionally, there is a comprehensive set of web services, for which client libraries are provided in five commonly used programming languages. Freely available from http://www.intermine.org under the LGPL license. g.micklem@gen.cam.ac.uk Supplementary data are available at Bioinformatics online.

  5. 75 FR 71724 - Real Estate Settlement Procedures Act (RESPA): Solicitation of Information on Changes in...

    Science.gov (United States)

    2010-11-24

    ... credit approval decision with respect to each mortgage loan application? What level of scrutiny do... Procedures Act (RESPA): Solicitation of Information on Changes in Warehouse Lending and Other Loan Funding... guidance under RESPA to address possible changes in warehouse lending and other financing mechanisms used...

  6. The prediction of engineering cost for green buildings based on information entropy

    Science.gov (United States)

    Liang, Guoqiang; Huang, Jinglian

    2018-03-01

    Green building is the developing trend in the world building industry. Additionally, construction costs are an essential consideration in building constructions. Therefore, it is necessary to investigate the problems of cost prediction in green building. On the basis of analyzing the cost of green building, this paper proposes the forecasting method of actual cost in green building based on information entropy and provides the forecasting working procedure. Using the probability density obtained from statistical data, such as labor costs, material costs, machinery costs, administration costs, profits, risk costs a unit project quotation and etc., situations can be predicted which lead to cost variations between budgeted cost and actual cost in constructions, through estimating the information entropy of budgeted cost and actual cost. The research results of this article have a practical significance in cost control of green building. Additionally, the method proposed in this article can be generalized and applied to a variety of other aspects in building management.

  7. Informed consent -- Building consensus

    International Nuclear Information System (INIS)

    Lovenheim, R.

    1990-01-01

    The author shares his observations and offers an approach to 'building consensus' for what he believes is the only environmentally sound option, i.e., safe, permanent disposal of low-level radioactive waste (LLRW). Consensus does not mean unanimity, acceptance, or harmony. The low-level radioactive waste disposal issue is fraught with fear and hysteria. The paper discusses major emotions that fracture public opinion regarding this issue. The author defines consensus as the informed consent of LLRW disposal strategies by a majority of citizens whose cooperation is required to achieve the goals of environmentally sound solution. The political aspects are reviewed. The need for US Department of Energy to fulfill its importance technical assistance role is discussed

  8. 31 CFR 593.412 - Release of any round log or timber product originating in Liberia from a bonded warehouse or...

    Science.gov (United States)

    2010-07-01

    ... product originating in Liberia from a bonded warehouse or foreign trade zone. 593.412 Section 593.412... 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...

  9. Data Warehouse for Professional Skills Required on the IT Labor Market

    Directory of Open Access Journals (Sweden)

    Cristian GEORGESCU

    2012-11-01

    Full Text Available This paper represents a research regarding informatics graduates professional level adjustment to specific requirements of the IT labor market. It uses techniques and models for data warehouse technology to allow a comparative analysis between the supply competencies and the skills demand on the IT labor market.

  10. Determining The Optimal Order Picking Batch Size In Single Aisle Warehouses

    NARCIS (Netherlands)

    T. Le-Duc (Tho); M.B.M. de Koster (René)

    2002-01-01

    textabstractThis work aims at investigating the influence of picking batch size to average time in system of orders in a one-aisle warehouse under the assumption that order arrivals follow a Poisson process and items are uniformly distributed over the aisle's length. We model this problem as an

  11. 76 FR 56780 - Notice of Proposed Information Collection: Comment Request; Capacity Building for Sustainable...

    Science.gov (United States)

    2011-09-14

    ... Information Collection: Comment Request; Capacity Building for Sustainable Communities Program: Notice of... public comments on the subject proposal. The Capacity Building for Sustainable Communities Program... also lists the following information: Title of Proposal: Capacity Building for Sustainable Communities...

  12. An exact solution procedure for multi-item two-echelon spare parts inventory control problem with batch ordering in the central warehouse

    NARCIS (Netherlands)

    Topan, E.; Bayindir, Z.P.; Tan, T.

    2009-01-01

    We consider a multi-item two-echelon inventory system in which the central warehouse operates under a (Q; R) policy, and the local warehouses implement basestock policy. An exact solution procedure is proposed to find the inventory control policy parameters that minimize the system-wide inventory

  13. 77 FR 20353 - United States Warehouse Act; Export Food Aid Commodities Licensing Agreement

    Science.gov (United States)

    2012-04-04

    ... licensing agreement include, but are not limited to, corn soy blend, vegetable oil, and pulses such as peas, beans, and lentils. USWA licensing is a voluntary program. Warehouse operators that apply for USWA...

  14. Reducing the operational energy demand in buildings using building information modeling tools and sustainability approaches

    Directory of Open Access Journals (Sweden)

    Mojtaba Valinejad Shoubi

    2015-03-01

    Full Text Available A sustainable building is constructed of materials that could decrease environmental impacts, such as energy usage, during the lifecycle of the building. Building Information Modeling (BIM has been identified as an effective tool for building performance analysis virtually in the design stage. The main aims of this study were to assess various combinations of materials using BIM and identify alternative, sustainable solutions to reduce operational energy consumption. The amount of energy consumed by a double story bungalow house in Johor, Malaysia, and assessments of alternative material configurations to determine the best energy performance were evaluated by using Revit Architecture 2012 and Autodesk Ecotect Analysis software to show which of the materials helped in reducing the operational energy use of the building to the greatest extent throughout its annual life cycle. At the end, some alternative, sustainable designs in terms of energy savings have been suggested.

  15. Quality of web-based family-building information for LGBTQ individuals.

    Science.gov (United States)

    Kreines, Fabiana M; Farr, Alex; Chervenak, Frank A; Grünebaum, Amos

    2018-02-01

    The number of patients who seek health information on the internet is increasing. Rates are particularly high among lesbian, gay, bisexual, transgender and queer (LGBTQ) individuals, due to health care barriers. The aim of this study was to evaluate the quality and inclusivity of web-based information pertaining to LGBTQ family building. The first 100 US-based websites pertaining to LGBTQ family building were identified through a terminology-based internet search. After eliminating 45 websites, 55 websites were found to be eligible. The 2016 Website Information Reliability Evaluation Instrument (of the Office of Disease Prevention and Health Promotion, US Department of Health and Human Services) was used to analyse the quality of information on each website. Websites were analysed for inclusivity of important topics surrounding LGBTQ family building. A total of 46 websites (83.6%) belonged or were related to reproductive services and served as advertisements for their respective owners; nine websites (16.4%) belonged to third parties. No website met more than four of the six major reliability criteria, and 42 websites (76.4%) met only one or two of the six major reliability criteria. When inclusivity was considered, 29 websites (52.7%) mentioned options for transgender individuals and nine websites (16.4%) mentioned adoption. There is a lack of reliable web-based information for LGBTQ family building and a need for improvement in quality and scope. Improvements could lead to a shift in reproductive health care towards better inclusion of and catering to LGBTQ individuals.

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

    Science.gov (United States)

    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.

  17. 75 FR 18824 - Agency Information Collection Activities: Notice of Intent To Renew Collection 3038-0019, Stocks...

    Science.gov (United States)

    2010-04-13

    ... Renew Collection 3038-0019, Stocks of Grain in Licensed Warehouses AGENCY: Commodity Futures Trading... relating to information collected to assist the Commission in the prevention of market manipulation. DATES...., permitting electronic submission of responses. Stocks of Grain in Licensed Warehouses, OMB Control No. 3038...

  18. 5D Building Information Modelling – A Practicability Review

    Directory of Open Access Journals (Sweden)

    Lee Xia Sheng

    2016-01-01

    Full Text Available Quality, time and cost are the three most important elements in any construction project. Building information that comes timely and accurately in multiple dimensions will facilitate a refined decision making process which can improve the construction quality, time and cost. 5 dimensional Building Information Modelling or 5D BIM is an emerging trend in the construction industry that integrates all the major information starting from the initial design to the final construction stage. After that, the integrated information is arranged and communicated through Virtual Design and Construction (VDC. This research is to gauge the practicability of 5D BIM with an action research type pilot study by the means of hands-on modelling of a conceptual bungalow design based on one of the most popular BIM tools. A bungalow is selected as a study subject to simulate the major stages of 5D BIM digital workflow. The whole process starts with developing drawings (2D into digital model (3D, and is followed by the incorporation of time (4D and cost (5D. Observations are focused on the major factors that will affect the practicability of 5D BIM, including the modelling effort, inter-operability, information output and limitations. This research concludes that 5D BIM certainly has high level practicability which further differentiates BIM from Computer Aided Design (CAD. The integration of information not only enhanced the efficiency and accuracy of process in all stages, but also enabled decision makers to have a sophisticated interpretation of information which is almost impossible with the conventional 2D CAD workflow. Although it is possible to incorporate more than 5 dimensions of information, it is foreseeable that excessive information may escalate the complexity unfavourably for BIM implementation. 5D BIM has achieved a significant level of practicability; further research should be conducted to streamline implementation. Once 5D BIM is matured and widely

  19. Diseño e implementación del data warehouse de una cadena de tiendas de ropa

    OpenAIRE

    Camba Fuentes, Jesús Antonio

    2016-01-01

    Una importante cadena de ropa solicita propuestas para crear un sistema de base de datos que actúe como data warehouse centralizado. La finalidad es poder tomar decisiones analizando el funcionamiento del negocio. A lo largo del documento se explican las etapas realizadas para entregar una solución acorde a las necesidades del cliente. Una important cadena de roba sol·licita propostes per crear un sistema de bases de dades que actuï com a data warehouse centralitzat. La finalitat és poder ...

  20. 19 CFR 19.4 - CBP and proprietor responsibility and supervision over warehouses.

    Science.gov (United States)

    2010-04-01

    ... or their authorized agent. (4) Records maintenance—(i) Maintenance. The proprietor shall: (A... proprietor shall maintain the warehouse facility in a safe and sanitary condition and establish procedures... seals. (7) Storage conditions. Merchandise in the bonded area shall be stored in a safe and sanitary...

  1. Estimation of warehouse throughput in freight transport demand model for the Netherlands

    NARCIS (Netherlands)

    Davydenko, I.; Tavasszy, L.

    2013-01-01

    This paper presents an extension of the classical four-step freight modeling framework with a logistics chain model. Modeling logistics at the regional level establishes a link between trade flow and transport flow, allows the warehouse and distribution center locations and throughput volumes to be

  2. Public health component in building information modeling

    Science.gov (United States)

    Trufanov, A. I.; Rossodivita, A.; Tikhomirov, A. A.; Berestneva, O. G.; Marukhina, O. V.

    2018-05-01

    A building information modelling (BIM) conception has established itself as an effective and practical approach to plan, design, construct, and manage buildings and infrastructure. Analysis of the governance literature has shown that the BIM-developed tools do not take fully into account the growing demands from ecology and health fields. In this connection, it is possible to offer an optimal way of adapting such tools to the necessary consideration of the sanitary and hygienic specifications of materials used in construction industry. It is proposed to do it through the introduction of assessments that meet the requirements of national sanitary standards. This approach was demonstrated in the case study of Revit® program.

  3. The system for statistical analysis of logistic information

    Directory of Open Access Journals (Sweden)

    Khayrullin Rustam Zinnatullovich

    2015-05-01

    Full Text Available The current problem for managers in logistic and trading companies is the task of improving the operational business performance and developing the logistics support of sales. The development of logistics sales supposes development and implementation of a set of works for the development of the existing warehouse facilities, including both a detailed description of the work performed, and the timing of their implementation. Logistics engineering of warehouse complex includes such tasks as: determining the number and the types of technological zones, calculation of the required number of loading-unloading places, development of storage structures, development and pre-sales preparation zones, development of specifications of storage types, selection of loading-unloading equipment, detailed planning of warehouse logistics system, creation of architectural-planning decisions, selection of information-processing equipment, etc. The currently used ERP and WMS systems did not allow us to solve the full list of logistics engineering problems. In this regard, the development of specialized software products, taking into account the specifics of warehouse logistics, and subsequent integration of these software with ERP and WMS systems seems to be a current task. In this paper we suggest a system of statistical analysis of logistics information, designed to meet the challenges of logistics engineering and planning. The system is based on the methods of statistical data processing.The proposed specialized software is designed to improve the efficiency of the operating business and the development of logistics support of sales. The system is based on the methods of statistical data processing, the methods of assessment and prediction of logistics performance, the methods for the determination and calculation of the data required for registration, storage and processing of metal products, as well as the methods for planning the reconstruction and development

  4. THE EXTRACTION OF INDOOR BUILDING INFORMATION FROM BIM TO OGC INDOORGML

    Directory of Open Access Journals (Sweden)

    T.-A. Teo

    2017-07-01

    Full Text Available Indoor Spatial Data Infrastructure (indoor-SDI is an important SDI for geosptial analysis and location-based services. Building Information Model (BIM has high degree of details in geometric and semantic information for building. This study proposed direct conversion schemes to extract indoor building information from BIM to OGC IndoorGML. The major steps of the research include (1 topological conversion from building model into indoor network model; and (2 generation of IndoorGML. The topological conversion is a major process of generating and mapping nodes and edges from IFC to indoorGML. Node represents every space (e.g. IfcSpace and objects (e.g. IfcDoor in the building while edge shows the relationships between nodes. According to the definition of IndoorGML, the topological model in the dual space is also represented as a set of nodes and edges. These definitions of IndoorGML are the same as in the indoor network. Therefore, we can extract the necessary data in the indoor network and easily convert them into IndoorGML based on IndoorGML Schema. The experiment utilized a real BIM model to examine the proposed method. The experimental results indicated that the 3D indoor model (i.e. IndoorGML model can be automatically imported from IFC model by the proposed procedure. In addition, the geometric and attribute of building elements are completely and correctly converted from BIM to indoor-SDI.

  5. Building Information Modeling for Managing Design and Construction

    DEFF Research Database (Denmark)

    Berard, Ole Bengt

    outcome of construction work. Even though contractors regularly encounter design information problems, these issues are accepted as a condition of doing business and better design information has yet to be defined. Building information modeling has the inherent promise of improving the quality of design...... information for work tasks. * Amount of Information – the number of documents and files, and other media, should be appropriate for the scope. The criteria were identified by empirical studies and theory on information quality in the architectural, engineering and construction (AEC) industry and other fields......Contractors planning and executing construction work encounter many kinds of problems with design information, such as uncoordinated drawings and specification, missing relevant information, and late delivery of design information. Research has shown that missing design information and unintended...

  6. Highlighting High Performance: National Renewable Energy Laboratory's Thermal Test Facility, Golden, Colorado. Office of Building Technology State and Community Programs (BTS) Brochure

    International Nuclear Information System (INIS)

    Burgert, S.

    2001-01-01

    The National Renewable Energy Laboratory's Thermal Test Facility in Golden, Colorado, was designed using a whole-building approach-looking at the way the building's systems worked together most efficiently. Researchers monitor the performance of the 11,000-square-foot building, which boasts an energy cost savings of 63% for heating, cooling, and lighting. The basic plan of the building can be adapted to many needs, including retail and warehouse space. The Thermal Test Facility contains office and laboratory space; research focuses on the development of energy-efficiency and renewable energy technologies that are cost-effective and environmentally friendly

  7. 基于区块链的电子仓单流转平台建设%The construction of electronic warehouse receipts circulation platform based on blockchain

    Institute of Scientific and Technical Information of China (English)

    蒋东东; 商玉林; 田野; 陆泽楠

    2017-01-01

    In order to solve the problems of mutual trust and transaction safety in the process of electronic warehouse receipts transfer ,the construction scheme of electronic warehouse trans-fer platform is put forward based on the analysis of the circulation process of electronic ware -house receipts and the the Bitcoin block chain .P2P system is used to package warehouse re-ceipts transaction information into blocks for whole network broadcast ,and all nodes in the whole network can verify its legitimacy and effectiveness .Then the block reaches a consensus through the consensus mechanism ,and it will be added to the block chain .Thus the transaction information can not be tampered with .The result of platform operation shows that the intro -duction of block chain technology can not only ensure the safety and de-centralization of ware-house receipts circulation ,but also improve the commodities trading market .%为了解决电子仓单流转过程中的互信和交易安全等问题,在分析电子仓单的流转过程和比特币区块链的基础上,给出基于区块链的电子仓单流转平台建设方案.采用P2P系统将仓单交易信息打包成区块进行全网广播,全网中所有节点均可验证其合法性和有效性,然后通过共识机制达成共识将区块加入到区块链中,至此仓单交易信息不能被篡改.平台运转结果表明,区块链技术的引入不仅可以保证仓单流转的安全性和去中心化,并且对期货交易市场也有很大的改善.

  8. Data warehouse de soporte a datos de GSA

    OpenAIRE

    Arribas López, Iván

    2008-01-01

    El presente documento describe los procesos de extracción, transformación y carga de logs de GSA en un data warehouse. GSA (Google Search Appliance) es una aplicacion de Google que utiliza su gestor de consultas para buscar información en la información indexada de un determinado sitio web. Esta aplicación consecuentemente guarda un log de consultas de usuario a ese sitio web en formato estándar CLF modificado. Analizar este log le permitiría conocer al promotor del sitio en cuestión la infor...

  9. 76 FR 13973 - United States Warehouse Act; Processed Agricultural Products Licensing Agreement

    Science.gov (United States)

    2011-03-15

    ... security of goods in the care and custody of the licensee. The personnel conducting the examinations will..., Warehouse Operations Program Manager, FSA, United States Department of Agriculture, Mail Stop 0553, 1400... continuing compliance with the standards of approval and operation. FSA will conduct examinations of licensed...

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

    Science.gov (United States)

    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.

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

    Science.gov (United States)

    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.

  12. Vision-based building energy diagnostics and retrofit analysis using 3D thermography and building information modeling

    Science.gov (United States)

    Ham, Youngjib

    The emerging energy crisis in the building sector and the legislative measures on improving energy efficiency are steering the construction industry towards adopting new energy efficient design concepts and construction methods that decrease the overall energy loads. However, the problems of energy efficiency are not only limited to the design and construction of new buildings. Today, a significant amount of input energy in existing buildings is still being wasted during the operational phase. One primary source of the energy waste is attributed to unnecessary heat flows through building envelopes during hot and cold seasons. This inefficiency increases the operational frequency of heating and cooling systems to keep the desired thermal comfort of building occupants, and ultimately results in excessive energy use. Improving thermal performance of building envelopes can reduce the energy consumption required for space conditioning and in turn provide building occupants with an optimal thermal comfort at a lower energy cost. In this sense, energy diagnostics and retrofit analysis for existing building envelopes are key enablers for improving energy efficiency. Since proper retrofit decisions of existing buildings directly translate into energy cost saving in the future, building practitioners are increasingly interested in methods for reliable identification of potential performance problems so that they can take timely corrective actions. However, sensing what and where energy problems are emerging or are likely to emerge and then analyzing how the problems influence the energy consumption are not trivial tasks. The overarching goal of this dissertation focuses on understanding the gaps in knowledge in methods for building energy diagnostics and retrofit analysis, and filling these gaps by devising a new method for multi-modal visual sensing and analytics using thermography and Building Information Modeling (BIM). First, to address the challenges in scaling and

  13. Integração da lógica nebulosa à recuperação de informação em data warehouse

    OpenAIRE

    Luz, Robinson

    2005-01-01

    A presente pesquisa tem como objeto de estudo a integração da lógica nebulosa às tecnologias de data warehouse . Objetiva, especificamente, propor, com base nas teorias e práticas da Ciência da informação, um modelo conceitual alternativo de organização e recuperação de informação.Para o desenvolvimento do modelo são descritos diversos tipos de bancos de dados e seu histórico, desde sua criação até os armazéns de dados chamados data warehouse . Quanto aos data warehouse , são expostos su...

  14. 19 CFR 19.35 - Establishment of duty-free stores (Class 9 warehouses).

    Science.gov (United States)

    2010-04-01

    ... SECURITY; DEPARTMENT OF THE TREASURY CUSTOMS WAREHOUSES, CONTAINER STATIONS AND CONTROL OF MERCHANDISE... and/or internal revenue taxes (where applicable) have not been paid. Except insofar as the provisions... paragraph (b) of this section means an area in close proximity to an actual exit for departing from the...

  15. Semi-automatic building extraction in informal settlements from high-resolution satellite imagery

    Science.gov (United States)

    Mayunga, Selassie David

    The extraction of man-made features from digital remotely sensed images is considered as an important step underpinning management of human settlements in any country. Man-made features and buildings in particular are required for varieties of applications such as urban planning, creation of geographical information systems (GIS) databases and Urban City models. The traditional man-made feature extraction methods are very expensive in terms of equipment, labour intensive, need well-trained personnel and cannot cope with changing environments, particularly in dense urban settlement areas. This research presents an approach for extracting buildings in dense informal settlement areas using high-resolution satellite imagery. The proposed system uses a novel strategy of extracting building by measuring a single point at the approximate centre of the building. The fine measurement of the building outlines is then effected using a modified snake model. The original snake model on which this framework is based, incorporates an external constraint energy term which is tailored to preserving the convergence properties of the snake model; its use to unstructured objects will negatively affect their actual shapes. The external constrained energy term was removed from the original snake model formulation, thereby, giving ability to cope with high variability of building shapes in informal settlement areas. The proposed building extraction system was tested on two areas, which have different situations. The first area was Tungi in Dar Es Salaam, Tanzania where three sites were tested. This area is characterized by informal settlements, which are illegally formulated within the city boundaries. The second area was Oromocto in New Brunswick, Canada where two sites were tested. Oromocto area is mostly flat and the buildings are constructed using similar materials. Qualitative and quantitative measures were employed to evaluate the accuracy of the results as well as the performance

  16. W2E--Wellness Warehouse Engine for Semantic Interoperability of Consumer Health Data.

    Science.gov (United States)

    Honko, Harri; Andalibi, Vafa; Aaltonen, Timo; Parak, Jakub; Saaranen, Mika; Viik, Jari; Korhonen, Ilkka

    2016-11-01

    Novel health monitoring devices and applications allow consumers easy and ubiquitous ways to monitor their health status. However, technologies from different providers lack both technical and semantic interoperability and hence the resulting health data are often deeply tied to a specific service, which is limiting its reusability and utilization in different services. We have designed a Wellness Warehouse Engine (W2E) that bridges this gap and enables seamless exchange of data between different services. W2E provides interfaces to various data sources and makes data available via unified representational state transfer application programming interface to other services. Importantly, it includes Unifier--an engine that allows transforming input data into generic units reusable by other services, and Analyzer--an engine that allows advanced analysis of input data, such as combining different data sources into new output parameters. In this paper, we describe the architecture of W2E and demonstrate its applicability by using it for unifying data from four consumer activity trackers, using a test base of 20 subjects each carrying out three different tracking sessions. Finally, we discuss challenges of building a scalable Unifier engine for the ever-enlarging number of new devices.

  17. MitoMiner: a data warehouse for mitochondrial proteomics data.

    Science.gov (United States)

    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.

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

    Science.gov (United States)

    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. Multidimensional building objects in a Danish geo-information infrastructure perspective

    DEFF Research Database (Denmark)

    Schrøder, Lise

    2002-01-01

    The emerging multidimensional GI- and VR-technologies within the professional disciplines dealing with design, planning and management processes is leading to a demand for four-dimensional building objects as part of the public geo-information infrastructure. The other way around the recognition...... of the building as a four-dimensional geo-phenomenon will provide a reference between different data sets whether representing buildings in two, three or four dimensions. Finally a central issue is the potential in using frameworks of multidimensional representations as interfaces to the available data sets...

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

    Science.gov (United States)

    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.

  1. Multi-agent control system with information fusion based comfort model for smart buildings

    International Nuclear Information System (INIS)

    Wang, Zhu; Wang, Lingfeng; Dounis, Anastasios I.; Yang, Rui

    2012-01-01

    Highlights: ► Proposed a model to manage indoor energy and comfort for smart buildings. ► Developed a control system to maximize comfort with minimum energy consumption. ► Information fusion with ordered weighted averaging aggregation is used. ► Multi-agent technology and heuristic intelligent optimization are deployed in developing the control system. -- Abstract: From the perspective of system control, a smart and green building is a large-scale dynamic system with high complexity and a huge amount of information. Proper combination of the available information and effective control of the overall building system turns out to be a big challenge. In this study, we proposed a building indoor energy and comfort management model based on information fusion using ordered weighted averaging (OWA) aggregation. A multi-agent control system with heuristic intelligent optimization is developed to achieve a high level of comfort with the minimum power consumption. Case studies and simulation results are presented and discussed in this paper.

  2. Aspects of Data Warehouse Technologies for Complex Web Data

    OpenAIRE

    Thomsen, Christian

    2008-01-01

    This thesis is about aspects of specification and development of datawarehouse technologies for complex web data. Today, large amounts of dataexist in different web resources and in different formats. But it is oftenhard to analyze and query the often big and complex data or data about thedata (i.e., metadata). It is therefore interesting to apply Data Warehouse(DW) technology to the data. But to apply DW technology to complex web datais not straightforward and the DW community faces new and ...

  3. Extraction Method for Earthquake-Collapsed Building Information Based on High-Resolution Remote Sensing

    International Nuclear Information System (INIS)

    Chen, Peng; Wu, Jian; Liu, Yaolin; Wang, Jing

    2014-01-01

    At present, the extraction of earthquake disaster information from remote sensing data relies on visual interpretation. However, this technique cannot effectively and quickly obtain precise and efficient information for earthquake relief and emergency management. Collapsed buildings in the town of Zipingpu after the Wenchuan earthquake were used as a case study to validate two kinds of rapid extraction methods for earthquake-collapsed building information based on pixel-oriented and object-oriented theories. The pixel-oriented method is based on multi-layer regional segments that embody the core layers and segments of the object-oriented method. The key idea is to mask layer by layer all image information, including that on the collapsed buildings. Compared with traditional techniques, the pixel-oriented method is innovative because it allows considerably rapid computer processing. As for the object-oriented method, a multi-scale segment algorithm was applied to build a three-layer hierarchy. By analyzing the spectrum, texture, shape, location, and context of individual object classes in different layers, the fuzzy determined rule system was established for the extraction of earthquake-collapsed building information. We compared the two sets of results using three variables: precision assessment, visual effect, and principle. Both methods can extract earthquake-collapsed building information quickly and accurately. The object-oriented method successfully overcomes the pepper salt noise caused by the spectral diversity of high-resolution remote sensing data and solves the problem of same object, different spectrums and that of same spectrum, different objects. With an overall accuracy of 90.38%, the method achieves more scientific and accurate results compared with the pixel-oriented method (76.84%). The object-oriented image analysis method can be extensively applied in the extraction of earthquake disaster information based on high-resolution remote sensing

  4. An Information-Theoretic Approach for Indirect Train Traffic Monitoring Using Building Vibration

    Directory of Open Access Journals (Sweden)

    Susu Xu

    2017-05-01

    Full Text Available This paper introduces an indirect train traffic monitoring method to detect and infer real-time train events based on the vibration response of a nearby building. Monitoring and characterizing traffic events are important for cities to improve the efficiency of transportation systems (e.g., train passing, heavy trucks, and traffic. Most prior work falls into two categories: (1 methods that require intensive labor to manually record events or (2 systems that require deployment of dedicated sensors. These approaches are difficult and costly to execute and maintain. In addition, most prior work uses dedicated sensors designed for a single purpose, resulting in deployment of multiple sensor systems. This further increases costs. Meanwhile, with the increasing demands of structural health monitoring, many vibration sensors are being deployed in commercial buildings. Traffic events create ground vibration that propagates to nearby building structures inducing noisy vibration responses. We present an information-theoretic method for train event monitoring using commonly existing vibration sensors deployed for building health monitoring. The key idea is to represent the wave propagation in a building induced by train traffic as information conveyed in noisy measurement signals. Our technique first uses wavelet analysis to detect train events. Then, by analyzing information exchange patterns of building vibration signals, we infer the category of the events (i.e., southbound or northbound train. Our algorithm is evaluated with an 11-story building where trains pass by frequently. The results show that the method can robustly achieve a train event detection accuracy of up to a 93% true positive rate and an 80% true negative rate. For direction categorization, compared with the traditional signal processing method, our information-theoretic approach reduces categorization error from 32.1 to 12.1%, which is a 2.5× improvement.

  5. An order batching algorithm for wave picking in a parallel-aisle warehouse

    NARCIS (Netherlands)

    Gademann, A.J.R.M.; Berg, van den J.P.; Hoff, van der H.H.

    2001-01-01

    In this paper we address the problem of batching orders in a parallel-aisle warehouse, with the objective to minimize the maximum lead time of any of the batches. This is a typical objective for a wave picking operation. Many heuristics have been suggested to solve order batching problems. We

  6. INNOVATIVE DEVELOPMENT OF WAREHOUSE TECHNOLOGY

    Directory of Open Access Journals (Sweden)

    Judit OLÁH

    2017-12-01

    Full Text Available The smooth operation of stocking and the warehouse play a very important role in all manufacturing companies; therefore ongoing monitoring and application of new techniques is essential to increase efficiency. The aim of our research is twofold: the utilization of the pallet shuttle racking system, and the introduction of a development opportunity by the merging of storage and order picking operations in the pallet shuttle system. It can be concluded that it is beneficial for the company to purchase two mobile cars in order to increase the utilization of the pallet shuttle racking system from 60% to 72% and that of the storage from 74% to 76%. We established that after the merging of the storage and order picking activities within the pallet shuttle system, the forklift driver can also complete the selection activities immediately after storage. By merging the two operations and saving time the number of forklift drivers can be reduced from 4 to 3 per shift.

  7. Research of building information extraction and evaluation based on high-resolution remote-sensing imagery

    Science.gov (United States)

    Cao, Qiong; Gu, Lingjia; Ren, Ruizhi; Wang, Lang

    2016-09-01

    Building extraction currently is important in the application of high-resolution remote sensing imagery. At present, quite a few algorithms are available for detecting building information, however, most of them still have some obvious disadvantages, such as the ignorance of spectral information, the contradiction between extraction rate and extraction accuracy. The purpose of this research is to develop an effective method to detect building information for Chinese GF-1 data. Firstly, the image preprocessing technique is used to normalize the image and image enhancement is used to highlight the useful information in the image. Secondly, multi-spectral information is analyzed. Subsequently, an improved morphological building index (IMBI) based on remote sensing imagery is proposed to get the candidate building objects. Furthermore, in order to refine building objects and further remove false objects, the post-processing (e.g., the shape features, the vegetation index and the water index) is employed. To validate the effectiveness of the proposed algorithm, the omission errors (OE), commission errors (CE), the overall accuracy (OA) and Kappa are used at final. The proposed method can not only effectively use spectral information and other basic features, but also avoid extracting excessive interference details from high-resolution remote sensing images. Compared to the original MBI algorithm, the proposed method reduces the OE by 33.14% .At the same time, the Kappa increase by 16.09%. In experiments, IMBI achieved satisfactory results and outperformed other algorithms in terms of both accuracies and visual inspection

  8. From Information Management to Information Visualization

    Science.gov (United States)

    Karami, Mahtab

    2016-01-01

    Summary Objective The development and implementation of a dashboard of medical imaging department (MID) performance indicators. Method Several articles discussing performance measures of imaging departments were searched for this study. All the related measures were extracted. Then, a panel of imaging experts were asked to rate these measures with an open ended question to seek further potential indicators. A second round was performed to confirm the performance rating. The indicators and their ratings were then reviewed by an executive panel. Based on the final panel’s rating, a list of indicators to be used was developed. A team of information technology consultants were asked to determine a set of user interface requirements for the building of the dashboard. In the first round, based on the panel’s rating, a list of main features or requirements to be used was determined. Next, Qlikview was utilized to implement the dashboard to visualize a set of selected KPI metrics. Finally, an evaluation of the dashboard was performed. Results 92 MID indicators were identified. On top of this, 53 main user interface requirements to build of the prototype of dashboard were determined. Then, the project team successfully implemented a prototype of radiology management dashboards into study site. The visual display that was designed was rated highly by users. Conclusion To develop a dashboard, management of information is essential. It is recommended that a quality map be designed for the MID. It can be used to specify the sequence of activities, their related indicators and required data for calculating these indicators. To achieve both an effective dashboard and a comprehensive view of operations, it is necessary to design a data warehouse for gathering data from a variety of systems. Utilizing interoperability standards for exchanging data among different systems can be also effective in this regard. PMID:27437043

  9. DW4TR: A Data Warehouse for Translational Research.

    Science.gov (United States)

    Hu, Hai; Correll, Mick; Kvecher, Leonid; Osmond, Michelle; Clark, Jim; Bekhash, Anthony; Schwab, Gwendolyn; Gao, De; Gao, Jun; Kubatin, Vladimir; Shriver, Craig D; Hooke, Jeffrey A; Maxwell, Larry G; Kovatich, Albert J; Sheldon, Jonathan G; Liebman, Michael N; Mural, Richard J

    2011-12-01

    The linkage between the clinical and laboratory research domains is a key issue in translational research. Integration of clinicopathologic data alone is a major task given the number of data elements involved. For a translational research environment, it is critical to make these data usable at the point-of-need. Individual systems have been developed to meet the needs of particular projects though the need for a generalizable system has been recognized. Increased use of Electronic Medical Record data in translational research will demand generalizing the system for integrating clinical data to support the study of a broad range of human diseases. To ultimately satisfy these needs, we have developed a system to support multiple translational research projects. This system, the Data Warehouse for Translational Research (DW4TR), is based on a light-weight, patient-centric modularly-structured clinical data model and a specimen-centric molecular data model. The temporal relationships of the data are also part of the model. The data are accessed through an interface composed of an Aggregated Biomedical-Information Browser (ABB) and an Individual Subject Information Viewer (ISIV) which target general users. The system was developed to support a breast cancer translational research program and has been extended to support a gynecological disease program. Further extensions of the DW4TR are underway. We believe that the DW4TR will play an important role in translational research across multiple disease types. Copyright © 2011 Elsevier Inc. All rights reserved.

  10. Benefits of the implementation and use of a warehouse management system in a distribution center

    Directory of Open Access Journals (Sweden)

    Alexsander Machado

    2011-12-01

    Full Text Available The aim of this article was to describe how the deployment and use of a Warehouse Management System (WMS can help increase productivity, reduce errors and speed up the flow of information in a distribution center. The research method was the case study. We had chosen a distributor of goods, located in Vale do Rio dos Sinos, RS, which sells and distributes for companies throughout Brazil products for business use. The main research technique was participant observation. In order to highlight the observed results, we collected two indicators, productivity and errors for the separation of items into applications. After four months of observation, both showed significant improvement, strengthening the hypothesis that selection and implementation of management system was beneficial for the company.

  11. A two warehouse deterministic inventory model for deteriorating items with a linear trend in time dependent demand over finite time horizon by Elitist Real-Coded Genetic Algorithm

    Directory of Open Access Journals (Sweden)

    A.K. Bhunia

    2013-04-01

    Full Text Available This paper deals with a deterministic inventory model developed for deteriorating items having two separate storage facilities (owned and rented warehouses due to limited capacity of the existing storage (owned warehouse with linear time dependent demand (increasing over a fixed finite time horizon. The model is formulated with infinite replenishment and the successive replenishment cycle lengths are in arithmetic progression. Partially backlogged shortages are allowed. The stocks of rented warehouse (RW are transported to the owned warehouse (OW in continuous release pattern. For this purpose, the model is formulated as a constrained non-linear mixed integer programming problem. For solving the problem, an advanced genetic algorithm (GA has been developed. This advanced GA is based on ranking selection, elitism, whole arithmetic crossover and non-uniform mutation dependent on the age of the population. Our objective is to determine the optimal replenishment number, lot-size of two-warehouses (OW and RW by maximizing the profit function. The model is illustrated with four numerical examples and sensitivity analyses of the optimal solution are performed with respect to different parameters.

  12. Comparing the Effectiveness of a Clinical Registry and a Clinical Data Warehouse for Supporting Clinical Trial Recruitment: A Case Study

    Science.gov (United States)

    Weng, Chunhua; Bigger, J Thomas; Busacca, Linda; Wilcox, Adam; Getaneh, Asqual

    2010-01-01

    This paper reports a case study comparing the relative efficiency of using a Diabetes Registry or a Clinical Data Warehouse to recruit participants for a diabetes clinical trial, TECOS. The Clinical Data Warehouse generated higher positive predictive accuracy (31% vs. 6.6%) and higher participant recruitment than the Registry (30 vs. 14 participants) in a shorter time period (59 vs. 74 working days). We identify important factors that increase clinical trial recruitment efficiency and lower cost. PMID:21347102

  13. Information-representation methods and tools or the Smart Swap Building strategic project

    Directory of Open Access Journals (Sweden)

    Marco Medici

    2016-06-01

    Full Text Available  Within the Smart Swap Building project for the housing renewal, the representative tool is an integrated part of the building design process and becomes an element to support complex decision-making processes, integrating different skills in different stages of the building life cycle. The use of Building Information Modeling (BIM tools not only allow a transparent design phase but covers the whole building process, relating technological and structural elements with construction scheduling (4D, cost estimation (5D, certification (6D and management of the life cycle (7D + CAFM, allowing more sustainable and aware choices.

  14. Results and Lessons Learned From the DOE Commercial Building Partnerships: Preprint

    Energy Technology Data Exchange (ETDEWEB)

    Hirsch, A.; Deru, M.; Langner, R.; Stark, G.; Doebber, I.; Scheib, J.; Sheppy, M.; Bonnema, E.; Pless, S.; Livingood, B.; Torcellini, P.

    2014-09-01

    Over the course of 5 years, NREL worked with commercial building owners and their design teams in the DOE Commercial Building Partnerships (CBP) to cut energy consumption by 50% in new construction (versus code) and by 30% in existing building pilot projects (versus code or pre-retrofit operational energy use depending on the preference of the Partner) using strategies that could be replicated across their building portfolios. A number of different building types were addressed, including supermarket, retail merchandise, combination big box (general merchandise and food sales), high rise office space, and warehouse. The projects began in pre-design and included a year of measurement data to evaluate performance against design expectations. Focused attention was required throughout the entire process to achieve a design with the potential to hit the energy performance target and to operate the resulting building to reach this potential. This paper will report quantitative results and cover both the technical and the human sides of CBP, including the elements that were required to succeed and where stumbling blocks were encountered. It will also address the impact of energy performance goals and intensive energy modeling on the design process innovations and best practices.

  15. Choice of optimal replacement of equipment in the warehouse of the company

    Science.gov (United States)

    Baeva, Silvia; Tomov, Kiril

    2016-12-01

    The aim of this paper is to find an optimal replacement of equipment in the warehouse of the company. Real data for the machines are used and are processed with appropriate software. The mathematical model is made for this problem as problem for the shortest path from graph theory. The solution is made by Bellman's principle.

  16. Locating spare part warehouses using the concept of gradual coverage - A case study

    DEFF Research Database (Denmark)

    Hansen, Klaus Reinholdt Nyhuus; Grunow, Martin

    2009-01-01

    for MAN Diesel SE is presented, where gradual coverage has been used for locating warehouses for spare parts. In particular it is described, how coverage decay functions are found, which identifies customers’ reaction to the offered ’speed of delivery’ and ’total order cost’. With these functions, demand...

  17. Intelligent tools for building a scientific information platform from research to implementation

    CERN Document Server

    Skonieczny, Łukasz; Rybiński, Henryk; Kryszkiewicz, Marzena; Niezgódka, Marek

    2014-01-01

    This book is a selection of results obtained within three years of research performed under SYNAT—a nation-wide scientific project aiming at creating an infrastructure for scientific content storage and sharing for academia, education and open knowledge society in Poland. The book is intended to be the last of the series related to the SYNAT project. The previous books, titled “Intelligent Tools for Building a Scientific Information Platform” and “Intelligent Tools for Building a Scientific Information Platform: Advanced Architectures and Solutions”, were published as volumes 390 and 467 in Springer's Studies in Computational Intelligence. Its contents is based on the SYNAT 2013 Workshop held in Warsaw. The papers included in this volume present an overview and insight into information retrieval, repository systems, text processing, ontology-based systems, text mining, multimedia data processing and advanced software engineering, addressing the problems of implementing intelligent tools for building...

  18. Health Information Research Platform (HIReP)--an architecture pattern.

    Science.gov (United States)

    Schreiweis, Björn; Schneider, Gerd; Eichner, Theresia; Bergh, Björn; Heinze, Oliver

    2014-01-01

    Secondary use or single source is still far from routine in healthcare, although lots of data are available either structured or unstructured. As data are stored in multiple systems, using them for biomedical research is difficult. Clinical data warehouses already help overcoming this issue, but currently they are only used for certain parts of biomedical research. A comprehensive research platform based on a generic architecture pattern could increase the benefits of existing data warehouses for both patient care and research by meeting two objectives: serving as a so called single point-of-truth and acting as a mediator between them strengthening interaction and close collaboration. Another effect is to reduce boundaries for the implementation of data warehouses. Taking further settings into account the architecture of a clinical data warehouse supporting patient care and biomedical research needs to be integrated with biomaterial banks and other sources. This work provides a solution conceptualizing a comprehensive architecture pattern of a Health Information Research Platform (HIReP) derived from use cases of the patient care and biomedical research domain. It serves as single IT infrastructure providing solutions for any type of use case.

  19. DESAIN ETL DENGAN CONTOH KASUS PERGURUAN TINGGI

    Directory of Open Access Journals (Sweden)

    Spits Warnars

    2009-01-01

    Full Text Available Data Warehouse for higher education as a paradigm for helping high management in order to make an effective and efficient strategic decisions based on reliable and trusted reports which is produced from Data Warehouse itself. Data Warehouse is not a software, hardware or tool but Data Warehouse is an environment where the transactional database is modelled in other view for decision making purposes. ETL (Extraction, Transformation and Loading is a bridge to build Data Warehouse and transform data from transactional database. In every fact and dimension table will be inserted with fields which represent the construction merge loading as an ETL (Extraction, Transformation and Loading extraction. ETL needs an ETL table and ETL process where ETL table as table connectivity between tables in OLTP database and tables in Data Warehouse and ETL process will transform data from table in OLTP database into Data Warehouse table based on ETL table. The extraction process will be run with a table database as differentiate ETL process and an ETL algorithm which will be run automatically in idle transactional process, along with daily transactional database backup when the information system are not used.

  20. Integrated management of information inside maintenance processes. From the building registry to BIM systems

    Directory of Open Access Journals (Sweden)

    Cinzia Talamo

    2014-10-01

    Full Text Available The paper presents objec- tives, methods and results of two researches dealing with the improvement of integrated information management within maintenance processes. Focusing on information needs regarding the last phases of the building process, the two researches draft approaches characterizing a path of progressive improve- ment of strategies for integration: from a building registry, unique for the whole construction process, to an integrated management of the building process with the support of BIM systems.

  1. Application genetic algorithms for load management in refrigerated warehouses with wind power penetration

    DEFF Research Database (Denmark)

    Zong, Yi; Cronin, Tom; Gehrke, Oliver

    2009-01-01

    Wind energy is produced at random times, whereas the energy consumption pattern shows distinct demand peaks during day-time and low levels during the night. The use of a refrigerated warehouse as a giant battery for wind energy is a new possibility that is being studied for wind energy integratio...

  2. The Application of Typology Method in Historical Building Information Modelling (hbim) Taking the Information Surveying and Mapping of Jiayuguan Fortress Town as AN Example

    Science.gov (United States)

    Li, D. Y.; Li, K.; Wu, C.

    2017-08-01

    With the promotion of fine degree of the heritage building surveying and mapping, building information modelling technology(BIM) begins to be used in surveying and mapping, renovation, recording and research of heritage building, called historical building information modelling(HBIM). The hierarchical frameworks of parametric component library of BIM, belonging to the same type with the same parameters, has the same internal logic with archaeological typology which is more and more popular in the age identification of ancient buildings. Compared with the common materials, 2D drawings and photos, typology with HBIM has two advantages — (1) comprehensive building information both in collection and representation and (2) uniform and reasonable classification criteria This paper will take the information surveying and mapping of Jiayuguan Fortress Town as an example to introduce the field work method of information surveying and mapping based on HBIM technology and the construction of Revit family library.And then in order to prove the feasibility and advantage of HBIM technology used in typology method, this paper will identify the age of Guanghua gate tower, Rouyuan gate tower, Wenchang pavilion and the theater building of Jiayuguan Fortress Town with HBIM technology and typology method.

  3. THE APPLICATION OF TYPOLOGY METHOD IN HISTORICAL BUILDING INFORMATION MODELLING (HBIM TAKING THE INFORMATION SURVEYING AND MAPPING OF JIAYUGUAN FORTRESS TOWN AS AN EXAMPLE

    Directory of Open Access Journals (Sweden)

    D. Y. Li

    2017-08-01

    Full Text Available With the promotion of fine degree of the heritage building surveying and mapping, building information modelling technology(BIM begins to be used in surveying and mapping, renovation, recording and research of heritage building, called historical building information modelling(HBIM. The hierarchical frameworks of parametric component library of BIM, belonging to the same type with the same parameters, has the same internal logic with archaeological typology which is more and more popular in the age identification of ancient buildings. Compared with the common materials, 2D drawings and photos, typology with HBIM has two advantages — (1 comprehensive building information both in collection and representation and (2 uniform and reasonable classification criteria This paper will take the information surveying and mapping of Jiayuguan Fortress Town as an example to introduce the field work method of information surveying and mapping based on HBIM technology and the construction of Revit family library.And then in order to prove the feasibility and advantage of HBIM technology used in typology method, this paper will identify the age of Guanghua gate tower, Rouyuan gate tower, Wenchang pavilion and the theater building of Jiayuguan Fortress Town with HBIM technology and typology method.

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

    Science.gov (United States)

    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.

  5. Preliminary Findings from an Analysis of Building Energy Information System Technologies

    Energy Technology Data Exchange (ETDEWEB)

    Granderson, Jessica; Piette, Mary Ann; Ghatikar, Girish; Price, Philip

    2009-06-01

    Energy information systems comprise software, data acquisition hardware, and communication systems that are intended to provide energy information to building energy and facilities managers, financial managers, and utilities. This technology has been commercially available for over a decade, however recent advances in Internet and other information technology, and analytical features have expanded the number of product options that are available. For example, features such as green house gas tracking, configurable energy analyses and enhanced interoperability are becoming increasingly common. Energy information systems are used in a variety of commercial buildings operations and environments, and can be characterized in a number of ways. Basic elements of these systems include web-based energy monitoring, web-based energy management linked to controls, demand response, and enterprise energy management applications. However the sheer number and variety of available systems complicate the selection of products to match the needs of a given user. In response, a framework was developed to define the capabilities of different types of energy information systems, and was applied to characterize approximately 30 technologies. Measurement is a critical component in managing energy consumption and energy information must be shared at all organizational levels to maintain persistent, efficient operations. Energy information systems are important to understand because they offer the analytical support to process measured data into information, and they provide the informational link between the primary actors who impact building energy efficiency - operators, facilities and energy managers, owners and corporate decision makers. In this paper, preliminary findings are presented, with a focus on overall trends and the general state of the technology. Key conclusions include the need to further pursue standardization and usability, x-y plotting as an under-supported feature, and

  6. BUILDING INFORMATION MODELS FOR MONITORING AND SIMULATION DATA IN HERITAGE BUILDINGS

    Directory of Open Access Journals (Sweden)

    D. P. Pocobelli

    2018-05-01

    Full Text Available This paper analyses the use of BIM in heritage buildings, assessing the state-of-the-art and finding paths for further development. Specifically, this work is part of a broader project, which final aim is to support stakeholders through BIM. Given that humidity is one of the major causes of weathering, being able to detect, depict and forecast it, is a key task. A BIM model of a heritage building – enhanced with the integration of a weathering forecasting model – will be able to give detailed information on possible degradation patterns, and when they will happen. This information can be effectively used to plan both ordinary and extraordinary maintenance. The Jewel Tower in London, our case study, is digitised using combined laser scanning and photogrammetry, and a virtual model is produced. The point cloud derived from combined laser scanning & photogrammetry is traced out in with Autodesk Revit, where the main volumetry (gross walls and floors is created with parametric objects. Surface characterisation of the façade is given through renderings. Specifically, new rendering materials have been created for this purpose, based on rectified photos of the Tower. The model is then integrated with moisture data, organised in spreadsheets and linked to it via parametric objects representing the points where measurements had been previously taken. The spatial distribution of moisture is then depicted using Dynamo. This simple exercise demonstrates the potential Dynamo has for condition reporting, and future work will concentrate on the creation of a complex forecasting model to be linked through it.

  7. Aligning building information model tools and construction management methods

    NARCIS (Netherlands)

    Hartmann, Timo; van Meerveld, H.J.; Vossebeld, N.; Adriaanse, Adriaan Maria

    2012-01-01

    Few empirical studies exist that can explain how different Building Information Model (BIM) based tool implementation strategies work in practical contexts. To help overcoming this gap, this paper describes the implementation of two BIM based tools, the first, to support the activities at an

  8. BARRIERS AND CHALLENGES OF BUILDING INFORMATION MODELLING IMPLEMENTATION IN JORDANIAN CONSTRUCTION INDUSTRY

    OpenAIRE

    Mohammed A.KA. AL-Btoush*, Ahmad Tarmizi Haron

    2017-01-01

    Construction companies are faced with the need to innovatively integrate the construction process and address project development challenges. One way of doing that is the integration of building information modelling (BIM) in the building design and development cycles. However, due to the lack of clear understanding and the absence of a holistic implementation guideline, many companies are unable to fully achieve BIM potentials or implement BIM in their project and building lifecycle. BIM imp...

  9. PROCESS APPROACH IN MANAGEMENT OF ACTIVITY LOGISTIC OPERATOR OF WAREHOUSE SERVICES

    Directory of Open Access Journals (Sweden)

    Goryacheva Natalia Evgenievna

    2013-03-01

    Full Text Available In the present article methodological and practical aspects of improvement of activity of the logistic operator of warehouse services on the basis of use of a process approach in management of the organization are considered. The object of the research is justification of necessity of process approach’s in logistic operation’s activity and development of algorithm of their work at clients’ business processes and approbation of assessment technique of logistics service efficiency. Scientific novelty of this article is that it is the first time when models of business processes of warehouse logistics one developed. Also algorithmization and standartization are carried out and indicators of an assessment of efficiency of rendered logistic service are developed. Use of process approach in logistics operator activity gives him powerful advantages in competitive rivalry. The increase of efficiency of logistic operator’s commercial activity (LLC Company «Logy Log» Nizhny Novgorod after the transition in management from functions to processes fully confirms this statement. Consolidation of logistic operator’s positions in different functional areas becomes an incentive to development of logistics and as a result to reduction of costs at delivery of industrial freights and consumer goods to the final user.

  10. PROCESS APPROACH IN MANAGEMENT OF ACTIVITY LOGISTIC OPERATOR OF WAREHOUSE SERVICES

    Directory of Open Access Journals (Sweden)

    Наталья Евгеньевна Горячева

    2013-04-01

    Full Text Available In the present article methodological and practical aspects of improvement of activity of the logistic operator of warehouse services on the basis of use of a process approach in management of the organization are considered.The object of the research is justification of necessity of process approach’s in logistic operation’s activity and development of algorithm of their work at clients’ business processes and approbation of assessment technique of logistics service efficiency.Scientific novelty of this article is that it is the first time when models of business processes of warehouse logistics one developed. Also algorithmization and standartization are carried out and indicators of an assessment of efficiency of rendered logistic service are developed.Use of process approach in logistics operator activity gives him powerful advantages in competitive rivalry. The increase of efficiency of logistic operator’s commercial activity (LLC Company «Logy Log» Nizhny Novgorod after the transition in management from functions to processes fully confirms this statement.Consolidation of logistic operator’s positions in different functional areas becomes an incentive to development of logistics and as a result to reduction of costs at delivery of industrial freights and consumer goods to the final user.DOI: http://dx.doi.org/10.12731/2218-7405-2013-3-30

  11. Semi-Automatic Modelling of Building FAÇADES with Shape Grammars Using Historic Building Information Modelling

    Science.gov (United States)

    Dore, C.; Murphy, M.

    2013-02-01

    This paper outlines a new approach for generating digital heritage models from laser scan or photogrammetric data using Historic Building Information Modelling (HBIM). HBIM is a plug-in for Building Information Modelling (BIM) software that uses parametric library objects and procedural modelling techniques to automate the modelling stage. The HBIM process involves a reverse engineering solution whereby parametric interactive objects representing architectural elements are mapped onto laser scan or photogrammetric survey data. A library of parametric architectural objects has been designed from historic manuscripts and architectural pattern books. These parametric objects were built using an embedded programming language within the ArchiCAD BIM software called Geometric Description Language (GDL). Procedural modelling techniques have been implemented with the same language to create a parametric building façade which automatically combines library objects based on architectural rules and proportions. Different configurations of the façade are controlled by user parameter adjustment. The automatically positioned elements of the façade can be subsequently refined using graphical editing while overlaying the model with orthographic imagery. Along with this semi-automatic method for generating façade models, manual plotting of library objects can also be used to generate a BIM model from survey data. After the 3D model has been completed conservation documents such as plans, sections, elevations and 3D views can be automatically generated for conservation projects.

  12. [Extraction of buildings three-dimensional information from high-resolution satellite imagery based on Barista software].

    Science.gov (United States)

    Zhang, Pei-feng; Hu, Yuan-man; He, Hong-shi

    2010-05-01

    The demand for accurate and up-to-date spatial information of urban buildings is becoming more and more important for urban planning, environmental protection, and other vocations. Today's commercial high-resolution satellite imagery offers the potential to extract the three-dimensional information of urban buildings. This paper extracted the three-dimensional information of urban buildings from QuickBird imagery, and validated the precision of the extraction based on Barista software. It was shown that the extraction of three-dimensional information of the buildings from high-resolution satellite imagery based on Barista software had the advantages of low professional level demand, powerful universality, simple operation, and high precision. One pixel level of point positioning and height determination accuracy could be achieved if the digital elevation model (DEM) and sensor orientation model had higher precision and the off-Nadir View Angle was relatively perfect.

  13. A geodata warehouse: Using denormalisation techniques as a tool for delivering spatially enabled integrated geological information to geologists

    Science.gov (United States)

    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

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

    Science.gov (United States)

    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.

  15. The Veterans Affairs's Corporate Data Warehouse: Uses and Implications for Nursing Research and Practice.

    Science.gov (United States)

    Price, Lauren E; Shea, Kimberly; Gephart, Sheila

    2015-01-01

    The Department of Veterans Affairs Veterans Healthcare Administration (VHA) is supported by one of the largest integrated health care information systems in the United States. The VHA's Corporate Data Warehouse (CDW) was developed in 2006 to accommodate the massive amounts of data being generated from more than 20 years of use and to streamline the process of knowledge discovery to application. This article describes the developments in research associated with the VHA's transition into the world of Big Data analytics through CDW utilization. The majority of studies utilizing the CDW also use at least one other data source. The most commonly occurring topics are pharmacy/medications, systems issues, and weight management/obesity. Despite the potential benefit of data mining techniques to improve patient care and services, the CDW and alternative analytical approaches are underutilized by researchers and clinicians.

  16. Accurate facade feature extraction method for buildings from three-dimensional point cloud data considering structural information

    Science.gov (United States)

    Wang, Yongzhi; Ma, Yuqing; Zhu, A.-xing; Zhao, Hui; Liao, Lixia

    2018-05-01

    Facade features represent segmentations of building surfaces and can serve as a building framework. Extracting facade features from three-dimensional (3D) point cloud data (3D PCD) is an efficient method for 3D building modeling. By combining the advantages of 3D PCD and two-dimensional optical images, this study describes the creation of a highly accurate building facade feature extraction method from 3D PCD with a focus on structural information. The new extraction method involves three major steps: image feature extraction, exploration of the mapping method between the image features and 3D PCD, and optimization of the initial 3D PCD facade features considering structural information. Results show that the new method can extract the 3D PCD facade features of buildings more accurately and continuously. The new method is validated using a case study. In addition, the effectiveness of the new method is demonstrated by comparing it with the range image-extraction method and the optical image-extraction method in the absence of structural information. The 3D PCD facade features extracted by the new method can be applied in many fields, such as 3D building modeling and building information modeling.

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

    Science.gov (United States)

    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.

  18. Identification of Relationships Between Patients Through Elements in a Data Warehouse Using the Familial, Associational, and Incidental Relationship (FAIR) Initiative: A Pilot Study.

    Science.gov (United States)

    English, Thomas M; Kinney, Rebecca L; Davis, Michael J; Kamberi, Ariana; Chan, Wayne; Sadasivam, Rajani S; Houston, Thomas K

    2015-02-13

    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. 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. 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. 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. FAIR is a valuable research and clinical resource that extends the capabilities of existing data warehouses and lays the groundwork for

  19. Benefits of Building Information Modelling in the Project Lifecycle: Construction Projects in Asia

    Directory of Open Access Journals (Sweden)

    Jian Li

    2014-08-01

    Full Text Available Building Information Modelling (BIM is a process involving the creation and management of objective data with property, unique identity and relationship. In the Architecture, Engineering and Construction (AEC industry, BIM is adopted a lot in the lifecycle of buildings because of the high integration of information that it enables. Four-dimensional (4D computer-aided design (CAD has been adopted for many years to improve the construction planning process. BIM is adopted throughout buildings' lifecycles, in design, construction and operation. This paper presents five large-scale public and financial projects that adopt BIM in the design, construction and operational phases. Different uses of BIM are compared and contrasted in the context of the separate backgrounds. It is concluded that productivity is improved where BIM is used to enable easy sharing and integration of information and convenient collaboration.

  20. Building Successful Information Systems – a Key for Successful Organization

    Directory of Open Access Journals (Sweden)

    Doina ROSCA

    2010-12-01

    Full Text Available Building Successful Information Systems – a Key for Successful OrganizationAbstract: An Information System (IS can have a major impact on corporate strategy and organizational success. The involvement of managers and decision makers in all aspects of information systems is a major factor for organizational success, including higher profits and lower costs. Some of the benefits business organization seek to achieve through information systems include: better safety, competitive advantage, fewer errors, greater accuracy, higher quality products, improved communications, increased efficiency and productivity, more efficient administration, superior financial and managerial decision making.

  1. Data warehousing as a tool for quality management in oncology.

    Science.gov (United States)

    Hölzer, S; Tafazzoli, A G; Altmann, U; Wächter, W; Dudeck, J

    1999-01-01

    At present, physicians are constrained by their limited skills to integrate and understand the growing amount of electronic medical information. To handle, extract, integrate, analyse and take advantage of the gathered information regarding the quality of patient care, the concept of a data warehouse seems to be especially interesting in medicine. Medical data warehousing allows the physicians to take advantage of all the operational data they have been collecting over the years. Our purpose is to build a data warehouse in order to use all available information about cancer patients. We think that with the sensible use of this tool, there are economic benefits for the Society and an improvement of quality of medical care for patients.

  2. VERIFICATION OF 3D BUILDING MODELS USING MUTUAL INFORMATION IN AIRBORNE OBLIQUE IMAGES

    Directory of Open Access Journals (Sweden)

    A. P. Nyaruhuma

    2012-07-01

    Full Text Available This paper describes a method for automatic verification of 3D building models using airborne oblique images. The problem being tackled is identifying buildings that are demolished or changed since the models were constructed or identifying wrong models using the images. The models verified are of CityGML LOD2 or higher since their edges are expected to coincide with actual building edges. The verification approach is based on information theory. Corresponding variables between building models and oblique images are used for deriving mutual information for individual edges, faces or whole buildings, and combined for all perspective images available for the building. The wireframe model edges are projected to images and verified using low level image features – the image pixel gradient directions. A building part is only checked against images in which it may be visible. The method has been tested with models constructed using laser points against Pictometry images that are available for most cities of Europe and may be publically viewed in the so called Birds Eye view of the Microsoft Bing Maps. Results are that nearly all buildings are correctly categorised as existing or demolished. Because we now concentrate only on roofs we also used the method to test and compare results from nadir images. This comparison made clear that especially height errors in models can be more reliably detected in oblique images because of the tilted view. Besides overall building verification, results per individual edges can be used for improving the 3D building models.

  3. Positioning the electric utility to build information infrastructure

    Energy Technology Data Exchange (ETDEWEB)

    1994-11-01

    In two particular respects (briefly investigated in this study from a lawyer`s perspective), electric utilities appear uniquely well-positioned to contribute to the National Information Infrastructure (NII). First of all, utilities have legal powers derived from their charters and operating authorities, confirmed in their rights-of-way, to carry out activities and functions necessary for delivering electric service. These activities and functions include building telecommunications facilities and undertaking information services that have become essential to managing electricity demand and supply. The economic value of the efficiencies made possible by telecommunications and information could be substantial. How great remains to be established, but by many estimates electric utility applications could fund a significant share of the capital costs of building the NII. Though utilities` legal powers to pursue such efficiencies through telecommunications and information appear beyond dispute, it is likely that the effort to do so will produce substantial excess capacity. Who will benefit from this excess capacity is a potentially contentious political question that demands early resolution. Will this windfall go to the utility, the customer, or no one (because of political paralysis), or will there be some equitable and practical split? A second aspect of inquiry here points to another contemporary issue of very great societal importance that could very well become the platform on which the first question can be resolved fortuitously-how to achieve universal telecommunications service. In the effort to fashion the NII that will now continue, ways and means to maximize the unique potential contribution of electric utilities to meeting important social and economic needs--in particular, universal service--merit priority attention.

  4. Analysis of energy use in building services of the industrial sector in California: A literature review and a preliminary characterization

    Energy Technology Data Exchange (ETDEWEB)

    Akbari, H.; Borgers, T.; Gadgil, A.; Sezgen, O.

    1991-04-01

    Energy use patterns in many of California's fastest-growing industries are not typical of those in the mix of industries elsewhere in the US. Many California firms operate small and medium-sized facilities, often in buildings used simultaneously or interchangeably for commercial (office, retail, warehouse) and industrial activities. In these industrial subsectors, the energy required for building services'' to provide occupant comfort and necessities (lighting, HVAC, office equipment, computers, etc.) may be at least as important as the more familiar process energy requirements -- especially for electricity and on-peak demand. In this report, published or unpublished information on energy use for building services in the industrial sector have been compiled and analyzed. Seven different sources of information and data relevant to California have been identified. Most of these are studies and/or projects sponsored by the Department of Energy, the California Energy Commission, and local utilities. The objectives of these studies were diverse: most focused on industrial energy use in general, and, in one case, the objective was to analyze energy use in commercial buildings. Only one of these studies focused directly on non-process energy use in industrial buildings. Our analysis of Northern California data for five selected industries shows that the contribution of total electricity consumption for lighting ranges from 9.5% in frozen fruits to 29.1% in instruments; for air-conditioning, it ranges from nonexistent in frozen fruits to 35% in instrument manufacturing. None of the five industries selected had significant electrical space heating. Gas space heating ranges from 5% in motor vehicles facilities to more than 58% in the instrument manufacturing industry. 15 refs., 15 figs., 9 tabs.

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

    Science.gov (United States)

    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.

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

    Science.gov (United States)

    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.

  7. Web-based energy information systems for energy management and demand response in commercial buildings

    Energy Technology Data Exchange (ETDEWEB)

    Motegi, Naoya; Piette, Mary Ann; Kinney, Satkartar; Herter, Karen

    2003-04-18

    Energy Information Systems (EIS) for buildings are becoming widespread in the U.S., with more companies offering EIS products every year. As a result, customers are often overwhelmed by the quickly expanding portfolio of EIS feature and application options, which have not been clearly identified for consumers. The object of this report is to provide a technical overview of currently available EIS products. In particular, this report focuses on web-based EIS products for large commercial buildings, which allow data access and control capabilities over the Internet. EIS products combine software, data acquisition hardware, and communication systems to collect, analyze and display building information to aid commercial building energy managers, facility managers, financial managers and electric utilities in reducing energy use and costs in buildings. Data types commonly processed by EIS include energy consumption data; building characteristics; building system data, such as heating, ventilation, and air-conditioning (HVAC) and lighting data; weather data; energy price signals; and energy demand-response event information. This project involved an extensive review of research and trade literature to understand the motivation for EIS technology development. This study also gathered information on currently commercialized EIS. This review is not an exhaustive analysis of all EIS products; rather, it is a technical framework and review of current products on the market. This report summarizes key features available in today's EIS, along with a categorization framework to understand the relationship between EIS, Energy Management and Control Systems (EMCSs), and similar technologies. Four EIS types are described: Basic Energy Information Systems (Basic-EIS); Demand Response Systems (DRS); Enterprise Energy Management (EEM); and Web-based Energy Management and Control Systems (Web-EMCS). Within the context of these four categories, the following characteristics of EIS

  8. 76 FR 57719 - Procurement List; Additions

    Science.gov (United States)

    2011-09-16

    ..., DEVELOPMENT, & ENGINEERING COMMAND (RDECOM), NATICK, MA. Coverage: C-List for 100% of the requirement the Department of the Army, as aggregated by the Department of the Army Research, Development, & Engineering...: Warehouse Staffing Services, Warehouse Section--Building Branch--NOAA's Logistics Div., Building 22, 325...

  9. Optimization of warehouse location through fuzzy multi-criteria decision making methods

    Directory of Open Access Journals (Sweden)

    C. L. Karmaker

    2015-07-01

    Full Text Available Strategic warehouse location-allocation problem is a multi-staged decision-making problem having both numerical and qualitative criteria. In order to survive in the global business scenario by improving supply chain performance, companies must examine the cross-functional drivers in the optimization of logistic systems. A meticulous observation makes evident that strategy warehouse location selection has become challenging as the number of alternatives and conflicting criteria increases. The issue becomes particularly problematic when the conventional concept has been applied in dealing with the imprecise nature of the linguistic assessment. The qualitative decisions for selection process are often complicated by the fact that often it is imprecise for the decision makers. Such problem must be overcome with defined efforts. Fuzzy multi-criteria decision making methods have been used in this research as aids in making location-allocation decisions. The anticipated methods in this research consist of two steps at its core. In the first step, the criteria of the existing problem are inspected and identified and then the weights of the sector and subsector are determined that have come to light by using Fuzzy AHP. In the second step, eligible alternatives are ranked by using TOPSIS and Fuzzy TOPSIS comparatively. A demonstration of the application of these methodologies in a real life problem is presented.

  10. Automation of pharmaceutical warehouse using groups robots with remote climate control and video surveillance

    OpenAIRE

    Zhuravska, I. M.; Popel, M. I.

    2015-01-01

    In this paper, we present a complex solution for automation pharmaceutical warehouse, including the implementation of climate-control, video surveillance with remote access to video, robotics selection of medicine with the optimization of the robot motion. We describe all the elements of local area network (LAN) necessary to solve all these problems.

  11. Issue of Building Information Modelling Implementation into the Czech Republic’s Legislation using the Level of Development

    Science.gov (United States)

    Prušková, Kristýna; Nývlt, Vladimír

    2017-10-01

    The object of this paper is the issue of links between the Level of Development of particular project in Building Information Modeling environment and the projects of certain stages of project documentation within the existing Czech Republic’s Legislation. This research article uses the experiences from the initiative of active working group „WG#03: BIM & Realization“, which is the part of the Czech BIM Council, especially the document called “Draft of unified data structure for Building Information Modeling in the Czech Republic”. The findings of this paper are in the defining specific Level of Development of relative parameters, mentioned in this document, connected to the specific level of information and details requested by the Czech Republic’s Legislation. These findings could be used as an underlay to create document called “Level of Development draft assignment to the individual stages of project documentation in the Czech Republic”. The Level of Development is the most useful way of the information visualization, which leads to the most effortless way of exact stated implementation of Building Information Modeling into the practice of designing structures and buildings in the Czech Republic. The Implementation of using Building Information Modeling technology in designing structures and buildings will lead to the enhanced quality of the project documentation and generally to more effective cost savings during whole life cycle of buildings. Moreover, the all over using of the BIM technology in the Czech Republic will be very useful in the Facility Management area, especially in the facility management and maintenance of state buildings.

  12. Urban freight distribution: council warehouses & freight by rail

    Directory of Open Access Journals (Sweden)

    Aleksander SŁADKOWSKI

    2014-10-01

    Full Text Available Rail is the one of the highly underused form of freight transportation in the European Union. Majority of the freightage are distributed by trucks and HGVs. With new regulations and socio-environmental concerns urban logistics is facing a new challenge which can be tackled using innovative transport mechanisms and streamline operations. This article sheds light on a system which integrates freight distribution via metro lines in the closest vicinity of the customer, use of council warehouses and further innovative transport mechanisms for final delivery. This system uses existing infrastructure effectively without impacting its surroundings and triggers the reduction of polluting carriers. This system offers the option of immediate implementation which will enable EU to compete with a global freight distribution market.

  13. A Brief Introduction to Building Information Modeling (BIM and its interoperability with TRNSYS

    Directory of Open Access Journals (Sweden)

    Abdelaziz Naamane

    2015-08-01

    Full Text Available Abstract:Hand-drafted print, sketching and hand modeling were the standard  for building designs before the advent of computer aided design (CAD systems . Nowadays CAD systems are better understood, their adoption increased until the 2D, 3D CAD system  and the virtual reality became the norm. Their natural evolution has given rise to a new and more complex generation of building design tools known as building information modeling, or BIM. There is insufficient clarity about what BIM is, although this is improving, and there is much shared understanding. There is agreement that BIM is not just software. BIM is not just CAD, or geometric data. BIM is a collaboratively generated and maintained, data rich, information source for the life of the design process and beyond. In this paper , we present briefly the greatest value derived from BIM in the use and maintenance of buildings and the use of TRNSYS with BIM.

  14. Kajian Pendekatan Binary Log dalam Change Data Capture

    Directory of Open Access Journals (Sweden)

    Muhammad Febrian Rachmadhan Amri

    2017-08-01

    Full Text Available The online business era causes the form of transactions to occur so quickly that the information stored in the data warehouse becomes invalid. Companies are required to have a strong system, which is a system that is real time in order to be able to perform data loading into the media repository that resides on different hosts in the near-real time. Data Warehouse is used as a media repository of data that has the nature of subject-oriented, integrated, time-variant, and is fixed. Data Warehouse can be built into real time management with the advantages possessed and utilize Change Data Capture. Change Data Capture (CDC is a technique that can be used as problem solution to build real time data warehousing (RTDW. The binary log approach in change data capture is made to record any data manipulation activity that occurs at the OLTP level and is managed back before being stored into the Data Warehouse (loading process. This can improve the quality of data management so that the creation of the right information, because the information available is always updated. Testing shows that Binary Log approach in Change Data Capture (BinlogCDC is able to generate real time data management, valid current information, dynamic communication between systems, and data management without losing any information from data manipulation.

  15. Exact route-length formulas and a storage location assignment heuristic for picker-to-parts warehouses

    NARCIS (Netherlands)

    Dijkstra, Arjan; Roodbergen, Kees Jan

    2017-01-01

    Order picking is one of the most time-critical processes in warehouses. We focus on the combined effects of routing methods and storage location assignment on process performance. We present exact formulas for the average route length under any storage location assignment for four common routing

  16. PS2-56: Building the Virtual Data Warehouse Using Data from a Healthcare Billing System

    Science.gov (United States)

    Krajenta, Rick; Lamerato, Lois; Wells, Karen

    2012-01-01

    Background Healthcare utilization data, specifically diagnoses and procedures, can be processed through different administrative systems. Billing data are generated by the care provider while claims data are generated by the payer. These two sources can represent the data content differently and incorporating the data from these systems into the VDW has presented a unique set of challenges. We present options for reconciling these two data sources to create a VDW that includes all patients including those outside of the HMO member realm. Methods Henry Ford Health System (HFHS) captures patients, care providers, procedures, diagnoses and medical supply information through a proprietary system. Outpatient billing information is entered by clinic staff using an optical scanning device and clinic-specific forms. Other additional procedures and/or supplies are entered into the system using a transaction capture application. Ancillary services such as imaging and pathology are imported into the billing system from their proprietary information systems. The main function of this system is to generate bills for services performed. The data elements are standardized to contain required justification for reimbursement from all payer types. Standard codes sets, ICD9, HCPCS and CPT4, are required. The data can also be used to evaluate workload and staffing levels, project future needs and characterize trends in service demands. HFHS uses this data source to build VDW files. Results Major differences between claims and billing data exist. Claims data are based on health plan contract with bundled procedures, coverage exclusions and deductibles affecting content. Billing data are based solely on services provided. The potential for overwhelming amounts of data in billing sources is possible due to the level of detail; however, this same level of detail is a rich source for specific care components that would not otherwise be present in claims records. Conclusion Billing data are

  17. Intelligent tools for building a scientific information platform advanced architectures and solutions

    CERN Document Server

    Skonieczny, Lukasz; Rybinski, Henryk; Kryszkiewicz, Marzena; Niezgodka, Marek

    2013-01-01

    This book is a selection of results obtained within two years of research per- formed under SYNAT - a nation-wide scientific project aiming at creating an infrastructure for scientific content storage and sharing for academia, education and open knowledge society in Poland. The selection refers to the research in artificial intelligence, knowledge discovery and data mining, information retrieval and natural language processing, addressing the problems of implementing intelligent tools for building a scientific information platform.This book is a continuation and extension of the ideas presented in “Intelligent Tools for Building a Scientific Information Platform” published as volume 390 in the same series in 2012. It is based on the SYNAT 2012 Workshop held in Warsaw. The papers included in this volume present an overview and insight into information retrieval, repository systems, text processing, ontology-based systems, text mining, multimedia data processing and advanced software engineering.  

  18. Expert System Models for Forecasting Forklifts Engagement in a Warehouse Loading Operation: A Case Study

    Directory of Open Access Journals (Sweden)

    Dejan Mirčetić

    2016-08-01

    Full Text Available The paper focuses on the problem of forklifts engagement in warehouse loading operations. Two expert system (ES models are created using several machine learning (ML models. Models try to mimic expert decisions while determining the forklifts engagement in the loading operation. Different ML models are evaluated and adaptive neuro fuzzy inference system (ANFIS and classification and regression trees (CART are chosen as the ones which have shown best results for the research purpose. As a case study, a central warehouse of a beverage company was used. In a beverage distribution chain, the proper engagement of forklifts in a loading operation is crucial for maintaining the defined customer service level. The created ES models represent a new approach for the rationalization of the forklifts usage, particularly for solving the problem of the forklifts engagement incargo loading. They are simple, easy to understand, reliable, and practically applicable tool for deciding on the engagement of the forklifts in a loading operation.

  19. 77 FR 38064 - Public Buildings Service; Information Collection; GSA Form 3453, Application/Permit for Use of...

    Science.gov (United States)

    2012-06-26

    ... Buildings Service; Information Collection; GSA Form 3453, Application/Permit for Use of Space in Public Buildings and Grounds AGENCY: Public Buildings Service, GSA. ACTION: Notice of request for comments... regarding GSA Form 3453, Application/Permit for Use of Space in Public Buildings and Grounds. Public...

  20. Evidence of Allergic Reactions and Cardiopulmonary Impairments among Traders Operating from Foodstuff Warehouses

    Directory of Open Access Journals (Sweden)

    Sam Ibeneme

    2016-01-01

    Full Text Available 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 p0.05 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.

  1. Intelligent Tools for Building a Scientific Information Platform

    CERN Document Server

    Skonieczny, Lukasz; Rybiński, Henryk; Niezgodka, Marek

    2012-01-01

    This book is a selection of results obtained within one year of research performed under SYNAT - a nation-wide scientific project aiming to create an infrastructure for scientific content storage and sharing for academia, education and open knowledge society in Poland. The selection refers to the research in artificial intelligence, knowledge discovery and data mining, information retrieval and natural language processing, addressing the problems of implementing intelligent tools for building a scientific information platform. The idea of this book is based on the very successful SYNAT Project Conference and the SYNAT Workshop accompanying the 19th International Symposium on Methodologies for Intelligent Systems (ISMIS 2011). The papers included in this book present an overview and insight into such topics as architecture of scientific information platforms, semantic clustering, ontology-based systems, as well as, multimedia data processing.

  2. Calculations of received dose for different points in the enrichment uranium oxide warehouse at 4%

    International Nuclear Information System (INIS)

    Alonso V, G.

    1990-06-01

    In order to verifying that the received dose so much inside as outside of the warehouse of enriched uranium dioxide to 4% it doesn't represent risk to the personnel, the modelling of this and the corresponding calculations for the extreme case of dose at contact are made. (Author)

  3. The Community Health Applied Research Network (CHARN) Data Warehouse: a Resource for Patient-Centered Outcomes Research and Quality Improvement in Underserved, Safety Net Populations.

    Science.gov (United States)

    Laws, Reesa; Gillespie, Suzanne; Puro, Jon; Van Rompaey, Stephan; Quach, Thu; Carroll, Joseph; Weir, Rosy Chang; Crawford, Phil; Grasso, Chris; Kaleba, Erin; McBurnie, Mary Ann

    2014-01-01

    The Community Health Applied Research Network, funded by the Health Resources and Services Administration, is a research network comprising 18 Community Health Centers organized into four Research Nodes (each including an academic partner) and a data coordinating center. The network represents more than 500,000 diverse safety net patients across 11 states. The primary objective of this paper is to describe the development and implementation process of the CHARN data warehouse. The methods involved regulatory and governance development and approval, development of content and structure of the warehouse and processes for extracting the data locally, performing validation, and finally submitting data to the data coordinating center. Version 1 of the warehouse has been developed. Tables have been added, the population and the years of electronic health records (EHR) have been expanded for Version 2. It is feasible to create a national, centralized data warehouse with multiple Community Health Center partners using different EHR systems. It is essential to allow sufficient time: (1) to develop collaborative, trusting relationships among new partners with varied technology, backgrounds, expertise, and interests; (2) to complete institutional, business, and regulatory review processes; (3) to identify and address technical challenges associated with diverse data environments, practices, and resources; and (4) to provide continuing data quality assessments to ensure data accuracy.

  4. Solar energy potential of the largest buildings in the United States

    Science.gov (United States)

    Wence, E. R.; Grodsky, S.; Hernandez, R. R.

    2017-12-01

    Sustainable pathways of land use for energy are necessary to mitigate climate change and limit conversion of finite land resources needed for conservation and food production. Large, commercial buildings (LCBs) are increasing in size and number throughout the United States (US) and may serve as suitable recipient environments for photovoltaic (PV) solar energy infrastructure that may support a low carbon, low land footprint energy transition. In this study, we identified, characterized, and evaluated the technical potential of the largest, commercial building rooftops (i.e., exceeding 110,000 m2) and their associated parking lots in the US for PV solar energy systems using Aurora, a cloud-based solar optimization platform. We also performed a case study of building-specific electricity generation: electricity consumption balance. Further, we quantified the environmental co-benefit of land sparing and associated avoided emissions (t-CO2-eq) conferred under the counterfactual scenario that solar development would otherwise proceed as a ground-mounted, utility-scale PV installation of equal nominal capacity. We identified and mapped 37 LCBs (by rooftop area) across 18 states in the US, spanning from as far north as the state of Minnesota to as far south as Florida. Rooftop footprints range from 427,297 to 113,689 m2 and have a cumulative surface area of 99.8 million ft2. We characterize the LCBs as either: distribution/warehouse, factory, shopping center, or administrative office/facility. Three of the 37 LCBs currently support rooftop PV and the numbers of associated, detached buildings number up to 38. This study elucidates the extent to which LCBs and their respective parking lots can serve as suitable sites for PV solar energy generation. Lastly, this study demonstrates research-based applications of the Aurora energy modeling platform and informs decision-making focused on redirecting energy development towards human-modified landscapes to prioritize land use for

  5. Method and simulation program informed decisions in the early stages of building design

    DEFF Research Database (Denmark)

    Petersen, Steffen; Svendsen, Svend

    2010-01-01

    variations. The program then presents the output in a way that enables designers to make informed decisions. The method and the program reduce the need for design iterations, reducing time consumption and construction costs, to obtain the intended energy performance and indoor environment....... for making informed decisions in the early stages of building design to fulfil performance requirements with regard to energy consumption and indoor environment. The method is operationalised in a program that utilises a simple simulation program to make performance predictions of user-defined parameter......The early stages of building design include a number of decisions which have a strong influence on the performance of the building throughout the rest of the process. It is therefore important that designers are aware of the consequences of these design decisions. This paper presents a method...

  6. Connecting people and information: how an African special library is building bridges

    CSIR Research Space (South Africa)

    Halland, Y

    2009-04-30

    Full Text Available : How an African Special Library is Building Bridges Yvonne Halland, BA Library Science Strategic Information Resources Coordinator CSIR Information Services Pretoria, South Africa Member, Science & Technology Division Noxolo Mniki... delivery, information literacy training and knowledge management. Although the CSIR library was at one time regarded as the top science & technology library in the country, the upward spiralling costs of information resources over the last twenty...

  7. Semantic Building Information Modeling and high definition surveys for Cultural Heritage sites

    Directory of Open Access Journals (Sweden)

    Simone Garagnani

    2012-11-01

    Full Text Available In recent years, digital technology devoted to the building design has experienced significant advancements allowing to reach, by means of the Building Information Modeling, those goals only imagined since the mid-Seventies of the last century. The BIM process, bearer of several advantages for actors and designers who implement it in their workflow, may be employed even in various case studies related to some interventions on the existing architectural Cultural Heritage. The semantics typical of the classical architecture, so pervasive in the European urban landscape, as well as the Modern or Contemporary architecture features, coincide with the self-conscious structure made of “smart objects” proper of BIM, which proves to be an effective system to document component relationships. However, the translation of existing buildings geometric information, acquired using the common techniques of laser scanning and digital photogrammetry, into BIM objects, is still a critical process that this paper aims to investigate, describing possible methods and approaches.

  8. Building organizational knowledge and value: informed decision making in Kansas children's community-based mental health services.

    Science.gov (United States)

    Stipp, Karen Flint; Kapp, Stephen A

    2012-02-01

    Knowledge is managers' principal asset and knowledge building is managers' primary work. This qualitative study explores knowledge building by directors of children's community-based mental health services in Kansas. Of the state's 27 directors, 25 completed a survey about knowledge building, in their preference of online or telephone format. Fourteen participants took part either in preliminary interviews for study development, or in follow-up interviews for further detail and member checking. Study findings indicate that with requisite resources, directors inform their decision making with streams of information, which they manage and generate to build organizational knowledge and value for local practice effectiveness.

  9. Advanced information technology: Building stronger databases

    Energy Technology Data Exchange (ETDEWEB)

    Price, D. [Lawrence Livermore National Lab., CA (United States)

    1994-12-01

    This paper discusses the attributes of the Advanced Information Technology (AIT) tool set, a database application builder designed at the Lawrence Livermore National Laboratory. AIT consists of a C library and several utilities that provide referential integrity across a database, interactive menu and field level help, and a code generator for building tightly controlled data entry support. AIT also provides for dynamic menu trees, report generation support, and creation of user groups. Composition of the library and utilities is discussed, along with relative strengths and weaknesses. In addition, an instantiation of the AIT tool set is presented using a specific application. Conclusions about the future and value of the tool set are then drawn based on the use of the tool set with that specific application.

  10. Selecting materialized views in a data warehouse

    Science.gov (United States)

    Zhou, Lijuan; Liu, Chi; Liu, Daxin

    2003-01-01

    A Data Warehouse contains lots of materialized views over the data provided by the distributed heterogeneous databases for the purpose of efficiently implementing decision-support or OLAP queries. It is important to select the right view to materialize that answer a given set of queries. In this paper, we have addressed and designed algorithm to select a set of views to materialize in order to answer the most queries under the constraint of a given space. The algorithm presented in this paper aim at making out a minimum set of views, by which we can directly respond to as many as possible user"s query requests. We use experiments to demonstrate our approach. The results show that our algorithm works better. We implemented our algorithms and a performance study of the algorithm shows that the proposed algorithm gives a less complexity and higher speeds and feasible expandability.

  11. Hazardous Waste/Mixed Waste Treatment Building Safety Information Document (SID)

    International Nuclear Information System (INIS)

    Fatell, L.B.; Woolsey, G.B.

    1993-01-01

    This Safety Information Document (SID) provides a description and analysis of operations for the Hazardous Waste/Mixed Waste Disposal Facility Treatment Building (the Treatment Building). The Treatment Building has been classified as a moderate hazard facility, and the level of analysis performed and the methodology used are based on that classification. Preliminary design of the Treatment Building has identified the need for two separate buildings for waste treatment processes. The term Treatment Building applies to all these facilities. The evaluation of safety for the Treatment Building is accomplished in part by the identification of hazards associated with the facility and the analysis of the facility's response to postulated events involving those hazards. The events are analyzed in terms of the facility features that minimize the causes of such events, the quantitative determination of the consequences, and the ability of the facility to cope with each event should it occur. The SID presents the methodology, assumptions, and results of the systematic evaluation of hazards associated with operation of the Treatment Building. The SID also addresses the spectrum of postulated credible events, involving those hazards, that could occur. Facility features important to safety are identified and discussed in the SID. The SID identifies hazards and reports the analysis of the spectrum of credible postulated events that can result in the following consequences: Personnel exposure to radiation; Radioactive material release to the environment; Personnel exposure to hazardous chemicals; Hazardous chemical release to the environment; Events leading to an onsite/offsite fatality; and Significant damage to government property. The SID addresses the consequences to the onsite and offsite populations resulting from postulated credible events and the safety features in place to control and mitigate the consequences

  12. Hazardous Waste/Mixed Waste Treatment Building Safety Information Document (SID)

    Energy Technology Data Exchange (ETDEWEB)

    Fatell, L.B.; Woolsey, G.B.

    1993-04-15

    This Safety Information Document (SID) provides a description and analysis of operations for the Hazardous Waste/Mixed Waste Disposal Facility Treatment Building (the Treatment Building). The Treatment Building has been classified as a moderate hazard facility, and the level of analysis performed and the methodology used are based on that classification. Preliminary design of the Treatment Building has identified the need for two separate buildings for waste treatment processes. The term Treatment Building applies to all these facilities. The evaluation of safety for the Treatment Building is accomplished in part by the identification of hazards associated with the facility and the analysis of the facility`s response to postulated events involving those hazards. The events are analyzed in terms of the facility features that minimize the causes of such events, the quantitative determination of the consequences, and the ability of the facility to cope with each event should it occur. The SID presents the methodology, assumptions, and results of the systematic evaluation of hazards associated with operation of the Treatment Building. The SID also addresses the spectrum of postulated credible events, involving those hazards, that could occur. Facility features important to safety are identified and discussed in the SID. The SID identifies hazards and reports the analysis of the spectrum of credible postulated events that can result in the following consequences: Personnel exposure to radiation; Radioactive material release to the environment; Personnel exposure to hazardous chemicals; Hazardous chemical release to the environment; Events leading to an onsite/offsite fatality; and Significant damage to government property. The SID addresses the consequences to the onsite and offsite populations resulting from postulated credible events and the safety features in place to control and mitigate the consequences.

  13. Methods for implementing Building Information Modeling and Building Performance Simulation approaches

    DEFF Research Database (Denmark)

    Mondrup, Thomas Fænø

    methodologies. Thesis studies showed that BIM approaches have the potential to improve AEC/FM communication and collaboration. BIM is by its nature multidisciplinary, bringing AEC/FM project participants together and creating constant communication. However, BIM adoption can lead to technical challenges......, Engineering, Construction, and Facility Management (AEC/ FM) communication, and (b) BPS as a platform for early-stage building performance prediction. The second is to develop (a) relevant AEC/FM communication support instruments, and (b) standardized BIM and BPS execution guidelines and information exchange......, for example, getting BIM-compatible tools to communicate properly. Furthermore, BIM adoption requires organizational change, that is changes in AEC/FM work practices and interpersonal dynamics. Consequently, to ensure that the adoption of BIM is successful, it is recommended that common IT regulations...

  14. Negative information for building phylogenies.

    Science.gov (United States)

    Chairungsee, Supaporn; Crochemore, Maxime

    2013-08-01

    An absent word (also called a forbidden word or an unword in other contexts) in a sequence is a segment that does not appear in the given sequence. It is a minimal absent word if all its proper factors occur in the given sequence. In this article, we review the concept of minimal absent words, which includes the notion of shortest absent words but is much stronger. We present an efficient method for computing the minimal absent words of bounded length for DNA sequence using a Trie of bounded depth, representing bounded length factors. This method outputs the whole set of minimal absent words and furthermore our technique provides a linear-time algorithm with less memory usage than previous solutions. We also present an approach to distinguish sequences of different organisms using their minimal absent words. Our solution applies a length-weighted index to discriminate sequences and the results show that we can build phylogenetic tree based on the patent collected information.

  15. Normalization of Phenotypic Data from a Clinical Data Warehouse: Case Study of Heterogeneous Blood Type Data with Surprising Results.

    Science.gov (United States)

    Cimino, James J

    2015-01-01

    Clinical data warehouses often contain analogous data from disparate sources, resulting in heterogeneous formats and semantics. We have developed an approach that attempts to represent such phenotypic data in its most atomic form to facilitate aggregation. We illustrate this approach with human blood antigen typing (ABO-Rh) data drawn from the National Institutes of Health's Biomedical Translational Research Information System (BTRIS). In applying the method to actual patient data, we discovered a 2% incidence of changed blood types. We believe our approach can be applied to any institution's data to obtain comparable patient phenotypes. The actual discrepant blood type data will form the basis for a future study of the reasons for blood typing variation.

  16. Distributed Learning and Information Dynamics In Networked Autonomous Systems

    Science.gov (United States)

    2015-11-20

    problem, while balancing uncertainty, sensor information, and information about other agents. We used three variants of a warehouse task to show that a...Communication- Efficient Sparse Learning”, ICML 2014 workshop on New Learning Frameworks and Models for Big Data , December 2014. (to appear) 44. A. Bellet... data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information. Send comments regarding this

  17. Information support of monitoring of technical condition of buildings in construction risk area

    Science.gov (United States)

    Skachkova, M. E.; Lepihina, O. Y.; Ignatova, V. V.

    2018-05-01

    The paper presents the results of the research devoted to the development of a model of information support of monitoring buildings technical condition; these buildings are located in the construction risk area. As a result of the visual and instrumental survey, as well as the analysis of existing approaches and techniques, attributive and cartographic databases have been created. These databases allow monitoring defects and damages of buildings located in a 30-meter risk area from the object under construction. The classification of structures and defects of these buildings under survey is presented. The functional capabilities of the developed model and the field of it practical applications are determined.

  18. 76 FR 71996 - Notice of Submission of Proposed Information Collection to OMB; Capacity Building for Sustainable...

    Science.gov (United States)

    2011-11-21

    ... Proposed Information Collection to OMB; Capacity Building for Sustainable Communities Program AGENCY... proposal. The Capacity Building for Sustainable Communities Program (Program), through a Notice of Funding...: Title of Proposal: Capacity Building for Sustainable Communities Program OMB Approval Number: 2501-0026...

  19. Optimization of energy consumption and cost effectiveness of modular buildings by using renewable energy sources

    Directory of Open Access Journals (Sweden)

    Peter Tauš

    2015-10-01

    Full Text Available Problems of the temporary structures are generally dealt with by the use of modular buildings. These actually meet the terms of low costs, as appose to the terms of convenience of use, or energy efficiency in operation. Using the latest technologies in the production of the modular buildings has improved the operation sufficiently; it is now possible to use them entirely for purposes associated with the use of the buildings. Office buildings, warehouses, and conference rooms have become common standard. In Slovakia, we can already see it as a normal part of cities and municipalities: social housing, schools, and kindergartens, which were all built using this technology. During the assessment phase of these buildings, energy efficiency is always the priority. This article is aimed at establishing the economic potential of modular buildings in the field of use of renewable energy sources. For the formulation of the problem and the definition of borders of studied parameters, we proposed a four-dimensional competency decision-making space. This determines the examination process that should identify areas in which it is appropriate to consider and assess the use of renewable energy sources.

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

    Science.gov (United States)

    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…

  1. 78 FR 57852 - Agency Information Collection Activities: Comment Request

    Science.gov (United States)

    2013-09-20

    ... for Export-Import Bank assistance under its insurance program. Export-Import Bank customers will be... information about ``Affiliates'' and ``Additional Named Insureds'' is being requested. Fourth, additional... they have Affiliates, use Warehouses, and/or require Exclusions. The application tool can be reviewed...

  2. 77 FR 58141 - Public Buildings Service; Information Collection; Art-in-Architecture Program National Artist...

    Science.gov (United States)

    2012-09-19

    ... Buildings Service; Information Collection; Art-in- Architecture Program National Artist Registry (GSA Form... Information Collection 3090- 0274, Art-in-Architecture Program National Artist Registry (GSA Form 7437), by... corresponds with ``Information Collection 3090-0274, Art-in- Architecture Program National Artist Registry...

  3. Empowering Mayo Clinic Individualized Medicine with Genomic Data Warehousing

    Directory of Open Access Journals (Sweden)

    Iain Horton

    2017-08-01

    Full Text Available 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.

  4. Empowering Mayo Clinic Individualized Medicine with Genomic Data Warehousing.

    Science.gov (United States)

    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.

  5. Reducing failures rate within the project documentation using Building Information Modelling, especially Level of Development

    Directory of Open Access Journals (Sweden)

    Prušková Kristýna

    2018-01-01

    Full Text Available Paper´s focus is on differences between traditional modelling in 2D software and modelling within the BIM technology. Research uncovers failures connected to the traditional way of designing and construction of project documentation. There are revealed and shown mismatches within the project documentation. Solution within the Building information modelling Technology is outlined. As a reference, there is used experience with design of specific building in both ways of construction of project documentation: in the way of traditional modelling and in the way when using BIM technology, especially using Level of Development. Output of this paper is pointing to benefits of using advanced technology in building design, thus Building Information Modelling, especially Level of Development, which leads to reducing failures rate within the project documentation.

  6. Construction Operations Building Information Exchange (COBIE): Requirements Definition and Pilot Implementation Standard

    Science.gov (United States)

    2007-06-01

    Swalley U.S. Department of State, Overseas Buildings Operations Toby Wilson U.S. Army, Corps of Engineers, Engineer R&D Center Jeff Wix AEC3 The...exchanged in COBIE. To map those information exchanges to the IFC model, the Information Delivery Manual (IDM) process [ Wix 2007] was also used. The...Folksonomy. Wikimedia Foundation. http://en.wikipedia.org/wiki/Folksonomy/, accessed 3 August 2007. Wix , Jeffrey. 2007. Information Delivery Manual

  7. Development of a central data warehouse for statewide ITS and transportation data in Florida phase III : final report.

    Science.gov (United States)

    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...

  8. 31 CFR 539.406 - Importation into and release from a bonded warehouse or foreign trade zone.

    Science.gov (United States)

    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... WEAPONS OF MASS DESTRUCTION TRADE CONTROL REGULATIONS Interpretations § 539.406 Importation into and...

  9. Building Information Modeling (BIM) for Indoor Environmental Performance Analysis

    DEFF Research Database (Denmark)

    The report is a part of a research assignment carried out by students in the 5ETCS course “Project Byggeri – [entitled as: Building Information Modeling (BIM) – Modeling & Analysis]”, during the 3rd semester of master degree in Civil and Architectural Engineering, Department of Engineering, Aarhus...... University. This includes seven papers describing BIM for Sustainability, concentrating specifically on individual topics regarding to Indoor Environment Performance Analysis....

  10. Enfoque MDA para el diseño de un data warehouse difuso A model driven approach for fuzzy data warehouse design

    Directory of Open Access Journals (Sweden)

    Carolina Zambrano Matamala

    2012-04-01

    Full Text Available Un data warehouse (DW es un repositorio de datos que provienen de distintas fuentes. Es un sistema para el análisis de datos usado para el apoyo a la toma de decisiones. En el ámbito de análisis de datos es usual encontrar relaciones entre los datos de naturaleza difusa. Por ejemplo, en un contexto académico la respuesta a la consulta "qué alumnos obtuvieron buena nota final" no puede ser obtenida desde un DW tradicional pues no maneja información cualitativa. Debido a las limitaciones de los DW tradicionales es que se pueden extender usando lógica difusa a un DW Difusos (DWD. Por otro lado, en el ciclo de desarrollo de DW se han considerado diversas metodologías y modelos que tienen como desventaja que no integran los distintos niveles de abstracción ni el proceso de diseño de DW. Sin embargo, el enfoque MDA es una alternativa de integración que otorga un marco de desarrollo integrado basado en la arquitectura de modelos y transformaciones entre distintos niveles de abstracción, que la hace adecuada para este tema. En este artículo se presenta un enfoque MDA para el diseño de un DWD que considera medidas difusas, relaciones difusas y niveles difusos, para lo cual se proponen un metamodelo CWM OLAP Difuso, reglas QVT y un ejemplo. También se presenta la secuencia metodológica para la aplicación de las reglas QVT. Finalmente, se proporciona un caso de estudio de análisis en el ámbito educacional.A Data Warehouse (DW is a repository of data from different sources. Is a system for data analysis used to support decision making. In the area of data analysis is common to find relationships between data from fuzzy nature. In this context, the questions give me the marks quantity of good, average and bad cannot be obtained from the traditional DW because do not handle as qualitative information. Due to the limitations of traditional DW is that it can be extended to Fuzzy DW (DWD using fuzzy logic. On the other hand in the DW

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

    Science.gov (United States)

    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. Building an evolvable prototype for a multiple GAAP accounting information system

    NARCIS (Netherlands)

    Vanhoof, E.; De Bruyn, P.; Aerts, Walter; Verelst, J.; Aveiro, D.; Pergl, R.; Gouveia, D.

    In this paper we build a prototype of an evolvable Accounting Information System (AIS) that supports multiple Generally Accepted Accounting Standards (GAAP) reporting. Reporting in multiple GAAP can have different origins: differences in local and tax GAAP, belonging to an economic group or

  13. MouseMine: a new data warehouse for MGI.

    Science.gov (United States)

    Motenko, H; Neuhauser, S B; O'Keefe, M; Richardson, J E

    2015-08-01

    MouseMine (www.mousemine.org) is a new data warehouse for accessing mouse data from Mouse Genome Informatics (MGI). Based on the InterMine software framework, MouseMine supports powerful query, reporting, and analysis capabilities, the ability to save and combine results from different queries, easy integration into larger workflows, and a comprehensive Web Services layer. Through MouseMine, users can access a significant portion of MGI data in new and useful ways. Importantly, MouseMine is also a member of a growing community of online data resources based on InterMine, including those established by other model organism databases. Adopting common interfaces and collaborating on data representation standards are critical to fostering cross-species data analysis. This paper presents a general introduction to MouseMine, presents examples of its use, and discusses the potential for further integration into the MGI interface.

  14. Commercial-sector energy-consumption data-base-development project. Volume II. Survey of available energy use data

    Energy Technology Data Exchange (ETDEWEB)

    None

    1978-04-01

    A compilation of data on energy consumption in the commercial sector that have been published elsewhere is presented. Readily available information was collected on the structural, equipment, and energy use characteristics of the following: store and other mercantile buildings; warehouses; finance, insurance, real estate, and services industries; schools and colleges; hospitals and nursing homes; and government buildings. Energy data are shown in terms of Btu/ft/sup 2/. (MCW)

  15. Evolutionary Multiobjective Query Workload Optimization of Cloud Data Warehouses

    Science.gov (United States)

    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

  16. Analysis Methods for Extracting Knowledge from Large-Scale WiFi Monitoring to Inform Building Facility Planning

    DEFF Research Database (Denmark)

    Ruiz-Ruiz, Antonio; Blunck, Henrik; Prentow, Thor Siiger

    2014-01-01

    realistic data to inform facility planning. In this paper, we propose analysis methods to extract knowledge from large sets of network collected WiFi traces to better inform facility management and planning in large building complexes. The analysis methods, which build on a rich set of temporal and spatial......The optimization of logistics in large building com- plexes with many resources, such as hospitals, require realistic facility management and planning. Current planning practices rely foremost on manual observations or coarse unverified as- sumptions and therefore do not properly scale or provide....... Spatio-temporal visualization tools built on top of these methods enable planners to inspect and explore extracted information to inform facility-planning activities. To evaluate the methods, we present results for a large hospital complex covering more than 10 hectares. The evaluation is based on Wi...

  17. The Barriers and Causes of Building Information Modelling Usage for Interior Design Industry

    Science.gov (United States)

    Hamid, A. B. Abd; Taib, M. Z. Mohd; Razak, A. H. N. Abdul; Embi, M. R.

    2017-12-01

    Building Information Modeling (BIM) has since developed alongside the improvement in the construction industry, purposely to simulate the design, management, construction and documentation. It facilitates and monitors the construction through visualization and emphasizes on various inputs to virtually design and construct a building using specific software. This study aims to identify and elaborate barriers of BIM usage in interior design industry in Malaysia. This study is initiated with a pilot survey utilising sixteen respondents that has been randomly chosen. Respondents are attached with interior design firms that are registered by Lembaga Arkitek Malaysia (LAM). The research findings are expected to provide significant information to encourage BIM adoption among interior design firms.

  18. Toward Accessing Spatial Structure from Building Information Models

    Science.gov (United States)

    Schultz, C.; Bhatt, M.

    2011-08-01

    Data about building designs and layouts is becoming increasingly more readily available. In the near future, service personal (such as maintenance staff or emergency rescue workers) arriving at a building site will have immediate real-time access to enormous amounts of data relating to structural properties, utilities, materials, temperature, and so on. The critical problem for users is the taxing and error prone task of interpreting such a large body of facts in order to extract salient information. This is necessary for comprehending a situation and deciding on a plan of action, and is a particularly serious issue in time-critical and safety-critical activities such as firefighting. Current unifying building models such as the Industry Foundation Classes (IFC), while being comprehensive, do not directly provide data structures that focus on spatial reasoning and spatial modalities that are required for high-level analytical tasks. The aim of the research presented in this paper is to provide computational tools for higher level querying and reasoning that shift the cognitive burden of dealing with enormous amounts of data away from the user. The user can then spend more energy and time in planning and decision making in order to accomplish the tasks at hand. We present an overview of our framework that provides users with an enhanced model of "built-up space". In order to test our approach using realistic design data (in terms of both scale and the nature of the building models) we describe how our system interfaces with IFC, and we conduct timing experiments to determine the practicality of our approach. We discuss general computational approaches for deriving higher-level spatial modalities by focusing on the example of route graphs. Finally, we present a firefighting scenario with alternative route graphs to motivate the application of our framework.

  19. Building Languages

    Science.gov (United States)

    ... Glossary Contact Information Information For… Media Policy Makers Building Languages Recommend on Facebook Tweet Share Compartir Communicating ... any speech and only very loud sounds. Close × “Building Blocks” “Building Blocks” refers to the different skills ...

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

    Science.gov (United States)

    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;…