KAPTUR: technical analysis report

Led by the Visual Arts Data Service (VADS) and funded by the JISC Managing Research Data programme (2011-13) KAPTUR will discover, create and pilot a sectoral model of best practice in the management of research data in the visual arts in collaboration with four institutional partners: Glasgow School of Art; Goldsmiths, University of London; University for the Creative Arts; and University of the Arts London. This report is framed around the research question: which technical system is most suitable for managing visual arts research data? The first stage involved a literature review including information gathered through attendance at meetings and events, and Internet research, as well as information on projects from the previous round of JISCMRD funding (2009-11). During February and March 2012, the Technical Manager carried out interviews with the four KAPTUR Project Officers and also met with IT staff at each institution. This led to the creation of a user requirement document (Appendix A), which was then circulated to the project team for additional comments and feedback. The Technical Manager selected 17 systems to compare with the user requirement document (Appendix B). Five of the systems had similar scores so these were short-listed. The Technical Manager created an online form into which the Project Officers entered priority scores for each of the user requirements in order to calculate a more accurate score for each of the five short-listed systems (Appendix C) and this resulted in the choice of EPrints as the software for the KAPTUR project

EMASS (trademark): An expandable solution for NASA space data storage needs

The data acquisition, distribution, processing, and archiving requirements of NASA and other U.S. Government data centers present significant data management challenges that must be met in the 1990's. The Earth Observing System (EOS) project alone is expected to generate daily data volumes greater than 2 Terabytes (2 x 10(exp 12) Bytes). As the scientific community makes use of this data, their work will result in larger, increasingly complex data sets to be further exploited and managed. The challenge for data storage systems is to satisfy the initial data management requirements with cost effective solutions that provide for planned growth. The expendable architecture of the E-Systems Modular Automated Storage System (EMASS(TM)), a mass storage system which is designed to support NASA's data capture, storage, distribution, and management requirements into the 21st century is described

EMASS (tm): An expandable solution for NASA space data storage needs

The data acquisition, distribution, processing, and archiving requirements of NASA and other U.S. Government data centers present significant data management challenges that must be met in the 1990's. The Earth Observing System (EOS) project alone is expected to generate daily data volumes greater than 2 Terabytes (2(10)(exp 12) Bytes). As the scientific community makes use of this data their work product will result in larger, increasingly complex data sets to be further exploited and managed. The challenge for data storage systems is to satisfy the initial data management requirements with cost effective solutions that provide for planned growth. This paper describes the expandable architecture of the E-Systems Modular Automated Storage System (EMASS (TM)), a mass storage system which is designed to support NASA's data capture, storage, distribution, and management requirements into the 21st century

Access control models: Authorization mechanisms for database management systems

None provided

KARL: A Knowledge-Assisted Retrieval Language

Data classification and storage are tasks typically performed by application specialists. In contrast, information users are primarily non-computer specialists who use information in their decision-making and other activities. Interaction efficiency between such users and the computer is often reduced by machine requirements and resulting user reluctance to use the system. This thesis examines the problems associated with information retrieval for non-computer specialist users, and proposes a method for communicating in restricted English that uses knowledge of the entities involved, relationships between entities, and basic English language syntax and semantics to translate the user requests into formal queries. The proposed method includes an intelligent dictionary, syntax and semantic verifiers, and a formal query generator. In addition, the proposed system has a learning capability that can improve portability and performance. With the increasing demand for efficient human-machine communication, the significance of this thesis becomes apparent. As human resources become more valuable, software systems that will assist in improving the human-machine interface will be needed and research addressing new solutions will be of utmost importance. This thesis presents an initial design and implementation as a foundation for further research and development into the emerging field of natural language database query systems

A machine entity for a coordinate measurement machine : the generic workcell project

The Center for Manufacturing Systems (CMS) department at New Jersey Institute of Technology and Siemens Corporate Research located in Princeton have agreed to jointly implement a research project in generic workcell control architectures. This paper discusses the module, called a Machine Entity, developed by the author that interfaces the Brown & Sharpe Coordinate Measurement Machine located on the CMS factory floor with the cell control software. The module has been designed in such a manner to simplify the development of future Machine Entities, thereby reducing the time required to integrate the CMS factory floor

DLR Schlussbericht e-Triage: Verbundprojekt Elektronische Betroffenenerfassung in Katastrophenfällen "e-Triage"; Teilvorhaben Synchronisation von verteilten Datenbanken über Satelliten- und terrestrische Netze

1. Derzeitiger Stand von Wissenschaft und Technik: Es existieren bereits eine Reihe frei verfügbarer und kommerziell vertriebener Replikationslösungen für Distributed Database Management Systems (DDBMS). Keines der bekannten Produkte erfüllte gänzlich die Anforderungen des e-Triage Projekts. 2. Begründung/Zielsetzung der Untersuchung: Die große Herausforderung im Einsatzgeschehen ist, verteilt vorliegende Daten zu aggregieren und allen beteiligten Entscheidungsträgern zeitgleich vorzulegen (Sanduhr-Modell). Die einzelnen Datenbanken müssen sich über die vorhandenen (möglicherweise unzuverlässigen) Übertragungskanäle automatisch synchronisieren. Außerdem müssen sich die Datenbanken gegenseitig finden. 3. Methode: Zunächst wurde ein passendes Open-Source-Projekt als Grundlage ausgewählt. In einem zweiten Schritt wurde der asynchrone Datenbankreplikator mit einer hocheffizienten Synchronisierungslösung verbunden. 4. Ergebnis: Die Arbeiten führten zu einem neuartigen Replikatorlösung, die problemlos mit Linkunterbrechungen umgehen kann. Die Ergebnisse wurden mit zwei Patenten geschützt. 5. Schlussfolgerung/Anwendungsmöglichkeiten: Neben dem MANV-Management sind alle Anwendungsbereiche denkbar, bei denen eine Instanz eines verteilten Datenbanksystems auf einem mobilen Terminal laufen soll. Möglich sind alle Bereiche der mobilen Datenerfassung, Logistik, Warenwirtschaft usw