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Author (up) Daniel Stein; Barbara Krausz; Jobst Löffler; Robin Marterer; Rolf Bardeli; Jochen Schwenninger; Bela Usabaev pdf  isbn
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  Title Enriching an intelligent resource management system with automatic event recognition Type Conference Article
  Year 2012 Publication ISCRAM 2012 Conference Proceedings – 9th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2012  
  Volume Issue Pages  
  Keywords Data handling; Information services; Information systems; Natural resources management; Resource allocation; Service oriented architecture (SOA); Abnormal event detections; Automatic speech recognition; Event recognition; Irm; TETRA channel; Management information systems  
  Abstract Event recognition systems have high potential to support crisis management and emergency response. Given the vast amount of possible input channels, automatic processing of raw data is crucial. In this paper, we describe several components integrated in an overall intelligent resource management system, namely abnormal event detection in audio and video material, as well as automatic speech recognition within a public safety network. We elaborate on the challenges expected from real life data and the solutions that we applied. The overall system, based on Event-Driven Service-Oriented Architecture, has been implemented and partly integrated into the end users' infrastructures. The system is continuously running since almost two years, collecting data for research purposes. © 2012 ISCRAM.  
  Address Fraunhofer IAIS, Schloss Birlinghoven, St. Augustin, Germany; University of Paderborn, Germany  
  Corporate Author Thesis  
  Publisher Simon Fraser University Place of Publication Vancouver, BC Editor L. Rothkrantz, J. Ristvej, Z.Franco  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 9780864913326 Medium  
  Track Event-Driven Techniques and Methods for Crisis Management Expedition Conference 9th International ISCRAM Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 209  
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Author (up) Jens Pottebaum; Alexander Artikis; Robin Marterer; Georgios Paliouras; Rainer Koch pdf  isbn
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  Title Event definition for the application of event processing to intelligent resource management Type Conference Article
  Year 2011 Publication 8th International Conference on Information Systems for Crisis Response and Management: From Early-Warning Systems to Preparedness and Training, ISCRAM 2011 Abbreviated Journal ISCRAM 2011  
  Volume Issue Pages  
  Keywords Information systems; Natural resources management; Resource allocation; Emergency response; Event; Event definition; Event Processing; Event recognition; Resource management; Emergency services  
  Abstract The application of event processing methods and systems carries high potential for the domain of crisis management and emergency response for different use cases and architectural aspects. This hypothesis is based on the general event based characteristics of the domain as well as former research approaches. Resource management represents a complex task for decision makers; therefore it is taken as a basic use case for this work. It builds up on foundations of resource management (use case and demand side) and event processing (technology and supply side). Methods and results are presented for the identification, definition and validation of events that happen in reality and corresponding event objects which are processed by information systems.  
  Address University of Paderborn, C.I.K., Germany; NCSR Demokritos, Greece  
  Corporate Author Thesis  
  Publisher Information Systems for Crisis Response and Management, ISCRAM Place of Publication Lisbon Editor M.A. Santos, L. Sousa, E. Portela  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 9789724922478 Medium  
  Track Analytical Information Systems Expedition Conference 8th International ISCRAM Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 849  
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Author (up) Jens Pottebaum; Robin Marterer; Steffen Schneider pdf  isbn
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  Title Taxonomy of IT support for training emergency response & management Type Conference Article
  Year 2014 Publication ISCRAM 2014 Conference Proceedings – 11th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2014  
  Volume Issue Pages 374-378  
  Keywords Information systems; Taxonomies; Emergency preparedness; Emergency response; Exercise; Learning managements; Market researches; Technological progress; Training exercise; Work in progress; Emergency services  
  Abstract Training is a prerequisite for effective and efficient emergency response and management. Information technology (IT) offers high potential to support various educational methods and environments. One example for interdependent use cases is given by planning, controlling, observation and debriefing of training exercises. Dedicated IT systems are available to support these use cases; nevertheless, there is no joint understanding of system use cases, types and functionality as a fundament for scientific and technological progress. This work in progress paper presents results of literature and market research complemented by expert interviews leading to a taxonomy of relevant IT components and systems.  
  Address University of Paderborn, C.I.K., Germany  
  Corporate Author Thesis  
  Publisher The Pennsylvania State University Place of Publication University Park, PA Editor S.R. Hiltz, M.S. Pfaff, L. Plotnick, and P.C. Shih.  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 9780692211946 Medium  
  Track Humanitarian Information Systems Expedition Conference 11th International ISCRAM Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 848  
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Author (up) Robin Marterer; Matthias Moi; Rainer Koch pdf  isbn
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  Title An architecture for distributed, event-driven systems to collect and analyze data in emergency operations and training exercises Type Conference Article
  Year 2012 Publication ISCRAM 2012 Conference Proceedings – 9th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2012  
  Volume Issue Pages  
  Keywords Data reduction; Information services; Information systems; Service oriented architecture (SOA); Complex event processing; Data collection; Distributed systems; Emergency operations; Training exercise; Architecture  
  Abstract In order to perform serious research on reliable data from emergency operations and trainings, technological support is essential. Therefore we present an architecture for distributed, event-driven systems for the collection and analysis of data in emergency operations and trainings. The logical as well as the technical architecture will be presented. Most important design decisions, e.g. regarding extensibility, will be described. The architecture has been implemented as a system, which is composed out of a core server and distributed sensors sending data. The system is running since two years in two big European cities. © 2012 ISCRAM.  
  Address University of Paderborn, Germany  
  Corporate Author Thesis  
  Publisher Simon Fraser University Place of Publication Vancouver, BC Editor L. Rothkrantz, J. Ristvej, Z.Franco  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 9780864913326 Medium  
  Track Event-Driven Techniques and Methods for Crisis Management Expedition Conference 9th International ISCRAM Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 165  
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