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Improving Disaster Resilience and Mitigation - IT Means and Tools

  • Conference proceedings
  • © 2014

Overview

Editors:
  1. Horia-Nicolai Teodorescu

    1. Institute of Computer Science and ‘Gheorghe Asachi’ Technical University of Iasi, Iasi, Romania

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  2. Alan Kirschenbaum

    1. Faculty of Industrial Engineering and Management, Samuel Neaman Institute for Advanced Studies,Technion – Israel Institute of Technology, Haifa, Israel

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  3. Svetlana Cojocaru

    1. Institute of Mathematics and Computer Science of the Academy of Sciences of Moldova, Chisinau, Moldova

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  4. Claude Bruderlein

    1. Department of Global Health and Populati, Harvard University, Cambridge, USA

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  • First volume dedicated to almost all aspects of IT use in the various phases of increasing the resilience of societies facing disasters
  • Application topics balanced by chapters on methods and fundamentals
  • Offers interdisciplinary viewpoints on the use of computer technology in disaster mitigation
  • Includes novel approaches and recommendations for enhancing the resilience
  • Includes supplementary material: sn.pub/extras

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Table of contents (22 papers)

  1. Front Matter

    Pages i-xvi
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  2. Fundamentals and Modeling

    1. Front Matter

      Pages 1-1
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    2. Survey of IC&T in Disaster Mitigation and Disaster Situation Management

      • Horia-Nicolai L. Teodorescu
      Pages 3-21

    3. Organizations Under Siege: Innovative Adaptive Behaviors in Work Organizations

      • Alan (Avi) Kirschenbaum, Carmit Rapaport
      Pages 23-43

    4. Risk Perception and Communication

      • Frederic Bouder
      Pages 45-62

    5. Establishing Social Resilience with (Public-Private Partnership)-Based BCM (Business Continuity Management)

      • Kenji Watanabe
      Pages 63-72

    6. A Model for the Spatio-temporal Distribution of Population using Country-Wide Statistical Data and Its Application to the Estimation of Human Exposure to Disasters

      • Keisuke Himoto, Jumpei Kimata
      Pages 73-87

    7. From Noise to Knowledge: Smart City-Responses to Disruption

      • Jörg Rainer Noennig, Peter Schmiedgen
      Pages 89-101

    8. Challenges of Image-Based Crowd-Sourcing for Situation Awareness in Disaster Management

      • Guillaume Moreau, Myriam Servières, Jean-Marie Normand, Morgan Magnin
      Pages 103-118

    9. Foresight and Forecast for Prevention, Mitigation and Recovering after Social, Technical and Environmental Disasters

      • Natalya D. Pankratova, Peter I. Bidyuk, Yurij M. Selin, Illia O. Savchenko, Lyudmila Y. Malafeeva, Mykhailo P. Makukha et al.
      Pages 119-134

    10. Disaster Early Warning and Relief: A Human-Centered Approach

      • Ernesto Damiani, Mustafa Asim Kazancigil, Fulvio Frati, Babiga Birregah, Rainer Knauf, Setsuo Tsuruta
      Pages 135-151

    11. Expert Systems for Assessing Disaster Impact on the Environment

      • Mykola M. Biliaiev, N. Rostochilo, M. Kharytonov
      Pages 153-165

    12. Fuzzy Logic and Data Mining in Disaster Mitigation

      • Abraham Kandel, Dan Tamir, Naphtali D. Rishe
      Pages 167-186

    13. Decision Support to Build in Landslide-Prone Areas

      • Irina Lungu, Anghel Stanciu, Gabriela Covatariu, Iancu-Bogdan Teodoru
      Pages 187-200

  3. Tools and Applications

    1. Front Matter

      Pages 201-201
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    2. Mitigation using Emergent Technologies

      • Leon J. M. Rothkrantz
      Pages 203-223

    3. Geographic Information for Disaster Management – An Overview

      • Wolfgang P. Reinhardt
      Pages 225-238

    4. The Potential of Cloud Computing for Analysis and Finding Solutions in Disasters

      • Mitica Craus, Cristian Butincu
      Pages 239-252

    5. How to Improve the Reactiveness and Efficiency of Embedded Multi-core Systems by Use of Probabilistic Simulation and Optimization Techniques

      • Jürgen Mottok, Martin Alfranseder, Stefan Schmidhuber, Matthias Mucha, Andreas Sailer
      Pages 253-268

    6. Design of Safe Systems

      • Peter Hlousek, Ivan Konecny
      Pages 269-282
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Keywords

About this book

The focus of this volume is comprised of the fundamentals, models, and information technologies (IT) methods and tools for disaster prediction and mitigation. A more detailed list of topics includes mathematical and computational modeling of processes leading to or producing disasters, modeling of disaster effects, IT means for disaster mitigation, including data mining tools, knowledge-based and expert systems for use in disaster circumstances, GIS-based systems for disaster prevention and mitigation and equipment for disaster-prone areas. A specific type or class of disasters (natural or human-made), however will not be part of the main focus of this work. Instead, this book was conceived to offer a comprehensive, integrative view on disasters, seeking to determine what various disasters have in common. Because disaster resilience and mitigation involve humans, societies and cultures, not only technologies and economic models, special attention was paid in this volume to gain a comprehensive view on these issues, as a foundation of the IT tool design.

Editors and Affiliations

  • Institute of Computer Science and ‘Gheorghe Asachi’ Technical University of Iasi, Iasi, Romania

    Horia-Nicolai Teodorescu

  • Faculty of Industrial Engineering and Management, Samuel Neaman Institute for Advanced Studies,Technion – Israel Institute of Technology, Haifa, Israel

    Alan Kirschenbaum

  • Institute of Mathematics and Computer Science of the Academy of Sciences of Moldova, Chisinau, Moldova

    Svetlana Cojocaru

  • Department of Global Health and Populati, Harvard University, Cambridge, USA

    Claude Bruderlein

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