Designing Emergency Management Training Sessions for C3Fire

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C3Fire is an emergency management simulation system, used to develop team decision making skills and to provide an opportunity for researchers to perform research in a controlled (simulated) environment. Training is a crucial task for developing skills to tackle with emergency situation. The purpose of this thesis is to develop decision making skills by keeping focus on two major areas, namely; making prioritizations and searching information using UAV & Non UAV. Success of dealing with emergency management situation mostly depends on these training factors. Training sessions are designed on the basis of literature study and research work, hence capable of achieving desired goals i.e. making prioritizations & searching information during emergency situations. In this thesis, theory part discusses literature about C3Fire and theoretical framework explains different terminologies and methods used in emergency management. Training sessions and their analysis is explained using theoretical framework. Finally, these training sessions are experimented by the help of real participants(Humans) in C3Fire Simulation Lab (Linköping University, Sweden).

Autorentext

Both completed their Masters in "Software Engineering & Management" from Linköping University, Sweden and Bachelors in "Software Engineering" from International Islamic University Islamabad, Pakistan. Currently both are serving for Leading IT Industry as Software Engineer. Emails:"arshad.muteer@gmail.com", "tehmanpervaiz@gmail.com"

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Weitere Informationen

  • Allgemeine Informationen
    • Sprache Englisch
    • Gewicht 203g
    • Untertitel A Prioritization and Information Searching Perspective
    • Autor Muteer Arshad , Tehman Pervaiz
    • Titel Designing Emergency Management Training Sessions for C3Fire
    • Veröffentlichung 06.01.2011
    • ISBN 3843374554
    • Format Kartonierter Einband
    • EAN 9783843374552
    • Jahr 2011
    • Größe H220mm x B150mm x T8mm
    • Herausgeber LAP LAMBERT Academic Publishing
    • Anzahl Seiten 124
    • GTIN 09783843374552

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