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Author Serrano, Emilio ♦ Poveda, Geovanny ♦ Garijo, Mercedes
Source World Health Organization (WHO)-Global Index Medicus
Content type Text
Publisher Multidisciplinary Digital Publishing Institute
File Format HTM / HTML
Language English
Difficulty Level Medium
Subject Domain (in DDC) Computer science, information & general works ♦ Library & information sciences ♦ Social sciences ♦ Sociology & anthropology ♦ Natural sciences & mathematics ♦ Life sciences; biology ♦ Physiology & related subjects ♦ Technology ♦ Medicine & health ♦ Human physiology ♦ Diseases ♦ Manufacture for specific uses ♦ Precision instruments & other devices
Subject Domain (in MeSH) Investigative Techniques ♦ Analytical, Diagnostic and Therapeutic Techniques and Equipment ♦ Biological Phenomena ♦ Biological Sciences ♦ Social Sciences ♦ Anthropology, Education, Sociology and Social Phenomena ♦ Information Science ♦ Information Science
Subject Keyword Discipline Biotechnology ♦ Civil Defense ♦ Environment ♦ Computer Simulation ♦ Models, Theoretical ♦ Software ♦ Journal Article ♦ Research Support, Non-u.s. Gov't
Abstract One of the most promising fields for ambient intelligence is the implementation of intelligent emergency plans. Because the use of drills and living labs cannot reproduce social behaviors, such as panic attacks, that strongly affect these plans, the use of agent-based social simulation provides an approach to evaluate these plans more thoroughly. (1) The hypothesis presented in this paper is that there has been little interest in describing the key modules that these simulators must include, such as formally represented knowledge and a realistic simulated sensor model, and especially in providing researchers with tools to reuse, extend and interconnect modules from different works. This lack of interest hinders researchers from achieving a holistic framework for evaluating emergency plans and forces them to reconsider and to implement the same components from scratch over and over. In addition to supporting this hypothesis by considering over 150 simulators, this paper: (2) defines the main modules identified and proposes the use of semantic web technologies as a cornerstone for the aforementioned holistic framework; (3) provides a basic methodology to achieve the framework; (4) identifies the main challenges; and (5) presents an open and free software tool to hint at the potential of such a holistic view of emergency plan evaluation in indoor environments.
Description Country affiliation: Spain
Author Affiliation: Serrano E ( Department of Telematic Systems Engineering, Polytechnic University of Madrid, Madrid 28040, Spain.; Poveda G ( Department of Telematic Systems Engineering, Polytechnic University of Madrid, Madrid 28040, Spain.; Garijo M ( Department of Telematic Systems Engineering, Polytechnic University of Madrid, Madrid 28040, Spain.
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Reading ♦ Research ♦ Self Learning
Interactivity Type Expositive
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2014-03-06
Publisher Place Switzerland
e-ISSN 14248220
Journal Sensors
Volume Number 14
Issue Number 3

Source: WHO-Global Index Medicus