A Next Generation Technology Victim Location and Low Level Assessment Framework for Occupational Disasters Caused by Natural Hazards

Author:

Bessis Nik1ORCID,Asimakopoulou Eleana2,Norrington Peter2,Thomas Suresh2,Varaganti Ravi2

Affiliation:

1. Edge Hill University, UK

2. University of Bedfordshire, UK

Abstract

Much work is underway within the broad next generation technologies community on issues associated with the development of services to support interdisciplinary domains. Disaster reduction and emergency management are domains in which utilization of advanced information and communication technologies (ICT) are critical for sustainable development and livelihoods. In this article, the authors aim to use an exemplar occupational disaster scenario in which advanced ICT utilization could present emergency managers with some collective computational intelligence in order to prioritize their decision making. To achieve this, they adapt concepts and practices from various next generation technologies including ad-hoc mobile networks, Web 2.0, wireless sensors, crowd sourcing and situated computing. On the implementation side, the authors developed a data mashup map, which highlights the criticality of victims at a location of interest. With this in mind, the article describes the service architecture in the form of data and process flows, its implementation and some simulation results.

Publisher

IGI Global

Subject

Computer Networks and Communications,Hardware and Architecture

Reference11 articles.

1. Asimakopoulou, E., Anumba, C. J., Bouchlaghem, D., & Sagun, A. (2006, August). Use of ICT during the response phase in emergency management in Greece and the United Kingdom. Paper presented at the International Disaster Reduction Conference (IDRC), Davos, Switzerland.

2. Advanced ICTs for Disaster Management and Threat Detection

3. A Personalised Forest Fire Evacuation Data Grid Push Service – The FFED-GPS Approach;E.Asimakopoulou;Advanced ICTs for Disaster Management and Threat Detection: Collaborative and Distributed Frameworks,2010

4. Model architecture for a user tailored data push service in data grids;N.Bessis;Grid Technology for Maximizing Collaborative Decision Management and Support: Advancing Effective Virtual Organizations,2009

5. Bessis, N., Asimakopoulou, E., French, T., Norrington, P., & Xhafa, F. (2010, November 4-6). The Big Picture, from Grids and Clouds to Crowds: A Data Collective Computational Intelligence Case Proposal for Managing Disasters. In Proceedings of the Fifth International Conference on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC), Fukuoka Institute of Technology, Fukuoka, Japan.

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Online Social Network Analysis (OSNA) Based Approach for Interconnecting Complex Systems of Internet of Things (SIoT);Intelligent Systems Reference Library;2019-11-14

2. Evacuation Guidance Method by Using Augmented Reality and Digital Signage;Advances in Intelligent Networking and Collaborative Systems;2017-08-17

3. Delay Tolerant Navigation Method for Fast Evacuation in Poor Communication Environment at the Time of Disaster;International Journal of Distributed Systems and Technologies;2015-07

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3