A framework for real-time dynamic rescuing system for indoor environment

Most current emergency operations employ manual find-and-rescue procedures. Consequently, people trapped in a building remain helpless in an emergency, unable to call out successfully until a rescue team come along which often may be too late. The work presented in this study proposes a dynamic real...

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Main Authors: Olowolayemo, Akeem Koye, AlAnazari, Saleh, Zamri, Mohd Syafiq, Liaw, Mitchelle Ai Wei, Mantoro, Teddy
Format: Article
Language:English
English
Published: Little Lion Scientific 2020
Subjects:
Online Access:http://irep.iium.edu.my/88275/1/88275_A%20framework%20for%20real-time%20dynamic.pdf
http://irep.iium.edu.my/88275/2/88275_A%20framework%20for%20real-time%20dynamic_SCOPUS.pdf
http://irep.iium.edu.my/88275/
http://www.jatit.org/volumes/Vol98No22/24Vol98No22.pdf
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Institution: Universiti Islam Antarabangsa Malaysia
Language: English
English
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spelling my.iium.irep.882752021-02-08T01:32:25Z http://irep.iium.edu.my/88275/ A framework for real-time dynamic rescuing system for indoor environment Olowolayemo, Akeem Koye AlAnazari, Saleh Zamri, Mohd Syafiq Liaw, Mitchelle Ai Wei Mantoro, Teddy T Technology (General) Most current emergency operations employ manual find-and-rescue procedures. Consequently, people trapped in a building remain helpless in an emergency, unable to call out successfully until a rescue team come along which often may be too late. The work presented in this study proposes a dynamic real time rescue system approach to an emergency such as fire outbreak in residential multilevel building or apartment. The research focuses indoor environment, even though the idea is adaptable for outdoor environment as well. The study proposes utilizing automated reporting of disaster situation to fire service in the event of a fire outbreak, automated residents’ roll calls to all registered occupants in a building, automated emergency status request push notification to all residents, and dynamic rescue combined with indoor pathway safest route guidance, to guarantee safer rescuing procedures. The dynamic rescue approach employs dynamic trapped resident information mining to deploy firemen proportionately to affected areas. The accuracy of the resident information mining is approximately 97.8 % for large datasets while 90% (9/10) for small datasets. The study proposes strategies to mitigate observed challenges with most of the previous rescuing systems. It is hoped that this study may provide a new direction for emerging smart buildings and future directions for rescuing and emergency situation Little Lion Scientific 2020-11-30 Article PeerReviewed application/pdf en http://irep.iium.edu.my/88275/1/88275_A%20framework%20for%20real-time%20dynamic.pdf application/pdf en http://irep.iium.edu.my/88275/2/88275_A%20framework%20for%20real-time%20dynamic_SCOPUS.pdf Olowolayemo, Akeem Koye and AlAnazari, Saleh and Zamri, Mohd Syafiq and Liaw, Mitchelle Ai Wei and Mantoro, Teddy (2020) A framework for real-time dynamic rescuing system for indoor environment. Journal of Theoretical and Applied Information Technology, 98 (22). pp. 3618-3631. ISSN 1992-8645 E-ISSN 1817-3195 http://www.jatit.org/volumes/Vol98No22/24Vol98No22.pdf
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
English
topic T Technology (General)
spellingShingle T Technology (General)
Olowolayemo, Akeem Koye
AlAnazari, Saleh
Zamri, Mohd Syafiq
Liaw, Mitchelle Ai Wei
Mantoro, Teddy
A framework for real-time dynamic rescuing system for indoor environment
description Most current emergency operations employ manual find-and-rescue procedures. Consequently, people trapped in a building remain helpless in an emergency, unable to call out successfully until a rescue team come along which often may be too late. The work presented in this study proposes a dynamic real time rescue system approach to an emergency such as fire outbreak in residential multilevel building or apartment. The research focuses indoor environment, even though the idea is adaptable for outdoor environment as well. The study proposes utilizing automated reporting of disaster situation to fire service in the event of a fire outbreak, automated residents’ roll calls to all registered occupants in a building, automated emergency status request push notification to all residents, and dynamic rescue combined with indoor pathway safest route guidance, to guarantee safer rescuing procedures. The dynamic rescue approach employs dynamic trapped resident information mining to deploy firemen proportionately to affected areas. The accuracy of the resident information mining is approximately 97.8 % for large datasets while 90% (9/10) for small datasets. The study proposes strategies to mitigate observed challenges with most of the previous rescuing systems. It is hoped that this study may provide a new direction for emerging smart buildings and future directions for rescuing and emergency situation
format Article
author Olowolayemo, Akeem Koye
AlAnazari, Saleh
Zamri, Mohd Syafiq
Liaw, Mitchelle Ai Wei
Mantoro, Teddy
author_facet Olowolayemo, Akeem Koye
AlAnazari, Saleh
Zamri, Mohd Syafiq
Liaw, Mitchelle Ai Wei
Mantoro, Teddy
author_sort Olowolayemo, Akeem Koye
title A framework for real-time dynamic rescuing system for indoor environment
title_short A framework for real-time dynamic rescuing system for indoor environment
title_full A framework for real-time dynamic rescuing system for indoor environment
title_fullStr A framework for real-time dynamic rescuing system for indoor environment
title_full_unstemmed A framework for real-time dynamic rescuing system for indoor environment
title_sort framework for real-time dynamic rescuing system for indoor environment
publisher Little Lion Scientific
publishDate 2020
url http://irep.iium.edu.my/88275/1/88275_A%20framework%20for%20real-time%20dynamic.pdf
http://irep.iium.edu.my/88275/2/88275_A%20framework%20for%20real-time%20dynamic_SCOPUS.pdf
http://irep.iium.edu.my/88275/
http://www.jatit.org/volumes/Vol98No22/24Vol98No22.pdf
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