Cover Image

The architecture of fuzzy agent in rescuer monitoring system

Malaysia is a developing country and currently experiences a new emerging safety issue, which considered as critical. Country likes Malaysia is in aggressive mission to develop its country by year 2020. In the effort to achieve developed country, it requires development in each industry. There will...

Full description

Saved in:
Bibliographic Details
Main Authors: Ahmad, A.H., Mahmood, A.K., Jaafar, J.
Format: Article
Published: Science Publications 2015
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84954328483&doi=10.3844%2fajeassp.2015.345.353&partnerID=40&md5=9e674bd17a6ebfc2ae9d463978a72ee1
http://eprints.utp.edu.my/25984/
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.utp.eprints.25984
record_format eprints
spelling my.utp.eprints.259842021-08-30T08:49:05Z The architecture of fuzzy agent in rescuer monitoring system Ahmad, A.H. Mahmood, A.K. Jaafar, J. Malaysia is a developing country and currently experiences a new emerging safety issue, which considered as critical. Country likes Malaysia is in aggressive mission to develop its country by year 2020. In the effort to achieve developed country, it requires development in each industry. There will be more works should be done by workers in the same duration compares to the last few years. With lots of tasks, people get stress out and this will lead to mistakes. Unsafe action sometimes cause accidents, worst may cause death. Especially hazardous works such as professional that need to work in manhole, low oxygen level confined space, underwater and fire fighter. This people need to be monitored during their operation to ensure their safety, thus the operation can complete successfully. In this study, we focus on the personal monitoring for fire fighter during their rescue operation. An agent based monitoring system using type-1 fuzzy logic is simulated to see the effect on personal�s parameters, such as breathing rate, breathing air level and body motion. A case study has been done to get the real fuzzy data which gathered by sensors to be tested using Mamdani type-1 fuzzy method. The result produced a reliable crisp output which then processed by the system to alerts the fire fighter any predicted accident that might happen. Intelligent agent adopted in this engine helps monitoring system act autonomously and process a reliable decision. This engine generate precise and reliable output from fuzzy input as we deal with human lives. As the result, injuries or fatality during works can be reduced. © 2015 Azwin Hazrina Ahmad, Ahmad Kamil Mahmood and Jafreezal Jaafar. Science Publications 2015 Article NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-84954328483&doi=10.3844%2fajeassp.2015.345.353&partnerID=40&md5=9e674bd17a6ebfc2ae9d463978a72ee1 Ahmad, A.H. and Mahmood, A.K. and Jaafar, J. (2015) The architecture of fuzzy agent in rescuer monitoring system. American Journal of Engineering and Applied Sciences, 8 (3). pp. 345-353. http://eprints.utp.edu.my/25984/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
description Malaysia is a developing country and currently experiences a new emerging safety issue, which considered as critical. Country likes Malaysia is in aggressive mission to develop its country by year 2020. In the effort to achieve developed country, it requires development in each industry. There will be more works should be done by workers in the same duration compares to the last few years. With lots of tasks, people get stress out and this will lead to mistakes. Unsafe action sometimes cause accidents, worst may cause death. Especially hazardous works such as professional that need to work in manhole, low oxygen level confined space, underwater and fire fighter. This people need to be monitored during their operation to ensure their safety, thus the operation can complete successfully. In this study, we focus on the personal monitoring for fire fighter during their rescue operation. An agent based monitoring system using type-1 fuzzy logic is simulated to see the effect on personal�s parameters, such as breathing rate, breathing air level and body motion. A case study has been done to get the real fuzzy data which gathered by sensors to be tested using Mamdani type-1 fuzzy method. The result produced a reliable crisp output which then processed by the system to alerts the fire fighter any predicted accident that might happen. Intelligent agent adopted in this engine helps monitoring system act autonomously and process a reliable decision. This engine generate precise and reliable output from fuzzy input as we deal with human lives. As the result, injuries or fatality during works can be reduced. © 2015 Azwin Hazrina Ahmad, Ahmad Kamil Mahmood and Jafreezal Jaafar.
format Article
author Ahmad, A.H.
Mahmood, A.K.
Jaafar, J.
spellingShingle Ahmad, A.H.
Mahmood, A.K.
Jaafar, J.
The architecture of fuzzy agent in rescuer monitoring system
author_facet Ahmad, A.H.
Mahmood, A.K.
Jaafar, J.
author_sort Ahmad, A.H.
title The architecture of fuzzy agent in rescuer monitoring system
title_short The architecture of fuzzy agent in rescuer monitoring system
title_full The architecture of fuzzy agent in rescuer monitoring system
title_fullStr The architecture of fuzzy agent in rescuer monitoring system
title_full_unstemmed The architecture of fuzzy agent in rescuer monitoring system
title_sort architecture of fuzzy agent in rescuer monitoring system
publisher Science Publications
publishDate 2015
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-84954328483&doi=10.3844%2fajeassp.2015.345.353&partnerID=40&md5=9e674bd17a6ebfc2ae9d463978a72ee1
http://eprints.utp.edu.my/25984/
_version_ 1738656807414398976
score 13.211869

Similar Items