Cloud-Based Early Warning System for Forest Fire using IoT Techniques

A forest fire is a national hazard which happens almost every year in Malaysia. Millions of Ringgit is used to save the life stocks and also the villagers around the affected areas. Although many traditional methods have been used to prevent the fire merely based on experience, no accurate plan...

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Main Authors: Ramasamy, R Kanesaraj, Fang, Fang Chua, Gaik, Yee Chan
Format: Conference or Workshop Item
Language:English
Published: 2018
Subjects:
Online Access:http://repo.uum.edu.my/25199/1/KMICE%202018%20101%20106.pdf
http://repo.uum.edu.my/25199/
http://www.kmice.cms.net.my/ProcKMICe/KMICe2018/toc.html
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spelling my.uum.repo.251992018-11-21T02:02:32Z http://repo.uum.edu.my/25199/ Cloud-Based Early Warning System for Forest Fire using IoT Techniques Ramasamy, R Kanesaraj Fang, Fang Chua Gaik, Yee Chan HD28 Management. Industrial Management A forest fire is a national hazard which happens almost every year in Malaysia. Millions of Ringgit is used to save the life stocks and also the villagers around the affected areas. Although many traditional methods have been used to prevent the fire merely based on experience, no accurate plan is being implemented. Some systems are able to provide warning using historical data, but they are yet to provide an evacuation map. Hence, in this paper, we propose a cloud-based early warning system for a forest fire.The proposed system shall be able to provide warning to the firefighters before the fire starts. Additionally, it shall provide an evacuation plan for both the firefighters and also the villagers.Through the use of such a forest fire warning system coupled with an evacuation plan,life, property and environment damage could be reduced to a minimum 2018-07-25 Conference or Workshop Item PeerReviewed application/pdf en http://repo.uum.edu.my/25199/1/KMICE%202018%20101%20106.pdf Ramasamy, R Kanesaraj and Fang, Fang Chua and Gaik, Yee Chan (2018) Cloud-Based Early Warning System for Forest Fire using IoT Techniques. In: Knowledge Management International Conference (KMICe) 2018, 25 –27 July 2018, Miri Sarawak, Malaysia. http://www.kmice.cms.net.my/ProcKMICe/KMICe2018/toc.html
institution Universiti Utara Malaysia
building UUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Utara Malaysia
content_source UUM Institutionali Repository
url_provider http://repo.uum.edu.my/
language English
topic HD28 Management. Industrial Management
spellingShingle HD28 Management. Industrial Management
Ramasamy, R Kanesaraj
Fang, Fang Chua
Gaik, Yee Chan
Cloud-Based Early Warning System for Forest Fire using IoT Techniques
description A forest fire is a national hazard which happens almost every year in Malaysia. Millions of Ringgit is used to save the life stocks and also the villagers around the affected areas. Although many traditional methods have been used to prevent the fire merely based on experience, no accurate plan is being implemented. Some systems are able to provide warning using historical data, but they are yet to provide an evacuation map. Hence, in this paper, we propose a cloud-based early warning system for a forest fire.The proposed system shall be able to provide warning to the firefighters before the fire starts. Additionally, it shall provide an evacuation plan for both the firefighters and also the villagers.Through the use of such a forest fire warning system coupled with an evacuation plan,life, property and environment damage could be reduced to a minimum
format Conference or Workshop Item
author Ramasamy, R Kanesaraj
Fang, Fang Chua
Gaik, Yee Chan
author_facet Ramasamy, R Kanesaraj
Fang, Fang Chua
Gaik, Yee Chan
author_sort Ramasamy, R Kanesaraj
title Cloud-Based Early Warning System for Forest Fire using IoT Techniques
title_short Cloud-Based Early Warning System for Forest Fire using IoT Techniques
title_full Cloud-Based Early Warning System for Forest Fire using IoT Techniques
title_fullStr Cloud-Based Early Warning System for Forest Fire using IoT Techniques
title_full_unstemmed Cloud-Based Early Warning System for Forest Fire using IoT Techniques
title_sort cloud-based early warning system for forest fire using iot techniques
publishDate 2018
url http://repo.uum.edu.my/25199/1/KMICE%202018%20101%20106.pdf
http://repo.uum.edu.my/25199/
http://www.kmice.cms.net.my/ProcKMICe/KMICe2018/toc.html
_version_ 1644284255378866176
score 13.211869