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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Format: | Conference or Workshop Item |
Language: | English |
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2018
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Online Access: | https://repo.uum.edu.my/id/eprint/25199/1/KMICE%202018%20101%20106.pdf |
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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 |
collection | UUM |
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 |
first_indexed | 2024-07-04T06:29:05Z |
format | Conference or Workshop Item |
id | uum-25199 |
institution | Universiti Utara Malaysia |
language | English |
last_indexed | 2024-07-04T06:29:05Z |
publishDate | 2018 |
record_format | eprints |
spelling | uum-251992018-11-21T02:02:32Z https://repo.uum.edu.my/id/eprint/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 https://repo.uum.edu.my/id/eprint/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 |
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 |
title | 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_short | Cloud-Based Early Warning System for Forest Fire using IoT Techniques |
title_sort | cloud based early warning system for forest fire using iot techniques |
topic | HD28 Management. Industrial Management |
url | https://repo.uum.edu.my/id/eprint/25199/1/KMICE%202018%20101%20106.pdf |
work_keys_str_mv | AT ramasamyrkanesaraj cloudbasedearlywarningsystemforforestfireusingiottechniques AT fangfangchua cloudbasedearlywarningsystemforforestfireusingiottechniques AT gaikyeechan cloudbasedearlywarningsystemforforestfireusingiottechniques |