Fuzzy logic control mechanism for flash flood monitoring station
This paper proposes an adaptable flash flood monitoring station, called (MixKey). MixKeys have been designed, implemented, and installed on the target area. In order to efficiently operate under the real environmental conditions, fuzzy logic control mechanism has been applied to the design. This mak...
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th-cmuir.6653943832-533862018-09-04T09:48:30Z Fuzzy logic control mechanism for flash flood monitoring station Supamit Jankoo Paskorn Champrasert Benya Suntaranont Computer Science This paper proposes an adaptable flash flood monitoring station, called (MixKey). MixKeys have been designed, implemented, and installed on the target area. In order to efficiently operate under the real environmental conditions, fuzzy logic control mechanism has been applied to the design. This makes MixKey to automatically adapt its operation parameters (e.g., data transmission rate and electric power source) against the environmental condition changes. The results show that the fuzzy logic control mechanism contributes to reduce the RMS Error of the sensing data to the real-time environmental data with efficient battery consumption. © 2014 IEEE. 2018-09-04T09:48:30Z 2018-09-04T09:48:30Z 2014-01-01 Conference Proceeding 2-s2.0-84900012575 10.1109/SAS.2014.6798974 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84900012575&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/53386 |
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Computer Science Supamit Jankoo Paskorn Champrasert Benya Suntaranont Fuzzy logic control mechanism for flash flood monitoring station |
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This paper proposes an adaptable flash flood monitoring station, called (MixKey). MixKeys have been designed, implemented, and installed on the target area. In order to efficiently operate under the real environmental conditions, fuzzy logic control mechanism has been applied to the design. This makes MixKey to automatically adapt its operation parameters (e.g., data transmission rate and electric power source) against the environmental condition changes. The results show that the fuzzy logic control mechanism contributes to reduce the RMS Error of the sensing data to the real-time environmental data with efficient battery consumption. © 2014 IEEE. |
format |
Conference Proceeding |
author |
Supamit Jankoo Paskorn Champrasert Benya Suntaranont |
author_facet |
Supamit Jankoo Paskorn Champrasert Benya Suntaranont |
author_sort |
Supamit Jankoo |
title |
Fuzzy logic control mechanism for flash flood monitoring station |
title_short |
Fuzzy logic control mechanism for flash flood monitoring station |
title_full |
Fuzzy logic control mechanism for flash flood monitoring station |
title_fullStr |
Fuzzy logic control mechanism for flash flood monitoring station |
title_full_unstemmed |
Fuzzy logic control mechanism for flash flood monitoring station |
title_sort |
fuzzy logic control mechanism for flash flood monitoring station |
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2018 |
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https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84900012575&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/53386 |
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