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• W3155242616 startingPage "103364" @default.
• W3155242616 abstract "Fires are considered one of the most devastating accidents that could occur within a building. However, existing fire detection systems result in late fire detection or produce a high false alarm rate due to the complex patterns and temporal dynamics found in sensor signals that come from the various types of fires. This paper develops a novel fire detection algorithm that is based on multiple sensors in different locations to provide reliable real-time fire monitoring. The proposed fire detection algorithm takes into account both current and past sensor measurements and evaluates the similarity of sensor signals based on a dynamic time warping distance measure. Moreover, the proposed algorithm adaptively selects the sensors that are critical in detecting a fire in an early stage based on the developed k-out-of-P fire voting rule, which effectively combines decision rules from P multichannel sensor signals. A case study was performed using a real-life fire dataset obtained from the National Institute of Standards and Technology to demonstrate the effectiveness of the proposed approach." @default.
• W3155242616 created "2021-04-26" @default.
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• W3155242616 date "2021-07-01" @default.
• W3155242616 modified "2023-09-23" @default.
• W3155242616 title "Real-time fire detection system based on dynamic time warping of multichannel sensor networks" @default.
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• W3155242616 doi "https://doi.org/10.1016/j.firesaf.2021.103364" @default.
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