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Real-time fire detection system based on dynamic time warping of multichannel sensor networks
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ÁÖÀúÀÚ
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¹éÀç½Â, Taha J.Alhindia
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±³½ÅÀúÀÚ
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Á¤¿µ¼±, Á¤¸í±â
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°øµ¿ÀúÀÚ
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¼½ÂÈ£, °Á¾¼®, ½ÉÀ§, Çã¿ä¼·
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DOI
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doi.org/10.1016/j.firesaf.2021.103364
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Çмú±â°ü
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Fire Safety Journal
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¹ßÇà±â°ü
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Elsevier
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³í¹® ¿ä¾à
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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 -out-of- fire voting rule, which effectively combines decision rules from 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.
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°ÔÀçÀÏÀÚ
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2021³â 07¿ù 01ÀÏ
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Á¶È¸¼ö
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2680
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