Bancha Charumporn

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In this paper, a reliable electronic nose (EN) system designed from the combination of various metal oxide gas sensors (MOGS) is applied to detect the early stage of fire from various sources. The time series signals of the same source of fire in every repetition data are highly correlated and each source of fire has a unique pattern of time series data.(More)
In this paper, a reliable electronic nose (EN) system designed from the combination of various metal oxide gas sensors (MOGS) is applied to the detection of fire resulting from various sources at an early stage. The time series signals obtained from the same source of lire are highly correlated, and different sources of lire exhibit unique patterns in the(More)
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