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The rapid detection of Chinese liquors is one of the most demanded techniques of the China light industry and electronic noses (e-noses) have been used to solve this problem. However, these e-noses using classic dynamic sampling (CDS) method consume quite long sampling time. In this paper, a novel bio-inspired breathing sampling (BBS) method is proposed to shorten the sampling time. The proposed BBS...
Traditional data processing methods for electronic noses (e-noses) need to use the whole response curves (including rise, steady and recovery phases) of sensor array, which leads to a long sampling time. The traditional methods also perform many steps such as signal pre-processing, feature generation/reduction, and classification, which increase the difficulty of selecting a suitable method for each...
We proposed a novel bio-inspired olfactory neural network to perform data processing in our designed electronic nose (e-nose). This olfactory neural network mimics the main structures of the mammal animals' olfactory system. It contains olfactory sensing neurons, mitral cells and granule cells. The proposed method can directly use the raw data collected from sensors in the e-nose without any data...
In this paper, a portable electronic nose (e-nose), being highlighted with high speed and portability, was developed to classify Chinese liquor. It consisted of sampling module, gas chamber and ARM processor. First, two cascaded chambers wrapped with thermostat (Silicone heating band) were designed, one for rapid evaporation, and the other for reaction of the liquor samples. Then a novel bio-inspired...
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