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Emergence of new materials and in particular the recent progress in Memristor and related memory technologies encouraged the research community for a renewed approach towards formulation of architectures such as those that depend upon associate memory constructs to take the advantages being offered within this new design domain. In this paper we address a key issue in pattern matching and classification...
In the case of semiconductor-type gas sensors, since the reproductivity and selectivity are often declined because of a drift effect, it is hard to extract important features from the micro gas sensor array response to discriminate gas mixtures. In this paper, by using the DWT(Discrete Wavelet Transform) we eliminate the factors which cause the drift and extract the features from the transformed patterns...
We present a study on the development and testing of a wireless electronic nose network (WENn) for monitoring real-time gas mixture, NH3 and H2S, main malodors in various environments. The proposed WENn is based on an embedded PC, an electronic olfactory system and wireless sensor network (WSN) technology and neuro-fuzzy network algorithms. The WENn used in this work takes advantage of recent advances...
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