A Novel Feature Extraction Approach Using Window Function Capturing and QPSO-SVM for Enhancing Electronic Nose Performance
نویسندگان
چکیده
منابع مشابه
A Novel Feature Extraction Approach Using Window Function Capturing and QPSO-SVM for Enhancing Electronic Nose Performance
In this paper, a novel feature extraction approach which can be referred to as moving window function capturing (MWFC) has been proposed to analyze signals of an electronic nose (E-nose) used for detecting types of infectious pathogens in rat wounds. Meanwhile, a quantum-behaved particle swarm optimization (QPSO) algorithm is implemented in conjunction with support vector machine (SVM) for real...
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A novel multi-class classification method for bacteria detection termed quantum-behaved particle swarm optimization-based kernel extreme learning machine (QPSO-KELM) based on an electronic nose (E-nose) technology is proposed in this paper. Time and frequency domain features are extracted from E-nose signals used for detecting four different classes of wounds (uninfected and infected with Staph...
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The aim of this research was to enhance the classification accuracy of an electronic nose (E-nose) in different detecting applications. During the learning process of the E-nose to predict the types of different odors, the prediction accuracy was not quite satisfying because the raw features extracted from sensors' responses were regarded as the input of a classifier without any feature extract...
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Many research groups in academia and industry are focusing on the performance improvement of electronic nose (E-nose) systems mainly involving three optimizations, which are sensitive material selection and sensor array optimization, enhanced feature extraction methods and pattern recognition method selection. For a specific application, the feature extraction method is a basic part of these th...
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Reference [1] H.T. Nagle, S. Schiffman and R. Guitierrez-Osuna, “The How and Why of Electronic Noses”, IEEE Spectrum, pg. 22-33, September 1998. [2] J. Gardner and P. Bartlett, Electronic Noses: Principles and Applications, Oxford University Press, November 1998. [3] Michael R. Wandel, Achim Lilienthal, Tom Duckett, UdoWeimar, and Andreas Zell. Gas Distribution in Unventilated Indoor Environmen...
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ژورنال
عنوان ژورنال: Sensors
سال: 2015
ISSN: 1424-8220
DOI: 10.3390/s150715198