지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록· 키워드
오류제보하기
In this paper, we proposed a post-processing technique for improving classification performance of electronic nose (E-Nose) system which may be occurred drift signals from sensor array. An adaptive radial basis function network using stochastic gradient (SG) and singular value decomposition (SVD) is applied to process signals from sensor array. Due to drift from sensor’s aging and poisoning problems, the final classification results may be showed bias and fluctuations. The predicted classification results with drift are quantized to determine which identification level each class is on. To mitigate sharp fluctuations moving-averaging (MA) technique is applied to quantized identification results. Finally, quantization and some edge correction process are used to decide levels of the fluctuationsmoothed identification results. The proposed technique has been indicated that E-Nose system was shown correct odor identification results even if drift occurred in sensor array. It has been confirmed throughout the experimental works. The enhancements have produced a very robust odor identification capability which can compensate for decision errors induced from drift effects with sensor array in electronic nose system.
목차
등록된 정보가 없습니다.
참고문헌 (6)
참고문헌 신청
E. Hines / 1999 / Electronic noses : a review of signal processing techniques / IEE-Proc. ?Circuit Devices Syst 146 (6) : 297 ~ 310
J. W Gardner / 1999 / Electronic Noses Principles and applications / Oxford Univ. Press : 1 ~ 5
K. Persaud / 1991 / Multielement arrays for sensing volatile chemicals / Intelligent Instruments and Computers 147 : 147 ~ 154
P. Pelosi / 1988 / Toward an artificial nose / Sensors and Sensory Systems for Advanced Robots, NATO ASI Series 43 : 49 ~ 70
김남용 / 2006 / Learning Behaviors of Stochastic Gradient Radial Basis Function Network Algorithms for Odor Sensing Systems / ETRI Journal 28 (1) : 59 ~ 66
J. W Gardner / 1999 / Electronic Noses Principles and applications / Oxford Univ. Press : 1 ~ 5
K. Persaud / 1991 / Multielement arrays for sensing volatile chemicals / Intelligent Instruments and Computers 147 : 147 ~ 154
P. Pelosi / 1988 / Toward an artificial nose / Sensors and Sensory Systems for Advanced Robots, NATO ASI Series 43 : 49 ~ 70
김남용 / 2006 / Learning Behaviors of Stochastic Gradient Radial Basis Function Network Algorithms for Odor Sensing Systems / ETRI Journal 28 (1) : 59 ~ 66
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