Browse > Article
http://dx.doi.org/10.3745/KIPSTB.2010.17B.1.009

A Method of Optimal Sensor Decision for Odor Recognition  

Roh, Yong-Wan (성균관대학교 정보통신공학부)
Kim, Dong-Ku (성균관대학교 정보통신공학부)
Kwon, Hyeong-Oh (성균관대학교 정보통신공학부)
Hong, Kwang-Seok (성균관대학교 정보통신공학부)
Publication Information
The KIPS Transactions:PartB / v.17B, no.1, 2010 , pp. 9-14 More about this Journal
Abstract
In this paper, we propose method of correlation coefficients between sensors by statistical analysis that selects optimal sensors in odor recognition system of selective multi-sensors. The proposed sensor decision method obtains odor data from Metal Oxide Semiconductor(MOS) sensor array and then, we decide optimal sensors based on correlation of obtained odors. First of all, we select total number of 16 sensors eliminated sensor of low response and low reaction rate response among similar sensors. We make up DB using 16 sensors from input odor and we select sensor of low correlation after calculated correlation coefficient of each sensor. Selected sensors eliminate similar sensors' response therefore proposed method are able to decide optimal sensors. We applied to floral scent recognition for performance evaluation of proposed sensors decision method. As a result, application of proposed method with floral scent recognition using correlation coefficient obtained recognition rate of 95.67% case of using 16 sensors while applied floral scent recognition system of proposed sensor decision method confirmed recognition rate of 94.67% using six sensors and 96% using only 8 sensors.
Keywords
Sensors decision method; Correlation Coefficient; Floral scent Recognition;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Gardner, J.W. and P.N. Bartlett.: “Electronic Noses, Principles and Applications,” Oxford Unversity Press, Inc., NY, USA, 1999.
2 Javier Gaayo : “Software Analysis Techniques for Odor Analysis and Classification Using the Electronic Nose,” Master Thesis, North Carolina State University, 2004.
3 Selena Sironi, Laura Capelli, Paolo Ce´ntola, Renato Del Rosso, Massimiliano Il Grande: “Continuous monitoring of odours from a composting plant using electronic noses,” ScienceDirect Waste Management, Vol.27, No.3, pp.389-397, 2007.   DOI   ScienceOn
4 C. Di Natale, A. Macagnano, F. Davide, A. D'Amico, R. Paolesse, T. Boschi, M. Faccio, G. Ferri.: “An electronic nose for food analysis,” Journal of Sensors and Actuators B, pp. 521-526, 1997.
5 Charumporn B. 외, “Compact Electronic Nose System Using Metal Oxide Gas Sensors for Fire Detection Systems,” International Joint Conference on Neural Network, pp.2214-2217, 2006.
6 Lozano J. 외, “Identification of Typical Wine Aromas by Means of an Electronic Nose,” IEEE Sensors Journal, Vol.6, No.1, pp.173-177, 2006.   DOI   ScienceOn
7 Nabarun Bhattacharyya 외, “Monitoring of black tea fermentation process using electronic nose,” Journal of Food Engineering, Vol.80, Issue4, June, 2007, pp.1146-1156.   DOI   ScienceOn
8 Corrado Di Natale, Antonella Macagnano, Roberto Paolesse, Enrico Tarizzo, Alessandro Mantini, Arnaldo D'Amico: “Human skin odor analysis by means of an electronic nose,” ScienceDirect Sensors and Actuators B: Chemical, Vol.65, No.1-3, pp.216-219, 2000.   DOI   ScienceOn
9 한학용, “패턴인식 개론,” 한빛미디어, 2005. 7.
10 M. Takano 외, “Real-time sensing of roses' aroma using an odor sensor of quartz crystal resonators,” IEICE Electronics Express, Vol.4, No.1, 2007.   DOI
11 Bhattacharyya, N. 외, “Aroma characterization of orthodox black tea with electronic nose”, TENCON 2004. 2004 IEEE Region 10 Conference, Vol.B, 2004.   DOI
12 Yong Shin Kim 외, “Portable electronic nose system based on the carbon black-polymer composite sensor array,” Sensors and Actuators B, Vol.108, Issues1-2, 2005, pp.285-291.   DOI   ScienceOn
13 이영순 외, 전자코(Electronic nose)를 이용한 장미의 향기패턴분석, 한국화훼연구회지, 제11권 제1호, 2003.
14 변미순 외, 전자코에 의한 나리의 종류, 개화 단계 및 꽃의 기관별 향기 특성의 비교, 한국화훼연구회지, 제15권 제1호, 2007.
15 T Yamada 외, “Wearable Olfactory Display Using Odor in Outdoor Environment,” Virtual Reality Conference, 2006, pp.199-206.   DOI
16 Ritaban Dutta 외, “Electronic Nose Based Tea Quality Standardization,” journal of Neural Networks, 2003, pp.847-853   DOI   ScienceOn
17 Gregory Shakhnarovich 외, “Nearest-Neighbor Methods in Learning and Vision: Theory and Practice,” The MIT Press, 2005.
18 Byeong-Geun Cheon 외, “An Implementation of Floral Scent Recognition System Using ICA Combined with Correlation Coefficients,” Springer-Verlag Berlin Heidelberg, 2009.
19 Mithchi Seiko 외, “Odor sensing in natural environment (2)-Application to the rose aroma sensing in an outside garden,” Nippon Kagakkai Koen Yokoshu, Vol.83, No.1, 2003.
20 A. M. Martinez and A. C. Kak, “PCA versus LDA,” IEEE Trans. Pattern Analysis and Machine Intelligence, Vol.23, No.2, 2001.
21 Charumporn B. 외, “Detecting Household Burning Smell Using a Neuro-Electronic Nose System,” IEEJ Trans. EIS, Vol.124, No.2, pp.520-525, 2004.   DOI
22 Chanem M.G.,Hassard J., Osmond M., and Richards M. “Sensor Grids for Air Pollution Monitoring,” UK e-Science All Hands Meeting, Nottingham, UK, 2004, pp.1-8.
23 Simon M. Scott 외, “Data analysis for electronic nose systems," Microchim Acta 156, 183-207, 2007.   DOI
24 S. Fukai외, “Discrimination of lily fragrance by use of an electronic nose,” ISHS Acta Horticulturae 572: XX International Eucarpia Symposium, Section Ornamentals, Strategies for New Ornamentals - Part II, 2001.