DOI QR코드

DOI QR Code

A Study on Malodor Pattern Analysis Using Gas Sensor Array

가스센서 어레이를 이용한 악취 패턴분석에 대한 연구

  • Choi, Jang-Sik (Technology R&D Center, Lookidea Co.) ;
  • Jeon, Jin-Young (Division of Electronics, Information & Communication Engineering, Kangwon National University) ;
  • Byun, Hyung-Gi (Division of Electronics, Information & Communication Engineering, Kangwon National University) ;
  • Lim, Hea-Jin (Division of Electronics, Information & Communication Engineering, Kangwon National University)
  • 최장식 (루키디아 기술연구개발부) ;
  • 전진영 (강원대학교 전자정보통신공학부) ;
  • 변형기 (강원대학교 전자정보통신공학부) ;
  • 임해진 (강원대학교 전자정보통신공학부)
  • Received : 2013.06.13
  • Accepted : 2013.07.21
  • Published : 2013.07.31

Abstract

This paper presents to analyze patterns from single and complex malodors using gas sensor array based on metal oxide semiconductors. The aim of research is to identify and discriminate single malodors such as $NH_3$, $CH_3SH$ and $H_2S$ and their mixtures according to concentration levels. Measurement system for analyzing patterns from malodors is constructed by an array of metal oxide semiconductor sensors which are available commercially together with associate electronics. The patterns from sensory system are analyzed by Principal Component Analysis (PCA) which is simple statistical pattern recognition technique. Throughout the experimental trails, we confirmed the experimental procedure for measurement system such as sensors calibration time and gas flow rate, and discriminated malodors using pattern analysis technique.

Keywords

References

  1. http://www.krcc.or.kr// (retrieved on Mar. 25, 2013).
  2. Keith J. Albert, David R. Walt, Daljeet S. Gill, and Tim C. Pearce, "Optical multi-bead arrays for simple and complex odor discrimination", Anal. Chem., Vol. 73, No. 11, pp. 2501-2508, 2001. https://doi.org/10.1021/ac001137a
  3. A. S. Yuwono and P. S. Lammers, "Performance test of a sensor array-based odor detection instrument", Journal of Science and Research Development, Vol. 3, pp. 9-25, 2004.
  4. E. G. Kim, S. O. Lee, J. H. Kim, C. K. Kim, Y. T. Byun, H. S. Kim, and T. J. Lee, "Pattern recognition for selective odor detection with gas sensor arrays", Sensors, Vol. 12, pp. 16262-16273, 2012. https://doi.org/10.3390/s121216262
  5. M. Siegel, "Olfaction metal oxide semiconductor gas sensors and neural networks", In Traditional and Non-Traditional Robotic Sensors, Springer-Verlag, Berlin, vol. F63 of NATO ASI Series, pp. 143-157, 1990.
  6. A. Vergara, S. Vembu, T. Ayhan, M. A Ryan, M. L. Homer, and R. Huerta, "Chemical gas sensor drift compensation using classifier ensembles", Sens. Actuator B-Chem., Vol. 166-167, pp. 320-329, 2012.
  7. B. K. Song, AVR ATmega16 micro-controller using C language, Sungandang, Republic of Korea, pp 173-177, 2008.
  8. http://www.figaro-gas-sensor.fr/ (retrieved on Nov. 21, 2012).
  9. S. T. Kim, J. J. Lim, S. H. Park, and Y. J. Jo, The study on improvement of the fatigue phenomenon of odor gas sensor, Korean Society of Odor Research and Engineering fall Symposium, pp. 192-195, 2012.
  10. J. Chou, Hazardous Gas Monitors : A Practical Guide to Selection, Operation and Applications. Chapter 11 Gas Sensor Calibration, McGraw-Hill and SciTech Publishing, Mendham, NJ, October, pp. 161-173, 1999.