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A Study on Malodor Pattern Analysis Using Gas Sensor Array
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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 NH3, CH3SH and H2S 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.
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 NH3, CH3SH and H2S 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.
참고문헌 (10)
- Keith J. Albert, "Optical multi-bead arrays for simple and complex odor discrimination", Anal. Chem, 73(11), pp.2501~2508 (2001)
- A. S. Yuwono, "Performance test of a sensor array-based odor detection instrument", Journal of Science and Research Development, 3, pp.9~25 (2004)
- E. G. Kim, "Pattern recognition for selective odor detection with gas sensor arrays", Sensors, 12, pp.16262~16273 (2012)
- M. Siegel, "Olfaction metal oxide semiconductor gas sensors and neural networks, In Traditional and Non-Traditional Robotic Sensors", pp.143~157 (1990), Springer-Verlag
- A. Vergara, "Chemical gas sensor drift compensation using classifier ensembles", Sens. Actuator B-Chem, 166, pp.320~329 (2012)
- B. K. Song, "AVR ATmega16 micro-controller using C language", pp.173~177 (2008), Sungandang
- S. T. Kim, "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)
- J. Chou, "Hazardous Gas Monitors : A Practical Guide to Selection, Operation and Applications, In Chapter 11 Gas Sensor Calibration", pp.161~173 (1999), McGraw-Hill and SciTech Publishing