Journal of Sensor Science and Technology (센서학회지)

The Korean Sensors Society (한국센서학회)
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A Step-wise Elimination Method Based on Euclidean Distance for Performance Optimization Regarding to Chemical Sensor Array

유클리디언 거리 기반의 단계적 소거 방법을 통한 화학센서 어레이 성능 최적화

  • Lim, Hea-Jin (Division of Electronics, Information & Communication Engineering, Kangwon National University) ;
  • Choi, Jang-Sik (Division of Electronics, Information & Communication Engineering, Kangwon National University) ;
  • Jeon, Jin-Young (Division of Electronics, Information & Communication Engineering, Kangwon National University) ;
  • Byu, Hyung-Gi (Division of Electronics, Information & Communication Engineering, Kangwon National University)
  • 임해진 (강원대학교 전자정보통신공학부) ;
  • 최장식 (강원대학교 전자정보통신공학부) ;
  • 전진영 (강원대학교 전자정보통신공학부) ;
  • 변형기 (강원대학교 전자정보통신공학부)
  • Received : 2015.07.20
  • Accepted : 2015.07.27
  • Published : 2015.07.31
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Abstract

In order to prevent drink-driving by detecting concentration of alcohol from driver's exhale breath, twenty chemical sensors fabricated. The one of purposes for sensor array which consists of those sensors is to discriminate between target gas(alcohol) and interference gases($CH_3CH_2OH$, CO, NOx, Toluene, and Xylene). Wilks's lambda was presented to achieve above purpose and optimal sensors were selected using the method. In this paper, step-wise sensor elimination based on Euclidean distance was investigated for selecting optimal sensors and compared with a result of Wilks's lambda method. The selectivity and sensitivity of sensor array were used for comparing performance of sensor array as a result of two methods. The data acquired from selected sensor were analyzed by pattern analysis methods, principal component analysis and Sammon's mapping to analyze cluster tendency in the low space (2D). The sensor array by stepwise sensor elimination method had a better sensitivity and selectivity compared to a result of Wilks's lambda method.

Keywords

References

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  1. Investigation of Chemical Sensor Array Optimization Methods for DADSS vol.25, pp.1, 2016, https://doi.org/10.5369/JSST.2016.25.1.13
  2. Sensor array optimization techniques for exhaled breath analysis to discriminate diabetics using an electronic nose pp.12256463, 2018, https://doi.org/10.4218/etrij.2017-0018