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Wilks Lamda 방법을 이용한 화학센서 어레이 최적화

Chemical Sensors Array Optimization Based on Wilks Lamda Technique

  • 전진영 (강원대학교 전자정보통신공학부) ;
  • 유준부 (강원대학교 전자정보통신공학부) ;
  • 신정숙 (강원대학교 전자정보통신공학부) ;
  • 변형기 (강원대학교 전자정보통신공학부)
  • Jeon, Jin-Young (Division of Electronics, Information & Communication Engineering, Kangwon National University) ;
  • Shin, Jeong-Suk (Division of Electronics, Information & Communication Engineering, Kangwon National University) ;
  • Yu, Joon-Boo (Division of Electronics, Information & Communication Engineering, Kangwon National University) ;
  • Byun, Hyung-Gi (Division of Electronics, Information & Communication Engineering, Kangwon National University)
  • 투고 : 2014.08.21
  • 심사 : 2014.09.11
  • 발행 : 2014.09.30

초록

Optimizing the performance of a composite sensor array is necessary when the number of sensors to choose from is large. In this paper, we present a chemical sensors array optimization method using Wilks Lamda algorithm applicable a device to detect low concentration of alcohol from driver's exhale breath for interlocking engine ignition preventing drink-driving. More than 20 chemical sensors fabricated different synthetic stuffs and heater temperatures by collaborators were nominated, 5 sensors were selected for optimal sensors array using the method, and alcohol samples were well discriminated from the interference gases inside the vehicle. It has been confirmed by Principal Component Analysis (PCA).

키워드

참고문헌

  1. Y. D. Oh, E. J. Kim, and S. H. Park, "A study on vehicle and driver state response of drunk driving", Proc. of IEEK Summer Conf. , pp 1121-1124, Jeju, Korea, 2014.
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피인용 문헌

  1. A Step-wise Elimination Method Based on Euclidean Distance for Performance Optimization Regarding to Chemical Sensor Array vol.24, pp.4, 2015, https://doi.org/10.5369/JSST.2015.24.4.258
  2. Investigation of Chemical Sensor Array Optimization Methods for DADSS vol.25, pp.1, 2016, https://doi.org/10.5369/JSST.2016.25.1.13
  3. 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