Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)

The Korean Institute of Electrical Engineers (대한전기학회)
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Detection and Classification of Indoor Environmental gases using Fuzzy ART

Fuzzy ART를 이용한 실내 유해가스의 검출 및 분류

  • Lee, Jae-Seop (School of Electronics Kyungpook National University) ;
  • Cho, Jung-Hwan (School of Electronics Kyungpook National University) ;
  • Jeon, Gi-Joon (School of Electronics Kyungpook National University)
  • 이재섭 (경북대학교 대학원 전자공학과) ;
  • 조정환 (경북대학교 대학원 전자공학과) ;
  • 전기준 (경북대학교 대학원 전자공학과)
  • Published : 2003.11.21
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Abstract

In this paper, we proposed fuzzy adaptive resonance theory(ART) combined with principle component analysis(PCA) to recognize and classify indoor environmental gases. In experiment Taguchi gas sensors(TGS) are used to detect VOCs. Using thermal modulation of operating temperature of two sensors, we extract patterns of gases from the voltage across the load resistance. We use the PCA algorithm to reduce dimension so it needs less memory and shortens calculation time. Simulation is accomplished to two directions for fuzzy ART with and without PCA.

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