제어로봇시스템학회:학술대회논문집
- 제어로봇시스템학회 2001년도 ICCAS
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- Pages.61.3-61
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- 2001
Neural network algorithm for VOC gas recognition and concentration estimation at field screen using E-Nose System
- Kim, Jeong-Do (Samchok Univ.) ;
- Byun, Hyung-Gi (Samchok Univ.) ;
- Ham, Yu-Kyung (Samchok Univ.) ;
- Lee, Jun-Sub (Samchok Univ.) ;
- Shon, Won-Ryul (Samchok Univ.) ;
- Heo, Nam-Up (Samchok Univ.)
- 발행 : 2001.10.01
초록
Field screening for pollutants has been a target of instrumental development for number of years. An electronic nose can be of substantial benefit to rapidly localize the spatial extent of a pollution or to find pollutant source. Although an electronic nose cannot separate complex composition into the whole spectrum of present volatile organic compound(VOC) in pollutants such as Gas chromatography(GC), qualitative and semi-quantitative chemical characterizations are rapidly available on site at a low cost using the optimum sensory system and pattern recognition algorithm based on neural network.
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