대한전기학회:학술대회논문집 (Proceedings of the KIEE Conference)
- 대한전기학회 2005년도 학술대회 논문집 정보 및 제어부문
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- Pages.133-137
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- 2005
Visual and Quantitative Analysis of Different Tastes in liquids with Fuzzy C-means and Principal Component Analysis Using Electronic Tongue System
- Kim, Joeng-Do (Dept. of Electronic Information & Communication Eng. Hoseo University) ;
- Kim, Dong-Jin (Dept. of Electronic Information & Communication Eng. Hoseo University) ;
- Byun, Hyung-Gi (Dept. of Information & Communication Eng. Samcheok National University) ;
- Ham, Yu-Kyung (Dept. of Electronic Information & Communication Eng. Hoseo University) ;
- Jung, Woo-Suk (Dept. of Electronic Information & Communication Eng. Hoseo University) ;
- Choo, Dae-Won (Dept. of Electronic Information & Communication Eng. Hoseo University)
- 발행 : 2005.10.28
초록
In this paper, we investigate visual and quantitative analysis of different tastes in the liquids using multi-array chemical sensor (MACS) based on the ion-selective electrodes (ISEs), which is so called the electronic tongue (E-Tongue) system. We apply the Fuzzy C-means (FCM) algorithm combined with Principal Component Analysis (PCA), which can be used to reduce multi-dimensional data to two- or three-dimensional data, to classify visually data patterns detected by E-Tongue system. The proposed technique can be determined the cluster centers and membership grade of patterns through the unsupervised way. The membership grade of an unknown pattern, which does not shown previously, can be visually and analytically determined. Throughout the experimental trails, the E-tongue system combined with the proposed algorithms is demonstrated robust performance for visual and quantitative analysis for different tastes in the liquids.