Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)

The Korean Institute of Electrical Engineers (대한전기학회)
권호 표지

The study on representation, Digital coding and Clustering of odor information

후각정보 표현, 부호화 및 클러스터링에 관한 연구

  • 김정도 (호서대학교 전기정보통신공학부) ;
  • 정우석 (호서대학교 전기정보통신공학부) ;
  • 김동진 (호서대학교 전기정보통신공학부)
  • Published : 2004.11.12
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Abstract

In this paper, we suggest method that change odors to digital data. For this, we selected emotional adjective of odors as olfactory receptor This emotional adjective(expressional receptor) is about 40. Each odors are expressed by adjective equivalent to oneself. Expressed odors as emotional receptor is encoded as proposed method for transmission, and after transmission, It should be decoded for expression again. The applied decoding method is fuzzy c-means clustering algorithm(FCMA). But, because odor data is expressed to 40 dimensions, FCMA uses a lot of computing times and memories. To solve this problem, after we reduce dimension through principal component analysis(PCA), we use FCMA algorithm.

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