A Proposal Representation, Digital Coding and Clustering of Odor Information

Author

Kim, Jeong-Do ; Kim, Dong-Jin ; Han, Dong-Won ; Byun, Hyung-Gi ; Ham, Yu-Kyung ; Jung, Woo-Suk ; Park, Jun-Seok ; Oh, Sam-Kweon

Author_Institution

Dept. of Electron. Eng., Hoseo Univ., Chungnam

Volume

1

fYear

2006

fDate

Nov. 2006

Firstpage

872

Lastpage

877

Abstract

In this paper, we propose techniques converting odor information into digital data to provide representation, digital coding, and clustering of various odors for olfactory information communication. About forty emotional adjectives describing various kinds of odors are selected as expressional receptors. Each of the odors is expressed by a definite adjective. The odors expressed using emotional receptors are coded using a predetermined method for transmission. After being transmitted, the odor data is decoded using a fuzzy c-means (FCM) clustering algorithm. Since the odor data are expressed in 40 dimensions, a longer computing times and a larger size of memory are required for FCM algorithm. To solve these problems, the dimensions of the data are reduced by principal component analysis (PCA) before using the FCM algorithm

Keywords

chemioception; encoding; pattern clustering; principal component analysis; data representation; digital clustering; digital coding; fuzzy c-means clustering; odor information; olfactory information communication; principal component analysis; Chemicals; Cities and towns; Clustering algorithms; Data engineering; Decoding; Humans; Image restoration; Olfactory; Principal component analysis; Proposals;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence and Security, 2006 International Conference on

Conference_Location

Guangzhou

Print_ISBN

1-4244-0605-6

Electronic_ISBN

1-4244-0605-6

Type

conf

DOI

10.1109/ICCIAS.2006.294262

Filename

4072215