Effective Retrieval of High Dimensional Vector by Class Coding in Vegetable Geographical Origin Identification System

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	Similar Articles Articles by Nobuyoshi Sato Articles by Minoru Uehara Articles by Koichiro Shimomura Articles by Hirobumi Yamamoto Articles by Kenichi Kamijo

27th International Conference on Distributed Computing Systems Workshops (ICDCSW'07)

Toronto, Canada

June 22-June 29

ISBN: 0-7695-2838-4

	ASCII Text	x
	Nobuyoshi Sato, Minoru Uehara, Koichiro Shimomura, Hirobumi Yamamoto, Kenichi Kamijo, "Effective Retrieval of High Dimensional Vector by Class Coding in Vegetable Geographical Origin Identification System," Distributed Computing Systems Workshops, International Conference on, pp. 35, 27th International Conference on Distributed Computing Systems Workshops (ICDCSW'07), 2007.

	BibTex	x
	@article{ 10.1109/ICDCSW.2007.34, author = {Nobuyoshi Sato and Minoru Uehara and Koichiro Shimomura and Hirobumi Yamamoto and Kenichi Kamijo}, title = {Effective Retrieval of High Dimensional Vector by Class Coding in Vegetable Geographical Origin Identification System}, journal ={Distributed Computing Systems Workshops, International Conference on}, volume = {0}, year = {2007}, issn = {1545-0678}, pages = {35}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICDCSW.2007.34}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Distributed Computing Systems Workshops, International Conference on TI - Effective Retrieval of High Dimensional Vector by Class Coding in Vegetable Geographical Origin Identification System SN - 1545-0678 SP EP A1 - Nobuyoshi Sato, A1 - Minoru Uehara, A1 - Koichiro Shimomura, A1 - Hirobumi Yamamoto, A1 - Kenichi Kamijo, PY - 2007 KW - null VL - 0 JA - Distributed Computing Systems Workshops, International Conference on ER -

Nobuyoshi Sato, Toyo University, Japan

Minoru Uehara, Toyo University, Japan

Koichiro Shimomura, Toyo University, Japan

Hirobumi Yamamoto, Toyo University, Japan

Kenichi Kamijo, Toyo University, Japan

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICDCSW.2007.34

We proposed a vegetable geographical origin identification system using difference of trace element composition by cultivated places to prevent camouflaging geographical origin. The system compared trace element compositions by calculating correlation coefficient. This is one-to-one comparison and makes system response time to identify slow. To solve this problem, we employed Similarity Preserve Hash (SPH) to reduce the number of target of one-to-one comparison and realized efficient identification to some degree. Although SPH makes identification itself faster, however, SPH wastes long time to retrieve trace element data for one-to-one comparison from database. In this paper, we discuss on coding of trace element composition to efficient retrieval from databases and realize efficient identification.

Citation:

Nobuyoshi Sato, Minoru Uehara, Koichiro Shimomura, Hirobumi Yamamoto, Kenichi Kamijo, "Effective Retrieval of High Dimensional Vector by Class Coding in Vegetable Geographical Origin Identification System," icdcsw, pp.35, 27th International Conference on Distributed Computing Systems Workshops (ICDCSW'07), 2007

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