DocumentCode
3122678
Title
Effective Retrieval of High Dimensional Vector by Class Coding in Vegetable Geographical Origin Identification System
Author
Sato, Nobuyoshi ; Uehara, Minoru ; Shimomura, Koichiro ; Yamamoto, Hirobumi ; Kamijo, Kenichi
Author_Institution
Toyo Univ., Toyo
fYear
2007
fDate
22-29 June 2007
Firstpage
35
Lastpage
35
Abstract
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. Adlthough 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.
Keywords
agricultural products; database management systems; information retrieval; class coding; database retrieval; high dimensional vector retrieval; similarity preserve hash; trace element composition; vegetable geographical origin identification system; Chemical elements; Data mining; Databases; Delay; Employment; Encoding; Information retrieval; Packaging; Scalability; Soil;
fLanguage
English
Publisher
ieee
Conference_Titel
Distributed Computing Systems Workshops, 2007. ICDCSW '07. 27th International Conference on
Conference_Location
Toronto, Ont.
ISSN
1545-0678
Print_ISBN
0-7695-2838-4
Electronic_ISBN
1545-0678
Type
conf
DOI
10.1109/ICDCSW.2007.34
Filename
4279033
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