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
Link To Document :
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