• 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