• DocumentCode
    3196632
  • Title

    The development of a flies species recognition system

  • Author

    Halim, Shamimi A. ; Abdul Hamid, Nurzeatul Hamimah ; Yusoff, Nursyafinaz Md ; Ali, Azliza Mohd ; Osman, Rozianawaty ; Ahmad, Rashidi

  • Author_Institution
    Fac. of Comput. & Math. Sci., Univ. Teknol. MARA, Shah Alam, Malaysia
  • Volume
    1
  • fYear
    2012
  • fDate
    3-5 Aug. 2012
  • Firstpage
    503
  • Lastpage
    507
  • Abstract
    Automation has become a good reason to various activities that involve a repetition, high labour cost and shortage of skilful person. When automation offers accuracy, faster and replicable, a routine recognition process which will distract the workforce can be reduced. We developed an automated flies species recognition system using hybrid Artificial Intelligent technique specifically for Maggot Debridement Therapy. Currently, the process of recognition was done manually by referring to the taxonomy or DNA traits. By using such system, the use of incorrect maggot can be avoided since it would consume a live tissue instead of dead tissue. This paper focus on a research methodology description which consists of empirical study, architecture design and development of flies species recognition system.
  • Keywords
    DNA; artificial intelligence; biological tissues; biology computing; DNA traits; architecture design; dead tissue; empirical study; flies species recognition system; hybrid artificial intelligent technique; live tissue; maggot debridement therapy; taxonomy; Automation; Biomedical imaging; Engines; Image recognition; Testing; Training; Back Propagation Neural Network; Expert System; Flies recognition; Maggot Debridement Therapy; Neuro-Expert;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology in Medicine and Education (ITME), 2012 International Symposium on
  • Conference_Location
    Hokodate, Hokkaido
  • Print_ISBN
    978-1-4673-2109-9
  • Type

    conf

  • DOI
    10.1109/ITiME.2012.6291352
  • Filename
    6291352