• DocumentCode
    3052348
  • Title

    An Algorithm of Feeble Gas Signal Recognition for Bioenergy Detection Using Wireless Sensor Network

  • Author

    Xia, Donghai ; Wang, Shu ; Zhu, Ming ; Tang, Hui

  • Author_Institution
    Dept. of Electron. & Inf., Huazhong Univ. of Sci. & Technol., Wuhan
  • fYear
    2007
  • fDate
    6-8 July 2007
  • Firstpage
    1222
  • Lastpage
    1225
  • Abstract
    For realizing the rules of microorganisms living behavior and detecting the distribution of its bioenergy, the method research of recognizing feeble biology signal using wireless sensor network for signal detection is discussed in the paper. An algorithm of feeble signal recognition for the gas releasing from organisms is presented, which is based on rough set mathematically. In the algorithm computation, the fractal characteristics of signal space are acquired from disorder signal space constructed by feeble gas sampling signals. And then the simulation of algorithm is given in order to show the proposed approach having fine robustness and accuracy for recognizing feeble biology signal applied in the area of biology information.
  • Keywords
    biochemistry; bioenergy conversion; gas sensors; microorganisms; rough set theory; signal detection; signal sampling; wireless sensor networks; bioenergy detection; biology information; biology signal; fractal characteristics; gas sampling signals; gas signal recognition; microorganisms; signal space; wireless sensor network; Biological system modeling; Biology computing; Computational biology; Computational modeling; Fractals; Microorganisms; Organisms; Sampling methods; Signal detection; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics and Biomedical Engineering, 2007. ICBBE 2007. The 1st International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    1-4244-1120-3
  • Type

    conf

  • DOI
    10.1109/ICBBE.2007.315
  • Filename
    4272799