• DocumentCode
    1795409
  • Title

    Modelling for SAW sensors

  • Author

    Jinn-Tsong Tsai ; Kai-Yu Chiu ; Der-Ho Wu ; Jyh-Horng Chou

  • Author_Institution
    Dept. of Comput. Sci., Nat. Pingtung Univ. of Educ., Pingtung, Taiwan
  • fYear
    2014
  • fDate
    11-13 July 2014
  • Firstpage
    74
  • Lastpage
    75
  • Abstract
    A model is presented to predict the resonant frequency shift performance of surface acoustic wave (SAW) gas sensors. The results predicted by the proposed model have shown that the proposed model is accurate and effective.
  • Keywords
    gas sensors; surface acoustic wave sensors; SAW gas sensor; resonant frequency shift performance; surface acoustic wave gas sensor; Sensors; Surface acoustic waves; genetic learning algorithm; surface acoustic wave sensors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    System Science and Engineering (ICSSE), 2014 IEEE International Conference on
  • Conference_Location
    Shanghai
  • Type

    conf

  • DOI
    10.1109/ICSSE.2014.6887908
  • Filename
    6887908
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1795409