• DocumentCode
    3361305
  • Title

    A new Gas Recognition Technique using On Chip Sensor Array Measurements

  • Author

    Flitti, F. ; Guo, B. ; Far, A. ; Bermak, A.

  • Author_Institution
    Hong Kong Univ. of Sci. & Technol., Kowloon
  • fYear
    2007
  • fDate
    11-14 Dec. 2007
  • Firstpage
    50
  • Lastpage
    53
  • Abstract
    This paper deals with gas recognition which has many applications in various domestic and industry tasks. We propose a new low complexity recognition method based on the measurement issued from an on chip 4 x 4 gas sensor array. The recognition system is based on a vector angle similarity measure between the query gas and the representatives of the different gas classes. The latter are obtained using a clustering algorithm based on the same measure within the training data set. Experimented results show more than 98% of good recognition.
  • Keywords
    gas sensors; clustering algorithm; gas recognition technique; on chip gas sensor array; vector angle similarity measure; Biosensors; Clustering algorithms; Food industry; Gas detectors; Gas industry; Gases; Goniometers; Semiconductor device measurement; Sensor arrays; Sensor phenomena and characterization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronics, Circuits and Systems, 2007. ICECS 2007. 14th IEEE International Conference on
  • Conference_Location
    Marrakech
  • Print_ISBN
    978-1-4244-1377-5
  • Electronic_ISBN
    978-1-4244-1378-2
  • Type

    conf

  • DOI
    10.1109/ICECS.2007.4510928
  • Filename
    4510928