• DocumentCode
    2737225
  • Title

    The Identification of Ammonia Concentration by QNN

  • Author

    Shen, Chi-Yen ; Yang, Jen-Pin ; Hwang, Rey-Chue ; Wang, De-Lu

  • Author_Institution
    I- Shou Univ., Kaohsiung
  • fYear
    2007
  • fDate
    5-7 Sept. 2007
  • Firstpage
    272
  • Lastpage
    272
  • Abstract
    In this paper, the humidity interference on the ammonia sensors was studied and proposed. The shear horizontal surface acoustic wave (SH-SAW) devices coated with L-glutamic acid hydrochloride were applied as ammonia sensors. The responses to ammonia in the humid environment were positive frequency shifts and the perturbation was primarily from the elastic effect. In order to precisely estimate the ammonia in humid air, the quantum neural network (QNN) is used as the identifier and its identification results are reported.
  • Keywords
    ammonia; chemical sensors; computerised instrumentation; elasticity; humidity; quantum computing; surface acoustic wave devices; L-glutamic acid hydrochloride; ammonia concentration identification; ammonia sensors; elastic effect; humidity interference; quantum neural network; shear horizontal surface acoustic wave devices; Acoustic sensors; Biomedical equipment; Blood; Chemical industry; Humans; Humidity; Interference; Medical services; Neural networks; Temperature sensors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovative Computing, Information and Control, 2007. ICICIC '07. Second International Conference on
  • Conference_Location
    Kumamoto
  • Print_ISBN
    0-7695-2882-1
  • Type

    conf

  • DOI
    10.1109/ICICIC.2007.574
  • Filename
    4427917