• DocumentCode
    3325699
  • Title

    The intelligent control of ITO bar´s resistance for touch panel

  • Author

    Yu-Ju Chen ; Chih-Yung Chen ; Chi-Yen Shen ; Chuo-Yean Chang ; Chun-Yi Wu ; Rey-Chue Hwang

  • Author_Institution
    Inf. Manage. Dept., Cheng-Shiu Univ., Kaohsiung, Taiwan
  • fYear
    2013
  • fDate
    23-24 Dec. 2013
  • Firstpage
    716
  • Lastpage
    719
  • Abstract
    The paper presents an intelligent control mechanism for the ITO bar´s resistance of touch panel (TP). The artificial neural network is used to catch the complex relationship between bar´s resistance and its relevant manufacturing parameters during the printing and etching processes. An effective and accurate manufacturing mechanism of ITO bar is expected to be developed. This mechanism can be taken as a tool which is able to help the engineer to precisely control the manufacturing process of ITO bar such that the ideal touch panel with desired film thickness and resistance can be produced. Not only the rate of excellent product could be greatly improved, but also the business cost could be effectively saved.
  • Keywords
    flat panel displays; neural nets; thin film devices; touch sensitive screens; ITO bar resistance; TP; artificial neural network; business cost; film resistance; film thickness; intelligent control mechanism; manufacturing parameters; touch panel; Artificial neural networks; Etching; Films; Indium tin oxide; Printing; Resistance; ITO bar; intelligent; resistance; touch panel;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Instrumentation and Measurement, Sensor Network and Automation (IMSNA), 2013 2nd International Symposium on
  • Conference_Location
    Toronto, ON
  • Type

    conf

  • DOI
    10.1109/IMSNA.2013.6743376
  • Filename
    6743376