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
Link To Document :
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