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Journal of Emerging Trends in Computing and Information Sciences >> Call for Papers Vol. 8 No. 3, March 2017

Journal of Emerging Trends in Computing and Information Sciences

Applying Data Mining Techniques for Optimize MURA Graphic Process

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Author Wen-Hsiang Shen and Wen-Hsing Kao
ISSN 2079-8407
On Pages 10-16
Volume No. 8
Issue No. 1
Issue Date February 1, 2017
Publishing Date February 1, 2017
Keywords MURA, TFT-LCD, mask, data mining.


Abstract

The making of large area TFT-LCD mask starts from writing computer-aided design electronic circuit onto quartz blanks and then goes through developing, etching and cleaning processes for final products. MURA is a phenomenon that is caused by uneven brightness on monitors. This research focuses on the improvement of MURA issue solutions. This paper produces an integrated mask vector drawing which includes customer graphics, barcode, mask title, mask serial number, manufacturer name and manufactured date. According to this drawing, we can simulate the overlap areas of writing segments and then obtain a similar writing way of actual writers. It contributes to the shortening of MURA adjusting time during graphic processing procedure and creates an artificial intelligence module for forecasting MURA adjustment risk. By applying this particular module, one can predict the risk of MURA adjustment and prevent it from reaching high-risk graphic area so that the MURA issues can be reduced.
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