| 학회 |
한국화학공학회 |
| 학술대회 |
2013년 가을 (10/23 ~ 10/25, 대구 EXCO) |
| 권호 |
19권 2호, p.1274 |
| 발표분야 |
공정시스템 |
| 제목 |
Decision support in machine vision system for monitoring of TFT-LCD glass substrates manufacturing with data mining techniques |
| 초록 |
This work presents an industrial application of a new machine vision methodology to manufacturing of TFT-LCD glass substrates. Careful observation and interpretations of the results from the methodology enable one to automatically monitor the visual quality of the products. Especially, introducing a multi-objective function in designing a classifier makes it possible to achieve a manufacturing goal. Also this presentation provides some important issues in data mining such as handling imbalanced training data and feature selection. New methods such as SMOTE (Synthetic Minority Over-sampling Technique) and PGA (Parallel genetic Algorithm) are employed to handle these issues successfully. |
| 저자 |
유 준1, Ali Yousefian2
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| 소속 |
1부경대, 2Seoul National Univ. Department of Bioengineering |
| 키워드 |
machine vision; data mining; classification; feature selection
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| E-Mail |
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| VOD |
VOD 보기 |
| 원문파일 |
초록 보기 |
