참고문헌 (13)

1. Du, H., Klamecki, B. E.. Force Sensors Embedded in Surfaces for Manufacturing and Other Tribological Process Monitoring. Journal of manufacturing science and engineering, vol.121, no.4, 739-748.

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2. Cheng, Xudong, Li, Xiaochun. Investigation of heat generation in ultrasonic metal welding using micro sensor arrays. Journal of micromechanics and microengineering.: structures, devices, and systems, vol.17, no.2, 273-282.

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3. Son, J. H., Ko, J. M. and Kim, C. O., 2009, Feature Based Decision Tree Model for Fault Detection and Classification of Semiconductor Process, IE Interfaces, Vol. 22, No. 2, pp. 126~134. 

4. Chien-Chih Wang, Jiang, Bernard C., Jing-You Lin, Chien-Cheng Chu. Machine Vision-Based Defect Detection in IC Images Using the Partial Information Correlation Coefficient. IEEE transactions on semiconductor manufacturing : a publication of the IEEE Components, Hybrids, and Manufacturing Technology Society, the IEEE Electron Devices Society, the IEEE Reliability Society,, vol.26, no.3, 378-384.

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5. Kim, Kisoo, Park, June. Vision Sensor Technology Trends for Industrial Inspection System. 한국정밀공학회지 = Journal of the Korean Society for Precision Engineering, vol.38, no.12, 897-904.

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6. 고진석, 임재열. 머신비전을 이용한 저널 베어링 표면 검사. 한국정밀공학회지 = Journal of the Korean Society for Precision Engineering, vol.34, no.8, 557-561.

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7. Lee, N. Y., Cho, H. H. and Ceong, H. T., 2020, Development of Image Defect Detection Model Using Machine Learning, The Journal of the Korea Institute of Electronic Communication Sciences, Vol. 15, No. 3, pp. 513~520. 

8. 이창원, 정휘권, 박규해. 카메라 이미지 처리를 통한 프레스 패널의 크랙결함 검출. 비파괴검사학회지 = Journal of the Korean Society for Nondestructive Testing, vol.36, no.6, 451-459.

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9. Seo, T. M., Kang, M. G. and Kang, D. J., 2020, Anomaly Detection of Generative Adversarial Networks Considering Quality and Distortion of Images, The Journal of the Institute of Internet, Broadcasting and Communication, Vol. 20, No. 3, pp. 171~179. 

10. Han, Dae-Hyun, Kang, Lae-Hyong. GUI Development for Automatic Defect Visualization and Size Estimation Using Image Analysis Processing. 大韓機械學會論文集. Transactions of the Korean Society of Mechanical Engineers. A. A, vol.42, no.10, 931-938.

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11. Kwag, Jae-Hyuk, Kook, Hyung-Seok, Kim, Heung-Kyu, Choi, Hyun-Cheol, Yang, Woo-Ho. Feasibility Study on Neck Defect Inspection Technique for Press-formed Products by Using Structural Vibration Measurement. 한국소음진동공학회논문집 = Transactions of the Korean society for noise and vibration engineering, vol.28, no.6, 721-727.

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12. Kim, Minjae, Shin, Jong-Ho. A Development of Vision-based Defect Detection Methodology Using Transfer Learning of Convolutional Neural Network. 한국CDE학회논문집 = Korean Journal of Computational Design and Engineering, vol.25, no.3, 246-255.

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13. Lee, H. J., 2022, Deep Learning-based Product Classification and Anomaly Detection, M.S. Thesis, Kumoh National Institute of Technology.