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정밀 밀링가공시 딥러닝 기법을 이용한 절삭공구 적정성 연구
배용환(Yonghwan Bae),김호찬(Hochan Kim) 한국기계가공학회 2022 한국기계가공학회지 Vol.21 No.11
Recently, the applicability of artificial intelligence, one of the core technologies of the 4th Industrial Revolution, has gradually in the manufacturing sector. The cutting tools used in the milling process require careful inspections to prevent unsuspected interruptions in the manufacturing process. In this study, deep learning image processing technology was used to determine the cutting tool adequacy for the T-groove dovetail assembly milling process. Here, adequacy refers to checking for tool breakage and an appropriate set-up length. This approach involves the application of deep learning techniques on tool images acquired during the cutting process. For this purpose, YOLO, a fast image-processing object-detection technique, was used. Through the images acquired during the working process, the type of cutting tool, tool breakage, and appropriateness of the setup length could be determined.
Comparing Nanotechnology Web Portal Requirements Using a Kano Method
Bae, Seounghun,Kim, Junhyun,Kim, JaeSin,Kim, Myung Shin,Ju, Yonghwan,Seo, Seung Hyun,Han, In-Kyu,Choi, Younghoon Korea Institute of Science and Technology Informat 2017 Journal of Information Science Theory and Practice Vol.5 No.2
We compared nanotechnology web portal requirements using a Kano method, to identify similarities and dissimilarities in Kano-categorizations of features and functions required of nanotechnology among users in universities, government research institutes, and industry. Based upon data obtained from 130 user members of the National Nanotechnology Policy Centre, this study analyzed assessed asymmetries in web users' feelings based on hypothesized provision and non-provision of web portal requirements. In doing this, this study utilized measures and procedures suggested in the literature such as the most frequent-response categorization, customer satisfaction (dissatisfaction) coefficient, category strength and total strength, and Fong test. This study found that overall, sectors were an important factor in explaining the relationships between web portal requirements and user satisfaction/expectations. When these requirements were classified, users' perceptions of information contents requirements were consistent across the sectors, but the other functional requirements including communication and collaborations considerably varied.