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김영화(Yeonghwa Kim),최주원(Jooweon Choi),윤정민(Jungmin Yun),진교훈(Kyohoon Jin),김영빈(Youngbin Kim) 대한전자공학회 2023 대한전자공학회 학술대회 Vol.2023 No.6
As the digital landscape expands, accurate prediction of user preferences becomes crucial for enhancing consumer decision-making in the face of a growing wealth of product information and user data. Traditional recommendation systems relying solely on quantitative data, such as ratings, fall short of capturing the nuances of user preferences and temporal changes in product features. To address these limitations, we propose a novel timeaware rating prediction system that seamlessly integrates temporal information from usergenerated reviews with users evolving preferences. Our approach enhances the existing graph-based recommendation models by incorporating time-sensitive factors, including review order and time intervals, which allow for capturing short-term variability in user preferences. This innovation results in a more customized recommendation system tailored to users’ dynamically changing interests. Extensive experiments on real-world datasets demonstrate that our proposed model significantly outperforms existing methods solely relying on textual information from reviews, showcasing the importance of integrating time-aware information in predicting user preferences.
작업 강도가 방진 마스크의 밀착도와 감성품질에 미치는 영향
이진실 ( Jinsil Lee ),조선희 ( Sunhee Cho ),윤정민 ( Jungmin Yun ),김민선 ( Min-sun Kim ),박재규 ( Jaekyu Park ),최재호 ( Jaeho Choe ) 한국품질경영학회 2018 품질경영학회지 Vol.46 No.2
Purpose: The purpose of this study is to investigate the effect of work intensity on fit factor and affective quality of the dustproof Mask Background: Among the victims who suffer pneumoconiosis due to the inhalation of toxic substances or the lack of oxygen during the work, the proportion of the victims is larger than the other causes. Wearing a respirator may prevent pneumoconiosis, but it can be hazardous to workers because of the leakage through filters, cartridges, exhaust valves, broken parts, and face-to-face contact. Despite leakage through the contact area between the mask and the face has various causes such as the wearer's activity, sweat accumulation, facial shape, etc., There is a lack of relevant research and regulation compared to developed countries that have already institutionalized the law 30 years ago and give the right to sell through a test Method: The work intensity was adjusted by walking or running at 6km/h and 11km/h on the treadmill, and tasks were defined with reference to the test procedure and the exercise sequence applied in the face leakage test of the dustproof mask. And fit factor was measured objectively using ‘Respirator Fit Tester 8038’ which measures fit factor calculated by dividing the number of dust present outside the mask by inside the mask. In addition, affective quality was classified by the ease of use, ease of breathing, and ease of wearing, and was measured using the 5-point likert scale questionnaire. Results: There was a significant difference in fit factor, ease of breathing, and wearing convenience according to work intensity and no significant difference in ease of use(α=0.01). And when the work intensity was high, fit factor, ease of breathing, and wearing convenience were all lower than when the work intensity was low. Conclusion: In Korea, it is necessary to consider consideration of the work intensity when testing the leakage rate of the face part for safety certification of the respiratory protective equipment, When developing a mask, it should be possible to maintain high adhesion even under intense, active situation and high temperature conditions by selecting materials, improving the wearing style, and expanding the adjustable range.
Bert와 K-means를 활용한 제조 서비스 연구 동향 분석
이기현(Gihyun Lee),이정년(Jungnyun Lee),김태훈(Taehoon Kim),이진명(Jinmyeong Lee),윤정민(Jungmin Yun) 대한전자공학회 2023 대한전자공학회 학술대회 Vol.2023 No.6
Manufacturing service, which provides added value to customers with products as a platform, is receiving attention. Research on manufacturing services is being conducted across various fields, but comprehensive analysis of research trends is still insufficient. This study analyzed the research trends of manufacturing and identified the major areas. A total of 7,061 related papers were collected through a Manufacturing service search on Web of Science, and were analyzed using BERT, K-means clustering, and TF-IDF. As a result of the analysis, the research fields of manufacturing service were classified into a total of 5 clusters, and cluster 0 (process control and supply chain management), 1 (cost-efficient design and quality control), 2 (product development and energy efficiency), and 4 (efficiency improvement in industrial product) increased or maintained research interest, while cluster 3 (quality control and cost management in raw material process) decreased research interest. This study identified the research trends of manufacturing service and can provide insights that can contribute to future research.