A5077069037- Advanced Manufacturing and Logistics Optimization
- Manufacturing Process and Optimization
- Scheduling and Optimization Algorithms
- Service-Oriented Architecture and Web Services
- Optimization and Packing Problems
- Assembly Line Balancing Optimization
- Engineering Applied Research
- Technology and Data Analysis
- Industrial Vision Systems and Defect Detection
- Fatigue and fracture mechanics
- Mechanical Failure Analysis and Simulation
- BIM and Construction Integration
- Sentiment Analysis and Opinion Mining
- Urban and Freight Transport Logistics
- Recommender Systems and Techniques
- Semantic Web and Ontologies
- Music and Audio Processing
- Flexible and Reconfigurable Manufacturing Systems
- Natural Language Processing Techniques
- Phonocardiography and Auscultation Techniques
- Silicon Nanostructures and Photoluminescence
- RFID technology advancements
- Fault Detection and Control Systems
- Peer-to-Peer Network Technologies
- Silicon and Solar Cell Technologies
Korea University
2012-2024
Seoul St. Mary's Hospital
2022
Catholic University of Korea
2022
Kyungpook National University
2015-2021
Daegu University
2015
Korea Air Force Academy
2012-2014
Chonnam National University
2009
Texas A&M University
1992-1993
Twitter is a popular microblogging service that used to read and write millions of short messages on any topic within 140‐character limit. Popular or influential users tweet their status are retweeted, mentioned, replied by audience. Sentiment analysis the tweets audience reveals whether favorable users. We analyzed over 3,000,000 mentioning replying 13 most determine sentiment. reflect landscape sentiment toward its technique as valid popularity indicator measure. First, we distinguished...
This paper proposes a method that enables self-recognition of mobile vehicle's current position by utilizing ultrahigh frequency (UHF) passive radio-frequency identification (RFID) tags. The proposed can be used in real industry environments such as complex storage warehouses where many different goods are dispersed throughout wide area. In particular, the makes use two UHF RFID readers with identical emission configuration attached to vehicle identify reference tag. By received signal...
This paper presents a smart artificial neural network (ANN)-based slip-trip classification method, which integrates sensor and an ANN. It was trained to identify the slip trip events that occur while worker walks in workplace. encourages preventive collective actions reduce construction accidents by identifying type of near miss, i.e., or trip, exact time it occurs. The variation energy released is measured using triaxial accelerometer embedded phone. study value researchers because method...
Human hair segmentation is essential for face recognition and achieving natural transformation of style transfer. However, it remains a challenging task due to the diverse appearances complex patterns in image. In this study, we propose novel method utilizing diffusion-based generative models, which have been extensively researched recent times, effectively capture finely segment human hair. an internal visual representation during denoising process contains pixel-level rich information....
As the number of deaths from respiratory diseases due to COVID-19 and infectious increases, early diagnosis is necessary. In general, based on imaging devices (e.g., computed tomography magnetic resonance imaging) as well patient's underlying disease information. However, these examinations are time-consuming, incur considerable costs, in a situation like ongoing pandemic, face-to-face difficult conduct. Therefore, we propose lung classification model deep learning using non-contact...
최근 인터넷과 모바일 환경을 기반으로 금융과 IT가 융합된 핀테크(Fintech) 산업이 급속히 성장하고 있으며 간편성, 편리성 등으로 무장한 핀테크 서비스는 모든 금융서비스의 온라인 화를 주도하고 있다. 그러나 산업의 급격한 성장에도 불구하고, 기술에 대한 세부기술 분류와 주요 시장국의 기술개발 동향을 분석하고 기술기획을 지원하기 위한 연구는 매우 미흡한 실정이다. 이에 본 기술의 비정형 데이터 형태의 특허 데이터를 이용하여 토픽모델링 기법을 통해, 세부 기술을 추출하고 정의한다. 도출된 대해 Hot&Cold topic 을 파악하여 트렌드를 파악한다. 또한 시장국인 미국, 한국, 중국의 각각 분석한다. 마지막으로 기술 간 네트워크 분석을 통해 간의 연계 관계를 살펴본다. 연구를 파악된 산업 동향은 산업분야의 정책 수립과 관련 기업의 전략 수립에 효과적으로 활용될 수 있을 것으로 기대된다. Recently, based on Internet and mobile...
This paper presents a new calculating methodology for estimating the quantitative monetary managerial effects as result of total productive maintenance (TPM) activities. The suggested is to calculate saving amount composed contribution profit and costs that are obtained by improving overall equipment efficiency (OEE) processing type equipment. effect saved in keeping OEE at 1 percent upraised condition during given period can be calculated sum additive manufacturing cost. proposed...
A three-phase network-flow-based procedure is developed for minimizing intercellular part moves in machine-part grouping problems. The unique feature of this methodology its consideration several variations related to the number cells, machines each cell, and family size. first phase computes a functional relationship between on basis either matrix or actual operation sequences parts being considered. final purpose network modeling problem. second partitions according mutually exclusive sets...
본 연구는 저지방/저염 돈육 모델 소시지 제조에 있어서 transglutaminase(TG, 1.0%)와 sodium caseinate(SC, 0.5%)의 첨가와 0.3%의 도토리 또는 녹두 가루의 첨가가 가열 처리한 최종 제품의 이화학적 및 조직학적 특성에 미치는 효과를 평가하기 위한 목적으로 실시하였다. 제조된 소시지는 TG와 SC 첨가에 의해 pH가 높아지고, 수분 함량 명도가 낮아졌다. 한편, 소시지의 보수성과 조직감 측정결과에서는 유리수분량에 영향을 주지 않은 반면에, 제품 수율은 감소되었으며, 모든 조직감은 증진되었다. 가루 의한 보수성 조직감의 변화는 도토리나 첨가 모두 수율을 상승시켰으며, 또한 증진시켰다. 특히 첨가는 첨가보다 더 높은 나타냈다. 씹힘성의 증진을 제외한 다른 조직 감에는 않았다. 이러한 결과를 종합해 볼 때, SC의 향상에 매우 효과적인 반면에 보수성의 저하를 보완하는데 긍정적인 보였다. Low-fat pork sausages (LFPS)...
A knowledge-based inspection planning system is presented that can generate effective and consistent plans automatically. The integrates part geometry information, tolerance information heuristic knowledge of experienced planners to determine the numbers positions measurement points. receives from users stores it in common database with 3D CAD geometry. set fuzzy rules membership functions automatically extracted historic learning data using a hybrid neuro-fuzzy method. After are generated...