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한글제목 : [특허등록]제조 공장에서의 설비 고장 분석 방법 및 이를 기록한 기록매체
영문제목 : [특허등록]제조 공장에서의 설비 고장 분석 방법 및 이를 기록한 기록매체
저널정보 : 특허청   2019 년  1 권  1 호  1  ~  1
논문구분 : 국내기타논문집
메인저자 : 장세인
서브저자 : 나스리디나프 아지즈, 류관희
키워드 : 고장분석
고장분석
사사 : 중소 제조산업의 4M(Man, Machine, Material, Method) 데이 터 통합 분석을 활용한 프리딕티브 매뉴팩춰링 시스템 개 발, 스마트공간을 위한 빅데이터기반의 스마트라이프케 어서비 스
한글제목 : [특허등록]PCB 제조 공정에서 불량 컴포넌트 위치 검출 방법 및 시스템
영문제목 : [특허등록]PCB 제조 공정에서 불량 컴포넌트 위치 검출 방법 및 시스템
저널정보 : 특허청   2019 년  1 권  1 호  1  ~  1
논문구분 : 국내기타논문집
메인저자 : 류관희
서브저자 : 최은석
키워드 : 클러스터링
클러스터링
사사 : 중소 제조산업의 4M(Man, Machine, Material, Method)데이 터 통합 분석을 활용한 프리딕티브 매뉴팩춰링 시스템 개 발, 스마트공간을 위한 빅데이터기반의 스마트라이프 케어서비 스
한글제목 : [특허등록]PCA를 이용한 제조 공정의 핵심 인자 추출 방법 및 시스템
영문제목 : [특허등록]PCA를 이용한 제조 공정의 핵심 인자 추출 방법 및 시스템
저널정보 : 특허청   2019 년  1 권  1 호  1  ~  1
논문구분 : 국내기타논문집
메인저자 : 류관희
서브저자 : 안다미
키워드 : PCA
PCA
사사 : 스마트공간을 위한 빅데이터기반의 스마트라이프 케어서비스, 중소 제조산업의 4M(Man, Machine, Material, Method)데이 터 통합 분석을 활용한 프리딕티브 매뉴팩춰링 시스템 개 발
한글제목 : A web-based 3D ontology navigation system for spinal disease diagnosis
영문제목 : A web-based 3D ontology navigation system for spinal disease diagnosis
저널정보 : The Journal of Supercomputing   2019 년  75 권  8 호  4505  ~  4518
논문구분 : 국외전문학술지, SCI
메인저자 : Ji-Seong Jeong
서브저자 : Min-Ho Song · Sang-Ho Lee · Mihye Kim · Nakhoon Baek · Kwan-Hee Yoo
키워드 : Ontology · Spinal disease ontology · Ontology navigation · Ontology visualization · Web-based 3D ontology navigation system
Ontology · Spinal disease ontology · Ontology navigation · Ontology visualization · Web-based 3D ontology navigation system
사사 : This researchwas supported by Basic Science Research Program through theNational Research Foundation of Korea (NRF) funded by the Ministry of Education (2014R1A1A2055379) and by the MSIP(Ministry of Science, ICT and Future Planning), Korea, under the ITRC(Information Technology Research Center) support program (IITP-2016-H8501-16-1013) supervised by the IITP(Institute for Information & communication Technology Promotion).
한글제목 : A Fast Algorithm for Identifying Density-Based Clustering Structures Using a Con...
영문제목 : A Fast Algorithm for Identifying Density-Based Clustering Structures Using a Con...
저널정보 : electronics   2019 년  8 권  10 호  1  ~  23
논문구분 : 국외전문학술지, SCIE
메인저자 : Jeong-Hun Kim
서브저자 : Jong-Hyeok Choi, Kwan-Hee Yoo, Woong-Kee Loh, Aziz Nasridinov
키워드 : OPTICS; density-based clustering structure; visualization; constraint graph
OPTICS; density-based clustering structure; visualization; constraint graph
사사 : This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (NRF-2017R1D1A3B03035729). This work was also supported by National Research Foundation of Korea (NRF) grant funded by the Korean government (MSIT) (No. 2018R1A2B6009188).
한글제목 : Estimation of Process Performance using Statistic Process Control, Process Capab...
영문제목 : Estimation of Process Performance using Statistic Process Control, Process Capab...
저널정보 : IEEE Smart Data (SmartData)   2019 년  1 권  1 호  1254  ~  1256
논문구분 : 국외학술대회발표논문집
메인저자 : Pheng Tola
서브저자 : Ga-Ae Ryu, Kwan-Hee Yoo, Rock-Won Kim
키워드 : Production Process Quality, PPQ, PTOD
Production Process Quality, PPQ, PTOD
사사 : This material is based upon work supported by the Ministry of Trade, Industry & Energy (MOTIE, Korea) under Industrial Technology Innovation Program, No.10082578, Development of intelligent operation system based on big data for production process efficiency and quality optimization in non-ferrous metal industry.
한글제목 : Extracting Sensing Data from PLCs in Smart Manufacturing Machines
영문제목 : Extracting Sensing Data from PLCs in Smart Manufacturing Machines
저널정보 : IEEE Smart Data (SmartData)   2019 년  1 권  1 호  1249  ~  1250
논문구분 : 국외학술대회발표논문집
메인저자 : Bunrong Leang
서브저자 : Sokchomrern Ean, Rock-Won Kim, Su-Young Chi, Kwan-Hee Yoo
키워드 : sensing data, PLC data, data gathering, data extraction, PLC address, and address mapping
sensing data, PLC data, data gathering, data extraction, PLC address, and address mapping
사사 : This work is supported by the Ministry of Trade, Industry & Energy (MOTIE, Korea) under Industrial Technology Innovation Program No.10082578 (Development of intelligent operation system based on big data for production process efficiency and quality optimization in nonferrous metal industry).
한글제목 : Process Quality Estimation using Statistical Process Features
영문제목 : Process Quality Estimation using Statistical Process Features
저널정보 : BIGDAS2019   2019 년  7 권  1 호  84  ~  87
논문구분 : 국외전문학술지
메인저자 : Pheng Tola
서브저자 : Ga-Ae Ryu, Kwan-Hee Yoo
키워드 : Process Quality, PQE, statistical process features
Process Quality, PQE, statistical process features
사사 : This material is based upon work supported by the Ministry of Trade, Industry & Energy (MOTIE, Korea) under Industrial Technology Innovation Program, No.10082578, Development of intelligent operation system based on big data for production process efficiency and quality optimization in non-ferrous metal industry.
한글제목 : Working Pattern Analysis of Nonferrous System Using Statistical Analysis
영문제목 : Working Pattern Analysis of Nonferrous System Using Statistical Analysis
저널정보 : BIGDAS2019   2019 년  7 권  1 호  422  ~  427
논문구분 : 국외학술대회발표논문집
메인저자 : Sokchomrern Ean
서브저자 : Je-Seog Myeong, Kwan-Hee Yoo
키워드 : Working Pattern Analysis, Nonferrous System, Statistical Analysis
Working Pattern Analysis, Nonferrous System, Statistical Analysis
사사 : This research was supported by the Ministry of Trade, Industry & Energy (MOTIE, Korea) under Industrial Technology Innovation Program, No.10082578, Development of intelligent operation system based on big data for production process efficiency and quality optimization in non-ferrous metal industry.
한글제목 : Visualization of Association Analysis Results in Smart Management Systems
영문제목 : Visualization of Association Analysis Results in Smart Management Systems
저널정보 : BIGDAS2019   2019 년  7 권  1 호  279  ~  282
논문구분 : 국외전문학술지
메인저자 : Je-Seog Myeong
서브저자 : Sokchomrern Ean, Kwan-Hee Yoo
키워드 : Visualization, Association Rule, Sankey, Network Diagram
Visualization, Association Rule, Sankey, Network Diagram
사사 : This research was supported by the Ministry of Trade, Industry & Energy (MOTIE, Korea) under Industrial Technology Innovation Program, No.10082578, Development of intelligent operation system based on big data for production process efficiency and quality optimization in non-ferrous metal industry.
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