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검색결과 : 28
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한글제목 :
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[특허등록]LSTM을 이용한 농산물 가격 및 판매량 예측 방법
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영문제목 :
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[특허등록]LSTM을 이용한 농산물 가격 및 판매량 예측 방법
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저널정보 :
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특허청
2020
년
1
권
1
호
1
~
1
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논문구분 :
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국내기타논문집
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메인저자 :
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류가애
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서브저자 :
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나형철, 유도일, 나스리디노프 아지즈, 류관희
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키워드 :
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농산물, LSTM, 예측
농산물, LSTM, 예측
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사사 :
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PJ012838012018, 1711070411
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한글제목 :
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SYSTEM ARCHITECTURE FOR SUPPORTING MULTIPLE LIVE ACTORS IN WEB3D VIRTUAL CONFERE...
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영문제목 :
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SYSTEM ARCHITECTURE FOR SUPPORTING MULTIPLE LIVE ACTORS IN WEB3D VIRTUAL CONFERE...
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저널정보 :
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Web3D2020
2020
년
1
권
1
호
1
~
4
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논문구분 :
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국외전문학술지
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메인저자 :
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Tin Hok
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서브저자 :
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Chan Park, Kwan-Hee Yoo
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키워드 :
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Multiple live actors, live actor and entity (LAE), DeepLab, WebRTC, ThreeJS, Web3D, mixed augmented reality (MAR), head-mounted display (HMD)
Multiple live actors, live actor and entity (LAE), DeepLab, WebRTC, ThreeJS, Web3D, mixed augmented reality (MAR), head-mounted display (HMD)
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사사 :
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This research is based upon work supported by the Ministry of Trade, Industry & Energy (MOTIE, Korea) and Korea Evaluation Institute of Industrial Technology (KEIT)(No.10085589), and by the MSIP(Ministry of Science, ICT and Future Planning), Korea, under the ITRC(Information Technology Research Center) support program (IITP2018-2015-0-00448) supervised by the IITP(Institute for Information & communications Technology Promotion).
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한글제목 :
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Web-based Interactive System for Live Actors in MAR
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영문제목 :
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Web-based Interactive System for Live Actors in MAR
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저널정보 :
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Web3D2020
2020
년
1
권
1
호
1
~
2
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논문구분 :
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국외학술대회발표논문집
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메인저자 :
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Tin Hok
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서브저자 :
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Aziz Nasridinov, Kwan-Hee Yoo
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키워드 :
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Interactive object model, Live actor and entity (LAE), Mixed augmented reality (MAR), ThreeJS, WebXR
Interactive object model, Live actor and entity (LAE), Mixed augmented reality (MAR), ThreeJS, WebXR
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사사 :
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This research is based upon work supported by the Ministry of Trade, Industry & Energy (MOTIE, Korea) and Korea Evaluation Institute of Industrial Technology (KEIT)(No.10085589), and by the MSIP(Ministry of Science, ICT and Future Planning), Korea, under the ITRC(Information Technology Research Center) support program (IITP2018-2015-0-00448) supervised by the IITP(Institute for Information & communications Technology Promotion).
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한글제목 :
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[Best Paper]Key factors for reducing motion sickness in 360°virtual reality sce...
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영문제목 :
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[Best Paper]Key factors for reducing motion sickness in 360°virtual reality sce...
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저널정보 :
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Web3D2020
2020
년
1
권
1
호
1
~
2
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논문구분 :
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국외학술대회발표논문집
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메인저자 :
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Gae Ae Ryu
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서브저자 :
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Kwan-Hee Yoo
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키워드 :
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360°virtual scene, motion sickness, mixed and augmented reality (MAR), Web 3D
360°virtual scene, motion sickness, mixed and augmented reality (MAR), Web 3D
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사사 :
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한글제목 :
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[특허등록]LSTM을 이용한 전기로에서의 전극봉 위치 데이터 예측 방법
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영문제목 :
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[특허등록]LSTM을 이용한 전기로에서의 전극봉 위치 데이터 예측 방법
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저널정보 :
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특허청
2020
년
1
권
1
호
1
~
1
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논문구분 :
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국내기타논문집
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메인저자 :
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류가애
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서브저자 :
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류관희
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키워드 :
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딥러닝, 비철금속
딥러닝, 비철금속
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사사 :
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홀로그램융합기술연구개발, 비철금속 생산공정 효율과 품질의 최적화를 위한 빅데이터 기반 인텔리전트 조업시스템 개발
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한글제목 :
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Product Quality Prediction by Multivariate Timeseries Anomaly Detection
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영문제목 :
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Product Quality Prediction by Multivariate Timeseries Anomaly Detection
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저널정보 :
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BIGDAS2020
2020
년
8
권
1
호
63
~
66
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논문구분 :
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국외전문학술지
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메인저자 :
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Manas Bazarbaev
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서브저자 :
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Hyoseok Oh , Aziz Nasridinov , Kwan-Hee Yoo
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키워드 :
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Anomaly detection, Machine learning, Sensors data, Product quality.
Anomaly detection, Machine learning, Sensors data, Product quality.
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사사 :
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The work is supported by the Ministry of Trade, Industry & Energy (MOTIE, Korea) under i-Ceramic manufacturing innovation platform technology development business. No.2004367, Development of cloud big data platform for the innovative manufacturing in ceramic industry and by the MSIT(Ministry of Science and ICT), Korea, under the Grand Information Technology Research Center support program(IITP-2020-0-01462) supervised by the IITP(Institute for Information & communications Technology Planning & Evaluation)”
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한글제목 :
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Point-Based Rectangle Clustering with DBSCAN
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영문제목 :
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Point-Based Rectangle Clustering with DBSCAN
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저널정보 :
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BIGDAS2020
2020
년
8
권
1
호
53
~
54
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논문구분 :
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국외학술대회발표논문집
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메인저자 :
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Tin Hok
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서브저자 :
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Dimang Chhol, Kwan-Hee Yoo
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키워드 :
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Point-based rectangle clustering, Representative points of rectangles, DBSCAN
Point-based rectangle clustering, Representative points of rectangles, DBSCAN
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사사 :
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This research was supported by the MSIT(Ministry of Science and ICT), Korea, under the Grand Information Technology Research Center support program(IITP-2020- 1711120023) supervised by the IITP(Institute for Information & communications Technology Planning & Evaluation) and this research was supported by the ITRC(Information Technology Research Center) support program (IITP2020-2015-0- 00448) supervised by the IITP (Institute for Information and Communications Technology Planning & Evaluation), grant funded by the Korea government.
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한글제목 :
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Image Classification on Agriculture Using Transfer Learning
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영문제목 :
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Image Classification on Agriculture Using Transfer Learning
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저널정보 :
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BIGDAS2020
2020
년
8
권
1
호
48
~
52
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논문구분 :
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국외학술대회발표논문집
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메인저자 :
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Borin Min
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서브저자 :
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Hyoseok Oh , Ga-Ae Ryu , Sang Hyun Choi, Carson Kai-Sang Leung , Kwan-Hee Yoo
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키워드 :
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Image Analysis, Computer Vision, Transfer Learning Method
Image Analysis, Computer Vision, Transfer Learning Method
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사사 :
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This research was supported by the Bigdata Platform and Center Establish Program(communication)(2020-데이터-위 07) supervised by the NIA(National Information Society Agency), Republic of Korea. This research was supported by the MSIT(Ministry of Science and ICT), Korea, under the Grand Information Technology Research Center support program(IITP-2020-0-01462) supervised by the IITP(Institute for Information & communications Technology Planning & Evaluation). This research was supported by the ITRC(Information Technology Research Center) support program (IITP2020-2015-0-00448) supervised by the IITP (Institute for Information and Communications Technology Planning & Evaluation), grant funded by the Korea government.
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한글제목 :
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Application of to prediction Time Series Data based on Event-Based LSTM
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영문제목 :
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Application of to prediction Time Series Data based on Event-Based LSTM
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저널정보 :
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BIGDAS2020
2020
년
8
권
1
호
14
~
16
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논문구분 :
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국외학술대회발표논문집
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메인저자 :
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Ga-Ae Ryu
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서브저자 :
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HyungChul Rah , Aziz Nasridinov , Kwan-Hee Yoo
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키워드 :
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Agricultural, Time series data, Deep Learning, LSTM, Prediction
Agricultural, Time series data, Deep Learning, LSTM, Prediction
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사사 :
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This work was carried out with the support of "Cooperative Research Program for Agriculture Science and Technology Development (Project No. PJ015341012020)" Rural Development Administration, Republic of Korea.
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한글제목 :
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Application of Optimal Process Prediction Method for Non-ferrous Metal Operatio...
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영문제목 :
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Application of Optimal Process Prediction Method for Non-ferrous Metal Operatio...
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저널정보 :
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BIGDAS2020
2020
년
8
권
1
호
60
~
62
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논문구분 :
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국외학술대회발표논문집
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메인저자 :
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Ga-Ae Ryu
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서브저자 :
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Hyoseok Oh , Kwan-Hee Yoo
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키워드 :
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,Non-ferrous metal, Golden Recipe, Smart Factory, Deep Learning, Prediction.
,Non-ferrous metal, Golden Recipe, Smart Factory, Deep Learning, Prediction.
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사사 :
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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.
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