ScholarWorks@Gyeongsang National University: Lee, Jae Chul

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Lee, Jae Chul (이재철)

해양과학대학 (조선해양공학과)

Research Area

Tel 0557729195
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Deep learning:4||vibration data:2||SSIM:2||denoising auto encoder:2||Object detection:2||Monitoring system:2||FPS:2||Bearing failure(베어링 고장):1||Block:1||Block Assembly:1||Bottleneck:1||Bypass line:1||CYCLONE Simulation:1||Catalyst:1||Classification(계열화):1||Computer Vision:1||Computer vision:1||Condition monitoring:1||Data filtering:1||Data generator(데이터생성기):1||Data measurement unit(데이터 계측부):1||Data preprocessing:1||Database:1||Decision making assistance system:1||Deep Learning:1||Denoising Auto Encoder:1||Derrick structure:1||Diagnostic Failure Rate:1||Economic analysis:1||Electric motor(전기 모터):1||Electric propulsion ship:1||Electric propulsion ship(전기추진선박):1||Electric propulsion vessel(전기추진선박):1||Environmental load (force):1||Equipment performance evaluation:1||Face Recognition:1||Face recognition:1||Fault diagnosis:1||Feature Extraction:1||Filtering methods:1||Fine tuning:1||Floating LNG power plant:1||Flow uniformity:1||Freezer of a fishing vessel:1||Genetic programming:1||Hydrodynamic design:1||Idle time:1||Keypoint extraction:1||Long term evolution(엘티이):1||Low light improvement:1||Machine learning:1||Maintenance methods:1||Marine accident:1||Marine environment:1||Marine systems:1||Maximum stress:1||Misalignment(축정렬 불량):1||Modeling:1||Monitoring:1||Monitoring at a long distance(원거리 모니터링):1||Motion:1||Motion characteristic:1||Multiobjective optimal design framework:1||Neural network:1||NeuroResponse Surface Method (NRSM):1||Noise Reduction:1||Nondestructive testing:1||Nondominated Sorting Genetic AlgorithmII (NSGAII):1||Ocean:1||Offshore plant:1||Offshore platform:1||Onboard system:1||OneClass Support Vector Machine:1||Open rack vaporizer(해수식 기화기):1||Operation state(운영 상태):1||Optimization:1||Overturning accident:1||PAUT probe:1||PID control:1||PLC:1||Patrol robot:1||Performance prediction:1||Phased array ultrasonic testing:1||Piping design:1||Porous media:1||Power consumption:1||Predicting residual life:1||Process Mining:1||Production automation:1||Productivity analysis:1||Prognostics Health Management (PHM):1||Prognostics and Health Management (PHM):1||Real time monitoring system(실시간 모니터링 시스템):1||Realtime:1||Realtime CCTV control:1||Realtime detection:1||Recurrent neural network:1||Riskbased maintenance:1||SILS:1||Safety:1||Safety Management:1||Safety protection:1||Segmentation:1||Selective catalytic reduction:1||Sensitivity analysis:1||Ship:1||Shipyard:1||Small data:1||Standardization:1||Submarine:1||Submarine mast:1||Submarine pressure hull:1||System reliability:1||Tag:1||Time series data:1||Transportation state:1||Transporter:1||Unbalance(불평형):1||Verification:1||Vibration data:1||Vibration data(진동 데이터):1||Vibration failure(진동 고장):1||Visual SLAM:1||Wave energy converter:1||Waveactivating body:1||Wavelet Transform:1||Wireless positioning:1||Wireless sensor networks:1||deep learning:1||eZigbee:1||failure diagnosis:1||model optimization:1||oneclass support vector machine:1||process mining:1||production process:1||productivity improvement:1||prognostics and health management:1||quality inspection system:1||shipbuilding industry:1||vision transformer:1||wavelet transform:1||건전성 예측 및 관리기술:1||경제성 분석:1||고장 예측:1||근사모델:1||기계학습:1||노이즈 제거:1||다공질재료:1||단일 클래스 서포트 벡터 머신:1||데이터 필터링:1||데이터베이스:1||디노이징 오토인코더:1||딥러닝:1||모니터링:1||무선 센서네트워크:1||무선 측위:1||미세 조정:1||병목현상:1||블록조립:1||사이클론 시뮬레이션:1||상태 모니터링 시스템:1||생산성 분석:1||생산자동화:1||선박:1||성능예측:1||순찰 로봇:1||순환신경망:1||시각적 동시적 위치추정 및 지도 생성:1||시계열 데이터:1||실시간:1||실시간 CCTV 관제:1||액세스 포인트:1||어선용 냉각기:1||온보드 시스템:1||우회경로:1||웨이블릿 변환:1||유동균일도:1||유휴시간:1||이지그비:1||잔여수명 예측:1||장비 성능평가:1||저조도 개선:1||촉매:1||최적화:1||탈질설비:1||태그:1||특징점 추출:1||표준화:1||프로세스 마이닝:1||필터링 기법:1||해양사고:1||해양시스템:1||Access control:1||해양플랜트:1||Access point:1||Added resistance:1||Approximation model:1||Automatic control:1||BOG reliquefaction system:1||BackPropagation Neural Network (BPNN):1||

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