ScholarWorks@Gyeongsang National University: Choi, Young Hwan

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Choi, Young Hwan (최영환)

건설환경공과대학 (건설시스템공학과)

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Tel 0557723292
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water distribution systems:4||MannKendall Test:2||상수도시스템:2||water distribution system:2||물 분배 시스템:2||Water distribution system:2||Water distribution system (WDS):2||Deep neural network:2||Water Distribution Systems:2||Optimal design of water distribution systems:2||optimal design:2||Depopulation:1||Detection Algorithm:1||Direct·Indirect Assessments:1||Displacement:1||Disruption:1||Field Test Data:1||Harmony Search:1||Harmony search:1||Harmony search algorithm:1||Hybrid algorithm:1||Hydraulic Analysis Model:1||Hydraulic analysis model:1||Hydraulic and water quality factors:1||Image data training:1||Internal defect detection:1||Internal defect evaluation:1||Jannissary:1||Leakage detection:1||Leakage detection performance:1||Leakage restoration:1||Leakage scenarios:1||Leakge:1||Machine Learning:1||Metaheuristic algorithm:1||Millet:1||Multiobjective Harmony Search (MOHS):1||Multiobjective Harmony search (MOHS):1||Multiobjective harmony search:1||Multiobjective optimization:1||Nakdong River Basin Pollution Level:1||Network shapes and type:1||Operator:1||Performance quantification:1||Pipeline defect detection:1||Realtime detection and diagnosis:1||Residual chlorine:1||Structural and nonstructural factors:1||System Performance Assessments:1||System resilience:1||System vulnerability index:1||Turbidity:1||Turkish history:1||Vanishing point:1||Vulnerability evaluation framework:1||WDS classification:1||Wastewater treatment facility:1||Water Quality:1||Water Quality Evaluation Index:1||Water quality and hydraulic indices:1||abnormal situation:1||combined water system:1||correlation analysis:1||cyberattack detection:1||damage from undelivered water:1||deep learning:1||deep neural network:1||demanddriven analysis:1||drainage systems:1||emitter:1||energy recovery:1||extreme learning machine:1||harmony search:1||hydraulic analysis:1||large scale:1||leakage:1||leakage detection:1||leakage management:1||machine learning algorithms:1||manyobjective optimization:1||microhydro turbines:1||multiobjective optimal design:1||multiobjective optimization:1||multiobjectives harmony search:1||multiple regression analysis:1||optimal valve location:1||optimization:1||pressure reducing valve:1||pressuredriven analysis:1||remote sensing data and controller:1||residual chlorine hydraulic:1||revenue water ratio:1||segment:1||system resilience:1||system robustness:1||system vulnerability:1||topological layout:1||turbine cost:1||vulnerability evaluation framework:1||water allocation system:1||water distribution network:1||water distribution systems design and operation:1||water quality analysis:1||water reuse systems:1||water treatment facility:1||낙동강 유역 오염도:1||내부결함 탐지:1||내부결함 평가:1||네트워크 형식 및 특징:1||누수량계:1||누수복구 우선순위:1||누수시나리오 생성:1||누수탐사:1||누수탐사성능 평가:1||다목적 최적화:1||댐 관리:1||데이터 증강기법:1||머신러닝:1||모의사고 데이터 생성기법:1||변위계:1||비정상상황:1||비정상상황 감지:1||사이버 공격:1||사이버 물리 시스템:1||상수도 시스템:1||상수도관망 최적 설계:1||성능평가:1||소실점:1||수리모형:1||수리해석모형:1||수질:1||수질평가지수:1||시스템 탄력성:1||용수공급시스템:1||이상패턴:1||인공신경망:1||인구감소:1||잔류염소 농도:1||잠재적 가용중단:1||지방분권화:1||지방상수도:1||직·간접 평가:1||침투수탁도계:1||탐지 알고리즘:1||Abnormal conditions:1||현장시험 데이터:1||Abnormal pattern:1||Anomaly Detection:1||Artificial Neural Network:1||Artificial intelligence:1||CEC 2014:1||Cyber Physical System:1||Cyberattack:1||Dam management:1||Data Argumentation:1||Data Generation Approach:1||

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