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Theses (Master's Degree_건설환경공학부)

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Issue Date	Title / Author(s) / Citation	File
2018-08	SAR-SIFT와 DLSS를 활용한 고해상도 광학 및 SAR 영상 정합 연구 전형주	view file
2018-08	Bridge Damage Factor Recognition from Inspection Reports Using Active Recurrent Neural Network 정세환	view file
2018-08	Estimation of reaction forces for an elastically-supported rigid body by reconstructed displacements using measurements of accelerometers and potentiometers 전상범	view file
2018-08	Household Water conservation using IoT and suggestion of sustainable strategy 아르와	view file
2018-08	Prediction of Penetration Depth for Reinforced Concrete Panels by Projectile Impact 김충현	view file
2018-02	아파트 시장 보증부 월세화의 지역별 차등 요인 분석 - 서울시를 중심으로 - 이강환	view file
2018-02	초미세기포의 존재에 따른 용존기체농도의 획기적 향상 김은아	view file
2018-02	실물옵션분석을 이용한 보령댐 도수로 사업의 경제적 타당성 재평가 임선후	view file
2018-02	미계측유역의 유출량 산정을 위한 하이브리드 지역화모형의 개발 김영일	view file
2018-02	서울시 도시형 생활주택의 주차시설 부족현상에 따른 주택가격 변화에 관한 연구 김민철	view file
2018-02	바이오차 흡착 다방향족탄화수소의 탈착 및 생분해 증대: 분말형태 바이오차 사용과 계면활성제 효과 강세주	view file
2018-02	Determination of site-specific acceptable concentrations of copper using fixed monitoring benchmarks in water: Soil porewater and stream water 정부윤	view file
2018-02	Dynamic Response Investigation of an Adaptive Tuned Mass Damper System 김연호	view file
2018-02	Development of Korean Design Spectrum Based on the Domestic and Overseas Intra-plate Earthquake Records 허태민	view file
2018-02	Derivation of Wave Overtopping Formulas for Vertical and Inclined Seawalls Using GMDH Algorithm Seok Bong Lee	view file
2018-02	Effect Analyses of Internal Competency and Market Conditions on the Contractors' Overseas Diversification Strategy 목선수	view file
2018-02	Application of Recurrent Neural Network to Prediction of Structural Deterioration 최수빈	view file
2018-02	A Simulation Study of Demand Responsive Transport for the Disabled to Minimize User Waiting Time 가은한	view file
2018-02	Assessment of applicability to estimate shear strength parameters of weathered rock by field tests 유병수	view file
2018-02	골목상권 매출변화에 영향을 미치는 상권 특성 연구 김지원	view file

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