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차동원,박상훈,김민식,김태완,홍석원,조경화,이창하 한국공업화학회 2020 한국공업화학회 연구논문 초록집 Vol.2020 No.-
The oxidation of micropollutants (MPs) by ozonation proceeds via the reactions with molecular ozone (O<sub>3</sub>) and hydroxyl radical (ㆍOH). To predict MP abatement during ozonation, developing a model that can accurately predict oxidant exposures needs to be preceded. This study demonstrates machine learning models based on the Random Forest (RF) algorithm to output oxidant exposures from water quality parameters including fluorescence excitation-emission matrix (FEEM) data for organic matter characterization. Oxidant exposure of sixty natural waters and wastewater effluents samples were determined. Models using high resolution FEEM data generally exhibited high prediction accuracy, implying that the organic matter characteristics quantified by FEEM can be important factors to improve the accuracy of the prediction model.
차동원,명영수 한국경영과학회 1984 經營 科學 Vol.1 No.1
본 논문에서는 모델 수립과정에 대한 올바른 인식과 함께 과거 모델 수립 과정의 문제점을 파악하고 계량적 모델의 성공적인 활용을 위한 개선방안에 대해서 논의하고자 한다.
건물의 지하구조변경에 따른 지상층의 실내 라돈농도에 관한 실험적 연구
차동원,서승직 대한건축학회 2003 대한건축학회논문집 Vol.19 No.2
The Test Cells that had been built and utilized for the previous study titled "An experimental study on variation of indoor radon concentration and soil gas analysis" was utilized for this study as well to find out what are the important differences in indoor radon concentration when the test cells are with or without basement. For this purpose, the basement was filled with imported soil after the previous study to have changes in substructure as follow; 1) filled up to 30cm below ground floor slab to make floating slab, 2) filled the unfilled space to make grade-on slab, and 3) substitute top 10cm thick soil with gravel underneath ground floor slab to provide high permeability. The indoor concentrations of ground floor at the above three status were measured and analyzed in regression method to compare with each other and with when the basement was not filled.
차동원(Dong-Won Cha),최원기(Won-Ki Choi),이강영(Kang-Yuong Lee),서승직(Seung-Jik Suh) 대한설비공학회 2006 대한설비공학회 학술발표대회논문집 Vol.2006 No.11
Ondol, Korean under-floor heating system, has been a target for innovation to meet the requirements of sustainable domestic building and low carbon emission energy utilization. Simulation techniques provide designers and researchers with powerful tools to predict heating load and thermal behaviour of Ondol systems installed in various contexts. However, there are few studies on Ondol models, especially associated with multi-stories buildings of which type covers about 50% of Korean housing stock. In this study, we analyzed the smart floor system which was developed and tested by the KICT, using the ESP-r program. On the basis of the smart floor system, we suggested the new modelling method that is composed the vent-zone and ondol-zone. Using the this model, sensitivity analysis was carried out to refine the applicability of the model taking account of control conditions, infiltration rate and air flow network method and CFD analysis using the FLUENT. The air layer has enough temperature to use in room. It is suggested that the simplicity of the model will allow building designers and mechanical engineers easily to implement scenario-based assessment of design options as well as control strategy.