• Journal of Korean Society of Coastal and Ocean Engineers
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• v.31 no.5
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• pp.294-304
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• 2019

This study evaluates the variation characteristics of wave fields (transmission ratio, wave height, time-averaged velocity and time-averaged turbulent kinetic energy) for two-dimensional low-crested structure by olaFlow model based on the two-phases flow numerically. In addition, the present numerical results are verified by comparing with the existing experimental results. The time-averaged velocity, one of various numerical results is formed counterclockwise circulating cell on the front of structure and is occurred strong uni-directional flow on onshore side. It is shown that these are closely related to the factors such as overtopping, etc.

• Smart Media Journal
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• v.11 no.10
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• pp.65-75
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• 2022

Deep learning is used as a creative tool that could overcome the limitations of existing analysis models and generate various types of results such as text, image, and music. In this paper, we propose a method necessary to preprocess audio data using the Niko's MIDI Pack sound source file as a data set and to generate music using Bi-LSTM. Based on the generated root note, the hidden layers are composed of multi-layers to create a new note suitable for the musical composition, and an attention mechanism is applied to the output gate of the decoder to apply the weight of the factors that affect the data input from the encoder. Setting variables such as loss function and optimization method are applied as parameters for improving the LSTM model. The proposed model is a multi-channel Bi-LSTM with attention that applies notes pitch generated from separating treble clef and bass clef, length of notes, rests, length of rests, and chords to improve the efficiency and prediction of MIDI deep learning process. The results of the learning generate a sound that matches the development of music scale distinct from noise, and we are aiming to contribute to generating a harmonistic stable music.

• Water for future
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• v.29 no.2
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• pp.199-207
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• 1996

To evaluate the usage of $\kappa-\imath$ turbulence closure for the analysis of thermal discharge behavior, a two-dimensional depth-integrated numerical model is developed. The developed model is applied to a steady flow in an open channel with simle geometry and the numerical results agree well with existing experimental data. The adequate simulation of recirculation, reattachment, and excess temperature rise at downstream of the outlet in the channel attributes to the correct calculation of turbulent eddy viscosity and diffusivity by $\kappa-\imath$ turbulence model. For an accurate prediction of thermal discharge behavior, the introduction of buoyancy production term, the modification of source/sink, and the correct input of turbulence constants of the $\kappa-\imath$ turbulence model are required.

• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.411-411
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• 2023

미래 대기 이산화탄소 농도가 증가함에 따라 강수 등 기후의 변화하고, 이는 유출량을 포함한 수문 순환 뿐 아니라 지면 식생 생장에 영향을 줄 것으로 예상된다. 이에 본 연구에서는 미래 CO2 증가에 따른 식생의 변화와 이로 인한 지표 유출량의 변화에 대해 이해하고자 한다. Intergovernmental Panel on Climate Change (IPCC) 6차 평가보고서에서 제시한 표준 온실가스 경로 중 탄소 모듈이 포함된 Coupled Model Intercomparison Project phase 6 biogeochemistry (CMIP6-BGC) 모델과 탄소 모듈이 포함안된 CMIP6 모델 결과를 활용하였다. 공통 사회경제경로 시나리오(Shared Socio-economic Pathway; SSP) 중 고탄소 시나리오인 SSP585에 따른 모델 결과물을 활용하였다. 표면 유출량 자료에 과거 기간 임계수준 방법을 (Threshold Level Method) 적용하여 동아시아 지역 극한 건조 및 습윤 상태의 빈도와 강도를 CMIP6-BGC와 CMIP6에 대해 평가하였다. CMIP6-BGC 경우, 건조 및 습윤 상태의 빈도는 각각 6.17%, 5.03% , CMIP6 경우 각각 9.29%, 6.70% 으로 예측되어, CMIP6-BGC가 CMIP6 보다 극한 상태를 과소평가하는 경향을 보였다. 또한, 잎 면적 지수(Leaf Area Index; LAI), 증산량 등의 변수를 분석하여, 기 도출된 CMIP6-BGC와 CMIP6 간의 극한 건조 및 습윤 상태 예측의 차이가 발생한 메카니즘을 이해하고자 하였다.

• Proceedings of the Korea Water Resources Association Conference
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• 2022.05a
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• pp.381-381
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• 2022

본 연구에서는 실시간적으로 계측, 수집된 자료를 이용하여 도시지역 물순환 전 과정에 대한 개별 물리모델 구동을 실시하고, 수자원의 양적인 흐름을 연계하여 표출하는 도시 수자원 사이버 물리시스템(CPS) 시뮬레이터에 활용되는 입력인자 변동성 분석을 실시하였다. 도시 수자원 실시간 CPS 시뮬레이터의 시나리오 분석을 위한 변동입력인자는 취수량, 타 배수지 구역 공급량, 대상지역 수용가 사용량 변화, 오수전환률 및 오수배출 지연시간 등으로 설정하였으며, 변동입력인자 변화모의를 위한 발현가능한 시나리오를 구축하고, 분석결과를 정량화하여 제시하였다. 본 연구에서 활용된 발현가능한 시나리오는 가뭄 등 취수제한상황에 따른 양적인 공급 흐름모의, 수용가 물 사용 패턴 변화(예, 코로나로 인한 비대면 재택 근무 증가 등)에 의한 상수, 오수변화량 모의 등으로 설정되었다. 분석 결과 다양한 입력인자의 변화에 따른 도시수자원 흐름변화에 영향을 주는 구성요소의 파악과 정성, 정량적 영향을 직관적, 정량적으로 평가할 수 있음을 확인하였다. 도출된 변동성 평가 결과는 설정된 시나리오가 현실화될 경우 효과성 높은 대응책을 마련하는데 활용이 가능하다.

• Proceedings of the Korea Water Resources Association Conference
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• 2022.05a
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• pp.412-412
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• 2022

지속가능한 물관리를 위해서는 강우, 수문학적 반응의 동적 순환과 생공업 및 농업 기반시설과 같은 관리 조치에 사용되는 물을 포함한 가용수(Available Water)의 시공간적 영향을 파악할 수 있어야 한다. 가용수의 구성요소를 파악하기 위해 블루워터와 그린워터의 개념이 제안되었다. 블루워터는 강수로 인해 형성된 지표수, 지하수 및 호수·저수지의 저류량을 포함하며, 그린워터는 강수로부터 불포화 토양층에 저장된 토양수분과 수역, 초목에서 대기 중으로 방출되는 증발산을 말한다. 블루워터와 그린워터를 산정하기 위해서는 동적 수자원과 인적 요소에 의존되는 수자원을 정확하게 구별해야 하며 물 가용성 평가를 용이하게 하는 통합 기반 개념의 수문학적 모델이 필요하다. 따라서 본 연구에서는 5대강을 대상으로 각 유역의 가용수량의 변화를 파악하기 위해 각 유역별 블루워터와 그린워터를 평가하고자 하였다. 5대강 유역의 장기간 변화와 광범위한 분석을 위해 SWAT(Soil and Water Assessment Tool) 모형의 수문모델링 결과를 활용하였다. SWAT 모형의 신뢰성 있는 수문 검보정을 위해 전체 기간(2005~2020) 중 모형의 보정(2005~2009) 및 검증(2010~2017)기간을 설정하였으며, 각 유역의 다목적댐과 다기능 보의 실측방류량을 이용하여 댐 운영모의를 고려하였다. 검보정된 SWAT 결과를 활용하여 블루워터와 그린워터를 분류하였으며 가용수량을 평가하는 방법을 제시하였다.

• Korean Journal of Food Science and Technology
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• v.43 no.6
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• pp.747-753
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• 2011

It is commonly believed that black soybean (Glycine max: BB) prevents and alleviates hair loss. However, few studies have directly assessed the effect of BB on hair growth. We presently evaluated the mitosis induction on dermal papillae cell and mitogenic effect on NIH3T3 cells in vitro. To elucidate the hair growth promoting effect in vivo, anagen induction and hair restoration were examined in a shaving model of C57BL/6 mice. We also conducted biochemical analysis of blood plasma. Significant stimulation of dermal papillae and NIH3T3 cell proliferation were observed by treatment of BB in a dose-dependent manner. BB markedly promoted hair growth and significantly improved blood total antioxidant capacity and reduced lipid peroxidation and triglyceride level. These results suggest that BB has hair growth promoting effect and it is a potent candidate for the prevention of hair loss.

• Journal of Nuclear Fuel Cycle and Waste Technology(JNFCWT)
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• v.13 no.4
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• pp.253-262
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• 2015

Radionuclide deposited on the surface of several internal and external systems in a nuclear power plant is created by the activation of corrosion products from nuclear reactor structural materials and fission products. Especially, the constant contact between water and the surface corrodes the inside where primary system makes coolants and corrosion products mixed. Also, these are circulated along the systems. For comparing models, CRUDTRAN, DISER, MIGA-RT and CPAIR codes are analyzed to predict the quantity of radionuclide and corrosion product of primary reactor that are used at the stage of designing. The corrosion products behavior of domestic PWR primary system was predicted by using CRUDTRAN. This study aims to increase the reliability of corrosion product evaluation model by comparing the actual values and calculated values with the data of a Westing House-type Nuclear Power Plant.

• Transactions of the Korean Society of Mechanical Engineers B
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• v.37 no.5
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• pp.449-457
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• 2013

In this study, we performed a numerical analysis to investigate the effect of rotation on the blood flow and arterial wall behavior by using the FSI (fluid-structure interaction) technique. The geometry of the artery included 50% stenosis at the center. To simulate the rotational effect, 2-6 rps of axial velocity was applied to the arterial model. A spiral wave and asymmetric flow occurred due to the stenosis and axial rotation both in the rigid body model and in the FSI model. However, the arterial wall motion caused periodic and transient blood flow changes in the FSI model. The FRZ (fluid recirculation zone) decreased in the FSI model, which is a known predictor for the formation and vulnerability of plaque. Therefore, it is observed that arterial wall motion also influences the generation of the FRZ.

• Water for future
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• v.25 no.1
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• pp.101-110
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• 1992

In this paper for simulating spatially and temporally varied moving storm in a watershed a distributed model was developed. The model is conducted by two major flow simulations which overland flow simulation and channel network flow simulation. Two dimensional continuity equation and momentum equation of kinematic approximation are used in the overland flow simulation. On the other hand, in the channel networks simulation two types of governing equations which are one dimensional continuity and momentum equations between two adjacent sections in a channel, and continuity and energy equations at a channel junction are applied. The finite element formulations were used in the overland flow simulation and the implicit finite difference formulations were used in the channel network simulation. The finite element formulations for the overland flow are analyzed by the Gauss elimination method and the finite difference formulations for the channel network flow are analyzed by the double sweep method having advantages of computational speed and reduced computer storages. Several recurrent coefficient equations for channel network simulation are suggested in the paper.