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원동준(Dongjun Won) 대한전기학회 2021 전기의 세계 Vol.70 No.6
전력계통의 디지털 트윈은 실시간성과 데이터 기반 모델링 및 예측 기반 운영의 측면에서 차별성을 가지며, 재생에너지 증가에 따른 불확실성에 선제적으로 대응하는 미래 전력망 구축을 가능케 할 것이다. The unique characteristics of the power system digital twin are real-time, data-driven modeling and prediction-based proactive operations. It can establish the future power system that proactively responds to the uncertainties of renewable energy.
원동준(Won, Dong-Joon),허영진(Heo, Youngjin),정한교(Jung, Han-Kyo),김진현(Kim, Jinhyun) 대한기계학회 2012 대한기계학회 춘추학술대회 Vol.2012 No.11
The purpose of this study is to examine the most ideal design of the external form and the internal figure for the duct type AUV using the CFD. The most important factor when designing an AUV is to consider drag force and thrust because these determine the power-efficiency. Therefore, to design an ideal AUV various factors which affect drag force and thrust were drawn. Also to minimize the amount of experiments and analyze the CFD efficiently the experiments design was used. Through this process design factors were found which minimizes the drag force and thrust influence on the Duct type AUV.
실험적 급성 허혈성 신부전에서 Verapamil 이 혈중 Polyamine 동태에 미치는 영향
원동준(Dong Jun Won),권현민(Hyun Min Kwon),김용섭(Yong Seop Kim),구자룡(Ja Ryong Gu),권영주(Young Ju Kwon),조원용(Won Yong Cho),김형규(Hyung Kyu Kim) 대한내과학회 1991 대한내과학회지 Vol.40 No.6
N/A It has been proposd that calcium entry from an external medium increases intracellular free calcium to toxic levels during ischemic acute renal failure, and verapamil (ARF) has been suggested as the agentblocking calicium entry into renal cells and protecting renal function during ischemic injury. Polyamines, anorganic cations that play various roles in normal cellular proliferation and differentiation, accumulate in renal failare. Alsa it has been suggested tht the synthesis and metabolism of polyamine are influence by acute changes of the general condition, such as acute renal failure, and are mediated by a calcium influx into the cells. The study was designed to study the protective effects of systemic verapamil pretreatment on renal function and the influence on polyamine metabolism in experimental ischemic ARF in cats. For these purpose, the experimental animals were divided into 2 groups. While Group I (n=5) was an ischemic ARF model by renal artery clamping for 60 minutes, Group II (n=5) was ischemic ARF with systemic verapamil (5 ml/min/kg) pretreatment. The creatinine clearance and plasma and urinary polyamine were measured in each group before and after the renal artery clamp. The results were as follows: 1) Creatinine clearance before and after the renal artery clamp were 10.64±7.18 ml/min/kg and 2.09±1. 70 ml/min/kg in Group I, 4.47±3.38 ml min/kg and 0.60±0.79ml/min/kg in Group II, respectively, So creatinine clearance decreased more significantly in Group II campared with Group I. 2) Plasma polyamine increased after ischemia in Group I. In group I, plasma levels of putrescine, spermidine, and spermine before ischemia were 4.75±0.40 nmol/ml, 0.69±0.09 nmol/ml, and 0.83±0.63 nmol/ml, were elevated to 7.17±2.91 nmol/ml, 9.83±1.46 nmol/ ml, and 2.64±1.14nmol/ml after ischemia. But in Group II, the plasma level of polyamine was not changed, and especially, spermine decreased significantly from 0.83±0.27 before ischemia to 0.49±0.23 nmol/ml after ischenmine (p=0.033). 3) Urine polyamine excretion decreased after ischemia in Group I and Group II. In Group II, urinary excretion of spermidine and spermine before ischemia, 0.13±0.10 nmol/min and 0.17±0.13nmol/min, decreased after ischemia to 0.01±0.01nmol/min (p=0.019) and 0.032±0.26 nmol/min (p=0.0257). 4) In renal tissue, spermine content vas highest. In Group II, preischemic spermine were 397.20 nmol/g and increased to 646.66nmol/g after ischema, But there were no significant changes in the polyamine contents in Group II. From these data, it was suggested that systemic verapamil pretreatment exerts no protective effect on ischemic ARF. Plasma polyamines are elevated in ischemic ARF, and verapamil may protect these elevations.
원동준(Dong-Jun Won),김선겸(Sun-Kyum Kim),김영훈(Yeonghun Kim),송규원(Gyuwon Song) Korean Institute of Information Scientists and Eng 2021 정보과학회논문지 Vol.48 No.7
Recently, research on fine dust has been conducted through various prediction techniques. However, currently the research focused on PM<SUB>10</SUB> concentration prediction, and thus it is necessary to develop a model capable of predicting PM<SUB>2.5</SUB> concentration. In this paper, we have collected air quality, weather, and traffic of the Banwol Shihwa National Industrial Complex in the recent two years. The significance of the variable been identified through correlation analysis and regression analysis among PM<SUB>2.5</SUB> and PM<SUB>10</SUB>, SO₂, NO₂, CO, O₃, temperature, humidity, wind direction, wind speed, precipitation, road section vehicle speed for each vehicle. Next, the data has been used to predict PM<SUB>2.5</SUB> concentration based on time in the industrial complex. Through the artificial intelligence techniques, Random Forest, XGBoost, LightGBM, Deep neural network and Voting models, PM<SUB>2.5</SUB> concentration industrial complexes been predicted on an hourly basis, and comparative analysis been conducted based on RMSE. As a result of prediction, RMSE was 6.27, 6.41, 6.22, 6.64, and 6.12, respectively, and each technique showed very high performance compared to 10.77 of the technique predicted by Air Korea.