http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
제네틱 알고리듬을 이용한 PCB 채널 내 칩배열의 열적 최적화
백창인,이관수,김우승,Baek, Chang-In,Lee, Gwan-Su,Kim, U-Seung 대한기계학회 1997 大韓機械學會論文集B Vol.21 No.3
A thermal optimization of the chip arrangement in the PCB channel oriented vertically and cooled by natural convection has been studied. The objective of this study is to find the chip arrangement that minimizes the maximum temperature of the entire PCB channel. SIMPLER algorithm is employed in the analysis, and the genetic algorithm is used for the optimization. The results show that the chip with a maximum volumetric heat generation rate has to be located at the bottom of the channel, and chips with relatively high heat generation rates should not be close to each other, and small chip should not be located between the large chips.
돌출 열원을 갖는 3차원 밀폐 공간내에서의 자연대류-복사 복합 열전달에 대한 실험적 및 수치적 연구
백창인,이관수,김우승,Baek, Chang-In,Lee, Gwan-Su,Kim, Woo-Seung 대한기계학회 1996 大韓機械學會論文集B Vol.20 No.10
An experimental and numerical study on the three-dimensional natural convection-radiation conjugate heat transfer in the enclosure with heat generating chip has been performed. A 3-dimensional simulation model is developed by considering heat transfer phenomena by conduction-convection and radiation. Radiative transfer was analyzed with the discrete ordinates method. Experiments are conducted in order to validate the numerical model. Comparisons with the experimental data show that good agreement is obtained when the radiation effect is considered. The effects of the thermal conductivity of the substrate and power level on heat transfer are investigated. It is shown that radiation is the dominant heat transfer mode and the conductivity of the substrate has important effects on the heat transfer in the enclosure.
백창인(Chang In Baek),태경응(Kyung Eung Tae),이경순(Kyung Soon Lee),이정재(Jurng Jae Yee) 대한설비공학회 2021 대한설비공학회 학술발표대회논문집 Vol.2021 No.6
Predicting indoor air quality in indoor spaces can alert residents to improve indoor air quality before the indoor air quality deteriorates, which can greatly help indoor residents comfort, health, safety and hygiene. We measured indoor air quality (CO2 concentration, PM2.5, temperature, humidity, TVOCs) in school classrooms and developed CO₂ and PM2.5 concentration prediction models using Recurrent Neural Networks (RNN) and validated their feasibility. To predict indoor air quality in the next 10 minutes, we investigated how much historical data is good to use. Studies have shown that models using LSTM recurrent neural networks have well predicted indoor air quality in classrooms, but have been burdened with time or memory spent on training models, and considering their practicality in the field, lighter prediction models are needed.
딤플형 돌출물이 부착된 판형 열교환기의 관내측 열유동 해석
이관수,정제원,백창인,Lee, Gwan-Su,Jeong, Je-Won,Baek, Chang-In 대한기계학회 1998 大韓機械學會論文集B Vol.22 No.1
The present work analyzes the pressure drop and heat transfer characteristics of the plate heat exchanger with staggered dimples. The flow is assumed to be constant property, three dimensional and laminar. A thermal boundary condition is uniform wall temperature and it is assumed that the flow is periodically fully developed. Elliptic grid generation is used for proper modelling of the internal tube geometry with dimples. Computations have been carried out for a variety of geometric parameters, Reynolds number, and Prandtl number. The friction factor ratio and the ratio of a module average Nusselt number are presented for the cases considered in this study. It is found that the distance between dimples has a substantial effect on the pressure drop and heat transfer.
학교 교실 실내공기질 시계열 데이터의 순환신경망 기반 예측모델 개발
태경응(Kyung Eung Tae),백창인(Chang In Baek),이경순(Kyung Soon Lee),이정재(Jurng Jae Yee) 대한설비공학회 2022 대한설비공학회 학술발표대회논문집 Vol.2022 No.11
Predicting indoor air quality in indoor spaces can alert residents to improve indoor air quality before the indoor air quality deteriorates, which can greatly help indoor residents comfort, health, safety and hygiene. We measured indoor air quality (CO2 concentration, PM2.5, temperature, humidity, TVOCs) in school classrooms and developed CO₂ and PM2.5 concentration prediction models using Recurrent Neural Networks (RNN) and validated their feasibility. To predict indoor air quality in the next 10 minutes, we investigated how much historical data is good to use. Studies have shown that models using LSTM recurrent neural networks have well predicted indoor air quality in classrooms, but have been burdened with time or memory spent on training models, and considering their practicality in the field, lighter prediction models are needed.
정장훈(Jang Hoon Jeong),백창인(Chang In Baek),임종식(Jongsik Lim),손성호(Seong-Ho Son) 한국통신학회 2021 한국통신학회 학술대회논문집 Vol.2021 No.6
본 논문은 레이저 거리측정 센서를 사용하여 측정하고자 하는 물체 사이에 액체 매질이 있을 때의 거리측정을 하여 특수한 환경에서도 정확한 거리측정을 하고자 한다. 액체는 공기와 굴절률이 달라 거리측정 시에 왜곡이 발생하여 정확한 거리가 나오지 않지만 이를 보정하여 정확한 거리를 측정하고 나아가 인체의 형상을 구현하는 것을 목표로 한다.