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홍철의(Chuleui Hong),박경모(Kyeongmo Park) 한국정보과학회 2006 정보과학회논문지 : 시스템 및 이론 Vol.33 No.8
본 논문에서는 병렬처리에서 중요한 이슈인 부하균형 문제에 대한 새로운 솔루션을 소개한다. 솔루션으로 제안하는 MGA 기법은 평균장 어닐링(MFA)과 유전자 알고리즘(GA)의 장점을 효과적으로 결합한 휴리스틱 부하균형기법이다. 제안된 MGA을 다른 매핑 알고리즘(MFA, GA-1, GA-2)들과의 성능 향상비를 측정하는 멀티프로세서 매핑 시뮬레이션을 개발하였다. 휴리스틱 매핑 기법의 합성을 통하여 기존의 방법보다 수행시간은 오래 걸리는 대신 솔루션 품질, 즉 최대종료시간 및 통신부하에서 개선된 실험결과를 얻을 수 있다는 것을 보였다. In this paper, we introduce a new solution for the load balancing problem, an important issue in parallel processing. Our heuristic load balancing technique called MGA effectively combines the benefit of both mean-field annealing (MFA) and genetic algorithms (GA). We compare the proposed MGA algorithm with other mapping algorithms (MFA, GA-1, and GA-2). A multiprocessor mapping algorithm simulation has been developed to measure performance improvement ratio of these algorithms. Our experimental results show that our new technique, the composition of heuristic mapping methods improves performance over the conventional ones, in terms of solution quality with a longer run time.
유효 및 무효 전력 변화를 이용한 비접촉식 가전기기 부하 식별
홍철의(Chuleui Hong),박경모(Kyeongmo Park) 한국디지털콘텐츠학회 2019 한국디지털콘텐츠학회논문지 Vol.20 No.1
The nonintrusive appliance load monitoring analyzes the changes in power supplied to each home and identifies the currently used household appliances using energy disaggregation. The presented technology in the paper give information to the consumers on their energy usage and saving methods such as standby power cut off, abnormality of devices, and purchase of energy saving products, etc. It also provides the appliance manufacturers with development data on energy-efficient devices and suggests ways to utilize it in national policy and public services. We measure the total amount of electric power used, and compare it with the power signature of each electric appliance to identify the appliances being used. Experimental results on seven different home appliances show that the average identification accuracy is 95.3%.
Kwang-Su Lee,Dong-Pyo Lyu,Chang-Ki Hong,Chuleui Jung,Ki-Jeong Hong,Young-Ju Park,Heung-Sik Lee 한국응용곤충학회 2012 한국응용곤충학회 학술대회논문집 Vol.2012 No.10
This study was conducted to estimate temperature effect on the hatching success of Asian Gypsy Moth (AGM), Lymantria dispar (Linne) in different temperature conditions (15, 20, 25, 30, and 35℃). The egg masses were collected during winter season and stored in cold room (4℃). The hatching rate was evaluated from the number of hatched caterpillar for period of 50 days. As a result, hatching rates were 89.80, 92.94, 95.51, 62.02, and 18.35% at 15, 20, 25, 30, and 35℃, respectively. The optimal temperature on the hatching success of AGM egg might be 20~25℃.