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정대원(Dae-Won Chung),고재하(Jae-Ha Ko),윤근영(Keun-Young Yoon) 대한전기학회 2021 대한전기학회 학술대회 논문집 Vol.2021 No.5
최근 인공지능 딥러닝(AI Deep Learning, DL) 기법은 공학 분야의 모델예측과 진단방법으로, 그 정확성이 검증되고 인증되면서 다양한 분야에서 그 우수한 성능을 발휘하고 널리 활용되고 있다. 본 논문에서는 이런 점에 착안하여 전력수요의 최적 관리를 위해 단기전력 수요예측 모델에 적용하는 방안을 제안한다. 단기간 전력수요 예측은 전력수요관리 측면에서 중요하나 그 정확성이 낮아서, 보다 우수한 성능 기법이 요구되었던 점에 비추어 적용성이 매우 높고, 기존의 방식에 비해 보다 우수한 성능과 정확한 전력수요관리가 가능하다. 특히 특정지역의 수용가의 사용된 전력량의 데이터를 바탕으로 전력수요 예측을 적용하였다. 또한 전력수요의 평균절대백분비오차(MAPE)를 비교하여, 전력수요 예측 결과의 정확성과 타당성을 검증하였다. 이를 통해 전력수요 변동에 따른 단주기 전력수요 예측 모델의 구현성 및 향후 활용 가능성을 확인하였다.
Grade 91 강의 모재와 용접재에 대한 천이영역의 크리프 균열 성장 속도 비교
박재영(Jae-Young Park),김우곤(Woo-Gon Kim),I.M.W.Ekaputra,김선진(Seon-Jin Kim),김민환(Min-Hwan Kim) 대한기계학회 2013 대한기계학회 춘추학술대회 Vol.2013 No.12
This paper presents a comparison of creep crack growth rate (CCGR) in transient regime for Grade 91 base metal (BM) and weld metal (WM). The CCG data for BM and WM were obtained by the CCG tests performed on 1/2 compact tension specimens under various applied loads at 600℃. The CCG rates were obtained using the empirical equation between da/dt and C<SUB>*</SUB> parameter. The B and q values were determined, and the results of normalized time and transient CCGR behaviors were compared for BM and WM.
( Jae Min Shin ),( Tae Hoon Lee ),( Sang Heum Park ),( Sang Goo Kang ),( Yeon Seon Lee ),( Suk Ja Park ),( Mi Gyeong Ku ),( Suck Ho Lee ),( Il Kwun Chung ),( Hyun Jong Choi ),( Jong Ho Moon ),( Sang W 대한소화기학회 2013 Gut and Liver Vol.7 No.1
Background/Aims: During endoscopic retrograde cholangiopancreatography (ERCP), all efforts should be made to be aware of radiation hazards and to reduce radiation exposure. The aim of this study was to investigate the status of radiation protective equipment and the awareness of radiation exposure in health care providers performing ERCP in Korean hospitals. Methods: A survey with a total of 42 questions was sent to each respondent via mail or e-mail between October 2010 and March 2011. The survey targeted nurses and radiation technicians who participated in ERCP in secondary or tertiary referral centers. Results: A total of 78 providers from 38 hospitals responded to the surveys (response rate, 52%). The preparation and actual utilization rates of protective equipment were 55.3% and 61.9% for lead shields, 100% and 98.7% for lead aprons, 47.4% and 37.8% for lead glasses, 97.4% and 94.7% for thyroid shields, and 57.7% and 68.9% for radiation dosimeters, respectively. The common reason for not wearing protective equipment was that the equipment was bothersome, according to 45.7% of the respondents. Conclusions: More protective equipment, such as lead shields and lead glasses, should be provided to health care providers involved in ERCP. In particular, the actual utilization rate for lead glasses was very low. (Gut Liver 2013;7:100-105)