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Taewook Kim,Kiseop Choi,Kidoo Kang,Jonghyun Ha 한국방사성폐기물학회 2008 방사성폐기물학회지 Vol.6 No.1
고밀도폴리 에틸렌 고건전성용기에 담은 폐수지의 운반을 위해 원전 폐수지의 방사능 분석결과를 사용하여 운반물 등급 분류방법을 도출하였다. 원전 폐수지의 방사능 분석결과로부터 폐수지 내 핵종 존재비를 구하였고, 폐수지의 표면선량률로 핵종재고량을 평가하기 위해 MCNP 코드로 방사능대선량 환산인자를 모사하였다. 이로부터 고밀도폴리에틸렌 고건전성용기에 담은 폐수지에 대한 A형 운반물과 B형 운반물의 경계값은 1.19 TBq 이고 이를 표면선량으로 환산한 결과는 124.2 mSv/h임을 알 수 있었다. In order to transport spent resin in a high integrated container made of high density polyethylene, a method for determining transportation grade by radioactivity analysis was developed. Ratios of radioisotopes in spent resin were derived from radioactivity analysis on spent resin. Associated curie-to-dose factors were determined to estimate radioisotope inventory from surface dose rates of spent resin. From the results, Activity limit of type A package was derived to be 1.19 TBq for HIC, and the corresponding surface dose rate was found to be 124.2 mSv/h.
김용중(YongJoong Kim),최병상(ByungSang Choi),이기섭(KiSeop Lee),정경권(KyungKwon Jung) 한국통신학회 2021 한국통신학회 학술대회논문집 Vol.2021 No.11
This paper propose a deep learning algorithm for an active detection system for persons with fever. The proposed algorithms extracts a sufficient temporal artery region similar to the central temperature of the human body. The proposed algorithm is in development. The developed algorithm will be adopted to Active Detection System. The system to be developed will be very useful in preventing the spread of infection by quickly finding a fever in COVID-19, which is currently prevalent around the world, and similar respiratory-related diseases in the future.
발열자 능동 감지 시스템을 위한 얼굴 윤곽 추출 알고리즘
김용중(YongJoong Kim),최병상(ByungSang Choi),이기섭(KiSeop Lee),정경권(KyungKwon Jung) 한국통신학회 2022 한국통신학회 학술대회논문집 Vol.2022 No.2
This paper propose a facial contour extraction algorithm for an active detection system for persons with fever. The proposed algorithm extracts facial contour regions for searching the central temperature of the human body. The proposed algorithm is in developing. The developed algorithm will be adopted to Active Detection System. The system to be developed will be very useful in preventing the spread of infection by quickly finding a fever in COVID-19, which is currently prevalent around the world, and similar to respiratory-related diseases in the future.