개인구독
소속 기관이 없으신 경우, 개인 정기구독을 하시면 저렴하게
논문을 무제한 열람 이용할 수 있어요.
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 발행연도
- 2021.6
- 수록면
- 2,190 - 2,194 (5page)
이용수
초록· 키워드
오류제보하기
Recently, the terrorism using nuclear materials has emerged as a serious threat, therefore, several studies have been conducted on nuclear material monitoring. The proposed a novel nuclear monitoring system is composed of a large monolithic detector based dual-side plastic scintillator and machine-learning technique based positioning technique. The system can obtain a simultaneous image of nuclear material of both left and right side using one detector. Monte Carlo (MC) simulations evaluated the proposed system performance while moving nuclear material on a sidewalk. The results of this study is meaningful to develop machine learning based positioning methods to improve the accuracy of a two-dimensional (2D) position sensitive detector. The simulation results indicate that the proposed system would be useful to contribute to prevent nuclear terrorism.
목차
Abstract
I. Introduction
II. Materials and Methods
Ⅲ. Results and discussion
Ⅳ. Conclusion
Reference
참고문헌 (0)
참고문헌 신청함께 읽어보면 좋을 논문
논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!
-
원전에서의 원자력 안전문화 모니터링 방법
한국에너지학회 학술발표회
2023 .04
-
Legal Policy Study on Nuclear Liability Principle of Nuclear Operator Under Korea Nuclear Liability Law
한국방사성폐기물학회 학술대회
2018 .01
-
Challenges in nuclear energy adoption: Why nuclear energy newcomer countries put nuclear power programs on hold?
Nuclear Engineering and Technology
2024 .04
-
Evaluate of the Spent Nuclear Fuel Rod Model Using the Monte Carlo Simulation
한국방사성폐기물학회 학술대회
2017 .01
-
Modelling of the Spent Nuclear Fuel Assembly Using the Monte Carlo Method
한국방사성폐기물학회 학술대회
2017 .01
-
The relationship between public acceptance of nuclear power generation and spent nuclear fuel reuse: Implications for promotion of spent nuclear fuel reuse and public engagement
Nuclear Engineering and Technology
2022 .06
-
텍스트마이닝 기법을 활용한 사용후핵연료 건식처리기술 관련 언론 동향 분석
지능정보연구
2021 .06
-
A study on the safeguards implementation of the nuclear facilities using small quantities of the nuclear material at KAERI
한국에너지학회 학술발표회
2017 .04
-
Predictive maintenance architecture development for nuclear infrastructure using machine learning
Nuclear Engineering and Technology
2020 .01
-
Material Attractiveness of Unirradiated Depleted, Natural and Low-Enriched Uranium for Use in Radiological Dispersal Device
Nuclear Engineering and Technology
2021 .05
-
Nuclear Safety: A Longitudinal Case Study from the Fukushima Nuclear Disaster
한국안전학회지
2016 .01
-
원전의 원자력 안전문화 평가 방법 개선
한국에너지학회 학술발표회
2023 .10
-
The importance of nuclear energy for the expansion of world's energy demand
Advances in energy research
2015 .01
-
Big Data Analysis of Public Acceptance of Nuclear Power in Korea
Nuclear Engineering and Technology
2017 .06
-
Assessment of public knowledge, perception, and acceptance of nuclear power in Bangladesh
Nuclear Engineering and Technology
2023 .04
-
신규 원전의 시장전망 및 금융조달의 과제와 대안
KEPCO Journal on electric power and energy
2016 .01
-
Current Status and Issues of Nuclear Safety Culture
대한인간공학회지
2016 .08
-
Similarity analysis of gamma images based on a pixelated CdTe semiconductor detector system using a quadrant bar phantom for nuclear medicine: Monte Carlo simulation study
Nuclear Engineering and Technology
2021 .06
-
형상관리와 국내외 원전 동향
한국정보통신학회 종합학술대회 논문집
2022 .10
-
2009–2022 Thailand public perception analysis of nuclear energy on social media using deep transfer learning technique
Nuclear Engineering and Technology
2023 .06
이 논문의 저자 정보
최근 본 자료
댓글(0)
0