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Artificial Intelligence Detection System of Radioactive Nanocomposites in Liquid-Filled Containers for Nuclear Security.
- Source :
-
Nuclear Technology . May2024, Vol. 210 Issue 5, p868-883. 16p. - Publication Year :
- 2024
-
Abstract
- Nuclear terrorism resulting from the illicit trafficking of nuclear and radioactive materials consists of a serious threat against the security of countries. Hence, the transportation of hidden nuclear materials in large-scale cargos has emerged as an important public issue that requires immediate attention. The security architecture should merge the nuclear security systems and execute a procedure for the detection of nuclear and radioactive materials. In this regard, the detection of special nuclear materials (SNMs) in liquid-filled cargo containers is an essential matter of homeland security because of the difficulties imposed by liquids in performing efficient manual inspection. This paper presents a new artificial intelligence (AI) system implemented with fuzzy logic tools for detecting composite materials, including Pb-Th, Pb-U, and Pb-Co, in containers filled with water by utilizing optical signature information obtained with COMSOL. The developed AI system and its underlying method are validated for a scenario of detecting Pb-Th, Pb-U, and Pb-Co in water-filled containers. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 00295450
- Volume :
- 210
- Issue :
- 5
- Database :
- Academic Search Index
- Journal :
- Nuclear Technology
- Publication Type :
- Academic Journal
- Accession number :
- 176711788
- Full Text :
- https://doi.org/10.1080/00295450.2023.2254168