Detecting Unauthorized Movement of Radioactive Material Packages in Transport with an Adam-Optimized BP Neural Network Model

IF 1 4区工程技术 Q3 NUCLEAR SCIENCE & TECHNOLOGY

Science and Technology of Nuclear Installations Pub Date : 2023-12-18 DOI:10.1155/2023/6363270

Panpan Jiang, Xiaohua Yang, Yaping Wan, Tiejun Zeng, Mingxing Nie, Chaofeng Wang, Yu Mao, Zhenghai Liu

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引用次数: 0

Abstract

The rapid expansion of nuclear technology across various sectors due to global economic growth has led to a substantial rise in the transportation of radioactive materials. The International Atomic Energy Agency (IAEA) estimates that approximately 20 million shipments of radioactive materials occur annually. In this context, ensuring the safety and security of radioactive material transportation is of significant importance. IAEA’s “Security of Radioactive Materials in Transport” (Nuclear Security Series No. 9-G) mandates that an effective transport security system should provide immediate detection of any unauthorized removal of the packages. In the present study, an innovative Adam-optimized BP neural network model is developed for detecting unauthorized movements of radioactive material packages. To analyze the performance of the proposed algorithm, numerous experiments were conducted. The results demonstrate that the proposed method achieves a 99.17% accuracy rate in detecting unauthorized movements of radioactive materials, with a missed alarm rate of 0.72% and a false alarm rate of 0.1%. This method also enables real-time detection of unauthorized removal of radioactive materials and effectively enhances the security of radioactive materials during transport to reduce the risks of theft, loss, diversion, or sabotage.

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利用亚当优化 BP 神经网络模型检测运输过程中未经授权的放射性物质包裹移动情况

由于全球经济增长，核技术在各个领域迅速扩展，导致放射性材料的运输量大幅上升。据国际原子能机构（IAEA）估计，每年约有 2000 万次放射性材料运输。在这种情况下，确保放射性材料运输的安全和安保就显得尤为重要。国际原子能机构的 "放射性材料运输安全"（《核安全丛书》第 9-G 号）规定，有效的运输安全系统应能立即检测到任何未经授权的包裹移动。在本研究中，开发了一个创新的亚当优化 BP 神经网络模型，用于检测放射性物质包裹的未经授权移动。为分析所提算法的性能，进行了大量实验。结果表明，所提出的方法在检测未经授权的放射性物质移动方面达到了 99.17% 的准确率，漏报率为 0.72%，误报率为 0.1%。该方法还能实时检测未经授权移动放射性物质的情况，有效提高放射性物质在运输过程中的安全性，降低被盗、丢失、转移或破坏的风险。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Science and Technology of Nuclear Installations NUCLEAR SCIENCE & TECHNOLOGY-

CiteScore

2.30

自引率

9.10%

发文量

审稿时长

4-8 weeks

期刊介绍： Science and Technology of Nuclear Installations is an international scientific journal that aims to make available knowledge on issues related to the nuclear industry and to promote development in the area of nuclear sciences and technologies. The endeavor associated with the establishment and the growth of the journal is expected to lend support to the renaissance of nuclear technology in the world and especially in those countries where nuclear programs have not yet been developed.