Extending intervals for periodic leakage rate testing of radioactive material transportation packagings

Liu, Y.; Tsai, H.; Shuler, James

doi:10.1179/1746510910y.0000000010

Cited by 4 publications

(3 citation statements)

References 4 publications

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“…Te system utilizes GPS technology to track and monitor vehicles transporting the materials. Additionally, the ARG-US system could be implemented for tracking and monitoring nuclear materials within facilities [12]. Vander Wal et al [13] developed the TRAVELER program based on the ARG-US system and established a virtual geographic boundary for radioactive material shipments.…”

Section: Related Workmentioning

confidence: 99%

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

Jiang,

Yang,

Wan

et al. 2023

Science and Technology of Nuclear Installations

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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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Section: Related Workmentioning

confidence: 99%

“…Finally, the weights and biases are updated, and the weights W [l] t for the t-th iteration are obtained as equation (12). Similarly the network weights V [l] t , biases B [l] t , and Ɵ [l] t between the input and hidden layers during the t-th iteration are updated as follows:…”

Section: Bp Neural Network Optimized By Adam Algorithmmentioning

confidence: 99%

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

Jiang,

Yang,

Wan

et al. 2023

Science and Technology of Nuclear Installations

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show abstract

“…Due to the available secondary sources, we found out that TradeLens provides tracking and tracing cargo (containers) in close to real time and that it seamlessly cooperates in this respect with road and rail modes of transportation. This segment of tracking and tracing cargo will not be discussed here, but the following references can give the readers at least the idea how this segment functions [3]; [4]; [5]. Distributed relational data basis are very well covered in the literature and they are not consequently in the focus of the article.…”

Section: Blockchain In Maritime Frameworkmentioning

confidence: 99%

Blockchain conceptual framework in shipping and port management

Bauk¹

2022

Maritime Transport Conference

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The purpose of the paper is to present a conceptual framework of blockchain (BC) deployment in shipping and port management, which encompasses distributed relational database (DB) and crypto-currency payment mechanism as main constructs. The core of the model is TradeLens platform. The document workflow management, financial processes and device connectivity are key scenarios in the proposed framework. The stakeholders play the role of traditional intermediaries in goods, accompanied data, and documents flows, including overall supervision of the processes between end-nodes, that is shippers (consignees) and customers (consumers). The paper identifies some strengthens and frailty of blockchain-based maritime supply chain system and proposes further investigation in this domain, towards better understanding prospective development of blockchain across maritime cluster.

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Thermal analysis of 9977 radioactive material package

Tam

Liu

2014

Packaging, Transport, Storage & Security of Radioactive Mat

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Extending intervals for periodic leakage rate testing of radioactive material transportation packagings

Cited by 4 publications

References 4 publications

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

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

Blockchain conceptual framework in shipping and port management

Thermal analysis of 9977 radioactive material package

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