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Division Spotlight
Human Factors, Instrumentation & Controls
Improving task performance, system reliability, system and personnel safety, efficiency, and effectiveness are the division's main objectives. Its major areas of interest include task design, procedures, training, instrument and control layout and placement, stress control, anthropometrics, psychological input, and motivation.
Meeting Spotlight
Conference on Nuclear Training and Education: A Biennial International Forum (CONTE 2025)
February 3–6, 2025
Amelia Island, FL|Omni Amelia Island Resort
Standards Program
The Standards Committee is responsible for the development and maintenance of voluntary consensus standards that address the design, analysis, and operation of components, systems, and facilities related to the application of nuclear science and technology. Find out What’s New, check out the Standards Store, or Get Involved today!
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Latest News
Article considers incorporation of AI into nuclear power plant operations
The potential application of artificial intelligence to the operation of nuclear power plants is explored in an article published in late December in the Washington Examiner. The article, written by energy and environment reporter Callie Patteson, presents the views of a number of experts, including Yavuz Arik, a strategic energy consultant.
Marzio Marseguerra, Enrico Zio
Nuclear Technology | Volume 126 | Number 3 | June 1999 | Pages 279-288
Technical Paper | Radiation | doi.org/10.13182/NT99-A2974
Articles are hosted by Taylor and Francis Online.
Although the use and disposal of radioactive materials are regulated by appropriate national and international agencies, the possibility that such materials could enter the recycling process as scrap cannot be overlooked. Several incidents in recent years have demonstrated that given the many varied uses of radioactive materials in modern industry and medicine, it is possible for these materials to find a way into a scrap processor's plant, where recycling may lead to internationally widespread contamination. This is a real problem that cannot be ignored.To the authors' knowledge, this problem has been tackled primarily on an experimental basis. A Monte Carlo approach to the modeling of a detection system for scrap-iron-loaded trucks is presented. The crucial point is the representation of system inhomogeneities, which inevitably introduces elements of uncertainty and subjectivity. Correspondingly, the results obtained, while physically reasonable, are such that their substance resides in the general behavior of the curves and in the orders of magnitude.To estimate detectability limits for real situations, both homogeneous and inhomogeneous loads are considered for various positions of shielded and unshielded gamma sources. A sensitivity analysis of the assumptions of the model has shown satisfactory results.