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2025 ANS Winter Conference & Expo
November 8–12, 2025
Washington, DC|Washington Hilton
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DOE, NNSA select partners for AI supercomputers
The Department of Energy, Argonne National Laboratory, NVIDIA, and Oracle have agreed to a public-private partnership to deliver the DOE’s largest AI supercomputers, named Solstice and Equinox.
Makoto Senoh, Sakae Sugiyama, Masayoshi Sasaki
Nuclear Technology | Volume 72 | Number 3 | March 1986 | Pages 321-327
Technical Paper | Radiation Protection and Health Physics Practices and Experience in Operating Reactors Internationally / Nuclear Fuel | doi.org/10.13182/NT86-A33770
Articles are hosted by Taylor and Francis Online.
Lighting and image-processing techniques for automatic fuel-number recognition in boiling water reactors (BWRs) are described. High-contrast images of fuel numbers are obtained for various types of fuel subassemblies by introducing shallow-angle lighting. Moreover, high-quality binary-valued images can be obtained by multidirectional lighting and character reconstruction techniques. These techniques are experimentally confirmed using test subassemblies. The multidirectional lighting is verified to be superior to unidirectional lighting in terms of its recognition rate and its applicability to an automatic fuel-number recognition system for BWRs.