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Division Spotlight
Nuclear Installations Safety
Devoted specifically to the safety of nuclear installations and the health and safety of the public, this division seeks a better understanding of the role of safety in the design, construction and operation of nuclear installation facilities. The division also promotes engineering and scientific technology advancement associated with the safety of such facilities.
Meeting Spotlight
2024 ANS Winter Conference and Expo
November 17–21, 2024
Orlando, FL|Renaissance Orlando at SeaWorld
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!
Latest Magazine Issues
Sep 2024
Jan 2024
Latest Journal Issues
Nuclear Science and Engineering
October 2024
Nuclear Technology
Fusion Science and Technology
Latest News
INL readies new Sample Preparation Laboratory
Idaho National Laboratory has completed substantial construction of the first new hot cell facility at the lab site in 49 years—a Sample Preparation Laboratory (SPL) that will accelerate research, development, and qualification of structural nuclear materials for both existing and new nuclear reactors. In an announcement last week of the milestone and the ribbon-cutting ceremony held to mark it, INL said the SPL is expected to be fully operational in 2025.
12th Nuclear Plant Instrumentation, Control and Human-Machine Interface Technologies (NPIC&HMIT 2021)
Technical Session
Wednesday, June 16, 2021|4:30–6:15PM EDT
Session Chair:
Gyunyoung Heo
Alternate Chair:
Jamie B. Coble
Session Organizer:
Staff Producer:
Ashley Jiminian (ANS)
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Detecting Fire with Machine Learning-Enabled Visual Monitoring for Nuclear Power Plant Environments
L. Michael Griffel (INL), Brian Wilcken (INL), Ahmad Al Rashdan (INL), Roger Boza (INL)
Paper
Sensor Degradation Detection Using Visual Timeseries and Deep Convolutional Neural Networks
C. J. Wallace (Univ. of Strathclyde), S.D.J. McArthur (Univ. of Strathclyde)
Monitoring of Thermal Mixing Tee Sensors with LSTM Neural Networks
Victoria Ankel (ANL), Stella Pantopoulou (ANL), Matthew Weathered (ANL), Darius Lisowski (ANL), Anthonie Cilliers (Kairos Power), Alexander Heifetz (ANL)
Object Detection in a Framework for Automated Nuclear Waste Classification
Seonaid Hume (Univ. of Strathclyde), Gordon Dobie (Univ. of Strathclyde), Graeme West (Univ. of Strathclyde)
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