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Robotics & Remote Systems
The Mission of the Robotics and Remote Systems Division is to promote the development and application of immersive simulation, robotics, and remote systems for hazardous environments for the purpose of reducing hazardous exposure to individuals, reducing environmental hazards and reducing the cost of performing work.
Conference on Nuclear Training and Education: A Biennial International Forum (CONTE 2023)
February 6–9, 2023
Amelia Island, FL|Omni Amelia Island Resort
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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Nominations for national awards open for 2023 ANS Annual Meeting
Nominations for the 2023 Annual Meeting awards are now being accepted, through the deadline of March 1. Hash Hashemian, chair of the ANS Honors and Awards Committee, urged members in a letter posted online to nominate their peers: “Your nomination of highly qualified individuals is the key step in recognizing their contributions and ensuring that the ANS Honors and Awards Program is aware of their achievements.” The recipients of the national awards, listed below, will be honored at the 2023 ANS Annual Meeting in Indianapolis, Ind. Honorees will be notified of their selection by May.
12th Nuclear Plant Instrumentation, Control and Human-Machine Interface Technologies (NPIC&HMIT 2021)
Wednesday, June 16, 2021|12:00–1:45PM EDT
Graeme M. West
Jamie B. Coble
Ashley Jiminian (ANS)
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Automated Image Stitching of Down Channel Nuclear Reactor Fuel Channel Inspection Footage
Michael Devereux (Univ. of Strathclyde), Paul Murray (Univ. of Strathclyde), Graeme West (Univ. of Strathclyde)
Attachment — Bio
An Innovative Crack Detection Algorithm to Support Automated Inspection of Nuclear Reactor Cores
Efstathios Branikas (Univ. of Strathclyde), Paul Murray (Univ. of Strathclyde), Graeme West (Univ. of Strathclyde)
Machine Learning of Flash Thermography Images for Detection of Early Stage Fatigue in Martensitic Steel
Xin Zhang (Illinois Institute of Technology), Jafar Saniie (Illinois Institute of Technology), Thiago Seuaciuc-Osorio (Electric Power Research Institute), Sasan Bakhtiari (ANL), Alexander Heifetz (ANL)
Gaussian Process Ensemble for Corrosion Modeling and Prediction in Molten Salt Reactors
Elizabeth Sooby (Univ. of Texas San Antonio), Miltiadis Alamaniotis (Univ. of Texas at San Antonio), Alexander Heifetz (ANL)
Automated Generation of Training Dataset for Crack Detection in Nuclear Power Plant Components
Zhouxiang Fei (Univ. of Strathclyde), Graeme M. West (Univ. of Strathclyde), Paul Murray (Univ. of Strathclyde), Gordon Dobie (Univ. of Strathclyde)
Attachment — Updated version of the paper
Attachment — Biography
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