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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.
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ANS Student Conference 2025
April 3–5, 2025
Albuquerque, NM|The University of New Mexico
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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Fusion Science and Technology
Latest News
First astatine-labeled compound shipped in the U.S.
The Department of Energy’s National Isotope Development Center (NIDC) on March 31 announced the successful long-distance shipment in the United States of a biologically active compound labeled with the medical radioisotope astatine-211 (At-211). Because previous shipments have included only the “bare” isotope, the NIDC has described the development as “unleashing medical innovation.”
Mahmood Ul Hassan, Peng Fu, Zhiquan Song, Humayun Muhammad, Li Hua, Xiuqing Zhang
Fusion Science and Technology | Volume 75 | Number 4 | May 2019 | Pages 299-307
Technical Paper | doi.org/10.1080/15361055.2019.1565732
Articles are hosted by Taylor and Francis Online.
This paper presents a novel technique using a shunt active power filter (SAPF) control strategy to reduce the harmonics generated by the power converter. A three-phase SAPF using the Takagi Sugeno (TS) fuzzy technique is used to reduce current distortion. The proposed TS fuzzy controller is a suitable candidate using SAPF techniques. In order to realize an acceptable distortion limit, TS fuzzy control uses SAPF to realize the performance of the system. The simulation results validate the proposed fuzzy control strategy by a Matlab/Simulink model.