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Youngsun Jang, Kwanghee Won, Hyung-do Choi and Sung Y. Shin
This study compares the performance of graph convolutional neural network (GCN) models with conventional natural language processing (NLP) models for classifying scientific literature related to radio frequency electromagnetic field (RF-EMF). Specificall...
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Stepan Yaramyshev, Winfried Barth, Simon Lauber, Maksym Miski-Oglu, Anna Rubin, Uwe Scheeler, Hartmut Vormann and Markus Vossberg
Numerous ambitious particle accelerator facilities, based on proton and ion linear accelerators, have recently been in development for fundamental research, as well as for industrial applications. The advanced design of such new machines, as well as the ...
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Joanna Wyszkowska, Justyna Maliszewska and Piotr Gas
(1) Background: The growing ubiquity of electromagnetic fields (EMF) due to rapid technological progress raises concerns about potential health implications. While laboratory experiments have generated inconclusive findings about adverse effects, EMFs ha...
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Tongben Wang, Zhifei Ma, Jingming Jiang and Qi Chen
The electric transmission failure induced by the electrostatic migration and deposition of the friction-pair-produced abrasive dusts in the Solar Array Drive Assembly (SADA) is studied for the first time by integrating experiments and Finite Element Meth...
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Zhangbin Wu, Hongbai Bai, Guangming Xue and Zhiying Ren
A magnetic field induced by an electromagnetic coil is the key variable that determines the performance of a magnetically driven actuator. The applicability of the empirical models of the coil turns, static resistance, and inductance were discussed. Then...
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