Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Youngyun Woo"'
Autor:
Yoon-Uk Heo, Chang-Gon Jeong, Soo-Hyun Kim, Gun-Young Yoon, T. T. T. Trang, Youngyun Woo, Eun Yoo Yoon, Young-Seon Lee
Publikováno v:
Applied Microscopy, Vol 52, Iss 1, Pp 1-10 (2022)
Abstract An electron probe X-ray microanalyzer (EPMA) is an essential tool for studying chemical composition distribution in the microstructure. Quantifying chemical composition using standard specimens is commonly used to determine the composition o
Externí odkaz:
https://doaj.org/article/748e914b94e74bf3929177022a4a3d6d
Publikováno v:
Advances in Mechanical Engineering, Vol 11 (2019)
A three-dimensional finite element model for the selective laser melting process was developed to analyze the melting behavior of WC-reinforced H13 steel composite powder. In this model, convection and radiation on the external surface during laser i
Externí odkaz:
https://doaj.org/article/3e7e2aa856aa4b518e8dec8496ff5b12
Autor:
Seungmin Woo, Woojin Choi, Jaekyung Shin, Yifei Chen, Youngchan Choi, Sooncheol Bae, Hyungjin Jeon, Youngyun Woo, Youngoo Yang
Publikováno v:
Journal of Electromagnetic Engineering & Science; Jul2024, Vol. 24 Issue 4, p401-410, 10p
Publikováno v:
Signal Processing. 177:107736
In this study, we propose a two-step approach for direct-learning-architecture (DLA) based digital predistortion (DPD) using an integrated neural network. Because solutions to the DLA-based DPD cannot be obtained in closed form, an iterative search,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d6b56cb44573299ba79b6cf6782a6256
https://doi.org/10.1016/j.sigpro.2020.107736
https://doi.org/10.1016/j.sigpro.2020.107736