Zobrazeno 1 - 10 of 80 pro vyhledávání: '"Eui-young Cha"'
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Akademický článek
Handwritten Signature Generation Using Denoising Diffusion Probabilistic Models with Auxiliary Classification Processes
Autor: Dong-Jin Hong, Won-Du Chang, Eui-Young Cha
Publikováno v: Applied Sciences, Vol 14, Iss 22, p 10233 (2024)
Automatic signature verification has been widely studied for authentication purposes in real life, but limited data availability still poses a significant challenge. To address this issue, we propose a method with a denoising diffusion probabilistic
Externí odkaz: https://doaj.org/article/ea148e44adee4aed8ad63c35936ed340
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2
Prediction of critical heat flux for narrow rectangular channels in a steady state condition using machine learning
Autor: Eui-Young Cha, Huiyung Kim, Dong-jin Hong, Byong-Jo Yun, Jeongmin Moon
Publikováno v: Nuclear Engineering and Technology, Vol 53, Iss 6, Pp 1796-1809 (2021)
The subchannel of a research reactor used to generate high power density is designed to be narrow and rectangular and comprises plate-type fuels operating under downward flow conditions. Critical heat flux (CHF) is a crucial parameter for estimating
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4e5feb11be2599d3fd099c27b09a6514
https://doi.org/10.1016/j.net.2020.12.007
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7
An Improved Adaptive Binarization Algorithm Based on Fuzzy Logic
Autor: Kwang Baek Kim, Ho Chang Lee, Hyun Jun Park, Eui-Young Cha
Publikováno v: International Journal of Software Engineering and Its Applications. 10:1-8
Image binarization is divided into global algorithm and local algorithm. Global binarization algorithms have a problem to describe objects that have similar brightness with a single threshold. Local binarization algorithms make boundary lines because
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::dd39756c726e776fbd971e06f0eb3591
https://doi.org/10.14257/ijseia.2016.10.10.01
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10
An Effective Color Quantization Method Using Octree-Based Self-Organizing Maps
Autor: Hyun Jun Park, Kwang Baek Kim, Eui-Young Cha
Publikováno v: Computational Intelligence and Neuroscience
Computational Intelligence and Neuroscience, Vol 2016 (2016)
Color quantization is an essential technique in color image processing, which has been continuously researched. It is often used, in particular, as preprocessing for many applications. Self-Organizing Map (SOM) color quantization is one of the most e
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cd44b4c3fe6ea5d6768ffab4954fa73f
https://doi.org/10.1155/2016/5302957
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