Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Ji Young Eum"'
Publikováno v:
Buildings, Vol 12, Iss 10, p 1636 (2022)
With the development of metering technologies, data mining techniques such as machine learning have been increasingly used for the prediction of building energy consumption. Among various machine learning methods, the KNN algorithm was implemented to
Externí odkaz:
https://doaj.org/article/3a3178e2916944858606d9c5f2eed8e4
Publikováno v:
Journal of The Korean Society of Living Environmental System. 29:604-612
Autor:
Ji-Young Eum, Yong-Ki Kim
Publikováno v:
Journal of the Korean Solar Energy Society. 42:115-125
Publikováno v:
Journal of the Korean Institute of Illuminating and Electrical Installation Engineers. 34:24-35
Publikováno v:
Journal of the Korean Solar Energy Society. 40:21-31
Autor:
Ji Eun Lee, Ju Hee Lee, Yeoung Kyun Kim, Man Ho Choi, Ji Young Eum, Jin Ju Lim, Eun Ji Park, Hyun Hee Kim
Publikováno v:
Physical Therapy Rehabilitation Science. 4:22-27
Objective: Jump training helps increase the muscle power by improving the muscle strength and reaction time of the muscle in operation. The purpose of this study was to identify the effects of strengthening, stretching exercise and meditation on elec
Publikováno v:
The Transactions of The Korean Institute of Electrical Engineers. 64:393-398
Autor:
Youngjun Ju, Hak-Sung Kim, Jinwoo Lee, Jungbae Kim, Jongmin Shim, Ji Young Eum, Sang Youn Hwang, Yunxian Piao
Publikováno v:
Chemical Communications. 50:3546
A highly sensitive immunoassay was developed by using antibody-conjugated spherical mesoporous silica with immobilized enzymes. The higher ratio of enzyme/antibody than conventional ELISA improved both the sensitivity and dynamic range. Especially, t