Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Kang-Hoon Yoon"'
Autor:
Jaegun Lee, Ju-Young Choi, Junhwan Jang, Sechang Park, Gyumin Ji, Seung-Hyun Lee, Dam-Bi Kim, Kang-Hoon Yoon, Chan-Moon Chung, Soohaeng Cho
Publikováno v:
Nanomaterials, Vol 12, Iss 9, p 1457 (2022)
Graphene oxide-cysteamine-silver nanoparticle (GCA)/silver nanowire (AgNW)/GCA/colorless poly(amide-imide) (cPAI) structures based on cPAI substrates with polyimide and polyamide syntheses were fabricated to study their characteristics. A layer of el
Externí odkaz:
https://doaj.org/article/d0f05d47974545249ed7bbc7274a126d
Autor:
Seung-Won Jin, Yu-Ji Jin, Yun-Je Choi, Dam-Bi Kim, Kang-Hoon Yoon, Hyun-Woo Kim, Chan-Moon Chung
Publikováno v:
Composites Part A: Applied Science and Manufacturing. 166:107396
Autor:
Yun-Je Choi, Ju-Hee Ko, Seung-Won Jin, Kang-Hoon Yoon, Hyunsoo An, Chan-Moon Chung, Hyun Woo Kim, Dam-Bi Kim
Publikováno v:
Polymers; Volume 13; Issue 23; Pages: 4100
Polymers
Polymers, Vol 13, Iss 4100, p 4100 (2021)
Polymers
Polymers, Vol 13, Iss 4100, p 4100 (2021)
We herein report transparent self-cleaning coatings based on polyimide-fluorinated silica sol (PIFSS) nanocomposite. Polyamic acid-silica sol (PASS) suspensions were synthesized by adding four different amounts of a silica sol suspension to each end-
Autor:
Tae-Gyun Kim, Kang-Hoon Yoon
Publikováno v:
Journal of Korea Water Resources Association. 40:523-532
It has been operated since 1974, recently, the flood forecasting and warning system is applied in almost all the rivers in Korea, and the Storage Function Method (SFM) is used for flood routing. The SFM which was presented by Toshimitsu Kimura (1961)
Autor:
Shin, Hyun-Suk, Kang-Hoon Yoon
Publikováno v:
Journal of Korea Water Resources Association. 37:233-240
수자원 분야에서 대부분의 수문해석은 강우자료의 수집 및 분석으로부터 시작되며, 지점 강우량으로부터의 면적 평균강우량 추정 및 결측치에 대한 자료보완 기법은 여러 가지가 있다. 이
Publikováno v:
Journal of Korea Water Resources Association. 37:145-154
The purpose of this study is to develop a real-time forecasting model in order to predict the flood runoff which has the nature of non-linearity and to verify applicability of neural network model for flood warning system. Developed model based on ne
Publikováno v:
Critical Transitions in Water and Environmental Resources Management.
The purpose of this study is to develop a real-time flood forecasting model in order to predict the flood runoff having nature of non-linearity and to verify applicability of neural network model for large river basin. Developed model in this study,