Zobrazeno 1 - 10
of 920
pro vyhledávání: '"YO Kim"'
Autor:
Woonseon Jung, Joo Wan Cha, A.-Reum Ko, Sanghee Chae, Yonghun Ro, Hyun Jun Hwang, Bu-Yo Kim, Jung Mo Ku, Ki-Ho Chang, Chulkyu Lee
Publikováno v:
Advances in Meteorology, Vol 2022 (2022)
This study applies a novel cloud seeding method using an unmanned aerial vehicle (UAV) and a research aircraft in Korea. For this experiment, the UAV sprayed a cloud seeding material (calcium chloride), and the aircraft monitored the clouds in the so
Externí odkaz:
https://doaj.org/article/732310407a3a481098f5868adaae490d
Publikováno v:
International Journal of Concrete Structures and Materials, Vol 12, Iss 1, Pp 1-12 (2018)
Abstract If reinforced concrete columns and walls in high-rise buildings are subjected to axial load for a sustained duration, long-term lateral deformation (or curvature) as well as axial shortening increase over time due to the creep and shrinkage
Externí odkaz:
https://doaj.org/article/dedac2ee60b94af78796a67e503cace6
Autor:
Seong-Hyeon Choi, Jae-Yo Kim
Publikováno v:
Journal of the Computational Structural Engineering Institute of Korea. 36:85-92
Autor:
Jin-Taek Lee, Jae-Yo Kim
Publikováno v:
Journal of Coaching Development. 25:62-70
Publikováno v:
Sports Science. 40:453-458
Autor:
Joo Wan Cha, Hae Jung Koo, Bu-Yo Kim, Belorid Miloslav, Hyun Jun Hwang, Min Hoo Kim, Ki-Ho Chang, Yong Hee Lee
Publikováno v:
Asia-Pacific Journal of Atmospheric Sciences. 59:257-269
Raindrop size distribution (DSD) is an important parameter in rainfall research and can be used for quantitative precipitation estimation (QPE) in meteorology and hydrology. DSD also improves the understanding of the uncertainty of cloud microphysica
Publikováno v:
Weather and Forecasting. 37:2263-2274
Accurate visibility prediction is imperative in the interests of human and environmental health. However, the existing numerical models for visibility prediction are characterized by low prediction accuracy and high computational cost. Thus, in this
Autor:
Seong-Hyeon Choi, Jea-Yo Kim
Publikováno v:
Journal of the Computational Structural Engineering Institute of Korea. 35:235-242
Publikováno v:
Atmosphere, Vol 12, Iss 5, p 552 (2021)
In this study, the visibility of South Korea was predicted (VISRF) using a random forest (RF) model based on ground observation data from the Automated Synoptic Observing System (ASOS) and air pollutant data from the European Centre for Medium-Range
Externí odkaz:
https://doaj.org/article/951796abe6094b539fd6e8e67b056c3b
Autor:
Jae-Yo Kim, Gyeong-Chan Kim
Publikováno v:
Journal of the Computational Structural Engineering Institute of Korea. 35:119-129