Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Ho-cheol Jeon"'
Autor:
Ho-Cheol Jeon, Jae-Young Jung
Publikováno v:
Korean Society For The Study Of Physical Education. 27:251-261
Autor:
Ho-Cheol Jeon, Bo-Jeong Kim
Publikováno v:
The Korean Journal of Growth and Development. 31:75-80
Autor:
Ho-Cheol Jeon, Soojeong Jang, Junghee Cho, Jong-Hyeon Kim, Rok-Soon Kim, Sa-Rah Park, Seung-Jin Kim
Publikováno v:
Journal of Astronomy and Space Sciences. 37:43-50
We have developed an algorithm for tracking coronal mass ejection (CME) propagation that allows us to estimate CME speed and its arrival time at Earth. The algorithm may be used either to forecast the CME’s arrival on the day of the forecast or to
Publikováno v:
The Journal of Korean Institute of Communications and Information Sciences. 45:428-436
Publikováno v:
Journal of KIISE. 46:1078-1087
Publikováno v:
Aligning Climate Change and Sustainable Development Policies in Asia ISBN: 9789811601347
Recently, South Korea announced it would make efforts to achieve net-zero emissions by 2050. Korea already has been working to reduce greenhouse gas (GHG) emissions with diverse policies and measures in many sectors. However, climate change is not th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1f1117bd1261db10aa47e243bbb75fa4
https://doi.org/10.1007/978-981-16-0135-4_5
https://doi.org/10.1007/978-981-16-0135-4_5
Autor:
Ho-Cheol Jeon, Hong-Yong Jung
Publikováno v:
Journal of Sport and Leisure Studies. 68:571-580
Publikováno v:
Advanced Materials Research. 601:394-400
Document similarity search is to retrieve a ranked list of similar documents and find documents similar to a query document in a text corpus or a web page on the web. But most of the previous researches regarding searching for similar documents are f
Autor:
Ho-Cheol Jeon, Joong-Min Choi
Publikováno v:
Journal of Korean Institute of Intelligent Systems. 21:86-99
Due to the uncertainty of intention recognition for behaviors of users, the intention is differently recognized according to the situation for the same behavior by the same user, the accuracy of user intention recognition by minimizing the uncertaint
Publikováno v:
IEICE Transactions on Information and Systems. :1440-1448
This paper proposes a proactive management system for the events that occur across multiple personal user devices, including desktop PCs, laptops, and smart phones. We implemented the Personal Event Management Service using Dynamic Bayesian Networks