Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Kichang Kim"'
Autor:
Jihun Ahn, HyeYon Yu, Seung-Woon Rha, Byoung Geol Choi, Dong Oh Kang, Cheol Ung Choi, Sangho Park, Jon Seo, Kichang Kim, Minung Kim, Yong Hoon Kim, Yong Seong Seo
Publikováno v:
PLoS ONE, Vol 18, Iss 11, p e0294132 (2023)
This prospective, multicenter, randomized study aimed to compare the 1-year clinical outcomes after primary stenting with self-expanding bare metal nitinol stent (SENS) and plain old balloon angioplasty (POBA) in patients with critical limb ischemia
Externí odkaz:
https://doaj.org/article/6751793711c74793bf792a30788e59fe
Publikováno v:
IEEE Access, Vol 8, Pp 48503-48514 (2020)
In the forthcoming era of IoT, where everything will be connected, mobile devices will play a key role in providing data sharing and user-centric services between devices. In such a service environment, if a mobile application is vulnerable to securi
Externí odkaz:
https://doaj.org/article/ecafabbb440541baafc0ede16b9acdfd
Autor:
Sangbong Yoo, Kichang Kim
Publikováno v:
Wireless Personal Communications. 128:1895-1906
Publikováno v:
Journal of Family and Economic Issues.
Autor:
May Jorella Lazaro, Sungho Kim, Minsik Choi, Kichang Kim, Dongchul Park, Soyoun Moon, Myung Hwan Yun
Publikováno v:
Journal of the Audio Engineering Society. 70:294-304
Numerical Analysis of Heat Transfer on the Linear Turbine Endwall and Comparison with the Experiment
Publikováno v:
The KSFM Journal of Fluid Machinery. 20:43-48
Publikováno v:
Computer Vision – ECCV 2016 ISBN: 9783319464862
ECCV (3)
ECCV (3)
3D shape reconstruction with multi-view stereo (MVS) relies on a robust evaluation of photo consistencies across images. The robustness is ensured by isolating surface albedo and scene illumination from the shape recovery, i.e. shading and colour var
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::062ca84020f00f6d602ceeb35675c8a3
https://doi.org/10.1007/978-3-319-46487-9_46
https://doi.org/10.1007/978-3-319-46487-9_46
Publikováno v:
ICCV Workshops
In this paper we propose a method for joint estimation of depth, reflectance and illumination from a single RGB-D image for depth refinement. This is achieved by a simple optimization based approach with smoothness constraints on depth, reflectance a
Publikováno v:
Mobile Information Systems; 1/10/2016, p1-13, 13p
Publikováno v:
Sound & Vibration; Sep2015, Vol. 49 Issue 9, p8-11, 4p, 1 Color Photograph, 2 Diagrams, 1 Chart, 2 Graphs