Zobrazeno 1 - 10
of 44
pro vyhledávání: '"Dong Seok Kang"'
Publikováno v:
Pharmaceuticals, Vol 17, Iss 4, p 471 (2024)
For many years, sustained-release drug delivery systems (SRDDS) have emerged as a featured topic in the pharmaceutical field. Particularly for chronic diseases, such as osteoarthritis, there is a lot of demand for SRDDS because of the long treatment
Externí odkaz:
https://doaj.org/article/74a3aaadb57c422d8ae0cf717cfbaa6d
Autor:
Jae Hyang Lee, Dong Seok Kang, Sang Hoon Kim, Min-Jung Son, Jae Won Choi, Dae Keun Choi, Joon-Phil Choi, Clodualdo Aranas, Jr.
Publikováno v:
Journal of Materiomics, Vol 4, Iss 4, Pp 390-401 (2018)
A flexible electromagnetic interference (EMI) shielding film was innovatively fabricated using both low melting temperature solder arrays and amorphous soft magnet particulates consolidated on a polyethylene terephthalate (PET) substrate. First, the
Externí odkaz:
https://doaj.org/article/4850ebe29997468bbabb00fc3614cf94
Autor:
Woongbeom Heogh, Si Mo Yeon, Dong-Seok Kang, Seonghwan Park, Seongjun Park, Kwanho Ryu, Juhyun Sun, Leecheol Ji, Yong Son, Kyunsuk Choi, Cheol Woo Ha
Publikováno v:
Materials & Design, Vol 222, Iss , Pp 111088- (2022)
This study proposes an eco-friendly (ECO) mold that is fabricated using the laser powder bed fusion (LPBF) method, which utilizes a three-dimensional (3D) cooling channel. Unlike previous studies, we designed surface-type conformal cooling channels (
Externí odkaz:
https://doaj.org/article/1150b59ad98747aa98fe0cb76ded41b9
Autor:
Yu Jin Kim, Dong Seok Kang
Publikováno v:
Journal of Korean Society for Geospatial Information Science. 30:21-29
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ef8f3f15b1d01452fa3ca9c81fdaa445
https://doi.org/10.7319/kogsis.2022.30.2.021
https://doi.org/10.7319/kogsis.2022.30.2.021
Publikováno v:
Korean Ancient Historical Society. 115:59-82
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5203eced7f07f7d09f9ce2246289163c
https://doi.org/10.18040/sgs.2022.115.59
https://doi.org/10.18040/sgs.2022.115.59
Autor:
Shim Patrick Yongshig, Jisu Han, Jeongho Yang, Sang-Hu Park, Donghwan Kang, Simo Yeon, Yong Son, Pyoungho Choi, Dong Seok Kang, Cheol-Woo Ha
Publikováno v:
Journal of the Korean Society for Precision Engineering. 38:659-666
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b8b9e250151ce65fac4818e1b1fe08f1
https://doi.org/10.7736/jkspe.021.060
https://doi.org/10.7736/jkspe.021.060
Autor:
Yoon Sang Jeon, Myung Ku Kim, Dae Gyu Kwon, Sung-Sahn Lee, Joo Won Park, Dong Seok Kang, Dong Jin Ryu
Publikováno v:
International orthopaedics. 47(1)
This study aimed to evaluate the infection control rate of palliative arthroscopic debridement, antibiotics, and implant retention (DAIR) for the high mortality risk or terminal cancer stage patients.From March 2018 to August 2021, 21 patients met th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5c279d02144f8c18520366eb43093d0b
https://pubmed.ncbi.nlm.nih.gov/36401020
https://pubmed.ncbi.nlm.nih.gov/36401020
Autor:
Dong-seok Kang, Kee-Won Kwon
Publikováno v:
2022 37th International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::00f7d5615979c5c819df201d543a69fb
https://doi.org/10.1109/itc-cscc55581.2022.9895021
https://doi.org/10.1109/itc-cscc55581.2022.9895021
Publikováno v:
Energies, Vol 12, Iss 2, p 211 (2019)
An output capacitor-less low-dropout (OCL-LDO) regulator with a wide range of load currents is proposed in this study. The structure of the proposed regulator is based on the flipped-voltage-follower LDO regulator. The feedback loop of the proposed r
Externí odkaz:
https://doaj.org/article/7ddb4b9fc6be45609f40b82a668f2f7e
PIMCaffe: Functional Evaluation of a Machine Learning Framework for In-Memory Neural Processing Unit
Publikováno v:
IEEE Access, Vol 9, Pp 96629-96640 (2021)
The large amount of memory usage in recent machine learning applications imposes a significant system burden with respect to power and processing speed. To cope with such a problem, Processing-In-Memory (PIM) techniques can be applied as an alternati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::23bb95d4d11da89d18d950aeb24a61b5
https://ieeexplore.ieee.org/document/9469808/
https://ieeexplore.ieee.org/document/9469808/