Zobrazeno 1 - 10 of 60 pro vyhledávání: '"A-Reum Choi"'
1
Akademický článek
Silk sericin-based functional food for osteoporosis prevention and therapy
Autor: Xian Jin, Xiangguo Che, Dong-Kyo Lee, Ying Cui, Poo-Reum Choi, Hyun-Ju Kim, Ji Hae Lee, HaeYong Kweon, Seong-Gon Kim, Je-Yong Choi
Publikováno v: Journal of Functional Foods, Vol 116, Iss , Pp 106148- (2024)
The development of new functional foods that can potentially reduce the risk of diseases, such as osteoporosis, has received increasing attention in recent years. Here we demonstrated that silk sericin-based functional food (SSBF) exerted preventive
Externí odkaz: https://doaj.org/article/e27b4e53a9414c338da54f804617aa28
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2
Akademický článek
The Impact of Privacy Control on Users' Intention to Use Smart Home Internet of Things (IoT) Services
Autor: Mingyung Kim, Bo Reum Choi
Publikováno v: Asia Marketing Journal, Vol 24, Iss 1, Pp 29-38 (2022)
Despite the diverse benefits of smart home Internet of Things (IoT) services, the biggest obstacle to the actual usage of those services is concern about privacy. However, little research has investigated the impact of privacy control on users' inten
Externí odkaz: https://doaj.org/article/ffce065111bc493ba769435cd8b6ef95
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3
Akademický článek
An evolutionary optimization of a rhodopsin-based phototrophic metabolism in Escherichia coli
Autor: Hyun Aaron Kim, Hyun Ju Kim, Jihoon Park, Ah Reum Choi, Kyoo Heo, Haeyoung Jeong, Kwang-Hwan Jung, Yeong-Jae Seok, Pil Kim, Sang Jun Lee
Publikováno v: Microbial Cell Factories, Vol 16, Iss 1, Pp 1-9 (2017)
Abstract Background The expression of the Gloeobacter rhodopsin (GR) in a chemotrophic Escherichia coli enables the light-driven phototrophic energy generation. Adaptive laboratory evolution has been used for acquiring desired phenotype of microbial
Externí odkaz: https://doaj.org/article/c63f73b507514799957c4e6b01d0e3c4
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5
SAR Recognition of Target Variants Using Channel Attention Network without Dimensionality Reduction
Autor: Ji-Hoon Park, Yeo-Reum Choi, Dae-Young Chae, Ho Lim
Publikováno v: Journal of the Korea Institute of Military Science and Technology. 25:219-230
In implementing a robust automatic target recognition(ATR) system with synthetic aperture radar(SAR) imagery, one of the most important issues is accurate classification of target variants, which are the same targets with different serial numbers, co
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::978dc05e050df4d44eb5120ef9b6b489
https://doi.org/10.9766/kimst.2022.25.3.219
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7
A Dataset of Ground Vehicle Targets from Satellite SAR Images and Its Application to Detection and Instance Segmentation
Autor: JI-Hoon Park, Yeo-Reum Choi, Dae-Young Chae, Ho Lim, Ji Hee Yoo
Publikováno v: Journal of the Korea Institute of Military Science and Technology. 25:30-44
The advent of deep learning-based algorithms has facilitated researches on target detection from synthetic aperture radar(SAR) imagery. While most of them concentrate on detection tasks for ships with open SAR ship datasets and for aircraft from SAR
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d7f3ef6519d442d122f4e0932749f3d4
https://doi.org/10.9766/kimst.2022.25.1.030
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