Zobrazeno 1 - 10
of 355
pro vyhledávání: '"Sunwoo KIM"'
Publikováno v:
Alexandria Engineering Journal, Vol 111, Iss , Pp 482-490 (2025)
This paper presents a novel approach to enhancing the isolation of adaptive array antennas. The primary focus is on overcoming the limitations of monopole antennas in adaptive array antennas, specifically addressing the challenges posed by mutual cou
Externí odkaz:
https://doaj.org/article/047ef620d6654da690586f8cb6de0641
Publikováno v:
ICT Express, Vol 10, Iss 4, Pp 831-835 (2024)
This paper proposes a method for characterizing user mobility levels in multiple unmanned aerial vehicles (UAV)-assisted networks. In a dynamic environment with varying degrees of mobile ground users, optimizing the placement of UAVs is important in
Externí odkaz:
https://doaj.org/article/5bd0ed180dca4b63881e48837f2a766c
Publikováno v:
ICT Express, Vol 9, Iss 6, Pp 1128-1132 (2023)
In this paper, we propose a deep reinforcement learning (DRL) based unmanned aerial vehicles (UAV)-assisted trajectory optimization for ultra-dense small cell networks. We assume that each UAV is equipped with a sensing radio to obtain distance infor
Externí odkaz:
https://doaj.org/article/ca47ddc36a7344c0859136aabf2c2336
Publikováno v:
Chemical and Biological Technologies in Agriculture, Vol 10, Iss 1, Pp 1-21 (2023)
Abstract Ozonated water (OW) is now being recognized as an innovative and eco-friendly solution for managing plant growth while also promoting the production of bioactive compounds and essential plant metabolites. This study aimed to identify the mos
Externí odkaz:
https://doaj.org/article/41dab8a2ecb94d468501c0290382dfc9
Publikováno v:
ICT Express, Vol 9, Iss 4, Pp 548-555 (2023)
This paper presents a tutorial on Deep Learning (DL) with Federated Learning (FL)-based indoor localization method for non-Independently and Identically Distributed (non-IID) fingerprinting databases. To this end, this paper explains systematic appro
Externí odkaz:
https://doaj.org/article/8d2256e452e54ad88bd999e8fced0ce9
Autor:
Sun Woong Kim, Sunwoo Kim, Dongik Shin, Jae Hyeong Choi, Jung Sub Sim, Seungjun Baek, Joon Shik Yoon
Publikováno v:
BMC Musculoskeletal Disorders, Vol 24, Iss 1, Pp 1-8 (2023)
Abstract Background In case of focal neuropathy, the muscle fibers innervated by the corresponding nerves are replaced with fat or fibrous tissue due to denervation, which results in increased echo intensity (EI) on ultrasonography. EI analysis can b
Externí odkaz:
https://doaj.org/article/385284e76acc483b8f814107b22a4f9a
Publikováno v:
Diagnostics, Vol 14, Iss 14, p 1464 (2024)
Purpose: To investigate the effects of intra-articular glenohumeral joint triamcinolone injection in treating secondary adhesive capsulitis after breast cancer surgery. Methods: This study prospectively enrolled 37 participants, including 22 in the b
Externí odkaz:
https://doaj.org/article/0efc3456913c407da2a00cadb3d39869
Autor:
Sunwoo Kim, Su Jin Yang
Publikováno v:
PLoS ONE, Vol 19, Iss 6, p e0304989 (2024)
Global fashion brands have embraced size-inclusive advertising featuring plus-size models, yet the responses of Asian consumers to such advertising-where the average body size of women is smaller than in Western markets-have garnered little attention
Externí odkaz:
https://doaj.org/article/423f3f52d8e64ab28717ee69aecc9b97
Publikováno v:
IEEE Access, Vol 11, Pp 142276-142291 (2023)
This paper presents an approach for enhancing indoor localization accuracy using a hybrid quantum deep neural network model (H-QDNN). To improve the accuracy of indoor localization based on contemporary techniques, we employ the combined strengths of
Externí odkaz:
https://doaj.org/article/512838cbf6bb48e3987c35231b34bd28
Autor:
Sunwoo Kim
Publikováno v:
Fashion and Textiles, Vol 9, Iss 1, Pp 1-28 (2022)
Abstract While numerous sociopsychological factors affect one’s acceptance of cosmetic surgery, little is known about the sociopsychological influences that lead to cosmetic surgery acceptance based on one’s prior experience with cosmetic surgery
Externí odkaz:
https://doaj.org/article/5fa5382e7d634805b9f72da8e02067e6