Zobrazeno 1 - 10 of 14 pro vyhledávání: '"Hyungbin Kim"'
1
Akademický článek
Investigation on mussel periostracum, a viscoelastic-to-poro-gel graded material, as an interface between soft tissue and rigid materials
Autor: Hyungbin Kim, Heejin Lim, Sangsik Kim, Jun Mo Koo, Chanoong Lim, Hojung Kwak, Dongyeop X. Oh, Dong Soo Hwang
Publikováno v: NPG Asia Materials, Vol 16, Iss 1, Pp 1-13 (2024)
Abstract Mussel periostracum, a nonliving multifunctional gel that covers the rigid inorganic shells of mussels, provides protection against mechanical impacts, biofouling, and corrosion in harsh ocean environments. The inner part of the periostracum
Externí odkaz: https://doaj.org/article/9f186080848a44008fff2b361087ffdd
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2
Akademický článek
K-FL: Kalman Filter-Based Clustering Federated Learning Method
Autor: Hyungbin Kim, Byungchan Kim, Yongho Kim, Cheolwoo You, Hyunhee Park
Publikováno v: IEEE Access, Vol 11, Pp 36097-36105 (2023)
Federated learning is a distributed machine learning framework that enables a large number of devices to cooperatively train a model without data sharing. However, because federated learning trains a model using non-independent and identically distri
Externí odkaz: https://doaj.org/article/6e2c444fe0024ab6af3ecdd3380bdd36
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4
Akademický článek
Fairness-Based Multi-AP Coordination Using Federated Learning in Wi-Fi 7
Autor: Gimoon Woo, Hyungbin Kim, Seunghyun Park, Cheolwoo You, Hyunhee Park
Publikováno v: Sensors, Vol 22, Iss 24, p 9776 (2022)
Federated learning is a type of distributed machine learning in which models learn by using large-scale decentralized data between servers and devices. In a short-range wireless communication environment, it can be difficult to apply federated learni
Externí odkaz: https://doaj.org/article/0c7a2aa02e7c4ed29299a6d8b3f7fe56
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5
Akademický článek
Upper Critical Solution Temperature (UCST) Behavior of Coacervate of Cationic Protamine and Multivalent Anions
Autor: Hyungbin Kim, Byoung-jin Jeon, Sangsik Kim, YongSeok Jho, Dong Soo Hwang
Publikováno v: Polymers, Vol 11, Iss 4, p 691 (2019)
Complex coacervation is an emerging liquid/liquid phase separation (LLPS) phenomenon that behaves as a membrane-less organelle in living cells. Yet while one of the critical factors for complex coacervation is temperature, little analysis and researc
Externí odkaz: https://doaj.org/article/d434d5f057344bf986edf569d1364e35
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9
Anti-Biofouling Features of Eco-Friendly Oleamide–PDMS Copolymers
Autor: Myeong Ryun Seong, Dohoon Lee, Ji Woong Lee, Gwang Hoon Kim, Dong Soo Hwang, Hyungbin Kim, Sang Joon Lee, Ji-Won Park, Eunseok Seo, Jiho Kim, Hyundo Hwang, Heejin Lim
Publikováno v: ACS Omega
ACS Omega, Vol 5, Iss 20, Pp 11515-11521 (2020)
The biofouling of marine organisms on a surface induces serious economic damage. One of the conventional anti-biofouling strategies is the use of toxic chemicals. In this study, a new eco-friendly oleamide-PDMS copolymer (OPC) is proposed for sustain
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2e11efd53f972b90e8b1bbb92f803748
http://europepmc.org/articles/PMC7254802
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10
Reducing Model Cost Based on the Weights of Each Layer for Federated Learning Clustering
Autor: Hyungbin Kim, Hyunhee Park, Yongho Kim
Publikováno v: 2021 Twelfth International Conference on Ubiquitous and Future Networks (ICUFN).
Federated Learning (FL) has a different learning framework from existing machine learning, which had to centralize training data. Federated learning has the advantage of protecting privacy because learning is performed on each client device rather th
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ed9bfce54b6444f8bbbf5d8ae5316518
https://doi.org/10.1109/icufn49451.2021.9528575
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