Zobrazeno 1 - 10
of 335
pro vyhledávání: '"Joongheon Kim"'
Publikováno v:
IEEE Access, Vol 12, Pp 111322-111333 (2024)
Cloud computing has revolutionized information technology (IT) infrastructure by providing benefits such as scalability, flexibility, and convenience. If the radio access networks of wireless systems are constructed on edge clouds, operators can obta
Externí odkaz:
https://doaj.org/article/887bd0b55eec4a9e8c2bb7deb2081c65
Publikováno v:
IEEE Access, Vol 12, Pp 54732-54744 (2024)
A metaverse is composed of a physical-space and virtual-space, with the aim of having users in both the virtual reality and the real world experience. Prioritization is essential, but it is not straight-forwarded due to the limitation of computing re
Externí odkaz:
https://doaj.org/article/a83e6ccb25e1464695033411325f25ce
Publikováno v:
IEEE Access, Vol 12, Pp 58239-58247 (2024)
Recent advances in low Earth orbit (LEO) satellites have made it possible to achieve zero blind spots on Earth. Considering the give locations of these devices, this makes satellite-ground links between quantum devices a practical possibility. This p
Externí odkaz:
https://doaj.org/article/28999ad127c64bfc9118e05380fac8cf
Publikováno v:
ETRI Journal, Vol 45, Iss 5, Pp 735-745 (2023)
This paper surveys recent multiagent reinforcement learning and neural Myerson auction deep learning efforts to improve mobility control and resource management in autonomous ground and aerial vehicles. The multiagent reinforcement learning communica
Externí odkaz:
https://doaj.org/article/763c80eff2114b0aa5fb4fe6c22a15c8
Publikováno v:
ETRI Journal, Vol 45, Iss 5, Pp 731-734 (2023)
Externí odkaz:
https://doaj.org/article/8fbb6ed1eff24138a01173d1402b67ac
Publikováno v:
ETRI Journal, Vol 45, Iss 5, Pp 811-821 (2023)
We propose an adaptive unmanned aerial vehicle (UAV)-assisted object recognition algorithm for urban surveillance scenarios. For UAV-assisted surveillance, UAVs are equipped with learning-based object recognition models and can collect surveillance i
Externí odkaz:
https://doaj.org/article/f0e222aa380b412ca2bfd939a5ede686
Autor:
Yunseok Kwak, Won Joon Yun, Jae Pyoung Kim, Hyunhee Cho, Jihong Park, Minseok Choi, Soyi Jung, Joongheon Kim
Publikováno v:
ICT Express, Vol 9, Iss 3, Pp 486-491 (2023)
Although deep learning (DL) has already become a state-of-the-art technology for various data processing tasks, data security and computational overload problems often arise due to their high data and computational power dependency. To solve this pro
Externí odkaz:
https://doaj.org/article/636e228595e04231b713f26c6b87b245
Publikováno v:
Electronics Letters, Vol 59, Iss 24, Pp n/a-n/a (2023)
Abstract In many deep neural network (DNN) applications, the difficulty of gathering high‐quality data in industry fields hinders the practical use of DNN. Thus, the concept of transfer learning (TL) has emerged, which leverages the pretrained know
Externí odkaz:
https://doaj.org/article/1f1082f12d3246169ceaf3edfc3f8c6f
Publikováno v:
IEEE Open Journal of the Computer Society, Vol 4, Pp 243-252 (2023)
Real-time volumetric contents streaming on augmented reality (AR) devices should necessitate a balance between end-users' quality of experience (QoE) and the latency requirements. Lowering the quality of the volumetric contents to diminish the latenc
Externí odkaz:
https://doaj.org/article/b455bacc48c648ca9a29c247cb77d604
Publikováno v:
IEEE Access, Vol 11, Pp 46892-46902 (2023)
Clustering data is an unsupervised learning approach that aims to divide a set of data points into multiple groups. It is a crucial yet demanding subject in machine learning and data mining. Its successful applications span various fields. However, c
Externí odkaz:
https://doaj.org/article/256a3c5ee97c40cfbb9effd485db3782