Zobrazeno 1 - 10
of 75
pro vyhledávání: '"Soyi Jung"'
Publikováno v:
ICT Express, Vol 10, Iss 1, Pp 65-70 (2024)
Unmanned aerial vehicle (UAV) relaying network systems have been widely studied to expand network coverage and improve frequency efficiency for wireless communication. This paper proposes a carrier sense multiple access with collision avoidance (CSMA
Externí odkaz:
https://doaj.org/article/a0637e51bc404d9aaa1fba16b33346b8
Publikováno v:
IEEE Access, Vol 12, Pp 137360-137372 (2024)
This paper presents practical scenarios for drone-based networking systems, specifically focusing on LTE-capable sensor-to-drone intermittent transmission over cellular networks. The proposed scenarios consider power limitations and connectivity inst
Externí odkaz:
https://doaj.org/article/0a5767747e724a39b457f2cd7fa25534
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 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
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 16533-16548 (2023)
In modern networking research, infrastructure-assisted unmanned autonomous vehicles (UAVs) are actively considered for real-time learning-based surveillance and aerial data-delivery under unexpected 3D free mobility and coordination. In this system m
Externí odkaz:
https://doaj.org/article/dee46ebb112f46028d54e616dd356697
Publikováno v:
ICT Express, Vol 8, Iss 3, Pp 432-437 (2022)
Recently, a low earth orbit (LEO) satellite network is one of major systems to provide seamless access for terrestrial network systems. In order to provide robust access, efficient handover mechanisms are essential. However, conventional mechanisms m
Externí odkaz:
https://doaj.org/article/9485e584ea9243b998723d72c1af134a