Zobrazeno 1 - 10
of 101
pro vyhledávání: '"LI Mushu"'
Publikováno v:
电力工程技术, Vol 41, Iss 2, Pp 29-36 (2022)
Aiming at the problem of large inrush current when the commutation fails in the hybrid direct current (DC) transmission system,the relationship between the inrush current amplitude and the voltage source converter (VSC) is firstly derived. The number
Externí odkaz:
https://doaj.org/article/c71b42b530ab4558a9e801f166bd7fcf
Autor:
Manjunath, Yoga Suhas Kuruba, Szymanowski, Mathew, Wissborn, Austin, Li, Mushu, Zhao, Lian, Zhang, Xiao-Ping
Our work proposes a comprehensive solution for predicting Metaverse network traffic, addressing the growing demand for intelligent resource management in eXtended Reality (XR) services. We first introduce a state-of-the-art testbed capturing a real-w
Externí odkaz:
http://arxiv.org/abs/2411.11894
Autor:
Manjunath, Yoga Suhas Kuruba, Wissborn, Austin, Szymanowski, Mathew, Li, Mushu, Zhao, Lian, Zhang, Xiao-Ping
In this paper, we design an exclusive Metaverse network traffic classifier, named Discern-XR, to help Internet service providers (ISP) and router manufacturers enhance the quality of Metaverse services. Leveraging segmented learning, the Frame Vector
Externí odkaz:
http://arxiv.org/abs/2411.05184
Publikováno v:
电力工程技术, Vol 41, Iss 6, Pp 75-81,139 (2022)
The voltage-source converter based multi-terminal direct current (VSC-MTDC) transmission system is mainly applied in grid-connection and long-distance transmission of new energy power generation. New energy power generation has volatility and uncerta
Externí odkaz:
https://doaj.org/article/dd34678af6594c9196a2d1279b7d15ff
Publikováno v:
IEEE Internet Things J. (Volume: 11, Issue: 7, 01 April 2024)
Device-edge collaboration on deep neural network (DNN) inference is a promising approach to efficiently utilizing network resources for supporting artificial intelligence of things (AIoT) applications. In this paper, we propose a novel digital twin (
Externí odkaz:
http://arxiv.org/abs/2405.17664
In this paper, we propose a novel efficient digital twin (DT) data processing scheme to reduce service latency for multicast short video streaming. Particularly, DT is constructed to emulate and analyze user status for multicast group update and swip
Externí odkaz:
http://arxiv.org/abs/2404.13749
In this paper, we propose a digital twin (DT)-based user-centric approach for processing sensing data in an integrated sensing and communication (ISAC) system with high accuracy and efficient resource utilization. The considered scenario involves an
Externí odkaz:
http://arxiv.org/abs/2311.12223
Publikováno v:
in IEEE Journal of Selected Topics in Signal Processing, vol. 17, no. 5, pp. 1131-1146, Sept. 2023
In this paper, we present a novel content caching and delivery approach for mobile virtual reality (VR) video streaming. The proposed approach aims to maximize VR video streaming performance, i.e., minimizing video frame missing rate, by proactively
Externí odkaz:
http://arxiv.org/abs/2311.10645
Edge-device collaboration has the potential to facilitate compute-intensive device pose tracking for resource-constrained mobile augmented reality (MAR) devices. In this paper, we devise a 3D map management scheme for edge-assisted MAR, wherein an ed
Externí odkaz:
http://arxiv.org/abs/2311.04997