Zobrazeno 1 - 10
of 1 840
pro vyhledávání: '"Liao Qi"'
Publikováno v:
You-qi chuyun, Vol 43, Iss 4, Pp 361-372 (2024)
[Objective] Ammonia is acknowledged as an efficient hydrogen storage medium, having the potential of being a substitute for fossil fuels in achieving the vision of a “carbon-free future”. Due to its stable liquid-state attributes in storage and t
Externí odkaz:
https://doaj.org/article/7bac78dfee694c96a52e52f710947114
Publikováno v:
You-qi chuyun, Vol 41, Iss 11, Pp 1228-1241 (2023)
Efficient methods for optimizing and coordinating the primary distribution of petroleum products are crucial for enhancing transportation efficiency and reducing operational costs. This paper provides an analysis and summary of current domestic and i
Externí odkaz:
https://doaj.org/article/a7b38de866a64ef99e39785d496cf8b8
During the operation of a multi-product pipeline, an accurate and effective prediction of contamination length interval is the central key to guiding the cutting plan formulation and improving the economic effect. However, the existing methods focus
Externí odkaz:
http://arxiv.org/abs/2409.12481
The high-pressure transportation process of pipeline necessitates an accurate hydraulic transient simulation tool to prevent slack line flow and over-pressure, which can endanger pipeline operations. However, current numerical solution methods often
Externí odkaz:
http://arxiv.org/abs/2409.10911
Network slicing is a key technique in 5G and beyond for efficiently supporting diverse services. Many network slicing solutions rely on deep learning to manage complex and high-dimensional resource allocation problems. However, deep learning models s
Externí odkaz:
http://arxiv.org/abs/2401.11731
Autor:
Liao, Qi, Tung, Tze-Yang
Recently, deep autoencoders have gained traction as a powerful method for implementing goal-oriented semantic communications systems. The idea is to train a mapping from the source domain directly to channel symbols, and vice versa. However, prior st
Externí odkaz:
http://arxiv.org/abs/2401.08360
Publikováno v:
Volume 4, 2023, Pages 1141 - 1155
Network slicing enables operators to efficiently support diverse applications on a common physical infrastructure. The ever-increasing densification of network deployment leads to complex and non-trivial inter-cell interference, which requires more t
Externí odkaz:
http://arxiv.org/abs/2306.11552
Transport coefficients, such as the diffusion coefficient and shear viscosity, are important material properties that are calculated in computer simulations. In this study, the criterion for the best estimation of viscosity, as an example of transpor
Externí odkaz:
http://arxiv.org/abs/2305.04512
Deep reinforcement learning (DRL) has been increasingly employed to handle the dynamic and complex resource management in network slicing. The deployment of DRL policies in real networks, however, is complicated by heterogeneous cell conditions. In t
Externí odkaz:
http://arxiv.org/abs/2301.03262
Autor:
GUO Jia-hu, LIAO Qi-yan
Publikováno v:
Gong-kuang zidonghua, Vol 37, Iss 10, Pp 34-38 (2011)
In view of problems of low-order harmonics in output voltage, needing filter and transformer with big volume and dynamic voltage balancing of series components of HVDC transmission system based on VSC, the paper proposed a design scheme of light HVDC
Externí odkaz:
https://doaj.org/article/65cd957f32014ce7b0f3437f014002c3