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Shao Xuan Seah and Sutthiphong Srigrarom
This paper explores the use of deep reinforcement learning in solving the multi-agent aircraft traffic planning (individual paths) and collision avoidance problem for a multiple UAS, such as that for a cargo drone network. Specifically, the Deep Q-Networ...
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Tingting Chen, Yan Li, Xiongfei Jiang and Lingjie Shao
The methods of complex networks have been extensively used to characterize information flow in complex systems, such as risk propagation in complex financial networks. However, network dynamics are ignored in most cases despite systems with similar topol...
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Yexiang Xiao, Zhonghua Gui, Xuesong Li, Zekui Shu, Guangtai Shi and Chunwei Gu
In this paper, the gas-liquid flow is comprehensively analyzed under different inlet gas void fractions, and the effect of tip leakage vortex (TLV) on the gas flow pattern in multiphase pumps is revealed. The results show that the gas flow pattern in an ...
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Dongtao Ji, Weigang Lu, Linguang Lu, Lei Xu, Jun Liu, Wei Shi and Guohao Huang
The shaft front-positioned tubular pump device has been widely used in practical engineering, but the shaft rear-positioned pump device is rarely used due to its low efficiency. To investigate the effect of the shaft position on the performance of a tubu...
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Sheng-Long Kao, Wu-Hsun Chung and Chao-Wei Chen
Maritime transport is a major mode of transportation. Over 80% of international freight is carried by this mode. A port is a hub of ships and freight in maritime transport. Because of growing environmental concerns, how to effectively monitor, control, a...
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