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Shuai Zheng, Yumin Su, Jiayuan Zhuang, Yueqi Tang and Guangjie Yi
The development of dynamic positioning (DP) algorithms for an unmanned surface vehicle (USV) is attracting great interest, especially in support of complex missions such as sea rescue. In order to improve the simplicity of the algorithm, a DP algorithm b...
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Wongwan Jung and Daejun Chang
This study proposed a deep reinforcement learning-based energy management strategy (DRL-EMS) that can be applied to a hybrid electric ship propulsion system (HSPS) integrating liquid hydrogen (LH2) fuel gas supply system (FGSS), proton-exchange membrane ...
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Enrico Aymerich, Barbara Cannas, Fabio Pisano, Giuliana Sias, Carlo Sozzi, Chris Stuart, Pedro Carvalho, Alessandra Fanni and the JET Contributors
Reliable disruption prediction (DP) and disruption mitigation systems are considered unavoidable during international thermonuclear experimental reactor (ITER) operations and in the view of the next fusion reactors such as the DEMOnstration Power Plant (...
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Wenyuan Zhao, Yanlai Zhang, Peng Tang and Jianghao Wu
Motivated by outstanding aerodynamic performance and limited emissions, the blend-wing-body (BWB) aircraft equipped with a distributed propulsion (DP) system has become a possible layout for civil aircraft in the next generation. Due to the strong aero-p...
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Wilson Pérez, Punit Tulpule, Shawn Midlam-Mohler and Giorgio Rizzoni
Advanced energy management strategies (EMS) are used to control the power flow through a vehicle?s powertrain. However, the cost of high-power computational hardware and lack of a priori knowledge of future road conditions poses difficult challenges for ...
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Dong-Jun Kim and Kyuho Sim
This paper presents a linear dynamic analysis on operable charge pressure and working frequency of free-piston Stirling engines (FPSE) along with experimental verifications. The equations of motion of the FPSE are formulated as a 2-degree-of-freedom (DOF...
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Di Zhu, Yadong Mei, Xinfa Xu, Junhong Chen and Yue Ben
As more and more water projects are built on rivers, the flood control operation becomes more complex. Studies on the optimal flood control operation are very important to safeguard human life and property. This study focused on optimizing the operation ...
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Xiangke Liao,Shaoliang Peng,Yutong Lu,Yingbo Cui,Chengkun Wu,Heng Wang,Jiajun Wen
Pág. 73 - 83
The growing velocity of biological big data is way beyond Moore's Law of compute power growth. The amount of genomic data has been explosively accumulating, which calls for an enormous amount of computing power, while current computation methods cannot s...
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Hongwen He, Rui Xiong and Jinxin Fan
To improve the use of lithium-ion batteries in electric vehicle (EV) applications, evaluations and comparisons of different equivalent circuit models are presented in this paper. Based on an analysis of the traditional lithium-ion battery equivalent circ...
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D.P. Power
Pág. 347 - 350
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