40,938 research outputs found
PIC905872 Supplemental material2 - Supplemental material for Visual experimental investigation on the stability of pressure regulating poppet valve
No full textSupplemental material, PIC905872 Supplemental material2 for Visual experimental investigation on the stability of pressure regulating poppet valve by Wei Min, Hongyu Wang, Zhi Zheng, Dong Wang, Hong Ji and YuBo Wang in Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science</p
PIC905872 Supplemental material1 - Supplemental material for Visual experimental investigation on the stability of pressure regulating poppet valve
No full textSupplemental material, PIC905872 Supplemental material1 for Visual experimental investigation on the stability of pressure regulating poppet valve by Wei Min, Hongyu Wang, Zhi Zheng, Dong Wang, Hong Ji and YuBo Wang in Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science</p
Uncertainty quantification for the {BGK} model of the {B}oltzmann equation using multilevel variance reduced {M}onte {C}arlo methods
No full textWe propose a control variate multilevel Monte Carlo method for the kinetic BGK model of the Boltzmann equation subject to random inputs. The method combines a multilevel Monte Carlo technique with the computation of the optimal control variate multipliers derived from local or global variance minimization problems. Consistency and convergence analysis for the method equipped with a second-order positivity-preserving and asymptotic-preserving scheme in space and time is also performed. Various numerical examples confirm that the optimized multilevel Monte Carlo method outperforms the classical multilevel Monte Carlo method especially for problems with discontinuities
Yubo Wang's Quick Files
No full textThe Quick Files feature was discontinued and it’s files were migrated into this Project on March 11, 2022. The file URL’s will still resolve properly, and the Quick Files logs are available in the Project’s Recent Activity
A Study of the Classical Landscape at the Wang River Villa of Wang Wei
No full textThe landscape of Wang Wei's Wang River Villa is examined by reviewing the essays and papers written about the poetical collaboration, the “Wang River Collection.” The purpose of this paper is to clarify the meaning of villa architecture in China. The author expects that this research will contribute to a mutual understanding between cultures. The villa was a Utopia for Wang. On the other hand, he was a pious Buddhist and Buddhistic concepts are reflected in the landscape. I consider the features of the classical landscape of Xie Lingyun and "Chu Ci," as written in “The Collection,” a reflection of the Buddhistic concept. When considering what the classics meant to Wang Wei, it is apparent that his villa is a representation of the classical landscape. It is not an imitation of the classical landscape, but a unique and original creation of art by Wang.departmental bulletin pape
Yubo Wang's Quick Files
No full textThe Quick Files feature was discontinued and it’s files were migrated into this Project on March 11, 2022. The file URL’s will still resolve properly, and the Quick Files logs are available in the Project’s Recent Activity
First person – Yihua Wang
No full textFirst Person is a series of interviews with the first authors of a selection of papers published in Journal of Cell Science, helping early-career researchers promote themselves alongside their papers. Yihua Wang is the first author on ‘Nuclear entry and export of FIH are mediated by HIF1α and exportin1, respectively’, published in Journal of Cell Science. Yihua is a Lecturer in Biological Sciences at the University of Southampton, studying cell signalling in lung fibrosis and cancer, drug target validation and gene function analysis
Why do woodpeckers resist head impact injury : a biomechanical investigation
No full textAuthor name used in this publication: Yubo Fan2011-2012 > Academic research: refereed > Publication in refereed journalVersion of RecordPublishedC
sj-docx-1-jet-10.1177_15266028221134895 – Supplemental material for Morphometric and Hemodynamic Analysis of the Compressed Iliac Vein
No full textSupplemental material, sj-docx-1-jet-10.1177_15266028221134895 for Morphometric and Hemodynamic Analysis of the Compressed Iliac Vein by Hongyu Wang, Wei Jia, Yifeng Xi, Yuan Li, Yubo Fan, Xiaoyan Deng and Zengsheng Chen in Journal of Endovascular Therapy</p
A Graph Policy Network Approach for Volt-Var Control in Power Distribution Systems
No full textVolt-var control (VVC) is the problem of operating power distribution systems within healthy regimes by controlling actuators in power systems. Existing works have mostly adopted the conventional routine of representing the power systems (a graph with tree topology) as vectors to train deep reinforcement learning (RL) policies. We propose a framework that combines RL with graph neural networks and study the benefits and limitations of graph-based policy in the VVC setting. Our results show that graph-based policies converge to the same rewards asymptotically however at a slower rate when compared to vector representation counterpart. We conduct further analysis on the impact of both observations and actions: on the observation end, we examine the robustness of graph-based policy on two typical data acquisition errors in power systems, namely sensor communication failure and measurement misalignment. On the action end, we show that actuators have various impacts on the system, thus using a graph representation induced by power systems topology may not be the optimal choice. In the end, we conduct a case study to demonstrate that the choice of readout function architecture and graph augmentation can further improve training performance and robustness.This is a preprint from Lee, Xian Yeow, Soumik Sarkar, and Yubo Wang. "A Graph Policy Network Approach for Volt-Var Control in Power Distribution Systems." arXiv preprint arXiv:2109.12073 (2021).
doi: https://doi.org/10.48550/arXiv.2109.12073. Published as Lee, Xian Yeow, Soumik Sarkar, and Yubo Wang. "A graph policy network approach for volt-var control in power distribution systems." Applied Energy 323 (2022): 119530. doi: https://doi.org/10.1016/j.apenergy.2022.119530
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