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Short-Term Traffic Forecasting by Mining the Non-Stationarity of Spatiotemporal Patterns 期刊论文  OAI收割
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2021, 卷号: 22, 期号: 10, 页码: 6365-6383
作者:  
Cheng, Shifen;  Lu, Feng;  Peng, Peng
  |  收藏  |  浏览/下载:27/0  |  提交时间:2022/09/21
Short-Term Traffic Forecasting by Mining the Non-Stationarity of Spatiotemporal Patterns 期刊论文  OAI收割
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2021, 卷号: 22, 期号: 10, 页码: 6365-6383
作者:  
Cheng, Shifen;  Lu, Feng;  Peng, Peng
  |  收藏  |  浏览/下载:16/0  |  提交时间:2022/09/21
A New MSGSA-Optimized Dynamic Window of Spatiotemporal Scan Statistics for Disease Outbreak Detection 期刊论文  OAI收割
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2021, 卷号: 14, 页码: 10821-10834
作者:  
Wang, Haiqi;  Kong, Haoran;  Yan, Bin;  Li, Liuke;  Xu, Jianbo
  |  收藏  |  浏览/下载:26/0  |  提交时间:2022/09/21
A Novel Process-Oriented Graph Storage for Dynamic Geographic Phenomena 期刊论文  OAI收割
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2019, 卷号: 8, 期号: 2, 页码: 16
作者:  
Xue, Cunjin;  Wu, Chengbin;  Liu, Jingyi;  Su, Fenzhen
  |  收藏  |  浏览/下载:67/0  |  提交时间:2019/05/22
A Novel Process-Oriented Graph Storage for Dynamic Geographic Phenomena 期刊论文  OAI收割
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2019, 卷号: 8, 期号: 2, 页码: 16
作者:  
Xue, Cunjin;  Wu, Chengbin;  Liu, Jingyi;  Su, Fenzhen
  |  收藏  |  浏览/下载:16/0  |  提交时间:2019/05/22
A Novel Process-Oriented Graph Storage for Dynamic Geographic Phenomena 期刊论文  OAI收割
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2019, 卷号: 8, 期号: 2, 页码: 16
作者:  
Xue, Cunjin;  Wu, Chengbin;  Liu, Jingyi;  Su, Fenzhen
  |  收藏  |  浏览/下载:14/0  |  提交时间:2019/05/22
Static and dynamic wetting of soft substrates 期刊论文  OAI收割
CURRENT OPINION IN COLLOID & INTERFACE SCIENCE, 2018, 卷号: 36, 页码: 46-57
作者:  
Chen LQ;  Bonaccurso E;  Gambaryan-Roisman T;  Starov V;  Koursari N
  |  收藏  |  浏览/下载:65/0  |  提交时间:2018/10/30
A strong coupled CFD-CSD method on computational aeroelastity (EI CONFERENCE) 会议论文  OAI收割
2011 2nd International Conference on Mechanic Automation and Control Engineering, MACE 2011, July 15, 2011 - July 17, 2011, Inner Mongolia, China
Xi R.; Jia H.
收藏  |  浏览/下载:67/0  |  提交时间:2013/03/25
In this paper  a strong coupled CFD-CSD method is developed to simulate the aeroelastic phenomena. The CFD solver is based on the finite-volume algorithm for the Navier-Stokes equations on unstructured grid. The CSD solver solves the aeroelastic governing equations in the modal space. Their coupling is realized by a dual-time method. The spring-based smoothing method is adopted to deform and regenerate the aerodynamic grid. Two test cases are selected to validate the authors' method for static and dynamic aeroelastity .The results of the simulation for the static aeroelastic problems of a missile wing show that the Lift Coefficient and Drag Coefficient are severally 7% and 5% lower than those don't consider the elasticity of the wing. The results for the flutter boundary prediction of the AGARD 445.6 wing have been proved much closer to the experiment than using the DLM. This method can describe the effects of fluid viscosity more exactly for highly nonlinear transonic flight conditions. The calculation has proved reliable in the subsonic regime  but not accurate enough in the supersonic regime. 2011 IEEE.  
Conjectures on the exact solution of three-dimensional (3D) simple orthorhombic Ising lattices 期刊论文  OAI收割
Philosophical Magazine, 2007, 卷号: 87, 期号: 34, 页码: 5309-5419
Z. D. Zhang
收藏  |  浏览/下载:20/0  |  提交时间:2012/04/13