5篇
您的检索式：作者名="Chunping Qiu"
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| 1 | A new technique of integral representations in ? n显示文摘 | Zongyuan Yao Chunhui Qiu Chunping Zhong | 2001 | Science in China Series A: Mathematics2001，，10： | 1 |
| 2 | A new Leray formula for smooth functions on bounded domains in C n显示文摘 | Zongyuan Yao Chunhui Qiu Chunping Zhong | 2002 | Science in China Series A: Mathematics2002，，5： | 1 |
| 3 | Cloning,Expresion and Tamor Suppression of Human Endostatin显示文摘 | He Zhiyong Chen Zheyu Qiu Chunping | 2000 | Acta Biochimica et Biophysica Sinica2000，32，4： | 1 |
| 4 | Numerical Simulation Study on Wear of Spur Gears under Dynamic Conditions显示文摘A numerical simulation model is proposed to predict the wear depth of gears,where Archard's wear equation and a nonlinear dynamic model are combined to establish a wear calculation model under dynamic conditions.The dynamic meshing force,determined by the non-linear dynamic model,and the sliding coefficient are used by Archard's wear equation to calculate the surface wear.Then the dynamic meshing force and sliding coefficient would be recalculated according to the surface wear state.After repeated iterations,the simulation results show that the peak and fluctuation of the meshing force increase first,then decrease,and eventually maintain stability during the process of wear.As for the distribution of wear depth,its fluctuation also increases first and then declines.Finally,the distribution of wear depth becomes V-shaped.Comparing the trends of the two factors,it is clear that the meshing force and wear depth are closely related.Moreover,the wear rate maintains a higher constant value first and then declines to a lower constant value. | Changsong Zheng Zhouli Zhang Chunping He Weipeng Lou Huizhu Li Qiu Du | 2019 | Journal of Beijing Institute of Technology2019，28，1： | 0 |
| 5 | Voxel modeling and association of ubiquitous spatiotemporal information in natural language texts显示文摘The ubiquitous spatiotemporal information extracted from Internet texts limits its application in spatiotemporal association and analysis due to its unstructured nature and uncertainty.This study uses ST-Voxel modeling to solve the problem of structured modeling and the association of ubiquitous spatiotemporal information in natural language texts.It provides a new solution for associating ubiquitous spatiotemporal information on the Internet and discovering public opinion.The main contributions of this paper include:(1)It proposes a convolved method for ST-Voxel,which solves the voxel modeling problem of unstructured and uncertain spatiotemporal objects and spatiotemporal relation in natural language texts.Experiments show that this method can effectively model 5 types of spatiotemporal objects and 16 types of uncertain spatiotemporal relation founded in texts;(2)It realizes the unknown event discovery based on voxelized spatiotemporal information association.Experiments show that this method can effectively solve the aggregation of ubiquitous spatiotemporal information in multi-natural language texts,which is conducive to discovering spatiotemporal events.The selection of convolution parameters in voxel modeling is also discussed.A parameter selection method for balancing the discovery capability and discovery accuracy of spatiotemporal events is given. | Dali Wang Xiaochong Tong Chenguang Dai Congzhou Guo Yi Lei Chunping Qiu He Li Yuekun Sun | 2023 | International Journal of Digital Earth2023，16，1： | 0 |
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