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Chinese Academy of Sciences Institutional Repositories Grid
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浏览/检索结果: 共6条,第1-6条 帮助

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Geometry-preserving full-waveform tomography and its application in the Longmen Shan area 期刊论文  OAI收割
SCIENCE CHINA-EARTH SCIENCES, 2022, 卷号: 65, 期号: 3, 页码: 437-448
作者:  
Dong, Xingpeng;  Yang, Dinghui;  Zhu, Hejun;  Chen, Yun
  |  收藏  |  浏览/下载:53/0  |  提交时间:2022/07/05
A feasible flow-based iterative algorithm for the two-level hierarchical time minimization transportation problem 期刊论文  OAI收割
COMPUTERS & OPERATIONS RESEARCH, 2017, 卷号: 86, 页码: 124-139
作者:  
Xie, Fanrong;  Butt, Muhammad Munir;  Li, Zuoan
  |  收藏  |  浏览/下载:29/0  |  提交时间:2018/07/30
An upper bound on the minimal total cost of the transportation problem with varying demands and supplies 期刊论文  OAI收割
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE, 2017, 卷号: 68, 页码: 105-118
作者:  
Xie, Fanrong;  Butt, Muhammad Munir;  Li, Zuoan;  Zhu, Linzhi
  |  收藏  |  浏览/下载:31/0  |  提交时间:2018/07/30
Toward solving the Steiner travelling salesman problem on urban road maps using the branch decomposition of graphs 期刊论文  OAI收割
information sciences, 2016, 卷号: 374, 页码: 164-178
作者:  
Xia, Yingjie;  Zhu, Mingzhe;  Gu, Qianping;  Zhang, Luming;  Li, Xuelong
收藏  |  浏览/下载:24/0  |  提交时间:2016/10/10
Real-time motive vehicle detection with adaptive background updating model and HSV colour space (EI CONFERENCE) 会议论文  OAI收割
4th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment, November 19, 2008 - November 21, 2008, Chengdu, China
Rong-Hui Z.; Bai Y.; Hong-guang J.; Chen T.
收藏  |  浏览/下载:67/0  |  提交时间:2013/03/25
In the transportation monitor system  we set up the area of interest (AOI) of the vehicle model and adjust the size of AOI dynamically in order to track vehicle accurately. The results of experiment show that  motive vehicle detection by adopting digital image is one of key technologies. To detect motive vehicle accurately  the arithmetic proposed in the paper can suppress shadow availably  we establish an adaptive background updating model firstly. Noise is suppressed by using modality filter  detect motive vehicle accurately and satisfy real-time motive vehicle tracking. 2009 SPIE.  and we obtain binary image by using maximum entropy to choose dynamic adaptive threshold. Based on positive information of shadow and aspect feature of motive vehicle  we adopt HSV colour space and double threshold to solve the problem of vehicle shadow. According to prediction result of Kalman filtering  
Explicit construction of measure solutions of Cauchy problem for transportation equations 期刊论文  OAI收割
SCIENCE IN CHINA SERIES A-MATHEMATICS PHYSICS ASTRONOMY, 1997, 卷号: 40, 期号: 12, 页码: 1287-1299
作者:  
Cheng, SZ
  |  收藏  |  浏览/下载:11/0  |  提交时间:2018/07/30