中国科学院机构知识库网格
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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Research on imbalance between supply and demand in China's natural gas market under the double-track price system 期刊论文  OAI收割
ENERGY POLICY, 2021, 卷号: 155, 页码: 11
作者:  
Chai, Jian;  Zhang, Xiaokong;  Lu, Quanying;  Zhang, Xuejun;  Wang, Yabo
  |  收藏  |  浏览/下载:113/0  |  提交时间:2021/10/26
Two-step etch method to improve the filtering performance of nuclear track membrane 会议论文  OAI收割
作者:  
Wang Yang;  Qu Hua;  Mo Dan;  Xiong, L;  Jiao, Q
  |  收藏  |  浏览/下载:25/0  |  提交时间:2018/08/20
Two-step etch method to improve the filtering performance of nuclear track membrane 会议论文  OAI收割
作者:  
Wang Yang;  Qu Hua;  Mo Dan;  Xiong, L;  Jiao, Q
  |  收藏  |  浏览/下载:33/0  |  提交时间:2018/08/20
A vertex tracking technique based on airborne opticalequipment (EI CONFERENCE) 会议论文  OAI收割
2011 International Conference on Electronics and Optoelectronics, ICEOE 2011, July 29, 2011 - July 31, 2011, Dalian, China
Li Q.
收藏  |  浏览/下载:14/0  |  提交时间:2013/03/25
Temperature and composition profile during double-track laser cladding of H13 tool steel 期刊论文  OAI收割
Journal of Physics D: Applied Physics, 2010, 卷号: 43, 期号: 1, 页码: 015502
作者:  
He XL(何秀丽);  Yu G(虞钢);  Mazumder J
收藏  |  浏览/下载:1125/125  |  提交时间:2009/12/28
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:68/0  |  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