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Chinese Academy of Sciences Institutional Repositories Grid
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A stochastic multi-scale thermal conductivity numerical model for 2D C/SiC-Ti3SiC2 composite 期刊论文  OAI收割
MECHANICS OF ADVANCED MATERIALS AND STRUCTURES, MECHANICS OF ADVANCED MATERIALS AND STRUCTURES, 2024, 2025, 卷号: 32, 期号: 6, 页码: 17, 1164-1180
作者:  
Ma T(马特);  Wang RX(王睿星);  Yuan W(袁武);  Jia, Xiaodong;  Song HW(宋宏伟)
  |  收藏  |  浏览/下载:27/0  |  提交时间:2024/08/12
Research on Prediction Model of Interlayer Leakage in Separate Injection Wells in Offshore Oilfields 期刊论文  OAI收割
Journal of Physics: Conference Series, 2023, 卷号: 2610, 期号: 1
作者:  
Gao,Yonghua;  Chen,Jie;  Liu,Lei;  Bao,Chenyi;  Liu,Huawei
  |  收藏  |  浏览/下载:27/0  |  提交时间:2023/11/28
Experimental Study of the Interaction between Building Clusters and Flash Floods 期刊论文  OAI收割
Journal of Mountain Science, 2015, 卷号: 12, 期号: 5, 页码: 1334-1344
作者:  
DU Jun;  HE Xiao-yan;  WANG Zhao-yin;  ZHANG Chen-di;  LI Wen-xin
收藏  |  浏览/下载:34/0  |  提交时间:2015/09/22
Image mosaic technique based on the information of edge (EI CONFERENCE) 会议论文  OAI收割
2012 3rd International Conference on Digital Manufacturing and Automation, ICDMA 2012, July 31, 2012 - August 2, 2012, Guilin, Guangxi, China
作者:  
Wang Y.-Q.
收藏  |  浏览/下载:38/0  |  提交时间:2013/03/25
Image mosaic is an important branch in the field of image processing. This paper designs and realizes an image mosaic technique based on the information of edge. The technology is suitable for engineering application. First of all  two images of the adjoining frames are processed by convolution operation  get the edge images. And then we cut edge image into pieces and compute their spatial frequency. According to the value of the spatial frequency select reasonable registration model group. We compute correlation strength and the value of movement offset which are the model group and the current frame edge image. We can complete image mosaic by them. We use video sequence which of the resolution is 1024 * 768 do the experiment. The results show that the method has good effect and strong adaptability. Algorithm is high efficiency which running time is 24 ms. It is suitable for real-time processing requirements of the application. This method is an effective mosaic technique which is suitable for engineering application. 2012 IEEE.  
金属单相凝固组织演化的定量相场模拟与实验验证 学位论文  OAI收割
博士, 北京: 中国科学院金属研究所, 2012
陈云
收藏  |  浏览/下载:123/0  |  提交时间:2013/04/12
STUDY ON THE BEHAVIOUR OF BUBBLES IN A CONTINUOUS CASTING MOLD WITH Ar INJECTION AND TRAVELING MAGNETIC FIELD 期刊论文  OAI收割
ACTA METALLURGICA SINICA, 2012, 卷号: 48, 期号: 8, 页码: 951-956
作者:  
Chen Zhihui;  Wang Engang;  Zhang Xingwu;  Wang Yuanhua;  Zhu Mingwei
  |  收藏  |  浏览/下载:13/0  |  提交时间:2021/02/02
STUDY ON THE BEHAVIOUR OF BUBBLES IN A CONTINUOUS CASTING MOLD WITH Ar INJECTION AND TRAVELING MAGNETIC FIELD 期刊论文  OAI收割
ACTA METALLURGICA SINICA, 2012, 卷号: 48, 期号: 8, 页码: 951-956
作者:  
Chen Zhihui;  Wang Engang;  Zhang Xingwu;  Wang Yuanhua;  Zhu Mingwei
  |  收藏  |  浏览/下载:15/0  |  提交时间:2021/02/02
Double inverted pendulum control based on three-loop PID and improved BP neural network (EI CONFERENCE) 会议论文  OAI收割
2011 2nd International Conference on Digital Manufacturing and Automation, ICDMA 2011, August 5, 2011 - August 7, 2011, Zhangjiajie, Hunan, China
作者:  
Fan Y.
收藏  |  浏览/下载:43/0  |  提交时间:2013/03/25
To deal with the defects of BP neural networks used in balance control of inverted pendulum  such as longer train time and converging in partial minimum  this article reaLizes the control of double inverted pendulum with improved BP algorithm of artificial neural networks(ANN)  builds up a training model of test simulation and the BP network is 6-10-1 structure. Tansig function is used in hidden layer and PureLin function is used in output layer  LM is used in training algorithm. The training data is acquried by three-loop PID algorithm. The model is learned and trained with Matlab calculating software  and the simuLink simulation experiment results prove that improved BP algorithm for inverted pendulum control has higher precision  better astringency and lower calculation. This algorithm has wide appLication on nonLinear control and robust control field in particular. 2011 IEEE.  
The ship-borne infrared searching and tracking system based on the inertial platform (EI CONFERENCE) 会议论文  OAI收割
International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Infrared Imaging and Applications, May 24, 2011 - May 24, 2011, Beijing, China
作者:  
Li Y.;  Zhang H.;  Zhang H.;  Li Y.;  Li Y.
收藏  |  浏览/下载:42/0  |  提交时间:2013/03/25
As a result of the radar system got interferenced or in the state of half silent  it can cause the guided precision drop badly In the modern electronic warfare  therefore it can lead to the equipment depended on electronic guidance cannot strike the incoming goals exactly. It will need to rely on optoelectronic devices to make up for its shortcomings  but when interference is in the process of radar leading  especially the electro-optical equipment is influenced by the roll  pitch and yaw rotation  it can affect the target appear outside of the field of optoelectronic devices for a long time  so the infrared optoelectronic equipment can not exert the superiority  and also it cannot get across weapon-control system "reverse bring" missile against incoming goals. So the conventional ship-borne infrared system unable to track the target of incoming quickly  the ability of optoelectronic rivalry declines heavily.Here we provide a brand new controlling algorithm for the semi-automatic searching and infrared tracking based on inertial navigation platform. Now it is applying well in our XX infrared optoelectronic searching and tracking system. The algorithm is mainly divided into two steps: The artificial mode turns into auto-searching when the deviation of guide exceeds the current scene under the course of leading for radar.When the threshold value of the image picked-up is satisfied by the contrast of the target in the searching scene  the speed computed by using the CA model Least Square Method feeds back to the speed loop. And then combine the infrared information to accomplish the closed-loop control of the infrared optoelectronic system tracking. The algorithm is verified via experiment. Target capturing distance is 22.3 kilometers on the great lead deviation by using the algorithm. But without using the algorithm the capturing distance declines 12 kilometers. The algorithm advances the ability of infrared optoelectronic rivalry and declines the target capturing time by using semi-automatic searching and reliable capturing-tracking  when the lead deviation of the radar is great. 2011 Copyright Society of Photo-Optical Instrumentation Engineers (SPIE).  
Platform and steady kalman state observer design for intelligent vehicle based on visual guidance (EI CONFERENCE) 会议论文  OAI收割
2008 IEEE International Conference on Industrial Technology, IEEE ICIT 2008, April 21, 2008 - April 24, 2008, Chengdu, China
Rong-hui Z.; Rong-ben W.; Feng Y.; Hong-guang J.; Tao C.
收藏  |  浏览/下载:24/0  |  提交时间:2013/03/25
State observer design is one of key technologies in research field of intelligent vehicle. Experiment platform  visual guidance intelligent vehicle JLUIV-5  is establishedby Jilin University Intelligent Vehicle Group firstly. The system structure and assistant navigation control system  and different image identify algorithms to recognize preview path and stops for variable illuminations are introduced. The dynamic response equation of steering control system was got by system identification experiment. By combined with the preview kinematics model  and two-degree steering dynamic model of vehicle  the steering kalman filter mathematics model based on preview kinematics for intelligent vehicle was obtained. And observer is designed by applying steady Kalman filter theory. The simulation and experiment results  carry out in Jilin University Nanling Campus and Culture Center of Jilin Province  show that the image identify algorithms  and steady Kalmanstate observer designed by the proposed method has good adaptability for time-varying and parameters uncertain  it can satisfy intelligent vehicle trace the path reliably during outdoor experiment. 2008 IEEE.