中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
机构
采集方式
内容类型
发表日期
学科主题
筛选

浏览/检索结果: 共15条,第1-10条 帮助

条数/页: 排序方式:
Multi-Source Adaptive Selection and Fusion for Pedestrian Dead Reckoning 期刊论文  OAI收割
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 12, 页码: 2174-2185
作者:  
Yuanxun Zheng;  Qinghua Li;  Changhong Wang;  Xiaoguang Wang;  Lifeng Hu
  |  收藏  |  浏览/下载:32/0  |  提交时间:2022/12/02
基于组合赋权和属性区间识别理论的岩爆烈度分级预测模型 期刊论文  OAI收割
煤炭学报, 2020, 卷号: 45, 期号: 11, 页码: 3772
作者:  
殷欣;  刘泉声;  王心语;  黄兴
  |  收藏  |  浏览/下载:16/0  |  提交时间:2021/05/25
OPTIMAL DESIGN METHOD OF PI CONTROLLER FOR MULTIPLE PROCESSES AND COUPLED LIQUID LEVEL SYSTEM 期刊论文  OAI收割
Control and Intelligent Systems, 2013, 卷号: 41, 期号: 4, 页码: 231-243
作者:  
Li XH(李先宏);  Yu HB(于海斌);  Yuan MZ(苑明哲)
收藏  |  浏览/下载:31/0  |  提交时间:2013/12/26
Landslide displacement prediction based on combining method with optimal weight 期刊论文  OAI收割
NATURAL HAZARDS, 2012, 卷号: 61, 期号: 2, 页码: 635-646
作者:  
Li, Xiuzhen;  Kong, Jiming;  Wang, Zhenyu
收藏  |  浏览/下载:28/0  |  提交时间:2014/12/02
Classification of hyperspectral image based on SVM optimized by a new particle swarm optimization (EI CONFERENCE) 会议论文  OAI收割
2012 2nd International Conference on Remote Sensing, Environment and Transportation Engineering, RSETE 2012, June 1, 2012 - June 3, 2012, Nanjing, China
作者:  
Gao X.;  Yu P.;  Yu P.
收藏  |  浏览/下载:19/0  |  提交时间:2013/03/25
Support Vector Machine (SVM) is used to classify hyperspectral remote sensing image in this paper. Radial Basis Function (RBF)  which is most widely used  is chosen as the kernel function of SVM. Selection of kernel function parameter is a pivotal factor which influences the performance of SVM. For this reason  Particle Swarm Optimization (PSO) is provided to get a better result. In order to improve the optimization efficiency of kernel function parameter  firstly larger steps of grid search method is used to find the appropriate rang of parameter. Since the PSO tends to be trapped into local optimal solutions  a weight and mutation particle swam optimization algorithm was proposed  in which the weight dynamically changes with a liner rule and the global best particle mutates per iteration to optimize the parameters of RBF-SVM. At last  a 220-bands hyperspectral remote sensing image of AVIRIS is taken as an experiment  which demonstrates that the method this paper proposed is an effective way to search the SVM parameters and is available in improving the performance of SVM classifiers. 2012 IEEE.  
Optimization analysis for radial support by finite elements method (EI CONFERENCE) 会议论文  OAI收割
2012 International Conference on Intelligent System and Applied Material, GSAM 2012, January 13, 2012 - January 15, 2012, Taiyuan, Shanxi, China
作者:  
Wang Y.;  Wang Y.;  Wang Y.;  Li C.;  Wang Y.
收藏  |  浏览/下载:23/0  |  提交时间:2013/03/25
Numerical study on optimal fluid settling management under microgravity 会议论文  OAI收割
Asian Microgravity Pre-Symposium 9th China-Japan-Korea Workshop on Microgravity Sciences, 中国广西桂林/Guilin, China, 2012-10-29
作者:  
Zhou BH(周炳红);  Wu CJ;  Yu Q(于强);  Liu QS(刘秋生)
收藏  |  浏览/下载:23/0  |  提交时间:2014/04/02
Design of motion compensation mechanism of satellite remote sensing camera (EI CONFERENCE) 会议论文  OAI收割
International Symposium on Photoelectronic Detection and Imaging 2011: Space Exploration Technologies and Applications, May 24, 2011 - May 26, 2011, Beijing, China
Gu S.; Yan Y.; Xu K.; Jin G.
收藏  |  浏览/下载:47/0  |  提交时间:2013/03/25
With the development of aerospace remote sensing technology  the ground resolution of remote sensing camera enhances continuously. Since there is relative motion between camera and ground target when taking pictures  the target image recorded in recording media is moved and blurred. In order to enhance the imaging quality and resolution of the camera  the image motion had to be compensated. In order to abate the effect of image motion to image quality of space camera and improve the resolution of the camera  the compensation method of image motion to space camera is researched. First  the reason of producing drift angle and adjustment principle are analyzed in this paper. This paper introduce the composition and transmission principle of image motion compensation mechanism. Second  the system adopts 80C31 as controller of drift angle  and adopts stepping motor for actuators  and adopts absolute photoelectric encoder as the drift Angle measuring element. Then the control mathematical model of the image motion compensation mechanism are deduced  and it achieve the closed-loop control of the drift angle position. At the last  this paper analyses the transmission precision of the mechanism. Through the experiment  we measured the actual precision of the image motion compensation mechanism  and compared with the theoretical analysis. There are two major contributions in this paper. First  the traditional image motion compensation mechanism is big volume and quality heavy. This has not fit for the development trend of space camera miniaturization and lightweight. But if reduce the volume and quality of mechanism  it will bring adverse effects for the precision and stiffness of mechanism. For this problem  This paper designed a image motion compensation that have some advantages such as small size  light weight at the same time  high precision  stiffness and so on. This image motion compensation can be applicable to the small optics cameras with high resolution. Second  the traditional mechanism control need to corrected  fitting and iterative for the control formula of mechanism. Only in this way  we can get the optimal control mathematical model. This paper has high precision of the control formula derived. It can achieve the high precision control without fitting  It also simplify the difficulty of control mathematical model establishment. This paper designed the range of adjusting of image motion compensation mechanism between -5 +5. Based on choosing-5  -4  -3  -2  -1  0  +1  +2  +3  +4  +4 as the expectation value of the imaginary drift angle  we get ten groups of the fact data in adjusting drift angle measured. The test results show that the precision of the drift angle control system can be achieved in 1. It can meet the system requirements that the precision of the control system is less than 3'  and it can achieve the high-precision image motion compensation. 2011 SPIE.  
Structure optimization of strap-down inertial navigation system support (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
作者:  
Wang J.;  Sun H.;  Sun H.
收藏  |  浏览/下载:28/0  |  提交时间:2013/03/25
In order to meet the requirement of inertial navigation components and minimizing the system's weight  and topological optimization was conducted. Then  topological optimization and size optimization were conducted under conditions of random vibration and impact. Firstly  according to the dynamic characteristics of missile and requirement of inertial navigation system  the structure of inertial navigation support was designed according to types of missile connection and space arrangement of electronic components  the method of transforming multi-loading cases to multi-loading constraints was used to optimizing the size of the support under conditions of random vibration and impact. Comparing to the original support structures  RMS accelerations in installed points reduced by 25.2% under random vibration  the weight of optimal structures reduced by 28.1%  the structures also met the requirement of inertial navigation system under condition of impact. The support structure shows improvements in both dynamic characteristic and light weight comparing with the original one. 2011 IEEE.  
Optimal MIMO PID Controllers for the MIMO Processes 会议论文  OAI收割
The ASME 2011 Dynamic Systems and Control Conference, DSCC2011, Arlington, VA, USA, October 31 - November 2, 2011
作者:  
Li XH(李先宏);  Yu HB(于海斌);  Yuan MZ(苑明哲);  Zang CZ(臧传治);  Wang Z(王卓)
收藏  |  浏览/下载:29/0  |  提交时间:2012/06/06