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8条,第1-8条 帮助

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Modeling and variable structure control of a vehicle flexible manipulator (EI CONFERENCE) 会议论文  OAI收割
10th World Congress on Intelligent Control and Automation, WCICA 2012, July 6, 2012 - July 8, 2012, Beijing, China
作者:  
Wang Z.;  Li Y.;  Li Y.;  Li Y.;  Li Y.
收藏  |  浏览/下载:30/0  |  提交时间:2013/03/25
In this paper  the mathematical modeling and the application of a new trajectory tracking control technique for hydraulic-driven rigid-flexible manipulator are concerned. To get a closer dynamic behavior of the real system  both the flexible manipulator linkage and the actuator dynamics are considered. The exact dynamic model of flexible manipulator is derived using Lagrange principle and assumed modes method. The partial decoupled dynamic equation is derived using nonlinear decoupling feedback control method. The whole dynamic model is established by a driven Jacobin matrix  which represents the coupling between hydraulic servo system and mechanical system. A variable structure controller with inverse dynamics is designed for trajectory tracking. To weaken the chattering of control signal  saturation function is used to instead of sign function. The experimental results investigate the effectiveness of the proposed approaches. 2012 IEEE.  
Information extraction from laser speckle patterns using wavelet entropy techniques (EI CONFERENCE) 会议论文  OAI收割
MIPPR 2011: Multispectral Image Acquisition, Processing, and Analysis, November 4, 2011 - November 6, 2011, Guilin, China
作者:  
Li X.-Z.;  Wang X.-J.
收藏  |  浏览/下载:42/0  |  提交时间:2013/03/25
A novel speckle patterns processing method is presented using multi-scale wavelet techniques. Laser speckle patterns generated from the sample contained abundant information. In this paper  we propose a method using wavelet entropy techniques to analyze the speckle patterns and exact the information on the sample surface. In our case  we used this approach to test the solar silicon cell surface profiles based on the sym8 orthogonal wavelet family. According different wavelet entropy values  the micro-structure of different solar silicon cell surfaces were comparative analyzed. Furthermore  we studied the AFM and reflective spectra of the wafer. Results show that the wavelet entropy speckle processing method is effective and accurate. And the experiment proved that this method is a useful tool to investigate the surface profile quality. 2011 SPIE.  
The study of encoding principle and encoding disc design of a new-style vernier absolute encoder (EI CONFERENCE) 会议论文  OAI收割
2nd Annual Conference on Electrical and Control Engineering, ICECE 2011, September 16, 2011 - September 18, 2011, Yichang, China
作者:  
Li L.
收藏  |  浏览/下载:32/0  |  提交时间:2013/03/25
Range-based attacks on links in random scale-free networks 期刊论文  OAI收割
JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT, 2008, 页码: 6
作者:  
Gong, Baihua;  Liu, Jun;  Huang, Liang;  Yang, Kongqing;  Yang, Lei
  |  收藏  |  浏览/下载:9/0  |  提交时间:2010/10/29
Modeling diffractive optical elements in hybrid systems with the effect of the material dispersion (EI CONFERENCE) 会议论文  OAI收割
Current Developments in Lens Design and Optical Engineering IX, August 11, 2008 - August 12, 2008, San Diego, CA, United states
作者:  
Zhang H.;  Liu H.;  Liu H.;  Liu H.;  Zhang H.
收藏  |  浏览/下载:18/0  |  提交时间:2013/03/25
The large-scale organization of the hadron decay network 期刊论文  OAI收割
JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT, 2008, 页码: P01009
作者:  
Xu XP(徐新平);  Xu, XP;  Liu, F
收藏  |  浏览/下载:16/0  |  提交时间:2016/06/29
Lossless wavelet compression on medical image (EI CONFERENCE) 会议论文  OAI收割
4th International Conference on Photonics and Imaging in Biology and Medicine, September 3, 2005 - September 6, 2005, Tianjin, China
作者:  
Liu H.;  Liu H.;  Liu H.
收藏  |  浏览/下载:54/0  |  提交时间:2013/03/25
An increasing number of medical imagery is created directly in digital form. Such as Clinical image Archiving and Communication Systems (PACS). as well as telemedicine networks require the storage and transmission of this huge amount of medical image data. Efficient compression of these data is crucial. Several lossless and lossy techniques for the compression of the data have been proposed. Lossless techniques allow exact reconstruction of the original imagery while lossy techniques aim to achieve high compression ratios by allowing some acceptable degradation in the image. Lossless compression does not degrade the image  thus facilitating accurate diagnosis  of course at the expense of higher bit rates  i.e. lower compression ratios. Various methods both for lossy (irreversible) and lossless (reversible) image compression are proposed in the literature. The recent advances in the lossy compression techniques include different methods such as vector quantization  wavelet coding  neural networks  and fractal coding. Although these methods can achieve high compression ratios (of the order 50:1  or even more)  they do not allow reconstructing exactly the original version of the input data. Lossless compression techniques permit the perfect reconstruction of the original image  but the achievable compression ratios are only of the order 2:1  up to 4:1. In our paper  we use a kind of lifting scheme to generate truly loss-less non-linear integer-to-integer wavelet transforms. At the same time  we exploit the coding algorithm producing an embedded code has the property that the bits in the bit stream are generated in order of importance  so that all the low rate codes are included at the beginning of the bit stream. Typically  the encoding process stops when the target bit rate is met. Similarly  the decoder can interrupt the decoding process at any point in the bil stream  and still reconstruct the image. Therefore  a compression scheme generating an embedded code can start sending over the network the coarser version of the image first  and continues with the progressive transmission of the refinement details. Experimental results show that our method can get a perfect performance in compression ratio and reconstructive image.  
Multiwavelet based multispectral image fusion for corona detection (EI CONFERENCE) 会议论文  OAI收割
ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China
作者:  
Wang X.;  Yang H.-J.;  Sui Y.-X.;  Yan F.;  Yan F.
收藏  |  浏览/下载:35/0  |  提交时间:2013/03/25
Image fusion refers to the integration of complementary information provided by various sensors such that the new images are more useful for human or machine perception. Multiwavelet transform has simultaneous orthogonality  symmetry  compact support  and vanishing moment  which are not possible with scalar wavelet transform. Multiwavelet analysis can offer more precise image analysis than wavelet multiresolution analysis. In this paper  a new image fusion algorithm based on discrete multiwavelet transform (DMWT) to fuse the dual-spectral images generated from the corona detection system is presented. The dual-spectrum detection system is used to detect the corona and indicate its exact location. The system combines a solar-blind UV ICCD with a visible camera  where the UV image is useful for detecting UV emission from corona and the visible image shows the position of the corona. The developed fusion algorithm is proposed considering the feature of the UV and visible images adequately. The source images are performed at the pixel level. First  a decomposition step is taken with the DMWT. After the decomposition step  a pyramid for each source image in each level can be obtained. Then  an optimized coefficient fusion rule consisting of activity level measurement  coefficient combining and consistency verification is used to acquire the fused coefficients. This process reduces the impulse noise of UV image. Finally  a new fused image is obtained by reconstructing the fused coefficients using inverse DMWT. This image fusion algorithm has been applied to process the multispectral UV/visible images. Experimental results show that the proposed method outperforms the discrete wavelet transform based approach.