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Effective approach to improve the solving precision of electric field integral equation

Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics 2009年第11期31卷 2553-2555页

作者： Song, Kai-Hong Zhang, Qing-Hua Wu, Xian-Liang Key Lab. of Intelligent Computing and Signal Processing Anhui Univ. Hefei 230039 China

To improve the accuracy and efficiency for solving the EFIE (electric field integral equation) by the method of moment, a novel scheme is put forward to improve the calculation precision based on the EFIE. Firstly, the inaccurate induced current is obtained by solving the EFIE under coarse mesh grids. Secondly, the scattered magnetic field at any given point on the surface of the object is calculated by the inaccurate induced current. Finally, the accurate induced current at any given point is determined through total magnetic field. The proposed approach is applied to the case of infinitely perfectly electric conducting circular cylinder and square cylinder. The numerical results are presented to demonstrate the high precision and efficiency when the size of mesh grid is large.

关键词： Method of moments

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A compression algorithm for multi-streams based on GEP

A compression algorithm for multi-streams based on GEP

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3rd International Conference on Genetic and Evolutionary computing, WGEC 2009

作者： Ding, Chao Yuan, Chang-An Qin, Xiao Peng, Yu-Zhong Computer and Information Engineering College Guangxi Teachers Education University Nanning 530001 China First Middle School of Mengcheng Anhui Mengcheng233500 China Key Lab. of Scientific Computing and Intelligent Information Processing in Universities of Guangxi Guangxi Teachers Education University Nanning China

ISBN: (纸本)9780769538990

This paper applied the Methods which based on GEP in compress multi-streams. The contributions of this paper include: 1) giving an introduction to data function finding based on GEP(DFF-GEP), defining the main conception of Multi-Streams, and revealing the map relation in it;2) putting forward the Compression Algorithm for Multi-Streams according to map relation lied in data between data streams;and 3)providing an experience with the real data and find that (3.1) the compression ratio of the new methods is 120-150 times as the traditional wavelets method, and 35-70 times as the wavelets and coincidence method;(3.2) the relative error of the new method is about 3??,yet maximum relative error is 0.01 by using the traditional relative error standard, the precision is improved from 7% to 15% as compared with the traditional method. © 2009 IEEE.

关键词： Errors

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A Research on EOG Feature Parameters Extraction Based on Linear Predictive Coding Model

A Research on EOG Feature Parameters Extraction Based on Lin...

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International Conference on Bioinformatics and Biomedical Engineering (ICBBE)

作者： Zhao Lv Xiaopei Wu Mi Li The Key Laboratory of Intelligent Computing & Signal Processing Anhui University Hefei Anhui China National Mobile Communications Research Laboratory South-East University Nanjing Jiangsu China

EOG is a very effective eye movement recording method, which is not only noninvasive, but also can record any eye movements' information. In order to extract some features come form these information contained in EOG automatically, this paper presents a novel EOG feature parameters extraction algorithm. The proposed algorithm includes three main parts. The first is endpoint detection unit which detects the startpoint and endpoint of EOG signals. The second is a preprocessor which consists of band-pass filter, frame blocking procedure and windowing step. The third is feature parameters extracting part which extracts EOG feature by a linear predictive coding model and converts LPC parameters to LPC cepstral (LPCC) coefficients. Finally, the paper gives experimental results.

关键词： Electrooculography Feature extraction Parameter extraction Linear predictive coding Predictive models signal processing algorithms laboratories signal processing Data mining Robustness

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A generic approach to classify sports video shots and its application in event detection 09

A generic approach to classify sports video shots and its ap...

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1st International Conference on Internet Multimedia computing and Service, ICIMCS 2009

作者： Li, Lingfang Duan, Ling-Yu Huang, Qingming Du, Jun Gao, Wen Key Lab. of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing 100190 China Institute of Digital Media Peking University Beijing 100871 China Graduate University of Chinese Academy of Sciences Beijing 100190 China NEC Research Labs. China Beijing 100084 China

ISBN: (纸本)9781605588407

Shot type is useful information for semantic sports video analysis. Most existing approaches utilize predefined rules and domain knowledge to derive shot types in sports video. Although these methods have achieved promising results in some specific games, it is hard to extend them from one sport to another. To address this problem, we propose a generic approach to classify shots in sports video. Our approach utilizes bag of visual words model to represent key frame for each shot based on Scale Invariant Feature Transform (SIFT) feature points;either Support Vector Machine (SVM) or Probabilistic Latent Semantic Analysis (PLSA) are then employed to classify key frame to determine shot type. As our approach relies little on domain knowledge, it can be more easily extended to different sports. We have evaluated our shot classification approach over five types of sports video and have achieved promising results. To show the usefulness and effectiveness of our shot classification, we apply the results of shot type to detect events in basketball video via a generative-discriminative model. In addition, we have observed that some common visual parts frequently appear across various shots in the same sport or even different but relevant sports. For instance, soccer and basketball are relevant sports in the sense of field-ball game. Motivated by this observation, we attempt to alleviate the problem of insufficient sports video data in some applications by sharing these visual parts across different but relevant kinds of sports. Copyright 2009 ACM.

关键词： Sports

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3D imaging algorithm and implement for through-wall synthetic aperture radar

3D imaging algorithm and implement for through-wall syntheti...

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Midwest Symposium on Circuits and Systems (MWSCAS)

作者： Jiabing Zhu Yi Hong Liang Tao East China Research Institute of Electronic East China Research Institute of Electronic Engineering Hefei China Education Ministry Key Laboratory of Intelligent Computing and Signal Processing Anhui University Hefei China

ISBN: (纸本)9781424444793;9781424444809

Typical synthetic aperture radar (SAR) images are two-dimensional, providing range and azimuth information, but furnish few details with respect to elevation. First of all, one approach to extend SAR to three-dimensional imaging is considered. The simplest implementation of this would replace the single antenna element by a linear array oriented vertically. Secondly, the outlining data and image processing for a three-dimensional application is introduced in detail in the paper. Finally, simulation results show that the proposed algorithm is effective, while maintaining good image quality in terms of the reconstructed target response.

关键词： Azimuth Linear antenna arrays signal processing algorithms Synthetic aperture radar Spaceborne radar Image reconstruction Radar imaging Radar signal processing Pulse compression methods Image processing

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Maximizing Spectral Radius of Trees with Given Maximal Degree

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Journal of Mathematical Research and Exposition 2009年第5期29卷 806-812页

作者： FAN Yi Zheng ZHU Min Key Laboratory of Intelligent Computing & Signal Processing Ministry of Education of the People's Republic of China Anhui University Anhui 230039 China School of Mathematical Sciences Anhui University Anhui 230039 China

In this paper, we characterize the trees with the largest Laplacian and adjacency spectral radii among all trees with fixed number of vertices and fixed maximal degree, respectively.

关键词： trees maximal degree Laplacian eigenvalue adjacency eigenvalue spectral radius.

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A threshold RSA signature scheme with traceable signers

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Journal of Computational Information Systems 2009年第4期5卷 1143-1146页

作者： Shi, Runhua Zhong, Hong Huang, Liusheng Key Laboratory of Intelligent Computing and Signal Processing Anhui University Hefei 230039 China School of Computer Science and Technology Anhui University Hefei 230039 China NHPCC Depart. of CS. and Tech. USTC Hefei 230027 China

This paper proposes a threshold RSA signature scheme with traceable signers. In such scheme, there is a trusted center (TC), which generates all system parameters, the secret keys and the corresponding public keys of the group and all members, and exists a designated clerk, who creates a warrant recording the identities of the signers and other import information. Any t members can collaboratively generate the group signature with the help of the clerk, who verifies the validity of the partial signatures and combines them to the group signature. Any one can verify the correctness of the group signature by the public information and trace out to find the identities of the signers by the warrant. © 2009 Binary Information Press August, 2009.

关键词： Authentication

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Automatic adaptation of annotation standards: Chinese word segmentation and POS tagging: a case study 09

Automatic adaptation of annotation standards: Chinese word s...

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Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language processing of the AFNLP: Volume 1 - Volume 1

作者： Wenbin Jiang Liang Huang Qun Liu Key Lab. of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing China Google Research Charleston Rd. Mountain View CA

ISBN: (纸本)9781932432459

Manually annotated corpora are valuable but scarce resources, yet for many annotation tasks such as treebanking and sequence labeling there exist multiple corpora with different and incompatible annotation guidelines or standards. This seems to be a great waste of human efforts, and it would be nice to automatically adapt one annotation standard to another. We present a simple yet effective strategy that transfers knowledge from a differently annotated corpus to the corpus with desired annotation. We test the efficacy of this method in the context of Chinese word segmentation and part-of-speech tagging, where no segmentation and POS tagging standards are widely accepted due to the lack of morphology in Chinese. Experiments show that adaptation from the much larger People's Daily corpus to the smaller but more popular Penn Chinese Treebank results in significant improvements in both segmentation and tagging accuracies (with error reductions of 30.2% and 14%, respectively), which in turn helps improve Chinese parsing accuracy.

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Hybrid Lifting Wavelet-Like Transform for Solution of Electromagnetic Integral Equation

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Chinese Physics Letters 2008年第3期25卷 1000-1003页

作者：陈明生吴先良沙威黄志祥 Key Laboratory of Intelligent Computing and Signal Processing Anhui University Hefei 230039

A hybrid lifting wavelet-like transform scheme is successfully applied to the solution of electric field integral equation using Rao-Wilton-Glisson basis functions. To speed up the matrix transform process, the lifting scheme is adopted. Numerical examples of different three-dimensional perfectly electric conducting objects are considered. Compared with the method of moments, the proposed matrix transform scheme can save considerable CPU time and memory.

关键词： supernova explosion proto-neutron star shock wave

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Automatic sports genre categorization and view-type classification over large-scale dataset 09

Automatic sports genre categorization and view-type classifi...

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17th ACM International Conference on Multimedia, MM'09, with Co-located Workshops and Symposiums

作者： Li, Lingfang Zhang, Ning Duan, Ling-Yu Huang, Qingming Du, Jun Guan, Ling Key Lab. of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing 100080 China Ryerson Multimedia Research Laboratory Ryerson University Toronto ON Canada Institute of Digital Media Peking University Beijing 100871 China Graduate University of Chinese Academy of Sciences Beijing 100190 China NEC Research Labs. China Beijing 100084 China

ISBN: (纸本)9781605586083

This paper presents a framework with two automatic tasks targeting large-scale and low quality sports video archives collected from online video streams. The framework is based on the bag of visual-words model using speeded-up robust features (SURF). The first task is sports genre categorization based on hierarchical structure. Following on the second task which is based on automatically obtained genre, views are classified using support vector machines (SVMs). As a consequence, the views classification result can be used in video parsing and highlight extraction. As compared with state-of-the-art methods, our approach is fully automatic as well as domain knowledge free and thus provides a better extensibility. Furthermore, our dataset consists of 14 sport genres with 6850 minutes in total. Both sport genre categorization and view type classification have more than 80% accuracy rates, which validate this framework's robustness and potential in web-based applications. Copyright 2009 ACM.

关键词： Support vector machines

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