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International Conference on Acoustics, Speech, and Signal processing (ICASSP)

作者： Dohyun Ahn Chang-Su Kim Sang-Uk Lee Signal Processing Laboratory School of Electrical Engineering and Computer Science Seoul National University Seoul South Korea Department Electronics Eng. Korea University Seoul South Korea

A novel image compression algorithm based on generalized principal component analysis (GPCA) is proposed in this work. Each image block is first classified into a subspace and is represented with a linear combination of the basis vectors for the subspace. Therefore, the encoded information consists of subspace indices, basis vectors and transform coefficients. We adopt a vector quantization scheme and a predictive partial matching scheme to encode subspace indices and basis vectors, respectively. We also propose a rate-distortion optimized quantizer to encode transform coefficients efficiently. Simulation results demonstrate that the proposed algorithm provides better compression performance than JPEG, especially at low bitrates

关键词： Rate-distortion Image coding Principal component analysis Clustering algorithms Signal processing algorithms Vector quantization Bit rate Entropy computer science Transform coding

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Neural Network Recognition of Spherical Bodies Set Grain-Size Distribution Using Envelope of Surface

Neural Network Recognition of Spherical Bodies Set Grain-Siz...

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International Joint Conference on Neural Networks (IJCNN)

作者： A.I. Galushkin P.A. Kazantsev S.V. Korobkova A.M. Lodyagin S.V. Panteleev Wireless Signal Processing and Network Laboratory Ministry of Education Beijing University of Posts and Telecommunications Beijing China School of Electrical Electronic and Computer Engineering Newcastle University School of Engineering and Applied Science Princeton University Princeton NJ USA

Presented in this paper is a neural network method used for recognition of spherical bodies set grain-size distribution using a data taken from envelope surface of a given set. Development was carried out in accordance with principles designed for neurocomputer-based measurement devices. These principles concern measurement devices featured by complicated nonlinear dependency between physical parameter being measured and indirect measurement values. In simple applications this dependency is substituted by scale calibration function for this measurement device. Results presented in this article were obtained using 3D-model set. Diameters of bodies, included in this set, lit the range used as standard at ore mining and processing enterprises. Described herein are the neural network algorithm, as well as a method used for informative training and test sets composition, required for effective training and verification of neural network system. Moreover, we present a comparison between neural network approach and known linear methods.

关键词： Neural networks Optical materials Adaptive systems Electromagnetic measurements Ultrasonic variables measurement Cameras Ores Iron Belts Measurement units

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Immune-inspired Dynamic Optimization for Blind Spatial Equalization in Undermodeled Channels

Immune-inspired Dynamic Optimization for Blind Spatial Equal...

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Congress on Evolutionary Computation

作者： C. Junqueira F.O. de Franca R.R.F. Attux C.M. Panazio L.N. de Castro F.J. von Zuben J.M.T. Romano Laboratory of Signal Processing for Communications (DSPCom) School of Electrical and Computer Engineering (FEEC) State University of Campinas-UNICAMP Sao Paulo Brazil Laboratory of Bioinformatics and Bio-inspired Computing (LBiC) School of Electrical and Computer Engineering (FEEC) State University of Campinas-UNICAMP Sao Paulo Brazil LCS/PTC/EPUSP University of São Paulo Sao Paulo Brazil Catholic University of Santos Unisantos Sao Paulo Brazil

In this work, we propose an evolutionary-like approach to the problem of blind adaptive spatial filtering that is based on the decision-directed criterion and on the dopt-aiNet, an artificial immune network conceived to perform multimodal search in dynamic environments. The proposal was tested under static and time-varying undermodeled channel models, and, in all cases, its ability to find and track a solution close to the Wiener global optimum was attested. The obtained results reveal that the dopt-aiNet may decisively enhance the performance of adaptive arrays in scenarios built from elements that are representative of some aspects of real-world communication systems.

关键词： Blind equalizers Adaptive arrays Radio frequency Diversity reception Biomedical signal processing Laboratories Linear antenna arrays Antenna arrays Intelligent networks Adaptive filters

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Medical Data Mining using Particle Swarm Optimization for Temporal Lobe Epilepsy

Medical Data Mining using Particle Swarm Optimization for Te...

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Congress on Evolutionary Computation

作者： M. Ghannad-Rezaie H. Soltanain-Zadeh M.-R. Siadat K.V. Elisevich Henry Ford Health System and Wayne State University Detroit MI USA Radiology Image Analysis Laboratory Henry Ford Health System Detroit MI USA Control and Intelligent Processing Center of Excellence School of Electrical and Computer Engineering University of Tehran Tehran Iran Neurosurgery Department Henry Ford Health System Detroit MI USA

In clinical problems, numerous factors are usually involved in a medical syndrome. New advances in medicine provide a broad range of diagnosis methods to cover all aspects of a disease. However, huge amounts of raw information may confuse clinicians and decrease decision accuracy. computerized knowledge extraction is an active area of research in medical informatics. This paper suggests a new medical data mining approach using an advanced swarm intelligence data mining algorithm. Considering medical knowledge discovery difficulties, this approach addresses common issues such as missing value management and interactive rule extraction. Here, surgery candidate selection in temporal lobe epilepsy is the main target application. However, the general idea can be applied to other medical knowledge discovery problems. Experimental results show noticeable performance improvement in the final rule-set quality while the method is flexible and fast.

关键词： Data mining Particle swarm optimization Temporal lobe Epilepsy Medical diagnostic imaging Biomedical imaging Coronary arteriosclerosis Diseases Surgery Medical services

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Simulation of infrared bandpass filter using three-dimensional FDTD method

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Wuhan Ligong Daxue Xuebao/Journal of Wuhan University of Technology 2006年第1期28卷 102-104页

作者： Wang, Lin Zhang, Lin Zhou, Jian Qiang, Rui Chen, Ji School of Information Engineering Wuhan University of Technology Wuhan 430070 China State Key Laboratory of Advanced Technology for Materials Synthesis and Processing Wuhan University of Technology Wuhan 430070 China Department of Electrical and Computer Engineering University of Houston Housten United States

In this research, we developed a three-dimensional finite-difference-time-domain algorithm that incorporated the Lorentz-Drude model through the use of Z-transform technique. This algorithm was used to compute the spectral response of infrared bandpass filters which consisted of the openings of cross-shaped structures in a thin gold film. In creating structures, a graphical user interface was built using Matlab development environment. The created structures were then simulated by running the simulation code written in Fortran. It was observed that cross-shaped structures with large center-broadening effect yielded the highest transmission intensity among the structures that were simulated with a transmittance of approximately 80% at the wavelength of 1.2 μm.

关键词： FDTD Infrared bandpass filter Three-dimensional simulation

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An efficient distributed algorithm for constructing delay- and degree-bounded application-level multicast tree

An efficient distributed algorithm for constructing delay- a...

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8th International Symposium on parallel Architectures, Algorithms and Networks, I-SPAN 2005

作者： Feng, Liu Jingshu, Huang Xicheng, Lu Yuxing, Peng National Laboratory for Parallel and Distributed Processing Changsha 410073 China School of Electrical and Computer Engineering Purdue University West Lafayette IN 47907-2035 United States

ISBN: (纸本)0769525091

In this paper we investigate the problem of finding a delay- and degree-bounded maximum sum of nodes application level multicast tree. We then proved the problem is NP-hard, and its relationship with the well-studied degree-bounded minimum maximum-delay multicast tree problem. We propose a distributed algorithm - OverStream, which adopts PPAF heuristic for father node to choose optimal child nodes based on multiple network parameters. Simulation results show that our algorithm is better than OMNI, SpreadIt, HMTP, and Zigzag in general. © 2005 IEEE.

关键词： Algorithms

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On design of cluster and grid computing environment toolkit for bioinformatics applications∗ 6th

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6th International Workshop on Distributed Computing, IWDC 2004

作者： Yang, Chao-Tung Kuo, Yu-Lun Li, Kuan-Ching Gaudiot, Jean-Luc High Performance Computing Laboratory Dept. of Computer Science and Information Engineering Tunghai University Taichung40744 Taiwan Parallel and Distributed Processing Center Dept. of Computer Science and Information Management Providence University Taichung43301 Taiwan Parallel and Scalable Computer Architecture Laboratory Dept. of Electrical Engineering and Computer Science University of California – Irvine IrvineCA92697 United States

ISBN: (纸本)9783540240761

In this paper, we present BioGrid, a novel computing resource that combines advantages of grid computing technology with bioinformatics parallel applications. The grid environment permits the sharing of a large amount of idle computing resources and data. The investigation of bioinformatics demands orders of magnitude of computing resources and in parallel, the biological data are growing in such a high speed. By using BioGrid, we plan to integrate and share resources and biological data using the grid computing technology. Still in this paper, the well-known FASTA application is performed as matter of testing and analysis in our grid computing platform, as goal to show the improved efficiency and reduced computation time. © Springer-Verlag Berlin Heidelberg 2004.

关键词： Bioinformatics

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Effective shot boundary classification using video spatial-temporal information

Effective shot boundary classification using video spatial-t...

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IEEE International Symposium on Circuits and Systems 2005, ISCAS 2005

作者： Hong, Lu Bei, Wang Xiangyang, Xue Tan, Yap-Peng Intelligent Information Processing Laboratory Department of Computer Science and Engineering Fudan University Shanghai China School of Electrical and Electronic Engineering Nanyang Technological University Singapore Singapore

ISBN: (纸本)9780780388345

We propose in this paper a new video shot boundary classification (SBC) method. First we present a method to extract features, which exploits the spatial-temporal information of video frames in a sliding window centered at the detected shot boundary. Then feature projection and classification methods such as principal component analysis (PCA) and linear discriminant analysis (LDA) combined with k-nearest neighbor classification, and hierarchical discriminant regression (HDR) are proposed to classify different types of shot boundaries. Experimental results have shown the effectiveness of the proposed SBC method. © 2005 IEEE.

关键词： Principal component analysis

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Program segmentation for TV videos

Program segmentation for TV videos

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IEEE International Symposium on Circuits and Systems 2005, ISCAS 2005

作者： Liang, Liuhong Lu, Hong Xue, Xiangyang Tan, Yap-Peng Intelligent Information Processing Laboratory Department of Computer Science and Engineering Fudan University Shanghai China School of Electrical and Electronic Engineering Nanyang Technological University Shanghai Singapore

ISBN: (纸本)9780780388345

A number of video browsing and retrieval systems use a hierarchical video structure (video, scene, group, shot, and key frame) as the basis for information organization and access. However, this structure cannot represent and manage efficiently the videos recorded from TV channels, since TV videos are usually very long and consist of many scenes. More importantly, people tend to watch these videos by program and not by scenes or shots. To address this problem, we insert a new structure level, referred to as program, between the video and scene level to enhance the hierarchical structure representation. An automatic program segmentation algorithm is presented for constructing the video structure in this paper. Experimental results based on real-world TV videos demonstrate the effectiveness of the proposed approach. © 2005 IEEE.

关键词： Hierarchical systems

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Efficient rate control for MPEG-2 to H.264/AVC transcoding

Efficient rate control for MPEG-2 to H.264/AVC transcoding

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IEEE International Symposium on Circuits and Systems 2005, ISCAS 2005

作者： Xiao, You-Neng Lu, Hong Xue, Xiangyang Nguyen, Viet-Anh Tan, Yap-Peng Intelligent Information Processing Laboratory Department of Computer Science and Engineering Fudan University Shanghai China School of Electrical and Electronic Engineering Nanyang Technological University Singapore Singapore

ISBN: (纸本)9780780388345

A new video coding standard H.264/AVC has been recently standardized. It achieves its high coding efficiency by employing a number of advances in video coding technology. In this paper we propose an efficient rate control method for MPEG-2 to H.264/AVC transcoding. Specifically, the values of quantization parameters for I and B frames are computed adaptively based on the side information from the precoded video. Simulations show that our proposed method can meet the target bitrate accurately and achieves a better performance than the rate control scheme of the reference software H.264/AVC JM 7.4 without increasing the complexity. © 2005 IEEE.

关键词： Motion Picture Experts Group standards

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