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International Conference on Telecommunications (ICT)

作者： Alireza Kenarsari Anhari Shabnam Sodagari Alireza Nasiri Avanaki Department of Electrical and Computer Engineering University of British Columbia Vancouver BC Canada Control and Intelligent Processing Center of Excellence School of Electrical and Computer Engineering University of Tehran Tehran Iran

Designed to diminish the artifacts caused by application of the state-of-the-art error concealment methods, a hybrid error concealment scheme is introduced. The proposed scheme stands out by using the inherent spatial redundancy of natural images along with a data hiding technique to obtain the information required for reconstruction of the lost parts of the image at the receiver. Furthermore, to maintain the quality of the received image in high packet loss conditions, an alternative scheme is proposed which will be activated in response to a receiverpsilas feedback reporting a high packet loss ratio. Our simulation results show that the proposed scheme outperforms the existing methods in terms of the quality of the received image and computational cost.

关键词： Transform coding Watermarking Image coding Decoding Approximation methods Interpolation Estimation

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A New Time Delay Estimation Method for Displacement Estimation in Ultrasound Elastography

A New Time Delay Estimation Method for Displacement Estimati...

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2008 9th International Conference on Signal Processing(ICSP’2008)

作者： A.Khadem S.Kamaledin.Setarehdan Control and Intelligent Processing Center of Excellence Faculty of Electrical and Computer EngineeringUniversity of TehranTehranIran

Ultrasound Elastography(UE) is a non-invasive technique to image the elasticity distribution of the soft *** UE two ultrasound RF signals obtained before and after applying a compressing load on the tissue are processed for local time delay estimation(TDE) between *** increase the accuracy of the TDE,it is necessary to use a sub-sample TDE *** this paper a new TDE method based on the SSDspline TDE is presented which not only directly produces continuous time delay estimates from the sampled data but also provides a higher rate of accuracy in final elastograms by compensating for the decorrelation of the post-compression RF signals due to the applied ***,a two-stage procedure is proposed to reduce the processing *** experimental results show the proposed algorithm outperforms the golden TDE method of "SSD with cubic spline fitting sub-sample TDE" technique in terms of the SNRe and CNRe.

关键词： SSD A New Time Delay Estimation Method for Displacement Estimation in Ultrasound Elastography

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A quality preserving exact histogram specification

A quality preserving exact histogram specification

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International Symposium on Telecommunications, IST

作者： Alireza Nasiri Avanaki Control and Intelligent Processing Center of Excellence School of Electrical and Computer Engineering University of Tehran Tehran Iran

The state-of-the-art exact histogram specification algorithm by Coltuc and others is improved. We use the image generated by this method as our initial starting point and improve its visual quality by application of several histogram-invariant transformations on the image, making it more and more similar to the source image. Experimental results verify the superb performance of the proposed method.

关键词： Histograms Pixel Visualization Watermarking Sensitivity MATLAB Transforms

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Linear Discriminant Analysis of the Wavelet Domain Features for Automatic Classification of Human Chromosomes

Linear Discriminant Analysis of the Wavelet Domain Features ...

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2008 9th International Conference on Signal Processing(ICSP’2008)

作者： M.Javan Roshtkhari S.Kamaledin Setarehdan Control and Intelligent Processing Center of Excellence Faculty of Electrical and Computer EngineeringUniversity of TehranTehranIran

Karyotyping is a common method in *** classification of the chromosomes within the microscopic images is the first step in designing an automatic karyotyping *** is a difficult task especially if the chromosome is highly curved within the *** paper introduces a new Wavelet Transform based Linear Discriminant Analysis based feature vector for discriminating both normal and automatically straightened chromosomes in group E.A three layer feed-forward perceptron neural network,which is trained by means of the backpropagation algorithm,is used to classify the input chromosome into one of the three classes in the group *** tested on a data set of 303 highly curved chromosomes after automatically straightening by a previously reported method by the authors of current article [1] an average correct classification rate of 99.3% was obtained.

关键词： image Wavelet Linear Discriminant Analysis of the Wavelet Domain Features for Automatic Classification of Human Chromosomes

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Distributed protocol for communications among underwater vechiles

2008 IEEE International Conference on System of Systems Engi...

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2008 IEEE International Conference on System of Systems engineering, SoSE 2008 2008年

作者： Nagothu, Kranthimanoj Joordens, Matthew Jamshidi, Mo Autonomous Control Engineering Center Department of Electrical and Computer Engineering University of Texas at San Antonio One UTSA Circle San Antonio TX 78249 United States

ISBN: (纸本)9781424421732

Underwater surveying by swarms of autonomous underwater vehicles presents problems in communication among the robots. These problems involve the bandwidth, power consumption, timing, processing power, and other Issues. This paper presents a novel approach to communicate and coordinate effectively among underwater vehicles to accomplish this task successfully. The proposed approach solves issues by reducing the number of hops to conserve power, while reducing computation time and bandwidth, effectively utilizing resources to reduce the load on each node. Finally, the simulation results are presented, In order to prove that the proposed approach improves efficiency and effectiveness in communicating among underwater vehicles. © 2008 IEEE.

关键词： Bandwidth

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A Parametric Lyapunov Equation Approach to the Design of Low Gain Feedback

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IEEE Transactions on Automatic control 2008年第6期53卷 1548-1554页

作者： Bin Zhou Guangren Duan Zongli Lin Center of Control Theory and Guidance Technology Harbin Institute of Technology Heilongjiang China Department of Electrical and Computer Engineering University of Virginia Charlottesville VA USA

Low gain feedback has found several applications in constrained control systems, robust control and nonlinear control. Low gain feedback refers to a family of stabilizing state feedback gains that are parameterized in a scalar and go to zero as the scalar decreases to zero. Such feedback gains can be constructed either by an eigenstructure assignment algorithm or through the solution of a parametric algebraic Riccati equation (ARE). The eigenstructure assignment approach leads to feedback gains in the form of a matrix polynomial in the parameter, while the ARE approach requires the solution of an ARE for each value of the parameter. This note proposes an alternative approach to low gain feedback design based on the solution of a parametric Lyapunov equation. Such an approach possesses the advantages of both the eigenstructure assignment approach and the ARE-based approach. It also avoids the possible numerical stiffness in solving a parametric ARE and the structural decomposition of the open loop system that is required by the eigenstructure assignment approach.

关键词： State feedback Linear systems Nonlinear control systems control systems Riccati equations Hydraulic actuators Poles and zeros Performance gain Robust stability Optimal control

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IEEE Transactions on Haptics: Editorial

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IEEE Transactions on Haptics 2008年第1期1卷 2-8页

作者： Edward Colgate, J. Lederman, Susan Prattichizzo, Domenico Barbagli, Federico Basdogan, Cagatay Buss, Martin Ernst, Marc Frisoli, Antonio Gillespie, Brent Grant, Danny Harders, Matthias Hayward, Vincent Jones, Lynette Kajimoto, Hiroyuki Kappers, Astrid Kheddar, Abderrahmane Lin, Ming C. MacLean, Karon Miller, Brian Noma, Haruo Okamura, Allison M. O'Malley, Mareia Ryu, Jeha Tan, Hong Z. Yokokohji, Yasuyoshi Department of Psychology School of Computing Queen's University Canada IEEE Robotics and Automation Society Tübingen Germany Stanford University's Computer Science Department Tübingen Germany Institute of Automatic Control Engineering Technische Universität München Germany Independent Research Group Multisensory Perception and Action Max Planck Institute for Biological Cybernetics Tübingen Germany Department of Applied Mechanics SSSA Japan Research Division Virtual Reality and Telerobotic Systems PERCRO Laboratory Japan Department of Mechanical Engineering Japan Department of Robotics McGill University Canada Computer Vision Lab ETH Zurich Japan Virtual Reality in Medicine Group Japan IEEE CS/RAS Technical Committee on Haptics Japan Department of Electrical and Computer Engineering McGill University Canada Department of Mechanical Engineering MIT Japan University of Electro-Communications Japan Department of Physics and Astronomy Utrecht University Netherlands University of Evry France Chapel Hill United States Department of Computer Science University of British Columbia Canada ATR Knowledge Science Lab United Kingdom Department of Mechanical Engineering Denmark Johns Hopkins University United States Laboratory for Computational Sensing and Robotics United Kingdom Engineering Research Center for Computer-Integrated Surgical Systems and Technology United States Mechanical Engineering and Materials Science Department Rice University United States Korea Republic of Department of Electrical and Computer Engineering Mechanical Engineering and Psychological Sciences Purdue University United States Department of Mechanical Engineering and Science Graduate School of Engineering Kyoto University Japan

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SENSOR FUSION USING FUZZY INTEGRAL AND DIVERSE BAYESIAN NETWORKS

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IFAC Proceedings Volumes 2008年第2期41卷 10421-10426页

作者： Jamie Walls Albert Esterline Abdollah Homaifar Author Autonomous Control and Information Technology Center (ACIT) Electrical & Computer Engineering Department North Carolina Agricultural & Technical State University Greensboro NC

This paper investigates and contrasts the use of different Bayesian networks and a fuzzy integral for real-time sensor fusion using sonar and rangefinder laser values on an ActivMedia robot. Bayesian networks have become increasingly popular because of their ability to capitalize on the conditional probabilities present in an influence chain. The Choquet fuzzy integral, which has primarily been used for statistical analysis, has a great power of description. Comparison of the two methods indicates that noise within the sensor network can drastically affect the accuracy of the results, especially those obtained using the Bayesian network.

关键词： Information and sensor fusion Autonomous robotic systems Data-fusion Multi sensor systems Guidance navigation and control Intelligent robotics

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A behavioral model of writing

A behavioral model of writing

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International Conference on electrical and computer engineering (ICECE)

作者： M. Naghibolhosseini F. Bahrami Control and Intelligent Processing Center of Excellence (CIPCE) School of Electrical and Computer Engineering University of Tehran Tehran Iran

In this paper we propose a new model to generate handwriting based on behavioral patterns we believe is to be found in humans when imitating a written character. The proposed algorithm has a hierarchical structure. It is consisted of two main levels. At the first level the graphical features of the written letter to be imitated are extracted. These features are the directions of movement for each stroke. To extract the strokes that shape a letter, zero crossings of vertical and horizontal spatial velocity profiles are determined. At the second part a given letter is regenerated by using the extracted directions. At this level, the letter is linearly divided into several subdivisions. After that the excursion length (step) and the slope of line-segments producing the subdivisions are estimated. In each trial of learning, trajectory points are chosen with the estimated step and a random slope. The final trajectory is produced by successive arrangement of the strokes. In each trial the slope and step of the target point has a distance less than a specified threshold from the actual path is stored in memory and others are generated again. This process will continue during different trials until the trajectory can be generated using only memory. The resulted trajectories for different letters written by different subjects are qualitatively and quantitatively similar to the actual trajectories generated by human.

关键词： Writing Humans Trajectory Handwriting recognition computational modeling Muscles Process control Intelligent control Character generation Feature extraction

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Random-party entanglement distillation in multiparty states

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Physical Review A 2008年第1期78卷 012348-012348页

作者： Ben Fortescue Hoi-Kwong Lo Center for Quantum Information and Quantum Control Department of Electrical and Computer Engineering University of Toronto Toronto ON M5S 3G4 Canada

We describe various results related to the random-party distillation of multiparty entangled states—that is, conversion of such states into entangled states shared between fewer parties, where those parties are not predetermined. In previous work we showed that certain output states (namely Einstein-Podolsky-Rosen pairs) could be reliably acquired from a prescribed initial multipartite state [namely the W state |W⟩=13(|100⟩+|010⟩+|001⟩)] via random-party distillation that could not be reliably created between predetermined parties. Here we provide a more rigorous definition of what constitutes “advantageous” random-party distillation. We show that random-party distillation is always advantageous for W-class three-qubit states (but only sometimes for Greenberger-Horne-Zeilinger class states). We show that the general class of multiparty states known as symmetric Dicke states can be readily converted to many other states in the class via random-party distillation. Finally we show that random-party distillation is provably not advantageous in the limit of multiple copies of pure states.

关键词： Distillation

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