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IEEE International Conference on Image Processing

作者： Nhat Vu Pratim Ghosh B. S. Manjunath Department of Electrical and Computer Engineering Center for Bio-image Informatics University of California Santa Barbara CA USA

The expression levels of rod opsin and glial fibrillary acidic protein (GFAP) capture important structural changes in the retina during injury and recovery. Quantitatively measuring these expression levels in confocal micrographs requires identifying the retinal layer boundaries and spatially corresponding the layers across different images. In this paper, a method to segment the retinal layers using a parametric active contour model is presented. Then spatially aligned expression levels across different images are determined by thresholding the solution to a Dirichlet boundary value problem. Our analysis provides quantitative metrics of retinal restructuring that are needed for improving retinal therapies after injury.

关键词： Retina Active contours Image segmentation Injuries Labeling Image converters informatics Protein engineering Boundary value problems Medical treatment

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Simulation control of a biped robot with Support Vector Regression

Simulation control of a biped robot with Support Vector Regr...

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IEEE International Symposium on Intelligent Signal Processing

作者： Joao P. Ferreira Manuel Crisostomo A. Paulo Coimbra Bernardete Ribeiro Institute of Systems and Robotics Department of Electrical and Computer Engineering University of Coimbra Portugal CISUC Department of Informatics Engineering University of Coimbra Coimbra Portugal

ISBN: (纸本)1424408296;97

This paper describes the control of an autonomous biped robot that uses the Support Vector Regression (SVR) method for its longitudinal balance. This SVR uses the Zero Moment Point (ZMP) position and its variation as input and the longitudinal correction of the robot's body is obtained as the output. The SVR was trained based on simulation data that was confirmed with the real robot. This method showed to be faster (with similar accuracy) than a recurrent network or a neuro-fuzzy control of the biped balance.

关键词： Control systems Stability Nonlinear control systems Computational modeling Robot control Mathematical model Humans Kinematics Torso computer simulation

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Using spectral analysis to determine the equivalent circuit of the output filter of DC-DC converters at their operating frequency

Using spectral analysis to determine the equivalent circuit ...

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International Aegean Conference on electrical Machines and Power Electronics, ACEMP

作者： Acacio M. R. Amaral A. J. Marques Cardoso Department of Electrical and Computer Engineering University of Coimbra Coimbra Portugal Department of Informatics and Systems Polytechnic Institute of Coimbra Coimbra Portugal

The aim of this paper is to present an on-line technique which can be used to determine the equivalent circuit of the storage elements of DC-DC converters at their operating frequency. This technique can be used not only for the determination of both inductor and capacitor equivalent circuits, but also as a fault diagnostic technique, in order to evaluate the state condition of these components. The proposed technique uses the spectral analysis in order to obtain the relation between inductor current and voltage, and between inductor current and output voltage ripple. From these relationships, it is possible to determine the equivalent circuit of the inductor and capacitors at the operating frequency of the converter. In this paper, several experimental and simulated results are presented in order to demonstrate the accuracy of the proposed method.

关键词： Spectral analysis Equivalent circuits Filters DC-DC power converters Frequency conversion Inductors Capacitors Voltage Circuit faults Circuit simulation

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Knowledge based system for reliable perimeter protection using sensor networks

Knowledge based system for reliable perimeter protection usi...

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WINSYS 2007 - 2nd International Conference on Wireless Information Networks and Systems

作者： Voloencu, Constantin Curiae, Daniel-Loan Banias, Ovidiu Doboli, Alex Dranga, Octavian Automatics and Applied Informatics Department Politehnica University of Timisoara Bd. V. Parvan nr. 2 300223 Timisoara Romania Electrical and Computer Engineering Department State University of New York NY 11794-2350 United States School of Engineering James Cook University Townsville QLD 4811 Australia

This paper provides a strategy for perimeter protection using sensor networks with hardware and analytical redundancy. The sensor network reliability is augmented using a knowledge-based system, which implicates the analysis of the trustworthiness of each sensor. For this, we used two stratagems: one that relies on hardware redundancy based on the Confidence Weighted Voting Algorithm and one that relies on analytical redundancy based on a neural perceptron predictor that uses past and present values obtained from neighbouring nodes. This solution can be also a way to discover the malfunctioning nodes that were subjects of an attack and it is localized at the base station level being suitable even for large-scale sensor networks.

关键词： Neural networks

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MPI-HMMER-boost: Distributed FPGA acceleration

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Journal of VLSI Signal Processing Systems for Signal, Image, and Video Technology 2007年第3期48卷 223-238页

作者： Walters, John Paul Meng, Xiandong Chaudhary, Vipin Oliver, Tim Yeow, Leow Yuan Nathan, Darran Schmidt, Bertil Landman, Joseph Institute for Scientific Computing Wayne State University Detroit MI 48202 United States Electrical and Computer Engineering Department Wayne State University Detroit MI 48202 United States Department of Computer Science and Engineering University at Buffalo State University of New York Buffalo NY 14260 United States Progeniq Pte Ltd. 8 Prince George's Park 118407 Singapore Singapore UNSW Asia 1 Kay Siang Road 248922 Queenstown Singapore Scalable Informatics LLC 2433 Woodmont Canton MI 48188 United States

HMMER, based on the profile Hidden Markov Model (HMM) is one of the most widely used sequence database searching tools, allowing researchers to compare HMMs to sequence databases or sequences to HMM databases. Such searches often take many hours and consume a great number of CPU cycles on modern computers. We present a cluster-enabled hardware/software-accelerated implementation of the HMMER search tool hmmsearch. Our results show that combining the parallel efficiency of a cluster with one or more high-speed hardware accelerators (FPGAs) can significantly improve performance for even the most time consuming searches, often reducing search times from several hours to minutes. © 2007 Springer Science + Business Media, LLC.

关键词： Data mining

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A Pipelined Recurrent Fuzzy Neural Filter for the Separation of Lung Sounds

A Pipelined Recurrent Fuzzy Neural Filter for the Separation...

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IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

作者： Dimitris Stavrakoudis Paris Mastorocostas John Theocharis Department of Electrical and Computer Engineering Aristotle University of Thessaloniki Greece Department of Informatics and Communications Technological Educational Institute of Serres Serres Greece

This paper presents a recurrent fuzzy-neural filter that performs the task of separation of lung sounds, obtained from patients with pulmonary pathology. The filter is a pipelined Takagi-Sugeno-Kang recurrent fuzzy network, consisting of a number of modules interconnected in a cascaded form. The participating modules are implemented through recurrent fuzzy neural networks with internal dynamics. The structure of the modules is evolved sequentially from input-output data. Extensive experimental results, regarding the lung sound category of crackles, are given, and a performance comparison with a series of other fuzzy and neural filters is conducted, underlining the separation capabilities of the proposed filter.

关键词： Lungs Fuzzy systems Fuzzy neural networks Pathology Takagi-Sugeno-Kang model Inference algorithms Least squares methods Nonlinear filters Delay Neurons

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Fault simulation technique for switch mode power supplies

Fault simulation technique for switch mode power supplies

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International Aegean Conference on electrical Machines and Power Electronics and Electromotion ACEMP'07 and Electromotion'07 Joint Conference

作者： Amaral, Acácio M. R. Cardoso, A.J. Marques Polytechnic Institute of Coimbra ISEC Department of Informatics and Systems Rua Pedro Nunes - Quinta da Nora P - 3030-199 Coimbra Portugal University of Coimbra FCTUC / IT Department of Electrical and Computer Engineering Pólo II - Pinhal de Marrocos P - 3030-290 Coimbra Portugal

ISBN: (纸本)1424408911

The aim of this paper is to present a fault simulation technique that could help engineers to study the consequences of faults in the output filter of a switch mode power supply. To do so, in this paper, it is presented two techniques: a new experimental off-line technique based in the DFT algorithmic, which can determine the equivalent circuit of capacitors at the operating frequency of the converter, and a simulation technique based in Laplace transform, which could predict the behavior of the converter. Simulation and experimental results win De presented in order to prove the applicability of both techniques. © 2007 IEEE.

关键词： Equivalent circuits

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A pattern recognition application framework for biomedical datasets

A pattern recognition application framework for biomedical d...

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作者： Vivanco, Rodrigo Demko, Aleksander B. Jarmasz, Mark Somorjai, Ray L. Pizzi, Nick J. BMI Group Department of Physics University of Manitoba Departments of Computer Science and Electrical and Computer Engineering University of Manitoba Biomedical Informatics Group Institute for Biodiagnostics National Research Council Canada 435 Ellice Ave. Winnipeg Man. R3B-1Y6 Canada

Scopira facilitates the development of high-performance applications by providing many useful subsystems, flexible and efficient data models, low-level tools such as memory management and serialization, GUI constructs, high-level visualization modules, and the ability to implement parallel algorithms with MPI. Scopira plug-in extensions have been developed to enable Matlab scripts to easily call any Scopira module, thus facilitating the migration of prototypes to highly efficient C++ applications. Scopira is continuously under development and future capabilities will include the ability to develop distributed programs using agents, applicable to grid-computing data mining applications. Scopira has proven to be a successful programming framework for implementing high-performance biomedical data analysis applications. It is based on C++, an efficient object-oriented language, and the source code is available as an open-source project for other researchers to use and adapt to their own research endeavours. Scopira has been compiled to work on Linux and Windows XP operating systems with a port to the Mac OS under development. Scopira, EvIdent and RDP are freely available for download from ***. ©2007 Canadian Crown Copyright.

关键词： Pattern recognition

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Using spectral analysis to determine the equivalent circuit of the output filter of DC-DC converters at their operating frequency

Using spectral analysis to determine the equivalent circuit ...

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International Aegean Conference on electrical Machines and Power Electronics and Electromotion ACEMP'07 and Electromotion'07 Joint Conference

作者： Amaral, Acácio M. R. Cardoso, A. J. Marques Polytechnic Institute of Coimbra ISEC Department of Informatics and Systems Rua Pedro Nunes - Quinta da Nora P - 3030-199 Coimbra Portugal University of Coimbra FCTUC / IT Department of Electrical and Computer Engineering Pólo II - Pinhal de Marrocos P - 3030-290 Coimbra Portugal

ISBN: (纸本)1424408911

关键词： Equivalent circuits

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On 3D Partial Matching of Meaningful Parts

On 3D Partial Matching of Meaningful Parts

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IEEE International Conference on Image Processing

作者： A. Mademlis P. Daras D. Tzovaras M.G. Strintzis Department of Electrical & Computer Engineering Aristotle University of Thessaloniki Thessaloniki Greece Informatics and Telematics Institute CERTH Thessaloniki Greece Informatics and Telematics Institute Thessaloniki Greece

In this paper, a method suitable for partial matching between 3D objects is presented. The 3D objects are firstly segmented into meaningful parts extending a method which is based on the medial surface of the objects. Then, geometric features are extracted for each part using the spherical trace transform. The extracted features are combined and their covariance matrix is computed as a descriptor of each part. The contribution of the proposed approach is that a meaningful segmentation of 3D objects based on medial surface is achieved and that partial matching is performed on meaningful parts, in a rotation, translation and scaling invariant manner. The experimental results performed, proved that the proposed approach achieves accurate partial matching results in terms of distinct meaningful parts as well as satisfactory overall accuracy.

关键词： Shape Layout Feature extraction Covariance matrix Information processing informatics Telematics Optimal matching Spatial databases Cost function

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