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IEEE Region 10 International Conference TENCON

作者： D. Nualhong S. Chusanapiputt S. Phomvuttisarn S. Jantarang Electrical Engineering Department Electrical and Control System Engineering Division Electricity Generating Authority of Thailand Bangkok Thailand Department of Electrical Power Engineering Faculty of Engineering Mahanakom University of Technology Bangkok Thailand Center of Excellence in Electrical Power Technology Faculty of Engineering Chulalongkom University Bangkok Thailand Department of Computer Engineering and Satellite Research Center Faculty of Engineering Mahanakom University of Technology Bangkok Thailand

This paper presents an efficient method to obtain the optimal power flow (OPF) problem under constrained emission dispatch by applying reactive tabu search (RTS) algorithm. The RTS is developed as a derivative-free optimization technique in solving constrained emission OPF problem significantly reduces the computational burden with the strategies that make the search process robust and fast. The effectiveness of the proposed approach has been demonstrated through the IEEE 30-bus, 6-generator, test system. The simulation results reveal that the proposed RTS can yield highly optimal solution and tan reduce computational execution time superior to a standard tabu search. Moreover, the proposed method provides better solution than previous literatures with promising results.

关键词： Load flow

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Multilevel validation of online monitor for hard real-time systems

Multilevel validation of online monitor for hard real-time s...

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International Conference on Microelectronics, MIEL

作者： M. Jevtic V. Zerbe S. Brankov Department of Electronics. Faculty of Electronic Engineering University of Nis Nis Serbia Department of System and Control Theory Faculty of Automation and Informatics Technische Universität llmenau Llmenau Germany

To achieve the required performance of complex electronic systems it is necessary to validate the system function during all phases of the design, which means multilevel validation. A hybrid Online Monitor for hard real time systems (HRTS) has been developed. A special attention was dedicated on the multilevel validation in all phases of the design.

关键词： Monitoring Real time systems Hardware system testing Kernel Runtime Automotive engineering Electrical equipment industry Automobiles Circuit faults

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Clustering-based framework for comparing fMRI analysis methods

Clustering-based framework for comparing fMRI analysis metho...

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IEEE International Symposium on Biomedical Imaging

作者： G.-A. Hossein-Zadeh A.-M. Golestani H. Soltanian-Zadeh Control and Intelligent Processing Center of Excellence Electrical and Computer Engineering Department Faculty of Engineering University of Tehran Tehran Iran Image Analysis Laboratory Radiology Department Henry Ford Health System Detroit MI USA

In this paper, a cluster-based framework is introduced for comparing analysis methods of functional magnetic resonance images (fMRI). In the proposed framework, fMRI data is replaced with a feature space and each method considered as a clustering method in the new space. As a result, different methods can be compared by means of a cluster validity measure. The feature space is computed using a non-parametric method (principal component analysis-PCA). Four subjects have been analyzed with three methods and the proposed cluster-based framework has evaluated performance of the methods. The results are identical to those of the modified receiver operating characteristics (ROC). This validates the proposed approach.

关键词： Clustering algorithms Algorithm design and analysis Image analysis Clustering methods Magnetic analysis Testing Accuracy Reproducibility of results Radiology Magnetic resonance

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Multiresolution automatic segmentation of T1-weighted brain MR images

Multiresolution automatic segmentation of T1-weighted brain ...

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IEEE International Symposium on Biomedical Imaging

作者： M. Zeydabadi R.A. Zoroofi H. Soltanian-Zadeh Control and Intelligent Processing Center of Excellence Electrical and Computer Engineering Department Faculty of Engineering University of Tehran Tehran Iran Radiology Department Henry Ford Health System Image Analysis and Communications Laboratory Detroit MI USA

Automatic segmentation of brain tissues is crucial to many medical imaging applications. We use a multi-resolution analysis and a power transform to extend the well-known Gaussian mixture model expectation maximization based algorithm for segmentation of white matter, gray matter, and cerebrospinal fluid from T1-weighted magnetic resonance images (MRI) of the brain. Experimental results with near 4000 synthetic and real images are included. The results illustrate that the proposed method outperforms six existing methods.

关键词： Image resolution Image segmentation Biomedical imaging Multiresolution analysis Image analysis Magnetic analysis Algorithm design and analysis Brain modeling Magnetic liquids Magnetic resonance

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MRSI brain tumor characterization using wavelet and wavelet packets feature spaces and artificial neural networks

MRSI brain tumor characterization using wavelet and wavelet ...

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Annual International Conference of the IEEE engineering in Medicine and Biology Society (EMBC)

作者： A. Yazdan-Shahmorad H. Soltanian-Zadeh R.A. Zoroofi Control and Intelligent Processing Center of Excellence Electrical and Computer Engineering Department Faculty of Engineering University of Tehran Tehran Iran Radiology Department Henry Ford Health System Image Analysis and Communications Laboratory Detroit MI USA

Magnetic resonance spectroscopic imaging (MRSI) is a non-invasive technique for assessing biochemical fingerprint of tissue composition. The need to differentiate between normal and abnormal tissues and determine type of abnormality before biopsy or surgery motivated development and application of MRSI. There are several technical reasons that make the brain easier than other organs to be examined with MRSI. This work presents our proposed methods and results for the analysis of the brain spectra of patients with three tumor types (malignant glioma, astrocytoma, and oligodendroglioma). After extracting features from MRSI data using wavelet and wavelet packets, we use artificial neural networks to determine the abnormal spectra and the type of abnormality. We evaluated the proposed methods using clinical and simulated MRSI data and biopsy results. The MRSI analysis results were correct 97% of the time when classifying the spectra of the clinical MRSI data into normal tissue, tumor, and radiation necrosis. They were correct 72% and 83% of the time when determining tumor types using the clinical and simulated MRSI data, respectively.

关键词： Wavelet packets Neoplasms Artificial neural networks Biopsy Magnetic resonance Spectroscopy Magnetic resonance imaging Fingerprint recognition Surgery Cancer

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Stability of linear time invariant systems with interval fractional orders and interval coefficients

Stability of linear time invariant systems with interval fra...

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International Conference on Computational Cybernetics (ICCC)

作者： I. Petras YangQuan Chen B.M. Vinagre I. Podlubny Department of Informatics and Process Control BERG Faculty Technical University of Kosice Kosice Slovakia Center for Self-Organizing and Intelligent System (CSOIS) Department of Electrical and Computer Engineering Utah State University UT USA Department of Electronic and Electromechanical Engineering Industrial Engineering School University of Extremadura Badajoz Spain

This paper considers the stability of the fractional-order linear time-invariant systems with interval type uncertainties in both fractional orders and the relevant coefficients. It is an extension of our previous result on the robust stability analysis of the interval type uncertain fractional order LTI systems with crisply known fractional orders. We have proposed a stability check procedure for uncertain LTI systems with interval fractional orders and interval coefficients. The procedure is demonstrated with some simple examples

关键词： Time invariant systems Robust stability Stability analysis system testing Differential equations Polynomials Informatics Proportional control Uncertainty Robustness

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Challenge of human factor influence for car safety

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Neural Network World 2004年第1期14卷 37-47页

作者： Novák, Mirko Votruba, Zdenëk Jt. Laboratory of System Reliability Faculty of Transportation Sciences Czech Technical University Prague Institute of Computer Science Acad. of Sci. of the Czech Republic Prague Department of Control Engineering Faculty of Transportation Sciences Czech Technical University Prague

The challenge of human factor influence for analyzing the reliability and safety of car transportation is discussed. An analysis of the density and the kind of use among the drivers in different regions and seasons of the year is made. The possibilities to detect the driver falling into a relaxant, somnolent or micro-sleep stage by the use of suitable combination of secondary factors are investigated. The operation of the driver in the moving car is an example of very complicated interaction between several very heterogeneous systems.

关键词： Motor transportation

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Haptic glove with pneumatic muscle actuators 7

Haptic glove with pneumatic muscle actuators

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7th IFAC Symposium on Robot control, SYROCO 2003

作者： Kopeeny, Lukas Department of Control and Instrumentation Faculty of Electrical Engineering and Communication Technical University of Brno Czech Republic

This work summarises a development and design of a Haptic Glove for use in robotics, especially in telepresence, or in VR as an input and force feedback interface. The force and touch feedback is provided by Pneumatic Muscle Actuators. The design is light, compact and easy to wear for long periods and also provided unrestricted motion of the user's fingers. Copyright © IFAC Robot control, Wroclaw, Poland, 2003.

关键词： Muscle

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Implementation of DSP algorithms using high-level approach 6

Implementation of DSP algorithms using high-level approach

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6th IFAC Workshop on Programmable Devices and systems, PDS 2003

作者： Barva, Martin Zezulka, František Brno University of Technology Faculty of Electrical Engineering and Communication Department of Control and Instrumentation Czech Republic

In most cases, Digital Signal Processing (DSP) algorithms are nowadays implemented using the classical way, that can be denoted as a low-level implementation. With this technique, mathematical equations are directly rewritten into a source code and then compiled into an executable This approach however requires good knowledge of the signal processor and programming itself. This disadvantages can be overcome using another method called the high-level implementation, which uses for executable generation the Matlah and its capability of executable generation from Simulink models. A simulink model is convened by Real-Time Workshop into an executable file for a signal processor. Copyright © 2003 IFAC.

关键词： Digital filters

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Robust output feedback design of linear discrete-time systems - LMI approach 4

Robust output feedback design of linear discrete-time system...

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4th IFAC Symposium on Robust control Design, ROCOND 2003

作者： Rosinova, Danica Vesely, Vojtech Department of Automatic Control System Slovak University of Technology Faculty of Electrical Engineering and IT Bratislava Slovakia

The problem of robust output feedback stabilization is studied. The new robust stability LMI condition including guaranteed cost and the respective simple control design procedure is developed. Though the proposed condition is sufficient, it is supposed not to be overly conservative. To reduce the conservatism parameter-dependent Lyapunov function is employed and an extra degree of freedom is included by using previous results of (Oliveira et al., 1999) and introducing other additional slack matrix and scalar parameters. The example is given to analyse and compare the obtained results with other ones. © 2003 IFAC.

关键词： Lyapunov functions

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