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International Forum on Strategic Technology, IFOST

作者： V.V. Govorushko V.B. Novoseltsev The Faculty of Computer Science and Engineering Control System Optimization Department Cybenetic Center Tomsk Polytechnic University Tomsk Russia

In this paper, we discuss the relational algebra and recursive relationships between binary and ternary relationships in entity-relationship modeling. We define the interpretation of the recursive tables that can be applied to the complicated relationships having the same participating entities. We propose a new approach to modeling that is suitable for representing self-similar objects and for creating hierarchical structures. It combines methods of the set theory for the recursive relations within a single modeling paradigm, allowing users to define self-similar, partially self-similar, or hierarchical systems in a consistent and flexible manner. The use of recursive relationships in the definitions of self-similar objects yields representations that can be rendered at varying levels of detail or precision at run time.

关键词： Algebra Relational databases Data models Set theory Mathematical model Logic functions computer science systems engineering and theory control systems Hierarchical systems

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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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Landing motion analysis of human-body model considering impact and ZMP condition

Landing motion analysis of human-body model considering impa...

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IEEE International Workshop on Intelligent Robots and systems (IROS)

作者： Byung Rok So Byung-Ju Yi Sang-Rok Oh Young Soo Kim School of Electrical Engineering and Computer Science Hanyang University Ansan Gyeonggi South Korea KIST Intelligent System Control Research Center South Korea Department of Medicine Hanyang University South Korea

This paper deals with modeling and analysis for the landing motion of a human-body model. First, the dynamic model of a floating human body and the impact model are derived and the external impulse exerted on the ground as well as the internal impulse experienced at the joints of the human body model are investigated. Second, a motion planning algorithm exploiting the kinematic redundancy is suggested to ensure stability in terms of ZMP stability condition during a series of landing phases. Four phases of landing motion are investigated. In simulation, the external and internal impulses experienced at the human joints and the ZMP history resulting from the motion planning are analyzed for two different configurations. A desired landing posture is suggested by comparison of the simulation results.

关键词： Motion analysis Biological system modeling Humans Manipulators Joints Kinematics Legged locomotion Service robots Equations Stability

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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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Activation detection in multi-subject studies of fMRI using GLRT

Activation detection in multi-subject studies of fMRI using ...

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IEEE Symposium on Nuclear Science (NSS/MIC)

作者： S.M. Shams G.A. Hossein-Zadeh H. Soltanian-Zadeh Control and Intelligent Processing Center of Excellence Electrical and Computer Engineering Department Institute for Studies in Theoretical Physics and Mathematics University of Tehran School of Cognitive Sciences Tehran Iran Control and Intelligent Processing Center of Excellence Electrical and Computer Engineering Department Institute for Studies in Theoretical Physics and Mathematics and Medical Image Analysis Laboratory Henry Ford Health System University of Tehran School of Cognitive Sciences Iran

A new method based on generalized likelihood ratio test (GLRT) for activation detection in multi-subject studies of functional MRI (fMRI) is proposed. In this method, we test the correlation between the fMRI time series of different subjects and the bases of a signal subspace which increases the flexibility of method in detecting different shapes of hemodynamic response. The proposed multivariate method can be applied to group studies where the conventional cross-correlation method cannot be used due to its univariate property. This method is applied to both experimental and simulated fMRI data and the results are compared to those of general linear model (GLM). We show that the proposed method detects more significant activated regions in analyzing experimental data and more true voxels in simulated data

关键词： Testing Hemodynamics Brain modeling Process control Intelligent control Physics computing Mathematics Time series analysis Magnetic resonance imaging Data analysis

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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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Reactive tabu search for optimal power flow under constrained emission dispatch

Reactive tabu search for optimal power flow under constraine...

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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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Diversity control approach to ant colony optimization for unit commitment problem

Diversity control approach to ant colony optimization for un...

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IEEE Region 10 International Conference TENCON

作者： D. Nualhong S. Chusanapiputt S. Phomvuttisarn T. Saengsuwan 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 Mahanakorn University Bangkok Thailand Center of Excellence in Electrical Power Technology Faculty of Engineering Chulalongkom University Bangkok Thailand Department of Electrical Engineering Faculty of Engineering Kasetsart University Bangkok Thailand Department of Computer Engineering and Satellite Research Center Faculty of Engineering Mahanakom University of Technology Bangkok Thailand

This paper presents a new method to solve the constrained unit commitment problem by applying ant colony optimization (ACO) based on the diversity control approach. The pheromone updating rule is modified to control the diversification by adopting a simple mechanism for random selection in ACO. The proposed method is tested on the 10-unit test system with a scheduling time horizon of 24 hours. The numerical results show an economical saving in the total operating cost when compared to the previous literature results. Moreover, two types of the proposed diversity control technique have the features of easy implementation and a better convergence rate superior to a standard ACO.

关键词： Ant colony optimization

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