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17th Iranian Conference in Biomedical engineering, ICBME 2010

作者： Zand, Mohammad Danesh Ansari, Amir Hossein Lucas, Caro Zoroofi, Reza Aghaee Zade Department of Electrical and Computer Engineering University of Tehran Tehran Iran Control and Intelligent Processing Center of Excellence University of Tehran Tehran Iran

ISBN: (纸本)9781424474844

Coronary artery heart disease is one of the main reasons of death in under development countries such as Iran. Based on vagueness in data and uncertainty in decision making finding an optimal way for diagnosis would be helpful. The main goal of this article is to change the linguistic terms which doctors use for representing coronary heart disease possibility into classified stages. Indeed the medical diagnosis can be used as an issue of pattern recognition by an input vector of features introduced to a system so the corresponding risk of a particular disease can be estimated with this system. in this paper we used an adaptive network-based inference system in order to assess the risk of coronary artery heart diseases. With this point of view that fault in medical diagnosis are more errors of omission than of commission, we are going to reduce this diagnosis defect with Neuro-fuzzy networks such as Multi-Layer Perceptron (MLP) and an inference Neuro-fuzzy network such as ANFIS. In the last section we will compare these methods to show that ANFIS can obtain the best accommodation with doctor's opinions. © 2010 IEEE.

关键词： Diagnosis

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Traffic state variables estimating and predicting with neural network via extended Kalman filter algorithm with estimated parameters as offline

Traffic state variables estimating and predicting with neura...

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8th IEEE International Symposium on Intelligent Systems and Informatics, SIISY 2010

作者： Abdi, J. Moshiri, B. Jafari, E. Khaki Sedigh, A. Department of Electrical and Computer Engineering Islamic Azad University Science and Research Branch Tehran Iran Control and Intelligent Processing Center of Excellence School of Electrical and Computer Engineering University of Tehran Tehran Iran Department of Electrical and Computer Engineering University of Tehran Tehran Iran Department of Electrical Engineering K. N. Toosi University of Technology Tehran Iran

ISBN: (纸本)9781424473946

Developing mathematical models and estimating their parameters are fundamental issues for studying dynamic behaviors of traffic systems. METANET model is one of the most applicable models in traffic modeling in which the parameters have plenty of effects on the model behavior. In this paper, the effects of the model parameters on the model behavior and the estimation quality of the system states in the undetermined parameters are described. The extended Kalman filtering (EKF) algorithm instead of the error back-propagation (BP) algorithm is used to train artificial neural networks (ANNs) for dynamical traffic networks modeling. The basic idea is to prevent over fitting discrepancy occurrence caused by outliers in the training samples by the EKF. Numerical simulations show that the EKF algorithm is greater to the BP algorithm. ©2010 IEEE.

关键词： Neural networks

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Classification of wide variety range of power quality disturbances based on two dimensional wavelet transformation

Classification of wide variety range of power quality distur...

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1st Power Electronics and Drives, Systems and Technologies Conference, PEDSTC 2010

作者： Mollayi, N. Mokhtari, H. Electrical Engineering Department Sharif University of Technology Tehran Iran Iran Center of Excellence in Power System Management and Control PO Box 1 1365-9363 Tehran Iran

ISBN: (纸本)9781424459728

Identification of voltage and current disturbances is an important task in power system monitoring and protection. In this paper, a new algorithm for online characterization of a wide range of voltage disturbances based on two dimensional wavelet transformation is proposed. This algorithm is more complicated than algorithms based on one dimensional wavelet transformation, but it's more precise and is useful for steady state disturbances, transients with slow variations and transients with rapid changes. After each five cycles, a matrix is formed based on the last fourteen cycles, in a way that the voltage signal in one cycle forms one row of the matrix. Then, the resulted image is decomposed into approximation and details by two dimensional wavelet transformation. Details contain the useful information. By processing the details, special patterns associated with each type of disturbance can be detected. A new algorithm is proposed for extracting suitable features of disturbances based on the details. At the end, the algorithm is implemented using the nearest neighbor classifier system. © 2010 IEEE.

关键词： Power quality

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Distributed cooperative SLAM using an information consensus filter

Distributed cooperative SLAM using an information consensus ...

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AIAA Guidance, Navigation, and control Conference

作者： Sharma, Rajnikant Taylor, Clark N. Casbeer, David W. Beard, Randal W. Department of Electrical and Computer Engineering Brigham Young University United States Sensors Directorate AFRL WPAFB United States Control Science Center of Excellence AFRL WPAFB United States

ISBN: (纸本)9781600869624

This paper aims to improve the performance of cooperative simultaneous localization and mapping (SLAM) by fusing multiple vehicles' local maps in a distributed manner. The information consensus filter is used to communicate and fuse the agents' local maps. We show that when the information consensus filter is used, the team of vehicles reaches consensus on map estimates, assuming a connected and balanced communication topology. Furthermore, the vehicles' local map estimates obtained using the information consensus filter are equivalent to the estimated map produced in a centralized filter;this fact is shown analytically and verified by simulation. Furthermore, we compare the simulation results of 1) the information consensus filter based SLAM with 2) centralized SLAM and 3) covariance intersection based SLAM to demonstrate both the strengths and drawbacks of cooperative SLAM based on the information consensus filter. Copyright © 2010 by the American Institute of Aeronautics American Institute of Aeronautics and Astronautics. All right reserved.

关键词： Vehicles

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Interactive visualization of hepatic parenchyma with applications to surgery simulators

Interactive visualization of hepatic parenchyma with applica...

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17th Iranian Conference in Biomedical engineering, ICBME 2010

作者： Foruzan, Amir H. Chen, Yen-Wie Zoroofi, Reza A. Kaibori, Masaki College of Information Science and Engineering Ritsumeikan University Shiga Japan Control and Intelligent Processing Center of Excellence College of Engineering School of Electrical and Computer Engineering Tehran Iran Department of Surgery Hirakata Hospital Kansai Medical University Osaka Japan

ISBN: (纸本)9781424474844

Computer Assisted Diagnosis/Surgery systems provide an indisputable effect on the diagnosis and surgery of hepatic diseases. We developed a CAS system to prepare a virtual environment for a physician so as to interact with liver and decide on the therapy planning. The proposed system is composed of three modules, liver segmentation, vessel extraction, and visualization / interaction. It provides the physician a virtual scalpel to cut the liver. At first, inside of liver together with the vessels are shown to the physician and then the virtual surgery is started. A toggling option makes it easy to reveal inside of liver or make it opaque during the surgery. The width, height, and depth of the cut can be changed by the user. The proposed system is a framework which can later be extended to a complete CAD/CAS system for hepatic disease analysis and therapy planning. © 2010 IEEE.

关键词： Visualization

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Preface

Communications and Control Engineering

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Communications and control engineering 2011年第9780857292551期 vii-xi页

作者： Sun, Zhendong Ge, Shuzhi Sam College Automation Science & Engineering Center for Control and Optimization South China University of Technology Guangzhou510640 China Robotics Institue and Institute of Intelligent Systems and Information Technology University of Electronic Science and Technology of China Chengdu China Department of Electrical and Computer Engineering The National University of Singapore Singapore Singapore

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Comparison of voxel-based morphometry (VBM) and tractography of diffusion tensor MRI (DT-MRI) in temporal lobe epilepsy

Comparison of voxel-based morphometry (VBM) and tractography...

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2010 18th Iranian Conference on electrical engineering, ICEE 2010

作者： Afzali, Maryam Soltanian-Zadeh, Hamid Control and Intelligent Processing Center of Excellence School of Electrical and Computer Engineering University of Tehran Tehran 14395-515 Iran Image Analysis Laboratory Radiology Department Henry Ford Health System Detroit MI 48202 United States

ISBN: (纸本)9781424467600

Temporal lobe epilepsy (TLE) is a neurological disease that affects millions of individuals in the world. Majority of TLE patients suffer from refractory seizures. Determining abnormal/damaged regions of the brain that harbor seizure focus is a critical step towards treatment of TLE patients. Diffusion tensor imaging (DTI) is a non-invasive method that we use in this work to determine damaged regions of white matter in the brain. To this end, we apply two methods, voxel based morphometry (VBM) and fiber tracking. We use these methods along with two anisotropy maps (EAR and FA) extracted from the DTI data. We use DTI data of 31 subjects (12 normal subjects and 19 TLE patients) for testing and evaluation studies. The VBM method shows that TLE is associated with reduction of both of FA and EAR values in several regions within the temporal lobes. The tractography method shows abnormal diffusion characteristics in three fiber bundles (fornix, uncinate fasciculus, and cingulum). The results show that the EAR maps are less sensitive to noise than the FA maps and the EAR values change more than the FA values in TLE. ©2010 IEEE.

关键词： Diffusion tensor imaging

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A statistical shape model using 2D-principal component analysis from few medical samples and its evaluation

A statistical shape model using 2D-principal component analy...

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2nd International Conference on Software engineering and Data Mining, SEDM 2010

作者： Tateyama, Tomoko Tanaka, Taishi Kohara, Shinya Foruzan, Amir Hossein Furukawa, Akira Chen, Yen-Wei Intelligent Image Processing Lab College of Information Science and Engineering Ritsumeikan University Shiga Japan Control and Intelligent Processing Center of Excellence School of Electrical and Computer Engineering University of Tehran Tehran Iran Department of Radiology Shiga University of Medical Science Shiga Japan

ISBN: (纸本)9788988678213

Since the medical training samples are very limited, it is difficult to construct a statistical shape model with good generalization using few samples. In this paper, we propose a novel statistical shape modeling method using 2D PCA. The 3D shape is represented as a matrix by spherical parameterization. The experiments showed that our proposed method can reconstruct statistical shape model with good generalization even using fewer samples.

关键词： Principal component analysis

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Multi-scale approach for retinal vessel segmentation using medialness function

Multi-scale approach for retinal vessel segmentation using m...

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IEEE International Symposium on Biomedical Imaging

作者： Elahe Moghimirad Seyed Hamid Rezatofighi Hamid Soltanian-Zadeh Control and Intelligent Processing Center of Excellence Department of Electrical and Computer Engineering Faculty of Engineering University of Tehran Tehran Iran

ISBN: (纸本)9781424441259;9781424441266

Automated segmentation of retinal vessels in optic fundus images has been the most prevailing effort in many researches during recent years. In this paper, we propose a multi-scale method based on a weighted 2D medialness function. The result of the medialness function is first multiplied by the eigenvalues of the Hessian matrix in every pixel of the image in order to extract vessel's medial-lines. Next, by extracting the centerlines of vessels and estimation of radius of vessels, the retinal vessels are segmented. Finally, the performance of our proposed method is evaluated by the DRIVE and STARE databases and compared with those of several recent methods.

关键词： Retinal vessels Image segmentation Eigenvalues and eigenfunctions Retina Filters Image databases Blood vessels Biomedical imaging Vectors Pathology

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An isolated three-phase soft-switched buck rectifier

An isolated three-phase soft-switched buck rectifier

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National Proceedings Power and Energy Conference (PECon)

作者： N. Noroozi M. R. Zolghadri R. Haghi Center of Excellence in Power System Management & Control Department of Electrical Engineering Sharif University of Technology Tehran Iran

In this paper a novel soft switching isolated buck rectifier is proposed. Various switching state sequences of a three-phase three-switch buck-type unity power factor rectifier are reviewed and the value of switching power loss in each state transition is investigated. The switching power loss of the converter is decreased by using zero current switching (ZCS) method. The operation modes of the converter are explained and analyzed. By using an auxiliary circuit with a simple method of energy recovery, the current is diverted away from the main power switches before they are turned off; so, switching losses in the converter are reduced. In this topology, the power transformer has only the primary and the secondary windings and the transformer is demagnetized in each switching period without the demagnetizing winding. The auxiliary circuit consists of an auxiliary switch and a resonant inductance-capacitance circuit connected to the auxiliary switch. The proper operation of the converter is confirmed by the results obtained from the digital simulations.

关键词： Switches Rectifiers Converters Switching loss Capacitors Pulse width modulation Magnetic resonance

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