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High SNR flexible top hat monopole probe for 1.5 T MRI

High SNR flexible top hat monopole probe for 1.5 T MRI

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作者： Mohammadzadeh, M. Shahabadi, M. Soltanian-Zadeh, H. Tavakoli, A. Rafiei, B. Javidnia, D. Oghabian, M.A. Department of Physics Amir-Kabir University of Technology Tehran Iran School of Electrical and Computer Engineering University of Tehran Tehran Iran Control and Intelligent Processing Center of Excellence School of Electrical and Computer Engineering University of Tehran Tehran Iran Image Analysis Laboratory Department of Radiology Henry Ford Health System Detroit MI United States Department of Electrical Engineering Amir-Kabir University of Technology Tehran Iran Medical Imaging Center Imam Khomeyni Hospital Tehran Iran Research Center for Science and Technology in Medicine Tehran University of Medical Sciences Tehran Iran

In this paper, design principles and application of a thin and flexible intravascular top hat monopole probe with increased signal-to-noise ratio (SNR) and improved longitudinal and radial coverage are described and compared with the conventional monopole probe. The top hat probe is constructed by removing a segment of the shield of a coaxial cable. A flexible thin copper foil in contact with the inner conductor of the cable is added to the end section of the cable. The copper foil acts as an antenna top hat load increasing the uniformity of the current distribution on the probe and establishes a uniform region of SNR distribution around the probe. Improvement of the SNR distribution of the top hat probe relative to the conventional monopole probe is evaluated using quantitative indices. Experimental results show that for the top hat probe, the ratio of the maximum image SNR to its relative standard deviation (SR) is 2.73 times higher than that of a conventional probe. © 2006 IOP Publishing Ltd.

关键词： Medical imaging

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Application of Minimum Entropy Estimation in Modal Analysis

Application of Minimum Entropy Estimation in Modal Analysis

引用

IEEE Digital Signal Processing Workshop

作者： Minh Ta Dayong Zhou Victor DeBrunner Dynamics Structures Sensing and Control Center and the School of Electrical and Computer Engineering University of Oklahama USA

ISBN: (纸本)1424405343

We propose a modification of the popular eigensystem realization algorithm (ERA) using the minimum entropy estimation (MEE) method. The eigensystem realization algorithm is an LS method that is used to estimate the system matrices in a state-space representation of a physical structure. The MEE is known for its superior variance estimation as compared to the LS method when the measurement noise is unknown and non-Gaussian. It can be used to give a better estimate of the Markov sequence of a dynamical system, which in turn leads to the estimation of the system matrices and the poles using ERA

关键词： Entropy Modal analysis Noise measurement Hydrogen Gaussian noise Working environment noise Application software State estimation MIMO Measurement uncertainty

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Design, simulation, and optimization of an on-chip bow-tie slot antenna using genetic algorithm

Design, simulation, and optimization of an on-chip bow-tie s...

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Antennas and Propagation Society International Symposium

作者： H. Sedaghat-Pisheh H. Aliakbarian Z. Safarian M. Shahabadi C. Lucas Photonics Research Lab School of Electrical and Computer Engineering University of Tehran Iran Control & Intelligent Processing Center of Excellence School of Electrical and Computer Engineering University of Tehran Iran

ISBN: (纸本)1424401224

Design, simulation, and optimization of a novel (extremely) broad-band coplanar waveguide (CPW)-fed on-chip antenna using genetic algorithm (GA) is presented. The antenna is of slot type and has the shape of a bow-tie with rounded truncation. It is designed on quartz coated silicon substrate and fed with 50 ohms CPW transmission line. Return loss of the antenna is less than -10 dB for most of the frequency range of 5-60 GHz

关键词： Algorithm design and analysis Design optimization Slot antennas Genetic algorithms Dipole antennas Frequency Horn antennas Substrates Computational modeling Coplanar waveguides

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A New Architecture to Execute CAs-Based Path-Planning Algorithm in Mobile Robots

A New Architecture to Execute CAs-Based Path-Planning Algori...

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International Conference on Mechatronics (ICM)

作者： Adel Akbarimajd Caro Lucas Robotics and AI Laboratory Department of Electrical and Computer Engineering University of Tehran Iran Center of Excellence for Control and Intelligent Processing Department of Electrical and Computer Engineering University of Tehran Iran

Several path-planning algorithms for mobile robots have been introduced. Proper architectures for mobile robots to implement the path-planning algorithms are also of interest. If the mobile robots are to perform complicated tasks including complex sensing and planning operations and have accepted performance, must be autonomous: capable of acquiring information and performing tasks without programmatic intervention. In this paper we employ a layered architecture for mobile robots to perform our previously introduced cellular automata based path planning technique. It employs an abstraction approach which makes the complexity manageable. The architecture has an important feature which is its internal artifacts; it has some beliefs about the world and these beliefs are represented in artifacts and most actions are planned and performed with respect to these artifacts

关键词： Path planning Mobile robots Robot kinematics Content addressable storage Lattices computer architecture Orbital robotics Automata Intelligent sensors Robotics and automation

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electrical stimuli capsule for control moving direction at the small intestine

Electrical stimuli capsule for control moving direction at t...

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4th IASTED International Conference on Biomedical engineering

作者： Woo, S.H. Jang, J.Y. Jung, E.S. Lee, J.H. Moon, Y.K. Kim, T.W. Won, C.H. Choi, H.C. Cho, J.H. School of Electronic Engineering and Computer Science Kyungpook National University College of Veterinary Medicine Dept. of Physiology Kynugpook National University Department of Computer Control and Electrical Engineering Kyungil University Advanced Research Center for Recovery of Human Sensibility Kyungpook National University Engineering Building 10 Kyungpook National University 1370 Sankyuk-dong Buk-gu Daegu 702-701 Korea Republic of

ISBN: (纸本)0889865787

Recently, a capsule endoscope has been developed to observe images from the inside of intestine. Such a capsule endoscope does not have locomotion or hold method. To get proper diagnosis and medication, it is necessary to control the capsule from outside to guide locomotion. The designed and implemented capsule has feasibility to contract the small intestine by electrical stimuli through the electrodes. When the small intestine is contracted by electrical stimuli, the capsule can move to opposite direction, which means the capsule can go up and down in the small intestine. The implemented stimuli capsule always monitors excessive energy transmission and automatically shuts down the electrical stimuli to make it more secure. Additionally, the stimuli capsule goes on standby mode to save the battery, and it can be reset by comparator circuit which is connected to stimulus electrodes. To verify the design and implement the stimuli capsule, in-vitro experiments were performed with pig's small intestine.

关键词： Biomedical engineering

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Design and implementation of the telemetry capsule for measuring of electrogastrography

Design and implementation of the telemetry capsule for measu...

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4th IASTED International Conference on Biomedical engineering

作者： Jung, E.S. Lee, J.H. Woo, S.H. Yoon, K.W. Jang, J.H. Kim, M.K. Moon, Y.K. Kim, T.W. Won, C.H. Choi, H.C. Cho, J.H. School of Electronic Engineering and Computer Science Kyungpook National University College of Veterinary Medicine Dept. of Physiology Kynugpook National University Department of Computer Control and Electrical Engineering Kyungil University Advanced Research Center for Recovery of Human Sensibility Kyungpook National University Engineering Building 10 Kyungpook National University 1370 Sankyuk-dong Buk-gu Daegu 702-701 Korea Republic of

ISBN: (纸本)0889865787

Electrogastrography (EGG) is a significant reference of the myoelectric activity of the gastrointestinal tract and indicates whether it has a disease or not. There have been numerous studies of the myoelectric activity in a stomach, but only a few studies of the intestines because of the difficulty of measurement in the intestines. Recently, the technology of the biotelemetry capsule for measurement of internal information in the human digestive tract has been developed. In the current study, an EGG telemetry system using the developed biotelemetry technology was designed and implemented for measuring EGG in intestines. The EGG capsule converts the acquired EGG value to digital data, which is transmitted from the capsule to the external receiver. The performance of the telemetry capsule for the EGG monitoring in the gastrointestinal tract was verified by in-vitro animal experiments. From the experiment, it was verified that the EGG telemetry capsule can measures a slow wave in intestines.

关键词： Biomedical engineering

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Adaptive Data Fusion Structure

Adaptive Data Fusion Structure

引用

International Conference on Computational Intelligence for Modelling, control and Automation, and International Conference on Intelligent Agents, Web Technologies and Internet Commerce

作者： Pooyan Khajehpour Tadavani Behzad Moshiri Babak N. Araabi Control and Intelligent Processing Center of Excellence School of Electrical and Computer Engineering University of Tehran Tehran Iran

Lack of sufficient flexibility to deal with actual noisy data in data fusion methods is the main concern in this paper. This deficiency comes from two major reasons. Firstly, infusion methods, all of the collected data are considered useful. Secondly, often some presumed sensor models are used in the fusion process, which do not necessarily match to the true models. As a general solution to address the aforementioned shortcomings, a novel adaptive data fusion structure (ADFS) is proposed. In ADFS, incorrect data are eliminated; then the remainders are fused, and finally the sensor models are learned by using the final fusion results as internal feedbacks. In particular, as more misleading data are eliminated, more accurate sensor models emerge. By employing ADFS to localize a simulated mobile robot in a highly noisy environment, the results prove its superiority, especially compared to the conventional entropy based methods of localization.

关键词： Working environment noise Intelligent sensors Sensor fusion Intelligent systems Competitive intelligence Biological information theory Mobile robots Computational intelligence Programmable control Adaptive control

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Semi-global enlargement of domain of attraction for a class of affine nonlinear systems

Semi-global enlargement of domain of attraction for a class ...

引用

IEEE International Conference on computer-Aided Design

作者： Farzad Hashemzadeh Mohammad J. Yazdanpanah Control & Intelligent Processing Center of Excellence School of Electrical and Computer Engineering University of Tehran Tehran Iran

In this paper, a new approach to enlarge the domain of attraction of a nonlinear affine system based on Zubov theorem is suggested. The affine systems which are studied in this paper some times have some constraints that coping with them are difficult. The proposed approach may alleviate these difficulties by introducing an extended controller design methodology. The controller can extend the domain of attraction as an n-dimensional ellipsoid in a way that the diameters of ellipsoid, may be used as the tuning factors for shaping and enlarging it as much as possible. In this approach, the ratios of diameters are not crucial. In other words, it is possible to stretch the domain of attraction along some directions and compress it along the others. The simulation results on the Van der Pole system and two case studies, namely, a vehicle dynamics and an inverted pendulum show the efficiency of the method

关键词： Nonlinear systems control systems Nonlinear control systems Design methodology Vehicle dynamics Ellipsoids State-space methods Design optimization Time factors Shape control

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Image Compression using an Enhanced Self Organizing Map Algorithm with Vigilance Parameter

Image Compression using an Enhanced Self Organizing Map Algo...

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International Joint Conference on Neural Networks (IJCNN)

作者： E. Bavafa M.J. Yazdanpanah Control & Intelligent Processing Center of Excellence School of Electrical and Computer Engineering University of Tehran Tehran Iran

In this paper, a new approach for image compression is presented. The enhanced SOM algorithm applies a vigilance parameter in order to test if the maximum value of all activation functions in each training step exceeds the minimum threshold. If vigilance test is not passed, a new cluster will be added to the network; else the winner cluster will be updated. Therefore, the network could be extendable due to pattern distribution. The proposed approach is compared with ART1. The performance of enhanced SOM algorithm does not depend on the input presentation order. As observed through simulations, the new algorithm with vigilance parameter reduces the computational complexity, and presents better quality compared with Kohonen's SOM.

关键词： Image coding Organizing Clustering algorithms Neurons Computational complexity Testing Image processing Color Lattices Process control

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Development of reinforcement learning methods in control and decision making in the large scale dynamic game environments

Development of reinforcement learning methods in control and...

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IEEE International Conference on computer-Aided Design

作者： S. Orafa M.J. Yazdanpanah C. Lucas A. Rahimikian M. Nili Ahmadabadi Control and Intelligent Processing Center of Excellence Faculty of Electrical and Computer Engineering University of Tehran Tehran Iran

In this paper, an analytical comparison is done between dynamic programming and reinforcement learning methods in dynamic two-player games. The emphasis is on the large number of states and actions available for each player and different conflictive optimization objectives of these games that make them complicated in modeling and analysis. Optimization and decision making is done through quantifying a modified Q-learning algorithm. By this method, it is shown that the information processing in large scale-long stage games will take shorter times and will result in lower decision costs whereas dynamic programming methods cannot handle them across long time-horizons

关键词： Learning Decision making Large-scale systems Game theory Dynamic programming Intelligent control control system synthesis Equations Optimal control State-space methods

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