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Protein metal binding residue prediction based on neural networks

11th International Conference on Neural Information Processing, ICONIP 2004

作者： Lin, Chin-Teng Lin, Ken-Li Yang, Chih-Hsien Chung, I-Fang Huang, Chuen-Der Yang, Yuh-Shyong Department of Electrical and Control Engineering Chiao-Tung University HsinChu Taiwan Computer Center Chung-Hua University HsinChu Taiwan Inst. of Medical Science University of Tokyo Tokyo Japan Department of Electrical Engineering HsiuPing Institute of Technology Dali Taichung Taiwan Inst. of Bioinformatics Chiao-Tung University HsinChu Taiwan

ISBN: (纸本)3540239316

It is known that over one-third of protein structures contain metal ions, and they are the necessary elements in life system. Traditionally, structural biologists used to investigate properties of metalloproteins (proteins which bind with metal ions) by physical means and interpret the function formation and reaction mechanism of enzyme by their structures and observation from experiments in vitro. Most of proteins have primary structures (amino acid sequence information) only;however, the 3-dimension structures are not always available. In this paper, a direct analysis method is proposed to predict protein metalbinding amino acid residues only from its sequence information by neural network with sliding window-based feature extraction and biological feature encoding techniques and it can successfully detect 15 binding elements in protein, and 6 binding elements in enzyme. © Springer-Verlag Berlin Heidelberg 2004.

关键词： Metal ions

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A 3-D deformable surface method for automatic hippocampus-amygdala complex segmentation

A 3-D deformable surface method for automatic hippocampus-am...

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2004 Nuclear Science Symposium, Medical Imaging Conference, Symposium on Nuclear Power Systems and the 14th International Workshop on Room Temperature Semiconductor X- and Gamma- Ray Detectors

作者： Karimi, M.M. Batmanghelich, N. Soltanian-Zadeh, H. Lucas, C. Control and Intelligent Processing Center of Excellence Department of Electrical and Computer Engineering University of Tehran Tehran 14395-515 Iran Institute for Studies in Theoretical Physics and Mathematics Tehran Iran Department of Radiology Henry Ford Health System Detroit MI 48202 United States

In this paper, we propose an atlas-based method for hippocampus-amygdala complex segmentation. An atlas is registered on all subjects and its transformation is calculated for each subject. This transformation is applied to the structural segmentation of the complex in atlas to construct an initial surface for the hippocampus-amygdala complex of each subject. A possibility approach is introduced for the segmentation process. Two different kinds of deformation based on edges and information obtained from tissue segmentation are used to find different parts of the complex. A new energy is defined to use tissue information. This energy is adopted to expand the model to embed dominant gray matter points in the volume and also withdraw from dominant white matter and CSF points. The initial shape is divided into several parts. In the normal direction of the center of each part, we construct a profile which search for the best poult that maximizes this new energy. This algorithm is reliable for finding the overall shape of the complex. It overcomes the poor features of the complex such as weak edges and noise. The algorithm is examined on 5 different subjects and validated using two different validation methods. © 2004 IEEE.

关键词： Medical imaging

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Estimation of physical parameters of stable and unstable systems via estimation of step response

Estimation of physical parameters of stable and unstable sys...

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International Conference on control, Automation, Robotics and Vision (ICARCV)

作者： P.J. Gawthrop Liuping Wang Center for Systems and Control and Department of Mechanical Engineering University of Glasgow Glasgow UK School of Electrical and Computer Engineering RMIT University VIC Australia

Experimental validation of a two-stage method for the identification of physical system parameters from experimental data is presented. The first stage compresses the data as an empirical model and the second stage then uses data extracted from the empirical model of the first stage within a non-linear estimation scheme to estimate the unknown physical parameters. The approach handles unstable systems using exponential weighting.

关键词： Parameter estimation control systems Data mining Polynomials Bonding System identification Data compression Predictive models Mechanical engineering Physics computing

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Observer-Based Model Reference Sliding-Mode control of Active Suspension Systems

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IFAC Proceedings Volumes 2004年第13期37卷 1407-1412页

作者： Alireza Esna Ashari Mohammad Javad Yazdanpanah Control and Intelligent Processing Center of Excellence Department of Electrical and Computer Engineering University of Tehran Tehran. P.O. Box: 14395/515 Iran

In this paper a model reference variable structure controller (VSC) for an active suspension system is designed. A half vehicle model is used in which, the vertical and pitch motions of the mass supported by the suspension and the vertical motion of the suspension masses are considered. Sliding mode controller is applied for the purpose of disturbance attenuation. Unit vector approach, which is a sliding mode control structure for multivariable systems, is used and a robust adaptive nonlinear controller is designed. A reduced-order observer is designed to use only output information. Robust eigenstructure assignment method is implemented in the line of sliding surface design. Simulation results verify the effectiveness of the proposed nonlinear controller scheme in comparison with the passive suspension system and also H ∞ technique. The output of the closed-loop system can also smoothly track a set point in a manner that the vertical position of vehicle may be regulated toward the desired point.

关键词： Model reference Sliding-mode Observers Robust control Active vehicle suspension Passive suspension

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Distributed, master-less control of modular DC-DC converters

Distributed, master-less control of modular DC-DC converters

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Collection of Technical Papers - 2nd International Energy Conversion engineering Conference

作者： Gray, Michael S. Gao, Zhiqiang Button, Robert M. Cleveland State University Cleveland OH 44115 United States NASA Glenn Research Center Cleveland OH United States Department of Electrical and Computer Engineering United States Center for Advanced Control Technologies United States Electrical Systems Research Branch M.S 333-2 21000 Brookpark Rd. United States

ISBN: (纸本)1563477157

A distributed control system (DCS) is developed and hardware verified for a class of digitally controlled modular DC-DC converters. The converters are each independently controlled by its own FPGA-based digital controller. A control Area Network (CAN) is first set up for the converters to communicate in a master-less peer-to-peer manner. An algorithm is developed to make the converters share the load (current) dynamically in a predetermined manner. More importantly, it makes it possible to for all converters to automatically time-shift their PWM gating signals to minimize the current ripple, which is known as interleaving. An algorithm is developed for this distributed master-less control of power converter system so that the load sharing and interleaving are adjusted autonomously, in real time, as the number of converters changes without prior knowledge. Copyright © 2004 by the American Institute of Aeronautics and Astronautics, Inc. All rights reserved.

关键词： DC motors

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Speed control of an interior permanent magnet synchronous motor using belbic (brain emotional learning based intelligent controller)

Speed control of an interior permanent magnet synchronous mo...

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Proceedings of the Biannual World Automation Congress

作者： R. Mohammdi-Milasi C. Lucas B. Nadjar-Arrabi Center of Excellence for Control and Intelligent Processing Department of Electrical and Computer Engineering University of Tehran Tehran Iran Center of Excellence for Control and Intelligent Processing Department of Electrical and Computer Engineering University of Tehran and School of Cognitive Sciences (SCS) Tehran Iran Center of Excellence for Control and Intelligent Processing Department of Electrical and Coinputer Enginecring University of Tehran and School of Cognitive Scienccs (SCS) Tehran Iran

Among ac drives, the permanent magnet synchronous motor has been gaining popularity owing to its high torque to current ratio, large power to weight ratio, high efficiency, high power factor and robustness. Because of its technical and economic advantages, Permanent Magnet Synchronous Motor drive technology is a serious contender for replacing the existing technologies. In this paper we report the utilization of a novel controller (BELBlC) based on emotion processing mechanism in brain. Our results show superior control characteristics especially very fast response, simple implementation and robustness with respect to disturbances and manufacturing imperfections. Our proposed method enables the designer to shape the response in accordance with the multiple objectives of his/her choice.

关键词： Velocity control Permanent magnet motors Torque control Rotors AC motors Machine vector control Synchronous motors Process control Magnetic materials control theory

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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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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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Abnormality detection of a continuous pan in a sugar mill

Abnormality detection of a continuous pan in a sugar mill

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International Conference on control, Automation, Robotics and Vision (ICARCV)

作者： Liuping Wang A. Giles R. Peirce School of Electrical and Computer Engineering Royal Melbourne Institute of Technology Melbourne Australia Center for Integrated Dynamics and Control Department of Electrical and Computer Engineering University of Newcastle Australia CSR Victoria Mill QLD Australia

This paper reports an industrial application of principle component analysis to process abnormality detection in a sugar mill. The process under investigation is a continuous pan which is one of the most crucial processes in sugar production. Two sets of experimental results are obtained in this work: one is related to an artificially induced fault by a stuck valve; the other captures a naturally occurred fault due to equipment failure. The principle component analysis algorithm successfully detects both faults. Only the latter case is reported in this paper.

关键词： Milling machines Sugar industry Monitoring control charts Modems Principal component analysis Predictive models computer industry electrical products industry Industrial control

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A novel controller for a power system based belbic (brain emotional learning based intelligent controller)

A novel controller for a power system based belbic (brain em...

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Proceedings of the Biannual World Automation Congress

作者： R. Mohammdi-Milasi C. Lucas B. Najar-Arrabi Center of Excellence for Control and Intelligent Processing Department of Electrical and Computer Engineering University of Tehran Tehran Iran Center of Excellence for Control and Intelligent Processing Department of Electrical and Computer Engineering School of Intelligent Systems (SIS) Institute for Studies in Theoretical Physics and Mathematics (IPM) University of Tehran Tehran Iran

In this paper we report the utilization of a novel controller (BELBIC) based un emotion processing mechanism in brain for power system. Using the BELBIC controller, both transient stability and voltage regulation of power systems are achieved. The special characteristic of this controller that makes it effective is its flexibility its five gain parameters that give good freedom for choosing favorite response. With this degree of freedom choosing of these parameters involves trade-off between overshoot and speed of response. The effectiveness of the proposed BELBIC controller is shown through some computer simulations on a (SMIB) power system.

关键词： control systems Power system control Power systems Power system stability Power system modeling Power system transients Power system faults Power system dynamics Voltage control Process control

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