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Design and implement the stimuli capsule at in-vitro experiment

Design and implement the stimuli capsule at in-vitro experim...

引用

TENCON 2005 - 2005 IEEE Region 10 Conference

作者： Woo, S.H. Yoon, K.W. Lee, J.H. Moon, Y.K. Won, C.H. Kim, T.W. Choi, H.C. Cho, J.H. School of Electronic Engineering and Computer Science Kyungpook National University Korea Republic of Department of Computer Control and Electrical Engineering Kyungil University Korea Republic of College of Veterinary Medicine Dept. of Physiology Kynugpook National University Advanced Research Center for Recovery of Human Sensibility Kyungpook National University Korea Republic of

ISBN: (纸本)0780393112

Recently, the capsule endoscope has been developed to observe image from the inside intestine. Such a capsule endoscope does not have locomotion or hold by it self. To get proper diagnosis and meditation, it is necessary to control capsule from outside to enable to guide locomotion. The designed and implemented capsule has feasibility to contracts the small intestine by electrical stimulus from stimulus pad. When the small intestine is contracted by electrical stimulus, the capsule can move to opposite direction which can boost moving speed of the capsule or change moving direction. The implemented stimuli capsule always monitors excessive energy transmit and automatically shut down electrical stimuli to make more secure. Also the stimuli capsule goes to stand by mode to save battery, and reset by comparator circuit which is connected to two stimulus pad. To verify the design and implement stimuli capsule, in-vitro experiments are performed with pig's small intestine.

关键词： Medical imaging

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Feature selection and combination criteria for improving predictive accuracy in protein structure classification

Feature selection and combination criteria for improving pre...

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BIBE 2005: 5th IEEE Symposium on Bioinformatics and Bioengineering

作者： Lin, Chun Yuan Lin, Ken-Li Huang, Chuen-Der Chang, Hsiu-Ming Yang, Chiao Yun Lin, Chin-Teng Tang, Chuan Yi Hsu, D. Frank Institute of Molecular and Cellular Biology National Tsing Hua University Hsinchu Taiwan Brain Research Center National Tsing Hua University Hsinchu Taiwan Department of Computer Science National Tsing Hua University Hsinchu Taiwan Department of Electrical and Control Engineering National Chiao Tung University Hsinchu Taiwan Computer Center Chung Hua University Hsinchu Taiwan Department of Electrical Engineering Hsiuping Institute of Technology Tachung Taiwan Department of Computer and Information Science Fordham University New York NY 10023 United States

ISBN: (纸本)0769524761

The classification of protein structures is essential for their function determination in bioinformatics. The success of the protein structure classification depends on two factors: the computational methods used and the features selected. In this paper, we use a combinatorial fusion analysis technique to facilitate feature selection and combination for improving predictive accuracy in protein structure classification. When applying these criteria to our previous work, the resulting classification has an overall prediction accuracy rate of 87% for four classes and 69.6% for 27 folding categories. These rates are significantly higher than our previous work and demonstrate that combinatorial fusion is a valuable method for protein structure classification. © 2005 IEEE.

关键词： Proteins

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Identification of multivariable systems based on finite impulse response models with flexible orders

Identification of multivariable systems based on finite impu...

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IEEE International Conference on Mechatronics and Automation

作者： Feng Ding Tongwen Chen Control Science and Engineering Research Center Southern Yangtze University Wuxi China Department of Electrical and Computer Engineering University of Alberta Edmonton AB Canada

For multi-input, multi-output stochastic systems, by means of auxiliary models - finite impulse response (FIR) models, we develop an identification algorithm to estimate the FIR model parameters of each entry (sub-submodel) of transfer matrices with an increasing order for the FIR model. The basic idea is to use auxiliary models to predict/estimate the outputs of the sub-submodels, and further to use the recursive least squares algorithm or the Pade approximation method to produce the parameter estimates of sub-submodels. Some simulation results are included.

关键词： MIMO Finite impulse response filter Parameter estimation Least squares approximation Predictive models Recursive estimation Stochastic systems Approximation algorithms Approximation methods System identification

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Reference command tracking for a linearized model of an air-breathing hypersonic vehicle

Reference command tracking for a linearized model of an air-...

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AIAA Guidance, Navigation, and control Conference 2005

作者： Groves, Kevin P. Sigthorsson, David O. Serrani, Andrea Yurkovich, Stephen Bolender, Michael A. Doman, David B. Collaborative Center of Control Science Ohio State University Columbus OH 43210 United States Air Force Research Laboratory Wright-Patterson AFB OH 45433 United States Department of Electrical and Computer Engineering 2015 Neil Ave United States AIAA United States Department of Electrical and Computer Engineering 2015 Neil Ave Columbus OH United States AFRL VACA 2210 Eighth St. United States

ISBN: (纸本)1563477378

The focus of this paper is on control design and simulation for an air-breathing hypersonic vehicle. The challenges for control design in this class of vehicles lie in the inherent coupling between the propulsion system, and the airframe dynamics, and the presence of strong flexibility effects. Working from a highly nonlinear, dynamically-coupled simulation model, control designs are presented for velocity, angle-of-attack, and altitude command input tracking for a linearized version of a generic air-breathing hypersonic vehicle model linearized about a specific trim condition. control inputs for this study include elevator deflection, total temperature change across the combustor, and the diffuser area ratio. Two control design methods are presented, both using linear quadratic techniques with integral augmentation, and are implemented in tracking control studies. The first approach focuses on setpoint tracking control, whereas in the second, a regulator design approach is taken. The effectiveness of each control design is demonstrated in simulation on the full nonlinear model of the generic vehicle. Copyright © 2005 by the American Institute of Aeronautics and Astronautics, Inc. All rights reserved.

关键词： Hypersonic aerodynamics

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On consistency of stochastic gradient algorithms for ARMAX models with disturbances

On consistency of stochastic gradient algorithms for ARMAX m...

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American control Conference (ACC)

作者： Feng Ding Tongwen Chen Research Associate University of Alberta Edmonton Canada Control Science and Engineering Research Center Southern Yangtze University Wuxi China Department of Electrical and Computer Engineering University of Alberta Edmonton AB Canada

ISBN: (纸本)0780390989

In this paper, we give a new method to prove in detail the consistency of the residual based and innovation based stochastic gradient algorithms for identifying CARMA/ARMAX models with disturbances under weaker conditions on statistical properties of the noise, e.g., the mean value is non-zero, and the variance is time-varying, and/or high-order moments are possibly nonexistent. The analysis indicates that the parameter estimation error is consistently bounded, and consistently converges to zero under persistent excitation conditions.

关键词： Stochastic processes Stochastic resonance Parameter estimation Convergence Adaptive control Differential equations Technological innovation Least squares approximation Algorithm design and analysis Least squares methods

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Reduced-order model-based feedback controller design for subsonic cavity flows

Reduced-order model-based feedback controller design for sub...

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43rd AIAA Aerospace sciences Meeting and Exhibit

作者： Yuan, X. Caraballo, E. Yan, P. Özbay, H. Serrani, A. DeBonis, J. Myatt, J.H. Samimy, M. Collaborative Center of Control Science Ohio State University United States Department of Electrical and Computer Engineering Department of Mechanical Engineering United States Bilkent Univ. Dept. of Electrical and Electronics Eng. Ankara Turkey NASA Glenn's Quiet Aircraft Technology Program United States Air Force Research Laboratory Air Vehicles Directorate WPAFB United States

This paper explores feedback controller design for cavity flows based on reduced-order models derived using Proper Orthogonal Decomposition (POD) along with Galerkin projection method. Our preliminary analysis shows that the equilibrium of the POD model is unstable and a static output feedback controller cannot stabilize it. We develop Linear Quadratic (LQ) optimal state feedback controllers and LQ optimal observers for the linearized models. The linear controllers and observers are applied to the nonlinear system using simulations. The controller robustness is numerically tested with respect to different POD models generated at different forcing frequencies. An estimation for the region of attraction of the linear controllers is also provided.

关键词： Subsonic flow

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Feature selection and combination criteria for improving predictive accuracy in protein structure classification

Feature selection and combination criteria for improving pre...

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IEEE Symposium on Bioinformatics and Bioengineering (BIBE)

作者： Chun Yuan Lin Ken-Li Lin Chuen-Der Huang Hsiu-Ming Chang Chiao Yun Yang Chin-Teng Lin Chuan Yi Tang D.F. Hsu Institute of Molecular and Cellular Biology Singapore Department of Electrical and Control Engineering National Chiao Tung University Hsinchu Taiwan Computer Center Chung-Hua University Hsinchu Taiwan Department of Electrical Engineering Hsiuping Institute of Technology Tachung Taiwan Brain Research Centre Canada Department of Computer Science National Tsing Hua University Hsinchu Taiwan Department of Computer and Information Science Fordham University New York NY USA

关键词： Accuracy Support vector machines Support vector machine classification Protein engineering Neural networks computer architecture Testing Bioinformatics Amino acids Sequences

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An efficient tool for planning and operation of reconfigurable converter-based transmission controllers

An efficient tool for planning and operation of reconfigurab...

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2005 IEEE Power engineering Society General Meeting

作者： Jiang, Xia Chow, Joe H. Edris, Abdel-Aty Uzunovic, Edvina Fardanesh, Bruce Parisi, Michael Wei, Xuan Electrical Computer and Systems Engineering Department Rensselaer Polytechnic Institute Troy NY 12180-3590 Electric Power Research Institute Palo Alto CA 94303-0813 New York Power Authority White Plains NY New York Power Authority Utica NY Guidant Corporation Saint Paul MN Electrical Computer and Systems Engineering Department Rensselaer Polytechnic Institute Science and Technology Division EPRI CA IEEE CIGRE Working Groups New York Power Authority Energy Control Center Cardiac Rhythm Management Division Guidant Corporation Saint Paul MN

ISBN: (纸本)078039156X

Because of their flexible performance, converter-based transmission controllers such as Unified Power Flow controller (UPFC) can be very effective in improving power transfer capability over congested transmission paths. In most published literature, a shunt converter is set to control the bus voltage and a series converter is to control the line power flow. In practical operations, however, there are other control modes that are more appropriate. In the case of the Convertible Static Compensator (CSC) installed at the New York Power Authority's Marcy substation, CSC can operate in 11 configurations of different shunt and series connections. A simulation program capable of dispatching in 49 different control modes associated with these 11 configurations is being developed. The paper discusses how these control modes can be efficiently implemented and used. © 2005 IEEE.

关键词： Power converters

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The impact of surface defects on SiC schottky and ohmic contact formation

The impact of surface defects on SiC schottky and ohmic cont...

引用

2005 International Semiconductor Device research Symposium

作者： Brillson, L.J. Tumakha, S.P. Gao, M. Ewing, D.J. Porter, L.M. Okojie, R.S. Zhang, M. Pirouz, P. Wahab, Q. Ma, X. Sudharshan, T.S. Onishi, T. Tsukimoto, S. Murakami, M. Department of Electrical and Computer Engineering Ohio State University 205 Dreese Lab. 2015 Neil Ave. Columbus OH 43210 United States Department of Physics Ohio State University 205 Dreese Lab. 2015 Neil Ave. Columbus OH 43210 United States Center for Materials Research Ohio State University 205 Dreese Lab. 2015 Neil Ave. Columbus OH 43210 United States Department of Materials Science and Engineering Carnegie Mellon University Pittsburgh PA 15213 United States NASA Glenn Research Center M/S 77-1 21000 Brookpark Road Cleveland OH 44135 United States Department of Materials Science and Engineering Case Western Reserve University Cleveland OH 44106 United States Department of Physics and Measurement Technology Linköping University Linköping Sweden MaxMile Technologies LLC Lexington SC 29072 United States Department of Electrical Engineering University of South Carolina Columbia SC 29208 United States Department of Materials Science and Engineering Kyoto University Kyoto 606-8501 Japan

No abstract available

ISBN: (纸本)1424400848

No abstract available

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Design and Implement the Stimuli Capsule at In-vitro Experiment

Design and Implement the Stimuli Capsule at In-vitro Experim...

引用

IEEE Region 10 International Conference TENCON

作者： S. H. Woo K. W. Yoon J. H. Lee Y. K. Moon C. H. Won T. W. Kim H. C. Choi J. H. Cho School of Electronic Engineering and Computer Science Kyungpook National University South Korea Department of Computer Control & Electrical Engineering Kyungil University South Korea College of Veterinary Medicine Department of physiology Kyungpook National University South Korea Advanced Research Center for Recovery of Human Sensibility Kyungpook National University South Korea

关键词： In vitro Intestines Endoscopes Energy consumption Batteries Circuits Valves Moon Design engineering computer science

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