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Proceedings of the 2004 IEEE International Symposium on Intelligent Control - 2004 ISIC

作者： Neumann, Donald De Araújo, Humberto X. Industrial and Systems Engineering Graduate Program - PPGEPS Pontifical Catholic University of Paraná PUC-PR Brazil PPGEPS PUC-PR Brazil

This paper is concerned with the mixed 2/ ∞ control problem combined with robust pole placement in linear matrix inequality (LMI) regions. Continuous-time linear systems subject to polytopic parametric uncertainties are studied. Based on Genetic Algorithms (GAs) and LMIs, a hybrid algorithm is presented for numerical computation of a robust fixed-order, static or dynamic, output feedback controller. This approach does not require that all specifications are enforced by a single closed-loop Lyapunov function. This allows to reduce the conservatism of the usual existing methods. In addition, this approach can be used for synthesis for reduced or full order controllers. Examples borrowed from the, literature are discussed to validate this approach. © 2004 IEEE.

关键词： Uncertain systems

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Anonymous traceable disclosure scheme using pairing over elliptic curve 04

Anonymous traceable disclosure scheme using pairing over ell...

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3rd International Conference on Information Security, InfoSecu '04

作者： Ito, Tadahiko Okamoto, Takeshi Inomata, Atsuo Okamoto, Eiji Graduate School of Systems and Information Engineering University of Tsukuba Tsukuba 305-8573 Japan Mission-Oriented Program2 RISTEX Japan Science and Technology Agency Minato-ku Atago 105-6218 Japan

ISBN: (纸本)1581139551

Anonymity can protect a user's privacy, however it is hard to manage. It is hard to disclose anonymously. In addition, it is also hard to make people trust anonymous information. In this paper, we provide a key exchange scheme for not only anonymous, but also traceable disclosure. To be more precise, one who provides information can anonymously guarantee communication with particular person. Furthermore, his anonymity can be retained even if he discloses communication contents. These features can not realized by using signature scheme, or any other existing methods. Our method enable those features, and it can be useful when a group is dealing with confidential information. Copyright 2004 ACM.

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Mixed H/sub 2//H/sub /spl infin// control for uncertain systems under pole placement constraints using genetic algorithms and LMIs

Mixed H/sub 2//H/sub /spl infin// control for uncertain syst...

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IEEE International Symposium on Intelligent Control (ISIC)

作者： D. Neumann H.X. de Araujo Industrial and systems Engineering Pontifical Catholic University of Paraná Brazil Industrial and Systems Engineering Graduate Program PPGEPS at the Pontificai Catholic University of Paraná PUC-PR Brazil The PPGEPS at the PUC-PR Brazil

This work is concerned with the mixed H/sub 2//H/sub /spl infin// control problem combined with robust pole placement in linear matrix inequality (LMI) regions. Continuous-time linear systems subject to polytopic parametric uncertainties are studied. Based on genetic algorithms (GA) and LMI, a hybrid algorithm is presented for numerical computation of a robust fixed-order, static or dynamic, output feedback controller. This approach does not require that all specifications are enforced by a single closed-loop Lyapunov function. This allows to reduce the conservatism of the usual existing methods. In addition, this approach can be used for synthesis for reduced or full order controllers. Examples borrowed from the literature are discussed to validate this approach.

关键词： Control systems Uncertain systems State feedback Genetic algorithms Robust control Output feedback Hydrogen Symmetric matrices Uncertainty Linear matrix inequalities

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Doe's effort to reduce truck aerodynamic drag - joint experiments and computations lead to smart design

Doe's effort to reduce truck aerodynamic drag - joint experi...

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34th AIAA Fluid Dynamics Conference and Exhibit 2004

作者： McCallen, Rose C. Salari, Kambiz Ortega, Jason M. DeChant, Larry J. Hassan, Basil Roy, Christopher J. Pointer, W. David Browand, Fred Hammache, Mustapha Hsu, Tsun-Ya Leonard, Anthony Rubel, Mike Chatalain, Philippe Englar, Robert Ross, James Satran, D. Heineck, James T. Walker, Stephen Yaste, D. Storms, B. Lawrence Livermore National Laboratory Livermore CA 94551 United States Sandia National Laboratories Albuquerque NM 87185-0825 United States Auburn University Auburn AL 36849 United States Argonne National Laboratory Argonne IL 60439 United States University of Southern California LosAngeles CA 90089-1191 United States Georgia Tech Research Institute Atlanta GA 30332 United States NASA Ames Research Center Moffet Field CA 94035 United States Center for Applied Scientific Computing P.O. Box 808 L-98 United States New Technologies Engineering Division P.O. Box 808 L-644 United States Aerosciences and Compressible Fluid Mechanics Dept. PO Box 5800 MS 0825 United States Aerospace Engineering Dept. 211 Aerospace Engineering Bldg United States Nuclear Engineering Division NE-208 United States Aerospace and Mechanical Engineering MS 1191 United States Engineering and Applied Science 1200 East California Blvd. MC 301-46 United States Graduate Aeronautical Laboratories 1200 East California Blvd. MC 205-45 United States Aerospace Transportation and Advanced Systems Code 0844 United States Systems Analysis Branch MS 260-1 United States Aeronautical Projects and Program Office MS 260-1 United States

ISBN: (纸本)9781624100314

At 70 miles per hour, overcoming aerodynamic drag represents about 65% of the total energy expenditure for a typical heavy truck vehicle. The goal of this US Department of Energy supported consortium is to establish a clear understanding of the drag producing flow phenomena. This is being accomplished through joint experiments and computations, leading to the 'smart' design of drag reducing devices. This paper will describe our objective and approach, provide an overview of our efforts and accomplishments, and discuss our future direction. © 2004 by the American Institute of Aeronautics and Astronautics, Inc.

关键词： Aerodynamic drag

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Effects of Surface Roughness and Maximum Load on the Mechanical Properties of Cancellous Bone Measured by Nanoindentation

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MRS Online Proceedings Library 2004年第1期823卷 W8.5.1-W8.5.6页

作者： Donnelly, Eve Baker, Shefford P. Boskey, Adele L. van der Meulen, Marjolein C. H. Sibley School of Mechanical and Aerospace Engineering Cornell University Ithaca USA Department of Materials Science and Engineering Cornell University Ithaca USA Musculoskeletal Integrity Program Hospital for Special Surgery New York USA Department of Biochemistry Weill Medical College of Cornell University New York USA Graduate Program in Physiology Biophysics and Systems Biology Weill Medical College of Cornell University New York USA

Nanoindentation was used to assess the mechanical properties of lamellar and interlamellar tissue in dehydrated rabbit cancellous bone. The effects of surface roughness and maximum nanoindentation load on the measured mechanical properties were examined in two samples of differing surface roughness using maximum loads ranging from 250-3000 μN. As the ratio of indentation depth to surface roughness decreased below approximately 3:1, the variability in material properties increased substantially. At low loads, the indentation modulus of the lamellar bone was approximately 20% greater than that of the interlamellar bone, while at high loads the measured properties of both layers converged to an intermediate value. Relatively shallow indentations made on smooth surfaces revealed significant differences in the properties of lamellar and interlamellar bone that are consistent with microstructural observations of lamellar bone as more mineralized than interlamellar bone.

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Incomplete Cholesky Preconditioners with Band-Diagonalization for Sparse Symmetric systems

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Applied Numerical Analysis & Computational Mathematics 2004年第2期1卷

作者： Taku Itoh Daichi Fujimoto Takashi Kitagawa Susumu Nakata Graduate School of Systems and Information Engineering University of Tsukuba Tsukuba Ibaraki 305-8573 Japan Master's Program in Science and Engineering University of Tsukuba Tsukuba Ibaraki 305-8573 Japan Phone: +81 29 853 5018 Fax: +81 29 Phone: +81 29 853 5345 Fax: +81 29 853 5345 College of Information Science and Engineering Ritsumeikan University Kusatsu Shiga 525-8577 Japan Phone: +81 77 561 5062 Fax: +81 77 561 5203

In this paper, we present a preconditioning method based on Incomplete Cholesky Decomposition (ICD) combined with a band-diagonalization strategy which enables an efficient ICD. The performance of the ICD preconditioner for sparse symmetric systems has a close relationship to the number of fill-ins of the exact Cholesky decomposition and the number can be decreased by the band-diagonalization. We consider an implicit surface reconstruction as a typical problem which has a property that the coefficient matrix can be transformed into a band-diagonal structure at a low computational cost. The effectiveness of the preconditioning is shown as a result of some numerical experiments. (© 2004 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim)

关键词： Krylov subspace iterative methods incomplete Cholesky preconditioners band-diagonalization sparse symmetric systems surface reconstruction problem

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Enhancing control engineering education using a CACSD didactic environment

Enhancing control engineering education using a CACSD didact...

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IEEE International Conference on systems, Man and Cybernetics

作者： E.R. Loures M.R. Silveira M.A. Busetti Y. Arda Graduate Program in Production Systems Engineering Pontifical Catholic University of Paraná Curitiba Brazil

The classical approaches to teach the control systems present drawbacks, such as: (i) the general overview of the problem is sometimes underemphasized by the knowledge acquisition; (ii) they mainly use the academic examples that are only dealing with simple concepts and problems; (iii) laboratory experiments are either simple or under developed. Design aspects of control systems when applied to practical processes are important to improve the knowledge of the students and to motivate the utilization of modern methodologies as an emergent technology for the applications in industry. In this work, we point out some important aspects for conceiving a new educational product. We describe our experiences in creating a didactic environment for teaching and learning the control theories in engineering courses based on CACSD (computer aided control system design) and its extension to the research field of industrial problems. Two distinct proposals arise from these experiences for reducing the gap between the theoretical and practical classes, and for teaching the control systems development cycle using mathematical tools and real plants under the virtual instrumentation concept.

关键词： Control engineering education Control systems Electrical equipment industry Industrial control Knowledge acquisition Laboratories Application software Educational products Control theory Design engineering

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Design of support vector machine by adaptive aggregation

Design of support vector machine by adaptive aggregation

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International Joint Conference on Neural Networks (IJCNN)

作者： O. Chacon I. Litvintchev A. Alvarez E. Vazquez Graduate Program of Systems Engineering Universidad Autonoma de Nuevo Leon Nuevo Leon Mexico

This article provides a new algorithm to solve the design of classification machine, for linearly separable sets, based in support vectors. For large scale binary classification, an adaptive aggregation (AAM) procedure is executed so that the size of possible support vectors decrease, in each iteration, until convergence to maximum separation margin is achieved.

关键词： Support vector machines Support vector machine classification systems engineering and theory Algorithm design and analysis Large-scale systems Active appearance model Convergence Pattern recognition Statistical learning Statistics

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Regularization of hidden layer unit response for neural networks

Regularization of hidden layer unit response for neural netw...

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IEEE Pacific Rim Conference on Communications, Computers and Signal Processing

作者： K. Taga K. Kameyama K. Toraichi Doctoral Program in Risk Engineering Graduate School of Systems and Information Engineering University of Tsukuba Tsukuba Ibaraki Japan Tsukuba Advanced Research Alliance University of Tsukuba Tsukuba Ibaraki Japan

In this paper, we looked into two issues in pattern recognition using neural networks trained by back propagation (BP), namely inefficient learning and insufficient generalization. We observed that these phenomena are partly caused by the way the hidden layer units responds to the inputs. In order to solve the issues, we introduced regularization of the hidden layer unit response which amounts to suppressing the correlation among the response of the hidden layer units, and pruning the unit with the method unit fusion. The results of using the proposed technique were compared with the case of conventional technique in pattern recognition problems. From the results of the experiments, the rate of correct recognition increased when using regularization in the hidden layer unit response is performed, and it turned out that the required number of training epochs also decreases.

关键词： Neural networks Feature extraction systems engineering and theory Pattern recognition Computer vision Statistics

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Layered neural network training with model switching and hidden layer feature regularization

Layered neural network training with model switching and hid...

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International Joint Conference on Neural Networks (IJCNN)

作者： K. Kameyama K. Taga Tsukuha Advanced Research Alliance University of Tsukuba Tsukuba Ibaraki Japan Doctoral Program in Risk Engineering Graduate School of Systems and Information Engineering University of Tsukuba Tsukuba Ibaraki Japan

This work introduces a scheme of layered neural network training, which incorporates a dynamical model alteration during training, and regularization of the features extracted in the hidden layer units. So far, use of Model Switching (MS), which is a simultaneous search scheme for an optimal model and parameter, proved to improve training efficiency and generalization ability as a side effect. In MS, the operation to switch the network to a different model involve orthogonalization of the features extracted in the hidden layer. Assuming that the orthogonalization contributes to the observed merits, joint use of MS and orthogonalization of the hidden layer feature by introducing a regularization term in the training, is introduced. The network trained by the proposed training scheme is applied to a pattern recognition problem, and some improvement in training efficiency and generalization ability were observed.

关键词： Neural networks Pattern recognition Feature extraction Switches Supervised learning systems engineering and theory Data mining Probability density function Size measurement

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