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2005 27th Annual International Conference of the engineering in Medicine and Biology Society, IEEE-EMBS 2005

作者： Lee, Jae Kyoo Lee, Hoeun Jang, Eunje Lee, Sin-Doo Kim, Sung June Interdisciplinary Program of Biomedical Engineering Seoul National University Seoul Korea Republic of School of Chemical and Biomolecular Engineering Cornell University Ithaca NY School of Electrical Engineering Seoul National University Seoul Korea Republic of Nano-Bioelectronics and Systems Research Center Seoul National University Seoul Korea Republic of

ISBN: (纸本)0780387406

The use of light stimulus for triggering drug is a promising method for accurate drug delivery. A new approach using azopolymer membrane and laser holography was investigated for developing light-triggering drug delivery system. Polymeric drug delivery system was prepared by covering azopolymer membrane on a drug agent. Holographic laser interference generated surface relief grating pattern on the azopolymer surface. The widths and depths of gates on the polymer membrane were easily modified by adjusting incident angle and irradiation time. Ar laser made the polymeric membrane permeable to the drug agent and release it in a solution. This result indicated that the azopolymer and laser holography would provide a strong foundation for the light-triggering drug delivery system. © 2005 IEEE.

关键词： Biological membranes

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A concept formation support method and its prototype system using structural modeling and concept map

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systems and Computers in Japan 2005年第14期36卷 91-101页

作者： Saito, Hajime Ohuchi, Azuma Maeda, Takashi Faculty of Information Media Hokkaido Information University Ebetsu 069-8585 Japan Graduate School of Engineering Hokkaido Information University Ebetsu 069-8585 Japan Faculty of Information Media Hokkaido Information University Information Processing Society of Japan Japan Society for Fuzzy Theory and Intelligent Informatics Research Group of Complex Systems Engineering Graduate School of Information Science and Technology Hokkaido University IEEJ SICE OR Society of Japan Japan Association for Medical Informatics Japan Society of Hospital Administration IEEE-SMC Information Processing Society Artificial Intelligence Society Japan Society for Information and Systems in Education ACM AAAI AACE

This paper aims at using structural modeling and the concept map to support concept formation by students. The following procedures are proposed: (1) presentation of concept labels and their identification;(2) construction of consistent concept map;(3) precise specification of the necessary minimum number of guidance points. It is generally considered that the educational process should not be a mere feeding of knowledge to the student, but should encourage knowledge formation by the student, based on the understanding of related concepts. The concept map method was proposed in pedagogy as a means of extracting the process and the content of concept formation in quantitative form, for interactive discussion between the teacher and the student. Hitherto, it has usually been assumed that the concept labels to be used in concept map formation are given by the teacher to the student. In the proposed method, in contrast, the student is also given the opportunity to present concept labels. Another aspect of the past approach is that the teacher has been expected to find logical inconsistencies in the concept maps constructed by the student or to specify guidance points. This paper restricts the discussion to concept maps with the transitive property. Then, by introducing FISM, which is a structural modeling technique, effective and consistent concept map formation by the student is supported, and the minimum necessary number of guidance points are specified. An experiment was performed using the prototype system, and the possibility of learning was verified by the results obtained by the subjects. © 2005 Wiley Periodicals, Inc.

关键词： Education

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FURTHER RESULTS ON OUTPUT REGULATION BY PURE ERROR FEEDBACK

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IFAC Proceedings Volumes 2005年第1期38卷 258-263页

作者： C.I. Byrnes A. Isidori L. Marconi Department of Electrical and Systems Engineering Washington University St. Louis MO 63130 Dipartimento di Informatica e Sistemistica Università di Roma “La Sapienza” Italy Center for Research on Complex Automated Systems (CASY) DEIS – University of Bologna Italy

This work addresses the design of internal model-based regulators for nonlinear systems by error feedback in the general “non-equilibrium” framework proposed in (Byrnes and Isidori, 2003). The material presented here is specifically meant to complement the work in (Byrnes and Isidori, 2004) where a procedure for designing nonlinear internal model-based regulators was presented for systems having relative degree 1.

关键词： Output regulation Nonlinear internal models Output feedback High-gain observers

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Adaptive nonlinear auto-associative modeling through manifold learning

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9th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2005

作者： Zhang, Junping Li, Stan Z. Intelligent Information Processing Laboratory Department of Computer Science and Engineering Fudan University Shanghai 200433 China Key Laboratory of Complex Systems and Intelligence Science Chinese Academy of Sciences China National Laboratory of Pattern Recognition Center for Biometrics and Security Research Institute of Automation Beijing 100080 China

ISBN: (纸本)3540260765

We propose adaptive nonlinear auto-associative modeling (ANAM) based on Locally Linear Embedding algorithm (LLE) for learning intrinsic principal features of each concept separately and recognition thereby. Unlike traditional supervised manifold learning algorithm, the proposed ANAM algorithm has several advantages: 1) it implicitly embodies discriminant information because the suboptimal parameters of ANAM are determined based on error rate of the validation set. 2) it avoids the curse of dimensionality without loss accuracy because recognition is completed in the original space. Experiments on character and digit databases show that the advantages of the proposed ANAM algorithm. © Springer-Verlag Berlin Heidelberg 2005.

关键词： Learning systems

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Direct robust adaptive nonlinear control with derivatives estimation

Direct robust adaptive nonlinear control with derivatives es...

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作者： Efimov, D.V. Tyukin, I.Yu. Control of Complex Systems Laboratory Institute of Problem of Mechanical Engineering Bolshoi av. 61 V.O. St-Petersburg 199178 Russia Laboratory for Perceptual Dynamics Institute for Physical and Chemical Research Brain Science Institute 2-1 Hirosawa Wako-shi Saitama 351-0198 Japan

ISBN: (纸本)008045108X

in this paper we propose a novel adaptive control algorithm which allows to handle the issues of detectability, robustness and transient performance of adaptive systems. The controller structurally is similar to that of Panteley et al (2002). It is designed, however, on the grounds of rather different philosophy - estimation of the derivatives of plant state. in addition to systems which can be rendered to be asymptotically stable by means of the state feedback, plants satisfying assumption of partial asymptotic stability are considered. Copyright © 2005 IFAC.

关键词： State feedback

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The complementary characteristics of GPS and accelerometer in monitoring structural deformation

The complementary characteristics of GPS and accelerometer i...

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Institute of Navigation, 2005 National Technical Meeting, NTM 2005

作者： Li, Xiaojing Rizos, Chris Ge, Linlin Tamura, Yukio Yoshida, Akihito University of New South Wales Tokyo Polytechnic University Meteorological Research Institute of Japan Sydney Australia School of Surveying and Spatial Information Systems UNSW Australian Institute of Navigation IAG's Commission 4 Positioning and Applications IAG Sub-Commission 4.4 Applications of Airborne and Space-borne Imaging Systems Japan Association for Wind Engineering Committee on Wind Loading Architectural Institute of Japan Codification Working Group International Association for Wind Engineering Program

Traditionally structural response due to severe conditions has been measured using accelerometers, However it is a relative acceleration measurement, The displacement from acceleration measurement cannot be obtained directly by simply applying the laws of motion through double integration. GPS-RTK offers direct displacement measurements for dynamic monitoring, but it has its own limitations. The measurement accuracy can be affected by multipath and depends strongly on the satellite geometry. In this paper a new technique will be described that uses the correlation signals directly detected from GPS-RTK and accelerometer to transform one form of measurement to another. The methodology consists of Fast Fourier Transform (FFT), a filtering technique, and velocity linear trend estimation from both GPS and accelerometer measurements. Two types of datasets are tested, acquired by a combined GPS-RTK and accelerometer system deployed on a 108m steel tower. One dataset was collected from 19:00 to 21:00 Japan Standard Time (JST) during Typhoon No.21 on 1 October 2002. Another was collected from 18:00 to 19:00 JST when an earthquake occurred on 26 May 2003. The lab-based threshold setting for accelerometer suggested by earlier research has been avoided. The false and missing measurements from GPS can be recovered by acceleration transform. The weakness of lacking static and quasi-static components for the acceleration-derived results is also resolved by adding the GPS displacement linear trend. Because of redundancy within the integrated GPS-RTK and accelerometer system has shown robust quality assurance in monitoring structural deformation in full scale.

关键词： Global positioning system

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Wall following and obstacle avoidance results from a multi-DSP sonar ring on a mobile robot

Wall following and obstacle avoidance results from a multi-D...

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IEEE International Conference on Mechatronics and Automation

作者： S. Fazli L. Kleeman ARC Centre for Perceptive and Intelligent Machines in Complex Environments Intelligent Robotics Research Centre Department of Electrical and Computer Systems Engineering Monash University VIC Australia

Sensing capabilities of a multi-DSP sonar ring are demonstrated with wall following and obstacle avoidance behaviour. The autonomous mobile robot called "Sombrero" moves perpendicular to the nearest object on the left while controlling the distance to that object and generates high quality sonar maps. The wall following and obstacle avoidance behaviour is very simple due to the accurate and timely range and bearing (incidence angle) information provided by the advanced sonar ring. The advanced sonar ring consists of 48 ultrasonic transducers, 24 acting as transceivers and 24 acting as receivers, seven custom designed DSP echo processor boards and six analogue boards. The sonar ring is able to cover 360 degrees around robot with simultaneously firing of all 24 transmitters. Transmission and echo analysis are performed at repetition rates of about 10 Hz, for ranges up to six metres. Accurate distance and bearing measurements of objects are performed by the DSP system using matched filtering techniques. The robot is able to follow walls of various shapes such as a square, circle, concave corner and convex corner. Sombrero controls its motion based on the range and bearing data captured from the advanced sonar ring every 100 msec while moving with a constant speed. Experimental results illustrate the effectiveness of the sonar ring and the quality of the generated local maps.

关键词： Mobile robots Digital signal processing Sonar measurements Ultrasonic transducers Transceivers Process design Transmitters Performance analysis Performance evaluation Matched filters

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A stochastic analysis of the limit cycle behavior of a nonlinear aeroelastic model using the response surface method

A stochastic analysis of the limit cycle behavior of a nonli...

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46th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference

作者： Attar, Peter J. Dowell, Earl H. Computational Sciences Branch Wright-Patterson AFB OH 45433-7913 United States Duke University Durham NC 27708 United States Computational Sciences Branch Air Force Research Laboratory Wright-Patterson AFB United States AIAA United States Department of Mechanical Engineering and Materials Science Center for Nonlinear and Complex Systems Pratt School of Engineering United States

An efficient method is presented for quantifying the effect of parametric uncertainty on the response of a nonlinear aeroelastic system. The proposed stochastic model uses a response surface method to map the random input parameters of the system to the specified system output (in this instance root-mean square wing tip response). In order to handle the bifurcation in the response surface due to aeroelastic self-excited instability, the response surface model is fit using a two-region regression. The results from this model are compared to those from a full Monte Carlo simulation for both a one-dimensional random input parameter model(thickness) and a two-dimensional random input parameter model(thickness and modulus of elasticity). The response surface method results compare favorably with the full model results while achieving a two to three order of magnitude gain in computational efficiency.

关键词： Aerodynamics

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Online traffic light control through gradient estimation using stochastic fluid models

Online traffic light control through gradient estimation usi...

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作者： Panayiotou, Christos G. Howell, William C. Fu, Michael Department of Electrical and Computer Engineering University of Cyprus Nicosia Cyprus Applied Mathematics Scientific Computation Program Department of Mathematics University of Maryland College Park MD 20742 United States Smith School of Business and Institute for Systems Research University of Maryland College Park MD 20742 United States

ISBN: (纸本)008045108X

in this paper, we consider the problem of dynamically regulating the timing of traffic light controllers in busy cities. We use a Stochastic Fluid Model (SFM) to model the dynamics of the queues formed at an intersection. Based on this model, we derive gradients of the queue lengths with respect to the green/red light lengths within a signal cycle. We report preliminary numerical results comparing the performance of the estimates with finite-difference and smoothed perturbation analysis estimates. Then all estimators are used to optimize the traffic system via Stochastic Approximation. Copyright © 2005 IFAC.

关键词： Stochastic systems

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Coping with trial-to-trial variability of event related signals: A Bayesian inference approach

Coping with trial-to-trial variability of event related sign...

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13th European Signal Processing Conference, EUSIPCO 2005

作者： Ding, Mingzhou Knuth, Kevin Chen, Yonghong Bressler, Steven L. Schroeder, Charles E. Department of Biomedical Engineering University of Florida Gainesville FL 32611 United States NASA Ames Research Center Moffett Field CA 94035 United States Center for Complex Systems and Brain Sciences Florida Atlantic University Boca Raton FL 33431 United States Nathan Kline Institute Orangeburg NY 10962 United States

ISBN: (纸本)1604238216

In electroneurophysiology, single-trial brain responses to a sensory stimulus or a motor act are commonly assumed to result from the linear superposition of a stereotypic eventrelated signal (e.g. the event-related potential or ERP) that is invariant across trials and some ongoing brain activity often referred to as noise. To extract the signal, one performs an ensemble average of the brain responses over many identical trials to attenuate the noise. To date, this simple signal-plus-noise (SPN) model has been the dominant approach in cognitive neuroscience. Mounting empirical evidence has shown that the assumptions underlying this model may be overly simplistic. More realistic models have been proposed that account for the trial-to-trial variability of the event-related signal as well as the possibility of multiple differentially varying components within a given ERP waveform. The variable-signal-plus-noise (VSPN) model, which has been demonstrated to provide the foundation for separation and characterization of multiple differentially varying components, has the potential to provide a rich source of information for questions related to neural functions that complement the SPN model. Thus, being able to estimate the amplitude and latency of each ERP component on a trial-by-trial basis provides a critical link between the perceived benefits of the VSPN model and its many concrete applications. In this paper we describe a Bayesian approach to deal with this issue and the resulting strategy is referred to as the differentially Variable Component Analysis (dVCA).We compare the performance of dVCA on simulated data with Independent Component Analysis (ICA) and analyze neurobiological recordings from monkeys performing cognitive tasks.

关键词： Independent component analysis

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