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50th AIAA Aerospace Sciences Meeting Including the New Horizons Forum and Aerospace Exposition

作者： Simley, Eric Pao, Lucy Y. Kelley, Neil Jonkman, Bonnie Frehlich, Rod Dept. of Electrical Computer and Energy Engineering University of Colorado Boulder CO United States National Wind Technology Center NREL Golden CO 80401 United States Cooperative Institute for Research in Environmental Sciences Boulder CO 80309 United States

ISBN: (数字)9781600869365

Light Detection and Ranging (LIDAR) systems are able to measure the speed of incoming wind before it interacts with a wind turbine rotor. These preview wind measurements can be used in feedforward control systems designed to reduce turbine loads. However, the degree to which such preview-based control techniques can reduce loads by reacting to turbulence depends on how accurately the incoming wind field can be measured. Past studies have assumed Taylor's frozen turbulence hypothesis, which implies that turbulence remains unchanged as it advects downwind at the mean wind speed. With Taylor's hypothesis applied, the only source of wind speed measurement error is distortion caused by the LIDAR. This study introduces wind evolution, characterized by the longitudinal coherence of the wind, to LIDAR measurement simulations to create a more realistic measurement model. A simple model of wind evolution is applied to a frozen wind field used in previous studies to investigate the effects of varying the intensity of wind evolution. Simulation results show the combined effects of LIDAR errors and wind evolution for realistic turbine-mounted LIDAR measurement scenarios. Copyright © 2012 by the American Institute of Aeronautics and Astronautics, Inc.

关键词： Wind

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On the Capacity of Underwater Acoustic Particle Velocity Communication Channels

On the Capacity of Underwater Acoustic Particle Velocity Com...

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OCEANS Conference

作者： Huaihai Guo Ali Abdi Center for Wireless Communication and Signal Processing Research Dept. of Electrical and Computer Engineering New Jersey Institute of Technology

ISBN: (纸本)9781467308298

In this paper, the capacity of acoustic particle velocity channels is investigated. Closed form expressions are derived that determine maximum data rates in particle velocity channels, in terms of mean angle of arrival and angle spread. These expressions are useful for designing communication systems that operate in particle velocity channels.

关键词： Channel capacity Orthogonal frequency division multiplexing Particle velocity channels Underwater communication Vector sensors

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Evolving complex networks: A model for the integration/segregation phenomena

Evolving complex networks: A model for the integration/segre...

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3rd IFAC Conference on Analysis and Control of Chaotic systems, CHAOS 2012

作者： Avalos-Gaytán, Vanesa Almendral, Juan A. Schaeffer, Satu Elisa Boccaletti, Stefano Postgraduate Division in Systems Engineering Dept. of Mechanical and Electrical Engineering Universidad Autónoma de Nuevo Leon San-Nicolas de los Garza NL Mexico Complex Systems Group Dept. Tecnología Electrónica Universidad Rey Juan Carlos Calle Tulipán s/n 28933 Móstoles Madrid Spain Postgraduate Division in Computation and Mechatronics Dept. of Mechanical and Electrical Engineering Universidad Autónoma de Nuevo León San-Nicolás de los Garza NL Mexico Group of Computational Systems Biology Center for Biomedical Technology 28223 Pozuelo de Alarcón Madrid Spain

ISBN: (纸本)9783902823021

We study the integration/segregation problem from the viewpoint of complex networks, but considering that the network topology is not static but there is an adaptive mechanism acting on the links. Our goal is to identify under which conditions network synchronization occurs and what structural properties are present in the network topology when this happens. In particular, we experimentally compute the main descriptive structural properties of the network when it has been modified with the proposed mechanism, and it is elucidated the relationship between these results and the observed synchronization at both the local and global scale. Our main finding is that modularity, a global feature, can naturally emerge in a network when evolving links are considered, that is, by means of dynamical properties at the local scale. © 2012 IFAC.

关键词： Synchronization

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Detection of anomalous activity in hyperspectral imaging: Metrics for evaluating algorithms

Detection of anomalous activity in hyperspectral imaging: Me...

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18th Annual Conference on Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery

作者： Sharon, Gil Enbar, Roee Rotman, Stanley R. Blumberg, Dan G. Schlamm, Ariel Messinger, David Dept. of Electrical and Computer Engineering Ben-Gurion University of the Negev Beer-Sheva Israel Dept. of Geography and Environmental Development Ben-Gurion University of the Negev Beer-Sheva Israel Chester F. Carlson Center for Imaging Sciences Rochester Institute for Technology Rochester NY United States MITRE Corporation McLean VA United States

ISBN: (纸本)9780819490681

In this paper, we consider detecting man-made objects in natural images. We segment the image into tiles;we consider a variety of statistical metrics and correlate them to the presence of man-made targets. To quantify the metric, we apply a method of implanting targets and evaluating the resulting ROC (Receiver Operating Characteristic) curves. We rank previously reported algorithms and develop new ones in this paper. © 2012 SPIE.

关键词： Hyperspectral imaging

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Ontology-guided approach to retrieving disease manifestation images for health image base construction

Ontology-guided approach to retrieving disease manifestation...

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2012 IEEE 2nd Conference on Healthcare Informatics, Imaging and systems Biology, HISB 2012

作者： Chen, Yang Ren, Xiaofeng Zhang, Guo-Qiang Xu, Rong Dept. of Electrical Engineering and Computer Engineering Case Western Reserve University Cleveland OH 44106-7071 United States Intel Science and Technology Center on Pervasive Computing Seattle WA 98195 United States Division of Medical Informatics Case Western Reserve University Cleveland OH 44106-7291 United States

ISBN: (纸本)9780769549217

Building a comprehensive medical image database, in the spirit of the UMLS, can be beneficial for assisting diagnosis, patient education and self-care. However, a highly curated, comprehensive image database is difficult to collect as well as to annotate. We present an approach to combine visual object detection technologies with medical ontology to automatically mine web photos and retrieve a large number of disease manifestation images with minimal manual labeling. Comparing to a supervised approach, our ontology-guided approach reduces manual labeling effort to 1/10 on a variety of eye/ear/mouth diseases and improves the precision of retrieval by over 10% in many cases. © 2012 IEEE.

关键词： Ontology

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Dynamic network structure identification with prediction error methods - basic examples

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IFAC Proceedings Volumes 2012年第16期45卷 876-881页

作者： Arne G. Dankers Paul M.J. Van den Hof Peter S.C. Heuberger Xavier Bombois Delft Center for Systems and Control Delft University of Technology Mekelweg 2 2628 CD Delft The Netherlands Dept. of Electrical Engineering Eindhoven University of Technology P.O. Box 513 5600 MB Eindhoven The Netherlands

Modeling of dynamical properties of highly complex and interconnected systems becomes important in different fields of science. When identifying the structure and dynamics of a network of interconnected dynamical systems, including cause-effect relations, there is a tendency to use nonparametric or FIR models of the output error type. In this paper it is shown, and illustrated by some simple examples, that appropriate attention should be given to using flexible noise models, in order to allow consistent identification of the dynamics, while the use of external excitation/probing signals may reduce this need. It is a first step towards using prediction error identification tools to identify the structure of a network.

关键词： System identification Identifiability Network topologies Complex systems Prediction error methods

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Free Roll Decay Modeling of a Trimaran Based on Least Square Support Vector Machine

Free Roll Decay Modeling of a Trimaran Based on Least Square...

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OCEANS Conference

作者： Jinlong Li Songlin Yang Shuo Pang National Key Lab of AUV Technology Harbin Engineering University School of Naval Architecture and Ocean Engineering Jiangsu University of Science and Technology Dept. of Electrical Computer Software Systems Engineering Embry-Riddle Aeronautical University

ISBN: (纸本)9781467308298

A trimaran is a multihulled boat consisting of a main hull and two smaller outrigger hulls, attached to the main hull with lateral struts. There have been many studies highlighting that a trimaran takes many advantages over other types of hulls especially the roll performance, because of the greater resistance to rolling that the outrigger hulls offer. In order to study the rolling motion of a trimaran, an accurate roll motion model is needed. The rolling motion of a trimaran is inherently nonlinear due to both nonlinearities in the restoring moment and damping moment. This paper presents an estimation method to predict the linear and nonlinear roll damping parameters based on free roll decay experiments of a trimaran, whose outrigger hulls are movable both along the longitudinal and transverse direction. The estimation method is based on least square support vector regression (LS-SVR) theory. In order to verify the performance of this new estimation method, the least square (LS) estimation method is also applied to identify the parameters. Both methods show satisfying performances, however models generated by LS-SVR shows less accumulated errors than models generated by LS.

关键词： Trimaran Free roll decay Support vector regression Least square

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Revisiting the separation principle in stochastic control

Revisiting the separation principle in stochastic control

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IEEE Conference on Decision and Control

作者： Tryphon T. Georgiou Anders Lindquist Dept. of Electrical & Computer Engineering Univ. of Minnesota Minneapolis Minnesota The Center for Industrial and Applied Mathematics (CIAM) Royal Institute of Technology Stockholm Sweden

ISBN: (纸本)9781467320658

The separation principle is the statement that under suitable conditions the design of stochastic control can be divided into two separate problems, one of optimal control with state information and one of filtering. The literature over the past 50 years contains several derivations where subtle difficulties are overlooked and inadmissible shortcuts taken. Other contributions that have established the separation principle under various hypotheses require considerable mathematical sophistication, which makes the ideas difficult to include in standard textbooks. The contribution of the present work is a new set of conditions that are in line with basic engineering thinking and ensure that the separation principle holds. The feedback system is required to be well-posed in the sense that it defines a map between sample paths, representing signals rather than stochastic processes per se. This approach allows certain generalizations of the separation theorem to a wide class of feedback laws, models and stochastic noise, including martingales with possible jumps.

关键词： Yttrium Process control Stochastic processes Equations Kalman filters Differential equations Optimal control

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Adaptive contingency control: Wind turbine operation integrated with blade condition monitoring

Adaptive contingency control: Wind turbine operation integra...

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50th AIAA Aerospace Sciences Meeting Including the New Horizons Forum and Aerospace Exposition

作者： Frost, Susan A. Balas, Mark J. Goebel, Kai Wright, Alan D. NASA Ames Research Center Moffett Field CA 94035 United States University of Wyoming Laramie WY 82070 United States National Renewable Energy Laboratory Golden CO 80401 United States Intelligent Systems Division M/S 269-3 POB 1 United States Electrical and Computer Engineering Dept. United States National Wind Technology Center M/S 3811 1617 Cole Blvd. United States

Increasing turbine up-time and reducing maintenance costs are key technology drivers for wind turbine operators. Components within wind turbines are subject to considerable stresses due to unpredictable environmental conditions resulting from rapidly changing local dynamics. systems health management has the aim to assess the state-of-health of components within a wind turbine, to estimate remaining life, and to aid in autonomous decision-making to minimize damage. Advanced adaptive contingency control can provide the mechanism to enable safe and efficient turbine operation and provide enabling technology for systems Health Management goals. The work reported herein explores the integration of condition monitoring of wind turbine blades with adaptive controls capable of responding to potentially damaging environmental conditions. Results are demonstrated using a high fidelity simulator of a utility-scale wind turbine.

关键词： Condition monitoring

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Differential evolution-binary particle swarm optimization algorithm for the analysis of aryl β-diketo acids for HIV-1 integrase inhibition

Differential evolution-binary particle swarm optimization al...

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2012 IEEE Congress on Evolutionary Computation, CEC 2012

作者： Ko, Gene M. Srinivas Reddy, A. Kumar, Sunil Garg, Rajni Bailey, Barbara A. Hadaegh, Ahmad R. Computational Science Research Center San Diego State University San Diego CA 92182-1245 United States La Jolla Bioengineering Institute San Diego CA 92121 United States Dept. of Electrical and Computer Engineering San Diego State University San Diego CA 92182-1309 United States Dept. of Mathematics and Statistics San Diego State University San Diego CA 92182-7720 United States Dept. of Computer Science and Information Systems California State University San Marcos San Marcos CA 92096-0001 United States

ISBN: (纸本)9781467315098

A hybrid differential evolution-binary particle swarm optimization (DE-BPSO) algorithm is proposed as a feature selection algorithm in the development of quantitative structure-activity relationship (QSAR) models. DE is used to evolve the velocities of the particle swarm from which a series of rules are used to determine the discrete values of the position vectors which form chemical descriptor subsets. These descriptor subsets are then used to develop models for QSAR analysis. DE-BPSO was found to outperform the standalone BPSO algorithm. The DE-BPSO algorithm was then used to develop multiple linear regression models for the analysis of aryl β-diketo acid compounds for the inhibition of HIV-1 integrase. This model highlights the significance of hydrophobicity and partial positive charges of the hydrogen atoms on the molecular surface in influencing the biological activities of these compounds for the inhibition of HIV-1 integrase. © 2012 IEEE.

关键词： Particle swarm optimization (PSO)

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