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114th Annual ASEE Conference and Exposition, 2007

作者： Hawkes, Nicole Morrison, Jean Raghavendra, Cauligi WiSE University of Southern California United States University of Southern California United States Program University of Southern California United States Department of Earth Sciences Program USC Viterbi School of Engineering United States Departments of Electrical Engineering-Systems and Computer Science University of Southern California United States

The establishment of the Women in Science and engineering (WiSE) Program represents the serious commitment of the University of Southern California to address the under-representation of women in science and engineering. Since the launch of the program in 2000, WiSE has helped to more than double the number of tenured and tenure-track women faculty at USC from 15 to 35, through its recruitment and retention programs. Its complimentary programs to support undergraduates, graduate students, and postdoctoral scholars through a range of financial awards and activities have also grown in scope and impact. This paper describes the programs developed and administered by WiSE, the perceived successes to date, the challenges that remain, and the future directions of the program to ensure continued progress toward gender equity in science and engineering at USC. Through an analysis of the WiSE Program at USC, we hope to present a model from which others can draw on to tackle the same issues at their own institutions. © American Society for engineering Education, 2007.

关键词： engineering education

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Advances in Security Technologies: Imaging, Anomaly Detection, and Target and Biometric Recognition

Advances in Security Technologies: Imaging, Anomaly Detectio...

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Microwave, MTT-S International Symposium

作者： Joseph A. O'Sullivan Robert Pless Departments of Electrical and Systems Engineering Washington University St. Louis MO USA Departments of Computer Science and Engineering Washington University St. Louis MO USA

Security system design and analysis are constantly improving. There are advances in sensors, in system concept, and in signal and image processing that all contribute to these improvements. Several of these advances are discussed, with an emphasis on imaging sensors with a wide range of wavelengths and deployment scenarios. In order for a security system to provide timely, reliable information, the processing must be efficient and robust. Specific, yet generalizable, developments in surveillance systems and in recognition systems are detailed.

关键词： Security Biometrics Image recognition Target recognition Image sensors Biosensors System analysis and design Sensor systems Signal processing Image processing

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Electricity Markets under Uncertainty

Electricity Markets under Uncertainty

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Power Tech Conference

作者： Juan Alvarez Kumaraswamy Ponnambalam Victor H. Quintana Electrical and Computer Engineering Department University of Waterloo Waterloo ONT Canada Systems Design Engineering University of Waterloo Waterloo ONT Canada

In the ideal world, electricity markets are solved under the assumption that all quantities are deterministic. This is the equivalent of assuming that one can perfectly predict future levels of demand and supply. In the real world, the biggest source of uncertainty comes precisely from demand and supply levels. A clear understanding of the economical implications of randomness from supply and demand in electricity markets is still lacking. Random variations of any kind introduce risk. Therefore, one would be interested in somehow minimizing the risk when solving an electricity market. This paper explains the economical implications of minimizing the risk introduced by supply and demand uncertainties. The risk minimization technique used in this work is based on the well known mean-variance Markowitz theory.

关键词： Electricity supply industry Uncertainty Supply and demand Power generation economics Economic forecasting Fuel economy Costs Risk management design engineering Power system economics

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Multitarget tracking (MTT) in 3-D using 2-D particle filters with single passive sensor

Multitarget tracking (MTT) in 3-D using 2-D particle filters...

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50th Midwest Symposium on Circuits and systems

作者： Lee, Jinseok Cho, Shung Han Deng, Xi Hong, Sangjin Cho, We-Duke Mobile Systems Design Lab. Stony Brook University-SUNY Stony Brook NY 11794-2350 United States Dept. of Electrical and Computer Engineering Stony Brook University-SUNY Stony Brook NY 11794-2350 United States Dept. of Electronics Engineering College of Information Technology Ajou University South Korea

ISBN: (纸本)9781424411757

In this paper, we present an approach for multitarget association in 3 dimensional (3-D) space using independent 2-D based particle filters. The independent 2-D particle filters decompose the 3-D formulation and support multiple chances for the association. The proposed approach increases the association success rate. Furthermore, the approach is able to enhance the each target position estimation less sensitive to measurement noise. In this paper, we formulate the independent 2-D based particle filters for multitarget association and compare the performance to a conventional approach through the Cramer Rao Low Bound (CRLB).

关键词： Bandpass filters

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TRACKING CONTROL IN THE PRESENCE OF NONLINEAR DYNAMIC FRICTIONAL EFFECTS: ROBOT EXTENSION

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Asian Journal of Control 2008年第3期1卷

作者： M. Feemster D.M. Dawson A. Behal W. Dixon Matthew Feemster received the B.S degree in Electrical Engineering from Clemson University Clemson South Carolina in December 1994. Upon graduation he remained at Clemson University and received the M.S. degree in Electrical Engineering in 1997. During this time he also served as a research/teaching assistant. His research work focused on the design and implementation of various nonlinear control algorithms with emphasis on the induction motor and mechanical systems with friction present. He is currently working toward his Ph.D. degree in Electrical Engineering at Clemson University. Darren M. Dawson was born in 1962 in Macon Georgia. He received an Associate Degree in Mathematics from Macon Junior College in 1982 and a B.S. Degree in Electrical Engineering from the Georgia Institute of Technology in 1984. He then worked for Westinghouse as a control engineer from 1985 to 1987. In 1987 he returned to the Georgia Institute of Technology where he received the Ph.D. Degree in Electrical Engineering in March 1990. During this time he also served as a research/teaching assistant. In July 1990 he joined the Electrical and Computer Engineering Department and the Center for Advanced Manufacturing (CAM) at Clemson University where he currently holds the position of Professor. Under the CAM director's supervision he currently leads the Robotics and Manufacturing Automation Laboratory which is jointly operated by the Electrical and Mechanical Engineering departments. His main research interests are in the fields of nonlinear based robust adaptive and learning control with application to electro-mechanical systems including robot manipulators motor drives magnetic bearings flexible cables flexible beams and high-speed transport systems. Aman Behal was born in India in 1973. He received his Masters Degree in Electrical Engineering from Indian Institute of Technology Bombay in 1996. He is currently working towards a Ph.D in Controls and Robotics at Clemson University. His research focuses on the control of no

In this paper, we extend the observer/control strategies previously published in [25] to an n -link, serially connected, direct drive, rigid link, revolute robot operating in the presence of nonlinear friction effects modeled by the Lu-Gre model. In addition, we also present a new adaptive control technique for compensating for the nonlinear parameterizable Stribeck effects. Specifically, an adaptive observer/controller scheme is developed which contains a feedforward approximation of the Stribeck effects. This feedforward approximation is used in a composite controller/observer strategy which forces the average square integral of the position tracking error to an arbitrarily small value. Experimental results are included to illustrate the performance of the proposed controllers.

关键词： Friction compensation nonlinear control

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OPTIMAL CONTROL FOR TWO-DIMENSIONAL LINEAR systems WITH VARIABLE COEFFICIENTS

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Asian Journal of Control 2008年第4期1卷

作者： Jimshone Li Jason Sheng-Hong Tsai Leang-San Shieh Control System Laboratory Department of Electrical Engineering National Cheng Kung University Tainan 701 Taiwan R.O.C. Jim-Shone Li was born in Taiwan R. O.C. on April 20 1967. He received B.S. and M.S. degrees in Electrical Engineering from the Chung-Cheng Institute of Technology Taoyuan Taiwan R.O.C. in 1989 and 1993 respectively. He is currently a Ph.D. student at National Cheng-Kung University Tainan Taiwan R.O.C. His research interests include analysis and design of multidimensional systems and nonlinear system control. Department of Electrical and Computer Engineering University of Houston Houston TX 77004-4793 U.S.A.

An optimal control method for two-dimensional (2-D) linear systems with variable coefficients and free boundary conditions in Roesser's model is proposed in this paper. Based on Roesser's model, an equivalent general 1-D model of the 2-D system is presented, and the problem of minimizing a 2-D linear quadratic (LQ) cost function is solved for the case where complete state information is available. The solution is obtained by using the proposed dynamic programming in 1-D descriptor form to solve the Riccati equation and then arriving at the optimal control law and minimum cost. The proposed control methodology can be applied to discrete-time models of systems described by partial differential equations and can also be used in the field of signal processing.

关键词： Two-dimensional system optimal control Roesser's model Riccati equation

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Multitarget association and tracking in 3-D space based on particle filter with joint multitarget probability density

Multitarget association and tracking in 3-D space based on p...

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IEEE Conference on Advanced Video and Signal Based Surveillance (AVSS)

作者： Jinseok Lee Byung Guk Kim Shung Han Cho Sangjin Hong We-Duke Cho Mobile Systems Design Laboratory Department of Electrical and Computer Engineering Stony Brook University-SUNY Stony Brook NY USA

This paper addresses the problem of 3-dimensional (3D) multitarget tracking using particle filter with the joint multitarget probability density (JMPD) technique. The estimation allows the nonlinear target motion with unlabeled measurement association as well as non-Gaussian target state densities. In addition, we decompose the 3D formulation into multiple 2D particle filters that operate on the 2D planes. Both selection and combining of the 2D particle filters for 3D tracking are presented and discussed. Finally, we analyze the tracking and association performance of the proposed approach especially in the cases of multitarget crossing and overlapping.

关键词： Particle tracking Particle filters Target tracking Radar tracking Filtering State estimation Diversity reception Performance analysis Space technology Two dimensional displays

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Lung Segmentation in Pulmonary CT Images using Wavelet Transform

Lung Segmentation in Pulmonary CT Images using Wavelet Trans...

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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Omid Talakoub Javad Alirezaie Paul Babyn Department of Electrical and Computer Engineering Ryerson University Canada Department of Systems Design Engineering University of Waterloo Canada Department of Medical Imaging University of Toronto Canada

computer-aided diagnosis (CAD) has become a major research interest in diagnostic radiology and medical imaging. The basic goal of CAD is to provide a computer output as a second opinion to assist medical image interpretation by improving accuracy, consistency of diagnosis, and image interpretation time. Since a CAD system is only interested in analyzing a specific organ, segmentation of computer tomography (CT) images is a precursor to most image analysis applications. A fully automated method is presented to segment lung in pulmonary CT images based on detected lung edges by wavelet analysis. Due to wavelet transformation characteristics, the proposed method is not only computational inexpensive compared to other existing methods such as snakes or watershed, but also is robust and accurate in detecting lung borders. A set of 330 low dose (50 mA) CT images were processed demonstrating accuracy and satisfactory performance of the algorithm.

关键词： Lungs Image segmentation Computed tomography Wavelet transforms Image edge detection Biomedical imaging Image analysis computer aided diagnosis Radiology Medical diagnostic imaging

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Object Tracking Based on RFID Coverage Visual Compensation in Wireless Sensor Network

Object Tracking Based on RFID Coverage Visual Compensation i...

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IEEE International Symposium on Circuits and systems (ISCAS)

作者： Jinseok Lee Kyoung-Su Park Sangjin Hong We-Duke Cho Mobile Systems Design Laboratory Department of Electrical and Computer Engineering Stony Brook University-SUNY Stony Brook NY USA

This paper proposes objects tracking method by association with RFID and visual sensors. The detection from RFID readers with proximity to each object results in coarse localization. The estimation is determined by a virtual sensor which is comprised of RFID readers detection combination. Each virtual sensor has a reference point which represents the center of possible positions. After the coarse estimation, image frames from two cameras improve the estimation close to a real position based on parallel projection model. The visual compensation sufficiently accomplishes the refined tracking. The experimental results show our proposed algorithm remarkably accomplishes the localization performance.

关键词： Radiofrequency identification Wireless sensor networks Acoustic sensors Object detection Sensor systems Global Positioning System Cameras Satellite broadcasting Intelligent networks Mobile computing

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Real-time full-field 3-D surface-shape measurement using off-the-shelf components and a single processor

Real-time full-field 3-D surface-shape measurement using off...

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International Conference on 3D Imaging, Modeling, Processing, Visualization and Transmission (3DIMPVT)

作者： Peirong Jia Jonathan Kofman Chad English Computer Vision and Systems Laboratory Department of Electrical and Computer Engineering Laval University QUE Canada Department of Mechanical Engineering University of Ottawa Ottawa ONT Canada Department of Systems Design Engineering University of Waterloo Waterloo ONT Canada Neptec Design Group Limited Kanata ONT Canada

Phase-shifting fringe-projection methods have been increasingly used for three-dimensional (3D) object surface modeling to permit full-field measurement. This paper presents a real-time full-field high-resolution 3D surface-shape measurement system implemented with an efficient 3D shape measurement pipeline and triangular-pattern phase-shifting based on off-the-shelf components, software synchronization and a single computer-processor. The system projects computer-generated fringe patterns with a triangular intensity profile onto an object via a Digital Light Processing (DLP) projector. The projected patterns are electronically shifted and a CCD camera synchronized with the DLP projector by software captures the images from another direction. The captured images are processed by a single computer to reconstruct the 3D shape using triangular-pattern phase-shifting algorithms, and the model is displayed in real time. The 3D shape acquisition system achieved a speed of 5.6 fps for an image size of 648times494 pixels using the two-step triangular-pattern phase-shifting method, without any hardware synchronization or dual processing.

关键词： Phase measurement Shape measurement Real time systems Software measurement Pipelines Charge coupled devices Charge-coupled image sensors computer displays Image reconstruction Pixel

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