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2010 IEEE 5th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2010

作者： Muñoz, Daniel M. Llanos, Carlos H. Dos S. Coelho, Leandro Ayala-Rincón, Mauricio Department of Mechanical Engineering Automation and Control Group/GRACG University of Brasilia Brasilia D.F. Brazil Industrial and Systems Engineering Graduate Program Pontifical Catholic University of Parana Curitiba Parana Brazil Department of Computer Science and Mathematics University of Brasilia Brasilia D.F. Brazil

ISBN: (纸本)9781424464388

Meta-heuristics are efficient techniques for solving large scale optimization problems in which traditional mathematical techniques are impractical or provide sub-optimal solutions. The Shuffled Frog Leaping algorithm (SFLA) is a stochastic iterative method, bio-inspired on the memetic evolution of a group of frogs when seeking for food, which combines the social behavior-based of the particle swarm optimization technique (PSO) and the global information exchange of memetic algorithms. However, the SFLA algorithm suffers on large execution times, being this problem clearly evident when solving complex optimization problems for embedded applications. This drawback can be overcome by exploiting the parallel capabilities of the SFLA. This paper proposes a hardware parallel implementation of the SFLA algorithm (HPSFLA) using FPGAs (Field programmable gate Arrays) and the efficient floating-point arithmetic. The proposed architecture allows the SFLA to improve the functionality of the algorithm as well as to decrease the execution times by implementing parallel frogs and parallel memeplexes. Three well-known benchmark problems have been used to validate the implemented algorithm and simulation results demonstrate that the HPSFLA speeds-up by factors of 362, 727 and 211 a C-code implementation using an embedded microprocessor for the Sphere, Rastrigin and Rosenbrock benchmarks problems, respectively. Synthesis, simulation and execution time results demonstrate the effectiveness of the proposed HPSFLA architecture for embedded optimization systems. © 2010 IEEE.

关键词： Global optimization

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Fast image compression using over-complete ICAMM

Fast image compression using over-complete ICAMM

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作者： Peng, Chih-Cheng Kao, Chih-Hong Hsieh, Sheng-Ping Program in Electrical and Communications Engineering Feng Chia University Taichung Taiwan Aeronautical Systems Research Division Chung-Shan Institute of Science and Technology Taiwan Department of Electrical Engineering National Chung-Hsing University Taichung Taiwan Department of Automatic Control Engineering Feng Chia University Taichung Taiwan

ISBN: (纸本)9781424474530

This paper presents a new over complete ICAMM to make decomposition the basis for low-bit high-speed image compression on image sub-blocks. Although the over complete independent component analysis basic number is much larger than the original data dimension, most of the coefficients will be zero after performing the basis transform so that this algorithm reaches the low bit-rate compression goal. The over complete independent component effect approximates the wavelet basis functions. This is different from the discrete cosine function and wavelet function in that the independent component is relevant to the data itself. When using the over complete independent component analysis to decompose the image sub-blocks, it can divide self-adaptive learning into several subgroups based on the different characteristics of the text images. Each subgroup has a set of corresponding over complete independent components. In this way, it can be more efficient to reduce the bit rate use. At the same time the information in the subgroup can also be used in image transmission based on the different encodings. The experimental results show that our proposed approach achieves low bit-rate image compression. ©ICROS.

关键词： Image compression

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Comparison between two FPGA implementations of the particle swarm optimization algorithm for high-performance embedded applications

Comparison between two FPGA implementations of the particle ...

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2010 IEEE 5th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2010

作者： Muñoz, Daniel M. Llanos, Carlos H. Dos S. Coelho, Leandro Ayala-Rincón, Mauricio Department of Mechanical Engineering Automation and Control Group/GRACO University of Brasilia Brasilia D.F. Brazil Industrial and Systems Engineering Graduate Program LAS/PPGPES Pontifical Catholic University of Parana Curitiba Parana Brazil Department of Computer Science and Mathematics University of Brasilia Brasilia D.F. Brazil

ISBN: (纸本)9781424464388

Particle Swarm Optimization (PSO) algorithms have been proposed to solve engineering problems that require to find an optimal point of operation. There are several embedded applications which requires to solve online optimization problems with a high performance. However, the PSO suffers on large execution times, and this fact becomes evident when using Reduced Instruction Set Computer (RISC) microprocessors in which the operational frequencies are low in comparison with the high operational frequencies of traditional personal computers (PCs). This paper compares two hardware implementations of the parallel PSO algorithm using an efficient floating-point arithmetic which perform computations with large dynamic range and high precision. The full-parallel and the partially-parallel PSO architectures allow the parallel capabilities of the PSO to be exploited in order to decrease the running time. Three well-known benchmark test functions have been used to validate the hardware architectures and a comparison in terms of cost in logic area, quality of the solution and performance is reported. In addition, a comparison of the execution time between the hardware and two C-code software implementations, based on a Intel Core Duo at 1.6GHz and a embedded Microblaze microprocessor at 50MHz, are presented. © 2010 IEEE.

关键词： Global optimization

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Study of feature-based image capturing and recognition algorithm

Study of feature-based image capturing and recognition algor...

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作者： Kao, Chih-Hong Hsieh, Sheng-Ping Peng, Chih-Cheng Aeronautical Systems Research Division Chung-Shan Institute of Science and Technology Taiwan Department of Electrical Engineering National Chung-Hsing University Taichung Taiwan Department of Automatic Control Engineering Feng Chia University Taichung Taiwan Ph.D. Program in Electrical and Communications Engineering Feng Chia University Taichung Taiwan

ISBN: (纸本)9781424474530

In the field of applied computer vision, the three-dimensional (3D) object recognition is a very important technique which can be used to determine objects from a certain direction of the image for arbitrary 3D objects. These skills are useful in military applications, such as moving target recognition and coastal surveillance. Computer vision recognition allows fast response and all day long reconnaissance. The purpose of establishing a ship recognition system is to research and develop effective ship contour capture in the natural sea environment. We can develop a ship recognition system that is reliable and fast based on a database of ship images. We propose a recognition algorithm for ship images. This system utilizes gradient vector flow to capture the ship image contour first and calculates the geometric eigenvalue using this contour and Fourier descriptor. The eigenvalues are used to perform separate rough and detailed recognition. A graphic user interface is developed and the validity of the proposed technique is demonstrated using identifying images. ©ICROS.

关键词： Ships

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Help on SOS

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IEEE control systems MAGAZINE 2010年第4期30卷 18-23页

作者： [Anonymous] University of California at Berkeley (UCB) Mechanical Engineering Department United States California Institute of Technology United States Aerospace Engineering and Mechanics Department University of Minnesota United States Control Science and Dynamical Systems Program University of Minnesota United States

Andy Packard, an expert from University of California at Berkeley (UCB) Mechanical engineering Department shares views on the use of sum-of-squares (SOS) methods to determine the region of attraction (ROA). SOS applies to polynomials in several real variables and a polynomial is a finite linear combination of monomials. The ROA can be visualized by simulating the system from many initial conditions and plotting the trajectories in a phase plane plot for systems with two or three states. SOS techniques can be used to perform nonlinear analyses, including computation of input/output gains, estimation of reachable sets, and computation of robustness margins. The approaches that apply to SOS methods includes the computational requirements that grow rapidly in the number of variables and polynomial degree, which roughly limits SOS-based analysis to systems with at most eight to ten states, one to two inputs, and polynomial vector fields of degree 3.

关键词： Polynomials

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Help on SOS [Ask the Experts]

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IEEE control systems 2010年第4期30卷 18-23页

作者： Ufuk Topcu Andy Packard Peter Seiler Gary Balas Mechanical Engineering Department University of California Berkeley USA California Institute of Technology USA Aerospace Engineering and Mechanics Control Science and Dynamical Systems program University of Minnesota USA Aerospace Engineering and Mechanics Department University of Minnesota USA Research and Development Honeywell International Inc. USA

In this issue of IEEE control systems Magazine, Andy Packard and friends respond to a query on determining the region of attraction using sum-of-squares methods.

关键词： Polynomials Symmetric matrices Convergence Yield estimation control theory Matrix decomposition

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Optimizing Deployment of Multiple Decoys to Enhance Ship Survivability

Optimizing Deployment of Multiple Decoys to Enhance Ship Sur...

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2008 American control Conference (ACC), vol.5

作者： K.R. Akhil D. Ghose S. Koteswara Rao Systems Engineering Program Cornell University USA Guidance Control and Decision Systems laboratory (GCDSL) Department of Aerospace Engineering Indian Institute of Science Bangalore India NSTL Vizag India

In this paper we model a scenario where a ship uses decoys to evade a hostile torpedo. We address the problem of enhancing ship survivability against enemy torpedoes by using single and multiple decoy deployments. We incorporate deterministic ship maneuvers and realistic constraints on turn rates, field of view, etc in the model. We formulate the objective function to quantify and maximize the survivability of the ship in terms of maximizing the intercept time. We introduce the concept of optimal deployment regions, same side deployment, and zig-zag deployment strategies. Finally, we present simulation results.

关键词： Marine vehicles Equations Acceleration Weapons Intelligent systems Underwater tracking Protection Geometry Solid modeling Radio frequency

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Annual business and news:: Beginning the 31st year of the Journal of Guidance, control, and Dynamics

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JOURNAL OF GUIDANCE control AND DYNAMICS 2008年第1期31卷 1-1页

作者： Schmidt, George T. Aeronautics and Astronautics Massachusetts Institute of Technology (MIT) AIAA Institute of Electrical and Electronics Engineers Russian Federation Academy of Navigation and Motion Control Department of Mechanical and Aerospace Engineering and Engineering Mechanics University of Missouri-Rolla(UMR) Lockheed Electronics Company Center for Space Research University of Texas Austin United States Wright Laboratory Eglin Air Force Base UMR AIAA Guidance Navigation and Control Technical Committee American Automatic Control Council Lockheed Martin Aeronautics Company Palmdale CA United States C4ISR and Unmanned Air Vehicle (UAV) Programs for Air Vehicle Sciences and Systems Accreditation Board Engineering and Technology Inc./Aeronautical National Technical Committee on Guidance Navigation and Control Department of Mechanical and Aerospace Engineering University at Buffalo State University of New York (SUNY) AIAA Technical Committee on GN and C Air Vehicles Directorate Air Force Research Laboratory (AFRL) Wright-Patterson Air Force Base Space Access and Hypersonic Vehicle Guidance and Control Group Control Science Center of Excellence AFRL AIAA Technical Committee on Guidance Navigation and Control Department of Mechanical and Aeronautical Engineering University of California (UC) Davis United States Boeing Company Modernized Flight Control System for the Apache Longbow AIAA Institute of Electrical and Electronics Engineers AHS Jet Propulsion Laboratory California Institute of Technology Boeing Company Flight Sciences and Advanced Design Group Guidance Navigation and Control (GN and C) Systems Engineer Distributed Space Systems NASA Goddard Space Flight Center (GSFC) AIAA GN and C Technical Committee Department of Aerospace Engineering and Engineering Mechanics University of Texas Austin United States Institute of Navigation American Astronautical Society AIAA Guidance Navigation (GN and C) and Control Technical Committee Department of Aerospace Engineering Iowa State University Iowa

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PRESIDENT'S PAGE

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Naval Engineers Journal 2009年第6期109卷

作者： Joseph F. Yurso President Joseph F. Yurso:is currently director of technical development for Q.E.D. Systems Inc. He received a Bachelors of Science in mechanical engineering from The Pennsylvania State University and an Masters of Science in mechanical engineering from the Naval Postgraduate School. He also completed a special management program at Carnegie Mellon University. Prior to entering the Navy as an engineering duty officer Mr. Yurso was a refrigeration and air conditioning engineer for the Bureau of Ships. His Navy experience includes engineer officer of a combatant ship submarine type desk quality assurance officer and production officer in naval shipyards and planning officer quality assurance officer and deputy supervisor in Supervisor of Shipbuilding offices. His two command tours were as Supervisor of Shipbuilding Groton Connecticut (1980-81) and Shipyard Commander Portsmouth Naval Shipyard Kittery Maine (1981-84). He was awarded the Legion of Merit for both of these tours. Mr. Yurso has been a member of ASNE since 1964. He is a life member and a sustaining member of the Society. He has been active in several Sections including Charleston Northern and Southern New England and Tidewater. He is a former chairman of the Tidewater Section and was the chairman of the ASNE Fleet Maintenance Symposium in 1991. He served as Council vice president from 1993 to 1996 and as a member of Council for six years. He was a contributing author to the Society's first edition of Naval Engineering and American Sea Power. In 1993 he was awarded the Frank G. Law Award for his dedication and longtime service to the Society. Mr. Yurso maintains memberships in other societies including the American Society of Mechanical Engineers Sigma Xi the American Society for Quality Control Naval Institute and Tidewater Association of Service Contractors. He has held registered professional engineer status in two states and is listed inWho's Who in Science and Engineering.

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MODELING AND control OF ELEVATORS BY STATECHARTS

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Asian Journal of control 2008年第2期6卷

作者： Yi-Sheng Huang Sheng-Luen Chung Mu-Der Jeng Department of Aeronautical Engineering Chung Cheng Institute of Technology National Defense University Tashi Taoyuan 335 Taiwan R.O.C. Department of Electrical Engineering National Taiwan University of Science and Technology Taipei 106 Taiwan R.O.C. Department of Electrical Engineering National Taiwan Ocean University Kellung 202 Taiwan R.O.C. MuDer Jeng received the Ph.D. degree in computer and systems engineering from Rensselaer Polytechnic Institute Troy NY in 1992. Since August 1992 Dr. Jeng has been with National Taiwan Ocean University Keelung Taiwan where he is currently a full Professor at the Department of Electrical Engineering. His current research interests include Petri nets discrete event systems computer integrated manufacturing semiconductor factory automation embedded systems. Dr. Jeng is the author/co-author of over 120 book chapters journal papers and conference papers. Dr. Jeng received the Franklin V. Taylor Outstanding Paper Award from the IEEE Systems Man and Cybernetics Society in 1993. He was granted the Research Award by the National Science Council of Taiwan annually from 1994 to 2000. He is an Associate Editor for IEEE Transactions on Systems Man and Cybernetics-Part A IEEE Transactions on Robotics and Automation IEEE Transactions on Robotics and serves on the Editorial Board of International Journal of Computer Integrated Manufacturing. He has been a Guest Editor for eight leading journals. Dr. Jeng is the Chair of the Technical Committee on Discrete Event Systems of the IEEE SMC Society and the Founding Chair of the Technical Committee on Semiconductor Factory Automation of the IEEE Robotics and Automation Society. He served as the Exhibitions Chair of 2003 IEEE International Conference on Robotics and Automation and the Special Sessions Chair of 2004 IEEE International Conference on Networking Sensing and Control. He serves as a Program Co-Chair of 2005 IEEE International Conference on Networking Sensing and Control and the Organization Commit

Statechart has been utilized as a visual formalism for the modeling of complex and interactive systems for its illuminating features on describing properties of causality, concurrency, and synchronization. This paper presents the application of satechart to the modeling, design and implementation of an elevator system, whose system behavior involves aggregating complexity of state descriptions, and imposition of underlying control policy. Based on the operational flow of an elevator, we derive the associated statechart model by looking into the inherent hierarchical structure of the elevator. The advantage of the proposed approach is the clear presentation of system behavior in terms of conditions and events that cause the transitions in system dynamics. Implementation of the controlled elevator based on the modeled statechart is also presented.

关键词： Statechart interactive systems elevator

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