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EQUIVALENT LINEAR-ARRAY APPROACH TO ARRAY PATTERN SYNTHESIS

IEEE JOURNAL OF OCEANIC ENGINEERING 1993年第1期18卷 6-14页

作者： WU, LX ZIELINSKI, A Department of Electrical and Computer Engineering University of Victoria Victoria BC Canada

A new and effective method for array radiation pattern synthesis is presented. The method allows formulation of the synthesis of a desired pattern as an optimization problem. The solution proposed involves matrix operations based on the equivalent linear array approach which leads to an easy and effective computation. The advantage of this approach is that it does not involve any numerical optimization routines only ordinary matrix operations are required. Illustrations are presented to highlight the various aspects of the method. The proposed algorithm can be used to design arrays of uniformly spaced elements with nonisotropic and unequal radiation patterns.

关键词： Optimization methods Linear matrix inequalities algorithm design and analysis Hilbert space

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INSTRUMENTATION FOR HIGH-SPEED IMAGE CONNECTIVITY

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IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT 1987年第1期36卷 71-76页

作者： FRENDO, M CAPSON, DW KITAI, R Department of Electrical and Computer Engineering McMaster University Hamilton ONT Canada

For flexible manufacturing, sorting, parts handling, etc., there are but a few object identification and tracking techniques that can approach or attain the speed requirements for real-time measurements on sequential images. One of the subtasks involved in the object identification process is the grouping of previously classified pixels into objects that can then be identified and located. Significant improvement has been attained in the implementation of a fast connectivity analysis algorithm, using a specially designed run length encoder and a high-speed digital signal processing chip.

关键词： algorithm design and analysis Object recognition Random access memory Approximation methods Signal processing algorithms Image segmentation

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ADAPTIVE-CONTROL FOR A SENSORLESS PERMANENT-MAGNET SYNCHRONOUS MOTOR DRIVE

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IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS 1994年第3期30卷 900-909页

作者： LIU, TH CHENG, CP Department of Electrical Engineering National Biwan Institute of Technology Taipei Taiwan

An adaptive velocity controller for a permanent-magnet synchronous motor without using shaft sensor is presented. Two line-to-line voltages and two stator currents are sensed to produce the flux position. The design part is concerned with the formulation of control algorithms for current-regulated pulsewidth modulated inverter and vector control strategy for speed loop. Under the vector control framework, self-tuning, model following, and model referencing adaptive control are applied to design for the speed-loop controllers. The implementational part integrates the control of current and speed loop using microprocessor-based controllers. Experimental case studies that correlate simulation and measurement results are provided. The experimental results validate the theoretical development. A new approach for designing advanced adaptive controller for a sensorless ac drive is provided.

关键词： Adaptive control Sensorless control Programmable control Machine vector control Velocity control Synchronous motors Shafts Voltage Stators algorithm design and analysis

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An Optimization-Based Parallel Particle Filter for Multitarget Tracking

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IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS 2012年第2期48卷 1601-1618页

作者： Sutharsan, S. Kirubarajan, T. Lang, Tom McDonald, Mike McMaster Univ Dept Elect & Comp Engn ETFLab Hamilton ON Canada Gen Dynam Canada Ltd Ottawa ON Canada Def Res Dev Canada Ottawa ON Canada

Particle filters are used in state estimation applications because of their capability to solve nonlinear and non-Gaussian problems effectively. However, they have high computational requirements, especially in the case of multitarget tracking, where data association is the bottleneck. In order to perform data association and estimation together, an augmented state vector, whose dimensions depend on the number of targets, is typically used in particle filters. With data association, the computational load increases exponentially as the number of targets increases. In this case, parallelization is a possibility for achieving real-time feasibility in large-scale multitarget tracking applications. In the work presented here, an optimization-based scheduling algorithm, that is suitable for parallel implementation of particle filter, is presented. This proposed scheduling algorithm minimizes the total computation time for the bus-connected heterogeneous primary-secondary architecture. Further, this scheduler is capable of selecting the optimal number of processors from a large pool of secondary processors and mapping the particles among the selected ones. A new distributed resampling algorithm suitable for parallel computing is also proposed. Furthermore, a less communication-intensive parallel implementation of the particle filter without compromising tracking accuracy using an efficient load balancing technique, in which optimal particle migration among secondary processors is ensured, is presented. Simulation results demonstrate the tracking effectiveness of the new parallel particle filter and the speedup achieved using parallelization.

关键词： algorithm design and analysis Computer architecture Particle filters Program processors Real time systems Target tracking

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A NEW APPROACH TO 3-DIMENSIONAL IMAGE-RECONSTRUCTION IN PET

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IEEE TRANSACTIONS ON NUCLEAR SCIENCE 1992年第5期39卷 1438-1443页

作者： ERLANDSSON, K STRAND, SE Department of Radiation Physics Lund University Lund Sweden

We have developed a new method for three-dimensional image reconstruction in PET, which preserves the simplicity of the two-dimensional methods. It was primarily developed for our constructed PET system consisting of two rotating scintillation cameras with a restricted axial fiel-of-view. In principle, however, it can also be used for multi-ring cameras with the interplane septa removed. The basic principle of our method is to organize the projection data so that 2D reconstruction can be used. The final image can be obtain using any available 2D reconstruction technique. The method consists of a combination of analytical and algebraical algorithms, including an iterative process with two-dimensional reconstruction of transaxial slices and deconvolution of a position dependent axial spread function. With this method we avoid the complex and time-consuming operation of 3D backprojection, but can still utilize all the detected events and take advantage of the three-dimensional information. The method has been evaluated with Monte Carlo simulations and phantom measurements.

关键词： Image reconstruction Positron emission tomography Reconstruction algorithms Event detection Cameras Deconvolution Solid scintillation detectors Cancer Physics algorithm design and analysis

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CALCULATING THE EXPLOITATION COSTS OF TRAINS IN THE SPANISH RAILWAYS

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COMPUTING IN SCIENCE & ENGINEERING 2013年第3期15卷 89-95页

作者： Roanes-Lozano, Eugenio Hernando, Antonio Garcia-Alvarez, Alberto Mesa, Luis Gonzalez-Franco, Ignacio Univ Complutense Madrid Algebra Dept E-28040 Madrid Spain

The Spanish railway network has two different track gauges, two electrification systems, and four families of signaling systems--and the rolling stock includes hybrid trains. The new, extended package presented here f... 详细信息

关键词： Scientific Computing Mathematics Statistics algorithm design and analysis Railway Transportation Signal Processing Scientific Computing Engineering Mathematics And Statistics algorithm design and analysis Network Problems

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EXPERT SYSTEMS FOR ON LINE SECURITY ASSESSMENT - A PRELIMINARY design

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IEEE TRANSACTIONS ON POWER SYSTEMS 1988年第2期3卷 654-659页

作者： CHRISTIE, RD TALUKDAR, SN LEEDS & NORTHRUP CO N WALESPA 19454 CARNEGIE MELLON UNIV ENGN DESIGN RES CTRPITTSBURGHPA 15213

It is argued that automatic security assessment schemes cannot generate information of high quality until their architectures, which are now wholly algorithmic, are changed to hybrids combining algorithms with expert systems. In particular numerical algorithms should continue to be used for simulating the effects of contingencies, but expert systems should be developed for selecting the contingencies and interpreting the simulation results. It is claimed that these changes will make automatic schemes more closely resemble the manual schemes that are used offline to generate assessment information of high quality. The problems of integrating hybrid software into existing energy management systems (EMSs) are viewed as far from trivial. These problems are discussed, and a solution is suggested, namely, the use of a network of workstations tied to existing EMS computers.< >

关键词： Expert systems Power system security Hybrid power systems Information security Data security Power system restoration algorithm design and analysis Medical services Problem-solving Power system measurements

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Playing with Duality

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IEEE SIGNAL PROCESSING MAGAZINE 2015年第6期32卷 31-54页

作者： Komodakis, Nikos Pesquet, Jean-Christophe Univ Crete Iraklion Greece Supelec Gif Sur Yvette France

Optimization methods are at the core of many problems in signal/image processing, computer vision, and machine learning. For a long time, it has been recognized that looking at the dual of an optimization problem may drastically simplify its solution. However, deriving efficient strategies that jointly bring into play the primal and dual problems is a more recent idea that has generated many important new contributions in recent years. These novel developments are grounded in the recent advances in convex analysis, discrete optimization, parallel processing, and nonsmooth optimization with an emphasis on sparsity issues. In this article, we aim to present the principles of primal-dual approaches while providing an overview of the numerical methods that have been proposed in different contexts. Last but not least, primal-dual methods lead to algorithms that are easily parallelizable. Today, such parallel algorithms are becoming increasingly important for efficiently handling high-dimensional problems.

关键词： Optimization Convex functions Signal processing algorithms algorithm design and analysis Image processing Computer vision Context modeling

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ITERATIVE PLACEMENT IMPROVEMENT BY NETWORK FLOW METHODS

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IEEE TRANSACTIONS ON COMPUTER-AIDED design OF INTEGRATED CIRCUITS AND SYSTEMS 1994年第10期13卷 1189-1200页

作者： DOLL, K JOHANNES, FM ANTREICH, KJ TECH UNIV MUNICH DEPT ELECT ENGNINST ELECT DESIGN AUTOMATD-80290 MUNICHGERMANY

We describe an efficient iterative improvement procedure for row-based cell placement with special emphasis on the objective function used to model net lengths. Two new net models are introduced and we prove theoretically that the net models are accurate approximations of the widely used half perimeter of a rectangle enclosing all pins of a net. In addition, unlike the half perimeter model, our net models allow us to compute costs for assigning cells to locations independently for all cells to be placed simultaneously. This offers our algorithm an important advantage compared to other iterative improvement techniques: many cells can be placed simultaneously by formulating placement as a network flow problem. This makes our algorithm more independent from a processing sequence than standard iterative improvement techniques. Finally, we compare our method to some existing algorithms including TimberWolfSC 5.4. We ran ah of the algorithms on the SIGDA Benchmark Suite. We found that our method produced solutions with up to 23% less layout area while using an order of magnitude Less running time compared to TimberWolfSC 5.4.

关键词： Iterative methods Iterative algorithms Partitioning algorithms algorithm design and analysis Costs Routing Pins Radio access networks Integrated circuit synthesis Application specific integrated circuits

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Memory Physical Aware Multi-Level Fault Diagnosis Flow

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IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTING 2020年第3期8卷 700-711页

作者： Harutyunyan, Gurgen Martirosyan, Suren Shoukourian, Samvel Zorian, Yervant Synopsys Yerevan 0026 Armenia Yerevan State Univ Yerevan 0025 Armenia Synopsys Mountain View CA 94043 USA

Advanced methods of fault detection and diagnosis become increasingly important for the improvement of reliability, safety and efficiency in nanoscale designs. Because the existing approaches do not give a deeper insight and usually do not allow a comprehensive fault diagnosis, multi-level model based methods of fault detection were developed by using hierarchy of detection and diagnosis methods. This contribution proposes a memory physical (scrambling) aware multi-level fault diagnosis flow which is generic and applicable both for planar- and FinFET-based memories. In addition, special test algorithms for classification of static and dynamic faults are discussed while for classification of FinFET-specific faults a new test algorithm March FFDD is proposed. The flow is validated on 16nm FPGA board as well as it has been applied to numerous chips enabling successful physical failure analysis (PFA). At the end of the paper some real-life case scenarios of the flow application are presented.

关键词： Couplings Heuristic algorithms Fault diagnosis Classification algorithms Transistors Random access memory algorithm design and analysis Memory faults built-in self-test memory scrambling multi-level diagnosis fault classification fault localization

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