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IEEE International Conference on Systems, Man, and Cybernetics (SMC)

作者： Montero, Elizabeth Riff, Maria-Cristina Univ Tecn Federico Santa Maria Casilla 110-V Valparaiso Chile

ISBN: (纸本)9781479938407

We are interested in methods and strategies that allow us to simplify bio-inspired algorithms without reducing their accuracy. These algorithms are usually designed and implemented adding new components incrementally which makes inherently difficult to understand the relation between them and their individual contribution to the algorithm performance. In this paper, the information obtained when using a tuner to identify a set of good parameter values is analyzed and a method to use this tuner in order to help us to take design decisions is proposed. Our results are shown and our approach is validated using an artificial immune algorithm which has been proposed to solve multi-objective problems. The results show that these decisions lead to a code that is shorter than that of the initial algorithm while maintaining its performance.

关键词： artificial immune systems evolutionary computation artificial immune algorithms bio-inspired algorithms design decisions evolutionary calibrator multiobjective problems performance-aware method algorithm design and analysis Cloning Immune system Sociology Statistics Tuners

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Exploiting Thread and Data Level Parallelism for Ultimate Parallel SystemC Simulation 17

Exploiting Thread and Data Level Parallelism for Ultimate Pa...

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54th ACM/EDAC/IEEE design Automation Conference (DAC)

作者： Schmidt, Tim Liu, Guantao Domer, Rainer Univ Calif Irvine Ctr Embedded & Cyber Phys Syst Irvine CA 92697 USA

ISBN: (纸本)9781450349277

Most parallel SystemC approaches have two limitations: (a) the user must manually separate all parallel threads to avoid data corruption due to race conditions, and (b) available hardware vector units are not utilized. In this paper, we present an advanced compiler infrastructure for automatic parallelization of SystemC models at the thread-level. In addition, our infrastructure exploits opportunities for data-level parallelization. Our experimental results show a nearly linear speedup of NxM, where N and M denote the thread and data-level factors, respectively. In turn, a 4-core multi-processor achieves a speedup of up to 8.8x, and a 60-core Xeon Phi processor reaches up to 212x.

关键词： Parallel processing Instruction sets Computational modeling Embedded systems algorithm design and analysis Writing Data models

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A Non-Singleton Interval Type-2 Fuzzy Logic System for Universal Image Noise Removal using Quantum-Behaved Particle Swarm Optimization

A Non-Singleton Interval Type-2 Fuzzy Logic System for Unive...

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IEEE International Conference on Fuzzy Systems (FUZZ 2011)

作者： Zhai, Daoyuan Hao, Minshen Mendel, Jerry M. Univ So Calif Signal & Image Proc Inst Ming Hsieh Dept Elect Engn Los Angeles CA 90089 USA

ISBN: (纸本)9781424473175

Removing Mixed Gaussian and Impulse Noise (MGIN) is considered to be very important in the domain of image restoration, but it is a somewhat more challenging topic than removing pure Gaussian or impulse noise. Therefore, relatively fewer works have been published in this area. This paper proposes a Non-Singleton Interval Type-2 (IT2) Fuzzy Logic System (FLS) for MGIN removal, explains how it can be designed based on a Quantum-behaved Particle Swarm Optimization algorithm, and shows that it provides both quantitatively and visually much better results compared to other often-used non-fuzzy techniques as well as its Type-1 and singleton IT2 counterparts.

关键词： AWGN algorithm design and analysis Frequency selective surfaces Fuzzy logic Particle swarm optimization Training

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Plug-and-play decentralized frequency regulation for power networks with FACTS devices

Plug-and-play decentralized frequency regulation for power n...

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2014 IEEE International Conference on Smart Grid Communications (SmartGridComm)

作者： Riverso, Stefano Sarzo, Fabio Ferrari-Trecate, Giancarlo Univ Pavia Dipartimento Ingn Ind & Informaz Pavia Italy

ISBN: (纸本)9781479949342

In this paper, we propose decentralized controllers for the design of the Automatic Generation Control (AGC) layer in power networks equipped with Flexible AC Transmission Systems (FACTS) devices. We focus on the capability, provided by FACTS, of redirecting power flows by controlling physical parameters of tie-lines. Control design is decentralized as the procedure for synthesizing a controller for a generation area uses information from neighboring areas only. Moreover, our method is termed plug-and-play because, if a generation area is plugged in or out, at most neighboring areas must update their controllers, leaving the rest of the network unaffected. Performance brought about by the proposed controllers is discussed on a benchmark example.

关键词： flexible AC transmission systems frequency control power system control FACTS automatic generation control plug-and-play decentralized frequency regulation power networks algorithm design and analysis Automatic generation control Conferences Nickel Power system stability Predictive control Smart grids flexible AC transmission systems Automatic generation control Power grids Frequency control algorithm design and analysis Smart grids Power system control Power system stability Predictive control Nickel

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Fault-Tolerant Control and Diagnostics for Large-Scale Systems

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IEEE Control Systems 1995年第5期15卷 34-42页

作者： Eryurek, Evren Upadhyaya, Belle R. Rosemount Measurement Division of Fisher-Rosemount in Minneapolis MN. United States University of Tennessee Knoxville TN. United States

The integration of control design, signal and command validations, and diagnostics is the primary objective of this study. The fault-tolerant control principle consists of parallel control and command validation functions. The parallel control includes a number of control algorithms, each designed to accomplish the same control task using different sets of plant signals. The purpose of command validation is to predict the expected control actions using independent approaches, and to cross-check the control actions. The fault-tolerant control and diagnostics system (FCDS) was demonstrated with application to the regulation of the feedwater system in a four-loop pressurized water reactor (PWR) power plant. Because of a high level of reliability that can be achieved by this tier system for control design approach, this is referred to as a "smart" controller.< >

关键词： Fault tolerant systems Control systems Large-scale systems Control design Fault tolerance Signal design algorithm design and analysis Pressure control Inductors Power generation

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PLSA-based Sparse Representation for Vehicle Color Classification 12

PLSA-based Sparse Representation for Vehicle Color Classific...

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12th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)

作者： Wang, Ssu-Ying Hsieh, Jun-Wei Yan, Yilin Chen, Li-Chih Chen, Duan-yu Natl Taiwan Ocean Univ Dept Comp Sci & Engn 2 Beining Rd Keelung Taiwan Lee Ming Inst Tech Dept EE New Taipei Taiwan Yuan Ze Univ Dept EE Keelung 202 Taiwan

ISBN: (纸本)9781467376327

This paper proposes a novel vehicle color classification method which uses the concept of probabilistic latent semantic analysis (pLSA) to overcome the problem of sparse representation in data classification. Sparse representation is widely used and quite successful in many vision-based applications. However, it needs to calculate the sparse reconstruction cost (SRC) of each sample to find the best candidate. Because an optimization process is involved, it is very inefficient. In addition, it uses only the residual and does not consider the arrangement (or distribution) of combination coefficients of visual codes in classification. Thus, it often fails to classify categories if they are similar. In this paper, the pLSA concept is first introduced into the sparse representation to build a new classifier without using the SRC measure. The weakness of the pLSA scheme is the use of EM algorithm for updating the posteriori probability of latent class. Because it is very time-consuming, a novel weighting voting strategy is introduced to improve the pLSA scheme for recognizing objects in real time. The advantages of this classifier are: the accuracy is much higher than the SRC scheme and the efficiency is real-time in data classification. Vehicle color classification is demonstrated in this paper to prove the superiority of the new classifier.

关键词： algorithm design and analysis Classification algorithms Color Dictionaries Feature extraction Image color analysis Vehicles

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Supply and Demand in Smart Grid: A Closed-loop Pricing Strategy 54

Supply and Demand in Smart Grid: A Closed-loop Pricing Strat...

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54th IEEE Conference on Decision and Control (CDC)

作者： He, Jianping Zhao, Chengcheng Cai, Lin Cheng, Peng Shi, Ling Univ Victoria Victoria BC Canada Zhejiang Univ Hangzhou Zhejiang Peoples R China Hong Kong Univ Sci & Technol Hong Kong Hong Kong Peoples R China

ISBN: (纸本)9781479978861

How to design a dynamic pricing strategy in smart grid is an important but challenging problem due to the uncertainty of customers' demand and their reaction to the price. Most of the existing pricing strategies depend on the prediction of customers' demand and their reaction to the price, thus are not robust enough due to the prediction which may cause a high cost to the supplier. In this paper, we propose a closed-loop pricing algorithm (CPA), which can largely decrease the cost and result in both costing savings for customers and higher profit for the supplier, and thus achieves a win-win solution. We provide sufficient conditions to guarantee the win-win solution for customers and the supplier. We also prove that CPA can obtain a stable price. Extensive simulations confirm with our analysis and show that the combined cost saving and profit gain of both customers and the supplier can be 76% by the proposed algorithm compared with the prediction-based pricing algorithm.

关键词： algorithm design and analysis Heuristic algorithms Power system dynamics Prediction algorithms Pricing Schedules Smart grids

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A multi-modal immune optimization algorithm for IIR filter design

A multi-modal immune optimization algorithm for IIR filter d...

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International Conference on Intelligent Computation Technology and Automation

作者： Lu, Hong Huaihai Inst Technol Sch Elect Engn Lianyungang Jiangsu Prov Peoples R China

ISBN: (纸本)9780769533575

Adaptive infinite-impulse-response(IIR) filter provides a powerful approach for solving a variety of practical problems. However, they might hove a multi-modal error surface and their design is formulated as a highly nonlinear optimization problem. By integrating chaos mechanism and niche technique, a novel immune optimization algorithm based on the clonal selection principle and idiotypic immune network theory exhibited in biological immune system with global optimization ability, called multi-modal immune optimization algorithm(MIOA), is proposed for digital IIR filter design in this paper. Taking advantages of the ergodic and stochastic properties of chaotic variable, an adaptive chaos mutation operator is designed by the combination of prior knowledge of antibody and evolution iterations, the new algorithm has the advantage of preventing from prematurity and fast convergence speed. Simulation results show that the proposed approach is accurate and has a fast convergence rate, and the results obtained demonstrate that the proposed method can be efficiently used for digital IIR filter design.

关键词： design optimization IIR filters algorithm design and analysis Immune system Chaos Convergence Adaptive filters Stochastic processes Genetic mutations Evolution (biology)

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Qualitative Differences of Two Classes of Multivariable Super-Twisting algorithms 54

Qualitative Differences of Two Classes of Multivariable Supe...

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54th IEEE Conference on Decision and Control (CDC)

作者： Lopez-Caamal, Fernando Moreno, Jaime A. Univ Nacl Autonoma Mexico Inst Ingn Coordinat Elect & Comp Mexico City 04510 DF Mexico

ISBN: (纸本)9781479978861

In this paper we compare two families of multivariable super-twisting algorithms. The first family is an implementation of independent generalised super-twisting algorithms, whereas the second one presents nonlinearities that couple all the states. For the latter, the Lyapuov stability proof boils down to the positive-definitiveness test of a 2 x 2 matrix, in spite of the number of states. This second family is a generalisation of the multivariable super-twisting algorithm available in the literature. Furthermore, we highlight differences between these families regarding i) the discontinuity of the state space;ii) the number of design parameters;and iii) their convergence properties. We show their applicability and differences by designing an observer for a continuous-time, linear, time-invariant system. To conclude, we present a motivating example that suggests the robust stability of the feedback interconnection of generalised super-twisting algorithms.

关键词： algorithm design and analysis Asymptotic stability Convergence Heuristic algorithms Lyapunov methods Observers Stability analysis

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Ensemble Classifier for Combining Stereo Matching algorithms

Ensemble Classifier for Combining Stereo Matching Algorithms

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2015 International Conference on 3D Vision (ENS)

作者： Spyropoulos, Aristotle Mordohai, Philippos Stevens Inst Technol Hoboken NJ 07030 USA

ISBN: (纸本)9781467383325

Stereo matching, as many problems in computer vision, has been addressed by a multitude of algorithms, each with its own strengths and weaknesses. Instead of following the conventional approach and trying to tune or enhance one of the algorithms so that it dominates the competition, we resign to the idea that a truly optimal algorithm may not be discovered soon and take a different approach. We present a novel methodology for combining a large number of heterogeneous algorithms that is able to clearly surpass the accuracy of the most accurate algorithms in the set. At the core of our approach is the design of an ensemble classifier trained to decide whether a particular stereo matcher is correct on a certain pixel. In addition to features describing the pixel, our feature vector encodes the agreement and disagreement between the matcher under consideration and all other matchers. This formulation leads to high accuracy in disparity estimation on the KITTI stereo benchmark.

关键词： Accuracy Adaptive optics algorithm design and analysis Benchmark testing Estimation Image edge detection Optical sensors

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