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检索条件"主题词=Algorithm Design And Analysis"

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Comparison of different algorithms for InterCriteria relations calculation

Comparison of different algorithms for InterCriteria relatio...

引用

International IEEE Conference on Intelligent Systems, IS

作者： Olympia Roeva Peter Vassilev Maria Angelova Tania Pencheva Jun Su Institute of Biophysics and Biomedical Engineering Bulgarian Academy of Sciences School of Computer Science Hubei University of Technology Hubei China

In this investigation different algorithms for InterCriteria relations calculation are proposed. The algorithms are investigated by exploring the influence of genetic parameters on algorithm performance during the model parameter identification of E. coli fermentation process. Four different algorithms performing InterCriteria analysis (ICrA), namely μ-biased, balanced, ν-biased and unbiased, are applied. Proposed ICrA algorithms are compared based on real experimental data set of an E. coli MC4110 fed-batch fermentation process. The obtained results show that for considered here case study the most reliable algorithm is the μ-biased one.

关键词： Genetic algorithms Biological system modeling Mathematical model algorithm design and analysis Optimization Convergence Biomass

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Dot-product engine as computing memory to accelerate machine learning algorithms

Dot-product engine as computing memory to accelerate machine...

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IEEE International Symposium on Quality Electronic design

作者： Miao Hu John Paul Strachan Zhiyong Li R. Stanley Williams Hewlett Packard Labs Palo Alto CA USA

Currently, intense work is underway to develop memristor crossbar arrays for high density, nonvolatile memory applications. However, another capability of memristor crossbars - natural dot-product operation for vectors and matrices - holds even greater potential for next-generation computing, including accelerators, neuromorphic computing, and heterogeneous computing. In this paper, we present a dot-product engine (DPE) based on memristor crossbars optimized for dense matrix computation, which is dominated in most machine learning algorithms. We explored multiple methods to enhance DPE's dot-product computing accuracy. Moreover, instead of training crossbars, we try to directly use existing software-trained weight matrices on DPEs so no heroic effort is needed to innovate learning algorithms for new hardware. Our results show that computations utilizing DPEs can achieve 1000 ~ 10000 times better speed-efficiency product comparing to a state-of-art ASIC [1]. And machine learning algorithm utilizing DPEs can easily achieve software-level accuracy on testing. Both experimental demonstrations and data-calibrated circuit simulations are presented to demonstrate the realistic implementation of a memristor crossbar DPE.

关键词： Memristors Resistance Wires Programming Machine learning algorithms algorithm design and analysis Degradation

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State feedback control design for fractional order nonlinear lower triangular systems

State feedback control design for fractional order nonlinear...

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Chinese Control Conference (CCC)

作者： Yige Zhao Yuzhen Wang Xiaodong Lu School of Control Science and Engineering Shandong University Jinan Shandong CN

By the Lyapunov function method, this paper studies the design of the state feedback stabilizing controller for fractional order nonlinear lower triangular systems, and presents a number of new results. Using introducing appropriate transformations of coordinates, the problem of controller design is converted into the problem of finding some parameters. Based on the Lyapunov function method and some properties of Caputo fractional derivative, the state feedback stabilizing controller makes the closed-loop system asymptotically stable. A simulation example is given to demonstrate the effectiveness of the proposed design procedure.

关键词： State feedback Lyapunov methods Stability analysis Asymptotic stability Closed loop systems Symmetric matrices algorithm design and analysis

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Genetic algorithm adopting building block identification applied to optimal design of IPMSM

Genetic algorithm adopting building block identification app...

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IEEE Conference on Electromagnetic Field Computation

作者： Byungkwan Son Dae-Woo Kim Jong-Wook Kim Yong-Jae Kim Sang-Yong Jung School of Electronic and Electrical Engineering Sungkyunkwan University Suwon Republic of Korea Department of Electronics Engineering Dong-A University Busan Republic of Korea Department of Electrical Engineering Chosun University Gwangju Republic of Korea

ISBN: (纸本)9781509010332

In this paper, Genetic algorithm (GA) based on Building Block (BB) identification is applied to optimal design of Interior Permanent Magnet Synchronous Motor (IPMSM). BBs on IPMSM design variables are identified using the proposed algorithm based on nonlinearity check by perturbation. Consequently, BB information regarding the design of IPMSM is proposed and the performance of the proposed algorithm is verified by comparing it with GA which does not consider BB.

关键词： Genetic algorithms algorithm design and analysis Couplings Permanent magnet motors Electric machines Electrical engineering Convergence

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The HCI Benchmark Suite: Stereo and Flow Ground Truth with Uncertainties for Urban Autonomous Driving

The HCI Benchmark Suite: Stereo and Flow Ground Truth with U...

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IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

作者： Daniel Kondermann Rahul Nair Katrin Honauer Karsten Krispin Jonas Andrulis Alexander Brock Burkhard Güssefeld Mohsen Rahimimoghaddam Sabine Hofmann Claus Brenner Bernd Jähne Heidelberg Collaboratory for Image Processing Ruprecht-Karls Universität Heidelberg Germany pallas Ludens GmbH Heidelberg Germany Institute of Cartography and Geoinformatics Leibniz Universität Hannover Germany

Recent advances in autonomous driving require more and more highly realistic reference data, even for difficult situations such as low light and bad weather. We present a new stereo and optical flow dataset to complement existing benchmarks. It was specifically designed to be representative for urban autonomous driving, including realistic, systematically varied radiometric and geometric challenges which were previously unavailable. The accuracy of the ground truth is evaluated based on Monte Carlo simulations yielding full, per-pixel distributions. Interquartile ranges are used as uncertainty measure to create binary masks for arbitrary accuracy thresholds and show that we achieved uncertainties better than those reported for comparable outdoor benchmarks. Binary masks for all dynamically moving regions are supplied with estimated stereo and flow values. An initial public benchmark dataset of 55 manually selected sequences between 19 and 100 frames long are made available in a dedicated website featuring interactive tools for database search, visualization, comparison and benchmarking.

关键词： Benchmark testing Measurement Uncertainty Cameras Optical imaging Optical sensors algorithm design and analysis

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A Coordinated algorithm with Resource Evaluation for Service Function Chain Allocation

A Coordinated Algorithm with Resource Evaluation for Service...

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IEEE International Conference on Big Data and Cloud Computing (BdCloud)

作者： Xiaoming You Xiaoxue Wang Aiguo Chen Guangchun Luo NO.32 Institute of China Electronic Technology Group Corporation Shanghai China School of Software Engineering Tongji University Shanghai China School of Computer Science and Engineering University of Electronic Science and Technology of China Chengdu China

ISBN: (纸本)9781509039371

In the delivery of end-to-end services, Network Functions (NFs) are frequently utilized. Traditionally, these NFs are implemented on middle-boxes. Since physical middle-boxes are hardware-based, expensive and hard to maintain and upgrade, they are replaced by Virtual Network Functions (VNFs) following the trend of Network Function Virtualization (NFV). Nowadays services are implemented by the ordered combination of a set of VNFs that are deployed in appropriate place within the network. The problems brought by NFV are: How to construct the VNFs chain and How the VNFs chain is allocated to Substrate Network (SN). In this paper, a Modified Topological Sort algorithm (MTSA) is proposed to solve the two problems simultaneous and two node selection strategies (Embedding Node Selection Strategy (ENSS) and Virtual Node Selection Strategy (VNSS)) based on resource evaluation are raised to further improve the efficiency. Simulation experiments show that the proposed method significantly decreases the backtracking steps which guarantee a reasonable runtime.

关键词： Substrates Bandwidth algorithm design and analysis Heuristic algorithms TV Frequency modulation Cloud computing

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OCR based feature extraction and template matching algorithms for Qatari number plate

OCR based feature extraction and template matching algorithm...

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International Conference on Computer Systems and Industrial Informatics (ICCSII)

作者： Ali Farhat Ali Al-Zawqari Abdulhadi Al-Qahtani Omar Hommos Faycal Bensaali Abbes Amira Xiaojun Zhai College of Engineering Qatar University Doha Qatar Department of Computing and Mathematics University of Derby Derby UK

There are several algorithms and methods that could be applied to perform the character recognition stage of an automatic number plate recognition system; however, the constraints of having a high recognition rate and real-time processing should be taken into consideration. In this paper four algorithms applied to Qatari number plates are presented and compared. The proposed algorithms are based on feature extraction (vector crossing, zoning, combined zoning and vector crossing) and template matching techniques. All four proposed algorithms have been implemented and tested using MATLAB. A total of 2790 Qatari binary character images were used to test the algorithms. Template matching based algorithm showed the highest recognition rate of 99.5% with an average time of 1.95 ms per character.

关键词： Optical character recognition software Feature extraction Character recognition Image segmentation algorithm design and analysis Testing Classification algorithms

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Computing best coverage path with reliability in wireless sensor networks

Computing best coverage path with reliability in wireless se...

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Colossal Data analysis and Networking (CDAN)

作者： Pramod Tripathi Computer Department Madhuben And Bhanubhai Patel Women Institute of Engineering New Vallabh Vidyanagar India

ISBN: (纸本)9781509006700

Under the domain of barrier coverage, Best Coverage Path can be calculated using computational geometric algorithms. The sensing field may have randomly distributed sensors that can provide a cover to a single point by multiple numbers of sensors resulting into a k-coverage scenario where k is the constant number of sensors available to cover any single point on the field. In real environment we have obstacles that hinders path and obstruct line of sight. Obstacles can be simulated as geometrical shapes say line segment causing absolute opaqueness to the line of sight and blockage of path. In this paper we have proposed an approach of computing a k-covered Best coverage path between a pair of location on a two dimensional field in presence of line segment obstacles. An algorithm is proposed to find a path covered by a constant number of sensors in polynomial time. Then a java application based on proposed algorithm has been designed and some observations are being made.

关键词： Sensors algorithm design and analysis Reliability Measurement Data analysis Computational geometry Wireless sensor networks

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Leveraging distributed GraphLab for program trace analysis

Leveraging distributed GraphLab for program trace analysis

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International Conference on High Performance Computing & Simulation (HPCS)

作者： Julien Collet Tanguy Sassolas Yves Lhuillier Renaud Sirdey Jacques Carlier CEA LIST CEDEX FRANCE Heudiasyc Université de Technologie de Compiegne Compiegne France

Graph-mining is a class of data-mining problems where programs involve the processing of data modeled as graphs. These applications often exhibit irregular and data-dependent communication patterns, hampering parallelization opportunities on distributed architectures. Many tools and frameworks were created for the scalable processing of graphs but their comparison is non-trivial on distributed architectures as there is no efficiency metrics with respect to distributed resource usage. Considering an in-house use-case, program trace analysis for parallelization optimizations, we study the benefits and limits of a graph-processing framework for a tangible application. The algorithm was implemented using GraphLab and executed on a humble 7-node commodity cluster with input instances up to 40 million vertices and 50 million edges. We propose in this paper an in-depth analysis of the GraphLab system to evaluate its performance and scalability in the context of program trace analysis. The analysis is driven both by traditional and domain-specific metrics and contributes to a better understanding of the system behavior.

关键词： algorithm design and analysis Computational modeling Programming Measurement Message systems Libraries Engines

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Parameter estimation of bioprocesses via parallel particle swarm optimization

Parameter estimation of bioprocesses via parallel particle s...

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International Conference on System Theory, Control, and Computing (ICSTCC)

作者： Dorin Şendrescu Emil Petre Eugen Bobaşu Monica Roman Department of Automatics and Electronics University of Craiova Craiova Romania

Modeling of biotechnological systems is an important research area. The most challenging approach is to build non-linear state space models for these systems. In this work the parameters of a bacterial growth bioprocess are estimated using prediction error method. Prediction error methods are widely used in parameter estimation both for linear and nonlinear models and consist in minimization of the distance between measured and modeled data in a suitable norm. Because these problems are solved using numerical algorithms that are time consuming, in this paper a parallel particle swarm optimization technique is used in order to numerically solve the minimization problem. The algorithm is implemented on a multicore processor and the performances of this approach are presented by numerical simulations.

关键词： Biological system modeling Mathematical model Optimization algorithm design and analysis Particle swarm optimization Numerical models Linear programming

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