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A Hybrid Wavelet Fuzzy Neural Network and Switching Particle Swarm Optimization Algorithm for AC Servo System

MATHEMATICAL PROBLEMS IN ENGINEERING 2016年第1期2016卷 1-9页

作者： Hou, Run-min Hou, Yuan-long Wang, Chao Gao, Qiang Sun, Hao Nanjing Univ Sci & Technol Dept Mech Engn Nanjing 210094 Jiangsu Peoples R China

Ahybrid computational intelligent approachwhich combineswavelet fuzzy neural network (WFNN) with switching particle swarm optimization (SPSO) algorithm is proposed to control the nonlinearity, wide variation in loads, time variation, and uncertain disturbance of the high-powerACservo system. TheWFNNmethod integratedwavelet transforms with fuzzy rules and is proposed to achieve precise positioning control of the AC servo system. As the WFNN controller, the back-propagation method is used for the online learning algorithm. Moreover, the SPSO is proposed to adapt the learning rates of theWFNN online, where the velocity updating equation is according to aMarkov chain, whichmakes it easy to jump the local minimum, and acceleration coefficients are dependent on mode switching. Furthermore, the stability of the closed loop system is guaranteed by using the Lyapunov method. The results of the simulation and the prototype test prove that the proposed approach can improve the steady-state performance and possess strong robustness to both parameter perturbation and load disturbance.

关键词： computer algorithms PARTICLE swarm optimization FUZZY neural networks ARTIFICIAL intelligence WAVELET transforms

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A Motion Detection Algorithm Using Local Phase Information

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COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE 2016年第1期2016卷 1-21页

作者： Lazar, Aurel A. Ukani, Nikul H. Zhou, Yiyin Columbia Univ Dept Elect Engn New York NY 10027 USA

Previous research demonstrated that global phase alone can be used to faithfully represent visual scenes. Here we provide a reconstruction algorithmby using only local phase information. We also demonstrate that local phase alone can be effectively used to detect local motion. The local phase-based motion detector is akin to models employed to detect motion in biological vision, for example, the Reichardt detector. The local phase-based motion detection algorithm introduced here consists of two building blocks. The first building block measures/evaluates the temporal change of the local phase. The temporal derivative of the local phase is shown to exhibit the structure of a second order Volterra kernel with two normalized inputs. We provide an efficient, FFT-based algorithm for implementing the change of the local phase. The second processing building block implements the detector;it compares the maximum of the Radon transform of the local phase derivative with a chosen threshold. We demonstrate examples of applying the local phase-based motion detection algorithm on several video sequences. We also show how the locally detected motion can be used for segmenting moving objects in video scenes and compare our local phase-based algorithm to segmentation achieved with a widely used optic flow algorithm.

关键词： MOTION detectors computer algorithms VOLTERRA equations FAST Fourier transforms SEGMENTATION (Image processing) OPTICAL flow

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Optimized Data Replication for Small Files in Cloud Storage Systems

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MATHEMATICAL PROBLEMS IN ENGINEERING 2016年第1期2016卷 1-8页

作者： Fu, Xiong Liu, Wenjie Cang, Yeliang Gong, Xiaojie Deng, Song Nanjing Univ Posts & Telecommun Sch Comp & Technol Nanjing 210023 Jiangsu Peoples R China Jiangsu High Technol Res Key Lab Wireless Sensor Nanjing 210023 Jiangsu Peoples R China Nanjing Univ Posts & Telecommun Inst Adv Technol Nanjing 210023 Jiangsu Peoples R China

Cloud storage has become an important part of a cloud system nowadays. Most current cloud storage systems perform well for large files but they cannot manage small file storage appropriately. With the development of cloud services, more and more small files are emerging. Therefore, we propose an optimized data replication approach for small files in cloud storage systems. A small file merging algorithm and a block replica placement algorithm are involved in this approach. Small files are classified into four types according to their access frequencies. A number of small files will be merged into the same block based on which type they belong to. And the replica placement algorithm helps to improve the access efficiencies of small files in a cloud system. Related experiment results demonstrate that our proposed approach can effectively shorten the time spent reading and writing small files, and it performs better than the other two already known data replication algorithms: HAR and SequenceFile.

关键词： DATA replication computer files CLOUD computing computer storage devices computer algorithms

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A Dynamic Health Assessment Approach for Shearer Based on Artificial Immune Algorithm

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COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE 2016年第1期2016卷 1-13页

作者： Wang, Zhongbin Xu, Xihua Si, Lei Ji, Rui Liu, Xinhua Tan, Chao China Univ Min & Technol Sch Mech Engn Xuzhou 221116 Peoples R China China Univ Min & Technol Sch Informat & Elect Engn Xuzhou 221116 Peoples R China China Univ Min & Technol Xuyi Mine Equipment & Mat R&D Ctr Huaian 223001 Peoples R China

In order to accurately identify the dynamic health of shearer, reducing operating trouble and production accident of shearer and improving coal production efficiency further, a dynamic health assessment approach for shearer based on artificial immune algorithm was proposed. The key technologies such as system framework, selecting the indicators for shearer dynamic health assessment, and health assessment model were provided, and the flowchart of the proposed approach was designed. A simulation example, with an accuracy of 96%, based on the collected data from industrial production scene was provided. Furthermore, the comparison demonstrated that the proposed method exhibited higher classification accuracy than the classifiers based on back propagation-neural network (BP-NN) and support vector machine (SVM) methods. Finally, the proposed approach was applied in an engineering problem of shearer dynamic health assessment. The industrial application results showed that the paper research achievements could be used combining with shearer automation control system in fully mechanized coal face. The simulation and the application results indicated that the proposed method was feasible and outperforming others.

关键词： IMMUNOcomputerS computer algorithms COAL products FLOW charts computer simulation INDUSTRIAL productivity

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About Performance and Intellectuality of Supercomputer Modeling

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PROGRAMMING AND computer SOFTWARE 2016年第1期42卷 5-16页

作者： Il'in, V. P. Skopin, I. N. Russian Acad Sci Siberian Branch Inst Computat Math & Math Geophys Pr Akad Lavrenteva 6 Novosibirsk 630090 Russia Novosibirsk State Univ Ul Pirogova 2 Novosibirsk 630090 Russia

The concept of supercomputer technologies is traditionally related to mapping algorithms onto the computer architecture, which, taking into account the explosive growth of computational capabilities, implies the necessity for an adequate increase in the performance of algorithms and programs. At the same time, it is well known that the rate of building "computer muscles" far exceeds the rate of increasing the labor productivity of software developers, which becomes a bottleneck of computer evolution. The only way to deal with this problem is to automate the construction of models, algorithms, and programs, which directly implies the revolutionary change in the level of artificial intelligence in supercomputer technologies. In this paper, it is from this standpoint that main computational stages of mathematical modeling of various processes and phenomena are discussed, some aspects of high logical complexity of modern high-performance methods for solving "large" applied problems are pointed out, and some intelligent solutions for various modeling problems are proposed.

关键词： SUPERcomputerS computer science computer architecture computer algorithms ARTIFICIAL intelligence

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Delineating baseflow contribution areas for streams - A model and methods comparison

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JOURNAL OF CONTAMINANT HYDROLOGY 2016年第Dec.期195卷 11-22页

作者： Chow, Reynold Frind, Michael E. Frind, Emil O. Jones, Jon P. Sousa, Marcelo R. Rudolph, David L. Molson, John W. Nowak, Wolfgang Univ Tubingen Ctr Appl Geosci Holderlinstr 12 D-72074 Tubingen Germany Inst Modelling Hydraul & Environm Syst LS3 SimTec Pfaffenwaldring 5a D-70569 Stuttgart Germany Univ Waterloo Dept Earth & Environm Sci EIT 2051B200 Univ Ave West Waterloo ON N2L 3G1 Canada Univ Laval Dept Geol & Geol Engn Pavil Adrien Pouliot Room PLT 4709 Quebec City PQ G1V 0A6 Canada

This study addresses the delineation of areas that contribute baseflow to a stream reach, also known as stream capture zones. Such areas can be delineated using standard well capture zone delineation methods, with three important differences: (1) natural gradients are smaller compared to those produced by supply wells and are therefore subject to greater numerical errors, (2) stream discharge varies seasonally, and (3) stream discharge varies spatially. This study focuses on model-related uncertainties due to model characteristics, discretization schemes, delineation methods, and particle tracking algorithms. The methodology is applied to the Alder Creek watershed in southwestern Ontario. Four different model codes are compared: HydroGeoSphere, WATFLOW, MODFLOW, and FEFLOW. In addition, two delineation methods are compared: reverse particle tracking and reverse transport, where the latter considers local-scale parameter uncertainty by using a macrodispersion term to produce a capture probability plume. The results from this study indicate that different models can calibrate acceptably well to the same data and produce very similar distributions of hydraulic head, but can produce different capture zones. The stream capture zone is found to be highly sensitive to the particle tracking algorithm. It was also found that particle tracking by itself, if applied to complex systems such as the Alder Creek watershed, would require considerable subjective judgement in the delineation of stream capture zones. Reverse transport is an alternative and more reliable approach that provides probability intervals for the baseflow contribution areas, taking uncertainty into account. The two approaches can be used together to enhance the confidence in the final outcome. (C) 2016 The Authors. Published by Elsevier B.V.

关键词： STREAM measurements PARTICLE size determination DISCRETIZATION methods computer algorithms MATHEMATICAL models COMPARATIVE studies

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Consistent DOA estimation of heavily noisy gunshot signals using a microphone array

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IET RADAR SONAR AND NAVIGATION 2016年第9期10卷 1519-1527页

作者： Cardoso Ribeiro Borzino, Angelo Marcio Apolinario, Jose Antonio, Jr. Rodrigues de Campos, Marcello Luiz Mil Inst Engn IME Program Def Engn Rio De Janeiro Brazil Fed Univ Rio De Janeiro UFRJ Program Elect Engn Rio De Janeiro Brazil

Direction of arrival (DOA) estimation of a gunshot is an important issue in shooter localisation. As the distance between the firing position and the sensor array increases, the signal-to-noise ratio decreases, which degrades the accuracy of the DOA estimation. Strong noise may lead to false peaks in cross-correlation functions, which may result in spurious time difference of arrival (TDOA) estimates and hence spurious DOA estimates. The proposed gunshot DOA estimation algorithm [exhaustive search-searching consistent fundamental loop (ES-SCFL)] reduces this problem by combining the methods of standard estimation, ES, and SCFL. The ES-SCFL method looks for the best set of microphone pairs and the correct peaks of their cross-correlation functions, and uses the time lags of these peaks as the TDOA estimates for DOA estimation. The performance of the proposed algorithm is evaluated using real gunshot data recorded from a field experiment.

关键词： DIRECTION of arrival estimation (Signal processing) GUNFIRE detection systems SENSOR arrays computer algorithms ESTIMATION theory DATA recorders & recording

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An Integrated Method Based on PSO and EDA for the Max-Cut Problem

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COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE 2016年第1期2016卷 1-14页

作者： Lin, Geng Guan, Jian Minjiang Univ Dept Math Fuzhou 350108 Peoples R China Minjiang Univ Modern Educ Technol Ctr Fuzhou 350108 Peoples R China

The max-cut problem is NP-hard combinatorial optimization problem with many real world applications. In this paper, we propose an integrated method based on particle swarm optimization and estimation of distribution algorithm (PSO-EDA) for solving the max-cut problem. The integrated algorithm overcomes the shortcomings of particle swarm optimization and estimation of distribution algorithm. To enhance the performance of the PSO-EDA, a fast local search procedure is applied. In addition, a path relinking procedure is developed to intensify the search. To evaluate the performance of PSO-EDA, extensive experiments were carried out on two sets of benchmark instances with 800 to 20000 vertices from the literature. Computational results and comparisons show that PSO-EDA significantly outperforms the existing PSO-based and EDA-based algorithms for the max-cut problem. Compared with other best performing algorithms, PSO-EDA is able to find very competitive results in terms of solution quality.

关键词： PARTICLE swarm optimization DISTRIBUTION (Probability theory) NP-hard problems COMBINATORIAL optimization computer algorithms

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A Computationally Efficient Algorithm for Real-Time Tracking the Abrupt Stiffness Degradations of Structural Elements

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computer-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING 2016年第6期31卷 465-480页

作者： Lei, Ying Zhou, Huan Lai, Zhi-Lu Xiamen Univ Dept Civil Engn Xiamen Peoples R China Tongji Univ State Key Lab Disaster Reduct Civil Engn Shanghai 200092 Peoples R China Rice Univ Dept Civil & Environm Engn Houston TX USA

Real-time structural identification and damage detection are necessary for on-line structural damage detection and optimal structural vibration control during severe loadings. Frequently, structural damage can be reflected in the stiffness degradation of structural elements. In this article, a time-domain three-stage algorithm with computational efficiency is proposed for real-time tracking the onsets, locations, and extents of abrupt stiffness degradations of structural elements using measurements of structural acceleration responses. Structural dynamic parameters before damage are recursively estimated in stage I. Then, the time instants and possible locations of degraded structural elements are detected by tracking the errors between the measured data and the corresponding estimated values in stage II. Finally, the exact locations and extents of stiffness degradations of structural elements are determined by solving simple constrained optimization problems in stage III. Both numerical examples and an experimental test are used to validate the proposed algorithm for real-time tracking the abrupt stiffness degradations of structural elements in linear or nonlinear structures using measurements of structural acceleration responses polluted by noises.

关键词： STRUCTURAL dynamics STIFFNESS (Mechanics) NONLINEAR analysis REAL-time control computer algorithms

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Bilateral linear SURE-based SAR interferogram filter

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REMOTE SENSING LETTERS 2016年第12期7卷 1190-1198页

作者： Zhang, T. Lu, X. L. Qian, J. Hong, J. Li, Y. Chinese Acad Sci Inst Elect Key Lab Technol Geospatial Informat Proc & Applic Beijing 100190 Peoples R China Univ Chinese Acad Sci Sch Elect Elect & Commun Engn Beijing Peoples R China Univ Elect Sci & Technol China Sch Resources & Environm Chengdu Peoples R China Chinese Acad Sci Inst Elect Natl Key Lab Microwave Imaging Technol Beijing Peoples R China

This article proposes a new filter for interferometric synthetic aperture radar (InSAR) phase denoising. Traditional phase filters generally face two major challenges: to preserve texture details while reducing noise and to perform well in less time. The local linear model-based guided filter and Stein's unbiased risk estimate (SURE)-based filter, in contrast, have a high quality of edge-preserving performance and high efficiency owing to the feature of SURE formula and simplicity. Nevertheless, as these filters are designed for general digital images, they are not suitable for periodic and high-noise-level interferometric phase images. In this article, we modified the original filters by considering the coherence coefficient and features of the interferometric phase image, creating a new patch-based filter adapted to areas characterized by different coherences. Moreover, after obtaining the solution of a patch, considering the geometric closeness and the phasic similarity, we used a bilateral filter combining the pixels in the patch to obtain the estimate. Experimental results based on the simulated and real data confirmed the effectiveness of the proposed algorithm.

关键词： SYNTHETIC aperture radar SIGNAL denoising INTERFEROMETRY COHERENCE (Optics) DIFFERENTIAL operators computer algorithms

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