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2012 National Conference on Information Technology and Computer Science

作者： Yong Li Institute for International Economics Henan university Kaifeng City,China

In this paper,with the actual data of a lecture contest,prevailing method's defects to remove a maximum score and a minimum score,average of the rest to determine the ranking of the contestants are *** of three methods of evaluation that prevailing method,calculating raters' weight once and iterative calculation their weight,we design a quantitative method to reduce the judges' weight who have larger deviation,increase their weights who have smaller one,so that the final result is more *** addition,the computer programs of the three evaluation methods are also developed to facilitate the practical application.

关键词： rater weight iterative algorithm computer program

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Optimal Battery Discharging Strategy for a Range Extended Fuel Cell City Bus

Optimal Battery Discharging Strategy for a Range Extended Fu...

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FISITA 2012 World Automotive Congress--Volume 3:Future Automotive Powertrains

作者： Liangfei Xu Minggao Ouyang Jianqiu Li Fuyuan Yang Languang Lu State Key Lab of Automotive Safety and Energy Tsinghua University

This paper proposes an optimal energy management strategy for a range extended fuel cell city bus,which is powered by a Proton Exchange Membrane(PEM) fuel cell system and a Li-ion battery *** at minimizing the daily operating cost,the strategy is deduced based on the dynamic programming(DP) algorithm for a global optimized *** strategy is compared with several other strategies in simulating model,*** Depleting and Charge Sustaining(CDCS) and two-stage linear blended *** operating cost with the linear blended strategy is the lower than other two-stage linear blended *** operating cost with the CDCS strategy is 1.3%less than that of the linear blended *** operating cost with the DP strategy is 10%less than that of the linear blended *** hydrogen cost occupies more than 95%of the entire operating *** minimize the hydrogen consumption is the key to reduce the operating *** the DP strategy,the efficiency of fuel cell system is58.7%compared to an average level of 53%with other *** battery efficiency influent the daily operating cost *** order to apply the optimal strategy into a vehicle,the optimal State of Charge(SOC) trajectory curve is fitted with a nonlinear exponential *** iterative algorithm based on this formula is deduced,and can be applied to an embedded digital control unit.

关键词： Range extended fuel cell electric vehicle Battery Energy management Dynamic programing iterative algorithm

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Novel fingerprint segmentation with Entropy-Li MCET using Log-normal distribution

Novel fingerprint segmentation with Entropy-Li MCET using Lo...

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IET Conference on Image Processing (IPR 2012)

作者： Duaa H. AlSaeed Ahmed Bouridane Ali ElZaart Rachid Sammouda King Saud University Riyadh Saudi Arabia School of Computing Engineering and Information Sciences Northumbria University UK Beirut Arab University Beirut Lebanon

ISBN: (纸本)9781622762675

Fingerprint recognition is an important biometric application. This process consists of several phases including fingerprint segmentation. This paper proposes a new method for fingerprint segmentation using a modified iterative Minimum Cross Entropy Thresholding (MCET) method. The main idea is to model fingerprint images as a mixture of two Log-normal distributions. The proposed method was applied on bi-modal fingerprint images and promising experimental results were obtained. Evaluation of the resulting segmented fingerprint images shows that the proposed method yields better estimation of the optimal threshold than does the same MCET method with Gamma and Gaussian distributions.

关键词： Image Thresholding Minimum Cross Entropy Log-normal Distribution iterative algorithm Fingerprint images Fingerprint recognition Gaussian distribution Phase Cross Entropy

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An iterative method for updating gyroscopic systems based on measured modal data

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APPLIED MATHEMATICS AND COMPUTATION 2011年第7期218卷 3753-3762页

作者： Yuan, Yongxin Jiangsu Univ Sci & Technol Sch Math & Phys Zhenjiang 212003 Peoples R China

An efficient iterative method for updating the mass, gyroscopic and stiffness matrices simultaneously using a few of complex measured modal data is developed. By using the proposed iterative method, the unique symmetric solution can be obtained within finite iteration steps in the absence of roundoff errors by choosing a special kind of initial matrices. Numerical results show that the presented method can be used to update finite element models to get better agreement between analytical and experimental modal parameters. (C) 2011 Elsevier Inc. All rights reserved.

关键词： Model updating iterative algorithm Gyroscopic system Partially prescribed spectral data Optimal approximation

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Positivity-preserving H_∞ model reduction for positive systems

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AUTOMATICA 2011年第7期47卷 1504-1511页

作者： Li, Ping Lam, James Wang, Zidong Date, Paresh Univ Hong Kong Dept Mech Engn Hong Kong Hong Kong Peoples R China Brunel Univ Dept Informat Syst & Comp Uxbridge UB8 3PH Middx England Brunel Univ Dept Math Sci Uxbridge UB8 3PH Middx England

This paper is concerned with the model reduction of positive systems. For a given stable positive system, our attention is focused on the construction of a reduced-order model in such a way that the positivity of the original system is preserved and the error system is stable with a prescribed H-infinity performance. Based upon a system augmentation approach, a novel characterization on the stability with H-infinity performance of the error system is first obtained in terms of linear matrix inequality (LMI). Then, a necessary and sufficient condition for the existence of a desired reduced-order model is derived accordingly. Furthermore, iterative LMI approaches with primal and dual forms are developed to solve the positivity-preserving H-infinity model reduction problem. Finally, a compartmental network is provided to show the effectiveness of the proposed techniques. (C) 2011 Elsevier Ltd. All rights reserved.

关键词： H-infinity performance iterative algorithm Linear matrix inequality Model reduction Positive systems

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Graph convergence for the H(.,.)-accretive operator in Banach spaces with an application

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APPLIED MATHEMATICS AND COMPUTATION 2011年第22期217卷 9053-9061页

作者： Li, Xi Huang, Nan-jing Sichuan Univ Dept Math Chengdu 610064 Sichuan Peoples R China

In this paper, a concept of graph convergence concerned with the H(.,.)-accretive operator is introduced in Banach spaces and some equivalence theorems between of graph-convergence and resolvent operator convergence for the H(.,.)-accretive operator sequence are proved. As an application, a perturbed algorithm for solving a class of variational inclusions involving the H(.,.)-accretive operator is constructed. Under some suitable conditions, the existence of the solution for the variational inclusions and the convergence of iterative sequence generated by the perturbed algorithm are also given. (C) 2011 Elsevier Inc. All rights reserved.

关键词： H(.,.)-accretive operator Graph convergence Resolvent operator Variational inclusion iterative algorithm Convergence

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Approach Guidance with Double-Line-of-Sight-Measuring Navigation Constraint for Autonomous Rendezvous

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JOURNAL OF GUIDANCE CONTROL AND DYNAMICS 2011年第3期34卷 678-687页

作者： Chen, Tong Xu, Shijie Beijing Univ Aeronaut & Astronaut Sch Astronaut Dept Guidance Nav & Control Beijing 100191 Peoples R China

Based on double-line-of-sight measuring relative navigation method, an approach guidance law with the triangle-measuring constraint is presented for autonomous rendezvous. The observability of double-line-of-sight measuring relative navigation system is analyzed using the state estimation error covariance matrix. The triangle-measuring navigation constraint is described as a keep-out cone. The approach guidance law is designed via artificial potential function method. It is ensured that there is a high region of potential in the keep-out cone and the potential still has a unique minimum at the goal position. Numerical simulations are undertaken to verify the guidance method proposed. The results indicate that the control impulses of the potential function guidance ensure convergence of the chase spacecraft to reach the goal position without violating the navigation keep-out zone.

关键词： Numerical Simulation Guidance Laws Rendezvous Guidance Orbital Rendezvous Extended Kalman Filter Target Spacecraft Path Constrained Rendezvous Numerical Integration iterative algorithm Inertial Navigation

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Cyclic algorithms for split feasibility problems in Hilbert spaces

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NONLINEAR ANALYSIS-THEORY METHODS & APPLICATIONS 2011年第12期74卷 4105-4111页

作者： Wang, Fenghui Xu, Hong-Kun Natl Sun Yat Sen Univ Dept Appl Math Kaohsiung 80424 Taiwan Luoyang Normal Univ Dept Math Luoyang 471022 Peoples R China King Saud Univ Coll Sci Dept Math Riyadh 11451 Saudi Arabia

The split common fixed point problem (SCFPP) is equivalently converted to a common fixed point problem of a finite family of class-T operators. This enables us to introduce new cyclic algorithms to solve the SCFPP and... 详细信息

关键词： Convex feasibility Split feasibility Split common fixed point Nonexpansive mapping Class-T operator iterative algorithm

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Robust linear transceivers for downlink multi-user multiple-input multiple-output systems using second-order cone programming optimisation

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IET COMMUNICATIONS 2011年第17期5卷 2586-2593页

作者： Li, H. Xie, S. Northeastern Univ Coll Informat Sci & Engn Shenyang 110006 Liaoning Peoples R China Inst Infocomm Res Singapore 138632 Singapore

This study addresses the joint robust linear transceiver design problems for a downlink multi-user multiple-input multiple-output (MIMO) antenna system in the presence of imperfect channel state information (CSI). The uncertainty in the channel is characteried by a norm-bounded region, and two robust optimal design problems are considered. One is aimed at minimising the total transmitter power subject to users' mean square error (MSE) constraints in the presence of channel uncertainty, the other is to minimise the worst-case sum-mean square error (sum-MSE) under power constraints for all admissible uncertainties. For these two problems, the authors propose two iterative algorithms based on second-order cone programming (SOCP) formulations, which can be efficiently solved and have less computational complexity than their semi-definite programming (SDP) counterparts. Simulation results also illustrate that the proposed robust design approaches can significantly reduce the computational complexity while achieving almost the same performance as the robust SDP methods.

关键词： convex programming norm-bounded region sum-MSE Optimisation techniques robust linear transceiver wireless channels worst-case sum-mean square error iterative methods semidefinite programming robust optimal design problem iterative algorithm mean square error methods Single antennas robust SDP method radio transceivers channel uncertainty downlink multiuser multiple-input multiple-output antenna system Interpolation and function approximation (numerical analysis) imperfect channel state information computational complexity Radio links and equipment second-order cone programming optimisation antennas power constraint MIMO communication

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An iterative Method for the Least-Squares Minimum-Norm Symmetric Solution

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CMES-COMPUTER MODELING IN ENGINEERING & SCIENCES 2011年第3-4期77卷 173-182页

作者： Wang, Minghui Wei, Musheng Hu, Shanrui Qingdao Univ Sci & Technol Dept Math Qingdao 266061 Peoples R China Shanghai Normal Univ Dept Math Shanghai 200234 Peoples R China

The mapping from the symmetric solution set to its independent parameter space is studied and an iterative method is proposed for the least-squares minimum-norm symmetric solution of AXB = E. Numerical results are rep... 详细信息

关键词： Matrix equation symmetric matrix Least squares problem minimum norm iterative algorithm

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