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2017 International Conference on Advances in Materials,Machinery,Electrical Engineering(AMMEE 2017)

作者： Tianjie Xia Ying Li School of Mechanical & Power Engineer East China University of Science and Technology

ISBN: (纸本)9781510842915

In order to solve the problem that the stepping motor in the manipulator is frequently stopped and the conventional index algorithm can not make full use of the output torque under the high speed heavy load,the two-stage exponential acceleration algorithm for stepper motor is *** on the critical load curve, the two-stage exponential type and the conventional exponential acceleration scheme are analyzed and compared, which proves that the former has better *** critical load curve fitting is carried out by Matlab software, and the best point are selected by w-t equation. The two-stage exponential acceleration iterative algorithm is designed to reduce the dispersion of the speed-increasing process and improve the smoothness of the stepping motor acceleration ***, the experimental results show that the motor speed curve under the two-stage exponential control is in accordance with the theoretical curve, and the feasibility of the method is proved.

关键词： Stepping Motor PLC Critical Load Curve Two-Stage Exponential Acceleration iterative algorithm

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Robust Multi-Weight Vector Projection Support Vector Machine

Robust Multi-Weight Vector Projection Support Vector Machine

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2017 2nd International Conference on Computational Modeling, Simulation and Applied Mathematics（CMSAM 2017)

作者： Heng-hao ZHAO Qiao-lin YE College of Information Science and Technology Nanjing Forestry University Jangsu Key Laboratory of Image and Video Understanding for Social Safety Nanjing University of Science and Technology

Recently proposed Multi-weight vector projection support vector machines(MVSVM) is an outstanding algorithm for binary classification. However, it measuring distance in the objective function by squared L2-norm, which is easy to find that the impact of outliers is exaggerated. To alleviate this, we propose an effective algorithm, termed as Robust MVSVM based on the L1-norm distance(L1-MVSVM). The distance in the objective of L1-MVSVM is measured by L1-norm. Besides, we design a powerful iterative algorithm to solve the optimal problem of L1-norm, whose convergence is theoretically ensured. Finally, the effectiveness of L1-MVSVM has been verified through extensive experiments.

关键词： MVSVM L1-norm iterative algorithm Robustness to outliers

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The Frontier of SGD and its Variants in Machine Learning

The Frontier of SGD and its Variants in Machine Learning

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2017 2nd International Conference on Mechatronics and Information Technology(ICMIT 2017)

作者： Juan Du New Research and Development Center of Hisense

Numerical optimization is a classical field in operation research and computer science, which has been widely used in the areas such as physics and economics. Although, optimization algorithms have achieved great success for plenty of applications, handling the big data in the best fashion possible is a very inspiring and demanding challenge in the artificial intelligence era. Stochastic gradient descent(SGD) is pretty simple but surprisingly, highly effective in machine learning models, such as support vector machine(SVM) and deep neural network(DNN). Theoretically, the performance of SGD for convex optimization is well understood. But, for the non-convex setting, which is very common for the machine learning problems, to obtain the theoretical guarantee for SGD and its variants is still a standing problem. In the paper, we do a survey about the SGD and its variants such as Momentum, ADAM and SVRG, differentiate their algorithms and applications and present some recent breakthrough and open problems.

关键词： SGD Stochsatic algorithms optimization iterative algorithm machine learning

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A recursive algorithm on estimating the parameters in multilevel models subject to the measurement errors on the covariates

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JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION 2016年第2期86卷 252-261页

作者： Golalizadeh, Mousa Mahmoudnejad, Hashem Tarbiat Modares Univ Dept Stat Fac Math Sci Tehran Iran

Multilevel models are popular models for analysing data inheriting a hierarchical structure. They are used in diverse fields including social, medical, economical and biological sciences. These models encounter some problems in estimating the parameters, if there are measurement errors in either explanatory or response variables. A common approach to tackle this obstacle is to consider the pseudo variables and follow some simulation methods to estimate the parameters. We propose a new algorithm constituting the iterative and simulation extrapolation steps in turn. To evaluate the proposed algorithm, various simulation studies are also conducted. Moreover, we investigate the implementation of our method on a real data set concerning the cost and expenditure of the households in Tehran city in the year 2007.

关键词： measurement error multilevel models simulation extrapolation iterative algorithm cost and expenditure

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New Reconstruction algorithm for Absolute Shape Calibration in Two-flat Test 8

New Reconstruction Algorithm for Absolute Shape Calibration ...

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8th International Symposium on Advanced Optical Manufacturing and Testing Technology (AOMATT) - Optical Test, Measurement Technology, and Equipment

作者： He, Yuhang Li, Qiang Wan, Daoming Chai, Liqun Chengdu Fine Opt Engn Res Ctr Keyuan Sect 1Gaopeng Rd Chengdu 610091 Peoples R China

ISBN: (纸本)9781628419191

A new reconstruction algorithm for absolute shape calibration in two-flat test is proposed. The shift-rotation method is applied to absolute shape calibration in two-flat test. Relying on the decomposition of the reconstructed shapes into rotationally asymmetric and symmetric components, an iteration algorithm is presented to reconstruct the rotationally asymmetric components, and Zernike polynomial fitting algorithm is used to calculate rotationally symmetric components. Compared to the traditional algorithms, the proposed algorithm has the characteristics of considerable accuracy and less computational effort. A simulation experiment proves the validity of the presented algorithm.

关键词： iterative algorithm Absolute test Zernike polynomial fitting Shape reconstruction Measurement accuracy

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Consistent Estimate of Innovations Model

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IFAC-PapersOnLine 2016年第13期49卷 129-134页

作者： Ikeda, Kenji Tokushima University Tokushima770-8506 Japan

This paper proposes a numerical solution of the consistent estimates of Kalman gain and the covariance of the innovations process in the innovations model. The estimates are given as solutions of some BMI problem, so an iterative algorithm for solving the problem will be required. An algorithm for a class of BMI problems in which the objective function is non-increasing is applied for solving this problem. Explicit formulations of the estimation error in PO-MOESP method are also derived and shown to be consistent so that the consistent estimate of all the parameters in the innovations model are obtained. © 2016

关键词： Problem solving Identification (control systems) iterative methods Kalman filters Nonlinear programming Numerical methods Consistency Estimation errors Explicit formulation Innovations process iterative algorithm Numerical solution Objective functions Sub space methods

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GPU Acceleration for Phase Retrieval for Electromagnetic Interference Source Image 7

GPU Acceleration for Phase Retrieval for Electromagnetic Int...

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Asia-Pacific International Symposium on Electromagnetic Compatibility (APEMC)

作者： Zhu, Yanju Xie, Shuguo Beihang Univ Sch Elect & Informat Engn Beijing Peoples R China

ISBN: (纸本)9781467394949

In the process of electromagnetic interference sources imaging using parabolic reflection, the existing equipment can only collect the electromagnetic intensity information but it is difficult to directly obtain the phase information. In this paper, we have implemented the combination of the gerchberg-saxton algorithm and the transport-of-intensity equation algorithm for wideband phase retrieval on a NVIDIA's graphics processing unit(CPU) with MATLAB to achieve speedup in computation. The efficiency of CPU based implementation is measured and compared with the algorithm on CPU. The results with CPU show performance enhancement over a factor of 9.07 compared with CPU for an image of size 2048x2048 sampling points.

关键词： transport of intensity equation graphic processing unit phase retrieval iterative algorithm electromagnetic interference sources

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Towards a Restrained Use of Non-equivocation for Achieving iterative Approximate Byzantine Consensus 30

Towards a Restrained Use of Non-equivocation for Achieving I...

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30th IEEE International Parallel and Distributed Processing Symposium (IPDPS)

作者： Li, Chuanyou Hurfin, Michel Wang, Yun Yu, Lei INRIA Rennes France Southeast Univ Nanjing Jiangsu Peoples R China Wuhan Univ Wuhan Peoples R China

ISBN: (纸本)9781509021406

We consider the approximate consensus problem in a partially connected network of n nodes where at most f nodes may suffer from Byzantine faults. We study under which conditions this problem can be solved using an iterative algorithm. A Byzantine node can equivocate: it may provide different values to its neighbors. To restrict the possibilities of equivocation, the 3-partial multicast primitive is considered. When a (correct or faulty) node uses this communication primitive, it provides necessarily the same value to the two identified receivers. Based on this communication primitive, a novel condition called f-resilient is proposed and proved to be necessary and sufficient to solve the approximate Byzantine consensus problem in a synchronous network. This condition takes into account two different communication primitives: unicast and 3-partial multicast. It expresses a trade-off between the two known approaches that make the problem solvable (increasing the number of neighbors or/and increasing the power of the communication primitives). The condition f-resilient does not require to eliminate all the possibilities of equivocation. Furthermore, it can be satisfied when there is just a majority of correct nodes. The relationships between the condition f-resilient and the condition h-disjoint (proposed by Alexander Jaffe et al. in 2012 to solve another problem, namely exact Byzantine consensus) are investigated. Two preliminary conclusions are obtained. When a network does not satisfy h-disjoint, it also does not satisfy f-resilient. But when a network satisfies h-disjoint, f-resilient is not necessarily satisfied. Finally, the condition is extended to cope with asynchronous networks.

关键词： Approximate Consensus Byzantine failure Equivocation Partial multicast iterative algorithm

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Laser Absorption Sensor for Gas Temperature, Pressure and Concentration Measurement Based on Wavelength Modulation Spectroscopy 7

Laser Absorption Sensor for Gas Temperature, Pressure and Co...

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7th International Conference on Mechanical and Aerospace Engineering (ICMAE)

作者： Qu, Dongsheng Hong, Yanji State Key Lab Laser Prop & Applicat Equipment Aca Beijing Peoples R China

ISBN: (纸本)9781467388290

A laser absorption sensor for temperature, pressure and concentration is developed. Combined the simulation with experiment, an iterative algorithm is built to infer gas temperature, pressure and concentration based on laser absorption spectroscopy. Selection principles of target species and spectral lines are analyzed and two H2O spectral lines are selected. With the selected spectral lines, the sensor is validated in the static cells. The measured results show that the measured gas pressure, temperature and H2O concentration are consistent with the predicted values and the most relative errors are 5%, 6% and 8%, respectively. It is proved that the sensor can achieve accurate measurement of multiple flow parameters along line of sight (LOS) in uniform environments.

关键词： wavelength modulation spectroscopy iterative algorithm uniform flow sensor

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Extended General Variational Inequalities and General Wiener-Hopf Equations 7th

Extended General Variational Inequalities and General Wiener...

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7th International Conference on Fuzzy Information and Engineering (ICFIE) / 1st International Conference of Operations Research and Management (ICORM)

作者： Wang, Xiao-Min Zhang, Yan-Yan Li, Na Fan, Xiu-Yan Northeastern Univ Qinhuangdao Sch Math & Stat Qinhuangdao 066004 Peoples R China Northeastern Univ Sch Sci Shenyang 110004 Peoples R China

ISBN: (纸本)9783319191058;9783319191041

In this paper, we show the extended general variational inequality problems are equivalent to solving the general Wiener-Hopf equations. By using the equivalence, we establish a general iterative algorithm for finding the solution of extended general variational inequalities. We also discuss the convergence criteria for the algorithm. Our results extend and improve the corresponding results announced by many others.

关键词： Variational inequalities Wiener-Hopf equations iterative algorithm

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