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检索条件"主题词=Iterative algorithm"

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HAMA: An Efficient Matrix Computation with the MapReduce Framework

HAMA: An Efficient Matrix Computation with the MapReduce Fra...

引用

IEEE International Conference on Cloud Computing Technology and Science (CloudCom)

作者： Sangwon Seo Edward J. Yoon Jaehong Kim Seongwook Jin Jin-Soo Kim Seungryoul Maeng Computer Science Division Korea Advanced Institute of Science and Technology South Korea User Service Development Center NHN Corporation South Korea School of Information and Communication Sungkyunkwan University South Korea

Various scientific computations have become so complex, and thus computation tools play an important role. In this paper, we explore the state-of-the-art framework providing high-level matrix computation primitives with MapReduce through the case study approach, and demonstrate these primitives with different computation engines to show the performance and scalability. We believe the opportunity for using MapReduce in scientific computation is even more promising than the success to date in the parallel systems literature.

关键词： Engines Sparse matrices Context Scalability iterative methods Google iterative algorithm

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A Fully Implicit Finite Difference Scheme for the Variable-Order Fractional Advection-Diffusion Equation with a Nonlinear Source Term

A Fully Implicit Finite Difference Scheme for the Variable-O...

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第二届国际计算科学与工程国际学术研讨会

作者： Wei-yuan Ma Ya-bin Shao Hai-dong Zhang School of Mathematics and Computer Science Northwest University for Nationalities

This paper proposes a finite difference scheme for variable-order nonlinear fractional diffusion equation, in which the nonlinear source term is considered implicit. A linear iterative algorithm for nonlinear scheme is introduced. The stability and convergence of the method are proved by discrete energy method. The convergence order of the method is O ( h). Some examples demonstrate that the method is efficient and reliable.

关键词： Variable-order nonlinear fractional diffusion equation Fully implicit difference scheme iterative algorithm Convergence Stability

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Mathematics Stencil of Finite Difference Scheme and its Application to Parabolic Equations

Mathematics Stencil of Finite Difference Scheme and its Appl...

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2011 4th IEEE International Conference on Computer Science and Information Technology(ICCSIT 2011)

作者： Yang Liu School of Science, Wuhan University of Technology, Wuhan,China Liang Zhang School of Science, Wuhan University of Technology, Wuhan,China

In this paper we investigate the parallel iterative algorithm of parabolic *** we introduce the concept of mathematics stencil to the Crank-Nicolson difference scheme of parabolic equation and the stencil elimination procedure,then we construct an iterative algorithm which has intrinsic *** convergence theory is discussed in ***,some numerical experiments are provided to show the efficiency of the new algorithm.

关键词： iterative algorithm stencil elimination method finite difference parallel parabolic equation

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An Efficient Method for Strain Fatigue Reliability Analysis

An Efficient Method for Strain Fatigue Reliability Analysis

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2011 9th International Conference on Reliability,Maintainability and Safety(第九届国际可靠性、维修性、安全性会议 ICRMS'2011)

作者： Qin Liu Zhili Sun Yunpeng Qian Dan Wang Department of Mechanical Engineering and Automation Northeastern University Shenyang 110004 China North China System Engineering Institute CNGC Beijing 100089 China

Based on Manson-Coffin Equation, a strain fatigue reliability model was built Because of high nonlinear degree, the first-order reliability method has convergence difficulty for the model. An efficient iterative algorithm for strain fatigue reliability is proposed by using automatic step adjustment method etc., and the numerical results show that the proposed method has a good convergence compared with FORM.

关键词： strain fatigue reliability iterative algorithm automatic step adjustment

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ECG signal base line filtering and power interference suppression method

ECG signal base line filtering and power interference suppre...

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International Conference on Information Science and Engineering (ICISE)

作者： Min Li Jiyin Zhao Weiwei Zhang Ruirui Zheng College of Electromechanical & Information Engineering Dalian Nationalities of University Dalian China

ECG signal is non-stationary, base line drift and power interference are the important factors influencing ECG signal extraction in high accuracy and directly determine the accuracy of ECG signal extraction and performance of analyzing and processing ECG signal. Adaptive filtering method can realize effective extraction of non-stationary signals without knowing a priori knowledge about signal and noise, this paper presents an adaptive noise cancellation system for ECG signal base line filtering and power interference suppression, constructs an iterative time LMS algorithm combining variable and fixed step size, which effectively solves the problems of filtering SNR and convergence rate. The experiment results show that this method improves 26.36dB in SNR, eliminates base line drift and power interference effectively, extracts ECG signal accurately and converges quickly, has important practical value in medical clinical diagnosis.

关键词： Least squares approximation Electrocardiography Noise cancellation Filtering Convergence Adaptive filters iterative algorithm

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Harvest-and-Jam:Improving Security for Wireless Energy Harvesting Cooperative Networks

Harvest-and-Jam:Improving Security for Wireless Energy Harve...

引用

IEEE Global Communications Conference

作者： Hong Xing Zheng Chu Zhiguo Ding Arumugam. Nallanathan Centre for Telecommunications Research King's College London School of EECE Newcastle University

ISBN: (纸本)9781479935130

The emerging radio signal enabled simultaneous wireless information and power transfer (SWIPT), has drawn significant attention. To achieve secrecy transmission by cooperative jamming, especially in the upcoming 5G networks with self-sustainable mobile base stations (BSs) and yet not to add extra power consumption, we propose in this paper a new relay protocol, i.e., harvest-and-jam (HJ), in a relay wiretap channel with an additional set of spare helpers. Specifically, in the first transmission phase, a single-antenna transmitter (Tx) transfers signals carrying both information and energy to a multi-antenna amplify-and-forward (AF) relay and a group of multi-antenna helpers;in the second transmission phase, the AF relay processes the information and forwards it to the receiver while each of the helpers generates an artificial noise (AN), the power of which is constrained by its previously harvested energy, to interfere with the eavesdropper. By optimizing the transmit beamforming matrix for the AF relay and the covariance matrix for the AN, we maximize the secrecy rate for the receiver subject to transmit power constraints for the AF relay and all helpers. The formulated problem is shown to be non-convex, for which we propose an iterative algorithm based on alternating optimization. Finally, the performance of the proposed scheme is evaluated by simulations as compared to other heuristic schemes.

关键词： amplify and forward communication antenna arrays array signal processing cooperative communication covariance matrices energy harvesting inductive power transmission iterative methods jamming optimisation power consumption radio receivers telecommunication power supplies telecommunication security transmitting antennas 5G networks artificial noise cooperative jamming covariance matrix eavesdropper harvest-and-jam iterative algorithm mobile base stations multiantenna amplify-and-forward relay optimization radio signal relay protocol relay wiretap channel second transmission phase secrecy rate secrecy transmission security simultaneous wireless information and power transfer single-antenna transmitter wireless energy harvesting cooperative networks Communication system security Receivers Relays Signal processing Signal processing algorithms Vectors Wireless communication

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Static output feedback controller design for fuzzy systems: an ILMI approach

Static output feedback controller design for fuzzy systems: ...

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Systems and Control in Aerospace and Astronautics, 2006. ISSCAA 2006. 1st International Symposium on

作者： Dan Huang Sing Kiong Nguang The Department of Electrical and Computer Engineering University of Auckland Auckland New Zealand

ISBN: (纸本)0780393953

This paper examines the problem of static output feedback control of a Takagi-Sugeno (TS) fuzzy system. The existence of a static output feedback control law is given in terms of the solvability of bilinear matrix inequalities. An iterative algorithm based on the linear matrix inequality is proposed to compute the static output feedback gain. To reduce the conservatism of the design, the structural information of the rule base is incorporated. A numerical example is used to illustrate the validity of the methods.

关键词： fuzzy systems iterative methods linear matrix inequalities state feedback ILMI approach Takagi-Sugeno fuzzy system bilinear matrix inequalities iterative algorithm linear matrix inequality static output feedback controller

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Stability analysis of SIRMs based type-2 fuzzy logic control systems

Stability analysis of SIRMs based type-2 fuzzy logic control...

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IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

作者： Chengdong Li Jianqiang Yi Tiechao Wang Institute of Automation Chinese Academy and Sciences Beijing China School of Information and Electrical Engineering Shandong Jianzhu University Jinan China

This paper tries to provide a stability analysis approach for the single input rule modules (SIRMs) based type-2 fuzzy logic control systems. First, in the neighbor of the equilibrium point, the closed-form input-output mappings of type-2 SIRMs (T2SIRMs) are explored, and the derivatives of T2SIRMs at the equilibrium point are computed. Then, how to compute the Jacobian matrix of the SIRMs based type-2 fuzzy logic control systems, which is a fundamental step for local stability analysis, is presented. At last, two examples on stabilization control of the TORA system and the inverted pendulum system are given. The results in both examples demonstrate that the stability analysis results agree completely with the control results.

关键词： Fuzzy logic Control systems Stability analysis Jacobian matrices Eigenvalues and eigenfunctions Engines iterative algorithm

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The Image Reconstruction Method of 3D Lung Ventilation by Biomedical Electrical Impedance Tomography

The Image Reconstruction Method of 3D Lung Ventilation by Bi...

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2017 IEEE 国际医学影像物理和工程大会暨第八届中国医学影像物理学术年会

作者： Xiaoyan Chen Fengze Han Xiaomin Chang Mengli Chu College of electronic information and automation Tianjin University of Science and Technology

Electrical impedance tomography(EIT) is a promising and potential non-destructive monitoring method. In this paper, a humanoid 3 D EIT thorax model with prior structural and electrical information is set up to get Jacobian matrix through solving the forward problem of EIT. With CG iterative algorithm and boundary voltages, these images during lung ventilation are reconstructed. To carry out the experimentation, a lab-made 3 D EIT system, including hardware platform and software kits, is developed well. By volunteer’ s imaging, the 3 D EIT model proposed accurate solutions of the forward solution and the platform collected boundary voltages with high precision, and the EIT images display lung inspiration and expiration process visually. Finally, a whole 3 D EIT thorax image is achieved. The experimental result verifies that the method is feasible and effective, and put forward EIT technology further to clinical application.

关键词： electrical impedance tomography 3D image reconstruction iterative algorithm lung ventilation

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Generating a novel sort algorithm using Reinforcement Programming

Generating a novel sort algorithm using Reinforcement Progra...

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Congress on Evolutionary Computation

作者： Spencer K. White Tony Martinez George Rudolph WA USA Computer Science Department Brigham Young University Provo UT USA Department of Mathematics and Computer Science Citadel Charleston SC USA

Reinforcement Programming (RP) is a new approach to automatically generating algorithms, that uses reinforcement learning techniques. This paper describes the RP approach and gives results of experiments using RP to generate a generalized, in-place, iterative sort algorithm. The RP approach improves on earlier results that that use genetic programming (GP). The resulting algorithm is a novel algorithm that is more efficient than comparable sorting routines. RP learns the sort in fewer iterations than GP and with fewer resources. Results establish interesting empirical bounds on learning the sort algorithm: A list of size 4 is sufficient to learn the generalized sort algorithm. The training set only requires one element and learning took less than 200,000 iterations. RP has also been used to generate three binary addition algorithms: a full adder, a binary incrementer, and a binary adder.

关键词： Training Sorting Heuristic algorithms Complexity theory iterative algorithm Arrays Adders

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