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A general communication performance evaluation model based on routing path decomposition

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Journal of zhejiang University-science C(Computers and Electronics) 2011年第7期12卷 561-573页

作者： Ai-lian CHENG 1,Yun PAN 1,2,Xiao-lang YAN 2,Ruo-hong HUAN 3 (1 department of information science and Electronic Engineering,zhejiang University,{4. 310027,China) (2 institute of VLSI Design,zhejiang University,{4. 310027,China) (3 College of Computer science and technology,zhejiang University of technology,{4. 310023,China) department of information science and Electronic Engineering Zhejiang University institute of VLSI Design Zhejiang University

The network-on-chip (NoC) architecture is a main factor affecting the system performance of complicated multi-processor systems-on-chips (MPSoCs).To evaluate the effects of the NoC architectures on communication efficiency,several kinds of techniques have been developed,including various simulators and analytical *** simulators are accurate but time consuming,especially in large space explorations of diverse network configurations;in contrast,the analytical models are fast and flexible,providing alternative methods for performance *** this paper,we propose a general analytical model to esti-mate the communication performance for arbitrary NoCs with wormhole routing and virtual channel flow *** resolve the inherent dependency of successive links occupied by one packet in wormhole routing,we propose the routing path decomposition approach to generating a series of ordered link *** we use the traditional queuing system to derive the fine-grained transmission latency for each network *** to our experiments,the proposed analytical model provides a good approximation of the average packet latency to the simulation results,and estimates the network throughput precisely under various NoC configurations and ***,the analytical model runs about 10 5 times faster than the cycle-accurate NoC *** applications of the model including bottleneck detection and virtual channel allocation are also presented.

关键词： Analytical model Communication performance Network-on-chip (NoC) Queuing system Routing path decom-position Virtual channel

Reconfigurable design and implementation of the MD6 Hash function

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The Journal of China Universities of Posts and Telecommunications 2010年第2期17卷 109-115页

作者： GAO Xian-wei department of Electronic and information Engineering,Beijing Electronic science and technology{4.,Beijing 100070,China [a] department of Electronic information Engineering Beijing Electronic Science technology institute Beijing 100070 China

Efficient reconfigurable field programmable gate array （FPGA） architectures for the MD6-224.256/384.512 Hash algorithm are proposed in this article. The basic iterative compact design requires 923 ALMs and achieves a throughput ranging from 225 Mbit/s to 394.Mbit/s at a maximum frequency of 198 MHz. The 32-step-urtrolled high-throughput design requires 7 090 ALMs and achieves a throughput ranges from 5 776 Mbit/s to 9 4.0 Mbit/s at a maximum frequency of 173 MHz. The simulation results show that high flexibility and efficient FPGA implementation of the MD6 Hash function is achieved.

关键词： SHA-3 MD6 reconfigurable iterative loop-unrolling

Generalized Self-Adaptive Genetic Algorithms

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International Journal of Minerals,Metallurgy and Materials 2000年第1期14卷 72-75页

作者： Bin Wu Xuyan Tu Jian Wu information Engineering School, University of science and technology Beijing, Beijing 100083, China department of information and Control Engineering, Southwest institute of technology, Mianyang 621002, China information Engineering School University of Science and Technology Beijing Beijing 100083 China department of information and Control Engineering Southwest Institute of Technology Mianyang 621002 China

In order to solve the problem between searching performance and convergence of genetic algorithms, a fast genetic algorithm generalized self-adaptive genetic algorithm (GSAGA) is presented. (1) Evenly distributed initial population is generated. (2) Superior individuals are not broken because of crossover and mutation operation for they are sent to subgeneration directly. (3) High quality im- migrants are introduced according to the condition of the population schema. (4. Crossover and mutation are operated on self-adaptation. Therefore, GSAGA solves the coordination problem between convergence and searching performance. In GSAGA, the searching per- formance and global convergence are greatly improved compared with many existing genetic algorithms. Through simulation, the val- idity of this modified genetic algorithm is proved.

关键词： generalized self-adaptive genetic algorithm initial population immigration fitness function

Ti(C, N) BASED CERAMETS AND ITS FRACTAL ANALYSIS OF FRACTURE SURFACES

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中国有色金属学会会刊：英文版 1996年第2期6卷 101-104页

作者： Liu Ning(department of Materials science and Engineering,Anhui institute of technology, Hefei 230069)Hu Zhenhua Cui Kun(Huazhong University of science and technology, Wuhan 4.0074. ANHUI INST TECHNOL DEPT MAT SCI & ENGNHEFEI 230069PEOPLES R CHINA HUAZHONG UNIV SCI & TECHNOL WUHAN 430074PEOPLES R CHINA

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Ｔｉ（Ｃ，Ｎ）ＢＡＳＥＤＣＥＲＡＭＥＴＳＡＮＤＩＴＳＦＲＡＣＴＡＬＡＮＡＬＹＳＩＳＯＦＦＲＡＣＴＵＲＥＳＵＲＦＡＣＥＳＬｉｕＮｉｎｇ（ＤｅｐａｒｔｍｅｎｔｏｆＭａｔｅｒｉａｌｓＳｃｉｅｎｃｅａｎｄＥｎｇｉｎｅｅｒｉｎｇ，Ａｎｈｕｉｉｎｓｔｉｔｕｔｅｏ...

关键词： Ti(C, N) based ceramets fracture surface fractal analysis

Robust integral sliding mode control for uncertain systems with multiple time delays

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控制理论与应用（英文版） 2010年第2期8卷 211-214页

作者： Xiaoyu ZHANG, Xiangna LI (department of Electronic and information Engineering, North China institute of science and{4., Beijing 101601, China) department of Electronic and information Engineering North China Institute of Science and Technology Beijing China

This paper proposes a robust integral sliding mode (RISM) manifold and the corresponding stabilization control law for uncertain systems with multiple time-varying time delays based on the techniques of linear matrix inequalities (LMI). The sufficient condition for the existence of the RISM manifold is given in terms of LMI, and then, the sliding mode control (SMC) law that can keep the system state on the RISM manifold from the initial time moment is developed. The efficiency and feasibility of the results are illustrated by a numerical example.

关键词： Robust control Integral sliding mode Time-delay systems LMI

Mining and Integrating Reliable Decision Rules for Imbalanced Cancer Gene Expression Data Sets

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Tsinghua science and technology 2012年第6期17卷 666-673页

作者： Hualong Yu 1 , Jun Ni 2 , Yuanyuan Dan 3 , Sen Xu 4.1. School of Computer science and Engineering, Jiangsu University of science and technology, Zhenjiang 212003, China 2. department of Radiology, Carver College of Medicine, The University of Iowa, Iowa City, IA 5224., USA 3. School of Biology and Chemical Engineering, Jiangsu University of science and technology, Zhenjiang 212003, China 4. School of information Engineering, Yancheng institute of technology, Yancheng 224.51, China School of Computer science and Engineering Jiangsu University of Science and Technology Zhenjiang 212003 China|c|

There have been many skewed cancer gene expression datasets in the post-genomic era. Extraction of differential expression genes or construction of decision rules using these skewed datasets by traditional algorithms will seriously underestimate the performance of the minority class, leading to inaccurate diagnosis in clinical trails. This paper presents a skewed gene selection algorithm that introduces a weighted metric into the gene selection procedure. The extracted genes are paired as decision rules to distinguish both classes, with these decision rules then integrated into an ensemble learning framework by majority voting to recognize test examples; thus avoiding tedious data normalization and classifier construction. The mining and integrating of a few reliable decision rules gave higher or at least comparable classification performance than many traditional class imbalance learning algorithms on four benchmark imbalanced cancer gene expression datasets.

关键词： cancer gene expression data class imbalance paired differential expression genes decision ruleensemble learning majority voting

Modified Holographic Ricci Dark Energy in Chameleon Brans–Dicke Cosmology and Its Thermodynamic Consequence

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Communications in Theoretical Physics 2015年第4期63卷 453-458页

作者： A.Jawad S.Chattopadhyay S.Bhattacharya A.Pasqua department of Mathematics,COMSATS institute of information technology Pailan College of Management and technology,Bengal Pailan Park department of Mathematics,Indian institute of Engineering science and technology department of Physics,University of Trieste abduljawad@ciitlahore.edu.pk jawadab181@*** surajcha@iucaa.ernet.in samarpita-sarbajna@yahoo.co.in toto.pasqua@*** department of Physics University of Trieste Via Valerio 2 34127 Trieste Italy

The objective of this paper is to discuss the Chameleon Brans–Dicke gravity with non-minimally matter coupling of scalar field. We take modified Holographic Ricci dark energy model in this gravity with its energy density in interaction with energy density of cold dark matter. We assume power-law ansatz for scale factor and scalar field to discuss potential as well as coupling functions in the evolving universe. These reconstructed functions are plotted versus scalar field and time for different values of power component of scale factor n. We observe that potential and coupling functions represent increasing behavior, in particular, consistent results for a specific value of n. Finally, we have examined validity of the generalized second law of thermodynamics and we have observed its validity for all values of n.

关键词： Chameleon Brans–Dicke gravity holographic dark energy scalar field

PARALLEL LATTICE BGK SIMULATION OF NATURAL CONVECTION IN A CAVITY

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Journal of Hydrodynamics 2005年第5期17卷 564-570页

作者： SHI Bao-chang LIU Hong-juan Parallel computing institute Huazhong University of Science and Technology Wuhan 430074 China department of Mathematics Huazhong University of Science and Technology Wuhan 430074 China

A Coupled Lattice Bhatnagar Gross Krook （CLBGK） model was proposed with a robust boundary scheme to model the Bossinesq incompressible flows. The LBGK method is a powerful approach, but is also computationally demanding. Therefore, parallel computing was implemented, and the codes were run on the parallel computer “Lenovo DeepComp 1800” with 24.nodes written in C＋＋ using the Message Passing Interface （MPI） library. Numerical results for natural convection in a cavity with the Rayleigh number （ Ra ） ranging from 10^6 to 4. 10^10 were presented, and found to agree well with the previous work. And with the increase of the resolution rate, the accuracy has been greatly improved. In addition, new models were set up by applying different equilibriums to the CLBGK model to simulate the same problem, which all yield sound results.

关键词： Lattice Bhatnagar Gross-Krook ( LB( K )model, Lattice Boltzmann Method (LBM), natural convection, parallel computing, high resolution

Lie bialgebras of generalized Witt type

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science China Mathematics 2006年第4期49卷 533-544页

作者： SONG Guang’ai & SU Yucai College of Mathematics and information science, Shandong institute of Business and technology, Yantai 264.05, China {4. of Mathematics, University of science and technology of China, Hefei 230026, China {4. of Mathematics, Shanghai Jiaotong University, Shanghai 20024., China College of Mathematics information science Shandong Institute of Business technology Yantai 264005 China department of Mathematics University of Science technology of China Hefei 230026 China department of Mathematics Shanghai Jiaotong University Shanghai 200240 China

In this paper, all Lie bialgebra structures on the Lie algebras of generalized Witt type are considered. It is proved that, for any Lie algebra W of generalized Witt type, all Lie bialgebras on W are the coboundary triangular Lie bialgebras. As a by-product, it is also proved that the first cohomology group H1(W, W(?)W) is trivial.

关键词： Lie bialgebras, Yang-Baxter equation, Lie algebra of generalized Witt type.