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Estimation of the reliability, speed and cost parameters of the different type of flip-flops

Estimation of the reliability, speed and cost parameters of ...

引用

IEEE international workshop on Intelligent Data Acquisition and Advanced Computing Systems: Technology and applications

作者： I. Vasiltsov B. Mandzij A. Bench Institute of Computer Informational Technology Ternopil Academy of National Economy Ternopil Ukraine National University Lvivska Politechnika Lviv Ukraine

An approach for estimating the three most important design parameters of computational devices has been proposed. On the basis of the proposed approach, a developer can estimate the reliability, speed and cost parameters with a "global optimization criterion". This allows him to choose the optimal structure of the designed computational devices in the early design stage. As an example, different types of flip-flops have been investigated. Their global optimization criterion parameters have been estimated. An analysis of the investigation's results shows that the values of these parameters depend on the specific realization structure of the devices, and the input transition as well. The proposed approach can be applied using evolutionary multi-objective optimization algorithms.

关键词： Flip-flops Design optimization Logic Genetic programming Manufacturing processes Circuits Very large scale integration Maintenance Cost function Joining processes

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A Improved Fuzzy Controller for Air-Condition with Frequency Change

A Improved Fuzzy Controller for Air-Condition with Frequency...

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international workshop on Intelligent Systems and applications, ISA

作者： Zipeng Zhang Shuqing Wang Suyi Liu Hubei University of Technology Wuhan China Wuhan University of Science and Engineering Wuhan China

The environment of room temperature is complicated and it is difficult to get precise mathematics model for the control of air-condition with frequency change. It is difficult using conventional PED or general fuzzy control way to control air-condition to get good control performance. A new fuzzy controller is designed to control air-condition based on fuzzy reasoning system and genetic algorithm in this paper. Control parameters can be optimized via genetic algorithm quickly in control. In order to improve training speed and overcome the shortcoming of local optimization way, the designed genetic algorithm is improved based on the control system. Simulating experiment shows that the designed controller has better controlling effect than other conventional PH) or fuzzy controller and GAs can optimize fuzzy reasoning parameters effectively.

关键词： Fuzzy control Frequency Fuzzy reasoning Control systems Genetic algorithms Algorithm design and analysis Design optimization Mathematics Mathematical model Temperature control

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Energy optimization in a HW/SW tool: design of low power architecture system

Energy optimization in a HW/SW tool: design of low power arc...

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IEEE international workshop on System-on-Chip for Real-Time applications

作者： P. Guitton-Ouhamou C. Belleudy M. Auguin Lab. d'Informatique Signaux et Systemes de Sophia-Antipolis France

Minimizing power consumption in system on chip is a crucial task. So the parameter of consumption has to be introduced in HW/SW tool. This paper describes how our HW/SW codesign tool, CODEF, is extended to have power consumption and optimization ability. Some strategies of consumption optimizations are presented. First, we present how to build the library composed of consumption models of hardware and software modules (that take into account frequency and supply voltage). Then, we describe the algorithm that computes the peak power and the energy. To reduce the energy, we describe a strategy during allocation step to minimize energy. In this way, the partitioning algorithm has been modified and we present some results of architectures optimization with some important gains of 50%.

关键词： Design optimization Computer architecture Software libraries Hardware Processor scheduling Partitioning algorithms Clocks Energy consumption System-on-a-chip Frequency

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optimization of S-Boxes by Evolving

Optimization of S-Boxes by Evolving

引用

international workshop on Intelligent Systems and applications, ISA

作者： Zhongping Qin Qi Yang Li Zhai Sch. of Software Eng. Huazhong Univ. of Sci & Tech Wuhan China Sch. of Comput. Wuhan Univ. Wuhan China

The Substitution Box (S-Box for short) is the core component of a block cipher. The strength of a block cipher basically depends on the cryptography property of the S-Box it employs. Designers use "nonlinearity", "autocorrelation" and "difference" as the S-Box designing criteria. In this paper, we focus on optimizing S-Boxes by two heuristic methods - Genetic Algorithm and Simulated Annealing. Quite a lot of 8×8 S-Boxes with a joint feature value (Nonlinearity, Autocorrelation) = (102, 80) can be gotten just by our GA or SA with a steady probability. Both our methods are comparable to J. Clark's hybrid method (Simulated Annealing combined with Hill Climbing).

关键词： Boolean functions Cryptography Simulated annealing Autocorrelation Computational modeling Genetic algorithms Hamming weight Hamming distance Software engineering optimization methods

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An Improved Artificial Bee Colony Algorithm

An Improved Artificial Bee Colony Algorithm

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international workshop on Intelligent Systems and applications, ISA

作者： Fei Kang Junjie Li Haojin Li Zhenyue Ma Qing Xu Faculty of Infrastructure Engineering Dalian University of Technology Dalian China School of Hydraulic Engineering Dalian University of Technology Dalian China

ISBN: (纸本)9781424458721;9781424458745

Artificial bee colony (ABC) algorithm is one of the most recently proposed swarm intelligence algorithms for global optimization. It performs well in most cases; however, there still exist some problems it cannot solve very well. This paper presents a novel hybrid Hooke Jeeves ABC (HJABC) algorithm with intensification search based on the Hooke Jeeves pattern search and the ABC. The main purpose is to demonstrate how the standard ABC can be improved by incorporating a hybridization strategy. The proposed algorithm is tested on 7 benchmark functions including a wide range of dimensions. Numerical results show that the new algorithm is promising in terms of convergence speed, success rate and solution accuracy.

关键词： Particle swarm optimization Artificial intelligence Benchmark testing Convergence of numerical methods Performance analysis

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Combined based on minimum distance orthogonal matching pursuit method for support recovery improvement in super-resolution compressed sensing

Combined based on minimum distance orthogonal matching pursu...

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international workshop on Compressed Sensing Theory and its applications to Radar, Sonar and Remote Sensing (CoSeRa)

作者： Vinh Nguyen Xuan Klaus Hartmann Wolfgang Weihs Otmar Loffeld Center for Sensorsystems University of Siegen Siegen Germany

ISBN: (纸本)9781509029211

This paper introduces a new scenario, named combined based on minimum distance orthogonal matching pursuit (CMD-OMP) which utilizes the strength of two available recovery methods at different ranges of minimum distance. Particularly, OMP with a global optimization and non-negative constrained least square algorithm (a MATLAB function implemented as OMP with a modification step) will be studied comparatively and then interacted together to improve signal support recovery performance in super-resolution compressed sensing.

关键词： Matching pursuit algorithms Signal resolution Sensors Spatial resolution Compressed sensing optimization

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Optimized datapath design by evolutionary computation

Optimized datapath design by evolutionary computation

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IEEE international workshop on System-on-Chip for Real-Time applications

作者： S.G. Araujo A.C. Mesquita A.C.P. Pedroza Electrical Engineering Department UFRJ Brazil

High-level design entry tools offer a nice framework to deal with today's complex systems while shortening the design cycle. Nevertheless, such tools provide poor quality results both in area usage and timing performance issues. This paper presents a methodology to design optimized datapaths based on evolutionary techniques and HLS tools. VHDL descriptions of the system are automatically generated by Genetic Programming. To improve the design of the structural quality of such descriptions, a two-stage multi-objective optimization algorithm is used to ensure both desired functionality and area constraints.

关键词： Design optimization Evolutionary computation Genetic programming High level synthesis Hardware design languages Design methodology Space exploration Genetic algorithms Circuits Timing

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Particle swarm optimization for designing a micro strip patch antenna for Ku band applications

Particle swarm optimization for designing a micro strip patc...

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international Conference and workshop on Computing and Communication (IEMCON)

作者： Manpreet Singh Amandeep Singh Sappal Department of Electronics and Communication Engineering Bhai Gurdas Institue of Engineering & Technology Sangrur India Department of Electronics and Communication Engineering Punjabi University Patiala India

Due to their small size, microstrip patch antennas are widely used in the design of portable wireless communication equipments. Designing a patch antenna with reduced size, for a given band is major area of research these days. optimization algorithms are widely explored by researchers for calculating the parameters of a patch antenna for a given resonance frequency. In this paper, a microstrip patch antenna has been designed for Ku band. The results have been compared with the earlier published work.

关键词： Patch antennas Microstrip antennas Manganese Microstrip Mathematical model Particle swarm optimization

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multilevel Load Balancing Algorithm for Domestic Heterogeneous Manycore Architecture

Multilevel Load Balancing Algorithm for Domestic Heterogeneo...

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international Symposium on Parallel and Distributed Processing with applications, ISPA

作者： Yi Ma Xin Chen Heng Guo Fang Li Xin Liu Tsinghua University Beijing China National Research Center of Parallel Computer Engineering and Technology Beijing China

ISBN: (数字)9798331509712

ISBN: (纸本)9798331509729

Load imbalance often occurs in particle-in-cell simulations on parallel computing, which seriously affects the efficiency of applications. Due to the characteristics of multilevel parallelism and communication asymmetry of compute nodes in domestic heterogeneous manycore architecture, the impact of load imbalance is more prominent. The paper proposes a multilevel load-balancing algorithm for domestic heterogeneous manycore architecture. Inside the supernode, computing tasks are redivided based on manycore acceleration. Between the supernodes, a greedy-based communication mode is designed to minimize communication across supernodes. The experimental results show that the proposed algorithm achieves almost ideal dynamic load balance, and improves the performance of the evaporation module in two-phase flow simulation by 10.9-19.7 times for the 50 million-sized grid.

关键词： Heuristic algorithms Computational modeling Computer architecture Parallel processing Load management Nonhomogeneous media Supercomputers Evaporation optimization Load modeling

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international Conference Assisi on Computational Science and Its applications - ICCSA 2004

International Conference Assisi on Computational Science and...

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international Conference on Computational Science and its applications, ICCSA 2004

ISBN: (纸本)3540220577

The proceedings contain 107 papers. The special focus in this conference is on workshop on Computational Geometry and applications (CGA 04) and Track on Computational Geometry. The topics include: Geometric graphs realization as coin graphs;disc covering problem with application to digital halftoning;on local transformations in plane geometric graphs embedded on small grids;reducing the time complexity of minkowski-sum based similarity calculations by using geometric inequalities;a practical algorithm for approximating shortest weighted path between a pair of points on polyhedral surface;plane-sweep algorithm of o(nlogn) for the inclusion hierarchy among circles;shortest paths for disc obstacles;improving the global continuity of the natural neighbor interpolation;combinatories and triangulations;approximations for two decomposition-based geometric optimization problems;computing largest empty slabs;a new non-plainness island hierarchy;quadratic-time linear-space algorithms for generating orthogonal polygons with a given number of vertices;partitioning orthogonal polygons by extension of all edges incident to reflex vertices;on the time complexity of rectangular covering problems in the discrete plane;approximating smallest enclosing balls;geometry applied to designing spatial structures;a robust and fast algorithm for computing exact and approximate shortest visiting routes;automated model generation system based on freeform deformation and genetic algorithm;speculative parallelization of a randomized incremental convex hull algorithm;the employment of regular triangulation for constrained delaunay triangulation;the anchored voronoi diagram;implementation of the voronoi-delaunay method for analysis of intermolecular voids;approximation of the boat-sail voronoi diagram and its application and incremental adaptive loop subdivision.

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