Search Results - (( using optimization methods algorithm ) OR ( parallel reduction methods algorithm ))
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1
Improved black-winged kite algorithm and finite element analysis for robot parallel gripper design
Published 2024“…The central composite design (CCD) method was used to design the FEA experiment and establish the BKA-BPNN regression prediction model. …”
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2
Design and analysis of high performance and low power matrix filling for DNA sequence alignment accelerator using ASIC design flow: article
Published 2009“…The scope of study is by using the matrix filling method which is in parallel implementation of the Smith-Waterman algorithm.…”
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3
Algorithm optimization and low cost bit-serial architecture design for integer-pixel and sub-pixel motion estimation in H.264/AVC / Mohammad Reza Hosseiny Fatemi
Published 2012“…To improve the overall performances of our designs, we propose several optimization techniques. By using a pixel truncation method and presenting a word length reduction technique, 68.75% of power consumption and the required time for processing of each search point are saved, where the latency, silicon area, and memory bandwidth are decreased as well. …”
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Design and analysis of high performance and low power matrix filling for DNA sequence allignment accelerator using ASIC design flow / Nurul Farhana Abd Razak
Published 2010“…The scope of study is by using the matrix filling method which is in parallel implementation of the SmithWaterman algorithm. …”
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5
Optimization of extractive Automatic Text Summarization using Decomposition-based Multi-objective Differential Evolution and parallelization
Published 2024“…It is built upon the foundation of Differential Evolution for Multi-objective optimization (DEMO) and the weighted sum method (WS), coupled with an innovative ATS repair operator scheme. …”
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6
Tool path generation of contour parallel based on ant colony optimisation
Published 2016“…An Ant Colony Optimisation (ACO) method is used to optimize the tool path length because of its capability to find the shortest tool path length. …”
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7
Dual search maximum power point algorithm based on mathematical analysis under partially-shaded conditions
Published 2016“…In the first group, the conventional techniques are combined with other techniques and the second group is based on the optimization methods. One of the main challenges of MPPT techniques under PSCs is ability of the algorithms to find the GMPP faster with minimal oscillation in power. …”
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8
Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method
Published 2024thesis::doctoral thesis -
9
Scheduling dynamic cellular manufacturing systems in the presence of cost uncertainty using heuristic method
Published 2016“…Then, design of experiments is used to examine the sensitivity of the parameters of each solving algorithm using Taguchi method. …”
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10
A basic study on hybrid systems for small race car to improve dynamic performance using lap time simulation
“…Therefore, the dynamic performance of the hybrid system was investigated by calculating the lap times on a given circuit using a quasi-steady-state method with low computational load and high prediction accuracy. …”
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A permutation parallel algorithm under exchange restriction with message passing interface
Published 2014“…The sequential algorithm is implemented to a parallel algorithm by integrating with Message Passing Interface (MPI) libraries by paralleling the starter sets generation task.The speedup and efficiency is the indicator tool for analyzing performance of this parallel algorithm.The results show reduction time computation of parallel algorithm among processors.…”
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12
Efficient Sequential and Parallel Routing Algorithms in Optical Multistage Interconnection Network
Published 2005“…The first approach is to develop an efficient sequential algorithm for the window method. Reduction of the execution time of the algorithm in sequential platform, led to a massive improvement of the algorithm speed. …”
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13
Parallel implementation of complexity reduction approach to fourth order approximation on 2D free space wave propagation.
Published 2008“…Application of parallel strategy to the method for 2D electromagnetic problem gain better saving in computational time to the parallel FDTD method by 85.2%. …”
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14
Fast Finite Difference Time Domain Algorithms for Solving Antenna Application Problem
Published 2008“…Results show that these new sequential and parallel algorithms run faster than the standard sequential and parallel FDTD algorithms. …”
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15
Parallel algorithms for numerical simulations of EHD ion-drag micropump on distributed parallel computing systems
Published 2014“…To implement the parallel algorithms a distributed parallel computing laboratory using easily available low cost computers is setup. …”
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16
Parallel Diagonally Implicit Runge-Kutta Methods For Solving Ordinary Differential Equations
Published 2009“…A few new methods are proposed by having sparsity patterns which enable the parallelization of methods. …”
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17
Finite element model for crack propagation using master-workers method
Published 2004“…This paper describes an algorithm for parallel assembling of the stiffness matrix in simulation of crack propagation in distributed memory environment using masterworkers method. …”
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Scaled parallel iterative method for finding real roots of nonlinear equations
Published 2021“…Through interval computation, the Weierstrass-like parallel iterative methods are known for their efficiency in finding polynomial zeros. …”
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Scaled parallel iterative method for finding real roots of nonlinear equations
Published 2021“…Through interval computation, the Weierstrass-like parallel iterative methods are known for their efficiency in finding polynomial zeros. …”
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New methods of partial transmit sequence for reducing the high peak-to-average-power ratio with low complexity in the ofdm and f-ofdm systems
Published 2019“…Based on the proposed methods, an improved PTS method that merges the best subblock partitioning scheme in the frequency domain and the best low-complexity algorithm in the time domain has been introduced to enhance the PAPR reduction performance better than the conventional PTS method with extremely low computational complexity level. …”
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