Search Results - parallel reduction ((factor algorithm) OR (generation algorithm))
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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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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“…Secondly, two novel algorithms, Grouping Complex iterations algorithm (G-C-PTS), and Gray Code Phase Factor algorithm (Gray-PF-PTS) have been developed to reduce the computational complexity for finding the optimum phase rotation factors in the time domain part of the PTS structure. …”
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3
Tool path generation of contour parallel based on ant colony optimisation
Published 2016“…In today’s competitive market of manufacturing industry, shorter machining time is one of important factor for reducing the manufacturer’s cost. This paper presents the minimisation of machining time of computer numerical control (CNC) by eliminating the uncut region of sharp corner based on contour parallel milling method. …”
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Harmonic reduction in three-phase parallel connected inverter
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Parallelization of speech compression based algorithm based on human auditory system on multicore system
Published 2012“…Finally, the performance of the developed parallel algorithm was evaluated using Perceptual Evaluation of Speech Quality (PESQ) and parallel execution time. …”
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Improved black-winged kite algorithm and finite element analysis for robot parallel gripper design
Published 2024“…The optimized design achieves a 33.12% reduction in maximum equivalent stress, a 1.47% decrease in total mass, and a 0.16% reduction in maximum total deformation. …”
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A high speed and well-structured partial product generator for parallel multiplier
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Scaled parallel iterative method for finding real roots of nonlinear equations
Published 2021“…However, these schemes are highly dependent on the midpoints of each interval in generating successive intervals. In this study, we propose a scaling function on some Weierstrass-like parallel iterative methods such that the procedures are less dependent on the generated midpoints, hence allowing a more efficient search for the zeros while reducing the width of the intervals. …”
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Scaled parallel iterative method for finding real roots of nonlinear equations
Published 2021“…However, these schemes are highly dependent on the midpoints of each interval in generating successive intervals. In this study, we propose a scaling function on some Weierstrass-like parallel iterative methods such that the procedures are less dependent on the generated midpoints, hence allowing a more efficient search for the zeros while reducing the width of the intervals. …”
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Optimization of extractive Automatic Text Summarization using Decomposition-based Multi-objective Differential Evolution and parallelization
Published 2024“…The central challenge in Automatic Text Summarization (ATS) is efficiently generating machine-generated text summaries through optimization algorithms, a critical component for systems dealing with textual information processing. …”
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12
Deterministic Automatic Test Pattern Generation for Built-In Self Test System
Published 2006“…To illustrate that, the DATPG algorithm for digital combinational circuit using VHDL language is designed to generate the test patterns. …”
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A modified artificial neural network (ANN) algorithm to control shunt active power filter (SAPF) for current harmonics reduction
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Twofold Integer Programming Model for Improving Rough Set Classification Accuracy in Data Mining.
Published 2005“…The first task is to introduce a new rough model for minimum reduct selection and default rules generation, which is known as a Twofold Integer Programming (TIP). …”
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Fruit-Fly Based Searching Algorithm For Cooperative Swarming Robotic System
Published 2013“…A number of benchmark function processes were conducted to assess the performance of proposed FOA (Fly Optimisation Algorithm).…”
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Hyper-heuristic approaches for data stream-based iIntrusion detection in the Internet of Things
Published 2022“…The experimental results showed that the accuracy of the algorithm over the NSL-KDD dataset was 99.72%, with a memory reduction of 10%. …”
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Bitwise-based Routing Algorithms in Optical Multistage Interconnection Network
Published 2007“…This reduction is very considerable because the execution time of routing algorithms is very important to route the messages in the networks. …”
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Effect of contour interval on minimization of tool path length in pocket milling process
Published 2020“…To remove this uncut area, an additional tool path length is generated. So, this paper is carried out to study the consequence of path interval upon the existence of uncut region and the impact to the path length of contour parallel. …”
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Investigating negative capacitance shunt circuit for broadband vibration damping and utilizing ACO for optimization
Published 2016“…The effects of two different shunt circuits on the system are studied; series and parallel resistor-negative capacitor (R-C). The governing equation of motion for a PZT patch shunt attached on a thin plate is obtained using Lagrange’s equation, and ACO algorithm is utilized to obtain the optimum spatial coordinate of the PZT patch and resistor values of the shunt circuit for the different frequency regions, targeting for maximum energy reduction of the vibrating thin plate.…”
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Mitigation of Mach Zehnder modulator nonlinearity in millimeter wave radio over fiber system using digital predistortion
Published 2017“…The coefficient computation is performed using recursive prediction error method (RPEM) algorithm which shows a dominant spectral regrowth reduction and in-band distortion reduction with reduced complexity compared to the commonly used slow converging, least mean square algorithm. …”
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