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The division free parallel algorithm for finding determinant
Published 2013“…A cross multiplication method for determinant was generalized for any size of square matrices using a new permutation strategy.The permutation is generated based on starter sets.However, via permutation, the time execution of sequential algorithm became longer.Thus, in order to reduce the computation time, a parallel strategy was developed which is suited for master and slave paradigm of the high performance computer.A parallel algorithm is integrated with message passing interface.The numerical results showed that the parallel methods computed the determinants faster than the sequential counterparts particularly when the tasks were equally allocated.…”
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Parallel method using MPI for solving large systems of delay differential equations
Published 2012“…The method produces two new approximations in a single integration step. …”
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Parallel block methods for solving higher order ordinary differential equations directly
Published 1999“…A new parallel algorithm for solving systems of ODEs using variable step size and order is also developed. …”
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Thesis -
4
Parallel strategy for starter sets to list all permutation based on cycling restriction
Published 2011“…permutations.The sequential algorithm is developed and parallelized for parallel computing by integrating with Message Passing Interface (MPI) libraries. …”
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Enhanced Storage Mechanism for Secured Parallel Network File System
Published 2018“…The main aim of this dissertation is to study how parallel network file system and storage appliances are integrated to storage computing. …”
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Enhancing security performance with parallel crypto operations in SSL bulk data transfer phase
Published 2007“…Based on the performance simulations, the new parallel algorithm gained speedup of 1.74 with 85% efficiency over the current (sequential) algorithm.…”
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Improving security performance with parallel crypto operations in SSL bulk data transfer
Published 2009“…Based on the performance simulations, the new parallel algorithm gained speedup of 1.74 with 85% efficiency over the sequential (current) algorithm.…”
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Partitioning techniques and their parallelization for stiff system of ordinary differential equations
Published 2007“…Parallelizing the right algorithm in the partitioning code will give a better perfonnance with shorter execution times. …”
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10
WCDMA teletraffic performance improvement via power resource optimization using distributed parallel genetic algorithm
Published 2023“…Beam forming techniques have been proposed to increase the spectral efficiency of the wireless channel. In this work, a new microcontroller board was designed and developed with Genetic Algorithm (GA) embedded on board. …”
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Development of optimization Alghorithm for uncertain non-linear dynamical system
Published 2004“…The new algorithms also boast faster contractions. Both new algorithms performed better than DISOPE. …”
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Monograph -
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Block Multistep Methods for Solving Ordinary Differential Equations
Published 2006“…Finally, this thesis deals with parallel numerical algorithms for the solution of systems of ODEs. …”
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13
Design and implementation of multimedia digital matrix system
Published 2005“…Due to the issues of signal integrity in high-speed digital design, a new adaptive channel synchronization algorithm has been developed. …”
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Load-Balancing Models for Scheduling Divisible Load on Large Scale Data Grids
Published 2009“…In addition, the integration of the proposed DLT model with Simulated Annealing (SA) algorithm has been also developed. …”
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15
Adaptive resource allocation for reliable performance in heterogeneous distributed systems.
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Book Section -
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Developed method of FPGA-based fuzzy logic controller design with the aid of conventional PID algorithm
Published 2009“…The method used to design a PID Fuzzy Logic controller is to design it as Proportional– derivative Fuzzy Logic controller (PDFLC) and Proportional –integral fuzzy logic controller (PIFLC) connected in parallel through a summer. …”
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An integrated priority-based cell attenuation model for dynamic cell sizing
Published 2012“…A new, robust integrated priority-based cell attenuation model for dynamic cell sizing is proposed and simulated using real mobile traffic data.The proposed model is an integration of two main components; the modified virtual community – parallel genetic algorithm (VC-PGA) cell priority selection module and the evolving fuzzy neural network (EFuNN) mobile traffic prediction module.The VC-PGA module controls the number of cell attenuations by ordering the priority for the attenuation of all cells based on the level of mobile level of mobile traffic within each cell.The EFuNN module predicts the traffic volume of a particular cell by extracting and inserting meaningful rules through incremental, supervised real-time learning.The EFuNN module is placed in each cell and the output, the predicted mobile traffic volume of the particular cell, is sent to local and virtual community servers in the VC-PGA module.The VC-PGA module then assigns priorities for the size attenuation of all cells within the network, based on the predicted mobile traffic levels from the EFuNN module at each cell.The performance of the proposed module was evaluated on five adjacent cells in Selangor, Malaysia. …”
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Agro-ento bioinformation: towards the edge of reality
Published 2002“…Bioinformation, in brief, comprises biology, information algorithms, information technology, and communication protocols. …”
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Process Planning Optimization In Reconfigurable Manufacturing Systems
Published 2008“…The five (5) AADTs include; a variant of the simulated annealing algorithm that implements heuristic knowledge at critical decision points, two (2) cooperative search schemes based on a “loose hybridization” of the Boltzmann Machine algorithm with (i) simulated annealing, and (ii) genetic algorithm search techniques, and two (2) modified genetic algorithms. …”
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Unified GPU Technique to Boost Confidentiality, Integrity and Trim Data Loss in Big Data Transmission
Published 2020“…Moreover, multiple executions of distinct security algorithms for maintaining confidentiality and integrity reduce throughput and add a large number of additional bits as security overhead that hampers the robustness against data loss. …”
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