Search Results - (( java application system algorithm ) OR ( parallel conventional methods algorithm ))
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Parallel R-point implicit block method for solving higher order ordinary differential equations directly
Published 2004“…The accuracy of the parallel block and the conventional 1-point methods are comparable particularly when finer step sizes are used.…”
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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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Thesis -
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Paralell R-point implicit block method for solving higher order ordinary differential equations directly
Published 2004“…The accuracy of the parallel block and the conventional 1-point methods are comparable particularly when finer step sizes are used.…”
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Provider independent cryptographic tools
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Integrated OBF-NN models for extrapolation enhancement in conventional neural networks for nonlinear systems
Published 2011“…Results show improved extrapolation capability of the proposed method in comparison to conventional MLP NN, and opens up a promising area for further research and analysis.…”
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Real-time algorithmic music composition application.
Published 2022“…In addition, the system also utilises JavaFx and jFugue for its graphical user interface and music programming respectively. …”
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Final Year Project / Dissertation / Thesis -
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Implementation of High Speed Large Integer Multiplication Algorithm on Contemporary Architecture
Published 2018“…We started with a preliminary design of a multiplier run with typical NTT module that perform computation in parallel-in-serial-out manner before we moved into design with radix-R FNT modules that are able to compute in parallel-in-parallel-out manner for better performance. …”
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Final Year Project / Dissertation / Thesis -
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OPTIMIZATION OF HYBRID-FUZZY CONTROLLER FOR SERVOMOTOR CONTROL USING A MODIFIED GENETIC ALGORITHM
Published 2011“…In this thesis, a new optimization GA-based algorithm that emanates from modification of conventional GA to reduce the iterations number and the duration time, namely, semi-parallel operation genetic algorithm (SPOGA) is proposed. …”
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Route Optimization System
Published 2005“…After much research into the many algorithms available, and considering some, including Genetic Algorithm (GA), the author selected Dijkstra's Algorithm (DA). …”
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Minimizing machining airtime motion with an ant colony algorithm
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Mismatch losses minimization in photovoltaic arrays by arranging modules applying a genetic algorithm
Published 2014“…This work introduces a new method that employs genetic algorithm (GA) to find an arrangement of modules in an array which minimizes mismatch losses more effectively than conventional methods do. …”
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Optimization of blood vessel detection in retina images using multithreading and native code for portable devices
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Application of parallel ensemble Monte Carlo technique in charge dynamics simulation
Published 2008“…The use of Parallel Virtual Machine (PVM) standards when running the parallel algorithm of the ensemble MC simulation been proposed Some results of the development are also presented in this paper.…”
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Developed method of FPGA-based fuzzy logic controller design with the aid of conventional PID algorithm
Published 2009“…This paper proposes developed method to design a digital fuzzy logic controller with the aid of conventional Proportional – integral – derivative (PID) controller using field programmable gate array (FPGA). …”
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Audio Streaming System Using Real-Time Transport Protocol Based on Java Media Framework
Published 2004“…Java Media Framework library and the RTP protocol for audio transmission were used as development tools.The developed system designed in this thesis together with experimental results proved that the system could be implemented successfully. …”
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Online system identification development based on recursive weighted least square neural networks of nonlinear hammerstein and wiener models.
Published 2022“…The best model of the developed method outperformed the conventional NARX and NARMAX methods best model by 3.26% in terms of NRMSE goodness of fit.…”
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