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New Hardware Algorithms and Designs for Montgomery Modular Inverse Computation in Galois Fields GF(p) and GF(2n)
Published 2002“…We also propose a scalable and unified architecture for a Montgomery inverse hardware that operates in both GF(p) and GF(2n) fields. We adjust and modify a GF(2n) Montgomery inverse algorithm to benefit from multi-bit shifting hardware features making it very similar to the proposed best design of GF(p) inversion hardware. …”
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masterThesis -
22
Real-Time Implementation of High Performance Control Scheme for Grid-Tied PV System for Power Quality Enhancement Based on MPPC-SVM Optimized by PSO Algorithm
Published 2018“…In addition, it can be implemented in a low-cost control platform due to its simplicity. …”
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Design of adaptive arrays based on element position perturbations
Published 1993“…The main advantage of using this technique over the other commonly used methods is that the amplitudes and phases of the array elements can be used mainly to steer the main beam towards the desired signal. …”
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24
Topics in graph algorithms
Published 2003“…Being fixed-parameter tractable, we develop an algorithm that solves it in time O(5k + n2) where k is the input parameter. …”
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masterThesis -
25
Nonlinear analysis of shell structures using image processing and machine learning
Published 2023“…The proposed approach can be significantly more efficient than training a machine learning algorithm using the raw numerical data. To evaluate the proposed method, two different structures are assessed where the training data is created using nonlinear finite element analysis. …”
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Attacking ElGamal based cryptographic algorithms using Pollard's rho algorithm
Published 2005“…To test the security of the algorithms we use a famous attack algorithm called Pollard's rho algorithm that works in the domain of natural integers. …”
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Automatic Video Summarization Using HEVC and CNN Features
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doctoralThesis -
29
EFFICIENT ALGORITHM FOR WEINBERGER ARRAY FOLDING
Published 2020“…Weinberger arrays (WAs) are an alternative to progammable logic arrays (PLAs) as a method of implementing combinatorial logic circuits. Column folding is a technique generally employed in PLAs to save the silicon area by implementing the circuit of two column in the area of one. …”
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A New Hamiltonian Semi-Analytical Approach to Vibration Analysis of Piezoelectric Multi-Layered Plates
Published 2024“…The whole piezoelectric multilayered plate’s dynamic stiffness is then built, from which its circular frequencies are computed with the help of the Wittrick-Williams algorithm. A detailed discussion is provided on the implementation aspects, followed by some numerical examples to assess the robustness, accuracy and effectiveness of the proposed method. …”
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32
Artificial neural network algorithms. (c1999)
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masterThesis -
33
A kernelization algorithm for d-Hitting Set
Published 2010“…For 3-Hitting Set, an arbitrary instance is reduced into an equivalent one that contains at most 5k2+k elements. This kernelization is an improvement over previously known methods that guarantee cubic-order kernels. …”
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34
A New Parallel Genetic Algorithm Model
Published 2020“…This paper presents an implementation of three Genetic Algorithm models for solving a reliability optimization problem for a redundancy system with several failure modes, a modification on a parallel a genetic algorithm model and a new parallel genetic algorithm model. …”
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Scalable parallel algorithms for difficult combinatorial problems
Published 2004“…To accomplish this, an efficient sequential algorithm and two forms of parallel algorithms are implemented. …”
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conferenceObject -
37
Hardware design and VLSI implementation of a byte-wise CRCgenerator chip
Published 1995“…The algorithm is based on the work presented by Perez, Wismer and Becker (1983) in which a software implementation was proposed. …”
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Parallel Algorithms for Distinguishing Nondeterministic Finite State Machines
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doctoralThesis -
40
Allocating data to distributed-memory multiprocessors by genetic algorithms
Published 2016“…These are a sequential hybrid GA, a coarse-grain GA and a fine-grain GA. The last two are based on models of natural evolution that are suitable for parallel implementation; they have been implemented on a hypercube and a Connection Machine. …”
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