Search Results - (( using decomposition based algorithm ) OR ( basic optimization based algorithm ))
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Image watermarking optimization algorithms in transform domains and feature regions
Published 2012“…As a result,it will first introduce the theories about the feature extraction and the basic principles on how feature points can act as locating resynchronization between watermark insertion and extraction discussed in detail.Subsequently,it will present several content-based watermark embedding and extraction methods which can be directly implemented based on the synchronization scheme.Further detailed watermarking schemes which combine feature regions extraction with counter propagation neural network-based watermarks synapses memorization are then presented.The performance of watermarking schemes based on framework of feature point shows the following advantages:a)Good imperceptibility. …”
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Solving power system state estimation using orthogonal decomposition algorithm / Tey Siew Kian
Published 2009“…Power system state estimation is the heart of data processing activities of modern electric utility energy control center. By using real time measurements and historical data base, power system state estimator detects errors in measurements and the data base; and calculates an optimal estimate of the system state vector of the bus voltage magnitudes and angles. …”
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A new cryptographic algorithm based on decomposition problem in elliptic curve cryptography / Hilyati Hanina Zazali
Published 2012“…This approach presents better platform in finite field E as compared to the original works using the braid groups. The second algorithm deals with the use of Decomposition Problem in encryption scheme for ECC. …”
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Identifying Students' Summary Writing Strategies Using Summary Sentence Decomposition Algorithm
Published 2011“…We first analyzed experts' written summaries, extracted the strategies used in the summaries, formulated a set of heuristics rules to define the strategies and finally transformed the rules using position-based method into summary sentence decomposition algorithm (SSDA). …”
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Optimal power flow based on fuzzy linear programming and modified Jaya algorithms
Published 2017“…In the proposed novel QOJaya algorithm, an intelligence strategy, namely, quasi-oppositional based learning (QOBL) is incorporated into the basic Jaya algorithm to enhance its convergence speed and solution optimality. …”
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Fuzzy adaptive teaching learning-based optimization for solving unconstrained numerical optimization problems
Published 2022“…The performance of the fuzzy adaptive teaching learning-based optimization is evaluated against other metaheuristic algorithms including basic teaching learning-based optimization on 23 unconstrained global test functions. …”
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Path planning algorithm for a car-like robot based on cell decomposition method
Published 2013“…This project proposes an obstacle avoiding path planning algorithm based on cell decomposition method for a car-like robot. …”
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A Summary Sentence Decomposition Algorithm for Summarizing Strategies Identification
Published 2009“…A summary sentence decomposition algorithm is then developed based on the heuristic rules. …”
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An Innovative Signal Detection Algorithm in Facilitating the Cognitive Radio Functionality for Wireless Regional Area Network Using Singular Value Decomposition
Published 2011“…In order to use the algorithm effectively, users need to balance between detection accuracy and execution time. …”
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Signal detection algorithm for cognitive radio using singular value decomposition
Published 2011“…This paper highlights an algorithm for detecting the presence of wireless signal using the Singular Value Decomposition (SVD) technique.We simulated the algorithm to detect common digital signals in wireless communication to test the performance of the signal detector.The SVD-based signal detector was found to be more efficient in detecting a signal without knowing the properties of the transmitted signal.The performance of the algorithm is better compared to the favorable energy detection.The algorithm is suitable for blind spectrum sensing where the properties of the signal to be detected are unknown.This is also the advantage of the algorithm since any signal would interfere and subsequently affect the quality of service (QoS) of the IEEE 802.22 connection.Furthermore, the algorithm performed better in the low signalto-noise ratio (SNR) environment.…”
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A hybrid algorithm based on artificial bee colony and artificial rabbits optimization for solving economic dispatch problem
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An algorithm for positive solution of boundary value problems of nonlinear fractional differential equations by Adomian decomposition method
Published 2016“…In this paper, an algorithm based on a new modification, developed by Duan and Rach, for the Adomian decomposition method (ADM) is generalized to find positive solutions for boundary value problems involving nonlinear fractional ordinary differential equations. …”
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Voting algorithms for large scale fault-tolerant systems
Published 2011“…To solve this problem and gain benefits of this algorithm, we employed parallel algorithm technique and by using optimal number of processors, we could propose optimal algorithms known as Parallel Average Voting and Parallel Weighted Average Voting which both have optimal time complexity and less calculation cost. …”
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A new domain decomposition FDTD technique for simulating electromagnetic penetration into buildings
Published 2005“…The second technique based on hybridizing the Yee algorithm with the higher order FDTD "M3d24" scheme. …”
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An enhanced swap sequence-based particle swarm optimization algorithm to solve TSP
Published 2021“…Several variants of PSO have been proposed for solving discrete optimization problems like TSP. Among them, the basic algorithm is the Swap Sequence based PSO (SSPSO), however, it does not perform well in providing high quality solutions. …”
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Performance of MIMO space-time coded system and training based channel estimation for MIMO-OFDM system
Published 2006“…For doing so, the performance analysis between QR decomposition and LS algorithm in terms of MSE (Mean Square Error) and BER (Bit Error Rate) has been done using simulations software. …”
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Model of Improved a Kernel Fast Learning Network Based on Intrusion Detection System
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Evaluating the effectiveness of integrated benders decomposition algorithm and epsilon constraint method for multi-objective facility location problem under demand uncertainty
Published 2017“…This paper describes an algorithm based on Benders Decomposition Algorithm (BDA) which tries to find Pareto solutions. …”
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