Search Results - (( simulation estimation method algorithm ) OR ( _ constructing method algorithm ))
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1
Optimal parameter estimation of permanent magnet synchronous motor by using Mothflame optimization algorithm / Abdolmajid Dejamkhooy and Sajjad Asefi
Published 2018“…In the next step, the parameter identification as an optimization problem is solved by Moth-flame optimization, which is a novel nature-inspired heuristic algorithm. Simulation results and their comparison with Particle Swarm Optimization based method show high performance and good ability of the proposed method in PMSM parameter estimation.…”
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2
Simulation-Based Power Estimation for High Throughput SHA-256 Design on Unfolding Transformation
Published 2022“…The purpose of this project is to reduce dynamic thermal power dissipation of SHA-256 unfolding transformation. State encoding is a method used in reducing power design strategies that have been proposed to lower the dynamic power dissipation of the algorithm. …”
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Proceeding -
3
Reproducing kernel Hilbert space method for cox proportional hazard model
Published 2016“…Then, we apply the kernel method to the survival data. Finally, we propose an algorithm of minimization of the loss function in the general Cox model. …”
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4
Non-regularized reconstruction of magnetic moment distribution of magnetic nanoparticles using barnacles mating optimizer
Published 2023“…A reconstruction comparison among the BMO, Particle Swarm (PSO), Genetic Algorithm (GA), Sine Cosine Algorithm (SCA) optimizers, and NNLS method is presented. …”
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Speed sensorless control for PMSM drives using Extended Kalman Filter
Published 2021“…Therefore, this project proposes sensorless control using an EKF. This method provides an optional estimation algorithm for the non-linear system that can produce a fast and accurate estimation of state variables. …”
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Parameter estimation and outlier detection for some types of circular model / Siti Zanariah binti Satari
Published 2015“…In this study, we propose an alternative method of constructing a confidence interval based from the distribution of the estimated value of error concentration parameter obtained from the Fisher information matrix. …”
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7
Comparing three methods of handling multicollinearity using simulation approach
Published 2006“…The algorithm is described and for the purpose of comparing the three methods, simulated data sets where the number of cases was less than the number of observations were used. …”
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8
Reliability assessment of power system generation adequacy with wind power using population-based intelligent search methods
Published 2017“…The reliability assessment of the adequacy of the generating system is normally calculated by using either analytical or simulation methods. The Monte Carlo simulation (MCS) method enables an accurate evaluation of reliability indices. …”
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9
A Comparative Study On Some Methods For Handling Multicollinearity Problems
Published 2006“…The algorithm is described and for the purpose of comparing the three methods, simulated data sets where the number of cases were less than the number of observations used. …”
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10
Artificial Robust Control of Robot Arm: Design a Novel SISO Backstepping Adaptive Lyapunov Based Variable Structure Control.
Published 2011“…The performance of the SISO VSC which controller coefficient is on-line tuned by fuzzy backstepping algorithm (FBSAVSC) is validated through comparison with VSC and proposed method. …”
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Integrated applications of building information modeling in project cost management: a systematic review
Published 2023“…The integrated approaches for cost control include integration with genetic algorithms, Monte Carlo simulation, lean construction, integrated project delivery, neural network and value engineering. …”
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A comparative study on some methods for handling multicollinearity problems
Published 2006“…The algorithm is described and for the purpose of comparing the three methods, simulated data sets where the number of cases were less than the number of observations used. …”
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Data filtering of 5-axis inertial measurement unit using kalman filter
Published 2013“…In this thesis, I had made an entire required analysis, design circuit, output and input data measurement and other important parameters to develop the data filtering of 5-axis IMU that can be implemented by using Kalman filter method. Simulation with constructed data has been done to verify the algorithm. …”
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Undergraduates Project Papers -
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New CFAR algorithm and circuit development for radar receiver
Published 2020“…All these algorithms are simulated using MATLAB and applied them to three different clutter models that represent different environment cases. …”
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15
Load shedding scheme for islanded distribution network with flexible load selection and power changes / Ja’far Saifeddin Abdelhafiz Jallad
Published 2018“…The simulation results confirmed that the proposed hybrid algorithm, in the context of the planning load shedding scheme, is able to stabilize the voltage and frequency of an islanded distribution network with the maximum remaining load while improving the voltage buses. …”
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16
A novel single parent mating technique in genetic algorithm for discrete - time system identification
Published 2024“…A typical rule is that the model must have a good balance between parsimony and accuracy in estimating a dynamic system. As a popular search method, genetic algorithm (GA) is used for selecting a model structure. …”
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Prediction of pore size of ultrafiltration membrane by using artificial neural network (ANN)
Published 2008“…Feed-forward Backpropagation (FFBP) network was constructed in MATLAB version 7.2 environment by using Levenberg-Marquardt algorithm (trainlm) training method. …”
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Development of Finite Element Code for Non-Linear Analysis of Interlocking Mortarless Masonry System
Published 2006“…This study aims at investigating numerically the structural response of interlocking masonry system using finite element method. The developed algorithm used in the FE analysis includes appropriate mathematical models to simulate the main features of mortarless masonry system. …”
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19
Reduced rank technique for joint channel estimation and joint data detection in TD-SCDMA systems
Published 2013“…The reduced rank technique is used to control the complexity of channel estimation. The performance of all the schemes are simulated and analyzed by using MatLab 7.9 simulator.…”
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20
Time-Uncertainty Analysis by Using Simulation in Project Scheduling Networks
Published 1999“…In this study, Monte Carlo simulation as a tool of risk analysis was used. The merge event bias as one of the essential problems associated with PERT is discussed, along with models and approaches developed by other researchers, namely, Probabilistic Network Evaluation Technique (PNET algorithm), Modified PNET, Back-Forward Uncertainly Estimation procedure (BFUE) and concept based on the robust reliability idea. …”
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