Search Results - (( using factor method algorithm ) OR ( parameter simulation based algorithm ))
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1
PID TUNING OF DC MOTOR USING SWARM ITELLIGENCE ALGORITHM
Published 2012“…The results will be the optimal value of controller parameters. In order to evaluate the control performance, the three control parameters will be used to tune DC Motor simulated in MATLAB. …”
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Final Year Project -
2
Railway wheelset parameter estimation using signals from lateral velocity sensor
Published 2008“…The algorithm includes an instrumental variable (IV) element to reduce estimation bias and a variable forgetting factor for good parameter tracking and smooth steady state. …”
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Article -
3
Fair bandwidth distribution marking and scheduling algorithm in network traffic classification
Published 2019“…Second, propose an Optimized Time Sliding Window based Three Colour Marker. Finally, propose a new method of obtaining optimal parameters dropping functions for Random Early Detection (RED) algorithm. …”
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Thesis -
4
Kalman filter based impedance parameter estimation for transmission line and distribution line
Published 2019“…Most of the current algorithms for parameter identification are based on the assumption that transmission line is fully transposed and the corresponding components are symmetric. …”
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Thesis -
5
Evaluation of lightning current and ground reflection factor using measured electromagnetic field
Published 2014“…In order to validate the proposed method, a set of measured electromagnetic fields are used as the input parameters for the proposed algorithm. …”
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Article -
6
Development of collision avoidance warning system for heavy vehicles featuring adaptive minimum safe distance / Airul Sharizli Abdullah
Published 2017“…To represent the adaptive minimum safe distance which will be used in activation algorithm for CAWS, the new distance-based CAWS model, namely Minimum Safe Distance Gap (MSDG) is introduced. …”
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Thesis -
7
TDMA scheduling analysis of energy consumption for iot wireless sensor network
Published 2019“…Network Simulator NS2.35 is the tool used for simulation of the project. …”
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Thesis -
8
Firefly analytical hierarchy algorithm for optimal allocation and sizing of distributed generation in radial distribution network
Published 2022“…The AHP was also found to yield accurate weights of the coefficient factors for each objective function compared to the weight-sum method generally used in studies. …”
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Thesis -
9
Nature-Inspired Drone Swarming for Wildfires Suppression Considering Distributed Fire Spots and Energy Consumption
Published 2024“…Our quantitative tests show that the improved model has the best coverage (95.3%, 84.3% and 65.8%, respectively) compared to two other methods Levy Flight (LF) algorithm and Particle Swarm Optimization (PSO), which use the same initial parameter values. …”
Article -
10
Uncertain viscoelastic models with fractional order: a new spectral tau method to study the numerical simulations of the solution
Published 2017“…In this study, to consider such uncertainty in variables of the models, they are characterized based on the fuzzy notion. We propose here a new model based on fractional calculus to deal with the Kelvin–Voigt (KV) equation and non-Newtonian fluid behavior model with fuzzy parameters. …”
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11
Use of AR Block Processing for Estimating the State Variables of Power System
Published 2008“…Samples of the local utility network for 103-bus parameter are collected and simulated using Burg and Modified Covariance algorithm to estimate the state variables. …”
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Conference or Workshop Item -
12
Optimization of perovskite solar cell with MoS2-based HTM layer using hybrid L27 Taguchi-GRA based genetic algorithm
Published 2025“…Numerical simulation of the device is carried out by employing one-dimensional solar cell capacitance simulator (SCAPS-1D) while the optimization procedures are developed based on combination of multiple methods; L27 Taguchi orthogonal array, GRA, multiple linear regression (MLR), and GA. …”
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Article -
13
Evaluation of lightning return stroke current using measured electromagnetic fields
Published 2012“…Moreover, in the proposed method, the attenuation height dependent factor can be determined using measured field while assuming it to be an unknown function based on the engineering model. …”
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Thesis -
14
Analysis of robot localisation performance based on extended kalman filter
Published 2015“…First is the performance of the algorithm using different parameters in which different velocities and number of landmarks have been used to determine the accuracy of the localisation method. …”
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15
Bio-lubricant production based on optimum epoxidized oleic acid using in situ peracid mechanism / Tunku Arif Zafri Tunku Ozir
Published 2022“…The determination of the optimum process parameters used the one factor at a time (OFAT) method. …”
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Student Project -
16
Vision-Based Autonomous Vehicle Driving Control System
Published 2005“…However, this study only focuses on driving control system that based on vision sensor. Therefore, this study presents a simulation system with Graphical User Interface (GUI) to simulate and analyse the driving control for autonomous vehicle that based on video taken fiom the vehicle during driving on highway, by using MATLAB programming. …”
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Thesis -
17
Vision-based autonomous vehicle driving control system
Published 2005“…However, this study only focuses on driving control system that based on vision sensor. Therefore, this study presents a simulation system with Graphical User Interface (GUI) to simulate and analyse the driving control for autonomous vehicle that based on video taken from the vehicle during driving on highway, by using MATLAB programming. …”
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18
Numerical Analysis of structural batteries response with the presence of uncertainty
Published 2023“…In evaluating the influence of the uncertainty parameters, Interval Monte Carlo Simulation and the interval finite element method are used to compute the bounds of the structure behavior. …”
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Article -
19
Information Theoretic-based Feature Selection for Machine Learning
Published 2018“…Three major factors that determine the performance of a machine learning are the choice of a representative set of features, choosing a suitable machine learning algorithm and the right selection of the training parameters for a specified machine learning algorithm. …”
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20
Optimization of operational policies for the Minab Reservoir, Southern Iran
Published 2012“…These parameters were optimized to reduce the water requirement based on the cost and benefit by using the Lingo model. …”
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