Search Results - (( java implementation path algorithm ) OR ( parameters variation validation algorithm ))
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Heavy Transportation Shortest Route using Dijkstra’s algorithm (HETRO) / Nurul Aqilah Ahmad Nezer
Published 2017“…The development tools used in developing this project is NetBeans by using Java for the implementation of the coding. The methodology that used for developing this system is the Dijkstra’s algorithm. …”
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Embedded system for indoor guidance parking with Dijkstra’s algorithm and ant colony optimization
Published 2019“…BST inserts the nodes in the way that the Dijkstra’s can find the empty parking in fastest way. Dijkstra’s algorithm initials the paths to finding the shortest path while ACO optimizes the paths. …”
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Path planning for unmanned aerial vehicle (UAV) using rotated accelerated method in static outdoor environment
Published 2021“…In this study, a fast iterative method known as Rotated Successive Over-Relaxation (RSOR) is introduced. The algorithm is implemented in a self-developed 2D Java tool, UAV Planner. …”
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Smart appointment organizer for mobile application / Mohd Syafiq Adam
Published 2009“…The main component of this prototype is the use of Dijkstra algorithm to compute the shortest path from source of appointment to the 6 points of destinations within UiTM Shah Alam. …”
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Decentralized Adaptive Pi With Adaptive Interaction Algorithm Of Wastewater Treatment Plant
Published 2014“…The Pi controller parameters are obtained by using simple updating algorithm developed based on adaptive interaction theory. …”
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Improved Differential Evolution-Based MPPT Algorithm Using SEPIC for PV Systems Under Partial Shading Conditions and Load Variation
Published 2018“…The main contribution of the proposed algorithm are the following: capability in tracking GMPP and faster respond against load variation; optimization algorithm can search for the GMPP within a larger operating region as it is implemented by using a single-ended primary-inductor converter; and easy tuning as less parameter has to be set in the algorithm. …”
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Optimal variational mode decomposition and integrated extreme learning machine for network traffic prediction
Published 2021“…However, most of the existing evolutionary algorithms have some adjustable parameters which depend on subjective experience or prior knowledge. …”
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Analysis of Current Harmonics Compensation and the Effect of Frequency Variation for Single-Phase Stand-Alone PV Inverters using PR Controller
Published 2018“…The controller parameters (K p , K i , and ω c ) and the inductor-capacitor (LC)-filter parameters are optimally selected to obtain a very low current total harmonic distortion. …”
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Efficiency improvement of a standalone photovoltaic system using fuzzy-based maximum power point tracking algorithm
Published 2016“…The experimental results validated the performance of the MPPT algorithms at steady state conditions in term of response time, oscillation, and MPP ratio. …”
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New global maximum power point tracking and modular voltage equalizer topology for partially shaded photovoltaic system / Immad Shams
Published 2022“…Only one dynamic variable is used as a tuning parameter reducing the complexity of the algorithm. …”
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Renewable sources-based automatic load frequency control of interconnected systems using chaotic atom search optimization
Published 2022“…Initially, the proposed IASO is validated using a classical benchmark function and its performance is compared with ASO algorithm. …”
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Design of super twisting algorithm for chattering suppression in machine tools
Published 2017“…This paper elaborates on the design and analysis of the super twisting algorithm with focus on optimizing the gain parameters. …”
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Arbitrary Lagrangian-Eulerian form of flowfield dependent variation (ALE-ADV) method for moving boundary problems
Published 2015“…Flowfield Dependent Variation (FDV) method is a mixed explicit-implicit numerical scheme that was originally developed to solve complex flow problems through the use of so-called implicitness parameters. …”
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14
A modified technique in RFID networking planning and optimization
Published 2015“…Any variation made to the values of PSO parameters (number of iterations, number of swarms, inertia weight value and correction factor value) will result in a huge difference to the output of the optimization process. …”
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15
Fuzzy control algorithm for educational light tracking system
Published 2010“…The fuzzy controller input parameters (light source pixel coordinate) and output parameters (variation of duty cycle) are used to generate the optimal pulse-width modulated (PWM) under different operating conditions to drive the motors. …”
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16
Positioning control of a ball screw system driven by DC motor
Published 2014“…So this project is to compare the robustness of two proposed controllers by comparing the results of ball screw table position when the parameter mass of load is set to vary. The experiment is started with designing the algorithms of fuzzy PID control and conventional PID controller, then the designed algorithm is applied onto the experimental that has been setup. …”
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Neural Network Model and Finite Element Simulation of Spring back in Plane-Strain Metallic Beam Bending
Published 2006“…A neural network algorithm based on the backpropagation algorithm has been developed. …”
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19
Adaptive linux-based TCP congestion control algorithm for high-speed networks
Published 2017“…Fortunately, the results confirm the validity of the proposed algorithm. Furthermore, we propose a new delay-based CCA to increase bandwidth utilization over long-distance networks, in which RTTs are very long, buffers are very large and packet loss is very common. …”
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20
Physics-guided deep neural network to characterize non-Newtonian fluid flow for optimal use of energy resources
Published 2021“…The performance of the algorithm is validated with experimental datasets. …”
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