Search Results - (( java implementation path algorithm ) OR ( parameter generation force algorithm ))
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1
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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2
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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3
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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4
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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5
Improved criteria determination of an automated negative lightning return strokes characterisation using Brute-Force search algorithm
Published 2021“…Accordingly, the proposed Brute-Force search algorithm characterised the negative lightning return strokes parameters based on the seven parameters. …”
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6
Automated Model Generation Approach Using MATLAB
Published 2011“…Model generators can also be categorized into the black, grey or white box approaches, depending on the level of existing knowledge of the system’s structure and parameters. …”
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7
Enhanced gravitational search algorithm for nano-process parameter optimization problem / Norlina Mohd Sabri
Published 2020“…Based on the capabilities of the metaheuristic algorithms, this research is proposing the enhanced Gravitational Search Algorithm (eGSA) to solve the nano-process parameter optimization problem. …”
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8
Surface defect detection and polishing parameter optimization using image processing for G3141 cold rolled steel
Published 2016“…For the purpose of this study, multiple ANFIS or MANFIS have been selected to predict optimum parameter for polishing parameters. Polishing parameter data can be generated by using MANFIS to predict optimum polishing parameters such as grit size, polishing time and polishing force in order to perform polishing process. …”
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9
Multi-objectives process optimization in end milling process of aluminium alloy 6061-T6 using genetic algorithm
Published 2024“…The optimum parameters were determined according to the design flow, constraints value and mathematical algorithm. …”
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10
Adaptive force-position-speed collaborative process planning and roughness prediction for robotic polishing
Published 2025“…For curved workpieces, the curvature adaptive interpolation method is introduced to generate trajectories. An adaptive impedance control strategy is implemented to enhance force control, and PD iteration and RBF neural networks are used to ensure stable contact force and accuracy. …”
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11
Power generation coordination with consideration of shortfall cost using grey wolf optimizer / Nurush Syifaa Anuar
Published 2020“…This GWO algorithm is a simple method that use a few parameter, fast seeking speed and high search precision where it is more easily combined with the practical engineering problems. …”
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12
Cash-flow analysis of a wind turbine operator
Published 2023“…The intermittent characteristics of wind energy seriously affect the reliability and output power of wind turbine generator (WTG). The paper outlines a method to evaluate the distribution of WTG operator's daily cash-flow by developing an algorithm based on Monte-Carlo technique. …”
Conference Paper -
13
Location-based Solar Energy Potential Prediction Algorithm for Mountainous Rural Landscapes
Published 2013“…The approach described in this paper can be used for rapidly computing the amount of solar radiation generated on a mountainous landscape surface and in the atmosphere as a function of height parameters. …”
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14
Optimization of hydropower reservoir system using genetic algorithm for various climatic scenarios
Published 2015“…The main scope of stage II is the prediction of future power generation by using generated weather data. Accordingly, the first aspect to point out is the generation of future climate parameters. …”
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15
Fault Detection and Identification in Quadrotor System (Quadrotor Robot)
Published 2016“…The aim of the research is to construct and design a Fault Detection and Isolation algorithm. This dynamic model is based on the first principles of the Quadrotor: Propeller model and its force as well as moments generation. …”
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16
Coherence Function of Wind and Waves ofMetocean Data
Published 2011“…The measured data is analyzed using the assistance of mathematical software, PASW 18 in order to compute the complex algorithm involved. The results obtained show that the wind is not actually the major factor to generate the wave at specific platforms. …”
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Final Year Project -
17
Fraud detection in telecommunication using pattern recognition method / Mohd Izhan Mohd Yusoff
Published 2014“…Due to the complexity of GMM, we use Expectation Maximization (or EM) algorithm by Dempster et al. (1977) to obtain the maximum likelihood estimates of the GMM parameters. …”
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18
Design and optimization of a compressed air energy storage (CAES) power plant by implementing genetic algorithm
Published 2016“…The strong penalties of CO2 generation have forced the designers to develop systems having the least pollution. …”
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19
Design and optimization of a compressed air energy storage (CAES) power plant by implementing genetic algorithm
Published 2016“…The strong penalties of CO2 generation have forced the designers to develop systems having the least pollution. …”
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20
Design and optimization of a compressed air energy storage (CAES) power plant by implementing genetic algorithm
Published 2016“…The strong penalties of CO2 generation have forced the designers to develop systems having the least pollution. …”
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