Search Results - (( data estimation matching algorithm ) OR ( java simulation optimization algorithm ))
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1
Indoor positioning using weighted magnetic field signal distance similarity measure and fuzzy based algorithms
Published 2021“…Therefore, for the second objective, another algorithm named the fuzzy algorithm is designed which combines the clustering algorithm, matching algorithm, triangle area algorithm and average Euclidean algorithm used to estimate location. …”
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Thesis -
2
Combining Recursive Least Square and Principal Component Analysis for Assisted History Matching
Published 2014“…History matching is a process of altering parameters in a reservoir simulator in order to match production performance with observed historical data. …”
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Final Year Project -
3
Application of Evolutionary Algorithm for Assisted History Matching
Published 2014“…When the differences between the observed performance data and simulated data are found, the iterations are made to modify the accuracy of the match. …”
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4
Fault location estimation for distribution system using simulated voltage sags data
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5
Hierarchical Bayesian estimation for stationary autoregressive models using reversible jump MCMC algorithm
Published 2018“…The performance of the algorithm is tested by using simulated data. The test results show that the algorithm can estimate the order and coefficients of the autoregressive model very well. …”
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Article -
6
A Map-matching Algorithm to Improve Vehicle Tracking Systems Accuracy
Published 2008“…The satellite-based vehicle tracking systems accuracy can be improved by augmenting the positional information using road network data, in a process known as map-matching. Map-matching algorithms attempt to estimate vehicle route and location in a particular road map (or any restricting track such as rails, etc), in spite of the digital map errors and GPS inaccuracies. …”
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7
Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection
Published 2022“…The simulation is implemented with iFogSim and java programming language. …”
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8
A Map-matching Algorithm to Improve Vehicle Tracking Systems Accuracy
Published 2008“…The satellite-based vehicle tracking systems accuracy can be improved by augmenting the positional information using road network data, in a process known as map-niatcliing. Map-matching algorithms attempt to estimate vehicle route and location in it particular road map (or any restricting track such as rails, etc), in spite of the digital map errors and GPS inaccuracies. …”
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Final Year Project -
9
An analysis of the performance of fast block matching motion estimation algorithms
Published 2009“…One of ME techniques, known as Block Matching Algorithm (BMA), has been widely used in various video coding standards. …”
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10
Performance analysis of block matching algorithms in motion estimation
Published 2010“…One of ME techniques, known as Block Matching Algorithm (BMA), has been widely used in various video coding standards. …”
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Conference or Workshop Item -
11
Enhancement of Ant Colony Optimization for Grid Job Scheduling and Load Balancing
Published 2011“…Global pheromone update is performed after the completion of processing the jobs in order to reduce the pheromone value of resources. A simulation environment was developed using Java programming to test the performance of the proposed EACO algorithm against existing grid resource management algorithms such as Antz algorithm, Particle Swarm Optimization algorithm, Space Shared algorithm and Time Shared algorithm, in terms of processing time and resource utilization. …”
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Thesis -
12
Ant colony optimization algorithm for load balancing in grid computing
Published 2012“…The proposed algorithm is known as the enhance ant colony optimization (EACO). …”
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Monograph -
13
Simulated kalman filter (SKF) based image template matching for distance measurement by using stereo vision system
Published 2018“…Stereo algorithm consists of camera calibration, stereo mapping (or disparity mapping) and 3D point cloud data. …”
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14
Reconstruction Algorithm In Ofdm System
Published 2017“…Consequently, various widely used compressive sensing reconstruction algorithm such as: Orthogonal Matching Pursuit (OMP), Compressed Sensing Matching Pursuit (CoSaMP), and Subspace Pursuit (SP) will be evaluated to test their efficacy sparse estimation performances in OFDM system.…”
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Monograph -
15
An estimation algorithm for improved maritime obstacle detection
Published 2024“…This paper presents an advanced estimation algorithm for improving obstacle detection in maritime navigation by integrating data from Velodyne LiDAR HDL-32E and a ZED2I depth camera on the Riptide Unmanned Surface Vehicle. …”
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Proceeding Paper -
16
OPTIMIZED MIN-MIN TASK SCHEDULING ALGORITHM FOR SCIENTIFIC WORKFLOWS IN A CLOUD ENVIRONMENT
Published 2023“…To achieve this, we propose a new noble mechanism called Optimized Min-Min (OMin-Min) algorithm, inspired by the Min-Min algorithm. …”
Review -
17
Fuzzy rank cluster top k Euclidean distance and triangle based algorithm for magnetic field indoor positioning system
Published 2021“…For the proposed fuzzy algorithm, a condition is applied to choose whether the triangle area or average Euclidean algorithm is used to find the final estimated position. …”
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18
Embedded system for indoor guidance parking with Dijkstra’s algorithm and ant colony optimization
Published 2019“…This study proposes a car parking management system which applies Dijkstra’s algorithm, Ant Colony Optimization (ACO) and Binary Search Tree (BST) in structuring a guidance system for indoor parking. …”
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19
Features selection for intrusion detection system using hybridize PSO-SVM
Published 2016“…Hybridize Particle Swarm Optimization (PSO) as a searching algorithm and support vector machine (SVM) as a classifier had been implemented to cope with this problem. …”
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20
An Improved Hybrid of Particle Swarm Optimization and the Gravitational Search Algorithm to Produce a Kinetic Parameter Estimation of Aspartate Biochemical Pathways
Published 2017“…Although the model itself can potentially match a set of experimental data, a high-performance estimation algorithm is required to improve the quality of the solutions. …”
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