Search Results - (( parameters navigation based algorithm ) OR ( java simulation optimization algorithm ))
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1
Development Of Motion Planer And Navigation System For An Office Assistant Robot
Published 2021“…Besides, map was generated by using SLAM algorithm, the costmap was setup and the parameters such as inflation_dist and cost_scaling_factor was studied and tuned based on this application. …”
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Final Year Project / Dissertation / Thesis -
2
Guidance, navigation and control for satellite proximity operations using Tschauner-Hempel equations
Published 2011“…The corresponding measurement models, process noise matrix and other filter parameters are provided. The guidance and control algorithms are based on the glideslope used in the past for rendezvous and proximity operations of the Space Shuttle with other vehicles. …”
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Proceeding Paper -
3
Guidance, navigation and control for satellite proximity operations using Tschauner-Hempel equations
Published 2014“…The corresponding measurement models, process noise matrix and other filter parameters are provided. The guidance and control algorithms are based on the glideslope used in the past for rendezvous and proximity operations of the Space Shuttle with other vehicles. …”
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Article -
4
Relative motion guidance, navigation and control for autonomous spacecraft rendezvous
Published 2011“…In this paper, the development of guidance, navigation, and control algorithms of an autonomous space rendezvous and docking system are presented. …”
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Proceeding Paper -
5
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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Article -
6
A Navigation Strategy for Swarm Robotics Based on Bat Algorithm Optimization Technique
Published 2018“…The analysis of the performance of proposed algorithm is conducted by considering two different parameters. …”
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Conference or Workshop Item -
7
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 -
8
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 -
9
Stereo matching algorithm for autonomous vehicle navigation using integrated matching cost and non-local aggregation
Published 2023“…The disparity map produced by the stereo matching algorithm directly impacts the quality of the 3D information provided to the navigation system. …”
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Article -
10
Expectation maximization clustering algorithm for user modeling in web usage mining system
Published 2009“…In this study we advance a model for mining of user’s navigation pattern. The model is based on expectation-maximization (EM) algorithm and it is used for finding maximum likelihood estimates of parameters in probabilistic models, where the model depends on unobserved latent variables. …”
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Article -
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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 -
13
The banjir rescue: an IoT-based flood evacuation center system / Nur Aliah Syamsurial
Published 2020“…In this approach, the appropriate evacuation center is determined based on two critical parameters which are the water level and distance. …”
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Thesis -
14
Embedded Artificial Intelligent (AI) To Navigate Cart Follower
Published 2018“…The training algorithm may also vary with different sets of parameters, number of neurons and activation function. …”
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Monograph -
15
Performance comparison between genetic algorithm and ant colony optimization algorithm for mobile robot path planning in global static environment / Nohaidda Sariff
Published 2011“…Subsequently, both algorithms were applied to the test environments. Finally, the performances of both algorithms were analyzed and evaluated based on the required criteria. …”
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Thesis -
16
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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Thesis -
17
Banjir rescue: IOT-based flood evacuation center / Nor Azimah Khalid ... [et al.]
Published 2025“…In this approach, the appropriate evacuation center is determined based on two critical parameters, which are the water level and distance. …”
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Article -
18
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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Thesis -
19
Resource management in grid computing using ant colony optimization
Published 2011“…Resources with high pheromone value are selected to process the submitted jobs.Global pheromone update is performed after completion 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 other ant based algorithm, in terms of resource utilization.Experimental results show that EACO produced better grid resource management solution.…”
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Monograph -
20
Path Planning and Control of Mobile Robot in Road Environments using Sensor Fusion and Active Force Control
Published 2018“…We proposed a complete navigation algorithm that enables the WMR to autonomously navigate on the road with various scenarios. …”
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