Search Results - (( bubble detection ((sensor algorithm) OR (mead algorithm)) ) OR ( a simulation based algorithm ))
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Charge coupled device based on optical tomography system in detecting air bubbles in crystal clear water
Published 2024“…Experiments in detecting moving air bubbles are conducted. The images of captured data are reconstructed based on filtered image of Linear Back Projection with Hybrid algorithms. …”
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Online simulation to monitor multiphase flow using laser source as transmitter
Published 2021“…This research presents an application of optical tomography for the detection of gas bubbles flowing in a liquid medium. …”
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Online Simulation To Monitor Multiphase Flow Using Laser Source As Transmitter
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Shape-Based Matching: Application of Defect Detection
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Charge-coupled device based on optical tomography system in detecting solid and transparent objects in non-flowing crystal clear water
Published 2024“…Experiments in detecting static solid, transparent objects and moving air bubbles are conducted. …”
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Charge-coupled device based on optical tomography system in detecting solid and transparent objects in non-flowing crystal clear water
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Initial study of invasive approach of electrical capacitance tomography for identifying non-conducting medium in steel pipe application
Published 2021“…In short, the invasive approach for ECT is seen to be possible to apply for oil-gas application in steel pipe. The LBP algorithm with the average MSSIM value around 0.3 was able to detect the oil-gas regime inside the steel pipe.…”
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Initial Study of Invasive Approach of Electrical Capacitance Tomography for Identifying Non-Conducting Medium in Steel Pipe Application
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A simulation based fly optimisation algorithm for swarms of mini autonomous surface vehicles application
Published 2011“…Based on the detailed study of the Drosophila, the flowchart behaviour for the algorithm, code implementation, methodologies and simulation analysis, a novel Fly Optimization Algorithm (FOA) approach is presented. …”
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Optimization-based simulation algorithm for predictive-reactive job-shop scheduling of reconfigurable manufacturing systems
Published 2022“…This research also provided some results in combining the rule-based simulation with optimization: first, a feasible schedule was computed and then fine-tuned with the rule-based simulation system, then tested with RMS which is the reactive part. …”
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Simulated Kalman Filter: A Novel Estimation-based Metaheuristic Optimization Algorithm
Published 2016“…In this paper, a new population-based metaheuristic optimization algorithm, named Simulated Kalman Filter (SKF) is introduced. …”
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Performance of Ad-Hoc on-Demand Distance Vector Discovery Algorithms Based On Packet Lifetime
Published 2008“…From the extensive simulations based on the performance metrics, the two proposed algorithms have shown distinct improvement and subsequently enhancing the performance of AODV.…”
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A fault syndromes simulator for random access memories
Published 2008“…The simulator allows a user through a GUI to select a March based test algorithm depending on the desired fault coverage and diagnostic resolution. …”
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Adaptive beamforming algorithm based on Simulated Kalman Filter
Published 2017“…A modified version of the SKF algorithm, named Opposition-Based SKF (OBSKF), introduced by K. …”
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Incorporating the range-based method into GridSim for modeling task and resource heterogeneity
Published 2017“…GridSim simulator has become a very popular simulation tool and has been widely used by Grid researchers to test and evaluate the performance of their proposed scheduling algorithms. …”
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An event-driven simulation for highest urgency first (HUF) : a latency and modulation aware bandwidth allocation algorithm for WiMAX base stations.
Published 2013“…This research has focused at developing a discrete-event simulator to implement bandwidth allocation algorithms for a WiMAX base station.The highest urgency first algorithm has been utilized as a benchmark deployment algorithm in order to provide: dynamic downlink/uplink adjustment and latency guarantee for real-time applications. …”
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Simulated Kalman Filter algorithms for solving optimization problems
Published 2019“…However, the HKA algorithm has its own flaws. Although it was introduced as a population-based stochastic optimization algorithm, HKA is not exactly a population-based algorithm because it initializes and updates only a single solution. …”
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Development of Simulated Annealing Based Scheduling Algorithm for Two Machines Flow Shop Problem
Published 2015“…Viewing as optimization problem and focusing on two machines, this research aims to develop a new Simulated Annealing based scheduling algorithm, called SA2M, for flow shop problem. …”
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An exponential based simulated kalman filter algorithm for data-driven PID tuning in liquid slosh controller
Published 2018“…SKF is a random based optimization algorithm inspired from a Kalman Filter theory. …”
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