Search Results - (( pressure distribution function algorithm ) OR ( pressure optimization method algorithm ))
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PREDICTIVE MAXIMUM POWER POINT TRACKING (MPPT) ALGORITHM FOR PERMANENT EXCHANGE MEMBRANE FUEL CELL (PEMFC)
Published 2022“…A comparison of PEMFC performances based on the proposed technique with other existing MPPT algorithms will be done to validate the algorithm performance. …”
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Final Year Project Report / IMRAD -
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Development of cost reduction mathematical model for natural gas transmission network system
Published 2012“…Therefore, the data clearly exhibit that the proposed method provides a solution that was nearer to an optimized network.…”
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Thesis -
3
Model-based hybrid variational level set method applied to object detection in grey scale images
Published 2024“…VKMHLS simplifies the Local Intensity Clustering (LIC) model and introduces a novel energy functional based on the region-based pressure function, enhancing the efficiency of segmentation for low grayscale images. …”
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Development of a State-Space Observer for Active Noise Control Systems
Published 2009“…A lot of work in modeling an ANC system involves the transfer function approach, but unfortunately this method allows observation at a single point or mode. …”
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Thesis -
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Algorithm development for optimization of a refrigeration system
Published 2010“…This thesis deals with algorithm development for optimization of a refrigeration system. …”
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Undergraduates Project Papers -
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Peak pressure analysis of foot plantar distribution based on image processing algorithm
Published 2018“…The other main goal of this work is to create an algorithm which has the ability to formulate accurately and reliably the distribution of pressure over the foot plantar. …”
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7
Development Of Analytical Solution For Thermo-Mechanical Stresses Of Multilayered Pressure Vessel Based On Recursive Algorithm
Published 2022“…Hence, the present work aimed to derive the analytical solution by using recursive algorithm for multilayered cylindrical and spherical pressure vessels which are subjected to thermo-mechanical loading. …”
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Final Year Project / Dissertation / Thesis -
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Metaheuristic Algorithm for Wellbore Trajectory Optimization
Published 2019“…In drilling engineering, the optimization of wellbore plays an important role, which can be optimized based on minimization of length, mud pressure, critical pressure, etc. …”
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Improvement and application of particle swarm optimization algorithm
Published 2025“…Finally, real-world tests are performed to verify the proposed Algorithm's efficacy compared to existing optimization methods. …”
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Article -
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Numerical simulation of fluid flow in three dimensional domain based on two stage pressure-velocity correction method
Published 2015“…In this paper a two stage pressure-velocity correction approach for immersed boundary method is proposed. …”
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Conference or Workshop Item -
12
Numerical simulation of fluid flow in three dimensional domain based on two stage pressure-velocity correction method
Published 2015“…In this paper a two stage pressure-velocity correction approach for immersed boundary method is proposed. …”
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Conference or Workshop Item -
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Impact of evolutionary algorithm on optimization of nonconventional machining process parameters
Published 2025“…Using a Python environment, three evolutionary algorithms such as, Particle Swarm Optimization (PSO), Ant Colony Optimization (ACO), and Firefly Algorithm (FA), were simulated to evaluate their effectiveness in minimizing surface roughness (Ra). …”
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Article -
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Thin Film Roughness Optimization In The Tin Coatings Using Genetic Algorithms
Published 2017“…In order to represent the process variables and coating roughness, a quadratic polynomial model equation was developed. Genetic algorithms were used in the optimization work of the coating process to optimize the coating roughness parameters. …”
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Article -
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PID Tuning Of Process Plant Using Evolutionary Algorithm
Published 2014“…In this project, Evolutionary algorithm (Particle Swarm Optimization) is implemented to optimize the controller parameters in order to improve the system performance of the real pressure plant. …”
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Final Year Project -
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Base pressure control through micro jets at supersonic Mach numbers using experimental and machine learning approach
Published 2026“…Furthermore, machine learning (ML) algorithms were utilized to predict base pressure outcomes and optimize control strategies. …”
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Hybrid Artificial Bees Colony algorithms for optimizing carbon nanotubes characteristics
Published 2018“…Optimization is a crucial process to select the best parameters in single and multi-objective problems for manufacturing process.However,it is difficult to find an optimization algorithm that obtain the global optimum for every optimization problem.Artificial Bees Colony (ABC) is a well-known swarm intelligence algorithm in solving optimization problems.It has noticeably shown better performance compared to the state-of-art algorithms.This study proposes a novel hybrid ABC algorithm with β-Hill Climbing (βHC) technique (ABC-βHC) in order to enhance the exploitation and exploration process of the ABC in optimizing carbon nanotubes (CNTs) characteristics.CNTs are widely used in electronic and mechanical products due to its fascinating material with extraordinary mechanical,thermal,physical and electrical properties. …”
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Thesis -
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CFD-based optimization of base pressure behavior on suddenly expanded flows at supersonic Mach numbers
Published 2022“…Furthermore, to assess the right range of conditions for maximizing base pressure, the genetic algorithm (GA), desirability function approach (DFA), and particle swarm optimization (PSO) techniques were implemented. …”
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A Study of Ikaz and Normalized Hilbert transform for solving faulty in pipeline distribution system using transmission line modelling
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Conference or Workshop Item -
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Enhancing solid oxide fuel cell efficiency through advanced model identification using differential evolutionary mutation fennec fox algorithm
Published 2025“…An ideal model should be adaptable to varying operating pressures and temperatures. This research introduces a novel approach for optimal SOFC model identification using a differential evolutionary mutation Fennec fox algorithm (DEMFFA). …”
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