Search Results - (( water distribution a algorithm ) OR ( parameters presentation based algorithm ))
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A Hydrologic Model for Studying the Climate Change Impact on Evapotranspiration and Water Yield in a Humid Tropical Watershed
Published 1998“…A distributed parameter ET submodel was developed based on a biophysical approach for simulating actual evapotranspiration from a watershed with closed canopy cover of natural and planted vegetation. …”
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PREDICTIVE MAXIMUM POWER POINT TRACKING (MPPT) ALGORITHM FOR PERMANENT EXCHANGE MEMBRANE FUEL CELL (PEMFC)
Published 2022“…The focus of this project is to show the power characteristics extracted from the PEMFC system by using predictive control. 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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Optimization of hydropower reservoir system using genetic algorithm for various climatic scenarios
Published 2015“…Since hedging policies are usually applied to distribute the water supply, the power-supply also scatter in the simulation period. …”
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Hybrid Predictive- Neural Network Based On Proton Exchange Membrane Fuel Cell Maximum Power Point Tracking
Published 2023“…This project's objective is to simulate a fully functional PEMFC system that is based on mathematical models and combines them with an artificial neural network. …”
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Final Year Project Report / IMRAD -
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Development Of Distributed Grid-Based Hydrological Model And Floodplain Inundation Management System
Published 2008“…A physical based, distributed hydrological model was developed to route overland flows during isolated HISD storms. …”
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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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Sequence-based interaction testing implementation using Bees Algorithm
Published 2023“…These interactions of the sequence of inputs need to be tested to avoid fault due to sequence interaction. In this paper we present a sequence-based interaction testing strategy (termed as sequence covering array) using Bees Algorithm. …”
Conference paper -
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A novel normal parameter reduction algorithm of soft sets
Published 2010“…In this paper, we propose a novel normal parameter reduction algorithm of soft sets based on the oriented-parameter sum, which can be carried out without parameter important degree and decision partition. …”
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Conference or Workshop Item -
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Time based internet traffic policing and shaping with Weibull traffic model / Mohd Azrul Abdullah
Published 2015“…Two important Weibull parameters which are shape and scale are measured. Based on the identified statistical parameters, a new Time Based Policing and Shaping algorithm is developed and simulated. …”
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An automated gravimetric & PWM based fluid dispensing system with GA parameter fine tuning
Published 2023“…In addition, a Genetic Algorithm (GA) Parameter Fine Tuning technique is presented as well. …”
Conference Paper -
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Sequence and sequence-less t-way test suite generation strategy based on the elitist flower pollination algorithm
Published 2018“…If t-way strategies are to be adopted in such a system, there is also a need to support test data generation based on sequence of interactions. Addressing these aforementioned issues and complementing the existing sequence based strategies such as t-SEQ, Sequence Covering Array Generator and Bee Algorithm, this thesis presents a unified strategy based on the new meta-heuristic algorithm, called the Elitist Flower Pollination Algorithm (eFPA). …”
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Time based internet traffic policing and shaping with Weibull traffic model / Mohd Azrul Abdullah
Published 2015“…Two important Weibull parameters which are shape and scale are measured. Based on the identified statistical parameters, a new Time Based Policing and Shaping algorithm is developed and simulated. …”
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Application of weighted average on modal parameters for damage detection algorithms: Case study on steel beam
Published 2011“…In addition, the stiffness deterioration based on the mathematical calculation of the change in the second moment of inertia is presented. …”
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Article -
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Improved intrusion detection algorithm based on TLBO and GA algorithms
Published 2021“…The NTLBO was proposed in this paper as an FSS mechanism; its algorithm-specific, parameter-less concept (which requires no parameter tuning during an optimization) was explored. …”
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New Parameter Reduction of Soft Sets
Published 2012“…However, the algorithm involves a great amount of computation. In this thesis, a New Efficient Normal Parameter Reduction algorithm (NENPR) of soft sets is proposed based on the new theorems, which have been proved and presented. …”
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DC MOTOR CONTROL USING GENETIC ALGORITHM BASED PID
Published 2011“…This dissertation presents the research that had been done on the chosen topic, works done and results acquired throughout the Final Year Project for two semesters, about the DC Motor Control using Genetic Algorithm based PID. …”
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Final Year Project -
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Detection of leak size and its location in a water distribution system by using K-NN / Nasereddin Ibrahim Sherksi
Published 2020“…Water distribution systems contain pipes with different diameters, pumps, junction, valves and tanks to transport water through the system, and water leakage in the system represents a serious economic costs. …”
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The effect of GA parameters on the performance of GA-based QoS routing algorithm
Published 2023“…This paper presents the simulation result of the effect of three GA parameters which are maximum iterations, population size and mutation probability on the developed algorithm. � 2008 IEEE.…”
Conference paper -
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Design of low order quantitative feedback theory and H-infinity-based controllers using particle swarm optimisation for a pneumatic actuator system
Published 2010“…It is shown that the designed controllers present robustness over a wide range of parameters change. …”
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