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Study and Implementation of Data Mining in Urban Gardening
Published 2019“…The system is essentially a three-part development, utilising Android, Java Servlets, and Arduino platforms to create an optimised and automated urban-gardening system. …”
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Modelling of Adsorption of Dyes from Aqueous Solution by Activated Carbon
Published 2004“…Programs written in FORTRAN 90 are used to extrapolate the mass transfer parameters by matching the simulation data with the experimental data of batch studies. …”
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Thesis -
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Web-based expert system for material selection of natural fiber- reinforced polymer composites
Published 2015“…Finally, the developed expert system was deployed over the internet with central interactive interface from the server as a web-based application. As Java is platform independent and easy to be deployed in web based application and accessible through the World Wide Web (www), this expert system can be one stop application for materials selection.…”
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SYSTEMATIC DESIGN ALGORITHM FOR ENERGY EFFICIENT AND COST EFFECTIVE HYDROGEN PRODUCTION FROM PALM WASTE
Published 2012“…A cost minimization work on the ±1owsheet subject to the reaction kinetics behaviour, mass and energy balances and minimum utility cost, to obtain the optimal parameters, has been conducted. …”
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A matlab-based graphical user interface (GUI) to predict the food quality during frying process
Published 2022“…In this study, the colour and moisture content of French fries is studied during deep frying.The colour changes and moisture content were formulated by first order kinetic equation which was numerically solved by using the Runge Kutta fourth order method that was embedded with a parameter fitting technique called as Nelder-Mead algorithm in MATLAB software. …”
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Application of artificial neural network in discriminating the agarwood oil quality using significant chemical compounds / Mohd Hezri Fazalul Rahiman … [et al.]
Published 2014“…Back-propagation training algorithm and sigmoid transfer function were used to optimise the parameters in the training network. …”
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Artificial neural network (ANN) modeling & validation to predict compression index of tropical soft soil
Published 2010“…This study demonstrates the comparison between the conventional estimation of Cc by using Terzaghi’s settlement equation and the predicted Cc from ANN. Therefore, a programming was written by using MATLAB 6.5 and train with eight different training algorithm, namely Resilient Backpropagation (rp), Conjugate Gradient Polak-Ribiére algorithm (cgp), Scale Conjugate Gradient (scg), Levenberg-Marquardt algorithm (lm), BFGS Quasi-Newton (bfg), Conjugate Gradient with Powell/Beale Restarts (cgb), Fletcher-Powell Conjugate Gradient (cgf), and One-step Secant (oss) have been compared for the best prediction of Cc. …”
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Final Year Project Report / IMRAD -
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A Sensorless Positioning System For Linear Dc Motor
Published 2008“…Linear relation between motor position and timing parameters used in control algorithms has been studied and linear equations have been derived. …”
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