Search Results - (( java implication tree algorithm ) OR ( program mass based algorithm ))
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Switching Time Optimization via Time Optimal Control for Natural Gas Vehicle Refueling
Published 2007“…In this thesis, a refueling algorithm using Time Optimal Control (TOC) technique is proposed as a basis for determining the optimal switching time in NGV refueling using the mass and mass flowrate as the state variables, measured using Coriolis flowmeter. …”
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Synthesis and optimization of multilevel refrigeration systems using generalized disjunctive programming
Published 2022“…The model is solvable using advanced solution algorithms such as the Logic-based branch and bound because of it's disjunctive nature. …”
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Flow regime identification of particles conveying in pneumatic pipeline using electric charge tomography and neural network techniques
Published 2006“…A neural network based flow regime identifier program is developed in Matlab environment. …”
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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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Mobile game application development using evolutionary algorithms
Published 2014“…Since it involves human users, adding Interactive Evolutionary Algorithm (IEA) together with EP has allowed further rules to be generated that are based on the user’s preferences. …”
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Development of nonlinear model for continuous stirred tank reactor (CSTR)
Published 2010“…Continuous stirred tank reactors (CSTR) finds wide application in the chemical industry from pilot plant to full-scale production operation.CSTRs generally present operational problems due to complex open-loop nonlinear behavior in the form of input/output multiplicities and ignition/extinction phenomena.A major limitation of linear model is that plant behavior is described by linear dynamic model.As a result,linear model is inadequate for highly nonlinear process and moderately nonlinear process which have large operating regimes.This shortcoming coupled with increasingly stringent demands on throughput and product quality has spurred the development of nonlinear model.The objective of this research are development mathematical model for CSTR process based on first principal,validation of mathematical model through experimentation and nonlinear model identification of a CSTR process.The mathematical model based on first principles is developed from sodium hydroxide,ethyl acetate,and sodium acetate and ethanol mass balance.Then,the model equation is solving in MATLAB environment by doing algorithm for this process.The program for CSTR system is created and this program known as nonlinear fundamental model.The result from the MATLAB simulation program is compared with experimental result to validate the fundamental model. …”
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Undergraduates Project Papers -
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3D hand posture recognition using multicam
Published 2011“…The availability of the distance data allows the hand posture to be recognized in z-axis direction without complex computational algorithms which also enables the program to work in real-time processing as well as eliminates the background effectively. …”
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Conference or Workshop Item -
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A matlab-based graphical user interface (GUI) to predict the food quality during frying process
Published 2022“…The phenomena of heat and mass transfer are occur during deep frying process due to physicochemical changes that affects the colour and moisture content of food quality. …”
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SYSTEMATIC DESIGN ALGORITHM FOR ENERGY EFFICIENT AND COST EFFECTIVE HYDROGEN PRODUCTION FROM PALM WASTE
Published 2012“…The heat integration model based on mixed integer non-linear programming was also developed to minimize the utility cost and heat exchanger area cost for the gasification system to incorporate energy efficiency evaluation. …”
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Automatic generation of mobile content in entertainment applications using evolutionary computing
Published 2010“…Since it involves human users, adding Interactive Evolutionary Algorithm together with Evolutionary Programming has allowed further rules to be generated that are based on the user's preferences. …”
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Research Report -
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A Sensorless Positioning System For Linear Dc Motor
Published 2008“…A mathematical model for constructed LDM has been derived based on damped force oscillation of mass spring system theory. …”
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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“…The work involves of selected agarwood oil from low and high quality, the extraction of chemical compounds using GC-MS and Z-score to identify the significant compounds as input to the network. The ANN programming algorithm was developed and computed automatically via Matlab software version R2010a. …”
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Book Section -
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Validation of deep convolutional neural network for age estimation in children using mandibular premolars on digital panoramic dental imaging / Norhasmira Mohammad
Published 2022“…The semi-automated dental staging system developed in this study is based on the Malay children’s population and uses a brain-inspired learning algorithm termed "deep learning". …”
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