Search Results - (( java implications based algorithm ) OR ( programming problem mass algorithm ))

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  1. 1

    Switching Time Optimization via Time Optimal Control for Natural Gas Vehicle Refueling by Mahidzal Dahari, Mahidzal

    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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    Thesis
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    Synthesis and optimization of multilevel refrigeration systems using generalized disjunctive programming by Matovu, F., Mahadzir, S., Ahmed, R., Rozali, N.E.M.

    Published 2022
    “…The synthesis and optimization of multilevel refrigeration systems is challenging because it's a highly non-linear, multi-variable, and multi-modal problem. This work presents a novel approach to develop a complete generalized disjunctive programming model for the synthesis and optimization of multilevel refrigeration systems. …”
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    Article
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    3D hand posture recognition using multicam by Mohd Nazrin , Muhammad, Nurdiana, Nordin

    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
  7. 7

    Development of nonlinear model for continuous stirred tank reactor (CSTR) by Mohamad Ikwan, Zakaria

    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
  8. 8

    Determination Of Bukit Merah Reservoir Capacity Using Sequential Peak Analysis by Azhani, Aidatul Aznuraini Aidil

    Published 2022
    “…The Sequent Peak Analysis is chosen because it is easy to program, suits with large data and considers evaporation losses compared to other methods which is Mass Curve Method. …”
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    Monograph
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    Detection of Microcalcification Using Mammograms by Md Hasan, Khairul Nisak

    Published 2004
    “…It is the low-dose x-ray examination performed to patient to detect the primary mass when it is still small and confined to the breast. …”
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    Final Year Project
  10. 10

    Application of artificial neural network in discriminating the agarwood oil quality using significant chemical compounds / Mohd Hezri Fazalul Rahiman … [et al.] by Rahiman, Mohd Hezri Fazalul, Ismail, Nurlaila, Taib, Mohd Nasir, Mohd Ali, Nor Azah, Tajuddin, Saiful Nizam

    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