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  1. 1
    Block based motion vector estimation using fuhs16 uhds16 and uhds8 algorithms for video sequence

    Block based motion vector estimation using fuhs16 uhds16 and uhds8 algorithms for video sequence by S. S. S. , Ranjit

    Published 2011
    “…Various existing block-matching motion estimation algorithms have been analysed to develop the fundamental research. …”
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  2. 2
    The implications for ahybrid detection technique against malicious sqlattacks on web applications

    The implications for ahybrid detection technique against malicious sqlattacks on web applications by Bahjat Arif, Sarajaldeen Akram, Wani, Sharyar

    Published 2025
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  3. 3
    Development of nonlinear model for continuous stirred tank reactor (CSTR)

    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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  4. 4
    Maass cusp form on asymmetric hyperbolic torus

    Maass cusp form on asymmetric hyperbolic torus by Shamsuddin, Nor Syazana

    Published 2017
    “…Consider that the asymmetric torus has no parity symmetry, an algorithm of MCF with exponential expansion is developed using Mathematica. …”
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  5. 5
    Development of nonlinear model for plug flow reactor process

    Development of nonlinear model for plug flow reactor process by Ahmad Akmal, Wahamid

    Published 2010
    “…The mathematical model based on first principles is developed then, the model equation is solving in MATLAB environment by doing algorithm for this process. …”
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  6. 6
    Development of control algorithm for a new 12s-6p single phase field excited flux switching motor

    Development of control algorithm for a new 12s-6p single phase field excited flux switching motor by Amin, Faisal

    Published 2020
    “…Afterwards control algorithms have been successfully developed and implemented in the motor control hardware. …”
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  7. 7
    Application of Evolutionary Algorithm for Assisted History Matching

    Application of Evolutionary Algorithm for Assisted History Matching by Zahari, Muhammad Izzat

    Published 2014
    “…The methodology will be tested on developed synthetic model.…”
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  8. 8
    Reusing three-phase power-flow object components for unbalanced harmonic analysis

    Reusing three-phase power-flow object components for unbalanced harmonic analysis by Nor, Khaled Mohamed, Jeun, L. W., Abdel-Akher, M., Abdul Rashid, Abdul Halim

    Published 2006
    “…The nonlinear devices such as six pulse converters are modeled as entity objects and inherited from the basic object-oriented power-system device model at fundamental frequency. …”
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  9. 9
    Development of Genetic Algorithms and Multilayer Perceptron Neural Network (Mpnn) Model To Study The Student Performance InThermodynamics

    Development of Genetic Algorithms and Multilayer Perceptron Neural Network (Mpnn) Model To Study The Student Performance InThermodynamics by K., Kadirgama, M. M., Noor, M. S. M., Sani, M. M., Rahman, M. R. M., Rejab

    Published 2009
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  10. 10
    Self-Adaptive Autoreclosing Scheme usingI Artificial Neural Network and Taguchi's Methodology in Extra High Voltage Transmission Systems

    Self-Adaptive Autoreclosing Scheme usingI Artificial Neural Network and Taguchi's Methodology in Extra High Voltage Transmission Systems by Desta, Zahlay Fitiwi

    Published 2009
    “…The fault identification prior to reclosing is based on optimized artificial neural network associated with three training algorithms, namely, Standard Error Back-Propagation, Levenberg Marquardt and Resilient Back-Propagation algorithms. …”
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  11. 11
    Preliminary framework of topology control algorithm in WSN to achieve node's energy efficiency

    Preliminary framework of topology control algorithm in WSN to achieve node's energy efficiency by Shahabuddin, M.Z., Hasbullah, H., Aziz, I.A.

    Published 2016
    “…The objective of this paper is to propose fundamental modelling of topology control algorithm to conserve individual WSN node's energy, and at the same time preserving the graph connectivity. …”
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  12. 12
    Constraint preserving mapping algorithm for XML storage

    Constraint preserving mapping algorithm for XML storage by Ahmad, Kamsuriah, Mamat, Ali, Ibrahim, Hamidah, Mohd Noah, Shahrul Azman

    Published 2006
    “…Most of application data are stored in relational databases due to its popularity and rich development experiences over it. Therefore, how to provide a proper mapping approach from XML model to relational model becomes the major research problem. …”
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  13. 13
    Mathematical modeling and hybrid heuristic for unequal size facility layout problem

    Mathematical modeling and hybrid heuristic for unequal size facility layout problem by Nordin, Nurul Nadia, Zainuddin, Zaitul Marlizawati, Salim, Sutinah, Ponnusamy, Raja Rajeswari

    Published 2009
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  14. 14
    Autoreclosure in Extra High Voltage Lines using Taguchi’s Method and Optimized Neural Networks

    Autoreclosure in Extra High Voltage Lines using Taguchi’s Method and Optimized Neural Networks by Desta, Zahlay F., K.S., Ramarao, Taj, Mohammed Baloch

    Published 2008
    “…The developed algorithm is effectively trained, verified and validated with a set of training, dedicated testing and validation data respectively.…”
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  15. 15
    Autoreclosure in Extra High Voltage Lines using Taguchi's Method and Optimized Neural Networks

    Autoreclosure in Extra High Voltage Lines using Taguchi's Method and Optimized Neural Networks by Desta, Zahlay F., K.S., Rama Rao

    Published 2009
    “…The algorithms are developed using MATLAB software. A range of faults are simulated on EHV modeled transmission line using SimPowerSytems, and the spectra of the fault data are analyzed using fast Fourier transform to extract features of each type of fault. …”
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  16. 16
    Development of Digital Image Processing Algorithms via FPGA Implementation

    Development of Digital Image Processing Algorithms via FPGA Implementation by Shamsiah, Suhaili, Joyce, Huong Shing Yii, Asrani, Lit, Kuryati, Kipli, Maimun, Huja Husin, Mohamad Faizrizwan, Mohd Sabri, Norhuzaimin, Julai

    Published 2024
    “…Platforms such as ModelSim Altera and Intel Quartus II are used to write Verilog HDL for digital image processing algorithms. …”
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  17. 17
    Image quality assessment using Elman neural network model

    Image quality assessment using Elman neural network model by Paulraj, Murugesa Pandiyan, Assoc. Prof. Dr., Palaniappan, Rajkumar, Mohd Shuhanaz, Zanar Azalan

    Published 2012
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  18. 18
    Model Identification Using Neuro-Fuzzy Approach

    Model Identification Using Neuro-Fuzzy Approach by Lemma, T.A.

    Published 2018
    “…This chapter contains the discussion on fundamental concepts related to nonlinear model identification. …”
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  19. 19
    Model Identification Using Neuro-Fuzzy Approach

    Model Identification Using Neuro-Fuzzy Approach by Lemma, T.A.

    Published 2018
    “…This chapter contains the discussion on fundamental concepts related to nonlinear model identification. …”
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  20. 20
    Improvement real-time detection of moving vehicle in a dynamic scene using shadow removal method / Khairul Azman Ahmad, Mohd Halim Mohd Noor,Mohamad Adha Mohamad Idin

    Improvement real-time detection of moving vehicle in a dynamic scene using shadow removal method / Khairul Azman Ahmad, Mohd Halim Mohd Noor,Mohamad Adha Mohamad Idin by Ahmad, Khairul Azman, Mohd Noor, Mohd Halim, Mohamad Idin, Mohamad Adha

    Published 2011
    “…A common approach is to perform background subtraction, which identifies moving objects from the portion of a video frame that differs significantly form a background model. There are many challenges in developing a good background subtraction algorithm. …”
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