Search Results - (( program implementation function algorithm ) OR ( _ application model algorithm ))
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1
Implementation of repetitive control algorithm in reducing vibration using MATLAB/SIMULINK / Mohamad Zuhairy Mohamed
Published 2008“…As a new result it is in fact shown that the algorithm iteratively solves a Model Predictive Control related cost function. …”
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Student Project -
2
Logic Programming In Radial Basis Function Neural Networks
Published 2013“…The first technique is to encode the logic programming in radial basis function neural networks. …”
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Thesis -
3
Projecting image on non-planar surface with zero-th order geometric continuity using simple dual-linear function and manipulation of strict integer implementation in programming la...
Published 2015“…Usage of a projection system to display large screen images is still relevant in the midst of LED-based display increasing popularity.This is due to that the system itself is a mature technology, reliable and cheaper than the LED counterpart.While various methods had addressed the projection problems on curve surface, projecting image on jagged like surface (zero order geometric continuity) has yet to be studied in depth.This paper proposes a method for projecting image on non-planar surface with zero-order geometric continuity property using parametric modeling.The method manipulate linear function by combining two functions into one by taking advantage of computer programs strict implementation of integer variables.The method was applied to grid-based texturing algorithm in order to create the desired zero-continuity effect on the surface.The method was compared with texturing that implement existing curve algorithm to project image on the screen.Visual evaluation results showed that the proposed method fared better compared to existing curve-based projection algorithm.…”
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Conference or Workshop Item -
4
Enhancement of Ant System Algorithm for Course Timetabling Problem
Published 2009“…In order to develop a new algorithm for the course scheduling problem, this research follows the experimental research methodology that consist of problem analysis, designing algorithm, implementing algorithm as a computer program in order to examine the results, analyzing the results, and if necessary improving the algorithm by doing all those activities over and over again. …”
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Thesis -
5
Development of decentralized data fusion algorithm with optimized kalman filter.
Published 2016“…The model collaborates data fusion technology with algorithm engineering domain, accordingly data fusion algorithm is optimized using sophisticated technique such as functional programming to reduce the processing delay and memory usage. …”
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6
Neural network modeling and optimization for spray-drying coconut milk using genetic algorithm and particle swarm optimization
Published 2022“…Integration of global search algorithm into ANN model further improved the model performance. …”
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7
Designing and implementation of robot mapping algorithm for mobile robot
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Proceeding Paper -
8
Case driven TLC model checker analysis in energy scenario
Published 2023“…Addressing current situation in Ukraine, an energy domain is among the topical spheres, where safety critical business processes take place. To foster the functional safety of corresponding program-algorithmic solutions, the model checking techniques and related tools are applied to the formal specifications of named solutions. …”
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Conference or Workshop Item -
9
The Determination of Pile Capacity Using Artificial Neural-net: An Optimization Approach
Published 2001“…The proposed technique concludes improved efficiency over the conventional method of commissioning the functional formula of the weights by exploiting the structural properties of the matrices appeared in the codification of the service load to a single pile problem as a quadratic zero-one optimization program. …”
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Article -
10
SYSTEMATIC DESIGN OF SIMPLY STRUCTURED COMPENSATOR
Published 2005“…By implementing Nyquist Stability Criterion's tuning algorithm with Neural Network, this will definitely enhance the process of tuning the PID controller. …”
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Final Year Project -
11
Maximum 2-satisfiability in radial basis function neural network
Published 2020“…This paper presents a new paradigm in using MAX2SAT by implementing in Radial Basis Function Neural Network (RBFNN). …”
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Article -
12
Reactive power imbalance method for islanding detection in micro-grid operation
Published 2014“…As the result, the performance of the Reactive Power Imbalance method for the islanding detection state is compared with the simulation model without control algorithm. Finally, the micro-grid model capability with control algorithm is shown in order to meet the load demand.…”
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Article -
13
Optimization Of Fuzzy Logic Controllers With Genetic Algorithm For Two-Part-Type And Re-Entrant Production Systems
Published 2008“…Furthermore, genetic algorithm (GA) has been used to optimize the FLCs performance. …”
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Thesis -
14
Asset liability management model: The case of selected Islamic banks in Malaysia / Chong Hui Ling
Published 2017“…The multi-faceted objectives consist of the bank‟s expected returns and risks tolerance with constraints (also known as restraining functions to reflect the limitations placed on the Islamic bank‟s operating requirements), established using computational mathematics and algorithms with the aid of the MATLAB programming software. …”
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15
Modified ant colony optimization algorithms for deterministic and stochastic inventory routing problems / Lily Wong
Published 2018“…The computational results show that the algorithms which implement this new formulation are able to produce better solutions. …”
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Thesis -
16
Development of a multi-objective optimization model for transport and environment in a closed-loop automotive supply chain
Published 2014“…The Multiobjective GSA (MOGSA) algorithm is adopted and then programmed using MATLAB software particularly to the MOACLSC. …”
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17
Discrete-time system identification using genetic algorithm with single parent-based mating technique
Published 2024“…In these cases, the SPM technique consistently outperformed traditional GA, demonstrating improved model fit and predictive accuracy. Rigorous validation tests, including autocorrelation and cross-correlation functions, confirmed the reliability and robustness of these models. …”
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18
Monitoring and prediction of bearing failure by acoustic emission and neural network
Published 2005“…In the development of ANN modeling, the result obtained shows that the optimum model was Elman network with training algorithm. …”
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Thesis -
19
Monitoring and Control of Pressure in a Gas Plant via PID plus Feedforward Controller
Published 2009“…The controller is observed to see how well a variable can be manipulated and controlled in real-time implementation. However, it is well known that the performances of these controllers much depend on the appropriate implementation of additional functionalities such as anti-windup and feedforward, for example, in addition to the tuning of PID parameters. …”
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Final Year Project -
20
Design And Development Of Gas Argon Purging System
Published 2006“…A method is proposed to estimate the accuracy of the system by implementing PI algorithm. Two MatLab simulation results are given on stable first second order and third order plus unity feedback transfer function models. …”
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