Search Results - (( parameters variation method algorithm ) OR ( parameter validation study algorithm ))

Efficiency improvement of a standalone photovoltaic system using fuzzy-based maximum power point tracking algorithm by Alhamdawee, Ehsan Mohsin Obaid

“…MPPT algorithms can be categorized into classical methods and artificial intelligence-based methods. …”
Get full text
Get full text

Restoration of blurred images using geometric and chebichef moments / Ahlad Kumar by Ahlad, Kumar

“…Once the blur parameters are estimated, image restoration of the proposed method is carried out using split Bregman algorithm. …”
Get full text
Get full text

Arbitrary Lagrangian-Eulerian form of flowfield dependent variation (ALE-ADV) method for moving boundary problems by Zulkafli, Mohd Fadhli

“…Flowfield Dependent Variation (FDV) method is a mixed explicit-implicit numerical scheme that was originally developed to solve complex flow problems through the use of so-called implicitness parameters. …”
Get full text
Get full text

Neural Network Model and Finite Element Simulation of Spring back in Plane-Strain Metallic Beam Bending by Abu Khadra, Fayiz Y. M.

“…To validate the finite element model physical experiments were conducted. A neural network algorithm based on the backpropagation algorithm has been developed. …”
Get full text
Get full text

Scene illumination classification based on histogram quartering of CIE-Y component by Hesamian, Mohammad Hesam

“…In scene illumination estimation dealing with large range of illumination and small variation of it is critical. Those algorithms which performed estimation carrying out lots of calculation that leads in expensive methods in terms of computing resources. …”
Get full text
Get full text

Optimization of Microbial Electrolysis Cell for Sago Mill Wastewater Derived Biohydrogen via Modeling and Artificial Neural Network by Mohamad Afiq, Mohd Asrul

“…Model validity describes the first sub-objective, which is to solve the complexity of the nonlinear interaction of multiple MEC input variables related to the hydrogen production rate response using artificial neural networks (ANN) before validating the mathematical modeling results by comparing experimental data with the predicted substrate concentration profile and hydrogen production rate profile based on the re-estimated input values of the model parameters using single-objective optimization based on the nonlinear convex method using gradient descent algorithm. …”
Get full text
Get full text
Get full text

Evolutionary low frequency steering vibration control towards human spine by Toha, Siti Fauziah

“…PSO falls under the umbrella of evolutionary algorithms which is used to optimise and tune the PID controller parameters (Kp, Ki and Kd) based on a predefined performance index. …”
Get full text
Get full text
Get full text
Get full text
Get full text

Modeling the Nonlinearity of Sea Level Oscillations in the Malaysian Coastal Areas Using Machine Learning Algorithms by Lai V., Ahmed A.N., Malek M.A., Afan H.A., Ibrahim R.K., El-Shafie A., El-Shafie A.

Development an accurate and stable range-free localization scheme for anisotropic wireless sensor networks by Han, Fengrong

“…This study developed an optimized variation of the DV-Hop localization algorithm for anisotropic wireless sensor networks. …”
Get full text
Get full text

Developing individualised therapy for colistin through application of pharmacokinetic model tailored for critically ill Malaysian patients utilizing the HPLC-FLD by Zabidi, Mohd Shafie

“…A novel analytical method is necessary for any pharmacokinetic studies to succeed. …”
Get full text
Get full text

Indirect Rotor Field Oriented Control of Induction Motor With Rotor Time Constant Estimation by Moh'd Radwan, Eyad Moh'd

“…A simple yet effective rotor time constant identification method is presented and used for updating the slip calculator used by the IRFOC algorithms. …”
Get full text
Get full text

Geometrical and dimensional defect evaluation of cold forged AA6061 propeller blade by Abdullah, Ahmad Baharuddin

“…In this work, the effects of design and process parameters, including punch diameter and distance to edge on the formation of defect, were studied using the commercial 2D finite element analysis software DEFORM-2D. …”
Get full text
Get full text

Control of grain drying process using self-tuning quantitative feedback theory by Mansor, Hasmah

“…However, the performance of QFT-based controller deteriorated when the parameters variation exceeded the defined uncertainty range. …”
Get full text
Get full text

The assessment of ambient carbon monoxide concentration levels / Hasmawati Mat Hassan by Mat Hassan, Hasmawati

“…The concentration of air pollutants in the atmosphere has greatly influenced by the meteorological parameters such as wind which is the main parameter for the transport of air pollutants. …”
Get full text
Get full text

Islanding detection in grid-connected photovoltaic distributed generation using inverter DC-Link voltage by Kumo, Mohammed Saidu

“…The aim of this thesis is to study the viability of using the inverter DC-Link voltage as a parameter for passive islanding detection. …”
Get full text
Get full text
Get full text

Stochastic Modelling Of Bioethanol Fermentation By Saccharomyces Cerevisiae Grown In Oil Palm Residues by Samsudin , Mohd Dinie Muhaimin

“…Therefore, a predictability test was carried out using Monte Carlo algorithm. Results showed that consistence bioethanol yield with this study could be expected if the fluctuation of kinetic model parameters is 2.5% or below. …”
Get full text
Get full text

Design of low order quantitative feedback theory and H-infinity-based controllers using particle swarm optimisation for a pneumatic actuator system by Ali, Hazem I.

“…These algorithms are designed to achieve the robustness over a wide range of system parameters change and disturbances. …”
Get full text
Get full text

Hybrid Control of A Quadrotor System Carrying Suspended Payload With Parameter Variations by Amalin Aisya binti Mohd Awi

Voltage Variation Analysis By Using Gabor Transform by Abdullah, Abdul Rahim, Tee, Wei Hown, Yusoff, Mohd Rahimi

“…The parameters extracted can detect the voltage variation signals successfully. …”
Get full text
Get full text
Get full text

Comparison of several improved versions of particle swarm optimizer algorithm for parameter estimation of squirrel-cage induction motors / Mohammad Yazdani-Asrami, Mehran Taghipour... by Gorjikolaie, Mehran Taghipour, Gholamian, S. Asghar

Get full text
Get full text