Search Results - (( model equation modified algorithm ) OR ( time simulation based algorithm ))*
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Parallel algorithms for numerical simulations of EHD ion-drag micropump on distributed parallel computing systems
Published 2014“…The results showed that the parallel algorithms for EHD simulations may provide 4 to 5 times more speedup over sequential algorithm for large grid sizes. …”
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Thesis -
2
An FPGA implementation of exp-bet scheduling algorithm in LTE networks / Yusmardiah Yusuf
Published 2017“…The design using Simulink and System generator can greatly reduce the process cycle from the algorithm to hardware. The metric equation of the EXP-BET algorithm is modelled and simulated using the MATLAB Simulink environment and System Generator tool provided by Xilinx. …”
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3
Mathematical modelling of mass transfer in a multi-stage rotating disc contactor column
Published 2005“…Based on this formulation, a Mass Transfer of A Single Drop (MTASD) Algorithm was designed, followed by a more realistic Mass Transfer of Multiple Drops (MTMD) Algorithm which was later refined to become another algorithm named the Mass Transfer Steady State (MTSS) Algorithm. …”
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4
Some numerical methods for temperature and mass transfer simulation on the dehydration of herbs
Published 2010“…The contribution of this study is a flourishing and modified mathematical simulation in representing the concrete process of dehydration in herbs product based industry. …”
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Integrated attitude determination and control system via magnetic measurements and actuation only
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Proceeding Paper -
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A study of the heat transfer in hydrogen fueled internal combustion engine
Published 2012“…A one-dimensional model was developed based on the gas dynamic and heat-transfer concepts for characterizing the time-averaged heat-transfer. …”
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7
Development Of Distributed Grid-Based Hydrological Model And Floodplain Inundation Management System
Published 2008“…The simulation algorithms of the rainfall-runoff model have operated on grid bases compatible with the MATLAB programming language, which has been used to write instructions to many grid-based operations. …”
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Dynamic two phase modelling and anfis-based control of ethylene copolymerization in catalytic Fluidized Bed Reactor / Mohammad Reza Abbasi
Published 2019“…In this study, a modified dynamic model for ethylene co-polymerization in an industrial fluidized-bed reactor (FBR) is developed to describe its behavior and calculate the polymer properties. …”
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9
New Quasi-Newton Equation And Method Via Higher Order Tensor Models
Published 2010“…The efficiency of the usual QN methods is improved by accelerating the performance of the algorithms without causing more storage demand. The presented equation allows the modification of several algorithms involving QN equations for practical optimization that possess superior convergence prop- erty. …”
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10
Standard equations for predicting the discharge coefficient of a modified high-performance side weir
Published 2017“…The results obtained by our simple standard equations optimized by the PSO algorithm were compared with those of complex nonlinear regression equations, and our equations were more accurate in modeling the discharge coefficient. …”
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Structural Equation Modeling Algorithm and Its Application in Business Analytics
Published 2017“…Structural Equation Modeling (SEM) is a statistical-based multivariate modeling methods, Application of SEM is similar but more powerful than regression analysis; and number of scientists using SEM in their research is rupidly inereasing. …”
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Book Chapter -
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Parallel Implementation of Two Level Barotropic Models Applied to the Weather Prediction Problem
Published 2004“…In relation to the conformal map, the quasigeostrophic equations are modified by using a formula. These equations are then transformed into finite difference equation. …”
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14
Stochastic And Modified Sequent Peak Algorithm For Reservoir Planning Analysis Considering Performance Indices
Published 2016“…In the next stage, the modified Sequent Peak Algorithm (SPA) is employed for the Storage-yield planning analysis of reservoir systems at different demands, reliability and vulnerability performance metrics employing the synthetic streamflow data. …”
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15
Field data-based mathematical modeling by Bode equations and vector fitting algorithm for renewable energy applications
Published 2018“…This paper proposes a new modified methodology presented as a parametric technique to determine the system’s modeling equations based on the Bode plot equations and the vector fitting (VF) algorithm by fitting the experimental data points. …”
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Variational model with image denoising fitting term for boundary extraction of breast ultrasound images
Published 2023“…Consideration of four distinct image Denoising algorithms—Gaussian filter, Median filter, Wiener filter, and Rudin-OsherFatemi (ROF) algorithm—as the new fitting terms in the CDSS model leads to four variants of modified CDSS models called Modified CDSS based on Gaussian filter (MCDSSG), Modified CDSS based on Median filter (MCDSSM), Modified CDSS based on Wiener filter (MCDSSW) and Modified CDSS based on ROF (MCDSSROF). …”
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Parameter extraction of single, double, and three diodes photovoltaic model based on guaranteed convergence arithmetic optimization algorithm and modified third order Newton Raphso...
Published 2022“…Therefore, this study seeks to first explore the acquired approaches to solve the equations of PV models. Then, utilizing actual measured laboratory data collected under a variety of environmental circumstances, a hybrid approach for efficiently determining unknown the parameters of the single, double, and three diodes PV model has been developed. …”
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Wastewater treatment process: a modified model for oxidation pond
Published 2021“…A modified model comprising of a set of ordinary differential equations (ODE) is proposed by incorporating Monod equation for COD. …”
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Thesis -
20
Modification of the CREAMS Nutrient submodel
Published 2011“…The CREAMS nutrient submodel was modified to improve the prediction, of the nitrogen loss from a flat agricultural field with a fluctuating water table.The CREAMS nutrient submodal was modified by incorporating a water function in the CREAMS denitrification algorithm.The capability of the CREAMS nutrient submodel and modified CREAMS nutrient submodel in predicting nitrogen loss was evaluated by using linear regression analysis, t-test on the slope and intercept of the regression equation, standard deviation of differences, absolute average differences, and percent error.Observed data from an experimental plot near Baton Rouge, Louisiana, USA were used in this study.The modified model underestimated the total nitrogen losses by 2% compared to 35% overestimation by the CREAMS model.Overall performance of the modified model in predicting nitrogen losses was satisfactory.…”
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