Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 255 for “"empirical models"”.
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Empirical models for cyclic voltammograms
… this thesis we investigate a range of empirical models for cyclic voltammograms<br/>with a Bayesian perspective, using data from experiments carried out in the School<br/>of Chemistry, University of Southampton. This work is motivated by the lack of well<br/>formulated mathematical …
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Empirical models of land conservation and land use
… data sets pose challenges for discrete choice models because the data are unlikely to be independently and identically distributed. A conditionally parametric spatial probit model is amenable to very large data sets while imposing far less structure on the data than conventional parametric …
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Integrated empirical models based on a sequential research strategy
… complex systems. This study is used to develop empirical models which describe the functional relationships of many independent variables in the design of a telephone information system. Such a development is based on integrating several data sets using sequential experimentation. Reanalyses of …
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Effect Of Source Water Blending On Copper Release In Pipe Distribution System: Thermodynamic And Empirical Models
… was developed. (2) Theoretical thermodynamic models were developed to predict the copper release level quantitatively based on controlling solid phases identified in part (1). These models are compared to actual data and relative assessment is made of controlling solid phases. (3) Non-linear …
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Development of semi-empirical models to measure mass flow rate of solids in an air seeder
… was chosen as the dependent variable. An earlier empirical model for mass flow measurement was developed prior to this research. But that model was only valid under its test condition and did not provide any insight on the flow mechanism. Hence, this investigation developed models based on …
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Using Mobile Monitoring and Vehicle Emissions to Develop and Validate Machine Learning Empirical Models of Particulate Air Pollution
… data in a variety of locations to develop hourly empirical models of particulate air pollution. This study uses secondary data describing BC and PN pollutant levels, which are obtained from roads that bikers share in the more rural location of Blacksburg (VA). Machine learning (ML) algorithms are …
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Reduced-Order Atmospheric Density Modeling for LEO Satellite Orbital Reentry Prediction
… Earth Orbit (LEO) environment. Current density models can be computationally expensive, and often contain large errors, which make density modeling a leading cause of uncertainty in drag estimation. Reduced-order atmospheric density Models (ROMs) have shown potential to provide good predictive …
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Calibration of empirical, semi-empirical, and physics-based material models for the prediction of creep and tensile behaviour of Alloy 617
Material models are powerful analytical tools for predicting material behaviour under various loading conditions. These models vary in complexity, progressing from empirical models that rely solely on fitting experimental data, to semi-empirical models that incorporate simplified physical concepts, …
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Rain attenuation and depolarization along 10 to 30 GHz earth space links predicted from s-band dual-polarized radar measurements
… data collected along the path. Then, two semi-empirical models are developed which predict attenuation from radar measured reflectivity and differential reflectivity. These two semi-empirical models are used to evaluate FORWP. Finally, attenuation predictions of FORWP are compared to the two …
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Modelling of Wall Pressure Fluctuations Induced by Turbulent Boundary Layer Flow
Semi-empirical models are used to predict the power spectral density of wall pressure fluctuations in the turbulent boundary layer. From the analysis of current semi-empirical models and a large survey of experimental data, it was found that the models proposed by Goody and Smol'yakov have the …
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Geomechanically coupled modelling of fluid flow partitioning in fractured porous media.
… of the governing equations, to develop coupled empirical flow models for fracture and matrix. These empirical models incorporate both flow physics of matrix and fracture, as well as mechanical loading impacts. An analysed multiphase flow scenario demonstrated the compatibility of the coupled …
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Advancing Sustainable Grape Downy Mildew Management: Biopesticide Trials and Risk Assessment System
… between 2022 and 2025 to evaluate two types of models we developed. The mechanistic model, which combined two published empirical models, outperformed the empirical models based on field trial data, achieving 60.3% accuracy in predicting downy mildew incidence, demonstrating its potential to …
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High-latitude coupling processes between thermospheric circulation and solar wind driven magnetospheric currents and plasma convection
… the IMF dependence were compared with global empirical models. The modelling results for the most important thermospheric parameters like neutral wind and mass density were compared with satellite measurements. The variants of the UAM model with IMF dependence show a good agreement with the …
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Chitra: a visualization system to analyze the dynamics of parallel programs
… of program execution sequences, we develop an empirical model, a hybrid stochastic/deterministic model, that describes parallel program behavior. Chitra provides various clues and capabilities that assist in developing an empirical model to fit the observed program behavior. Developing …
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A new age of fuel performance code criteria studied through advanced atomistic simulation techniques
… difficulties are addressed through the use of empirical models rather than models based on first principles. Empirical models can be used as a predictive code through the careful manipulation of input variables for the limited circumstances that are closely tied to the data used to create the …
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Controlling Object Heat Release Rate using Geometrical Features
… theoretical burn rate model as well as from two empirical models were found to correlate the heat release rate results for the crib samples. The heat release rate results of the complex geometries generally correlated to the same porosity factor; however, the model was modified to account for …
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Chinese housing policy: Sociohistorical analysis and policy evaluation
… development. Third, it develops theoretical and empirical models to examine factors affecting housing investment and consumption in a centrally planned economy. The results are used to compare Chinese housing behavior with that of other countries and to evaluate empirically the feasibility of …
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Investigation of NMR properties of gel volume change with magnetic resonance imaging
… is categorized into five diffusion regimes. Two empirical models are proposed, one for the spin echo and the other the gradient echo sequence, to account for the relaxation dependence of such variables as sphere radius R, δω , and diffusion coefficient D in these regimes. The models are verified …
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Hierarchical and interactive parameter refinement for early-stage system design
Though simulation models are extensively used for detailed design analysis, their potential benefits for supporting early-stage design have not yet been harvested. This thesis presents a new design methodology, called Hierarchical and Interactive Decision Refinement (HIDER), which enables detailed …
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