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2020-03-31
Samuel M. Fischer, Mark A. Lewis
Profile likelihood confidence intervals are a robust alternative toWald’s method if the asymptotic properties of the maximum likelihood estimator are not met. However, the constrained optimization problem defining profile likelihood confidence intervals can be difficult to solve in these...
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CFD Modelling of Bioprocesses: Integrating Mechanical Mixing, Aeration and Dynamic Rheology
DownloadFall 2021
Sadino Riquelme, Maria Constanza
Bioprocesses currently have a huge importance in worldwide sustainable development. However, the design of bioreactors based on experimental and empirical knowledge poses a challenge for the industrial biotechnology. Thus, CFD has gained attention as a design tool. Although CFD modelling has...
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Spring 2011
One of heavy oils upgrading processes is hydroconversion. As it is a complex process involving many chemical reactions, the mathematical model of hydroconversion process often has more kinetic parameters than can be estimated from the data. In this thesis, a model for hydroconversion processing...
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Spring 2013
Parameter estimation of a dynamic system is an important task in process systems engineering. The utilization of an augmented system offers the approach of estimating process states and parameters simultaneously. In practice, the parameters often satisfy certain constraints which should be...
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Fall 2011
Computer modeling is critical for catalyst layer (CL) design in polymer electrolyte membrane fuel cells. Water-filled and ionomer-filled agglomerate models have been suggested as representations of the CL microstructure. In this thesis, improved water-filled and ionomer-filled agglomerate models...
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2003
Kouritzin, Michael, Ma, Xinjian, Long, Hongwei, Sun, Wei
Nonlinear filtering is an important and effective tool for handling estimation of signals when observations are incomplete, distorted, and corrupted. Quite often in real world applications, the signals to be estimated contain unknown parameters which need to be determined. Herein, we develop and...
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Parameter Estimation of Mathematical Models: Estimation of the Burden of HIV Epidemics as a Case Study
DownloadFall 2016
Mathematical models are widely used to describe dynamics in various fields. In practice, it is necessary and important to determine model parameters based on existing data. A major challenge for parameter estimation under modeling framework lies in non-identifiability issue: parameter values on a...
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Fall 2009
Natural attenuation refers to the observed reduction in contaminant concentration via natural processes as contaminants migrate from the source into environmental media. Assessment of the dimensions of contaminant plumes and prediction of their fate requires predictions of the rate of dissolution...
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Fall 2019
Measurements in the process industry can arrive with fast or slow sampling rates. Fast measurements such as flowrate and temperature are sampled frequently and are obtained instantly after sampling. The slow measurements, which are usually related with chemical quality variables such as product...