Circular air-coupled ultrasonic testing (ACUT) setup for the inspection of commercial carbon-carbon composite aircraft brake disks was developed in Intelligent Measurement and Evaluation Laboratory (IMEL) at Southern Illinois University Carbondale (SIUC). The developed test setu…
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Although Black-Scholes (BS) model was a major breakthrough in the theory of finance it exhibited significant, persistent, and systematic biases due to some of its simplified assumptions. Consequently, several parametric models have been developed where some of the BS's simplifie…
The purpose of this study is to compare the performance of the Ordinal Logistic Regression (OLR) and Artificial Neural Network (ANN) models when analyzing ordinal data using different scenarios by varying the combinations of the marginal probability distributions and correlation…
Developing a landfill model is essential to understanding how the landfill gases are generated, and migrate. In this Thesis, four different aspects of landfill modeling are studied, in order to design a realistic model for a landfill, and an efficient landfill numerical simulato…
A model for estimating travel time on short arterial links of congested urban networks, using currently available technology, is introduced in this thesis. The objective is to estimate travel time, with an acceptable level of accuracy for real-life traffic problems, such as cong…
Most transportation agencies in the U.S. are facing the challenge of fixing the aging transportation infrastructures with insufficient budget. Pavements and bridges are the two major components of transportation infrastructures. Bridges in very poor condition could become unsafe…
In 2020, COVID-19 became the first pandemic in the world’s history that brought the entire world to an abrupt and unexpected halt. Since the first reported case of the disease to date, the novel coronavirus has been able to wreak havoc in literary every corner of the globe and l…
The desire to forecast or to guess what the future entails is part of human nature. Businesses cannot operate without estimating future demand for their products or services. The problem is that forecasts often fail to meet leadership expectations who desire obtaining the most a…
Artificial neural networks (ANNs) have been used successfully in various practical problems. Though extensive improvements on different types of ANNs have been made to improve their performance, each ANN design still experiences its own limitations. The existing digital human mo…
The characterization and modeling of the spatial variability of soil moisture is an important problem for various hydrological, ecological, and atmospheric processes. A compact representation of interdependencies among soil moisture distribution, mean soil moisture, soil propert…
Stochastic approximation is concerned with characterisation of the long term behaviour of recursive random algorithms. For example, does the algorithm converge to a unique fixed point, for all initial points? This problem is well-understood, via the Kushner-Clark theorem, only i…
This study presents a new approach for nonlinear multi-scale constitutive models using artificial neural networks (ANNs). Three ANN classes are proposed to characterize the nonlinear multi-axial stress-strain behavior of metallic, polymeric, and fiber reinforced polymeric (FRP) …
Many transit agencies are interested in employing transit signal priority (TSP) at signalized intersections in urban areas to reduce travel time and achieve other operational benefits. However, state-of-the-art systems do not consider the influence of bus dwelling activities at …
The emergency department (ED) provides medical care to a variety of patients with different ailments, acuity levels and various "chief complaints". While most ED patients are discharged after receiving treatment, some will be admitted to the hospital's units. The objective of th…