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Engineering, Science, & Technology

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Variable selection plays a major role in multivariate high-dimensional statistical modeling. Hence, we need to select a consistent model, which avoids overfitting in prediction, enhances model interpretability and identifies relevant variables. We explore various continuous, nearly unbiased, sparse and accurate technique of linear model... READ MORE
In this study, NiSi has been formed as the contact for copper front metallization on laboratory silicon solar cells. Transfer length method (TLM) measurements were used to examine the resistive nature of the contact. The scalability of the measurement itself was also examined. Characterization... READ MORE
With the emergence of Internet of Things and information revolution, the demand of high performance computing systems is increasing. The copper interconnects inside the computing chips have evolved into a sophisticated network of interconnects known as Network on Chip (NoC) comprising of routers, switches,... READ MORE
In this work, a model-free sliding mode control technique for linear and nonlinear uncertain multi-input multi-output systems is proposed. The developed method does not require a mathematical model of the dynamic system. Instead, knowledge of the system’s order, state measurements, and control input gain matrix... READ MORE
This paper addresses the problems of dispatching multiple-load automated guided vehicles (AGVs) in flexible manufacturing systems (FMSs). A pickup-or-delivery-en-route (PDER) rule is proposed to address the task-determination problem that indicates if a partially loaded AGV’s next task should be picking up a new job or... READ MORE
As per Moore’s law, continuous improvement over silicon process technologies has made the integration of hundreds of cores on to a single chip possible. This has resulted in the paradigm shift towards multicore and many-core chips where, hundreds of cores can be integrated on... READ MORE
Rapid colonization by invasive plants can lead to failures of wetland restoration, particularly in forested wetlands where mature plant communities are slow to develop. To develop more effective methods for reducing the spread of invasive plants, I tested the hypothesis that planting native shrubs... READ MORE
Polarization is an intrinsic property of light, like frequency or coherence. Humans have long benefited from our ability to distinguish light of different frequency based on its color. However, our eyes are not sensitive to the polarization of light. Devices to measure polarization are... READ MORE
Coplanar Waveguide Ferromagnetic Resonance Spectroscopy (CPW-FMR) was used to investigate the spin dynamics of the thin film multilayers Py/Ir vs. Py/Cu/Ir. The properties of both sample sets were evaluated as a function of the Ir thickness. The gyromagnetic ratio, 𝛾, is found to be... READ MORE
When attempting to read malicious network traffic, security analysts are challenged to determine what attacks are happening in the network at any given time. This need to analyze data and attempt to classify the data requires a large amount of manual time and knowledge... READ MORE
Binary responses are routinely observed in practice whether it is medicine, geology, defense or day to day life situations. Logistic regression methods can be used to capture the binary responses. Modeling becomes critical when there is sensitivity analysis involved, and the selection of the settings... READ MORE
Integrated circuits and microprocessor chips have become integral part of our everyday life to such an extent that it is difficult to imagine a system related to consumer electronics, health care, public transportation, household application without these small components. The heart of these circuits... READ MORE
Recent developments in topic modeling for text corpora have incorporated Markov models in the latent space to better learn contextual content. Known as the Hidden Topic Markov Model (HTMM), this natural extension of probabilistic mixture models relaxes the "bag-of-words" assumption of the foundational latent... READ MORE
Logistic regression is a valuable statistical tool used to model the probability of a binary response variable as a function of one or more input variables. The goal of this thesis research is to develop a better understanding of how the coefficients of a logistic... READ MORE
Space borne thermal infrared sensors have been extensively used for environmental research as well as cross-calibration of other thermal sensing systems. Thermal infrared data from satellites such as Landsat and Terra/MODIS have limited temporal resolution (with a repeat cycle of 1 to 2 days for... READ MORE