Engineering Commons^™

Tracking Rhythmicity In Biomedical Signals Using Sequential Monte Carlo Methods, Sungan Kim

Dissertations and Theses

Cyclical patterns are common in signals that originate from natural systems such as the human body and man-made machinery. Often these cyclical patterns are not perfectly periodic. In that case, the signals are called pseudo-periodic or quasi-periodic and can be modeled as a sum of time-varying sinusoids, whose frequencies, phases, and amplitudes change slowly over time. Each time-varying sinusoid represents an individual rhythmical component, called a partial, that can be characterized by three parameters: frequency, phase, and amplitude. Quasi-periodic signals often contain multiple partials that are harmonically related. In that case, the frequencies of other partials become exact integer multiples …

Simulation Of Insb Devices Using Drift-Diffusion Equations, Edin Sijercic

Dissertations and Theses

Silicon technology has for several decades followed Moore's law. Reduction of feature dimensions has resulted in constant increase in device density which has enabled increased functionality. Simultaneously, performance, such as circuit speed, has been improving. Recently, this trend is in jeopardy due to, for example, unsustainable increase in the processor power dissipation. In order to continue development trends, as outlined in ITRS roadmap, new approaches seem to be required once feature size reaches 10 - 20 nm range.

This research focuses on using 111-V compounds, specifically indiumantimonide (lnSb), to supplement silicon CMOS technology. Due to its low bandgap and high …

Fabrication Of Anisotropic Nanostructures On Solid Substrates For Applications As Optically Active Surfaces, Mohan Krishna Vattipalli

Dissertations and Theses

Analysis of the vibrational energy levels in molecules using Raman Spectroscopy is a popular analytical method amongst today's optical technologies. Unlike fluorescence microscopy, the Raman emission doesn't undergo the process of photobleaching, which leads to short lived signal collection. The only downside with this approach is the small absorption cross-section resulting in a low intensity of the emission signal. One of the approaches used to boost this weak signal is Surface Enhanced Raman Spectroscopy (SERS). My research efforts have been focused on how to create a novel SERS substrate with aligned patterns of Au/Ag nanoparticle deposited metals of a particular …

Hardiness, Well-Being, And Health: A Meta-Analytic Summary Of Three Decades Of Research, Celina Marie Oliver

Dissertations and Theses

In recent decades, as scientific understanding regarding the effects of stress on health and well-being has grown, researchers have shown increasing interest in personal factors such as hardiness that may enhance one's ability to remain resilient under stressful conditions. Hardiness is a complex trait composed of three components (commitment, control, and challenge) that combine synergistically to increase stress tolerance. Over time, a large and complex body of research has accumulated, and while many qualitative reviews have been conducted, quantitative summaries remain rare. This study provides an empirical synthesis of research findings examining the relationships between hardiness and correlates related to …

A Systematic Approach To Developing National Technology Policy And Strategy For Emerging Technologies, Pisek Gerdsri

Dissertations and Theses

As the pace of global competition increases, a country's competitiveness becomes of greater concern. Technology drives competitiveness and is a crucial factor for economic development in developed and developing economies. This poses a need for governments to be involved in supporting technology research and development in their countries. A government must not only provide support when an emerging technology is being considered, it should also nurture and guide its development. The effective national technology policies and strategies should go beyond merely identifying the critical technologies.

This research has developed a systematic and comprehensive approach for policy makers to strategically define …

Modeling Subprime Mortgage Delinquency, Default, Prepayment And Loss, Olgay Cangur

Dissertations and Theses

The current financial environment presents significant challenges for the mortgage industry. Declining house prices have surfaced the importance of delinquency, loan default and loss predictions. Simple models of prepayment behavior are no longer applicable. Investors, originators, servicers and regulators are in need of more accurate predictions for their portfolios of interest.

This dissertation focuses on two topics relevant to modeling residential mortgages. The first topic provides a framework for modeling delinquencies, prepayments, defaults and losses that represents an enhancement over previous studies. A total of nine loan payment statuses are used (current, thirty-days delinquent, sixty-days delinquent, ninety-days delinquent, early foreclosure, …

Determinants Of Cross Organizational Software Project Success, And Ozbay

Dissertations and Theses

The importance of software development (SWD) has been rapidly increasing over the past few decades. As this industry has grown, there has been an increasing deployment of cross organizational (C/O) SWD (also called distributed development or global software development) projects. These C/O SWD projects have adversely impacted the already low success rates of SWD projects. Methods to address problems of C/O SWD projects are not available to SWD managers primarily because challenges that underlie C/O SWD are incompletely understood.

This dissertation explored the problems associated with C/O SWD in real-life contexts. Inductive case study research methods and grounded theory were …

Programmer Friendly Refactoring Tools, Emerson Murphy-Hill

Dissertations and Theses

Tools that perform semi-automated refactoring are currently under-utilized by programmers. If more programmers adopted refactoring tools, software projects could make enormous productivity gains. However, as more advanced refactoring tools are designed, a great chasm widens between how the tools must be used and how programmers want to use them. This dissertation begins to bridge this chasm by exposing usability guidelines to direct the design of the next generation of programmer-friendly refactoring tools, so that refactoring tools fit the way programmers behave, not vice-versa.

Computational Techniques For Reducing Spectra Of The Giant Planets In Our Solar System, Holly L. Grimes

Dissertations and Theses

The dynamic atmospheres of Jupiter, Saturn, Uranus, and Neptune provide a rich source of meteorological phenomena for scientists to study. To investigate these planets, scientists obtain spectral images of these bodies using various instruments including the Cooled Mid-Infrared Camera and Spectrometer (COMICS) at the Subaru Telescope Facility at Mauna Kea, Hawaii. These spectral images are two-dimensional arrays of double precision floating point values that have been read from a detector array. Such images must be reduced before the information they contain can be analyzed. The reduction process for spectral images from COMICS involves several steps:

1. Sky subtraction: the …

Quantum Inductive Learning And Quantum Logic Synthesis, Martin Lukac

Dissertations and Theses

Since Quantum Computer is almost realizable on large scale and Quantum Technology is one of the main solutions to the Moore Limit, Quantum Logic Synthesis (QLS) has become a required theory and tool for designing Quantum Logic Circuits. However, despite its growth, there is no any unified aproach to QLS as Quantum Computing is still being discovered and novel applications are being identified.

The intent of this study is to experimentally explore principles of Quantum Logic Synthesis and its applications to Inductive Machine Learning. Based on algorithmic approach, I first design a Genetic Algorithm for Quantum Logic Synthesis that is …

Classical Search And Quantum Search Algorithms For Synthesis Of Quantum Circuits And Optimization Of Quantum Oracles, Sazzad Hossain

Dissertations and Theses

We observe an enormous increase in the computational power of digital computers. This was due to the revolution in manufacturing processes and controlling semiconductor structures on submicron scale, ultimately leading to the control of individual atoms. Eventually, the classical electric circuits encountered the barrier of quantum mechanics and its effects. However, the laws of quantum mechanics can be also used to produce computational devices that lead to extraordinary speed increases over classical computers. Thus quantum computing becomes a very promising and attractive research area. The Computer Aided Design for Quantum circuits becomes an essential ingredient for such emerging research which …

Graphical User Interfaces As Updatable Views, James Felger Terwilliger

Dissertations and Theses

In contrast to a traditional setting where users express queries against the database schema, we assert that the semantics of data can often be understood by viewing the data in the context of the user interface (UI) of the software tool used to enter the data. That is, we believe that users will understand the data in a database by seeing the labels, dropdown menus, tool tips, help text, control contents, and juxtaposition or arrangement of controls that are built in to the user interface. Our goal is to allow domain experts with little technical skill to understand and query …

Dynamic Task Prediction For An Spmt Architecture Based On Control Independence, Komal Jothi

Dissertations and Theses

Exploiting better performance from computer programs translates to finding more instructions to execute in parallel. Since most general purpose programs are written in an imperatively sequential manner, closely lying instructions are always data dependent, making the designer look far ahead into the program for parallelism. This necessitates wider superscalar processors with larger instruction windows. But superscalars suffer from three key limitations, their inability to scale, sequential fetch bottleneck and high branch misprediction penalty. Recent studies indicate that current superscalars have reached the end of the road and designers will have to look for newer ideas to build computer processors.

Speculative …