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Master's Theses

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Evaluating The Efforts Of An Early Head Start Program To Foster Social And Emotional Child And Family Development, Molly Harmon Aug 2018

Evaluating The Efforts Of An Early Head Start Program To Foster Social And Emotional Child And Family Development, Molly Harmon

Master's Theses

Social emotional development has been found to be a key component in a child’s developmental trajectory, as it supports many developmental domains. Low-income children often enter school having experienced low social emotional support due to the many external barriers that often challenge their families’ ability to foster positive social emotional development. The present literature has made it clear that there is an association between a child’s social emotional trajectory, family functioning, and parent-child interactions. Further, home-based intervention and prevention in early childhood is effective in promoting social emotional development. This investigation aims to assess the efforts of a particular Early …


Design And Analysis Of A Parabolic Trough Solar Concentrator, George N. Skouras Aug 2018

Design And Analysis Of A Parabolic Trough Solar Concentrator, George N. Skouras

Master's Theses

A prototype solar desalination system (SODESAL) with a parabolic-trough solar concentrator (PTSC) and evacuated tube was designed and analyzed to determine the solar thermal capabilities for small-scale distillation and energy generation. A proof-of-concept study verified that distillation is possible with the system as designed, however a rupture occurred in the copper heat-pipe heat exchanger due to overheating. The internal temperatures of an aluminum heat transfer fin were measured inside an evacuated tube typically used in solar water heater systems to understand the lateral heat distribution and identify possible causes of the rupture. Solar radiation was measured for both the summer …


Quantifying The Environmental Performance Of A Stream Habitat Improvement Project, Cody Morse Aug 2018

Quantifying The Environmental Performance Of A Stream Habitat Improvement Project, Cody Morse

Master's Theses

River restoration projects are being installed worldwide to rehabilitate degraded river habitat. Many of these projects focus on stream habitat improvement (SHI), and an estimated 60%of the 37,000 projects listed in the National River Restoration Science Synthesis Program focus on SHI for salmon and trout species. These projects frequently lack a sufficient monitoring program or account for the environmental costs associated with SHI. The present study used life cycle assessment (LCA) techniques and topographic effectiveness monitoring to quantify environmental costs on the basis of geomorphic change. This methodology was a novel approach to assessing the cost-benefit relationship of SHI. To …


Gold-Silver Core-Shell Nanoparticle Growth; Studies Towards The Development Of Biosensing Applications, Austin James Ethridge Aug 2018

Gold-Silver Core-Shell Nanoparticle Growth; Studies Towards The Development Of Biosensing Applications, Austin James Ethridge

Master's Theses

Gold and silver nanoparticles have been used since antiquity because of their unique optical properties (Amendola, Pilot, Frasconi, Mrago, & Lati, 2017) . These properties are related to a phenomenon called localized surface plasmon resonance (LSPR), which is the collective oscillation of electrons located within the conduction band of a metal upon excitation by light at a specific frequency (Amendola et al., 2017). The extinction cross section, which defines the amount of incident light scattered or absorbed by a solution, that is related to the LSPR of gold and silver nanoparticles is up to five times greater than those of …


Sequence Stratigraphy Of Campanian-Maastrichtian Strata In Eastern Alabama, David Simmons Aug 2018

Sequence Stratigraphy Of Campanian-Maastrichtian Strata In Eastern Alabama, David Simmons

Master's Theses

Eastern Alabama is an area of interest due to the transition from the Gulf Coastal Plain to the Atlantic Coastal Plain. Coastal Plain investigations have been sparse compared to research conducted in the oil rich areas down dip in the Gulf of Mexico. A sequence stratigraphic framework using the T-R cycle methodology of Embry (2002) has been established by integrating surface and subsurface lithologic data with biostratigraphic zonations into Petra ®. High sedimentation from the ancestral Chattahoochee River and lower relative sea-level formed an additional depositional sequence within the Santonian-Campanian aged Blufftown Formation in eastern Alabama. The sequence is approximately …


Coastal Wetland Dynamics Under Sea-Level Rise And Wetland Restoration In The Northern Gulf Of Mexico Using Bayesian Multilevel Models And A Web Tool, Tyler Hardy Aug 2018

Coastal Wetland Dynamics Under Sea-Level Rise And Wetland Restoration In The Northern Gulf Of Mexico Using Bayesian Multilevel Models And A Web Tool, Tyler Hardy

Master's Theses

There is currently a lack of modeling framework to predict how relative sea-level rise (SLR), combined with restoration activities, affects landscapes of coastal wetlands with uncertainties accounted for at the entire northern Gulf of Mexico (NGOM). I developed such a modeling framework – Bayesian multi-level models to study the spatial pattern of wetland loss in the NGOM, driven by relative RSLR, vegetation productivity, tidal range, coastal slope, and wave height – all interacting with river-borne sediment availability, indicated by hydrological regimes. These interactions have not been comprehensively investigated before. I further modified this model to assess the efficacy of restoration …


A System For Conducting Laser-Induced Fluorescence Measurements On Gas Mixtures Exposed To Alpha Radiation, Patrick Ables Aug 2018

A System For Conducting Laser-Induced Fluorescence Measurements On Gas Mixtures Exposed To Alpha Radiation, Patrick Ables

Master's Theses

This paper documents modifications to an existing vacuum system to allow laser-induced fluorescence spectroscopy measurements within simulated atmospheres under a variety of conditions. This added capability will expand the laboratory’s ability to experimentally validate a computational model that calculates the effects of radiation within the atmosphere. The computational model could reveal radiation-induced chemical products that can be used to develop an alternative detection method that can be implemented from a safe distance. The selection of molecules for experimental validation has been limited to those which can be detected utilizing cavity ringdown spectroscopy. The current model indicates nitric oxide and ozone …


Asic Design Of Rf Energy Harvester Using 0.13um Cmos Technology, Jainish K. Zaveri Aug 2018

Asic Design Of Rf Energy Harvester Using 0.13um Cmos Technology, Jainish K. Zaveri

Master's Theses

Recent advances in wireless sensor nodes, data acquisition devices, wearable and implantable medical devices have paved way for low power (sub 50uW) devices. These devices generally use small solid state or thin film batteries for power supply which need replacement or need to be removed for charging. RF energy harvesting technology can be used to charge these batteries without the need to remove the battery from the device, thus providing a sustainable power supply. In other cases, a battery can become unnecessary altogether. This enables us to deploy wireless network nodes in places where regular physical access to the nodes …


Iris Biometric Identification Using Artificial Neural Networks, Kevin Joseph Haskett Aug 2018

Iris Biometric Identification Using Artificial Neural Networks, Kevin Joseph Haskett

Master's Theses

A biometric method is a more secure way of personal identification than passwords. This thesis examines the iris as a personal identifier with the use of neural networks as the classifier. A comparison of different feature extraction methods that include the Fourier transform, discrete cosine transform, the eigen analysis method, and the wavelet transform, is performed. The robustness of each method, with respect to distortion and noise, is also studied.


The Development And Validation Of Sinatra: A Three-Dimensional Direct Simulation Monte Carlo (Dsmc) Code Written In Object-Oriented C++ And Performed On Cartesian Grids, David Matthew Galvez Aug 2018

The Development And Validation Of Sinatra: A Three-Dimensional Direct Simulation Monte Carlo (Dsmc) Code Written In Object-Oriented C++ And Performed On Cartesian Grids, David Matthew Galvez

Master's Theses

The field of Computational Fluid Dynamics (CFD) primarily involves the approximation of the Navier-Stokes equations. However, these equations are only valid when the flow is considered continuous such that molecular interactions are abundant and predictable. The Knudsen number, $Kn$, which is defined as the ratio of the flow's mean free path, $\lambda$, to some characteristic length, $L$, quantifies the continuity of any flow, and when this parameter is large enough, alternative methods must be employed to simulate gases. The Direct Simulation Monte Carlo (DSMC) method is one which simulates rarefied gas flows by directly simulating the particles that compose the …


Hydraulic Sheet Resistance In Paper­-Based Porous Media, Stefan Myles Doser Jun 2018

Hydraulic Sheet Resistance In Paper­-Based Porous Media, Stefan Myles Doser

Master's Theses

This work investigates the special case of in­-plane fluid flow of a Newtonian incompressible fluid across a thin paper-­based porous medium at very low Reynolds numbers (Re ≪ 1). Fluid transport with these characteristics is used in emerging devices such as microscale paper­based analytical devices (μPADs). The mathematical similarity between Darcy’s law and Ohm’s law is considered, and hydraulic equivalents of current, voltage and resistance are determined to propose hydraulic sheet resistance. Darcy flow is predicted under these conditions and tested by experiment at two flow rates of 5 μL/min and 10 μL/min. A device was designed and fabricated to …


Biophysical Approaches For Studying Desolvation Energy In Dna:Dna Binding Systems, Caroline Rose Harmon Jun 2018

Biophysical Approaches For Studying Desolvation Energy In Dna:Dna Binding Systems, Caroline Rose Harmon

Master's Theses

Hydration spheres have unique water behavior compared to the disorder of the bulk water phase. These hydration spheres have been shown to be crucial for structural and conformational stability, yet their effect on binding association has been largely mistreated. For a one-to-one binding system, we propose to append the classical Gibbs-free energy equation as follows: ΔG^0=-RT ln⁡(K_i )-[AB]ΔG_i^(H_2 O). Having a stronger grasp on how desolvation energy affects binding will ultimately aid studies from drug development and metabolism, to interpretation of structural models. To test our equation, we studied two small oligonucleotides that follow Watson-Crick base pairing using two different …


Effects Of A Preschool Arts Curriculum On Social And Emotional Competence, Sarah Rose Henderson Jun 2018

Effects Of A Preschool Arts Curriculum On Social And Emotional Competence, Sarah Rose Henderson

Master's Theses

This study investigated the extent to which low-income preschool children’s social, emotional, and behavioral competence improved after engaging in a six-week-long arts program. Participants included 46 students of three, four, and five years of age in two low-income, state-funded classrooms in the San Francisco Bay Area. Analyses of children’s scores on SCBE-80 measures of Social Competence and Egotistic-Prosocial showed statistically significant change from the pretest to the posttest. Teacher survey report of students’ frequency in social adaptation and enjoyment of the arts suggested that teachers observed social improvements in the classroom that were consistent with SCBE-80 results in Social Competence. …


In-Situ Measurement Of Plasma Etch Rate Using Etchrate Wafer, Razieh Mahzoon Jun 2018

In-Situ Measurement Of Plasma Etch Rate Using Etchrate Wafer, Razieh Mahzoon

Master's Theses

This paper presents the "EtchRate Wafer," a wireless monitoring silicon wafer that was invented by KLA-Tencor Corporation and patented in September 2014. This monitoring wafer measures the film thickness change in the etching plasma chambers while the etching process is running. The monitoring wafer has three sensors to measure the uniformity of thickness change across the wafer. The sensor is an optical stack that mainly consists of a collimator, an optical window, coated mirror, optical filter, and an optical detector. To measure the etch rate, the specific target material is coated on the optical window to be able to simulate …


English As A Second Language Proficiency: An Irt Approach To Scoring, Merve Sarac Jun 2018

English As A Second Language Proficiency: An Irt Approach To Scoring, Merve Sarac

Master's Theses

No abstract provided.


Topographic Maps: Image Processing And Path-Finding, Calin Washington Jun 2018

Topographic Maps: Image Processing And Path-Finding, Calin Washington

Master's Theses

Topographic maps are an invaluable tool for planning routes through unfamiliar terrain. However, accurately planning routes on topographic maps is a time- consuming and error-prone task. One factor is the difficulty of interpreting the map itself, which requires prior knowledge and practice. Another factor is the difficulty of making choices between possible routes that have different trade-offs between length and the terrain they traverse.

To alleviate these difficulties, this thesis presents a system to automate the process of finding routes on scanned images of topographic maps. The system allows users to select any two points on a topographic map and …


Funqual: User-Defined, Statically-Checked Call Graph Constraints In C++, Andrew P. Nelson Jun 2018

Funqual: User-Defined, Statically-Checked Call Graph Constraints In C++, Andrew P. Nelson

Master's Theses

Static analysis tools can aid programmers by reporting potential programming mistakes prior to the execution of a program. Funqual is a static analysis tool that reads C++17 code ``in the wild'' and checks that the function call graph follows a set of rules which can be defined by the user. This sort of analysis can help the programmer to avoid errors such as accidentally calling blocking functions in time-sensitive contexts or accidentally allocating memory in heap-sensitive environments. To accomplish this, we create a type system whereby functions can be given user-defined type qualifiers and where users can define their own …


Compiler Optimization Effects On Register Collisions, Jonathan S. Tan Jun 2018

Compiler Optimization Effects On Register Collisions, Jonathan S. Tan

Master's Theses

We often want a compiler to generate executable code that runs as fast as possible. One consideration toward this goal is to keep values in fast registers to limit the number of slower memory accesses that occur. When there are not enough physical registers available for use, values are ``spilled'' to the runtime stack. The need for spills is discovered during register allocation wherein values in use are mapped to physical registers. One factor in the efficacy of register allocation is the number of values in use at one time (register collisions). Register collision is affected by compiler optimizations that …


Software Requirements Classification Using Word Embeddings And Convolutional Neural Networks, Vivian Lin Fong Jun 2018

Software Requirements Classification Using Word Embeddings And Convolutional Neural Networks, Vivian Lin Fong

Master's Theses

Software requirements classification, the practice of categorizing requirements by their type or purpose, can improve organization and transparency in the requirements engineering process and thus promote requirement fulfillment and software project completion. Requirements classification automation is a prominent area of research as automation can alleviate the tediousness of manual labeling and loosen its necessity for domain-expertise.

This thesis explores the application of deep learning techniques on software requirements classification, specifically the use of word embeddings for document representation when training a convolutional neural network (CNN). As past research endeavors mainly utilize information retrieval and traditional machine learning techniques, we entertain …


Field Investigation Of Stream-Aquifer Interactions: A Case Study In Coastal California, Devin Pritchard-Peterson Jun 2018

Field Investigation Of Stream-Aquifer Interactions: A Case Study In Coastal California, Devin Pritchard-Peterson

Master's Theses

This study is a detailed investigation of the dynamic interaction between a stream and an alluvial aquifer at Swanton Pacific Ranch in the Scotts Creek watershed in Santa Cruz County, California. The aquifer is an important source of groundwater for cropland irrigation and for aquatic ecosystem support. The potential for groundwater pumping to deplete Scotts Creek stream flows is a source of serious concern for land managers, fisheries biologists, and regulatory agencies due to the presence of federally protected steelhead trout (Oncorhynchus mykiss) and coho salmon (Oncorhynchus kisutch). An understanding of the interaction between the stream and pumped aquifer will …


Analyzing Global Cyber Attack Correlates Through An Open Database, Brady Benjamin Aiello Jun 2018

Analyzing Global Cyber Attack Correlates Through An Open Database, Brady Benjamin Aiello

Master's Theses

As humanity becomes more reliant on digital storage and communication for every aspect of life, cyber attacks pose a growing threat. However, cyber attacks are generally understood as individual incidents reported in technological circles, sometimes tied to a particular vulnerability. They are not generally understood through the macroscopic lens of statistical analysis spanning years over several countries and sectors, leaving researchers largely ignorant of the larger trends and correlates between attacks. This is large part due to the lack of a coherent and open database of prominent attacks. Most data about cyber attacks has been captured using a repository of …


Use Of Manifolds In The Insertion Of Ballistic Cycler Trajectories, Oliver K. Morrison Jun 2018

Use Of Manifolds In The Insertion Of Ballistic Cycler Trajectories, Oliver K. Morrison

Master's Theses

Today, Mars is one of the most interesting and important destinations for humankind and copious methods have been proposed to accomplish these future missions. One of the more fascinating methods is the Earth-Mars cycler trajectory which is a trajectory that accomplishes repeat access to Earth and Mars with little to no fuel-burning maneuvers. This would allow fast travel to and from Mars, as well as grant the possibility of multiple missions using the same main vehicle.

Insertion from Earth-orbit onto the cycler trajectory has not been thoroughly ex- plored and the only existing method so far is a Hohmann-esque transfer …


Detection Method Of Subclinical Atherosclerosis Of The Carotid Artery With A Hemodynamics Modeling Approach, Marisa Peressini Jun 2018

Detection Method Of Subclinical Atherosclerosis Of The Carotid Artery With A Hemodynamics Modeling Approach, Marisa Peressini

Master's Theses

Subclinical atherosclerosis is an important area of research to evaluate stroke risk and predict localization of plaque. The current methods for detecting atherosclerosis risk are insufficient because it is based on The Framingham Risk Score and carotid intima media thickness, therefore an engineering detection model based on quantifiable data is needed. Laminar and turbulent flow, dictated by Reynolds number and relative roughness, was modeled through the carotid artery bifurcation to compare shear stress and shear rate. Computer-aided design and fluid flow software were used to model hemodynamics through the carotid artery. Data from the model was derived from governing equations …


Differential Power Analysis In-Practice For Hardware Implementations Of The Keccak Sponge Function, Nathaniel Graff Jun 2018

Differential Power Analysis In-Practice For Hardware Implementations Of The Keccak Sponge Function, Nathaniel Graff

Master's Theses

The Keccak Sponge Function is the winner of the National Institute of Standards and Technology (NIST) competition to develop the Secure Hash Algorithm-3 Standard (SHA-3). Prior work has developed reference implementations of the algorithm and described the structures necessary to harden the algorithm against power analysis attacks which can weaken the cryptographic properties of the hash algorithm. This work demonstrates the architectural changes to the reference implementation necessary to achieve the theoretical side channel-resistant structures, compare their efficiency and performance characteristics after synthesis and place-and-route when implementing them on Field Programmable Gate Arrays (FPGAs), publish the resulting implementations under the …


Vehicle Pseudonym Association Attack Model, Pierson Yieh Jun 2018

Vehicle Pseudonym Association Attack Model, Pierson Yieh

Master's Theses

With recent advances in technology, Vehicular Ad-hoc Networks (VANETs) have grown in application. One of these areas of application is Vehicle Safety Communication (VSC) technology. VSC technology allows for vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communications that enhance vehicle safety and driving experience. However, these newly developing technologies bring with them a concern for the vehicular privacy of drivers. Vehicles already employ the use of pseudonyms, unique identifiers used with signal messages for a limited period of time, to prevent long term tracking. But can attackers still attack vehicular privacy even when vehicles employ a pseudonym change strategy? The major contribution …


Object Tracking In Games Using Convolutional Neural Networks, Anirudh Venkatesh Jun 2018

Object Tracking In Games Using Convolutional Neural Networks, Anirudh Venkatesh

Master's Theses

Computer vision research has been growing rapidly over the last decade. Recent advancements in the field have been widely used in staple products across various industries. The automotive and medical industries have even pushed cars and equipment into production that use computer vision. However, there seems to be a lack of computer vision research in the game industry. With the advent of e-sports, competitive and casual gaming have reached new heights with regard to players, viewers, and content creators. This has allowed for avenues of research that did not exist prior.

In this thesis, we explore the practicality of object …


Jupyterlab_Voyager: A Data Visualization Enhancement In Jupyterlab, Ji Zhang Jun 2018

Jupyterlab_Voyager: A Data Visualization Enhancement In Jupyterlab, Ji Zhang

Master's Theses

With the emergence of big data, scientific data analysis and visualization (DAV) tools are critical components of the data science software ecosystem; the usability of these tools is becoming extremely important to facilitate next-generation scientific discoveries. JupyterLab has been considered as one of the best polyglot, web-based, open-source data science tools. As the next phase of extensible interface for the classic iPython Notebooks, this tool supports interactive data science and scientific computing across multiple programming languages with great performances. Despite these advantages, previous heuristics evaluation studies have shown that JupyterLab has some significant flaws in the data visualization side. The …


An Empirical Study Of Alias Analysis Techniques, Andrew T. Tran Jun 2018

An Empirical Study Of Alias Analysis Techniques, Andrew T. Tran

Master's Theses

As software projects become larger and more complex, software optimization at that scale is only feasible through automated means. One such component of software optimization is alias analysis, which attempts to determine which variables in a program refer to the same area in memory, and is used to relocate instructions to improve performance without interfering with program execution. Several alias analyses have been proposed over the past few decades, with varying degrees of precision and time and space complexity, but few studies have been conducted to compare these techniques with one another, nor to measure with program data to confirm …


N-Slope: A One-Class Classification Ensemble For Nuclear Forensics, Justin Kehl Jun 2018

N-Slope: A One-Class Classification Ensemble For Nuclear Forensics, Justin Kehl

Master's Theses

One-class classification is a specialized form of classification from the field of machine learning. Traditional classification attempts to assign unknowns to known classes, but cannot handle novel unknowns that do not belong to any of the known classes. One-class classification seeks to identify these outliers, while still correctly assigning unknowns to classes appropriately. One-class classification is applied here to the field of nuclear forensics, which is the study and analysis of nuclear material for the purpose of nuclear incident investigations. Nuclear forensics data poses an interesting challenge because false positive identification can prove costly and data is often small, high-dimensional, …


Tessellated Voxelization For Global Illumination Using Voxel Cone Tracing, Sam Thomas Freed Jun 2018

Tessellated Voxelization For Global Illumination Using Voxel Cone Tracing, Sam Thomas Freed

Master's Theses

Modeling believable lighting is a crucial component of computer graphics applications, including games and modeling programs. Physically accurate lighting is complex and is not currently feasible to compute in real-time situations. Therefore, much research is focused on investigating efficient ways to approximate light behavior within these real-time constraints.

In this thesis, we implement a general purpose algorithm for real-time applications to approximate indirect lighting. Based on voxel cone tracing, we use a filtered representation of a scene to efficiently sample ambient light at each point in the scene. We present an approach to scene voxelization using hardware tessellation and compare …