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Millipyde: A Cross-Platform Python Framework For Transparent Gpu Acceleration, James B. Asbury
Millipyde: A Cross-Platform Python Framework For Transparent Gpu Acceleration, James B. Asbury
Master's Theses
The prevalence of general-purpose GPU computing continues to grow and tackle a wider variety of problems that benefit from GPU-acceleration. This acceleration often suffers from a high barrier to entry, however, due to the complexity of software tools that closely map to the underlying GPU hardware, the fast-changing landscape of GPU environments, and the fragmentation of tools and languages that only support specific platforms. Because of this, new solutions will continue to be needed to make GPGPU acceleration more accessible to the developers that can benefit from it. AMD’s new cross-platform development ecosystem ROCm provides promise for developing applications and …
Jited: A Framework For Jit Education In The Classroom, Caleb Watts
Jited: A Framework For Jit Education In The Classroom, Caleb Watts
Master's Theses
The study of programming languages is a rich field within computer science, incorporating both the abstract theoretical portions of computer science and the platform specific details. Topics studied in programming languages, chiefly compilers or interpreters, are permanent fixtures in programming that students will interact with throughout their career. These systems are, however, considerably complicated, as they must cover a wide range of functionality in order to enable languages to be created and run. The process of educating students thus requires that the demanding workload of creating one of the systems be balanced against the time and resources present in a …
Wi-Fi Sensing: Device-Free In-Zone Object Movement Detection, Nicholas P. Schnorr
Wi-Fi Sensing: Device-Free In-Zone Object Movement Detection, Nicholas P. Schnorr
Master's Theses
Wi-Fi Sensing is becoming a prominent field with a wide range of potential applications. Using existing hardware on a wireless network such as access points, cell phones, and smart home devices, important information can be inferred about the current physical environment. Through the analysis of Channel State Information collected in the Neighborhood Discovery Protocol process, the wireless network can detect disturbances in Wi-Fi signals when the physical environment changes. This results in a system that can sense motion within the Wi-Fi network, allowing for movement detection without any wearable devices.
The goal of this thesis is to answer whether Wi-Fi …
On The Mobility Of Small Aperture Telescopes For Initial Orbit Determination And Apparent Magnitude Derivation Of Low Earth Satellites, Jonathan Ian Hernandez
On The Mobility Of Small Aperture Telescopes For Initial Orbit Determination And Apparent Magnitude Derivation Of Low Earth Satellites, Jonathan Ian Hernandez
Master's Theses
Maintaining Space Domain Awareness (SDA) of satellites in low Earth orbit (LEO) requires effective methods of tracking and characterization. Optical measurements of these objects are generally sparse due to limited access intervals and high angular rates. Light pollution and geographic obstructions may also preclude consistent observations. However, a mobile small aperture telescope grants the ability to minimize such environmental effects, thereby increasing capture likelihoods for objects within this regime. By enhancing LEO satellite visibility in this way, extensive orbital and visual data are obtainable.
An 8-inch Meade LX200GPS telescope equipped with a Lumenera SKYnyx2-0M CCD camera comprises the system that …
Characterizing Direction Specific Ganglion Cell Receptor Activation Using A Perturbation Based Decomposition Method, Camila Paola Monchini Moline
Characterizing Direction Specific Ganglion Cell Receptor Activation Using A Perturbation Based Decomposition Method, Camila Paola Monchini Moline
Master's Theses
Characterizing postsynaptic current signals in the retina by neuroreceptor activation frequency is important for studying the mechanism of action behind phototransduction of varied visual stimuli. A better understanding could in turn lead to the creation of methods for early detection and prevention of debilitating optical neuropathies, such as glaucoma, age-related macular degeneration, and retinitis pigmentosa. More recent in-vitro and in-vivo studies have aimed to differentiate the effects of various neurotransmitters, such as acetylcholine, GABA, and glutamate, on receiving and processing different types of visual stimuli from the retina into the visual cortex.
The focus of this work will be to …
Multi-Valued Solutions For The Equation Of Motion, Darcy-Jordan Model, As A Cauchy Problem: A Shocking Event, Chandler Shimp
Multi-Valued Solutions For The Equation Of Motion, Darcy-Jordan Model, As A Cauchy Problem: A Shocking Event, Chandler Shimp
Master's Theses
Shocks are physical phenomenon that occur quite often around us. In this thesis we examine the occurrence of shocks in finite amplitude acoustic waves from a numerical perspective. These waves, or jump discontinuities, yield ill-behaved solutions when solved numerically. This study takes on the challenge of finding both single- and multi-valued solutions.
The previously unsolved problem in this study is the representation of the Equation of Motion (EoM) in the form of the Darcy-Jordan model (DJM) and expressed as a dimensionless IVP Cauchy problem. Prior attempts to solve have resulted only in implicit solutions or explicit solutions with certain initial …
Chitosan Graphene Composite Fabrication And Characterization For Treatment Of Harmful Algal Blooms And Toxins, Sarah Zetterholm
Chitosan Graphene Composite Fabrication And Characterization For Treatment Of Harmful Algal Blooms And Toxins, Sarah Zetterholm
Master's Theses
Chitosan graphene composites were fabricated and characterized as a management strategy for harmful algal blooms (HABs) caused by various species of cyanobacteria. These chitosan graphene materials were compared to previously studied chitosan graphene-oxide composites in both material properties and HAB treatment. In previous studies, adsorption of the cyanobacteria onto the surface of the composite materials has been observed. Investigations of the pure materials for these composites are also included in this study to determine whether removal is a result of charge interactions with the composite, or as an inherent property of the graphene or graphene oxide. Initial results suggest that …
Optimization Of Interplanetary Transfer Trajectories Using The Invariant Manifolds Of Halo Orbits, Ryan Yedinak
Optimization Of Interplanetary Transfer Trajectories Using The Invariant Manifolds Of Halo Orbits, Ryan Yedinak
Master's Theses
Traditionally, two-body dynamics have been used to design orbital trajectories for interplanetary missions using a series of Lambert’s transfers and gravity assists. Although these are reliable methods, they have extremely high fuel requirements, especially for missions to outer planets. From an orbital mechanics perspective, three ways of reducing fuel requirements for these types of missions are utilizing low energy transfer trajectories, applying low thrust engine parameters, and implementing orbit optimization techniques.
The goal of this thesis is to combine low energy transfers created from the dynamics of the Circular Restricted Three-Body Problem (CRTBP) with low-thrust orbit optimization techniques to develop …
Thermal Vacuum Chamber Modification, Testing, And Analysis, Jared C. Lehmann
Thermal Vacuum Chamber Modification, Testing, And Analysis, Jared C. Lehmann
Master's Theses
This work discusses the modification and analysis of the Blue Thermal Vacuum Chamber (TVAC) located at the Space Environments Lab at California Polytechnic State University, San Luis Obispo. The modified design has a cylindrical test section and can accommodate 6U Cubesats or larger for educational or research purposes. The sizing process for the modified shroud cooling system and modular heating plates is discussed. The modified cooling system uses existing nitrogen plumbing into the chamber and control systems with a new copper shroud. The modified heating system uses modular heater plates, which utilize the existing three heater strips. The modified system …
A Study Of Non-Computing Majors' Growth Mindset, Self-Efficacy And Perceived Cs Relevance In Cs1, Jae Hyuk Yoo
A Study Of Non-Computing Majors' Growth Mindset, Self-Efficacy And Perceived Cs Relevance In Cs1, Jae Hyuk Yoo
Master's Theses
As the demand for programming skills in today’s job market is rapidly increasing for disciplines outside of computing, CS courses have experienced spikes in enrollment for non-majors. Students in disciplines including art, design and biological sciences are now often required to take introductory CS courses. Previous research has shown the role of growth mindset, self-efficacy and relevance in student success within CS but such metrics are largely unknown for non-majors. In this thesis, we surveyed non-majors in CS1 at Cal Poly, San Luis Obispo during the early and late weeks of the quarter to gain insights on their growth mindset, …
Short-Term Wind Speed Time Series Forecasting Using Artificial Neural Networks, Daniel Rezaee Garacani
Short-Term Wind Speed Time Series Forecasting Using Artificial Neural Networks, Daniel Rezaee Garacani
Master's Theses
Renewable energies such as wind power have become integral parts of modern power networks. Short-term wind speed prediction is crucial for smart grids, as it can help balance the demand and supply, as well as set the energy price in the market.
In this thesis, we simulate and compare various neural network models for short-term wind speed prediction, including multi-layer feedforward neural networks, convolutional neural networks, long-short term memory networks, and hybrid models such as CNN- LSTM and ConvLSTM. Computer simulation results show that all artificial neural networks are able to provide satisfactory prediction. Among them, the multi-layer feedforward neural …
Analysis Into Artificial Intelligence And Its Developing Dynamic And Relationship In Agricultural Supply Chains, Samantha Jane Ault
Analysis Into Artificial Intelligence And Its Developing Dynamic And Relationship In Agricultural Supply Chains, Samantha Jane Ault
Master's Theses
The thesis explores artificial intelligence (AI) in agricultural (Ag) supply chains (SCs) and presents a new typology to understand artificial intelligence-based solutions in agricultural SCs. The thesis was performed utilizing a research-based review to investigate the current uses of artificial intelligence-based solutions in agricultural SCs. The AI-based solutions were found in case studies that reviewed AI operations in different areas internationally.
The typology was formed on the foundation of two dynamics, the location of AI applications in Ag SCs and the driving values to integrate the AI applications. In order to develop the typology, the AI applications were studied in …
The Affect Of Globalization On Terrorism, Philip R. Passante
The Affect Of Globalization On Terrorism, Philip R. Passante
Master's Theses
This thesis proposal will dive into the concept of terrorism and how it is an act of force and has proven to be detrimental to the modern world. In addition, this thesis will analyze the concept of terrorism as well as the rationale behind it. It is important to understand and study this as terrorism is a complex entity made up of different themes. The concentration of this thesis will highlight how globalization has affected the phenomena of terrorism in the past, present, and ultimately the future. Globalization and terrorism have a relationship that many scholars and researchers have noticed. …
Mining Bitcoin To Avoid Sanctions, Tyler C. Lubin
Mining Bitcoin To Avoid Sanctions, Tyler C. Lubin
Master's Theses
Though the world’s first cryptocurrency, Bitcoin, was introduced over a decade ago, it was not until recently that it became a mainstream subject. While cryptocurrencies offer many advantages, a potential downside for governments, is that no central bank controls the monetary policy and new coins can be mined by anyone anywhere in the world. Governments have always been deeply involved with how a their countries’ currency is ran and the policies they create are meant to keep a currencies’ value stable and make sure other factors like inflation is under control. Even though as of 2021, there were well over …
Predict Trend Of Unemployment Rate By Observing The Nasdaq Composite Index Using Hidden Markov Model, Li Liu
Predict Trend Of Unemployment Rate By Observing The Nasdaq Composite Index Using Hidden Markov Model, Li Liu
Master's Theses
In this paper, we present how to use Hidden Markov Models (HMM) to predict the change in Unemployment Rate. By observing the NASDAQ price difference, we will predict the Unemployment Rate will rise or fall in the next month using the Hidden Markov Model. We will use the NASDAQ price and the unemployment rate from 2016 to 2020 monthly data for this paper. When we check the relation between the NASDAQ price and the unemployment rate, we find out that whenever the NASDAQ price goes up, the unemployment rate will drop for a time. So we are interested in how …
Interior Point Optimization Of Low-Thrust Spacecraft Trajectories, Jordan D. Frederiksen
Interior Point Optimization Of Low-Thrust Spacecraft Trajectories, Jordan D. Frederiksen
Master's Theses
Low-thrust interplanetary spacecraft trajectory optimization poses a uniquely difficult problem to solve because of the inherent nonlinearities of the dynamics and constraints as well as the large size of the search space of possible solutions. Tools currently exist that optimize low-thrust interplanetary trajectories, but these tools are rarely openly available to the public, and when they are available they require multiple interfaces between multiple different packages. The goal of this work is to present a new piece of low-thrust interplanetary spacecraft trajectory optimization software that is open-source and entirely self-contained so that more people can have access to the ability …
Snr: Software Library For Introductory Robotics, Spencer F. Shaw
Snr: Software Library For Introductory Robotics, Spencer F. Shaw
Master's Theses
This thesis introduces "SNR," a Python library for programming robotic systems in the context of introductory robotics courses. Greater demand for roboticists has pressured educational institutions to expand robotics curricula. Students are now more likely to take robotics courses earlier and with less prior programming experience. Students may be attempting to simultaneously learn a systems programming language, a library API, and robotics concepts. SNR is written purely in Python to present familiar semantics, eliminating one of these learning curves. Industry standard robotics libraries such as ROS often require additional build tools and configuration languages. Students in introductory courses frequently lack …
Nonlinear Model Development And Validation For Ball And Plate Control System, Zachary Richter
Nonlinear Model Development And Validation For Ball And Plate Control System, Zachary Richter
Master's Theses
Ball and plate balancing control systems are commonly studied due to the complex dynamics associated with the instability of the system in open-loop. For simplicity, mathematical models describing the ball and plate dynamics are often linearized and the effects of complex motion are assumed to be negligible. These assumptions are rarely backed with evidence or explanations validating the simplified form of the dynamical equations of motion. This thesis focuses on developing a nonlinear model that more accurately defines the dynamics of the system, in order to quantify the error of linear and nonlinear models when compared to a Simscape physical …
Take The Lead: Toward A Virtual Video Dance Partner, Ty Farris
Take The Lead: Toward A Virtual Video Dance Partner, Ty Farris
Master's Theses
My work focuses on taking a single person as input and predicting the intentional movement of one dance partner based on the other dance partner's movement. Human pose estimation has been applied to dance and computer vision, but many existing applications focus on a single individual or multiple individuals performing. Currently there are very few works that focus specifically on dance couples combined with pose prediction. This thesis is applicable to the entertainment and gaming industry by training people to dance with a virtual dance partner.
Many existing interactive or virtual dance partners require a motion capture system, multiple cameras …
Demographic Predictors Of Math Anxiety In Elementary School Children, Melissa Flowerdew
Demographic Predictors Of Math Anxiety In Elementary School Children, Melissa Flowerdew
Master's Theses
Due to the increasing interest of math anxiety in elementary level children, the present study explored math anxiety contextual factors through Bandura’s (1999) Social Cognitive perspective. Using the Children’s Anxiety in Math Scale, researchers gathered data from 40 primary-level children to explore four demographic predictors--grade-level, special needs identification, gender identity, and socioeconomic status-- of mathematics anxiety through a hierarchical regression model. Findings indicated demographic variables accounted for over one-third of the variance in math anxiety scores at 38.2% (grade level: 12.3%, SNI: 8.4%, gender identity: 13.2%, SES: 4.1%). With the exception of socioeconomic status, all predictors were significant. These findings …
Sedimentology And Shallow Groundwater Responses Of A Coastal Marsh Along A Salinity Gradient: A Case Study In Grand Bay National Estuarine Research Reserve, Mississippi, James Thompson
Master's Theses
Climate change and relative sea level rise is resulting in saltwater intrusion and inundation of coastal marshes. This study investigates factors affecting marsh hydrology, including sediment composition, seasonal variability, and coastal storms in Grand Bay National Estuarine Research Reserve (NERR) near Pascagoula, Mississippi. Analysis of sediment includes color, organic matter, carbonate, magnetic susceptibility, and particle size. Shallow groundwater hydrologic trends between Summer 2015 and Fall 2016 are established along a salinity gradient at four sites using water levels, temperature, and conductivity monitored at the surface and in piezometers at depths of 0.75m, 1.5m, and 2.25m.
Sediment analysis indicates reducing conditions …
Noninvasive Measurement Of Arterial Compliance With A Blood Pressure Cuff Using A Surrogate Arm Bench Top Model For Oscillometric Use, Shane Wilsey
Master's Theses
A surrogate arm model was created that is capable of being used for oscillometry. This model is capable of being used as a bench top model for blood pressure cuff devices. The arm consists of endplates and internal supports that are 3D printed with ABS, a silicone rubber outer sleeve, and interchangeable arteries made from two silicone rubber strips glued together at the edges. The interchangeable arteries have varying compliances that can be used as different inputs for oscillometric testing. A process was established to measure the artery compliances with a curve fit correlation of 0.95. However, testing revealed that …
Population Parameter Estimation And Stable Isotope Analysis Of Gulf Sturgeon (Acipenser Oxyrinchus Desotoi) In The Pascagoula River, Alfonso Cohuo
Population Parameter Estimation And Stable Isotope Analysis Of Gulf Sturgeon (Acipenser Oxyrinchus Desotoi) In The Pascagoula River, Alfonso Cohuo
Master's Theses
Gulf Sturgeon (GS), Acipenser oxyrinchus desotoi, are a threatened, anadromous fish species in the northern Gulf of Mexico. Their range is from the Pearl River, LA, in the west to the Suwannee River, FL, in the east with a longitudinal divide at Mobile Bay, AL, creating a western population unit (WPU) and an eastern population unit (EPU). Sturgeon belonging to the WPU exhibit lower abundances, higher mortality rates, and are overall less studied than their EPU counterparts. Notable data gaps for the WPU includes the absence of recent population parameter estimations and confirmed feeding habitat. My thesis aims to …
Paradoxes Of The Heart And Mind: Three Case Studies In White Identity, Southern Reality, And The Silenced Memories Of Mississippi Confederate Dissent, 1860-1979, Billy Loper
Master's Theses
This thesis is meant to advance scholars understanding of the processes by which various groups silenced the memory of Civil War white dissent in Mississippi. It analyzes three case studies: F. A. P. Barnard’s 1860 trial for abolitionism, the transformation of community memory which surrounded Newt Knight in the early twentieth century, and Mississippi’s interaction with the Civil War through popular culture. These examples will reveal the cultural and discursive systems that have existed in the state for more than a century. This work argues that Mississippians silenced the memory of racial dissent throughout the state’s history because it conflicted …
Polycyclic Aromatic Hydrocarbons And The Microbiomes Of Two Benthic Species, Samantha Ells
Polycyclic Aromatic Hydrocarbons And The Microbiomes Of Two Benthic Species, Samantha Ells
Master's Theses
The presence of oil has been shown to affect the microbiomes of the water column, sediments, and organisms, both by altering the diversity and the composition of those microbial communities. If the microbiome is altered it may no longer provide benefits to its host organism, impacting its ability to survive. Thus, it is important to understand the effects of large-scale contamination events including the Deepwater Horizon oil spill. This study set out to examine the effects of oil exposure on the microbiome of two benthic species, southern flounder (Paralichthys lethostigma) and eastern oysters (Crassostrea virginica) to further understand the effects …
Comparison Of Supported Liquid Extraction And Solid Phase Extraction Of Methamphetamine From Urine And Method Validation By Gas Chromatography-Mass Spectrometry, Taylor Hood
Master's Theses
Applications of SLE (supported liquid extraction) is a relatively new extraction technique that is not widely used in forensic toxicology. SLE is also easier and less time consuming than traditional LLE (liquid-liquid extraction) and SPE (Solid phase extraction). This work will compare the extraction efficiencies between SLE and SPE for methamphetamine from urine with detection and quantitation using GC-MS (gas chromatography- mass spectrometry). The SLE cartridges provide better analyte recoveries, eliminate emulsion formation, and allow for shorter processing time than other extraction techniques. The SPE cartridges used have a mixed-mode non-polar/strong cation exchange retention mechanism to extract basic analytes like …
Climate Adaptation And Water Conservation Decision-Making In Paso Robles, California Vineyards, Christopher R. Klier
Climate Adaptation And Water Conservation Decision-Making In Paso Robles, California Vineyards, Christopher R. Klier
Master's Theses
This paper examines vineyard perceptions and adoption of climate change adaptation and water conservation measures in the Paso Robles American Viticultural Area (AVA). A survey was distributed to all 220 vineyards and vineyard management companies that operate in the AVA, with a 53.64% response rate. The objective of the survey was to determine vineyard manager and owner attitudes towards climate change and adaptation, as well as their perceptions of how these threats would impact their operation. A second objective was to document the current level of water conservation and climate adaptation while identifying the barriers and opportunities for further adoption …
Integral Boundary Layer Methods In Python, Malachi Joseph Edland
Integral Boundary Layer Methods In Python, Malachi Joseph Edland
Master's Theses
This thesis presents a modern approach to two Integral Boundary Layer methods implemented in the Python programming language. This work is based on two 2D boundary layer methods: Thwaites' method for laminar boundary layer flows and Head's method for turbulent boundary layer flows. Several novel enhancements improve the quality and usability of the results. These improvements include: a common ordinary differential equation (ODE) integration framework that generalizes computational implementations of Integral Boundary Layer methods; the use of a dense output Runge-Kutta ODE solver that allows for querying of simulation results at any point with accuracy to the same order as …
Analyzing The Consistency Of Scoring Porotic Hyperostosis From 3d Scans, Carson Rouse
Analyzing The Consistency Of Scoring Porotic Hyperostosis From 3d Scans, Carson Rouse
Master's Theses
The use of 3D scans is becoming more and more common in the field of bioarchaeology. They alleviate the need to travel, allow for larger sample sizes, and can help preserve bones with pathologies on them which make them more fragile. Though there are major benefits with using 3D scanning of human remains, there is a lack of studies which examine whether or not traditional pathology scoring methods can be used to consistently gather the same data from these 3D scans. This project examines how consistently six researchers of varying experience levels scored porotic hyperostosis from 25 3D scans on …
On A Stochastic Model Of Epidemics, Rachel Prather
On A Stochastic Model Of Epidemics, Rachel Prather
Master's Theses
This thesis examines a stochastic model of epidemics initially proposed and studied by Norman T.J. Bailey [1]. We discuss some issues with Bailey's stochastic model and argue that it may not be a viable theoretical platform for a more general epidemic model. A possible alternative approach to the solution of Bailey's stochastic model and stochastic modeling is proposed as well. Regrettably, any further study on those proposals will have to be discussed elsewhere due to a time constraint.