Digital Commons Network^™

Design, Manufacturing, And Assembly Of Modular Snake-Like Robotic Arm, Alongside Design And Implementation Of System’S Digital-Twin, Scott Brown

Master's Theses

A unique modular snake-like robotic arm, also referred to as MA\RS – the Modular Arm \ Robotic System - was designed, manufactured, assembled, simulated, and programmed to create a modular robot which could move to a desired end position given the number of links, the position of the end link and the duration of motion. This robotic arm serves as the start of research into a modular space robotic system to be used in low-gravity environments. As such, this project focused on developing the initial design of the robot and its digital twin. The system’s modularity allows for changes to …

An Investigation Into The Use Of Amateur Astronomy Equipment For Optical Orbit Determination Using A Mobile Telescope Platform, Johan C. Govaars

Master's Theses

The process of optical orbit determination has long been in the domain of large organizations and stationary observatories with highly specialized scientific equipment. This thesis seeks to determine not only if satellites can be captured regularly using purely commercial-off-the-shelf (COTS) equipment, but also if initial orbit determinations can be made using that data. Moreover, the use of a mobile telescope platform allows users to circumvent the restrictions of fixed observatories such as low horizon viewing restrictions or existing light pollution.

A completely COTS setup was utilized that included an 8-inch Celestron NextStar 8SE telescope with an f/6.3 focal reducer and …

Generating A Novel Legislator Organization Score, Brandon Lin

Master's Theses

Ever since the 2010 Citizens United v. FEC, corporations and organizations have been able to contribute expenditures and resources into political legislators and campaigns. It has become apparent over the years that organizations can excise significant influence in direct ways to influence campaigns across the United States. During this period, Digital Democracy has collected large amounts of data pertaining to legislative bill information, voting patterns, and donations on behalf of the California public to raise awareness. Digital Democracy has also released its own scoring system that compares the amount of aligning votes between a legislator and an organization. However, this …

Counting Catalan: An Experimental Evaluation Of The Mixing Time For The Triangulation Markov Chain, Roy Gotlieb

Master's Theses

Monte Carlo Markov chains (MCMCs) are used in many areas as a way to model a system’s behavior. By running a probabilistic simulation on a system’s state space, we can estimate properties of the system that could be untenable to directly compute. It is of interest to determine how quickly a Markov chain mixes\textemdash that is, settles into its stationary distribution. One such chain is induced by taking a binary search tree and performing a rotation or flip on one of its edges. We know that this chain eventually settles into the uniform distribution, but the time complexity bounds on …

Ephemeral Legacy, Allison Hall

Master's Theses

Recently, my thoughts have centered on the problem of legacy. How do we forge bonds with other humans? What happens on an interpersonal level when these humans pass away, or when we pass, and they continue in life? How do queer spaces consistently offer deeper phenomena of interpersonal legacies; how does death operate as generational catalyst? I am particularly interested in putting these questions in the context of queer spaces. In queer culture, kinship is formed in ways that break from typical western notions of kinship. Despite being incoherent to western notions of family, queer bonds are extremely strong (Bradway …

Investigation Of Social Networks Upon Academic Performance And Mental Health, Rachel Izenson

Master's Theses

It has been shown that computing students have a statistically significantly lower overall sense of belongingness compared to other science students. A sense of community is important for many reasons. For example, there are studies that show that a student's sense of belonging correlates with improved academic performance. Our research aims to analyze the sense of belonging among computing students at Cal Poly San Luis Obispo through a network science lens. We surveyed for their sense of belonging, as well as their social network, to understand how friendships impact one's sense of belonging. When student responses were split by gender, …

I Belong Here: How Culturally Responsive Learning Builds Community And Acceptance In The Dance Classroom Of A Public School System, Britteny Dorothy Hyslip

Master's Theses

The purpose of this study was to gauge the impact of culturally responsive educational practices on a public school dance class through evaluations of students taking part in the class. This study aimed to see how a dance course written with culturally responsive learning practices positively impacts public school students from a behavioral and social-emotional aspect. Two essential questions were used in this thesis study.

Q1 Why is the diversity of dance important in a diverse school district?

Q2 How can the Massachusetts Department of Elementary and Secondary Education scale for culturally responsive learning be reframed for performing arts education …

Exploring The Impact Of Dance Arts Integration On General Education Teaching Practices: Insights Into Classroom Environment, Planning, Instruction, And Assessment, Sara Kessler-Kennon

Master's Theses

The purpose of this research study was to explore the impact of dance arts integration facilitation on teaching practices by emphasizing classroom environment, planning, instruction, and assessment. The researcher created the following four essential questions to guide the study:

Q1 How does incorporating movement-based arts integration alter classroom environment, student behavior, student engagement, and inclusivity of students with various abilities and diverse backgrounds?

Q2 How does incorporating movement-based arts integration impact the general educators' planning time, process, style, and understanding? Does the general educator feel as though they can effectively incorporate movement-based arts integration without collaborating with a dance educator? …

Investigating Nekton Response To Changing Salinities In The Mississippi Sound: An Experimental And Statistical Approach, Adam Murray

Master's Theses

The Mississippi Sound provides nursery habitats for many coastal species and is recognized for its commercial fisheries. Previous freshening events linked to the Bonnet Carré Spillway, a Mississippi River flood diversion structure, proved catastrophic for oyster populations in the Mississippi Sound, but effects on mobile fish and shellfish species are not well-defined. The planned Mid-Breton Sediment Diversion (MBSD), an initiative to combat wetland loss, is also forecasted to lower salinities in the region, increasing the need to better understand responses of commercially and ecologically important species to freshening events. The objective of this study was to characterize effects of salinity …

Soldiers In The Sideshows: The 409th Infantry Regiment In World War Ii, Nicholas Garrett

Master's Theses

In the European Theater of World War II certain battlefields or campaigns such as Operation Overlord, Operation Market Garden, and the Battle of the Bulge are core aspects of American memory. However, the men of the 409^th Infantry Regiment of the 103^rd Infantry Division do not fall into this image. This unit fought as part of the U.S. Seventh Army across eastern France through the Vosges Mountains, defended against the German Operation Nordwind and broke through the Siegfried Line into southeastern Germany. Though the 409^th represents a small portion of the men of the 103^rd, …

Geomorphic Assessment And Flow Modeling Of Pearl Darter (Percina Aurora) Habitat In The Pascagoula River Watershed, Malia Davidson

Master's Theses

Freshwater ecosystems are complex ecosystems driven by hydrologic, geomorphic, and biological processes. Considering both abiotic and biotic factors is important to understanding resident species habitat. Geomorphology is a known, but often neglected factor in habitat assessment for freshwater fishes. A crucial feature commonly seen in alluvial stream systems are sandbars, which are dynamic and variable sediment structures that are known to have many associated species. One such species is the Pearl Darter, Percina aurora, a federally threatened species that only resides in the Pascagoula River watershed. Despite its status, habitat preference remains unclear. To fill this knowledge gap, I …

Nature-Based Solutions For Flood Risk Mitigation: Mapping And Hydrological Modeling In An Under-Resourced Urban Area On The Mississippi Gulf Coast, Jennifer Makenzie Holifield

Master's Theses

Flooding is the most frequent and costly disaster in the United States, affecting people disproportionately based on environmental, societal, and economic limitations. Through stakeholder engagement, open-access research, and nature-based solutions (NBS), ecology and hydrology can be bridged with local-scale politics to raise awareness of local issues and form strong interdisciplinary bonds. I approached nature-based equity from a ground front, in which I engaged with local stakeholders and city officials to gain insight and calibration on flooding experiences and flooding presence within Moss Point, MS. This engagement helped calibrate GIS models, from which, I found that the flooding hazards of Moss …

Modeling Hourly Storm Surges Using Deep Learning Techniques, Md Abu Zafor

Master's Theses

Storm surges cause coastal flooding, one of the most devastating coastal hazards. Accurate modeling of storm surges is essential for predicting and mitigating these impacts. Traditional approaches model surges at individual tide gauges and often focus on daily time scales, leading to data redundancy and limiting their ability to capture sub-daily variability. This study addresses these limitations using deep learning (DL) algorithms to model hourly surges simultaneously at multiple tide gauges along the U.S. East Coast and Gulf of Mexico. Three algorithms, Convolutional Neural Network (CNN), Long Short-Term Memory (LSTM), and a hybrid ConvLSTM are employed to model surges using …

Thermal Modeling Of Cooling Time Of Submarine Dacite Lapilli Tuff: Brothers Volcano, Kermadec Arc, Kyler Byrd

Master's Theses

Little is known about submarine volcanoes' eruptive histories and styles, even though they are essential to developing island arc systems and represent the second largest volcanic systems on Earth. Scientific drilling allows for the opportunity to study these systems. This study focused on two drill sites on Brothers volcano from IODP Expedition 376: Site U1528, located on the resurgent cone, and Site U1530, located on the caldera rim. Expedition researchers analyzed samples for clast radius, density, thermal conductivity, and specific heat. This data was then entered into the heat transfer equation of a sphere to create a cooling curve model …

Real-Time Network Simulations For Ml/Dl Ddos Detection Using Docker, Luis D. Garcia

Master's Theses

As the integration of artificial intelligence (AI) within cybersecurity continues to

grow, machine learning (ML) and deep learning (DL) models are increasingly used to

detect cyber attacks. However, these models are rarely evaluated in real-time attack

scenarios to see how subtle changes from the real networking environment can affect

their predictions. To address this issue, we propose a scalable, platform-independent

Docker testbed specifically designed for simulating real-time Distributed Denial of

Service (DDoS) attack scenarios that allows researchers to deploy and evaluate their

pre-trained, ML and DL detection models. Our framework is simple to configure

and can run across Intel and …

The Application Of Generative Ai For Sketch-To-Image Conversion, Jeremy J. Kozlowski

Master's Theses

Sketches have historically been the primary way to identify individuals when images are unavailable. Most commonly, this appears in a police investigation, where the police release a sketch to the public in an attempt to find a suspect. However, sketches occasionally do not provide much detail due to the limitations of both the witness and the artist. A poor sketch greatly hinders the public’s ability to identify someone, decreasing the chances they will be found. To improve upon this inefficient way of identifying individuals, we propose a new pipeline that leverages deep generative artificial intelligence models to create detailed images …

Peer Collaborative Networks In Undergraduate Computing Classrooms, Noah T. Ravetch

Master's Theses

Peers are an invaluable resource for students at undergraduate universities. Many factors can impact how students form connections, some of which are tied to the students’ identities. While social networks have been studied in the context of universities, little research has been done specifically about peer collaboration and even less in the context of computer science classes. Our research aims to gain an understanding of how peer networks form in computing classes and the effect of being involved in one on students’ academic performances. We collected survey data (n = 139) about students’ peer collaborative behaviors in computer science classes. …

Finite Element Analysis And Verification Of Transverse Mechanical Properties Of Generally Cylindrical Orthotropic Constitutive Modeling Of 3-Phase Nanocomposite Unit Cell, Christopher J. Hawkins

Master's Theses

Fiber-reinforced composites are increasingly popular due to their specific strength and stiffness, making them ideal for high-performance applications. However, these materials primarily exhibit superior properties in-plane, while their out-of-plane characteristics remain comparatively weaker. Previous research has shown that the most effective method to enhance out-of-plane properties involves the incorporation of carbon nanotubes. Experimental tests have demonstrated significant improvements in properties such as tension, flexural, short beam shear, and fracture toughness. Alongside these experimental studies, analytical equations have been developed to predict the behavior of these composites under various loading conditions, including tension, bending, shear, and fracture. Existing models primarily address …

Joseph Moxon: Fueled By Science, Extinguished By Class. How A Forgotten Middle-Classed Early Modern English Puritan Printer Mathematician And Globe-Maker Helped Forge The Scientific Revolution And Democratize Knowledge Among The Trades, Kenneth L. Macro Jr.

Master's Theses

Joseph Moxon, raised within the trades, elevated into the middle-class, was an inducted Fellow of the Royal Society, Hydrographer to the King’s Most Excellent Majesty, Printer, Author, Translator, Maker of Globes and of Spheres, Maker of Maps and of Mathematical Instruments, Engraver, and Entrepreneur. Moxon was the quintessential Renaissance Man. A tradesman living in a time of great scientific intrigue and discovery, Moxon, acknowledged by few mid-seventeenth century historians, rightfully contributed his scientific discoveries—in the forms of tutorials and manuals written for the common man—as a testimony to all printers who have helped in the progression of the Scientific Revolution. …

Ultrasound Denoising And Speckle Reduction Using Artificial Neural Networks, Mark Atttaalla

Master's Theses

This paper focuses on improving speckle reduction and denoising performance in ultrasound images by leveraging neural networks. A dataset of simulated ultrasound images was created using Field-II simulation software based on CT scan images, to create clean and noisy image pairs. Various Convolutional Neural Network models based on U-Net and generative adversarial networks were developed and tested. Peak Signal-to-Noise-Ratio (PSNR) and Structural Similarity Index Measurement (SSIM) were used as metrics along with qualitative assessment. Results show that our tuned U-Net generator network outperformed traditional filtering such as Lee and BM3D.

Policies And Price Controls On The Research And Development Of Orphan Drugs In The United States And The European Union, Bena Pearl Filipczak Smith

Master's Theses

There is substantive literature surrounding the impact of price controls on the research and development (R&D) of new pharmaceutical products. The European Union (EU) and United States (US) are often studied in contrast to examine the influence of price controls as the US has fewer pharmaceutical price controls than the EU.

We find moderate evidence that the US spent more on annual domestic pharmaceutical R&D than the EU between 2004 and 2021, on average, before and after adjusting for GDP growth per capita and year. We find strong evidence that the US increased annual domestic R&D spending at a faster …

Exploring Customer Behavior Through Emotion Detection, Darlington Omoifo

Master's Theses

This thesis investigates the potential of emotion detection, gaze tracking, and hand movement analysis as tools to enhance understanding of customer behavior in retail environments. In retail, subtle indicators such as facial expressions, gaze direction, and hand gestures provide valuable insights into customer preferences and decision-making processes. The study leverages real-time video processing with a multithreaded approach on a Raspberry Pi-powered system embedded in a gift cart equipped with dual cameras. Using FER for emotion detection and a custom model for gaze and hand tracking, this research identifies customer engagement patterns, focusing on how emotions like happiness correlate with purchasing …

Dynamic Knowledge Elicitation: Leveraging Student Feedback For Improved Language Model Distillation, Reuven Muller

Master's Theses

Large Language Models (LLMs) have significantly advanced the field of natural language processing but remain resource-intensive and impractical for many organizations. Specialist models offer a viable alternative, often developed through Knowledge Distillation (KD) techniques. However, traditional KD methods rely on predefined static datasets to elicit knowledge from the teacher model, failing to dynamically address the weaknesses of the student model during training. This research introduces two novel methods for adaptive knowledge elicitation: Feedback-Driven Question Generation and Agent-Based Targeted Question Generation. These methods iteratively expand the training dataset based on the student model’s performance, leveraging a teacher model to generate targeted …

Techno-Economic Analysis Of Waste Plastic Gasification, Henrik Don-Yor Ketting

Master's Theses

The increasing generation of plastic waste and its environmental impact has driven interest in alternative disposal methods such as gasification. This study presents a techno-economic analysis of the gasification of waste plastics, specifically polypropylene (PP) and polyethylene (PE), to produce syngas. A two-stage process—thermal decomposition followed by steam reforming—was simulated using Aspen Plus. The simulation results were validated against experimental data available in the literature. The economic analysis was conducted by estimating the capital and operating costs of the gasification plant, considering factors such as feedstock costs, energy requirements, and syngas purification systems. Net Present Value Calculations were used to …

Experimental And Numerical Investigation Of Droplet Dynamics In Microscale Systems: The Influence Of Surfactants And Nanoparticles On Environmental Applications, Negin Bahadori

Master's Theses

Emulsions are suspensions of droplets dispersed into an immiscible liquid phase, with at least a water phase and an oil phase. The capability to incorporate both hydrophilic and hydrophobic components makes emulsions amenable to a variety of applications, such as bilgewater treatment and oil recovery. To optimize bilgewater treatment or oil recovery, many aspects must be considered, such as the effect of emulsion stability, the wetting conditions and, more in general, the possibility to characterize droplet’s behavior over static or dynamic conditions. This thesis investigates the roles of surfactants and nanoparticles in understanding droplet behavior in oil-water systems, with a …

Machine Learning-Driven Process Analysis And Optimization In Solid-State Welding And Fusion-Based Additive Manufacturing, Radif Uddin Ahmed

Master's Theses

In the modern era of advanced manufacturing, optimizing process parameters is pivotal in ensuring the quality and reliability of sophisticated component fabrication. This study presents a novel, data-driven approach to parameter optimization in two cutting-edge manufacturing techniques: Friction Stir Welding (FSW) and Laser Powder Bed Fusion (LPBF). By leveraging machine learning methodologies, this research addresses the critical challenge of efficiently determining optimal process parameters, a task traditionally relying on time-consuming and resource-intensive trial-and-error methods. This study will lead to a robust data-driven framework for process analysis of more advanced manufacturing techniques like the Additive Friction Stir Deposition (AFSD) process. Friction …

Construction, Emplacement, And Structure Of Cretaceous Plutons In The Ebbetts Pass Region, North-Central Sierra Nevada Batholith, California, Hollianne C. Mcclure

Master's Theses

Field, petrographic, and geochronologic analyses were conducted for five Cretaceous plutons in the North-Central Sierra Nevada batholith to better understand their construction, emplacement, and deformation histories. All the plutons in the study area were constructed incrementally, but timing and degrees of mixing between increments vary. The lack of internal contacts and heterogeneity in the interiors of the Stanislaus Meadow and Ebbetts Pass plutons suggest that there were sizeable magma chambers where there was thorough mixing of increments. The West of Elbow, Lookout Peak, and Kinney Lakes plutons were constructed from small batches of magma based on their textural and compositional …

Using Moss As An Inexpensive Air Pollution Bioindicator For Environmental Equity In Santa Clara Country, California, Tam Dan Tran

Master's Theses

Toxins pervade urban areas and pose long-term health risks to humans. I examine moss as an affordable bioindicator and assess whether moss monitor results reflect other air quality (AQ) indicators, environmental factors, and social vulnerability. Specifically, I investigate (1) whether moss is an effective atmospheric pollution indicator and (2) whether low-income or high-lead-risk neighborhoods experience greater exposure to air pollution. I set out Hypnum cupressiforme moss for two months of exposure in 28 Santa Clara County locations and then measured chromium, zinc, nickel, and the loss of chlorophyll fluorescence in the moss tissue. I gathered real-time particulate matter (PM2.5) measurements …

Active Tectonics, Erosion Rates, And Topographic Metrics In The Hayword-Calaveras Fault Zone, Simone I. Yeager

Master's Theses

In northern California, the complex geometry of the San Andreas Fault system, and how it steps and propagates across the Earth’s surface, is revealed in the topography. Activity along the Mission and Arroyo Aguague oblique reverse faults, located where the right-lateral Hayward Fault steps to the left of the Calaveras Fault, are manifested in the Diablo Mountain Range. The high topography in the restraining step can be observed in lidar imagery and seismicity studies show these faults are connected at depth. In this study, we investigate active tectonics, erosion rates, and topographic metrics from the southern end of the restraining …

The Effects Of Stress On Attentional Networks, Alice Tsvinev

Master's Theses

The human brain has developed mechanisms to aid our survival, including attentional networks and stress response. Attentional shifts allow humans to react accordingly to their environment, following innate processes like fight or flight. Prolonged exposure to acute stress interferes with such cognitive processes as attention and working memory, impacting attentional systems. The present study examined the effects of acute stress on visual attention processes, specifically focusing on the orienting, alerting, and executive attention networks. 49 participants were randomly placed in either a stress or non-stress condition, then asked to reflect on either stressful or positive moments in their lives, respectively. …