Digital Commons Network^™

From Seizure To Settlement: Liberated Africans, Imperial Law, And Labor In The Indian Ocean World, 1810–1860, Holly S. Mcfate

Master's Theses

This thesis examines the relationship between British antislavery, imperial law, and labor management in the western Indian Ocean during the first half of the nineteenth century. Centered on the 1821 capture and condemnation of the slave schooner Industry by HMS Menai, the study employs a microhistorical methodology to reconstruct the legal and administrative processes that governed the lives of Africans seized from slave ships after their liberation. Drawing upon Vice-Admiralty Court records, Colonial Office correspondence, naval logbooks, and administrative registers from The National Archives (UK) and the Mauritius Archives, the thesis follows the transition of captive Africans from maritime interception …

Development Of A Video-Based Tool To Measure Motor Asymmetry In Infants At Risk For Hemiparesis, Roha Ali

Master's Theses

Congenital hemiparesis is a unilateral motor impairment stemming from brain injury in utero or early postnatally. Hemiparesis can be difficult to detect in early infancy with current clinical tools. Yet, early identification of motor asymmetry could play a key role in the design of effective early intervention and rehabilitation strategies. This thesis presents the development and validation of a video-based tool designed to extract infant limb movement data using DeepLabCut’s (DLC) machine learning network. The pipeline was developed using videos of typically developing (TD) infants and infants with Asymmetric Perinatal Brain Injury (APBI), all at or under 3 months corrected …

A Security Framework For Pacemaker Lead Failure: Anomaly Detection System And Failsafe Policy Considerations, Ethan Wagner

Master's Theses

Embedded system security in implantable medical devices (IMDs) remains an underexplored challenge due to the unique constraints of these systems. Specifically, pacemakers are optimized for ultra-low power consumption to maximize device lifespan, are highly resource constrained, and demand reliable and correct operation to prevent severe health consequences. These systems rely on sensing electrodes, called leads, to detect cardiac activity and stimulate the patient’s heart when appropriate. Therefore, pacemaker lead integrity is a critical issue, as malfunction or compromise can result in device failure jeopardizing patient safety.

The security framework presented in this thesis integrates several works to proactively detect and …

Large Scale Kmer-Based Proteomic Analysis: An Application Towards Evolutionary Constraint Discovery, Matthew Chak

Master's Theses

Large protein databases now make it possible to study short peptides across natural protein sequence space at unprecedented scale, but exhaustively counting k-mers across billions of protein sequences remains computationally difficult. This thesis develops an exact amino-acid k-mer counting method based on direct addressing, in which fixed-length amino-acid strings are encoded as base-20 integers and updated with a sliding-window recurrence. By avoiding key storage and collision resolution, this approach removes overhead inherent to hash-map-based methods when the k-mer space is sufficiently dense. A memory analysis shows when direct addressing is preferable to open-addressing hash tables, and expected-saturation calculations motivate its …

Perception Is Reality: Evaluating Transportation Satisfaction And Utilization In Continuing Student Housing At Cal Poly, Lucas Owens

Master's Theses

As higher education institutions increasingly mandate on-campus living to foster student success, the built environment becomes a critical determinant of daily mobility. California Polytechnic State University (Cal Poly) is transitioning to a two-year residency requirement and tightening vehicle restrictions. This thesis evaluates how the spatial and built-environment realities of peripheral housing complexes in Cerro Vista Apartments and Poly Canyon Village shape student transportation satisfaction and utilization, and emergency evacuation preparedness.

Employing a mixed-methods approach, this research triangulates data from 79 student surveys and 10 semi-structured interviews. The findings indicate that supplementing traditional metrics of proximity with localized spatial data presents …

A Proof-Of-Concept Design Of A High-Gain Deployable Reflectarray Antenna For A 3u Cubesat, Armin Behbahani

Master's Theses

CubeSats are a class of nanosatellites that have democratized space exploration by greatly reducing cost and complexity. Their small size and limited power generation directly limit the performance of a high-data-rate communication system due to low transmit power and limited gain from small antenna sizes. Transmission losses increase with higher operating frequencies, spurring the need for innovative high-gain antenna solutions. This thesis investigates the design of a deployable 10 GHz reflectorarray, a planar high-gain aperture antenna, for a 3U CubeSat. A simple variable-size square-patch resonant unit cell was designed for implementation on commonly available PCB layer stack-ups. Preliminary reflectarray system …

Neuron Notes, Araceli Franco, Ethan Diec, Max Blennemann, Shibo Cong

Computer Science and Engineering Senior Theses

Mainstream digital note-taking tools such as Notion, Microsoft OneNote, and Evernote organize knowledge around linear documents and rigid folder hierarchies, a structure that strays from the associative, graph-like nature of human semantic memory. Mind-mapping and linked-note systems such as XMind, Obsidian, Roam Research, and Logseq move closer to that associative model but still constrain users to short labels, automatic layouts, or page-centric workflows that underutilize spatial and visual recall. This thesis presents Neuron Notes, a spatial, graph-based note-taking system designed to align digital organization with how people actually form and retrieve ideas. The system is implemented as a three-tier web …

Patent Law's Trade Remedy, Michael L. Doane

Vanderbilt Journal of Entertainment & Technology Law

Although a trade remedy, not an intellectual property rights statute, Section 337 of the Tariff Act of 1930 plays an important and controversial role in the enforcement of intellectual property rights in the United States. As a trade remedy, Section 337 is designed and intended to promote innovation and investment in the United States through support of statutorily defined domestic industries against unfair competition from infringing imported products. This Article analyzes Section 337 as a trade remedy from the perspective of intellectual property rights owners and innovators such as start-up companies, universities, individual inventors, and other research and development-focused entities. …

William K. Hartmann, Scientist, Artist, Pioneer Of Planetary Science, Adam Eisenberg

Articles

For more than six decades, William K. Hartmann has helped shape modern planetary science, from pioneering crater-count dating to developing the leading theory of the Moon's formation. He has also created some of the most enduring artistic visions of other worlds. Adam Eisenberg caught up with him on the eve of his 87th birthday.

Technology Before, During, And After Incarceration: Current Product Landscape, Sociotechnical Concerns, And Legal Considerations In The U.S. Context, Yael Eiger, Taylor Hansen, Teanna Barrett, Jevan Hutson, Bryce Clayton Newell, Franziska Roesner

Articles

Emerging technology, including AI, is proliferating throughout the U.S. carceral system. These technologies are marketed to prisons and police departments and then procured using taxpayer money. Previous investigative reporting has exposed troubling kickback schemes, unconstitutional data collection practices, and biased algorithmic outcomes in a handful of prominent technologies (e.g., Flock, Palantir, Clearview AI, COMPAS). In this work, we consider the broader ecosystem of carceral technologies: we catalog 122 products from 53 companies selling technology to carceral institutions. In a collaboration among computer science, law, and surveillance studies scholars, we surface sociotechnical, ethical, and legal concerns related to the use and …

Anti-Allyship And The Indirect Subordination Of Queer People, Richard Luedeman

Washington Law Review

This Article theorizes and interrogates anti-allyship as a central mechanism of modern subordination of queer people. While not new, anti-allyship is expanding rapidly under the second Trump administration. Defined as the deliberate imposition of legal, financial, and reputational costs on those who support queer individuals or institutions, anti-allyship is a strategy of indirect oppression. It targets not queer people directly, but the infrastructure of support on which queer communities rely: clinicians, educators, family members, researchers, and organizations. In doing so, it often evades the formal protections of civil rights law, which remain tethered to anticlassification models and status-based protections that …

The Canons Fell Silent: An Analysis Of The Supreme Court's Failure To Use Statutory Interpretation Tools In Sackett V. Epa, Lauren Carlsen

Washington Law Review

In 2023, the United States Supreme Court denied decades of precedent, agency action, and the proper use of canons of interpretation in its decision in Sackett v. Environmental Protection Agency (Sackett). This case adopted the “continuous surface connection” test, which requires an indistinguishable surface water connection between a wetland and a navigable water to assert Clean Water Act jurisdiction over the wetland. This limitation on agency authority under the Clean Water Act was created through a statutory analysis that failed to apply the “Plain Meaning” and “Whole Act” canons of statutory interpretation. The Court narrowly applied the meaning of …

The Mayfly Newsletter, Donna Giberson

The Mayfly Newsletter

The Mayfly Newsletter is the official newsletter of the Permanent Committee of the International Conferences on Ephemeroptera.

Social Media Is A Juggernaut: Lagged Correlation Analysis Using Ngram Data On “Internet” And “Social Media” With Amplification By The Advent Of The “Iphone”, William Zywiak, Gao Niu, Nicolas Petrell, Victoria Nichele, Kirsten Hokeness

Mathematics and Economics Faculty Journal Articles

The amount of new information transmitted per day can be overwhelming. The data available through Ngram Viewer allows statistical examination to determine the most salient topics, as well as lagged correlation and lagged variance to support possible causal connections between concepts. Using this database, we determined that COVID, crypto, microplastics, and especially social media are important topics of the last few years. We also present results that suggest the development of the internet and the iPhone fueled the prominence of social media, and the access of the iPhone also increased access to the internet.

Trim-Transfer: A Transfer Learning Approach For Cross-Trim Level Can Intrusion Detection, Baylor J. Whitehead

Master's Theses

Modern vehicles contain many Electronic Control Units (ECUs) that communicate through CAN. While CAN enables efficient data communication, it lacks built in authentication and encryption, allowing adversarial actors to inject malicious CAN messages. This limitation has motivated the development of CAN intrusion detection systems (IDS). However, deploying IDS across a vehicle lineup requires collecting large labeled datasets and retraining models, increasing development cost and limiting scalability.

This thesis investigates the use of transfer learning with LSTM-based deep neural networks to reduce retraining cost while maintaining model detection performance. A baseline LSTM model is trained using CAN data from a base …

A Comparative Study Of Model Predictive Control And The Stanley Method For Vehicle Path Tracking Applications, Noah S. Fitzgerald

Master's Theses

This thesis compares a model predictive controller (MPC) and a lateral Stanley controller for vehicle path-tracking applications under simulation-based and perception-driven operating conditions. Both controllers were evaluated in simulation using a nonlinear dynamic bicycle model executing single and double lane change maneuvers. Following simulation-based evaluation, both controllers were implemented on hardware within a perception-driven steering-control pipeline. This pipeline utilized recorded sensor data from the MXcarkit 1/8^th-scale autonomous vehicle platform, incorporating lane instance segmentation and homography-based roadway estimation.

Under idealized simulation conditions, the MPC demonstrated improved trajectory-tracking performance during aggressive maneuvers while requiring greater steering activity and computational effort …

Constructing Orthonormal Bases With The Residuals Of Successive Approximations, An Introduction To Multiresolution Analysis, Elijah J. Guptill

Master's Theses

Wavelets and wavelet analysis are used in the study of signal processing, quantum field theory, functional analysis, multifractal analysis, and various other areas of mathematics. Multiresolution analysis provides a framework for building a wavelet basis of $\mathcal{L}^{2}(\mathbb{R})$ from a scaling function $\phi$, whose dyadic dilations and translations, $\{2^{j /2}\phi(2^{j}x-k):j,k\in \mathbb{Z}\}$, approximate $\mathcal{L}^{2}(\mathbb{R})$. One of the key properties of  $\phi$ is that it must satisfy $\phi(x)=\sum_{k\in \mathbb{Z}}{p_{k}2^{j /2}\phi(2^{j}x-k)}$ with respect to the norm on $\mathcal{L}^{2}(\mathbb{R})$. This equation is called a two-scale difference equation. Such equations enforce a regularity on the ordinary generating function $2^{-1 /2}\sum_{k\in \mathbb{Z}}{p_{k}z^{k}}$, known as the quadrature condition. …

Discrete S-Band Low-Noise Amplifier Designs For High Data-Rate Cubesat Uplink, Alejandro Martin Cosper, Alejandro Cosper

Master's Theses

In the world of small satellites, there is growing interest in higher-data-rate systems and the technologies that enable them. Due to limitations in the extremely reliable and proven Ultra-High Frequency (UHF) systems, the current CubeSats developed by the Cal Poly CubeSat Laboratory operate at 9600 Baud. However, the low Baud rate is rooted in decades of proven flights and is very resistant to many forms of signal degradation. While a slow but simple system was critical to past successes, future satellite payloads may require higher data rates to drastically reduce the number of passes needed to transfer large amounts of …

How Human Vs. Ai Chatbots Support Psychological Needs Of Students, Tymon T. Vu

Master's Theses

AI auto graders and virtual assistants are increasingly prevalent in educational set- tings. Although current literature demonstrates that AI chatbots can positively im- pact student motivation, there is little definitive evidence exploring whether these systems can replicate the effective motivational methods used by human teachers. Thus, in this experiment, we investigate how the perception of the identity of a tutor (AI versus human) impacts the psychological needs of students. 27 undergraduates taking introductory computer science courses were asked to explain code in plain English (EiPE). Participants received feedback from two tutors in within-subjects fashion: one human and one labeled as …

A Study On Quantization And Hardware Cost Tradeoffs In A 5g Nr Ldpc Decoder On Fpga, Giancarlo Acosta

Master's Theses

The fixed-point implementation of a 5G New Radio LDPC decoder forces a tradeoff between precision and hardware cost, governed by the variable node word length W_L, the check node message width W_R, and the normalized min-sum correction factor α. This thesis characterizes how these three parameters affect both error correction performance and FPGA resource utilization for an LDPC decoder on an established LDPC decoder architecture. A bit-accurate MATLAB core model records bit error rate (BER) and frame error rate (FER) while a verified HDL Coder model generates synthesizable VHDL for Vivado synthesis, and both are swept …

Deep Learning For Affect Recognition: A Comparative Study Of Physiological Sensor-Based And Facial Image-Based Approaches, Ravi Panchal, Ravi Panchal

Master's Theses

This thesis investigates deep learning approaches for affect recognition using wearable physiological signals and facial image data. The sensor-based component evaluates stress and affect recognition on the WESAD dataset using wrist-based physiological windows and examines multiple temporal modeling strategies, including convolutional, recurrent, hybrid CNN-LSTM, attention-based, ensemble, and time-frequency approaches.

The image-based component evaluates hard-label facial expression recognition on AffectNet+ using pre-trained ResNet-50, EfficientNet-B3, and ConvNeXt-Tiny architectures across Easy, Challenging, and Difficult subsets representing different levels of expression ambiguity.

Experimental results show that the proposed Multi-Branch Attention CNN-BiLSTM (MBA-CNN-BiLSTM) model achieves the strongest wearable stress- and affect-recognition performance among the evaluated …

Integrating Sustainability Into Engineering Education, Riley R. Moller

Master's Theses

Engineering decisions shape lasting technology that affects environmental integrity, public safety, economic stability, and social equity. As global challenges such as climate change, infrastructure vulnerability, and rapid technological advancement intensify, the responsibilities placed on engineers continue to expand. Sustainability provides a framework for addressing these interconnected pressures through systems-based design and long-term thinking. Yet, sustainability education within engineering programs remains unevenly integrated, often positioned as elective or peripheral rather than as a foundational component of professional preparation.

Prior research shows that sustainability is most frequently addressed through stand-alone courses rather than embedded across required curricula, reflecting disciplinary structures that prioritize …

Reproducing And Evaluating Charger Surfing: Robustness Of Smartphone Charging-Line Side-Channels, Colby M. Watts

Master's Theses

Smartphones are frequently connected to external, untrusted charging hardware, creating opportunities for side-channel attacks that do not require malware or direct access to device data. Charger Surfing, a recently proposed charging-line power analysis side-channel attack, reported high accuracy in inferring touchscreen input from voltage measurements collected from a smartphone’s charging cable; however, the reproducibility and robustness of these results under different conditions remain unclear. This thesis presents an independent replication and evaluation of Charger Surfing, including the development of an end-to-end data collection pipeline consisting of a modified charging cable, oscilloscope-based recordings, custom Android app, automated trace processing, and convolutional …

Improving The Reliability And Performance Of A Supersonic Indraft Tube Wind Tunnel, Christian J. Kaml

Master's Theses

Access to supersonic testing is increasing in demand, and wind tunnels remain one of the safest and most cost-effective methods for gathering high-speed flow data. Despite being more economical than alternative options, supersonic wind tunnel facilities often require substantial investment to construct, operate, and maintain.

The novel indraft tube tunnel architecture was conceived as a high-speed flow testbed that incorporates features of both Ludwieg tubes and indraft wind tunnels to maintain costs low enough to be accessible even to small universities. This design was first developed and tested in 2018 at California Polytechnic State University, featuring a cost per test …

Preserving Structural Alias Information Across The Mlir-To-Llvm Lowering Boundary, Shravan Sheth

Master's Theses

Machine learning training and inference workloads run at massive scale, where the efficiency of generated machine code directly affects throughput and energy consumption. The compilers that lower model specifications to hardware instructions rely on optimization passes that can only exploit information visible in the representations they operate on. MLIR, the intermediate representation framework underlying production machine learning compilers such as IREE and Triton, is designed so that each abstraction level can encode semantics that lower levels cannot represent. One example is memref.subview, which partitions a buffer into typed regions with explicit offsets and sizes, making structural non-overlap provable from the …

Praxsmith: An Actor-Centric Domain Specific Language For Emergent Narratives In Video Games, Jacob C. Kelleran

Master's Theses

The video game industry is rapidly growing, and interest in game development is growing alongside it. Among this growing interest is a desire to include branching and emergent narratives in games. This subject is understood to be difficult, as every possible trajectory within the story creates exponential complexity. Large studios are sometimes able to create convincing implementations, but that is often with hundreds of developers and writers. Over the years, various solutions have been proposed to create frameworks and languages that aim to tackle this problem, with varying degrees of success. Some frameworks attempt this by placing the focus on …

An Evaluation Of Road Network Structure As A Predictor Of Traffic Volume, Colin M. Mcdonald

Master's Theses

This thesis evaluates the relationships between various graph theory metrics and taxi traffic volume for the cities of San Francisco, California and Porto, Portugal. We also evaluate a modified betweenness centrality metric which incorporates the count of distinct origin-destination pairs from the taxi data as the weight function. This thesis extends a paper by Pengyao Ye, Bo Wu, and Wenbo Fan by reducing circularity through a temporal train-test split and by comparing both line-graph and primal-graph formulations of betweenness centrality.

We found that past traffic volume is almost perfectly correlated with future traffic volume and that the modified betweenness centrality …

Research And Assessment Of Needs For Sign And Signal Maintenance, Megan White, Eric Green

Kentucky Transportation Center Research Report

Kentucky Transportation Cabinet (KYTC) sign and signal crews have expressed multiple concerns related to compensation, expertise, and having the financial and personnel resources needed to help the agency comply with Manual on Uniform Traffic Control Devices (MUTCD) guidelines while continuing to perform routine job duties. Internal reorganizations and personnel changes have reduced staffing and budgets available to underwrite the activities of sign and signal crews even as workloads have remained steady or increased. To document the challenges facing sign and signal crews and associated engineering staff, Kentucky Transportation Center (KTC) researchers administered a statewide survey. Respondents gave their perspectives on …

Building And Facility Asset Inventory Assessment And Maintenance, Catherine Keathley, Bethany Paris, Jon Wilcoxson

Kentucky Transportation Center Research Report

The Kentucky Transportation Cabinet (KYTC) manages approximately 1,500 buildings statewide, including facilities such as office buildings, maintenance and equipment garages, and storage sheds. Because managing buildings and properties requires considerable effort, agency decision makers need reliable monitoring and management tools that generate and organize data which can be used to determine the best course of action for facility maintenance and replacement. In addition to assessing the Cabinet’s building inventory, this report advances recommendations to improve the collection, management, and reporting of facility-related data. Assessment of the inventory managed by KYTC included geolocation of all properties and the buildings therein. Once …

The Montana Travel Industry - 2025 Summary, Melissa Weddell

Institute for Tourism and Recreation Research Publications

In 2025, Montana welcomed 13.2 million visitors — a 4% decline from 2024 — who collectively spent $5.6 billion across the state. Tourism supported 52,610 jobs (1 in 11 statewide), generated $360 million in state and local taxes, and saved the average Montana household over $740 in taxes. Glacier Country led regional spending at $1.79 billion, followed by Yellowstone Country at $1.34 billion. The typical visitor was 57.8 years old, traveled in a group of 2.2, stayed 5.2 nights, and arrived primarily by car (74%). Top origin states were Washington, Idaho, and North Dakota. Visitors were drawn most by mountains …