Digital Commons Network^™

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 …

Developing A Humpback Whale Vocalization Detector Using Machine Learning Models, Lucas Kantorowski

Master's Theses

Humpback whale songs are notoriously complex. Identification of humpback whale song units requires bioacousticians to tediously listen, analyze, and annotate collected sound data. Even sparse data requires listening to the entirety of the collected acoustic data. In this study, three hours of audio containing over one-thousand humpback whale song units was collected in Monterey Bay, California.

Prior studies have seen success using convolutional neural networks by performing image classification on hundreds of hours worth of spectrograms. Our study uses traditional machine learning models, as they are less computationally demanding, and require less data.

We use time splitting and Mel-frequency cepstrum …

Discovering Differentially Correlated Sets Across Multiple Treatments, Tyler J. Stoen

Master's Theses

When comparing data sampled under several different conditions, we often want to study not only the overall treatment effect but also how treatments influence the relationships among variables. Differential Correlation Mining (DCM) is an existing method for identifying groups of variables whose average pairwise correlation differs significantly between exactly two sampling conditions. We extend this framework to the setting of three or more treatments, where the goal is to identify variable sets whose pairwise correlation structure varies across all conditions simultaneously. Our proposed method, VSAT for three or more treatments, generalizes the DCM search procedure using a multi-treatment hypothesis test …

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 …

Movement And Space Use Of Weaned Northern Elephant Seal (Mirounga Angustirostris) Pups During Their First At-Sea Foraging Migration, Katie Saenger

Master's Theses

The northern elephant seal (Mirounga angustirostris) is a marine mammal known for engaging in long foraging migrations at sea. Adult male northern elephant seals follow pathways along the western coast of North America towards Alaska and adult female northern elephant seals follow pathways to open ocean in the North Pacific. However, there is little information on weaned northern elephant seal pup foraging behavior during their first foraging migration. This lack of knowledge is significant because northern elephant seals have a mortality rate of >50% in the first year. This project aimed to better understand the at-sea migratory movement …

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 …

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 …

Design And Analysis Of A Customizable 6-Dof Force/Torque Sensor, Pyeongkang Kim

Master's Theses

This thesis presents the design, development, calibration, and testing of a novel customizable six-degree-of-freedom force/torque sensor, called the Kustom Force/Torque Sensor (KFTS), for use in the Cal Poly Low Speed Wind Tunnel (LSWT). The KFTS was developed as an alternative to commercial multi-axis force/torque sensors that feature fixed specifications. The swappable components and configurable structure of the KFTS enables changes to the sensor sensitivity, sensing range, and frequency response. Experimental testing verified that the sensor behaved as a linear time-invariant system, enabling calibration through the method of least squares and allowing the applied forces and moments to be reconstructed as …

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 …

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 …

Transportability Analyses In Comparative Effectiveness Research, Blythe Adamson, Wei Liu, Stephen Duffield, Anouk Déruaz-Luyet, Dimitri Bennett, Montse Soriano Gabarró, Mehmet Burcu, Daniela Claudia Moga, Sarah Welby, Tianze Jiao, Xuerong Wen, Grammati Sarri

Epidemiology and Environmental Health Faculty Publications

The Problem: Transportability considerations are increasingly important to answer research questions in comparative effectiveness research (CER) to support the transfer of evidence on medicinal products across countries or settings. As drug development costs rise and healthcare systems and professionals face economic and resource pressures, leveraging existing data and evidence generated across borders or settings can improve efficiency and inform decisions in product development and decision-making (regulatory, health technology assessment [HTA] and clinical care). Differences in population characteristics, healthcare systems, and data availability, including coding discrepancies, may present significant challenges to the transportability of CER evidence. Without rigorous methodological approaches, the …

Fairlinked: Data Fairification Tools For Materials Data Science, Van D. Tran, Brandon Lee, Ritika Lamba, Henry Dirks, Quynh D. Tran, Balashanmuga Priyan Rajamohan, Ozan Dernek, Laura S. Bruckman, Yinghui Wu, Erika I. Barcelos, Roger H. French

Student Scholarship

FAIRLinked is a software package created to support the FAIRification of materials science data, ensuring proper alignment with FAIR principles: Findable, Accessible, Interoperable, and Reusable. It is built to be compatible with MDS-Onto, an ontology designed to capture the semantics of various types of materials data, enabling integration and sharing across different research workflows. The package is subdivided into three subpackages: InterfaceMDS, RDFTableConversion, and QBWorkflow. The first subpackage, InterfaceMDS allows users to search for terms using either string search or various filters, explore different domains and subdomains, and add terms to MDS-Onto. RDFTableConversion is used for serialization and deserialization of …

Table Of Contents, Editorial Board, Law School Faculty And Administration, University Of Nevada, Las Vegas William S. Boyd School Of Law

Nevada Law Journal

No abstract provided.

It’S Not A Constitutional Crisis, It’S A Course Correction, Mark Rush

Nevada Law Journal

No abstract provided.

Privacy As A Democratic Guardrail: A Case For Fourth Amendment Constraints On Micro-Targeted Rhetoric, Susan Tanner

Nevada Law Journal

No abstract provided.

Beyond The Mortality Paradox: Redesigning Uti Care For People Living With Dementia Through Diagnostic Stewardship, Rob E. Carpenter

Human Resource Development Faculty Publications and Presentations

Managing urinary tract infections (UTI) in people living with dementia presents a mortality paradox: clinicians must balance the risks of antibiotic overuse against the dangers of delayed treatment in high-risk phenotypes. Standard diagnostic criteria often rely on classic, localizing markers like fever and dysuria. However, these gatekeeper signs are frequently absent or blunted in dementia care due to age-associated immune dysregulation and immunosenescence. Consequently, infections often manifest as nonspecific neurobehavioral changes, leading to predictable misclassification and harmful diagnostic delays. This paper reframes UTI management in dementia as a clinical pathway and measurement architecture problem. We propose a verification-first service pathway …

Kytc Crash Modification Factor Recommendation List Online Tool, William Staats, Reginald Souleyrette, Teng Alex Wang, Mohammad Zana Majidi

Kentucky Transportation Center Research Report

Transportation practitioners use crash modification factors/functions (CMFs) to calculate the number of crashes expected once a countermeasure has been implemented. When evaluating design alternatives, CMFs can be used in conjunction with safety performance functions (SPFs) to derive crash predictions. The Federal Highway Administration (FHWA) maintains the CMF Clearinghouse as a repository for CMFs. Contributions are submitted by researchers across the U.S., Canada, and throughout the world. Typically, individual countermeasures are associated with multiple CMFs. Some CMFs only apply to a specific facility or crash types. CMF quality varies, and some only apply to a specific facility and/or crash types, regions, …

The Polysubstance Assessment Tool, Amanda M. Bunting, Charles M. Cleland, S. Michaela Barratt, Brittany Griffin, Jaimee Williams, Carrie B. Oser, Joshua D. Lee, Jennifer Mcneely

Sociology Faculty Publications

Background and aims: There are currently no brief quantitative assessments that capture the drug patterns of people who engage in use of more than one drug on the same day or simultaneously. The current study examined the retest reliability, acceptability and feasibility of a new quantitative assessment to measure polysubstance use. Design: A tool for assessing simultaneous and same-day polysubstance behaviors, the polysubstance assessment tool (PAT) was developed in interviewer-administered and electronic self-administered formats. Participants were allocated 1:1 to receive either version of the PAT and returned one to three days later to repeat the assessment. Setting: New York City, …

Forecasting With Uncertain Persistence, Joel Flynn, Maksim Meinert, Karthik Sastry

Cowles Foundation Discussion Papers

With uncertainty about persistence, we show that forecasts necessarily become more persistent and over-react at long horizons. For these reasons, correctly specified and Bayesian forecasts may under-react at short horizons and over-react at long horizons. These results provide a unified explanation for several asset pricing and forecasting puzzles, including: (i) the excess responsiveness of long-horizon rates to short rates, (ii) the dominance of apparent term premia for long-term rates, (iii) the ex post predictability of bond yields, (iv) the excess volatility of long-horizon forward prices, (v) the excess persistence of long-horizon forecasts, and (vi) the over-reaction of long-horizon forecasts.

From Unstructured Data To Demand Counterfactuals: Theory And Practice, Timothy Christensen, Giovanni Compiani

Cowles Foundation Discussion Papers

Empirical models of multi-product demand rely on low-dimensional product representations to capture substitution patterns, increasingly using proxies built from unstructured data. When proxies are imperfect, standard workflows yield biased counterfactuals and invalid inference. We develop a practical toolkit to address these issues. Our methods apply to market-level and/or individual data, require minimal additional computation, provide simple standard-error formulas, and accommodate proxies from fine-tuned models. Further, we propose diagnostics to assess proxy quality. Our methods yield meaningful improvements in predicting substitution in empirically calibrated simulations and in an application where we assess counterfactual prediction performance against a ground truth.

Veiled Justice: Secularism And The Hijab Across Democracies, Mohamed ‘Arafa

Seattle University Law Review

For much of 2022, Iran was gripped by widespread protests led by women who openly challenged the regime’s authority, particularly its compulsory veiling laws, following the death of Mahsa Amini in police custody. Women around the globe came around and showed solidarity with the women in Iran. However, in non-Islamic countries and societies, one can still make out many prejudices and stereotyping connected to the question of whether and to what extent veiling is mandatory for women according to Shārīe’ā law. Is wearing the hijab a choice, or rather, an essential religious practice that religious Muslim women need to obey? …

Changing The Definition Of Medical Expenses To Include Preventative Health: The Phit Act, Amy Bantham, Tom Richards, Mike Goscinski

UMKC Law Review

No abstract provided.

The Wellness Data Conundrum: Privacy, Power, And Regulation Beyond Hipaa, Gary Hsuanyu Liu

UMKC Law Review

No abstract provided.

Rewriting The Playbook: The X’S And O’S Of The House Settlement And The Future Of Student-Athletes’ Voice In Their Compensation, Matthew K.V. Glazer

Seattle University Law Review

Since the formation of the National Collegiate Athletic Association (NCAA) in the 1900s, collegiate athletes (student-athletes) have been prohibited from using their own name, image and likeness (NIL) for profit. But on July 1, 2021, the NCAA changed course and began allowing student-athletes to profit from their own NIL. In the past few years, U.S. college athletics have undergone significant changes, most notably introducing monetary compensation for student-athletes’ NIL. While these changes were long overdue and ultimately beneficial, they have significantly disrupted the landscape of college sports, giving rise to numerous challenges that some experts have compared to the “Wild …

Mr. Trump Goes To Washington Part Ii: A Review Of Richard Delgado's 2025, Kevin Johnson

Seattle University Law Review

Richard Delgado’s The Rodrigo Chronicles have captivated a generation of law students and legal scholars.  Mapping the terrain of race, racism, and Critical Race Theory (CRT), the skillful, and long-running narrative series stands as a testament to Delgado’s dedication to justice for all.

The Rodrigo Chronicles are simply one of Delgado’s many intellectual contributions and part of an unparalleled scholarly legacy.  As one of the founders of CRT, he produced a landmark body of scholarship –authoring the field's primary text,  making the argument for the regulation of hate speech,  forcefully challenging the Black/white binary of civil rights that long dominated …

Me3329 Modular Phonograph Gearbox, Garrett Andrik Leighton, Preston Robert Hupe, Gavin Carter Ebner, Andrew Renato Reyes

Mechanical Engineering

The Mechanical Engineering Department at California Polytechnic State University, San Luis Obispo (Cal Poly), seeks to develop a laboratory tool allowing students to reinforce concepts of gears for Mechanical Systems Design (ME329). Some current laboratories do not provide students with hands-on interaction, and the department lacks equipment and documentation to support a standardized lab. With ME329 expanding from ten to fifteen weeks, there is an opportunity to create a physical gearbox design lab allowing students to reinforce lecture material in engaging ways, while standardizing student learning. This senior project is presented and sponsored by Professor Alan Zhang. It will be …

Western Kentucky University Stormwater Utility Survey 2026, Warren Campbell

SEAS Faculty Publications

In the U.S., more than 2200 stormwater utilities have been enacted. This year, we have expanded the survey to include stormwater utilities in other countries. Many of these stormwater assessments are called taxes, but if the assessment is recurring, is not an ad valorem tax, and is dedicated to stormwater purposes, we call it a stormwater utility. With the help of ChatGPT we have been able to identify 25 stormwater fees in Australia. We were also able to identify 3 in New Zealand, and some in Europe as well.

"It Comes Back To My Identity, It's Who I Am": Sustaining Mid-Career Latine Bilingual Teachers, Soarlyn Lopez

Theses and Dissertations

This qualitative case study explores the factors motivating mid-career (4–15 years) in New York City (NYC) to stay in the profession beyond the novice years (1–3 years), as well as the challenges they face. Utilizing self-determination theory and language ideologies as theoretical frameworks, this study captures the motivating factors and challenges of 15 mid-career bilingual teachers across NYC. Findings indicated that relationships with students and colleagues, professional growth, supportive administrators, and alignment between language ideologies and program structures served as motivating factors to remain in the profession by reinforcing teachers’ sense of relatedness, competence, and autonomy. Motivating factors that supported …

Stories Of Social Transformation And Resistance: A Narrative Inquiry Into The Culturally Sustaining Practices Of Teachers Of Color, Daniel E. Hernandez

Theses and Dissertations

In the United States, persistent inequities in schooling have intensified the need for asset-based  frameworks, such as culturally sustaining pedagogies (CSP), to support students from  communities that have been historically racialized and minoritized. At the same time, growing  political and social resistance to practices of diversity, equity, and inclusion (DEI) has created  barriers for schools and teachers seeking to implement culturally responsive approaches to  teaching and learning. Using narrative inquiry, this dissertation explores the stories of three culturally  sustaining teachers of color to understand how they enact resistance and pursue social  transformation in their classrooms and schools. Through an examination …