Digital Commons Network^™

Toe's Lighters And Accessories, Ryan M. Nolan

Graphic Communication

This senior project focused on creating a cohesive advertising campaign for Theo’s Lighters, a student-owned business that refurbishes and resells collectible lighters. The campaign included a promotional video and a branded product catalog designed to strengthen the company’s visual identity and broaden its audience. By combining photography, videography, graphic design, typography, and sound design, the project presented the products as style-oriented accessories connected to sustainability, self-expression, and contemporary campus culture. The completed campaign demonstrates the effectiveness of integrated visual storytelling while showcasing professional skills in branding, multimedia production, and user-focused design.

Formula Sae Planetary Gearbox Characterization Dynamometer, Trevor Marco Toma, Thomas Welden Pierce, Ethan Liu

Mechanical Engineering

This report outlines a custom hub motor dynamometer requested by the Cal Poly Racing FSAE team. The need for this testing platform is to characterize an existing Formula SAE planetary gearbox for a proposed 4WD powertrain. Hub motors, compact electric machines integrated directly into each outboard wheel, offer significant advantages in efficiency, traction, and chassis packaging compared to conventional RWD drivetrains. By mapping torque capacity, efficiency, lubrication method effectiveness, and fatigue life, the team can validate gearbox design and performance.

This senior project group designed and built a dynamometer according to these specifications which will allow for successful testing to …

Report On The Ethical Use Of Ai For Participatory Planning, Sahana Kotha, Blythe Wilson

City and Regional Planning

This report provides an overview of key considerations for using artificial intelligence for community engagement in urban planning. As interest in AI adoption in the public sector increases, an understanding of ethical issues is needed to guide responsible AI implementation. Informed by a literature review and interviews with urban planning practitioners and academics, this report describes and analyzes different AI-supported community engagement methods, explores case studies, and outlines key concerns and opportunities for using AI. We recommend that AI use for community engagement prioritizes transparency, human oversight and accountability, intentional AI implementation, and community involvement.

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 …

Exploring Regenerative Vegetable Systems On The Central Coast Of California, Una S. O'Connell

Master's Theses

As climate change and current agricultural practices place pressure on the long term sustainability and resilience of food production systems, there is growing interest in whether existing agricultural systems can adapt to maintain productivity while improving environmental outcomes.

This study evaluated the effects of regenerative versus standard organic vegetable production systems on yield, insect communities, and weed suppression across three field trials conducted on California's Central Coast. In addition, I collected baseline soil health data for all trials. Trials 1 and 2 were carried out at the Cal Poly San Luis Obispo Organic Farm using cabbage and broccoli as cash …

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 …

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 …

Douglas Fir Bending Strength At Sub-Pyrolytic Temperatures And Aftermath, David Kroeker, Aran Badasian

Architectural Engineering

Current fire design for wood framed buildings assumes a protective layer of charring and the material beyond that layer is entirely undamaged after the fire. It is documented that wood does experience a loss of ultimate capacity during a fire, however, the bulk of tests providing the reduction in capacity have been in tensile and compressive tests. The tests described in this paper were conducted to investigate the reduction in bending strengths both during and after being raised to pre-pyrolytic temperatures. These tests confirmed current design practices as laid out in the National Design Specification for Wood Construction 2024, while …

Matlab Shake Table Control And Data Acquisition System, Abigail Austin

Architectural Engineering

The College of Architecture and Environmental Design’s (CAED) seismic laboratory shake table is used for earthquake engineering education and experimental testing. However, the existing control system is outdated and difficult for students unfamiliar with the system to operate. The objective of this project was to develop a MATLAB-based control and data acquisition application to simplify shake table operation and improve accessibility, of both operation and output, for student users.

The developed application imports earthquake acceleration records, scales the input motions to the operational limits of the shake table, and executes the desires motion through the existing hardware system. Experimental data …

Develop & Test Radar Assignments For Future Graduate Curriculum, Thomas Ky Hong, Christopher William Hoferer

Electrical Engineering

With Cal Poly’s switch to semesters, many upper-level electives lack enough depth and structured content for the new 15-week format. In addition, while the Electrical Engineering department currently offers approximately five weeks of RADAR-focused laboratory material within EE 424: Intro to Remote Sensing, this limited exposure is insufficient to provide students with a comprehensive understanding of RADAR theory and practical applications. The semester conversion presents a timely opportunity to expand this existing five-week RADAR segment into a full 15-week course that integrates both lecture and laboratory content. To address the current curriculum gap, we have seamlessly extended the RADAR exercises …

Vision-Guided Motion Planning For Autonomous Catch With A Robotic Arm, Kayla Go-Oco, Ashik K. Islam, Raegan Gritzmacher

Electrical Engineering

Modern robotic systems are often evaluated using static and highly controlled tasks, such as pick-and-place demonstrations, which do not fully represent the uncertainty and adaptability required in real-world environments. A major challenge in robotics research is enabling robotic systems to perceive, track, and respond to dynamic objects in real time while maintaining accurate and reliable motion control. This project addresses these challenges by developing an autonomous robotic platform in which an OpenMANIPULATOR-Y robotic arm detects, tracks, and attempts to catch a moving tennis ball using a vision-guided control system. The system integrates YOLO-based object detection with an Intel RealSense D455 …

Muon Lifetime: Theory, Experiment, And Simulation, Soren Agustin Munoz

Physics

This senior project investigates the muon lifetime through three complementary approaches: theoretical calculation, laboratory measurement, and computational simulation. The theoretical component develops the necessary background from relativistic field theory to the effective weak interaction, culminating in the leading-order Fermi-theory prediction of τ ≈ 2.2 μs, which explains why the muon lifetime lies on the microsecond scale.

The experimental component measures the lifetime of stopped cosmic-ray muons using a plastic scintillator, photomultiplier tube, and analog timing electronics. A binned Poisson likelihood fit to the primary 15-day acquisition run τ = 2.17^+0.03_-0.09 μs, consistent with the accepted value within the …

Compressor Rotor Joints And Interference Fit Study, Isabela Jimenez, Aubrey Perez, Isaiah Guerrero, Jireh Velasquez

Mechanical Engineering

Solar Turbines need a comprehensive study on the effects axial and radial inference fits have on turbine compressor rotor stiffness. The aft weldment of the compressor has press-fit dowel pins and pilot joints to connect one weldment section to another. These fits need to be assessed through a finite element modal analysis, as well as practically tested through modal impacts to investigate how the fits affect the stiffness of the turbine’s connected weldments. The experimental data will be used to validate the finite element analysis (FEA) model.

Forged Carbon Fiber Adventure Project, Timothy Villafana, Victor Javadoff, Nathan Pittiglio, Cooper Starr

Mechanical Engineering

Forged carbon fiber compression molding remains a relatively under-researched manufacturing process. While there are documented processes online, the options are few and far between. Our sponsor and case-study user, Dr. Mello, tasked us with the goal of researching and developing a process for forged carbon fiber compression molding through means of modifying his prototype of a bike pack handlebar cradle (figure 3). This prototype will allow us to create tooling which will be used to manufacture a handlebar cradle that can withstand larger loads and more extreme environments using our developed process. A handlebar cradle is a structural support for …

Raytheon Rtx Autonomous Vehicle Competition (Avc) - Unmanned Ground Vehicle (Ugv), Bryant Jonathan Martinez-Bautista, Geovanni Lara, Jared Herrera, Jose Barrera

Mechanical Engineering

Raytheon RTX has four universities participating in a competition to successfully complete various challenges with a UAV and UGV including navigation and landing. The students must work collaboratively to integrate and manufacture a working UGV that is compatible with the UAV.

Our sponsor is Raytheon, more specifically Mr. Luis Esparza. Important stakeholders also include Cal Poly and the entire team of ME & CPE working on the project. Raytheon and Luis are looking for innovative solutions that can be applied for real world scenarios where UAV’s and UGV’s are applied. Cal Poly is gaining recognition, and the team is gaining …

Buell Motorcycle Extended Swing Arm, Joseph Camuccio, Riley Clark, Vincent Sclimenti, Tristan Turcios

Mechanical Engineering

Buell motorcycle riders, including our sponsor Rick Lasko, need a way to easily and affordably manufacture and replace their swing arms with extended versions (4”, 8”, 12”, and 16”) that maintain the stock Buell aesthetic while also meeting the safety standards required for performance-intensive applications, such as drag racing. Each extended swing arm must be just as safe, strong, and rigid as the original swing arm. Currently, there is no convenient and affordable solution to this problem, which is why our sponsor, Rick Lasko, wanted a validated, repeatable manufacturing process and design that would allow riders to safely and consistently …

Guitar Pickup Testing Fixture, Koen Graue, Ethan Rezentes, Max Schecter, Timothy Webb

Mechanical Engineering

Small guitar pickup manufacturers and hobbyists have an interest in developing guitar pickups with unique tonal characteristics and responses, but currently lack a reliable way to test these pickups and characterize their sound. I.M. Bohannon Mechanical Design approached the team to develop a solution to this problem. In response, the team researched current technologies, customer needs, and existing products on the market to define the scope and requirements for a guitar pickup testing fixture. This report documents the work completed during the project scope and definition phase of Cal Poly's senior project process. It discusses researched topics and existing solutions, …

Xylem: A Comparative Analysis Of Gpu Dispatch Pipelines For Large-Scale, Procedural Environments, Srinivas Sundararaman

Master's Theses

The real-time rendering of large-scale, procedural scenes presents a significant performance challenge for traditional CPU-bound rendering pipelines. The high volume of draw calls and the need for complex culling and level-of-detail management create bottlenecks that limit scene complexity and visual fidelity. This thesis investigates the evolution of GPU-driven rendering paradigms via the Xylem renderer within NVIDIA’s Donut rendering framework as a solution to these challenges.

A comprehensive benchmarking framework is developed to implement and quantitatively analyze three distinct rendering strategies for a procedurally generated, parameterizable, large-scale forest scene. The evaluated pipelines include: (1) traditional instanced rendering, (2) compute-driven indirect rendering …

Pet Mobility Project, John Shelby, Lily-Rose Jolie Bacon, Andrea Yasmine Reyes

Biomedical Engineering

The Pet Mobility Project, sponsored by Terri Smith and Jasper Jackson, is an initiative aimed at providing a custom mobility aid to a pet in the San Luis Obispo community. Amber Rappozo’s young German Shepherd, LeDoux, was selected as the project’s recipient. LeDoux suffers from hindleg weakness and, as a result, has limited mobility. This document provides a comprehensive overview of the Pet Mobility Project, detailing the motivation, background, and design approach behind the development of a LeDoux’s custom mobility aid.

Cardiac Twitch Force Measurement System, Tara Hoffman, Sebastian Carrascal Gómez, Julian Macdonald

Biomedical Engineering

The goal of this project is to develop a low-cost and accurate force measurement system and method of measurement to be used in the testing of grown cardiac tissue samples. The primary stakeholder in this project is Dr. Luke Perreault, a biomedical engineering professor at California Polytechnic State University San Luis Obispo who is studying grown cardiac tissue rings, and any of his student lab personnel. Other stakeholders include other researchers in the tissue engineering field who require a similar form of testing to the methods developed in this project.

This document will introduce the identified problem and background as …

Design And Implementation Of An Intelligent Wearable Health Monitoring System Using The Shimmer Platform, Christopher Tu, Rafael Martinez

Computer Engineering

This report goes over the wearable health monitoring system that we built that uses an activity classification system to tell what you are doing real time. We used a Shimmer3 sensor to collect accelerometer data and streamed it via Bluetooth to our laptops where we processed the data and ran a machine learning classifier to detect if someone is resting, walking or running. We collected our own data to train the Random Forest classifier that we used from scratch and ended with 98% accuracy. The system has a live dashboard implemented into it that shows sensor data and the current …