Digital Commons Network^™

Ugv-Based Vertebrate Pest Deterrence In Vineyards: Vision-Guided Row Patrol And Navigation, Candace Qualls, Karina Wilson, Ben Badhorn

Electrical Engineering

An increase in agricultural demands and the need to sustainably protect crops has created a need for autonomous navigation through a vineyard with a verified pest detection and deterrence system. Developing this solution revealed several challenges. First, the robot must reliably navigate through structured, repetitive vineyard rows. Second, pests must be detected accurately under changing environmental conditions. Lastly, the system must respond with a chosen deterrent within an appropriate time window, all while minimizing false triggers. To address these challenges, this project uses a Husky A200 unmanned ground vehicle equipped with a 2D LiDAR sensor, an Intel RealSense RGB camera, …

Uav Trio Formations For Aerial Pest Deterrence With Vision-Based Bird Monitoring, Benjamin Andrew Ly, Chris Kwon, Christian Joseph Macaranas

Electrical Engineering

No abstract provided.

Portable Food Pasteurization Using Pulsed Electric Fields (Pef), Thomas E. Mcmillan Iii

Electrical Engineering

Foodborne illnesses remain a significant public health concern, motivating continued development of alternative food pasteurization technologies. Pulsed electric field (PEF) treatment is a non-thermal pasteurization method that inactivates microorganisms through electroporation while minimizing thermal degradation of food products. The long-term objective of this project was development of a portable PEF food pasteurization system.

An iterative design approach was used to investigate generation of the high-voltage pulses required for PEF treatment. Multiple pulse forming network topologies were evaluated through simulation, leading to selection of a solid-state Marx generator architecture. A low-voltage five-stage prototype was designed, constructed, and tested to validate the …

Pv Performance Evaluation Study At Cal Poly Solar Farm, Eva Paola D. Calderon

Electrical Engineering

This photovoltaic (PV) system performance evaluation study aims to assess the performance of Cal Poly’s Gold Tree Solar Farm, which produces 4.5MW of solar energy. The evaluation concerns itself with the reliability of the PV system that can be affected by weather conditions, component malfunctions, and degradation of the PV modules. Under the International Energy Agency Photovoltaic Power Systems (IEA-PVPS) Task 13 objectives of reliability and maintenance, this study is necessary to contribute towards improvements in analysis and mitigation strategies for long term usage. Existing operational monitoring data from 2018 to 2025 is the focus timespan, providing real world data …

A Broadband, Dual Polarized Antenna For The Radio Neutrino Observatory In Greenland, Laken Baker

Electrical Engineering

Neutrinos contain information necessary to determine the origins of the universe and cosmic events because they can travel long distances with minimal interaction, preserving information about their cosmic origins. Since neutrinos interact with ice sheets resulting in RF radiation, antennas have been developed to detect RF transmissions.

A compact 'vane structure' (see Fig. 1a) dual-polarized broadband antenna model has been developed, constructed, and characterized according to input reflection coefficient, and co and cross-pol E and H plane radiation patterns using HFSS and Cal Poly San Luis Obispo’s anechoic chamber for the Radio Neutrino Observatory in Greenland (RNO-G) [1]. Its design …

Wireless Communication In Autonomous Vehicles, Kaylie Bao, Nicholas Andrews, Mark Negus

Electrical Engineering

This project focuses on developing and testing a vehicle-to-everything (V2X) communication system using Dedicated Short Range Communications (DSRC) based on the IEEE 802.11p standard. The system uses the NXP i.MX 8XLite V2X Evaluation Kit, which includes the SAF5400 modem for wireless communication in the 5.9 GHz band.

The main goal of this project was to establish reliable communication between two V2X evaluation boards and to verify that custom, user-defined data could be transmitted between them. Through iterative testing, we were able to successfully send and receive custom 802.11 frames using the provided command-line tools and achieve consistent communication between nodes. …

Vlsi Spike Encoder For Spiking Neural Networks With 4-Bit Sar Adc, Jack Marshall, Wyatt Tack, Cameron Young, Ryken Thompson

Electrical Engineering

A spike encoder forms the interface between sampled data, such as image data or a sensor signal, and a spiking neural network by converting numerical input samples into discrete spike events. Unlike conventional artificial neural networks, spiking neural networks use spare, even-driven computation instead of continuous-valued activations. This makes them attractive for low-power embedded systems, biomedical electronics, and other edge applications where energy consumption, physical area, and thermal limits are important design constraints.

This project develops a modular spike encoder architecture for spiking neural networks with selectable support for temporal, rate, multi-spike, and delta encoding. Prior work has shown that …

Lora Radio Propagation & Antenna Design For Freight Trains, Cesar Chavez, Marlon Jennson Hernandez

Electrical Engineering

Freight-train environments present significant challenges for wireless communication due to large metallic structures, varying cargo types, and changing antenna orientations that can degrade radio-frequency propagation. This project evaluated the performance of LoRa-based communication links intended for End-of-Train (EOT) and Head-of-Train (HOT) systems operating at 915 MHz. Field testing was conducted to characterize antenna performance using metrics including received signal strength indicator (RSSI), signal-to-noise ratio (SNR), and communication range. Experimental results showed that antenna polarization and directivity significantly affect communication performance in freight-train environments. Directional antennas provided improved signal strength when properly aligned but experienced performance degradation as antenna orientation changed. …

Cal Poly Mars Rover Battery Management System, Lawrence Nichols, Caleb Michael King, Thomas Anh Khoa To, Angel Soto

Electrical Engineering

The exploration of space has consistently been one of the most expensive endeavors humanities has undertaken in its journey to expand ever further. The PolyRover project aims to not only cheapen that expense through student-based research but also provide a better bang for buck as more unmanned ground vehicles (UGVs) can be utilized on planets in concert. In order to do so, the rovers need a robust, yet compact battery management system that can fit within the wheel well. Our system will consist of six commercially-available 18650 batteries in series, organized in a hexagonal fashion around the motor. The BMS …

Characterizing Aging-Induced Rowhammer Vulnerability And Designing A Runtime-Adaptive Defense For Ddr4 Dram, Abdulaziz Alajmi

Electrical and Computer Engineering Master's Theses

Rowhammer is a hardware fault that began as a DRAM reliability concern and became a security vulnerability. Repeatedly activating one row corrupts data in its neighbors, so an attacker who can hammer rows next to sensitive memory can flip bits they could never directly access. The number of activations needed to do so is called the Rowhammer threshold. The Rowhammer threshold has fallen steadily with each generation. The defenses that ship in response, from in-DRAM target-row refresh to the counter-based mitigations now mandated by the DDR5 standard, all rest on a quiet assumption: that this threshold is a fixed property …

Lora Networking Hardware Reference Designs For Terrestrial And Low-Earth-Orbit Communications, Kevin Nottberg

Master's Theses

The work presented here demonstrates a highly robust and tested LoRa networking hardware reference design to meet the needs of the embedded networking company OWL Integrations. The hardware presented integrated a unique combination of features and design choices. The detailing of its unique design is potentially of use to others for use in fielded battery powered terrestrial sensor networking hardware utilizing LoRa. Also, the terrestrial hardware presented is shown to have the capability to support command and control (C2) LoRa links in low-earth orbit beyond terrestrial systems. The design presented has a more U.S. centric component bill-of-materials (BOM), with the …

A Workflow For Automating Geospatial And Data Visualizations For Post-Earthquake Building Damage Data, Alejandra Bravo

Architectural Engineering: Graduate Reports

After major seismic events, reconnaissance efforts of various types are made to gather data. Coarse data can be collected with satellite imagery, mid-scale data can be recorded by capturing thousands of images, and granular data is typically documented manually by humans. Post-earthquake reconnaissance teams can be deployed by universities, research organizations, professional associations, and private firms. Academics, engineers, and students with varying degrees of expertise are tasked with collecting building metadata and damage data, typically in a short period of time. This data can be of various types including numerical (i.e. number of stories, height, etc.), categorical (i.e. damage level, …

Examining How Student Involvement And Identity Shapes Perceptions Of Cal Poly Administrative Communication And Organizational Change, Ellenor Rose Nunes

Communication Studies

This study examined the relationship between student organization involvement, sense of belonging, and perceptions of administration at California Polytechnic State University (Cal Poly). Using survey data collected from 176 students, independent samples t-tests and correlation analyses were conducted in SPSS Version 25 to examine whether involvement in student organizations was associated with perceptions of administration and institutional belonging. Results indicated no significant relationship between levels of involvement and perceptions of administration or organizational change communication. However, students involved in student organizations reported significantly greater feelings of mattering and belonging compared to non-involved students. Additionally, students with stronger feelings of belonging …

City Farm Slo: A Case Study Of Nonprofit Regenerative Agriculture, Carver Tunnell

Master's Theses

The focus of this thesis is to create a case study on City Farm SLO, a nonprofit based in San Luis Obispo, California, that has engaged in education and regenerative agriculture on City owned land since 2013. This case study is intended for use in undergraduate agribusiness and natural resource management courses, to encourage thoughtful discussion surrounding nonprofit and regenerative agricultural systems. The case presents the nonprofit at a time of relative success, having recently secured a lease renewal, extending stewardship 40 years into the future. However, the reliance on grants and donations threatens the security of the operation going …

Rolling Garden Box, Lucas Meneghetti, Gabe Haarberg, Alex Seybold, Matthew Podgorski

Baker/Koob Endowments Awarded Projects

The Rolling Garden Box project was successfully completed and delivered to Heather McColley, project sponsor and Special Day Class instructor at Oceano Elementary School, on June 3, 2026. The project met all original design objectives and was well received by both staff and students. The final product provides an accessible gardening experience for all students. The garden box features a wheelchair-accessible design, a mobile platform with locking caster wheels, and a switch-activated watering system that responds reliably to student inputs. The system allows students to independently control the watering process, reinforcing cause-and-effect learning in a hands-on environment outside the traditional …

Reimagining Legal Education: The Transformative Power Of Small-Group Instruction, Michael I. Meyerson

Seattle University Law Review

Legal education is failing its students. Those entering their first year of law school have greater anxiety and less developed reading and writing skills than ever before. The traditional large Socratic class, which was never the most effective teaching method, has become increasingly counterproductive.

This Article contends that small-group instruction provides the opportunity for superior teaching, especially for first-year law students. Recent scholarship in active learning, educational psychology, and students’ mental health demonstrates the limitations of the traditional large Socratic class experience. Building on that theoretical foundation and informed by sustained classroom experience, this Article argues that small-group pedagogy more …

Real-Time Simulation Of Bio-Luminescent Light Propagation Using Compute Shaders Within Unreal Engine, Jaden D. Halevi

Computer Science Senior Theses

Presented in this paper is a GPU-native approach to interactive fluid simulation within Unreal Engine 5. The system, BioFluidSim, implements an incompressible Navier-Stokes solver using Unreal’s Niagara Grid2D compute shader pipeline, with a modular biological emission output stage parameterized from experimentally measured Lingulodinium polyedrum bioluminescence behavior. The system is evaluated against FluidNinja Live, a commercially available fragment shader fluid implementation, as a performance baseline. Beyond performance, BioFluidSim offers greater physical fidelity than the fragment shader baseline. Helmholtz–Hodge pressure projection enforces a divergence-free velocity field at runtime, a physical constraint approximated but not enforced by fragment shader approaches. The biological emission …

A Systematic Review Of Intrusion Detection Systems For Internet Of Medical Things: Performance, Efficiency, Explainability, And Generalization, Oswald Adohinzin, Youssef Harrath

Research & Publications

The Internet of Medical Things (IoMT) has transformed health care delivery through medical devices, remote patient monitoring, and real-time clinical decision support. However, the proliferation of IoMT devices introduces security vulnerabilities that put patient safety and data privacy at risk. Intrusion Detection Systems (IDS) have emerged as essential components for protecting IoMT networks from cyberattacks. This article presents a systematic review of IoMT-IDS research, analyzing 53 high-quality papers published between 2020 and 2025, identified through database searches spanning 2016–2025 across IEEE Xplore, Springer, ScienceDirect, and ACM Digital Library. We organize the literature through a comprehensive taxonomy spanning classical machine learning …

Operation Bite Block, Jennifer Aline Robles, Laura Marie Strobbe, William Pearce Graham, Annabelle Katherine Thalken

Mechanical Engineering

Current dental bite blocks, or mouth props, are typically manufactured in fixed sizes, and often result in patient discomfort, reduced procedural efficiency, and the need for dental offices to maintain multiple product sizes. This project sought to design, prototype, and validate an adjustable dental bite block capable of accommodating a wide range of patient mouth openings while maintaining comfort, structural integrity, sterilizability, and operator usability. Working in collaboration with Dr. Alan Latta, a practicing dentist in San Luis Obispo, the design process incorporated stakeholder feedback, patent and market research, engineering analysis, and iterative prototyping to develop a solution that addresses …

Mars Rover Wheels And Drive, Presley S. Sacavitch, Ryan W. Trevena, Dylan A. Mack, Daniel Hudak

Mechanical Engineering

Cal Poly’s Poly1Rover team, advised by Professor Rich Murray, aims to deploy four student-designed mini-Mars rovers, each equipped with a sample-tube retrieval claw, before 2030. However, the wheels of Poly1Rover’s current 6th generation rover are not ready for deployment to Mars, as they do not utilize space-grade materials, are not optimized for manufacturability, and lack sufficient spoke compliance to absorb landing and high-impact loads. This project will be developed by a team of Mechanical Engineering students at California Polytechnic State University, San Luis Obispo (Cal Poly): Daniel Hudak, Dylan Mack, Presley Sacavitch, and Ryan Trevena. Next Intent is providing funding …

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 …

"Health" In Hems Means Complete Well-Being, Claudia E. Tordini, Richard S. Franklin

ACTEC Law Journal

This article focuses on the definition of “health” as used in the ascertainable standard exception of Internal Revenue Code § 2041(b)(1)(A), most frequently articulated in trusts as “health, education, maintenance and support” (HEMS). It is clear that a discretionary power to distribute for one’s own health is permitted without causing a taxable general power of appointment, but there is a dearth of authority indicating the meaning of health for this purpose. This article provides the research and foundation for understanding that health as used in HEMS is a state of complete physical, mental, and social well-being, and not merely the …

Triangle Sorting As A Real-Time 3d Renderer, Alexander Green, Xinyi Wang

Computer Science and Engineering Senior Theses

This project explores the design and implementation of a 3D rendering system based on triangle sorting, integrated into a simple interactive game environment. The goal of the project is to evaluate whether a triangle-sorting–based renderer can function effectively in real time while maintaining visual correctness and performance.

To test the renderer in a practical setting, it is embedded within a 3D environment that supports camera control and real-time navigation through the rendered scene. The system focuses on real-time navigation, model loading, camera movement, and rendering of a low-poly 3D scene. The use of a low-poly visual style helps reduce computational …

The Five Cs Of Positive Youth Development In Singapore: Building Adolescent Resilience, Teresa Theodora Jing Yi Tan, Li Neng Lee

Journal of Youth Development

The Five Cs of Positive Youth Development (PYD) model is one of the most empirically discussed frameworks on youth thriving. Generalisability of the model was investigated among 210 middle (15-18 years old) and 250 late (19-25 years old) adolescents in Singapore. The Five Cs of PYD was evaluated as a mediator between intentional self-regulation, social-emotional competencies and family functioning, and the outcome of adolescent resilience. Results validate the model among youths in Singapore and show that the Five Cs of PYD positively predict adolescent resilience. The study extends the global application of the model while highlighting the need to consider …

Turning The Tide: Reforming Western Water Law In The Age Of Ai Infrastructure, Rhyma Asim

Vanderbilt Journal of Entertainment & Technology Law

The rise of generative artificial intelligence (AI) has fueled a global race to construct increasingly powerful supercomputers and data centers. Yet, the legal infrastructure meant to regulate these water-intensive projects remains dangerously underdeveloped. Current water law principles in prior appropriation states only further exacerbate this concern. This Note suggests that reform of water law principles can provide a framework for regulating AI data centers’ water consumption in order to protect societal interests during the global AI race. While data centers present beneficial technological advancements, their lack of transparency regarding water consumption presents concerns for local communities suffering from the numerous …

2025, Richard Delgado

Seattle University Law Review

"In a cutting and provocative social critique in one of the more extended Rodrigo Chronicles, Richard Delgado in 2025 employs skillful narrative—one of CRT’s many contributions to legal scholarship —to tell a gripping story of just how far the nation has descended into darkness with President Trump’s re-election. In Delgado’s vision, law professors—along with other political opponents of the President: immigrants, people of color, LGBTQ+ people, women, the underserved—have targets on their backs."

-excerpt from Kevin Johnson's review of 2025

Scu2u, Sattvika Bhatt, Austin Nguyen, Dhruv Patel, Izzy Perez, Shaunak Sharma

Computer Science and Engineering Senior Theses

On college campuses, the lack of short-range delivery options creates frequent distractions and interruptions, reducing productivity and convenience for students and faculty. To address this problem, SCU2U was developed as a low-cost autonomous food delivery rover designed to provide sustainable on-campus solution. The system utilizes a client-server network architecture that enables remote processing and monitoring over a campus Wi-Fi network.

The rover uses a 2D LiDAR sensor to scan its environment and utilizes SLAM (Simultaneous Localization and Mapping) to build and localize with a reference map of its environment. Autonomous navigation is implemented using ROS2 and the Nav2 framework, which …

Skinclusive Ai: Towards Equitable Skin Cancer Detection For Deployment On Edge Devices, Joseph Galicinao

Master's Theses

Skin cancer is one of the most prevalent cancers worldwide, yet existing deep-learning models exhibit significant racial disparities because many widely used datasets are heavily skewed toward lighter skin tones. In addition, many approaches are not designed for deployment on resource-constrained devices, which limits accessibility. This work presents a comprehensive evaluation of classical machine learning and deep-learning based models for binary skin lesion classification, identifying the Swin-Tiny transformer architecture as the most effective backbone. To address bias, we curate a skin-tone balanced dataset, and introduce fairness-aware training through adversarial training, and joint distribution oversampling, to improve performance across protected attributes. …

A Polygon Approach For Satellite Coverage Computation Problems, Caleb I. Arbreton

Master's Theses

During celestial body observation mission planning, predicted sensor coverage is a key analysis tool used by designers to inform concept of operations. It enables trade studies by applying a metric to assess how well different sensor, satellite, and constellation configurations can observe a mission's region of interest. The effectiveness of the studied components is then paramount in determining whether they are justified in the system architecture. Coverage computation becomes more difficult as sensor types and regions of interest (RoIs) deviate from simple shapes, and as problem formulations seek higher-fidelity results. These simplifications include: conical camera sensors, RoIs represented as simple, …

50,000 Spectra And Counting: Preparing For A Roman Spectral Atlas, Maya Jordan Seagraves

Master's Theses

Slitless spectroscopy with the Hubble Space Telescope's Wide Field Camera 3 \linebreak (WFC3/IR) enables simultaneous spectral coverage of all sources in a field, but large-scale single-orientation datasets remain challenging to process. We developed a pipeline that automates HSTaXe spectral extraction across hundreds of Hubble Space Telescope observations, enabling efficient processing of 84 fields and producing over 50,000 spectra from three filters (F110W, F125W, and F160W) and two grisms (G102 and G141). This was achieved by creating a companion Python package, the Module for Infrared Label Analysis (MILA), that integrates data calibration, extraction, and visualization. To assess the scientific utility of …