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Automation Of Post Fermentation Must Removal, Grace Hurley, Jakob Spink, Ariel Metscher
Automation Of Post Fermentation Must Removal, Grace Hurley, Jakob Spink, Ariel Metscher
Industrial and Manufacturing Engineering
The Harvest Haulers project addresses a critical operational inefficiency at Saucelito Canyon Winery, where post-fermentation must removal from wine barrels was labor-intensive and potentially hazardous. This project aimed to develop a custom forklift attachment that could securely handle Bordeaux and Burgundy barrels, streamline the dumping process, and improve worker safety.
The resulting solution is a forklift-compatible fixture designed to lift, secure, and tilt barrels using a robust combination of a modified aluminum pallet, padded hoop, ratchet straps, and a custom hinge mechanism. The design meets all engineering requirements, including a 600 lb. load capacity, 135° tilt, and a single-operator setup …
Chemical Recycling Of Pet Plastic Waste, Charlie Parker, Benjamin Puga, Jake Verschoor
Chemical Recycling Of Pet Plastic Waste, Charlie Parker, Benjamin Puga, Jake Verschoor
Materials Engineering
The growing accumulation of plastic waste, specifically polyethylene terephthalate (PET), has driven the need for more efficient and scalable chemical recycling methods. This study investigated the methanolysis of PET using zinc oxide (ZnO) nanoparticles as a catalyst and tetrabutylammonium chloride (NBu₄Cl) as an ionic liquid, aiming to reduce methanol consumption while achieving high PET conversion efficiency. ZnO nanoparticles were synthesized via wet chemistry and characterized using Dynamic Light Scattering (DLS), which showed an average particle size of 13.5 nm with a polydispersity index of 0.1556, indicating a moderately-high monodisperse distribution of particles sufficient for reactions. The main conversion product, dimethyl …
Synthesis And Testing Of A Biodegradable Composite From Agricultural Waste, Amanda Anne Avrit, Kyla Carlson
Synthesis And Testing Of A Biodegradable Composite From Agricultural Waste, Amanda Anne Avrit, Kyla Carlson
Materials Engineering
In this study, polylactic acid (PLA) and ground pistachio shells are combined into a biocomposite with 15 wt% shells through compression molding. To improve interfacial bonding, shells were treated by alkali cleaning and functionalized with tetraethoxysilane before processing. Two biocomposite sample types were fabricated: PLA/shells and PLA/shells/chemical additives. The chemical additives (maleic anhydride and dicumbyl peroxide) were investigated to improve matrix and reinforcement bonding. Difficulties in processing resulted in four testable samples. Mechanical property testing showed that plain PLA samples performed the best on average. Incorporation of the additives increased both ultimate tensile strength and Young’s modulus by 50% as …
A Case Study Of Leveraging Auxiliary Data To Improve Treatment Effect Estimation Precision In An Hiv Clinical Trial, Lana Mai Huynh
A Case Study Of Leveraging Auxiliary Data To Improve Treatment Effect Estimation Precision In An Hiv Clinical Trial, Lana Mai Huynh
Master's Theses
Randomized controlled trials (RCTs) are typically the gold standard for evaluating treatment efficacy in the medical field, yet they can have small sample sizes due to logistical, ethical, and financial constraints. This limitation can result in imprecise treatment effect estimates. Recent methods have sought to enhance the precision of RCT estimates by incorporating information from large, observational, “auxiliary” datasets. An auxiliary dataset includes units that were not randomized in the trial itself, but may be similar to the RCT sample. By leveraging predictive models trained on these auxiliary data, researchers can adjust for potentially more powerful covariates, thereby reducing variance …
Catalyzed Chemical Recycling Of Poly(Ethylene Terephthalate) For Enhanced Sustainability, Gilberto J. Hernandez-Leypon Jr.
Catalyzed Chemical Recycling Of Poly(Ethylene Terephthalate) For Enhanced Sustainability, Gilberto J. Hernandez-Leypon Jr.
Master's Theses
Plastics are ubiquitous in the production of consumer and industrial products; their chemical stability, low cost of production, and performance versatility make them the best option for many industries. Their inherent benefits, specifically durability, is the basis for the negative environmental impact of polymers. Improper containment of endof-life polymer products causes unintentional migration into the environment. The monomers for many common polymer types are also fossil fuel based further increasing the environmental impact of the plastic lifecycle. Recycling is a possible method of closing the loop of the plastic lifecycle. Currently most recycling is physical, thermally reprocessing used plastics into …
Design And Playhouse Plan For Girls Build Summer Academy 2025, Aracely Berber
Design And Playhouse Plan For Girls Build Summer Academy 2025, Aracely Berber
Construction Management
This project involves the development and execution of a week-long construction camp at Cal Poly aimed at introducing high school girls to the construction industry through the hands-on building of playhouses. This camp is coordinated by a professor in Cal Poly’s Construction Management Department and invites other industry professionals. The initiative not only promotes youth empowerment and gender diversity in the industry but also incorporates a strong educational and technical component. As part of the planning process, a detailed 3D model of the playhouse was created using Autodesk Revit to visualize the structure. Additionally, a materials list was created and …
Case Study On Using Soil Nails In Unstable Substrates, Joseph Hass
Case Study On Using Soil Nails In Unstable Substrates, Joseph Hass
Construction Management
Soil nailing is becoming a popular method in construction projects to anchor retaining walls into soil. To maximize installation success rates and minimize pullout failure during testing, this case study examines efficient techniques and installation protocols for soil nails in unstable substrates through research and studying an active construction site utilizing soil nails. In geotechnical engineering, unstable soil conditions present serious difficulties that frequently result in delays, cost overruns, and compromised structural integrity. This study determines the main elements affecting nail performance by carefully examining field data, installation trials, and performance testing. Using real life experience and in-depth research of …
Renovations At The Ranch Slo, Gerardo Valenciano-Valdivia
Renovations At The Ranch Slo, Gerardo Valenciano-Valdivia
Construction Management
The Ranch SLO is a non-profit organization that hopes to aid adults with developmental disabilities by providing outdoor employment opportunities. In the ten-and-a-half-acre property, the employees engage in a variety of different activities, ranging from planting and growing different plants, to caring for farm animals. Some of the structures in the ranch have a long time in service and need reinforcing/renovations, this project focused on two main areas where renovations took place. The first area was a garden table area equipped with a total of 10 garden tables and a shade structure covering exactly half of the tables. The main …
Preconstruction Services For Land Conservancy San Luis Obispo Deck Replacement, Russell Sprague
Preconstruction Services For Land Conservancy San Luis Obispo Deck Replacement, Russell Sprague
Construction Management
This senior project centers around a preconstruction collaboration between Semmes & Co. and the Land Conservancy of San Luis Obispo (LCSLO) for a new deck at the Santa Rita Ranch house in Templeton, CA. The existing deck was in poor condition and not ADA compliant, prompting the need for a safe, accessible, and aesthetically pleasing replacement. This project supported the nonprofit by providing volunteer-based preconstruction services, including quantity takeoffs, a detailed material list, scope breakdown, labor estimates, scheduling, and logistics planning. Material options and scope variations were presented to LCSLO in a flexible pricing proposal using a Time and Materials …
2025 Annual V.E.S.T Hackathon: Renovating Safety Harnesses, Mason P. Chamberlin
2025 Annual V.E.S.T Hackathon: Renovating Safety Harnesses, Mason P. Chamberlin
Construction Management
This paper presents the organizational framework and logistical planning involved in executing the 2025 Verifying Everyone’s Safety Together (V.E.S.T.) Hackathon, an annual innovation workshop hosted by the Construction Management Department at California Polytechnic State University, San Luis Obispo. The event brings together students, faculty, and industry professionals to reimagine and redesign common construction equipment with a focus on safety, usability, comfort, and inclusivity across diverse user profiles. The 2025 hackathon, held April 15–16, concentrated on safety harnesses, an essential component of personal protective equipment (PPE) in the construction industry. Participants engaged in the two-day event that included conceptualization, prototyping, and …
Skip The Grid: Solar Installation For Navajo Communities, Emilio Tiziano Cervantes
Skip The Grid: Solar Installation For Navajo Communities, Emilio Tiziano Cervantes
Construction Management
In March 2025, a group of 20 students from California Polytechnic State University, San Luis Obispo took part in Skip the Grid, a hands-on service initiative aimed at expanding access to reliable solar energy in the Navajo Nation. In partnership with SOLV Energy, NextTracker, and the non-profit Heart of America, the team traveled to Chinle, Arizona, where they installed off-grid solar systems in 40 homes across the Chinle School District. Each setup included solar panels, a battery with electrical outlets, lighting, and a refrigerator—providing essential power to families whose homes were previously without it. All of the households served kids …
Deeppanorf: Deep Prior For Neural 3d Reconstruction From Sparse Panoramas, Edward Du
Deeppanorf: Deep Prior For Neural 3d Reconstruction From Sparse Panoramas, Edward Du
Master's Theses
Advances in neural field representations have led to a significant improvement in view synthesis quality. However, many current novel view synthesis methods rely on a dense set of input views, which can be impractical and inefficient in real-world applications. We propose DeepPanoRF, a novel method for 360◦ scene reconstruction from a sparse set of input equirectangular panoramas. Built upon K-Planes, a radiance field representation that encodes explicit features on orthogonal feature planes, our method does not directly learn feature grids. Instead, we parameterize the feature grids to enable sparse view reconstruction without pretraining or additional regularization. We implement a custom …
Compact, Low-Power Underwater Acoustic Modem Characterization And Sensing Network Node Implementation, Lucas W. Lucia
Compact, Low-Power Underwater Acoustic Modem Characterization And Sensing Network Node Implementation, Lucas W. Lucia
Master's Theses
There is a growing market for compact, power-efficient underwater communication technology. Due to the limited propagation of electromagnetic waves through water, modulated acoustic waves have emerged as an effective means of wireless communication underwater. In decades past, many acoustic modems had been developed primarily for defense customers in larger systems functioning at high power. In recent years, smaller, relatively inexpensive acoustic modems have become available on the market—but data on their performance in a real-world environment is scarce. Companies such as OWL Integrations are interested in employing such acoustic modems as part of sensing networks across multiple mediums. For such …
Spos: An Attestation Solution For The Detection And Mitigation Of Point Of Sale Malware, Damian Singh Dhesi
Spos: An Attestation Solution For The Detection And Mitigation Of Point Of Sale Malware, Damian Singh Dhesi
Master's Theses
Securing 95% of card present transactions, accounting for billions of transactions a year, has made EMV the premier protocol for card-based payment. Created by and named after Europay, Mastercard, and Visa, the EMV protocol provides multiple solutions to resolve security concerns with the outdated, swipe-based, magnetic stripe payment. Such solutions are Chip and PIN which provides a more secure transaction at a significant time cost and EMV contactless which provides improved security to Chip and PIN at greater ease of use with its quick, tap-to-pay based payment. However, regardless of how secure the EMV protocol makes the card side of …
Cislunar Orbital Debris Removal Feasibility Analysis Using Nrho To Dro Transfers At Varying Solar Angles, Peter C. Lie
Cislunar Orbital Debris Removal Feasibility Analysis Using Nrho To Dro Transfers At Varying Solar Angles, Peter C. Lie
Master's Theses
The resurgence of lunar exploration necessitates the expansion of space situational awareness into cislunar space. The current tracking technologies for cislunar objects are insufficient to determine vacant orbital regimes for human spaceflight. Orbital debris generated in the cislunar environment often evolves along complex and chaotic trajectories due to the influence of multi-body dynamics. Current research into methods of removing orbital debris from space is limited to debris in Earth orbits. For cislunar orbits, debris disposal options are slowly gaining research, mostly centered on hypothetical solutions for active missions. Lunar impact and escape to heliocentric space are low-cost options, but serve …
Analog Hardware Implementation Of A Linearly Constrained Quadratic Program Real-Time Solver, Claire E. Tylutki, Claire Tylutki
Analog Hardware Implementation Of A Linearly Constrained Quadratic Program Real-Time Solver, Claire E. Tylutki, Claire Tylutki
Master's Theses
This thesis presents the design, implementation, and analysis of a hardware system for solving Linearly Constrained Quadratic Programs (LCQPs) in real time. The architecture follows a generalized feedback structure composed of three key elements: gradient descent on the quadratic cost function, saturation-based nonlinearity to enforce inequality constraints, and an integral controller with an anti-windup mechanism to regulate dynamic behavior and determine steady-state error. This majority analog system converges with equilibria that satisfy the Karush-Kuhn-Tucker (KKT) optimality conditions. Using a representative LCQP, this work presents simulation of the circuit in PLECS and LT Spice to confirm the feasibility of the novel …
Adversarial Deep Reinforcement Learning For Tank Duel Simulation Using Lidar-Based Observations, Braedan Kennedy
Adversarial Deep Reinforcement Learning For Tank Duel Simulation Using Lidar-Based Observations, Braedan Kennedy
Master's Theses
Previous research has demonstrated that reinforcement learning agents can learn to steer differential-drive robots around obstacles using 2D lidar scans as observations. However, these studies typically treat all range returns as undifferentiated obstacles—objects to avoid—without distinguishing between different object types. This thesis builds upon previous research by introducing an adversarial task in which an agent must interpret raw range readings to both avoid static obstacles and identify, pursue, and engage a hostile target.
To investigate this problem, this thesis introduces TankGame, a novel, lightweight 2D tank duel simulator. Each agent receives a 360° lidar scan, controls its motion via tread …
Flair: A Fog-Native Workload Placement Framework For Qos-Aware Scheduling In Smart Manufacturing, Daiwik N. Swaminathan
Flair: A Fog-Native Workload Placement Framework For Qos-Aware Scheduling In Smart Manufacturing, Daiwik N. Swaminathan
Master's Theses
Smart manufacturing environments utilize a variety of heterogeneous IoT sensors that continuously stream large volumes of data. To detect and mitigate critical events such as fires or accidents in real time, this data must be promptly analyzed by machine learning (ML) image classifiers. These classifiers are typically deployed on fog computing nodes located within the manufacturing warehouse facilities to ensure low-latency responses and to protect data privacy. Although fog nodes offer a better alternative to remote cloud data centers for such latency-sensitive tasks, they are often resource-constrained and highly sensitive to the composition of workloads, particularly in heterogeneous environments where …
Opening The Black Box With Regal: A Novel Explainable Ai Approach To Uncover Key Predictors In Search And Rescue Success, Brandon Hyunjun Kim
Opening The Black Box With Regal: A Novel Explainable Ai Approach To Uncover Key Predictors In Search And Rescue Success, Brandon Hyunjun Kim
Master's Theses
The outcome of a search and rescue (SAR) operation is influenced by a complex, non-linear interplay among numerous factors, including geographic context, subject-specific characteristics, and environmental conditions. The high dimensionality and intricate dependencies among these variables pose significant challenges to traditional exploratory modeling approaches, limiting their ability to uncover meaningful patterns and relationships associated with mission success. This study introduces Rules Based Explanations for Generated neighborhoods Around Localized cases (REGAL), a novel adaptation of the Local Interpretable Model-agnostic Explanations (LIME) framework to explain deep multimodal neural networks and what key features it assesses to determine search and rescue success. REGAL …
Fault Tolerant Dynamic Task Allocation For Heterogeneous Multi-Robot Systems, Jack R. Cline
Fault Tolerant Dynamic Task Allocation For Heterogeneous Multi-Robot Systems, Jack R. Cline
Master's Theses
This research presents a novel approach to dynamic task allocation in heterogeneous multi-robot systems with integrated fault detection capabilities. As multiple industries are becoming more reliant on multi-robot systems for tasks, maintaining operational efficiency despite robot failures becomes critical. We propose a framework that combines optimization-based task allocation with a Kalman filter that estimates task progress for anomaly detection to identify unreliable agents and dynamically redistribute tasks. Observing values such as the normalized innovation squared (NIS), covariance, and progress rate, the algorithm can designate a robot as faulty. Embedding information about which robots are faulty in the task algorithm allows …
Sentry V3: Extending Context Switches On A Trusted Secure Coprocessor, Mark Kong
Sentry V3: Extending Context Switches On A Trusted Secure Coprocessor, Mark Kong
Master's Theses
Software correctness and integrity is only ensured through trust in the un- derlying hardware. However, modern computer systems are complex to design and secure. Thus, given the choice between performance and security, companies will often prioritize performance, resulting in vulnerable systems. This creates exploitable systems that must be patched retroactively because business value performance over security. One approach to this issue is to separate the root of security from the rest of the system to create a minimal trusted computing base. Trustguard is one instance of this. Trustguard implements a Containment Architecture with Ver- ified Output (CAVO) model which shows …
Data-Driven Product Recommendations: A Decision Support Framework Utilizing Customer Reviews, Tyler A. Lopez
Data-Driven Product Recommendations: A Decision Support Framework Utilizing Customer Reviews, Tyler A. Lopez
Master's Theses
With the considerable presence of e-commerce in society, vast number of purchasable goods, and increasing brand variety, consumers are faced with the challenge of buying products that they perceive to be of greatest value to them. To assist consumers with making better informed decisions, e-commerce websites allow individuals to post their own experiences and score the products that they purchase. Despite this information, the variety of experiences and feedback that consumers share do not always lead to clarity on whether a product is best suited for the purchaser. To help guide customers through a simplified purchasing process from the perspective …
Design And Development Of A Laboratory Star Tracker System, Kevin D. Iverson
Design And Development Of A Laboratory Star Tracker System, Kevin D. Iverson
Master's Theses
This thesis presents the design, calibration, and validation of a low-cost star tracker system and hardware-in-the-loop testbed intended for small satellite applications. The system is composed entirely of commercial off-the-shelf components and integrates both a custom star tracker and a screen-based star field simulator for controlled, repeatable testing. An analytical modeling approach was used in the early design phase to predict system accuracy based on key optical and geometric parameters, informing the selection and configuration of components and guiding the development of calibration routines.
A simulation environment was developed to validate the star tracker software and assess the impact of …
Using Hydrologic And Hydraulic Simulations To Predict Near-Term Effects Of Beaver Habitat Restoration On Flood Flows, Luke S. Stewart
Using Hydrologic And Hydraulic Simulations To Predict Near-Term Effects Of Beaver Habitat Restoration On Flood Flows, Luke S. Stewart
Master's Theses
There is a growing need to predict the complex hydrologic and hydraulic effects of beaver-maintained wetlands. This study uses relatively simple inputs and a replicable methodology to predict flood flow impacts of beaver habitat restoration at the site design scale using the engineering industry’s customary hydrology and hydraulic modeling approach. This study focuses on Toro Creek, the primary drainage for a 15.2 square mile watershed on the California Central Coast.
A hydrologic model of Toro Creek watershed was developed in HEC-HMS to approximate saturated soil conditions typical of late-spring flooding events observed in the region. The hydrologic model was calibrated …
Vertical And Latitudinal Variability Of Marine Heatwaves In The California Current, Gavin M. Plume
Vertical And Latitudinal Variability Of Marine Heatwaves In The California Current, Gavin M. Plume
Master's Theses
Marine heatwaves (MHWs) are increasing in frequency and intensity globally, with grave effects on marine ecosystems and their dependent industries. There are significant gaps in knowledge of the subsurface behavior and geographic distribution of MHWs, especially in eastern boundary upwelling systems like the California Current. Here, two decades of full water-column temperature observations from a shallow autonomous profiler in San Luis Obispo Bay (~10m) revealed that while MHWs have similar average durations and intensities across all depths, one-third of bottom MHWs occur without a concurrent surface signal. MHWs across the water column initiated during anomalously weak upwelling or downwelling conditions …
Identifying Interchromosomal Interactions Using A Graph-Based Computational Pipeline, Ethan Outangoun
Identifying Interchromosomal Interactions Using A Graph-Based Computational Pipeline, Ethan Outangoun
Master's Theses
Current computational tools for analyzing chromatin organization are mainly focused on intrachromosomal interactions, despite growing evidence that suggests long-range interactions across chromosomes contribute to transcriptional regulation and disease development. This thesis aims to address this gap in interchromosomal genome analysis, presenting a robust computational pipeline that identifies a clique (i.e., a subgraph) of highly interacting trans-chromosomal regions anchored at a user-specified seed genomic locus. A weighted interaction network is constructed from an input Hi-C contact matrix, a widely used experimental assay for measuring genome-wide chromatin interactions. We model this input contact matrix as a graph and devise three different strategies …
Investigating And Evaluating Poison Unlearning Under Imperfect Detection, Mitashi D. Parikh
Investigating And Evaluating Poison Unlearning Under Imperfect Detection, Mitashi D. Parikh
Master's Theses
Machine unlearning is an emerging field focused on removing the influence of specific data points from trained machine learning models. Early work in this field has primarily focused on privacy-oriented unlearning, often motivated by data protection regulations such as the GDPR. More recently, security-oriented unlearning has emerged as a response to data poisoning attacks, where malicious inputs are injected into training data to manipulate model behavior. In these security-oriented settings, unlearning methods aim to reverse the influence of malicious training data after a model has already been deployed. However, existing methods assume access to an accurately identified portion of poisoned …
Effect Of Manufacturing And Machining Process On Recycled Composite Connecting Rods Under Tension And Compression, Walter W. Oppelt
Effect Of Manufacturing And Machining Process On Recycled Composite Connecting Rods Under Tension And Compression, Walter W. Oppelt
Master's Theses
Carbon fiber reinforced polymer (CFRP) is an engineering material renowned for its high-strength and low-density material properties. Such properties make CFRPs especially useful for applications across many industries, including aerospace, automotive, marine, sporting goods, oil and gas, and more. However, with such favorable material properties comes the cost of high energy usage required to produce raw carbon fiber. Recycled carbon fiber (rCF) has emerged as a promising alternative, offering a significant reduction in energy usage. This research explores the viability of applying recycled CFRPs to internal combustion engines to both reduce energy costs during manufacturing and while in use. Mechanical …
Student-Centric Scheduling: Integrating Student Preferences Into University Course Planning, Jamie Luna
Student-Centric Scheduling: Integrating Student Preferences Into University Course Planning, Jamie Luna
Master's Theses
University course scheduling has direct impacts on student success. In the Computer Science and Software Engineering (CSSE) department at California Polytechnic State University, San Luis Obispo (Cal Poly), students face registration challenges like limited course availability and waitlists, which may delay academic progress. This thesis provides a qualitative and quantitative investigation into the course registration experiences of CSSE students. From a survey of 100 CSSE students and follow-up interviews, this study identifies the key factors influencing registration outcomes. This research also evaluates the predictive model currently used by the CSSE department to anticipate course demand, revealing mismatches between predicted and …
Myceli-Yum: Elucidating Structure-Property Relationships For Polymer Degradation By Mycelial Digestion, Jordan Scott Ford
Myceli-Yum: Elucidating Structure-Property Relationships For Polymer Degradation By Mycelial Digestion, Jordan Scott Ford
Master's Theses
Since the industrial entrance of polymer plastic materials, plastic has become ubiquitous in both everyday use and waste. Due to inefficiencies and knowledge gaps, current recycling methods are not able to account for the high scale of plastic waste, resulting in the bulk of this waste being landfilled, mishandled, and deposited in the environment. Mycelium, the microorganism responsible for fruiting mushroom bodies and mold growth, holds potential to reduce plastic waste and can potentially be utilized as a method of industrial recycling. Following a drug-design approach, the active site of mycelial enzymes responsible for natural biopolymer degradation have been assessed …