Digital Commons Network^™

Academic Senate - Minutes, 5/20/2025, Academic Senate

Academic Senate Minutes

No abstract provided.

Academic Senate - Agenda, 5/13/2025, Academic Senate

Academic Senate Agendas

No abstract provided.

Academic Senate - Minutes, 5/13/2025, Academic Senate

Academic Senate Minutes

No abstract provided.

Executive Committee - Agenda, 5/6/2025, Academic Senate

Academic Senate Agendas

No abstract provided.

Optimizing And Training An Svm-Based Breast Cancer Tumor Classifier, Kevin Lopatka

Master's Theses

With advancements in technology, turning to machine learning has become a popular choice for aiding clinicians in the diagnoses of breast cancer malignancies. While the neural networking approach has been vetted thoroughly, this work aims to take advantage of traditional machine learning techniques; mainly support vector machine learning and the optimizing of feature extraction. The discrete-wavelet transform is used in the feature extraction stage of machine learning. Previous works that use this feature extraction technique are analyzed and expanded upon by utilizing a variety of different wavelets as well as other color-spaces with the goal of achieving higher result metrics …

Modeling And Analysis Of A Hybrid Ac/Dc Green Seaport Power System With Photovoltaic Generation And Battery Energy Storage Systems, Corey Zaas

Master's Theses

This thesis investigates the modeling, simulation, and analysis of a Green Seaport power system integrating photovoltaic (PV) generation, battery energy storage systems (BESS), and coordinated protection within a hybrid AC/DC framework. The work improves a previously established model, enhancing it with detailed protection studies and simultaneous AC/DC power flow analysis using EasyPower software. The system was evaluated under a wide range of operating conditions, including varying solar irradiance, battery charge and discharge states, and both full and zero load conditions. Key performance indicators included voltage regulation, power factor behavior, equipment loading, protection device coordination, and total system power losses. Simulation …

Design And Analysis Of An Isolated Resonant Pulsed Dc-Dc Buck-Boost Converter, Edgar Arturo Mora Tena

Master's Theses

This thesis entails the design, modeling, simulation, construction, and analysis of a new isolated DC-DC buck-boost converter with Zero-Current-Switching (ZCS) operation, continuous input current, and a low-side switch to simplify driving requirements. The proposed converter was designed to regulate a 5V output from an input range of 15V-18V, at a rated output power of 20W, and a switching frequency range of 90kHz-500kHz. Software simulations are performed to develop a mathematical model that describes the converter’s modes of operation, as well as the current and voltage waveforms of the resonant power components. Results from hardware experimentation confirm that the converter effectively …

Adjustable Dynamometer Motor Mount, Garrett Carson Ng, Elijah Siegel Reuven, Ethan Fong, Daniel Larimer

Mechanical Engineering

The Cal Poly Electrical Engineering Department and sponsor Dr. Dolan needs a manufacturable motor fixture that securely aligns motors of various sizes with dynamometers. Previous lab motor fixtures could not accommodate motors of different sizes, making precise alignment between motors and dynamometers time-consuming and unreliable. Our team developed a modular, manufacturable fixture capable of aligning various motor sizes quickly, accurately, and securely, enhancing lab consistency and usability.

Design Of A Novel Low-Cost Hybrid V-Shape Spoke-Type Ferrite Ipm-Synrm For Ev Traction Using Fem Software, Kenghao Cai

Master's Theses

This paper presents a hybrid V-shape spoke type ferrite Interior Permanent Magnet Synchronous Reluctance Machine (PMA-SynRM) for electric vehicle traction application. Ferrite or ceramic IPM-SynRMs compared to Neodymium (NdFeB) based IPM-SynRMs typically have lower torque, power density, and efficiency overall. Motivated by rising costs and international policies making it increasingly more challenging to obtain rare-earth metals, alternatives should be explored. With the help of finite element method (FEM) software, Ansys Maxwell, this study probes into a novel three-phase ferrite-only hybrid Spoke-type V-shaped IPM-SynRM using Tesla Model 3's neodymium powered V-shape interior permanent magnet machine as a benchmark. The proposed motor …

A Heuristic Approach To Portrait Segmentation And Its Application To Synthetic Bokeh Generation, Charles J. Snead

Master's Theses

Segmentation of portrait images is an important technique used to separate the foreground and background of an image. This separation of layers is useful for selectively applying post-processing techniques to enhance the quality of the image, such as blurring the background. Automatic portrait segmentation is a complex process that can be completed with a high degree of accuracy using deep learning with neural networks, but training and inference are often very computationally expensive. This thesis aims to take a heuristic approach to portrait segmentation by combining classical image processing and computer vision techniques into a solution that can be run …

Improved Management Strategies For Botrytis Fruit Rot, Macrophomina Root Rot, And Verticillium Wilt In California Strawberry Production, Joseph A. Ramirez

Master's Theses

Strawberry production in California is limited by plant diseases such as Macrophomina root rot (MRR) caused by Macrophomina phaseolina, Verticillium wilt (VW) caused by Verticillium dahliae, and Botrytis fruit rot (BFR) caused by Botrytis cinerea. Current disease management strategies are compromised due to fumigant regulations or ineffective disease management practices. This thesis investigated methods to potentially improve the management of these three diseases. Two host plant resistance evaluations for MRR and VW were conducted for the 2022-2023 and 2023-2024 growing seasons. Sixty-three strawberry genotypes were screened in both years. All plants were exposed to the pathogen via artificial …

Cruising On The Beach (Cob), Juan Diego Molina Ii, Ashley Kianna Burga

Biomedical Engineering

This report details the design and development process of Cruising on the Beach (COB), a modular motorized wheelchair intended to improve beach accessibility for high school students with mobility impairments. The project aimed to create an affordable, portable, and sand-capable device using balloon wheels, an adjustable control panel, and a customizable base. Extensive background research, market analysis, design modeling, and test plans were completed. However, final fabrication was not achieved due to financial constraints and limited access to industrial machining tools needed for custom metal components. Despite these setbacks, the project delivered a robust conceptual design and a fully …

Investigating The Effects Of Hepatocyte Growth Factor On Primary Myoblast Proliferation, Grace Heller

Biomedical Engineering

Peripheral artery occlusive disease (PAOD) is a progressive vascular condition that affects over 200 million people worldwide and approximately 8 million in the United States. It is characterized by atherosclerotic narrowing of peripheral arteries, leading to reduced blood flow, ischemia, and, in severe cases, tissue loss and limb amputation. Although surgical revascularization is the gold standard, many patients—particularly those with comorbidities like diabetes— continue to experience poor outcomes, emphasizing the need for alternative therapies. One promising strategy is to enhance collateral arteriogenesis, the remodeling and enlargement of collateral arterioles that naturally bypass occluded vessels. Satellite cells (SCs), which give rise …

Academic Senate - Minutes, 4/29/2025, Academic Senate

Academic Senate Minutes

No abstract provided.

Compression Strength Prediction Of Regular-Slotted-Container Corrugated Fiberboard Boxes Based On Artificial Neural Network Using Multiple Materials And Design Parameters, Tita Archaviboonyobul, Ravipim Chaveesuk, Jay Singh, Tunyarut Jinkarn

Industrial Technology and Packaging

Importance of the work: An accurate compression strength prediction model of RSC corrugated boxes could be used as an effective packaging design tool for industry.

Objectives: This research applied the material and design parameters for RSC corrugated box strength prediction using artificial backpropagation neural network modelling (BPN).

Materials and Methods: Total of 17 material and design factors from 630 commercially corrugated box samples in Thailand were recorded as input parameters along with their box compression test (BCT) values as output parameter. Data was randomly grouped as 80:10:10 during the model development for training set, testing set and validating set, respectively. …

Developing An Ethical Trauma-Informed Pilot Process For The Inclusion Of Physical Violence In Visual Rhetoric Instruction, S. B. Mccullouch

Feminist Pedagogy

Interpersonal, gun-related, and other types of physical violence are all too common experiences for students. This critical commentary centers on the introduction of an expansive view of visual rhetoric, including the visible signs of physical violence, in an undergraduate writing class. This serves as a way of exploring broad notions of communication and physical violence as suasive in some contexts. An examination of the visible symbols of physical force is provided with trauma-informed methods.

Towards A Pedagogy Of Unruly Bodyminds, Muhammad Ali Imran, Jane L. Saffitz

Feminist Pedagogy

This commentary underscores critical practices from Jane’s “Unruly Bodies” seminar that Ali, a student in the course and Jane’s advisee, has since mobilized towards anti-colonial organizing. Purposely experimental, the seminar attempted to rethink embodiment as intercorporeal and thus as capable of generating new ways to think about agency and solidarity in contexts marred by forms of militarization, medical violence, and histories of domination. Thinking through our bodyminds as both terrains of contestation and weapons in broader struggles for liberation required us to cultivate a classroom space of radical openness and vulnerability. We describe these efforts, as well as our broader …

As-992-25 Resolution To Establish The Add/Drop Timelines On Semesters, Academic Senate Instruction Committee

Academic Senate Resolutions

Resolves that the Academic Senate of California Polytechnic State University, San Luis Obispo supports the adoption of the attached policy for Add/Drop Timelines for Semester and Summer/Condensed Session Terms; and it further resolves that the following obsolete add/drop policies be rescinded: AS-74-80, AS-145-83, AS-149-83, AS-175-85; and it further resolves that the add/drop policy for semester and summer/condensed session terms will be effective beginning Fall Semester 2026; and further resolves that the Academic Senate recommended, after the integration with Cal-Maritime, that the Resolution to Establish Add/Drop Timelines on Semesters, be reviewed to assure any needs unique to Cal Poly, Solano programs …

Executive Committee - Agenda, 4/22/2025, Academic Senate

Academic Senate Agendas

No abstract provided.

Executive Committee - Minutes, 4/22/2025, Academic Senate

Academic Senate Minutes

No abstract provided.

'Walking On Clouds' & 'Tuned To The Moment', Frank Cooke, Michaela Velleno

.RAW Journal of Art and Design

No abstract provided.

Full Issue, Erin Robinson, Michaela Velleno

.RAW Journal of Art and Design

No abstract provided.

Seoul National University Agn Monitoring Project. V. Velocity-Resolved Hβ Reverberation Mapping And Evidence Of Kinematics Evolution, Shu Wang, Jong-Hak Woo, Aaron J. Barth, Vardha N. Bennert, Elena Gallo, Edmund Hodges-Kluck, Minjin Kim, Suvendu Rakshit, Tommaso Treu, Hojin Cho

Physics

We present velocity-resolved reverberation lags of Hβ for 20 active galactic nuclei (AGNs) from the Seoul National University AGN Monitoring Project. We detect unambiguous velocity-resolved structures in 12 AGNs, among which eight objects exhibit symmetric structures, two objects show inflow-like characteristics, and two objects display outflow-like signatures. For two AGNs, we successfully measure the velocity-resolved lags in different years, revealing evidence of evolving broad-line region (BLR) kinematics. By combining our sample with the literature velocity-resolved lags, we find that the symmetric velocity-resolved lags are the most common (40%) type among this sample. The frequency of inflow kinematics is also …

Robert E. Kennedy Library Strategic Plan (2025-2030), Robert E. Kennedy Library

Library Publications and Administrative Reports

The Kennedy Library Strategic Plan (2025-2030) outlines a transformative vision for the library’s role in supporting Cal Poly’s academic and research missions. The plan is guided by a commitment to accessibility, experiential learning, community engagement, and sustainability. It focuses on five strategic priorities: enhancing communication and collaboration to empower users; cultivating student success through experiential learning and embedded information and AI literacy; creating a sense of belonging, community, and stewardship within the library; elevating the user experience through assessment and seamless access to resources; and advancing research impact through openness, equity, and sustainability. By fostering an environment of curiosity, inclusivity, …

Aiops–Driven Adaptive Anomaly Detection In Evolving Cloud Environments Using Transfer Learning, Mayur Shivakumar

Master's Theses

As cloud-based microservice architectures have become the foundation of contempo- rary enterprise solutions, performance interference, wherein co-located services com- pete for shared resources, remains a significant challenge. This phenomenon, often referred to as the noisy neighbor problem, manifests when one workload unexpect- edly increases the CPU, memory, disk I/O, or network consumption, resulting in latency spikes or throughput degradation for other services. While existing isolation mechanisms (e.g., cgroups and QoS policies) provide some mitigation, they rarely prevent contention entirely, particularly in dynamic, rapidly evolving environments with frequent code deployments.

This thesis proposes an AIOps-driven adaptive anomaly detection framework that integrates …

Helical Products Parts Display Stand, Binh Nguyen, Emily Yuan Mendyke, Zoe Porter

Mechanical Engineering

Helical Products needs a new product display stand that will demonstrate their custom springs, couplings, and u-joints. Their current display stand, a marble run contraption, is large, loud, and difficult to transport, so they would like the new stand to remedy these issues. The goal of this senior project is to create a display stand that captures the attention of their customers with dynamic product demonstrations while addressing the issues outlined above.

The new display stand is also a marble run contraption, but instead of being almost 4 feet tall and 3 feet long, it is 23” tall, 26.25” long, …

Detecting Software Anomalies In Microservices Using Spectrograms, Scalograms, And Convolutional Neural Networks, Snehith Jonnaikode

Master's Theses

The growing complexity of cloud-native microservices has intensified the need for robust anomaly detection mechanisms, particularly for misconfiguration-induced failures that often manifest subtly and propagate across service boundaries. This thesis proposes a comparative framework for runtime anomaly detection by transforming system metrics into frequency-domain representations—spectrograms using Short-Time Fourier Transform and scalograms using Continuous Wavelet Transform—and classifying them with Convolutional Neural Networks (CNNs). Evaluated on DeathStarBench, a production-grade microservices benchmark with injected anomalies in the Reservation and Recommendation services, the framework also includes baseline Long Short-Term Memory (LSTM) models trained on raw time-series features. Stratified 5-fold cross-validation shows that CNNs trained …

Executive Committee - Agenda, 4/1/2025, Academic Senate

Academic Senate Agendas

No abstract provided.

Climate Change And Variability Drive Increasing Exposure Of Marine Heatwaves Across Us Estuaries, Ricardo U. Nardi, Piero L. F. Mazzini, Ryan K. Walter

Physics

Marine heatwaves (MHWs) are among the greatest threats to marine ecosystems, and while substantial advances have been made in oceanic MHWs, little is known about estuarine MHWs. Utilizing a temperature dataset spanning over two decades and 54 stations distributed across 20 estuaries in the United States National Estuarine Research Reserve System, we present a comprehensive analysis of estuarine MHW characteristics and trends. Long-term climate-change-driven warming is driving more frequent MHWs along the East Coast, and if trends continue, this region will be in a MHW state for ~ 1/3 of the year by the end of the century. In contrast, …

Executive Committee - Agenda, 3/4/2025, Academic Senate

Academic Senate Agendas

No abstract provided.