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Full-Text Articles in Entire DC Network
Dr. Eve Hinman, A Pioneer In The Protective Design Industry, Ily Michi Nelson, Ellen Elizabeth Untalan, Lani Ku'ulei Alo
Dr. Eve Hinman, A Pioneer In The Protective Design Industry, Ily Michi Nelson, Ellen Elizabeth Untalan, Lani Ku'ulei Alo
Architectural Engineering
This senior project carries on prior work to develop an educational material on the notable female protective design engineer Dr. Eve Hinman, initiated by Cal Poly Architectural Engineering students Michelle Dennin and Paulina Robles in collaboration with faculty member Dr. Anahid Behrouzi. To gain a deeper understanding of Dr. Eve Hinman’s impact on the industry, the project team conducted extensive research into her career including interviews with former employees of the firm that she founded and led, Hinman Consulting Engineers (HCE), and an analysis of the recently acquired collection of library material gifted by HCE to Cal Poly. After completing …
Prefabricated Timber Living: A Modular Sustainable Solution, Hannah Giang, Justin Huang
Prefabricated Timber Living: A Modular Sustainable Solution, Hannah Giang, Justin Huang
Architectural Engineering
This senior project is part of the Gateway Decathlon, a two-year, multidisciplinary design-build competition focused on innovative, sustainable housing solutions. Our team designed and constructed a one-story dwelling using cross-laminated timber (CLT) panels to promote low-carbon, industrialized building practices. The structure features a modular layout with sloped roofs and exposed timber interiors, combining environmental responsibility with architectural flexibility. Emphasizing prefabrication and off-site construction, the design supports efficient assembly and disassembly, reduced material waste, and minimal environmental impact. The result is a scalable, adaptable housing prototype aligned with the competition’s goals of creativity, sustainability, and innovation in residential construction.
Baja Sae Brakes, Carson Moore, Jaedyn Michael Imhoff, Will Duncan, Matthew Shaffer
Baja Sae Brakes, Carson Moore, Jaedyn Michael Imhoff, Will Duncan, Matthew Shaffer
Mechanical Engineering
Historically, the Cal Poly Racing Baja SAE has produced a braking system that has proven unreliable and barely passes competition rules and inspections, leading to ill performing and unsafe brakes. The goal of this project is to produce a system and documentation that meets the requirements provided by Cal Poly Racing Baja SAE. The final design includes a transient braking model of the vehicle to set system requirements, universal custom front and rear calipers modified from “Cal Poly BSAE Custom Brake Caliper Senior Project”, and a revamped hydraulic harness. Leaning on the team’s previous work and modifying the custom calipers …
Design Of A Novel Low-Cost Hybrid V-Shape Spoke-Type Ferrite Ipm-Synrm For Ev Traction Using Fem Software, Kenghao Cai
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
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 …
Enhanced Post-Capture Automatic White Balance For Srgb Images, Eric Huang
Enhanced Post-Capture Automatic White Balance For Srgb Images, Eric Huang
Master's Theses
Automatic white balancing (AWB) aims to correct color casts caused by varying illumination conditions, typically assuming access to RAW sensor data. However, many real-world applications involve only sRGB images that have already been processed by in-camera pipelines. In these cases, traditional AWB algorithms often underperform due to the nonlinear transformations done by these pipelines.
This thesis builds upon a data-driven color correction framework introduced by Afifi et al. that relies on RGB-UV histograms and learned color transforms. A revised automatic white balancing (AWB) framework that improves both color accuracy and runtime efficiency is proposed. A fallback routine is implemented to …
Cruising On The Beach (Cob), Juan Diego Molina Ii, Ashley Kianna Burga
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
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 …
Skip The Grid: An Impactful Solar Installation Project In The Navajo Nation, John Ryan Strain
Skip The Grid: An Impactful Solar Installation Project In The Navajo Nation, John Ryan Strain
Construction Management
Over the past four years, a team of interdisciplinary students and faculty from California Polytechnic State University San Luis Obispo (Cal Poly), Heart of America, and generous industry sponsors (SOLV, Goal Zero, NextTracker, Elite, and TCB Builders) have brought their time, effort, and resources together to complete a service trip, called Skip the Grid. The trip’s primary goal is to provide a reliable source of power, light, and refrigeration to families with school age children in the Navajo Nation where these resources are absent or unreliable otherwise. This year’s trip took place over Cal Poly’s academic break from March 23rd …
Plansyncc - A Construction Document Translation Software, Easton Richard Abreo, Ashton Lee Gandrup, Javier Solis
Plansyncc - A Construction Document Translation Software, Easton Richard Abreo, Ashton Lee Gandrup, Javier Solis
Construction Management
PlanSyncc was born from shared construction internship experiences, where the team observed significant language barriers between supervisors and tradesmen, leading to miscommunication, inefficiencies, and safety risk. Motivated by this problem, PlanSyncc developed an AI-powered translation software to bridge the gap by translating construction documents in real-time. To bring PlanSyncc to life, the team divided the project into three key deliverables: a Minimum Viable Product (MVP), a business plan, and a pitch deck. The MVP involved creating two Python-based translation codes, one for specifications and another for complex construction plans using tools like PyMuPDF, Tesseract, mtranslate, and others. The business plan …
Academic Senate - Agenda, 4/29/2025, Academic Senate
Academic Senate - Agenda, 4/29/2025, Academic Senate
Academic Senate Agendas
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
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. …
As-994-25 Resolution To Call On Cal Poly's President To Sign The American Association Of Colleges And Universities Public Statement 'A Call For Constructive Engagement', Executive Committee
As-994-25 Resolution To Call On Cal Poly's President To Sign The American Association Of Colleges And Universities Public Statement 'A Call For Constructive Engagement', Executive Committee
Academic Senate Resolutions
The Academic Senate of Cal Poly endorses the Public Statement by AAC&U 'A Call for Constructive Engagement'; and further resolves that the Academic Senate calls on the Cal Poly President to join other higher education leaders in California and across the United States and sign the Public Statement from the AAC&U 'A Call for Constructive Engagement.'
Executive Committee - Agenda, 4/22/2025, Academic Senate
Executive Committee - Agenda, 4/22/2025, Academic Senate
Academic Senate Agendas
No abstract provided.
Academic Senate - Agenda, 4/15/2025, Academic Senate
Academic Senate - Agenda, 4/15/2025, Academic Senate
Academic Senate Agendas
No abstract provided.
Aiops–Driven Adaptive Anomaly Detection In Evolving Cloud Environments Using Transfer Learning, Mayur Shivakumar
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
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
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 …
Peerproxy: A Webrtc Proxy For Http, Nathan Li-En Lee
Peerproxy: A Webrtc Proxy For Http, Nathan Li-En Lee
Master's Theses
Advances in networking technologies have empowered individuals to easily self-host digital services such as websites and smart home systems. However, accessing these services externally often requires port forwarding, which requires manual router configuration, technical expertise in networking, and is sometimes restricted by internet service providers. Proxy-based services such as Ngrok and Cloudflare Tunnels simplify external access by using publicly hosted proxy servers, but introduce increased infrastructure costs and privacy concerns due to reliance on third-party servers that can inspect or store traffic.
This thesis presents PeerProxy, a novel framework that simplifies access to self-hosted web services without manual network configuration, …
Executive Committee - Agenda, 4/1/2025, Academic Senate
Executive Committee - Agenda, 4/1/2025, Academic Senate
Academic Senate Agendas
No abstract provided.
'An Irreversible Flame' & 'Tuned To The Moment', Christianna Gatti, Michaela Velleno
'An Irreversible Flame' & 'Tuned To The Moment', Christianna Gatti, Michaela Velleno
.RAW Journal of Art and Design
No abstract provided.
Full Issue, Erin Robinson, Michaela Velleno
Full Issue, Erin Robinson, Michaela Velleno
.RAW Journal of Art and Design
No abstract provided.
Academic Senate - Agenda, 3/11/2025, Academic Senate
Academic Senate - Agenda, 3/11/2025, Academic Senate
Academic Senate Agendas
No abstract provided.
The Biggest Night In Music: A Case Study Of The Grammy Awards Digital Marketing Strategies, Samantha Canik
The Biggest Night In Music: A Case Study Of The Grammy Awards Digital Marketing Strategies, Samantha Canik
Experience Industry Management
Music has the power to bring people together and create connections. Every year, music fans and artists eagerly anticipate celebrating their love for music at the Grammy Awards through performances, receiving awards, or simply attending. The Grammys serves as the ultimate celebration, uniting people to honor and celebrate all things music. The purpose of this study was to examine the digital marketing strategies of the Recording Academy’s Grammy Awards. Data on digital marketing was collected through a case study and an instrument developed by the researcher. The results of this study highlights the effectiveness of the Grammys’ digital marketing strategies, …
Assessing Arterial Compliance: Utilizing A Surrogate Arm Bench Top Model For Oscillometric Blood Pressure Monitoring, Krystal Cardenas
Assessing Arterial Compliance: Utilizing A Surrogate Arm Bench Top Model For Oscillometric Blood Pressure Monitoring, Krystal Cardenas
Master's Theses
A study was conducted to evaluate the compliance of artificial artery systems utilizing an adaptation of the Yong-Geddes Surrogate Arm model, composed of a blood pressure cuff, artificial artery, pressure transducers, and flow to replicate physiological conditions to validate oscillometric non-invasive blood pressure measurement methods. The experiment phases included tube, blood pressure cuff, and the surrogate arm compliance tests both in static and dynamic conditions. Tube compliance tests showed that larger diameters resulted in increased compliance, with Sample 1 (smaller inner diameter, ID) resulting in an average compliance of 0.0912 mL/mmHg, and Sample 2 (bigger ID) resulting in 0.1597 mL/mmHg. …
Lake Life: An Analysis Of How Human-Centered Design Thinking Has Been Used By The Bureau Of Reclamation Throughout Their Redevelopment Of Lake Berryessa, Lea Marie Fromm
Lake Life: An Analysis Of How Human-Centered Design Thinking Has Been Used By The Bureau Of Reclamation Throughout Their Redevelopment Of Lake Berryessa, Lea Marie Fromm
Experience Industry Management
Design thinking is a human-centered design framework which combines the considerations of feasibility, viability, and deep human empathy. This framework can be applied within the tourism and experience industry, specifically during the brand repositioning of a tourist destination. The purpose of this study was to assess the Bureau of Reclamation’s (BOR) use of design thinking throughout the process of their redevelopment of Lake Berryessa, a popular recreational destination. Research was conducted across numerous government websites, to find that the BOR’s use of design thinking has been effective in some ways and ineffective in others, both prior to and during the …
Optimizing Action Jrpg Combat For A More Engaging Experience, Jeffer Ng
Optimizing Action Jrpg Combat For A More Engaging Experience, Jeffer Ng
Computer Science and Software Engineering
The purpose of this project is to introduce a more engaging combat system for many JRPGs with real-time combat. Most games of this genre have similar combat systems, making it dull. Understandably, the game’s primary focus is world-building. As long as players feel immersed in the world, that is what makes a great RPG. However, combat is equally important to the immersion. Some JRPGs follow a similar combat script or style: a party of four, each with unique abilities and fighting styles, gets swapped based on the context to combo enemies and deal the maximum amount of damage. While it …
Project Blaze: Rhythmic Shape Creation Roguelike, Austin Edwin Tepe
Project Blaze: Rhythmic Shape Creation Roguelike, Austin Edwin Tepe
Computer Science and Software Engineering
Create circles with player movement to build a pivot meter, to then expend the pivot meter to enter slow mode. In slow mode, the player can make polygon shapes that destroy monsters.
Circular Restricted Three Body Manifold Trajectories Via Koopman Operator Theory, Lindsey Langton
Circular Restricted Three Body Manifold Trajectories Via Koopman Operator Theory, Lindsey Langton
Master's Theses
There are a multitude of computational techniques capable of modeling the behavior of nonlinear dynamic systems over time. In the field of astrodynamics, the most frequently used tools are numerical integrators, specifically Runge-Kutta algorithms. These algorithms have successfully produced numerous two-body trajectories, as well as an increasing number of three-body trajectories when two-body dynamic models fail to produce Δv values within the realm of mission feasibility. Koopman operator theory is an alternative method for modeling nonlinear dynamic behavior that captures an approximation of a nonlinear dynamic system on a defined basis in the Hilbert space. The Koopman operator is an …
Design, Test, And Comparison Of A Photovoltaic Thermal Hybrid Solar Collector Utilizing A Thermosiphon, And Theory And Analysis Of Related Predictive Computer Model, Lance Brown
Master's Theses
Design, construction and testing of a photovoltaic thermal collector, or PVT, was completed to determine efficiency improvements of this system compared to a conventional solar panel and to find the thermal energy gained through hot water storage. Flow, driven by density changes from solar radiation, creates a thermosiphon, moving water without the use of a pump and ultimately drawing heat away from the solar panel. This is done to create a more efficient solar panel as well as decreasing potential damage due to high temperatures. Evaluation of electrical efficiency, thermal efficiency and flowrate allow for comparison between other PVT systems. …