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California Polytechnic State University, San Luis Obispo

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Moondoggie's Ad, Mia Horvath Jun 2023

Moondoggie's Ad, Mia Horvath

Graphic Communication

I created a 2 minute ad for Moondoggies that defines the brands “attitude” as well as establishes its demographic, highlights the products they sell, and showcases the natural beauty of the region Moondoggies was founded in.


Rebranding Lauren Hope Photography, Lauren H. Toomey Jun 2023

Rebranding Lauren Hope Photography, Lauren H. Toomey

Graphic Communication

Lauren Toomey has been building her business, Lauren Hope Photography, for the past six years. During this time, she has developed a website as well as a social media presence, but has yet to establish a clear brand identity. This project served as motivation for Lauren to define her brand identity, which allowed her to create branding guidelines that could then be implemented across print and digital media.


Barbershop Brand Redesign, Fady Tawfik Jun 2023

Barbershop Brand Redesign, Fady Tawfik

Graphic Communication

My friend Julz has been a barber for 6 years and I recognized the opportunity to assist him in rebranding his barber business. I faced challenges such as finding a brand identity that aligned with the business owner’s preferences while effectively representing the business to the target audience. Despite encountering some delays in completing initial deliverables, such as logo design and brand guidelines, these challenges were essential to ensure thorough research and crafting of a compelling brand strategy. The project encompassed redesigning the website, creating an enticing logo and brand identity, developing a cohesive color palette, and selecting appropriate typefaces. …


Openclosit Instagram Branding, Brenica Sipin Jun 2023

Openclosit Instagram Branding, Brenica Sipin

Graphic Communication

I currently work for a sustainable fashion rental company based in Santa Monica as their marketing and brand reachout lead. The company has a presence on TikTok and Instagram, but there is a lack of cohesion and consistency across all platforms and the overall brand. Throughout my classes in GrC, I wanted to incorporate the knowledge I gained about design and social media marketing into creating an Instagram rebrand and marketing strategy for OpenClosit. Throughout this project, I created three deliverables that will help drive the OpenClosit team to a more cohesive and branded marketing strategy.


Supper: The Social Food App, Alexa Brianne Fernandez Jun 2023

Supper: The Social Food App, Alexa Brianne Fernandez

Graphic Communication

This social app aims to increase a user’s social network through dining experiences. It creates a framework for how their users are to take their connection from the digital realm to the physical one. The app cultivates friendships through individual and group connection, while providing users with suggestions on nearby restaurants to connect in person. This application aims to reach users that may be new to an area and thus may not know anyone and are largely unfamiliar with local restaurants, or even those that simply want to expand their social circle. Because meals are commonly a social or communal …


The Brothers Grimm Fairytale Cookboook, Grace Therriault Jun 2023

The Brothers Grimm Fairytale Cookboook, Grace Therriault

Graphic Communication

Modern technology and the Internet have made cookbooks relatively obsolete. Nowadays you only see them as coffee table decoration, something to flip through but not actually use. Designing a creative and fun children’s’ cookbook based on some of the famous Brothers Grimm fairytales, will encourage kids, ages 5-12, to have some fun in the kitchen and use their imagination to whip up some incredible edibles. This opportunity creates a window for children to get excited about a book and translate what they read into the real world. Lastly, this project is important to me because it the impact experimenting in …


Fourth Wave Feminist Magazine, Chase E. Iseley Jun 2023

Fourth Wave Feminist Magazine, Chase E. Iseley

Graphic Communication

The idea of feminism is often negatively misconstrued, and much of the controversy surrounding feminism stems from perpetuated stereotypes and misconceptions. Although feminism may mean something different to everyone, the advocacy of women’s rights and equality of the sexes should not be overlooked. This magazine will be a collection of articles which clarify misconceptions, define feminism, and highlight women and other supporters. This magazine is an opportunity to educate and inspire future feminists.


Practical Podcasting: A Technical Guide To Producing Studio-Quality Podcasts, Jacob Sarmiento Jun 2023

Practical Podcasting: A Technical Guide To Producing Studio-Quality Podcasts, Jacob Sarmiento

Liberal Arts and Engineering Studies

Podcasting exists at the intersection of the technical aspects of audio engineering and disciplines such as journalism and story-telling. Podcasts at KCPR, the student radio station, cover a wide range of topics including the soundscape of the DIY music scene in San Luis Obispo (SLO) on SLO-Fi, the intricacies of navigating SLO on Cal Poly 101, the best of Cal Poly Athletics on The Gallop, and the voices of underrepresented populations on campus on Different Matters. KCPR utilizes podcasts to entertain and inform its audience of the various experiences possible as a Cal Poly student. As a student-run entity, KCPR …


Refactoring Dependency Loading And Standardizing Factory Patterns In The Horizon Simulation Framework, Jack W. Kelly Jun 2023

Refactoring Dependency Loading And Standardizing Factory Patterns In The Horizon Simulation Framework, Jack W. Kelly

Master's Theses

The Horizon Simulation Framework (HSF) is an open-source community driven mod- eling and simulation tool developed over 15 years by a lineage of Cal Poly graduate students. The tool excels in its flexibility to model an assortment of complex systems, with prebuilt modeling elements available for the simulation of space missions. A high-level simulation tool like HSF lends itself to an agile development cycle as system constraints can be quickly identified through day in the life simulation of the modeled system. The objective of the work presented in this thesis is to refactor the way in which several modeling elements …


Cal Poly Rodeo Team Graduate Assistant Coach, Jesslyn N. Blank Jun 2023

Cal Poly Rodeo Team Graduate Assistant Coach, Jesslyn N. Blank

Agricultural Education: Graduate Internship Reports

This report details reflection on role of an assistant coach with the Cal Poly Rodeo Program.


Solving Supersonic Flows Using The Method Of Integral Relations In Python, Eddie Hsieh Jun 2023

Solving Supersonic Flows Using The Method Of Integral Relations In Python, Eddie Hsieh

Master's Theses

This thesis presents a modern approach to the Method of Integral Relations implemented in the Python programming language. This work is based on South's reports on solving supersonic conical flows and Belotserkovskii's publications on solving supersonic flows over blunt bodies. The Python SciPy library is extensively used in this thesis. A root finder module is used to perform South's solution process, and the Runge-Kutta ODE solver with dense output is implemented to replicate Belotserkovskii's solution process. The implementation of Python makes the development efficient and serves as an open-source framework for future work to build on. This work focuses on …


Range-Doppler Map Processing Chain For Marine Radar On Fpga Of An Rfsoc, Nickolas W. Ogilvie Jun 2023

Range-Doppler Map Processing Chain For Marine Radar On Fpga Of An Rfsoc, Nickolas W. Ogilvie

Master's Theses

To improve the accuracy and resolution of the measurements, radar systems employ increasingly complex, resource-intensive signal processing, larger bandwidths, and higher carrier frequencies. However, implementing these improvements requires more expensive, complex electronics that are larger and use more power. Using RFSoC (Radio Frequency System on Chips) in radars can address these challenges. By combining processors, an FPGA (Field Programmable Gate Array), and RF data converters into a single integrated circuit, RFSoCs allow for radar electronics that are physically smaller, use less power, and are simpler to design. As using RFSoCs to perform RF data conversion for radars has been already …


Implementation Of Log4net And Parametric Modeling Within The Horizon Simulation Framework, Evan Andrew Droz Jun 2023

Implementation Of Log4net And Parametric Modeling Within The Horizon Simulation Framework, Evan Andrew Droz

Master's Theses

Creating system models and simulations allow for rapid, iterative analysis of spacecraft mission performance. This design methodology provides opportunities for improvement before allocating resources towards further physical spacecraft development. Horizon Simulation Framework (HSF) is a system evaluation tool that can be used for the assessment of spacecraft mission performance, subject to mission targets, constraints, and spacecraft design. Specific subsystems are defined for a unique mission case and are evaluated through a Day-in-the-Life (DITL) scenario simulation. Valuable information can be derived from failed attempted mission-related events, highlighting shortcomings in subsystem capabilities. Further information can be unveiled by assessing possible system sensitivity …


Design And Implementation Of A Prototype Pendulum Platform For Aerospace Controls Education, Zachary A. Wright Jun 2023

Design And Implementation Of A Prototype Pendulum Platform For Aerospace Controls Education, Zachary A. Wright

Master's Theses

This thesis presents a modular, low-cost, prototype inverted pendulum platform for undergraduate Aerospace control theory research and education. The platform's default configuration integrates a propeller and reaction wheel as its actuators, with multiple sensors available to measure the pendulum's states. The platform utilizes open-source software and hardware to power the actuators, and uses MATLAB/Simulink to streamline data collection. System identification techniques are applied to the platform, and the mathematical model of the pendulum is verified. Momentum exchange between the reaction wheel and propeller during closed-loop stabilization of the pendulum is demonstrated.


Adaptive Fascism: A Study Of Far-Right Politics In The Americas, Blake Mustachio Jun 2023

Adaptive Fascism: A Study Of Far-Right Politics In The Americas, Blake Mustachio

Master's Theses

Populism as a term is too ambiguous to describe the surge in far-right nationalistic leaders both during the Cold War and the present day. This paper proposes to solve this quagmire by proposing the term adaptive fascism. Adaptive fascism is the idea that far- right leaders using tactics that have legacies within fascist rhetoric have adapted the fascist rhetoric to fit more within the geopolitical situations of each leader’s respective time period. Looking at both leaders of the Cold War, including Jorge Videla of Argentina and Augusto Pinochet of Chile. As well as modern day leaders, Donald Trump of the …


Composite Solid Rocket Motor Case Optimization With Matlab Genetic Algorithm, Aleksandr Breit Jun 2023

Composite Solid Rocket Motor Case Optimization With Matlab Genetic Algorithm, Aleksandr Breit

Master's Theses

This study utilizes MATLAB genetic algorithm (GA) to perform optimization on a solid rocket motor (SRM) chamber structure. The (SRM) structure is modelled as a cylindrical composite laminate where unidirectional fiber orientations are the primary design variable in the optimization problem formulation. Additional design variables such as chamber length, diameter, and internal pressure are altered along with the ply angles to minimize the safety margin towards a near-zero value and encourage efficient layup design. Classical lamination theory with Tsai-Wu failure criterion are used to calculate ply-level safety margins. A thickness minimization scheme is employed to reduce the ply count from …


Enhancing Telecom Churn Prediction: Adaboost With Oversampling And Recursive Feature Elimination Approach, Long Dinh Tran Jun 2023

Enhancing Telecom Churn Prediction: Adaboost With Oversampling And Recursive Feature Elimination Approach, Long Dinh Tran

Master's Theses

Churn prediction is a critical task for businesses to retain their valuable customers. This paper presents a comprehensive study of churn prediction in the telecom sector using 15 approaches, including popular algorithms such as Logistic Regression, Support Vector Machine, Decision Tree, Random Forest, and AdaBoost.

The study is segmented into three sets of experiments, each focusing on a different approach to building the churn prediction model. The model is constructed using the original training set in the first set of experiments. The second set involves oversampling the training set to address the issue of imbalanced data. Lastly, the third set …


Feasibility Assessment Of An All-Electric, Narrow-Body Airliner, Ariel Sampson Jun 2023

Feasibility Assessment Of An All-Electric, Narrow-Body Airliner, Ariel Sampson

Master's Theses

Combustion emissions from aviation operations contribute significantly to climate change and air pollution. Accordingly, there is increasing interest in advancing battery-powered propulsion for aviation applications to reduce emissions. As batteries continue to improve, it is essential to recognize breakthroughs in battery specific energy in the context of air transport vehicles. Most electric aircraft designs and programs have focused on small aircraft because of restrictive battery performance. This work presents a feasibility assessment for an all-electric airliner based on an Airbus A220-100 with turbofan engines replaced by electric motors and propellers. The analysis compares the performance characteristics of the electric airliner …


Parameter Measurement Of 0.33 Hp Synchronous Machine Using Itech Digital Power Supply, Andrew Kargol Jun 2023

Parameter Measurement Of 0.33 Hp Synchronous Machine Using Itech Digital Power Supply, Andrew Kargol

Master's Theses

The classical methodologies for synchronous machine modeling provide a solid estimation for synchronous machine behavior but are limited in terms of accuracy due to the assumptions made in the modeling process. The equivalent circuit model developed by the classical approach breaks down the entire machine into a singular impedance component. This allows the model to be generated more quickly but limits its accuracy. In the pursuit of developing a more realistic model, this thesis outlines the parameter measurement of a Hampden SM-100 synchronous machine. In determining the SM-100’s experimental parameters, this thesis executes and analyzes new experimental approaches to synchronous …


Efficiency Study Of A Hybrid Ac/Dc House, Eunice Dominique Solomon Santiago Jun 2023

Efficiency Study Of A Hybrid Ac/Dc House, Eunice Dominique Solomon Santiago

Master's Theses

With the proliferation of residential-scale renewable energy sources and DC loads, it has become attractive to use residential DC electrical system that could offer benefits over the legacy residential AC electrical system. The Hybrid AC/DC house provides a sustainable alternative to preexisting residential electrical system by having both AC and DC buses. The DC bus facilitates the connection from DC sources to DC loads, whereas the AC bus interfaces AC sources to AC loads. The study develops the equations to calculate losses based on a model consisting of four main components: Multiple-Input Single-Output (MISO) converter, AC-DC converter, inverter, and DC-DC …


Hydric Physiology Of Lizards, Savannah Weaver Jun 2023

Hydric Physiology Of Lizards, Savannah Weaver

Master's Theses

Chapter 1: Animals can respond to extreme climate by behaviorally avoiding it, or by physiologically coping with it. We understand behavioral thermoregulation and physiological thermal tolerances, but water balance has largely been neglected. Climate change includes both global warming and changes in precipitation regimes, so improving our understanding of organismal water balance is increasingly urgent. We assessed the hydric physiology of endangered Blunt-nosed Leopard Lizards (Gambelia sila) by measuring cutaneous evaporative water loss (CEWL), plasma osmolality, body mass, and body condition throughout their active season. On average, G. sila had low CEWL that is likely desert-adaptive, and high …


Play Area Utilization Optimization For Room-Scale Exploration Of Virtual Worlds, Chase Vanderzwan Jun 2023

Play Area Utilization Optimization For Room-Scale Exploration Of Virtual Worlds, Chase Vanderzwan

Master's Theses

Virtual Reality (VR) opens up new possibilities for developers to create immersive worlds and experiences. While it’s possible to craft unique and engaging interactive environments with unprecedented realism, the virtual world is constrained by the real one. Current approaches to player navigation in VR applications include joystick controls, teleportation, and motion-based movement. While these methods are effective in certain scenarios to overcome real-world limitations, my research introduces a novel approach that leverages room scale-based movement, with portals, to traverse a given VR world. This work presents algorithms that accurately predict the percentage of play area utilized, and rules to implement …


Analyzing Robustness Of An Agent Based Model On Action Potentials In Cardiac Tissue, Marion Jon Zollinger Lara Jun 2023

Analyzing Robustness Of An Agent Based Model On Action Potentials In Cardiac Tissue, Marion Jon Zollinger Lara

Master's Theses

An agent based model (ABM) is a computational model with ``agents'' that interact with each other in an ``environment.'' This paper analyzes a particular ABM simulating individual ions in cardiac tissue, with the goal of modelling the strength and consistency of the electrical signals needed for a healthy heartbeat. We build several frameworks based on work by M. A. Yereniuk and S. D. Olson to demonstrate robustness of the original model. We conclude a moderate level of robustness using those frameworks, through a combination of proofs and empirical evidence.


Learning The Game: Implementations Of Convolutional Networks In Automated Strategy Identification, Cameron Klig Jun 2023

Learning The Game: Implementations Of Convolutional Networks In Automated Strategy Identification, Cameron Klig

Master's Theses

Games can be used to represent a wide variety of real world problems, giving rise to many applications of game theory. Various computational methods have been proposed for identifying game strategies, including optimized tree search algorithms, game-specific heuristics, and artificial intelligence. In the last decade, systems like AlphaGo and AlphaZero have significantly exceeded the performance of the best human players in Chess, Go, and other games. The most effective game engines to date employ convolutional neural networks (CNNs) to evaluate game boards, extract features, and predict the optimal next move. These engines are trained on billions of simulated games, wherein …


Balancing Privacy And Accuracy In Iot Using Domain-Specific Features For Time Series Classification, Pranshul Lakhanpal Jun 2023

Balancing Privacy And Accuracy In Iot Using Domain-Specific Features For Time Series Classification, Pranshul Lakhanpal

Master's Theses

ε-Differential Privacy (DP) has been popularly used for anonymizing data to protect sensitive information and for machine learning (ML) tasks. However, there is a trade-off in balancing privacy and achieving ML accuracy since ε-DP reduces the model’s accuracy for classification tasks. Moreover, not many studies have applied DP to time series from sensors and Internet-of-Things (IoT) devices. In this work, we try to achieve the accuracy of ML models trained with ε-DP data to be as close to the ML models trained with non-anonymized data for two different physiological time series. We propose to transform time series into domain-specific 2D …


Suppression Of National Identities: Ukrainian And Baltic Cultures In The Soviet Union, Jonathan H. Mastman Jun 2023

Suppression Of National Identities: Ukrainian And Baltic Cultures In The Soviet Union, Jonathan H. Mastman

Master's Theses

This thesis defines the formation and consummation of Soviet Bolshevism as another imperialist force rather than its stated objective of freeing the people of the United Soviet Socialist Republics from the clutches of an inequitable elite. Through the policies and objectives of the Soviet government the workers and citizens of Ukraine and the Baltic republics were not liberated or given autonomy over their lives and labor, as Marxist-Leninism would have them believe. I review the Russification efforts found first in the Tsarist Russian Empire and then continued by Soviets in the nature of pursuing or denying cultural, political, and economic …


Mmf-Drl: Multimodal Fusion-Deep Reinforcement Learning Approach With Domain-Specific Features For Classifying Time Series Data, Asmita Sharma Jun 2023

Mmf-Drl: Multimodal Fusion-Deep Reinforcement Learning Approach With Domain-Specific Features For Classifying Time Series Data, Asmita Sharma

Master's Theses

This research focuses on addressing two pertinent problems in machine learning (ML) which are (a) the supervised classification of time series and (b) the need for large amounts of labeled images for training supervised classifiers. The novel contributions are two-fold. The first problem of time series classification is addressed by proposing to transform time series into domain-specific 2D features such as scalograms and recurrence plot (RP) images. The second problem which is the need for large amounts of labeled image data, is tackled by proposing a new way of using a reinforcement learning (RL) technique as a supervised classifier by …


Implementation Of Topology Optimization Into The Mechanical Design Process, Nolan Clapp Jun 2023

Implementation Of Topology Optimization Into The Mechanical Design Process, Nolan Clapp

Master's Theses

Topology Optimization is a lightweighting method based on finite element analysis that produces a part with optimum material distribution in the design space. Results from topology optimization often have organic shapes and curves that are difficult if not impossible to machine with traditional subtractive manufacturing methods. This paper analyzes the implementation of the Solidworks® Topology Optimization add-in into the mechanical design process and discusses required postprocessing to ensure manufacturability of the optimized part though a case study on two example parts. Results of traditional optimization, topology optimization and “selective” optimization (optimization using the results from topology optimization to selectively remove …


Effects Of Intertidal Position On The Response To Oxygen And Desiccation Stress In The Common Acorn Barnacle, Balanus Glandula, Megan M. Dotterweich Jun 2023

Effects Of Intertidal Position On The Response To Oxygen And Desiccation Stress In The Common Acorn Barnacle, Balanus Glandula, Megan M. Dotterweich

Master's Theses

Sessile invertebrates in the rocky intertidal experience intermittent periods of air exposure due to tidal flux, presenting risks of temperature extremes, hypoxia, nutrient limitation, and most dangerously, desiccation. Microscale variation in severity and frequency of these risks is widely dependent on vertical position within the intertidal zone. Common acorn barnacles (Balanus glandula) have a wide vertical distribution in the intertidal, creating large differences in microhabitat between the highest and lowest individuals in the population. This study set out to explore whether tidal position dependent differences exist in the response to oxygen and desiccation stress in B. glandula. …


Statistical Uncertainty Of The Ignition Time, Burning Rate, And Extinction Characteristics Of Engineered Timber Products, Jacob David Jun 2023

Statistical Uncertainty Of The Ignition Time, Burning Rate, And Extinction Characteristics Of Engineered Timber Products, Jacob David

Master's Theses

The characterization of flammability parameters such as time to ignition, mass loss rate (MLR), and extinction criteria is critical for understanding ignition and burning behavior of timber products. These parameters, often determined with bench scale experiments, have previously been presented in literature. However, standard test methods generally use relatively low trial quantities (e.g., n=3) which can potentially cause large variation in reported values. This study investigates the influence of trial quantity on observed statistical variation in key flammability metrics for timber products (e.g., ignition time, peak MLR, MLR at extinction). Using a conical heater, 100 repeat trials were conducted …