Digital Commons Network^™

Artist-Configurable Node-Based Approach To Generate Procedural Brush Stroke Textures For Digital Painting, Keavon Chambers

Master's Theses

Digital painting is the field of software designed to provide artists a virtual medium to emulate the experience and results of physical drawing. Several hardware and software components come together to form a whole workflow, ranging from the physical input devices, to the stroking process, to the texture content authorship. This thesis explores an artist-friendly approach to synthesize the textures that give life to digital brush strokes.

Most painting software provides a limited library of predefined brush textures. They aim to offer styles approximating physical media like paintbrushes, pencils, markers, and airbrushes. Often these are static bitmap textures that are …

Evaluating And Improving Domain-Specific Programming Education: A Case Study With Cal Poly Chemistry Courses, Will Fuchs

Master's Theses

Programming is a key skill in many domains outside computer science. When used judiciously, programming can empower people to accomplish what might be impossible or difficult with traditional methods. Unfortunately, students, especially non-CS majors, frequently have trouble while learning to program. This work reports on the challenges and opportunities faced by Physical Chemistry (PChem) students at Cal Poly, SLO as they learn to program in MATLAB. We assessed the PChem students through a multiple-choice concept inventory, as well as through “think-aloud” interviews. Additionally, we examined the students’ perceptions of and attitudes towards programming. We found that PChem students are adept …

Exploring The Impact Of Cognitive Awareness Scaffolding For Debugging In An Introductory Computer Science Class, Jiwon Lee

Master's Theses

Debugging is a significant part of programming. However, a lot of introductory pro- gramming classes tend to focus on writing and reading code than on debugging. They utilize programming assignments that are designed in ways such that students learn debugging by completing these assignments which makes debugging more of an im- plicit goal. In this thesis, we propose a cognitive awareness scaffolding in debugging to help students self-regulate their debugging process. We validate its effectiveness by conducting experiments with students in four sections of a Data Structures course, which is one of the introductory computer science classes at California Polytechnic …

Dynamical Systems And Matching Symmetry In Beta-Expansions, Karl Zieber

Master's Theses

Symbolic dynamics, and in particular β-expansions, are a ubiquitous tool in studying more complicated dynamical systems. Applications include number theory, fractals, information theory, and data storage.

In this thesis we will explore the basics of dynamical systems with a special focus on topological dynamics. We then examine symbolic dynamics and β-transformations through the lens of sequence spaces. We discuss observations from recent literature about how matching (the property that the itinerary of 0 and 1 coincide after some number of iterations) is linked to when T_β,⍺ generates a subshift of finite type. We prove the set of ⍺ in …

Wildfire Risk Assessment Using Convolutional Neural Networks And Modis Climate Data, Sean F. Nesbit

Master's Theses

Wildfires burn millions of acres of land each year leading to the destruction of homes and wildland ecosystems while costing governments billions in funding. As climate change intensifies drought volatility across the Western United States, wildfires are likely to become increasingly severe. Wildfire risk assessment and hazard maps are currently employed by fire services, but can often be outdated. This paper introduces an image-based dataset using climate and wildfire data from NASA’s Moderate Resolution Imaging Spectroradiometer (MODIS). The dataset consists of 32 climate and topographical layers captured across 0.1 deg by 0.1 deg tiled regions in California and Nevada between …

Distribution And Ecological Function Of Pacific Lamprey In The San Luis Obispo Creek Watershed, Parker Kalan

Master's Theses

Pacific lamprey (Entosphenus tridentatus) is an endemic species to coastal watersheds along the Pacific Rim in North America and Asia. The species' geographic distribution is retracting and has not been mapped precisely, and the ability for the species to provide ecosystem services, such as water filtration, for supporting watershed management has not been tested. The San Luis Obispo Creek watershed, California, USA is at the southern end of Pacific lamprey’s retracting distribution, and the San Luis Obispo watershed is impacted by degraded water quality, making investigation of Pacific lamprey in the San Luis Obispo Creek watershed of direct …

A Network Analysis Of Covid-19 In The United States, Joseph C. Mcguire

Master's Theses

Through methods in network theory and time-series analysis, we will analyze the spread of COVID-19 in the United States by determining trends in state-by-state daily cases through a network construction. Previous researchers have found frameworks for approximating the spread of the COVID-19 pandemic and identifying potential rises in cases by a network construction based on correlation of cases between regions [1]. Applying this network construction we determine how this network and its structure act as a predictor for overall COVID-19 cases in the United States by preforming a trend analysis on a variety of network statistics and US COVID-19 cases.

Increasing The Effectiveness Of K-12 Stem Worshops Through Targeted Context And Creative Technolgies, Melina Lopez

Master's Theses

Economic projections reveal a need for one million more Science, Technology, Engineering, and Math (STEM) professionals over the next decade than the United States is producing at the current rate. As a result, STEM education is a major focus of recent legislation and funding in Congress as the number of STEM professionals is inadequate to support innovation and the ever-changing economy. In response to the urgent need for more competitive STEM professionals, there has been a widespread implementation of workshops, organizations, and school programs aimed at amplifying K-12 student STEM literacy and interest. Some programs are even created to specifically …

A Course On Advanced Real-Time Embedded Systems, Krista Round

Master's Theses

This thesis discusses the development of an advanced real-time embedded systems course offered at California Polytechnic State University, San Luis Obispo, which aims to prepare students to design modern complex real-time embedded systems. It describes the goals of the real-time embedded systems curriculum, which includes an introductory and advanced course. Finally, this paper discusses the challenges of creating a successful advanced real-time embedded systems course and proposes changes to the current advanced real-time embedded systems course in response to those challenges.

In-Situ Defect Detection Using Acoustic Vibration Monitoring For Additive Manufacturing Processes, Ali Harake

Master's Theses

The world of additive manufacturing revolves around speed and repeatability. Inherently, the process of 3D printing is plagued with variability that fluctuates with every material and parameter modification. Without proper qualification standards, processes can never become stable enough to produce parts that may be used in aerospace, medical, and construction industries. These industries rely on high quality metrics in order to protect the lives of those who may benefit from them. To establish trust in a process, all points of variation must be controlled and accounted for every part produced. In instances where even the best process controls are enacted, …

An Introduction To Fröberg's Conjecture, Caroline Semmens

Master's Theses

The goal of this thesis is to make Fröberg's conjecture more accessible to the average math graduate student by building up the necessary background material to understand specific examples where Fröberg's conjecture is true.

Out-Of-Core Gpu Path Tracing On Large Instanced Scenes Via Geometry Streaming, Jeremy Berchtold

Master's Theses

We present a technique for out-of-core GPU path tracing of arbitrarily large scenes that is compatible with hardware-accelerated ray-tracing. Our technique improves upon previous works by subdividing the scene spatially into streamable chunks that are loaded using a priority system that maximizes ray throughput and minimizes GPU memory usage. This allows for arbitrarily large scaling of scene complexity. Our system required under 19 minutes to render a solid color version of Disney's Moana Island scene (39.3 million instances, 261.1 million unique quads, and 82.4 billion instanced quads at a resolution of 1024x429 and 1024spp on an RTX 5000 (24GB memory …

Bearing Fault Detection And Classification Using Artificial Neural Networks, Harnak Singh

Master's Theses

Bearings are the essential components of modern rotating machines. Bearing faults can cause severe machine damages or even breakdowns.

In recent years, artificial intelligence and deep learning have been successfully applied to fault detection. In this thesis, convolutional neural networks (CNN) are employed for bearing fault detection and classification. Computer simulations results demonstrate that the CNN based approach is advantageous over the conventional regression model, with an overall accuracy of 99.5%.

A Synthesis Of Classical Boundary Theorems, Lukas A. Dakhlia

Master's Theses

Bounded analytic functions on the open unit disk D = {z ∈ C | |z| < 1} are a fre-
quent area of study in complex function theory. While it is easy to understand the
behavior of analytic functions on sequences with limit points inside D, the theory
becomes much more complicated as sequences converge to the boundary, ∂D. In this
thesis, we will explore boundary theorems, which can guarantee specific desired be-
havior of these analytic functions. The thesis describes an elementary approach to
proving Fatou’s Non-Tangential Limit Theorem, as well as proofs and discussion of
the subsequent classical boundary theorems for specific points, …

Effects Of Experimental Scale On The Adsorption Of Two Pharmaceutical Drugs Detected In Municipal Wastewater Effluent, Michael Moore

Master's Theses

Pharmaceutical drugs are being produced and consumed in increasing quantities every year and are poorly treated by conventional wastewater treatment processes, leading to increasing detection of such compounds in surface water, groundwater, and municipal drinking water. Soil aquifer treatment (SAT) is a promising method for treating these emerging compounds through combined adsorption and degradation of target compounds in soil. This thesis examines the consistency of results from typical studies like adsorption isotherms and soil columns utilized in analysis of SAT performance, across varying experimental scales. The adsorption behavior of two pharmaceuticals was investigated as a function of experimental scale and …

Model-Based Design Of An Optimal Lqg Regulator For A Piezoelectric Actuated Smart Structure Using A High-Precision Laser Interferometry Measurement System, Grant P. Gallagher

Master's Theses

Smart structure control systems commonly use piezoceramic sensors or accelerometers as vibration measurement devices. These measurement devices often produce noisy and/or low-precision signals, which makes it difficult to measure small-amplitude vibrations. Laser interferometry devices pose as an alternative high-precision position measurement method, capable of nanometer-scale resolution. The aim of this research is to utilize a model-based design approach to develop and implement a real-time Linear Quadratic Gaussian (LQG) regulator for a piezoelectric actuated smart structure using a high-precision laser interferometry measurement system to suppress the excitation of vibratory modes.

The analytical model of the smart structure is derived using the …

Design, Fabrication, And Testing Of Mechanical Hinges With Snap-Fit Locking Mechanisms In Rigid Origami Structures, Colby James Scanlon

Master's Theses

The ancient art of ‘origami’ has recently become the source of inspiration for engineers to create structures that can unfold from a compact state to a fully deployed one. For instance, researchers have currently adopted origami designs in various engineering disciplines, including aerospace engineering, robotics, biomedical engineering, and architecture. In particular, architects have been interested in designing origami-inspired rigid walled structures that can be deployed as disaster-relief shelters. This type of design has three main advantages: transportability, constructability, and rigidity. Although there has been increased interests in deployable structures, limited research has been conducted on evaluating their structural performance, specifically …

Viability And Implementation Of A Vector Cryptography Extension For Risc-V, Jonathan W. Skelly

Master's Theses

RISC-V is an open-source instruction-set architecture (ISA) forming the basis of thousands of commercial and experimental microprocessors. The Scalar Cryptography extension ratified in December 2021 added scalar instructions that target common hashing and encryption algorithms, including SHA2 and AES. The next step forward for the RISC-V ISA in the field of cryptography and digital security is the development of vector cryptography instructions.

This thesis examines if it is viable to add vector implementations of existing RISC-V scalar cryptography instructions to the existing vector instruction format, and what improvements they can make to the execution of SHA2 and AES algorithms. Vector …

Simulating Electric Vehicle Short-Notice Wildfire Evacuation In California Rural Communities, Gudrun Derickson

Master's Theses

The transportation sector in California has begun a shift toward adopting Electric Vehicles (EVs) as a primary source of individual and corporate mobility. The US Government and the State of California are initiating public-sector financed charging station infrastructure to help in this change-over to EVs. Automobile companies and private enterprises are also heavily investing in Battery Electric Vehicle (BEV) infrastructure going forward. The state of California is subject to natural disasters such as Fire, Earthquakes, and periodic flooding. Increasing numbers of BEVs may add new challenges to mass evacuations that are often associated with natural disasters. This work focuses on …

Understanding Rare Species In California: An Assessment Of Camatta Canyon Amole (Hooveria Purpurea Var. Reducta) And A Meta-Analysis Of California Rare Plants In Literature, Kieran N. Althaus

Master's Theses

California is currently in the midst of a biodiversity crisis. There are approximately 5,000 native species of plants in California, a quarter of which are considered rare. Determining threats to these rare plants is often times difficult. Despite California's botanical resources, we still know very little about much of California’s rare plants. San Luis Obispo County is home to 2,000 of California’s native plant taxa, one- third of which are rare or endemic to the county. These species are of great local and environmental concern.

In Chapter 1, we attempted to assess the impact of non native species on a …

Girls Build Summer Academy Leadership Summit, Itzell Ruiz

Construction Management

This paper highlights the activities and presentations that will take place during the women in construction leadership summit prior to the Girls Build Summer Academy for high school girls. The leadership summit is a two-day event that will consist of presentations on important leadership and construction topics. The presentations will cover topics such as confidence, safety, leadership assessment activity, tool shop training, emerging trends, career paths, jobsite visit, and a women’s panel. This leadership summit will be implemented in the summer of 2023 and will take place at Cal Poly’s campus in the Construction Innovations Center. The scope of this …

Academic Senate - Agenda, 5/31/2022, Academic Senate

Academic Senate Agendas

No abstract provided.

Academic Senate - Agenda, 5/17/2022, Academic Senate

Academic Senate Agendas

No abstract provided.

The Lick Agn Monitoring Project 2016: Dynamical Modeling Of Velocity-Resolved Hβ Lags In Luminous Seyfert Galaxies, Lizvette Villafaña, Peter R. Williams, Tommaso Treu, Brendon J. Brewer, Aaron J. Barth, Vivian U, Vardha N. Bennert, H. Alexander Vogler, Hengxiao Guo, Misty C. Bentz

Physics

We have modeled the velocity-resolved reverberation response of the Hβ broad emission line in nine Seyfert 1 galaxies from the Lick Active Galactic Nucleus (AGN) Monitoring Project 2016 sample, drawing inferences on the geometry and structure of the low-ionization broad-line region (BLR) and the mass of the central supermassive black hole. Overall, we find that the Hβ BLR is generally a thick disk viewed at low to moderate inclination angles. We combine our sample with prior studies and investigate line-profile shape dependence, such as log₁₀(FWHM/σ), on BLR structure and kinematics and search for any BLR luminosity-dependent trends. We …

Better Leveraging Of Processies And Internal Procedures For Public Forms Used By Planning Departments, William J. Munson

City and Regional Planning

A survey was sent to 517 planning and community development departments across California inquiring about how they use interactive PDF files for forms and applications. 139 cities and counties responded, providing invaluable feedback, with 98% stating that their online forms and applications are in PDF format, 62% confirmed that some or all their PDF's are interactive, and over 72% retype the information in the completed PDF forms they receive in a database or spreadsheet program. Why retype data that has already been typed into an interactive PDF in order to enter it into their tracking systems?

Based on the survey …

Automation Of The Transition Identification Procedure For Trapping Rubidium Atoms In A Magneto-Optical Trap, Michael P. Fletcher

Physics

The words “quantum computer” often conjure images of science fiction and unrealistic technology from an impossible future. Some may even believe that they aren’t real or are only theoretical. The truth is that quantum computers are real, tangible systems with real life uses and rooted in credible scientific research. Today, many groups of scientists collaborate on research into better ways of implementing and improving quantum computing techniques. This paper will be addressing the systems required and phenomena used to achieve neutral atom trapping for quantum computation. This thesis will outline the physical phenomena involved with the frequency tuning process for …

Electrochromic Windows: Return On Investment Analysis, Thomas Michael Caprio

Construction Management

In recent years, sustainability in construction has become a topic of undeniable interest. With sustainability certifications becoming more prominent and desirable, members of the construction industry have begun to seek alternatives for standard systems to keep up with market trends. One of the main issues that the construction industry faces is accessibility of technology. While there are new products and technologies being released frequently, members of the construction industry lack knowledge on the specific details and implications of working with newer systems. One piece of technology that was recently introduced is electrochromic glass, or smart glass. Electrochromic windows analyze sunlight …

As-943-22 Resolution On The Creation Of A School Of Applied Computing, School Of Applied Computing Steering Committee

Academic Senate Resolutions

Adopts the mission, vision, and structure of the School of Applied Computing contained in the attachment to this resolution, and approves the creation of the School of Applied Computing.

One-Dimensional Array Of Optical Dark Spot Traps From Nested Gaussian Laser Beams For Quantum Computing, Katharina Gillen-Christandl, Travis Daniel Frazer

Physics

Quantum computing is rapidly becoming a practical technology, driven by new and advanced quantum systems, each with its own advantages and disadvantages. For neutral atoms as a host system, the natural advantage of long lifetimes is limited by decoherence mechanisms like light scattering. In this work, we computationally investigate a blue-detuned one-dimensional optical dipole trap array to reduce light scattering by holding atoms in minimum light intensity regions. The array consists of two counter-propagating Gaussian beams of differing widths, such that light walls from the larger beam radially confine the standing wave generating the dipole traps. We find this system …

Energy Analysis For Neutron Induced Ternary Fission Events In The Niffte Fission Time Projection Chamber, Vanessa Aguilar

Physics

In this paper, energy analyses were made for investigating ternary fission in neutron-induced fission of U235 and U238 using the Neutron Induced Fission Fragment Tracking Experiment (NIFFTE) collaboration’s fission time projection chamber (TPC) data. The Neutron kinetic energy was calculated from neutron time of flight (nToF) for energy ranges of 0.1 to 32 MeV. Along with this, the Stopping and Range of Ions in Matter (SRIM) software was used to simulate alphas going through an argon gas target in order to calibrate observed energy loss of alphas from ternary fission.