Digital Commons Network^™

Remaking Divinity In Aldous Huxley’S Brave New World 2021, Sebastian Vignone

Master's Theses

Humanity is an experience. Shaped through both individual and collective encounters, we understand the self and the world around us as an amalgamation of interactions over the course of our lives. Arguably, one of the most common experiential archetypes is religion, and more specifically the relationship one has with a divine being as it has been framed by a religious institution. While the United States does not have an official religion, there is a host of people who refer to the U.S. as a “Christian nation,” and it is therefore irresponsible to elide the panoply of inequities that run through …

Neural Network For Monitoring Infant Feeding Process In The Smartbottle Device, Jiajun Guan

Master's Theses

To research the relationship between Childhood obesity and infant feeding patterns, the Electrical Engineering Department at California Polytechnic State University has designed a SmartBottle device attaching to the bottom of a baby bottle to monitor the infant feeding process. This project mainly focuses on the software and firmware design, as well as the neural network design of the SmartBottle device. The SmartBottle device is designed to identify infant feeding activities and to record related data for overweight and obesity research on children. This device includes a 6-dimensional inertial sensor that contains a 3-axis digital accelerometer and a 3-axis digital gyroscope. …

Automation, Annunciation, And Emergency Safety Shutdown Of A Laboratory Microgrid Using A Real-Time Automation Controller (Rtac), Do Vo

Master's Theses

Over the last decade, microgrid deployments throughout the world have increased. In 2019, a record number of 546 microgrids were installed in the United States [1]. This trend continues upward to combat extreme weather conditions and power shortages throughout the country. To better equip students with the necessary skillsets and knowledge to advance in the microgrid field, Cal Poly San Luis Obispo's Electrical Engineering Department and the Power Energy Institute have invested resources to develop a laboratory microgrid.

This thesis sets to improve the laboratory microgrid's existing automation using the Schweitzer Engineering Laboratory SEL-3530 Real-time Automation Controller (RTAC). The improved …

Synthesis Of Functionalized Ionic Liquids For Coal Dissolution And Pretreatment, Michael Franklin

Master's Theses

Brown coal (lignite) is a bulk organic mixture of conjugated hydrocarbons that are complexed together via hydrogen bonds. Coal [partial] dissolution is essential to the better utilization of low-rank coal for power sources because the direct combustion of brown coal is not energy efficient. To break hydrogen bonds of low-rank coal and make it partially soluble, this project evaluates a series of ionic liquids (ILs) with specific properties as non-volatile alternatives to conventional organic solvents. A series of nitrogen- and phosphorus-based cations have been synthesized via a nucleophilic substitution reaction, the resultant bromide-based IL being converted to an acetate-based IL …

Characterizing Of Monoamine Neurotransmitters At The Hub Of The Central Auditory System, Patrick Wilson

Master's Theses

In the United States, loss of hearing impacts approximately 48.1 million people. The cumulative effects of noise are experienced in every area of society whether occupational, environmental, or through aging. A number of studies have linked noise induced hearing disorders to changes in spontaneous neuronal activity in certain auditory brain regions, especially, the inferior colliculus, a region that integrates auditory inputs from both ascending and descending pathways. However, the exact neurochemical basis of these disorders remains elusive. Currently, there are several compelling pieces of evidence that implicate the monoamine neurotransmitter, dopamine, in auditory processing. Based on this data, we have …

The Effects Of Vertical Diel Thermocline Movement On The Settling Of Marine Snow In A River Influenced Marine Environment, Nadine Doiron

Master's Theses

To evaluate the role of diel heating and cooling cycles in the upper water column in marine snow settling processes, particle distribution data from 15 marine snow camera casts were analyzed to examine variations in aggregate abundance, ellipsoidal volume, and particle elongation with depth. Data were collected during two cruises aboard R/V Endeavor in the Gulf of Mexico (GoM), EN620 in 2018 and EN642 in 2019. To develop a deeper understanding of daily patterns in marine snow settling, data were collected at the beginning and end of daily heating cycles. Temperature data were obtained by camera mounted Seabird SBE19+ model …

Small-Scale Resuspension And Redistribution Of Surface Sediments In The Northeast Gulf Of Mexico, Austin Harris

Master's Theses

Following the release of ~4.9 million barrels of oil into the Gulf of Mexico from the Macondo wellhead, a vast area of the seafloor contained recently deposited marine sediments contaminated by the oil spill. The initial deposition of these contaminated marine sediments was likely not the end of the journey for the particles. Downslope gravitational processes and events of increased current speed in the deep ocean setting can result in recently deposited sediments to resuspend and be moved laterally with the current flow, increasing the area effected by the oil spill. Erosion experiments performed in a closed-loop resuspension flume were …

Evaluating Marsh Restoration Success Using Structural And Trophic Metrics On Deer Island, Ms, Emelia Marshall

Master's Theses

Coastal marshes in the northern Gulf of Mexico provide essential habitat for various consumer species, however, land loss has severely degraded marsh habitat in this region. Few studies have examined restored black needlerush (Juncus roemerianus) marshes, such as those found in Mississippi (MS), and how they affect faunal inhabitants.

Restoration of Juncus-dominated marshes on Deer Island, MS sought to reestablish ecological functions with the intention of supporting natural consumer assemblages. To test this, quadrat and minnow trap sampling were used to compare invertebrate and nekton abundance, species richness, and diversity of two restored marshes (5+ yrs and …

How Historic Shipwrecks Influence Dispersal Of Deep-Sea Microbiomes, Rachel Moseley

Master's Theses

This thesis investigates how historic shipwrecks potentially shape dispersal of deep-sea microbiomes. Processes impacting dispersal of microbiomes around artificial structures in the ocean and how they connect to other deep-sea habitats is unknown. Dispersal processes are explained for some macroorganisms by theories in ecology, specifically the Theory of Island Biogeography and the Wooden Stepping Stone hypothesis. These have not been investigated for microorganisms, and thus this work will probe if they are applicable to microbial biogeography in this habitat. Experiments were conducted to establish new “island-like” features in near proximity (25-125 m) to wooden-hulled historic shipwrecks in the northern Gulf …

The Effects Of Using Behavioral Skills Training In Teaching Non-Aba Professionals To Implement Discrete Trial Training: A Meta-Analysis, Lindsey Bernard

Master's Theses

This quantitative meta-analysis evaluated the effectiveness of behavioral skills training (BST) for training non-applied behavior analysis (ABA) professionals to implement discrete trial training (DTT), as well as examining the methodological rigor of these studies using WWC design standards. Results indicate that BST produces large effects and the majority of studies either met design standards with reservations or met design standards. As a result, researchers and practitioners may be optimistic that BST is an effective approach to training non-ABA professionals to implement DTT.

Application Of Machine Learning Techniques To Forecast Harmful Algal Blooms In Gulf Of Mexico, Bala Tripura Sundari Yerrapothu

Master's Theses

The Harmful Algal Blooms (HABs) forecast is crucial for the mitigation of health hazards and to inform actions for the protection of ecosystems and fisheries in the Gulf of Mexico (GoM). For the sake of simplicity of our application we assume ocean color satellite imagery from the National Oceanic and Atmospheric Administration as a proxy for HABs.

In this study we use a deep neural network trained on the 2-Dimensional time series proxy data to provide a forecast of the HABs’ manifestations in the GoM.Our approach analyzes between both spatial and temporal features simultaneously. In addition, the network also helps …

Lotus: A Web-Based Computational Tool For The Preliminary Investigation Of A Novel Mst Method Utilizing A Library Of 16s Rrna Bacteroides Otus, Ginger Dewitte

Master's Theses

Microbial Source Tracking (MST) is a field of study that attempts to identify the source of fecal contamination in waterways in order to assist with development of remediation strategies. Biologists at Cal Poly Center for Applications in Biotechnology (CAB) are developing a new MST method using microbes from the genus Bacteroides. Bacteroides species are host-specific microorganisms that can theoretically be used to trace back to a single host species. After fecal samples are collected, biologists use Next-Generation Sequencing (NGS) techniques to obtain only the genetic sequences of microorganisms belonging to the phylum Bacteroidetes. Investigators hypothesize that similar sequences belong …

A Deep Learning-Based Automatic Object Detection Method For Autonomous Driving Ships, Ojonoka Erika Atawodi

Master's Theses

An important feature of an Autonomous Surface Vehicles (ASV) is its capability of automatic object detection to avoid collisions, obstacles and navigate on their own.

Deep learning has made some significant headway in solving fundamental challenges associated with object detection and computer vision. With tremendous demand and advancement in the technologies associated with ASVs, a growing interest in applying deep learning techniques in handling challenges pertaining to autonomous ship driving has substantially increased over the years.

In this thesis, we study, design, and implement an object recognition framework that detects and recognizes objects found in the sea. We first curated …

No More Shade: Deforestation And Rural-Urban Migration In Nigeria, Kambre Sims

Master's Theses

Some of the most well-documented motivating factors of migration in Nigeria include education, employment opportunities, and cultural conflicts. However, as the deforestation crisis has not improved and Nigeria has maintained its spot as the country with the most deforestation on Earth, access to critical forest resources may be in danger. In light of this crisis, this paper attempts to determine if deforestation has become a new motivating factor for migration as those in rural communities seek other avenues of obtaining those vital resources. Subsequently, Nigeria is also experiencing a housing crisis within its rapidly growing urban centers; obtaining and keeping …

Comparing The Efficacy Of Two Affirmation Interventions To Reduce Stereotype Threat Effects On Women’S Math Performance, Alicia Macchione

Master's Theses

Research demonstrates when math-based gender stereotypes are activated (i.e., men are better at math than women), women display comparatively poorer math performance than men, a phenomenon referred to as stereotype threat. The current thesis project evaluated two self-affirmation interventions designed to reduce the effects of stereotype threat on women’s math performance. Participants completed a math test under one of four conditions: control (no explicit stereotype activation), stereotype threat (activation of gender performance stereotype) or stereotype threat combined with one of two self-affirmation manipulations. Women in the affirmation conditions either read about women’s greater verbal or relational ability and were asked …

Trophic Ecology Of Mesopelagic Fish Larvae And Juveniles In The Northern Gulf Of Mexico, Emily Gipson

Master's Theses

The deep-pelagic environment encompasses ocean waters below 200 m depth, and comprises 90% of the volume of the Gulf of Mexico. Deep-pelagic fishes are important prey for many oceanic consumers, but relatively little is known about their early life history, including larval fish trophic ecology. An understanding of the role deep-pelagic fish larvae have in oceanic food webs is important in the development of ecosystem models that examine the connectivity (via vertical migrations) between the deep-pelagic and epipelagic environments with respect to trophic interactions, nutrient cycling, and carbon sequestration. In this study, archived plankton samples collected during 2010 and 2011 …

Study Of Fragility Functions For Assessing Damage To Water Pipe Networks Caused By Earthquake Loading, Dylan Joseph Merlo

Master's Theses

The performance of water lifelines during seismic events is an area of ongoing research. In this study we evaluate eight (8) different seismic events and the impact that ground shaking and ground deformations had on water pipeline systems. The overall goal of this work is to provide municipalities and utility providers with tools for mitigating the consequences of seismic hazards on water lifeline systems by analyzing the accuracy of damage estimation models. Three (3) different repair rate models are evaluated using data collected from the seismic events and compared to observed repair rate data. Results are analyzed to examine the …

Design Of An Ultra-Wideband Frequency-Modulated Continuous Wave Short Range Radar System For Extending Independent Living, Toai-Chi Nguyen

Master's Theses

Falls in the disabled and elderly people have been a cause of concern as they can be immobilized by the fall and have no way to contact others and seek assistance. The proposed frequency modulated continuous wave (FMCW) short range radar (SRR) system, which uses ultra-wideband (UWB) signals can provide immediate assistance by monitoring and detecting fall events. The unique characteristics of this system allow for a frequency-based modulation system to carry out triangulation and sense the location of the fall through the usage of a continuous chirp signal that linearly sweeps frequency. This project focuses on the development, design …

Computational Bone Mechanics Modeling With Frequency Dependent Rheological Properties And Crosslinking, Timothy G. Moreno

Master's Theses

Bone is a largely bipartite viscoelastic composite. Its mechanical behavior is determined by strain rate and the relative proportions of its principal constituent elements, hydroxyapatite and collagen, but is also largely dictated by their geometry and topology. Collagen fibrils include many segments of tropocollagen in staggered, parallel sequences. The physical staggering of this tropocollagen allows for gaps known as hole-zones, which serve as nucleation points for apatite mineral. The distance between adjacent repeat units of tropocollagen is known as D-Spacing and can be measured by Atomic Force Microscopy (AFM). This D-Spacing can vary in length slightly within a bundle, but …

Clustering Web Users By Mouse Movement To Detect Bots And Botnet Attacks, Justin L. Morgan

Master's Theses

The need for website administrators to efficiently and accurately detect the presence of web bots has shown to be a challenging problem. As the sophistication of modern web bots increases, specifically their ability to more closely mimic the behavior of humans, web bot detection schemes are more quickly becoming obsolete by failing to maintain effectiveness. Though machine learning-based detection schemes have been a successful approach to recent implementations, web bots are able to apply similar machine learning tactics to mimic human users, thus bypassing such detection schemes. This work seeks to address the issue of machine learning based bots bypassing …

Towards A Complete Formal Semantics Of Rust, Alexa White

Master's Theses

Rust is a relatively new programming language with a unique memory model designed to provide the ease of use of a high-level language as well as the power and control of a low-level language while preserving memory safety. In order to prove the safety and correctness of Rust and to provide analysis tools for its use cases, it is necessary to construct a formal semantics of the language. Existing efforts to construct such a semantic model are limited in their scope and none to date have successfully captured the complete functionality of the language. This thesis focuses on the K-Rust …

Experimental Investigation Of The Effects Of Acoustic Waves On Natural Convection Heat Transfer From A Horizontal Cylinder In Air, Katherina V. Prodanov

Master's Theses

Heat transfer is a critical part of engineering design, from the cooling of rocket engines to the thermal management of the increasingly dense packaging of electronic circuits. Even for the most fundamental modes of heat transfer, a topic of research is devoted to finding novel ways to improve it. In recent decades, investigators experimented with the idea of exposing systems to acoustic waves with the hope of enhancing thermal transfer at the surface of a body. Ultrasound has been applied with some success to systems undergoing nucleate boiling and in single-phase forced and free convection heat transfer in water. However, …

Controller Modeling And Stability Analysis Of Multiple Input Single Output Dc-Dc Converter, Astha Adhikari

Master's Theses

This thesis entails the stability analysis of the Multiple Input Single Output (MISO) DC-DC converter developed for the DC House Project at Cal Poly. A frequency domain control system model of the MISO converter was designed and constructed using MATLAB Simulink. Transfer functions were derived and modeled for each stage of the converter to best fit the converter circuit system used in the original MISO circuit. Stability metrics such as overshoot, undershoot, rise time, phase margin and gain margin were measured to evaluate and analyze the stability of the converter. These metrics were measured with the original model including the …

Physics Engine On The Gpu With Opengl Compute Shaders, Quan Huy Minh Bui

Master's Theses

Any kind of graphics simulation can be thought of like a fancy flipbook. This notion is, of course, nothing new. For instance, in a game, the central computing unit (CPU) needs to process frame by frame, figuring out what is happening, and then finally issues draw calls to the graphics processing unit (GPU) to render the frame and display it onto the monitor. Traditionally, the CPU has to process a lot of things: from the creation of the window environment for the processed frames to be displayed, handling game logic, processing artificial intelligence (AI) for non-player characters (NPC), to the …

Gpu High-Performance Framework For Pic-Like Simulation Methods Using The Vulkan® Explicit Api, Kolton Jacob Yager

Master's Theses

Within computational continuum mechanics there exists a large category of simulation methods which operate by tracking Lagrangian particles over an Eulerian background grid. These Lagrangian/Eulerian hybrid methods, descendants of the Particle-In-Cell method (PIC), have proven highly effective at simulating a broad range of materials and mechanics including fluids, solids, granular materials, and plasma. These methods remain an area of active research after several decades, and their applications can be found across scientific, engineering, and entertainment disciplines.

This thesis presents a GPU driven PIC-like simulation framework created using the Vulkan® API. Vulkan is a cross-platform and open-standard explicit API for graphics …

Comparing Radiation Shielding Potential Of Liquid Propellants To Water For Application In Space, John Czaplewski

Master's Theses

The radiation environment in space is a threat that engineers and astronauts need to mitigate as exploration into the solar system expands. Passive shielding involves placing as much material between critical components and the radiation environment as possible. However, with mass and size budgets, it is important to select efficient materials to provide shielding. Currently, NASA and other space agencies plan on using water as a shield against radiation since it is already necessary for human missions. Water has been tested thoroughly and has been proven to be effective. Liquid propellants are needed for every mission and also share similar …

Node Classification On Relational Graphs Using Deep-Rgcns, Nagasai Chandra

Master's Theses

Knowledge Graphs are fascinating concepts in machine learning as they can hold usefully structured information in the form of entities and their relations. Despite the valuable applications of such graphs, most knowledge bases remain incomplete. This missing information harms downstream applications such as information retrieval and opens a window for research in statistical relational learning tasks such as node classification and link prediction. This work proposes a deep learning framework based on existing relational convolutional (R-GCN) layers to learn on highly multi-relational data characteristic of realistic knowledge graphs for node property classification tasks. We propose a deep and improved variant, …

A Method For Visualizing The Structural Complexity Of Organizational Architectures, Jacob Michael B. King

Master's Theses

To achieve a high level of performance and efficiency, contemporary aerospace systems must become increasingly complex. While complexity management traditionally focuses on a product’s components and their interconnectedness, organizational representation in complexity analysis is just as essential. This thesis addresses this organizational aspect of complexity through an Organizational Complexity Metric (OCM) to aid complexity management. The OCM augments Sinha’s structural complexity metric for product architectures into a metric that can be applied to organizations. Utilizing nested numerical design structure matrices (DSMs), a compact visual representation of organizational complexity was developed. Within the nested numerical DSM are existing organizational datasets used …

Studying The Efficacy Of An Injectable 3-Dimensional Fibrin Extracellular Matrix To Characterize The Effects Of Antitumor Agents On Sw620 Cells In A Microfluidic Device, Thèo Anastos

Master's Theses

Colorectal cancer is the third most common cancer in the United States and there is currently a lot of research going into new antitumor agents to kill the cancer. One method for replicating the tumor response to a drug in vivo is by creating an in vitro drug testing model to replicate the in vivo condition. This research project was conducted to determine the efficacy of testing tumor cultures in a microfluidic device as a way to provide accurate drug responses in vitro instead of using in vivo subjects in clinical trials. A total of four experiments were conducted with …

Development Of A Hybrid Particle Continuum Solver, Anthony J. Gay

Master's Theses

When simulating complex flows, there are some physical situations that exhibit large fluctuations in particle density such as: planetary reentry, ablation due to arcing, rocket exhaust plumes, etc. When simulating these events, a high level of physical accuracy can be achieved with kinetic methods otherwise known as particle methods. However, this high level of physical accuracy requires large amounts of computation time. If the simulated flow is in collisional equilibrium, then less computationally intensive continuum methods, otherwise known as fluid methods, can be utilized. Hybrid Particle-Continuum (HPC) codes attempt to blend particle and fluid solutions in order to reduce computation …