Digital Commons Network^™

From Seasonality To Causality: Understanding Urban Water Usage Using Statistical And Machine Learning Models, Kelsey Hawkins

Electrical Engineering and Computer Science (MS) Theses

This study examines the relationship between climate conditions and residential water usage, focusing on how seasonal and environmental changes influence water consumption. Utilizing data from over 100,000 households across three micro-climate zones for over a five-year period, we apply statistical analysis and machine learning techniques to assess the impact of temperature, precipitation, evapotranspiration, and location on water usage. By integrating climate and billing data, this research provides a data-driven approach on water usage behaviors in Irvine, CA, in collaboration with Irvine Ranch Water District (IRWD).

Our analysis utilizes time series modeling, including a Seasonal Autoregressive Integrated Moving Average (SARIMA) and …

Implementation Of Residual Tandem Neural Networks For Photonic Inverse Design, Ponthea A. Zahraii

Electrical Engineering and Computer Science (MS) Theses

Deep-learning approaches can greatly benefit the modeling and design of nanophotonic and optical structures. Traditional full-wave simulations are time and resource-intensive, which can act as a bottleneck in photonic design. On the other hand, deep-learning approaches for designing the response of nanophotonic geometries can be computationally inexpensive and produce accurate and efficient results. In this project, we specifically investigate the case of optical forces near meta-structures. We propose using an inverse design approach with residual blocks to account for the deep nature of this architecture and inherently address the non-uniqueness problem. A tandem approach, which consists of two interconnected models, …

Standardizing Wind Energy Project Bid Process, Phillip Ilarion Pletnikkoff

Student Projects for Graduate Degrees

The SWEPP initiative addressed critical inefficiencies in STG Inc.'s wind energy project bidding. Previously, fragmented practices led to unpredictable outcomes and ineffective knowledge utilization. The project developed two key deliverables through stakeholder analysis: a Comprehensive Bidding Guide and a Lessons-Learned Integration System. The Bidding Guide establishes standardized templates and processes while maintaining flexibility for customization. The Lessons Learned System captures and applies insights from past projects, transforming individual experience into organizational knowledge. Despite initial resistance from experienced professionals, an inclusive approach incorporating their expertise helped overcome implementation challenges—the modular design balanced standardization with flexibility to address diverse requirements. Early results …

Application Of Project Management To Develop A Multifunctional Wheelchair Mount In The Non-Profit Sector, Ruger Johnsen

Student Projects for Graduate Degrees

There are currently few commercially available multi-function accessory mounts for electric wheelchairs that are practical for high-level quadriplegics. Consequently, an individual user must design and create one for themselves, an undertaking that requires significant resources in the form of expertise, time, and money. Wes Price, a quadriplegic, has developed a concept mount for operating a hunting rifle. This project optimized the proof-of-concept by building a prototype and completing a design that can be offered to the public. The primary tasks and deliverables of this project include: 1) Research and develop improvements to the proof-of-concept and prototype 2) Fabricate prototypes 3) …

Survey On Application Of Large Language Models In Network Attack And Defense, Prisha Purohit

Honors Theses

The emergence of Large Language Models (LLMs) has significantly transformed the technological and cybersecurity landscape, introducing both unprecedented opportunities and formidable challenges. With the public release of ChatGPT in 2022, LLMs have gained global prominence, redefining natural language processing capabilities and enabling advancements across various fields. In cybersecurity, these models represent a dual-use technology: while they offer powerful tools for threat detection, automated analysis, and security training, they also pose risks when leveraged by malicious actors for phishing, social engineering, and the creation of evasive malware. This thesis presents a comprehensive literature review exploring the dual roles of LLMs in …

Bridging The Nature Gap: Understanding Barriers And Promoting Outdoor Engagement Among African Americans In Chattanooga, Kennie Almonor

Honors Theses

This paper outlines my process of writing a physical guidebook for outdoor engagement in Chattanooga. It explores the historical context of Black exclusion from outdoor spaces and examines the health disparities that disproportionately affect Black communities. The physical connection between outdoor activity and overall well-being will also be explained. Additionally, this paper details my methodology for conducting focus groups to better understand barriers to outdoor engagement and how participant insights could inform the guidebook’s development. This paper also outlines my research on best practices for structuring an effective guide, writing process, challenges faced, and considerations for extending this project in …

Synthesis Of Single Chain Polymer Nanoparticle Networks By Reinitiating Raft Polymerization, Dallas Donovan

Honors Theses

Hydrogel materials, which are polymer networks comprised mostly of water, hold significant promise for biomedical applications due to their compatibility with biological systems. Conventional hydrogel materials are often brittle and weak, but most applications in biomedical systems require materials to be strong and tough. The topology of a polymer network dictates its mechanical properties. An important strategy for designing tougher hydrogels is the release of stored length, such as from the unfolding of polyprotein cross-linkers. Inspired by the success of the strategy, we report progress towards a fully synthetic design using single chain nanoparticles (SCNPs) into a hydrogel. SCNPs, which …

Arthroscopy And The Future Of Surgery: Personal And Public Health Benefits, Preston T. Koski

Honors Thesis

Arthroscopy focuses on operating on the body using probes and working through keyhole incisions on the skin. This rapidly evolving field has seen many innovations in its technology, aided by advances in optical and surgical capabilities. Moreover, it presents many advantages over traditional surgery that directly impact the patient. Shorter recovery time and lessened scarring, reduced postoperative pain and opioid dependence, and less risk of infection are key benefits over open surgery. These benefits can also be applied to areas of public health. Minimizing the burden on hospital resources, reducing the environmental impact of surgery, and improving cost-effectiveness in healthcare …

Sonochemically Synthesized Zno Nanowires (Nws)-Based Sensor For Non-Invasive Glucose Detection In Sweat, G. M. Mehedi Hossain, Ahmed Hasnain Jalal, Hasina Huq, Nazmul Islam, Karen Lozano, Nezih Pala, Fahmida Alam

Electrical and Computer Engineering Faculty Publications

Glucose is a crucial metabolic marker, providing critical insights into energy regulation and insulin sensitivity, making its monitoring essential for managing diabetes and overall metabolic health. In this context, flexible biosensors have gained considerable attention for their potential to enable real-time and non-invasive glucose monitoring. One promising advancement in this domain is using Zinc-Oxide (ZnO) nanostructures through sonochemical synthesis. ZnO has a wide bandgap of ∼3.37 eV and a large binding energy of 60 meV. This research focuses on ZnO-Nanowires' growth for the first time on a flexible polymer substrate. The average length and diameter of the nanowires are 2.5µm …

Improving Research Software Engineering In Mathematics, Abram Miller

Honors Theses

Research Software Engineering is critical to modern mathematical research, enabling the creation, maintenance, and dissemination of computational tools that bridge theory and practice. However, the field faces systemic challenges, including insufficient funding, lack of institutional recognition, and gaps in training and infrastructure. This thesis investigates these challenges through two approaches: (1) a comparative survey study focused on mathematicians and (2) hands-on contributions to an open-source research software project.

The Improving Research Software Engineering in Mathematics survey, conducted from September 2024 to January 2025, adapts the survey framework developed by Carver et al. in A survey of the state of the …

Reconfigurable Python Autopilot Software For Rc Aircraft, Kate Doiron

Honors Theses

No abstract provided.

“I Can Run At Night!”: Using Augmented Reality To Support Nighttime Guided Running For Low-Vision Runners, Yuki Abe, Keisuke Matsushima, Kotaro Hara, Daisuke Sakamoto, Tetsuo Ono

Research Collection School Of Computing and Information Systems

Dark environment challenges low-vision (LV) individuals to engage in running by following sighted guide—a Caller-style guided running—due to insufficient illumination, because it prevents them from using their residual vision to follow the guide and be aware about their environment. We design, develop, and evaluate RunSight, an augmented reality (AR)-based assistive tool to support LV individuals to run at night. RunSight combines see-through HMD and image processing to enhance one’s visual awareness of the surrounding environment (e.g., potential hazard) and visualize the guide’s position with AR-based visualization. To demonstrate RunSight’s efficacy, we conducted a user study with 8 LV runners. The …

Assessment Of Energy Efficiency Measures Recommended For Industrial Facilities: Environmental, Economic, And Life Cycle Perspectives, Dariush Jafari

Department of Civil and Environmental Engineering: Dissertations, Theses, and Student Research

This study assesses the economic, environmental, and life cycle impacts of more than 800 industrial Energy Efficiency Measures (EEMs) identified in manufacturing facilities across Nebraska. These EEMs are notable for their rapid implementation and minimal disruption to the facility’s building structure or core processes.

The research evaluates the financial viability of EEMs by analyzing utility savings, implementation costs, and payback periods. It also examines their cost-effectiveness in reducing greenhouse gas (GHG) emissions, including calculations of net cost and cost of mitigated CO₂-eq.

Key findings indicate that adding insulation to hot pipes and buildings, replacing personal fans with High-Volume, Low-Speed (HVLS) …

Optimization-Based Distributed Controller For Multi-Agents System In Microgrid Secondary Control, Fahad S. Alshammari, Ayman El-Refaie, Saleh Alyahya, Sheroz Khan

Electrical and Computer Engineering Faculty Research and Publications

Micro-grids function to connect to power system power produced by the renewable energy resources. In islanded micro-grids, grid-forming units collaborate to maintain the micro-grids voltage and frequency by utilizing droop control technique that includes primary, secondary and tertiary levels. Secondary control intervenes to improve power sharing and restore voltage and frequency to their nominal levels. However, the conventional droop control applied to a grid with mismatched line parameters experiences a trade-off between reactive power sharing and voltage regulations. This paper applies real-time trajectory tracking convex optimization to ensure by communicating power sharing between units in a consensus topology. The optimization …

Understanding The Breadth And Impact Of The Ias [President’S Message], Ayman El-Refaie

Electrical and Computer Engineering Faculty Research and Publications

No abstract provided.

Tennessee Magnet Schools: Examining The Relationship Between Magnet School Designation And Student Achievement In Secondary Public Schools, Alex Turner

Electronic Theses and Dissertations

The purpose of this quantitative study was to investigate the relationship between magnet school designation and student achievement in Tennessee secondary public schools. Three years (2021-2023) of student achievement data from the Tennessee Department of Education was used to analyze student performance in 24 magnet and 287 traditional non-magnet schools. Schools were included in the study if they operated continuously throughout the study period and were categorized as either a public magnet school or a traditional non-magnet school. Excluded from the study were virtual, charter, alternative schools, and early colleges.

Four research questions were crafted to guide this study. Student …

The Food Truck: A Multi-Product Newsvendor With Trans-Shipment Cost, Samuel Ajibola

Electronic Theses and Dissertations

The Newsvendor Problem is a key model in supply chain management that focuses on determining the optimal order quantity to minimize costs under uncertain demand. This thesis introduces the Food Truck Problem, an extension of the Newsvendor model that incorporates nonlinear transshipment costs for inventory transportation. In this context, a Food Truck must determine the optimal stock levels for multiple products while minimizing costs related to stock shortages, excess inventory, and transportation. Unlike traditional Newsvendor models, our approach explicitly considers a quadratic transshipment cost, which necessitates the use of Lagrangian duality and Karush-Kuhn-Tucker (KKT) conditions for analysis. Moreover, we apply …

Learning Behaviors In Physics-Informed Deep Learning, Alex Glover

Electronic Theses and Dissertations

Physics-informed deep learning is a methodology in artificial intelligence aimed at combating the large training data requirement and the barrier of domain awareness that deep learning architectures commonly face in applications. Stochastic modeling integrated into the predictive models provides that domain knowledge. Variations of the Intelligent Driving Model impact the learning behaviors of the joint-training architecture. This thesis examines the effect of substituting the standard linear Intelligent Driving Model with a modified nonlinear version, as applied to real human driving behavior on the I-80 interstate. The experimentation also critically evaluates the complications that impede the viability of this architecture in …

Kinetic Analysis Of Hydrolysis And Hydrothermal Conversion Of Methyl Cellulose To Dodecane, Joseph Olembo Were

Electronic Theses and Dissertations

Environmental pollution due to emission of greenhouse gases and increasing global energy demand are some of the concerns associated Analysis with the use of fossil fuels. These concerns have triggered the exploration of sustainable and efficient methods for renewable energy production. One such method is the conversion of cellulosic biomass to hydrocarbon fuels using hydrogen bronze metals. Cellulose is the most abundant biomass globally, and thus its utilization can lead to more sustainable energy production. Previous studies have reported the conversion of cellulose to hydrocarbons at high temperatures and hydrogen pressure. This work focuses on the conversion of methyl cellulose …

A Kinetic Analysis On Hydrolysis And Hydrothermal Conversion Of Cellulose To Dodecane, Joel Nyangoka Onyancha

Electronic Theses and Dissertations

Cellulose, the most abundant biomass on Earth, offers a promising pathway for alternative energy through conversion into alkane hydrocarbons. Traditional methods rely on high temperatures and high-pressure hydrogen, often derived from petroleum. In this study, we investigated the conversion of Microcrystalline Cellulose using hydrogen metal oxides (bronzes) under milder conditions. Following ASTM E3417-24 hydrolysis protocols, we employed hydrogen bronzes with toluene for product extraction. This approach enabled conversion at lower temperatures without pressurized hydrogen. Products were analyzed using Gas Chromatography Mass Spectrometer for identification and Gas Chromatography Flame Ionization Detector for quantification. Our findings revealed the formation of a possible …

The Burden Of Care: A Phenomenological Inquiry Into The Lived Experiences Of Homeless Shelter Administrators Leading Through The Pandemic And Lasting Implications On Program Operations, Marie Adele Wilson

Doctoral Dissertations and Projects

The theories guiding this study are Maslow's Hierarchy of Needs, conflict theory, and complex systems theory, which explain the relationship between the theory and resource limitations and acquisition, systems, and nature of acquiring human needs. The purpose of this phenomenological study is to describe homeless shelter administrators'/directors' experiences delivering services during the COVID-19 pandemic on the Eastern Coast of the United States and Texas. It further seeks to unravel how the pandemic informed the delivery of services and program administration related to homeless shelters and its impacts. The research questions sought to understand the impact of COVID-19 on delivering services …

Exploring Teachers' Experiences Developing Adaptive Learning Systems With High-Stakes Testing Requirements: A Transcendental Phenomenological Study, Brian J. Le Fevre

Doctoral Dissertations and Projects

The theory that guided this study was Bandura’s self-efficacy theory, which was utilized to relate to teachers’ beliefs about engaging in behaviors influenced by high-stakes testing. A transcendental methodology was used for the study design as the study aimed to explore teachers’ shared experiences while bracketing my previous experiences. The sample population consisted of second- to sixth-grade teachers who instructed subjects who were assessed by high-stakes testing in the Southeastern United States. Data was collected using interviews, focus groups, and journal prompt responses. Following data collection, the data was coded and analyzed to develop the essence of the shared experiences …

High School Students’ Sense Of Belonging In Math, Marie Louise Stevenson

Electronic Theses, Projects, and Dissertations

A student’s sense of belonging in math describes the extent to which a student feels that they are a member of their math community. It is important to study math sense of belonging because it is believed that when a student feels that they are a valued and respected part of their math community, they are more likely to exhibit higher participation and performance in their math class and take more math courses in high school and college. They also have an increased chance of pursuing a STEM career. In this study, we investigated the math sense of belonging of …

Evaluating Trauma-Informed Care In Higher Education For Hispanics, Latino/A/X/E, And Afro-Latinos Impacted By Adverse Childhood Experiences, Daylene A. Medina, Lilian Grijalva

Electronic Theses, Projects, and Dissertations

Background: Henshaw (2022) discusses the importance of trauma-informed approaches in higher education institutes by implementing culturally responsive policy, research, and practice to support students impacted by trauma. However, less is known about how effective trauma-informed care is and its impact on the educational outcomes of racial and ethnic minority students, specifically Hispanics, Latino/a/x/e, and Afro-Latinos students in community colleges. Past studies have excluded Hispanics, Latino/a/x/e, and Afro-Latinos from research due to insignificant participation and risk re-traumatization. Objective: This evaluative study aims to determine effectiveness of trauma-informed care for adult (18 and older) Moreno Valley College students in their last academic …

Engineering An In Vitro Hipsc-Derived Cardiac Tissue Construct For Regenerative Medicine Applications, Larry Mendoza

Electronic Theses, Projects, and Dissertations

Cardiovascular disease is the leading cause of mortality across the world with invasive surgeries and pharmaceutical intervention commonly associated with urgent care. Moreover, congenital, progressive, and hereditary heart diseases rely on many forms of medical prevention and intervention (pharmaceuticals, x-rays, bloodwork, etc.). Developing a three-dimensional (3D) cardiac tissue engineered in vitro model to study human cardiac physiology can revolutionize biomedical research. The purpose of this research is to optimize natural & synthetic biomaterials to fuse cardiac stem cells and synthesize a 3D-printed in vitro model for disease modeling, drug delivery, and regenerative medicine. Natural biopolymers needed for such innovations are …

Numalyze: Numerical Analysis Web Application, Dev Kapupara

Electronic Theses, Projects, and Dissertations

Numalyze is an online platform that allows users to run and apply different numerical methods in real time. The application is built using Python and the Flask web framework. It provides an interface where users input mathematical functions and parameters to see the results for root-finding and integration methods, and to also perform reductions on matrices. By using a light-weight web framework and self-coded algorithms which removes dependency on massive external libraries—this application connects theoretical concepts to their practical implementation. It enables students and researchers to visualize the series of steps that each algorithm takes to compute results. Moreover, the …

Exploring The Factors That Influence Telehealth Usage Among Immigrants In The United States: A Mixed Methods Study, Jose M. Garcia-Castañeda

Electronic Theses, Projects, and Dissertations

Background: Immigrants in the United States continue to face barriers in accessing healthcare services which are rooted in systemic inequities, cultural disconnects, and language-related challenges. The growing presence of telehealth services has offered new opportunities to expand access, but it has also highlighted new barriers which are language proficiency and digital literacy which could increase the gap in services for already marginalized populations. These barriers are factors that influence outcomes such as delayed care, reduced preventative care, and overall poorer health outcomes. The Andersen Behavioral Model of Health Service Use (Andersen, 1995) provides a useful framework in understanding how predisposing, …

Effectiveness Of Mental Health Interventions Amongst Parents With Child Welfare Involvement, Clarisa Grano

Electronic Theses, Projects, and Dissertations

This study explores the effectiveness of mental health interventions provided by child welfare agencies to parents involved in the child welfare system. By employing a mixed-methods approach, the research aims to assess intervention outcomes, identify barriers to service utilization, and provide qualitative insights into parents' experiences with mental health services. The quantitative component will gather data on mental health outcomes through structured surveys, while the qualitative component will explore the lived experiences of parents through semi-structured interviews. Findings from this study will contribute to the development of culturally competent interventions and inform policy changes that address systemic inequities in mental …

Time Series Deep Learning Approach For The Intermittent Operational Performance Of A Wellhead Water Treatment And Desalination System, Michael G. Clement

Electronic Theses, Projects, and Dissertations

Distributed water treatment and desalination (DWTD) systems are becoming significant for serving disadvantaged communities that are geographically segregated from centralized water distribution networks. However, given the remote nature of the communities, these systems must operate autonomously adapting to intermittent operations due to varying water use patterns and unavailability of continuous manual labor support. Machine Learning models describing and forecasting system performance are critical, allowing for model-based control, performance forecasting, fault detection, and determination of causal relationships among process attributes. Accordingly, graph convolutional neural networks with an attention mechanism (GATConv) were developed to describe the intermittent operational profiles of a wellhead …

The Hodgepodge Creation: Amalgamated Adaptation In Video Games, Tom Chen, Tom Chen

Electronic Theses, Projects, and Dissertations

Amalgamated adaptation is a concept that involves blending multiple sources into a hodgepodge creation. This practice has become commonplace among game creators in recent years, yet it is neither readily covered nor explicitly mentioned in current video game scholarship. My previous research highlights the profound application of amalgamated adaptation to older texts, particularly myths and sacred texts from various cultures or communities. This method grants creators the autonomy to reinvent these texts in bold and extreme ways, achieved by melding borrowed ideas that complement and, at times, synergize with one another. I argue that single-source adaptations of myths, when reshaped …