Digital Commons Network^™

Machine Learning-Based Design Of Doppler Tolerant Radar, Kyle Peter Wensell

Dissertations

In this work, machine learning theory is applied to the design of a radar detector in order to train a machine learning-based detector that is robust against Doppler shifts. The radar system is designed to work with data that would be otherwise intractable to conventional optimal detector design, such as transmitted noise waveforms and the effects of one-bit quantization at the receiver. The detection performance of the one-bit receiver is shown to match the performance of the derived square-law sign correlator detector. The resulting learning-based detector also introduces Doppler tolerance to the system, which allows for the successful detection of …

Information Theoretic Bounds For Capacity And Bayesian Risk, Ian Zieder

Dissertations

In this dissertation, the problem of finding lower error bounds on the minimum mean-squared error (MMSE) and the maximum capacity achieving distribution for a specific channel is addressed. Presented are two parts, a new lower bound on the MMSE and upper and lower bounds on the capacity achieving distribution for a Binomial noise channel. The new lower bound on the MMSE is achieved via use of the Poincare inequality. It is compared to the performance of the well known Ziv-Zakai error bound. The second part considers a binomial noise channel and is concerned with the properties of the capacity-achieving distribution. …

Financial Time Series Fusion, Completion, And Prediction With Deep Neural Networks, Dan Zhou

Dissertations

Time-series analysis is essential for a wide range of financial applications, including but not limited to bond valuation, firm earnings forecasts, firm fundamentals predictions, and firm characteristics imputations. Given its considerable value, the financial community has shown a strong interest in refining and advancing time-series analysis techniques. The study in this dissertation contributes to this field by employing advanced machine learning approaches, specifically graph neural networks, deep neural networks, and matrix/tensor methods. The primary objectives are twofold: first, to reveal complex correlations within financial time series to improve prediction accuracy, and second, to enhance the process of integrating and imputing …

Sensing With Integrity: Responsible Sensor Systems In An Era Of Ai, David Eisenberg

Dissertations

Deep and machine learning now offer immense benefits for consumer choice, decision-making, medicine, mental health and education, smart cities, and intelligent transportation and driver safety. However, as communication and Internet technology further advances, these benefits have the potential to be outweighed by compromises to privacy, personal freedom, consumer trust, and discrimination. While ethical consequences for personal freedom and equity rise from these technological advances, the issue may not be the technology itself but a lack of regulation and policy that allow abuses to occur. A first study examines how emerging sensor-based technologies, limited to only accelerometer and gyroscope data from …

A Molecular Dynamics Study On The Destruction Mechanism Of Per And Polyfluoroalkyl Substances Due To Ultrasound Technology, Bruno Bezerra De Souza

Dissertations

Per- and polyfluoroalkyl substances (PFAS) are a group of stable synthetic chemicals that are highly persistent and harmful pollutants to the environment and human health. PFAS have caused a strong public and regulatory response due to their ubiquitous presence in the environment and toxicity to humans. The application of ultrasound is one of the most effective treatment technologies for the mineralization of PFAS in contaminated water. However, this technology is treated as a black box causing the inability to be optimized. Therefore, there is a pressing need to investigate the intricate dynamics of PFAS degradation under ultrasound to unlock its …

Molecular-To-Continuum Scale Modeling Of Aerosols: Atmospheric Application And Beyond, Ella Ivanova

Dissertations

Aerosol modeling is critical for various applications, such as climate forecasting, air quality, and human health impact assessment. During their lifetime, aerosols undergo a complex evolution, usually divided into several stages — formation, processing, transport, and removal — that occur on different scales. Thus, the choice of modeling methods depends on the stage considered. For example, certain stages of particle formation may require nano-scale modeling while aerosol-cloud interactions span from microscale to mesoscale. This study examines the modeling of aerosol behavior over a wide range of scales, from nano to microscale, with implications to mesoscale.

This dissertation focuses on two …

Microplastic Abundance And Removal In Stormwater Using Green Infrastructure, Meghana Parameswarappa Jayalakshmamma

Dissertations

Microplastics (MPs) are increasingly recognized as a pervasive environmental contaminant, conveying other contaminants, accumulating in aquatic organisms, and posing ecological risks. The existing research has primarily focused on MPs in wastewater treatment plant effluents in surface waters. However, the role of stormwater systems in MP transport has been less explored. Given the rise in MPs from urban sources, stormwater runoff from urban areas may serve as a critical conduit for transporting land-based MPs into aquatic environments. Green infrastructures (GIs) have been recognized for mitigating flooding and improving water quality from minor storms by trapping stormwater pollutants. Yet, the capability of …

A Machine Learning-Assisted Steering And Scheduling Framework For Big-Data Scientific Workflows On Heterogeneous Computing Platforms, Yijie Zhang

Dissertations

In next-generation scientific applications, the exponential growth of big data necessitates advanced techniques for efficient data storage, processing, and analysis. This has led to the construction of intricate computing workflows, managed and orchestrated by powerful engines in big data systems as exemplified by Hadoop. As scientific applications increasingly shift towards simulation-centric approaches, traditional methodologies face new challenges in accommodating the complexity of extreme-scale numerical modeling with numerous tunable parameters. To address these challenges, this dissertation propose to develop a machine learning-assisted framework that enables autonomous computational steering of scientific simulations and optimized execution of big-data workflows on heterogeneous platforms. This …

Development Of Super Hydrophobic Membranes And Their Applications, Sumona Paul

Dissertations

Effective liquid phase separation is vital across industries, especially in aviation, chemicals, fuels, and textiles. Membrane technology offers advantages over traditional methods like distillation, with low energy consumption and protection for heat-sensitive molecules. Membrane performance is assessed based on factors such as materials, surface modification, and interactions. This research targets superhydrophobic membranes for liquid-liquid filtration and antiwetting omniphobic membranes for membrane distillation, focusing on properties like contact angle and thermal resistance.

This study presents a highly hydrophobic membrane achieved by immobilizing carbon nanotubes (CNTs) onto a PTFE microfiltration membrane. It's designed for dewatering organic-water mixtures with trace water content via …

A Correlational Study Of The Relationship Of Nurses' Pain Assessment And Patients' History Of Substance Abuse, Valerie A. Esposito Kubanick

Dissertations

Patients experience physical pain for a myriad of reasons. The patients' expression of pain is often difficult to quantify and treat based on individuality of the patients and the viewpoint of the nurses. Therefore, the treatment of pain can become discounted or marginalized, especially in patients who use alcohol or drugs. The use of opioids is the gold standard for pain management, but current administering trends are to use less, or to use non-opioid treatments for fear of patient dependency. There is also an opioid epidemic and patients are sometimes categorized into this unfortunate situation as a precaution. Nevertheless, pain …

The Value Of Mentorship For Black Ballerinas, Anna Dunn

Dissertations

Much research has been done in other fields about the relationship of gender and race to the success of mentors to increase student confidence to pursue additional training or a career in certain fields. The purpose of this study was to articulate formally the importance of the relationship between Black ballet students and a mentor who has lived a similar life experience, having navigated the ballet industry as a Black ballerina. This research sought to answer the questions of what value do Black ballet students perceive in having a Black ballerina as a mentor and how white ballet teachers can …

Promoting Civic Engagement And Knowledge Amongst Middle School Adolescents Through Simulation Based Teaching Models, Karrie Palmer

Dissertations

Public schools, and education in general, were founded on the principles of preparing young people to participate in civic life as active and informed citizens. Yet, civic competency scores are consistently low and demonstrate that students are not prepared for the civic engagement required of them when they leave school. The purpose of this quasi-experimental mixed methods study is to determine if participation in simulations and utilizing experiential learning theory while teaching the government standards will lead to a greater understanding of civics, and a positive improvement in students’ beliefs and values regarding civic engagement beyond the classroom. While the …

Thinking Outside The Box: Exploring The Instructional Conversations Model Beyond English Language Learners Into Gifted Learners, Terri Thornton

Dissertations

Gifted students, characterized by exceptional intellectual abilities and unique learning needs, often find themselves navigating an educational landscape that may not fully cater to their specific requirements. Traditional teaching methods may fall short of engaging and challenging these students to realize their full potential. This dissertation delves into the efficacy of instructional conversations as an innovative pedagogical approach tailored to the distinctive learning profiles of gifted students. Through a comprehensive examination of relevant literature, theoretical frameworks, and empirical evidence, this study seeks to illuminate the impact of instructional conversations on the academic, social, and emotional development of gifted learners.

The …

Business Students’ Perceptions Of The Influence Of Career, Technical, And Agricultural Education (Ctae) On Career Readiness And Graduation Outcomes, Spencer T. Fortson Jr

Dissertations

This qualitative study sought to identify and analyze the perceptions of business students on the influence of CTAE programs on career readiness and graduation outcomes. The study adopted a phenomenological approach to explore how and why students develop their perceptions of CTAE. Notably, the study explored how business students perceive the programs and their roles in promoting career readiness and graduation outcomes and provide recommendations to improve student engagement and interest in CTAE programs. The study was conducted in a large high school in Georgia among a diverse population – regarding gender, race, and socioeconomic status – of students. Notably, …

The Impact Establishing A Focus On Learning Through Plcs Has On Student Growth In Elementary Mathematics, Heather Hodge

Dissertations

This quantitative study examined the impact of professional learning communities (PLCs) implementing a “Focus on Learning” in a Title I school in north central Georgia. The purpose of this study was to determine the impact PLCs can have on student growth and achievement in fourth and fifth-grade mathematics, once teachers spend time identifying essential standards for their respective grade level. The researcher conducted this study during the first year of implementation, so the findings will be used to identify ways to build and improve PLCs at their school in order to increase student growth and achievement in mathematics.

Inclusivity Within The Digital Age, Jarvis Denmark

Dissertations

This qualitative study takes a phenomenograpichal interest in the experiences of students in a school district that responded to the Covid-19 pandemic by using digital tools for instruction and to support a culturally relevant learning experience. Previous research focuses on teacher beliefs and the benefits of multiliteracies as they intersect with Culturally Relevant Pedagogy, but few studies have analyzed the experiences of students who are the prime beneficiaries of culturally relevant instructional practices. The thick description in this study was aimed at optimizing student voice, especially the voices of students of color. Also, the aim of the research was to …

Exploring The Invisible Work Of Nursing: A Case Study Of Simulated Increases In Intensity Of Care On Nurses' Cognitive Load, Clinical Judgment, Stress, And Errors, Laura A. Vasel

Dissertations

Nurses have never before had so much data at the bedside, nor the complex patients and practice environments found in acute care settings today. Processing large amounts of information from multiple sources may result in cognitive overload which may negatively impact patient outcomes. To meet the challenge of improving quality of care, a conceptual model was created to guide research exploring the associations between the cognitive work of nursing, nursing care, and the complex context of the hospital setting. The purpose of this research was to explore the invisible cognitive work of nursing by examining relationships between cognitive load, nursing …

Teachers’ Perceptions Of The Impact Of Iready On Student Reading Achievement For Students In Response To Intervention, Althia Gates

Dissertations

This qualitative case study aimed to explore teachers’ perceptions of the impact of i-Ready on student reading achievement for students in Response to Intervention (RTI). In this qualitative case study, participants were given an opportunity to voice their point of view and perceptions of the impact of i-Ready, including the benefits and barriers they experience when implementing i-Ready as an intervention tool for struggling readers. The need to hear teacher voices and perspectives on an RTI intervention tool is essential to providing students with the best learning experience and growth results. The study included five elementary teachers who implement i-Ready …

The Lived Experiences Of K-12 Instructional Technology Leaders During Covid-19, Robin Jackson

Dissertations

This study examines the lived experiences of K-12 Instructional Technology Leaders in rural schools and school districts throughout Mississippi. It sought to explore the challenges that were encountered, the strategies they were employed, and the lessons that were learned during the COVID-19 pandemic, as traditional classroom teaching and learning was abruptly transitioned to 100% online or remote teaching and learning. Five participants were recruited. Only one participant holds the actual title of an instructional technology leader of their school district, while the other four assumed the role and responsibilities of an instructional technology leader for their schools or school districts. …

Improving Standardized Test Scores, Spatial Ability, And Interest In Math With The Introduction Of 3d Printers Into High School Math Classes, Charles Moore

Dissertations

Mathematics education faces significant challenges with declining ACT scores, national math proficiency rates, and a prevalent dislike for the subject among high school students. Spatial thinking ability, crucial for success in STEM fields, intersects with mathematical comprehension, suggesting a potential avenue for improvement. This study addresses these challenges by integrating 3D printing technology into secondary mathematics instruction. Employing a quasi-experimental quantitative research design, the study evaluates the impact of 3D printers on ACT math scores, spatial abilities, and attitudes toward mathematics. Results from ANOVA tests indicate marginal increases in spatial test scores and positive shifts in students' interest, self-confidence, and …

The Effects Of Free Volume And Processing On The Development Of Gas Separation Membranes, Jacob Schekman

Dissertations

Structure, thermal, mechanical, gas transport, and free volume properties of thiol-ene based systems are investigated and discussed. In the pursuit of generating low energy-cost polymer membranes for gas separation, it became apparent that UV-curing of thiol-ene materials presented several routes toward achieving this goal. Network structure plays a vital role in determining the gas transport properties of membrane materials. UV photopolymerization techniques provide a means to rapidly vitrify network morphologies which can be tuned depending on choice of monomer. Thiol-ene monomers offer a broad range of precursor materials from which to choose for the design of functional membrane materials.

Chapter …

The Effectiveness Of Curriculum Assessment Literacy Training For Head Start Teachers On Teacher Fidelity Scores And Class Assessment Scores, Netice Rankin, Netice Danyell Rankin

Dissertations

The purpose of this study was threefold, first to assess teachers’ initial knowledge of The Curriculum Fidelity Assessment Tool among Head Start Teachers utilizing the self -assessment. Secondly, the purpose was to assess if an intensive curriculum assessment literacy training made a difference in teacher’s knowledge of the curriculum fidelity Use as measured by The Curriculum Fidelity Assessment Tool for Administrators as reported by ECD Coaches and PI at the pre-test and post-test level. Third, the purpose of this study was to assess if intensive assessment literacy training makes a difference in the variables of interest, namely, curriculum use, classroom …

Enhancing Cybersecurity In Wireless Sensor Networks: Machine Learning, Blockchain And Future Perspectives, Ilemona Solomon Atawodi

Dissertations

Security in the Industrial Internet of Things encounters various security issues but the main issues can be broken down into three core issues: Availability, Integrity, and Confidentiality. Security challenges generally tend to be caused by a failure of the system in one of these areas or cause a failure in one of these areas. Therefore researching scalable solutions to these security issues is prudent to explore methods that could be applied to large-scale industrial IIoT with tens to hundreds of devices as well as small-scale systems on a tiny factory floor comprising of just a few devices. In our research, …

Exploring The Influence Of Integrating Soft Skills Training Into The Undergraduate Stem Curriculum On The Stem Identity Of Students, Candace King

Dissertations

One of the major issues that STEM graduates face is overcoming Imposter Syndrome, and there is a consensus amongst STEM graduates and job recruiters that the current higher education system is missing some elements that could better prepare students for a successful STEM career. A solution to this issue results from recent research on the importance of “soft skills.” In general, “soft skills” or non-technical skills, include communication, critical thinking, and self-motivation. These skills complement “hard skills,” or technical skills, such as skills needed for performing laboratory experiments, like pipetting and Western blotting. The lack of soft skills among recent …

Enabling High-Rate Thermoplastic Composite Manufacturing Through Structure-Processing-Property Relationships Of Polyphenylene Sulfide, Lina Ghanbari

Dissertations

In this dissertation, relationships between polyphenylene sulfide (PPS) chain structure and melt processing parameters are linked to thermoplastic composite (TPC) properties and mechanical performance. Deviations from linear PPS structure and the formation of branching/crosslinked moieties upon exposure to TPC manufacturing steps presents an opportunity to systematically uncover the interdependencies of melt-state thermal history on polymer rheology, crystallization, crystal structure, and translate these properties to the continuum level. This work first explores unreinforced PPS and how the formation of non-linear chain architectures yield altered rheological states when held at melt processing temperatures. These hindered chains exhibit unconventional crystallization behavior and non-uniform …

A Mixed Methods Evaluation Of Three Quantitative Approaches For Examining Persistence, Angela J. Rockwell

Dissertations

Institutional researchers use skills from their diverse backgrounds to collect, analyze and report data about their institutions to stakeholders representing various interests and levels of data literacy. However, there is little research into how these professionals process data and none into what aspects are important to institutional researchers when planning and executing these analyses. Given the importance of student persistence in higher education, this study used mixed methods to examine the factors institutional researchers consider when selecting a quantitative approach to exploring persistence and how they apply to selecting a quantitative approach. Three approaches (proportions, logistic regression, and discrete time …

Enhancing Chinese Language Learning Through Problem-Solving Gameplay, Weihsuan Lo

Dissertations

Integrating 21st-century skills into language education faces challenges in providing meaningful, skills-based activities beyond traditional vocabulary and grammar instruction. This study addressed the need for updated curricula that aligned learning goals with 21st-century labor market demands, emphasizing the development of creative thinking, critical thinking, communication, and collaboration skills (P21 4C skills). Teacher-centered approaches in Chinese language education further complicate the adoption of student-centered pedagogies. To overcome these challenges, the study proposed using game-based learning to create an inclusive and dynamic learning environment that fostered language proficiency and P21 4C skills. The FIXIT card game was introduced as an educational tool …

Practices, Curricula, And Perspectives: Creating Equitable And Inclusive Science Higher Education Classrooms, Victoria Lee Duncan

Dissertations

How can Science, Technology, Engineering, and Mathematics (STEM) faculty create environments where students do not feel marginalized? Changes are necessary to address the historically exclusive climate, systemic oppressive classroom policies, and practices dominated by White, patriarchal, Eurocentric perspectives in many STEM classrooms. Faculty incorporating approaches and practices documented in the literature across time and multiple STEM disciplines can create equitable and inclusive (EI) classrooms. However, the challenge for faculty is consolidating the information to identify fundamental elements necessary for establishing EI classrooms. By synthesizing and cataloging components found in the literature, following a qualitative meta-synthesis framework, the purpose of Project …

Exploring The Efficacy Of Using An Online Survey To Measure Functional Literacy Among College Students, Emily Jane Dever

Dissertations

This research study was conducted to examine the efficacy of using an online survey to assess the literacy proficiency of college students in an area of the United States with historically low socioeconomic status. Two research questions were written to guide the study:

R1. What is the factor structure of the Online Collegiate Literacy Scale?

R2. What relationship exists between literacy and college students from areas of the United States with a high concentration of poverty?

A literacy measure was created and evaluated in three steps: writing and pretest by subject matter experts; pilot test; and data collection and data …

Simulacra Alligoría Spílaio Socráti A Reconsideration Of The Allegory Of Socrates Cave: Game-Based Theory In Inclusive Higher Education, Barry Karrh

Dissertations

This dissertation addresses the use of Game Based Learning (GBL) and Game Based Pedagogy (GBP) implemented in higher education and considers what effects may be measured on retention and learning.

Using the allegory of Socrates Cave, a story which challenges how learners’ perspectives differ according to each individual’s unique understanding, this study considered how participants reacted in similar scenarios during ‘serious games’ implemented in college level classes to reinforce and review material before testing. This study used a pre- and post-test model to assess the difference games used as an intervention had on short-term retention. The final credential scores of …