Digital Commons Network^™

Identifying Redundant Audio Content Over Cloud Environment Using Deduplication Techniques, Venkatesh K

Theses and Dissertations

Cloud computing has become an integral part of modern internet-based services, with users relying heavily on cloud environments as primary storage solutions. However, the exponential growth in data volume presents a challenge (i.e) the proliferation of duplicated content within cloud repositories. Deduplication techniques provide a promising approach to mitigate this issue. This research focuses on detecting redundant audio content within a cloud environment, specifically targeting the sharing of extensive audio files, such as those in Waveform Audio File Format (WAV). The study proposes the Refined Super Subset Identification Algorithm (RSSIA) to efficiently identify redundant content and segments within existing audio …

Aircraft Control, Collision Avoidance, And Remote Autonomy In Scenarios With Ground Radar Information, Jaron Charles Ellingson

Theses and Dissertations

Unmanned aircraft systems (UAS) have become integral to various modern applications, including package delivery, security, medicine, and recreation. The autonomous operation of UAS significantly enhances their utility by improving performance and reducing operator workload, enabling collaborative missions such as boundary detection, border protection, and target tracking. To ensure safe integration of UAS, more work needs to be done in the areas of control, estimation, collision avoidance, path planning, hardware implementation, and autonomous practices in general. For this dissertation we chose to focus on the critical areas of control, collision avoidance, and remote autonomy. Our research is motivated by the need …

Improving Data Curation With Spectral Clustering And Shannon Entropy: An Unsupervised Approach Within The Data Washing Machine, Erin Hathorn

Theses and Dissertations

In the ever-expanding landscape of digital technologies, the exponential growth of data presents both challenges and opportunities, demanding innovative approaches to data curation. Effective data curation is pivotal for extracting meaningful insights from vast and complex datasets. This study explores the integration of spectral clustering and Shannon Entropy within the Data Washing Machine (DWM), a novel tool designed to streamline unsupervised data curation processes. The DWM incorporates Shannon Entropy into its clustering process, allowing for adaptive refinement of clustering strategies based on entropy levels observed within data clusters. Spectral clustering, known for its ability to handle complex and non-linearly separable …

Compliant Structures Facilitate Less Invasive And Biomechanically Improved Lumbar Spinal Implants, Daniel J. Orr

Theses and Dissertations

Implants used in lumbar spinal fusion and lumbar total disc replacement procedures have improved substantially over the years, however, the opportunity remains to improve either the adjustability, durability, motion, or minimally invasive characteristics which could aid in achieving optimal surgical outcomes. It is hypothesized that the inherent advantages of compliant mechanisms specifically Deployable Euler Spiral Connectors (DESCs) and a new mechanism known as the interior contact aided rolling element (I-CORE) are well suited for each of these applications and will be explored and utilized as the basis of these proposed designs. By addressing these challenges, the research endeavors to improve …

Ionic Nanomedicines And Biocompatible Hydrogel: Synthesis, Characterization And Application In Cancer And Drug Delivery, Mujeebat Bashiru

Theses and Dissertations

This dissertation is focused on the development of novel class of ionic materials (IMs), and ionic nanomedicines (INMs) for cancer treatment. These IMs are composed of two therapeutics combined via electrostatic attraction. The impact of various counterions on the drug’s cytotoxic and photophysical properties are unveiled. Moreover, the mechanism of internalization, enhanced toxicity of these materials is investigated by determining their cellular uptake, subcellular localization, and cell death mechanism. Furthermore, the in vivo bioimaging capabilities of the drugs is investigated to validate their potential for clinical relevance. The second part of this dissertation is focused on the synthesis of biocompatible …

Investigation On The Impact Of Loading Effect Of Fruit Juices On The Performance Of Pulsed Electric Field Generators, Devi S

Theses and Dissertations

Pulsed Electric Field (PEF) treatment is one of the efficient non-thermal food processing techniques which is being preferred as a replacement for thermal pasteurization methods. The effectiveness of PEF treatment was measured in terms of reduction in the microbial load in the food, extension of shelf life of the food and retention of nutritional properties of the food. The successful implementation of the PEF treatment depends upon various aspects such as design of pulse generator, parameters of pulse generator, shape and size of the treatment chamber and most importantly the characteristics of each food items. Design and fabrication of a …

Advancements Of A Vibration-Based Sound Power Method For Direct And Indirect Applications, Ian Charles Bacon

Theses and Dissertations

This dissertation advances the Vibration-Based Sound Power (VBSP) method for measuring the sound power of vibrating structures, expanding its applicability to a wider range of geometries and acoustic environments. The research addresses limitations of traditional sound power measurement techniques by developing an alternative method that achieves near Precision (Grade 1) accuracy while maintaining feasibility for in situ testing under uncontrolled acoustic conditions. After reviewing the current VBSP method in Unit 1, Unit 2 introduces stitching techniques for Scanning Laser Doppler Vibrometer (SLDV) measurements, enabling accurate 3D scans and extending the method to complex geometries. Experimental validation is provided for baffled …

Integrating Gis And Ca-Markov Model To Study Urban Dynamics Of Salem, India In Terms Of Pattern, Intensity And Direction, Linda Theres B

Theses and Dissertations

Urban populations have grown substantially in the modern era and the information age as people seek better living prospects. Currently, more than half of the world's population resides in the cities. Such growth must be monitored to ensure that people enjoy the boons of urban spaces, not the banes. Recognising the significance of urban studies, several researchers have attempted to analyse and predict urban dynamics using remote sensing, Geographic Information Systems, and machine learning methods. However, certain limitations exist, especially in improving the CAMarkov model's prediction performance. In addition, studies have suggested that growth characteristics, such as pattern, intensity, and …

Actuation And Stabilization Of Volume-Efficient Origami-Inspired Mechanisms, Hunter T. Pruett

Theses and Dissertations

Trends in the aerospace industry are driving payloads to be smaller and less expensive while yet delivering comparatively large antennas. Deployable reflectarray antennas (RA) are the object of much research to meet these demands because they operate in a flat plane and are easier to stow than parabolic reflector antennas. Because they operate in flat plane, deployable RAs are well-suited to thickness-accommodated origami-inspired mechanisms. This work addresses pattern selection and modification, thickness accommodation, actuation, and stabilization of origami-inspired mechanisms intended to be used as RAs. First, a modified Miura-ori pattern termed volume-efficient Miura-ori (VEMO) is introduced, selected for its ability …

Magnetic Resonance Imaging Of Ultrasound Fields For Visualization And Measurement Of Pressure Amplitudes, Paul-Emile Victor Passe-Carlus

Theses and Dissertations

In vivo pressure estimations for therapeutic ultrasound has the potential of rendering treatments using non-invasive ultrasound targeting safer and more reliable. By quantifying pressures and their respective spatial locations, better acoustic predictions and models can be made. In this thesis, we aim to measure a pressure field from a piezo-electric transducer through a ballistic gel medium by using an external gradient coil to encode the pressure field in a way that can be read and quantified using an MRI scanner. We describe the methods and the results pertaining to visualizing a pressure field. The setup was able to capture pressure …

Design And Analysis Of Optimal Energy Efficient Routing Protocols For Lifetime Maximization And Qos Enhancement In Wireless Body Area Networks, Karthikeyan S

Theses and Dissertations

In recent times, Wireless Body Area Networks (WBAN) a subsection of Wireless Sensor Networks (WSN) a promising technology for the future healthcare realm with cutting-edge technologies that can assist healthcare professionals like doctors, nurses and biomedical engineers which enables one-to-one care by implementing Tele-Medicine and Tele-Health solutions. Machine Learning (ML) and Internet of Things (IoT) enabled medical big data is the future of the healthcare sector and Medical Technology-based industries leading to applications in other sectors such as fitness tracking for commercial purposes, Sportsperson health monitoring to track their day-to-day activities and wearable devices for critical and emergency care.

Recent …

Evaluation Of Bridge Deterioration Factors: From Design Parameters To Community Impact., Lawrencia Akuffo

Theses and Dissertations

The structural health and economic variables influencing the state of bridges in New Jersey are thoroughly examined in this thesis. The predictive modeling of bridge conditions using stepwise selection and linear logistic regression approaches is the primary focus of the opening chapter. With its precise predictions about bridge condition, either being fair/good, our model offers insightful information about resource allocation and maintenance by identifying bridge features which affect the deterioration of bridges the most. This gives effective infrastructure management, which not only relies on the identification of the important predictors and their effects on bridge conditions but also ranks them …

A Comprehensive Ml And Ai Framework For Intersection Safety: Assessing Contributing Factors, Surrogate Safety Measures, Non-Compliance Behaviors, And Cost-Inclusive Methodology, Deep Patel

Theses and Dissertations

Intersection safety, particularly in traffic management, has emerged as a pressing concern due to its substantial contribution to road crashes and fatalities. In recent years, understanding road users' behavior and conflicts at intersections has become essential for evaluating traffic safety. According to the Federal Highway Administration (FHWA), in 2020, over 50% of fatal and injury crashes occurred at or near intersections, necessitating further investigation. This study addresses this issue through an innovative blend of comprehensive literature review, advanced machine learning algorithms, artificial intelligence (AI) technologies, surrogate safety measures (SSMs), non-compliance behavior, and emphasizing the economic aspects of traffic incidents. First, …

Temporal Forecasting Of High-Rate Dynamic Using Physics-Informed Machine Learning And Hardware-Software Co-Design, Puja Chowdhury

Theses and Dissertations

Due to aging, fatigue, corrosion, and even natural disasters; the health of the structure is prone to degradation throughout its service life. The explosively-fast growing efforts on Structural health monitoring (SHM) always try to exploit different aspects of the automation of damage detection, localization, and prognosis tasks. One of the main challenges is the hardware and software co-design to implement the model in real-life situations. On the other hand, the fast-advancing artificial intelligence draws the researchers' attention to adopt different data-driven approaches in this field. This brings other challenges like domain-specific model adaptation, data bias, data scarcity, model validation by …

Improving Collaborative Lesson Planning By Implementing Design Thinking In A Professional Learning Community, Kelli Jo Bellant

Theses and Dissertations

This research analyzes the effects of incorporating design thinking processes in implementing Professional Learning Communities (PLCs) towards collective lesson planning practices among elementary teachers. This study occurred at Forest Creek Elementary School (FCES), indicating a need to improve collaborative lesson planning. The study sought to determine how using a design thinking protocol in a PLC impacted teachers' views about collaborative lesson planning and whether participating in a PLC to co-create lesson plans impacted teachers' views of efficacy. The framework of the study was based on the social constructivism perspective and the design thinking model. This action research was conducted with …

A Low Density Tracker For The Dune Nd Complex., Nibir Talukdar

Theses and Dissertations

The Deep Underground Neutrino Experiment (DUNE) is a next-generation long- baseline neutrino experiment aimed at resolving mass hierarchy and the CP violation puzzle in the neutrino sector. Although neutrinos are the most abundant particles in the universe, their study is challenging due to their extremely low interaction cross sections. DUNE aims to overcome these challenges by sending a beam of muon (anti)neutrinos from Fermilab, located near Chicago, to the Sanford Underground Research Facility (SURF) in South Dakota.

The experiment consists of a near detector (ND) complex at Fermilab, which mea- sures the composition of the unoscillated neutrino beam, and a …

Bioluminesence-Induced Photoredox Catalysis And Its Mechanisms, Dominic Jeffrey Bates

Theses and Dissertations

The bioluminescence-induced photoredox reaction (BIPR) is a novel methodology developed to overcome the limitations of photo-induced chemistry by initiating chemical work using bioluminescent Escherichia coli as a photon source. In industry, photochemistry is superseded by thermochemical reaction processes. Despite its massive potential, there are very few applications in industry for photochemistry. Unlike thermochemistry, reaction scale-ups are not as easy as simple dimensional increases in a reaction vessel due to the nature of light. This deficiency is seemingly overcome through the development of flow technologies; however, the overall yield of such methods remains incomparable with those utilizing thermochemistry. This thesis focuses …

Bridging Disciplinary Boundaries: A Study On The Integration Of Social Studies Within Elementary Ela Education, Jill Knight

Theses and Dissertations

This qualitative action research study investigates the integration of social studies within English Language Arts (ELA) education, highlighting the challenges educators face in balancing curriculum demands amid increasing literacy and math instruction pressures. With over 20 years of experience teaching high school history, the researcher identified a concerning decline in social studies education at the elementary level, a situation worsened by legislative measures such as No Child Left Behind (NCLB) and the Every Student Succeeds Act (ESSA), which prioritize tested subjects. The primary aim of this study was to collaborate with elementary teachers to explore their perceptions and experiences related …

Bayesian Nonparametric Models For Pooled Data, Yizeng Li

Theses and Dissertations

This work examines two applications of pooling: group testing and pooled biomonitoring. Group testing, introduced by Dorfman in the early 1940s, was initially developed to screen for syphilis among U.S. inductees during World War II. Since then, the approach has demonstrated cost-saving benefits in diverse fields, including drug discovery, genetics, and infectious disease testing. While various regression methods—parametric, nonparametric, and semiparametric—have been proposed to analyze group testing data, they fall short in addressing age-related disparities in disease presence if such variations exist. In Chapter 2, we address this gap by expanding varying coefficient regression within a Bayesian framework to accommodate …

Investigating Student Engagement Through The Implementation Of A Performance Task In Secondary Mathematics: A Mixed Methods Action Research Study, Sulema Wright

Theses and Dissertations

Through teaching experiences in the math classroom, students voiced that solving mathematical problems did not benefit them in the real-world. This study discussed the use of a performance task in a high school geometry class as a way to engage students, increase their confidence when solving math problems, and determine the impact they have on engagement compared to supportive assignments. Students' perspectives were used as one measure in determining engagement, alongside, my perspective of using a tally table. Through the use of a performance task that connected to the life experiences, students’ perspectives proved that implementation increased their engagement in …

The State Math Assessment, I-Ready Diagnostic, And The State Accountability Plan: Is This An Assessment System To Support Learning For All Students?, Beverly Quinn

Theses and Dissertations

This study examined the relationship between a state high-stakes summative mathematics assessment and an interim third-party math diagnostic assessment and data literacy among teachers in a Southeastern school district. Despite ongoing federal and state accountability efforts, the gap between policy intentions and student achievement continues to grow. In this quantitative correlational study, the relationship between the Spring 2023 state summative and interim assessment data for fourth and eighth-grade students was examined. Additionally, the Teacher Data Usage Survey (TDUS) responses were analyzed to examine how teachers utilize assessment data in instructional practices. Data were reported as percentages of responses per category …

Autonomous Real-Time Model Updating Within Digital Twin Frameworks For Thermal Systems, Braden Robert Priddy

Theses and Dissertations

As engineering systems increase in scale and complexity in the era of the Fourth Industrial Revolution, data-driven solutions will become essential in enabling the next generation of these systems. One of the trending tools that can aid in this transition is digital twins. As physical systems degrade throughout their life cycles, their behavior also changes. Digital twins use data assimilation to continuously update virtual models to represent the current state of their physical counterparts. A reliable digital twin can be leveraged by a system operator to perform diagnostics, optimize, and tests without ever needing the physical system. However, implementing effective …

Advancement Of The Zinc Ion Battery: Polymer Electrolyte And Electrode Development For Aqueous Zinc-Ion Batteries, Roya Rajabi

Theses and Dissertations

Rechargeable aqueous zinc-ion batteries (ZIBs) have garnered significant attention in recent years as a promising candidate for stationary large-scale energy storage due to their distinct safety features and cost-effectiveness compared to conventional lithium-ion batteries. Despite their great potential, ZIBs are currently facing critical challenges for commercialization, including poor cycle stability at low discharge rates, lower energy density (Wh/kg) and higher self-discharge rate. These issues must be addressed for them to become a viable energy storage solution. The above challenges are fundamentally rooted in the bulk properties of electrolytes and interactions with electrodes, such as; 1) formation of insulating layered double …

Impacts Of Ing4-Deficiency On Hematopoietic Stem And Progenitor Cells & Characterizing The Concerns Of Novice Stem Graduate Teaching Assistant, Georgina Alice Anderson

Theses and Dissertations

The hematopoietic compartment is tasked with the establishment and maintenance of the entire blood program in steady-state and in response to stress. Key to this process are hematopoietic stem cells (HSCs), which possess the unique ability to self-renew and differentiate to replenish blood cells throughout an organism’s lifetime. Recent work has illustrated the vast mechanisms involved in regulating stress-induced hematopoiesis, including cytokine-mediated lineage bias, gene signature changes in aged HSCs associated with chronic inflammation, the impact of clonal hematopoiesis and stress tolerance. Inhibitor of Growth 4 (Ing4) has been identified as a critical regulator of HSC homeostasis. We show that …

Inducing And Interpreting Physical Transformation In Electroacoustic Chamber Music Via Experimental Applications Of Modular Synthesizers, Joseph Samuel Lyons

Theses and Dissertations

One of the most rapidly evolving musical genres of the 21st century is interactive electroacoustic chamber music. This is primarily due to the ongoing developments in creative technology that have increased both the idiom's technical accessibility and its potential for artistic expression. In particular, modern modular synthesizers enable electroacoustic musicians to transform the physical characteristics of sound with an extremely fine level of control. This research project has three major goals. The first goal is to explore the relationship between the many disciplines involved in this genre of music through a review of the scholarship of Aleister Crowley, Edgard Varèse, …

Practicing Strategy And Performance Preparation Of György Ligeti’S Musica Ricercata., Xiyao Wang

Theses and Dissertations

ABSTRACT Hungarian composer György Ligeti (1923–2006) is renowned as one of the most significant composers of the twentieth century. Musicians around the world have admired his innovative musical language. “Through the 1950s and 1960s, he went from composing in the style of his countryman Béla Bartók to working at the cutting edge of the Western European avant-garde.” His folk elements and avant-garde compositional techniques expanded through various genres, including orchestral, chamber, and keyboard compositions. This study's primary purpose is to explore Ligeti's piano work Musica Ricercata and ultimately provide a resource to other musicians that will assist in preparing and …

Multi-Scale Ai-Assisted Gene Expression Decoding, Fengyao Yan

Theses and Dissertations

Genes can be treated as a graph that can be mapped. Tremendous information is coded in genes to ensure a complex functioning organism. Decoding this information is critical to understanding our biology and developing treatments for various diseases including cancer. Deep learning, a new branch of computer science, has gained traction over the past decade. It offers more insight into the data that is processed by the deeplearning models. Our study has shown that deep-learning models can be an effective tool in decoding genetic data such as gene tissue-deconvolution, gene graph mapping and genomic imputation. In tasks such as tissue …

Using Machine Learning And Deep Learning Algorithms To Improve Low Birthweight Prediction, Yang Ren

Theses and Dissertations

Low birthweight (LBW) is a major public health issue resulting in increased neonatal mortality and long-term health complications. Traditional LBW analysis methods, focusing on incidence rates and risk factors through statistical models, often struggle with complex unseen data, and thus, their effectiveness is limited in early prevention of LBW, requiring more advanced LBW prediction models. Therefore, this dissertation delves into this important research area by proposing and examining novel machine learning (ML) and deep learning (DL) algorithms, aiming to predict LBW more accurately during the early stage of pregnancy. This dissertation consists of three studies, strategically designed to build upon …

Does Digital Deepen Discourse? A Case Study Of How Middle School Teachers Use Eureka Math2 To Promote High-Quality Mathematics Classroom Discussions, Michael Wilson Street

Theses and Dissertations

The purpose of this research was to evaluate how teachers use Eureka Math² (EM²) curriculum and technology tools to promote high-quality mathematics classroom discussions. Research has indicated these discussions improve students’ mathematical knowledge, reasoning, and conceptual understanding. However, orchestrating these discussions is challenging, requiring adaptive thinking, deep content knowledge, and an unfamiliar facilitation role; implementing technology presents an additional challenge. This study was guided by three research questions. First, how and to what extent do teachers use EM² curriculum and technology tools to promote high-quality mathematics classroom discussions? Second, what are the perceptions of teachers about …

Engaging Students In The Scientific Process: An Examination Of Active Learning Strategies In Introductory Geoscience Labs, Meryssa Piper

Theses and Dissertations

High-quality instruction of introductory geoscience courses entices students to major in geoscience fields and ensures undergraduate students have opportunities to learn and apply scientific information and practices. Prior studies indicate that active learning strategies in higher education settings can increase student knowledge and interest. This dissertation explores the integration of two active learning strategies in introductory geoscience laboratory courses: inquiry and gamification The first study housed in Chapter 2 investigates the level of inquiry used in introductory geoscience lab activities across the United States. Through a comprehensive analysis of these activities, this chapter assesses: (1) the degree to which instructor …