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An Adaptive Hybrid Deep Learning Architecture For Providing Guaranteed Qos In 5g Cellular Networks, Rajilal Mv Ms
An Adaptive Hybrid Deep Learning Architecture For Providing Guaranteed Qos In 5g Cellular Networks, Rajilal Mv Ms
Theses and Dissertations
Wireless network systems must have effective resource allocation, particularly in the context of 5G networks when flexibility is needed to meet a range of network requirements. Resource allocation is essential in cellular network contexts to guarantee equitable access to customers, partners, and cellular service users. Since resource distribution determines network performance, it offers significant advantages when executed well. One of the biggest issues with 5G technology is resource allocation, particularly when it comes to the Quality of Service (QoS) for various applications. Resources in wireless networks include items like channels, power, and spectrum; these must all be apportioned according to …
Analysis Of Isotopic Effects On Hydrogen Oxidation, Jacob Carter Wilde
Analysis Of Isotopic Effects On Hydrogen Oxidation, Jacob Carter Wilde
Theses and Dissertations
Tritium generation presents a significant hazard during operation of nuclear reactors and necessitates safety precautions in the case of a combustion incident. Accurate kinetic models should inform these safety precautions, however, reliable tritium data do not exist to generate such models. This work focuses on laminar flame speed, which is an important component of kinetic models. Current estimates based on established kinetic theories and experimental measurements of the other isotopes of hydrogen predict tritium to have a flame speed approximately 70% that of standard protium over a broad range of stoichiometries at one atmosphere in air. These estimates are based …
Geology Of Sinai Tholus, Thaumasia Plateau, Mars, Haley Mosher
Geology Of Sinai Tholus, Thaumasia Plateau, Mars, Haley Mosher
Theses and Dissertations
A new geologic map of the Sinai Tholus region on the Thaumasia plateau, Mars reveals the structural, magmatic, and stratigraphic complexity that can be found in the Tharsis region on Mars, and may help answer key questions about the origin of the subvolcanic basement, evolution of the regional stress field, development of Valles Marineris, and magmatic history of the region. Sinai Tholus is a topographic high in a relatively flat, lava flow covered part of Thaumasia Plateau, just south of the central part of Valles Marineris. Here, five stratigraphic units and one generalized impact unit have been mapped at a …
Analysis Of Networks Using Hypergraph Centrality Measures And Other Properties, Sathyanarayanan G
Analysis Of Networks Using Hypergraph Centrality Measures And Other Properties, Sathyanarayanan G
Theses and Dissertations
Network analysis explores the connections between nodes and evaluates their characteristics across diverse fields such as biological, chemical, social networks and so on. Identifying key nodes within a network is crucial for grasping how information spreads, which has significant applications across multiple fields. This includes studying disease transmission, managing rumours, understanding social leadership, enhancing viral marketing strategies, and monitoring public opinion. Influential nodes play a pivotal role in effectively distributing information throughout the network. The centrality measures are paramount in network analysis that uses various metrics to evaluate the importance of the node. The centrality predicts the characteristics and significance …
A Comparative Analysis Of Teacher Innovative Practices And Principal Leadership Strategies In Microsoft Showcase Schools Implementing The Microsoft School Transformation Framework For Up To Two Years And More Than Two Years, Ibrahim Soykan
Theses and Dissertations
As global challenges such as climate change, shifting job markets, and technological advances intensify, educational systems must adapt to equip students with essential 21st-century skills. While countries like Singapore, Ireland, Australia, and Finland have created flexible education systems to meet these demands, the United States faces a fragmented and decentralized system that struggles to keep up with global changes (Wehling, 2007). This study investigates how the Microsoft School Transformation Framework (MSTF) is addressing these issues within Microsoft Showcase Schools (MSS). The purpose of this research was to evaluate how principals and teachers perceive the implementation of the MSTF and to …
Enhancing The Efficacy Of Task-Based Grammar Teaching: A Study Through Error Analysis Of Esl Learners At The Tertiary Level, Dhivya P
Theses and Dissertations
This study aims to determine the effectiveness of modern methods of teaching grammar and to test the student's learning through activities and games. The objective is to identify the students' grammatical errors regarding prepositions, articles, concord, tenses, and redundancy by practical methods and task-based activities. The study employed Corder’s Error Analysis method to understand the students' language learning process, indicate errors, and identify opportunities to develop learners' language awareness.
A pilot study was conducted involving both pre test and posttest for the students. The primary research involved pre test, posttest and retention tests for the students to evaluate the error …
Hot Wire Chemical Vapor Deposition Of Tungsten Oxides For Photocatalytic Hydrogen Production From Water, Marvin Bonney
Hot Wire Chemical Vapor Deposition Of Tungsten Oxides For Photocatalytic Hydrogen Production From Water, Marvin Bonney
Theses and Dissertations
Anthropogenic climate change has generated an ever-increasing global ecological, economic, and political disaster for the world. In order to contain the damage and bring atmospheric carbon under control, human use of non-renewable hydrocarbons as the primary source of fuels for transportation and electrical generation needs to be phased out at the earliest possible date. Renewable, clean energy generation is currently technologically feasible and could provide the means for decarbonization of the global energy economy, but has to overcome challenges related to the intermittency of production. Hydrogen gas is a clean burning, renewable, and highly flexible method of storing such energy …
Evaluating Audio-Compression Techniques, Thien Tuong Duong
Evaluating Audio-Compression Techniques, Thien Tuong Duong
Theses and Dissertations
Perceptual quality of audio is the aural accuracy and fidelity perceived by the listener. It is how humans respond to the accuracy, intelligibility, or fidelity of aural media. High-fidelity audio represents high accuracy and minimal distortion and is the standard against which compression algorithms are assessed. We argue that maintaining high-fidelity audio is not just a technical requirement but is also about respecting the artistry of music production. The primary goal of this thesis is to compare the performance of popular audio codecs including file size and conversion speed of each codec when encoding the same file. A secondary goal …
Mild Hydrothermal Crystal Growth Strategies For Complex Inorganic Metal Fluorides, Navindra Keerthisinghe
Mild Hydrothermal Crystal Growth Strategies For Complex Inorganic Metal Fluorides, Navindra Keerthisinghe
Theses and Dissertations
Inorganic metal fluorides have been investigated for their interesting magnetic and optical properties, their electrochemical behavior, and their ionic conductivity. Fluoride materials can accommodate metals in very low oxidation states, which can be advantageous for designing new magnetic materials. Specifically, mixed metal fluorides incorporating transition metal cations often exhibit interesting magnetic behavior, such as frustrated magnetism. However, many challenges are encountered during the synthesis of such fluoride materials, including the inability to perform reactions under ambient conditions and the involvement of toxic gases for fluorination during solid-state reactions. Therefore, solution growth techniques such as mild hydrothermal synthesis are currently utilized …
Predictive Filtering-Based Image Inpainting, Xiaoguang Li
Predictive Filtering-Based Image Inpainting, Xiaoguang Li
Theses and Dissertations
Image inpainting is an important challenge in the computer vision field. The primary goal of image inpainting is to fill in the missing parts of an image. This technique has many real-life uses including fixing old photographs and restoring ancient artworks, e.g., the degraded Dunhuang frescoes. Moreover, image inpainting is also helpful in image editing. It has the capability to eliminate unwanted objects from images while maintaining a natural and realistic appearance, e.g., removing watermarks and subtitles. Disregarding the fact that image inpainting expects the restored result to be identical to the original clean one, existing deep generative inpainting methods …
Synergetic And Orthogonal Switching In Dual Photochromic Metal-Organic Frameworks, Gina Rene Wilson
Synergetic And Orthogonal Switching In Dual Photochromic Metal-Organic Frameworks, Gina Rene Wilson
Theses and Dissertations
Cooperative behavior and orthogonal responses of two classes of coordinatively integrated photochromic molecules towards distinct external stimuli were demonstrated on the first example of a photo-thermo-responsive hierarchical platform. Synergetic and orthogonal responses to temperature and excitation wavelength are achieved by confining the stimuli-responsive moieties within a metal-organic framework (MOF), leading to the preparation of a novel photo-thermo-responsive spiropyran-diarylethene based material. Synergistic behavior of two photoswitches enables the study of stimuli-responsive resonance energy transfer as well as control of the photoinduced charge transfer processes, milestones required to advance optoelectronics development. Spectroscopic studies in combination with theoretical modeling revealed a nonlinear effect …
Approximate Computing And In-Memory Computing: The Best Of The Two Worlds!, Mohammed Essa Fawzy Essa
Approximate Computing And In-Memory Computing: The Best Of The Two Worlds!, Mohammed Essa Fawzy Essa
Theses and Dissertations
Machine learning (ML) has become ubiquitous, integrating into numerous real-life applications. However, meeting the computational demands of ML systems is challenging, as existing computing platforms are constrained by memory bandwidth, and technology scaling no longer yields substantial improvements in system performance. This work introduces novel hardware architectures to accelerate ML workloads, addressing both compute and memory challenges. In the compute domain, we explore various approximate computing techniques to assess their efficacy in accelerating ML computations. Subsequently, we propose the Approximate Tensor Processing Unit (APTPU), a hardware accelerator that utilizes approximate processing elements to replace direct quantization of inputs and weights …
Representation Dimensions Of Algebraic Tori And Symmetric Ranks Of G-Lattices, Jason Bailey Heath
Representation Dimensions Of Algebraic Tori And Symmetric Ranks Of G-Lattices, Jason Bailey Heath
Theses and Dissertations
Algebraic tori over a field k are special examples of affine group schemes over k, such as the multiplicative group of the field or the unit circle. Any algebraic torus can be embedded into the group of invertible n x n matrices with entries in k for some n, and the smallest such n is called the representation dimension of that torus. Representation dimensions of algebraic tori can be studied via symmetric ranks of G-lattices. A G-lattice L is a group isomorphic to the additive group Zn for some n, along with an action …
Macro–Micro-Coupled Simulations Of Bead–Spring Breaking-Reforming Networks, Andrei Medved
Macro–Micro-Coupled Simulations Of Bead–Spring Breaking-Reforming Networks, Andrei Medved
Theses and Dissertations
In this work we investigate the dynamic behavior of bead-spring polymer solutions in viscoelastic fluids, which are essential in industries like materials science, biotechnology, and pharmaceuticals. The study leverages GPU-accelerated simulations and detailed modeling of polymer chain dynamics at the mesoscale, which enables efficient analysis of intricate fluid behaviors and the microscale dynamics of polymer chains. Additionally, the research examines the breaking-reforming dynamics of polymer chains, crucial for understanding phenomena such as shear thinning and thickening. The findings have broad applications, from improving inkjet printing and 3D printing technologies to developing new drug delivery systems and biocompatible materials. This work …
Bayesian Methods In Analyzing The Diagnostic Accuracy\\ For Ordinal Ratings, Yun Yang
Bayesian Methods In Analyzing The Diagnostic Accuracy\\ For Ordinal Ratings, Yun Yang
Theses and Dissertations
This dissertation focuses on ordinal classification ratings, which are commonly used in medical practice to assess the severity of a disease or condition. For example, a group of radiologists rate a set of mammograms and assign BI-RADS (Breast Imaging Reporting Data System) score for each mammogram. A Bayesian probit hierarchical model is first proposed to analyze this type of data. It links the ordinal ratings with both rater diagnostic skills and patient latent disease severity. Each rater diagnostic skills are quantified with two parameters, diagnostic bias and diagnostic magnifier. Patient latent disease severity is assumed to follow a different normal …
Object Classification, Detection And Tracking In Challenging Underwater Environment, Md Modasshir
Object Classification, Detection And Tracking In Challenging Underwater Environment, Md Modasshir
Theses and Dissertations
The main contributions of this thesis is the applicability and architectural designs of deep learning algorithms in underwater imagery. In recent times, deep learning techniques for object classification and detection have achieved exceptional levels of accuracy that surpass human capabilities. However, the effectiveness of these techniques in underwater environments has not been thoroughly researched. This thesis delves into various research areas related to underwater environments, such as object classification, detection, semantic segmentation, pose regression, and semi-supervised retraining of detection models.
The first part of the thesis studies image classification and detection. Image classification is a fundamental process that involves assigning …
Electron Rich Cobaltocenium Derivatives As Tunable Mechanophores For Mechanochemistry, Luis Daniel Ramos
Electron Rich Cobaltocenium Derivatives As Tunable Mechanophores For Mechanochemistry, Luis Daniel Ramos
Theses and Dissertations
In this dissertation, metallocene-containing polymers are investigated and probed for tunability in mechanochemistry. These metallocene moieties are experimentally and computationally characterized.
In chapter 1, relevant background and recent developments of metallocene-containing polymers are discussed. Additionally, the field of mechanochemistry is briefly introduced including applications and future directions within the field.
In chapter 2, design and synthesis of these metallocene-containing polyelectrolytes via ring opening metathesis polymerization (ROMP) are outlined. These polymers then undergo mechanophore activation via ultrasonication and relevant analysis and characterization of polymers both before and after ultrasonication are detailed. These polymers are comprised of differing electron donating substituents on …
Deconvolving Provenance Signatures Of Pliocene-Pleistocene Coastal Loess Deposits Along The Atlantic Margin Of Argentina, Will Robert Quanrud
Deconvolving Provenance Signatures Of Pliocene-Pleistocene Coastal Loess Deposits Along The Atlantic Margin Of Argentina, Will Robert Quanrud
Theses and Dissertations
Dust derived from southern South America provides critical nutrients for autotropic marine biota in the South Atlantic Ocean, such that fluxes of wind-blown sediment may ultimately affect the concentration of atmospheric CO2. Expansive sand, silt, and loess deposits are exposed in Central Argentina, recording millions of years of eolian processes; however, the provenance and transport pathways of this dust remains unclear. Coastal loess deposits ranging in age from Pliocene to upper Pleistocene are present along the Atlantic margin of Argentina and provide information on sediment transport pathways for the last 4 million years. Nine samples of loess were collected and …
Plotting For Change: Utilizing Computer-Based Scaffolding Through Desmos To Influence High School Students’ Performance And Attitudes Toward Mathematics, Jennifer Underwood Farmer
Plotting For Change: Utilizing Computer-Based Scaffolding Through Desmos To Influence High School Students’ Performance And Attitudes Toward Mathematics, Jennifer Underwood Farmer
Theses and Dissertations
The purpose of this action research was to understand the impact of computer-based instructional scaffolding in Desmos on Math 3 high school students’ performance and attitudes toward mathematics. The demand for societal mathematics literacy has increased significantly over the last decade and continues to grow. To achieve this literacy, students must reason, augment, communicate, model, and problem-solve with technology applications; development of these skills requires engagement and support through technology-rich learning opportunities.
Currently, Math 3 students are not performing at the proficient level on state exams and are displaying negative attitudes towards mathematics. Student attitudes and performance in technology enhanced …
Generalizations Of The Graham-Pollak Tree Theorem, Gabrielle Anne Tauscheck
Generalizations Of The Graham-Pollak Tree Theorem, Gabrielle Anne Tauscheck
Theses and Dissertations
Graham and Pollak showed in 1971 that the determinant of a tree’s distance matrix depends only on its number of vertices, and, in particular, it is always nonzero. This dissertation will generalize their result via two different directions: Steiner distance k-matrices and distance critical graphs. The Steiner distance of a collection of k vertices in a graph is the fewest number of edges in any connected subgraph containing those vertices; for k = 2, this reduces to the ordinary definition of graphical distance. Here, we show that the hyperdeterminant of the Steiner distance k-matrix is always zero if …
Metal-Organic Frameworks For Global Environmental Challenges, Kyoungchul Park
Metal-Organic Frameworks For Global Environmental Challenges, Kyoungchul Park
Theses and Dissertations
Over the past few decades, there has been a demand for improving nuclear waste administration due to a significant increase in the utilization of nuclear energy. The driving force for proper nuclear waste disposal is evident when considering past nuclear catastrophes—such as Chernobyl and Fukushima—where radionuclide contamination of large bodies of water sparked public concern. In order to manage such radioactive species, the emerging areas of radionuclide sequestration, storage, separation, and sensing must be addressed in the upcoming years. This dissertation presents a potential candidate for addressing these challenges, called metal-organic frameworks (MOFs). Due to their porosity, high surface area, …
Modeling, Analysis, Approximation, And Application Of Viscoelastic Structures And Anomalous Transport, Yiqun Li
Theses and Dissertations
(Variable-order) fractional partial differential equations are emerging as a competitive means to integer-order PDEs in characterizing the memory and hereditary properties of physical processes, e.g., anomalously diffusive transport, viscoelastic mechanics and financial mathematics, and thus have attracted widespread attention. In particular, optimal control problems governed by fractional partial differential equations are attracting increasing attentions since they are shown to provide competitive descriptions of challenging physical phenomena. Nevertheless, variable-order fractional models exhibit salient features compared with their constant-order analogues and introduce mathematical difficulties that are not typical encountered in the context of integer-order and constant-order fractional partial differential equations.
This dissertation …
Advances In Chalcogenide Crystal Growth, Anna Berseneva
Advances In Chalcogenide Crystal Growth, Anna Berseneva
Theses and Dissertations
Chalcogenides are the cornerstone of the semiconductor and thermoelectric industries and are up-and-coming materials for superconductors, catalysis, and battery applications. Challenges in the synthesis of those materials emerge from the chalcogen’s volatility and the tendencies of chalcogenide to react with even trace quantities of oxygen. Nonetheless, many techniques have been applied to the growth of chalcogenide single crystals, which are convenient for structure determinations and intrinsic property measurements. This dissertation will detail synthetic strategies applied to the crystal growth of novel chalcogenide materials via molten flux preparation (Chapters 2, 4, and 5), hydrothermal synthesis (Chapter 1 and 3), and single-crystal-to-single …
Bass-Triadic Cadence Formulae In Melchior Neusidler’S Original Compositions From Il Primo (-Secondo) Intabolatura Di Liuto, Christopher Mcdonald
Bass-Triadic Cadence Formulae In Melchior Neusidler’S Original Compositions From Il Primo (-Secondo) Intabolatura Di Liuto, Christopher Mcdonald
Theses and Dissertations
There was a paradigmatic shift in the discourse surrounding lute music between the early sixteenth and seventeenth centuries. The lute treatises written by early sixteenth-century German lutenists, such as Hans Judenkünig, Hanse Gerle, and Hans Newsidler, focused on technical directives that support a linear conception of music. However, lutenists active in the late sixteenth and early seventeenth century, such as Matthaeus Waissel and Jean-Baptiste Besard, describe technical accommodations for vertically conceived structures. Contemporaneously, at the turn of the seventeenth century, the discourse on bass primacy and triadic structures developed from an undercurrent, cast in the shadow of counterpoint treatises, to …
Developing A Hierarchical Digital Twin Framework For Dc Microgrid Implementation, Khari Sado
Developing A Hierarchical Digital Twin Framework For Dc Microgrid Implementation, Khari Sado
Theses and Dissertations
This research introduces a hierarchical digital twin framework for DC microgrids implementation, particularly those utilized in naval power systems. Unlike traditional digital twins, this hierarchical digital twin structure offers a layered perspective. Hierarchical digital twin design promotes computational efficiency by distributing computational burden across a layered configuration that integrates lower-level digital twin blocks with a system digital twin. The layered approach breaks down complex systems into smaller manageable units that can be examined individually and collectively. Central to this strategy is the adoption of a multi-domain and multi-functional technique through the integration of the digital image framework. This allows the …
Examining The Overall Impact Of Computer-Based Mathematics Instruction On Math Achievement In An Alternative High School, Jacqueline Levon Gilyard
Examining The Overall Impact Of Computer-Based Mathematics Instruction On Math Achievement In An Alternative High School, Jacqueline Levon Gilyard
Theses and Dissertations
Over the past decade, the United States has witnessed a remarkable surge in computer-based instruction, revolutionizing the way students learn and educators teach. This action research study aimed to investigate the overall impact of computer-based instruction on mathematics achievement in the alternative high school setting. The research design incorporated both quantitative and qualitative methods to gather comprehensive data for twenty high school students enrolled in an alternative high school setting. The quantitative data analysis involved examining pre-and post-test scores, graduation data, and final course grades to assess the effect of computer-based instruction on mathematics achievement. All of the students showed …
Controlling Properties Of Hybrid Materials: Leaching Kinetics And Electronic Structure, Anna Berseneva
Controlling Properties Of Hybrid Materials: Leaching Kinetics And Electronic Structure, Anna Berseneva
Theses and Dissertations
Hybrid materials are a unique class of materials that merge the properties of organic and inorganic building blocks. These materials are at the frontier of material science due to their wide modularity and applicability in numerous fields, ranging from catalysis to nuclear waste treatment. Unprecedented tunability of physical properties via changes in organic, inorganic moieties and their connectivity, enables for hybrid materials to address current challenges in the materials’ applications improving energy landscape.
The presented work consists of six chapters where the synthesis and design of new hybrid materials, fundamental understanding of electronic behavior and its modulation in organic-inorganic materials, …
B-Spline Impulse Response Functions For Transient Ssi Analysis Of Pile Foundations, Kingsley C. Ozegbe
B-Spline Impulse Response Functions For Transient Ssi Analysis Of Pile Foundations, Kingsley C. Ozegbe
Theses and Dissertations
The advent and consequential advancements in geotechnical earthquake engineering has made soil-structural analysis (SSI) an important component in the analysis and design of earthquake resistant structures. The filtering effects of pile foundations which reduces the seismic demand on pile-supported superstructure when they are subjected to seismic waves have been investigated and confirmed by several researchers in the last 40 years. To this end, several methods of analyzing the effects of SSI have been developed over the years. From the simplified Winkler model to the more robust finite element method (FEM) and boundary element method (BEM), researchers and structural engineers alike …
Mathematical Modeling And Reconstruction Of Porous Media To Understand Transport Phenomena For Electrochemical System Applications, Mitchell Sepe
Mathematical Modeling And Reconstruction Of Porous Media To Understand Transport Phenomena For Electrochemical System Applications, Mitchell Sepe
Theses and Dissertations
Alternative power generation has grown significantly in the space of energy production over the last ten years. Development of new technologies to produce energy is vital to the growing need for electricity. Batteries, solar panels, wind turbines, and countless other renewable energy options have been deemed necessary to create an overall greener future. Fuels cells when combined with electrolyzer show a promising system for stationary power generation. Both technologies are comprised of multiple parts in contact that must work together simultaneously to create an ideal environment for catalytic reactions to take place. A crucial component to a properly functioning cell …
The Effects Of Writing Groups On Student Self-Efficacy, Katie Francom
The Effects Of Writing Groups On Student Self-Efficacy, Katie Francom
Theses and Dissertations
High school students often lack confidence in their writing. One way to change this is by increasing their self-efficacy regarding writing. Previous studies suggest that writing groups have effectively improved students' self-efficacy in higher education. However, more must be done to see if this same intervention would succeed in high school. This study aimed to test this hypothesis and answer the question: How does participating in writing groups shape adolescents' writing self-efficacy? To do this, 57 11th-grade students participated in writing groups in an Honors English 11 class over a semester. For the study, they were surveyed about their writerly …