Digital Commons Network^™

Evaluating The Performance Of Transformer Architecture Over Attention Architecture On Image Captioning, Deepti Balasubramaniam

Dissertations

Over the last few decades computer vision and Natural Language processing has shown tremendous improvement in different tasks such as image captioning, video captioning, machine translation etc using deep learning models. However, there were not much researches related to image captioning based on transformers and how it outperforms other models that were implemented for image captioning. In this study will be designing a simple encoder-decoder model, attention model and transformer model for image captioning using Flickr8K dataset where will be discussing about the hyperparameters of the model, type of pre-trained model used and how long the model has been trained. …

Finetuning Bert And Xlnet For Sentiment Analysis Of Stock Market Tweets Using Mixout And Dropout Regularization, Shubham Jangir

Dissertations

Sentiment analysis is also known as Opinion mining or emotional mining which aims to identify the way in which sentiments are expressed in text and written data. Sentiment analysis combines different study areas such as Natural Language Processing (NLP), Data Mining, and Text Mining, and is quickly becoming a key concern for businesses and organizations, especially as online commerce data is being used for analysis. Twitter is also becoming a popular microblogging and social networking platform today for information among people as they contribute their opinions, thoughts, and attitudes on social media platforms over the years. Because of the large …

Behavioral Motivation Of High School Leadership Organizations, Jake Kloeppel

Dissertations

This quantitative research study examined the perceptions of ninth through 12th grade leadership students and facilitators, regarding their motivation to project-based learning scenarios. Electronic surveys requesting approximately 180 participants were sent to five school districts from three counties in Central Missouri. A total of 203 participants chose to respond to the survey, Motivation Questionnaire (MQ; Phillips & Gully, 2013), consisting of 15 Likert-scale items and one optional, open-ended question, which was designed using McClelland’s Human Motivation Theory (1987). The results of this study showed there were only minimal differences in the motivation to projectbased learning scenarios between members of multiple …

William Of Auxerre And Thomas Aquinas On Simultaneous Faith And Knowledge, Jacob Joseph Andrews

Dissertations

In this dissertation I will consider how two 13th century theologians, William of Auxerre (1156-1231) and St. Thomas Aquinas (1224-1274), explored the question, "Whether the same thing can be known (demonstratively) and (believed by faith)" (utrum idem sit scitum et creditum). Both denied that this was possible, but they differed in the relative epistemic priority of faith and knowledge. Aquinas thought that demonstrative knowledge has epistemic priority over faith: for example, if someone knows a proof for God's existence, then they know that God exists, and it is impossible for them to have faith that God exists. Aquinas is a …

Longitudinal Associations Among Individual Factors, Parenting Behaviors, And Medical Responsibility In Youth With Spina Bifida: Mediation, Moderation, And Growth Analyses, Alexa R. Stern

Dissertations

The objective of this research was to examine how youth individual factors (neuropsychological functioning and depressive symptoms) and maternal and paternal acceptance, behavioral control, and psychological control were associated with child medical responsibility among youth with spina bifida (SB). These longitudinal studies examined multimethod, multi-informant data from families of youth with SB, their parents, and teachers. The first study used bootstrapping methods to examine two competing, mediational pathways through which depressive symptoms, executive functioning, and attention were associated with medical responsibility over time. The second study used moderation analyses to examine how parenting behaviors moderated the relationship between these cognitive …

Exploring School Psychologists' Perceived Preparedness, Self-Efficacy, And Motivations For Practice In Urban Schools, Kiley Callahan

Dissertations

The fundamental goal of school psychological service delivery is to enhance the learning and mental health of all students, regardless of their school setting. However, there is evidence to suggest that school psychologists' professional needs and experiences may differ based on the context in which they work. The urban school context, in particular, is associated with several challenges that may impact school psychology practice, including the impact of systemic barriers, systematic marginalization of children and families, and limited resources. To better prepare school psychologists to support urban learners, efforts to understand their training needs must be prioritized. Still, the views …

Improving A Network Intrusion Detection System’S Efficiency Using Model-Based Data Augmentation, Vinicius Waterkemper Lodetti

Dissertations

A network intrusion detection system (NIDS) is one important element to mitigate cybersecurity risks, the NIDS allow for detecting anomalies in a network which may be a cyberattack to a corporate network environment. A NIDS can be seen as a classification problem where the ultimate goal is to distinguish between malicious traffic among a majority of benign traffic. Researches on NIDS are often performed using outdated datasets that don’t represent the actual cyberspace. Datasets such as the CICIDS2018 address this gap by being generated from attacks and an infrastructure that reflects an up-to-date scenario.

A problem may arise when machine …

An Evaluation On The Performance Of Code Generated With Webassembly Compilers, Raymond Phelan

Dissertations

WebAssembly is a new technology that is revolutionizing the web. Essentially it is a low-level binary instruction set that can be run on browsers, servers or stand-alone environments. Many programming languages either currently have, or are working on, compilers that will compile the language into WebAssembly. This means that applications written in languages like C++ or Rust can now be run on the web, directly in a browser or other environment. However, as we will highlight in this research, the quality of code generated by the different WebAssembly compilers varies and causes performance issues. This research paper aims to evaluate …

A Hybrid Neural Network For Stock Price Direction Forecasting, Daniel Devine

Dissertations

The volatility of stock markets makes them notoriously difficult to predict and is the reason that many investors sell out at the wrong time. Contrary to the efficient market hypothesis (EMH) and the random walk theory, contribution to the study of machine learning models for stock price forecasting has shown evidence of stock markets predictability with varying degrees of success. Contemporary approaches have sought to use a hybrid of convolutional neural network (CNN) for its feature extraction capabilities and long short-term memory (LSTM) neural network for its time series prediction. This comparative study aims to determine the predictability of stock …

Identifying Significant Features For Player Evaluation In Nfl Comparing Anns And Traditional Models, Ronan Walsh

Dissertations

The evaluation of player performance in sports is popular and important in modern sports, enabling teams to use real data in the construction of their rosters. This dissertation proposes to apply machine learning algorithms to predicting the player evaluations from a leading NFL analytics company who use a combination of statistics and expert evaluation. In addition, it will investigate what features are significant in the evaluation of a position. Data for the dissertation is obtained from multiple online sources - Pro Football Reference and Pro Football Focus (the the NFL analytics company). These data sets are combined and analysed before …

Identifying Roles Of Software Developers From Their Answers On Stack Overflow, Dean Power

Dissertations

Stack Overflow is the world’s largest community of software developers. Users ask and answer questions on various tagged topics of software development. The set of questions a site user answers is representative of their knowledge base, or “wheelhouse”. It is proposed that clustering users by their wheelhouse yields communities of similar software developers by skill-set. These communities represent the different roles within software development and could be used as the basis to define roles at any point in time in an ever-evolving landscape of software development. A network graph of site users, linked if they answered questions on the same …

Can Generative Adversarial Networks Help Us Fight Financial Fraud?, Sean Mciver

Dissertations

Transactional fraud datasets exhibit extreme class imbalance. Learners cannot make accurate generalizations without sufficient data. Researchers can account for imbalance at the data level, algorithmic level or both. This paper focuses on techniques at the data level. We evaluate the evidence of the optimal technique and potential enhancements. Global fraud losses totalled more than 80 % of the UK’s GDP in 2019. The improvement of preprocessing is inherently valuable in fighting these losses. Synthetic minority oversampling technique (SMOTE) and extensions of SMOTE are currently the most common preprocessing strategies. SMOTE oversamples the minority classes by randomly generating a point between …

Performance Comparison Between A Distributed Particle Swarm Algorithm And A Centralised Algorithm, Ciarán O’Loughlin

Dissertations

Particle Swarm optimisation (PSO) is a particular form of swarm intelligence, which itself is an innovative intelligent paradigm for solving optimization problems. PSO is generally used to find a global optimum in a single optimisation function. This typically occurs on one node(machine) but there has been a significant body of research into creating distributed implementations of the PSO algorithm. Such research has often focused on the creation and performance of the distributed implementation in an isolated manner or compared to different distributed algorithms.

This research piece aims to bridge a gap in the existing literature, by testing a distributed implementation …

Secure Data Integrity In Wireless Ad Hoc Networks, Elbasher O Esalmi Elmahdi

Dissertations

Wireless ad hoc networks (WANETs) have become increasingly popular in our everyday business and personal lives. As long as nodes in the network belong to the same organization and share the same goal, it can generally be expected that all nodes can be trusted. So, without any security measures in place, any node is capable of compromising the integrity of the data it forwards. It is necessary to save or secure data transmission in WANETs to achieve effective communication because most of the routing protocols proposed for WANETs assume a trusted and reliable environment and they do not consider the …

Energetic Neutral Atom Flux From The Inner Heliosheath And Its Connection To Termination Shock Properties, Bishwas L. Shrestha

Dissertations

The energetic neutral atom (ENA) fluxes observed by the Interstellar Boundary Explorer (IBEX) spacecraft show power-law-like spectra in the energy range ~0.5 to 6 keV. However, the temperature of the thermal core solar wind (SW) protons in the inner heliosheath (IHS) measured by Voyager 2 spacecraft is too low to create keV ENAs with Earth-directed trajectories. On the other hand, the temperature of the pickup ions (PUIs) that are reflected and energized in the upstream motional electric field of the heliospheric termination shock (HTS) is too high to create a significant number of ENAs in the IBEX-Hi energy range. Instead, …

Event-Driven Servers Using Asynchronous, Non-Blocking Network I/O: Performance Evaluation Of Kqueue And Epoll, Lorcan Leonard

Dissertations

This research project evaluates the performance of kqueue and epoll in the context of event-driven servers. The evaluation is done through benchmarking and tracing which are used to measure throughput and execution time respectively. The experiment is repeated for both a virtualised and native server environment. The results from the experiment are statistically analysed and compared. These results show significant differences between kqueue and epoll, and a profound impact of virtualisation as a variable.

Political Justificationism: A More Realistic Epistemology Of Political Disagreement, Randolph Jay Carlson

Dissertations

Disagreement is probably the most salient feature of our contemporary political environment. This project aims to examine political disagreements from the perspective of the recent discussions of the epistemology of disagreement more generally. Some, known as conciliationists, argue that when confronted with a disagreement with someone who is equally knowledgeable and well-informed as you are on the issue (known as an "epistemic peer"), one should become substantially less confident in that antecedently held belief. While some have tried to straightforwardly apply the conciliationist approach to political disagreements, I argue that such an approach makes us vulnerable to significant cognitive biases …

Improved Isosurfacing Through Compression And Sparse Grid Orientation Estimation, Brian Wood

Dissertations

This dissertation focuses on increasing isosurfacing speed through novel compression approaches. The compression occurs on a cell-by-cell basis during isosurface extraction, as opposed to compressing the mesh in a post-processing step. The compression is applied to isosurfacing on cluster computers, and it postpones scalability plateauing of prior parallel isosurfacers by reducing communication on cluster computers (versus the prior state of the art). A novel view-dependent isosurface mesh decompressor and improved isosurface orientation estimator for sparse datasets via quadratic splines fit to tetrahedral decompositions of the datasets are also described. Experimental results for all efforts, which quantify their effectiveness, are also …

Network Based Pressure Drop Modeling Of Heterogeneous Porous Hybrid Rocket Motor Grains, Joseph Robert Kennedy Buckley

Dissertations

Analytic Transport Network Theory (ATN), a heuristic model developed for electrochemical systems, is adapted to predict the gas pressure drop across heterogeneous porous hybrid rocket motor grains. Experimental pressure drop estimations from previous studies of these grains disagree with existing empirical correlations that assume uniform morphology. An adapted ATN model could significantly improve the gas pressure drop prediction with relatively low resource requirements. To test the applicability of ATN, porous hybrid motor grain samples with length 40 mm, diameter 20 mm, and nominal pore size (NPS) of 200 and 100 microns, based on manufacturer specifications, were studied using microstructural analysis …

Verification And Validation Methods For Extended Petri Nets Modeling Cyberattacks, Walter Alan Cantrell

Dissertations

Verification and validation are crucial to establishing the credibility of the results of a modeling and simulation project. Conclusions drawn from an unverified and unvalidated model are at best unconvincing, and at worst have the potential to be dangerous if decisions are made based on outputs from an incorrect model. In general, the most effective methods of verification and validation involve comparisons of simulation results with data from observations of the system or event being simulated. However, such methods cannot be used if system data is not available. This is often true of cyberattacks, because the victims of cyberattacks conceal …

Self-Efficacy And Self-Regulation As Predictors Of Academic Motivation Among Undergraduate Students In The United States, Fatimah Aljuaid

Dissertations

Problem

Some undergraduate students demonstrate lack of academic motivation which negatively affects engagement and perseverance in higher education (Busse & Walter, 2017; Rizkallah & Seitz, 2017; Dresel & Grassinger, 2013). Amotivated students are more likely to drop out of school and disengage from learning activities or underachieve (Wang & Pomerantz, 2009). Although the lack of academic motivation is correlated with deficiency in self-regulation and self-efficacy, relatively little studies have been conducted to examine the impact of these factors on academic motivation particularly in the U.S. This study constructed a hypothesized model to investigate the role of self-regulation and self-efficacy in …

The Effect Of The Vocabulary Spelling City App On Student Performance In Spelling, Vocabulary, And Reading Comprehension In Grades 5-8 At Glenview Adventist Academy, Fernando Oleynick Lista

Dissertations

Problem and Purpose

Students in fifth through eighth grades at Glenview Adventist Academy (GAA) presented difficulties in the subjects of spelling, vocabulary and reading comprehension. The school had not followed the previous 10-year trend of technology implementation in the classroom, in spite of conclusive research on its advantages. This study was conducted to determine to what extent teaching methodology and the use of technology could affect academic performance in the areas of spelling, vocabulary, and reading comprehension. Research on the implementation of software and the use of tablets (iPad Minis) in the classroom has been scarce and contradictory in the …

An Exploratory Study Of Mathematics Anxiety In Caribbean Preservice Teachers, Franka Atwell-Chin Hong

Dissertations

The Problem

Correlational studies suggest that gender, attitudes to mathematics, mathematics performance, the number of college mathematics courses taken, and mathematics teacher efficacy beliefs may be related to mathematics anxiety among preservice teachers (Boyd et al., 2014; Gresham, 2018; Jaggernauth & Jameson-Charles, 2015). Exploratory studies of mathematics anxiety and teacher self-efficacy among elementary teachers exist in Trinidad and Tobago (Jaggernauth 2012; Jaggernauth & Jameson-Charles, 2015). However, the differences in samples, and weakness in methodology, may make it challenging to generalize the results to the preservice teacher population. In addition, no studies have found which variable or combination of variables is …

How Faculty And Student Preferences For Active And Traditional Instructional Methods Relate To Their Beliefs, Quantity, And Quality Of Experiences, Knowledge Of The Benefits, And Professional Training, Tammy R. Shilling

Dissertations

Purpose

The complexity of preparing students for clinical practice and the mitigating factors that influence pedagogical preferences impact the current realities of health professional education. The purpose of this quantitative, correlational study is to explain the relationships between faculty preferences and student preferences for active over traditional methods and their beliefs, the frequency and positiveness of their experiences, and the amount and extent of the knowledge or training they have had regarding active and traditional teaching methods. Results may further inform and refine health professional education infrastructure changes to support faculty in pedagogical change as they prepare students with the …

Identification Of New Pathways For Co Oxidation On Rh(111) & Spatial And Structural Control Of O-Induced Reconstruction Of Ag(111), Marie Turano

Dissertations

Understanding the fundamentals of oxygen surface structures under a variety of conditions is pivotal to determining reactivity of heterogeneous catalysis. Exposure of catalytically active metal surfaces to high oxygen coverages results in a myriad of surface structures. A further complication is the formation of subsurface oxygen (Osub) or oxygen present in the near subsurface region of the metal. It is known to form in transition metals yet the absorption of oxygen and resultant formation of Osub is not equivalent across all catalytically relevant metals. As a result, it is difficult to predict the stability and efficacy of the formation of …

Clarifying Coaching: A Mixed Methods Analysis Of A Math Content-Focused Model And Its Impact On Teachers' Practice, Content Knowledge, And Dispositions, Lauren A. Solarski

Dissertations

Coaching is increasingly becoming required or recommended as a form of teacher professional development, but the education field has only begun to define the practice and understand its features, especially in regard to its potential to improve math teaching in early childhood contexts. Using mixed methods and a Whole Teacher Approach theoretical framework, this study examined a math content-focused coaching model and its impact on teachers' math content knowledge, teaching practice, and dispositions including attitudes, beliefs, and confidence. Participants included 141 lead and assistant teachers and 5 coaches working in 27 Head Start centers in Chicago. Teachers at centers randomly …

Equity In Secondary Schools: Building A Strong Sense Of Belonging For Students Of Color As A Foundation For Academic Success, Joaquin Stephenson

Dissertations

The problem of practice I am investigating are students who identify as Black and Latinx who are experiencing a statistically significant low sense of belonging at Riverview High School in comparison to their White and Asian counterparts, based on survey data for the past two years. Research has shown that students’ sense of belonging stem from four major factors (1) friendship nominations, (2) time on extracurricular activities, (3) bonding with teacher, and (4) perceived discrimination. By focusing on targeted programming, this study aims to determine the two solutions that can target low sense of belonging for Black and Latinx students. …

Development Of Small Molecule Inhibitors Of Therapeutic Target Enzymes: Paths To Discover Novel Antimicrobials, Thahani Shifna Habeeb Mohammad

Dissertations

The rising antimicrobial resistance to antibiotics is a major global problem, which has been exacerbated by the inappropriate use of antibiotics. The effectiveness of frequently prescribed penicillin derivatives and β-lactamase inhibitors are compromised by the evolution of bacterial β-lactamases and antibiotic-resistant bacteria. Consequently, design and synthesis of small-molecule inhibitors of identified novel antibiotic targets is an urgent unmet medical need. We previously demonstrated that N-functionalized α-aminocyclobutanones can act as peptidomimetic enzyme inhibitors, including inhibition of a key esterase in Francisella Tularensis. The carbonyl of a cyclobutanone is electrophilic due to ring strain, therefore cyclobutanone derivatives can serve as transition state …

Synthesis And Characterization Of Redox Non-Innocent Ligand Supported Transition Metal Complexes, Adriana Marie Lugosan

Dissertations

Catalysis is an integral part of society, which is often taken for granted. Over the past few years, there has been an increased effort to develop catalysts that are more environmentally friendly, selective, and energy efficient. This work focuses on the development of novel complexes made from a carefully designed non-innocent ligand together with earth-abundant and cost-effective transition metals that can be used to understand fundamental inorganic chemistry principles and serve as model systems. The work reported within validates the utility of this novel class of redox non-innocent ligand to form metal complexes with interesting properties, such as a non-porphyrin …

Dying To Fight: The Individual And Social Processes Of The Foreign Fighter Phenomenon, Michael James Schumacher

Dissertations

Why do individuals take the extraordinary risk of traveling abroad to fight, and potentially die, in another country's conflict? This dissertation compares the motivations behind the U.S. citizens who fought on behalf of the International Brigades in the Spanish Civil War (1936-1939) and the Tunisian citizens who fought on behalf of the Islamic State of Iraq and Syria (ISIS) in the Syrian Civil War (2011 - present). The study relies on personal narratives of individual foreign fighters collected through twelve weeks of archival research at the Tamiment Library in New York City and the Ernest Hemingway Archives in Boston dedicated …