Digital Commons Network^™

Near Real-Time Center Of Gravity Estimation Of An Unmanned Aerial Vehicle, Carola Vasquez

Theses

As UAV technology advances and finds broader applications across industries, real-time estimation of the center of gravity (CG) becomes crucial for ensuring safe and efficient flight. Accurate CG estimation is vital not only for UAVs but also for manned aircraft, as it significantly influences stability and control by indicating the point where the entire weight is evenly distributed. Variations in CG, resulting from changes in altitude, attitude, speed, fuel consumption, and payload, directly impact stability and may lead to compromised performance and increased risk of accidents if not monitored. Existing methods focus on regression analysis, multi-accelerometer measurements, and pitching moment …

Applications Of Neural Networks In Parkinson’S Disease Diagnosis, Saladin Minhaaj

Theses

Parkinson's disease (PD) is a complex and debilitating neurodegenerative disorder that affects millions of people worldwide. Early and accurate diagnosis is crucial for effective treatment and management of PD. This thesis explores the application of neural networks in PD diagnosis, leveraging their ability to learn patterns from large datasets and make accurate predictions.

Thesis provides an overview of PD, including its symptoms, diagnosis, and current challenges in diagnosis. We then delve into the fundamentals of neural networks, including supervised learning, mathematical interpretations, and parametric models. This research focuses on the development of neural network models that can accurately diagnose PD …

Understanding The Relationship Between Humble Leadership, Reflecting Dialogue, Psychological Safety And Job Satisfaction: A Study Of Japanese Correctional Officers, Yayoi Kimura

Theses

This study investigates the relationships between humble leadership, reflecting dialogue, psychological safety, and job satisfaction among correctional officers in Japanese correctional institutions. Correctional officers face high levels of stress due to their demanding roles in rehabilitating and managing inmates, yet the impact of organizational factors on their job satisfaction remains underexplored. As Japan undergoes significant changes in its penal system, understanding the factors that contribute to a supportive work environment is crucial. First, this study examines the relationship between psychological safety and job satisfaction among correctional officers. Second, it explores whether facilities that practice reflecting dialogue and humble leadership experience …

Balancing The Scales In The Fashion Industry, Theresa J. Fennell

Theses

The standards of beauty, particularly in the fashion industry, have long been a source of societal debate and controversy. Although beauty can be seen as “subjective,” over the years, certain standards have become institutionalized, creating exclusionary ideals that have dominated the fashion industry. Historically, these standards have favored slim body types, marginalizing larger, plus-size bodies. This bias is deeply entrenched in the industry, influencing everything from design to representation in advertising. However, the body positivity movement has emerged as a transformative force, advocating for the acceptance of diverse body types and pushing for greater inclusivity in fashion. Despite these advances, …

Predicting Newborn Low Birth Weight: A Machine Learning Approach Using Maternal Health And Demographic Data, Rayan Elsayed

Theses

Low birth weight (LBW), defined by the World Health Organization as a birth weight under 2500 grams, remains a major global health challenge due to its association with increased risks for adverse neonatal and long-term health outcomes. This study aims to identify maternal health factors that contribute to LBW and to develop predictive models to support early identification of at-risk pregnancies. Two machine learning models, Logistic Regression (LR) and Random Forest (RF), were developed to analyze the relationship between maternal factors and LBW outcomes. The RF model achieved an accuracy of 96.36%, demonstrating robust predictive performance across metrics, making it …

Utilizing Machine Learning For Categorizing Disaster-Related Tweets, Ahmad Alfalasi

Theses

This study presents the development of a machine-learning model that recognizes tweets about disasters in real-time. The fast-paced development of social media, especially Twitter, has drastically changed the field of news transmission during crises. This change creates new challenges for the management of the volume, velocity, and veracity of data that are generated in such situations. The present tools do not have the capabilities of real-time processing of the huge volume of data; hence, new solutions are required. The model we are proposing addresses this problem by using advanced machine learning methods, such as natural language processing, to filter and …

Impact Of Coolant Temperature On Boiling Chamber Performance For Cooling Electronic Chips, Nooruldeen Mustafa

Theses

Data centers in their quest for ever-increasing processing power are generating more heat than ever before. This heat, if not effectively managed, can lead to equipment failure, reduced performance, and significant financial losses. The development of efficient cooling systems is therefore a pressing need. While numerous two-phase techniques have been developed to meet this escalating heat dissipation demand, their compatibility with free-to-air cooling, especially at higher temperatures, remains a challenge. To address this issue, we propose the use of boiling chambers employing subcooled boiling and submerged condensation mechanisms, an innovative solution that promises effective heat dissipation. This study delves into …

Shape Between Intimacy, Mackenzie Serwa

Theses

This thesis examines the parallel exploration of raw tactile materials and relationships to develop a personal dialogue of intimacy. It breaks down the materiality of glass, clay, and the impulse of collecting, aiming to communicate the human connections shared between each. By engaging with materials in this way, this study aims to foster a deeper understanding of the existence, influence, and expression of intimate relationships.

The Mythical Nexus: Illuminating The Rich Tapestry Of Global Folklore, Trishala Parmar

Theses

There is a lack of accessibility and exposure to global folklore for a wider audience. Despite the richness and diversity of folktales worldwide, many people may not have access to them due to limited resources, language barriers, cultural isolation, and a lack of exposure. I saw a need to preserve and celebrate cultural heritage through stories and make it fun. I created an interactive website called The Mythical Nexus which allows an audience to interact with different stories and cultures through a series of rotating cubes. This website connects stories and folklore from around the globe through the power of …

Using Machine Learning For Road Accident Severity Prediction And Optimal Rescue Pathways, Mohammad Yousuf Sulaiman Alhashmi

Theses

Road traffic accidents remain a critical challenge for urban planners, transportation authorities, and public safety stakeholders worldwide. Despite advancements in road infrastructure and traffic management, the frequency and severity of accidents continue to strain emergency response systems and compromise public safety. Accident hotspots, are particularly concerning, as they often exhibit recurring patterns of accidents due to factors such as poor road design, high traffic density, and adverse weather conditions. This thesis addresses the challenge of predicting accident severity and identifying accident-prone areas through a data-driven approach. Using a large dataset of over 7.7 million accident records containing geographical, environmental, and …

Using Machine Learning To Predict Energy Consumption In Commercial Buildings In The Uae, Saif Nasser Aljasmi

Theses

The ever-growing demand for energy necessitates a shift towards efficient management practices. Buildings, responsible for a significant portion of global energy consumption, present a prime opportunity for optimization. Building Energy Management Systems (BEMS) have emerged as a crucial tool in this endeavor, offering a comprehensive platform for monitoring and integrating various building systems. However, a key functionality within BEMS, energy consumption prediction, has faced limitations in accuracy. This stagnation hinders the full potential of BEMS for achieving optimal energy management strategies. Traditional methods for energy prediction often rely on historical data and lack the sophistication to capture the complex and …

Analyzing The Effects Of Economic Factors On Residential Real Estate Market Dynamics Of Dubai: Using Machine Learning Methods, Zarrina Shokirova

Theses

Dubai’s residential real estate market is known for its rapid growth and dynamic nature, making it an intriguing subject for analyzing the impact of various economic factors. This thesis examines how key economic elements such as GDP growth, inflation rates, and foreign investment influence property dynamics in Dubai. By synthesizing current research, this study aims to understand how these economic conditions affect real estate values, demand, and supply. Additionally, modern analytical methods, including decision trees, logistic regression, and random forest models, are employed to predict market trends and uncover significant patterns. This research contributes to both academic understanding and practical …

Mitigating Network Congestion In High-Density Areas Through Advanced Distributed Antenna Systems, Amal Abdulrahman Albeshr

Theses

This dissertation investigates the optimization of Distributed Antenna Systems (DAS) to address network performance challenges, enhance user satisfaction, and improve operational efficiencies in high-density environments. The study explores the integration of DAS with smart city infrastructure to support modern urban needs, such as real-time monitoring and IoT device connectivity. Set against the backdrop of growing urbanization and increasing demand for reliable connectivity, this research provides a comprehensive analysis of DAS as a transformative solution for telecommunications and smart city applications. The primary research question guiding this study was: How can Distributed Antenna Systems (DAS) be optimized to enhance network performance …

Robust And Efficient Active Inference For Perception, Action, And Learning, Zhizhuo Yang

Theses

Active Inference (AIF) is an emerging framework rooted in neuroscience aimed at elucidating human perception, action, and cognitive processes. Recent advances in machine learning have facilitated the non-invasive study of human cognition through the lens of this framework. This dissertation expands upon this theoretical foundation to address practical challenges in robotic control and human cognitive behavior analysis. We initiate our exploration with a review of the eye-tracking studies that underpin the motivation for AIF research. This provides a background for understanding how AIF can model cognitive processes. First, we present a minimal AIF model within a discrete state space, framed …

Temporal Analysis And Prediction Of Air Quality Based On Environmental Data, Mizbah Syed

Theses

Air pollution is one of the most pressing environmental challenges of the modern era, significantly impacting public health, ecosystems, and economic stability. Pollutants such as PM2.5, PM10, and NO₂—largely driven by urbanization, industrialization, and vehicular emissions—have exacerbated global health issues, including respiratory illnesses, cardiovascular diseases, and premature mortality. According to the World Health Organization, air pollution contributes to over 7 million deaths annually, with economic losses amounting to billions of dollars. Beyond its health and financial toll, air pollution worsens climate change, underscoring the urgent need for accurate air quality index (AQI) prediction to enable timely interventions and evidence-based policymaking. …

Design Of A Custom Embedded Replay Control Board For A Vintage Porsche, Christopher Heltz

Theses

Many industries rely on decades old software and electronics to run machines that are essential for America’s industry. These companies operate on the sentiment of “if it’s broke, don’t fix it”. This works great until something breaks, then these same companies are faced with a tough decision. Either replace the old software and electronics with modern solutions or fix the original electronics. Both options have their challenges, the first costs much more in the short term and will require many man hours to design a new solution however the latter will require finding the original documentation or having trained individuals …

Recast, Reform, Reshape: Surreal Figurative Painting, Keely Wu

Theses

This thesis explores the use of surreal imagery and the reimagining of historical subjects as a means to discuss complex ideas of identity. In this exploration, I chose to use the human figure as a vessel for expressing my own intimate viewpoints and experiences. Through a series of paintings, I investigate how the juxtaposition of human forms with non-human elements challenges conventional notions of gender and sexuality to empower marginalized perspectives. My Master’s degree started with my transition from commercial illustration to fine art. The study examines my evolution of thematic and stylistic choices, emphasizing the creation of new works …

Beauty In The Mundane, Madeline Caniglia

Theses

This project focuses on challenging what compositions are considered valuable as art. The primary focus is on the relationship between light and shadow and how it contributes to the revelation of finding beauty in the mundane. This project involves studying old masters like Caravaggio and Edward Hopper while employing their techniques and methods in my artworks. Through a series of oil paintings, I depicted everyday objects and scenes to demonstrate how classical techniques, paired with contemporary subjects, help bridge historical and artistic practices with modern art.

Breaking The Grid: Metamorphosis And Materiality In Meret Oppenheim’S An Evening In The Year 1910, Jacklyn Meyer

Theses

This paper analyzes Meret Oppenheim’s painting An Evening in the Year 1910 from 1972 and its exploration of the theme of metamorphosis and materiality. Looking at certain biographical information about the artist’s crisis period and time spent with the Surrealist group is crucial in understanding what can be discerned from viewing this work. Other works with the theme of metamorphosis within her oeuvre are studied as they provide further context for Oppenheim’s artistic philosophy and her penchant for revisiting themes repeatedly. Other works with the theme of metamorphosis are studied as they provide further context for Oppenheim’s artistic philosophy and …

A Funerary Rite: A Visual Ethnography Of Climate Change, Threatened And Endangered Coral Species, And The Impact Of Coral Reef Death On Coastal Communities, Jason Uhl

Theses

This directed project includes research on a selection of the 24 coral species currently listed as threatened or endangered, these being at high risk of extinction. Climate change of the Anthropocene era and associated human-induced pollution impacts have resulted in most of the Earth’s coral reefs experiencing increased coral bleaching and coral death events. Our planet’s coral reefs are the main habitat to 25% of the world’s fish population. These coral habitats have also supported innumerous coastal communities in cultural, economic, social, and spiritual respects for millennia. This directed project includes the creation of an exhibition of 22 lidded ceramic …

Postermania: The French Advertising Poster Of The Fin-De-Siècle: An Art History Course, Erin Quirk

Theses

This project presents a comprehensive exploration of illustrated advertising posters at the fin de siècle highlighting their multifaceted role as artistic works, commercial media, and cultural artifacts. Designed as a three part course for a museum education department, the study integrates art history, visual culture, and social history to analyze the impact of these posters on the modernizing city of Paris. Focusing on artists like Jules Chéret, Henri de Toulouse-Lautrec, and Alphonse Mucha, the project traces the aesthetic evolution of the poster that blurred the lines between fine art and mass culture. The course examines the broader socio-historical context, exploring …

Optimizing Small Business Success Through An Online Fashion Consulting Infographic Guide, Nicole Campbell

Theses

The project aims to challenge traditional thinking within the fashion industry, paving the way for the creation of a thriving consulting business. In addition, it will underscore the significance of developing a strong online profile for fashion consultants, symbolizing the birth of the Consult the Soul brand. Through this initiative, the project aspires to revolutionize the realm of fashion consulting by fusing unique tactics with ethical standards. By encouraging a fresh perspective and emphasizing the importance of embracing digital platforms, the project sets out to redefine the standards of success within the industry. Ultimately, this venture seeks to establish a …

The Intersection Of Interactive Narrative And Flow State Immersion: An Exploration Of Trauma, Resilience, And Post-Traumatic Growth, Tiffani Barner

Theses

This work investigates the benefits of interactive narratives in conjunction with flow state immersion for individuals with Post-Traumatic Stress Disorder. A specific focus is placed on narratives that contain dark or horror-based themes. In addition, the importance of selfauthorship, representation, and empowerment are explored. Accompanying the examination of flow state, concepts such as challenge, failure, and the motivation to succeed at challenging tasks are analyzed. This work also includes a survey pertaining to user preferences regarding media and genre preferences. The goal of this project is to design an interactive user experience that activates flow state while also providing an …

Jacqueline Marval: Référence Sans Révérence Art History Lecture And Activity Series, Michelle Erickson

Theses

The painting Les Odalisques (1902-03) anchors the investigation of French artist Jacqueline Marval’s presence and contribution to the modernist art narrative. The painting is composed of five women who share a face and features, set in a private female space. The canvas is complete with bold strokes of color, and their skin is painted in the unrealistic tones that Fauvists will embrace, yet naturally – these women are still fully and complexly human. From a distance, they are sculptural.

This project is intended as a Club de Lecture series for adult learners of French culture and language at the Alliance …

Reframing The Canon: Black Contemporary Artist Shaping The Western Narrative, Elaysha A. Bazil

Theses

Reframing the Canon is an exhibition and thesis project that centers on Black Contemporary artists and their pivotal contributions to the Western art canon. Curated by Art BaziL, the exhibit challenges traditional narratives and biases, creating a space where Black art is celebrated as integral rather than supplemental. Through a collection of multi-medium works—from abstract paintings to digital art and handcrafted jewelry—the exhibit invites viewers to experience Black creativity beyond themes of struggle, highlighting resilience, innovation, and beauty. This project responds to the historical exclusion of Black voices within mainstream art institutions, advocating for a more inclusive and representative canon. …

Beauty Beyond Barbed Wire: Chiura Obata’S Perspective Of The Horizon, Bri Carlson

Theses

Depictions of the environment are an integral part of American art history because they convey cultural relationships of all who inhabited the land. The environment is often a stagnant force that harbors lifetimes of human history. One of these histories is the incarceration of about 120,000 Japanese immigrants and American citizens in 1942 after the bombing of Pearl Harbor. They were forced to evacuate their homes, lives, and families to live in detention centers and prison camps where living conditions were subpar. Many turned to art making to cope, and some artists used their work to silently protest and visually …

Project-Based Learning In Art History: Course Curriculum, Katelyn Baltes

Theses

The course entitled “Project-Based Learning in Art History” is a rigorous curriculum that introduces students to art history but creates a better understanding of how materials and techniques were used throughout time. Students in 11-12th grade will be able to apply their knowledge and learning through projects integrated within each unit to develop a stronger understanding of the content. Students will be able to apply the design elements and principles of design within their artwork and recognize the different characteristics of various periods and cultures. There will be the use of two-dimensional and three-dimensional art within each unit, and students …

Contemplating Glaciers - A Dialogue, Jessica Elizabeth Turner

Theses

This project investigates the evolving relationship between art, climate education, and audience engagement. It explores how the visual arts serve as a medium for fostering awareness and dialogue about climate change while inspiring climate resilience through artistic and curatorial intervention. The exhibition Contemplating Glaciers – A Dialogue showcases the work of Canadian artist Jan Kabatoff, whose practice incorporates multisensory experiences, including paintings, sculptures, photographs, VR, and soundscapes to engage viewers with the ongoing degradation of glaciers. The exhibition bridges the gap between scientific knowledge and artistic expression within a gallery space designed to encourage participation and reflection. It seeks to …

Artificial Neurovascular Networks To Simulate Energy Distribution To Spiking Neural Networks, William Bottom

Theses

Biological neurons are known to be much more energy efficient than modern computers, with the human brain only consuming about 20 Watts. An Artificial Neural Network can take hours or days to train on high-performance and energy-consuming GPUs, so networks that can achieve similar performance at a fraction of the energy cost are very sought after. Spiking Neural Networks, which mimic biological neurons more closely than Artificial Neural Networks (ANNs), are a potential option for the energy problem in Neural Networks. By converting an ANN to an SNN and applying energy-saving methods/architectures, the equivalent SNN network can achieve similar performance …

Applying Machine Learning For Crime Trend Analysis, Dana Alsoori

Theses

The analysis of crime rates has always been a critical component in shaping law enforcement strategies and public policy. This study focuses on the U.S. crime rates from 1975 to 2015, as reported by the FBI’s Uniform Crime Reporting (UCR) Program, to explore patterns and trends over four decades. By analyzing this extensive dataset, the project aims to provide insights into the dynamics of criminal activity across different regions and crime categories. The goal is to uncover both visible and hidden trends that can inform better decision-making in crime prevention and resource allocation. With the rise of data-driven methods, this …