Digital Commons Network^™

Machine Learning And Artificial Intelligence Models And Techniques In Modern Power Grid Communication Architecture, Majid Jamal Majid Salim Almheiri

Theses

Smart grid is evolving in different phases and artificial intelligence (AI) models are also the part of it. In the recent developments of Smart grid system there are research areas which are left unaddressed specifically in privacy techniques, scalability, more efficient data processing techniques. This Thesis highlights the research gaps on smart grid development across various integration phases. In the initial phase of Smart grid development, challenges included scalability issues in Machine-to-Machine (M2M) communication, communication delays affecting voltage stabilization and high computational costs in implementing Genetic Algorithm (GA)-based grid state estimation are covered in this review report. Review is further …

Surveying The Role Of Visual Analytics In Human-Machine Teaming, Naga Datha Saikiran Battula

Theses

Humans and machines both possess their unique capabilities and have their strengths and weaknesses, which can be complementary to one another and allow them to achieve a common goal. Teaming in the modern era involves text prompts, voice commands, gesture recognition, touch interfaces, and the latest visualization techniques that allow parties/agents to interact. Communication through visualization plays a vital role in allowing robust insights to be gained through a glance. Using visualization as a medium between humans and machines can increase the communication bandwidth. Human-machine teaming has witnessed much progress, with many theories and practical examples emerging. In the report, …

Automated Segmentation Of The Ulnar Nerve In Mri Using Deep Learning Techniques, Akhil Nagulapalli

Theses

Cubital Tunnel Syndrome (CuTS), a condition caused by compression of the ulnar nerve, results in numbness, tingling, pain, and even muscle atrophy, affecting fine motor skills and diminishing patient quality of life. Accurate diagnosis of CuTS is challenging, as current diagnostic methods—including clinical exams, nerve conduction studies, and unaided MRI—often lack the precision to reliably identify the nerve and detect compression in its early stages. Deep learning-based segmentation offers a promising solution, enabling precise and automated identification of nerve structures in MRI images, which could significantly improve diagnostic accuracy and support timely intervention.

A novel deep learning model for segmenting …

Exploration Of The Iterative Design Process: Integrating A Requirements Matrix And Hazard Analysis Toolsexploration Of The Iterative Design Process: Integrating A Requirements Matrix And Hazard Analysis Tools, Blaine Edlefsen

Theses

The iterative design process is applied to multiple industry sectors from software development to product manufacturing. The cyclical approach integrates the steps of design, prototyping, and testing toward the realization of a user's specified needs. The use of a requirements traceability matrix and hazard analysis documentation that supports the definition of the iterative design process is explored. These design project management tools are applied to a case study involving workholding design for a Wire Electrical Discharge Machining (Wire-EDM) manufacturing process. This industry-relevant case study is conducted in collaboration with New Jersey Precision Technologies, Incorporated (NJPT). The design requirements involve both …

Advancing Prediction Of Stimulant Medication Misuse Through Graph Representation Learning, Hamid Razavi

Theses

The misuse of stimulant prescription medications poses a significant and escalating public health concern in the United States, particularly among young adults. Addressing this issue requires sophisticated methodologies capable of uncovering complex patterns and relationships in data. Geometric Deep Learning, a paradigm designed to analyze data with non-Euclidean structures, has achieved remarkable success across various domains, offering a powerful framework for tackling complex graph structure data challenges.

This study leverages Graph Convolutional Networks (GCNs) to predict the likelihood of stimulant medication misuse using data from the National Survey on Drug Use and Health (NSDUH). Individuals are represented as nodes in …

Utilitarian And Self-Representational: Player-To-Player Character Relationships In Final Fantasy Xiv, Zu Er Guan

Theses

This thesis studies the relationships between video game players and their player characters, the characters that they control, through the lens of player purpose and intent by conducting research using an online survey developed and analyzed using an interdisciplinary methodology based on existing studies in the field regarding avatar identification, player psychology, and queer and feminist theory. This thesis posits that are two types of player relationships with their player characters based on player intent—player characters as the personal avatar and representation of the self, and player characters as a tool for the execution of player control and gameplay experience. …

…And So It Ends In A Tie, Crystal Hou

Theses

…and so it ends in a tie is a 2D frame-by-frame animated short film produced during the course of my 3rd year as a Master of Fine Arts student in the School of Film & Animation at Rochester Institute of Technology. The film explores themes of homosexuality, female sexuality, and the history of Japanese rope bondage through the fictionalized story of a fateful encounter between a rope-wielding martial artist and a mysterious woman who captures her attention. This paper serves as a documentation of the filmmaking process, a discussion of the ideologies and goals behind its creation, and a retrospective …

I Hear A New World, Katie Christ

Theses

“I Hear a New World” is a documentary short film that reflects on the relevance and persistence of nostalgia and tradition during a time of rapid technological advancement and societal change. The film highlights the memories and musings of 8 college students, who were all Class of 2020 high school seniors and whose senior traditions were inevitably brought entirely online due to the Covid-19 global pandemic to varied degrees of success. In rambling, thoughtful delivery, the Gen Z interviewees provide insight into their pre-pandemic internet obsession that led to their teenage reclusivity and how this perspective changed greatly following the …

From Factories To Homes: A Comparative Analysis Of Adaptive Reuse In New England Industrial Buildings For Multi-Family Residential Conversion, Jeremy Weeden

Theses

The adaptive reuse of industrial buildings offers a promising path toward sustainable urban development, particularly in New England. This study investigates the feasibility and energy efficiency of converting an older, unused industrial building into a multi-family residential structure by evaluating three distinct wall assemblies that preserves the exterior brick facade: existing structural brick, a typical adapted wall assembly with interior 2x4 wood construction, and a high-efficiency adapted wall assembly with an additional interior 2x6 wood construction. Through a detailed case study analysis focusing on the building’s core and shell, this research aims to identify the most effective wall assembly for …

Pixel Personalities Ai, Patrick Casey

Theses

The Pixel Personality AI project explores how AI characters can be embedded in augmented reality (AR) environments to foster user interaction and storytelling. By situating AI personas within real-world contexts, the project examines how design principles, storytelling techniques, and user-centric technology can create engaging and intuitive experiences. Through iterative prototyping and design refinement, the project addressed challenges in aesthetic design, interface usability, and AR integration. The resulting low-poly aesthetic and customized visual filters enhance spatial storytelling while maintaining a balance between user focus and environmental immersion. This research highlights the potential of AI-driven narratives to reshape AR experiences, emphasizing user …

Rental Property Demand And Supply Analysis Using Machine Learning, Ahmed Amiri

Theses

The real estate market in Dubai is famous for its activity and stimulating potential due to the geographical position of the emirate, well-developed transport and legal framework. Timely determination and prediction of rental price is crucial for investors, property owners and managers, tenants and authorities in their decision making to maximize returns and ensure market stability. Traditional approaches are insufficient for the analysis of the temporal and spatial relations between property characteristics and market processes, which require the use of sophisticated machine learning algorithms. This paper aims to predict the rental prices of properties in Dubai using machine learning models …

Dissonance, Shreya Talegaonkar

Theses

Cognitive dissonance represents a profound psychological phenomenon where conflicting beliefs create mental tension. My thesis, Dissonance, transforms this abstract concept into an immersive multimedia installation that visually explores the human mind's intricate journey of reconciling internal contradictions. Using Cinema 4D, Adobe AfterEffects, and Resolume Arena, the project creates dynamic 3D animations projection-mapped across an 8x8x6 cubic feet space. Carefully designed blackout curtains and strategic seating immerse participants in a transformative narrative of psychological exploration. Audiences navigate through four distinct phases: Consistency, Chaos, Turmoil, and Adaptation. Each phase invites viewers to experience the unsettling yet profound journey of internal conflict resolution, …

Selling The City: A Qualitative Study On The Image Construction Of Times Square Through Its Media Environment, Sheetal Pandey

Theses

As a globally recognized symbol of indulgent consumerism and urban spectacle, the media environment of New York City’s Times Square plays a pivotal role in constructing its iconic image. This qualitative study uses a media ecology framework to analyze how Times Square’s digital displays, interactive installations, and live performances create an immersive experience that informs one’s image of it. Through participant observation and visual content analysis, this study examines how visitors interact with Times Square’s media landscape and identifies recurring media-driven themes. Observations reveal that Times Square’s media ecosystem invites constant public interaction, actively engaging visitors in a feedback loop …

Social Media Intelligence: Responding To Crime And Violence In The Digital World, Chloe Lynn Sitton

Theses

The integration of social media into everyday life has transformed how crime is committed, communicated, and investigated. This capstone project examines the emerging field of social media intelligence and its growing influence on modern policing, surveillance, and the community. Drawing from sociological theory, law enforcement practice, legal analysis, and community-based research, this project offers a far-reaching interdisciplinary view of how social media is shaping crime and justice in the United States.

The Relationship Between Death Depression And Death Anxiety Among Cancer Patients In Saudi Arabia, Doaa A. Almostadi

Theses

This study explored the relationship between death anxiety and death depression among cancer patients in Saudi Arabia. The study sample consisted of 100 Saudi cancer patients, 50 male and 50 female, ranging in age from 18 to 85 with a mean age of 45.5. All participants completed a survey questionnaire that included three parts: the first part contained a demographic data form; the second part consisted of 20 statements to measure death anxiety using the Arabic Death Anxiety Scale; the third part was a 21- item, questionnaire designed to measure depression about impending death using the Death Depression scale-Revised Arabic …

Undeserving And Underserved: Violence Victims And Society, Venita Monet C. D'Angelo

Theses

This capstone includes three papers that explore how structural disadvantage, place-based dynamics, and institutional responses shape the experiences of individuals and communities. The first paper focuses on the relationship between concentrated disadvantage, micro-places, and individual outcomes. It shows how crime is not randomly distributed but clusters in specific locations within disadvantaged neighborhoods. Drawing on theories of social disorganization and cumulative disadvantage, the paper explains how neighborhood and micro-place conditions intersect to shape long-term risks and outcomes for residents. The second paper analyzes a community-based intervention designed to reduce recidivism and revictimization. The evaluation considers the program’s design, goals, and limitations, …

Assessment Of Food Allergy Management And Interactions With Campus Dining Halls Among College Students At Rochester Institute Of Technology, Meghan Taylor

Theses

Objective: This study explored college student dining experiences to identify areas for improving Dining Service allergen management. Method: A cross-sectional survey assessed specific allergies, frequency of allergic reactions, confidence and satisfaction with Dining Services, epinephrine auto-injector use, challenges, suggestions and use of dietitian services. Analyses included quantitative and qualitative methods. Results: Of 74 survey respondents, 28 were eligible, with 61% reporting two or more allergies (mean 2.4 ± 2.0). Tree nuts, peanuts, and milk were most common. Students with multiple allergies were more likely to carry epinephrine auto-injectors (p=0.015), though overall adherence was low. Concerns included cross-contact, inconsistent allergen labeling, …

Policing And Media: Past, Present, And Future, Mark Deratzou

Theses

This paper examines the historical relationship between policing and media, with a focus on how media has influenced policing within the United States. It begins by examining portrayals of policing in print and broadcast media, as well as major historical events, before discussing how media influences public perceptions of police. The paper then transitions to an examination of social media, focusing on how these platforms shape perceptions of police and how they are used by the public in relation to policing. The paper then concludes with a discussion of policing and media-related policies and reforms, as well as considerations for …

Shell In The Sand, Mukund Kuntimad

Theses

sHELL in the Sand is a 2D animated student thesis film produced at the Rochester Institute of Technology. The film stars Travis, a newborn baby sea turtle who is trying to avoid certain death on his journey to the ocean. Among the threats he faces are sand traps, human litter, and natural natural predators. The main persistent threat that Travis has to deal with is a hungry pirate crab named Captain Fannyklaws, whose one goal is to make a meal out of Travis. The film serves as a metaphor for the struggles of everyday life that everyone goes through, showing …

Data Privacy Protection For Zero-Permission Sensors In Iot Systems, Xinyi Liu

Theses

The Internet of Things (IoT) has revolutionized various domains through real-time decision-making and automation, with sensors serving as foundational components. Zero-permission sensors, such as accelerometers and gyroscopes, are widely used in most IoT systems, enabling unrestricted data access without permission. Despite being traditionally perceived as low-sensitivity, recent studies have shown that these sensors can be exploited to infer sensitive personal information, raising serious privacy concerns. Local Differential Privacy (LDP) is a rigorous technique for numerical data privacy protection even when the data collector, such as an IoT service provider, is untrusted. LDP ensures privacy by adding noise to sensor readings …

Cognitive And Emotional Theory Of Mind In Eating Disorders: The Mediating Role Of Alexithymia, Morgan R. Johnson

Theses

A number of studies have documented deficits in theory of mind (ToM), or the ability to infer the mental states of others, among individuals with eating disorders (EDs). Much of this research has focused on emotional ToM, as opposed to cognitive ToM, where mental inferences do not contain affective content. Alexithymia, a difficulty in the ability to correctly identify and describe one’s emotions, has also been reported among individuals with EDs. Alexithymia was hypothesized to mediate the relationship between ED symptoms and emotional ToM, as it has been shown in past research to significantly mediate emotion processing deficits in those …

Donut Day, Amelia Krouse

Theses

Donut Day is a 2D animated short film that was produced by Amelia Krouse at the Rochester Institute of Technology from 2023-2024. It was her third short film produced, and was just over three minutes long. The short is a comedic narrative piece that depicts the struggles of an office worker chasing after a dropped ring.

Predicting Students At Risk Of Dropping Out In The College Of Medicine At Mohammed Bin Rashid University Of Medicine And Health Sciences. A Machine Learning Approach To Understand Attrition Factors Over The Past Seven Years, Moza Sulaiman Al-Zaabi

Theses

This master’s thesis investigates student attrition within the College of Medicine at Mohammed Bin Rashid University of Medicine and Health Sciences (MBRU) by applying the CRISP-DM methodology to analyse a dataset of 19 variables and around 2,000 records from Student Admission and Academic Performance sources. Although the dataset was relatively small, several machine learning models were developed to predict students at risk of dropping out, including Logistic Regression, Decision Trees, Support Vector Machines (SVM), and Artificial Neural Networks (ANN). Of these models, the ANN model, particularly when combined with Principal Component Analysis (PCA), achieved the highest performance with an accuracy …

Greenmind: A Climate-Positive News Portal, Surabhi Singh

Theses

Greenmind is a website that promotes positive climate narratives for environmentally conscious individuals seeking hope and actionable solutions. It redefines how we approach climate change narratives by focusing on hope and progress. Unlike traditional media that often rely on fear to grab attention, Greenmind delivers stories showcasing actionable solutions and positive impacts already happening across the globe. Its core mission is to empower individuals to see themselves as agents of change, fostering collective action rather than promoting fear as a tactic for change. Greenmind’s approach to climate narratives is supported by research emphasizing the power of positive storytelling. Studies from …

Wildflowers A Novel, Kelli Roberts

Theses

Abstract for Wildflowers

Wildflowers is a feminist literary novel that examines the intersection of sex, power, and free will, exploring how these forces shape and define human agency. The story follows a group of women drawn to an enigmatic leader who promises enlightenment and empowerment through embracing their desires. As they navigate the fine line between self-actualization and manipulation, the novel delves into themes of liberation, coercion, and the choices we make to create the lives we long for. Provocative and thought-provoking, Wildflowers invites readers to consider the complexities of desire, the cost of empowerment, and the courage required to …

How Leadership Styles Impact Lgbtq+ Civil Rights, Milo Thompson

Theses

Leaders rely on different leadership styles to legitimize their rule and obtain political power. However, these leadership styles have positive or negative impacts for protecting human rights in the LGBTQ+ community. This thesis examines how political leadership styles impact protecting or repressing the civil rights of the LGBTQ+ community. This article argues that constitutionalist leaders who abide by the “rule of law” will better protect LGBTQ+ civil rights than personalist, ideological, or performative leadership styles. Drawing on both qualitative and quantitative research methods, this paper examines how leadership styles impact LGBTQ+ discrimination.

Assessment Tools In Verbal Behavior Research: A Systematic Review Of The Literature, Danielle Pisarek

Theses

Assessment tools are an essential component of applied behavior analysis (ABA), offering important information to assist in the design of intervention strategies for individuals with developmental disabilities, including autism spectrum disorder (ASD). Previous research has studied the validity, consistency, and effectiveness of some of these tools, with studies such as Dixon et al. (2017), Padilla and Akers (2021), Stewart et al. (2010), and Usry et al. (2017) providing insights into their attributes, shortcomings, and relevance. However, publications focusing on the use of these tools within behavior analytical research are lacking. This systematic literature review (SLR) aimed to identify and analyze …

Integrative Hyperspectral Approaches For Advanced Soil Property Analysis And Environmental Monitoring, Nayma Binte Nur

Theses

Hyperspectral imaging has emerged as a powerful tool for enhancing the analysis of diverse soil properties and environmental monitoring. This study refines the precision of soil biogeophysical analyses by improving the estimation of soil moisture content (SMC), soil organic matter (SOM), total carbon (C), and nitrogen (N) through hyperspectral remote sensing techniques. The research examines the capabilities of two prominent moisture retrieval models: the multilayer radiative transfer model (MARMIT) and the modified soil water parametric (SWAP)-Hapke model. These models are evaluated using hyperspectral imagery derived from unmanned aerial systems (UAS) and goniometric data collected across various environmental settings. The findings …

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 …

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 …