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Aqualoop (The Four Stages Of Earth's Water Cycle), Precious Onwubuche Jan 2025

Aqualoop (The Four Stages Of Earth's Water Cycle), Precious Onwubuche

Theses

This research investigates the development of an educational initiative that illustrates the water cycle using real-life simulations and moving graphics targeting high school students and older audiences to connect theoretical knowledge with hands-on learning in Earth science education. The initiative utilises visual design strategies to turn intricate hydrological processes into an engaging educational journey. The significance of this project is underscored by statistics showing that fewer than 30 percent of secondary school students master Earth science principles, such as the water cycle. This is based on 2019 information from the National Assessment of Educational Progress (NAEP). Additionally, and notably, more …


How Smart City Growth Principles Can Be Adopted In The Uae To Solve The Local Housing Problems?, Shaima Abdulla Alblooki Jan 2025

How Smart City Growth Principles Can Be Adopted In The Uae To Solve The Local Housing Problems?, Shaima Abdulla Alblooki

Theses

Shaikh Zayed Housing Program “SZHP” is the governmental program that is responsible for local housing in the UAE. The program’s main aim is to offer a variety of housing services such as loans, grants, and ready-to-move houses. However, both the continuously growing urban population and liveability challenges are impeding the program to meet its goal. As mentioned on SZHP’s official website “We should continue to explore new ways to establish informed dialogue with different groups of society and to ensure adequate housing for national families, in achieving stability and community development by meeting future needs” (SZHP, 2022 ). Accordingly, this …


Predictive Policing - Leveraging Cctv Data And Ai For Crime Hotspots, Maitha Ahmad Jan 2025

Predictive Policing - Leveraging Cctv Data And Ai For Crime Hotspots, Maitha Ahmad

Theses

This thesis explores fine-grained sentiment analysis in the context of police social media posts, leveraging hybrid approaches to manage the rapid flow of big data and mitigate its negative impact on youth. As social media becomes a primary medium for public interaction, understanding sentiment within police-related posts is crucial for law enforcement agencies to gauge public opinion and address community concerns effectively. The rapid dissemination of information and the potential for negative sentiments to spread swiftly pose significant challenges, particularly for young audiences. The research begins with a comprehensive review of existing sentiment analysis techniques and their applicability to large-scale …


Machine Learning And Artificial Intelligence Models And Techniques In Modern Power Grid Communication Architecture, Majid Jamal Majid Salim Almheiri Jan 2025

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 …


I Hear A New World, Katie Christ Dec 2024

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 …


Body Study, Annaliese "Ace" Taylor Dec 2024

Body Study, Annaliese "Ace" Taylor

Theses

A paper chronicling the creation of my graduate thesis film, Body Study.


…And So It Ends In A Tie, Crystal Hou Dec 2024

…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 …


Modeling Stormwater Driven Plastic Debris In The Lake Ontario Watershed, Jayson A. Kucharek Dec 2024

Modeling Stormwater Driven Plastic Debris In The Lake Ontario Watershed, Jayson A. Kucharek

Theses

Stormwater-driven plastic debris has emerged as a significant contributor to environmental pollution, particularly in urbanized watersheds like the Lake Ontario basin. This study focuses on developing a comprehensive framework to quantify and predict anthropogenic debris (AD) inputs and transport pathways across Monroe County, NY, using stormwater systems as a key vector. Over two years, empirical data on plastic debris were collected from storm drains retrofitted with LittaTrap™ devices across urban and suburban areas. Debris was weighed, categorized by material and use, and paired with spatial and temporal variables such as land use, rainfall, temperature, and wind events. A Support Vector …


Selling The City: A Qualitative Study On The Image Construction Of Times Square Through Its Media Environment, Sheetal Pandey Dec 2024

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 …


Amorfe: An Ai-Integrated Interactive Brainstorming Interface, Ipshita Pal Dec 2024

Amorfe: An Ai-Integrated Interactive Brainstorming Interface, Ipshita Pal

Theses

Amorfe is an interactive multi-touch digital interface that reimagines brainstorming and collaboration using artificial intelligence (AI). Designed to make ideation more dynamic, the platform allows participants to explore, merge, and refine ideas in real time. AI is a creative catalyst, offering unpredictable outcomes and streamlining the brainstorming process. This makes Amorfe engaging, intuitive, and inclusive, encouraging active participation. The platform’s potential was demonstrated through a hypothetical scenario: “How do we create more green spaces on the RIT campus?” Four participants explored various brainstorming phases through touch interaction, leading to the creation of a prototype simulation video and a promotional video. …


Dissonance, Shreya Talegaonkar Dec 2024

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, …


Rental Property Demand And Supply Analysis Using Machine Learning, Ahmed Amiri Dec 2024

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 …


Social Media Intelligence: Responding To Crime And Violence In The Digital World, Chloe Lynn Sitton Dec 2024

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.


Assessment Of Food Allergy Management And Interactions With Campus Dining Halls Among College Students At Rochester Institute Of Technology, Meghan Taylor Dec 2024

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 Dec 2024

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 Dec 2024

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 …


Greenmind: A Climate-Positive News Portal, Surabhi Singh Dec 2024

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 …


A Summer Class Exploring Computer Science With Educators Of Deaf And Hard Of Hearing Students, Meghan L. Mcsherry, Becca A. Leininger, Maria L. Johnson, Annmarie P. Thomas, Susan Outlaw, Douglas C. Orzolek Dec 2024

A Summer Class Exploring Computer Science With Educators Of Deaf And Hard Of Hearing Students, Meghan L. Mcsherry, Becca A. Leininger, Maria L. Johnson, Annmarie P. Thomas, Susan Outlaw, Douglas C. Orzolek

Journal of Science Education for Students with Disabilities

The purpose of this research project was to design, deliver, and informally assess the content and methodology of an introductory course focused on the block-based coding language, Scratch, for educators of Deaf and Hard of Hearing students (N=20). Prior work by The Playful Learning Lab examined various STEM resources and their effect on student perception of STEM topics and content retention when utilized for Deaf and Hard of Hearing K-12 students. Previous research has shown that computer science and programming resources and curricula available today are not fully accessible for Deaf and Hard of Hearing K-12 students. Educators and teachers …


Lost Roots, Graziela Larroca Dec 2024

Lost Roots, Graziela Larroca

Theses

Lost Roots is an interactive 2.5D exploration game where players unite spirits by growing an underground network of roots. With a limited amount of roots to grow, players must unlock memories of the deceased and navigate through a cemetery in order to advance. The game serves as a unique take on the idea of purgatory, where the soul is essentially stuck and the player must find their own way out. The player first awakens underneath a tombstone with no memories of the past. Their only ability is to navigate through the dirt as a singular root, navigating around obstacles to …


Integrative Hyperspectral Approaches For Advanced Soil Property Analysis And Environmental Monitoring, Nayma Binte Nur Dec 2024

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 …


For The Greater Good, Hannah Craft Dec 2024

For The Greater Good, Hannah Craft

Theses

The body of work included in my thesis exhibition explores how craft mediums can be used to create sculptural work motivated by narrative. Each piece presents a freeze-frame sculptural vignette in the instant before death occurs.


Making Social Interactions Accessible For The Blind And Low-Vision People By Detecting Emotions Through Vocal Tone, Facial Expressions, And Body Language, Gautham Krishna Dec 2024

Making Social Interactions Accessible For The Blind And Low-Vision People By Detecting Emotions Through Vocal Tone, Facial Expressions, And Body Language, Gautham Krishna

Theses

Despite the thriving research in the field of accessibility, there are several niche area where there is a need for specific solutions. One such area is social interaction. Blind and Low-Vision people (BLV) are limited in identifying emotions through verbal communication alone, which is often biased and unreliable in certain environments. Prior research illustrates the importance of body language in expressions and articulates the mechanism behind human emotions. Drawing inspiratoin from such research and various studies that were focused on emotion recognition systems, our research focused on identifying a portable accessible solution for BLV that classified emotion based on multi-modal …


Smart Credit Card Fraud Detection Using Machine Learning, Aisha Bin Sulaiman, Rowdha Masood Falaknaz Dec 2024

Smart Credit Card Fraud Detection Using Machine Learning, Aisha Bin Sulaiman, Rowdha Masood Falaknaz

Theses

This thesis addresses the increasing issue of fraud resulting from technological advancements affecting both customers and fraudsters, while law enforcement agencies face challenges of inadequate case prioritization; data overload and slow investigative analysis. The central objective of this thesis revolves around strategies to counter these challenges, emphasizing the urgency of rapid response to major alert cases that can lead to widespread impacts. The authors' experience in financial fraud detection and credit card crime investigation within the police department has inspired this research, guiding the approach toward practical solutions for everyday operational challenges. The significance of this thesis lies in its …


Modeling Impact Of Simulated Myocardial Perfusion On Cardiac Ablation For Arrhythmia, Brendan Cappon Dec 2024

Modeling Impact Of Simulated Myocardial Perfusion On Cardiac Ablation For Arrhythmia, Brendan Cappon

Theses

Bioheat transfer is the study of heat transfer applied in anatomy and physiology, which is relevant to maintaining homeostatic conditions from metabolic activity, thermal exposures, and various treatments and diagnostic methods. Blood flow significantly impacts heat transfer throughout the body, facilitating the diffusion of heat. Models have been developed to quantify bioheat transfer and the effect of blood flow through tissue for many biological functions and medical procedures, one of which is radiofrequency ablation for cardiac arrhythmia. Significant improvements to models and assumptions are still required as success rates for this procedure remain low for various arrhythmia types. The research …


Development And Optimization Of Electric-Double-Layer Gated Transistors Based On Low-Dimensional Materials: Gate-All-Around Inas Nanowire Arrays And Graphene Channels, John Wyatt Morrell Dec 2024

Development And Optimization Of Electric-Double-Layer Gated Transistors Based On Low-Dimensional Materials: Gate-All-Around Inas Nanowire Arrays And Graphene Channels, John Wyatt Morrell

Theses

Electric-double-layer (EDL) gating is a promising alternative to conventional gating methods for field-effect transistors (FETs), with potential applications spanning current logic, future logic, and neuromorphic computing architectures. This technique employs mobile ions in an electrically insulating but ionically conductive medium to generate strong local electric fields at the gate-to-channel interface, achieving field magnitudes on the order of 1 V/nm. These intense local fields enable significant charge carrier accumulation in the semiconducting channel, positioning EDL gating as a strong candidate for device applications. In this study, we investigate the use of low-dimensional channel materials, including two-dimensional graphene and one-dimensional InAs nanowires, …


Enhancing Medical Cybersecurity: A Machine Learning Solution For Intrusion Detection In Iomt Devices, Afra Yaqoob Dec 2024

Enhancing Medical Cybersecurity: A Machine Learning Solution For Intrusion Detection In Iomt Devices, Afra Yaqoob

Theses

In the past few decades, the healthcare sector has undergone major technological advancements, which have included the adoption of Internet of Medical Things (IoMT), and networked medical devices. These advancements have changed the manner in which patient care is provisioned, enabling for more accurate diagnosis, personalized treatment plans, among other benefits. However, as healthcare providers are growing more reliant on interconnected systems, they have also been exposed to critical cybersecurity vulnerabilities. Medical devices have now become targets for cyberattacks, threatening patient data and its security and endangering patient's health and safety. This thesis examines the affects that inadequate cybersecurity measures, …


An Automated Approach To Detect Cyber Threats With Smart Contracts In Blockchain Systems., Alia Mohammad Ahli Dec 2024

An Automated Approach To Detect Cyber Threats With Smart Contracts In Blockchain Systems., Alia Mohammad Ahli

Theses

Blockchain is becoming one of the main components of the modern world due to its rapid development. Considering its main characteristics as a collaborative distributed database that provides transparency and scalability, blockchain development and application have grown dramatically over the past decade. While the blockchain is a key feature and is used in the industry, it is subject to many risk factors and attacks. Advanced technologies that can successfully detect and mitigate vulnerabilities must be developed for solving these security challenges. This thesis presents the development of a machine learning based approach to discover vulnerabilities in blockchain-based systems. It begins …


Applying Machine Learning For Crime Trend Analysis, Dana Alsoori Dec 2024

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 …


Leveraging Ai To Improve Service Quality For Better Passenger Satisfaction At Airport, Abdulrhman Alsaleh Dec 2024

Leveraging Ai To Improve Service Quality For Better Passenger Satisfaction At Airport, Abdulrhman Alsaleh

Theses

The aim of this research is to explore the impact of airport service quality on passenger satisfaction level in Dubai International Airport (DXB) and the study employed machine learning approach to establish the services quality dimensions relationship with passenger satisfaction. However, the initial objective is to analyze patterns and make future forecasts that DXB could use to enhance service delivery. The research focuses on key service quality dimensions: The study investigates the causal relationship between five constructs: reliability, service quality tangibility, assurance, responsiveness, and empathy using machine learning models such as regression and classification. The information data applies to the …


Small Angle X-Ray Scattering And Form Factor Modeling Of Β Crystallins - A Physiologically Significant Eye Lens Cytoplasm Protein, Srijan Banerjee Dec 2024

Small Angle X-Ray Scattering And Form Factor Modeling Of Β Crystallins - A Physiologically Significant Eye Lens Cytoplasm Protein, Srijan Banerjee

Theses

This thesis provides in depth analysis of small angle x-ray scattering (SAXS) experiments conducted on the beta-high crystallin eye lens cytoplasm protein. In particular, radius of gyration and molecular weight measurements are extracted and compared to measurements from existing work. Furthermore, an approach to math ematically modeling the scattering ”form-factor”, which describes the size and shape of individual particles, is also developed and applied to the SAXS data. The model acheived in the thesis appears to agree closely with scattering data at the low q range. Several obstacles which impede the resulting modeling from perfectly characterizing the data at higher …