Digital Commons Network^™

Ideals And Lattices In Number Fields, Sarah Ali Alyammahi

Theses

This thesis investigates algebraic number fields and their rings of integers, which

generalize the ring of integers ℤ in ℚ. The study focuses on ideals, units, and ideal class

groups, which describe the arithmetic structure of number fields and the failure of unique factorization. Key invariants such as the norm, trace, and discriminant are developed and applied, with particular emphasis on quadratic number fields and classical examples such as the Gaussian and Eisenstein integers. Some explicit computations of ideal class groups are carried out. The thesis also explores connections with lattice theory by interpreting rings of integers as lattices and …

Traditional And Machine-Learning Equalization Techniques For Bandwidth-Limited Short-Reach Optical Communication Channels, Abdullah Khawatmi

Theses

This thesis investigates equalization techniques for bandwidth-limited short-reach optical communication systems, with a focus on Visible Light Communication (VLC) and Step-Index Plastic Optical Fiber (SI-POF) links. Commercial light-emitting diodes and photodiode receivers impose severe bandwidth constraints, inter-symbol interference, and noise sensitivity, which fundamentally limit achievable data rates. The work addresses these impairments through systematic evaluation of traditional digital signal processing–based equalizers and modern machine-learning-based post-equalization methods. The primary aim of this thesis is to enhance the achievable data rate and reliability of commercial short-reach optical links while maintaining practical computational complexity. Specifically, the objectives are to (i) design and experimentally …

Llm-Driven Mission Control And Autonomous Planning For Search-And-Rescue Uavs: A Simulation-Based Evaluation, Naser Bader Alsaedi

Theses

Unmanned aerial vehicles (UAVs) are increasingly used in search‑and‑rescue (SAR) missions, yet many systems still rely on fragmented software where mission design, perception, and flight control are configured separately. This thesis examines whether a unified AI‑driven framework can reduce configuration effort and operator workload in UAV‑based SAR operations. The proposed system integrates natural‑language mission specification using a large language model (LLM) (LLaMA 3.1), autonomous coverage planning, YOLOv8‑based victim detection, and PX4/MAVSDK control within a single architecture. Operators describe missions through free‑form text or a graphical interface; the model converts these descriptions into structured mission parameters that are automatically planned and …

Comparative Evaluation Of Five Bacterial Strains For The Fermentation Of Camel Milk, Sifatun Nesa Ali

Theses

In this study, the comparative fermentation performance of lactic acid bacteria Streptococcus thermophilus, Lactobacillus delbrueckii subsp. bulgaricus, Lb. helveticus, Lb. casei, and Lactiplantibacillus plantarum in Camel Milk (CM) and Bovine Milk (BM) was investigated. Fermentations were carried out at 42°C for 48 hours, and was monitored through bacterial growth, titratable acidity, pH evolution, proteolytic activity, microstructural properties, and rheological characteristics. Although comparable bacterial viability was observed in CM and BM, acidification kinetics varied significantly between CM and BM (p < 0.05). Proteolysis was significantly higher in fermented CM than in BM (p < 0.001), with consistently greater o-Phthalaldehyde Assay (OPA) values in CM across all strains during fermentation (p < 0.001). Scanning electron microscopy revealed more porous, loose protein matrices in fermented CM than in BM, which supports the rheological results showing weaker gel networks and lower rheological strength in fermented CM. Among the tested bacteria, Lb. casei demonstrated superior adaptability, enhanced viability, balanced acidification, and favorable rheological properties in both milks. Overall, the results of this thesis demonstrate strain-specific fermentation responses and support the possible suitability of different starter cultures for improving the technological performance of fermented camel milk products.

Modeling And Autonomous Control Systems For A Delivery Drone Application, Dana Helal Alnuaimi

Theses

This thesis focuses on the development of a multi-drone navigation and control system, aiming to enhance payload capacities beyond the limits of single-drone systems. By integrating multiple drones to work collaboratively as a unit, this study addresses the challenges associated with lifting and transporting heavier payloads.

The primary objective is to design and evaluate a multi-drone system capable of working in tandem to transport larger payloads efficiently. The research aims to develop robust control algorithms, supported by system identification for dynamic modeling, and navigation strategies to enable effective coordination between drones.

The study employs a combination of simulation and real-world …

Analysis Of A Coaxial Transmission Line Filled With An Orthorhombic Dielectric-Magnetic Medium, Fathima Manikunnath Abdul Akbar

Theses

Coaxial transmission lines are fundamental means for Transverse Electromagnetic (TEM) wave propagation in RF, microwave and high-speed electronic systems. The study of transmission lines is often familiar when they are filled with isotropic materials; however modern engineered direction dependent materials reshape field distributions. In this thesis, we consider a coaxial transmission line of an inner radius and outer radius b filled with an orthorhombic dielectric-magnetic material, which is described by two anisotropy parameters αx and αy. The potential and field distributions are studied in relation to the ratio b/a as well as the anisotropy parameters αx and αy. Due to …

Breath-Based Detection Of Liver Cancer Biomarkers Using An Swcnt-Fet Nano-Biosensor: Quantumatk, Mohamed Mohieb Rashdan

Theses

Early detection of liver cancer remains limited by the slow pace and invasiveness of current testing methods. This study proposes a single-walled carbon nanotube field-effect transistor (SWCNT-FET) designed to detect hexanal—a volatile organic compound (VOC) elevated in liver cancer—directly from exhaled breath. The device is modeled in QuantumATK using a semi-empirical Extended Hückel Hamiltonian within the non-equilibrium Green's function (NEGF) framework, emphasizing realistic contact physics by employing metallic SWCNT electrodes instead of conventional metal films. Zigzag channels with (11,0) and (12,0) chiralities are examined to analyze how geometry and contact matching influence charge transport. Simulations include current–voltage (I–V) characteristics and …

Transport Of Quantum Walks In Electric Fields, Yousef Mohammad Yousef Salah

Theses

This thesis presents an analysis of transport in one-dimensional discrete-time quantum walks (DTQWs) on the Hilbert space ℓ²(ℤ) ⊗ ℂ². Quantum walks serve as fundamental models of coherent quantum transport and exhibit ballistic spreading driven by superposition and interference. The primary focus of this work is the review and derivation of sharp maximal velocity bounds for several classes of quantum walk step operators, including the shift-coin walk, the split-step walk, and models with constant as well as position-dependent coin operators. We establish general a priori bounds that remain valid beyond the translation-invariant regime. For homogeneous models, Fourier and spectral analysis …

Development Of A Novel Cfd Approach For Predicting Multiphase Flow Enhanced By Machine Learning, Abdulrahman Elazazi Salem

Theses

Accurate estimation of interface orientation is crucial for ensuring both the accuracy and robustness of Volume of Fluid (VOF) schemes in multiphase flow simulations, especially when using non-uniform Cartesian meshes. Conventional gradient reconstruction approaches, such as least-squares (LSQ) methods, often suffer from significant errors and strong oscillations on highly stretched grids. This work proposes a grid-transferable, learning-based methodology that predicts interface unit normal vectors directly from the local volume-fraction field on nonuniform structured Cartesian grids using a feedforward neural network. The methodology extends earlier work originally developed for uniform grids, which is first reproduced to assess how performance deteriorates in …

Study Of The Effect Of Biodiesel Derived From Jojoba Oil With Alcohols Blends On Diesel Engine Performance, Exhaust Emissions, Vibration, And Noise, Yassir Abdelrahman Elbashier

Theses

This study presents a mutual investigation on the properties of the fuels and the performance of an engine using biofuels from mixtures of jojoba oil biodiesel with alcohols. The work consists of mainly two phases, examining the properties of the jojoba biodiesel-alcohols mixtures and the performance and emission behavior in a single piston diesel engine. A base mixture of 50% jojoba biodiesel and 50% diesel produced, and this was fractionally mixed with 5, 10, and 20% methanol and with 5, 10, and 20% diethyl ether (DEE). The rheological properties namely viscosity and shear stresses of all biodiesel blend mixtures were …

Branding Through Semiotics, Minimalism, & Branding Psychology: The Eurekafit Brand, Torri Salem

Theses

This paper examines how the combination of minimalism, semiotics, and branding psychology work seamlessly together to create an inclusive brand with an emotionally resonate visual identity system-- a brand that is cohesive and bridges the sub-brands of EurekaFit and Eureka CrossFit. What initially started as a logo redesign of Eureka CrossFit has now expanded into this dual-branding visual system, that communicates approachability, a sense of belonging and fitness, without being intimated, to its audience. This study investigates visual signifiers like color, typography and imagery, through a semiotic analysis and approach. I reduced clutter and visual noise and was able to …

Petals Of The Mind: A Digital Floral Interpretation Of Mental States, Corine D. Arrington

Theses

Petals of the Mind is an applied studio art project that explores the use of symbolic floral imagery to visually represent internal emotional states, specifically depression, anxiety, and ADHD. This project consists of six large format digital posters created in Procreate. Each emotional category is represented by a pair of flowers selected for their symbolic and structural characteristics: Blue Poppy and Black Rose for depression, Tulip and Aster for anxiety, and Honeysuckle and Wildflower Mix for ADHD. These flowers are intentionally deconstructed through layering, fragmentation, and motion cues to mirror common internal experiences such as emotional heaviness, vigilance, cognitive scattering, …

Optimizing Virtual Scrolling Performance In Angular: A Comparative Study Of Cdk And Custom Implementation, Guri Sokoli

Theses

Modern web applications often display large datasets with tens of thousands of items, such as e-commerce catalogs, data tables, and social media feeds. Rendering all items in the Document Object Model (DOM) at once causes browser freezing, high memory use, and slow interfaces. Virtual scrolling solves this problem. It is widely adopted but rarely studied through direct performance comparison. Few empirical studies measure how different implementations behave under varying dataset sizes, devices, or browsers. This research conducts a comparative analysis of Angular CDK Virtual Scroll as an industry-standard baseline and develops an optimized implementation incorporating framework-specific enhancements: OnPush change detection …

Dissent By Design: Graphic Communication And The Continuity Of Resistance As A Civic Practice In The United States, Ryan "Rain" Milligan

Theses

Graphic communication has played a role in shaping civic life in the United States throughout much of its history, influencing how individuals recognize injustice, understand systems of power, and participate in collective action. Typically associated with moments of protest or political upheaval, printed materials such as pamphlets, broadsides, newspapers, and posters have also functioned as everyday tools that structure public engagement. This project examines these materials through the framework of agitation, education, and organization, considering how graphic communication operates across different historical contexts to provoke recognition, make complex ideas accessible, and coordinate collective effort. Drawing from a range of historical …

In-Context Retrieval For Molecules And Chemical Synthesis Pathways, Abhisek Dey

Theses

Contrastive learning methods require well-defined positive pairs, limiting their applicability to domains where complete, high-fidelity pairings are available. In practice, large-scale scientific corpora --including patents, publications, and web-scale data -- contain vast quantities of contextually relevant but incompletely paired samples that are discarded under standard training paradigms. In this work, we demonstrate that hard negative mining can be leveraged to construct pseudo-positive supervision signals from unpaired or partially paired data, enabling contrastive learning to exploit the full breadth of available corpora without sacrificing representational quality. Using a large-scale chemical drug patent corpus as a testbed, we train a cross-modal contrastive …

Effect Of Geometry, Cell Size, And Carbon Fiber Reinforcement On The Charpy Impact Strength Of Additively Manufactured Tpms Lattice Structures, Ahmed Yousuf Mohammad Bin Yaroof (Alsuwaidi)

Theses

Scientific research indicates a growing utilization of lightweight, high-performance materials across various disciplines, including engineering, driven by the demands of modern technological advancements. Recent developments within these fields include the creation of advanced lattice structures through additive manufacturing (AM) processes. One such lattice structure is the triply periodic minimal surface (TPMS) structure. TPMS structures possess unique mechanical properties and energy absorption characteristics that distinguish them from conventional AM lattice structures. However, published research to date has largely focused on the quasi-static behavior of TPMS structures, with limited attention given to the impact performance of composite- reinforced TPMS structures. The purpose …

Maintenance Insights For Power Transformers In Energy Networks, Saleh Hassan Al-Ali

Theses

This thesis examines machine learning approaches for predicting failures in electrical power distribution transformers, with the goal of helping utility operators intervene before outages occur. The dataset covers 16,000 distribution transformers operated by Compa ˜n´ıa Energ ´etica de Occidente (CEO), a Colombian utility serving 42 municipalities in the Cauca Department. Each transformer record includes geographic location, rated power capacity, self-protection features, ceramic insulation criticality levels, removable connector configurations, customer categories, user counts, estimated un-supplied energy, installation types, network topology, and secondary line lengths. Failure event histories were also included, which allowed the problem to be framed as a supervised binary …

How Policing Data Visualizations Affect Comprehension, Decision Confidence, And Perceptions Of Racial Disparities, Abeer Mustafa

Theses

Police departments use public dashboards to share use-of-force data for policymaking and public awareness, but it remains unclear how visualization formats affect how people interpret this information. This between-subjects study with 64 participants compares absolute use-of-force incident counts (Totals) and population-adjusted rates (Rates) across four United States cities. The research included a quantitative analysis of graph comprehension, policy prioritization, confidence ratings, and attitude change, as well as a qualitative examination of open-ended responses. Results showed a strong framing effect: those who viewed absolute numbers prioritized Aurora, Colorado (highest incidents) for policy intervention, often disregarding population baselines, while those viewing per-capita …

Wegmans School Of Health And Nutrition’S Culinary Kitchen Cart Manual Development, Neena Bhala

Theses

To facilitate the initiation of culinary medicine at RIT, a manual to guide the use of a mobile kitchen cart was developed and evaluated. This manual was developed to support faculty, staff, and students’ use of a Mobile Kitchen Cart to be able to support culinary medicine and nutrition education activities. The Manual was directed to RIT faculty, staff, and students who have experience with the cart or intend to have future use with the cart. A qualitative evaluation study was conducted with ten participants including RIT faculty (n=2), students (n=4), and staff (n=4). Feedback on the manual was obtained …

Optimizing Urban Commute Quality Through Traffic Congestion Analysis And Predictive Modeling, Obaid Almansoori

Theses

Urban traffic congestion imposes significant economic, environmental, and social costs on rapidly growing cities worldwide. This research investigates how predictive analytics and machine  learning can be leveraged to classify and forecast traffic congestion severity in real time,  enabling data-driven decision-making for transportation planning, signal optimization, and  congestion management. A real-world traffic monitoring dataset comprising 5,952 observations collected over two months via  computer vision sensors at an urban intersection was analysed under the CRISP-DM frame- work. The  dataset records counts of four vehicle classes including cars, bikes, buses, and trucks at  15-minute intervals, alongside temporal variables such as time of day, …

Evaluating Expected Real-World Tactile Experience From Virtual Fabric Perception, Julianna Gross

Theses

Most people have experienced the disappointment of ordering products online and receiving a product completely different to what was expected. For example, a sweater may appear that it is made out of extremely soft blue cotton, yet when seen in person is an itchy purple polyester blend. The current research seeks to ameliorate this confusion by evaluating various visual conditions that have the potential to lead to disparities between real-world feel and online images. Lighting and material characteristics are two major indicators of fabric, specifically real life look and feel. The angle of lighting and which light source is chosen …

Using Deep Learning To Increase Eye-Tracking Robustness, Accuracy, And Precision In Virtual Reality, Kevin Barkevich

Theses

Algorithms for the estimation of gaze direction from mobile and videobased eye trackers typically involve tracking a feature of the eye that moves through the eye camera image in a way that covaries with the shifting gaze direction, such as the center or boundaries of the pupil. Tracking these features using traditional computer vision techniques can be difficult due to partial occlusion and environmental reflections. Although recent efforts to use machine learning (ML) for pupil tracking have demonstrated superior results when evaluated using standard measures of segmentation performance, little is known of how these networks may affect the quality of …

Medical Detection Dogs: A Visual Exploration Of Canine Olfactory Anatomy & Volatile Organic Compounds As Applied To Non-Invasive Biomedical Detection, Kirsten Santiago

Theses

Medical detection dogs provide a non-invasive early method of disease and medical alert detection that is underrepresented in the medical visualization sector. The domesticated dog, or Canis familiaris, is known for its loving nature and has become an important member of many households, but they are also incredibly intelligent with a capacity for specialized training. Dogs have a specialized olfactory system, allowing them to detect scents with high acuity (Guest & Otto, 20). Volatile organic compounds or VOCs are molecular substances associated with metabolic processes that are often a result or byproduct of certain diseases and can be influenced by …

What Do Future Nutrition Professionals Think About Wic Jobs? A Study Of Nutrition Career Perceptions, Madison Degenfelder

Theses

Background: The Special Supplemental Nutrition Program for Women, Infants and Children (WIC) program faces a critical workforce shortage, yet little is known about the knowledge, attitudes, and beliefs of nutrition students and recent graduates regarding WIC career pathways, requirements, and compensation. Understanding these factors is essential to design strategies to strengthen recruitment and build a sustainable WIC workforce. Objective: To identify and describe knowledge, attitudes and beliefs on entering the WIC workforce among college nutrition and dietetics students and recent graduates. Design: A mixed-methods, sequential study design which included a cross-sectional survey and two focus groups was employed to ascertain …

Software Engineering In The Age Of Coding Agents: Failure Modes And Rejection Patterns, Mahd Mohd Hindi

Theses

This thesis investigates the real-world behavior of LLM-driven coding agents that generate code changes and submit pull requests (PRs) to public software repositories. As these tools evolve from autocomplete-style assistants into more autonomous agents, their contributions increasingly interact with socio-technical review processes (human reviewers, bots, CI/CD gates, and project norms). The thesis focuses on understanding why agent-generated PRs are accepted or rejected and what these outcomes reveal about current agent limitations in practical development workflows.

The main objective of this thesis is to systematically characterize rejection patterns and failure modes of agent-generated pull requests in real repositories. Specifically, the thesis …

The Disney Adult: A Consumer That Creates Free Marketing, Emily Elizabeth Kempf

Theses

This research looks at the evolving complex relationship between the Walt Disney Company, The Disney Adult content creators and the fan base. It focuses on how user-generated content (UGC) and social media can play a large role in contemporary marketing strategies. As the target audience has expanded to include Disney Adult, this new audience has become a central part in the company’s marketing strategy encouraging fan engagement across all social media platforms. This research is a qualitative case study on the Disney Adult and how social media content can be used as a core marketing strategy. The Disney Adult influencer …

Artemisia Gentileschi's Judith And Her Maidservant Serves As A Message Of Hope, Holly Kyseth

Theses

This thesis argues that through iconography and specific artistic techniques, Artemisia Gentileschi’s Judith and Her Maidservant utilizes the biblical story of Judith and Holofernes to relay a distinctly female-centered narrative, reflective of the ideals of her seventeenth century Italian community. This piece stands apart from other representations of this narrative in that Judith was commonly shown as either dainty yet violent in the act of decapitating Holofernes, or as a saintly victor proudly displaying his head to her people. With Judith and Her Maidservant, Artemisia displays an obvious sororal alliance between Judith and her servant Abra, while cleverly implementing Caravaggesque …

Mediators Of The Dead: Funerary Strategies And Material Practice In The Final Jōmon Period, Celeste Marie Tran

Theses

Shakōki-dogū are prehistoric clay figurines from Japan’s Final Jōmon period, characterized by enlarged, goggle-eyed features. In both scholarship writing and museum display texts, generalized thematic labels or iconographic readings sometimes reduce the corpus’s internal variability. This study examines a focused set of Final Jōmon shakōki-dogū from northern Honshū (Tōhoku) and Hokkaidō (Figures 2–6) through their formal and material evidence—shape, surface treatment, and condition—read alongside published excavation reports and catalogue records. It asks what these figurines can be shown to do, as prehistoric artworks, within death-related practice when interpretation is anchored to observable features and documented context, rather than to a …

Art Therapy In The Art Classroom, Sherry Williams

Theses

The integration of art therapy practices within the art classroom provides a transformative framework for supporting the emotional and psychological well-being of students. Research into these strategies demonstrates that creative practices allow students to manage stress and anxiety while fostering mindfulness, reflection, and self-expression. Art educators can create safe and supportive environments by incorporating therapeutic activities such as drawing mandalas, doodling, and engaging in collaborative projects. These methods prioritize the creative process over technical achievement, allowing students to communicate complex feelings that may be difficult to articulate verbally. 

While art teachers are not licensed therapists, they can effectively implement therapeutic …

Parameter Estimation Of Eccentric Binary Black Holes Using Targeted Numerical Relativity Simulations, Patricia Mcmillin

Theses

Gravitational wave events detected by the LIGO-Virgo-KAGRA (LVK) collaboration are the result of compact binary mergers which produce gravitational wave (GW) emission. The observed waveform carries information about the source properties, such as masses, spins, and orbital eccentricity. Events harboring eccentricity upon entrance of the LVK sensitivity band at 10 Hz are believed to have been formed through dynamical channels, where the binary has interacted with other astrophysical objects leading to a merger faster than an isolated binary. Therefore, the identification of eccentric gravitational wave events and accurate determination of their parameters is vital to understanding the population of binary …