Digital Commons Network^™

Improvements On Model-Free Sliding Mode Control’S Implementation And Estimation Techniques, Joshua Coleman

Theses

Systems continue to grow in complexity to meet the demands of today’s society. To control severe nonlinearities and protect against errors in the system model, control methods with wider stability margins are necessary. However, most robust control methods require an increased energy cost to guarantee stability with wider margins. Furthermore, most current control methods are derived using system models, which are difficult to develop for complex systems. Model-Free Sliding Mode Control is promising in overcoming the aforementioned difficulties; the control output is only determined by the system order, previous control values, and state measurements. The control scheme’s characteristics have been …

Combined Virtual Reality And Mechanical Balance Platform System With Induced Visual Roll, Shkenca Demiri

Theses

Balance impairments are a common and widespread concern in human health. Acquired through genetics, aging, illness, or prolonged exposure to different environments such as travel by sea or travel in outer space; balance impairments pose significant challenges to those affected. Traditionally, balance studies have been largely qualitative. However, technological advancements have allowed for new methodologies to be developed for analyzing postural sway in a quantitative manner. In this thesis, custom force plate technology, an advanced inertial motion unit (IMU) motion capture system, and a mechanical motion platform, in tandem with a gamification system, were integrated to collect and analyze quantitative …

Low Cost Combined Camera And Imu Based Control For Autonomous Aerial Orientation Adjustment, Remi Mckenzie

Theses

The goal of this research was to create a robot control system that combines gyroscope and accelerometer data with vision tracking to improve aerial orientation control performance over what could be achieved with sensor data or image processing alone. There has been significant research into the function of mobile robots that can autonomously carry out a wide range of tasks across a wide range of environments. However, the full potential of these robots has yet to be realized, especially at the hobbyist level. Air based travel allows for motion capabilities far beyond that of a robot limited to ground travel …

Towards Human-Embodied Visual Intelligence, Cheng Han

Theses

The rapid development of artificial intelligence (AI) in computer vision has garnered considerable attention across diverse research fields (e.g., image classification, image segmentation, object detection, optical flow, depth estimation). However, this progress is met with an array of challenges that hinder them from real-world deployments. In this paper, three major challenges are discussed: I. Low Task Generalizability. Current visual models are often specifically designed for targeted tasks, constraining their generalizability with varying adaptation scenarios; II. Weak Model Interpretability. Within the paradigm of connectionism, most of these models are frequently regarded as ``black-box'' systems, making them challenging for humans to understand …

Exploring The Functional Significance Of A Yap1 Missense Variant Of Uncertain Significance In Caenorhabditis Elegans, Nathan Jones

Theses

Polycystic ovary syndrome (PCOS) is a complex disorder with various implications, such as polycystic ovaries, visceral obesity, and increased risk of cancer. YAP1 was recently identified as a gene of interest in the development of PCOS. Researchers have established that single nucleotide variants in YAP1 are likely to play a role in PCOS development. This project aims to provide insight into the potential impact of a YAP1 variant of uncertain significance (VUS). Studies in C. elegans have established yap-1 as a nematode ortholog for human YAP1. A YAP1 VUS was identified through ClinVar, YAP1 c.1015A>G (p.Asn339Asp). Evolutionary conservation …

Generation Z’S Perspective On Work-Life Balance: Case Of Kosovo, Lorine Bajrami

Theses

This capstone project examines the perspective of Generation Z in Kosovo toward work-life balance by specifically looking at their preferences regarding flexibility, remote work, and the compromise of work-life balance with other work-related factors. People who are born between 1996 and 2010 belong to the Generation Z cohort, which is characterized by profound digital savviness, mental health awareness, preference for flexibility in workplace, and strong desire to balance work and personal life. The data for analyzing the Gen Z’s perspectives on life work-balance is collected through an online survey (n=174) and two focus group discussions. Global reports and existing research …

Determinants Of Youth Entrepreneurship In Kosovo, Dren Hima

Theses

This research aims to analyze the determinants of the probability of youth in Kosovo becoming nascent entrepreneurs. Kosovo, a young nation with a youth demographic and post-conflict socio-economic challenges, presents a unique context for studying entrepreneurship. The study focuses on the impact of both demographic and perceptual characteristics of the youth on their entrepreneurial orientation. The empirical analysis combines secondary data with primary data collected through an online survey targeting the youth of Kosovo, aged 18-29. It assesses the impact of various factors, including gender, educational background, household income, entrepreneurial experience, and perceptual variables like opportunity perception, fear of failure, …

Impacts Of Professional Development On Researchers, Kayleigh M. Patterson

Theses

In this work, I study the effectiveness of Professional development for Emerging Education Researchers (PEER) using a framework adapted from one that evaluates professional development for teachers. Professional Development (PD) is the process of learning information after one’s main school for job settings. These cover job/career specific skills that are not taught during schooling, since they are normally more specific. While a Ph.D. does set up a lot of specific skills, due to a changing research climate based on discoveries and organizational standards, there are always more skills to learn for a researcher. Therefore, there are professional development for researchers …

Geo-Slam: Using Geometric Hierarchies To Support Localization And Mapping In Forest Environments, Daniel Castellarin

Theses

Robust mapping and localization can be challenging in environments like forests where easily observable landmarks are virtually indistinguishable from each other. In such environments, GPS or robot odometry may also be compromised by the landscape, tree cover, or method of locomotion. Prior work discussed a method for creating geometric hierarchies to describe the relative positions of unlabeled landmarks. Notably, the polygons from these hierarchies were used to perform accurate place recognition from observations containing partial overlap and sensor noise. Here, we use geometric hierarchies to perform robust data association for collections of virtually identical 2D landmarks in direct support of …

Implications Of Ai Adoption On Kosovo’S Tech Smes, Agullina Shllaku

Theses

This study explores the impact of Artificial Intelligence (AI) on small and medium-sized tech enterprises (SMEs), namely the extent to which these SMEs are investing in AI technologies, and how that will impact the organizational structure of those SMEs. While most of Kosovo’s tech SMEs have started to engage with AI to some extent, the demand for such services is much lower compared to global levels. This study identifies investment strategies prominent in SMEs, as well as their initiative to internal restructuring instead of hiring. Through a mix of qualitative and quantitative data, this study generates relevant insights from employees …

Souls Of Plants, Yuanyuan Li

Theses

In creating fictional relationships with organisms within the plant world, I design jewelry and wearable sculptures that heal the individual, by relating to the poetic and peaceful nature of plants. The works involve the use of metal crochet, forging, screen printing, and fabric dying to create my relationship with plants, through narrative, and nostalgic stories. These stories between me and plants began in my childhood and continue to this day.

The Effect Of Angiogenesis On Thermal Properties Of In-Vivo Human Tissue, Shriya Musuku

Theses

Bioheat transfer is the study of heat transfer in biology. There are several sources of heat in biology including external ones such as surgical applications of heat, or internal ones like cancer tissue. Blood flow networks affect both types of processes and are often generated during disease phenomenon through a process called angiogenesis. This affects the properties of the tissue. Several attempts were made to model flow and heat transfer within various tissues through physical measurements or computer simulations. Both types of models used bioheat transfer models do not consider the geometry of vasculature at its most fundamental level. The …

Designing An Animated Presentation For Educating Physicians And Patients On Opioid Addiction, Jenny Phillips

Theses

The devastating opioid epidemic in the United States continues to wreak havoc, especially on those suffering from opioid addiction. Regrettably, the lack of reliable treatments and understanding of this disease has hindered physicians' ability to provide adequate care. As a result, those affected often feel ashamed and reluctant to seek help due to the growing stigma surrounding opioid addiction. These barriers prevent the successful treatment of this prevalent and treatable disease. To tackle this issue, Dr. Michael Peck and his team have been essential in traveling to different communities and illustrating the truth about opioids and opioid addiction. They developed …

Iii-Nitride Nanowire Deep-Ultraviolet Light Emitting Diodes, Bryan Melanson

Theses

Deep-Ultraviolet (DUV) Light Emitting Diodes (LEDs) emitting invisible light at wavelengths below 280 nm, have seen increased research interest over the last decade. Of their many potential applications, pathogen neutralization is perhaps the most presently relevant in the post-COVID era. While the high energy light of DUV LEDs has been found particularly effective at destroying viruses and bacteria without the need for application of chemical agents, the poor efficiencies of DUV LEDs currently prevent their widespread adoption in these applications. While a number of factors contribute to the poor efficiency of DUV LEDs, light extraction is perhaps the most significant …

Ego - Acupressure Ar Glasses, Chin Yin Teng

Theses

Acupressure, a time-honored healing practice rooted in traditional Chinese medicine, is known for promoting relaxation, pain relief, and overall wellness with minimal side effects. Despite its benefits, the practice involves navigating a complex system of 361 acupuncture points, posing a challenge for individuals lacking in-depth knowledge or training. Additionally, professional acupressure treatments can be costly, limiting accessibility. To address these challenges, we have developed Ego, an AR Glasses Smart Assistant designed to make acupressure more accessible and effective for the general public. Ego uses augmented reality to provide an intuitive and user-friendly interface that guides users in locating and applying …

Using Machine Learning Algorithms To Predict Outcomes Of Chess Games Using Player Data, Sofia Decredico

Theses

Chess is a two-player game, popular with a wide variety of people, ranging from people who play casually every once in a while with their family to professional players who make their living through playing and teaching. There are three outcomes that a chess game could have: player 1 (White) wins, player 2 (Black) wins, or both players draw. Using an online database called “The Week In Chess” which contains information about 2.5 million chess games, a variety of machine learning methods are tested to predict the outcomes of chess games. The features investigated as inputs for classification are: White’s …

Towards A Net Zero University Campus, Sarah Ali

Theses

This report explores the greenhouse gas (GHG) emissions assessment and reduction strategy for the Rochester Institute of Technology of Dubai (RITD) campus, aiming to contribute towards the UAE's "Net Zero 2050" initiative. The study establishes a comprehensive emissions baseline for the year 2023 using the Greenhouse Gas Protocol (GHGP), incorporating Scope 1, Scope 2, and Scope 3 emissions. A dashboard was developed to continuously monitor annual emissions, facilitating data-driven decisions for sustainability. The total GHG emissions for RITD were approximately 5,245,197.68 kg CO2e. The primary sources of emissions were identified as electricity consumption (39%) and commuting (53%), which together constitute …

Clinical Validation Of Patient-Specific Inverse Modeling With Surface Temperatures And Physiological And Geometrical Factors In Breast Cancer Detection, Carlos Gutierrez

Theses

Breast cancer is one of the most common cancers affecting the lives of many women and taking over 683,000 lives worldwide. Early detection of breast cancer through screening has been instrumental in reducing the mortality rate. However, current screening methods based on mammography have issues with patient discomfort, invasiveness, cost and low accuracy, mainly due to dense breast tissue in approximately 40% of women population. Infrared imaging (IRI) is shown to be noninvasive, cost effective, comfortable, and not affected by breast density. The present work describes a novel patient-specific IRI inverse heat transfer algorithm based on the digital model of …

Modeling The Reverberation Response Of The Broad Line Region In Active Galactic Nuclei, Sara A. Rosborough

Theses

The supermassive black holes (SMBHs) that reside at the centers of massive galaxies are observed as active galactic nuclei (AGN) when they are rapidly consuming matter from a surrounding accretion disk, which releases large amounts of electromagnetic radiation. Closely surrounding this engine are the dense gas clouds of the broad line region (BLR), which are photoionized by the continuum radiation emitted by the accretion disk. As these clouds are deep within the potential well of the SMBH, the gas emission lines (the broad emission lines; BELs) are Doppler-broadened by several 1,000 km/s. Measuring the size and velocity dispersion of the …

Multimodal Data Fusion And Model Compression Methods For Computer Vision, Manish Sharma

Theses

This dissertation explores the advanced integration of deep learning (DL) techniques in remote sensing (RS) and computer vision (CV), with a focus on optimizing convolutional neural networks (CNNs) for enhanced detection performance and efficient computational deployment. The first part of the research addresses the underperformance of conventional object detection methods when applied to RS data. Traditional techniques often struggle due to the small size of targets, limited training data, and diverse modalities involved. To overcome these challenges, we introduce YOLOrs, a novel CNN designed specifically for real-time object detection within multimodal RS imagery. YOLOrs is adept at detecting objects across …

Sustainable Energy Access And Irrigation Planning In Sub Saharan Africa, Fhazhil Wamalwa

Theses

Sub-Saharan Africa (SSA) is the least developed and most vulnerable region to climate change globally, with electricity access and irrigation rates at 45% and 5%, respectively. The region's high reliance on rain-fed farming results in significant yield gaps, increasing dependence on food imports and aid. Projected declines in rainfed agricultural productivity due to climate-induced rainfall variability, coupled with a rapid population growth rate of 2.8% per year, will likely exacerbate food insufficiency. SSA is largely rural, with an urbanization rate of 42%. Much of its population lives in sparsely populated settlements characterized by low electricity demand, which poses a significant …

Optimization Methods For Parameter Estimation In A Scalar Partial Differential Equation: Stochastic Variants, Yidan Yang

Theses

In this work, we present stochastic variants of an optimization method for the problem of recovering a spatially varying parameter in a scalar partial differential equation (PDE) from measurement(s) of the state variable. In many inverse problems associated with PDE models, the goal is to utilize observational measurements of the state variable in the estimation of the model parameter(s). In the problem being studied, the hydraulic conductivity of an aquifer (a function of location) is the parameter/coefficient to be recovered and the hydraulic (or piezometric) head is the quantity observed/measured. We discuss the choices of objective functional (such as output …

Heat Sink With Fins And Phase Change Material For Cooling Of High-Power Electronic Devices, Farooq Fakher Mahmoud

Theses

Electronics are integral to modern life, present in everything from household appliances to advanced computers. The performance and reliability of these devices are closely tied to their operating temperatures. High-power operations can lead to significant heating, necessitating effective thermal management to enhance functionality and prevent failure. This requirement drives the demand for efficient heat sinks, which dissipate the heat generated by these devices. Phase change material (PCM)-based heat sinks have become a popular passive cooling solution, increasingly replacing traditional heat sinks.

This research investigates finned PCM-based heat sinks using numerical simulations validated by existing literature and experimental data. Gallium is …

Functional Characterization Of Potato Arp1 Gene Encoding Auxin-Repressed Protein, Sara Ali Alneyadi

Theses

Auxin-repressed proteins (ARPs) are conserved in higher plants and are involved in plant growth and development by controlling gene expression. ARP1 has been studied for its role in biotic stress response, but its role in abiotic stress response remains unclear. In this study, transgenic Arabidopsis plants expressing potato (S. tuberosum) ARP1 were evaluated for their salinity stress response. By gradually increasing NaCl concentrations from 0 to 200mM, plants were subjected to high salinity stress. As compared to wild-type (WT) control plants under stressed conditions, the ARP1 transgenic plants demonstrated improved height and root length and higher chlorophyll content. Under …

The Impact Of Outdoor Thermal Comfort On Users’ Walkability: Study Case In Al Ain Square, Al Ain City, Uae, Alyazia Saeed Alnehayan

Theses

Living in a hot dry arid climate limits the walkability of its inhabitants. The excessive heat and dryness of the weather undoubtedly make walking a less tempting, encouraging, and pleasant choice for getting around the city. For that reason, this master thesis analyzes the various strategies used to enhance outdoor thermal comfort. Outdoor thermal comfort is controlled by numerous factors, including street and building orientation, vegetation, shading devices, and water bodies. The purpose of this study is to examine the relationship between walkability and UTCI values (universal thermal comfort index) in the context of Al Ain Square, a neighborhood in …

Mathematical Modeling Of An Epidemic In Scalefree Network With Imperfect Vaccination, Heba Hameed

Theses

In light of the recent COVID-19 pandemic, the mathematical epidemiological model has proven to be essential for understanding the disease dynamic and finding the best control tool to help contain the disease and minimize its impact. This thesis investigates the dynamics of an infectious disease spread with latent infection and vaccination. The aim is to study this model’s dynamic in a network that reflects the heterogeneity of the environment where the disease spreads. The vaccination is assumed to be not perfect, which means that vaccinated persons are likely to be infected and that the vaccinated person could lose their immunity, …

Performance Analysis Of Underground-To-Aboveground Communication In Agricultural Iot Networks, Irfana Ilyas Manzil

Theses

This thesis investigates the potential of LoRa, a low-power, wide-area networking technology, for establishing reliable communication between underground sensors and aboveground infrastructure. We comprehensively analyze LoRa's performance in both single-hop and multi-hop configurations, considering the impact of diverse environmental factors such as soil composition, moisture content, underground transmission distance, and path loss on signal propagation. We delve into the crucial role of the spreading factor (SF) within the LoRa communication system, analyzing its influence on network performance. Furthermore, we develop a comprehensive mathematical model for bit error rate (BER) under various channel conditions, including additive white Gaussian noise (AWGN) and …

Fish-Eye Camera-Based Real-Time Pedestrian Crossing Predicting System, Mohammed Abdulla Almesafri

Theses

Fisheye cameras are widely used in traffic monitoring for their broad view, yet their distortion challenges deep-learning models in pedestrian detection and tracking. Despite available datasets like FishEye8K, collected in Hsinchu, Taiwan, and the availability of several studies that have delved into pedestrian prediction systems, a notable gap remains: the absence of datasets specifically designed for the cultural context of the UAE. This study aims to address this gap by introducing an in-house fisheye dataset tailored to enhance the prediction and tracking of pedestrians in fisheye footage within the UAE's environment. The present study addresses the development of a Graphical …

Topological Indices And Their Applications In Designing Drugs, Fedaa Ismail Abunawa

Theses

This research delves into the use of indices, in the field of drug design with a specific focus on anticancer medications. Topological indices, values derived from representations of chemical structures provide meaningful connections to the physical and chemical characteristics of molecules. These Indices act as tools for predicting behavior playing a vital role in crafting therapeutic drugs. The study primarily delves into topological indices like the Sombor index, Randi´c index, and Atom Bond Connectivity (ABC) index, which are calculated for structures and their relationships with physical properties such as molar volume, refractive index, and flash point are explored using statistical …

Securing The Inbox: Advancing Phishing Email Detection With Fine-Tuned Bert, Fatima Rashed Al Saedi

Theses

In recent years, phishing attacks have persisted as a widespread threat in the contemporary digital environment, presenting substantial risks to individuals and organizations. Cybercriminals are devising increasingly sophisticated strategies to deceive users through malicious emails. In response to this challenge, this research focuses on developing a new tool for detecting phishing emails utilizing the BERT algorithm. The tool aims to enhance email security by accurately identifying deceptive emails and protecting users from potential cyber threats. The primary objective of this study is to investigate how leveraging the BERT algorithm can improve the detection of phishing emails compared to traditional methods. …