Digital Commons Network^™

Digital Microfluidic Oligonucleotide Synthesis: Automated Assembly Of Dna Products In Air And Oil With Integrated On-Chip Incubation, Sari Houchaimi

Theses

Production of accurate DNA products is essential for many biological applications including drug development and delivery, synthetic biology, molecular engineering and epigenetics. It is difficult to build long DNA chains accurately and repeatably with conventional methods such as phosphoramidite method and polymerase chain assembly. DNA aqueous enzymatic assembly is a promising alternative. Multiple DNA fragments can be reliably and consistently assembled into one product using engineering enzymes in an aqueous medium. Digital Microfluidics uses asymmetric electric fields to simultaneously manipulate multiple reagent droplets on an array of electrodes. This platform is biocompatible and easily controllable. It has been used for …

Adapting Emergency Response: A Nationwide Study Of Disability Accommodation Practices Among Local Emergency Managers, Iskender Mambetkadyrov

Theses

Local emergency management agencies (EMAs), who are critical in disaster response and management in the US, frequently underserve their constituencies who identify as people with disabilities (PWD) and, more specifically, as deaf and hard of hearing (DHH). These shortfalls have still persisted even after policies such as the Americans with Disabilities Act have passed in an attempt to bridge these gaps. This thesis aims to explore the organizational actions & strategies local EMAs have taken towards disability inclusion, the barriers they run into, and explore whether increases in general disability-inclusive actions lead to increased DHH-specific inclusive actions to steer local …

Ai-Powered Pedagogy: Revolutionizing Students’ Learning Experiences Through Integration Of Ai Technologies, Amna Awad Alsaedi

Theses

This research examines the integration of Artificial Intelligence (AI) within the educational sector with the aim of enhancing student learning outcomes. AI offers tailored learning experiences, interactive educational content, prompt feedback, and access to diverse learning resources. Nonetheless, challenges including addiction, costliness, privacy infringement, bias, ethical dilemmas, market competition, and moral considerations require resolution. Research particularly delves into the utilization of chatbots, and algorithms designed to simulate human interactions and generate text resembling human speech. Educational applications powered by AI have the potential to heighten student engagement, comprehension, and academic performance by substituting traditional assignments with concise, information-rich lessons. Furthermore, …

Corrosion Behavior Of 304 Stainless Steel In H2so4/Nacl In The Absence And Presence Of Molybdate And Tungstate, Asma Yousef Alkaabi

Theses

In this study, the corrosion behavior of 304 austenitic stainless steel was investigated in H₂SO₄ solutions, H₂SO₄ as a function of Cl^- ions concentration, H₂SO₄ as a function of MoO4^2- ions concentration, and H₂SO₄ + Cl^- ions as a function of MoO₄^2- ions concentration. Moreover, the synergistic inhibition of MoO4^2- and WO₄^2- ions was investigated in 0.1 M H₂SO₄, with the solution pH adjusted to 3.0. The findings show that the corrosion current density (i …

Assessing The Spatiotemporal Variability Of Aerosol Optical Depth And Particle Sizes In The Uae Atmosphere Using Remotely Sensed Data, Bashayer Ali Alzahmi

Theses

This thesis investigates atmospheric aerosol concentrations, with a particular focus on the United Arab Emirates (UAE). The study maps the spatial and temporal variations in Aerosol Optical Depth (AOD) and characterizes aerosols using high-resolution Moderate Resolution Imaging Spectroradiometer (MODIS) products. The primary objective of this research is to enhance the understanding of aerosol dynamics in the UAE by distinguishing between natural and anthropogenic aerosols through the Angström Exponent (AE) and assessing their impacts on local climate, air quality, and public health. The study employs Remote Sensing (RS) techniques to conduct detailed environmental assessments, analyzing AOD variability across daily, monthly, seasonal, …

Utility Of New Remote Sensing Data In Evaluating The Hydrological Response To Land Use And Land Cover Changes, Chithrika Jayamini Alawathugoda

Theses

Land use and land-cover (LULC) changes have profound impacts on hydrological responses, influencing runoff dynamics and flood risks. This study focused on two contrasting watersheds undergoing rapid LULC transformations: the arid Wadi Ham watershed in the UAE and the tropical Imphal watershed in India. The research emphasized the critical role of accurate LULC data for hydrological modeling in climate-sensitive regions, where land-use changes are accelerating. Using high-resolution PlanetScope and Sentinel-2 satellite imagery, LULC maps were developed and classified using Maximum Likelihood (ML) and Random Forest (RF) algorithms. PlanetScope imagery paired with the RF classifier achieved the highest overall accuracy, with …

Exclusion Tests For Approximating All Solutions Of Nonlinear Equations, Yasmeen Omar Hamida

Theses

The exclusion test is a mathematical technique used to isolate and approximate the solutions of nonlinear equations within a specified interval. This thesis aims to construct a new test leveraging the principles of the exclusion test to achieve faster convergence to the zeros of any given interval within a compact domain. By selecting an alternative objective function and employing nonlinear equations, the proposed method significantly reduces the number of subintervals required for accurate approximation. The key finding of this research is the development of a more efficient algorithm that enhances the speed of convergence. The implications of these findings are …

Automating Modular Construction Manufacturing For Affordable Housing, Enaam Mohammed Ouda

Theses

In recent years, there has been an increase in the frequency and intensity of natural disasters worldwide, resulting in loss of life, displacement, and extensive property damage. According to the UNHCR's report, 122.6 million individuals were displaced by mid-2024, highlighting that the speed and volume of displacement exceeds the availability of solutions for those affected. To address the urgent need for affordable housing solutions, modular construction is preferred over traditional construction methods as it tackles limitations such as long project durations, high costs, and safety and environmental concerns. Integrating advanced technologies in modular construction can further enhance its benefits and …

Effect Of Virtual Reality Technology On Computer Science/Engineering Based Laboratories Education – A Case Study, Mariam A. Al Nuaimi

Theses

Virtual reality (VR) is becoming increasingly popular and essential in education as institutions strive to incorporate technology in education. In Engineering and Computer Science, students face difficulties in comprehending many abstract complex concepts that are typically studied in Labs. This situation worsens with hardware failure and the lack of pedagogical tools. The main goal of this paper is to investigate the impact of VR environments on learning advanced and complex STEM concepts. We also explore the impact of different human-computer interaction (HCI) techniques including gamification on the learning experience of STEM students. To measure such impact, we developed a VR …

Effect Of Virtual Reality Technology On Computer Science/Engineering Based Laboratories Education – A Case Study, Saeed Salem Al Shebli

Theses

The rapid growth in mobile applications raises critical concerns about the security of apps and users' privacy, especially in permission control. Mobile apps access sensitive information of users, and the current cybersecurity landscape faces a huge challenge in ensuring the least required permissions are granted. This research focuses on designing an advanced permission recommendation system that couples the strengths of Natural Language Processing (NLP) and Machine Learning (ML) in solving most of the existing gaps in permission management, thus guiding which permissions are mostly needed by Android applications.

The research thus follows a multi-classification approach, integrating state-of-the-art ML techniques with …

A Secure And Effective Framework For Key Concept Mining From Educational Content Using Large Language Models, Ashika Sameem Abdul Rasheed

Theses

This thesis examines the use of Large Language Models (LLMs) in education, with a focus on improving performance and implementing strong security measures. The research has two main goals, namely, the development of an effective lecture summarization technique using LLMs and identifying and addressing security vulnerabilities in LLM applications according to OWASP (Open Web Application Security Project) guidelines. For the former goal, we have proposed an effective framework for fine-tuning LLMs using real lecture datasets and compared the performance of different LLMs. For the latter goal, we conducted a thorough review of the application dataflow of the proposed framework and …

Cultivation Of Food And Fodder Crop Millets And Quinoa In The Aquaponics System For Sustainable Food Security In The United Arab Emirates, Salama Yousef Al Khoori

Theses

Aquaponics is a sustainable food production technology that integrates aquaculture with hydroponics. This study aimed to evaluate the possible impact of an aquaponics system on the cultivation of pearl millet, finger millet, and quinoa, utilizing water from tilapia aquaculture. The duration of the experiment is six months utilizing the manually constructed backyard aquaponics system. Tilapia fish serves as the principal biological material for nutrient generation in the experiment. This study investigated and recorded water quality indicators, including pH, temperature, dissolved oxygen, electrical conductivity, total dissolved solids, ammonia, nitrite, and nitrate levels over the experimental period. The parameters of fish growth, …

Kinetics, Thermodynamics, And Biological Characterizations Of Hydrolysates Enzymatically Produced From Proteins Extracted From Microalgae, Hebah Al-Amodi

Theses

This thesis aims to explore the use of Zeolitic Imidazolate Framework-L (ZIF-L) as a support for immobilizing alcalase and its potency in producing protein hydrolysates. ZIF-L was synthesized at room temperature using an aqueous solution, and alcalase was immobilized through adsorption batch experiment. The successful immobilization of alcalase on ZIF-L was confirmed through Fourier-transform infrared spectroscopy (FTIR), X-ray diffraction (XRD), scanning electron microscopy (SEM), and thermogravimetric analysis (TGA). The maximum adsorption capacity of alcalase on ZIF-L was determined to be 672.1 ± 5.5 mg g^-1 at 40°C using an initial protein concentration of 5 mg mL-1. Adsorption equilibrium data …

Comparison The Impact Of Co2 And Uvb On Moringa Peregrina And Moringa Oleifera Growth Under Open Top Chamber, Omar Mohammed Alshehhi

Theses

Climate change has had a tremendous impact on ecosystems, with an apparent connection between farming methods and environmental change. Climate change has a substantial effect on both abiotic and biotic factors that affect crop plants. The increasing number of abiotic stressors has highlighted the impact of global warming on plant productivity. This study compared and evaluated the abiotic stress resistance of two Moringa species (Moringa oleifera and Moringa peregrina) to UV radiation, increased CO₂ levels, and their combined effects. The evaluation mainly focused on key morphological features, including plant height (cm) and fresh and dry weights, to assess …

Evaluating The Feasibility And Efficacy Of 3d Printing Versus Traditional Construction Techniques: A Study Of Cost, Time And Energy Of A New Lowrise Office Building On The Uaeu Campus, Hala Mohammed Basel

Theses

In line with the forward-looking vision of the United Arab Emirates University (UAEU), this research evaluates the feasibility and effectiveness of 3D printing technology compared to traditional construction methods, focusing on cost, time, and energy efficiency for a new low-rise office building on the UAEU campus. With the growing number of PhD students in the Architectural Engineering Department, expanding office space has become a priority. This study explores how 3D printing technology, known for its sustainability, reduced material waste, and accelerated construction, can address these challenges more efficiently than conventional methods.

Guided by the UAE Vision 2030, which focuses on …

Evaluation Of Opportunities For The Cultivation Of Heterotrophic Plant Root Organ Cultures As Food: Optimization Of Culture Conditions And Carbohydrate Sources, Fatima Mohammed Alkaabi

Theses

All agricultural plant production requires investment of water, energy, and land, especially in the Gulf Region, where environmental conditions are not ideally suitable for crop farming. Currently, less than 40% of agricultural plant biomass production constitutes food, which greatly limits the overall feasibility of food production systems worldwide. Crop residues constitute over half of global agricultural biomass, and food waste and biomass from public parks and gardens further add to the vast pool of non-edible plant material. Existing valorization strategies for such material cannot compensate for the enormous amounts of water, energy, land, and human resources invested in their production. …

Developing Policies For Digital Twin Data Quality And Security Controls, Ahmad Abdelbaset Hassan

Theses

This thesis is concerned with the data quality and security of the digital twin and how it is going to impact its adoption, trustworthiness, and potential for real-world applications. By addressing the potential vulnerabilities and ensuring the integrity of data, this research aims to contribute to the development of robust and trustworthy digital twin policies that to complement the existing international standards across different domains. Moreover, it underscores the important need to establish robust policies to ensure the successful and secure deployment of digital twins across industries. Previous research, while valuable, may not have fully addressed the critical interplay between …

Analysis, Design, And Experimental Validation Of The Thermal Subsystem Of Alainsat-1 Cubesat, Ameereh Seyedzadeh

Theses

This thesis investigates the thermal management techniques of AlAinSat-1 during extremely harsh space conditions. It presents a comprehensive analysis of its thermal behavior using numerical techniques and validates the CubeSat's survivability in space via experimental testing. AlAinSat-1 is a nanocube-shaped satellite carrying Earth observation payloads, including RITA (Remote sensing and Interference detector with radiome-Try and vegetation Analysis) and Locana. Understanding how the CubeSat behaves in harsh space conditions and maintains thermal stability during its mission is critical to its success. The main aim of this study is to employ finite element analysis (FEA) techniques to simulate the thermal behavior of …

Design And Implementation Of Attitude Control System For Gnssas 6u Cubesat, Anoud Nasser Alkatheeri

Theses

This thesis presents the design and simulation of the Attitude Control System (ACS) for the GNSSaS 6U CubeSat, developed by the National Space Science and Technology Center (NSSTC) at UAE University. The CubeSat's mission is to enhance GNSS signal accuracy, which requires precise attitude control to achieve this objective. The ACS utilizes magnetorquers and reaction wheels for actuation. The primary objective of this thesis is to design an ACS that fulfills the mission’s performance requirements, including maintaining pointing accuracy in both fine and medium pointing modes. To achieve this, a comprehensive disturbance analysis was conducted, leading to the selection of …

Dubai Urban Planning 2040: Resource Requirements In The Urban District 5, Bakhit Alfalasi

Theses

The availability of water, food, energy and air quality resources is compromised by prevailing global issues like environmental stress, climate change, and population growth. This research study details the different requirements for Dubai urban District 5 based on the tenets laid out in the Urban Planning 2040 initiative. The literature review section looks into existing literature on the present state of affairs in the UAE as regards availability of water, food, and energy resources in the country and implications of their production processes on air quality. The Study will employ an exploratory research design, where a systematic review of literature …

Monitoring The Seasonal Presence Of The Blue Shiner, Cyprinella Caerulea, In Little River Canyon National Preserve Using Environmental Dna, Deanna Meadows

Theses

The study of environmental DNA (eDNA) has provided researchers with a more accessible and sensitive way to identify the presence of specific species compared to traditional monitoring methods. eDNA enables species detection by analyzing environmental samples such as water or soil, which contain genetic material shed by organisms in a given area. Research indicates that eDNA techniques have become a valuable method for monitoring threatened and invasive species, proving particularly reliable for detecting aquatic species compared to traditional techniques. Quantitative PCR (qPCR) has been used in numerous eDNA studies, as it provides for greater accuracy than conventional PCR. Cyprinella …

Predictive Rescue System Through Real-Time Accident Monitoring Leveraging Artificial Intelligence, Humaid Ahmad Al Falasi

Theses

The research develops a robust AI-powered predictive system utilizing convolution neural networks (CNNs), IoT-enabled devices, and advanced machine learning (ML) models to improve real-time monitoring, resource allocation, and decision-making. The proposed system aims to minimize emergency response times, optimize resource allocation, and enhance public safety. Using machine learning models such as convolution neural networks (CNNs) and random forests, the system integrates IoT devices, traffic cameras, and deep learning algorithms to enable proactive incident management and efficient decision-making. A methodological framework based on CRISP-DM guides the project, encompassing historical data analysis, system modeling, and evaluation against real-world data from UAE traffic …

Predicting Consumer Churn In Telecommunications, Amna Yousef Almatrooshi

Theses

The telecommunications industry is highly competitive, with consumer churn being a significant concern due to market saturation. Churn, or customer attrition, refers to customers leaving a service provider due to dissatisfaction or better offers from competitors. This phenomenon is particularly impactful in the telecom sector, where retaining customers is more cost-effective than acquiring new ones. To address this issue, telecom companies increasingly rely on machine learning techniques to predict customer churn and implement strategies to retain at-risk customers. The study highlights the importance of understanding the factors contributing to customer churn, including service quality, pricing, customer service interactions, and competition. …

Assessing The Effectiveness Of Law Enforcement Strategies In Combating E-Crime Using Ai, Mohammad Ahmad Alkhazraji

Theses

The rise of e-crime, particularly international online scams, has presented significant challenges to law enforcement agencies around the world. Scams have become transnational, exploiting the internet's interconnectivity to deceive victims from different countries. Law enforcement agencies have a severe uphill battle in trying to combat these types of crimes because of technological and jurisdictional limitations and resource accessibility. This research has analyzed the effectiveness of current policing against international online scams, focusing on the challenges encountered thus far and possible solutions. The critical research objectives revolve around assessing law enforcement agencies' present strategies, identifying the main barriers that these agencies …

Performance Evaluation Of Ai-Based Healthcare Systems In The United Arab Emirates: A Comparative Analysis Of Diagnostic Accuracy And Predictive Capability Using Spss, Hamad Ismail

Theses

This research investigates the opinions and experiences of United Arab Emirates (UAE) healthcare personnel on artificial intelligence (AI)-based technology. Successful application and integration depend on a knowledge of the viewpoints of people at the front-line of patient care as artificial intelligence technology progressively enter healthcare contexts. Combining advanced statistical analysis with quantitative questionnaires using a mixed-methods approach, the study presents a whole picture of artificial intelligence opinions across several healthcare environments and UAE geographical areas. The study revealed a topography of opinions on artificial intelligence in the healthcare sector that is complicated. Though views varied widely based on their employment, …

The Use Of Puffed Rice Biomaterial As An Insulation Layer: Characterization And Simulation Study, Nicolas Monje Mejia

Theses

Upon close examination in this study, the feasibility of utilizing puffed rice as an insulation layer for construction is explored. Regions that are warm and receive direct sunlight experience heightened temperatures, which can lead to structures trapping excessive heat, resulting in increased cooling demands, energy consumption, and higher costs all around. As revealed via findings from research conducted over time, puffed rice showcases immense prospects when employed as insulation considering its high level of percolation coupled with low thermal conductivity rates. Conversely, conventional materials tend to have better-quality properties like greater compressive strength than what one sees here, along with …

Writing A Course Guide “Fashion Design: A Guide To The Apparel Industry”, Rosemary P. Durfee

Theses

This project focuses on improving course materials for the author, among others, to use as a teaching resource for undergraduate apparel design students. The primary focus is to compile information from various resources and industry knowledge gained first-hand by the author. This project aims to create a course guide that can easily integrate with current Fashion Design and Merchandising courses taught at the college level.

An Edge Platform Streamlining Connectivity Between Modern Edge Devices And Cloud, Anderson Carvalho

Theses

The numerous uses of cloud, fog, and edge computing in a variety of industries are thoroughly examined in this thesis, with a special emphasis on smart factories, smart cities, and smart agriculture. It starts with an introduction to cloud computing, going over its history, importance in contemporary digital infrastructures, and related security concerns. It emphasizes the value of cloud computing for processing and storing data while addressing issues like guaranteeing low latency applications and possible improvements from container technologies. The conversation then shifts to fog computing, going over its history, designs, and uses. It focuses on how fog computing might …

Scattering Spectroscopy Of Granular Media For Remote Sensing Applications, Chris H. Lee

Theses

The reflectance of a surface depends not only on the physical characteristics of the medium, but also on the geometry of how the surface is illuminated and viewed. Remote sensing data of a surface at multiple illumination and/or viewing angles can provide additional information that we can use to retrieve the physical properties of the surface and/or underlying medium as opposed to remotely sensed data at a single geometry. In this work, I characterized different aspects of angular reflectance, or scattering, spectroscopy of granular media for remote sensing applications. I applied polarimetry to various samples of olivine sand as a …

Integration Of Blockchain And Machine Learning For Robust Intrusion Detection In Iot Network, Saeed Al Banna

Theses

This thesis explores the integration of blockchain technology and machine learning techniques to enhance cybersecurity in IoT networks. An intrusion detection system (IDS) framework is proposed, leveraging the decentralized, immutable, and transparent features of blockchain with the predictive capabilities of machine learning. The study utilizes the CICIoT2023 dataset, which has 33 diverse attack types on 105 devices, to evaluate five machine learning models: Random Forest, MLP, CNN, and RNN and a Hybrid RF/MLP Model. The Random Forest and MLP models demonstrated superior performance across multi-class, grouped, and binary classification tasks. Blockchain technology is integrated to securely log detected anomalies, to …