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Developing Policies For Digital Twin Data Quality And Security Controls, Ahmad Abdelbaset Hassan
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 …
Assessing The Spatiotemporal Variability Of Aerosol Optical Depth And Particle Sizes In The Uae Atmosphere Using Remotely Sensed Data, Bashayer Ali Alzahmi
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, …
Effect Of Virtual Reality Technology On Computer Science/Engineering Based Laboratories Education – A Case Study, Mariam A. Al Nuaimi
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 …
Kinetics, Thermodynamics, And Biological Characterizations Of Hydrolysates Enzymatically Produced From Proteins Extracted From Microalgae, Hebah Al-Amodi
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 …
Unital Kadison-Schwarz Type Of Maps, Hajir Khalid Al Zadjali
Unital Kadison-Schwarz Type Of Maps, Hajir Khalid Al Zadjali
Theses
Quantum entanglement is an important phenomenon in quantum information theory; its uses range from quantum teleportation and quantum cryptography to solving classical communication problems. One of the issues concerning entanglement is the classification of mixed states into separable states. Positive maps define affine mappings between sets of states of C∗algebras, and have been used to develop a separability criterion for quantum states. Completely positive maps are insensitive to entanglement detection, a weaker notion of positivity is thus needed to detect them. This condition that is stronger than positivity but weaker than complete positivity is given by the Kadison-Schwarz (KS) inequality. …
Quantum Markov Chains Related To Certain Lattice Models, Ali Ghaleb Alaali
Quantum Markov Chains Related To Certain Lattice Models, Ali Ghaleb Alaali
Theses
A central open problem in quantum probability is the establishment of a general theory of Markov fields. This thesis contributes to the general theory by introducing quantum probability and applies it via the construction of quantum Markov chains on different hierarchical lattices (Cayley trees). This thesis examines two types of trees one of which corresponds to the Ising-XY-Model on a Cayley tree of order two which then the existence of Markov chains can be utilized to detect phase transitions. The other discussed model is a (1,3) tree in which the XY-model is considered to determine the existence of a quantum …
Corrosion Behavior Of 304 Stainless Steel In H2so4/Nacl In The Absence And Presence Of Molybdate And Tungstate, Asma Yousef Alkaabi
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 MoO42- ions concentration, and H2SO4 + Cl- ions as a function of MoO42- ions concentration. Moreover, the synergistic inhibition of MoO42- and WO42- 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 …
Solvent- And Temperature-Controlled Regioselective Catalytic Synthesis Of Potentially Bioactive, Sara Helmy Saada
Solvent- And Temperature-Controlled Regioselective Catalytic Synthesis Of Potentially Bioactive, Sara Helmy Saada
Theses
Isothiocyanates play a crucial role as essential components in the development of effective synthetic methods for producing key chemical intermediates and biologically active molecules. Similarly, N-arylcyanothioformamide compounds have been employed to create structural cores for numerous heterocycles in a one-step reaction. In this study, we describe the first consistent regiospecific reaction of isothiocyanates with a variety of substituted N-arylcyanothioformamides in a 1:1 molar ratio to generate a series of imidazolidineiminodithiones decorated with a multitude of functional groups on both aromatic rings. The reaction is carried out at room temperature using a 20 mol% catalytic amount of triethylamine with …
Effect Of Virtual Reality Technology On Computer Science/Engineering Based Laboratories Education – A Case Study, Saeed Salem Al Shebli
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 …
On Fractional Dunkl-Type Laplacian, Saba Ibrahim Aldan
On Fractional Dunkl-Type Laplacian, Saba Ibrahim Aldan
Theses
This thesis presents a comprehensive study of the fractional Dunkl-type Laplacian operator (−∥x∥ Δ��)σ for 0<σ<1, through four equivalent key characterizations: the heat semigroup characterization, the pointwise characterization, the spherical mean characterization, and through an extension theorem. These characterizations offer different perspectives on the operator ∥x∥Δ��, generalizing known results for the Euclidean Laplace operator by incorporating reflection symmetries, making it highly relevant in the harmonic analysis of root systems.
By exploring these characterizations, the thesis highlights the deep connections between the fractional operator (−∥x∥Δ��)σ and harmonic analysis, as well as its broader applicability in mathematical physics and partial differential equations.
A Secure And Effective Framework For Key Concept Mining From Educational Content Using Large Language Models, Ashika Sameem Abdul Rasheed
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 …
A Novel Approach To Predicting Particle Deposition In A Human Lung Using A Lumped, Oscillatory Respiratory Model, Jordana E. O'Brien
A Novel Approach To Predicting Particle Deposition In A Human Lung Using A Lumped, Oscillatory Respiratory Model, Jordana E. O'Brien
Theses
Inhalation has become widely accepted as the optimal drug delivery mechanism for respiratory diseases, which often requires targeting a particular region of the lung. Mathematical models are key to under- standing the factors that influence drug transport and deposition in the lung. This study proposes a simple zero-dimensional typical path model that couples oscillatory breathing mechanics and particle deposition over multiple breathing cycles. Lung regions are lumped into compartments, and respiration is modeled using a circuit analog framework to capture airflows, lung pressures, and volumes in each lumped region. Particle transport and deposition are modeled by a mass-balance equation in …
Writing A Course Guide “Fashion Design: A Guide To The Apparel Industry”, Rosemary P. Durfee
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.
Assessing The Effectiveness Of Law Enforcement Strategies In Combating E-Crime Using Ai, Mohammad Ahmad Alkhazraji
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 …
Chemometric Processing Of Ecstasy Tablet Thermal Profiles Using Machine Learning Methods, Ali Arif Ibrahim
Chemometric Processing Of Ecstasy Tablet Thermal Profiles Using Machine Learning Methods, Ali Arif Ibrahim
Theses
Ecstasy is an amphetamine-type substance scientifically known as MDMA (3,4- methylenedioxymethamphetamine) that belongs to a group of illicit drugs called “club drugs” that are widespread and distributed illegally (Maione et al., 2016). Its ever-growing popularity and variety in multiple forms, shapes, and colors complicates the identification and tracking process to law enforcement and forensic analysts. The current study focused on integrating data analytics and advanced chemometric methods to Differential Scanning Calorimetry (DSC) to analyze the thermal profiles of ecstasy tablets. This approach aims to discriminate between tablets linked to different suspects and origins through thermal profiling, which will provide law …
An Edge Platform Streamlining Connectivity Between Modern Edge Devices And Cloud, Anderson Carvalho
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
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
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 …
The Future Of Robotic-Teacher Relationship In Classrooms: Cooperation Or Competition?, Miaad Saleh Hassan Abdullah Mobarak
The Future Of Robotic-Teacher Relationship In Classrooms: Cooperation Or Competition?, Miaad Saleh Hassan Abdullah Mobarak
Theses
As the realms of artificial intelligence (AI) and robotics undergo exponential growth and the issue of teacher shortage remains a concern, the potential for remarkable advancements in education with the assistance of robots becomes increasingly important. This review is conducted to understand the forthcoming role of robotics in education and its impact on teachers’ role in the classroom. Currently, it is widely known that AI is evolving in a rapid way, creating a huge presence in our life, building a perception among people that it will take over the role of human in various settings in the future. Various articles …
Exploring Experience Design In The Art Deco Restoration Of Indianapolis Bottleworks Hotel, Jennifer A. Mott
Exploring Experience Design In The Art Deco Restoration Of Indianapolis Bottleworks Hotel, Jennifer A. Mott
Theses
This thesis investigates the interaction between emotional resonance, the Decorative Arts, and historical significance in creating a curated emotional experience. Focused on the case study of the Bottleworks Hotel, a restored Art Deco gem within the former Coca-Cola Bottling Company plant in Indianapolis, this research provides an interpretative analysis, synthesis of the literature, and primary source surveys and reviews to show that the Art Deco restoration and the historical significance of the bottling plant work together to create stimulating experience design. As urban landscapes undergo transformation and the tourism industry becomes increasingly competitive and significant, this study not only enriches …
Fractional Derivative-Based Analysis Of The Heat Transfer Properties Of Fluid Flow Over A Contracting Permeable Infinite-Length Cylinder, Anas Saeb Alhasan
Fractional Derivative-Based Analysis Of The Heat Transfer Properties Of Fluid Flow Over A Contracting Permeable Infinite-Length Cylinder, Anas Saeb Alhasan
Theses
Understanding the complex interplay between the contracting behavior of the cylinder and the fluid flow dynamics has implications for the design of porous structures for heat exchange and filtration systems. In this study, we investigate the dynamics and thermal behavior of fluid flow past a contracting permeable infinite cylinder. First, we developed a mathematical model based on the Navier-Stokes equations to describe the fluid dynamics around the contracting permeable infinite cylinder. A new simple well-behaved definition of fractional derivative called conformable fractional derivative introduced by authors Khalil et al. [3] is employed to generalize the PDE’s of momentum and energy. …
Theoretical And Experimental Study Of Thermoradiative Cells For Space Power Generation, Andrew Schaefer
Theoretical And Experimental Study Of Thermoradiative Cells For Space Power Generation, Andrew Schaefer
Theses
Reliable power production is always a core element when engineers design a space mission. Typically, III-V solar arrays are used due to their high efficiency, radiation tolerance, and overall reliability. One downside of photovoltaics involves the need for incident light from the Sun. There are many places in the solar system and beyond that do not have access to sustained, high concentration solar radiation. As missions fly farther from the Sun, the available light power decreases with the inverse square of the distance. This means that missions past Jupiter are only receiving one tenth the solar power compared to Earth. …
Predictive Modeling Of Sociodemographic And Self-Construct Factors Affecting Math Performance In Secondary Education, Shaikha Ahmed Alaleeli
Predictive Modeling Of Sociodemographic And Self-Construct Factors Affecting Math Performance In Secondary Education, Shaikha Ahmed Alaleeli
Theses
Math is a prime subject because of its transferability to other fields of learning and its applications in daily and professional life. As a result, most countries and educational institutions focus on improving math performance, however student grades vary due to personal, familial, and institutional factors. Thus, the present study seeks to build a predictive model of sociodemographic and self-construct factors affecting math performance and identify which ones are the most impactful on student grades. The specific objectives are (1) to determine the association between student/family and school sociodemographic characteristics and math performance; (2) to the influence of student self-construct …
The Potential For Automated Insect Classification Using Infrared Remote Sensing, Rachel Deahl
The Potential For Automated Insect Classification Using Infrared Remote Sensing, Rachel Deahl
Theses
Insects play an important role within ecosystems, occupying almost all trophic levels and providing crucial services such as pollination and decomposition. In addition, they can directly and negatively impact humans as crop pests, parasites, and disease vectors. Thus, it is essential to understand the spatial and temporal dynamics of insect populations and communities. Various forms of remote sensing, such as LiDAR, have been used to capture data on insects but often are costly and require advanced expertise. The objective of this thesis is to evaluate a cost-effective methodology that balances information loss. This thesis aims to outline the discrimination required …
Monitoring Marine Animal Interactions With Open Ocean Aquaculture And The Potential For Measuring Impacts, Ryan Richard Yont
Monitoring Marine Animal Interactions With Open Ocean Aquaculture And The Potential For Measuring Impacts, Ryan Richard Yont
Theses
Aquaculture, the farming of water-based organisms, is one of the fastest growing industries in the food production sector globally. Aquaculture farms, regardless of type, are categorized as either coastal or offshore marine aquaculture and are generalized into three categories: fed (e.g., finfish), unfed (e.g., filter-feeding bivalves), and autotrophic (e.g. kelp). Viewed as an agricultural industry, marine aquaculture is tightly regulated, particularly in the U.S. Despite this, an area of concern for the public and management alike is the potential for marine life interactions with aquaculture gear. Even the best-run farms represent a change in the physical and biological characteristics of …
Reduction Of Crimes In Dubai With The Use Of Artificial Intelligence, Ahmad Saeed Abdulrahim
Reduction Of Crimes In Dubai With The Use Of Artificial Intelligence, Ahmad Saeed Abdulrahim
Theses
This dissertation examines the potential of Artificial Intelligence (AI) to enhance crime reduction efforts by the Dubai Police. As Dubai continues to grow and new technologies emerge, integrating AI into Dubai Police represents a significant opportunity to improve operational efficiency, predictive policing, and data-driven investigations. However, this integration also raises critical ethical and privacy concerns that must be addressed to ensure responsible use. The rapid development of AI technologies offers promising solutions for modernizing crime prevention and Dubai Police strategies. Dubai, with its advanced technological infrastructure and forward-looking governance, is an ideal context for exploring these innovations. The effective use …
Modeling The Impact Of Behavioral Changes And Heterogeneity On U.S. Energy Demand, Sinoun Phoung
Modeling The Impact Of Behavioral Changes And Heterogeneity On U.S. Energy Demand, Sinoun Phoung
Theses
Energy consumption is fundamental to the functioning of modern society, powering essential activities such as transportation, cooking, and working. The drivers of energy demand are influenced by an interplay of physical characteristics, climatic conditions, policy decisions, and behavioral patterns. These behavioral patterns are shaped by socio-demographic factors such as age, income, and employment status, which introduce variability in energy usage. Additionally, the COVID-19 pandemic has introduced changes in daily behaviors, which is persisting into the post-pandemic era and further influencing changes in energy consumption. Understanding and quantifying the diversity and changes in societal behaviors is crucial for energy management and …
Physical Properties Of Bulk Carbon Nanotube Conductors Impacting Radio Frequency Waveguide Measurements, Samuel J. Boyd
Physical Properties Of Bulk Carbon Nanotube Conductors Impacting Radio Frequency Waveguide Measurements, Samuel J. Boyd
Theses
Recent developments in radio frequency (RF) electronics motivate the interest in developing multi-functional materials which have effective electrical properties with increasing frequency that minimize the conventional skin effect. Carbon nanotubes (CNTs) are emerging as a candidate material due to high direct current (DC) electrical conductivity, flexure tolerance, corrosion resistance, and low density. The DC electrical conductivity of CNT networks is affected by the high resistance junctions between individual or bundled CNTs. Strategies to modify the properties of these junctions have included chemical doping, nano-metal deposition, and physical densification. Alternating current (AC) conductivity measurements of bulk CNT materials to date have …
Binary Neutron Stars: From Interpreting Individual Events To Inferring Population Properties, Anjali Balasaheb Yelikar
Binary Neutron Stars: From Interpreting Individual Events To Inferring Population Properties, Anjali Balasaheb Yelikar
Theses
Accurate information from gravitational wave signals from coalescing binary neutron stars provides essential input to downstream interpretations, including inference of the neutron star population and equation of state. However, even adopting the currently most accurate and physically motivated models available for parameter estimation (PE) of binary neutron stars(s), these models remain subject to waveform modeling uncertainty: differences between these models may introduce biases in recovered source properties. In this work, we describe injection studies investigating these systematic differences between the two best waveform models available for BNS currently, NRHybSur3dq8Tidal and TEOBResumS. We demonstrate that for BNS sources observable by current …
Design Of Face-Milled Spiral Bevel Gear Drives With The Desired Conditions Of Meshing And Contact By Application Of The Universal Motion Concept, Akari Tawa
Theses
This thesis aims to improve the computational methodology proposed by Fuentes et al. (2018) for the design of face-milled spiral bevel gear drives in order to get closer to the objective gear tooth surfaces and provide the desired meshing and contact conditions. In the existing computational methodology, all machine-tool settings, excluding velocity ratio, are treated as constants, whereas in this work, the machine-tool settings will be computed by polynomial functions up to the fourth degree of the cradle angle, approach commonly known as Universal Motion Concept (UMC). The proposed approach assumes a predefined geometry for the wheel member of the …