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Race As A Two-Sided Factor In Perceptions Of Policing: The Intersection Of Community Race And Police Race, Dani Wolfe
Race As A Two-Sided Factor In Perceptions Of Policing: The Intersection Of Community Race And Police Race, Dani Wolfe
Theses
Police practices tend to produce disparate outcomes for people of color. Outcome disparities have been addressed in other industries by increasing representativeness within those industries (i.e., increasing “organizational diversity”), though the outcome of these efforts is less clear in policing. Despite mixed findings, examining the barriers and facilitators to diversity within policing has been a growing focus of related research. While research has been done that investigates the experiences of minority race officers and how the presence of minority race officers may affect perceptions of police integrity in communities, little research has focused on how minority communities perceive minority police …
Ego - Acupressure Ar Glasses, Chin Yin Teng
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 …
An Evaluation Of The Irish Rugby Football Union (Irfu) Coach Education Framework In School And Club Settings, Kevin Smith
An Evaluation Of The Irish Rugby Football Union (Irfu) Coach Education Framework In School And Club Settings, Kevin Smith
Theses
This thesis aimed to evaluate the Irish Rugby Football Union Coach Education Framework (IRFU-CEF) and its subsequent effect on coach behaviours/perceptions, training session content, and athlete perceptions in multiple rugby union settings. The IRFU-CEF was designed to educate coaches in How to coach, as opposed to more traditional forms of coach education that are typically designed to deliver content of What to coach. A baseline analysis (Study 1) was conducted to examine current behaviours/perceptions in a rugby union coaching environment. An IRFU-CEF intervention (Study 2) was delivered to coaches in the form of a single episode as a coach education …
Using Machine Learning Algorithms To Predict Outcomes Of Chess Games Using Player Data, Sofia Decredico
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 …
Securing The Inbox: Advancing Phishing Email Detection With Fine-Tuned Bert, Fatima Rashed Al Saedi
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. …
The Impact Of Outdoor Thermal Comfort On Users’ Walkability: Study Case In Al Ain Square, Al Ain City, Uae, Alyazia Saeed Alnehayan
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 …
The Association Between Body Image Satisfaction And Depressive Symptoms Among Young Women In The Uae With Polycystic Ovary Syndrome (Pcos) And Non-Pcos: A Comparative Quantitative Cross-Sectional Study, Shaima Abdrahman Al-Mekhlafi
The Association Between Body Image Satisfaction And Depressive Symptoms Among Young Women In The Uae With Polycystic Ovary Syndrome (Pcos) And Non-Pcos: A Comparative Quantitative Cross-Sectional Study, Shaima Abdrahman Al-Mekhlafi
Theses
Polycystic Ovary Syndrome (PCOS) is one of the most common syndromes affecting women of reproductive age, (Laggari et al., 2009). PCOS not only impacts women's physical health but also their psychological well-being, often leading to depressive symptoms and lower body image satisfaction, Wang et al. (2023). Recent research indicates a growing prevalence of PCOS among women in the United Arab Emirates (UAE), Mirza et al. (2023). However, there is a noticeable gap in understanding the psychological effects of PCOS on women in the UAE, likely due to cultural sensitivities. This study aims to investigate the association of depressive symptoms and …
Exploring English Language Teachers’ Selfefficacy Beliefs In Relation To Teaching Gifted Students, Shatha Mohammed Sobih
Exploring English Language Teachers’ Selfefficacy Beliefs In Relation To Teaching Gifted Students, Shatha Mohammed Sobih
Theses
This study investigates the beliefs of English language teachers regarding their ability to identify and teach gifted students, focusing on how they perceive their own skills in teaching primary grade level students (grades 1, 2, and 3) with exceptional intellectual abilities in English language education. The study followed a qualitative research design and collected data using an open-ended survey consisting of questions that encouraged participants to provide detailed and unrestricted responses. This study also performed purposeful sampling to select respondents with the necessary knowledge and experience to offer rich and meaningful data. This study targeted English language teachers (n …
Investigating The Organizational Support For Educators Supporting Students With Disabilities: A Study On Administrative Strategies In The United Arab Emirates, Amal Mahmoud Al Badawi
Investigating The Organizational Support For Educators Supporting Students With Disabilities: A Study On Administrative Strategies In The United Arab Emirates, Amal Mahmoud Al Badawi
Theses
The aim of the study is to explore whether organizational support can help general and special educators to provide effective services to their students with disabilities. Additionally, the study seeks to identify strategies that program administrators can employ to overcome barriers and provide better support to their staff. Using a mixedmethod approach, which includes a survey (N=25) with 10 participants working in special education and 15 in general education and interviews with five education leaders in both special and general education settings. These leaders, who hold positions such as Directors of General Education and Special Needs Coordinators, bring varied years …
Performance Analysis Of Underground-To-Aboveground Communication In Agricultural Iot Networks, Irfana Ilyas Manzil
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
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 …
Functional Characterization Of Potato Arp1 Gene Encoding Auxin-Repressed Protein, Sara Ali Alneyadi
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 …
Clonality And Epidemiological Studies Of E. Coli Strain Collected From Abu Dhabi Emirate Using Ngs And Bioinformatic Tools, Ahmed Abdelrahman Mohamed
Clonality And Epidemiological Studies Of E. Coli Strain Collected From Abu Dhabi Emirate Using Ngs And Bioinformatic Tools, Ahmed Abdelrahman Mohamed
Theses
In the current landscape, where antibiotic resistance in bacteria is steadily rising, the role of bacterial genomics has assumed increasing significance. Therefore, it is necessary for microbiologists to acquire proficiency in the utilization of these methods and tools to harness their potential in gaining valuable insights into bacterial genomes. This can facilitate the development of innovative strategies for managing and treating bacterial infections. Here we present the power of the whole-genome sequencing technology in characterization of multidrug resistant Escherichia coli isolates. Fourteen Escherichia coli isolates were selected for this study. Following the standard microbiological techniques to confirm the sample identification, …
Technology-Enhanced Mathematics Teaching And Learning: Teachers’ Perspectives On Digital And Generative Ai–Enabled Tool Integration Through A Tpack Lens In Abu Dhabi Schools, Abdalrahman A. Adlouni
Technology-Enhanced Mathematics Teaching And Learning: Teachers’ Perspectives On Digital And Generative Ai–Enabled Tool Integration Through A Tpack Lens In Abu Dhabi Schools, Abdalrahman A. Adlouni
Theses
Digital learning is an active approach to education in daily life, and it has been implemented in all the schools in the United Arab Emirates (UAE). Many strategies, such as platforms, online educational websites, and other applications, were used by teachers to support blended learning and assist students in achieving their goals and accomplishing what is required from their curriculum. The main objective of this study is to examine teachers’ perceptions toward teaching mathematics using digital learning tools in Cycle 2 and Cycle 3. Data was collected from (n=114) mathematics teachers in Abu Dhabi City, UAE, during the spring semester …
The Next Strike: Pioneering Forward-Thinking Attack Techniques With Rowhammer In Dram Technologies, Nakul Kochar
The Next Strike: Pioneering Forward-Thinking Attack Techniques With Rowhammer In Dram Technologies, Nakul Kochar
Theses
In the realm of DRAM technologies this study investigates RowHammer vulnerabilities in DDR4 DRAM memory across various manufacturers, employing advanced multi-sided fault injection techniques to impose attack strategies directly on physical memory rows. Our novel approach, diverging from traditional victim-focused methods, involves strategically allocating virtual memory rows to their physical counterparts for more potent attacks. These attacks, exploiting the inherent weaknesses in DRAM design, are capable of inducing bit flips in a controlled manner to undermine system integrity. We employed a strategy that compromised system integrity through a nuanced approach of targeting rows situated at a distance of two rows …
Electrochemical Nitrate Reduction To Ammonia On Cu Based Nanoparticles Using Quantum Mechanical Simulations, Kathan Bhavin Shukla
Electrochemical Nitrate Reduction To Ammonia On Cu Based Nanoparticles Using Quantum Mechanical Simulations, Kathan Bhavin Shukla
Theses
Nitrate reduction to ammonia (NRA) is critical for environmental remediation and energy conservation, as it can remove harmful nitrate (NO3-) from water sources while producing usable ammonia (NH3). Cu represents one of the most promising non-noble-metal NRA electrocatalysts. However, the intrinsic catalytic activity of Cu facets and their influence under different pH conditions remain unclear, particularly in the presence of ions commonly found in wastewater such as Cl-, Na+, Mg2+, and Ca2+. Using density functional theory (DFT) calculations, we evaluated the nitrate reduction to ammonia (NRA) pathways …
Optimizing Social Determinant Of Health Concept Extraction, Niharika Singh
Optimizing Social Determinant Of Health Concept Extraction, Niharika Singh
Theses
Generative Artificial Intelligence has recently garnered enormous attention for a varied number of reasons, one of them being its capacity to automate complex tasks. As the potential for integrating Generative Artificial Intelligence across technology, media, and healthcare grows, many tasks previously reliant on manual or algorithm-intensive methods can be simplified significantly. One such challenge is concept extraction, which is a labor-intensive process, especially when performed manually for building robust ontologies. It involves analyzing text to identify and extract relevant concepts, key phrases, entities, and relationships between these entities. This thesis explores various challenges of concept extraction from the ABCD (Adolescent …
Complementing Vehicle Trajectories Using Two Camera Viewpoints, Katsuaki Nakano
Complementing Vehicle Trajectories Using Two Camera Viewpoints, Katsuaki Nakano
Theses
Traffic volume surveying is a crucial activity to get traffic statistics for road management and traffic congestion control. In recent years, the target environment of traffic volume surveying has become more complex, such as the fully automated surveillance of many-way intersections. Further compounding this complexity, some local governments may not be able to install a camera at a high enough elevation to capture the entire intersection due to environmental, legal, safety, or cost restrictions. Therefore, bigger objects such as buses and trucks often occlude other vehicles in the captured image. This occlusion degrades the accuracy of counting and is one …
A Programmable Look-Up Table-Based Processing In Memory Architecture For Massively Parallel, Energy-Efficient Processing Of Data-Intensive Applications Within Dram, Purab Ranjan Sutradhar
A Programmable Look-Up Table-Based Processing In Memory Architecture For Massively Parallel, Energy-Efficient Processing Of Data-Intensive Applications Within Dram, Purab Ranjan Sutradhar
Theses
As modern computing workloads become increasingly data-intensive, the limitations of traditional digital computing hardware, especially in terms of communication bandwidth between memory and processors, are becoming more apparent. Surprisingly, the performance and energy efficiency of the state-of-the-art are not primarily constrained by the computing power of advanced processing architectures but rather by the low communication bandwidth between the memory and the processor. This challenge necessitates a clever re-architecting of digital computing hardware to make the communication between the processor and the memory more energy-efficient, faster, and capable of supporting significantly higher bandwidth. Memory-centric computing emerges as a novel, alternate computing …
Human-Machine Interactions For Behavioral Health Care, Zhiwei Yu
Human-Machine Interactions For Behavioral Health Care, Zhiwei Yu
Theses
About one in four American adults (26%) and 20.3% of children aged 8 to 16 years reported behavioral health concerns in 2023. However, a substantial gap remains between demand for behavioral healthcare services and access to such services. In response, research efforts have been made to advance effective and accessible approaches to provide assessments and treatments for populations with behavioral health needs. Yet, two primary challenges exist in current practice and research: 1) self-reports and manual observation-based assessments are subjective and labor-intensive, as evaluations are limited to the availability of clinical professionals; 2) they only target the general experiences but …
Machine Learning Models For Enhanced Stock Trading Strategies, Alyaa Al Ali
Machine Learning Models For Enhanced Stock Trading Strategies, Alyaa Al Ali
Theses
The purpose of this research is to develop sophisticated machine-learning models that can predict stock price movements, taking into account the multifaceted influences that create volatility in financial markets. To navigate the complexities of market dynamics effectively, investors, financial institutions, and academia rely on precision stock price predictions. This research generates actionable buy and sell signals by using historical stock data, technical market indicators, Linear Support Vector Machines (LSVM), Neural Networks, and Logistic Regression. A distinctive feature of this model is it uses market indicators such as PPO, MACD, RSI Signal, Bollinger Bands, ROC Signal, and DX Signal instead of …
Spatiotemporal Alignment Of Event Stream With Images And Active Illumination, Abhijan Wasti
Spatiotemporal Alignment Of Event Stream With Images And Active Illumination, Abhijan Wasti
Theses
Unlike conventional frame-based cameras that form images by sampling all pixels within the duration of the global/rolling shutter, a pixel in an event camera can be triggered independently when the log intensity change in scene luminance at the pixel exceeds a threshold. This unique feature provides several advantages over conventional sensors, including high dynamic range (HDR) (≈120dB), high temporal rate (≈10,000Hz), low latency (< 1ms), and low power requirements (≈10mW). These properties make them excellent candidates for applications such as high-speed photography, HDR image reconstruction, object tracking, depth estimation, simultaneous localization and mapping, and surveillance and monitoring. Despite their potential, the asynchronous and spatially sparse nature of events poses challenges to event processing and interpretation. This is because most advanced image processing and computer vision algorithms are designed to work with conventional image formats, and not with temporally dense streams of asynchronous pixel events (i.e., the event stream). Although emerging techniques in supervised machine learning demonstrate promise, continued and rapid progress relies on the availability of labeled event datasets, which are scarce, and difficult to produce. Moreover, generating reliable events for training models is challenging due to the scene-dependent nature of event generation, which is further complicated by varying illumination and relative motion. In this thesis, we attempt to address these limitations with a novel imaging paradigm involving the capture of frames from a conventional frame-based camera that has been spa tially aligned and temporally synchronized with an event sensor. Our active illumination source allows us to generate events more consistently even under challenging illumination and motion in the scene. We demonstrate the feasibility of such a setup for a mobile eye tracking system and acquire subpixel and microsecond accurate spatiotemporal alignment. Our method facilitates the use of pre-trained models that operate on conventional images to detect features that can then be used to train models that can be applied directly to the event stream. This serves as the next step in event-based imaging and unlocks new possibilities in computer vision and imaging technology.
Exploring Microplastic Concentrations And The Sedimentology Of San Diego's Offshore Benthic Environments, Rachel Sarner
Exploring Microplastic Concentrations And The Sedimentology Of San Diego's Offshore Benthic Environments, Rachel Sarner
Theses
Marine pollution studies are showing infiltration of plastic debris in remote parts of oceans including the deep sea. Microplastics (MPs) are being discovered not only in the ocean’s water column but also benthic sediments reaching thousands of meters in depth. This is the first study to analyze MP concentrations in conjunction with sedimentary characteristics from varying deep-sea environments (coastal, deep ocean, offshore terrace) in the Southern California Continental Borderland (CCB). Our goal for this study was to observe how the concentration and type (morphology, color, size) of microplastics varied with distance from shore, with water depth, and between different submarine …
Deep Learning Approach For Detecting And Classifying Chaotic Driving Activity Using Video Surveillance, Fatma Abdulla Desmal Alhaddad
Deep Learning Approach For Detecting And Classifying Chaotic Driving Activity Using Video Surveillance, Fatma Abdulla Desmal Alhaddad
Theses
The growing rate of urbanization in the city of Dubai has contributed to the increase in vehicular activity and the prevalence of risky driving behavior on the road. This project proposes a deep-learning-based system, VGG-16, for the identification and classification of different patterns of driving behavior. The research methodology used for the study relies on the compilation of datasets from various resources, including ImageNet, Kaggle, UAH-DriverSet, D²-City Dataset, and confidential videos obtained from the Dubai Police command center. The findings of the study will be categorized into two parts. The first part will involve the compilation of the features based …
Using Machine Learning Algorithm For Detecting Distributed Denial Of Service Attack, Zainab Alblooshi
Using Machine Learning Algorithm For Detecting Distributed Denial Of Service Attack, Zainab Alblooshi
Theses
DDoS attacks, which stand for Distributed Denial of Service attacks, play a significant role in impacting the reliability and availability of online services and networks. Since no system is completely immune to cybersecurity threats, which evolve daily with new techniques, studying this topic is crucial for exploring machine learning methods that can effectively detect DDoS attacks. An approach has been utilized to conduct Exploratory Data Analysis (EDA) to identify patterns suggesting the presence of DDoS attacks. Multiple machine learning models have been employed, such as Random Forest, K-Nearest Neighbors (KNN), XGBoost, and Logistic Regression. These models have undergone training and …
The Future Of Smart Transport Technologies: Examining Dubai's Technological Readiness Levels (Trls) To Adopt New Smart Transport Technologies, Hamad Omran Alshizawi
The Future Of Smart Transport Technologies: Examining Dubai's Technological Readiness Levels (Trls) To Adopt New Smart Transport Technologies, Hamad Omran Alshizawi
Theses
This research aims to understand what Dubai is willing to do and to provide in terms of smIntelligent Transportation Systems with emphasis on capacity optimization of traffic and understanding TRLs and absorption capacity for AI in Intelligent Transportation Systems Traffic Prediction and Control Systems. The research is important in the context of the concept of a smart city for Dubai and the argument that perfect for the object of examination – transport – can and should integrate new technologies easily into the existing context. Drawing from a population of smart city literature development, traffic and Smart technology, the present study …
Using Prediction Ml Algorithm For Predicting Early Student Attrition In Higher Education, Noora Ali Mohsen Alattar Alhashmi
Using Prediction Ml Algorithm For Predicting Early Student Attrition In Higher Education, Noora Ali Mohsen Alattar Alhashmi
Theses
Abstract This study aims to use predictive models in order to figure out students that are in likelihood of attrition as well as determine the factors that may contribute to this attrition. Student attrition is the occurrence in which students leave the institution without finishing their studies or taking the degree. It includes students either willingly or involuntarily terminating their education and failing to graduate. The findings will enable relevant parties to establish successful strategies or approaches and activities to assist in reducing the number of students who leave. With the testing and analysis approaches, it was recognized that SVM …
Decentralisation Of Drone Authentication Within Iod Networks., Jarryd Tayler Brits
Decentralisation Of Drone Authentication Within Iod Networks., Jarryd Tayler Brits
Theses
The applications of drones have become increasingly more versatile, with their popularity also increasing rapidly in the last decade. These applications span from entertainment within civilian markets to more military-based applications, including private security firms. However, with this rise in use, the security risks involved have also increased drastically, predominantly in a drone’s lack of ability to authenticate surrounding drones efficiently and securely without the aid of a third party. Although there have been copious amounts of research to support drone authentication, they predominantly rely on a single source of truth, such as a ground station server (GCS), which presents …
A Framework For Filtering Irrelevant Notams, Roudha Abdulrahman
A Framework For Filtering Irrelevant Notams, Roudha Abdulrahman
Theses
The Notice to Airmen (NOTAM) system is essential for aviation safety, giving critical information on risks and operating limitations. However, the volume and complexity of NOTAM data complicate interpretation, which could compromise safety and efficiency. This study tries to address these issues by creating a predictive algorithm for analyzing NOTAM data and predicting whether to keep or remove them. The methodology combines effective machine learning algorithms to reveal insights that improve safety and operational efficiency. Using a dataset of NOTAM entries, multiple prediction algorithms are tested to forecast possible problems and enable proactive risk management. The study's findings help to …
Unraveling The Role Of Asymmetry In Structural Porous Media On The Growth Of Fluid Fingers, Amir Ibrahim
Unraveling The Role Of Asymmetry In Structural Porous Media On The Growth Of Fluid Fingers, Amir Ibrahim
Theses
Instabilities at fluid-fluid interfaces are ubiquitous in porous media, even at small flow rates. The growth of fluid fingers during fluid-fluid immiscible displacement in a porous medium results in partial saturation of the medium, and inefficiency in displacement has a tremendous economic impact on oil recovery, chemical reactors, and water filtration industries. In this study, we demonstrate that an inherent asymmetry in the structure of a porous medium controls the development of fluid fingers due to instabilities at fluid interfaces. We construct a 2D porous medium consisting of a matrix of triangles using soft lithography to investigate air displacement by …