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Articles 1621 - 1650 of 21702
Full-Text Articles in Entire DC Network
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 …
Examining Regulatory And Social Process Traits Associated With Experiences Of Shared Decision Making, Megan Kelly
Examining Regulatory And Social Process Traits Associated With Experiences Of Shared Decision Making, Megan Kelly
Theses
Decision-making is an important part of healthcare. In recent years, providers have started to use shared decision-making (SDM) with consumers, wherein provider and consumer reach a decision together. Personal characteristics common to Attention-Deficit Hyperactivity Disorder (ADHD) and Autism Spectrum Disorder (ASD), such as emotion dysregulation, impulsivity, and difficulties with social communication skills may impact SDM. Self-efficacy was hypothesized to mediate this relationship, as it has been described as an integral aspect of SDM. This study utilized a sample of 141 undergraduate college students. We found that emotion regulation predicted confidence in SDM, as well as differences in how individuals with …
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 …
Nano Biosensing Platform For Infectious Disease Diagnostics, Li Liu
Nano Biosensing Platform For Infectious Disease Diagnostics, Li Liu
Theses
CRISPR-Cas enabled biosensors offer great potential to be at the forefront of diagnostic medicine. This thesis focuses on the principles of CRISPR-Cas technology and its application to biosensors and virus diagnostics. It also provides a detailed discussion of the different detection methods available at this stage. The breakthrough achievements of CRISPR biosensors in nucleic acid detection are summarized. The CRISPR-Cas nano biosensors exhibit high accuracy, sensitivity, selectivity, and versatility, offering great potential for next-generation diagnostic and point-of-care devices. The prospects and future trends of CRISPR biosensors are also described. From an engineering perspective, this thesis develops and applies several methods …
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 …
High Heat Flux Dissipation Techniques Using Enhancement Structures And Subcooled Boiling Chamber For High Performance Computing Applications, Maharshi Y. Shukla
High Heat Flux Dissipation Techniques Using Enhancement Structures And Subcooled Boiling Chamber For High Performance Computing Applications, Maharshi Y. Shukla
Theses
With a rising need for high-performance computing in data centers, enhanced heat dissipation from microprocessors becomes critical for maintaining their surface temperature in a compact setting. While air cooling has been sufficient until now, liquid cooling proves to be superior in its heat dissipation capabilities. The present work investigates enhancing liquid cooling with boiling and enhanced boiling structures in a novel subcooled boiling chamber. The single-phase forced convection heat transfer is first studied by enhancing the heat transfer performance (CHF and HTC) by more than 50 % with the injection of air bubbles at the heater surface. A self-sustaining method …
Adaptive Parameter Tuning For Robust Event-Based Slam In Diverse Scenarios, Saber Muawiyah Sakhrieh
Adaptive Parameter Tuning For Robust Event-Based Slam In Diverse Scenarios, Saber Muawiyah Sakhrieh
Theses
In the ever-changing field of contemporary robotics, Visual Simultaneous Localization and Mapping (V-SLAM) stands as a crucial technology, facilitating navigation and mapping in various environments. While traditional V-SLAM approaches excel in static environments, the need for their adaptation to handle dynamic and realistic scenes is becoming increasingly apparent. This thesis delves into the advancements within the V-SLAM field, with a focus on enhancing its adaptability and performance in dynamic and challenging conditions. Initially, a comprehensive review of V-SLAM methods in the literature is presented in this thesis, offering an in-depth examination of current cutting-edge techniques, their strengths, weaknesses, and prospects …
A Foresight Study For Sustainable Urban Transport Systems: The Case Of Dubai, Salahuddin Bassem Masadeh
A Foresight Study For Sustainable Urban Transport Systems: The Case Of Dubai, Salahuddin Bassem Masadeh
Theses
Mainly, this research proposes a future study for sustainable transportation systems in the city and the importance of applying these systems in Dubai to prevent accidents, to make it more sustainable and save more lives. It will identify the practical actions and results of applying these technologies and their social, economic, urban, and environmental effects. These actions will increase the growth of the economy and the quality of life in Dubai City by achieving their transportation sustainability objectives. Another goal of the research is to foster the association between city shareholders, construction companies, government, and traffic officers to apply sustainable …
Investigating Key Challenges In Managing Inventories Of Spares In The Ev Sector, Keasav Ram R
Investigating Key Challenges In Managing Inventories Of Spares In The Ev Sector, Keasav Ram R
Theses
Exploring the major issues in spare inventory management in the EV industry is the main purpose of the study. The current practices and challenges associated with inventory management of spares in the US EV sector have been investigated in this study. A "secondary qualitative data collection" method along with an exploratory approach has been utilised in this study to drive the study in a proper way to achieve a successful outcome. The collected data has been analysed in terms of using a thematic analysis. Objective and research questions specific themes have been generated to analyse the collected secondary data. It …
A Study Of Gate Valve Supply Chain And Life Cycle Impacts, Saud Bindarwish
A Study Of Gate Valve Supply Chain And Life Cycle Impacts, Saud Bindarwish
Theses
and sustainable water supplies depend on water infrastructure. However, old infrastructure, especially valves that leak and break, can cause significant water loss, economic strain, and environmental damage. This study explores best choice of gate valves to use while replacing defected existing gate valve in the networks by examining gate valve supply chains and their life cycle consequences. Traditional gate valve supply chains are lengthy and complicated. Extracting iron ore and copper destroys habitats and pollutes air and water. Factory processing and production of these materials increases energy use and air/water pollution. Valve shipping, usually overseas, emits lots of greenhouse gases. …
Smart Technology For Enhancing Indoor Air Quality, Abdulaziz Mohammed
Smart Technology For Enhancing Indoor Air Quality, Abdulaziz Mohammed
Theses
The COP28 emission reduction plan underscores the imperative of transitioning away from fossil fuels to combat climate change. Concurrently, the rapid adoption of Internet of Things technology has emerged as a transformative force in urban governance, offering cities enhanced resilience and operational frameworks through data analytics and real-time monitoring. In response to these trends, the present research focused on leveraging IoT technology to monitor indoor air quality within a “restaurant A” in an urban area in Dubai. Employing advanced data analytics and smart sensor technologies, particularly LoRa, the project aimed to analyze and monitor air quality parameters. Disposing the sensor …
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 …
Utilization And Justification Of Generative Ai Technologies For Schematic Architectural Design, Aaric Celeste
Utilization And Justification Of Generative Ai Technologies For Schematic Architectural Design, Aaric Celeste
Theses
Today, architecture is heavily assisted by computer programs. As technology advances, these programs will be more impactful in the design space and will become more inseparable as a result. It is nearly certain that architectural design will no longer be as time-consuming and reiterative as it is today. Computer software and AI-assisted tools will be able to interpret information and produce practical designs that architects otherwise couldn’t. It may seem futuristic and a not-in-our-lifetime phenomenon, but it in fact already exists today. Algorithms are already developed to assist and in some cases take over design work. This thesis discovered existing …
Improving Automatic Refactoring Candidate Identification, Ryan Devoe
Improving Automatic Refactoring Candidate Identification, Ryan Devoe
Theses
Extract method refactoring is pivotal for enhancing code readability, maintainability, and modularity by segmenting complex code into clearer, isolated methods. Identifying opportunities for such refactorings necessitates a deep understanding of the codebase’s evolution and its intricate relationships. Current methodologies utilize developer commit messages, advanced graph analysis, and diverse machine learning approaches to automate this identification process. This research delves into the application of deep learning-based Large Language Models (LLMs) to tackle the complexities inherent in extract method refactoring. We introduce innovative approaches, including the use of LLMs to cluster code blocks based on complex patterns and dependencies, and the analysis …
The Babysitter, Diane Catsburrow Linnet
The Babysitter, Diane Catsburrow Linnet
Theses
After producing several short animated films of different moods and visual designs, I designed the thesis film production with the challenge of telling a longer, more complex story with themes of human connection. I curated the narrative as a slice of life, favoring a somewhat nonsensical series of events rather than a clean-cut narrative, but also sought to tap into the whimsical animated humor by incorporating fantastical elements such as a bear baby. These combined to create a film about not understanding everything, but being able to see what is necessary to help someone in need, told in a form …
Exploring The Positive Impact Of Emotionally Designed Furniture On Alleviating Negative Symptoms In Individuals With Complex Post-Traumatic Stress Disorder (C-Ptsd): A Case Study Of Chinese Families Influenced By Traditional Confucian Culture., Guangxin Zhang
Theses
This study aims to explore whether emotionally designed furniture has a positive impact on alleviating negative symptoms in individuals with Complex Post-Traumatic Stress Disorder (C-PTSD). Through a combination of literature review and empirical research, the characteristics of C-PTSD individuals and their common negative symptoms, including anxiety, depression, fatigue, etc., were first reviewed and analyzed. Then, the hypothesis of the positive impact of emotionally designed furniture on individuals with C-PTSD was proposed. The study further explores how emotionally designed furniture enhances environmental comfort and fosters emotional connections in personal spaces to provide psychological support and alleviate symptoms in individuals with C-PTSD. …
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 …
Anthropogenic Impacts Lead To Plant Biodiversity Losses In A Unique And Fragile Coastal Dune Ecosystem, Natalie Clagett
Anthropogenic Impacts Lead To Plant Biodiversity Losses In A Unique And Fragile Coastal Dune Ecosystem, Natalie Clagett
Theses
At the southern end of the California Floristic Province lie the El Socorro Dunes. These Dunes have the highest biodiversity of any dune system in Mexico, hosting at least 11 perennial endemic and rare plant species. The El Socorro Dunes’ perennial vegetation was surveyed between 2008 to 2010, but since then these dunes have faced pressure from regional land transformations, such as off-roading and mining, invasive species spread, and climate change. This study examines the plant community changes within the El Socorro Dunes and potential links to stressors. Our results show significant losses of native plants, and significant increases in …
Autowaze: Automated, Real-Time, And Accurate Traffic Analytics, Vijay Bajracharya
Autowaze: Automated, Real-Time, And Accurate Traffic Analytics, Vijay Bajracharya
Theses
A key factor leading to the inefficiency of transportation systems is the lack of real-time, fine-grained traffic analytics. An average motorist in the United States spends a significant amount of time looking for parking spots during their daily commute. Existing systems for traffic analytics are either not scal- able to large metropolitan areas or require a human-in-the-loop. This project focuses on automating the detection of fine-grained traffic analytics. Lever- aging on-board stereo cameras, Autowaze utilizes a crowd-sourced strategy to take time-windowed snapshots of the road containing 3D map points of the environment. These snapshots are used to extract changes in …
Emotional First Aid Kit Design, Wenxi Qi
Emotional First Aid Kit Design, Wenxi Qi
Theses
In contemporary society, the shift towards holistic well-being has highlighted the critical importance of emotional health in maintaining overall quality of life. Research indicates that emotional health issues now pose a greater threat to individual well-being and productivity than physical ailments. Despite this, there exists a significant gap in awareness and emphasis between physical and emotional health across various sectors, contributing significantly to the prevalence of mental health issues. This research paper introduces the "Emotional First Aid Kit," a novel design concept aimed at addressing emotional distress in everyday scenarios similar to conventional first aid kits managing physical injuries. The …
On The Naming Of Identifiers: A Survey Of Undergraduate Students, Stacy Skalicky
On The Naming Of Identifiers: A Survey Of Undergraduate Students, Stacy Skalicky
Theses
Alsuhaibani et al. state that 60% of the participants do not have strict or any naming standards in the workplace and developers surveyed desired clear method naming standards to promote code comprehension [2]. Martin indi-cated identifier names are responsible for 90% of what makes software readable and understandable [25] . Borstler et al. indicated readability was important to developers at every level of experience but few report their academic influences being effectively leveraged to make quality identifiers [5]. Keuning et al. surveyed teachers in programming-related fields and found that code quality although important, was not a big part of their …
Improving Design And Physical Boundary In Temporary Post-Disaster Relief Shelters: Analysis Of Existing Literature, Min-Hye Jang
Improving Design And Physical Boundary In Temporary Post-Disaster Relief Shelters: Analysis Of Existing Literature, Min-Hye Jang
Theses
Natural disasters such as floods, hurricanes, cyclones, storms, earthquakes, wildfires, and landslides displace people. As responses at the community resilience level, the temporary post-relief shelter is critical for the community's rapid recovery. Converting existing public facilities is the fastest way to respond to a crisis. However, the Hurricane Katrina Superdome Shelter alerted society to the prevalence of sexual assault in transitory catastrophe contexts. Not only has sexual abuse occurred, but prior shelters did not equip every user with physical barriers to suit their needs. This study examined academic journals, articles, and books to identify issues with natural disaster shelters created …
Syn: Exploring Multi-Sensory Sound Experiences Through An Immersive Installation, Samara Sudhir
Syn: Exploring Multi-Sensory Sound Experiences Through An Immersive Installation, Samara Sudhir
Theses
The project titled 'SYN.' is a thesis that explores the realm of multi-sensory experiences in visual communication by taking inspiration from synesthesia. Synesthesia is a phenomenon where sensory information is transmitted through multiple unrelated senses, causing individuals to experience more than one sense simultaneously, such as seeing music and hearing color/shapes. The project aims to create an immersive and interactive installation that evokes a feeling of being inside the music by blurring the boundaries between auditory and visual stimuli. Through meticulous mapping and projection of visuals onto various surfaces, a three-dimensional space is created where participants can interact and alter …
Pawssenger--Enhance The Experience Of Flying With Pets, Xinxin Li
Pawssenger--Enhance The Experience Of Flying With Pets, Xinxin Li
Theses
As demand for long-distance air travel with pets surges, airlines must adapt by enhancing accommodations for safe, comfortable, and sustainable pet transport over extended periods. This paper presents a proposed, innovative, comprehensive approach to redesigning airplane cabin and cargo spaces to create a more pet-friendly, eco-conscious experience for travelers on long-haul flights with animal companions. A key innovation needed for pets accompanying owners in the cabin on lengthy journeys is seamlessly integrating lightweight, modular pet carriers into passenger seating units. These redesigned carriers prioritize ventilation, comfort, and easy access to food/water during extended travel. They eliminate cumbersome separate pet carriers …
Electron Counting, Dopant Implementation, & Electron Phonon Interaction Mesh Sensitivity Testing For Nanoscale Energy Transport Model, Dominick Velez
Electron Counting, Dopant Implementation, & Electron Phonon Interaction Mesh Sensitivity Testing For Nanoscale Energy Transport Model, Dominick Velez
Theses
Managing thermal energy generation and heat transfer within nanoscale devices (transistors) of modern-day electronics is important as it limits speed, carrier mobility, and affects device reliability. In the nanoscale, heat conduction occurs primarily via phonon transport and heat generation is a result of electron-phonon interactions in these devices. Traditional methods of predicting physical behavior have proven to lack either physical accuracy, computational efficiency, or flexibility. The Nanoscale Energy Transport Model (NETM) is an engineering design tool introduced to calculate non-equilibrium transport of energy carriers in nanoscale devices and overcome the deficiencies of traditional models of energy-carrier transport The NETM previously …
Computational Framework For Parameter Identification In The Nearly Incompressible Linear Elasticity System, Rachel Hawks
Computational Framework For Parameter Identification In The Nearly Incompressible Linear Elasticity System, Rachel Hawks
Theses
Breast cancer is one of the most common cancers in women and early detection is a key component in the treatment of cancer and can lead to drastic improvement of patient survival rates. Cancerous tissue is stiffer on average than healthy soft tissue, and in the presence of a compressive force, the stiffer areas tend to deform less than the softer areas. The problem being analyzed is based on a linear elasticity system that describes displacement in soft tissue under applied body forces in biomedical applications, specifically in the case of identifying soft tissue cancers. Elasticity imaging, or elastography, can …
Optimizing Customs Efficiency: Detection For Illicit Shipments In Cargo, Ohood Alharbi
Optimizing Customs Efficiency: Detection For Illicit Shipments In Cargo, Ohood Alharbi
Theses
Aim- The study aimed for creating a machine learning algorithm which succeeded customs control procedures through estimating shipments being either illicit or non-illicit. The study aimed at boosting the level of accuracy in determining the critical shipments, which would in turn, increase customs productivity, minimize false positive and false negative, as well as augment security and ensure the smoothness of trade flow, amid a palpable surge in importation rates. Methods- The study implemented the CRISP-DM methodology (Cross-Industry Standard Process for Data Mining), which has a well-structured approach of achieving standard data mining solutions. At the beginning, the efforts have been …