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Covid-19 Vaccine Hesitancy And Governments Challenges, Laila Abdin
Covid-19 Vaccine Hesitancy And Governments Challenges, Laila Abdin
Theses
Governments face the challenge of increasing the number of people who have been infected. Millions of daily examinations are being conducted around the world to detect the disease. The pandemic is growing increasingly challenging as the number of confirmed cases increases. Governments encounter a variety of obstacles in approving the benefits of Covid-19 vaccinations. Indeed, the idea of getting vaccinated is still fuzzy, and does vaccination protect against infectious disease? There are a lot of questions floating around. The lack of clear information about the Covid-19 vaccine will stymie the growing number of people who have been immunized. Therefore, governments …
Microgrid Energy Management Using Ann And Monitoring Platform For Micro-Grid Systems Using The Internet Of Things, Fatima Hassan Jalal
Microgrid Energy Management Using Ann And Monitoring Platform For Micro-Grid Systems Using The Internet Of Things, Fatima Hassan Jalal
Theses
Energy management and monitoring are significant obstacles to microgrid implementation in smart homes. As a result, further research is required to address the modeling and operational aspects of the system's future findings for various applications. This work describes a novel technique for managing microgrid energy based on a robust control approach and the construction of a real-time monitoring platform. The proposed controller is based on an Artificial Neural Network (ANN), which is already in use in the energy internet paradigm, where Distributed Generators are connected to microgrids (DGs). When paired with the Thingspeak platform for real-time data analysis, the suggested …
Eye-Tracking Using Deep Learning, Sam Trenter
Eye-Tracking Using Deep Learning, Sam Trenter
Theses
Eye-tracking can be valuable for researchers in many domains. Most eye-tracking technologies require an extra piece of costly hardware. Several other available eye-tracking solutions are usually not very accurate and require a costly subscription. Our project was oriented at creating a free and open-source alternative that does not require additional equipment. We developed a deep learning-based solution as a prototype for this project. Specifically, we developed a deep learning model to predict a user’s gaze position on the screen. We created our training data set using a commercially available eye-tracker to train the model. Each training sample consists of a …
Android Malware Detection Using Machine Learning Techniques, Mohamed Salem Alhebsi
Android Malware Detection Using Machine Learning Techniques, Mohamed Salem Alhebsi
Theses
Android is the world's most popular and widely used operating system for mobile smartphones today. One of the reasons for this popularity is the free third-party applications that are downloaded and installed and provide various types of benefits to the user. Unfortunately, this flexibility of installing any application created by third parties has also led to an endless stream of constantly evolving malware applications that are intended to cause harm to the user in many ways. In this project, different approaches for tackling the problem of Android malware detection are presented and demonstrated. The data analytics of a real-time detection …
Data-Driven Optimization For Bicycle Station Location In A Small To Medium-Sized City: The Case Study Of Cuenca, Ecuador, Fernando Cueva
Data-Driven Optimization For Bicycle Station Location In A Small To Medium-Sized City: The Case Study Of Cuenca, Ecuador, Fernando Cueva
Theses
Bike sharing systems (BSSs) are an important transportation alternative, and station distribution is a key component of these that is driven by user demand and resource constraints. Designing an effective BSS with appropriate station distribution requires a method that consists of steps structured in a flexible, parameterizable, repeatable, and organized way, based on and aligned with proven or accepted standards---particularly in resource-limited environments. This includes data-driven analysis of information relevant to BSS station design from various sources and in different formats. Models and algorithms are used to organize and examine the data, reduce redundant data, standardize factors, and find patterns …
A Depth-Based Computer Vision Approach To Unmanned Aircraft System Landing With Optimal Positioning, Nicholas Quattrociocchi
A Depth-Based Computer Vision Approach To Unmanned Aircraft System Landing With Optimal Positioning, Nicholas Quattrociocchi
Theses
High traffic congestion in cities can lead to difficulties in delivering appropriate aid to people in need of emergency services. Developing an autonomous aerial medical evacuation system with the required size to facilitate the need can allow for the mitigation of the constraint. The aerial system must be capable of vertical takeoff and landing to reach highly conjected areas and areas where traditional aircraft cannot access. In general, the most challenging limitation within any proposed solution is the landing sequence. There have been several techniques developed over the years to land aircraft autonomously; however, very little attention has been scoped …
Deep Into The Eyes: Applying Machine Learning To Improve Eye-Tracking, Aayush Kumar Chaudhary
Deep Into The Eyes: Applying Machine Learning To Improve Eye-Tracking, Aayush Kumar Chaudhary
Theses
Eye-tracking has been an active research area with applications in personal and behav- ioral studies, medical diagnosis, virtual reality, and mixed reality applications. Improving the robustness, generalizability, accuracy, and precision of eye-trackers while maintaining privacy is crucial. Unfortunately, many existing low-cost portable commercial eye trackers suffer from signal artifacts and a low signal-to-noise ratio. These trackers are highly depen- dent on low-level features such as pupil edges or diffused bright spots in order to precisely localize the pupil and corneal reflection. As a result, they are not reliable for studying eye movements that require high precision, such as microsaccades, smooth …
On The Use Of Imaging Spectroscopy From Unmanned Aerial Systems (Uas) To Model Yield And Assess Growth Stages Of A Broadacre Crop, Amirhossein Hassanzadeh
On The Use Of Imaging Spectroscopy From Unmanned Aerial Systems (Uas) To Model Yield And Assess Growth Stages Of A Broadacre Crop, Amirhossein Hassanzadeh
Theses
Snap bean production was valued at $363 million in 2018. Moreover, the increasing need in food production, caused by the exponential increase in population, makes this crop vitally important to study. Traditionally, harvest time determination and yield prediction are performed by collecting limited number of samples. While this approach could work, it is inaccurate, labor-intensive, and based on a small sample size. The ambiguous nature of this approach furthermore leaves the grower with under-ripe and over-mature plants, decreasing the final net profit and the overall quality of the product. A more cost-effective method would be a site-specific approach that would …
Molecular Evidence Of Cryptic Hybridization In The Japanese Nezasa Bamboos (Pleioblastus Section Nezasa), Ryan Long
Theses
The genus Pleioblastus is a complex group of Southeast Asian temperate bamboos with 7-21 species, depending on taxonomic authority. This study tests the hypothesis that taxonomic complexity in this group is due in part to hybridization and subsequent backcrossing in natural populations, resulting in a reticulate evolutionary history and a contemporary species assemblage that includes cryptic hybrids. This hypothesis is supported by recent research on the temperate bamboos that revealed intergeneric hybrids involving Pleioblastus and other genera of temperate bamboos (Triplett and Clark, 2021). The objective of the current study was to use data from Amplified Fragment Length Polymorphism (AFLP) …
Effects Of Dc Electric Field On Particle Transportation And Deposition In Evaporating Droplets, Akshay Pratap Singh
Effects Of Dc Electric Field On Particle Transportation And Deposition In Evaporating Droplets, Akshay Pratap Singh
Theses
Microfluidics(uF) is the science of manipulating and controlling the fluids usually in the range of microliters (10-6L) to picolitres (10-12L). Physical parameters, such as surface tension and contact angle do not play a significant effect on macro scale but play a crucial role at the microscopic level. Microfluidics is viewed as an essential tool for life science research and flexible electronics. A deeper understanding of physical parameters of microfluidics would result in more efficient and lower cost devices (‘Lab-on-a-Chip’ devices) and foldable electronics. In short, the concepts of microfluidics can be used to reduce the cost, size, and ease of …
Disaster Site Structure Analysis: Examining Effective Remote Sensing Techniques In Blue Tarpaulin Inspection, Madeline G. Miles
Disaster Site Structure Analysis: Examining Effective Remote Sensing Techniques In Blue Tarpaulin Inspection, Madeline G. Miles
Theses
This thesis aimed to evaluate three methods of analyzing blue roofing tarpaulin (tarp) placed on homes in post natural disaster zones with remote sensing techniques by assessing the different methods- image segmentation, machine learning (ML), and supervised classification. One can determine which is the most efficient and accurate way of detecting blue tarps. The concept here was that using the most efficient and accurate way to locate blue tarps can aid federal, state, and local emergency management (EM) operations and homeowners. In the wake of a natural disaster such as a tornado, hurricane, thunderstorm, or similar weather events, roofs are …
Improving Asteroid Remote Sensing By Examining Past Martian Methods, James Dean King
Improving Asteroid Remote Sensing By Examining Past Martian Methods, James Dean King
Theses
Deep Space Remote Sensing is an ever-evolving field. The very first missions into deep space were explorations that utilized trial and error, as humanity faced a new frontier of unknowns. Over these 70 years of deep space exploration, much attention has been given to our three nearest celestial neighbors: the Moon, Venus, and Mars. Mars, in particular, has been the target of much observation and study due to it being a target for future colonization. Meanwhile, the areas beyond Mars have had comparatively less focus. Asteroids and objects beyond Mars offer many new horizons for humanity to study. By using …
Cryptic Hybridization In The Temperate Bamboos: Is Pleioblastus Simonii A Species Of Hybrid Origin?, Morgan Brown
Cryptic Hybridization In The Temperate Bamboos: Is Pleioblastus Simonii A Species Of Hybrid Origin?, Morgan Brown
Theses
Japanese river bamboo (Pleioblastus simonii, ‘medake,’‘kawadake’) is an ecologically important species of temperate bamboo native to Japan. This species is widely known and historically important in Japanese rural farm life. Based on morphological data, Japanese river bamboo is classified in Pleioblastus section Medakea (Poaceae: Bambusoideae) along with five other Japanese species, which are collectively considered to represent a phylogenetically distinct lineage. However, recent studies suggest that Japanese river bamboo may have arisen as a result of previously undetected hybridization (i.e., cryptic hybridization), while also calling into question the diversity of section Medakea. The role of hybridization in natural plant populations …
Christianity In Insular Artwork From The Seventh To Tenth Centuries, Alexandria White
Christianity In Insular Artwork From The Seventh To Tenth Centuries, Alexandria White
Theses
With the birth and spread of Christianity to the British Isles, there was a fusion between the different cultures that existed on these islands that resulted in a style known as Insular Art. These cultures are the Scottish Picts, the Irish Celts, the Anglo-Saxons, the Welsh, and the Vikings. In examining several works of art from these different cultures in this paper, the syncretism of Insular Art will be explored. Their traditionally Pagan symbols were given new meanings from Christianity as it spread. Through the study of various symbols and iconography employed in this art style, the author will establish …
The Role Of Physical Geographic Features In Video Games, Dexter Ferguson
The Role Of Physical Geographic Features In Video Games, Dexter Ferguson
Theses
This thesis examines how physical geographic features affect individuals when interacting with video game environments. There are very few studies on the geography of video games. I aim to bridge the gap between game studies and geography, a naturally occurring link. The observation of elements such as the geography of an area is critical when exploring an individual’s perception of a video game environment. Individuals interact with the geography of their location on a day-to-day basis, whether it be physical or human geography; how they can relate a video game’s geography to the real world dramatically affects their immersion. An …
Safe Water For All: A Multi-Modal Approach To North Alabama's Water Resources, Elijah Walker
Safe Water For All: A Multi-Modal Approach To North Alabama's Water Resources, Elijah Walker
Theses
Environmental degradation is a destructive force produced by the human disturbance of pollution. It is a phenomenon that gradually evolves landscapes over time resulting in irreversible outcomes. Environmental degradation physically affects spaces’ resources, objects, and inhabiting humans. This study observes the impacts of pollution beyond physical boundaries and how it affects human identity/sense of place through the utilization of geographic information systems. Specifically, it examines cultural identity developed through human experiences and connections to landscapes containing water resources. Following, pollution contaminates water resources disrupting experiences and connections thus causing the cultural identity to disappear. The case study applied to this …
Numerical And Theoretical Investigations Of Fractional Differential Equations, Sara Rafiq Al Fahel
Numerical And Theoretical Investigations Of Fractional Differential Equations, Sara Rafiq Al Fahel
Theses
Fractional calculus has been recently received huge attention from Mathematicians and engineers due to its importance in many real-life applications such as: fluid mechanics, electromagnetic, acoustics, chemistry, biology, physics and material sciences. In this thesis, we present numerical algorithms for solving fractional IVPs and system of fractional IVPs where two types of fractional derivatives are used: Caputo-Fabrizio, and Atangana-Baleanu-Caputo derivatives. These algorithms are developed based on modified Adams-Bashforth method. In addition, we discuss the theoretical solution of special class of fractional IVPs. Several examples are discussed to illustrate the efficiency and accuracy of the present schemes.
Deep Feature Learning And Adaptation For Computer Vision, Abu Md Niamul Taufique
Deep Feature Learning And Adaptation For Computer Vision, Abu Md Niamul Taufique
Theses
We are living in times when a revolution of deep learning is taking place. In general, deep learning models have a backbone that extracts features from the input data followed by task-specific layers, e.g. for classification. This dissertation proposes various deep feature extraction and adaptation methods to improve task-specific learning, such as visual re-identification, tracking, and domain adaptation. The vehicle re-identification (VRID) task requires identifying a given vehicle among a set of vehicles under variations in viewpoint, illumination, partial occlusion, and background clutter. We propose a novel local graph aggregation module for feature extraction to improve VRID performance. We also …
Performance Evaluation Of Minimum Quantity Lubrication (Mql) When Machining High-Performance Materials, Shafahat Ali
Performance Evaluation Of Minimum Quantity Lubrication (Mql) When Machining High-Performance Materials, Shafahat Ali
Theses
The manufacturing sector is among the fastest-growing in today's industrialized world. Manufacturers are concerned about increasing their competitiveness and profitability. Increasing the efficiency and sustainability of manufacturing processes is one way to improve productivity and improve profit margins. Learning about cutting conditions and how they affect machined surfaces and tool life can help improve productivity. Nowadays, the goal is not just to increase productivity but also to make processes more environmentally friendly and cleaner. This research aims to analyze the machinability of difficult-to-cut magnesium alloys through different cooling and lubrication strategies and their impact on the environment. This study conducted …
Using Machine Learning In Disaster Tweets Classification, Humaid Alhammadi
Using Machine Learning In Disaster Tweets Classification, Humaid Alhammadi
Theses
People share real-time updates on social media platforms (i.e. Twitter) when disaster occurs, this information is very valuable for disaster relief and response teams as it can alert them immediately in order to prioritize tasks. Text mining and Machine learning algorithm can scan the huge generated unstructured data on social media platforms such as Twitter, to spot such information through keywords and phrases that refers to disasters. One challenge that the algorithm might face is whether a tweet text is talking about a real disaster or uses those keywords as a metaphor, which can lead to huge mislabeling of tweets. …
Text Analysis Of Airline Tweets, Essa Altamimi
Text Analysis Of Airline Tweets, Essa Altamimi
Theses
By acting as a succinct summary, keywords and key phrases can be a useful tool for swiftly assessing enormous amounts of textual material. A "keyword" is defined as a "word that briefly and accurately characterises the subject, or an aspect of the subject, presented in a text," according to the International Encyclopaedia of Information and Library Science (Bolger et al., 1989) (Feather et al., 1996). People are more likely to complain when they are anxious, according to research (Bolger et al., 1989)(Meier et al., 2013), and moods are affected by time (Ryan et al., 2010). Due to this study, airlines …
Assessment Of Natural Hazards Impact On Heritage Sites In The United Arab Emirates (Uae) Using Geographic Information System (Gis), Abdulla Salem Ahmed Saeed Alyammahi
Assessment Of Natural Hazards Impact On Heritage Sites In The United Arab Emirates (Uae) Using Geographic Information System (Gis), Abdulla Salem Ahmed Saeed Alyammahi
Theses
The United Arab Emirates (UAE) pays significant attention to preserving its heritage sites and archaeological finds and treats them as a vital part of its culture, history, and economy. In recent years, the field of archaeology in the UAE has witnessed tangible and significant developments, with many government initiatives being devoted to establishing archaeological departments in all emirates. The firmly stated policy of these institutions is to preserve the UAE heritage sites and educate the public about their importance. However, these sites are vulnerable to natural hazards, considered one of the most critical threats to the UAE heritage sites. In …
On The Generalized Hardy-Littlewood Maximal Operator, Namarig Hashim Hassan
On The Generalized Hardy-Littlewood Maximal Operator, Namarig Hashim Hassan
Theses
No abstract provided.
Authenticated Key Establishment Protocol For Constrained Smart Healthcare Systems Based On Physical Unclonable Function, Abdalla Saleh Elkushli
Authenticated Key Establishment Protocol For Constrained Smart Healthcare Systems Based On Physical Unclonable Function, Abdalla Saleh Elkushli
Theses
Smart healthcare systems are one of the critical applications of the internet of things. They benefit many categories of the population and provide significant improvement to healthcare services. Smart healthcare systems are also susceptible to many threats and exploits because they run without supervision for long periods of time and communicate via open channels. Moreover, in many implementations, healthcare sensor nodes are implanted or miniaturized and are resource-constrained. The potential risks on patients/individuals’ life from the threats necessitate that securing the connections in these systems is of utmost importance. This thesis provides a solution to secure end-to-end communications in such …
Exploring Cycle 2 English Teachers’ Beliefs Toward Assessment Practices In The United Arab Emirates, Othaiba Salem Al Dhaheri
Exploring Cycle 2 English Teachers’ Beliefs Toward Assessment Practices In The United Arab Emirates, Othaiba Salem Al Dhaheri
Theses
The new language assessment policies in the UAE necessitate that English language teacher need to be cognizant about the new language assessment. The inseparable connection between learning and teaching is at the center of assessment today. This study tries to explore cycle 2 English language teachers’ beliefs toward their assessment practices in the UAE. The study seeks to understand teachers’ assessment practices, beliefs, and obstacles through two means: a semi-structured interview followed by a self-report questionnaire. The study employs an exploratory sequential mixed method design. In the first phase, a semi-structured interview is conducted with 6 cycle 2 English language …
Assessment Of High School Students’ Attitudes Towards Chemistry, Aya Hosameldeen Mostafa
Assessment Of High School Students’ Attitudes Towards Chemistry, Aya Hosameldeen Mostafa
Theses
The main purpose of this study is to assess the scientific attitudes of students towards Chemistry as one of the branches of science, in the context of the UAE. These attitudes are measured using three dimensions of scientific attitudes namely; social implications, the students’ Chemistry-related inquiries and their leisure interest in the subject. Additionally, this study examines the influence of categorical variables such as gender and students’ grade level on the development of the students’ attitudes towards the subject. An exploratory descriptive design is employed using a quantitative survey, to collect data from 192 high school students studying Chemistry in …
Uae Kindergarten Teachers’ Mathematical Beliefs And Self-Reported Practices, Mausmi Dilip Jadhav
Uae Kindergarten Teachers’ Mathematical Beliefs And Self-Reported Practices, Mausmi Dilip Jadhav
Theses
Research stresses that young children must be nurtured and encouraged to develop cognitive processes of higher order thinking skills from a young age in order to excel in later years. According to the joint position statement issued by the National Association for the Education of Young Children and the National Council of Teachers of Mathematics (2010), which was endorsed by the Ministry of Education, UAE, all kindergarten teachers should practice developmentally appropriate mathematics instruction to promote mathematical thinking. However, there is a paucity of research that reflects the beliefs and confidence of the UAE kindergarten teachers in facilitating developmentally appropriate …
Molecular Cloud Properties In High-Mass Star Forming Regions, Mohammed Essa Abdulla Ali Ahli
Molecular Cloud Properties In High-Mass Star Forming Regions, Mohammed Essa Abdulla Ali Ahli
Theses
Using high spatial resolution observation of 12CO (2−1) and 13CO (2−1) emissions, I present the molecular cloud properties of N42 in the Small Magellanic Cloud. The observations were taken using the Atacama Large Millimeter Array observations. I conducted a thorough analysis of molecular gas properties to understand how the cloud properties of N42 differ from those of Galactic clouds. My analysis shows that, in N42, the majority of CO emission appears clumpy, while molecular cores with YSOs exhibit greater linewidths and masses. Massive clump cores are associated with YSOs. Virial analysis of the 12CO and 13CO …
Intelligent Toolpath Sequence Optimization Approach For Infinite Production Lines, Thanveer Ahammed
Intelligent Toolpath Sequence Optimization Approach For Infinite Production Lines, Thanveer Ahammed
Theses
This thesis is concerned with developing a new mathematical model and software for finding the optimal toolpath for an infinite machine production line system. Existing total production time estimation for the Computer Numerical Control (CNC) machining method is solved either on a single machine or in a single operation. The combination of airtime and tool switching time consumes most of the total production time, requiring multiple operations and multiple machine production line systems. A hybrid GA technique along with a modified TSP algorithm was used to find the minimal nonproductive time in these systems. This proposed mathematical model is coded …
Single-Input Signature Register-Based Time Delay Reservoir, David Pastuch
Single-Input Signature Register-Based Time Delay Reservoir, David Pastuch
Theses
Machine learning continues to play a critical role in our society. The ability to automatically identify intricate relationships in large volumes of data has proven incredibly useful for problems such as automatic speech recognition and image processing. In particular, neural networks have become increasingly popular in a wide set of application domains, given their ability to solve complex problems and process high-dimensional data. However, the impressive performance of state-of-the-art neural networks comes at the cost of large area and power consumption for the computation resources used in training and inference. As a result, a growing area of research concerns hardware …