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Consumer Buying Behaviour Towards Organic Food In Sri Lanka: Imports From Australia, Nalaka Kaushayla Mohotti
Consumer Buying Behaviour Towards Organic Food In Sri Lanka: Imports From Australia, Nalaka Kaushayla Mohotti
Theses
The Australian organic agriculture industry is thriving, with 9.9% of its agricultural land certified organic and production concentrated in fruit, vegetables, meat, and dairy, collectively valued at over AUD 2 billion. At the same time, South Asia, including Sri Lanka, is experiencing significant growth in organic agriculture markets. In 1994, Chronic Kidney Disease of unknown etiology (CKDu) was discovered among Sri Lankan paddy farmers. Research in 2012 linked it to hard water, pesticides, and heavy metals, triggering a pesticide ban and the ‘A Pesticides Free Nation’ program. This study analyses consumer buying behaviour for organic food in Sri Lanka, focusing …
Bayesian Networks For Safety-Critical Systems, Joseph Mietkiewicz
Bayesian Networks For Safety-Critical Systems, Joseph Mietkiewicz
Theses
This thesis addresses a operational challenge in modern industrial operations: the increasing complexity of systems and the consequent cognitive burden on operators. As industrial technologies advance, the human-computer interface has become the primary conduit for information flow, playing a pivotal role in operational decision-making. However, the proliferation of data often leads to information overload, potentially compromising rather than enhancing operator performance. This research explores an approach to this pressing issue through the application of Bayesian networks as decision support systems in safety- critical scenarios. Our study employs a multi-faceted approach, combining theoretical modeling with empirical testing. Through collaboration with industry …
Characterization And Comparison Of Skin And Exoskeleton Microbiomes Of Stygobiotic Fauna And The Influence Of Environmental Variables On Microbiome Diversity And Composition, Bjorn Van Peterson
Characterization And Comparison Of Skin And Exoskeleton Microbiomes Of Stygobiotic Fauna And The Influence Of Environmental Variables On Microbiome Diversity And Composition, Bjorn Van Peterson
Theses
Caves and other subterranean ecosystems are among the most understudied ecosystems globally and house unique and ecologically important biodiversity. While several studies have characterized the microbial communities of respective cave systems, research on microbiomes of cave fauna has been limited. This study investigated microbiomes for aquatic cave fauna in the southern Cumberland Plateau of Tennessee and Alabama, USA. Exoskeleton and skin swabs were taken from three species of cave-dwelling crayfishes, two species of salamanders, and one cavefish. Bacterial operational taxonomic units (OTUs) identified in microbiomes of hosts included primarily members of the phylum Pseudomonadota, but also the phyla Acidobacteriota, Actinomycetota, …
Design, Development, And Analysis Of A Pulsed Power System Using A Thyristor To Fire A Coaxial Plasma Gun, Neil P. Laya
Design, Development, And Analysis Of A Pulsed Power System Using A Thyristor To Fire A Coaxial Plasma Gun, Neil P. Laya
Theses
A first of a kind fiber-optically controlled and thyristor switched coaxial plasma gun pulsed power system has been designed, built, and fired at up to 2 kV and 6.4 kA, with a 6.65 MW momentary peak power output from the capacitor. Total system firing jitter from initial digital signal to 90% peak current rise has been measured at 78.15 ns, representing 0.18% of the total pulse time of 44.10 µs. This includes both thyristor turn-on and coaxial plasma gun breakdown. Standard deviation of peak current over repeated firings has been measured to be 21.09 A (0.33%). The system has experienced …
Multi-Factor Mathematical Optimization For Healthcare Referral And Facility Placement, Mitchell Moody
Multi-Factor Mathematical Optimization For Healthcare Referral And Facility Placement, Mitchell Moody
Theses
This thesis addresses the challenge of optimizing patient referrals in healthcare systems by integrating clinical needs, geographic proximity, and dynamic infection risk. Healthcare referral networks (HRNs), which capture patient transfers between hospitals, serve as the foundation of the study. First, a recommendation algorithm is developed to assign patients by jointly considering clinical compatibility and logistical considerations like travel distance, striking a balance between quality and accessibility. Building on this, a reinforcement learning framework is proposed to dynamically adjust referral strategies for vulnerable patients by incorporating the evolving risk of hospital-acquired infections. Finally, long-term planning is explored through methods that recommend …
Utilizing Ground-Based Radar Analyses To Investigate Ocean-To-Land Differences In The Tropical Cyclone Wind Profile And Their Impacts On Tornadogenesis, Elizabeth M. Seiler
Utilizing Ground-Based Radar Analyses To Investigate Ocean-To-Land Differences In The Tropical Cyclone Wind Profile And Their Impacts On Tornadogenesis, Elizabeth M. Seiler
Theses
On 20 August 2008, the MAX radar was deployed southeast of the Jacksonville, FL WSR-88D radar to monitor the boundary layer before, during, and after the landfall of TS Fay. During the 57-hour deployment, MAX sampled around a tornadic rainband that produced at least one confirmed tornado. To illustrate TCBL changes across a coastal zone, VAD profiles from MAX and KJAX are compared, and a dual- Doppler analysis is performed. One key finding from the DDA was the consistent presence of southeasterly background flow, vertical vorticity, enhanced cyclonic shear zones, and minisupercells throughout the 1650-1725 UTC analysis period. The primary …
Generation Of True Random Numbers With Actively Stabilized, Low Dimensional Chaos, Aidan Barton
Generation Of True Random Numbers With Actively Stabilized, Low Dimensional Chaos, Aidan Barton
Theses
True Random Number Generators (TRNGs) are heavily used and their design often relies on empirical validation from statistical test suites. Reliance solely on empirical observations to estimate entropy rates for cryptographic applications introduces risk, as accurately inferring long-term correlations demands prohibitively large datasets. Empirical validation of TRNGs must be supplemented by strong theoretical backing to justify estimated information theoretic quantities. We present an electronic, hardware TRNG scheme that produces a maximally random output guaranteed from first principles. This TRNG uses a pulse-width based hardware realization of an iterated map that produces physical entropy via low-dimensional chaotic dynamics. The simple dynamics …
Chaos-Based Thumbnail-Preserving Image Encryption, Sara Mog
Chaos-Based Thumbnail-Preserving Image Encryption, Sara Mog
Theses
As the landscape of image data usage continues to change, cloud services need to store data securely, reliably, and at times maintain a reasonable level of human usability. Thumbnail-preserving encryption (TPE) is a niche area of image encryption research that provides a balance between security and privacy. A TPE scheme encrypts an image in such a way that the thumbnail of the encrypted image is the same as or similar to the thumbnail of the original image. This work presented a chaos-based TPE scheme and explored potential pitfalls encountered when using chaos for encryption. The TPE scheme used a chaos-based …
Structure/Property/Processing Of A 3d Printed Self-Healing Polymer Blend Based On A Thermoplastic Healing Agent, Vincent Mei
Structure/Property/Processing Of A 3d Printed Self-Healing Polymer Blend Based On A Thermoplastic Healing Agent, Vincent Mei
Theses
Self-healing polymers can regain mechanical performance following damage, offering increased material durability and sustainability. This thesis establishes structure/property/processing relationships for a 3D printable extrinsically self-healing polymer based on a UV polymerizable thermosetting resin system blended with a low temperature thermoplastic healing agent. This work serves as the first example of a vat polymerization 3D printed soft, low Tg low-melt thermoplastic extrinsically self-healing polymer blend. This development enables high resolution fabrication of complex geometries with self-healing functionality. This strategy of imbuing self-healing properties onto vat polymerization resins will enable functionality in many application spaces including aerospace, biomedical, soft robotics, coatings, and …
Predicting Bus Ridership In Dubai Using Advanced Machine Learning Models, Fatma Almheiri
Predicting Bus Ridership In Dubai Using Advanced Machine Learning Models, Fatma Almheiri
Theses
In rapidly urbanizing cities, the public transport systems have to be efficient and reliable with proper demand forecasting to guarantee customer satisfaction. This paper explores how evidence-based machine learning tools can be used to forecast weekly bus ridership in Dubai, using a dataset of more than 10 million trip-level boarding observations between June 2013 and July 2014. It was aggregated to 25,195 route-week observations, and preprocessed with temporal feature engineering, lag variables and rolling statistics. Three predictive models have been tested: Linear Regression (as a baseline), Random Forest and XGBoost (as an ensemble method). Mean Absolute Error (MAE), Root Mean …
Internet Of Things (Iot) In Developing Smart City Traffic Management Systems In Dubai, Ayesha Ahmed Alnuaimi
Internet Of Things (Iot) In Developing Smart City Traffic Management Systems In Dubai, Ayesha Ahmed Alnuaimi
Theses
Traffic congestion is an ever-present problem affecting most cities, negatively affecting the economy, the environment, and people’s quality of life. Dubai is one of the rapidly growing cities in terms of urbanization and the usage of technologies, and it is aware of the ability of IoT to design intelligent city traffic control systems to resolve this problem. Consequently, this study sought to assess the implication of IoT in improving traffic management systems within the Emirate of Dubai, gleaning data concerning the factors that have a direct impact on the implementation of the IoT, the challenges, and barriers met during the …
Automated Prioritization And Routing Of It Support Tickets Using Machine Learning, Mohamed Almarzooqi
Automated Prioritization And Routing Of It Support Tickets Using Machine Learning, Mohamed Almarzooqi
Theses
The increasing complexity of IT service management underscores the need for efficient and scalable solutions to manage IT tickets. This thesis explores the application of machine learning techniques for automated prioritization & routing of IT tickets. So by leveraging publicly available dataset from Kaggle containing IT ticket the study aims to reduce manual intervention, improve resolution times, & optimize resource allocation within IT environments. The study will evaluate various machine learning algorithms, including SVM, Random Forest, & ensemble models, for their ability to classify and prioritize tickets accurately. to accurately classify and prioritize tickets. Advanced data preprocessing techniques like TF-IDF …
Why Believe An Unreliable Jailhouse Informant? : The Role Of Prosecutorial Vouching In Juror Decision-Making, Libbi A. Geoghagan
Why Believe An Unreliable Jailhouse Informant? : The Role Of Prosecutorial Vouching In Juror Decision-Making, Libbi A. Geoghagan
Theses
The present study asked jurors to explain why they believe jailhouse informant (JI) testimony, and investigated the role of prosecutorial vouching (i.e., the assumption that any witness called by the prosecution is credible) in jurors’ decision-making. A total of 89 juryeligible participants read a trial summary in which the JI was either absent, reliable (i.e., testified to consistent and accurate crime facts), or unreliable (i.e., accurate facts during trial, but inaccurate facts in initial statement). Primary results were that (a) in open-ended responses, participants assumed that the prosecution would not allow a dishonest or uncredible JI to testify (i.e., prosecutorial …
Sex And Eugenics : A Memoir In Poetry And Prose, Amy Vaillancourt
Sex And Eugenics : A Memoir In Poetry And Prose, Amy Vaillancourt
Theses
This memoir is a work of hybrid creative nonfiction which incorporates the genres of essay, memoir and poetry. The memoirist uses multiple forms to address topics from their experience with Turner Syndrome, accessing medical care, medicine and coming to identify as disabled among many aspects of themself. The memoir asks the question; how do we live in a world where both sex and eugenics exist? It starts with the local -- the experience of one individual and expands into something farther reaching – the experiences of others over time. It begins with the perspective and understanding of the author’s own …
Nonlinear Dynamics And Data Driven Modeling, Mattan Tseng
Nonlinear Dynamics And Data Driven Modeling, Mattan Tseng
Theses
The research areas of dynamics and data-driven modeling overlap in existing literature. Some research uses dynamical systems as a test bed while developing new modeling methods. Other papers attempt to use data-driven modeling as a tool to better understand, or potentially predict the behavior of a dynamical system. The primary goal of this thesis is to further the symbiotic relationship between these two research areas. Firstly, this paper provides a concrete example of how a basis function decomposition of the Lorenz system can provide a quantitative performance metric for data-driven modeling methods. Secondly, a novel application of an existing modeling …
Experimental And Numerical Investigation Of Combined Mechanical, Electrical, And Thermal Response Of Lr61 Alkaline Batteries At Various Loading Rates, Abigail C. Schauer
Experimental And Numerical Investigation Of Combined Mechanical, Electrical, And Thermal Response Of Lr61 Alkaline Batteries At Various Loading Rates, Abigail C. Schauer
Theses
Lithium batteries are present in most electronic devices and machines but pose a serious threat to users if they are over heated, over charged, or otherwise physically damaged. In order to better understand the underlying causes of lithium battery fires, testing procedures at various rates of low, intermediate, and dynamic are established with less volatile 1.5 V LR61 alkaline batteries. The various rates are to cover representative loading rates from scenarios ranging from dropping a cell phone a short distance to a high-rate drone collision with an aircraft. Material characterization is also done on the metal casing to better understand …
Deep Learning Time Series Prediction Strategies For Efficiently Emulating Noah Land Surface Model Soil Moisture Dynamics, Mitchell T. Dodson
Deep Learning Time Series Prediction Strategies For Efficiently Emulating Noah Land Surface Model Soil Moisture Dynamics, Mitchell T. Dodson
Theses
This work examines the ability of deep learning time series generative models to accurately and efficiently emulate the hourly temporal dynamics of the Noah Land Surface Model (Noah-LSM) out to a 2 week forecast horizon, given atmospheric forcings and static parameterization provided by the second phase North American Land Data Assimilation System (NLDAS-2) framework. Results from multiple neural network architectures are compared alongside variations in prediction target, loss function characteristics, and model properties. The most performant model types are subsequently evaluated with respect to forecast distance, annual seasonality, and against a variety of regional scenarios, including several event case studies. …
Ai Enabled Scrabble Scoring System : Design And Implementation, Aditya Narayan Jha
Ai Enabled Scrabble Scoring System : Design And Implementation, Aditya Narayan Jha
Theses
The scope of this thesis is to present an AI-powered system for automatically scoring real-world Scrabble games using computer vision and deep learning. To achieve this purpose a DeepLabv3 model is trained to segment the board from top- down images, while an EfficientNet-B0 classifier identifies individual tile characters, including blank and empty tiles. The system continuously tracks the gameplay by detecting newly placed tiles and applies official Scrabble rules to compute scores, including crosswords, bonus tiles, and bingo logic simultaneously. The scoring engine supports multi-move gameplay, player turns, and endgame handling. All moves are visualized with a color-coded board and …
Unbound Subgenres : Overlapping Age Categories In Contemporary Romance And Their Implications, London Stevenson
Unbound Subgenres : Overlapping Age Categories In Contemporary Romance And Their Implications, London Stevenson
Theses
This thesis aims to highlight the importance of genre labelling in contemporary romance fiction and the larger implications that come from the misuse of labels. Considerations of the genre based on narrative elements (Regis, 2003; Michelson, 2022), age categorization (Cart, 2011; Tribunella, 2007), and emerging market conditions (McAlister, 2018; Stewart, 2013) have generated considerable discussion over the last twenty-five years. While each of these scholars draws important conclusions about romance and its subgenres, none of them consider the significance of reader opinion, which is now enhanced due to literary digital spaces. In this paper, I examine nine romance novels for …
Evaluation Of Strain-Rate Sensitivity Of 3k70pw/Inf114 Woven Fiber-Reinforced Composite Material, Elias James Gerstein
Evaluation Of Strain-Rate Sensitivity Of 3k70pw/Inf114 Woven Fiber-Reinforced Composite Material, Elias James Gerstein
Theses
Fiber reinforced composites have seen continued use in aerospace and automotive industries due to their inherent high strength-to-weight ratios, which makes them ideal choices for vehicles where fuel economy is an important design factor. However, it is necessary for structures in these industries to preserve the life and safety of passengers in the event of a crash; thus, crashworthiness of these vehicles must be tested. Many finite element material models for simulating composite materials exist, but few take strain rate effects into account, which is important for accurate modeling of dynamic crash scenarios. LS DYNA MAT_213 is a material model …
A Mutually Exclusive 3d Convolution Based Time Dilation Framework For Future Frame Prediction In Video Streams Of Natural Events, Benjamin Robinson
A Mutually Exclusive 3d Convolution Based Time Dilation Framework For Future Frame Prediction In Video Streams Of Natural Events, Benjamin Robinson
Theses
In this thesis, a framework for predicting future frames from videos of naturally occurring processes will be presented. This is achieved by learning the underlying physical laws of the natural process through the exploitation of spatiotemporal features from the frames of the video. Our framework defines windows containing frames at varying time intervals, which we call dilations, and uses them to predict future frames using a 3D convolutional neural network (CNN). The network architecture accepts six time-dilated windows of input video frames and computes spatiotemporal features for each window maintaining the exclusion of the resulting features across three phases of …
Exploration Of Various In-Space Fuels With Differing Characteristic Timescales For Small-Scale Rotating Detonation Rocket Engines, Raj Tejas Dave
Exploration Of Various In-Space Fuels With Differing Characteristic Timescales For Small-Scale Rotating Detonation Rocket Engines, Raj Tejas Dave
Theses
This thesis summarizes the performance of a small-scale rotating detonation rocket engine (RDRE) using methane or hydrogen as the fuel with oxygen as the oxidizer. Specifically, a 25 mm RDRE with a 5 mm annular width and 31.2 mm length is experimentally evaluated at varying equivalence ratio for a fixed total mass flow rate of 0.076 kg/s, as well as varying total mass flow rate for fixed equivalence ratios of 1.25 and 1.00. Experimental measurements for the hot-fire tests include thrust, chamber pressure, specific impulse, and detonation mode parameters. For both sensitivity studies, hydrogen outperforms methane with a peak thrust …
Genomic And Metabolic Network Properties In Thermophiles And Psychrophiles Compared To Mesophiles, Amal Saeed Alblooshi
Genomic And Metabolic Network Properties In Thermophiles And Psychrophiles Compared To Mesophiles, Amal Saeed Alblooshi
Theses
Thermophiles and psychrophiles are extremophilic microorganisms that thrive in harsh conditions. Thermophiles are mostly located in hot springs, prosper in high temperatures. Psychrophiles thrive in extremely cold environments, including polar regions and deep-sea habitats. Although they play a crucial role in biotechnology and environmental research, their mechanisms of adaptation are still not well understood. The main objective of this thesis is to understand the genomic characteristics and metabolic network features in thermophiles and psychrophiles compared to mesophiles. The genomes of 59 species among thermophiles, psychrophiles, and mesophiles were collected from the NCBI database. These genomes were used to analyze their …
The Table, Ruichu Yu
The Table, Ruichu Yu
Theses
This thesis explores the relationship between identity formation, emotional rupture, and social performance through the symbolic framework of the dining table to examine how everyday rituals shape and destabilize the self. Beginning with a personal history of crafting prosthetic ears at the request of the artist’s otologist father, the project emerges from an initial desire to heal others and confronts the emotional weight of restoration. As the work evolves, this act of repair becomes a catalyst for the artist’s own confrontation with psychological fragmentation, shifting the focus from medical mending to the deconstruction of selfhood. Drawing on theories of performativity …
Aqualoop (The Four Stages Of Earth's Water Cycle), Precious Onwubuche
Aqualoop (The Four Stages Of Earth's Water Cycle), Precious Onwubuche
Theses
This research investigates the development of an educational initiative that illustrates the water cycle using real-life simulations and moving graphics targeting high school students and older audiences to connect theoretical knowledge with hands-on learning in Earth science education. The initiative utilises visual design strategies to turn intricate hydrological processes into an engaging educational journey. The significance of this project is underscored by statistics showing that fewer than 30 percent of secondary school students master Earth science principles, such as the water cycle. This is based on 2019 information from the National Assessment of Educational Progress (NAEP). Additionally, and notably, more …
Towards Secure Runtime Auditing Of Remote Embedded System Software, Adam Ilyas Caulfield
Towards Secure Runtime Auditing Of Remote Embedded System Software, Adam Ilyas Caulfield
Theses
Modern embedded systems are increasingly deployed in various settings to execute critical sensing/actuation tasks. At the lower end of the scale, they are designed with low-cost and energy-efficient microcontroller units (MCUs) that lack the common security features of general-purpose processors. To assess their state in a cost-effective manner, Control Flow Attestation (CFA) methods provide means for a trusted device operator (i.e., the Verifier -- Vrf) to detect attacks that compromise the integrity or runtime behavior of a remotely-deployed MCU (i.e., the Prover -- Prv). This is achieved by a root-of-trust (RoT) in Prv recording an authenticated trace (CFLog) of the …
Neuro-Evolution For Multivariate Time Series Anomaly Detection, Aryan Jha
Neuro-Evolution For Multivariate Time Series Anomaly Detection, Aryan Jha
Theses
Given the exponential growth of data in various sectors, the timely identification of anomalies has become crucial in mitigating risks such as financial losses and data breaches. This research focuses on advancing multivariate time series anomaly detection through the innovative application of neuro-evolutionary methods. Utilizing the Evolutionary eXploration of Augmenting Memory Models (EXAMM) algorithm, the study automates the design and optimization of Long Short-Term Memory (LSTM) autoencoder networks, enabling enhanced forecasting capabilities in recurrent neural network architectures. Leveraging these networks along with a One-Class Support Vector Machine (OCSVM) to generate boundary thresholds, this project delivers a robust and scalable procedure …
Domain-Specific Customization For Improving Speech To Text, Zubin Mario Tobias
Domain-Specific Customization For Improving Speech To Text, Zubin Mario Tobias
Theses
The advent of transformer-based models has revolutionized natural language processing, bringing remarkable improvements in tasks like automatic speech recognition (ASR). Inspired by these advancements, this thesis explores the optimization of a transformer-based ASR model to improve transcription accuracy in educational settings, particularly for lecture content. The goal of this research is to provide real-time, high-accuracy captions that enhance accessibility for all students, while offering a cost-effective solution for educators. To assess the potential of domain-specific fine-tuning, Whisper-small underwent two phases of fine-tuning. In the first phase, it was finetuned on care- fully selected, publicly available datasets: SpeechColab’s Gigaspeech-XS [39], AMI …
How Smart City Growth Principles Can Be Adopted In The Uae To Solve The Local Housing Problems?, Shaima Abdulla Alblooki
How Smart City Growth Principles Can Be Adopted In The Uae To Solve The Local Housing Problems?, Shaima Abdulla Alblooki
Theses
Shaikh Zayed Housing Program “SZHP” is the governmental program that is responsible for local housing in the UAE. The program’s main aim is to offer a variety of housing services such as loans, grants, and ready-to-move houses. However, both the continuously growing urban population and liveability challenges are impeding the program to meet its goal. As mentioned on SZHP’s official website “We should continue to explore new ways to establish informed dialogue with different groups of society and to ensure adequate housing for national families, in achieving stability and community development by meeting future needs” (SZHP, 2022 ). Accordingly, this …
Predictive Policing - Leveraging Cctv Data And Ai For Crime Hotspots, Maitha Ahmad
Predictive Policing - Leveraging Cctv Data And Ai For Crime Hotspots, Maitha Ahmad
Theses
This thesis explores fine-grained sentiment analysis in the context of police social media posts, leveraging hybrid approaches to manage the rapid flow of big data and mitigate its negative impact on youth. As social media becomes a primary medium for public interaction, understanding sentiment within police-related posts is crucial for law enforcement agencies to gauge public opinion and address community concerns effectively. The rapid dissemination of information and the potential for negative sentiments to spread swiftly pose significant challenges, particularly for young audiences. The research begins with a comprehensive review of existing sentiment analysis techniques and their applicability to large-scale …