Digital Commons Network^™

Bitcoin Short-Term Price Prediction Using Time Series Analysis, Alanood Alkamali

Theses

This thesis explores the application of Autoregressive Integrated Moving Average (ARIMA) model to predict Bitcoin prices, a prominent and volatile cryptocurrency. The research falls within the context of financial forecasting, focusing specifically on the cryptocurrency markets. The primary research question is: “Can time series analysis be used to predict the future price of Bitcoin?” To answer this question, historical Bitcoin daily price data from 17/09/2014 to 17/09/2023 was obtained from Kaggle and analyzed. The study employs ARIMA modeling techniques to capture the autocorrelation, seasonality, and trend present in Bitcoin price time series. As a prerequisite for ARIMA modeling, the data …

Frequency Multiplication Of Microwave Signals Via The Photonic Domain, Mohamed R. Maafa

Theses

Microwave signals play key roles in modern communication systems and frequency multiplication provide a way to create higher microwave-signal frequencies. Using the photonics domain to perform frequency multiplication can, in principle, take advantage of the low loss and high bandwidth features of the photonic domain. However, most research to date is limited by photonic system having too many active components, complicated means of frequency selectibility, and reliance on filters. I explore, model, and experimentally demonstrate new techniques of microwave signal multiplication, leveraging the notions of polarization diversity and multiplexing in the photonic domain. For doubling and quadrupling techniques, I demonstrate …

Fast And Reliable Authentication Method For Indoor Constrained Drones, Fatima Ali Al Nuaimi

Theses

Over the last twenty years, the commercial sector of Unmanned Aerial Vehicles has been growing exponentially, owing to their rapid deployment, high mobility, and the number of applications in the industry field such as military, transportation, critical infrastructures, as well as in the academic field for research purposes. One of the main communication systems adopted by the UAVs relies on transmitting wireless signals.

In particular, UAVs are adopted for indoor use-case scenarios, such as warehouse inventory applications and indoor building inspections. They need to transmit control messages and sensitive data by leveraging an efficient, short-range, and secure communication channel to …

Cfd Analysis Of Multi-Stage Phase Change Material For Latent Thermal Energy Storage In Solar Power Plants, Ahmad Wahbi Omari

Theses

The integration of latent thermal energy storage into concentrated solar power plants represents a promising solution for efficiently harnessing excessive solar energy during daylight hours and subsequently utilizing it during the nighttime when solar energy generation is limited or non-existent, all while catering to consistent energy demands. The core objective of enhancing latent thermal energy storage revolves around elevating its thermal capacity and minimizing the melting time, thus making it a more effective energy storage solution. This is achieved by employing three distinct organic phase change materials: Octadecanoic (PCM1), RT58 (PCM2) and Dodecanoic (PCM3), each characterized by variations in their …

Investigating The Mass Mortality Induced Factors Of Pearl Oyster (Pinctada Radiata) At Abu Dhabi Pearls Farm, Uae, Hamad Ahmed Almansoori

Theses

The aquaculture of shellfish plays a crucial role in enhancing maritime environments by mitigating algal blooms and improving water quality through the filtration of organic matter, nutrients, and bacteria. This study investigated the environmental factors influencing oyster (Pinctada radiata) mortalities through a comprehensive analysis of water quality in Al Mirfa and Al Mughirah farming sites of Abu Dhabi (UAE), from February 2021 to February 2022. To reach such understanding of the main factors led to mass mortalities of cultivated oysters, different monthly sampling and both chemical and biological analyses of the farm water, sediments as well as for both living …

Methodology, Deployment, And Performance Of Pico Balloons In Antarctica, Todd Mckinney

Theses

During the 2022/2023 Antarctic summer, eight pico balloon flights from Neumayer Station III unveiled insights into Antarctic troposphere/stratospheric winds (9 - 15 km AMSL). The most impressive flight lasted an astounding 98 days, completing eight circumnavigations of the Southern Hemisphere. Flight data indicated zonal velocities from -50 to 250 km/hr and meridional velocities of ±100 km/hr, with total wind speeds from 2.0 to 270 km/hr. Pico balloons can ascend due to convection, altering their float density. They also drift further south than larger stratospheric balloons, reaching latitudes close to the south pole. This study showcases the transformation of budget-friendly party …

Query Augmentation For Information Retrieval (Ir) Using Large Language Model (Llm), Anish Bhusal

Theses

In the context of exponential data growth, the efficient retrieval of information remains a known challenge. One key problem lies in bridging the gap between the search query and the information available. This thesis introduces a framework for information retrieval with the help of large language models (LLMs) along with query augmentation. Given a query, its sub-queries are created, using a fine tuned Seq2Seq (sequence to sequence) model through a technique called knowledge distillation. Different prompting methods are applied to produce an efficient query graph. The graph generated is then fed through a retrieval augmented generation (RAG) pipeline to respond …

Establishment And Validation Of A Gas Chromatography-Mass Spectrometry Analytical Method For Targeted Metabolomics: Towards Comprehensive Profiling Of Metabolic Signatures, Ayan Barua

Theses

This research aims to establish advanced analytical methods for targeted metabolomics using Gas-Chromatography-Mass Spectrometry (GC-MS). The focus is on quantifying key metabolites involved in specific metabolic pathways, optimizing sample preparation, and ensuring rigorous validation of method development parameters. By targeting thirteen specific metabolites, the research seeks to enhance metabolite extraction efficiency and analytical sensitivity. Analytical parameters such as selectivity, specificity, range, limit of detection, and limit of quantification were evaluated. This study's findings will contribute to a more precise understanding of metabolic alterations in disease states and improve the robustness of GC-MS-based metabolomics.

Enhanced Suppression Of Stimulated Brillouin Scattering In High Energy Fiber Lasers Through Novel Chaotic Phase Modulation, Zachary Helton

Theses

Stimulated Brillouin scattering (SBS) poses a significant challenge in the development of high-power, single-mode continuous-wave fiber lasers. SBS occurs when the laser intensity is sufficient to generate acoustic vibrations in the fiber, leading to the reflection of light and limiting the maximum achievable power. Spectral broadening of the laser linewidth is a common SBS suppression technique. This thesis presents a novel approach using sine waves phase-modulated by chaotically generated noise to achieve improved SBS suppression. Experimental results demonstrate that this method achieves flatter and broader optical linewidths compared to traditional white noise modulation, even at lower power levels. This approach …

Complexity, Grouping, And Similarity: Effects On Numerosity Estimations, Keighly Harris

Theses

This study looked at the effects of visual features like complexity, grouping, and similarity on numerosity estimations. I hypothesized that complex visual stimuli would be more difficult to accurately estimate than simple visual stimuli. Additionally, I hypothesized that stimuli that were visually similar or displayed in spread out, distributed patterns would have more accurate estimations compared to visually random or closely grouped stimuli. Lastly, this study was designed to assess the combined effects of these visual features on numerosity estimation accuracy. Participants were asked to briefly look at images displaying groups of items containing these visual features, estimate the number …

A Study Of The Quantum Edge Extraction Technique Using Bitplane-Based Quantum Boolean Image Processing Algorithm, Sowmik Kanti Deb

Theses

Quantum image processing (QIMP) uses quantum information processing to create and work with quantum images. Due to the inherent properties of quantum computation, QIMP technologies have the potential to surpass their classical computing equivalents in terms of computing speed and storage requirements. In this thesis, we investigated quantum image edge detection, which is a fundamental tool used in image processing for feature detection and extraction. Quantum edge detection can exploit quantum mechanics' superposition and entanglement properties to perform operations simultaneously on all pixels and accelerate the process. To this end, we adopted the bitplane based framework of Quantum Boolean Image …

Application Of A Scale Resolving Turbulence Model To A Jet In Supersonic Crossflow, Noah Schwalb

Theses

The Partially-Averaged Navier-Stokes (PANS) methodology is applied to variable-density flow to derive the Blended PANS (BPANS) model. A supersonic jet-in-crossflow problem is numerically simulated using the BPANS model to show its capabilities in a variable-density flow with complex physics. The shock systems and vortex structures of this problem observed during experiments are numerically reproduced. The time-averaged Mach number and streamwise velocity contours show good agreement compared to LES and experimental data. The streamwise and wall-normal velocity profiles, wall pressure distribution along the flat plate, and trajectory of the jet are compared to LES and experimental data to show that BPANS …

Ambient Temperature Modelling With Ecostress And Private Weather Stations, Gaurav Khatri

Theses

This thesis explores the development and application of a novel data architecture for predicting ambient temperatures across US cities, focusing on integrating multi-source data i.e. ECOSTRESS land surface temperatures, urban surface properties, and crowdsourced weather data. The methodology is designed for scalability and adaptability across different urban regions, employing rigorous data quality control to enhance prediction accuracy. The validation of this model across diverse urban settings, demonstrated through rigorous RMSE comparisons and spatial mapping, validates its superiority over traditional models. Through experiments in diverse climatic conditions in Madison, Wisconsin, and Las Vegas, Nevada, the study assesses the model’s generalizability and …

Multilabel Defect Classification Using Graph Neural Networks For Autonomous Visual Inspections, Md Sazzad Hossen

Theses

Visual inspections of safety-critical systems are crucial in reducing the risk of equipment failures, downtime, and loss of life. This nondestructive testing (NDT) method uses a portable borescope or camera along with other sensors directly or mounted on robotic platforms to inspect difficult-to-access areas with ease, minimum time, and cost. Although state-of-the-art visual inspection platforms are equipped with sensors from multiple modalities, the inspection tasks still require human subject matter experts to identify defects and analyze them. This jeopardizes human safety in a hazardous work environment in energy industries, as well as the extended time for inspection and human error. …

Cybernetic Hustle A Hard-Boiled Science Fiction Short Story, Eric Morris

Theses

In a world where body enhancement technology, or "cybernetics," should allow for exponential human progress, the gap between social classes is as wide as ever. A team of cybernetic bootleggers seek to even this playing field by providing low-cost implants to the working poor. Their operation becomes threatened when other underworld groups begin to raise police suspicions, but in this world, the cops may be more corrupt than the criminals. It is up to the team to expose the threat to their business, stay under the radar of the law, and risk their own futures in order to preserve their …

Economical And Environmental Evaluation Of Non-Residential Demand Response In The European Transition To Zero-Carbon Energy, Markus Fleshutz

Theses

To meet climate objectives, major energy consumers with local multi-energy systems (L- MESs) must transition to renewable energy sources soon. The variability of renewable energies requires increased operational flexibility for integration. In this context, demand response (DR), a strategy in which electricity consumers adjust their load profiles in response to incentives, has become crucial, offering cost-effective flexibility. It supports L-MESs in integrating renewable energy, reducing decarbonization costs, and enhancing resilience. However, quantifying the economic DR potentials for L-MESs under carbon emission constraints is complex, especially when considering investment options in distributed energy resources. This complexity hinders the rapid adoption of …

Atoms And Bits, Exploring The Use Of Data Physicalization And Augmented Reality To Learn-Through-Data In The Classroom, Rebecca Noonan

Theses

In today’s world we interact with data daily, whether it is on our phones, smart watches, websites, newspapers, or paper bills. Some have even proclaimed, ‘Data as the new gold.’ As data is an ever growing and important part of adult lives, this study was motivated to initiate the research presented here by questioning how we can expose children to data, in a way that will excite their early education, With this in mind, the aim of this research is to explore how we can make ‘learning through data’ a more interactive, engaging and positive activity by using modalities beyond …

Beginnings: Nsw Teachers' Views On The Early Stages Of Implementing A New National Curriculum, Julie-Anne Seach

Theses

This PhD study researched NSW teachers’ conceptions of curriculum change after the introduction of a new Australian national curriculum. One key rationale for the development of a national curriculum in Australia was to raise the standard of education by providing excellent curriculum to students in all Australian states and territories. However, educational standards improve through a combination of many factors, including quality teaching.

A curriculum’s success is dependent on the teachers who implement it. While the curriculum itself garnered considerable attention, how classroom teachers responded to it was likely to be a contributing factor to its overall success. Yet, there …

Young Children's 21st Century Mathematical Skills And The Role Of The Early Childhood Environment In Developing These Skills, Mistelle Moore

Theses

This research examined the preparation of young children in an Early Years school environment in the development of 21st Century mathematical skills including critical thinking, problem-solving, innovation, collaboration, creativity, and communication. The research used a field-based case study using qualitative data collection methods, and the data were reviewed using thematic analysis. The research explores the pedagogical strategies employed by an Early Years teacher and the interplay of various stakeholders in nurturing 21st Century mathematics competencies among young learners. Key findings of the research indicated that there were eight elements that Early Years teachers should apply in their mathematics lessons as …

A Paradox Theory Approach To Investigating Individual Level Responses To Corporate Social Responsibility In Small To Medium Enterprises, Muhammad Abdulsater

Theses

In Australia, small and medium-sized enterprises (SMEs) occupy important positions within their communities, contributing to employment and national economic growth. Despite their significance, it remains unclear how SME owners, as individuals, navigate and respond to the tensions arising from their unique business characteristics and the adoption of social and environmental activities. This research aims to bridge this knowledge gap by investigating how SME owners manage and respond to paradoxical tensions in implementing social and environmental responsibility practices within the SME context. The conventional definition of corporate social responsibility (CSR) does not integrate with the lexicon or landscape of SMEs. This …

The Perception Of Year 11 Students In Catholic Secondary Schools Towards Christian Service-Learning, Salvatore Pietro De Luca

Theses

The purpose of this research was to firstly, explore the perceptions of Year 11 students in four Catholic secondary schools in Western Australia towards Christian Service-Learning (CSL), and secondly to assist improvement in the delivery of CSL programs through an understanding of the students’ perceptions. The study explored Year 11 student perceptions regarding their understandings of CSL, as well what they perceived to be the benefits, challenges, and impacts of participating in a CSL program. A key informant (KI) from each school provided contextual understanding about the CSL program within their school and how the program is delivered within the …

Spectropolarimetric Properties Of Vortex Retarders, Ella Elizabeth James

Theses

Vortex retarders are unique optical elements that create a uniform electric field phase retardance, but the traditional fast axis varies azimuthally over the area of the optic. This affects the radial and azimuthal polarization components of the incoming beam. The vortex retarders discussed here generate TEM10 and TEM20 Laguerre-Gaussian beams. While several varieties of these TEM10 and TEM20 vortex retarders exist, designed to function at specific wavelengths–and a few studies have reported their use at those wavelengths–almost no data exists detailing their polarimetric properties outside those wavelengths. Using a Mueller matrix spectropolarimeter with dual-rotating retarders, the polarization properties of four …

Generation Of True Random Numbers With A First Order Chaotic Circuit, Austin Davis

Theses

True randomness backed by first principles theory is surprisingly rare in physically implemented circuit for cybersecurity applications. This thesis provides an illustrative case of a chaotic one-dimensional map circuit with a design driven by a need for rudimentary theory concerned with the limits of its entropy production. Analysis, simulation, and hardware measurements are evaluated against statistical randomness tests issued by the National Institute of Standards and Technology. Interestingly, the results provided here highlight strong relationships between first principles theory of design and measured results when varying parameters. We observe matching characteristics between analytic, simulated and measured hardware results for NIST …

Assessing Learning Outcomes In Electrical Engineering Using Natural Language Processing: A Comparative Analysis Of Student And Employer Evaluations, Toka Khalil

Theses

The Co-op program is a graduation requirement for all majors in RIT Dubai. Just like any course, Co-op has also learning programs that is different from one major to another. The academic departments ensure that those learning programs are being achieved throughout the co-op duration that the student goes for to complete the requirement. By end of each co-op duration, the student completes a student evaluation form which consists of questions that are supposedly related to the learning outcomes of the academic program. At the same time, also the employer evaluation which needs to be filled by the employer, includes …

Predictive Methods And Data Pattern Analysis For Reducing Car Plate Theft, Noor Alzayani

Theses

The project titled " Predictive Methods and Data Pattern Analysis for Reducing Car Plate Theft" seeks to provide innovative solutions to combat car plate theft. The project contains data of 6500 thieves who have stolen number plates and were involved in various other types of criminal activities by putting that number plate in their vehicle. The data collected for the present project is from the emirates of Dubai. It contains information related to thieves age, education, nationality, type of crime committed, area in which crime is committed, number of crimes committed, timing of crime, residential status of criminal, visa status, …

Deep Learning Approach For Robust Structural Health Monitoring Using Guided Lamb Wave Responses, Sameer Gopali

Theses

Guided Lamb waves offer a promising solution for the early detection of internal damages in structures due to their high sensitivity to small damages. However, noise can adversely impact the development of data-driven models for damage detection, leading to inaccurate monitoring systems. This thesis explores deep learning techniques to robustly predict the location and severity of damage in cantilevered beams using noisy guided wave responses. Initially, Multi-Layer Perceptron (MLP) is trained with frequency domain features to achieve robust performance against noisy data. Further performance improvement is achieved using end-to-end learning models, which include autoencoder and one-dimensional Convolutional Neural Network (CNN). …

Reduction Of Cognitive Load In Immersive Virtual Reality With Multisensory Cues, Daniel Wilson

Theses

This study investigated the effects of multimodal interfaces and immersive virtual environments on cognitive load. Participants played a first-person target shooting game with either a virtual reality headset or on a monitor, using visual, auditory-visual, and a haptic-visual interfaces. Performance and self-reported data about cognitive load and spatial presence were collected for each interface. The study found that both immersive environments and multimodal interfaces reduced cognitive load. Additionally, an interaction was seen such that multimodal interfaces were more effective at reducing cognitive load in immersive environments. These findings indicate that the addition of more modalities into interfaces, especially in highly …

Quasi-Static And Dynamic Tension Testing Of As-Built And Heat-Treated Additively Manufactured 316l Stainless Steel, Terrell Elias Marler

Theses

Additive manufacturing (AM) has several advantages over conventional subtractive manufacturing techniques, including the ability to create parts of highly complex geometries in one process thus reducing time and cost for each part. However, AM parts show different mechanical behavior compared to wrought parts due to the differences in the manufacturing processes. In particular, lack-of-fusion defects, voids, and keyhole defects can act as crack initiation sites leading to the possibility of more brittle behavior. This may be exacerbated by high rate loads, which tends to induce more brittle behavior, higher flow stress, and higher yield stress in materials. Therefore, it is …

Spectral Deconvolution Using Machine Learning For Determining Material Compositions In Mixed Samples, Prakash Chaudhary

Theses

Hyperspectral unmixing is essential in determining material compositions in mixed samples with a larger number of endmembers, but achieving precise decom- position remains challenging due to the limited work done, the presence of spectral variability, and endmember complexities. This study proposes many machine learning methods and techniques to identify the material composition in mixed samples (composites). Other methods to solve this problem mainly focus on a very small number of endmembers; our approach works with many end members, improving the model’s robustness. The proposed methods effectively tackle spectral variability, high dimensionality, and the presence of similar endmembers by integrating a …

Development Of A High Speed Differential Temperature Sensor For In Situ Estimations Of Cn2 In The Planetary Boundary Layer, Michael C. Yurovchak

Theses

The propagation of electromagnetic energy through the Earth’s atmosphere is significantly modulated by spatial variability of the refractive index structure function (Cn2). In situ estimates of vertical profiles of Cn2 in the boundary layer are critical for evaluating model predictions and ground-based remote sensing retrievals of Cn2. This thesis describes the development of a sensor system that produces high frequency measurements of differential temperature between two points in space separated by a distance of 0.3m using two 5 𝜇𝑚 diameter platinum resistance temperature sensors with 10-4K resolution. The platinum wire sensors are connected to two legs of a Wheatstone Bridge …