Digital Commons Network^™

Modelling The Formation Of Unslanted Holographic Gratings In Hybrid Photopolymer Media, Jack Lyons, Dana Mackey, Izabela Naydenova

Articles

The theoretical modelling of holographic recording in photopolymers has been an important tool in their optimisation. More complex, hybrid organic/inorganic photopolymers have been developed in pursuit of materials with higher sensitivity, low shrinkage, high dynamic range and environmental stability. Recent attempts to augment the existing models for the redistribution of inorganic nanoparticles in holographic recording were successful but there is still a knowledge gap in regards to modelling optical losses, mutual cross-diffusion, the formation of slanted holographic gratings and polymerization induced shrinkage in hybrid photopolymer media. This paper will describe a novel approach to modelling the formation of unslanted holographic …

Hyper B-Ary Representations Of A Number, Mingway Wang

Masters Theses

In this work, we summarize combinatorial, analytical, and computational properties of Stern's diatomic sequence, and do the same for a generalization of a combinatorial property of this sequence to higher bases. We then construct special ``bit conversion'' functions $g_{b}$ that allows us to find a semi-explicit formula for the generalized sequences. Lastly, we analyze some of the properties of these $g_{b}$ functions.

On Optimizing Sensor Data Collection, Processing, And Storage For Industrial Additive Manufacturing, Steven Thompson

Masters Theses

The widespread adoption of digital data management methods for transformative technologies, such as additive manufacturing (AM), within the aerospace industry is impeded by poor interoperability between AM component manufacturing processes. Moreover, data quality may be compromised due to sensor failures or other corruptions. Additionally, massive amounts of data are collected during these processes, often needing to remain accessible for decades. These storage costs can place a significant financial burden on smaller suppliers. This work aims to make digital data management methods more affordable and, therefore, approachable for smaller suppliers.

First, the design and initial implementation of an affordable and adaptable …

Augmentation Of Quality Of Service, Security, And Trust In Edge-Enhanced Iot Networks Leveraging Blockchain, Kyle Matthew Whitlatch

Masters Theses

The meteoric rise of the Internet of Things (IoT) has led to multiple architectural schemas to handle the data these devices create. Edge-enhancement is a technique where groups of IoT report to a median layer to aggregate the data before relaying to the endpoint. These edges also open opportunities to perform more operations to ensure devices are behaving properly before committing the data to long term storage. By interconnecting these edges with a technology like blockchain, it is possible to have an interconnected and responsive system to ensure the Quality of Service (QoS) of the IoT devices within the architecture …

Development Of A Method To Measure Blast Overpressure Exposure Using Orthogonal Sensor Orientations, Nicholas Kuehl

Masters Theses

Measuring and recording blast exposure to military personnel from shoulder-fired weaponry or improvised explosive devices to correlate health outcomes like mild traumatic brain injury has been a goal for many years. As such, many wearable sensors have been developed and tested for accuracy and reliability. Despite this, knowing the sensor orientation in relation to the blast source is important to fully correlate the actual personnel exposure to clinical outcomes. This research investigates whether pressures recorded at three independent orientations in the x, y and z planes can be combined to a representative pressure that is independent of orientation. Important metrics …

Power Flow Control Of The Triple Active Bridge Converter, Lauryn Reece Morris

Masters Theses

With the rise of renewable energies, electric vehicles, and microgrids, the development of power electronic topologies that can seamlessly integrate these systems into the grid is crucial. The triple active bridge is an extension of the dual active bridge topology and is capable of energy storage or renewable energy integration into a power electronic converter and thus the power grid. Consisting of three H-Bridge converters, the triple active bridge topology is an expanding area of research to meet these growing demands. With the addition of the third bridge, the system has additional nonlinear characteristics which introduce complexity in solving for …

Critical Behavior Ofthedilutedquasi-Onedimensionalquantum Ising Model, Logan Bradley Sowadski

Masters Theses

We explore the phase transition in the diluted quasi-one-dimensional quantum Ising model. We begin by giving an introduction to the Ising model followed by derivations of the properties and observables. A brief overview of Monte-Carlo simulations is also given focusing on two algorithms that make simulations for physically realizable systems possible, the Metropolis and Wolff algorithms. We finally discuss the concept of random disorder in the system and the effects this can have on the bulk of the system.

These concepts are then directly applied to a quasi-one-dimensional Ising model. Motivated by recent experiments on the spin-chain material cobalt niobate, …

Aerodynamic Design Workflow Optimization For Fsae: Advanced Cfd And Hpc Automation, Kyle Maynor

Masters Theses

This research identifies and resolves inefficiencies in the Computational Fluid Dynamics (CFD) workflow of the Missouri S&T Racing Formula SAE Team’s aerodynamic development. Key bottlenecks were found in simulation runtime, laborious simulation preparation, an overly manual simulation submission process, and unchecked mesh quality. A fully reimagined workflow was implemented with simulation parameters to adjust vehicle attitudes. From this, an automated design sweep could be executed to generate aero maps of the developing vehicle using the Design Manager Project. A Python-based submission app handles the terminal interfacing and macro editing that significantly slowed the job submission process before. Using a university …

Development Of Stalling Detection Algorithms And Operator Behavior Models For Evaluating Hydraulic Excavator Performance, Mateo Fernando Montenegro Defaz

Masters Theses

This study aims to develop a reliable algorithm for stalling detection and investigate how operator behaviors impact the truck-loading process, focusing on swing and bucket rotations. While the study of excavator digging conditions and equipment performance is well understood, describing stalling from telemetry data and the influence of operators’ behavior on overall system efficiency remain underexplored. This study seeks to: (i) develop a reliable algorithm for stall detection by analyzing key operational variables such as velocity and angles; (ii) implement statistical and machine learning techniques, specifically a Support Vector Machine (SVM) classification algorithm, to differentiate between ideal and non-ideal digging …

Design Of A Spacecraft Power System Experiment, Jay Bakulkumar Kamdar

Masters Theses

This research delves into the design, implementation, and analysis of a controlled experimental framework for photovoltaic cell characterization and its application in spacecraft power systems. Such a system was simulated and validated by benchmarking characteristics of a photovoltaic module and implementing them in a system design simulation yielding performance data for comparative analysis. A hardware setup was developed to perform IV characterization tests under steady state thermal conditions. Experiments conducted across various thermal regulation profiles helped quantify the effects of temperature on the photovoltaic performance parameters. Active cooling reduced the steady state cell temperature by 17.9% and improved the cell …

Overall Tropospheric Noise Over The St. Louis Using Isce And Fringe Processing, Maryann Lee

Masters Theses

Interferometric Synthetic Aperture Radar (InSAR) is a satellite-based technique that is used to measure various aspects such as ground deformation, earthquakes, volcanic activity, and motions of glaciers. Although the technique has proved very useful, measurements errors such as ionospheric and tropospheric noise, and deformation often cause problems with making precise measurements. InSAR is a tool used in geodesy that is used to measure the change of surface deformation over time through a series of repeated SAR acquisitions. These errors in the acquisitions occur from factors of signal decorrelation, atmospheric delays, and phase unwrapping errors that affect the accuracy and precision …

Evaluating Tropospheric Delay Modeling For Enhanced Geospatial Accuracy, Adeyinka Olaoluwa Olaseinde

Masters Theses

Interferometric Synthetic Aperture Radar (InSAR) is a vital technique for monitoring ground surface deformation across large spatial scales. However, variability in atmospheric water vapor, pressure, and temperature introduces tropospheric delays that can significantly affect measurement accuracy. These delays are often corrected using outputs from numerical weather prediction (NWP) models. RAiDER, an open-source Python package, facilitates this by estimating tropospheric delays using models such as the High-Resolution Rapid Refresh (HRRR). Previous studies have shown that weather model–based corrections can substantially reduce atmospheric noise in InSAR data but also highlight persistent residual errors, especially at spatial scales smaller than the model grid …

Multimodal Spatio-Temporal Pest Prediction In Precision Agriculture, V N S Kameswari Sri Sindhu Manchikanti

Masters Theses

Accurate and timely prediction of pest outbreaks is a cornerstone of Agriculture 5.0, which emphasizes intelligent, data-driven, and sustainable decision-making in crop production. This research presents a multimodal deep learning framework that integrates heterogeneous data sources, including weather parameters, satellite-derived vegetation indices, and static and dynamic soil attributes, to forecast pest population dynamics under varying management and ecological conditions. The proposed framework employs modality-specific deep encoders to capture distinct temporal and spatial representations from each data stream and merges them through a late-fusion architecture that learns cross-modal dependencies critical to pest emergence. The design further incorporates treatment-aware and multiclass extensions, …

Application Of Edge-Enhanced Phase Analysis To Active Microwave Thermographic Measurements, Douglas Blaine Fleetwood

Masters Theses

Nondestructive testing and evaluation (NDT&E) encompasses a range of inspection techniques that assess materials, components, and structures while maintaining their integrity and performance. Among these techniques, thermography is particularly attractive due to its non-contact imaging approach with easy-to-interpret results. Active Microwave Thermography (AMT) has emerged as a promising NDT&E inspection technique that utilizes electromagnetic energy to heat materials through dielectric and magnetic absorption, with subsequent infrared imaging used to detect subsurface defects. While AMT offers significant advantages including material-specific heating optimization and lower power requirements compared to conventional thermographic methods, the technique faces a persistent challenge related to the thermal …

Western Australian Graduate Teacher Perceptions Of Teacher Performance Assessments, Janine E. Wyatt, Caroline Mansfield, Paula Mildenhall

Research outputs 2022 to 2026

This study examined the views of 1593 first-year graduates from five Western Australian universities concerning three nationally endorsed teacher performance assessment (TPA) instruments. Quantitative and qualitative data obtained through the Department of Education Western Australia’s annual first year graduate teacher surveys from 2021-2023 was used. Study findings revealed that overall, most graduates were satisfied that the TPA supported their classroom readiness and understanding of the graduate level of the Australian Professional Standards for Teachers, and that mentors/supervisors played a critical role in these perceptions. We recommend incorporating the first-year graduates’ insights into the refinement of TPAs. Our study advocates for …

Integrated Sensing And Covert Communications With Ris Adaptive And Non-Adaptive Modes, Jia Zhang, Dengfeng Zhang, Ke Liu, Jiande Sun, Min Li, Shihao Yan

Research outputs 2022 to 2026

In this work, we consider an integrated sensing and covert communication (ISACC) system with a finite blocklength L aided by a reconfigurable intelligent surface (RIS) with N elements. Specifically, with the aid of RIS, a transmitter Alice is to sense the potential existence of a target, and she is also probabilistically trying to send information to a receiver Bob covertly (i.e., trying to hide her transmissions from a warden Willie). Meanwhile, Willie is to detect whether Alice is sensing the target only or conducting ISACC. We consider two RIS operation modes, i.e., a non-adaptive mode, where RIS employs a common …

Seagrasses Are Most Vulnerable To Marine Heatwaves In Tropical Zones: Local-Scale And Broad Climatic Zone Variation In Thermal Tolerances, Nicole Said, Chanelle Webster, Simone Strydom, Natasha Dunham, Matthew P. Adams, Kathryn Mcmahon

Research outputs 2022 to 2026

Under a changing climate, it is imperative that we understand how species may respond to temperature impacts, which can differ among populations of the same species due to local drivers. Thermal tolerance data, which can be used to assess an organism's upper thermal limits, is valuable to identify species and/or populations' susceptibility to thermal stress. This study assessed the variation in thermal tolerance of six seagrass species at both broad latitudinal (c. 500–1000 km) and local scales (c. 25 km). Photosynthesis–temperature curves (15–45°C) were conducted, by measuring oxygen in closed incubation chambers, and thermal optima (Topt) was extracted. We found …

Scientific Educations Among U.S. Judges, Christa J. Laser

American University Law Review

Should more judges have technical and scientific educations than are currently prevalent in the federal judiciary? This empirical study of the educational background of federal judges reports the undergraduate and graduate majors of active U.S. federal Article III judges. Information on the subject area of study is largely not publicly available, especially for judges appointed decades ago. This is the first and only publicly available research study of the subject areas of study of U.S. judges, collected via phone and email surveys to U.S. judges. The results of this study show that only 7.35% of federal judges have majors in …

Generating Synthetic Malware Samples Using Generative Ai, Tiffany Bao, Kylie Trousil, Quang Duy Tran, Fabio Di Troia, Younghee Park

Faculty Research, Scholarly, and Creative Activity

Malware attacks have a significant negative impact on organizations of varied scales in the field of cybersecurity. Recently, malware researchers have increasingly turned to machine learning techniques to combat sophisticated obfuscation methods used in malware. However, collecting a diverse set of malware samples with various obfuscation techniques is challenging and often takes years, especially for newly developed malware. This issue is further compounded by a well-known limitation of machine learning models: their poor performance when training data is scarce. In this paper, we propose a new system for generating synthetic malware samples to augment imbalanced malware dataset. Our approach decomposes …

Compulsory Service-Learning Programs In Secondary Schools: The Lasting Impact Beyond The Classroom, Linda Cranley, Gregory Hine

Research outputs 2022 to 2026

The purpose of this research project was to investigate the extent to which a compulsory service-learning program (SLP) offered in one secondary school inspired students to extend their service to the community beyond their schooling and make the connection between real-life social inequities and the SLP. The project involved interviewing current staff and past students from a co-educational Catholic secondary school in Perth, Western Australia, about their experiences of participating in the school’s SLP. Staff and student participants highlighted key elements of the SLP, including the types of community involvement encouraged within the program, and provided insight into how the …

Digitalisation As A Vehicle Of Expansion Of Tourism Industry, Nehad Laila Sanju, Ghialy Yap, Shrabani Saha, Mahfuzur Rahman

Research outputs 2022 to 2026

Despite increased interest both from scholars and policymakers, most research on digital transformation in the tourism sector focuses on demand-side factors. However, supply-side factors, specifically how the adaptation of information and communication technology benefits the industry, are somewhat scant. Applying Institutions and Economic Theory, this study examines the role of digitalisation in tourism development by employing the advanced bias-corrected method of moments dynamic panel model along with the Arellano-Bond, Arellano-Bover/Blundell-Bond method of moments for around 123 countries, including economic categorisations from 1995 to 2020. The results reveal that tourism is found to be positively and significantly correlated with digitalisation. Notably, …

On-Device Recommender Systems: A Comprehensive Survey, Hongzhi Yin, Liang Qu, Tong Chen, Wei Yuan, Ruiqi Zheng, Jing Long, Xin Xia, Yuhui Shi, Chengqi Zhang

Research outputs 2022 to 2026

Recommender systems have been widely deployed in various real-world applications to help users identify content of interest from massive amounts of information. Traditional recommender systems work by collecting user-item interaction data in a cloud-based data center and training a centralized model to perform the recommendation service. However, such cloud-based recommender systems (CloudRSs) inevitably suffer from excessive resource consumption, response latency, as well as privacy and security risks concerning both data and models. Recently, driven by the advances in storage, communication, and computation capabilities of edge devices, there has been a shift of focus from CloudRSs to on-device recommender systems (DeviceRSs), …

Sources Of Underwater Noise, Christine Erbe, Alec J. Duncan, Alexander Gavrilov, Montserrat Landero, Robert D. Mccauley, Iain Parnum, Evgeny Sidenko, Chandra Salgado-Kent, Evgeny Sidenko

Research outputs 2022 to 2026

The marine soundscape, whether in coastal areas or the deepest ocean, in the tropics or at the poles, contains a myriad of sounds. Sounds may be grouped by their origin into geophony (e.g., wind, precipitation, waves, earthquakes, volcanoes, and ice), biophony (e.g., invertebrates, fishes, and marine mammals), and anthropophony (e.g., port construction, mineral and hydrocarbon exploration and production, renewable energy installation, and shipping). This chapter gives a brief overview of the geophony and biophony, and then focuses on the anthropophony. The sounds of boats and ships of various types, marine seismic surveys, drilling, dredging, pile driving, windfarms, geotechnical site investigations, …

Teachers’ Perceptions Of Students’ Ict Skills For Online Assessments (Naplan): Influences And Impact, Cindy Carboni, Susan Main

Research outputs 2022 to 2026

This convergent mixed-methods study investigated Australian teachers’ perspectives on the computing competencies required for online National Assessment Program – Literacy and Numeracy (NAPLAN). A total of 107 teachers completed surveys examining how socio-educational backgrounds and classroom practices shape students’ readiness for high-stakes online assessments. Quantitative analysis revealed significant associations between socio-educational advantage and students’ proficiency in seven essential NAPLAN ICT online skills, including typing, navigation, and on-screen manipulation. Qualitative findings highlighted teachers’ concerns about limited exposure to computing tools and insufficient practice time, which many believed hindered student performance in online assessments. Teachers also noted that inequities in skill development …

The Monstrous-Digital: Data Necropolitics, Social Media, And The Assassination Of Brian Thompson, Laura Glitsos

Research outputs 2022 to 2026

This research article examines the assassination of UnitedHealthcare CEO Brian Thompson and the ensuing social media attention on the alleged shooter Luigi Mangione. I argue that the incident can be read as a cultural moment that captures the essence of an emergent sensibility that I call the “monstrous-digital” because of its layered and complex interconnections with the digital apparatus as a space of control and contestation. Specifically, I connect it to the biopolitical weaponization of computational systems, McQuillan’s (2015) algorithmic states of exception, and Pele and Mulholland’s (2023) data necropolitics. I approach this research using a qualitative case study method, …

Teachers’ Perceptions Of The Effectiveness Of Tier 3 Academic Interventions, Dana Esposito

Theses and Dissertations

This applied dissertation was designed to discover teachers’ perceptions about the overall effectiveness of Tier 3 RTI services for resolving academic problems and teachers’ perceptions about transitioning students out of RTI. Students receiving services in Tier 3 of the RTI process often spend a considerable amount of time attempting to meet their goals. A search for answers to this problem, combined with a gap in the existing literature regarding time spent in Tier 3, led to the development of this study.

Data collection was acquired through a qualitative collective-case method focused on semi-structured interviews. Participants consisted of general and special …

Legislative Impacts On K-12 Social Studies Teacher Identity, Curricular Decision-Making, And Receptiveness To Professional Development, Staci Fisher

Theses and Dissertations

This applied dissertation examines how K-12 public school social studies teachers are navigating their instructional decision-making regarding content about marginalized groups in response to state legislation. Quantitative data were collected through an online Likert-scale survey to measure teachers’ reported agreement on how state legislation has impacted their instructional decision-making, job satisfaction connected to their professional and personal identities, inclusion of instructional materials, and receptiveness to professional development.

Following data collection, the researchers analyzed whether factors of district political context and teachers’ personal and professional identity characteristics predicted their responses. Survey results showed most teachers reported feeling that state legislation has …

Effects Of Parent Involvement In Their Children’S Academic And Behavioral Performance, Megan Menozzi

Theses and Dissertations

This applied dissertation was designed to investigate the best practices to increase parental involvement in their children’s school activities by recording and scribing the experiences of certified teachers. Prior to this study, the current school experienced a decrease in parental involvement with their child’s scheduled school activities. As the school carry on with planning scheduled events for parental involvement, teachers were still expected to be prepared to implement curriculum in the classrooms, while ensuring children’s needs were being met by way of continuous communication with families.

The researcher developed a qualitative phenomenological approach. The design allowed the researcher to interview …

Investigating The Impact Of Student Motivation And Self-Efficacy On Academic Performance In Advanced Placement Courses, Alicia Carroll

Theses and Dissertations

This mixed methods applied dissertation was designed to provide insight into the effects of student motivation and student self-efficacy on academic performance in Advanced Placement (AP) courses. Secondary educational institutions in the United States offer their students Advanced Placement courses, dual enrollment or dual credit courses, International Baccalaureate (IB) courses, and early college programs to encourage and promote the quest for outstanding student attainment. Although many students in the study school enroll in the Academy for Advanced Placement Studies, not all ninth through 12th graders achieve Advanced Placement credit in the Academy’s required courses.

Education has traditionally been viewed as …

Teacher Perception On The Implementation Of A Culturally Responsive Ela Curriculum, Erica Tate Dial

Theses and Dissertations

While the principles of culturally responsive and culturally relevant teaching hold transformative potential, they can only be fully realized if educators are genuinely equipped and empowered to implement them. This qualitative study examined teacher perceptions of an English Language Arts curriculum through the lens of culturally relevant and culturally responsive teaching. A diverse group of teachers, varying in experience, age, gender, and race, were interviewed to gather a range of perspectives on the implementation of this curriculum. The study focused on addressing the following research questions: 1. What are teachers’ perceptions of culturally responsive and culturally relevant instruction and academic …