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The Effects Of Uv Degradation On Polycarbonate Plastics Under Dynamic Compressive Loading, Hannah Bradford

Honors Theses

The objective of this experiment was to analyze the dynamic properties of polycarbonate plastics subjected to accelerated ultraviolet (UV) exposure. This was done by subjecting rods of polycarbonate plastic to UV degradation in a QUV accelerated weathering machine for 375, 750, and 1500-hours. These rods were then tested under dynamic compression using a Split-Hopkinson Pressure Bar at an average strain rate of 1600/s. The Split-Hopkinson pressure bar works by rapidly compressing a sample between 3 axial rods sending an elastic wave through the sample. The strain gauges on the incident rod and the transmission rod transformed the elastic wave deformation …

The Use Of Repurposed Whole Textiles To Modify The Mechanical And Hydrogeological Properties Of Green Roof Media And Granular Soils, Angelis Almanzar-Chevalie, Yehya Elfgeeh, Calvin O. Walters Jr.

Publications and Research

This study investigates using repurposed whole textiles to modify the mechanical and hydrogeological properties of lightweight Green Roof media and granular pavement soils.

Green Roof Media Green roofs aim to bring the advantages of suburban agriculture to urban environments while improving energy efficiency and enhancing stormwater management in public, commercial, and residential buildings. Previous studies by City Tech undergraduate research assistants demonstrated significant modification in hydrogeological properties when incorporating textile fabric up to 3% textile by weight (%Tex) at an aspect ratio of 1:1. The effects of mixing repurposed whole textile fiber with Green Roof media is evaluated with regards …

Chiroptical Second-Harmonic Tyndall Scattering From Silicon Nanohelices, Ben J. Olohan, Emilija Petronijevic, Ufuk Kilic, Shawn Wimer, Matthew Hilfiker, Mathias Schubert, Christos Argyropoulos, Eva Schubert, Samuel R. Clowes, G. Dan Pantoş, David L. Andrews, Ventsislav K. Valev

Department of Electrical and Computer Engineering: Faculty Publications

Chirality is omnipresent in the living world. As biomimetic nanotechnology and self-assembly advance, they too need chirality. Accordingly, there is a pressing need to develop general methods to characterize chiral building blocks at the nanoscale in liquids such as water-the medium of life. Here, we demonstrate the chiroptical second-harmonic Tyndall scattering effect. The effect was observed in Si nanohelices, an example of a high-refractive-index dielectric nanomaterial. For three wavelengths of illumination, we observe a clear difference in the second-harmonic scattered light that depends on the chirality of the nanohelices and the handedness of circularly polarized light. Importantly, we provide a …

Liquid-Phase Adsorption Of Dimethyl Methylphosphonate On Poly(Ether Imide) And Its Metal Hydroxide-Integrated Composites, Sukanta K. Mondal, Peter O. Aina, Ali A. Rownaghi, Fateme Rezaei

Chemical and Biochemical Engineering Faculty Research & Creative Works

Understanding the Adsorption Behavior of Dimethyl Methylphosphonate (DMMP), a Key Simulant for Some Nerve Agents, is Crucial for Developing Effective Protective Measures and Ensuring Environmental Safety Against Harmful Chemical Warfare Agents. This Study Systematically Explores the Liquid-Phase Adsorption of DMMP over Branched Poly (Ether Imide) (Ultem) and its Ce (OH)4/Zr (OH)4 Metal Hydroxide Composites. Utilizing UV-Visible (UV-Vis) Spectroscopy, the Adsorption Process Was Monitored over Time to Analyze the Interplay between Various Ultem-Based Composites and DMMP Molecules. Nonreactive Ultem Materials Were Experimentally Identified as Suitable Adsorbents for Liquid-Phase DMMP Capture, Providing a Novel Avenue for Protective Filtration Technologies. It Was Found …

Evaluating The Effect Of Noise On Secure Quantum Networks, Karthick Anbalagan

Master's Theses

This thesis focuses on examining the resilience of secure quantum networks to environmental noise. Specifically, we evaluate the effectiveness of two well-known quantum key distribution (QKD) protocols: the Coherent One-Way (COW) protocol and Kak’s Three-Stage protocol (Kak06). The thesis systematically evaluates these protocols in terms of their efficiency, operational feasibility, and resistance to noise, thereby contributing to the progress of secure quantum communications. Using simulations, this study evaluates the protocols in realistic scenarios that include factors such as noise and decoherence. The results illustrate each protocol’s relative benefits and limitations, highlighting the three-stage protocol’s superior security characteristics, resistance to interference, …

Structured Light Radial-View Endoscope Imaging Development For Evaluation Of Human Tissue, Xiyan Li

McKelvey School of Engineering Graduate Student Theses & Dissertations

In this thesis, we improved an existing structured light methodology to more accurately estimate tissue optical properties imaged in a single snapshot. The developed approach is a major enhancement of the traditional three-phase spatial frequency domain imaging system: It greatly simplifies the operational procedure while also maintaining high accuracy in optical property measurements .

Leveraging this improved approach, we have developed a low-cost, compact, and radial-view endoscope prototype. This prototype combines affordability with high functionality and a user-friendly design. To assess the performance and reliability of our endoscope, we conducted comprehensive evaluations involving tissue-mimicking phantoms, as well as ex vivo …

Enhancing Fpga Synthesis For Space Applications: Performance Evaluation Of Scalehls In The Adapt Project, Ruoxi Wang

McKelvey School of Engineering Graduate Student Theses & Dissertations

This thesis investigates the application of ScaleHLS, a high-level synthesis (HLS) tool, to enhance Field-Programmable Gate Array (FPGA) synthesis for space applications, with a focus on the Antarctic Demonstrator Advanced Particle-astrophysics Telescope (ADAPT) project. The study explores how ScaleHLS optimizes the transformation of C code into FPGA-compatible designs to improve computational efficiency and resource utilization.

The research details the process of adapting ADAPT's computational algorithms for FPGA using ScaleHLS, emphasizing the tool's effectiveness in streamlining the code-to-hardware translation. A performance evaluation highlights significant improvements in resource management and operational speed, demonstrating the tool's impact on FPGA synthesis.

These findings illustrate …

Hybrid Rib And Air Core Arrow Waveguides Fabricated In A Thin Membrane Covered Trench, Seth Brent Walker

Theses and Dissertations

The focus of this work is the development of hollow core Anti-Resonant Reflecting Optical Waveguides (ARROWs) fabricated in a membrane covered trench. This technique is a new approach at building more efficient hollow core waveguides for integration into various platforms that involve liquid or gases. These structures are built on silicon wafers using standard microfabrication techniques, including plasma etching to form trenches. Four waveguide designs are demonstrated, which have different numbers of thin film reflecting layers. Research and manufacturing were conducted in BYU's Integrated Microelectronic Laboratory (IML). A brief history of past work at BYU on hollow core ARROW devices …

Characterizing Advanced Persistent Threats Through The Lens Of Cyber Attack Flows, Logan Zeien, Caleb Chang, Ltc Ekzhin Ear, Dr. Shouhuai Xu

Military Cyber Affairs

Effective cyber defense must build upon a deep understanding of real-world cyberattacks to guide the design and deployment of appropriate defensive measures against current and future attacks. In this abridged paper (of which the full paper is available online), we present important concepts for understanding Advanced Persistent Threats (APTs), our methodology to characterize APTs through the lens of attack flows, and a detailed case study of APT28 that demonstrates our method’s viability to draw useful insights. This paper makes three technical contributions. First, we propose a novel method of constructing attack flows to describe APTs. This abstraction allows technical audiences, …

Machine Learning Security For Tactical Operations, Dr. Denaria Fields, Shakiya A. Friend, Andrew Hermansen, Dr. Tugba Erpek, Dr. Yalin E. Sagduyu

Military Cyber Affairs

Deep learning finds rich applications in the tactical domain by learning from diverse data sources and performing difficult tasks to support mission-critical applications. However, deep learning models are susceptible to various attacks and exploits. In this paper, we first discuss application areas of deep learning in the tactical domain. Next, we present adversarial machine learning as an emerging attack vector and discuss the impact of adversarial attacks on the deep learning performance. Finally, we discuss potential defense methods that can be applied against these attacks.

Securing The Void: Assessing The Dynamic Threat Landscape Of Space, Brianna Bace, Dr. Unal Tatar

Military Cyber Affairs

Outer space is a strategic and multifaceted domain that is a crossroads for political, military, and economic interests. From a defense perspective, the U.S. military and intelligence community rely heavily on satellite networks to meet national security objectives and execute military operations and intelligence gathering. This paper examines the evolving threat landscape of the space sector, encompassing natural and man-made perils, emphasizing the rise of cyber threats and the complexity introduced by dual-use technology and commercialization. It also explores the implications for security and resilience, advocating for collaborative efforts among international organizations, governments, and industry to safeguard the space sector.

A Computational Investigation Into Thermo-Kinetic Parameters Governing The Decomposition Of Bio-Oil Model Compounds, Ali Huseein Aljefri

Thesis/ Dissertation Defenses

Among notable products from thermal degradation of biomass are simple oxygen-containing aromatics. These compounds typically appear in high loads in collected bio-oil derived from biomass. As such, it is important to comprehend the decomposition chemistry of this category of compounds. This thesis takes on board a general approach to report thermo-kinetic parameters that govern decomposition of a selected set of bio-oil model compounds in two distinct systems: firstly radical-derived pathways in the gas phase and secondly thermal degradation in their condensed media. The first is attained through accurate density functional calculations while the second is accomplished through the use of …

Urine Supplementation Of Nostoc Muscorum In Mgs-1 Media, Alix Elliston

Utah Space Grant Consortium

Cyanobacteria have been referred to as the architects of Earth's atmosphere and are widely credited with being the planet's first oxygenators. While it is speculated that cyanobacteria could similarly be utilized to oxygenate the atmosphere of Mars, one constraint is resource scarcity on the planet. Studies have shown that certain cyanobacteria can survive at least short term in media comprised of Martian regolith; however, their ability to thrive long term in such nutrient-deprived conditions is questionable. This study aims to investigate whether a cyanobacterial culture grown in a nutrient-deprived, Mars regolith simulant media can be supplemented with urine to facilitate …

Sustainability Of Cyanobacteria In A Co2 Rich Environment, Lonnie Ernst

Utah Space Grant Consortium

The goal of this project is to grow the cyanobacterium, Nostoc muscorum, under a Mars-like condition by growing N. muscorum in an anaerobic chamber supplemented with 100% CO2 and observe the rise in O2 levels. One culture is grown to density outside the chamber and a second culture is subcultured from the first, then the two cultures are placed into the CO2 chamber. The O2 and CO2 levels are measured daily and the cultures density are visually observed each day to determine if cyanobacteria can grow and survive in a CO2 dense environment.

Nitrification Rate Depends On Nitrogen Fertilizer Source In Root-Zones For Bioregenerative Life-Support, Noah J. Langenfeld, Bruce Bugbee

Utah Space Grant Consortium

Nitrification helps recycle nitrogen (N) in closed root-zones with multiple N inputs. We studied nitrification rates in peat moss soilless media adjusted to pH 6.5 to 7 and watered with nutrient solutions containing 9 mM N from ammonium nitrate, ammonium, nitrate, urea, or microbial biomass (lysed cells of the N-fixing bacteria Azotobacter vinelandii). We leached the media with nutrient solution every week for 150 days and measured the pH, electrical conductivity, and nitrate concentration. We measured ammonium in the peat moss at the end of the study using a potassium chloride extraction and quantified total N by combustion. Nitrification …

Expedited Cellular Uptake Of Hydrophobic Antioxidants For Oxidative Stress Mitigation Via F127 Micelle Encapsulation, Kyle Jackson, Kade Robison, David Britt, Yu Huang

Utah Space Grant Consortium

Various hydrophobic antioxidants remain unexplored for the treatment of space radiation and oxidative stress due to their inability to enter the cell without a drug delivery vehicle. Here, we explore the Pluronic F127 drug delivery vehicle, known as a micelle, and examine cellular responses following antioxidant delivery and oxidative stress mitigation. We also investigate methods for producing antioxidant-loaded micelles and their potential suitability for astronauts, including the best ways they might be administered during space flight missions. This research paves the way for new antioxidants to be used to protect astronauts from diseases caused by space conditions such as radiation …

Design Optimization Of A Direct-Drive Wind Generator With A Reluctance Rotor And A Flux Intensifying Stator Using Different Pm Types, Ali Mohammadi, Oluwaseun A. Badewa, Yaser Chulaee, Donovin D. Lewis, Somasundaram Essakiappan, Madhav Manjrekar, Dan M. Ionel

Power and Energy Institute of Kentucky Faculty Publications

This paper presents a large-scale multi-objective design optimization for a direct-drive wind turbine generator concept that is based upon an experimentally validated computational model for a small-scale prototype motor of the same type. By integrating an outer reluctance-type rotor and a segmented stator with toroidally wound single-coil modules containing spoke-type PMs, the design optimization aims to minimize losses, active mass, and torque ripple while adhering to a power factor constraint. The AC windings and PMs are positioned in the stator and this concept enhances flux concentration, enabling the use of more affordable high energy non-rare-earth (special type) magnets. The exterior …

Affordable Bioprint Head-Adapter For 3d Printers, Andrew Ceralde, Dominic Drake, Noah Engles, Mohammad Alwan, Nevada Perry

Honors Capstones

Introduction: Addressing the need for affordable and accessible bioprinting technology, the Northern Illinois University bioprinting research and design project aims to democratize the field by developing an open source bioprint head. The initiative targets the prohibitive cost of commercial bioprinters by proposing an optimal design that can be integrated with widely available 3D printers, like the Creality Ender-3. This approach seeks to enable the widespread adoption of bioprinting technology, particularly for applications in tissue engineering and regenerative medicine.

Methods: Leveraging SolidWorks for design, the project employs a methodology that combines a precision extrusion system with thermal and UV crosslinking capabilities. …

Using Chatgpt With Novice Arduino Programmers: Effects On Performance, Interest, Self-Efficacy, And Programming Ability, Donald M. Johnson, Will Doss, Christopher M. Estepp

Journal of Research in Technical Careers

A posttest-only control group experimental design compared novice Arduino programmers who developed their own programs (self-programming group, n =17) with novice Arduino programmers who used ChatGPT 3.5 to write their programs (ChatGPT-programming group, n = 16) on the dependent variables of programming scores, interest in Arduino programming, Arduino programming self-efficacy, Arduino programming posttest scores, and types of programming errors. Students were undergraduates in an introductory agricultural systems technology course in Fall 2023. The results indicated no significant (p < .10) differences between groups for programming rubric scores (p = .50) or interest in Arduino programming (p = .50). There were significant differences for Arduino programming self-efficacy, (p = .03, Cohen’s d = 0.75) and Arduino posttest scores, (p = .03, Cohen’s d = 0.76); students in the self-programming group scored significantly higher on both measures. Analysis of students’ errors indicated the ChatGPT group made significantly (p < .01) more program punctuation errors. These results indicated novice students writing their own programs developed greater Arduino programming self-efficacy and programming ability than novice students using ChatGPT. Nevertheless, ChatGPT may still play an important role in assisting novices to write microcontroller programs.

Commercial Enablers Of China’S Cyber-Intelligence And Information Operations, Ethan Mansour, Victor Mukora

Military Cyber Affairs

In a globally commercialized information environment, China uses evolving commercial enabler networks to position and project its goals. They do this through cyber, intelligence, and information operations. This paper breaks down the types of commercial enablers and how they are used operationally. It will also address the CCP's strategy to gather and influence foreign and domestic populations throughout cyberspace. Finally, we conclude with recommendations for mitigating the influence of PRC commercial enablers.

Duality Of Ensemble Systems Through Moment Representations, Vignesh Narayanan, Wei Zhang, Jr-Shin Li

Publications

Controlling large-scale dynamic population systems, known as ensemble control, is a pervasive and essential task in many emerging applications from diverse scientific domains. Previous focuses in the area of ensemble control have been placed on seeking open-loop control strategies due to unavailability of state feedback information for each individual system in the ensemble. In this paper, we develop a foundational framework for analysis and control of ensemble systems with closed feedback control loops. We introduce the notion of ensemble moments and construct moment systems associated with the ensemble systems. By extending the classical moment problem in mathematical analysis and statistics, …

Environmental Drivers Impact The Accumulation And Diversity Of Antibiotic Resistance In Green Stormwater Infrastructure, Kassidy N. O'Malley, Patrick J. Mcnamara, Christopher Marshall, Emily Lou Lamartina, Thuy Duyen Lam, Numair Ali, Walter M. Mcdonald

Civil and Environmental Engineering Faculty Research and Publications

Antibiotic resistance poses an urgent public health concern, with the environment playing a crucial role in the development and dissemination of resistant bacteria. There is a growing body of research indicating that stormwater is a significant source and transport vector of resistance elements. This research sought to characterize the role of green stormwater infrastructure (GSI), designed for stormwater infiltration, in accumulating and propagating antibiotic resistance in the urban water cycle. Sampling included 24 full-scale GSI systems representing three distinct types of GSI - bioswales, bioretention cells, and constructed wetlands. The results indicated that GSI soils accumulate antibiotic resistance genes (ARGs) …

Presence Of Atheromatous Plaques And Theirs Effects On The Blood Flow, Belhocine Mostefa Bm, Amrani Hichem Ah, Fedaoui Kamel Dr, Mazouz Hammoudi Mh

Emirates Journal for Engineering Research

The paper utilizes a finite element method to study both the blood flow and atheromatous plaques. Specifically, the COMSOL finite element package is employed to achieve a fluid model. COMSOL is a powerful finite element tool commonly used in various research and industrial domains to study multiphysics problems. The focus of the investigation is on the geometric aspects of the atheromatous plaques. The study considers different forms and arrangements of stenosis, taking into account the irregularities formed by various shapes of the plaques and the resulting flow patterns. The key findings of the research suggest that the pressure and velocity …

Selective Separation Of Metal Ions From Aqueous Process Streams Using Magnetite Adsorbent, Daniel Geottlich

Graduate Theses & Non-Theses

The effect of coexisting ions on the selectivity of adsorption onto magnetite nanoparticles (MNPs) for various elements in aqueous solutions was investigated. Surrogate solutions of varying concentrations of rare earth elements (REEs), heavy metals, and gangue elements (low commercial value elements or metals) were mixed with MNPs. Selectivity experiments were performed on surrogate samples based on the composition of a REE ore concentrate and a leach liquor from the chlorinated products of the roasted REE ore concentrate. Adsorption efficiency of magnetite was determined by measuring ion concentration in a sample using inductively coupled plasma-optical emission spectroscopy (ICP-OES). Magnetite is selective …

Mpem Capstone Presentation, Jason Schneider

Graduate Theses & Non-Theses

Master of Project, Engineering and Management (MPEM) Final Capstone Presentation.

Mpem Capstone Presentation, Sarah Hambidge

Graduate Theses & Non-Theses

Master of Project, Engineering and Management (MPEM) Final Capstone Presentation.

Enabling On-Device Learning Through Hybrid Edge Computing Frameworks, Md Sharif Ahmed

Electrical Engineering Theses

In recent advancement of technology implementing Machine Learning (ML) algorithms with edge devices has gained remarkable popularity. Enabling Machine Learning (ML) in the edge opened new hybrid branch where edge hardware meets with Machine Learning (ML). Day by day devices are becoming more powerful and capable of doing a lot of computation. These powerful computational capabilities created the way of implementing Machine Learning (ML) on small edge devices. There are diverse ways we can implement machine learning models to the edge. For any embedded prototype, implementation of Tiny Machine Learning (TinyML) is making the IoT (Internet of Things) devices intelligent …

Rgb Root Matriz Color Dance, Danielle E. Gauthier

Theses and Dissertations

RGB Root Matriz Color Dance (Color Dance) is an immersive, interactive experience that combines poetic phrases and color filters to create a womb-like environment. Designed by Danielle Gauthier, this artistic piece uses a webcam to respond to users’ movements in real time, allowing them to confront and express their emotions through metaphor and dance. Color Dance creates a unique platform for self-discovery and empowerment by fostering a connection between the body and discomforting emotions.

Simulating Information And Communication Applications In Employee Interaction Network Models, Matthew Kanter

Departmental Honors & Graduate Capstone Projects

Information and communication technology (ICT) use has been identified throughout its development and evolution with the Internet boom as a net positive tool for most employees and organizations in the working world. Only recently have studies regarding employees’ well-being begun to come to the forefront of research regarding these rapidly evolving technologies, however these are important issues to discuss in the context of work-life boundary management, emotional exhaustion, overwhelming stress levels, and moral disengagement among other employee well-being dimensions. To explore how employees’ well being might be influenced by ICT use, this study conducted a quantitative survey and analyzed a …

Analyzing Information Cascades Through Machine Learning And Data Analytics, Betul Agirman

Honors Scholar Theses

In today's digital age, social media platforms have become pivotal in influencing public opinion and behavior, with information spreading being both beneficial and detrimental. This rapid spread is typically called an information cascade, and they are important in further understanding social influence, managing misinformation, and even predicting potential trends of public responses. With social media, people are connected so easily to one another like a network, wherein it becomes possible for them to influence each other’s behavior and decisions. Utilizing a dataset from Weibo that spans critical periods of the COVID-19 outbreak, this study integrates machine learning and data analytics …