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Experiments And Simulations Of Liquid Mass Gauging And Slosh Dynamics In Microgravity, Jedediah Morse Storey
Experiments And Simulations Of Liquid Mass Gauging And Slosh Dynamics In Microgravity, Jedediah Morse Storey
Theses and Dissertations
Advancements in liquid propellant management science and technologies are key to increasing safety, decreasing cost, and increasing payload mass of space missions. Propellant usually comprises a large portion of the total mass of launch vehicles and spacecraft, so liquid propellant sensing, as well as predicting and controlling the motion of it, are important. Electrical Capacitance Tomography (ECT) is an emerging sensing technology that is capable of measuring the distribution of liquid anywhere inside of a tank, potentially making it useful for measuring slosh and gauging mass. An ECT-instrumented tank was successfully tested in microgravity for the first time. Basics of …
Development Of A Physics-Informed Neural Network For Prediction Of Blood Flow, Marcello Vittorio Mattei Di Eugenio
Development Of A Physics-Informed Neural Network For Prediction Of Blood Flow, Marcello Vittorio Mattei Di Eugenio
Theses and Dissertations
Abstract—Objective: We propose a new neural network architecture that accepts point clouds and outputs 3D velocity profiles for aneurysm geometries. Methods: We generated a synthetic aneurysm 3D flow dataset using CFD and used it to train our model architecture and compare it with other popular architectures like U-net and PointNet. We incorporate tools for improving model performance such as incorporating a distance function, a physics-informed loss to enforce the law of mass conservation, and the Huber loss to learn patterns across heterogeneous velocity components of multiple dimensions. Results: The tools implemented together with our architecture achieved the best performance on …
The Relationship Between Biofouling Adhesion And Frequency Of Mechanical Cleaning To Control The Recruitment To Clear Coatings, Dylan Thomas Eggers
The Relationship Between Biofouling Adhesion And Frequency Of Mechanical Cleaning To Control The Recruitment To Clear Coatings, Dylan Thomas Eggers
Theses and Dissertations
There is a need to control biofouling on sensors and transparent windows in the marine environment. Clear silicone coatings offer a method to reduce the adhesion strength of marine organisms to the surface, however, these also require mechanical cleaning to maintain the surfaces free of fouling. This research evaluated the performance of eighty seven formulations and took the top two candidates to investigate a) the frequencies of wiping required by a brush to maintain two coatings and uncoated glass surfaces free of fouling and b) the effects of clear silicone coatings fouling release properties on required frequencies. The panels were …
Underwater Image Enhancement: A Pipeline For Underwater Computer Visions, Humberto Lebron Rivera
Underwater Image Enhancement: A Pipeline For Underwater Computer Visions, Humberto Lebron Rivera
Theses and Dissertations
Ocean exploration has surged in popularity and significance in recent years, including diverse areas like maritime archeology, underwater resources, and submerged structure inspection. The activities mentioned above heavily depend on vision and imagery, a challenge in the unpredictable marine world. This thesis presents a conditional generative adversarial network model for image-to-image translation problems. We designed and trained the model with the end goal of enhancing underwater images. Five metrics were employed for validation to quantify our model’s resulting enhanced images. By doing so, we aim to establish a pipeline that can leverage aerial computer vision algorithms for marine applications.
Our …
How Students Learn: Examining The Differences In Learning Strategies Between Flight And Nonflight Students, Jennifer A. Torres
How Students Learn: Examining The Differences In Learning Strategies Between Flight And Nonflight Students, Jennifer A. Torres
Theses and Dissertations
The purpose of this study was to determine if there were any differences in learning strategies between undergraduate flight and nonflight students attending a 4-year university that offered a Part 141 flight training program. Learning strategies were measured using Panadero et al.’s (2021) 30-item Deep Learning Strategies Questionnaire and its four subscales—Basic Learning Self-Regulation Strategies, Visual Elaboration and Summarizing Strategies, Deep Information Processing Strategies, and Social Learning Self-Regulation Strategies—all of which were the dependent variables. The primary independent variable was group membership, but the study also incorporated two covariates—self-efficacy and intrinsic value—which were measured using the respective subscales of Pintrich …
Path Planning Development Framework For Mobile Robots, Lauren-Ann Elizabeth Graham
Path Planning Development Framework For Mobile Robots, Lauren-Ann Elizabeth Graham
Theses and Dissertations
Planetary exploration relies on methods of path planning to achieve autonomous navigation in hazardous environments. Simulating harsh terrain, real-time varying physics, and robotics applications is vital for testing control algorithms here on Earth. Robotics Operating System (ROS) is a set of software libraries and tools that allow you to build and simulate robotic applications. Utilizing ROS, Gazebo, and Blender, a rough terrain simulation framework is created to explore and compare path planning algorithms using various desired robots and maps. ROS supports multiple path planning algorithms given its open-source abilities. This research focuses on path planning implementation of Proportional-Integral-Derivative (PID) control …
Gpu Based Monte Carlo Estimation Of Eddy Current Losses In Electromagnetic Coil-Core System, Adwaith Ravichandran
Gpu Based Monte Carlo Estimation Of Eddy Current Losses In Electromagnetic Coil-Core System, Adwaith Ravichandran
Theses and Dissertations
A novel parallelizable probabilistic approach to model eddy currents in AC electromagnets is presented in this research. Consequently, power loss associated with the formation of these eddy currents is estimated and validated using experimental data. Furthermore, predicting the effect of ferromagnetic alternating field enhancement on power loss in the source excitation winding has been an active area of research. Unlike a stationary field, an alternating sinusoidal field diffuses partially into the ferromagnetic material leading to a predictably sub-optimal field enhancement. To model these physics, finite element techniques employ nonlinear iterative solvers which are time consuming. A novel method is developed …
Project Thetis: A Low-Cost, Low-Profile Inertial Data Logger, Braidan Duffy
Project Thetis: A Low-Cost, Low-Profile Inertial Data Logger, Braidan Duffy
Theses and Dissertations
This thesis details the design, testing, calibration, and verification of a nine degree of freedom inertial measurement data logger for use with floating bodies. The instrument was conceived to address limitations of equipment used in classes within the Ocean Engineering department at Florida Institute of Technology. By meeting with several stakeholders and end users, a series of stakeholder requirements, capabilities, and component-level requirements were de- veloped that informed the design constraints. There were several hardware iterations of the board, culminating in Revision F5 which was extensively tested and proven. The design was inspected after testing concluded to determine which capabilities …
The Private Pilot Check Ride: Applying The Spacing Effect Theory To Predict Time To Proficiency For The Practical Test, Michael Scott Harwin
The Private Pilot Check Ride: Applying The Spacing Effect Theory To Predict Time To Proficiency For The Practical Test, Michael Scott Harwin
Theses and Dissertations
This study examined the relationship between a set of targeted factors and the total flight time students needed to become ready to take the private pilot check ride. The study was grounded in Ebbinghaus’s (1885/1913/2013) forgetting curve theory and spacing effect, and Ausubel’s (1963) theory of meaningful learning. The research factors included (a) training time to proficiency, which represented the number of training days needed to become check-ride ready; (b) flight training program (Part 61 vs. Part 141); (c) organization offering the training program (2- or 4-year college/university vs. FBO); (d) scheduling policy (mandated vs. student-driven); and demographical variables, which …
Component Approach For A Combined Hurricane Wind And Rainwater Damage And Time Related Expenses Model In Mid/High-Rise Buildings, Zhuoxuan Wei
Theses and Dissertations
This dissertation focuses on mid/high-rise commercial residential buildings (MHRB) vulnerable to wind-driven rainwater ingress during hurricanes. The author developed the WHIP-MHRB model, a new probabilistic vulnerability model funded by the Wind Hazard Infrastructure Performance Center (WHIP-C). This model combines the estimates of rainwater ingress, distribution and propagation, and damage assessments, and time-related expenses (TRE) predictions for MHRB during hurricanes. Embedded within WHIP-MHRB is the WHIP-TRE model, which forecasts repair times, delay times, downtime, and recovery times post-hurricane explicitly.
Furthermore, taking advantage of the new model, this study presents two approaches to address the combined wind and rain vulnerabilities of MHRB …
Stochastic Optimal Control Of Conditional Mckean-Vlasov Equations With Jump And Markovian Switching, Charles Samuel Conly Sharp
Stochastic Optimal Control Of Conditional Mckean-Vlasov Equations With Jump And Markovian Switching, Charles Samuel Conly Sharp
Theses and Dissertations
This thesis obtains a number of results in stochastic optimal control for conditional McKean-Vlasov equations with jump and Markovian switching. First, we prove the uniqueness of the solutions and derive a relevant version of Itô's formula. We provide the dynamic programming principle and prove the associated verification theorem. A stochastic maximum principle is established. Further, we derive the relationship between dynamic programming and the stochastic maximum principle. Additionally, we utilize our stochastic maximum principle result for a mean-variance portfolio selection problem.
Design Space Visualization And Exploration For Many Goal Problems Under Uncertainity, Niharika Balaji
Design Space Visualization And Exploration For Many Goal Problems Under Uncertainity, Niharika Balaji
Theses and Dissertations
ABSTRACT
Designing a complex engineered system is challenging due to many conflicting goals, uncertainties, and multiple interactions. Traditional optimization approaches often yield single-point solutions, which may not be suitable for early design stages due to their susceptibility to changes in conditions and uncertainties. To address this challenge, a satisficing approach is employed. This approach enables designers to effectively navigate the design space and identify satisficing solutions that balance conflicting goals in the face of uncertainties and changes in conditions. From a systems design perspective, we view design as an iterative process that involves making informed decisions based on available information …
Analyzing The Effects Of Ultrafast Laser Processing On Mechanical Properties Of 3d-Printed Pla Parts, Darshan Pramodbhai Yadav
Analyzing The Effects Of Ultrafast Laser Processing On Mechanical Properties Of 3d-Printed Pla Parts, Darshan Pramodbhai Yadav
Theses and Dissertations
Recent advances in additive manufacturing technologies have already led to wide-scale adoption of 3D-printed parts in various industries. The expansion in choice of materials that can be processed, particularly using Fused Deposition Modeling (FDM), and the steady advancements in dimensional accuracy control have extended the range of applications far beyond rapid prototyping. However, additive manufacturing still has considerable limitations compared to traditional and subtractive manufacturing processes. This work addresses limitations associated with the as-deposited surface roughness of 3D-printed parts. The effects of roughness-induced stress concentrations were studied on ultimate tensile strength and fatigue life. The samples were manufactured using a …
Two-Dimensional Boundary Value Problems For Quasi-Linear Hyperbolic Systems Of Second Order, Maram Alrumayh
Two-Dimensional Boundary Value Problems For Quasi-Linear Hyperbolic Systems Of Second Order, Maram Alrumayh
Theses and Dissertations
Boundary value problems in a characteristic rectangle Ω = [0, ω1] × [0, ω2] for second order quasi-linear hyperbolic systems are considered. The concept of strong well– posedness of a boundary value problem is introduced. For initial–boundary value problems there are established: (i) Necessary and sufficient conditions of strong well–posedness; (ii) Unimprovable sufficient conditions of local and global solvability; (iii) Effective sufficient conditions of solvability of Nicoletti type two–point initial– boundary value problems in case, where the righthand side of the system has arbitrary growth order in some phase variables. For nonlocal boundary value problems there are established: (i) Necessary …
Task Optimization Utilizing Digital Transformation Concepts - Automation Project Execution Via Agile Methodology, Anthony Steven Maiello
Task Optimization Utilizing Digital Transformation Concepts - Automation Project Execution Via Agile Methodology, Anthony Steven Maiello
Theses and Dissertations
Task Optimization via the use of automated process improvements is becoming more widespread as more industries lean into the concepts surrounding digital transformation. This shift also necessitates a complementary adaptation in project management methodologies to support the rapid and ever-changing environment, requirements, and innovations. This thesis examines the effectiveness of Agile methodology in managing digital automation projects, with a specific focus placed on process improvements with systems engineering. It accomplished this by contrasting the original model, designed and derived utilizing traditional project management techniques, with the proposed model which is a direct result of the application of Agile project practices. …
Deep Learning And Generative Ai Approaches For Automated Diagnosis And Personalized Treatment: Bridging Machine Learning, Medicine, And Biomechanics In Predicting Tissue Mechanics And Biomaterial Properties., Yasin Shokrollahi
Theses and Dissertations
Machine learning, particularly deep neural networks, has demonstrated significant potential in predicting high-dimensional tasks across various domains. This work encompasses a detailed review of Generative AI in healthcare and three studies integrating machine learning with finite element analysis for predicting biomechanical behaviors and properties. Initially, we provide a comprehensive overview of Generative AI applications in healthcare, focusing on Transformers and Denoising Diffusion models and suggesting potential research avenues to address existing challenges.
Subsequently, we addressed soccer-related ocular injuries by combining finite element analysis and machine learning to predict retinal mechanics following a soccer ball hit rapidly. The prediction errors are …
Private Ethereum Blockchain Implementation And Its Security Features For Smart Home Iot, Hasibul Grande Alam
Private Ethereum Blockchain Implementation And Its Security Features For Smart Home Iot, Hasibul Grande Alam
Theses and Dissertations
The security and privacy of IoT devices have become primary concerns as smart home networks are connected to the internet. Ethereum blockchain can be a solution to mitigate or prevent attacks – sniffing attacks, malware attacks, Eavesdropping, and Distributed Denial of Services (DDoS) attacks. Deploying Ethereum in resource constraint IoT devices is challenging due to resultant energy consumption, computational overhead, and delay. We adopted smart home as a case study to examine our methodology as a model for general IoT applications. This thesis work presents the implementation of private Ethereum blockchain that is optimized and installable on smart home IoT. …
Intellibeehive, Christian Ivan Narcia-Macias
Intellibeehive, Christian Ivan Narcia-Macias
Theses and Dissertations
Utilizing computer vision and the latest technological advancements, in this study, we developed a honey bee monitoring system that aims to enhance our understanding of Colony Collapse Disorder, honey bee behavior, population decline, and overall hive health. The system is positioned at the hive entrance providing real-time data, enabling beekeepers to closely monitor the hive's activity and health through an account-based website. Using machine learning, our monitoring system can accurately track honey bees, monitor pollen-gathering activity, and detect Varroa mites, all without causing any disruption to the honey bees. Moreover, we have ensured that the development of this monitoring system …
Addressing Engagement: Student Perceptions Of Meaningful Gamification In Online Courses, Jessica M. Sanchez-Barrera
Addressing Engagement: Student Perceptions Of Meaningful Gamification In Online Courses, Jessica M. Sanchez-Barrera
Theses and Dissertations
Although there is high enrollment in online college courses, there are concerns about student engagement (Martin & Bolliger, 2018; Dumford & Miller, 2018). Gamification has been shown to have the potential to improve student engagement. The purpose of the study was to describe how academic student engagement is impacted by Nicholson’s Meaningfully Gamified online course compared to traditionally taught online course. An embedded multiple case study research design was employed using self-determination theory as the theoretical framework to measure engagement. The theory constructs analyzed were autonomy, competence, relatedness, and student engagement. The research was conducted …
Quasipolynomials And The Unimodality Of Gaussian Polynomials, Paul Marsh
Quasipolynomials And The Unimodality Of Gaussian Polynomials, Paul Marsh
Theses and Dissertations
We illustrate a method to prove the unimodality of Gaussian polynomials ${N+m \brack m}$ for $m = 5$ and $6$, building upon Dr. Brandt Kronholm's work, which proved unimodality for $m = 2,3,$ and $4$. Our approach involves viewing coefficients $p(n,m,N)$ of Gaussian polynomials $N+m \brack m$ based on how far away $n$ is from the central coefficient $p(\lfloor\frac{mN}{2}\rfloor,m,N)$ and then creating generating functions for those coefficients. We then take the difference of neighboring generating functions and change those generating functions into quasipolynomials to verify that their coefficients are non-negative. While the generalization of these generating functions for the coefficients …
Hyperplane Arrangements Over The Ring Of Integers Modulo N., Ehiareshan James Obeahon
Hyperplane Arrangements Over The Ring Of Integers Modulo N., Ehiareshan James Obeahon
Theses and Dissertations
Let V be a finite vector space of dimension n over the field K. A hyperplane in V is an n − 1 dimensional subspace of V defined by an equation of the form∑ni=1 aixi = 0, ai ∈ K, (x1, ..., xn) ∈ V . A hyperplane arrangement is any finite collectionof hyperplanes. This work focuses on some hyperplanes arrangements such as the braid and the graphical arrangement {xi − xj = 0 : 1 ≤ i < j ≤ n}, the shi arrangement {xi − xj = 1 : 1 ≤ i < j ≤ n}, the threshold arrangement {xi + xj = 0 : 1 ≤ i < j ≤ n}, and the complete arrangement {∑i∈S xi = 0 : S ⊆ [n]}. The graphical arrangement is a subarrangement of the threshold arrangement. Chapter 1 gives an introductory overview of the entire work, the significance of hyperplane arrangements, and their interconnections.Chapter 2 presents some of the important definitions and the general theory underlying hyperplane arrangements. Chapter 2 also introduces what we would call the most important concept in the study of hyperplane arrangement, which is the characteristic polynomial. Every hyperplane arrangement(or simply arrangement) can be identified by a unique characteristic polynomial. Chapter 3 covers the braid, graphical, and Shi arrangement, and application to graph coloring, while Chapter 4 explores the threshold arrangement, and how it relates to threshold graphs. There is a bijection between the set of threshold graphs on n vertices and the set of regions of the boxed threshold arrangement. Finally, chapter 5 gives an introduction to the complete arrangement.
KEYWORDS: Threshold Arrangement, Characteristic Polynomial, Finite Field Method.
Stability, Longevity, And Regulatory Bionetworks, Christian N. K. Anderson
Stability, Longevity, And Regulatory Bionetworks, Christian N. K. Anderson
Theses and Dissertations
Genome-wide studies of diseases and chronic conditions frequently fail to uncover marked or consistent differences in RNA or protein concentrations. However, the developing field of kinetic proteomics has made promising discoveries in differences in the turnover rate of these same proteins, even when concentrations were not necessarily different. The situation can theoretically be modeled mathematically using bifurcation equations, but uncovering the proper form of these is difficult. To this end, we developed TWIG, a method for characterizing bifurcations that leverages information geometry to identify drivers of complex systems. Using this, we characterized the bifurcation and stability properties of all 132 …
Advancements In Molten Salt Physical Property Measurement: Archimedean Density, Couette Viscometer, And Flibe-Te Solution Penetration Analysis, Kent Powell Detrick
Advancements In Molten Salt Physical Property Measurement: Archimedean Density, Couette Viscometer, And Flibe-Te Solution Penetration Analysis, Kent Powell Detrick
Theses and Dissertations
This work primarily centers on measuring the physical properties of molten salts. It's dedicated to outlining the methodology, enhancing measurement methods, and scrutinizing data to uncover insights regarding the interaction between molten salt and solid structures in the context of designing and generating electrical energy in molten salt reactors. The initial phase of this research involved collaborating with Brigham Young University's molecular dynamics simulation group to create an Archimedean density measurement device. This endeavor was primarily geared towards generating empirical data for the purpose of enhancing molecular dynamics simulation data. The tasks encompassed designing and validating the experimental setup, with …
A New Algorithm For Encounter Generation: Encounters From Actual Trajectories (Enact), James Anthony Ritchie Iii
A New Algorithm For Encounter Generation: Encounters From Actual Trajectories (Enact), James Anthony Ritchie Iii
Theses and Dissertations
There is ongoing research at the Federal Aviation Administration (FAA) and other private industries to examine a concept for delegated separation in multiple classes of airspace to allow unmanned aircraft systems (UAS) to remain well clear of other aircraft. Detect and Avoid (DAA) capabilities are one potential technology being examined to maintain separation. To evaluate these DAA capabilities, input traffic scenarios are needed, but current approaches are limited by the breadth of the traffic recordings available. This thesis derives a new mathematical algorithm that uses great circle navigation equations in an Earth spherical model and an accurate aircraft performance model …
Enhancing Inter-Document Similarity Using Sub Max, Richard Imorobebh Igbiriki
Enhancing Inter-Document Similarity Using Sub Max, Richard Imorobebh Igbiriki
Theses and Dissertations
Document similarity, a core theme in Information Retrieval (IR), is a machine learning (ML) task associated with natural language processing (NLP). It is a measure of the distance between two documents given a set of rules. For the purpose of this thesis, two documents are similar if they are semantically alike, and describe similar concepts. While document similarity can be applied to multiple tasks, we focus our work on the accuracy of models in detecting referenced papers as similar documents using their sub max similarity. Multiple approaches have been used to determine the similarity of documents in regards to literature …
Electrospun Ethyl Cellulose Nanofibers With Phase Change Materials: Designing Temperature-Responsive Drug Delivery Systems, Michael Wildy
Electrospun Ethyl Cellulose Nanofibers With Phase Change Materials: Designing Temperature-Responsive Drug Delivery Systems, Michael Wildy
Theses and Dissertations
In this study, ethyl cellulose (EC) nanofibers loaded with either Rhodamine B (RhB) or Doxorubicin HCl (DOX) and phase change materials (PCM) were fabricated by blend electrospinning. EC is a cellulose derivative widely used as an excipient in the pharmaceutical industry and an ideal polymer for controlled drug release. Lauric acid (LA) and stearic acid (SA) were used as a material with a melting point close to physiological body temperature. Good drug-polymer compatibility and an amorphous distribution of drugs were shown by Fourier transform infrared spectroscopy, differential scanning calorimetry, and X-ray diffraction. The release rate of RhB was shown to …
Passive Positioning Using Linear Multilateration, Eric R. Widdison
Passive Positioning Using Linear Multilateration, Eric R. Widdison
Theses and Dissertations
Passive localization of aircraft in flight using signal time of arrival (TOA) poses some unique challenges. The sensors must be deployed in an approximately coplanar configuration, which produces significant vertical uncertainty in the estimated position. This dissertation examines the traditional algorithms used in passive localization. It presents general forms of linear TOA, time difference of arrival (TDOA), angle of arrival (AOA), and frequency difference of arrival (FDOA) equations from the literature and explains how to apply an intuitive geometric interpretation of these equations. It presents two novel algorithms for passive localization. One uses a one dimensional AOA (1AOA) to improve …
Malicious Game Client Detection Using Feature Extraction And Machine Learning, Spencer J. Austad
Malicious Game Client Detection Using Feature Extraction And Machine Learning, Spencer J. Austad
Theses and Dissertations
Minecraft, the world's best-selling video game, boasts a vast and vibrant community of users who actively develop third-party software for the game. However, it has also garnered notoriety as one of the most malware-infested gaming environments. This poses a unique challenge because Minecraft software has many community-specific nuances that make traditional malware analysis less effective. These differences include unique file types, differing code formats, and lack of standardization in user-generated content analysis. This research looks at Minecraft clients in the two most common formats: Portable Executable and Java Archive file formats. Feature correlation matrices showed that malware features are too …
Analysis Of Benefits Of Udot's Expanded Incident Management Team Program, Joel Clegg Hyer
Analysis Of Benefits Of Udot's Expanded Incident Management Team Program, Joel Clegg Hyer
Theses and Dissertations
In 2019, the Utah Department of Transportation (UDOT) funded a research study evaluating the performance measures of UDOT's expanded Incident Management Team (IMT) program. The number of IMTs patrolling Utah roadways increased from 13 to 25 between 2018 and 2020. Crash data were collected from the Utah Highway Patrol's Computer Aided Dispatch database and from the UDOT TransSuite database to compare IMT performance measures between the two years and to evaluate the benefits of the expanded IMT program. However, these data were compromised due to the effects of the COVID-19 pandemic. This study collected data for 2022 using the same …
Monitoring Brain Region-Specific Control Of Protein Turnover And Concentration Using Proteomics, Rebecca Suzanne Burlett
Monitoring Brain Region-Specific Control Of Protein Turnover And Concentration Using Proteomics, Rebecca Suzanne Burlett
Theses and Dissertations
Regulation of metabolism is vital to health and lies at the core of many different diseases. The breakdown of metabolisms' regulation within the brain can lead to neurological disease like Alzheimer's Disease (AD). AD is known to affect brain regions responsible for memory and memory processing like the hippocampus and entorhinal cortex. The regulation of these regions' protein quality, synthesis, and degradation deviate from 'normal' or 'healthy' levels when AD is happening. It is known there is a breakdown of regulation in those regions; however, little is known about the specifics of regulation in healthy brains regions or how it …