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Understanding The Role Of The Heat Transfer Coefficient Between Tool/Workpiece Interface During Friction Stir Welding, Matthew Goodson Dec 2024

Understanding The Role Of The Heat Transfer Coefficient Between Tool/Workpiece Interface During Friction Stir Welding, Matthew Goodson

Theses and Dissertations

The heat transfer coefficient is a key parameter in modeling friction stir welding and has yet to be measured experimentally. The importance of this parameter was shown through validating friction stir models on both sides of the tool/workpiece interface. Both a transient plunge and a steady state model were validated by matching experimental temperatures. The steady state tool temperatures were matched (with in 2.5%), but the steady state workpiece temperatures were off by around 20%. The transient model of the FSW plunge showed the effect of varying the ℎ𝑊/𝑇 on workpiece temperatures and tool temperatures. Two methods were looked at …


The Impacts Of Co-Occurring Developmental Language Disorder On The Academic, Interpersonal, And Behavioral Profiles Of Children With Adhd, Kirsten M. Hannig Russell, Sean M. Redmond Dec 2024

The Impacts Of Co-Occurring Developmental Language Disorder On The Academic, Interpersonal, And Behavioral Profiles Of Children With Adhd, Kirsten M. Hannig Russell, Sean M. Redmond

Faculty Publications

Purpose: Attention-deficit/hyperactivity disorder (ADHD) is a multifactorial disorder that has been linked to increased risk for behavioral, academic, and interpersonal problems. Developmental language disorder (DLD) has also been linked to poor outcomes in these areas. The presence of co-occurring disorders in children’s profiles is generally associated with poorer outcomes relative to profiles consisting of only one disorder. This study investigated the extent to which co-occurring DLD in children already identified with ADHD presented increased risk for severity of their primary ADHD symptoms, the presence of secondary behavioral problems, and/or increased problems in the tertiary areas of academic performance and interpersonal …


Journal Of Response To Writing 10(2) Dec 2024

Journal Of Response To Writing 10(2)

Journal of Response to Writing

No abstract provided.


Developing A Learner-Centered Response To Writing Through A Graduate Course In Writing-Across-The-Curriculum, Faqryza Ab Latif, Kristin Winet Dec 2024

Developing A Learner-Centered Response To Writing Through A Graduate Course In Writing-Across-The-Curriculum, Faqryza Ab Latif, Kristin Winet

Journal of Response to Writing

Although writing-across-the-curriculum (WAC) programs have been commonplace since the 1970s, the focus has largely been at the level of assessment and programmatic development and less on the instructors, particularly graduate teaching assistants (TAs) who adopt these practices. In this article, we describe a pilot WAC graduate-level course in writing pedagogy that our institution developed as part of our recent membership in the Center for the Integration of Research, Teaching, and Learning (CIRTL). We also share how one science, technology, engineering, and mathematics (STEM) graduate student revised her approach to assignment design, feedback, and assessment for a general education course and …


Soil Biogeography And Community Assembly In Polar Regions, Jesse Jorna Nov 2024

Soil Biogeography And Community Assembly In Polar Regions, Jesse Jorna

Theses and Dissertations

The polar regions provide community ecologists with natural microcosms, that include reduced species diversity, steep environmental gradients and limited human perturbance. Soil biodiversity in the polar regions is poorly understood, and the driving forces behind community compositions can range in scale from glacial forces 20,000 years ago to the impact of a researcher's footstep. Here, we present the results of an investigation of the driving factors behind biodiversity in Arctic and Antarctic soils, with specific attention to the role of community assembly processes. We suggest a framework for investigating the effects of inter-bacterial community processes like facilitation and argue for …


Enhancing Muscle Health And Modulating Immune Response With Galectin-1 In Lgmd2b/R2 Models, Stefannia Esparza Pulido Nov 2024

Enhancing Muscle Health And Modulating Immune Response With Galectin-1 In Lgmd2b/R2 Models, Stefannia Esparza Pulido

Theses and Dissertations

Limb-Girdle Muscular Dystrophy Type 2B/R2 (LGMD2B/R2) is a type of dysferlinopathy, a progressive muscle-wasting disorder caused by mutations in the dysferlin gene. Hallmarks of the disease include chronic inflammation, impaired muscle regeneration, and eventual muscle degeneration. Currently, no FDA-approved therapies are available for dysferlinopathies. Recombinant human Galectin-1 (rHsGal-1) has shown multiple roles in maintaining skeletal muscle homeostasis, promoting muscle repair, enhancing myogenesis, and modulating inflammation by downregulating the NF-κB pathway. The ability of rHsGal-1 to modulate the immune response is particularly promising for therapeutic applications in patients with LGMD2B/R2. In this study, we evaluated the effects of rHsGal-1 in a …


Aircraft Control, Collision Avoidance, And Remote Autonomy In Scenarios With Ground Radar Information, Jaron Charles Ellingson Nov 2024

Aircraft Control, Collision Avoidance, And Remote Autonomy In Scenarios With Ground Radar Information, Jaron Charles Ellingson

Theses and Dissertations

Unmanned aircraft systems (UAS) have become integral to various modern applications, including package delivery, security, medicine, and recreation. The autonomous operation of UAS significantly enhances their utility by improving performance and reducing operator workload, enabling collaborative missions such as boundary detection, border protection, and target tracking. To ensure safe integration of UAS, more work needs to be done in the areas of control, estimation, collision avoidance, path planning, hardware implementation, and autonomous practices in general. For this dissertation we chose to focus on the critical areas of control, collision avoidance, and remote autonomy. Our research is motivated by the need …


Compliant Structures Facilitate Less Invasive And Biomechanically Improved Lumbar Spinal Implants, Daniel J. Orr Nov 2024

Compliant Structures Facilitate Less Invasive And Biomechanically Improved Lumbar Spinal Implants, Daniel J. Orr

Theses and Dissertations

Implants used in lumbar spinal fusion and lumbar total disc replacement procedures have improved substantially over the years, however, the opportunity remains to improve either the adjustability, durability, motion, or minimally invasive characteristics which could aid in achieving optimal surgical outcomes. It is hypothesized that the inherent advantages of compliant mechanisms specifically Deployable Euler Spiral Connectors (DESCs) and a new mechanism known as the interior contact aided rolling element (I-CORE) are well suited for each of these applications and will be explored and utilized as the basis of these proposed designs. By addressing these challenges, the research endeavors to improve …


Advancements Of A Vibration-Based Sound Power Method For Direct And Indirect Applications, Ian Charles Bacon Nov 2024

Advancements Of A Vibration-Based Sound Power Method For Direct And Indirect Applications, Ian Charles Bacon

Theses and Dissertations

This dissertation advances the Vibration-Based Sound Power (VBSP) method for measuring the sound power of vibrating structures, expanding its applicability to a wider range of geometries and acoustic environments. The research addresses limitations of traditional sound power measurement techniques by developing an alternative method that achieves near Precision (Grade 1) accuracy while maintaining feasibility for in situ testing under uncontrolled acoustic conditions. After reviewing the current VBSP method in Unit 1, Unit 2 introduces stitching techniques for Scanning Laser Doppler Vibrometer (SLDV) measurements, enabling accurate 3D scans and extending the method to complex geometries. Experimental validation is provided for baffled …


A Study Of Fit And Friction Force As A Function Of The Printing Process For Fff 3d-Printed Piston–Cylinder Assembly, Philippe A. Passeraub, Quentin Allen, Elizabeth Clark, Michael Miles, Siddartha Berns, Maija Pearson, Sterling Allred, Jonah Brooks, Sylvain Hugon Nov 2024

A Study Of Fit And Friction Force As A Function Of The Printing Process For Fff 3d-Printed Piston–Cylinder Assembly, Philippe A. Passeraub, Quentin Allen, Elizabeth Clark, Michael Miles, Siddartha Berns, Maija Pearson, Sterling Allred, Jonah Brooks, Sylvain Hugon

ScholarsArchive Data

Dataset DOI: https://doi.org/10.26067/hjm6-3d45

The shared data comprises the experimental measurements performed presented in the figures 5, 6, 7, 9, 10, 11, 12, and in the tables for the following article:

Passeraub, P.A.; Allen, Q.; Clark, E.; Miles, M.; Berns, S.; Pearson, M.; Allred, S.; Brooks, J.; Hugon, S. A Study of Fit and Friction Force as a Function of the Printing Process for FFF 3D-Printed Piston–Cylinder Assembly. J. Manuf. Mater. Process. 2024, 8, 249. https://doi.org/10.3390/jmmp8060249


Actuation And Stabilization Of Volume-Efficient Origami-Inspired Mechanisms, Hunter T. Pruett Oct 2024

Actuation And Stabilization Of Volume-Efficient Origami-Inspired Mechanisms, Hunter T. Pruett

Theses and Dissertations

Trends in the aerospace industry are driving payloads to be smaller and less expensive while yet delivering comparatively large antennas. Deployable reflectarray antennas (RA) are the object of much research to meet these demands because they operate in a flat plane and are easier to stow than parabolic reflector antennas. Because they operate in flat plane, deployable RAs are well-suited to thickness-accommodated origami-inspired mechanisms. This work addresses pattern selection and modification, thickness accommodation, actuation, and stabilization of origami-inspired mechanisms intended to be used as RAs. First, a modified Miura-ori pattern termed volume-efficient Miura-ori (VEMO) is introduced, selected for its ability …


Magnetic Resonance Imaging Of Ultrasound Fields For Visualization And Measurement Of Pressure Amplitudes, Paul-Emile Victor Passe-Carlus Oct 2024

Magnetic Resonance Imaging Of Ultrasound Fields For Visualization And Measurement Of Pressure Amplitudes, Paul-Emile Victor Passe-Carlus

Theses and Dissertations

In vivo pressure estimations for therapeutic ultrasound has the potential of rendering treatments using non-invasive ultrasound targeting safer and more reliable. By quantifying pressures and their respective spatial locations, better acoustic predictions and models can be made. In this thesis, we aim to measure a pressure field from a piezo-electric transducer through a ballistic gel medium by using an external gradient coil to encode the pressure field in a way that can be read and quantified using an MRI scanner. We describe the methods and the results pertaining to visualizing a pressure field. The setup was able to capture pressure …


Equipping Future Physicians With Artificial Intelligence Competencies Through Student Associations, Spencer Hopson, Carson Mildon, Kyle Hassard, Paul Urie, Dennis Della Corte Oct 2024

Equipping Future Physicians With Artificial Intelligence Competencies Through Student Associations, Spencer Hopson, Carson Mildon, Kyle Hassard, Paul Urie, Dennis Della Corte

Faculty Publications

Advances in artificial intelligence (AI) in the medical sector necessitate the development of AI literacy among future physicians. This article explores the pioneering efforts of the AI in Medicine Association (AIM) at Brigham Young University, which offers a framework for undergraduate pre-medical students to gain hands-on experience, receive principled education, explore ethical considerations, and learn appraisal of AI models. By supplementing formal, university-organized pre-medical education with a student-led, faculty-supported introduction to AI through an extracurricular academic association, AIM alleviates apprehensions regarding AI in medicine early and empowers students preparing for medical school to navigate the evolving landscape of AI in …


Impacts Of Climate Change In The United States, Nathan T. Thompson Sep 2024

Impacts Of Climate Change In The United States, Nathan T. Thompson

Journal of Nonprofit Innovation

Climate change, a shift in long-term climate patterns primarily driven by anthropogenic factors, poses a super wicked problem impacting every sector and region globally, including the United States. This paper explores the scientific basis of climate change, its contributing factors, and the myriad consequences on terrestrial and aquatic systems, as well as mental health. Notably, the emission of greenhouse gases from fossil fuels and agricultural activities is the primary cause, exacerbated by ideological division and psychological distance. The U.S. has seen some progress with a 7% decrease in emissions over the past 30 years and a growing shift toward renewable …


Flexible Operation Of Nuclear Hybrid Energy Systems For Load Following And Water Desalination, An Ho, Blake W. Billings, John Hedengren, Kody M. Powell Sep 2024

Flexible Operation Of Nuclear Hybrid Energy Systems For Load Following And Water Desalination, An Ho, Blake W. Billings, John Hedengren, Kody M. Powell

Faculty Publications

Nuclear hybrid energy systems (NHES) have the potential to provide dependable and emission-free electricity to the grid while also increasing the flexibility and reliability of the electrical grid. Molten salt reactor (MSR) technology can provide consistent, carbon-free electricity while also increasing efficiency, security, and sustainability and reducing nuclear waste. This study investigates the integration of Molten Salt Reactors (MSR) and conventional Pressurized Water Reactors (PWR) with desalination technologies: Direct Contact Membrane Distillation (DCMD), Multi-Stage Flash Distillation (MSFD), and Reverse Osmosis (RO). Dynamic first-principles models were developed and tested using real grid data from the New York Independent System Operator. The …


Computational And Experimental Advances In Nuclear Magnetic Resonance For High Resolution Structures, Ryan Toomey Sep 2024

Computational And Experimental Advances In Nuclear Magnetic Resonance For High Resolution Structures, Ryan Toomey

Theses and Dissertations

Since its inception, nuclear magnetic resonance (NMR) has been a valuable tool for determining chemical structure. In recent years, the field of NMR has been advanced forward by the ability to calculate theoretical parameters with increasing accuracy and efficiency. These calculations are compared to experimental data to produce high resolution structures. The progression of these applications has been made possible by improved instrumentation, data processing methods, probe and experiment design, better quality functionals and basis sets, as well as increased computational power. This research is especially relevant with the emergence of artificial intelligence, which has great potential to expedite steps …


Model Predictive Control Of A Grid-Scale Thermal Energy Storage System In Relap5-3d, Jaron Wallace, John Hedengren, Kody Powell, Matthew Memmott Sep 2024

Model Predictive Control Of A Grid-Scale Thermal Energy Storage System In Relap5-3d, Jaron Wallace, John Hedengren, Kody Powell, Matthew Memmott

Faculty Publications

This research delves into the integration and control of a Thermal Energy Storage (TES) system with a Small Modular Reactor (SMR), specifically the NuScale VOYGR SMR module in RELAP5-3D. The research methodology centered on modeling the NuScale VOYGR SMR, a light water pressurized water reactor (LWR) with a power output capacity of 77 MWe per module. The reactor and plant details were sourced from NuScale's final safety analysis report and supplemented by information from the NuScale website. The SMR plays a crucial role in energy generation, and to manage and dispatch the produced energy effectively, a robust storage system …


Locating Diversity In Reservoir Computing Using Bayesian Hyperparameter Optimization, Whitney Lunceford Sep 2024

Locating Diversity In Reservoir Computing Using Bayesian Hyperparameter Optimization, Whitney Lunceford

Theses and Dissertations

Reservoir computers rely on an internal network to predict the future state(s) of dynamical processes. To understand how a reservoir's accuracy depends on this network, we study how varying the networ's topology and scaling affects the reservoir's ability to predict the chaotic dynamics on the Lorenz attractor. We define a metric for diversity, the property describing the variety of the responses of the nodes that make up reservoir's internal network. We use Bayesian hyperparameter optimization to find optimal hyperparameters and explore the relationships between diversity, accuracy of model predictions, and model hyperparameters. The content regarding the VPT metric, the effects …


Cognosis And The Evolution Of Civilization, Ken Baskin Sep 2024

Cognosis And The Evolution Of Civilization, Ken Baskin

Comparative Civilizations Review

From the time when the complex states such as Egypt or Sumer emerged roughly 5,000 years ago, the civilizations they represent have generally become more populous, more socially varied, wealthier, and more technologically advanced. As a result, the innovations they produced would begin to change the conditions in which they existed, and their cultures have had to evolve to adapt to this ongoing change. For instance, the cultures of Bronze Age Egypt and the Iron Age Han Dynasty had to be quite different, even though both were agricultural societies. And, of course, the Electronic Age cultures of the United States …


Niccolò Longobardo And The Early Modern Encounter Of Europe With China, Yu Liu Sep 2024

Niccolò Longobardo And The Early Modern Encounter Of Europe With China, Yu Liu

Comparative Civilizations Review

Writing in 1962 about the founding fathers of the early modern Jesuit China mission, Jesuit historian George H. Dunne famously called them the generation of giants “who, breaking with the dominant spirit of their times and recalling a distant past, restored the concept of cultural adaptation to a central position in the world mission of Christianity.”


Seventeen Crises In Western Civilization That Have Arisen Since The Dark Ages: A Cognition Science-Oriented Approach, Andrew Targowski Sep 2024

Seventeen Crises In Western Civilization That Have Arisen Since The Dark Ages: A Cognition Science-Oriented Approach, Andrew Targowski

Comparative Civilizations Review

The purpose of this article is to synthesize those crises in the unfolding of Western civilization that are controlled by human knowledge and wisdom. The methodology is transdisciplinary, utilizing a cognitive science-oriented, big-picture view of civilization and main conflicts. The crises are investigated across three time periods; the Dark Ages (from the fifth to the fourteenth century), Modern Times (from the fifteenth to the twentieth century), and the present century. The findings reveal that today Western civilization faces seventeen significant crises. Knowledge is not sufficient to solve these crises; we need to employ knowledge-based wisdom. This approach presents a new …


Analysis Of Isotopic Effects On Hydrogen Oxidation, Jacob Carter Wilde Aug 2024

Analysis Of Isotopic Effects On Hydrogen Oxidation, Jacob Carter Wilde

Theses and Dissertations

Tritium generation presents a significant hazard during operation of nuclear reactors and necessitates safety precautions in the case of a combustion incident. Accurate kinetic models should inform these safety precautions, however, reliable tritium data do not exist to generate such models. This work focuses on laminar flame speed, which is an important component of kinetic models. Current estimates based on established kinetic theories and experimental measurements of the other isotopes of hydrogen predict tritium to have a flame speed approximately 70% that of standard protium over a broad range of stoichiometries at one atmosphere in air. These estimates are based …


Geology Of Sinai Tholus, Thaumasia Plateau, Mars, Haley Mosher Aug 2024

Geology Of Sinai Tholus, Thaumasia Plateau, Mars, Haley Mosher

Theses and Dissertations

A new geologic map of the Sinai Tholus region on the Thaumasia plateau, Mars reveals the structural, magmatic, and stratigraphic complexity that can be found in the Tharsis region on Mars, and may help answer key questions about the origin of the subvolcanic basement, evolution of the regional stress field, development of Valles Marineris, and magmatic history of the region. Sinai Tholus is a topographic high in a relatively flat, lava flow covered part of Thaumasia Plateau, just south of the central part of Valles Marineris. Here, five stratigraphic units and one generalized impact unit have been mapped at a …


The Effects Of Writing Groups On Student Self-Efficacy, Katie Francom Aug 2024

The Effects Of Writing Groups On Student Self-Efficacy, Katie Francom

Theses and Dissertations

High school students often lack confidence in their writing. One way to change this is by increasing their self-efficacy regarding writing. Previous studies suggest that writing groups have effectively improved students' self-efficacy in higher education. However, more must be done to see if this same intervention would succeed in high school. This study aimed to test this hypothesis and answer the question: How does participating in writing groups shape adolescents' writing self-efficacy? To do this, 57 11th-grade students participated in writing groups in an Honors English 11 class over a semester. For the study, they were surveyed about their writerly …


Implicit Vs. Explicit Approaches When Teaching Reflexive Structures In A Fifth-Grade Spanish Dual Immersion Classroom, Paula Valeria Ward Aug 2024

Implicit Vs. Explicit Approaches When Teaching Reflexive Structures In A Fifth-Grade Spanish Dual Immersion Classroom, Paula Valeria Ward

Theses and Dissertations

Dual language immersion (DLI) students can develop high levels of proficiency in their second language at a young age. However, they often have difficulties with their accuracy using advanced grammatical constructions (Watzinger-Tharp et al., 2018), such as using different verbs tenses or gender and number agreement in speaking and writing (Bateman et al., 2020). The goal of this study is to test whether explicit or implicit instructional approaches are more effective in the teaching of one such grammatical concept, specifically reflexive constructions, in two DLI classrooms. In this research, I investigated results from a five-lesson treatment in a case study …


One-Dimensional Cores Of Peano Continua, Shogo Starr Aug 2024

One-Dimensional Cores Of Peano Continua, Shogo Starr

Theses and Dissertations

In this paper, we define a berbering of a Peano continuum, which is the space one gets by attaching a null sequence of circles to a countable dense subset of a Peano continuum. The topology of a berbering is one that recognizes which circles are small, in the sense that any neighborhood of the original Peano continuum will entirely contain all but finitely many of the attached circles. We then show that given a berbering of any simply connected, locally simply connected Peano continuum $Y$, there exists a one-dimensional Peano continuum $X$ and a map from $X$ to the berbering …


Feature Engineering For Grain Boundaries And Other Variable-Sized Atom Clusters, C. Braxton Owens Aug 2024

Feature Engineering For Grain Boundaries And Other Variable-Sized Atom Clusters, C. Braxton Owens

Theses and Dissertations

Obtaining microscopic structure-property relationships for grain boundaries are challenging because of the complex atomic structures that underlie their behavior. This has led to recent efforts to obtain these relationships with machine learning, but representing a grain boundary structure in a manner suitable for machine learning is not a trivial task. There are three key steps common to property prediction in grain boundaries and other variable-sized atom clustered structures. These are: (1) describe the atomic structure as a feature matrix, (2) transform the variable-sized feature matrices of different structures to a fixed length common to all structures, and (3) apply machine …


Wind-Carved Wonders: An Aerial Study Of Yardangs In The Puna, Argentina Using Drone And Satellite Imagery, Derek Gordon Ashliman Aug 2024

Wind-Carved Wonders: An Aerial Study Of Yardangs In The Puna, Argentina Using Drone And Satellite Imagery, Derek Gordon Ashliman

Theses and Dissertations

Yardangs, elongated landforms sculpted by wind erosion, are prominent features in the Campo de Piedra Pomez (CPP) region of the Puna-Altiplano Plateau, Argentina. This study explores their formation and evolution through the examination of a 6 km by 0.5 km area captured in 2019 and a 5 km by 0.5 km area in 2024. High-resolution drone imagery and satellite data were employed to classify and quantify yardangs, gravel, and underlying bedrock across a vast study area. The research reveals a variation in yardang distribution and morphology from northwest (windward) to southeast (leeward), noting a significant decrease in yardang and bedrock …


Dynamics Of Dissolved And Particulate Trace Metals In A Snowmelt-Dominated Stream, Provo River, Utah, Usa, Kendra Louise Caskey Aug 2024

Dynamics Of Dissolved And Particulate Trace Metals In A Snowmelt-Dominated Stream, Provo River, Utah, Usa, Kendra Louise Caskey

Theses and Dissertations

Trace element concentrations vary substantially during snowmelt runoff, with changes in the dissolved versus particulate fractions potentially impacting their movement at the catchment scale. To investigate trace element behavior in a snowmelt dominated stream, we measured concentrations in different size fractions in the Provo River (northern Utah, USA). We sampled the river at three locations during water years 2016-2018 and 2021-2023 for trace metal and major ion concentrations. During the final year, we collected three fractions (unfiltered, <0.45 µm filtered, and <0.22 µm filtered) for trace metal chemistry and calculated the particulate concentration as the difference between the unfiltered and 0.45 µm fraction. Stream measurements included pH, discharge, turbidity, and fluorescent dissolved organic matter (fDOM). We also sampled water sources (soil water, ephemeral streams, and snowpack) to compare trace metal concentrations across the watershed with the stream. Trace metal (Al, Be, Fe, Pb) and rare earth element (REE +Y) concentrations had the highest particulate and dissolved concentrations during snowmelt runoff. In contrast, major cations were primarily found in the dissolved fraction with lowest concentrations during snowmelt runoff. Major cation and particulate metal concentrations increased from upstream to downstream. The increased trace metal and REE + Y concentrations during snowmelt relative to baseflow may be explained by increased discharge and associated increased turbidity and fDOM. A comparison with water sources suggests that dissolved and particulate trace metals in the stream are sourced from flushed soil water, as trace metal transport through the watershed is facilitated by suspended sediment and dissolved organic matter. For most of the trace metals and REE +Y, concentrations were similar in the <0.45 µm and <0.22 µm fractions. Yet Al tended to have higher concentrations in the <0.45 µm fraction, suggesting a colloidal form of Al between 0.22 µm and 0.45 µm may exist. Differences from upstream to downstream may be related to changes in pH, from ~7 at the upper site to ~8 at the lower sites, which would change sorption capacity, saturation indices, or speciation. Our study demonstrates that trace metal concentrations are variable during snowmelt as the metals interact with suspended particles or dissolved organic matter and are influenced by changing water chemistry, with implications for understanding water quality impairments in snowmelt-dominated streams.


Deep Learning For Source Localization In A Laboratory Tank, Corey Emerson Dobbs Aug 2024

Deep Learning For Source Localization In A Laboratory Tank, Corey Emerson Dobbs

Theses and Dissertations

Deep learning has been applied to underwater acoustics problems in many forms. One difficulty in applying deep learning techniques to ocean acoustics is the spatially and temporally varying environmental properties. Another challenge is the lack of labeled data for training large networks. The overall goal of this work is to develop deep learning approaches for source localization that can be adaptable to different conditions. In this work, a convolutional neural network was trained on acoustic data measured in a water tank, while the water was at room temperature, to predict source-receiver range. Tests were done to ascertain ideal quantities of …