Engineering Commons^™

Heated Supersonic Jet Characteristics From Far-Field Acoustical Measurements, Matthew Austin Christian

Theses and Dissertations

In the field of supersonic jet noise, measurements of full-scale afterburning jet engines are infrequent and provide unique opportunities to better understand jet noise phenomena. This thesis represents a phenomenological jet noise analysis using far-field noise data collected from a T-7A-installed GE F404-103 turbofan engine. One issue with the far-field acoustic data from the T-7A was the effects of ground reflections present in the spectra generated from the measured waveforms. A previously developed ground reflection model was implemented into the data to account for this interference. This work represents the first time this model has been implemented in data collected …

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 …

Iprec And Isoblaze: Fuzzy Subcircuit Isomorphism For Ip Detection In Physical Netlists, Dallin Dahl, Corey Simpson, Keenan Faulkner, Brent Nelson, Jeffrey Goeders

Student Works

Netlist reverse engineering has many uses, from detecting hardware trojans to recovering missing design source files. However, the basic problem of finding IP in a netlist has not been widely discussed. The problem boils down to subgraph isomorphism on graphs constructed from netlists. We present two approaches to identifying IP in larger circuits. IPRec focuses on exploiting hierarchy in the IP design and is a rather conservative approach, while Isoblaze focuses on local properties and connectivity and is more liberal in matching.

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 …

Analog Artificial Neurons And Digital Amplifiers: Challenging The Roles Of Analog And Digital Circuit Architectures In Modern Cmos Processes, Taylor S. Barton

Theses and Dissertations

As complimentary metal-oxide semiconductor (CMOS) technologies scale and field-effect transistor (FET) architectures change, the factors in deciding to utilize analog or digital transistor behaviors evolve. This thesis examines three case studies where traditionally analog or digital circuitry has dominated published works but I show that the opposite regime has significant benefits in scaled CMOS technologies. I present a highly digital operational amplifier (traditionally analog) and two artificial neurons (traditionally digital). In Chapters 2 and 3 I present a highly-digital five-stage zero-crossing-based amplifier which breaks the trade-off between slew rate and settling accuracy. I investigate the optimal charge pump design by …

Using Severity Weighted Risk Scores To Prioritize Safety Funding In Utah, Tomas Barriga Aristizabal

Theses and Dissertations

Budgets for transportation improvements are limited so it is important for governments to focus on improving locations most in need of safety funding. The objective of the Two-Output Model for Safety (TOMS) is to provide the Utah Department of Transportation (UDOT) a reliable method to prioritize safety improvements on state-owned roadways among the different regions. This research will improve the existing Crash Analysis Methodology for Segments (CAMS) and Intersection Safety Analysis Methodology (ISAM) being used to analyze crashes on Utah roadways. The scope of this project is improving on the existing CAMS and ISAM to work together within R, to …

A Definition Of Reliable Water Supply For Public Water Systems, Easton Hopkins

Theses and Dissertations

"Reliable water supply" does not have a universal definition in Utah, or the Western United States, where water resources are limited and such a definition would be especially useful. Utah's three water agencies and 500 public water systems have no consistent method to define, evaluate, and report it, potentially leading to an inability to meet regulatory water demands. We propose a unified definition of reliable water supply for Utah's public water suppliers that can also be used elsewhere. The qualitative definition we propose is necessary to precede quantitative evaluations, set policy, and provide consistency to water resources management in Utah. …

Nano Composite Piezo-Responsive Foam Enabled Pressure Mapping, Jake Duane Sundet

Theses and Dissertations

Pressure injuries cause pain both physically and financially. By creating a comfortable pressure mapping system, pressure injuries can more easily be prevented, and a large expenditure avoided. Nano composite piezo-responsive foam (NCPF) is an inexpensive foam that can be used to measure a static load while still providing a comfortable interface. As NCPF compresses, the impedance changes, correlating to a change in pressure. Optimizing electrode geometry is needed to take full advantage of the impedance change NCPF incurs upon deformation. To optimize electrode geometry, a design of experiment was performed which concluded that a one square inch area of interlaced …

A Novel Application Of Spinning Disk Technology To Collect Plasma From Whole Blood Prior To Quantifying Plasma Rna, Naomi Rapier-Sharman, Mae-Lynn L. Hutchinson, Carlos M. Moreno, Abraham Quaye, Brian D. Poole, K. Scott Weber, William G. Pitt, Brett E. Pickett

Faculty Publications

The spinning disk technology has previously been utilized to isolate bacterial components from blood in hours instead of days. We hypothesized that this platform could be applied as an alternative approach to isolating plasma RNA from a whole blood sample. We consequently tested the efficacy of the spinning disk technology to extract plasma from whole blood upstream of RNA isolation and analysis. To do so, we collected plasma using either the spinning disk or the typical two-spin centrifuge method. We found that the spinning disk method results in significantly more hemolysis during collection than the conventional two-spin centrifuge method. However, …

Data And Cad Models Of Cyclic Testing Of Membrane Hinges For Use In Origami-Inspired Design, Mitchel Skinner

ScholarsArchive Data

The following includes results and CAD models of cyclic testing of membrane hinges for use in origami-inspired design. The results include the number of cycles until both visual damage and complete failure occurred in 7 different membrane materials. The CAD models of the testing setup are also included.

Neutronic Analysis Of The Byu Molten Salt Micro Reactor, Collin Bradford, Edward Mercado, Braden Clayton, Lagrande Gunnell, Andrew Larsen, Matthew Memmott

Faculty Publications

Background: With the rising need for reliable and clean energy, researchers at Brigham Young University created a molten salt microreactor (MSMR) concept to help meet the world’s growing energy demands. The MSMR is rated at 45 MWth and is uniquely capable of passively dissipating all decay heat using conduction only.

Methods: This work presents the results of the simulated neutronic behavior of the MSMR using the Monte Carlo neutronics code OpenMC with the ENDF/B-VII.1 cross-section library at steady state conditions. The specific characteristics discussed in this work are: keff, power profile, axial and radial peak power factors, Doppler coefficient of …

Facial Motion Augmented Identity Verification With Deep Neural Networks, Zheng Sun

Theses and Dissertations

Identity verification is ubiquitous in our daily life. By verifying the user's identity, the authorization process grants the privilege to access resources or facilities or perform certain tasks. The traditional and most prevalent authentication method is the personal identification number (PIN) or password. While these knowledge-based credentials could be lost or stolen, human biometric-based verification technologies have become popular alternatives in recent years. Nowadays, more people are used to unlocking their smartphones using their fingerprint or face instead of the conventional passcode. However, these biometric approaches have their weaknesses. For example, fingerprints could be easily fabricated, and a photo or …

Streamlining The Detection Of Human Thyroid Receptor Ligand Interactions With Xl1-Blue Cell-Free Protein Synthesis And Beta-Galactosidase Fusion Protein Biosensors, J. Porter Hunt, Tyler J. Free, Jackelyn Galiardi, Kevin M. Watt, David W. Wood, Bradley Charles Bundy

Faculty Publications

Thyroid receptor signaling controls major physiological processes and disrupted signaling can cause severe disorders that negatively impact human life. Consequently, methods to detect thyroid receptor ligands are of great toxicologic and pharmacologic importance. Previously, we reported thyroid receptor ligand detection with cell-free protein synthesis of a chimeric fusion protein composed of the human thyroid receptor beta (hTRβ) receptor activator and a β-lactamase reporter. Here, we report a 60% reduction in sensing cost by reengineering the chimeric fusion protein biosensor to include a reporter system composed of either the full-length beta galactosidase (β-gal), the alpha fragment of β-gal (β-gal-α), or a …

A Probabilistic View Of Protein Stability, Conformational Specificity, And Design, Jacob A. Stern, Tyler J. Free, Kimberlee L. Stern, Spencer Gardiner, Nicholas A. Dalley, Bradley Charles Bundy, Joshua L. Price, David Wingate, Dnnis Della Corte

Faculty Publications

Various approaches have used neural networks as probabilistic models for the design of protein sequences. These "inverse folding" models employ different objective functions, which come with trade-offs that have not been assessed in detail before. This study introduces probabilistic definitions of protein stability and conformational specificity and demonstrates the relationship between these chemical properties and the p(stucture|seq) Boltzmann probability objective. This links the Boltzmann probability objective function to experimentally verifiable outcomes. We propose a novel sequence decoding algorithm, referred to as “BayesDesign”, that leverages Bayes’ Rule to maximize the p(stucture|seq) objective instead of the p(seq|structure) objective common in inverse folding …

Cooperative Navigation Of Autonomous Vehicles In Challenging Environments, Brendon Peter Forsgren

Theses and Dissertations

As the capabilities of autonomous systems have increased so has interest in utilizing teams of autonomous systems to accomplish tasks more efficiently. This dissertation takes steps toward enabling the cooperation of unmanned systems in scenarios that are challenging, such as GPS-denied or perceptually aliased environments. This work begins by developing a cooperative navigation framework that is scalable in the number of agents, robust against communication latency or dropout, and requires little a priori information. Additionally, this framework is designed to be easily adopted by existing single-agent systems with minimal changes to existing software and software architectures. All systems in the …

Dynamic Skin Strain Fields In The Lumbar Region During Functional Movement, Andrew Gibbons, Anton Bowden, Ulrike H. Mitchell, David T. Fullwood

Student Works

Increasing efforts to leverage skin mounted wearables has exposed a gap in our understanding of skin strain in the lumbar region. Lumbar skin is known to be both inhomogenous and anisotropic, and experiences dramatic material strain during activities of daily living (ADLs). Previous efforts to quantify strain fields during ADLs has been limited to a few activities (primarily flexion) and have neglected inhomogeneity or anisotropy. The purpose of the present work was to address this gap by measuring large-deformation skin strain tensors in healthy volunteers during a cadre of functional movements.

36 tightly packed retro-reflective markers were mounted to the …

Recent Breakthroughs In Using Quantum Dots For Cancer Imaging And Drug Delivery Purposes, Aisha Hamidu, William G. Pitt, Ghaleb A. Husseini

Faculty Publications

Cancer is one of the leading causes of death worldwide. Because each person’s cancer may be unique, diagnosing and treating cancer is challenging. Advances in nanomedicine have made it possible to detect tumors and quickly investigate tumor cells at a cellular level in contrast to prior diagnostic techniques. Quantum dots (QDs) are functional nanoparticles reported to be useful for diagnosis. QDs are semiconducting tiny nanocrystals, 2–10 nm in diameter, with exceptional and useful optoelectronic properties that can be tailored to sensitively report on their environment. This review highlights these exceptional semiconducting QDs and their properties and synthesis methods when used …

Trumpet Directivity From A Rotating Semicircular Array, Samuel D. Bellows, Joseph E. Avila, Timothy W. Leishman

Directivity

The directivity function of a played musical instrument describes the angular dependence of its acoustic radiation and diffraction about the instrument, musician, and musician’s chair. Directivity influences sound in rehearsal, performance, and recording environments and signals in audio systems. Because high-resolution, spherically comprehensive measurements of played musical instruments have been unavailable in the past, the authors have undertaken research to produce and share such data for studies of musical instruments, simulations of acoustical environments, optimizations of microphone placements, and other applications. The authors acquired the data from repeated chromatic scales produced by a trumpet played at mezzo-forte in an anechoic …

Small-Scale Testing Of Passive Fire Protection Systems For Structures On The Wildland-Urban Interface, Makenzie Wilson, Thomas H. Fletcher, Taylor J. Sorensen

Faculty Publications

The average intensity and frequency of wildland fires have been on the rise over the years due to climate change. This, in combination with recent expansion and growth of rural areas, has led to an increased risk of wildfire damage for structures in the Wildland-Urban Interface (WUI). This paper proposes a permanent passive fire protection system that is built into the structure. A flame-resistant material would be attached to the sheathing underneath the roofing and siding material. This system would allow the easily replaceable exterior components of the structure to burn while leaving the interior of the structure protected. Small-scale …

Bacterial Extraction And Concentration From Blood Through Filtration Processes, Ryan L. Wood, Rebecca Prymak, Evelyn Welling, Alayna Bedwell, Jordan T. Wood, Damian E. Teasley, Magdalena Crofts, Hope Callister Anderson, Clifton M. Anderson, W Cameron Beard, Jacob Stepan, Alexandra Carter, William G. Pitt

Faculty Publications

Blood stream infections (BSIs) are challenging to rapidly and precisely diagnose. Current clinical diagnostic methods for BSI identification require culturing the blood sample for many hours prior to identifying the bacteria and possible antibiotic resistance. Removing the culturing step from the bacterial identification process of a BSI provides a significant reduction in the processing time, but shifts the rate-limiting step from the growth time to the concentration procedure, since CFU levels in clinical blood samples can be as low as 10 CFU/mL in blood. This study developed a novel whole blood filtration method to concentrate bacteria from a BSI without …

Transferrin-Targeted Liposomes In Glioblastoma Therapy: A Review, Paul Kawak, Nour M Al Sawaftah, William G. Pitt, Ghaleb A. Husseini

Faculty Publications

Glioblastoma (GBM) is a highly aggressive brain tumor, and its treatment is further complicated by the high selectivity of the blood–brain barrier (BBB). The scientific community is urgently seeking innovative and effective therapeutic solutions. Liposomes are a promising new tool that has shown potential in addressing the limitations of chemotherapy, such as poor bioavailability and toxicity to healthy cells. However, passive targeting strategies based solely on the physicochemical properties of liposomes have proven ineffective due to a lack of tissue specificity. Accordingly, the upregulation of transferrin receptors (TfRs) in brain tissue has led to the development of TfR-targeted anticancer therapeutics. …

Recommended Separation Distances For 1.3 Ammunition And Explosives, Clint Guymon, Ming Liu, Josephine Covino

Faculty Publications

Separation Distances are used throughout the world to protect people and assets from the potential hazardous effects from propellants, explosives, and pyrotechnics. The current separation distances for Hazard Division (HD) 1.3 substances and articles used in the United States, in some cases, may not adequately protect against the effects from heat flux and debris when those substances and articles are ignited in a confined structure. Multiple tests in such a confined scenario with HD 1.3 substances have shown that the heat flux and debris hazards could result in injury at distances beyond the current specified explosives safety separation distance (ESSD). …

Simultaneous Multistep Transformer Architecture For Model Predictive Control, Junho Park, Mohammad Reza Babaei, Samuel Arce Munoz, Ashwin N. Venkat, John Hedengren

Faculty Publications

Transformer neural networks have revolutionized natural language processing by effectively addressing the vanishing gradient problem. This study focuses on applying Transformer models to time-series forecasting and customizing them for a simultaneous multistep-ahead prediction model in surrogate model predictive control (MPC). The proposed method showcases improved control performance and computational efficiency compared to LSTM-based MPC and one-step-ahead prediction models using both LSTM and Transformer networks. The study introduces three key contributions: (1) a new MPC system based on a Transformer time-series architecture, (2) a training method enabling multistep-ahead prediction for time-series machine learning models, and (3) validation of the enhanced time …

Don't Fear The Artificial Intelligence: A Systematic Review Of Machine Learning For Prostate Cancer Detection In Pathology, Aaryn Frewing, Alexander B. Gibson, Richard Robertson, Paul Urie, Dennis Della Corte

Faculty Publications

The adoption of whole slide image (WSI) scanners in clinical practice was accelerated by US Food and Drug Administration approval in 2017, which allowed primary pathologic diagnoses to be made on scanned images. Images in the digital domain allow the application of pathology artificial intelligence (AI), including clinical decision support with algorithms performing specific diagnoses.1,2 These algorithms, if trained properly, could go beyond the ability of human observation to detect and quantify features that are not recognizable by human perception.1,3,4

Preparing For V2x Deployment: Evaluating Current Anonymity Implementations, And Developing A Framework For Gauging Roadside Unit Networkability, Daniel Arnaudov Sharp

Theses and Dissertations

In this thesis we answer two questions relating to the impending deployment of V2X. We answer, "What is the state of current privacy measures implemented to prevent tracking and promote anonymity?" We answer this by showing that tracking methods used to circumvent changing IDs are possible. We also show through conservative calculations that this problem will not go away on its own and requires direct effort. We also answer, "Is the available production V2X hardware ready for scalable deployment?" To do this we develop a framework for evaluating RSUs and many of their core functions related to deployment, scalability, and …

Designed For Better Control: Using Kinematic And Dynamic Metrics To Optimize Robot Manipulator Design, John R. Morrell

Theses and Dissertations

In the field of control theory, optimal performance is generally defined as the best possible controlled performance given a static, unchangeable plant system. However, principled design of the underlying system can make designing effective controllers easier and dramatically improve the final control performance beyond what any finely tuned controller could achieve alone. This work develops performance metrics for serial robot arms which help guide the design and optimization of the structure of the arm to achieve greater final performance. First, a kinematic (motion-based) metric called the Actuator Independence Metric (AIM) measures the uniqueness of the movement capabilities of the different …

Interaction Of Natural Convection And Real Gas Radiation Over A Vertical Flat Plate, Nathan Hale

Theses and Dissertations

This study explores natural convection heat transfer and fluid flow from a vertical plate in a radiating gas accounting for real gas spectral behavior. Finite volume techniques are used to solve the coupled nonlinear partial differential equations for mass, momentum, and energy conservation, while radiation transfer is modeled using the Discrete Ordinates finite volume finite angle method. Real gas spectral behavior is accounted for using the Rank Correlated Spectral Line Weighted-sum-of-gray-gases method. It is found that gas temperature and velocity are higher in the boundary layer, thickening the thermal and hydrodynamic boundary layers compared to the limiting case of pure …

Groundwater Resource Assessment For West Africa Using Earth Observations And Groundwater Modeling, Sergio Armando Barbosa Casas

Theses and Dissertations

Groundwater is a crucial global resource, particularly in semiarid regions where surface water is scarce. As a result, effective groundwater management is essential. However, the challenge lies in a lack of data and information for proper decision-making. This dissertation present studies related to groundwater storage changes and recharge in West Africa, using data from NASA's Gravity Recovery and Climate Experiment (GRACE) mission. In Niger, this research reveals little change in groundwater storage from 2002 to 2010 but a steep rise from 2010 to 2021, attributed partially to increased precipitation. Groundwater resources in Niger are found to be underutilized, with estimated …

Evaluating And Advancing Automated Traffic Signal Performance Measures: Statistical And Machine Learning Approaches, Bangyu Wang

Theses and Dissertations

Automated traffic signal performance measures (ATSPM) are increasingly used to collect and evaluate traffic data from signalized intersections. ATSPM provide invaluable insights into both current and historical traffic signal performance. With their adoption by over 39 state and local transportation agencies, ATSPM play a crucial role in traffic operation and maintenance. ATSPM are continually evolving, introducing new performance measures and applications tailored to the needs of various transportation agencies. However, despite their potential, several challenges require attention and resolution. The first challenge involves the underutilization of ATSPM data due to its massive volume, which can overwhelm traditional identification and prioritization …

Robust Localization And Landing For Autonomous Unmanned Aerial Vehicles In Maritime Environments, Alexander D. Jordan

Theses and Dissertations

This thesis presents methods for robust precision landing of unmanned air vehicles (UAVs) on platforms at sea. Localization methods are proposed for UAV-to-boat state estimation for systems that employ real- time kinematic (RTK) global navigation satellite system (GNSS) and vision sensors. Solutions for GNSS-only are first presented, followed by the fusion of GNSS and vision. The important problem of sensor intrinsic calibration is solved with a novel offline batch estimation approach. Hardware results are presented for all methods. Our calibration of GNSS-to-camera is shown to estimate sensor offsets with millimeter level accuracy. Localization systems are combined with custom state machines …