Engineering Commons^™

Design And Application Of Smart Systems To Address Analytical Problems, Lucas B. Ayres

All Dissertations

This dissertation is a multidisciplinary effort that integrates low-cost analytical instrumentation, redox chemistry, and artificial intelligence to overcome existing limitations in the fields of wearable sensing technology, Deep Eutectic Solvents (DES), and antioxidant chemistry. The overall goal behind each implemented strategy is to enhance the accuracy, efficiency, and accessibility of analytical processes and technologies. A general overview of the thesis, along with the research outcomes is included in Chapter One. The theoretical framework of this dissertation is presented in Chapter Two. Chapter Three describes the development of a wearable platform (sensor and instrumentation) to rapidly detect (~20 minutes) S. aureus …

Robust And Trustworthy Deep Learning: Attacks, Defenses And Designs, Bingyin Zhao

All Dissertations

Deep neural networks (DNNs) have achieved unprecedented success in many fields. However, robustness and trustworthiness have become emerging concerns since DNNs are vulnerable to various attacks and susceptible to data distributional shifts. Attacks such as data poisoning and out-of-distribution scenarios such as natural corruption significantly undermine the performance and robustness of DNNs in model training and inference and impose uncertainty and insecurity on the deployment in real-world applications. Thus, it is crucial to investigate threats and challenges against deep neural networks, develop corresponding countermeasures, and dig into design tactics to secure their safety and reliability. The works investigated in this …

Electrode Engineering For Enhanced Performance And Low-Cost Redox Flow Batteries, Abena Williams

All Dissertations

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Trust Model Measurements For The Energy Grid Of Things, N. Sonali Fernando, John M. Acken, Robert Bass

Electrical and Computer Engineering Faculty Publications and Presentations

Information security is essential for the reliable operation of an Energy Grid of Things (EGoT). In addition to basic information security protocols as defined by published standards, there is a need for a monitoring function that measures the trustworthiness of the various actors participating in an EGoT. We describe in this paper the implementation and evaluation of a Distributed Trust Model that was developed specifically for monitoring communication within an EGoT. We then show how the model parameters are set using statistical measures for hypothesis testing.

Hardware Trojan Detection Utilizing Graph Neural Networks And Structural Checking, Hunter Nauman

Graduate Theses and Dissertations

The integrated circuit (IC) industry has experienced exponential growth, particularly in the complexity and scale of hardware designs. To sustain this growth, faster development cycles and cost-effective solutions have been the focus for many companies. One strategy to maintain this growth is through the incorporation of third-party intellectual property (IP) into the IC design process. Outsourcing the production of sub-components reduces development time and enables faster time-to-market, however, this approach also introduces the threat of Hardware Trojans. Hardware Trojans, defined as any malicious modification or addition to an IC, pose significant security risks due to their small size, low activation …

Estimation Of Benefits From Pedestrian And Bicycle Improvements, Dionysios Tzamakos, Nikiforos Stamatiadis, William Staats, Teng Wang, Reginald Souleyrette

Kentucky Transportation Center Research Report

Delivering safe mobility for all users of the transportation system is a key priority of the Kentucky Transportation Cabinet (KYTC). Because many system users rely on pedestrian and bicycle facilities, it is critical for KYTC to balance pedestrian and bicycle facility accommodations with those for motorized users. Currently, the Strategic Highway Investment Formula for Tomorrow (SHIFT) — the Cabinet’s systematic approach to scoring and prioritizing proposed roadway projects — awards up to five points (out of a possible total of 100) for pedestrian and bicycle projects. But the agency lacks a robust method for estimating the benefits of pedestrian and …

Development And Testing Of An 8-Bit Digitally Throttled Hybrid Rocket Motor, Trevor W. Coombs

All Graduate Theses and Dissertations, Fall 2023 to Present

Hybrid rocket motors that use a solid fuel grain and liquid oxidizer are low-cost and safer alternatives to traditional rocket motors. Another benefit of hybrid rocket motors is that during a burn, the amount of oxidizer into the combustion chamber can be changed, this capability is called throttling. To take advantage of the throttling ability of hybrid rocket motors, a throttling valve made up of 8 individually controlled valves is designed, developed, and tested, which is documented in this thesis. The results of the testing campaign show that the 8-bit digital throttling valve technology is an effective throttling technology and …

Exploring The Role Of Near Channel Geospatial Attributes To Predict Suspended Sediment Concentration Patterns Across The Conus Region, Aaron J. Sigman

All Graduate Theses and Dissertations, Fall 2023 to Present

High concentrations of suspended sediment (SSC) in a river can represent a critical water quality concern, reduce the storage capacity of reservoirs, and impact aquatic habitat. The total amount of sediment is calculated from a combination of river properties, including the amount of available sediment and the flow of water carrying the sediment. Water flow properties can be found using local information about the channel, however understanding the concentration of sediment in the river requires understanding the supply of sediment from the watershed. To understand where sediment is coming from, we examined over 1000 United States Geological Survey sites with …

Field Flow Measurements For Pipe Installations With Non-Ideal Conditions, Jake Douglas

All Graduate Theses and Dissertations, Fall 2023 to Present

Accurate flow measurement data is necessary to effectively manage water resources. The purpose of this research is to investigate options to improve field flow measurement by investigating alternatives for calibrating flow meters installed in non-ideal piping. Typically, to accurately measure a flow rate using most types of flow meters, it is recommended that a straight section of pipe be installed immediately upstream and downstream of the flow meter to avoid flow fluctuations at the meter location. However, in many cases, flow disturbances upstream of the meter are unavoidable.

The performance of field flow measurements in non-ideal piping scenarios were studied …

Understanding Peer Interactions In Undergraduate Engineering Education, Jack C. Elliott

All Graduate Theses and Dissertations, Fall 2023 to Present

Whether they occur inside or outside the classroom, social interactions between undergraduate students play a key role in student success. As a result, engineering education researchers have sought to understand why students interact with certain peers, and which types of interactions relate to positive student outcomes. While existing studies show promising results for formal group assignments, most have been conducted in a single undergraduate course. Because important student interactions occur outside and inside courses, more research is needed to fully understand (a) why students choose to, or not to, interact with other students, and (b) how these interactions relate to …

Quantifying The Role Of Karst Groundwater On Mountain River Discharge, Devon Hill

All Graduate Theses and Dissertations, Fall 2023 to Present

A primary objective of hydrological research is to anticipate the shifts in water supply due to climate change. These shifts are difficult to predict in karst areas like Logan Canyon because much of the water moves through large fractures and cave networks that transport groundwater quickly, but there are some groundwater fractions which move very slowly. Many studies in karst regions use spring dynamics to assess aquifer condition, but overlook other influences such as exchanges between a river and the underlying aquifer. In this study, we calculated the quantity and chemical makeup of these groundwater and surface water exchanges by …

Investigating The Impact Of Pre-Professional Organization Participation On Undergraduate Technology And Engineering Education Student Retention And Interest In Teaching, Emily Yoshikawa-Ruesch

All Graduate Theses and Dissertations, Fall 2023 to Present

The field of Technology and Engineering Education (TEE) has evolved in name and content throughout its existence. Throughout these evolutions, the number of TEE programs across the United States have decreased along with a decrease in the number of students graduating from undergraduate TEE programs. Previous investigations into the recruitment of TEE students have identified social interactions with TEE program faculty and technology and engineering educators as influential in students' interest in teaching technology and engineering at the secondary level. This study sought to investigate how social interactions through participation in Technology and Engineering Educators Association (TEECA), as a community …

Novel Kinetic Description Of Real-Time Polymerase Chain Reaction Characterizes Interrelated Effects Of Sample, Master Mix, And Cycle Time, David Tafur

All Graduate Theses and Dissertations, Fall 2023 to Present

Real-time quantitative polymerase chain reaction fluorescent curves are influenced by the quantification method, template length, primer sequence, polymerase activity, reaction conditions, and unwanted side reactions. Interpretation of these curves depends on understanding the subjacent mechanisms by which those factors can alter the curve profile, particularly on highly diluted analytes or impure samples. However, such factors are individually described today, or their interplay is not fully developed. The present work examines the effect of primer dimer formation and extension, resource competition, template reannealing, and polymerase thermodegradation, in addition to novel descriptions of polymerase competitive inhibition, extended primer amplification, and the probability …

Evaluating 1d And 2d Small-Strain Ground Response Analyses At The I-15 Downhole Array Using Recorded Aftershocks From The M5.7 2020 Magna, Utah Earthquake, Tyler S. Jackson

All Graduate Theses and Dissertations, Fall 2023 to Present

As earthquake waves exit rock and travel up through softer subsurface strata on their way to the surface, the intensity of ground shaking is significantly influenced by the subsurface soil layering and often increases in areas with deeper, softer soil deposits. The soft soils present in Utah’s valleys, deposited during the era of Lake Bonneville, tend to amplify the energy and intensity of ground motion felt by people and structures alike. Thus, the first step to designing earthquake resilient infrastructure in Utah is understanding how the subsurface soil layers amplify and/or attenuate ground motions induced by an earthquake. Methods used …

Tracking Perfluoroalkyl Substances From Wastewater Influent To Its Accumulation In Vegetables And Forage Grass, Simon Kozik

All Graduate Theses and Dissertations, Fall 2023 to Present

Per and poly-fluorinated alkyl substances (PFAS) are a class of chemicals that are persistent in the environment. PFAS was found in wastewater, which can be used after wastewater treatment for irrigation water, and in the biosolids that can be mixed with soils to provide nutrients and generally improve soil quality. This study found when wastewater was used it increases the level of PFAS in vegetables and forage grass. PFAS concentrations were tracked from the influent of the wastewater treatment plant to the effluent, to the irrigation water, to the soil, and finally into the vegetable and forage grass grown on …

Uv-A Light: A Novel Method For Food Dehydration, Mckade S. Roberts

All Graduate Theses and Dissertations, Fall 2023 to Present

Dehydration is one of the most prevalent forms of food preservation, with approximately 85% of food is hot air drying due to the simplicity of the process. The high temperatures employed in this method may also induce a loss in nutritional quality, which involves destruction of micronutrients (vitamins), and loss of color.

The aim of this work is to develop a low energy, non-thermal method of food dehydration that results in a high-quality product through the application of Ultraviolet light, within the UV-A range. UV light can be separated into its 3 categories based on the wavelength of light from …

Techniques To Overcome Energy Storage Limitations In Electric Vehicles, Matthew J. Hansen

All Graduate Theses and Dissertations, Fall 2023 to Present

Electric vehicles are becoming increasingly popular, battery limitations (cost, size, and weight) complicate electric vehicle adoption. While important research on battery development is ongoing, this dissertation discusses two main approaches to overcome those limitations within the existing battery technology paradigm. Those thrusts are: improving battery health through an optimal charging strategy and minimizing necessary battery size through dynamic wireless power transfer. In this dissertation, relevant literature is discussed, with opportunities for further development considered. Within the two thrusts, three objectives sharpen the focus of the research presented here. First, a planning tool is defined for a battery electric bus fleet. …

Machine Learning And Geostatistical Approaches For Discovery Of Weather And Climate Events Related To El Niño Phenomena, Sachi Perera

Computational and Data Sciences (PhD) Dissertations

El Nino and La Nina are worldwide environmental phenomena brought about by repetitive changes in the water temperature of the Pacific Ocean. Even though the El-Nino impact focuses on a smaller area in the Pacific Ocean near the Equator, these developments have global repercussions, where temperature and precipitation are influenced across the globe, causing droughts and floods simultaneously. In this dissertation, we first derived a drought vulnerability index for the Nile basin, identifying regions with high and low drought risk under ENSO conditions. Next, we evaluated the coherence and periodicity of the ENSO signal to detect its implications on MENA …

Adipose Stem Cell Response To Borophosphate Bioactive Glass, Nada A. Abokefa, Bradley A. Bromet, Rebekah L. Blatt, Makenna S. Pickett, Richard K. Brow, Julie A. Semon

Materials Science and Engineering Faculty Research & Creative Works

Silicate and Borate Bioactive Glasses Have Been Reported to Create Alkaline Conditions by Rapidly Releasing Ions When Reacting in Aqueous Solution. at Certain Levels, This Alkaline Solution Can Negatively Affect Cell Viability. Adding Phosphate Ions to the Glass Composition Can Control the Degradation Rate of Bioactive Glasses and Create a Neutral PH Environment. This Study Evaluated a Series of Boro phosphate Bioactive Glasses (BPBGs) with Nominal Molar Compositions 16Na₂O_-24CaO-XB₂O₃-(60-X) P₂O₅, Where X = 0, 40, or 60. the Phosphate (X0) Glass (PBG) Produced an Acidic Solution When Dissolved …

Blade Design And Validation Of Hydrokinetic Turbine To Harvest Water Current Energy, Setare Sadeqi

LSU New Orleans Theses and Dissertations

The innovative aspect of this research lies in the careful integration of cutting-edge technologies throughout the entire process of designing, fabricating, and testing the carbon fiber propeller for the 3-bladed horizontal axis ocean current turbine (OCT). SolidWorks software played a pivotal role in the initial design phase, enabling a meticulous and precise modeling of the propeller's geometry. The utilization of SolidWorks allowed for a detailed exploration of various design parameters, ensuring that the propeller's structure and form were optimized for performance in ocean current conditions. Moving beyond the realm of virtual design, the choice of carbon fiber as the fabrication …

The Contribution Of Micrornas To Rybp Silencing In Glioblastoma Multiforme, Alex B. Lee

Graduate Theses

Glioblastoma multiforme (GBM) is a highly aggressive and invasive tumor of the central nervous system (CNS). Survival rates are abysmal, with only 7.2% of patients alive 5-years after diagnosis. Because of this, understanding epigenetic alterations that give GBM tumors their aggressive phenotypes is critical for the development of more targeted and effective therapies. These alterations frequently affect a group of proteins called the Polycomb group proteins, which play important oncogenic and tumor suppressive roles in cancer. One Polycomb protein, the RING1- and YY1-binding protein (RYBP), is downregulated in a majority of GBM patients, suggesting a strong tumor suppressive property. In …

Recommender System Design And Multi-Channel Pricing: Personalization Strategies For Online Platforms, Hao Zhang

Dissertations and Theses Collection (Open Access)

The advancement of mobile technology and rising consumer demands have contributed to the unprecedented growth of online platforms. In online platforms, recommender systems connect with multistakeholders who have different interests. Designing recommender systems to balance the benefit of multistakeholders is important for these platforms. In addition, price is an important factor influencing consumers’ purchase decisions. An increasing number of online platforms introduce multiple sales channels. Optimizing multiple-channel prices is vital for these platforms. Thus, this thesis designs multistakeholder recommender systems and multi-channel pricing strategies for online platforms through the following two works.

The first work focuses on designing multistakeholder recommender …

Raising The Green Roof: Enhancing Youth Water Literacy Through Built Environment Education, Laura B. Cole, Lilian Priscilla, Laura Zangori, Beth Kania-Gosche, Joel G. Burken

Teacher Education and Certification Faculty Research & Creative Works

Green Roofs Cool Cities, Clean the Air, Provide Habitat, and Manage Stormwater. They Are Compelling Tools to Teach Interconnected Human-Ecological Systems. This Study Included the Design, Pilot, and Evaluation of a Fourth-Grade Science Unit Entitled "Raising the Green Roof", Exploring These Connections. Five Classrooms in Two Midwestern U.S. Public Elementary Schools Participated, and 4th-Grade Students (N = 73) Drew Systems Models at Three Time Points (212 Models) and Wrote their Ideas. Qualitative Content Analyses of the Models Showed that Learners Were Increasingly Combining Social Systems (Green Roof Infrastructure) with Ecological Systems (Water Cycle) Across the Unit. Students Also Increasingly Evidenced …

The Second-Order Features Adjoint Sensitivity Analysis Methodology For Response-Coupled Forward/Adjoint Linear Systems (2nd-Fasam-L): Mathematical Framework And Illustrative Application To An Energy System, Dan Gabriel Cacuci

Faculty Publications

The Second-Order Features Adjoint Sensitivity Analysis Methodology for Response-Coupled Forward/Adjoint Linear Systems (abbreviated as “2nd-FASAM-L”), presented in this work, enables the most efficient computation of exactly obtained mathematical expressions of first- and second-order sensitivities of a generic system response with respect to the functions (“features”) of model parameters. Subsequently, the first- and second-order sensitivities with respect to the model’s uncertain parameters, boundaries, and internal interfaces are obtained analytically and exactly, without needing large-scale computations. Within the 2nd-FASAM-L methodology, the number of large-scale computations is proportional to the number of model features (defined as functions of model parameters), as opposed to …

Mechanical Properties And Microstructure Of Multi-Materials Fabricated Through A Combination Of Lpbf And Ded Additive Manufacturing Techniques, Christopher J. Bettencourt

All Graduate Theses and Dissertations, Fall 2023 to Present

This research explores the use of different metals combined through 3D-printing to enhance the performance of materials, with a focus on making heat exchangers more cost-effective for renewable energy. The goal is to replace a costly high-temperature alloy with a more affordable low-temperature alloy, using metal additive manufacturing for its benefits such as less material waste, faster production, reduced weight, and the ability to print entire assemblies in one go. The study delves into a unique combination of two 3D-printing techniques, Directed Energy Deposition and Laser Powder-Bed Fusion, to create a multi-material composed of stainless steel 316L and a nickel-based …

Advancing Near Surface Soil Moisture Measurements Using Robotics, Automation, And Remote Sensing, Hemanth Narayan Dakshinamurthy

All Graduate Theses and Dissertations, Fall 2023 to Present

Near-surface soil moisture, or the water content within the soil, is important for understanding the interactions between land and the atmosphere, and for monitoring plants in agricultural settings. However, soil moisture can be highly variable within the same field and varies considerably with time. The challenge involved with measuring soil moisture is that traditional techniques that rely on obtaining large samples are labor and time-intensive, especially for large fields. Developments in sensor technologies have allowed users to record the soil moisture regularly at the points where the sensors are installed. However, to understand how soil moisture changes across a field …

Water Data Science: Data Driven Techniques, Training, And Tools For Improved Management Of High Frequency Water Resources Data, Amber Spackman Jones

All Graduate Theses and Dissertations, Fall 2023 to Present

Electronic sensors can measure water and climate conditions at high frequency and generate large quantities of observed data. This work addresses data management challenges associated with the volume and complexity of high frequency water data. We developed techniques for automatically reviewing data, created materials for training water data managers, and explored existing and emerging technologies for sensor data management.

Data collected by sensors often include errors due to sensor failure or environmental conditions that need to be removed, labeled, or corrected before the data can be used for analysis. Manual review and correction of these data can be tedious and …

Understanding Timing Error Characteristics From Overclocked Systolic Multiply-Accumulate Arrays In Fpgas, Andrew S. Chamberlin

All Graduate Theses and Dissertations, Fall 2023 to Present

Artificial Intelligence (AI) is one of the biggest fields of research for computer hardware right now. Hardware accelerators are chips (such as graphics cards) that are purpose built to be the best at a specific type of operation. AI hardware accelerators are a growing field of research. Part of hardware in general is a digital clock that controls the pace at which computations occur. If this clock runs too quickly, the hardware won't have enough time to finish its computation. We call that a timing error. This paper focuses on studying the characteristics of timing errors in a small custom …

Development, Modeling, Identification, And Control Of Tilt-Rotor Evtol Aircraft, Clayton T. Spencer

All Graduate Theses and Dissertations, Fall 2023 to Present

This thesis includes the development, modeling, identification, and control of an electric-Vertical-Take-Off-and-Landing (eVTOL) aircraft with tiltable rotors. The front two rotors have tilting capability for transition flight from vertical-take-off to forward-level flight. This work details the development of an eVTOL aircraft and the selection of sub components such as electric motors, batteries, and controllers. After the aircraft build, mathematical model is derived to describe the motion of the aircraft. Unknown parameters in the mathematical model are identified using a Least-Squares-regression (LSR) method that can handle parameter constraints. This is done using real flight data collected from the aircraft. Lastly, this …

Design And Implementation Of An Accelerated Lifetime Testing Platform For Silicon Carbide Mosfets, Conner Deppe

All Graduate Theses and Dissertations, Fall 2023 to Present

In the last several years, the United States has seen a significant increase in sales of electric vehicles. The increase of electric vehicles brings the need for increased availability of public charging stations. In the last two years, satisfaction levels for public chargers have fallen significantly due to unreliability, which is raising concerns for new potential electric vehicle owners. To mitigate the reliability concerns, chargers must be physically understood so they can be consistently monitored to assess their health status. To understand the electric vehicle charging reliability, electrical components must first be understood. In the cutting-edge charging technology, the relatively …