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A Low-Cost Micro Actuator Driven By Electrowetting-On-Dielectric, Behzad Parsi
A Low-Cost Micro Actuator Driven By Electrowetting-On-Dielectric, Behzad Parsi
Theses and Dissertations
Microfluidic techniques have been shown to address limitations of reconfigurable radio frequency (RF) antennas and filters in efficiency, power handling capability, cost, and frequency tuning. However, the current devices suffer from significant integration challenges associated with packaging, actuation, and control. Recent advances in reconfigurable microfluidics that utilize the motion of a selectively metalized plate (SMP) for RF tuning have demonstrated promising RF capabilities but have exposed a need for an accurate fluid actuation model. This research presents models for the dynamics of plate actuation under multiple scenarios. In the first phase, the mechanical motion of a moving plate (e.g. SMP) …
Heavy Ion Testing Of Versal Acap Ai Engines, Caleb S. Price
Heavy Ion Testing Of Versal Acap Ai Engines, Caleb S. Price
Theses and Dissertations
With recent developments in artificial intelligence (AI), there has been an ever increasing need for computation power in space. These AI models are traditionally implemented on GPUs. However, these units come at a high cost in terms of weight and power usage. Due to these limitations, many organizations are turning to the Versal ACAP device, a system on chip (SOC) with hundreds of AI engines. This option delivers more computation per watt than a traditional GPU. The desire to use Versal ACAP in space has created a need to perform radiation testing on the device. Extensive testing has been performed …
Gnss-Denied Navigation Using Lte Signals Of Opportunity On Low-Cost, Low-Swap Hardware, Tyler Sweat
Gnss-Denied Navigation Using Lte Signals Of Opportunity On Low-Cost, Low-Swap Hardware, Tyler Sweat
Theses and Dissertations
Global navigation satellite system (GNSS) navigation is crucial in the operation of unmanned aerial vehicles (UAV). GNSS signals are susceptible to jamming, spoofing, multipath, and urban canyons and may provide incorrect position information or may not be available at all. For autonomous missions, a backup for GNSS is desirable in the event that it is unavailable. Terrestrial cellular signals are a promising option for navigation because they are continuously transmitted at higher power levels. Optimizing hardware size, weight, and power (SWaP) is critical for UAVs to maximize endurance, payload capacity, and operational efficiency. We present a system that uses long-term …
The Role Of Almonds In Exercise Recovery And Athletic Performance, Kathryn M. Trochman
The Role Of Almonds In Exercise Recovery And Athletic Performance, Kathryn M. Trochman
Theses and Dissertations
Objectives: During exercise, many trained athletes and physically active adults experience symptoms of exercise-induced muscle damage (EIMD). The effects of EIMD can cause limitations in athletic performance and increased duration of exercise recovery. Nutritional interventions have shown results in improving the duration of recovery. However, there are few studies completed on common food items. This review aims to examine the role of almonds in exercise recovery and athletic performance. Methods: A literature search was conducted utilizing Google Scholar, PubMed, CINAHL Ultimate, and reference hand searching. The search parameters included the dietary intervention of almonds for trained athletes and physically active …
Measuring The Effects Of The Leaves On Stalk Strength And Dynamic Response In Maize, Grant C. Ogilvie
Measuring The Effects Of The Leaves On Stalk Strength And Dynamic Response In Maize, Grant C. Ogilvie
Theses and Dissertations
Maize is one of the most widely cultivated grains in the world, making it crucial to world food security and important economically. One major problem in maize production is stalk lodging (greensnap), which results in billions of dollars in lost harvests annually for maize farmers in the US alone. Understanding the mechanical properties of maize plants is crucial to addressing this problem. Previous studies have suggested that the leaf blades and leaf sheaths affect maize mechanical properties. The objectives of this thesis are twofold: to present measurement techniques for the stalk bending strength, damping ratio, and natural frequency of maize …
A Novel Wrench Decomposition And Development Of A Large-Scale Soft Robot For Displacement-Based Human-Robot Collaborative Manipulation, Dallin Cordon
A Novel Wrench Decomposition And Development Of A Large-Scale Soft Robot For Displacement-Based Human-Robot Collaborative Manipulation, Dallin Cordon
Theses and Dissertations
This work represents an examination of various facets of physical human-robot collaborative manipulation and the implementation of compliant, soft-robotic manipulators. A survey of physical human-human interaction and haptic communication is presented, alongside an investigation into the decomposition of force and torque components that enable effective human-robot collaboration. To address the inconsistent terminology found in previous literature, a standardized framework for force decomposition is proposed. A new taxonomy is introduced to categorize the force components involved in collaborative manipulation tasks. This taxonomy clarifies the role of each component in an agent's applied force during task execution and provides a structured framework …
Testing And Modeling Of Nonlinearities In Riveted And Bolted Structures, Joshua E. Blackham
Testing And Modeling Of Nonlinearities In Riveted And Bolted Structures, Joshua E. Blackham
Theses and Dissertations
Joints are difficult to model because of various small-scale and nonlinear features, such as local geometry, preload, friction and contact. These features cause a local change in stiffness and energy dissipation which result in changes in the effective natural frequency and damping of the whole structure. Past studies have found good success using nonlinear Iwan elements as whole joint models for bolted joints in a few different structures. In Chapter 3, a similar approach is proposed for modeling riveted joints, which seeks to capture the vibrational response of a test structure including changes in the effective modal frequency and damping …
Wind Collapse Risk And Serviceability Drift Of Steel Concentrically Braced Frame Buildings, Sarah Corrinne Partington Cluff
Wind Collapse Risk And Serviceability Drift Of Steel Concentrically Braced Frame Buildings, Sarah Corrinne Partington Cluff
Theses and Dissertations
Seismic design provisions use the ductility and reserve strength of the lateral structural system to reduce the loads used in design, making the structural design more economical while maintaining life safety. In contrast, current wind design provisions do not. Conventional wind design relies primarily on elastic behavior. The objective of this study is to determine a wind response modification factor for steel concentrically braced frames that could be applied to reduce wind design loads based on ductility and reserve strength, while still meeting drift requirements for serviceability of the structure. To achieve the objective, three types of ductile braced frames …
Steps Towards Effective Human-Robot Co-Manipulation Through Real-Time Modus Detection And Effects Of Stiffness Variation For Human-Soft-Robot Dyads, Shaden Moss
Theses and Dissertations
A group of individuals can coordinate very easily to carry a large or heavy object together. This act of collaborative carrying is called co-manipulation. Unlike human teammates, robots cannot easily detect and respond to the intent of human partners during co-manipulation tasks. This shortcoming can be compensated for via the physical design and the software design of robots. This work treats software design with a neural net that detects human modus (or the manner in which a team moves an object together) in real time. This work treats physical design with the use of a soft robot in human-robot co-manipulation, …
Improving Devices To Measure The Thermal Conductivity Of Molten Halide Salts, Ryan J. Ruth
Improving Devices To Measure The Thermal Conductivity Of Molten Halide Salts, Ryan J. Ruth
Theses and Dissertations
Molten salts are of high interest for use in nuclear reactors, though their thermophysical properties are notoriously hard to measure due to the extreme conditions created by them. Significant gaps remain in thermal conductivity and heat capacity data, which this work seeks to fill by improving the Needle Probe-a modified transient hot wire probe originally used by Merritt et al to measure the thermal conductivity of FLiNaK- measuring two new salts, and exploring new materials for use with molten salts. Improvements made to the Needle Probe include automation to reduce human error, more accurate heat generation modeling, a more thorough …
Strength And Ductility Of Rod-Braced Diaphragms In Metal Building Systems Subjected To Earthquake Ground Motions, James Niedens
Strength And Ductility Of Rod-Braced Diaphragms In Metal Building Systems Subjected To Earthquake Ground Motions, James Niedens
Theses and Dissertations
Metal building systems are a common form of construction but the behavior of roof diaphragms in metal buildings that are subjected to earthquake ground motions is not entirely understood. In this study, the strength and ductility of rod-braced diaphragms with hillside washer connections or rod-pad connections was determined using experimental tests and computer simulation. Tensile tests of rods were used to determine the effect of the type of rod on strength and ductility. Two types of rods were tested, full-body rods with cut threads at each end of the rod and bracing rods with rolled threads. Three rod sizes (5/8 …
Integrating Temperature-Dependent Tissue Properties Into Hifu Computational Models For Enhanced Treatment Planning, Christian Kevin Valencia Narva
Integrating Temperature-Dependent Tissue Properties Into Hifu Computational Models For Enhanced Treatment Planning, Christian Kevin Valencia Narva
Theses and Dissertations
Objective: High-intensity focused ultrasound (HIFU) is a non-invasive therapy that ablates diseased tissues with high precision. Computational simulations using the Pennes Bioheat Transfer Equation (PBTE) can guide HIFU treatment by predicting temperature distributions and thermal dose volumes. Traditional simulations assume constant thermal and acoustic properties, which may oversimplify tissue behavior. Methods: This study evaluates the impact of integrating temperature-dependent thermal properties (thermal conductivity, specific heat capacity, and perfusion) in finite-difference time-domain HIFU simulations. Three scenarios were simulated: (1) a homogeneous liver with both high- and low-power sonications, (2) a rabbit thigh muscle validated against preclinical MRTI data, and (3) an …
Development Of A Qualitative Spot Assay For Zinc Detection In Fortified Cereal Grain Matrices, Ashley L. Lamborn
Development Of A Qualitative Spot Assay For Zinc Detection In Fortified Cereal Grain Matrices, Ashley L. Lamborn
Theses and Dissertations
The present thesis is a compilation of a literature review, journal manuscript, and two standard operating procedures (SOP) on the qualitative determination of zinc in fortified cereal grain products and matrices. The literature review addresses the premise of the research as well as potential solutions for the development of a rapid qualitative spot assay for zinc determination. Quality assurance assays affirm the presence of micronutrients in food fortification initiatives, but no rapid qualitative spot methods for the assessment of zinc currently exist. Chromogenic reagents that may perform a key role in the rapid determination of zinc are identified. The journal …
Development And Evaluation Of Canbench: A Testbed For Assessing The Security Of Automotive Can Buses, Trevor S. Mcclellan
Development And Evaluation Of Canbench: A Testbed For Assessing The Security Of Automotive Can Buses, Trevor S. Mcclellan
Theses and Dissertations
Modern vehicles rely heavily on electronic control units (ECUs) that communicate via the controller area network (CAN) bus, a protocol developed in the 1980s with minimal security considerations. The growing number of ECUs has heightened the risk of cyberattacks on vehicles. Although CAN bus security has been extensively researched, the CAN standard still lacks built-in security measures. Furthermore, testing proposed security mechanisms is challenging due to the proprietary nature of automotive systems. To address this, an open-source physical testbed was developed using inexpensive, off-the-shelf components to support automotive CAN bus security research. The testbed provides a controlled environment for simulating …
Analysis Of Nitrogen Accumulation And Gene Expression In Hydroponically-Grown Chenopodium Genotypes, Teal Kalt
Analysis Of Nitrogen Accumulation And Gene Expression In Hydroponically-Grown Chenopodium Genotypes, Teal Kalt
Theses and Dissertations
Nitrogen (N) is an essential macronutrient required by all plants to complete their life cycles. Inefficient N uptake contributes to over fertilization and subsequent environmental and sustainability issues resulting in the need for improved nitrogen use efficiency (NUE). Chenopodium quinoa is a resilient pseudocereal crop that is relatively adapted to N-deficient soils. Previous studies have uncovered the unique genetic structure of quinoa and its physiological responses to N availability; however, gaps remain in understanding its molecular mechanisms for NUE. This study investigates four quinoa genotypes (Real-1, 0654, KU-2, and QQ74) hydroponically grown in N-deficient conditions. RNA sequencing (RNA-seq) analysis identified …
Aesthetics In Instructional Design, Dennis M. West
Aesthetics In Instructional Design, Dennis M. West
Theses and Dissertations
This multi-article dissertation examines how aesthetics enhances instructional design to foster engaging, transformative learning experiences. Despite its potential, aesthetics is often granted a secondary status in design practice, being seen as less important than functionality. The first article explores philosopher Monroe Beardsley's five aesthetic criteria--object-directedness, felt freedom, detached affect, active discovery, and wholeness--through a theoretical literature review, proposing their application to elevate learner engagement and interest. The second article, a qualitative investigation, analyzed the Cybermatics Playable Case Study (PCS; a cybersecurity simulation) from the perspective of Beardsley's aesthetic criteria. This investigation involved four students and two designers interviewed hermeneutically over …
Analysis Of Radial Inlet Distortion On Transonic Fan Performance, Tyler M. Reedy
Analysis Of Radial Inlet Distortion On Transonic Fan Performance, Tyler M. Reedy
Theses and Dissertations
Improving fan design and performance prediction requires an understanding of the impacts of inlet distortions. Inlet distortion describes any non-uniform distribution in the flow, usually referring to deviations in pressure and temperature. Using full annulus Unsteady Reynolds-Averaged Navier Stokes (URANS) simulations, the effects of both hub and tip radial distortions on the Air Force Research Lab (AFRL) Rotor 4 fan are analyzed. Overall performance, total pressure (Pt) distortion transfer, and total temperature (Tt) distortion generation are presented and compared for three operating points: near-stall, design, and choke. Hub radial inlet distortion magnitudes of 15% and 20%, and a tip radial …
Data Quality And Enterprise Architecture: An Analysis Of The Awareness And Knowledge Of Data Quality Artifacts, Principles, Practices, And Application In Enterprise Architecture, Jason Alan Minton
Theses and Dissertations
Enterprise Architecture (EA) is a discipline, approach, and practice that aims to align the enterprise’s technical infrastructure, strategy, processes, and technology investments with the organization’s strategy to fulfill the mission and vision. Data quality is conformance to data specifications (Talburt, 2015, p. 192), and low data quality has significant implications for decisions and outcomes across the enterprise. Scant literature and research exist surrounding the intersection, integration, and impact of data quality within EA practices. This research examines the awareness and understanding of Enterprise Architect and Technology Architect populations regarding data quality concepts, artifacts, and tools. The research aims to answer …
Using Human Computation And Harmonic Expansions For Characterization And Design Of Grain Boundary Networks, Christopher W. Adair
Using Human Computation And Harmonic Expansions For Characterization And Design Of Grain Boundary Networks, Christopher W. Adair
Theses and Dissertations
Grain Boundary Networks (GBNs) are a high-dimensional feature in polycrystalline microstructural materials that are formed from the crystallographic degrees of freedom. This feature affects multiple material properties such as diffusivity, fracture, elasticity, heat transfer, and others. The link between the crystallography and the material properties is called the structure-property linkage, and allows for simulation and design of materials. While it is possible to use the structure-property linkage to design materials for better performance, the high-dimensional nature of the interconnected grain boundaries preclude the use of many common optimization algorithms for efficiency or local minima considerations. This work shows how the …
An Analysis Of The Encryption Algorithms Proposed For The Mqtt Protocol On Resource Constrained Iot Devices, John Joseph Keenan
An Analysis Of The Encryption Algorithms Proposed For The Mqtt Protocol On Resource Constrained Iot Devices, John Joseph Keenan
Theses and Dissertations
As more IoT devices are used to gather data and automate devices throughout the world, more security solutions are needed to keep these devices and the data they transmit secure. Many of these devices use the MQTT protocol, which does not encrypt the transferred data by default. The TLS/SSL protocols are the standard proposed solution for encrypting this traffic, but many resource constrained IoT devices do not have enough resources to run these protocols efficiently. Because of this, many other encryption algorithms have been proposed or designed for resource constrained IoT devices running the MQTT protocol, but very limited research …
The Development Of Electroanalytical Methods For Molten Salt Mixtures Under Static And Flowing Conditions, Ranon Fuller
The Development Of Electroanalytical Methods For Molten Salt Mixtures Under Static And Flowing Conditions, Ranon Fuller
Theses and Dissertations
Electroanalytical methods have the potential to characterize molten salt systems in situ, determine physical properties such as diffusion coefficients and standard potentials, and measure kinetic and corrosion rates. Due to experimental difficulties of working with molten salts including high temperatures and high natural convection, transport, kinetic, and corrosion rates, many precise, consistent methods have yet to be established. In this work, we describe methods to precisely calculate standard reduction potentials, characterize molten salt solutions containing multiple lanthanides by reduction potentials and metal deposition mechanisms, calculate the number of electrons exchanged in metal deposition using SWV, calculate diffusion coefficients using CV, …
Investigating The Effects Of Sex And Estrous Cycle On The Incubation Of Cue-Induced Oxycodone Craving, Bhumiben Pradipkumar Patel
Investigating The Effects Of Sex And Estrous Cycle On The Incubation Of Cue-Induced Oxycodone Craving, Bhumiben Pradipkumar Patel
Theses and Dissertations
The overprescription and misuse of opioids like oxycodone has played a significant role in the ongoing opioid crisis. While effective painkillers, drugs like oxycodone are also reinforcing and often misused. While sex and ovarian hormones can impact the analgesic effects of these drugs, the impact of these factors on oxycodone reinforcement are not fully understood. This relationship between ovarian hormones and opioid reward is further complicated by the fact that opioid use can disrupt ovarian hormone levels and produce reproductive cycle irregularities. Using a rat model of drug craving and relapse vulnerability, we found that chronic oxycodone exposure produced reproductive …
Reconstruction From Variable Aperture Measurements Using Band-Limited Inversion Algorithms, Harrison C. Garrett
Reconstruction From Variable Aperture Measurements Using Band-Limited Inversion Algorithms, Harrison C. Garrett
Theses and Dissertations
The signal reconstruction process from discrete samples is inherently band-limited due to the limited amount of spectral content in the discrete set of measurements. In the case of 1D sampling using ideal measurements, the maximum bandwidth of regular and irregular sampling is well known using Nyquist and Gröchenig sampling theorems and lemmas, respectively. However, determining the appropriate reconstruction bandwidth becomes difficult when considering 2D sampling geometries, samples with variable apertures, or signal to noise ratio limitations. Instead of determining the maximum bandwidth a priori, this thesis introduces the use of a bandlimited inverse to simultaneously reconstruct a signal and determine …
Empowering Local Water Resources Managers With Global Hydrological Model Information Through Bias Correction Of Their In-Situ Data Using Saber, Yubin Baaniya
Theses and Dissertations
There is an increase in the frequency and intensity of water related natural disasters driven by climate change and human activities. While satellite data provides extensive coverage of many climatic variables, streamflow monitoring remains inadequate for effectively responding to water-related hazards, particularly in developing regions that lack integrated gauge networks. This study evaluates how incorporating local streamflow gauge data enhances bias correction of the GEOGLOWS Hydrologic Model (RFS) in gauged and ungauged basins using the Stream Analysis for Bias Estimation and Reduction (SABER) method. We analyzed approximately 19,200 gauge stations globally, using machine learning, spatial analysis and Flow Duration Curve …
Hybrid Machine Learning And Comparison Error Minimization For Frequency Domain-Based Rapid State Estimation In Structures Subjected To High-Rate Boundary Change, James Scheppegrell
Hybrid Machine Learning And Comparison Error Minimization For Frequency Domain-Based Rapid State Estimation In Structures Subjected To High-Rate Boundary Change, James Scheppegrell
Theses and Dissertations
Dynamic forces and evolving structural boundary conditions pose challenges for various structural systems such as aircraft, orbital infrastructure, and energy harvesting devices. The design, evaluation, and functionality, of such systems can be aided through the collection and analysis of data. However, real-time decision-making for systems experiencing high-rate changes can pose unique challenges, if assessments are to be made accurately and rapidly enough to be relevant. In cases where the systems are well-defined and thoroughly understood, monitoring the frequency response can be instrumental in determining the state of structures subjected to high-rate structural boundary condition changes. This study focuses on investigating …
Investigation Of Shear Modulus And Material Damping Of A Lightly Cemented Silty Sand Representing Offshore Soil, Joshua Jeanjaquet
Investigation Of Shear Modulus And Material Damping Of A Lightly Cemented Silty Sand Representing Offshore Soil, Joshua Jeanjaquet
Theses and Dissertations
Offshore structures remain highly relevant, making the dynamic characterization of offshore soils critical. Since many offshore soils are cemented, understanding their response to dynamic loads is essential for developing accurate models that improve the reliability and cost-effectiveness of offshore structure designs. This study examines the impact of cement content on shear modulus, shear modulus reduction, shear wave velocity, and material damping of lightly cemented fine silty sand. A series of Resonant Column and Torsional Shear tests were conducted. The results were analyzed and compared to existing literature. The modified hyperbolic model was proposed to characterize the shear modulus and damping …
Neural Network-Based Low-Level 3d Point Cloud Processing, Pingping Cai
Neural Network-Based Low-Level 3d Point Cloud Processing, Pingping Cai
Theses and Dissertations
3D computer vision is a promising research field with the potential to revolutionize future lifestyles. Among various 3D representation formats, point clouds stand out for their efficiency in depicting 3D objects using a set of coordinates, enabling advancements in fields such as autonomous driving, virtual reality, and robotics. Due to the limitations of sensor fields of view and scanning trajectories, the collected point clouds are usually sparse, noisy, and incomplete, impeding the performance of many downstream applications. Thus, the tasks of low-level point cloud processing are proposed to refine and generate dense, clean, and complete point clouds. To accomplish these …
Investigating The Influence Of Volumetric Water Content In The Upper Layer Of Soil On Embankment Factor Of Safety, Kiera Rose Hughes
Investigating The Influence Of Volumetric Water Content In The Upper Layer Of Soil On Embankment Factor Of Safety, Kiera Rose Hughes
Theses and Dissertations
Geohazards, including landslides and embankment failures, pose significant risks to railway infrastructure, necessitating early recognition methods for effective risk mitigation. This research explores the relationship between the volumetric water content in the upper soil layer and the embankment's factor of safety (FOS) to improve early detection and stability assessment. A parametric analysis was conducted to evaluate how variations in the soil type (shear strength and hydraulic conductivity), slope geometry (angle and height) and recharge conditions (rainfall intensity and duration) affect the FOS. Using the GeoStudio software, seepage and slope stability analyses were performed for two baseline soils, as well as …
Augmenting Deep Learning For Efficient Nextg Wireless Communication And Sensing Systems, Hem Kanta Regmi
Augmenting Deep Learning For Efficient Nextg Wireless Communication And Sensing Systems, Hem Kanta Regmi
Theses and Dissertations
Wireless networks have become an integral aspect of our daily lives. Over the years, earlier generations of wireless networks have enabled some innovative applications, such as wireless gaming, fast internet browsing, and home automation, which were previously unattainable. However, to support emerging technologies like autonomous driving, virtual reality, telemedicine, and intelligent manufacturing, which require high data throughput and low latency, there is a need for advanced wireless networks. Legacy networks like WiFi/LTE, which operate below 6 GHz, have limited bandwidth and are insufficient to fulfill the high data throughput demands of several applications. Millimeter-wave (mmWave) networks, operating between 30 GHz …
The Double Bar-Line: A Qualitative And Quantitative Study Of Career Readiness For Historically Black College And University Voice Performance Majors, Brian L. Fenderson
The Double Bar-Line: A Qualitative And Quantitative Study Of Career Readiness For Historically Black College And University Voice Performance Majors, Brian L. Fenderson
Theses and Dissertations
Historically Black Colleges and Universities (HBCUs) play a crucial role in providing higher education opportunities for African American students, including those pursuing degrees in voice performance. In recent years, there has been a noticeable lack of performance opportunities and resources available to voice performance majors at HBCUs. This document aims to explore the challenges faced by HBCU voice performance majors who hoped to pursue a career in voice performance. Through a combination of literature review, qualitative interviews, and quantitative surveys, this study will examine the experience of voice performance majors from 1990 – present day. Interviews conducted will speak on …