Open Access. Powered by Scholars. Published by Universities.®
- Discipline
-
- Engineering (11509)
- Social and Behavioral Sciences (8858)
- Physical Sciences and Mathematics (8754)
- Education (7965)
- Arts and Humanities (6810)
-
- Life Sciences (4980)
- Medicine and Health Sciences (4194)
- Psychology (3507)
- Computer Sciences (2733)
- Business (2719)
- Electrical and Computer Engineering (2204)
- Aerospace Engineering (1772)
- Mechanical Engineering (1702)
- Chemistry (1402)
- Civil and Environmental Engineering (1334)
- Sociology (1331)
- Operations Research, Systems Engineering and Industrial Engineering (1286)
- Physics (1143)
- Communication (1010)
- History (1004)
- Religion (959)
- Higher Education (953)
- Art and Design (948)
- Educational Administration and Supervision (903)
- Educational Leadership (885)
- Biology (868)
- Curriculum and Instruction (832)
- Earth Sciences (826)
- Architecture (803)
- Mormon Studies (787)
- Institution
-
- University of North Dakota (13256)
- Brigham Young University (11126)
- Air Force Institute of Technology (8055)
- Virginia Commonwealth University (7661)
- Mississippi State University (6341)
-
- University of South Carolina (6087)
- Rowan University (3480)
- American University in Cairo (2693)
- University for Business and Technology in Kosovo (2537)
- University of Texas Rio Grande Valley (1846)
- Illinois State University (1786)
- Pepperdine University (1685)
- Florida Institute of Technology (1633)
- City University of New York (CUNY) (1518)
- University of Arkansas Little Rock (1333)
- St. John's University (1105)
- Columbus State University (753)
- Nova Southeastern University (710)
- SASTRA Deemed to be University (228)
- Texas A&M International University (217)
- Seattle Pacific University (14)
- UAlaska System (7)
- CentraCare Health (6)
- Southern Methodist University (4)
- Michigan Technological University (3)
- Utah State University (3)
- Alabama State University (2)
- University of Arkansas, Fayetteville (2)
- Louisiana Tech University (1)
- Keyword
-
- Education (718)
- North Dakota (547)
- United States (459)
- Leadership (407)
- Dissertations (EdD) -- Organizational leadership (382)
-
- Utah (363)
- History (356)
- Machine learning (354)
- #antcenter (348)
- Gender (325)
- Women (277)
- Painting (267)
- Egypt (233)
- Autism (232)
- Depression (230)
- Dissertations (PsyD) -- Psychology (228)
- Art (227)
- Higher education (215)
- Motivation (211)
- Technology (208)
- Optimization (207)
- Mental health (205)
- Cancer (200)
- Identity (196)
- Children (195)
- Memory (193)
- Self-efficacy (187)
- Mormon Church (185)
- Professional development (184)
- Performance (180)
- Publication Year
- File Type
Articles 3241 - 3270 of 74092
Full-Text Articles in Entire DC Network
Performing Requirements Specification And Analysis Through Open Generative Pre-Trained Transformers, Harvey J. Hurst
Performing Requirements Specification And Analysis Through Open Generative Pre-Trained Transformers, Harvey J. Hurst
Theses and Dissertations
Every acquisition program begins with a requirement, and for those programs to succeed, robust requirements engineering (RE) must be implemented. RE encompasses eliciting, analyzing, specifying, and validating requirements—a critical process throughout a program's lifecycle. Despite its importance, RE faces challenges such as scope creep, ambiguity, redundancy, and inadequate automation support, often exacerbated by reliance on historical data. To address these issues, this thesis leverages advancements in Generative Technology, particularly large language models (LLMs) such as Generative Pre-Trained Transformers (GPTs). This research developed two GPT-based tools: the Single Requirement Analysis Tool and the Set of Requirements Analysis Tool. These tools were …
Early-Phase Cost Estimation For Department Of Defense Construction Projects Via Artificial Neural Networks: Implications And Policy Recommendations For Artificial Intelligence Integration, Kobe T. Thompson
Theses and Dissertations
The Department of Defense lost over 500 million dollars between 2016 and 2024, partially due to poor early cost estimates resulting in cost overruns. practice for cost estimation relied on parametric techniques that incorporate historical data, subject matter experts in cost estimating, and predictive software applications. The main motivation for this study was to assess the viability of artificial neural networks as a means of providing a more accurate cost estimate in the early design phases of a construction project. The dataset initially contained approximately 48,000 data points from a database of various Air Force projects, including maintenance, repair, minor …
Proof Of Concept: Using Uas Technology To Accomplish Aerial Roof Inspections, Madison R. Fanning
Proof Of Concept: Using Uas Technology To Accomplish Aerial Roof Inspections, Madison R. Fanning
Theses and Dissertations
With the growing use of simulation across industries, the digital twin remains an underexplored research area, particularly in emergency management and response. Its real-time updating capability is often overlooked due to the misconception that "digital twin" is merely a complex term for simulation. This paper highlights its distinctiveness through an evasion exercise involving two independent entities in a collocated environment. Using a highly integrated virtual environment (HIVE) and internet of things (IoT) devices, we link the physical system with an analytical simulation, demonstrating the impact of lag times in high-pressure scenarios. The computational model leverages agent-based modeling (ABM) and discrete-event …
Material Classification With Spectropolarimetric Lidar, Alexander J. Watson
Material Classification With Spectropolarimetric Lidar, Alexander J. Watson
Theses and Dissertations
A method for characterizing unknown targets using a hyperspectral polarimetric light detection and ranging (LiDAR) system is presented. Light reflected from manmade objects tends to be more polarized than light reflected from objects in the natural world. As such, polarization measurements can be used in remote sensing applications to differentiate artificial and natural objects. Previous works have attempted to characterize objects through passive polarimetric imagery. Methods developed by Cain and Lemaster and Cunningham facilitate reconstruction of the Stokes Vector from returning light. Martin used multispectral polarimetry to classify targets when the angle of incidence (AOI) is close to 0º. Here, …
Model-Based Approach To Support Safety Driven Design And Satisfy Mil-Std-882e Requirements With Stpa Coordination: A Case History In Suas Defense Acquisition, Daniel A. Shea
Theses and Dissertations
Increasingly complex defense systems that are routinely overbudget and behind schedule are driving digital engineering initiatives in the defense acquisition industry. MBSE offers a solution to counter this issue but the lack of guidance on how to implement it has led to significant experimentation. One MBSE area of interest is system safety. This research demonstrates how to conduct model-based Systems Theoretic Process Analysis (STPA) to meet the unique system safety process requirements from MIL-STD882E. Based in systems theory, STPA extended for coordination enables a safety-driven design process of complex systems. This research investigated conducting STPA in the SysML-RAAML modeling language …
Symbology Detection And Numerical Recognition For T-38 Heads-Up Display Recordings, Ben T. Hepner
Symbology Detection And Numerical Recognition For T-38 Heads-Up Display Recordings, Ben T. Hepner
Theses and Dissertations
The extraction of symbology and numerical data from the T-38 Heads-Up Display (HUD) enhances post-flight analysis and supports real-time decision-making. This research develops a deep learning pipeline using YOLO-based object detection and Optical Character Recognition (OCR) to analyze HUD video data. Model evaluations showed mAP0.5:0.95 ranging from 0.422 (YOLOv11m, hard test set) to 0.696 (YOLOv8m, medium test set), demonstrating robust symbology detection. Numeric detection performed well (mAP0.5:0.95 = 0.764), but OCR struggled with glare and resolution limitations, achieving a recognition accuracy of 17.35%. These results validate deep learning for HUD data extraction but highlight the need for improved robustness …
Proximal Policy Optimization Applied To The Beyond Visual Range Air Combat Maneuvering Problem, Daniel B. Joseph
Proximal Policy Optimization Applied To The Beyond Visual Range Air Combat Maneuvering Problem, Daniel B. Joseph
Theses and Dissertations
Artificial intelligence (AI) grows ever-more important in warfighting. Emerging technologies allow for the use of AI to control aircraft and weapons systems. This research investigates the application of reinforcement learning (RL) through the Proximal Policy Optimization (PPO) algorithm to a two-versus-two (2v2) beyond-visual-range (BVR) air combat maneuvering problem (ACMP). Implemented in the Advanced Framework for Simulation, Integration, and Modeling (AFSIM), the methodology frames the engagement as a Markov decision process, wherein an autonomous RL agent learns continuous control decisions—throttle, pitch, roll, and yaw—under a cooperative communication scheme. A multi-phase curriculum-learning approach facilitates the progressive acquisition of flight stability, weapon deployment, …
Machine Learning Techniques To Predict Solar Particle Events And Radiation Of Aircrew, Haley Traub
Machine Learning Techniques To Predict Solar Particle Events And Radiation Of Aircrew, Haley Traub
Theses and Dissertations
Solar Particle Events (SPEs) are high-energy phenomena from the Sun that pose risks to technology, human health, and Air Force operations. Accurate prediction of SPEs exceeding 100 MeV is crucial for mitigating these risks. This thesis explores using Bayesian statistical models to predict such events, integrating prior knowledge from solar physics with the ability to update predictions based on new data. The research uses a dataset spanning three solar cycles (21–23) and incorporates attributes like flare fluence, peak flux, latitude, longitude, and class. Four Bayesian models (PyMC, Bnlearn, and two Dredge models) were compared to machine learning models. The Bayesian …
Learning To Dogfight: Proximal Policy Optimization Vs. Double Deep Q Network For 2v2 Air Combat With Directed Energy Weapons In Afsim, Caden W. Wilson
Learning To Dogfight: Proximal Policy Optimization Vs. Double Deep Q Network For 2v2 Air Combat With Directed Energy Weapons In Afsim, Caden W. Wilson
Theses and Dissertations
This research utilizes reinforcement learning (RL) to train two blue agents each imbued with a directed energy weapon (DEW) in a 2v2 within visual range air combat maneuvering problem. A phased solution approach is employed to repeatedly tune and train several RL algorithm implementations: Proximal Policy Optimization (PPO) and Double Deep Q Network (DDQN). Phase I of training includes reward shaping for basic flight elements such as altitude, airspeed, and target proximity. Phase II of training builds off policies developed in Phase I, but rewards emphasize winning the aerial engagement by any means necessary. DDQN significantly outperforms PPO in Phase …
Safety-Driven Concept Development Using System Theoretic Process Analysis Extended For Coordination In A Model Based Environment: A Case Study On Autonomous Satellite Teaming, Taylor L. Matarazzo
Safety-Driven Concept Development Using System Theoretic Process Analysis Extended For Coordination In A Model Based Environment: A Case Study On Autonomous Satellite Teaming, Taylor L. Matarazzo
Theses and Dissertations
Rigorous system safety analysis methods, allow programs to identify potential problems helping to minimize their impact to program schedules and budgets. In the contested, congested, and competitive space environment, coordination within and between systems is critical to mission success. System Theoretic Process Analysis extended for Coordination (STPA-coord) can prescriptively analyze these coordination interactions. STPA-coord shifts the conversation of system safety from elements ofreliability to elements of control, providing insights that holistically analyze the system. As studies suggest, decisions made early in a systems design determine 80-86% of a programs final cost, therefore integrating system safety as early into design can …
Weighed And Measured: Toward An Evaluation Method For Digital Models In Source Selection, Liam N. O'Neill
Weighed And Measured: Toward An Evaluation Method For Digital Models In Source Selection, Liam N. O'Neill
Theses and Dissertations
Inspired by a recent model-based source selection conducted by the Advanced Range Threat System (ARTS) Program Office at Hill AFB, this research effort explored the development of new tools the DoD could use when evaluating models submitted with proposals. Specifically, the effort aimed to incorporate the Multi-Objective Decisions Analysis (MODA) framework into SysML diagrams as a solution for technical evaluations on models submitted with offeror proposals, eventually producing the Model-Based Decision Tool (MBDT). The MBDT is built from a Value Hierarchy based on key system requirements, each weighted by priority and measured by their own Single-Dimensional Value Functions (SDVFs). By …
An Analysis Of Supervisor Job Satisfaction During Telework In The Covid-19 Pandemic, Corey L. Rucker
An Analysis Of Supervisor Job Satisfaction During Telework In The Covid-19 Pandemic, Corey L. Rucker
Theses and Dissertations
The COVID-19 pandemic significantly reshaped workplace practices, accelerating the adoption of telework. This study examines the job satisfaction of supervisors in telework environments, focusing on qualitative analysis of survey responses from 41 supervisors in the Department of Defense (DoD). Through thematic analysis, the research identifies key factors influencing supervisor satisfaction. These themes include flexibility, communication challenges, resource gaps, and the unique stressors of managing remote teams. Findings reveal that while telework offers benefits such as improved work-life balance and productivity, it also presents challenges like reduced team cohesion, blurred work-home boundaries, and difficulties in performance management. Grounded in Herzberg’s Two-Factor …
Correlating Aerosol Morphology And Optical Properties With Image Blur: An Investigation Of Aerosol-Induced Image Degradation, Patricia A. Byrd
Correlating Aerosol Morphology And Optical Properties With Image Blur: An Investigation Of Aerosol-Induced Image Degradation, Patricia A. Byrd
Theses and Dissertations
Small-angle scattering by relatively large cloud/fog droplets and ice crystals is known to degrade imagery. However, it is not well investigated how much of an impact aerosols, especially the prevalent anthropogenic fine/ultra-fine/coarse particles, have in image degradation. This thesis explores the contribution of aerosols to image blur but focuses on collecting field data with a relatively large variety of ambient aerosol characterization and optical instrumentation. Field experiments were conducted over six days, correlating aerosol measurements (particle counters and nephelometer) with image quality from a visible camera along a 450m path. Image blur was quantified using the Modulation Transfer Function (MTF), …
Design, Simulation, And Characterization Of A Deuterated Plastic Scintillator For A Portable Neutron Spectrometer, Anders M. Kinney Ii
Design, Simulation, And Characterization Of A Deuterated Plastic Scintillator For A Portable Neutron Spectrometer, Anders M. Kinney Ii
Theses and Dissertations
This thesis examines the design, simulation, and experimental characterization of a novel deuterated plastic scintillator for portable neutron spectroscopy applications related to homeland security and nuclear non-proliferation. Using Monte Carlo N-Particle (MCNP) simulations and experimental tests with gamma-ray (137Cs) and neutron sources (AmBe, 252Cf), this research shows that deuterium substitution in scintillators significantly enhances pulse shape discrimination (PSD) and neutron energy spectrum unfolding capabilities. Although deuterated scintillators demonstrate reduced overall light output, their higher stopping power and increased ionization quenching lead to superior neutron event differentiation, particularly between (α, n) and spontaneous fission neutrons critical for detecting …
Isotopic Analysis Of Lithium Hydroxide Monohydrate Using Laser-Induced Breakdown Self-Reversal Isotopic Spectrometry (Libris) And Machine Learning, Madison R. Moran
Isotopic Analysis Of Lithium Hydroxide Monohydrate Using Laser-Induced Breakdown Self-Reversal Isotopic Spectrometry (Libris) And Machine Learning, Madison R. Moran
Theses and Dissertations
High-resolution Laser-Induced Breakdown Self-Reversal Isotopic Spectrometry (LIBRIS) is implemented to record the 15.8 pm Li I 670.8 nm isotopic shift in LiOH · H2O samples of varying 6, 7Li abundance. A simple univariate linear regression demonstrates an acquired isotopic shift of 13.813 ± 1.21 pm in samples varying from 3 to 95 6Li at%. Supervised machine learning regressions are trained on self-reversal wavelength locations in order to quantify 6Li abundance. A stacked ensemble using two base learners yields the superlative characterization of 6Li abundance with RMSE of 5.66 at% and detection limit of 18.8 at%. Using …
Best Estimate Reconstruction Of The Control Profile For A Maneuvering Reentry Vehicle, Justin R. Evans
Best Estimate Reconstruction Of The Control Profile For A Maneuvering Reentry Vehicle, Justin R. Evans
Theses and Dissertations
Astrodynamic reentry is an increasingly important flight regime as countries around the world develop new spacecraft and weapons. A design of interest is that of hypersonic glide vehicles with the ability to maneuver in the atmosphere. As these vehicles become more common across the world, it has become advantageous to track foreign reentry tests in order to determine capabilities. While current observation techniques may allow position and velocity to be tracked across the trajectory, orientation of the vehicle is not always observable. The ability to find vehicle orientation across time gives insight into the performance characteristics of the vehicle. This …
Extension Of The Circular Restricted N-Body Problem (Crnbp) To Varying Multi-Body Gravitational Systems, Annika J. Gilliam
Extension Of The Circular Restricted N-Body Problem (Crnbp) To Varying Multi-Body Gravitational Systems, Annika J. Gilliam
Theses and Dissertations
Multi-body dynamical models are a valuable tool used to examine certain aspects of spacecraft orbital mechanics by applying assumptions to restrict the problem. The Circular Restricted Three-Body Problem (CR3BP), one of these dynamical models, has been examined extensively in the last few decades; however, this model is not sufficient in the case of more than two massive celestial bodies gravitationally affecting a spacecraft. A novel model called the Circular Restricted N-Body Problem (CRNBP) is studied in this research as an alternative to the traditional CR3BP where necessary. A variety of systems are examined in this thesis, including the Jovian, Saturnian, …
Approximating Three-Body Trajectories With A Knot Theory Inspired Model For Orbit Generation And Determination, Mason R. Mill
Approximating Three-Body Trajectories With A Knot Theory Inspired Model For Orbit Generation And Determination, Mason R. Mill
Theses and Dissertations
This thesis explores a novel approach to approximating three-body trajectories using a knot theory-inspired model for orbit generation and determination. Traditional methods for solving the Circular Restricted Three-Body Problem (CR3BP) rely on numerical integration and correction schemes to generate trajectories, often requiring iterative refinements. This research investigates the application of knot theory principles—such as torus knots, Alexander polynomials, and Reidemeister moves—to categorize and model complex orbital trajectories in the CR3BP. By leveraging these mathematical tools, the study aims to enhance trajectory prediction, orbit determination, and mission planning for spacecraft operating in the cislunar environment. The results demonstrate that knot theory …
Analyzing And Mapping Hypersonic Cruise Vehicle Maneuvers, Kyle T. Monsma
Analyzing And Mapping Hypersonic Cruise Vehicle Maneuvers, Kyle T. Monsma
Theses and Dissertations
This thesis develops a computational framework for analyzing the stability, control, and maneuverability of hypersonic cruise vehicles using surrogate modeling and trajectory propagation techniques. A polynomial ridge regression approach is implemented to create a continuous aerodynamic model from discrete force-moment data, enabling rapid stability and control assessments across Mach and altitude ranges. Vinh’s equations of motion are utilized to account for Earth’s curvature and gravitational effects, refining trajectory analysis for maneuver feasibility studies. Energy maneuverability diagrams, turn rate charts, and short-period stability metrics are generated to visualize flight performance constraints and dynamic stability characteristics. The results highlight the impact of …
Investigation Of The Convective Heat Transfer Driving Potential For Hypersonic Flows, Roderick A. Mills
Investigation Of The Convective Heat Transfer Driving Potential For Hypersonic Flows, Roderick A. Mills
Theses and Dissertations
Accurately determining adiabatic wall temperature is critical for characterizing surface heating in hypersonic flows. The differences between adiabatic wall temperature and stagnation temperature for Mach 6 flow are examined. A two-dimensional explicit finite difference scheme was developed to analyze heat transfer within an angled wedge and to assess the applicability of the classical semi-infinite solid solution to the Fourier Heat Equation for estimating adiabatic wall temperature and convective heat transfer coefficients. Experimental surface temperature data were extracted from infrared thermography obtained during Mach 6 wind tunnel tests, and the semi-infinite solid solution was applied to estimate the adiabatic wall temperature. …
Thin-Filament Pyrometry In A Rotating Detonation Engine, Theodore B. Guetig
Thin-Filament Pyrometry In A Rotating Detonation Engine, Theodore B. Guetig
Theses and Dissertations
Rotating Detonation Engine (RDE) proves beneficial by creating a pressure rise across the combustor rather than a pressure drop seen in traditional aircraft combustors. Coupled with this high pressure is a high temperature in the detonation engine that is difficult to measure as it varies spatially and temporally. Thin-Filament Pyrometry (TFP) was performed on a 6-in RDE to measure these high temperatures. Temperature profiles were obtained over a variety of mass flows, equivalence ratios, and different axial locations within the RDE providing insight into the mixing process and where the heat release occurs. Successful determination of these temperature profiles within …
Design And Evaluation Of A Deployment Mechanism For A Space-Based Origami Mirror In Cubesat Missions, Arturo Luna
Design And Evaluation Of A Deployment Mechanism For A Space-Based Origami Mirror In Cubesat Missions, Arturo Luna
Theses and Dissertations
The space environment’s suboptimal lighting conditions and eclipse periods impede inspection and on-orbit servicing missions. To abate this problem, the Air Force Institute of Technology (AFIT) launched the Mirror Illumination for Reconnaissance and Rendezvous of Orbital Resident Systems (MIRRORS) initiative. This initiative provides augmented illumination to resident space objects (RSOs) by reflecting the sun’s rays from a mirror satellite. Leveraging origami-inspired designs for compact packaging, AFIT developed a cube origami flasher mirror constructed from aluminum panels that unfolds passively via Nitinol hinges. This research investigates the necessary deployment and panning mechanisms for a dynamic, space-based origami mirror to advance the …
An Analytical Approach In Solving A Two-On-One Pursuit Evasion Differential Game With Fast Evader And No-Point Capture, Nathan T. Morrow
An Analytical Approach In Solving A Two-On-One Pursuit Evasion Differential Game With Fast Evader And No-Point Capture, Nathan T. Morrow
Theses and Dissertations
This paper is concerned with a co-planar pursuit-evasion scenario where two Pursuers (P) are after an Evader (E). The players are holonomic/can turn on a dime and their speeds, VP and VE, are constant, but the evader is faster than the pursuers, that is, the speed ratio parameter μ = VE/VP > 1. The Pursuers are endowed with a circular capture disc whose radius l > 0. A differential game (DG) with three states and one parameter is addressed through geometric and analytical methods where a partial solution is outlined and visualized. The game is split …
Analyzing Lf/Vlf Lightning Waveforms To Estimate D-Region Electron Density Profiles: Process, Application, And Comparison, William R. Smith
Analyzing Lf/Vlf Lightning Waveforms To Estimate D-Region Electron Density Profiles: Process, Application, And Comparison, William R. Smith
Theses and Dissertations
Lightning waveforms in the low frequency (LF; 30-300 kHz) and the very low frequency (VLF; 3-30 kHz) can be exploited to produce data-driven ionospheric Dregion electron density profile (EDP) estimates with significantly higher spatial and temporal coverage than previously available. The lightning waveforms used in this paper are signals detected in the LF/VLF of negative cloud-to-ground lightning by the Earth Networks Total Lightning Detection Network. Each waveform contains a ground wave and a time-delayed ionospheric reflection. The time delay between the ground wave and ionospheric reflection has previously been used to estimate a single specular reflection altitude, where LF/VLF emissions …
Personal Decontamination Of Copper Oxide Powder As A Radiological Surrogate On Ambulatory Patients In Arctic Environments: Assessing Residual Airborne Risks After Air Shower Or Vacuum Decontamination Of A Manikin, Quinn G. Pelichoff
Theses and Dissertations
This study assessed air-based decontamination methods for treating patients exposed to dry radiological contamination while minimizing reaerosolization during disrobing, particularly in extreme cold environments. A full-size manikin, simulating an able-bodied Airman, was dressed in military-issue extreme cold weather gear and coated with 28 grams of Copper Oxide. The manikin underwent one of three treatments: HEPA vacuuming, a mobile personal air shower, or no treatment (control). After treatment, researchers removed the uniform and used optical particle counters to measure airborne dust concentrations that could pose risks during disrobing. Each method was tested ten times (30 trials total). Statistical analyses (ANOVA, Tukey’s …
What Counselors Say Matters For Supporting High School Newcomer Multilingual Learners As They Work Toward Graduation, Sonia Lucrecia Molina Openshaw
What Counselors Say Matters For Supporting High School Newcomer Multilingual Learners As They Work Toward Graduation, Sonia Lucrecia Molina Openshaw
Theses and Dissertations
This thesis explores how high school (HS) counselors describe their work with newcomer multilingual learners (MLs). Using the lens of Yosso’s (2005) Community Cultural Wealth (CCW) framework to identify asset perspectives in their work with these students. They suggest specific supports and barriers impacting these students' academic and social success in school. Findings reveal that counselors often focus on addressing the immediate needs of HS newcomer MLs, such as language acquisition and academic readiness, but less frequently recognize the cultural, linguistic, and social assets students bring to their educational journey. Counselors highlight the importance of systemic supports, including onboarding processes, …
Post-Irradiation Fault Injection For Complex Fpga Designs, Nathan G. Baker
Post-Irradiation Fault Injection For Complex Fpga Designs, Nathan G. Baker
Theses and Dissertations
Fault injection is a common technique for estimating the impact of single-event upsets (SEUs) within the configuration memory (CRAM) of an FPGA design. Fault injection is typically conducted prior to a radiation test to evaluate the effectiveness of SEU mitigation techniques, estimate the FPGA design's behavior at the radiation test, and prepare the radiation test infrastructure. This thesis explores how fault injection can be used after radiation testing to reveal additional insight into an FPGA's behavior during a radiation test. A unique methodology, referred to as post-irradiation fault injection (PIRFI), was developed in which the locations and timestamps of CRAM …
Arabizi (Franco) In Egypt: A Study Of Features, Reasons, Attitudes, And Educational Influence Among Youth In Online Communication, Muhammad Wafa
Arabizi (Franco) In Egypt: A Study Of Features, Reasons, Attitudes, And Educational Influence Among Youth In Online Communication, Muhammad Wafa
Theses and Dissertations
This study explores the phenomenon of Arabizi (Franco) as it is employed by Egyptian youth in online communication, focusing on the sociolinguistic factors that influence language choice, particularly educational background. Through a mixed-methods approach, including quantitative analysis of an online questionnaire using inferential statistics and qualitative examination of text samples, this study investigates the most common language varieties used by Egyptian youth, the underlying reasons for Arabizi's adoption, attitudes towards its usage, and the salient features of this variety of online communication. The findings reveal that Arabizi is widely used among Egyptian youth from all educational backgrounds. It is especially …
A Qualitative Study To Determine Teacher Self-Efficacy In Active Shooter Incidents In One Catholic Secondary School, Albert Spiegel
A Qualitative Study To Determine Teacher Self-Efficacy In Active Shooter Incidents In One Catholic Secondary School, Albert Spiegel
Theses and Dissertations
Active shooter incidents in K-12 schools pose a significant threat to schools throughout the country. Presently, there is a gap in the existing literature regarding the readiness of Catholic secondary school teachers for active shooter scenarios, particularly in terms of assessing their self-efficacy levels for such incidents. The purpose of this qualitative descriptive embedded case study was to determine Catholic secondary school teachers’ sources of self-efficacy in responding to active shooter incidents and to explore how those sources of self-efficacy contributed to teachers’ active shooter preparedness. The aim of this study was to explore the sources of teachers' self-efficacy in …
A Multi-Model And Multi-Agency Approach To Expand The Flood Inundation Mapping Capacity Of The Us National Water Center, Samuel Jay Oldham
A Multi-Model And Multi-Agency Approach To Expand The Flood Inundation Mapping Capacity Of The Us National Water Center, Samuel Jay Oldham
Theses and Dissertations
The most accurate numerical model for simulating flood extents of rivers has long been a subject of debate. While specialized models exist for specific hydraulic features, we advocate for the principle that the best model is the one the user is familiar with, has adequate data to support input requirements and limitations, and will consistently employ. To support this approach, we have developed a database schema optimized to store riverine flood inundation model output files. This schema is designed to assist U.S. cities, counties, states, and other flood management agencies in leveraging their existing model-generated flood maps, regardless of the …