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An Overview Of Global Navigation Satellite System Reflectometry In Coastal Wetlands, Luke Andrew Redwine
An Overview Of Global Navigation Satellite System Reflectometry In Coastal Wetlands, Luke Andrew Redwine
Theses and Dissertations
With rising global temperatures, increasing sea levels, and the accelerated erosion of coastal wetlands, efficient methods for monitoring this vulnerable ecosystem are crucial. Traditional approaches, such as manual surveys, are labor-intensive, hazardous, and invasive to the environment they are attempting to protect, while current remote sensing methods are cost prohibitive and rely on irregular data collection techniques. To address these challenges, a scalable solution is needed for reliable and frequent data collection. This study explores the use of GNSS Reflectometry (GNSS-R) combined with unmanned aerial vehicles (UAVs) to monitor the shifting topology in wetlands with minimal human invasion. By leveraging …
Raad-Llm: Adaptive Anomaly Detection Using Llms And Rag Integration, Alicia Russell-Gilbert
Raad-Llm: Adaptive Anomaly Detection Using Llms And Rag Integration, Alicia Russell-Gilbert
Theses and Dissertations
Anomaly detection in complex industrial environments poses unique challenges, particularly in contexts characterized by data sparsity and evolving operational conditions. Predictive maintenance (PdM) in such settings demands methodologies that are adaptive, transferable, and capable of integrating domain-specific knowledge. This work presents RAAD-LLM, a novel framework for adaptive anomaly detection, leveraging large language models (LLMs) integrated with Retrieval-Augmented Generation (RAG). This approach addresses the aforementioned PdM challenges. By effectively utilizing domain-specific knowledge, RAAD-LLM enhances the detection of anomalies in time-series data without requiring fine-tuning on specific datasets. The framework's adaptability mechanism enables it to adjust its understanding of normal operating conditions …
Application Of Pu Learning In Detection Of Ddos Attacks, Gagana Sathya Narayana Prasad
Application Of Pu Learning In Detection Of Ddos Attacks, Gagana Sathya Narayana Prasad
Theses and Dissertations
The gcore radar 2024 says, the number of DDoS attacks has been increased by 46% in 12 months. Supervised and unsupervised techniques struggle detecting DDoS attacks due to the scarcity of labeled attack samples and an overwhelming presence of benign traffic. In contrast PU- Learning offers a promising solutions by dividing the data into positive and unlabeled data. This study explores the effectiveness of PU-learning in detecting DDoS attacks by comparing it with unsupervised methods. This method employs PU Bagging, Two Step method and auto-encoder based models to extract meaningful patters from network traffic data, utilizing CICDDoS2017 dataset for evaluation. …
Costs And Challenges In The Mississippi Log Trucking Industry, James Tucker Shannon
Costs And Challenges In The Mississippi Log Trucking Industry, James Tucker Shannon
Theses and Dissertations
Challenges impacting Mississippi log trucking businesses include escalating production costs, labor shortages, aging ownership, and rising liability insurance premiums. These concerns are transmitted back to loggers, landowners, and the entire forest products industry, reducing their contributions to the state’s economy. Lack of current knowledge concerning the adaptation of Mississippi log trucking companies under adverse business conditions necessitated a statewide mixed-mode survey to determine the industry’s structure, the nature of liability insurance premiums, and business owner perceptions about driver hiring and profitability. Mississippi log trucking business owners and drivers were predominantly middle-aged, with fewer individuals under the age of 40. Log …
Evaluating Rainfall Sensitivity Over Land To Tropical Cyclone Parameters Using Idealized Wrf, Madison C. Yawn
Evaluating Rainfall Sensitivity Over Land To Tropical Cyclone Parameters Using Idealized Wrf, Madison C. Yawn
Theses and Dissertations
Tropical cyclones (TCs) are extreme weather events impacting the United States nearly every year. These events often cause severe damage due to the associated responses they produce including storm surge and rainfall, and the accurate estimation of these TC hazards is necessary to support coastal engineering, risk assessment, and emergency management activities. Evaluating TC-driven hazards is often done in combination with numerical models to simulate how environmental interactions alter the physical processes and responses of these storms. The purpose of this study was to simulate synthetic TC events using the Advanced Weather Research and Forecasting (WRF) model to understand how …
Lateral Control Of Autonomous Vehicle Using Deep Cnn And Ampc, Iffat Ara Ebu
Lateral Control Of Autonomous Vehicle Using Deep Cnn And Ampc, Iffat Ara Ebu
Theses and Dissertations
Autonomous functionalities are pivotal for the advancement of Advanced Driver Assistance Systems (ADAS), driving towards collision-free and environmentally sustainable transportation. This thesis presents two distinct studies addressing critical aspects of autonomous vehicle control: lane centering via deep learning and lateral vehicle control using model predictive control. The first study explores end-to-end learning f or autonomous s teering command generation, focusing on lane centering. A convolutional neural network (CNN) model, inspired by NVIDIA’s PilotNet, is employed to directly map raw camera pixel inputs to steering commands, eliminating the need for intermediate feature engineering. The model is trained and validated using datasets …
Unraveling Exoplanetary Signatures From Stellar Activity: A Journey Beyond The Known In Rv Mass Measurements Of K Dwarf Planets, Claire Susanne Geneser
Unraveling Exoplanetary Signatures From Stellar Activity: A Journey Beyond The Known In Rv Mass Measurements Of K Dwarf Planets, Claire Susanne Geneser
Theses and Dissertations
A precise radial velocity (RV) monitoring campaign was conducted for two Targets of Interest (TOI), TOI-2443 b and TOI-139 b, identified by the Transiting Exoplanet Survey Satellite (TESS) as exoplanet candidates orbiting K dwarf stars. Preliminary estimates of the transmission spectroscopy metric (TSM) indicate that the transiting planets are promising targets for atmospheric follow-up. I perform a multi-planet RV analysis of the TOI-2443 system, combining infrared and optical RV data. The model robustly recovers the signal of TOI-2443 b, an eccentric warm sub-Neptune, with a semi-amplitude of 2.54 ± 0.24 m/s, corresponding to a mass of 7.11 ± 0.67 ��⊕ …
Atmospheric Turbulence Education Effects On Flight Anxiety, Megan A. Hanna
Atmospheric Turbulence Education Effects On Flight Anxiety, Megan A. Hanna
Theses and Dissertations
This study examines the effect of turbulence education on flight anxiety. A pre-post methodology measured students’ anxiety levels before and after a study abroad flight, using an educational video during the pre-flight survey to change their feelings. The Flight Anxiety Situations (FAS) questionnaire assessed anxiety at three survey points: pre-video, post-video, and post-flight. Qualitative analysis using Friedman’s test and the Wilcoxon Signed-rank test, indicated that turbulence education effectively decreased generalized and anticipatory flight anxiety, particularly in non-phobic students. Text analysis of open-ended responses suggested increased scientific knowledge post-video helped students apply technical atmospheric processes to their feelings. Turbulence education was …
Interactions Between Different Deformation Mechanisms In Magnesium, Ethan T. Holder
Interactions Between Different Deformation Mechanisms In Magnesium, Ethan T. Holder
Theses and Dissertations
Magnesium is a strong and lightweight material with the potential to be used for weight reduction in various industries. However, manufacturing magnesium parts is difficult because magnesium is brittle at room temperature. Understanding the underlying deformation mechanisms in magnesium is critical to improving its ductility. In this work a Rapid Artificial Neural Network (RANN) potential was used to perform a Molecular Dynamics (MD) simulation in Large-scale Atomic/Molecular Massively Parallel Simulator (LAMMPS) to study twin formation and growth as well as interactions between different twin modes in a magnesium bicrystal. This work offers insight into the mechanisms of plastic deformation in …
Investigating Structure-Property Relationships Of Bio-Inspired Gel, Mohammad Moinul Hossain
Investigating Structure-Property Relationships Of Bio-Inspired Gel, Mohammad Moinul Hossain
Theses and Dissertations
High-modulus, stretchable, and resilient hydrogels possess a wide array of promising applications across multiple fields, such as the development of sophisticated prosthetic devices, artificial skin, electronic devices, and soft robotics. Elastomeric biopolymers, like resilin, show high stretchability and resilience, facilitating power-amplified movement in various species essential for feeding and defense mechanisms. To mimic the properties of resilin, we developed a hydrogel system of hydrophobic and hydrophilic components. These gels are synthesized by free radical polymerization of acrylic acid (AAc), methacrylamide (MAM), n-tert-beutylacrylamide (BAM) or n-isopropylacrylamide (NIPAM), and poly (propylene glycol) diacrylate (PPGDA). This research aims to compare the large-strain mechanical …
Wildfire Hydrologic Impacts, Kathleen E. Inman
Wildfire Hydrologic Impacts, Kathleen E. Inman
Theses and Dissertations
Wildfires are essential processes for certain ecosystems but are increasing in severity and occurrence. These increases are negatively changing hydrology. Anticipating the hydrologic changes is necessary for management of effected watersheds, infrastructure, and downstream users. This study hypothesized land cover changes post-fire would increase water temperature and discharge in burned watersheds located in the Willamette Basin. This study (1) evaluated the change in estimated curve numbers (CN) from land cover pre-fire and post-fire to assess expected runoff impacts in watersheds, and (2) identified the significance of actual water temperature and discharge changes using non-parametric statistical analysis. An unburned watershed and …
Semantic Segmentation Via Transfer Learning For Off-Road Data, Haley Breann Honigfort
Semantic Segmentation Via Transfer Learning For Off-Road Data, Haley Breann Honigfort
Theses and Dissertations
In autonomous driving, utilizing deep learning models to help make decisions has become a popular theme, particularly in the realm of computer vision. Deep learning models are heavily influenced to make decisions based on the environments in which they are trained. Currently, very few datasets exist for off-road autonomy that include visual semantic segmentation labels. Traditional semantic segmentation requires hand-labeling large imagery datasets or using synthetically generated imagery to train a model. This study aims to apply transfer learning techniques to automatically label a new off-road dataset. That objective will be accomplished in two phases: first, by utilizing pre-existing labels …
A Systematic Literature Review Of The Implementation Of High-Quality Instructional Materials (Hqims) In K-12 Education, Melanie Jackson
A Systematic Literature Review Of The Implementation Of High-Quality Instructional Materials (Hqims) In K-12 Education, Melanie Jackson
Theses and Dissertations
The implementation of High-Quality Instructional Materials (HQIMs) in K–12 education is essential for promoting equitable and effective learning outcomes. Additionally, HQIMs ensure that students are engaged with grade-level material, which is critical for achieving mastery of grade-level standards, thereby fostering deeper understanding and academic success across all student populations. However, challenges such as misalignment with curriculum standards, insufficient professional development, limited teacher buy-in, and resource disparities continue to hinder successful implementation. This study aims to examine these barriers and identify evidence-based strategies to support effective HQIMs implementation. Specifically, this research seeks to answer the question: "What are the key factors …
Finite Element Analysis Of Hydroxyapatite (Ha) Coated Porous We43 Magnesium Scaffolds For Simulating Long-Time In Vitro Degradation Using A Continuum Damage Model, Dam Kim
Theses and Dissertations
While magnesium and its alloys are viable biodegradable implant candidates for its similarity of Young’s modulus with human bone and its strong biocompatibility, a pure magnesium scaffold degrades too rapidly to be used in many orthopedic implications. Overcoming this high degradation rate has been one of the biggest technical challenges for Mg-based biomedical applications. This research focuses on validating a finite element analysis framework using a continuum damage model and its application to simulate the degradation process of non-coated additively manufactured WE43 and HA-coated WE43 magnesium scaffolds. This work includes determining model input parameters by matching in vitro experiment results …
Apatite Entrapment Of Iodine For Nuclear Waste Disposal Applications, William E. Laird
Apatite Entrapment Of Iodine For Nuclear Waste Disposal Applications, William E. Laird
Theses and Dissertations
The purpose of this thesis is to provide baseline knowledge of iodine incorporation into calcium phosphate minerals, specifically apatite. Iodine-129 is a fission product in Spent Nuclear Fuel (SNF) that can administer significant amounts of radiation in small quantities. Apatite (Ca10(PO4)6 (OH, F, Cl)) has been studied for the use of radionuclide confinement. Experimental design was set up to mimic temperatures expected in geologic repositories from 40 to 250℃. Experiments are broken into 2 groups based on iodine species being examined. The first group focuses on iodate (IO3-) which is prevalent under oxidized conditions, and the second handles iodide (I-) …
Research Advancement Of Guayule Resin As A Natural Wood Preservative, Abigael Nasimiyu Laisa
Research Advancement Of Guayule Resin As A Natural Wood Preservative, Abigael Nasimiyu Laisa
Theses and Dissertations
Increasing concerns about human health and the environment have led to raised demand for eco-friendly wood preservatives. Guayule resin, extracted from Parthenium argentatum plant contains insecticidal and antifungal compounds making it a promising natural wood preservative. This study evaluated suitable carrier system for guayule resin, as well as leaching rate and termite resistance of treated yellow poplar and southern pine specimens. Wood specimens were treated with different concentrations of guayule in acetone, toluene, and ethyl acetate using vacuum impregnation. The leaching behavior and termite resistance of the treated specimens were assessed according to the AWPA Standard E11-16 and AWPA Standard …
Cyber Security Threat Recognition And Preparedness Of Undergraduate Students, Litany Hope Lineberry
Cyber Security Threat Recognition And Preparedness Of Undergraduate Students, Litany Hope Lineberry
Theses and Dissertations
Cybersecurity awareness and preparedness are critical competencies for individuals across academic disciplines and professional sectors. However, undergraduate students often lack sufficient knowledge and skills to recognize and mitigate cybersecurity threats. This dissertation examines cybersecurity threat recognition and preparedness among undergraduate students through a three-phase research approach. Study 1 explores faculty perspectives on students' cybersecurity awareness, identifying gaps in knowledge and preparedness across various fields of study. Study 2 investigates industry professionals' perceptions of new hires’ cybersecurity readiness, assessing the alignment between academic training and industry expectations. Study 3 evaluates the effectiveness of an online intervention designed to enhance students' cybersecurity …
Asphalt Durability Improvements By Way Of Specification Advancements, Jessica V. Lewis
Asphalt Durability Improvements By Way Of Specification Advancements, Jessica V. Lewis
Theses and Dissertations
The objective of this dissertation is to provide content through which industry and agencies can adjust and/or update standards and specifications, as appropriate, to accommodate the present-day needs of the asphalt industry towards producing more durable asphalt. A total of 78 asphalt mixtures and 9 asphalt binders were evaluated for up to 10 years of field aging to provide content that was analyzed to meet this objective. A full-scale aging site in Columbus, Mississippi was the focal point of the aging experiments. A major conclusion from this work was that Cantabro Mass Loss (CML) testing of cores was able to …
Advancing Wood Chip Moisture Content Prediction Using Advanced Generative Ai Techniques, Daniel Esteban Marulanda
Advancing Wood Chip Moisture Content Prediction Using Advanced Generative Ai Techniques, Daniel Esteban Marulanda
Theses and Dissertations
In this study we propose a deep learning method to optimize the classification of wood chip moisture content levels using the Vision Transformer and then ultimately increase the classification performance by creating synthetic images using the diffusion transformer model. In the first chapter of our study, we complete a detailed explanation of how the moisture content levels of 10 different wood chips were gathered ranging from 2 to 50$\%$. This chapter serves as a foundation for subsequent sections, illustrating the challenges associated with the current data collection process, which is both time-consuming and inefficient. Accurately determining moisture content for wood …
Atomistic Modeling Of Mg And Al Systems Using Rapid Artificial Neural Network Derived Interatomic Potential, Edward Omozusi Obasuyi
Atomistic Modeling Of Mg And Al Systems Using Rapid Artificial Neural Network Derived Interatomic Potential, Edward Omozusi Obasuyi
Theses and Dissertations
Machine learning derived interatomic potentials have proven to be effective tools in simulation that mimic the accuracy of ab-initio calculations to the sub meV/atom level. They offer the advantage of computational speed operating at linear scaling with respect to the system’s size making them more efficient than classical potentials like MEAM (modified embedded atom methods). In this work, interatomic potentials are created based on the rapid artificial neural network (RANN) formalism for magnesium (Mg), Aluminum (Al) and their alloys. From previous works, the RANN formalism produces high-fidelity atomic models with accurate force fields for several metals, offering new insights into …
Machine Learning Classification Of Drones, Birds, And Bird-Like Drones Using Radar Micro-Doppler, Camera Imagery, And Radar-Camera Fusion, Kester Magalong Nucum
Machine Learning Classification Of Drones, Birds, And Bird-Like Drones Using Radar Micro-Doppler, Camera Imagery, And Radar-Camera Fusion, Kester Magalong Nucum
Theses and Dissertations
Counter-drone systems employ sensors such as radars and cameras to detect, track, and identify drones. These systems can confuse birds with drones, and the advent of bird-like drones exacerbates this problem. This thesis explores radar micro-Doppler, camera imagery, and their fusion for drone and bird classification. First, micro-Doppler models of quadcopters, birds, and bird-like drones were developed to generate a dataset of synthetic spectrograms for training support vector machine, k-nearest neighbors, Naïve Bayes, and convolutional neural network (CNN) classifiers. Second, transfer learning was applied on YOLOv10, a recently developed You Only Look Once object detector model, to detect and classify …
Large-Scale Reserve Constrained Alternating Current Optimal Power Flow Methods, Yehong Peng
Large-Scale Reserve Constrained Alternating Current Optimal Power Flow Methods, Yehong Peng
Theses and Dissertations
The Alternating Current Optimal Power Flow (ACOPF) problem seeks optimal operational planning for power systems with the lowest cost within the operational and physical constraints, ensuring higher efficiency and reliability for the power system. Meanwhile, the power reserve scheduling, which ensures an adequate backup capacity to compensate for demand and supply fluctuations, contingencies, and various unforeseen disruptions, plays a crucial role in power system reliability. As power systems become more stochastic and dynamic, the co optimization of energy and reserve becomes a significant trend among independent system operators (ISOs) and regional transmission organizations (RTOs), as it yields substantial benefit improvement …
Establishing A Baseline For Detecting Lotl Attacks In Windows Operating Systems, Ashlyn Martin Phillips
Establishing A Baseline For Detecting Lotl Attacks In Windows Operating Systems, Ashlyn Martin Phillips
Theses and Dissertations
There has been an increasing realization of the rise in living off the land (LOTL) attacks where adversaries misuse legitimate system tools, particularly with state-sponsored actors targeting critical infrastructure in the United States. These attacks are difficult to detect because they allow attackers to remain present in a system without the user’s knowledge for an extended period. This thesis establishes an initial baseline specifically for Windows operating systems to measure normal system activity, focusing on CPU usage, memory utilization, and process activity. It particularly examines the use of PowerShell alongside other applications. The findings from this baseline are used to …
Faculty Perceptions And Use Of Open Educational Resources In Postsecondary Stem Classrooms, Gabriel Posadas
Faculty Perceptions And Use Of Open Educational Resources In Postsecondary Stem Classrooms, Gabriel Posadas
Theses and Dissertations
This study examined how faculty in Science, Technology, Engineering, and Mathematics (STEM) or STEM-related fields perceive and utilize open educational resources (OER) in their classrooms and how faculty characteristics (e.g., age, teaching experience, OER experience) influence their adoption. A quantitative survey was administered to 48 STEM faculty across 8 colleges at a large, southeastern university. Findings revealed that faculty generally acknowledged OER’s benefits, particularly its cost-saving potential, and all faculty without prior OER experience and 86.5% of faculty with OER experience expressed neutral to positive perceptions regarding OER’s ability to reduce financial burdens. Faculty with OER experience also recognized its …
Design And Evaluation Of Hollow Cross-Laminated Timber With Corrugated Cores: A Structural Perspective, Suman Pradhan
Design And Evaluation Of Hollow Cross-Laminated Timber With Corrugated Cores: A Structural Perspective, Suman Pradhan
Theses and Dissertations
This study investigates the integration of small-diameter trees (SDT) into cross-laminated timber by developing cellular cross-laminated timber (CCLT) with corrugated panels in the transverse mid-layer. This innovation addresses sustainable building material demands while mitigating forest fire risks associated with SDT. The research progressed through three phases. First, parametric linear finite element modelling (FEM) examined corrugated geometry's influence on CCLT flexural stiffness. Based on these findings and manufacturing constraints, an optimal geometry was designed and fabricated. Experimental testing validated the FEM predictions and demonstrated CCLT's superior normalized modulus of elasticity by density compared to conventional cross-laminated timber (CLT). Second, using modified …
Removal Of Harmful Algal Bloom Toxin, Microcystin-Lr Via Graphene Coated Polymers, Justin Douglas Puhnaty
Removal Of Harmful Algal Bloom Toxin, Microcystin-Lr Via Graphene Coated Polymers, Justin Douglas Puhnaty
Theses and Dissertations
This study investigates a novel 3D-printed graphene-coated polymer (GCP) for the removal of Microcystin-LR (MC-LR), a harmful cyanotoxin produced during harmful algal blooms (HABs). While graphene nanoplatelets (GnPs) exhibit high adsorption capacity, their powdered form limits practical application. To address this, GnPs were coated onto 3D-printed poly(lactic acid) (PLA) substrates, enabling enhanced handling for field deployment. Surface characterization using laser confocal microscopy, Raman spectroscopy, and thermogravimetric analysis confirmed GnP distribution and coating uniformity. Batch adsorption experiments revealed pseudo-second-order kinetics, a maximum adsorption capacity (qmax) of 596 μg/g, and adsorption behavior best described by the Langmuir isotherm. Statistical analysis and comparison …
The Importance Of Community: An Investigation Of Stress, Coping, And The Value Of Social Support For First Responders, Brian Reid
Theses and Dissertations
People are designed to be in community with others, to work together and share the load and weight of life. First responders are a community that has not emphasized the importance of social support to mitigate and buffer against the stress inherent in their jobs. This study investigates the sources of stress, coping methods, and social support of first responders. Results from the first study show the impact of workplace and family stress on the first responder is impactful from the beginning. The secondary study finds that adaptive coping methods are the preferred method to cope with stress and that …
Measuring What Matters: A Policy Analysis Of Statewide Accountability Systems Through The Lens Of College And Career Readiness, Steven Deandre Shadwick
Measuring What Matters: A Policy Analysis Of Statewide Accountability Systems Through The Lens Of College And Career Readiness, Steven Deandre Shadwick
Theses and Dissertations
A disconnect exists between statewide accountability systems and college and career readiness (CCR) outcomes measured by the ACT and SAT. The goal of a statewide accountability system is to enable, implement, and support success for all students in areas that demonstrate high academic achievement through federal- and state-mandated metrics. Under the Every Student Succeeds Act (2015), states have been granted flexibility in how to measure CCR via a number of School Quality and Student Success (SQSS) indicators. Through a quantitative correlational design, data were collected from 44 states with ACT and SAT participation rates ≥ 90%, ≤ 10% or closest …
Projected Future Reservoir Impairment In The Conterminous United States Following Three Climate Change Scenarios, Darren James Shoemaker
Projected Future Reservoir Impairment In The Conterminous United States Following Three Climate Change Scenarios, Darren James Shoemaker
Theses and Dissertations
Anthropogenic climate change has been associated with reservoir aging and reduced ecosystem function. Communities throughout the world depend on reservoirs for services such as hydropower, drinking water, flood mitigation, and recreational opportunities. Though reservoirs were typically constructed to meet human needs, they are now also acknowledged as supporting biodiverse aquatic communities. Reservoir managers are expected to maintain services and biodiversity demanded by diverse users despite high uncertainty surrounding how climate will influence reservoirs through time. Additionally, data describing reservoir function at broad spatial extents are often either unavailable, incompatible between agencies, or prohibitively resource-intensive to obtain. Expert opinion surveys are …
Enhancing Profitability In The Air Transport Industry Through Improved Air Passenger Forecasting: A Comparative Analysis Of Arima, Holt-Winters And Lstm Time Series Forecasting Techniques, Megan Skowronek
Theses and Dissertations
Predicting air passenger volumes is crucial for airports and airlines seeking to reduce costs and enhance profitability. Accurate forecasting enables better planning and efficiency improvements within the air transport industry. This study applies LSTM, ARIMA and HW to U.S. air passenger datasets. Each analysis shows a methodology for predicting air passenger volumes across airports, airlines and across airports and airlines simultaneously. ARIMA was found to have limited applicability, since only a subset of the datasets was stationary. LSTM and HW were applicable to all airlines and ARIMA was applicable to no airlines. LSTM had less error compared to HW at …