Open Access. Powered by Scholars. Published by Universities.®
- Discipline
-
- Physical Sciences and Mathematics (8772)
- Engineering (5200)
- Education (2915)
- Computer Sciences (2735)
- Chemistry (1403)
-
- Electrical and Computer Engineering (1201)
- Physics (1151)
- Social and Behavioral Sciences (1140)
- Aerospace Engineering (845)
- Life Sciences (839)
- Earth Sciences (830)
- Operations Research, Systems Engineering and Industrial Engineering (773)
- Mechanical Engineering (709)
- Geology (629)
- Arts and Humanities (613)
- Statistics and Probability (568)
- Psychology (555)
- Mathematics (546)
- Environmental Sciences (515)
- Business (504)
- Medicine and Health Sciences (459)
- Civil and Environmental Engineering (440)
- Operational Research (418)
- Computer Engineering (400)
- Oceanography and Atmospheric Sciences and Meteorology (370)
- Curriculum and Instruction (360)
- Educational Leadership (349)
- Applied Mathematics (325)
- Educational Administration and Supervision (317)
- Teacher Education and Professional Development (316)
- Institution
-
- Air Force Institute of Technology (4801)
- Brigham Young University (3515)
- University of North Dakota (2683)
- University of South Carolina (1922)
- Mississippi State University (1684)
-
- Rowan University (1561)
- Virginia Commonwealth University (1537)
- Florida Institute of Technology (784)
- University of Texas Rio Grande Valley (723)
- University of Arkansas Little Rock (631)
- University for Business and Technology in Kosovo (426)
- American University in Cairo (392)
- Illinois State University (381)
- Pepperdine University (338)
- St. John's University (292)
- Columbus State University (288)
- Nova Southeastern University (165)
- City University of New York (CUNY) (158)
- SASTRA Deemed to be University (94)
- Texas A&M International University (23)
- Seattle Pacific University (3)
- Utah State University (3)
- Keyword
-
- Education (262)
- Machine learning (256)
- #antcenter (234)
- Mathematics (153)
- Optimization (138)
-
- Deep learning (107)
- Simulation (103)
- Machine Learning (100)
- Dissertations (EdD) -- Organizational leadership (95)
- Physical Sciences and Mathematics, Chemistry (84)
- STEM (83)
- Algorithms (76)
- Technology (76)
- Geology (74)
- Remote sensing (74)
- Modeling (72)
- Artificial intelligence (71)
- Professional development (71)
- Computer vision (70)
- North Dakota (70)
- Image processing (67)
- Leadership (66)
- Self-efficacy (65)
- #csra (64)
- Academic achievement (62)
- Motivation (62)
- Education, Curriculum and Instruction (61)
- Pure sciences (61)
- Decision making (60)
- Chemistry (56)
- Publication Year
- File Type
Articles 871 - 900 of 22404
Full-Text Articles in Entire DC Network
Post Secondary Teaching Toolkit: A Concise Resource To Highlight Effective Pedagogical Strategies For Post-Secondary Instructors, Matthew Thomas Blackwell
Post Secondary Teaching Toolkit: A Concise Resource To Highlight Effective Pedagogical Strategies For Post-Secondary Instructors, Matthew Thomas Blackwell
Theses and Dissertations
This project seeks to provide teaching support for post-secondary instructors, especially at the community college level, by creating an instructional toolkit that highlights a selection of evidence-based teaching strategies intended to increase student engagement, learning, and achievement. This toolkit includes evidence-based instructional strategies tailored to support post-secondary instructors of any experience level. It highlights research-proven student-centered engagement and instructional techniques such as cooperative learning, inquiry-based learning, project-based learning, problem-based learning, and student interaction in online learning environments. Within the project, the various instructional and engagement techniques are linked together using the Constructivist Learning Theory theoretical framework, highlighting the importance of …
An Investigation Into The Inclusivity, Methodology, And Education Of Severe Weather In K-12 Schools, Stephen Holden Wooten
An Investigation Into The Inclusivity, Methodology, And Education Of Severe Weather In K-12 Schools, Stephen Holden Wooten
Theses and Dissertations
Schools are a focal point in the lives of everyone in the community, especially teachers, parents, and students. Investigating the connection between these individuals and tornadoes by identifying shortcomings in education, training, and emergency procedures can induce more effective and informed decision-making for future encounters. This study evaluated the inclusivity of tornado protocols for students with disabilities, uncovered where parents prefer their child to shelter in early dismissal situations and clarified how extensively natural hazard education and tornado drills are covered in schools. Two surveys and semi-structured interviews were used to obtain responses from earth science teachers, K-12 guardians, and …
Bucket-Based Priority Queues For A* And Related Bounded-Suboptimal And Anytime Search Algorithms: Theoretical And Practical Advancements, Garrett Michael Fereday
Bucket-Based Priority Queues For A* And Related Bounded-Suboptimal And Anytime Search Algorithms: Theoretical And Practical Advancements, Garrett Michael Fereday
Theses and Dissertations
For shortest-path problems with a small number of integer transition costs, it is well-known that the performance of the classic A* algorithm can be improved by using bucketing to reduce priority queue overhead—in particular, by using a bucket queue data structure for the priority queue, instead of a binary heap. This dissertation describes several theoretical and practical extensions of this approach. First, the traditional two-level bucket queue data structure is modified in simple ways to improve the worst-case complexity of its operations, which leads to the first demonstration that the priority queue operations of a two-level bucket queue for A* …
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 …
Investigations Into Fluorescence Of Fluorene Dimers: Linker Impacts And Tuning Potential Through Substituent Addition, Abigail R. Ressler
Investigations Into Fluorescence Of Fluorene Dimers: Linker Impacts And Tuning Potential Through Substituent Addition, Abigail R. Ressler
Theses and Dissertations
Fluorene-based fluorescing conjugated polymers are being used to develop sensors that show great sensitivity and selectivity, however, important questions about the photophysics of these systems remain unanswered. For example, a fluorescence intensity difference was observed between fluorene dimers linked with either an acetylene (diFA) or phenyl (diFP). The polymers diFA and diFP have similar structures and extinction coefficients, yet diFA yielded a five times higher fluorescence intensity than diFP. In project one, Density Functional Theory (DFT) and Time-Dependent DFT (TD-DFT) were used to calculate the ground and excited states of diFA and diFP. A python code was developed to solve …
An Investigation Of Non-Persistence Of Second And Third Year Engineering Students At A Midsize Research University In The South, Kimberly Elizabeth Ball
An Investigation Of Non-Persistence Of Second And Third Year Engineering Students At A Midsize Research University In The South, Kimberly Elizabeth Ball
Theses and Dissertations
Approximately 25% of engineering students drop out during their 1st year of school, with nearly that many leaving during their second or third years. A meta-analysis of engineering non-persistence literature led to the development of an Engineering Non-persistence Model, which incorporates both quantitative and qualitative factors. While previous research primarily focused on factors of non-persistence of engineering students as a whole, this study aims to fill the gap in existing literature by examining factors within the model that contribute to non-persistence among 2nd- and 3rd-year engineering students. The goal is to provide tailored support to second and third year students …
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 …
Empowering Patients With Health Insights: Development And Utilization Of Knowledge Graphs For Comprehensive Patient Medical Journey Mapping And Analytics, Hassan Saadeddine Al Khatib
Empowering Patients With Health Insights: Development And Utilization Of Knowledge Graphs For Comprehensive Patient Medical Journey Mapping And Analytics, Hassan Saadeddine Al Khatib
Theses and Dissertations
Healthcare advancements require advanced solutions to process and understand complex patient data. This dissertation outlines a detailed framework for mapping patient journeys with knowledge graphs (KGs), which begins by analyzing existing Patient-Centric Knowledge Graphs (PCKGs) literature to identify current research gaps in the representation and analysis of patient journeys. Our research proposes solutions to these gaps through three main contributions. First, we introduce the Patient Journey Ontology (PJO), which enables systematic encoding of patient encounters, diagnoses, treatments, and outcomes into a semantic knowledge structure designed for interoperability. The construction of patient journey knowledge graphs (PJKGs) is based on this foundational …
Global Attractivity Of Positive Solutions Of Higher Order Nonlinear Difference Equations And Its Applications, Abdulaziz Almaslokh
Global Attractivity Of Positive Solutions Of Higher Order Nonlinear Difference Equations And Its Applications, Abdulaziz Almaslokh
Theses and Dissertations
Difference equations play an effective role in many mathematical models that represent some phenomena in different fields such as physics, economics, engineering and biology. From this perspective, studying and analyzing such equations are interesting issues for the advancement of scientific research. In particular, studying the asymptotic behavior of positive solutions of some population models that are a system of difference equations has become a necessity. In this dissertation, we examine the global attractivity of positive solutions of certain higher order nonlinear difference equations and apply these results to some population models.
Promoting Collaboration And Multi-Directional Reliance By Sharing Mental Model Information For Effective Multi-Agent Teaming, Audrey L. Aldridge
Promoting Collaboration And Multi-Directional Reliance By Sharing Mental Model Information For Effective Multi-Agent Teaming, Audrey L. Aldridge
Theses and Dissertations
Successful human-agent teaming requires teammates to form and maintain a shared or common understanding of several attributes regarding taskwork and teamwork. With enhanced information sharing, mental model development, and team functionality, teammates (human, autonomous) can learn to anticipate each others' behaviors, preferences, and needs as well as understand their capabilities and limitations. In designing a framework to support this type of cooperative teaming, there is a need to determine how sharing knowledge, mental models, and common understandings impacts teaming dynamics and performance. By incorporating each individual's understanding into a human-agent interface, this research enables better team coordination and performance through …
Real-Time Enhanced Tornado Warning Product Guidance Based On Tornado Debris Signature Height And Population Density, Alexander Cooke
Real-Time Enhanced Tornado Warning Product Guidance Based On Tornado Debris Signature Height And Population Density, Alexander Cooke
Theses and Dissertations
This research aims to develop an operational program for enhancing real-time tornado warning capabilities by integrating tornado debris signature (TDS) analysis with population impact assessment. The proposed Python-based tool will ingest Level II radar data to identify and analyze TDS, estimating tornado intensity based on maximum TDS height. For high-intensity tornadoes, the program will project the potential impact area using storm motion vectors and integrate this with population density data. The system will assess whether the situation meets National Weather Service criteria for enhanced warning products, providing forecasters with rapid, objective guidance for critical warning decisions. The program’s performance will …
A Framework For Modular Knowledge Composition In Network Intrusion Detection Systems, Patrick L. Day
A Framework For Modular Knowledge Composition In Network Intrusion Detection Systems, Patrick L. Day
Theses and Dissertations
Autonomic Intrusion Detection Systems (AIDS) are sophisticated software systems designed to autonomously and adaptively identify and respond to security threats and intrusions in computer networks or systems. One of the fundamental challenges in intrusion detection research lies in the limited availability and scope of publicly available datasets. The proposed research aims to address data-related gaps with autonomic and traditional intrusion detection systems by describing a comprehensive approach to investigate the impact and potential of data augmentation. The goal is to explore various data augmentation techniques, assess their effectiveness in introducing variability, and evaluate their impact on the performance of neural-based …
Optimizing Mars Terrain Segmentation With Weakly Supervised Learning: A Focus On Weighted Loss From Annotation Metadata, Malika Dutta
Optimizing Mars Terrain Segmentation With Weakly Supervised Learning: A Focus On Weighted Loss From Annotation Metadata, Malika Dutta
Theses and Dissertations
The study of planetary surfaces heavily depends upon space rovers that gather detailed images of terrain needed for analysis and navigation. Deep neural networks and other sophisticated machine learning techniques are necessary for autonomous navigation in challenging terrain. However, the inconsistent annotations by citizen scientists frequently hinder the performance of these models. This study seeks to optimize terrain segmentation to improve the autonomous capabilities of future Mars rovers by presenting a novel weakly supervised learning framework to handle noise and unreliability in datasets. Using factors like number of clicks, pixel accuracy, and annotator dependability, the method utilizes annotation metadata in …
Assessment Of Water Quality And Remediation Of Heavy Metals In A Coastal System, Christiana Fumnanya Eziashi
Assessment Of Water Quality And Remediation Of Heavy Metals In A Coastal System, Christiana Fumnanya Eziashi
Theses and Dissertations
This research focuses on a three-part study to assess water quality in a coastal system and evaluate the absorption capacity of modified biochar and algae to remediate cadmium (Cd). The first chapter introduces the hypothesis and objectives, and the second chapter provides a detailed literature review. The third chapter focuses on the first study, where surface water samples and water quality data collected from a manned boat and a novel autonomous surface vessel (ASV) in the Western Mississippi Sound (WMS) in the summer of 2021 and 2022 were analyzed and the interrelationship between the nutrient, trace metals, salinity, and chlorophyll-a …
Influence Of Horizontal Grid Spacing On Numerical Weather Prediction Simulations Of Clear Air Turbulence, Kailah Rose Gordon
Influence Of Horizontal Grid Spacing On Numerical Weather Prediction Simulations Of Clear Air Turbulence, Kailah Rose Gordon
Theses and Dissertations
The focus of this research was to analyze the influence of horizontal grid spacing on numerical simulations of kinetic and thermal forced clear air turbulence (CAT) by quantifying uncertainty using a resolution ensemble. Previous studies indicated that microscale (< 1km) spatial resolutions are necessary to resolve turbulent kinetic energy (TKE) with low uncertainty. Six case studies of moderate or greater CAT, from pilot reports, were simulated at six horizontal grid spacings including 1, 2, 4, 8, 16, and 32km using the Weather Research and Forecast (WRF) Model. Results showed that grid spacing does influence the magnitude of uncertainty; however, the relationship between the grid spacings varied with the type of CAT being simulated and the addition of the cumulus parameterization scheme for grid spacings greater than 4km. Overall, higher precision was found between convective resolutions (1-4km), indicating that microscale resolutions are not necessary to precisely simulate TKE for CAT forecasts.
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 …
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-) …
An In Depth Examination Of Educational, Family, Economic, And Personal Determinants On Academic Performance, Engagement, And Stress: A Comprehensive Study Among Engineering Students, Oumaima Larif
Theses and Dissertations
This study explores the effects of family, education, economic, and personal factors on students’ decisions to pursue engineering as a profession and their long-term impact on performance as engineering students. We adopted a mixed-method approach, collecting data through surveys administered to undergraduate and graduate engineering students at Mississippi State University. The study results revealed that family, education, economic, and personal factors profoundly influence students' decisions to study engineering. We found that parental expectations, background information, and socioeconomic status, in conjunction with cultural norms, values, gender expectations, and religious beliefs, affect students. Additionally, this study identified gaps in the existing literature …
Best Practices In Community College Adult Education: Literature Review And Synthesis, Jon H. Lightsey
Best Practices In Community College Adult Education: Literature Review And Synthesis, Jon H. Lightsey
Theses and Dissertations
This study emphasizes the importance of adult education students and the critical lack of knowledge about promoting their success on satellite campuses in rural and low socioeconomic areas. This study aims to investigate best practices in adult education at community colleges to maintain the number of students enrolled until their program or training is completed. The high School Equivalency Diploma options include the GED, HiSET, and Competency-Based High School Equivalency Option. The results indicate adult education students might be more successful if they received the support services needed, such as counseling, tutoring, time management, and goal setting. This literature review …
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 …
From Tree Rings To Streamflow: Reconstructing The Hydroclimatic History Of The Mississippi River Basin Over The Past Millennia, Brandon Mcdaniel
From Tree Rings To Streamflow: Reconstructing The Hydroclimatic History Of The Mississippi River Basin Over The Past Millennia, Brandon Mcdaniel
Theses and Dissertations
The Mississippi River Basin (MRB), the largest watershed in the United States, plays a central role in shaping regional hydroclimate. This study reconstructs streamflow variability in the MRB from the year 1200 to 2005 by applying principal component regression to streamflow data from 51 gauges and the North American Drought Atlas (NADA), a tree-ring-based reconstruction of the summer self-calibrating Palmer Drought Severity Index. Verification statistics indicated strong predictive skill across the domain. These findings provide critical insight into long-term hydroclimatic variability in the MRB and underscore the value of paleoclimate records for improving water resource assessments.
Integration Of Machine Learning Techniques With Computational Fluid Dynamics For Enhanced Backward-Facing Step Flow, Yahya Mekkaoui
Integration Of Machine Learning Techniques With Computational Fluid Dynamics For Enhanced Backward-Facing Step Flow, Yahya Mekkaoui
Theses and Dissertations
This research presents a novel integrated framework combining computational fluid dynamics (CFD) with machine learning techniques to enhance the analysis of backward-facing step flows. A high-fidelity OpenFOAM CFD simulation was developed and validated against experimental data, accurately predicting the reattachment length (��/�� ≈ 6.18) and velocity profiles throughout the domain. Machine learning models, including Random Forest, Gradient Boosting, and Support Vector Regression, were integrated through a robust data pipeline, with the ensemble approach demonstrating superior performance (RMSE of 1.18 m/s, ��2 of 0.951). Feature importance analysis revealed pressure (32%) and turbulent kinetic energy (28%) as the dominant physical parameters governing …
The Role Of Enso Diversity In Modulating Tornadic Activity In The United States, Davis Boyd Newton
The Role Of Enso Diversity In Modulating Tornadic Activity In The United States, Davis Boyd Newton
Theses and Dissertations
Tornado activity in the United States is influenced by large-scale climate patterns, especially by the El Niño-Southern Oscillation (ENSO). While prior research has explored ENSO’s impact on severe weather, the influence of ENSO flavors, Central Pacific (CP) and Eastern Pacific (EP), on tornadic activity remains understudied. Using tornado records, reanalysis data, and sea surface temperature anomalies, we assess how convective available potential energy (CAPE), wind shear, and jet stream dynamics influence tornado frequency and distribution. Results indicate that CP La Niña years had significant increases in tornado frequency, particularly across the Midwest, Central Plains, and Southeast. EP ENSO years had …
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 …
Earth Analogue Analysis Of Volcanic/Tectonic Interactions With Applications To Venusian Stresses, Michael Ortigoza
Earth Analogue Analysis Of Volcanic/Tectonic Interactions With Applications To Venusian Stresses, Michael Ortigoza
Theses and Dissertations
Venus shares many geological similarities with Earth, yet its tectonic processes and magma injection mechanisms remain poorly understood. A key question in planetary geology is how effusive volcanism persists despite the intense horizontal compression terrestrial bodies experience over time. To explore these issues, we examine the Spanish Peaks dike swarm in Colorado which serves as an ideal site for investigating magma intrusion under compressive stress conditions. Through field mapping, orientation measurements, and structural analysis, we identify a strong relationship between pre-existing joints and dike orientations, suggesting that these fractures serve as critical magma pathways in compressive regimes. Additionally, evidence of …
Ai Enabled Autonomic, Safe, And Interactive Intrusion Response System, Damodar Panigrahi
Ai Enabled Autonomic, Safe, And Interactive Intrusion Response System, Damodar Panigrahi
Theses and Dissertations
The exponential rise in internet usage has precipitated a corresponding surge in cyber threats, underscoring the urgent need for advanced cybersecurity solutions. While traditional intrusion detection systems (IDS) can identify these threats, their inability to self-recover leaves systems vulnerable. Intrusion response systems (IRS) have been developed to address this, aiming to auto- matically restore systems to their desired state post-security breach. However, current IRSs often necessitate manual intervention and may not be su!ciently robust against sophisticated threats. To overcome these limitations, we propose an AI-powered Autonomic, Safe, and Interactive Intrusion Response System called ‘Intrusion Response System Digital Assistant (IRSDA)’. IRSDA …
Enhancing Chemical Synthesis For Sustainability And Process Monitoring Utilizing Group Ten Metal Catalysis, Amanda M. Perkins
Enhancing Chemical Synthesis For Sustainability And Process Monitoring Utilizing Group Ten Metal Catalysis, Amanda M. Perkins
Theses and Dissertations
This thesis explores two sustainable methodologies by modifying established catalytic processes using group ten metal complexes from nickel and palladium. Efforts were made to provide alternatives for processes that often do not follow the principles of green chemistry. In the first project, a nickel(II) N-heterocyclic carbene complex was used to perform catalytic hydrogenation of 2-acetylpyridine under mild conditions. The complex was synthesized and characterized with techniques including mass spectrometry and 1H-NMR. Following this, the reactions were carried out to optimize conditions and yield moderate conversions. For the second project, the Suzuki-Miyaura cross coupling of 7-chlorotryptophan occurred utilizing a palladium complex …
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 …