Digital Commons Network^™

Actionable Hydrologic Data To Information With National Water Model-Based Derived Dataset, Cutting-Edge Data Services, And Agentic Ai System, Sujan Chandra Mondol

Theses and Dissertations

Hydrologic data are the cornerstone of many complex hydrologic research and operational workflows that produce useful hydrologic information for water resources decision-making, flood risk communication, and water availability implications. The National Water Model (NWM) is a valuable source of hydrologic data, particularly for its extended coverage of unmonitored streams and the large-scale continuity of hydrologic processes. Precomputed secondary datasets derived from this simulated data, such as streamflow indices, can improve operational efficiency through thresholding. Disseminating the data through modern technologies, such as application programming interfaces, is required for ready integration into applications. However, if extraction requires an intermediate service, there …

Ai Cyber First Responders: Bottleneck Analysis Of Heterogeneous Cpu–Gpu Pipelines For Security Operations Center Triage, Christine Pierce

Harrisburg University Other Works

Abstract — Modern Security Operations Centers (SOCs) must continuously process massive volumes of heterogeneous security telemetry while meeting stringent throughput, latency, and operational continuity requirements. Although transformer-based artificial intelligence has significantly improved threat detection and alert prioritization, most cybersecurity research evaluates model accuracy rather than the end-to-end behavior of AI-enabled operational pipelines. Consequently, relatively little is known about how heterogeneous CPU–GPU coordination, scheduling overhead, memory movement, and synchronization collectively influence operational SOC performance. This paper presents the AI Cyber First Responder, a heterogeneous SOC triage architecture that integrates GPU-accelerated transformer inference with CPU-based doctrine-driven reasoning to investigate end-to-end pipeline behavior …

Project 337, Kaushal Meda, Tuhin Misra, Pranav Rathi, Vraj Patel, Diivyaang Desa, Sameera Patki, Vaidehi Saini, Roy Su

Discovery Day - Daytona Beach

Access to critical medical infrastructure and supplies can be limited in rural and remote communities, where long travel distances and limited transportation networks can delay emergency response/care. In fact, according to the National Library of Medicine, in the United States alone, “about 20% of the US population—more than 50 million people—live in rural areas, but only 9% of the nation's physicians practice in rural communities”, highlighting the challenges many communities face in accessing timely medical resources. Unmanned aerial vehicles (UAVs), however, offer a potential solution by providing fast and flexible delivery of critical life support medical payloads. Project 337, developed …

Sun-Synchronous Low Earth Orbit Missions For Imaging Applications, Isaac Rosenthal

Discovery Day - Daytona Beach

Orbit and mission design are crucial elements that must be considered to achieve Earth observation data for land monitoring. This project examines the sun-synchronous low Earth orbit (LEO) implementations of missions with similar objectives: NASA’s Landsat 8 and ESA’s Sentinel-2 constellation. The purpose of this study is to evaluate how differing mission designs, impact imaging and coverage capabilities. Key design trade offs between the two missions include altitude effects on atmospheric drag and station-keeping, swath width versus field-of-view choices, and a single, centralized spacecraft architecture versus a multi-satellite distributed system. This is accomplished by analyzing different orbital parameters, ground track …

Low-Complexity Polynomial Ring Learning For Quantum Space Assets, Lola Torres

Discovery Day - Daytona Beach

Secure communication for space-based systems requires cryptographic methods that remain both reliable and efficient under strict computational constraints. This work investigates a low-complexity polynomial ring learning algorithm designed for quantum space assets, including satellite–ground communication systems. The project focuses on post-quantum cryptographic principles, where encryption and decryption rely heavily on repeated polynomial operations; this can be computationally expensive with constrained platforms. This is addressed with reformulating polynomial multiplication as a structured linear transformation on coefficient vectors. By representing these operations as matrices with a cyclic structure, the structure allows the use of the discrete Fourier transform (DFT); this will simplify …

Stability Through Chaos: Atmospheric Impact And Control Strategies For Laser Communication, Om Acharya, Mykailla Harper, Mark Vanberschot, Aldir Moreira

Discovery Day - Daytona Beach

Study of Atmospheric Effects and Mitigation Strategies in Free-Space Optical Communication Systems examines the fundamental limitations imposed by atmospheric disturbances on point-to-point laser communication links and evaluates methods to improve link reliability and performance. Free-space optical communication offers high data rates and reduced spectral congestion compared to radiofrequency systems, but its effectiveness is constrained by atmospheric effects including turbulence-induced scintillation, beam wander, absorption, and scattering. These phenomena introduce fluctuations in signal intensity and pointing errors, leading to degraded link stability and increased bit error rates. The work analyzes these atmospheric effects and investigates mitigation strategies that enhance optical link robustness …

Innovative Controls For Combustible Particulate Dust In Industrial Refineries, Sadie Dickman

Discovery Day - Daytona Beach

This project entails an extensive analysis of the occupational combustible dust hazard that exists in industrial refineries, including food processing, manufacturing, and metalworking facilities. Based on prior accidents like the 2008 Imperial Sugar and 2017 Didion Milling explosions, combustible dust causes fire and explosion risks that can result in damages, injuries, and fatalities. Through comparison of OSHA regulations, NFPA standards, and accident data, a lack of effective standards regarding training, audits, ventilation, fire prevention, and adequate housekeeping measures were highlighted to be an existing safety gap. The purpose of this study is to propose administrative controls to mandate companies to …

Designing Under Pressure: A Comparative Study Of Ai And Manual Interface Development In A Naval Weapon System Scenario, Tsimur Babakhanau, Noah Clark, Colby Keller, Mary Grace Sorenson, Zoe Tiede

Discovery Day - Daytona Beach

This study implements a detailed naval scenario in which participants acted as operators on a Navy destroyer equipped with a Laser Weapon System (LaWS). Their task was to create a dashboard capable of stopping incoming suicide drone swarms while managing critical laser functions such as thermal constraints, threat prioritization, and adapting to attack dynamics. Poor management could leave the ship vulnerable. AI is increasingly integrated into design methods, fundamentally transforming the process of building user interfaces by compressing hours of work into minutes. Although AI design tools are becoming more common, little is known about how well beginners can use …

Interplanetary Trajectory Optimization With Reinforcement Learning, Shiloh Cuffe

Discovery Day - Daytona Beach

This project investigates the application of reinforcement learning (RL) to optimize low-thrust interplanetary trajectory design, focusing on the Earth-Venus transfer leg of the BepiColombo mission. Traditional trajectory optimization methods, such as patched conics and genetic algorithms, often require simplifying assumptions or complex optimization schemes. This work formulates the trajectory design problem as an optimal control problem (OCP) within a Markov Decision Process (MDP) framework, enabling an RL agent to learn efficient transfer strategies under realistic spacecraft constraints. The objective is to develop an autonomous guidance approach capable of replicating or improving upon established mission designs. The spacecraft is modeled as …

Future Meteorological Droughts In The Southeastern Us, Kunal Bhardwaj, C. Prakash Khedun, Abdul A. Khan

Journal of South Carolina Water Resources

The Southeastern U.S., despite its humid climate, experiences recurrent meteorological droughts which impact agricultural, water resources, ecological systems, and the economy and society. Knowledge of future drought conditions can guide adaptation efforts. Here, we evaluate historical and projected droughts using the Standardized Precipitation Index (SPI) and the Standardized Precipitation-Evapotranspiration Index (SPEI) computed from an ensemble of eight bias-corrected Global Climate Models (GCMs) from the Climate Model Intercomparison Phase-6 (CMIP6). The historical performance (1950–2014) of the GCM’s mean was benchmarked against gridded observations from the Climate Research Unit (CRU). Future changes were assessed under 1.5°C, 2.0°C, and 3.0°C global warming levels.We …

Se(3) Touchdown Dynamics With Multi-Joint Landing Legs And Regolith-Dependent Contact For Autonomous Tip-Over Risk Prediction, Rithika Nagarajan

Discovery Day - Daytona Beach

This project develops an SE(3)-based touchdown dynamics framework to study how lunar landers can remain stable during landing on sloped and uncertain terrain. Safe lunar landing is challenging because uneven load redistribution, slip, and asymmetric sinkage can push the vehicle’s center of mass outside its support polygon, increasing tip-over risk. The purpose of this work is to extend a fixed-leg touchdown model to a multi-joint landing leg system while also examining how varying regolith properties affect landing stability. The method combines coupled rigid-body translation and rotation with per-foot unilateral contact, compliant normal force response, and Coulomb-limited friction to simulate touchdown …

Design And Implementation Of A Synchronized Data Acquisition System For An Ihlp Cessna 182 Testbed, Celso Ferreira De Moura, Mariano Chavez Rangel

Discovery Day - Daytona Beach

This work presents the design and implementation of a fully integrated data acquisition system for a full scale Integrated High Lift Propulsion testbed based on a Cessna 182Q, with emphasis on hardware integration, sensor reliability, and time synchronization. A centralized architecture was developed in LabVIEW to acquire, process, and store data from both analog and digital sensors, including air data systems, inertial measurement units, control positions, and propulsion instrumentation. Analog sensors were carefully calibrated to ensure accurate conversion to engineering units, while digital sensors were incorporated into a unified framework to maintain consistency across all measurements. All ADC, GPS, INS, …

Cars Imass - Comparing Llm Vs Human Operator Effectiveness In Multi-Agent Swarm Coordination, Gatlin Nelson

Discovery Day - Daytona Beach

Title: Dual-Perspective Risk Analysis for Human-LLM Decision Comparison in UAV Swarm Navigation   Unmanned aerial vehicle (UAV) swarms operating in low-altitude wireless network environments encounter localized disruptions that degrade positioning and navigation metrics. These disruptions are modeled as geographic failure zones with defined boundaries. A UAV discovers a zone by entering it and observing degraded performance on its onboard systems. This work assumes that affected UAVs can autonomously retreat to safety using onboard sensors and focuses on the subsequent rerouting decision. Once recovered, the system generates candidate repositioning points surrounding the vehicle, each scored using Conditional Value-at-Risk (CVaR). A human operator …

Additive Manufacturing Of Metals: Mechanical Properties And Their Implications, Sean Chih

Discovery Day - Daytona Beach

Additive manufacturing of metals is a relatively new and groundbreaking approach to manufacturing high-performance components. However, variability in mechanical properties from the process creates a barrier before this manufacturing technique can be widely applied. Understanding when and where to use this manufacturing is also important to create components with efficiency and without harmful defects. The objective of this research is to evaluate the effects of build orientation, printing parameters, internal defects, thermal history, and residual stresses, post-processing heat treatments, and fatigue behavior on additively manufactured components. Literature-based research is conducted on commonly used metals for additive manufacturing, such as stainless …

A Feedback Loop Control To Automate Cold Atmospheric Pressure Plasma Based Additive Manufacturing, Arineh Shahbazi

Discovery Day - Daytona Beach

Currently, nanoparticle annealing based additive manufacturing process requires high temperatures, making them unsuitable for a broad range of applications. By lowering the temperature and developing a process to use Cold Atmospheric Pressure Plasma (CAPP) for annealing, many more doors are opened to a wide range of materials, films, and environments for space, communication, and microelectronics. CAPP-based additive manufacturing technology is continually evolving, making projects like nanoparticle annealing more feasible. In this work, we designed a CAPP jet printer assembly consisting of a 0.25-inch outer diameter glass tube connected to a 3D printing nozzle. The flow of Argon gas in the …

Fall Hazard Prevention: A Zero-Fatality Goal For Health, Safety, And Well-Being On Construction Sites, Alena Richardson, Chaidaliz Minguela Alicea, Nicola Kaehler, Charlene Weaver

Discovery Day - Daytona Beach

Jobsites face hazards like falls, which threaten the health, safety, and well-being of construction workers. Falls are the leading cause of all accidents and fatalities in construction, accounting for approximately 40% of all worker deaths in 2023. While achieving a zero-accident rate for falls is inherently challenging, prioritizing a zero-fatality objective represents a practical and impactful starting point. The Occupational Safety and Health Administration (OSHA) recommends a six-step action approach for the prevention and control of hazards like falls. Of particular interest, the State of Florida is consistently ranked among the highest for construction fall fatalities, often attributed to insufficient …

Simulating Pacemakers And Heartbeat Recovery Through Mathematical Modeling, Thomas Estrada, Jayla Edwards

Discovery Day - Daytona Beach

Title: Simulating Pacemakers and Heartbeat Recovery Through Mathematical Modeling   This study utilizes the Fitzhugh-Nagumo model to simulate cardiac electrical activity and the regulatory role of pacemakers through ordinary differential equations (ODEs). By defining the rate of change for membrane voltage, 𝑑𝑣/dt, and a recovery variable, 𝑑𝑤/dt, the model captures the heart's excitability and resting states. Central to the analysis is the stimulus current parameter, which represents the "kick" provided by a pacemaker to correct flatline conditions or weak heartbeats. Using Euler’s method for numerical integration, the research compares unstable cardiac rhythms against corrected periodic oscillations. Additionally, the project implements vector …

Simulations Of Phugoid Motion Of Jal 123, Dereth J J. Drake Scheuermann

Georgia Journal of Science

Airplanes rely on a balance between the four forces of flight: lift, weight, thrust, and drag. If these forces are balanced, the airplane will remain stable. However, if structurally or systematically compromised, the motion can rapidly become unstable. In the aviation industry, mistakes in repairs and aircraft design can lead to accidents causing the loss of life in some cases. In this article, we will be analyzing what happened 70 Japan Airlines flight 123 and how the flight’s motion deteriorated due to a defective repair. More specifically, we will discuss the aerodynamic effects of phugoid motion and how it developed …

Mountain Development In Nepal: Settlements, Infrastructure, And Economic Transformation, Keshav Bhattarai, Ambika P. Adhikari

Himalayan Research Papers Archive

As Nepal urbanizes, expands infrastructure, strengthens local governments, and explores deeper connectivity with India and China, climate change is increasing floods, landslides, heat, and water insecurity. Rapid internal migration, rising disaster risks, youth outmigration, and dependence on remittances are also revealing the limits of conventional urban development, especially in the mountainous region. The central challenge for Nepal is no longer just to accommodate growing towns and cities, but to build settlements that are safe, productive, environmentally resilient, and capable of sustaining long-term prosperity.

This paper argues that Nepal's urban future must be guided by a new development paradigm centered on …

Enhancing A Mid-Wave Infrared Fourier Transform Hyperspectral Imager For Explosions, James T. Stofel, Kody A. Wilson, Martin Larivière-Bastien, Anthony L. Franz, Michael L. Dexter

Faculty Publications

Capturing reliable hyperspectral imager data at a meaningful frame rate for explosions and other fast-changing scenes is not possible in the mid-wave infrared region under traditional sensor operating configurations and processing techniques, which typically have frame rates on the order of 0.5–2.0 Hz. To combat these shortcomings, the scene acquisition parameters were tailored for explosions and a new method for processing optical signatures of fast transient scenes with Fourier-transform infrared hyperspectral imagers was developed. For this technique, the instrument was first configured to collect asymmetric interferograms while optimizing the number of measurement points on the short side of the interferogram. …

Terrain Characterization And Spot Traversability In Mining Environments, Gordon Oti

Honors Theses

Hazardous mining environments, including abandoned underground workings and disturbed surface areas, remain difficult to explore safely because of unstable ground conditions, limited accessibility, and unknown terrain characteristics. The Boston Dynamics SPOT quadruped platform supports remote exploration and data collection in these environments; however, effective operation requires a better understanding of how measurable terrain characteristics relate to SPOT traversability performance.

This study combined terrestrial laser scanning (TLS)-based terrain characterization with field-based SPOT testing to evaluate traversability performance in representative mining environments. High-resolution TLS data acquired using a Maptek laser scanner were processed to quantify terrain slope and rock fragmentation, while field …

Wip: Developing A Generative Ai Autoethnography Assistant, Jyoti Suhag, Jennifer Drewyor, Kathryn Bugbee, Michelle Jarvie-Eggart, Lynn Albers, Leo Ureel

Michigan Tech Publications

Background: Generative AI (genAI) is transforming educational research, offering new possi-bilities for conducting interviews while local sandboxing minimizes data privacy risks and hallucinations. Purpose: This work-in-progress presents the AI Autoethnography Assistant, a project investigating how large language models (LLMs) can support autoethnographic interview design and execution. Approach: Using prompt engineering grounded in Interpretative Phenomenological Anal-ysis, paraphrasing techniques, and structured follow-up questions, we developed protocols that incorporate po-sitionality and prompt reflection on origin stories and pivotal life moments. Outcomes: Conversations conclude at the user’s discretion, with the AI generating a thematic summary. We tested refined prompts across four platforms (Gemini, Claude, …

Modeling And Simulation Of Solar Battery Charge Controller Using Adaptive Particle Swarm Optimization Mppt Algorithm, Mustafa Sacid Endiz, Göksel Gökkus

Mathematical Modelling and Numerical Simulation with Applications

Implementing an effective Maximum Power Point Tracking method is crucial for optimizing solar energy harvesting against environmental fluctuations like solar radiation and temperature. This paper introduces a novel approach for modeling and simulating a solar battery charge controller, using a modified Particle Swarm Optimization algorithm. The power stage of the system is based on a SEPIC converter, which is employed to manage the power conversion and improve the energy transfer to the battery. The developed circuit model is evaluated under various radiation levels at a constant temperature, as well as under different temperature levels at a constant radiation. Simulations are …

C.S.A. Assessment - Tamp Family Health Center Portal, Delante Clark

Graduate Scholarship and Creative Works

This C.A.S. assessment evaluates how the Tampa Family Health Centers website influences userattention, cognitive processing, information accessibility, navigation efficiency, and digital user experience.The assessment examines whether the platform supports intentional engagement and informed decision-making while minimizing cognitive overload, distraction, confusion, and unnecessary attentional demands.

TFHC serves as a healthcare access portal providing appointment scheduling, patient resources, providerinformation, healthcare services, MyChart access, payment services, and community health resources.These functions make attention management and information clarity critical to successful user outcomes.

Comparative Analysis Of Artificial Intelligence (Ai) Implications For Active Learning And Assessment At Various Curricular Levels Of Stem And Health Sciences In Developed Versus Underprivileged Countries, Vinay Munlapudi, Santanu De

FDLA Journal

Today’s all-pervasive emergence of artificial intelligence (AI) necessitates a comprehensive evaluation of its role in education, especially for occupational disciplines in health sciences and STEM. AI has reshaped student learning and instructors’ navigation of the evolving, post coronavirus infectious disease (COVID-19) global academic landscape. This study aimed at encapsulating evidence-based AI implications for student-centered, active learning and assessment at various curricular levels of science, technology, engineering, mathematics (STEM) and health sciences education in developed versus underprivileged or less developed countries. An extensive, scoping review of 65 recent, scholarly publications was conducted over six months through diverse search engines (PubMed, Google …

65th Annual Rocky Mountain Conference On Magnetic Resonance

Rocky Mountain Conference on Magnetic Resonance

Conference program, abstracts, and information about the 65th annual meeting of the Rocky Mountain Conference on Magnetic Resonance. Held in the Snowbird Resort and Conference Center, Snowbird, Utah, August 2-6, 2026.

Rockin’ Rover On The Rainbow Road, Michael Kolta, Lawrence Burgee, Ying Yuan

Transformations

This paper presents a progressive series of age-appropriate lesson plans for grades K-12 that all use the same interdisciplinary activity to educate students about Science, Technology, Engineering, Art, and Mathematics (STEAM) simultaneously. Technology from Texas Instruments (TI) was employed including a TI Nspire graphing calculator that can run Python programs, a TI Innovator Hub, and a TI Rover. The TI Rover is a small, robotic car that has sensors and is controlled by the calculator via the Hub hardware interface. A Python program was developed that uses the color sensor in the Rover to detect the color on colored paper …

Modeling Formation Of Turbulent Sporadic-E Clouds Using Realistic Wind Data, Aaron M. Schinder, Kenneth S. Obenberger, Jorge L. Chau, Juan M. Urco, Matthias Clahsen, Benjamin F. Akers, Daniel J. Emmons

Faculty Publications

A high resolution two-dimensional multi-fluid model of sporadic-E layers was developed and driven with physically realistic mesosphere, lower thermosphere (MLT) winds measured over Albuquerque, New Mexico. The realistic E-region winds are produced by the HYdrodynamic Point-wise Environment Reconstructor (HYPER) model that ingests meteor derived wind observations from a Spread-spectrum Interferometric Multistatic meteor radar Observing Network (SIMONe) system combined with the Navier-Stokes equations to provide high resolution three-dimensional wind fields over time. Sporadic-E dynamics are simulated using both realistic winds from HYPER as well as idealized hyperbolic tangent windshears to compare and contrast. Overall, the model shows greater inhomogeneity and irregularity …

Developing And Validating A Socio-Technical Bim-Lean Integration Maturity Model For Predicting Construction Project Performance, Felix Delmonte

Mechanical and Civil Engineering Faculty Publications

This study proposes a socio-technical, multi-level maturity model that integrates BIM and Lean to explain variation in project performance across cost, schedule, productivity, quality, safety, and sustainability, and outlines a sequential mixed-methods design-science programmed for instrument development and validation. Combining systematic review, semi-structured expert interviews, Delphi consensus, exploratory and confirmatory factor analysis, multi-criteria weighting, and PLS-SEM, the approach separates adoption, subsystem capability, and integration maturity, and treats integration as an emergent property of aligned infrastructure, human capability, governance, and continuous-improvement routines. Measurement development emphasizes reflective multi-item constructs for BIM technical capability, Lean production governance, system integration quality, socio-technical alignment, and …

An Integrated Bim, Ipd And Lean Capability Maturity Model For Construction, Felix Delmonte

Mechanical and Civil Engineering Faculty Publications

This study proposes an integrated BIM–IPD–Lean maturity construct that conceptualizes digital information management, contractual governance, and production system discipline as interdependent socio-technical capabilities and develops a validated measurement architecture to relate this higher order construct to project performance. A mixed methods strategy is described that uses qualitative interviews and expert panels to generate items and maturity level descriptions, followed by pilot testing and rigorous psychometric evaluation (EFA, AVE, Composite Reliability, CFA/PLS-SEM) to establish convergent and discriminant validity for BIM, IPD, and Lean subscales. Hypotheses anticipate a positive association between integrated maturity and quality, time, cost, safety, productivity, sustainability, and stakeholder …