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Articles 271 - 300 of 13029

Full-Text Articles in Engineering

Navigating Enhanced Exploration Assistance (Nexa), Azhari Abbas, Caleb Fakunle, Ryan Powell, Donovan Livingston Aug 2026

Navigating Enhanced Exploration Assistance (Nexa), Azhari Abbas, Caleb Fakunle, Ryan Powell, Donovan Livingston

Discovery Day - Daytona Beach

NEXA is an artificial intelligence software platform developed to enhance residential security and property monitoring through seamless integration with autonomous drone systems. This research application of advanced AI in surveillance aims to create a standalone solution capable of real-time threat detection and intelligent alert management. By processing visual and sensory data, NEXA facilitates autonomous drone operation with minimal human intervention. Secure communication channels ensure that instant alerts are delivered to property owners and, potentially, law enforcement, improving response times in security incidents, search-and-rescue operations, and perimeter surveillance. Additionally, NEXA is capable of interfacing with commercially available drone platforms and presents …

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Apical-Out Lung Organoids: A Platform For Spaceflight And Cf Research, Valeria Jimenez, Ally Schwennesen Aug 2026

Apical-Out Lung Organoids: A Platform For Spaceflight And Cf Research, Valeria Jimenez, Ally Schwennesen

Discovery Day - Daytona Beach

A genetic condition known as cystic fibrosis (CF) is brought on by mutations in the CFTR gene, which results in chronic lung inflammation and impaired chloride ion transport. CF bronchial epithelial cells enable direct comparison of disease pathology, while normal human bronchial epithelial (NHBE) cells offer an essential model for researching airway physiology. Realistic modeling of respiratory tissue and its reaction to environmental stressors like microgravity is made possible by the creation of 3D lung organoids from these cells. In this project, we developed apical-out organoids, which expose the apical surface of epithelial cells to the external environment. These organoids …

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Turbine Aerodynamics And Performance Characterization, Anuranan Bharadwaj, Kalkamanali Satvaldy, Vincent Shi Aug 2026

Turbine Aerodynamics And Performance Characterization, Anuranan Bharadwaj, Kalkamanali Satvaldy, Vincent Shi

Discovery Day - Daytona Beach

This research presents an integrated study combining computational modeling and experimental validation to enhance the design and performance characterization of small-scale turbine systems. The theoretical component focuses on developing an object-oriented Python code for the preliminary design and performance prediction of radial turbines, capable of generating velocity triangles, thermodynamic properties, and geometric parameters from user-defined inputs. The tool employs Whitfield-based correlations and fundamental gas-dynamic relations to estimate exit flow parameters, work ratio, and efficiency, offering flexibility for expansion into geometry export and CAD integration.   Complementing the computational model, the experimental component aims to improve the aerodynamic testing capabilities of the …

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An Evaluation Of Machine Learning Models' Efficacy In Determining Uav Spoofing Attacks, Nicolas Machado, Jaxon Selzer Aug 2026

An Evaluation Of Machine Learning Models' Efficacy In Determining Uav Spoofing Attacks, Nicolas Machado, Jaxon Selzer

Discovery Day - Daytona Beach

An Evaluation of Machine Learning Models' Efficacy in Determining UAV Spoofing Attacks - The rapid integration of Unmanned Aerial Vehicles (UAVs) into urban airspace has introduced significant cybersecurity concerns, particularly due to vulnerabilities in Automatic Dependent Surveillance–Broadcast (ADS-B), which lacks authentication and encryption. This project addresses the problem of detecting spoofing and data manipulation attacks that can compromise UAV safety and mission reliability. The objective of this work is to evaluate the effectiveness of machine learning–based anomaly detection, specifically Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) networks, as protocol-agnostic solutions for identifying anomalous UAV behavior. To achieve this, …

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Investigation Of Biofilm Formation And Osmotic Stress Tolerance Of Nonmotile Escherichia Coli In Simulated Microgravity, Tyler Jenkins Aug 2026

Investigation Of Biofilm Formation And Osmotic Stress Tolerance Of Nonmotile Escherichia Coli In Simulated Microgravity, Tyler Jenkins

Discovery Day - Daytona Beach

Simulated microgravity presents multiple physiological stressors for astronauts, including bone demineralization, muscle loss, and weakening of the immune system. Bacteria serve as viable model organisms to study physiological changes because of their abundance in the human digestive system and skin. Motility in bacteria plays a significant role in cell survival, but few studies have been conducted on microgravity’s effect on motility phenotypes. While motile strains like Escherichia coli K12 have been studied extensively under microgravity conditions, the effects of simulated microgravity on non-motile strains are largely unknown. To better understand this relationship, the nonmotile E. coli MG1655 strain was inoculated …

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String-Of-Pearls Measurements Of Supersonic Plasma Jets Using Magnetospheric Multiscale Satellites, Amelia Koth Aug 2026

String-Of-Pearls Measurements Of Supersonic Plasma Jets Using Magnetospheric Multiscale Satellites, Amelia Koth

Discovery Day - Daytona Beach

High-energy supersonic plasma jets form when the solar wind, which is a flow of charged particles from the Sun, slows down as it encounters Earth’s magnetic shield. Occasionally, the solar wind remains at supersonic speeds as it enters this region. This forms plasma jets that propagate toward Earth; these jets can carry strong magnetic fields, drive magnetic reconnection, and potentially initiate substorms that lead to auroral activity.   Previously studied plasma jets occurred when the interplanetary magnetic field (IMF) points southward. In contrast, this study focuses on northward IMF conditions, which are less understood, yet still capable of producing supersonic jets. …

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Evaluation Of Antimicrobial Resistance In Pathogens Relevant To Long-Duration Space Missions, Natalie Brattain, Yegor Bushnev, Mikayla M. Dutkiewicz Aug 2026

Evaluation Of Antimicrobial Resistance In Pathogens Relevant To Long-Duration Space Missions, Natalie Brattain, Yegor Bushnev, Mikayla M. Dutkiewicz

Discovery Day - Daytona Beach

Antimicrobial resistance is a growing global concern that necessitates the development of effective strategies for selecting appropriate antibiotics, especially in the context of future long-duration space missions, where infection control and treatment options are limited. This study employs the Kirby–Bauer disk diffusion assay to evaluate the antimicrobial susceptibility of Pseudomonas aeruginosa and other clinically and spaceflight-relevant bacterial pathogens such as Klebsiella pneumoniae, Staphylococcus aureus, and Streptococcus pneumoniae. These pathogens will be tested with commonly used antibiotics and potential natural compounds.   The pathogens will be cultured and isolated onto Mueller–Hinton agar plates. Antibiotic disks, along with various flavonoids disks, such as …

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Helio: Heliophysics Enhanced Learning For Intelligent Orbits, Kylie Nager, James Kirk Aug 2026

Helio: Heliophysics Enhanced Learning For Intelligent Orbits, Kylie Nager, James Kirk

Discovery Day - Daytona Beach

HELIO: Heliophysics Enhanced Learning for Intelligent Orbits   Satellite constellations operating in near-Earth space are increasingly vulnerable to space weather disturbances, such as solar flares, coronal mass ejections (CMEs), and high-speed solar wind streams, which degrade communications, destabilize attitude control, and accelerate orbital decay. These disturbances directly threaten mission continuity, constellation availability, and space asset survivability. Current protective approaches rely primarily on ground-based alerts and lack integration with broader space domain awareness, which results in programmed reactive protocols that are often initiated too late to prevent performance degradation and asset loss. The HELIO project addresses this gap by turning space-weather forecasts …

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Interplanetary Trajectory Optimization With Reinforcement Learning, Shiloh Cuffe Aug 2026

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 …

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Generalized Cloud-Based Compressible Aerodynamics Calculator And Simulation Web App, Massimo Mansueto, Liam Griesacker, Andres Torres-Figueroa Aug 2026

Generalized Cloud-Based Compressible Aerodynamics Calculator And Simulation Web App, Massimo Mansueto, Liam Griesacker, Andres Torres-Figueroa

Discovery Day - Daytona Beach

The Generalized Cloud-Based Compressible Aerodynamics Calculator and Simulation Web App focuses on the development of a tool to support the analysis, visualization, and teaching of compressible aerodynamics. In the case of most undergraduate aerospace engineering courses, students rely on static equations, charts, and manual calculations, which can make it difficult to conceptualize complex flow phenomena such as shock waves, expansion fans, and nozzle flow. The purpose of this project is to create an accessible platform that integrates a compressible flow calculator, nozzle sizing tool, and interactive simulations into a single educational resource. The application is implemented using modern web development …

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Terramechanics-Based Comparison Of Dem And Crm For Lunar Surface Applications, Nicolas Bonasoro Aug 2026

Terramechanics-Based Comparison Of Dem And Crm For Lunar Surface Applications, Nicolas Bonasoro

Discovery Day - Daytona Beach

Understanding how lunar regolith interacts with robotic systems is important for safe surface operations because uncertain terrain conditions can affect rover traversability and lunar lander stability. This work applies terramechanics to two space robotics applications: in-situ cone penetration testing (CPT) for terrain assessment and lunar lander touchdown analysis for evaluating sinkage, force response, and stability. The study compares the Discrete Element Method (DEM), which resolves particle-scale interactions and captures detailed regolith behavior, with the Continuum Representation Method (CRM), which models soil response more efficiently and supports rigid CAD components such as lander footpads, legs, and body geometries. Current CPT results …

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Robotic Arm Development For Cone Penetration Testing On The Lunar Surface, Jonah Graff, Derek Zhang Aug 2026

Robotic Arm Development For Cone Penetration Testing On The Lunar Surface, Jonah Graff, Derek Zhang

Discovery Day - Daytona Beach

Just as on Earth, future lunar operations will require accurate characterization of surface conditions. On Earth, a proven method for this is Cone Penetration Testing (CPT), which evaluates soil bearing capacity and stratification. This information is vital for lunar operations, including habitat construction, resource extraction, and safe pathfinding. However, traditional CPT systems are designed for human operation and lack autonomy. This project addresses that limitation by developing an autonomous, in-situ terrain characterization system for lunar surfaces. The device is driven by ball-screw actuators powered by stepper motors and controlled through an Arduino Mega, using a combination of metal and 3D-printed …

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Extending The Essentially Entropic Lattice Boltzmann Method To Three-Dimensional Turbulent Flows, Michael Derderian Aug 2026

Extending The Essentially Entropic Lattice Boltzmann Method To Three-Dimensional Turbulent Flows, Michael Derderian

Discovery Day - Daytona Beach

The Entropic Lattice Boltzmann Method (EELBM) has demonstrated strong numerical stability and accuracy for two-dimensional simulations, particularly at higher resolutions where the entropic formulation introduces only minimal stabilizing turbulent viscosity and eventually converges to the Lattice Bhatnagar–Gross–Krook (LBGK) formulation. This built-in stabilization can be interpreted as an implicit large-eddy simulation (LES) model, allowing EELBM to capture complex turbulent behavior without requiring explicit subgrid-scale closures. While these advantages have been thoroughly validated in 2D, understanding how the entropic constraint regulates dissipation in three dimensions is essential for assessing EELBM’s suitability for practical, turbulence-dominated applications. This work focuses on the development and …

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Feasibility Of High-Throughput Onboard Ai For Mars Rovers Under Solar Constraints, Aashman Gupta Aug 2026

Feasibility Of High-Throughput Onboard Ai For Mars Rovers Under Solar Constraints, Aashman Gupta

Discovery Day - Daytona Beach

This project evaluates the feasibility of sustained onboard AI autonomy for a solar-powered Mars rover by directly linking solar energy availability to achievable compute performance. While Mars solar irradiance and edge computing performance have been studied independently, no unified framework currently couples surface power generation to autonomy throughput in an experimentally validated manner. The project will begin with a simulation of solar power generation for a 1 m² rover-mounted array across a Martian sol, accounting for seasonal variation, dust opacity, and array configuration (fixed versus sun-tracking). The resulting power profile will then be coupled to representative compute platforms running autonomy …

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Metabolic Regulation And Immunity In The Spaceflight Environment, Graeme Grainger, Riley Dienna, Astrid Senko, Angela Cebula, Arden Rodriguez Arden Rodriguez Aug 2026

Metabolic Regulation And Immunity In The Spaceflight Environment, Graeme Grainger, Riley Dienna, Astrid Senko, Angela Cebula, Arden Rodriguez Arden Rodriguez

Discovery Day - Daytona Beach

Long-duration spaceflight exposes astronauts to chronic ionizing radiation and microgravity that disrupts homeostasis in the immune system and cellular metabolism. While simulated spaceflight models demonstrate altered T-cell polarization and sex-dependent shifts toward regulatory phenotypes, the metabolic mechanisms driving these immune changes remain unclear. Immune cell function is tightly linked to metabolic programming, with effector T cells relying on glycolysis and regulatory T cells favoring oxidative metabolism, making them highly sensitive to shifts in nutrient availability and redox balance. Emerging research further suggests that neutrophils act as metabolic regulators capable of reshaping the immune microenvironment through oxidative stress, cytokine production, and …

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Assessing Non-Thermal Plasma In Cutaneous Regeneration, Arden Rodriguez, Meliah Martin, Graeme Grainger, Arineh Shahbazi Aug 2026

Assessing Non-Thermal Plasma In Cutaneous Regeneration, Arden Rodriguez, Meliah Martin, Graeme Grainger, Arineh Shahbazi

Discovery Day - Daytona Beach

Chronic and acute wounds remain a significant clinical challenge, particularly in austere and resource-limited environments where access to advanced care is restricted. Non-Thermal Plasma (NTP) has emerged as a promising, non-invasive modality with reported antimicrobial and regenerative properties; however, its mechanisms of action and effects on human skin tissue require further characterization. The scope of this project is to engineer and utilize a 3D human skin epithelial model to evaluate the effects of NTP on wound healing. We will first build a 3D epithelial tissue model that will simulate human skin, followed by modeling and evaluation of wound pathology and …

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Magnesium-Enhanced Methane: A Novel Metalized Fuel For Mars Return Missions And Next-Generation Propulsion Systems, Kinga Wysocka Aug 2026

Magnesium-Enhanced Methane: A Novel Metalized Fuel For Mars Return Missions And Next-Generation Propulsion Systems, Kinga Wysocka

Discovery Day - Daytona Beach

This research investigates magnesium-enhanced methane as a novel metalized fuel concept for high-performance, in-situ resource utilization (ISRU)-compatible rocket propulsion. While methane is a leading candidate for Mars missions due to its producibility via the Sabatier process, its combustion performance is limited by the high activation energy of the initial C–H bond (~4 eV). To address this limitation, density functional theory (DFT) calculations were performed to analyze methane and hydrogen interactions with a Mg(0001) surface. A converged slab model (3×3×4 and 3×3×5) was validated with energy differences below 1 meV per atom for k-point sampling and ~13.99 meV per atom for …

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From Dust To Growth: Microbial Pathways To Extraterrestrial Farming, Stefani Capasso Villanueva, Nupur Kulkarni Aug 2026

From Dust To Growth: Microbial Pathways To Extraterrestrial Farming, Stefani Capasso Villanueva, Nupur Kulkarni

Discovery Day - Daytona Beach

From Dust to Growth: Microbial Pathways to Extraterrestrial Farming addresses the fundamental challenge of sustaining long-term human habitation on other planets. In the era of the Artemis missions, establishing a cost-effective, bioregenerative food source is critical to reducing logistical dependency on Earth, and mitigating the physiological stressors faced by spacecrew through improved nutrition. This study initially investigated the viability of cultivating Mizuna, a proven ISS model organism, in a substrate of Martian regolith simulant amended with organic compost. Following iterative trials, it was found that the plant survival rate was extremely low, even after varying percentages of compost and simulant. …

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Advanced Manufacturing And Materials Of A Bio-Mimetic Hoof For Space Robotics Applications, Benjamin Heckel Aug 2026

Advanced Manufacturing And Materials Of A Bio-Mimetic Hoof For Space Robotics Applications, Benjamin Heckel

Discovery Day - Daytona Beach

Planetary surfaces often feature steep, uneven, and unpredictable terrain conditions that resemble some of the most challenging natural environments on Earth. In these terrestrial settings, certain animals have evolved to navigate complex landscapes with remarkable agility. One example is the mountain goat, an animal whose hooves have evolved for stable and precise movement across rocky, inclined surfaces. This biological adaptation provides a useful model for improving robotic mobility in planetary exploration. This study draws inspiration from that natural adaptation to develop a bio-mimetic robotic hoof designed to enhance traction, durability, and adaptability for extraterrestrial exploration. By replicating the mechanical properties …

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Fault-Aware Flight Path Assessment For Evtols Using An Integrated Air Traffic Management Environment, John Clardy, Edison Alberto Martinez Samaniego Aug 2026

Fault-Aware Flight Path Assessment For Evtols Using An Integrated Air Traffic Management Environment, John Clardy, Edison Alberto Martinez Samaniego

Discovery Day - Daytona Beach

This study introduces a simulation framework to evaluate Fault-Aware Flight Paths for electric vertical takeoff and landing (eVTOL) aircraft within an integrated air traffic management environment. By combining an air traffic management system with intelligent trajectory generation frameworks, the approach assesses the development of safe, adaptive, and fault-aware flight paths that account for traffic interactions, airspace features, and specific operational constraints. Real-world historical airspace traffic data was used to accurately simulate complex and congested operational conditions. The main goal is to evaluate the operational impact of integrating eVTOL operations into the National Airspace System, with a focus on conflict detection, …

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Experimental Design And Comparative Analysis Of Cubesat-Based Reflector Concepts For Future Solar Energy Redirection On Mars, Tatyana Vladislavova Ivanova Aug 2026

Experimental Design And Comparative Analysis Of Cubesat-Based Reflector Concepts For Future Solar Energy Redirection On Mars, Tatyana Vladislavova Ivanova

Discovery Day - Daytona Beach

Previous research shows that redirecting sunlight with large orbital mirrors could support warming specific regions of Mars by targeting ice deposits and releasing greenhouse gases. Although the concept has strong theoretical support, deploying and adjusting massive rigid reflectors in orbit remains a major technical challenge. This study aims to investigate the impact of using a swarm of small, adjustable CubeSats equipped with different reflector types on the effectiveness of solar energy redirection for Martian surface heating. Through comparison of multiple designs in controlled conditions, this work addresses whether smaller, flexible systems could offer a practical alternative to traditional large mirrors. …

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Se(3) Touchdown Dynamics With Multi-Joint Landing Legs And Regolith-Dependent Contact For Autonomous Tip-Over Risk Prediction, Rithika Nagarajan Aug 2026

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 …

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An Energy-Aware Meta-Learning Framework For Real-Time Lunar Rover Localization Via Adaptive Algorithm Selection, Jose Demedeiros, Garrett Seyler Aug 2026

An Energy-Aware Meta-Learning Framework For Real-Time Lunar Rover Localization Via Adaptive Algorithm Selection, Jose Demedeiros, Garrett Seyler

Discovery Day - Daytona Beach

This work proposes an energy-aware meta-learning framework that selects the single most suitable localization algorithm for a lunar rover, per scene, using only monocular imagery and orbital maps. The goal is to achieve sub-meter accuracy while minimizing onboard compute and energy consumption. We assemble a suite of seven lunar-relevant algorithms spanning relative and absolute localization, including monocular ORB-SLAM3, LuVo homography-based visual odometry, Censible cross-view matching with orbital imagery, crater-based methods (LunarNav and ShadowNav), monocular horizon navigation with a DEM, and DROID-SLAM. Relative methods provide incremental motion updates, while absolute methods deliver global pose fixes; an Extended Kalman Filter fuses these …

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A System Safety Approach To Assuring Artificial Intelligence Enabled Functions In Civil Aviation, Evan Bear, Quinn Galen Aug 2026

A System Safety Approach To Assuring Artificial Intelligence Enabled Functions In Civil Aviation, Evan Bear, Quinn Galen

Discovery Day - Daytona Beach

Artificial intelligence and machine learning techniques are increasingly proposed for use in safety-critical civil aviation functions including perception decision support and pilot assistance. Existing aviation safety and certification standards such as ARP4754A and DO-178C were developed under assumptions of determinism explicit requirements and complete behavioral specification which do not directly apply to learning-enabled systems. This mismatch has created uncertainty regarding how artificial intelligence enabled avionics can be safely assured and certified. This paper presents a system safety approach for assuring artificial intelligence enabled functions within existing aviation certification frameworks. In this approach safety assurance is based on explicitly identifying the …

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A Hybrid Llm-Srgm Framework For Ai-Enabled Reliability Assessment In Safety-Critical Software Systems, Caleb Stone, Shrenik Jadhav Aug 2026

A Hybrid Llm-Srgm Framework For Ai-Enabled Reliability Assessment In Safety-Critical Software Systems, Caleb Stone, Shrenik Jadhav

Discovery Day - Daytona Beach

Ensuring the reliability of software intensive and safety critical systems is a persistent challenge across aerospace, defense, transportation, and other mis- sion focused domains. Traditional software relia- bility growth models (SRGM) provide useful quanti- tative insight into defect discovery trends, but they rely mostly only on numerical failure data and do not use the rich contextual information contained in test logs, anomaly reports, and engineering notes. This paper presents a hybrid framework that com- bines semantic features extracted by a large lan- guage model (LLM) with a non-homogeneous Pois- son process (NHPP) based software reliability growth model. The LLM analyzes …

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Experimental Manufacturing Optimization Of 3d-Printed Ducted Fans, Stanlie Cerda-Cruz Aug 2026

Experimental Manufacturing Optimization Of 3d-Printed Ducted Fans, Stanlie Cerda-Cruz

Discovery Day - Daytona Beach

This study aims to assess the efficiency gains, feasibility, and practicality of 3D printing fan and ducts with pre and post processing techniques. With the rapid expansion of MAV use; labs, students, hobbyists, can benefit from manufacturing Electric Ducted Fans (EDFs), both fans and ducts, in-house rather than purchasing traditional propellers. There are several advantages of utilizing EDFs, as they can minimize wing tip vortices, reduce wake contraction, and induce a duct lip Coanda effect which all lead to an increased system efficiency. However, EDF implementation in MAV's remain largely unexplored due to the difficulty of development and the production …

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Design And Implementation Of A Synchronized Data Acquisition System For An Ihlp Cessna 182 Testbed, Celso Ferreira De Moura, Mariano Chavez Rangel Aug 2026

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, …

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Cars Imass - Comparing Llm Vs Human Operator Effectiveness In Multi-Agent Swarm Coordination, Gatlin Nelson Aug 2026

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 …

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Multi-Dimensional Particle-In-Cell With Monte Carlo Collisions (Pic-Mcc) Simulation For Visualizing Plasma Flow And Secondary Ionization In Constricted-Anode Geometries, Parth Thakar Aug 2026

Multi-Dimensional Particle-In-Cell With Monte Carlo Collisions (Pic-Mcc) Simulation For Visualizing Plasma Flow And Secondary Ionization In Constricted-Anode Geometries, Parth Thakar

Discovery Day - Daytona Beach

Constricted-anode plasma sources generate locally intensified electric fields that enhance ionization near the anode, making them valuable in propulsion and laboratory plasma systems. However, the narrow geometry produces complex charge accumulation and secondary ionization effects that remain difficult to measure experimentally. To address this challenge, our research develops and applies a multi-dimensional Particle-in-Cell with Monte Carlo Collisions (PIC-MCC) simulation of a DC discharge in 1-D, 2-D, and 3-D configurations that model a constricted-anode device. PIC-MCC is a first-principles method that tracks electrons and ions individually while computing self-consistent electric fields and incorporating energy-dependent collision processes. This approach enables direct visualization …

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Phaëthon System, Brady Roudabush, Lauren Gallo, Emelia Thompson, Jacob Woods Aug 2026

Phaëthon System, Brady Roudabush, Lauren Gallo, Emelia Thompson, Jacob Woods

Discovery Day - Daytona Beach

Phaëthon System is the project name for the Search and Rescue Drone Initiative. This initiative will improve the current search and rescue drone industry by introducing new techniques to get through dense forest canopies and other places where an overhead view is not useful. The Phaëthon System uses a swarm of drones that can penetrate under the tree canopy to map and search with the utmost efficiency and safety for rescuers. A command drone is launched to survey the overall search area, and set up a communications and data link. The next component is then released, which is a swarm …

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