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Articles 481 - 510 of 121229
Full-Text Articles in Entire DC Network
Quantitative Analysis Of A Single Operator’S Flight Behavior In Simulation, Zackrey Schraeder
Quantitative Analysis Of A Single Operator’S Flight Behavior In Simulation, Zackrey Schraeder
Discovery Day - Daytona Beach
Uncrewed Aircraft Systems (UAS), or more commonly known as drones, have become increasingly used for a variety of applications, and more research has emerged studying the human-machine interaction and pilot performance metrics. Current research focuses on desired behaviors or aggregated pilot data which does not provide a holistic picture of an individual pilot’s flight behaviors, which are shaped by their own experience, preferences, and risk tolerance. The study investigates whether an individual pilot’s flight behaviors can be considered a pattern or if there is enough flight-to-flight variability to consider the behaviors inconsistent. A series of 20 flights were conducted in …
Learning Casual Structures From Aviation Accident Narratives Using Natural Language Processing And Graph-Based Knowledge Representation, Stephanie Ramsey, Katherine Hoffsetz, Madeline Gorman, Logan Lambeth
Learning Casual Structures From Aviation Accident Narratives Using Natural Language Processing And Graph-Based Knowledge Representation, Stephanie Ramsey, Katherine Hoffsetz, Madeline Gorman, Logan Lambeth
Discovery Day - Daytona Beach
Understanding the complex causal relationships underlying aviation accidents is critical for improving safety and preventing future incidents. However, much of this information exists in unstructured narrative reports, making large-scale analysis difficult. This project aims to automatically extract and model causal chains from National Transportation Safety Board (NTSB) accident narratives using a combination of traditional natural language processing (NLP) techniques, transformer-based architectures, and graph-based knowledge representation. Traditional NLP methods, including named entity recognition, dependency parsing, and rule-based pattern matching, will be used to identify structured cause–effect relationships. These approaches will be compared with transformer-based models, including a lightweight encoder for classification …
High-Level Trajectory Learning For Non-Prehensile Object Manipulation With Hierarchical Reinforcement Learning, Gulsum Tuba Cibuk Girgin
High-Level Trajectory Learning For Non-Prehensile Object Manipulation With Hierarchical Reinforcement Learning, Gulsum Tuba Cibuk Girgin
Discovery Day - Daytona Beach
Site exploration requires in-situ resource utilization when the physical properties of resources are unknown. Therefore, a generalizable object manipulation method is crucial for extraterrestrial environments. Existing studies develop reinforcement learning policies that enable interaction with objects, in which quadruped robots learn to reach commanded goals with one foot while balancing with the remaining legs. However, in these studies, goal-oriented task execution relies on high-level trajectories provided by human experts, which limits autonomous robotic operations. In this study, we propose a hierarchical DRL in which a high-level pedipulation policy outputs commands for a low-level reach policy, enabling autonomous, smooth and affordable …
Sequential Causal Architecture For Multimodal Aviation Accident Prediction, Kaitlyn Cavanaugh, Isaac Morrison
Sequential Causal Architecture For Multimodal Aviation Accident Prediction, Kaitlyn Cavanaugh, Isaac Morrison
Discovery Day - Daytona Beach
Aviation accidents are rarely the result of a single failure but rather from a complex causal chain of latent failures. While traditional data mining models often predict incident occurrence, they frequently overlook the sequential mechanics defined by known accident causation theoretical frameworks like the Swiss Cheese Model and the FAA's HFACS. This project addresses the need for interpretable, reliable, multi-stage forecasting by proposing a Sequential Causal Architecture that transforms theoretical causation models into a structured Directed Acyclic Graph (DAG) for multimodal accident causation chain prediction. Data from the NTSB and DOT is used and connected together in a meaningful way …
Modeling Aircraft Collision Risk Using Machine Learning And Traffic Density Data Ac, Jadia Renee Ewing, Alexander Van Baelan, Conrad Prisby, Rafal P. Smietana
Modeling Aircraft Collision Risk Using Machine Learning And Traffic Density Data Ac, Jadia Renee Ewing, Alexander Van Baelan, Conrad Prisby, Rafal P. Smietana
Discovery Day - Daytona Beach
Air traffic congestion is an increasingly important factor in aviation safety as global flight activity continues to grow. This project investigates whether higher traffic density is associated with an increased risk of aviation incidents and identifies key contributing factors. Using publicly available flight (ADS-B) and incident (NTSB) data, we apply several machine learning models to analyze traffic patterns and predict risk. We begin with logistic regression to evaluate the relationship between density and incident probability, followed by decision trees to extract interpretable rules describing high-risk conditions. K-nearest neighbors (KNN) is used to examine similarity in traffic patterns among incident flights, …
Impact Of Stress & Fatigue On Cardiovascular Function In Young Pilots: A Thematic Review, Swarna Manoj
Impact Of Stress & Fatigue On Cardiovascular Function In Young Pilots: A Thematic Review, Swarna Manoj
Discovery Day - Daytona Beach
Impact of Stress & Fatigue on Cardiovascular Function in Young Pilots: A Thematic Review Authors: Swarna Manoj, Scott Ferguson Keywords: pilot, stress, fatigue, heart rate variability (HRV), cardiovascular disease (CVD) Aviation is expanding globally and young pilots are the major workforce, yet FAA protocols require mandatory ECG only from age 35, with annual cardiac screening after age 40. Over the past five years, a pattern of sudden cardiac arrests in pilots particularly aged 30-40 has urged safety concerns. Despite the existing literature examining fatigue, burnout, stress, sleep hygiene and circadian disruption, only few studies systematically examine how these factors impact …
Advancing Aircraft Maintenance - Smart Mechanic Glasses Proposal, Diego Cordero-Rios, Ilan Soler, Ryan Mercer, Addison Groce, Ruipeng Zhao, Zimo Yang
Advancing Aircraft Maintenance - Smart Mechanic Glasses Proposal, Diego Cordero-Rios, Ilan Soler, Ryan Mercer, Addison Groce, Ruipeng Zhao, Zimo Yang
Discovery Day - Daytona Beach
Commercial aircraft maintenance is increasingly challenged by aging fleets, expanding use of composite materials, labor shortages, and rising expectations for reliability, safety, and cost-effectiveness. Modern aircraft systems demand that maintenance technicians interpret large amounts of technical data to detect complex and hidden defects while navigating limited visibility, distractions, outdated manuals, and inconsistent flows between teams. Traditionally, technicians rely on printed manuals, tablets, or laptops, which increase cognitive load and interrupt task execution, ultimately decreasing productivity, especially in confined physical spaces. Meanwhile, the use of advanced materials, such as composites, creates inspection and repair demands that are more labor-intensive and time-consuming; …
Vibration And Thermal-Vacuum Feasibility For Micro Carbon Fiber Filled Nylon Filament Lunar Applications, Andrew Murphy, Shannon O'Sullivan, Daniel Lopez
Vibration And Thermal-Vacuum Feasibility For Micro Carbon Fiber Filled Nylon Filament Lunar Applications, Andrew Murphy, Shannon O'Sullivan, Daniel Lopez
Discovery Day - Daytona Beach
The proposed work seeks to improve the fundamental understanding of the properties concerning 3-D printing filaments that have potential to be used for lunar applications. The associated properties in focus for the proposed study, vibration and thermal-vacuum-resistance, are fundamental aspects of spaceflight and are critical to mission success for objectives associated with the environmental factors in space. The successful outcome of the proposed work will answer questions relating to the feasibility of micro carbon fiber filled nylon 3-D printing filaments such as Markforged’s Onyx® for application for projects in the Space Technologies Laboratory, including for the development of structures relating …
Advancements In Spacecraft Trajectory Generation Through Matrix Decomposition Techniques, David Stoev, Oshani Jayawardane, Kaitlyn Cavanaugh, Kristiyan Stefanov, Andrew Murphy
Advancements In Spacecraft Trajectory Generation Through Matrix Decomposition Techniques, David Stoev, Oshani Jayawardane, Kaitlyn Cavanaugh, Kristiyan Stefanov, Andrew Murphy
Discovery Day - Daytona Beach
The Circular Restricted Three-Body Problem (CR3BP) is renowned for its intricate and chaotic dynamics, leaving it without a closed-form solution. In this poster, we introduce an innovative approach to determine spacecraft trajectories within the CR3BP framework using matrix factorization techniques. We formulate a matrix equation where the right-hand side vector is constructed from the spacecraft's position and velocity data, while the coefficient matrix is derived from the spacecraft's temporal data. Subsequently, we apply several matrix decomposition techniques, including modified Gram-Schmidt, the Householder technique, and Givens Rotation, to analyze the coefficient matrix and derive the spacecraft trajectories. Finally, we evaluate the …
A Myoelectric Prosthesis Utilizing A Convolutional Neural Network And Signal Processing, Hope Lea, Katherine Clark, Francis Genco, Carolyn Ascha Richardson, Tobiah Rosser
A Myoelectric Prosthesis Utilizing A Convolutional Neural Network And Signal Processing, Hope Lea, Katherine Clark, Francis Genco, Carolyn Ascha Richardson, Tobiah Rosser
Discovery Day - Daytona Beach
A Myoelectric Prosthesis Utilizing A Convolutional Neural Network and Signal Processing Commercially available myoelectric prostheses for transradial amputees utilize electromyography (EMG) sensors to observe electrical signals from superficial muscle contractions and control robotic fingers, yet often have flaws regarding adaptability and dexterity. These devices require users to learn awkward muscle patterns, as the EMG placement and gesture recognition does not consider how humans would normally think about moving their hand. Additionally, the number of available gestures is more limited, as the devices are threshold-based and do not sample enough muscles. This work seeks to address these issues by creating a …
Earthquake-Resistant Design And Base Isolation Techniques, Christian George, Jacob Sweeten, Gabriela Cotto, Savion Stewart
Earthquake-Resistant Design And Base Isolation Techniques, Christian George, Jacob Sweeten, Gabriela Cotto, Savion Stewart
Discovery Day - Daytona Beach
Earthquake-resistant design has become a critical feature in construction near active fault lines, where seismic activity is most frequent and potentially destructive. In recent years, technological advancements have significantly improved methods for protecting buildings from earthquake damage. Among these innovations, base isolation systems have appeared as one of the most effective solutions. By decoupling a building from ground motion, base isolators reduce the transmission of seismic forces, helping to prevent structural damage and support building stability during earthquakes. In addition to improving safety, base isolation systems can also reduce long-term costs associated with earthquake-related repairs and maintenance. Base-isolated structures are …
Characterization Of An Ambe Tagged Neutron Source For A 30-Ton Wbls Detector, Rylee Grover
Characterization Of An Ambe Tagged Neutron Source For A 30-Ton Wbls Detector, Rylee Grover
Discovery Day - Daytona Beach
Understanding the detection capabilities of water-based liquid scintillator (WbLS) is critical for its deployment in next-generation neutrino detectors such as THEIA and Phase II of the Deep Underground Neutrino Experiment (DUNE). This study focuses on the characterization and alignment testing of an Americium-Beryllium (AmBe) radioactive neutron source. We plan to dope the 30-ton WbLS detector at Brookhaven National Laboratory (BNL) with Gadolinium (Gd) to improve neutron detection capabilities. This will be tested by the implementation of an AmBe source as a calibration metric. The AmBe source emits neutrons coincident with a 4.4 MeV gamma ray, making it possible to perform …
Catalyst: A Unified Framework For Orbital Debris Risk, Conjunction Analysis, And Space Policy, Tyler Barr
Catalyst: A Unified Framework For Orbital Debris Risk, Conjunction Analysis, And Space Policy, Tyler Barr
Discovery Day - Daytona Beach
Catalyst is an analyst grade mission console and offline simulation service that operationalizes the Embry Riddle MIT Orbital Capacity Assessment Toolbox Monte Carlo (E-MOCAT-MC) for Space Situational Awareness (SSA) aligned assessment, connecting scenario assumptions to time tagged events, quantitative stability indicators, and evidence preserving exports. E-MOCAT-MC serves as the authoritative generator of seeded scenario runs under explicit configuration control, ingesting locally served Two Line Element sets (TLEs) and persisting each run as a structured record containing configuration data, stochastic seeds, event logs, derived metrics, and replayable artifacts for deterministic analysis. Unlike systems that primarily visualize TLEs and object tracks, Catalyst …
Lightweight Uav-To-Uav Detection And Tracking For Advanced Air Mobility Applications, Taylor Hostetter
Lightweight Uav-To-Uav Detection And Tracking For Advanced Air Mobility Applications, Taylor Hostetter
Discovery Day - Daytona Beach
Lightweight UAV-to-UAV Detection and Tracking for Advanced Air Mobility Applications addresses the significant challenge of reliable UAV-to-UAV detection on resource-constrained platforms, particularly within Advanced Air Mobility (AAM) environments where dense, low-altitude airspace requires robust detect-and-avoid capabilities. This work presents the development and experimental evaluation of a lightweight detection and tracking framework for autonomous detect-and-avoid applications. The approach is designed to support real-time onboard operation in multi-vehicle environments characteristic of emerging AAM systems. The proposed framework integrates optical and LiDAR sensing with a low-complexity machine learning decision-support layer that reduces false detections without replacing the underlying control-oriented detection pipeline. This design …
Project Minerva, Lena Wang, Gannon English, Ethan Yemm, Gabrielle Guirguis, Jose Murphy
Project Minerva, Lena Wang, Gannon English, Ethan Yemm, Gabrielle Guirguis, Jose Murphy
Discovery Day - Daytona Beach
Project Minerva is a multidisciplinary engineering initiative at Embry-Riddle Aeronautical University (ERAU) dedicated to the design, integration, and deployment of high-altitude balloon (HAB) systems for stratospheric research and aerospace hardware validation. The project challenges student researchers to engineer flight-ready payloads capable of maintaining structural and electronic integrity in extreme temperatures and low-pressure environments in the stratosphere. Typically utilizing 600g latex balloons filled with helium, Project Minerva missions aim to achieve altitudes exceeding 22,000 meters to facilitate vertical atmospheric profiling of variables such as CO₂ concentration, humidity, temperature, and pressure. Beyond its technical objectives, the project serves as a professional training …
System And Method For Detecting Subsurface Voids Using Controlled Heat Addition, Chase Nilsson
System And Method For Detecting Subsurface Voids Using Controlled Heat Addition, Chase Nilsson
Discovery Day - Daytona Beach
This study evaluates controlled heat addition in a confined space to estimate enclosed volumes for irregularly shaped spaces. The intent is to detect hidden voids in cave environments. Conventional methods for identifying such voids are often costly, logistically difficult, and limited in accuracy. Preliminary experiments were conducted with a controlled heat source, a temporary thermal barrier to isolate the test chamber, and simple temperature sensors. Temperatures were recorded for the pre-test baseline, the heating interval, followed by a cooling period. The thermal response showed clear engineering trends that warrant further exploration and modeling. Preliminary results indicate that transient temperature changes …
A Cyber-Physical Flight Simulation Platform For Real-Time Visualization Of Aircraft Dynamics And Sensor-Based Control, Gabriel Martinez, Michael Poinsett
A Cyber-Physical Flight Simulation Platform For Real-Time Visualization Of Aircraft Dynamics And Sensor-Based Control, Gabriel Martinez, Michael Poinsett
Discovery Day - Daytona Beach
Understanding aircraft dynamics through traditional simulations can be limiting, as results are often confined to screen-based visualization. This project aims to enhance learning and experimentation by creating a system where aircraft motion can be both simulated and physically observed in real time. The primary objective is to develop a cyber-physical flight simulation platform that links mathematical models with physical hardware. The system is designed to (1) represent aircraft dynamic behavior through real-time motion and (2) provide a foundation for integrating sensors and control strategies for responsive flight behavior. The platform combines aircraft dynamic models with a hardware interface capable of …
Experimental Cyber-Physical Platform For Aircraft Dynamic Response Across Subsonic To Hypersonic Regimes, Michael Poinsett, Gabriel Martinez
Experimental Cyber-Physical Platform For Aircraft Dynamic Response Across Subsonic To Hypersonic Regimes, Michael Poinsett, Gabriel Martinez
Discovery Day - Daytona Beach
Understanding how aircraft behavior changes across different flight regimes is essential for modern aerospace design, yet it is often limited to theoretical or purely computational analysis. This project aims to provide an experimental approach to visualize and study these dynamic changes in a more intuitive and practical way. The primary objective is to develop an experimental cyber-physical platform capable of representing aircraft dynamic response across a wide range of flight conditions, from subsonic to hypersonic regimes. The system is designed to (1) analyze how key dynamic parameters vary with changing conditions and (2) provide a physical representation of these effects …
The Impact Of Environmental Contributing Factors In Spatial Disorientation And Non-Spatial Disorientation Related General Aviation Accidents, Victoria Cornaro, Molly Mersinger
The Impact Of Environmental Contributing Factors In Spatial Disorientation And Non-Spatial Disorientation Related General Aviation Accidents, Victoria Cornaro, Molly Mersinger
Discovery Day - Daytona Beach
The Impact of Environmental Contributing Factors in Spatial Disorientation and Non-Spatial Disorientation Related General Aviation Accidents Spatial disorientation (SD) is an inherent risk of flying and with a high risk of resulting in a fatal accident (Gibbs et al, 2011). SD related accidents occur when a pilot’s perception of the aircraft altitude, position, or relative motion conflict with reality (Benson, 1999). SD accidents are significantly more likely to result in a fatality than non-SD cases. The purpose of this study was to investigate the role of different contributing factors on SD and non-SD general aviation accidents. We used the NTSB …
Improving Multi-Agent Swarm Collision Avoidance Using Reciprocal Velocity Obstacles, Nick Wilson
Improving Multi-Agent Swarm Collision Avoidance Using Reciprocal Velocity Obstacles, Nick Wilson
Discovery Day - Daytona Beach
As multi-agent systems grow increasingly complex, physical robotic swarms are essential to bridge the gap between limited software simulations and real-world application. The BID4R STARS swarm provides a physical platform for testing diverse algorithms, yet its success relies heavily on fundamental agent capabilities—most notably, obstacle avoidance. Preventing intra-swarm collisions is critical to avoid hardware damage and experimental disruption. To address this challenge, this project implements the Reciprocal Velocity Obstacles (RVO) algorithm onto the STARS swarm. While standard collision avoidance algorithms often overcorrect and induce oscillatory agent movement, RVO factors in the velocity and anticipated responses of all agents involved in …
Supply Chain Analysis: The Oregonator Autocatalytic Case Study, Abigail Butcher
Supply Chain Analysis: The Oregonator Autocatalytic Case Study, Abigail Butcher
Discovery Day - Daytona Beach
Understanding stability in complex supply chains remains a critical challenge due to nonlinear feedback, delayed responses, and sensitivity to parameter changes. This project presents a novel framework that applies bifurcation analysis to evaluate system stability, using the Oregonator autocatalytic chemical reaction model as an analog for supply chain dynamics. A parameter sweep of key model variables, particularly the stoichiometric factor f and the reaction rate constants k, is used to identify transitions between stable and oscillatory regimes. These transitions provide insight into how variations in feedback strength can drive instability in real-world systems. The framework will then be extended to …
Customization That Clicks: Human Factors Evaluation Of A User-Centered Vehicle Customization System, Noah Clark, Shawn Mathura, Sarah Bailey, Paul Seal, Brandon Ibarra, Kailey Hrbek, Carissa Aumack, Kevin Sun, Olivia Honan, Kelly Nguyen, Caroline Deck, Brandon D. Dreslin
Customization That Clicks: Human Factors Evaluation Of A User-Centered Vehicle Customization System, Noah Clark, Shawn Mathura, Sarah Bailey, Paul Seal, Brandon Ibarra, Kailey Hrbek, Carissa Aumack, Kevin Sun, Olivia Honan, Kelly Nguyen, Caroline Deck, Brandon D. Dreslin
Discovery Day - Daytona Beach
Older adults (OAs) and drivers with disabilities (DwDs) often encounter challenges when customizing vehicle features (e.g., seat adjustment, lighting, climate control) because existing human-machine interfaces (HMIs) may not be designed to accommodate diverse sensory, motor, and cognitive capabilities. HarmonIQ is a biometric-based, user-centered vehicle customization system designed to improve accessibility and inclusivity for OAs and DwDs, developed by Embry-Riddle Aeronautical University (ERAU) in collaboration with Bethune-Cookman University (BCU). This research, supported in part by the EcoCAR Electric Vehicle Challenge, builds on Fall 2024 proofs-of-concept and Spring 2025 initial development of HarmonIQ and its components, namely the driver profile software and …
Synchrotron X-Ray Diffraction Method For Continuous Strain Analysis Across Heterogenous Material Interface Layers, Sierra Damon
Synchrotron X-Ray Diffraction Method For Continuous Strain Analysis Across Heterogenous Material Interface Layers, Sierra Damon
Discovery Day - Daytona Beach
Synchrotron X-ray diffraction method for continuous strain analysis across heterogenous material interface layers The transfer of strain across a material interface is a relevant concept to quantify for numerous aerospace applications that involve coatings applied to substrates of different materials, particularly in the field of high temperature materials. X-ray diffraction (XRD) is a metrology technique capable of resolving strain within an arbitrary material by quantifying the shifts of Bragg peaks with respect to an unstrained sample and has seen increased use due to the capability of XRD to perform in-situ measurements on materials in extreme environments. Since different materials have …
Actionable Hydrologic Data To Information With National Water Model-Based Derived Dataset, Cutting-Edge Data Services, And Agentic Ai System, Sujan Chandra Mondol
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 …
The Influence Of Urban Form On The Distribution Of Air Pollutants, Takin Khosrownia
The Influence Of Urban Form On The Distribution Of Air Pollutants, Takin Khosrownia
Dissertations and Theses
Urban form exerts strong control on how pollution from outside a city is transported through the urban canopy and experienced at street level. This study uses the prognostic microclimate model ENVI-met to simulate an active pollutant released from an upwind rural highway and advected through an urban region represented by ten Local Climate Zone (LCZ) types. The cases share identical inflow and are isothermal, dry, and non-vegetated, so that differences among them are attributable to building morphology alone. PM2.5 is the primary exposure diagnostic. Its transport and ejection are characterized through plan-view contours, vertical plume sections, and spatially averaged streamwise …
Project 337, Kaushal Meda, Tuhin Misra, Pranav Rathi, Vraj Patel, Diivyaang Desa, Sameera Patki, Vaidehi Saini, Roy Su
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 …
Eliminating Range Constraints For Optical Tracking Of Sub-10 Cm Orbital Debris, James Kirk
Eliminating Range Constraints For Optical Tracking Of Sub-10 Cm Orbital Debris, James Kirk
Discovery Day - Daytona Beach
The growing population of orbital debris, including a significant amount of debris ranging from 1 to 10 cm, has substantially increased the risk to satellites. Due to the sheer number and high velocities, debris ranging from 1 to 10 cm still has the ability to cause mission-ending damage while remaining undetectable by ground-based detection facilities. This study utilizes the NASA Standard Satellite Breakup Model (NASA SSBM), combined with MATLAB, to propagate debris clouds over extended durations, enabling the identification of high-detection zones and debris rings. Using the modeled spacecraft environment, a satellite was positioned below the debris ring altitudes. Lowering …
Starlink-Based Navigation System For Fixed-Wing Uav, Aidan Panter, Ayse Okatan, Spencer Richter, Carson Frankovic, Faheem Khan, Eldon Crossett, Oleg Sugatov, Dylan Hardt
Starlink-Based Navigation System For Fixed-Wing Uav, Aidan Panter, Ayse Okatan, Spencer Richter, Carson Frankovic, Faheem Khan, Eldon Crossett, Oleg Sugatov, Dylan Hardt
Discovery Day - Daytona Beach
Conventional UAV navigation and control systems rely on short-range RF communication, imposing significant limitations on operational range, real-time control capabilities, and autonomous mission execution beyond visual line of sight (BVLOS). While existing research addresses regulatory frameworks, communication relay strategies, and positioning optimization for extended-range operations, a comprehensive and cost-effective solution integrating satellite-based Internet connectivity with web-accessible control remains absent from the literature. This project develops a Starlink-based navigation and control system for fixed-wing UAVs that overcomes traditional range constraints through low-earth orbit satellite and cell network connectivity. The system integrates a Starlink terminal with an onboard flight computer running custom …
Human Factors And Passenger Survival In Aircraft Emergency Evacuations, Anjelysa Oleszewski, Adam Dvorak, Anthony Bulko, Christopher Lee, Nicholas Murphy
Human Factors And Passenger Survival In Aircraft Emergency Evacuations, Anjelysa Oleszewski, Adam Dvorak, Anthony Bulko, Christopher Lee, Nicholas Murphy
Discovery Day - Daytona Beach
In the event of an emergency where evacuation of the aircraft is necessary, passengers have 90 seconds to locate their nearest exit and egress as safely and quickly as possible. However, news outlets have reported multiple occurrences of passengers evacuating and taking their belongings with them during this decade. The root of this hazard occurs in multiple areas of flight, particularly during safety briefings and during emergency evacuations. The purpose of this project is to focus on improving passenger knowledge of safety features such as exit door locations through digital mediums and strengthen deliverance of life-saving information. The project shares …
Classification Of Sequential Factors In Aviation Accident Cause Prediction, Sophia Nasca, Addyson Wolfe
Classification Of Sequential Factors In Aviation Accident Cause Prediction, Sophia Nasca, Addyson Wolfe
Discovery Day - Daytona Beach
Uncovering the root causes of aviation accidents is a critical component of improving aviation safety. Traditional approaches are largely reactive, relying on post-incident analysis rather than proactively identifying risk factors. This project addresses the need for proactive safety by using a multi-source dataset that integrates aviation accident records, weather conditions, and maintenance data extracted from investigative reports. The objective of this work is to move beyond predicting broad probable causes and instead model the sequence of contributing factors that lead to aviation incidents. Using the Swiss Cheese Model, the study will capture layered failures across operational, environmental, and maintenance domains. …