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End-Effector Stabilization Of A Robotic Arm Using Model Predictive Control, Jasmine Nakladov May 2026

End-Effector Stabilization Of A Robotic Arm Using Model Predictive Control, Jasmine Nakladov

Discovery Day - Daytona Beach

As robots become increasingly capable of navigating difficult terrains, their ability to perform tasks requiring precise manipulation while maintaining mobility has continued to be an area of interest. One of the most common configurations of such robots is the combination of a quadrupedal base with a mounted manipulator arm that can perform complex tasks. However, stable manipulation becomes a challenge with this configuration due to disturbances introduced by the robot’s gait. Inspired by “chicken-head” stabilization, this project aims to investigate the effectiveness of Model Predictive Control (MPC) in maintaining a stable end-effector of a robotic arm mounted on a quadruped …

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Impact Of Respiratory Muscle Training And Nitrate Therapy On Exercise Tolerance In Hypoxia, Danielle Norris May 2026

Impact Of Respiratory Muscle Training And Nitrate Therapy On Exercise Tolerance In Hypoxia, Danielle Norris

Discovery Day - Daytona Beach

This investigation explores the combined effects of respiratory muscle training (RMT) and dietary nitrate supplementation on exercise performance at sea level and at simulated altitudes. The study aims to understand the correlation between exercise intolerance, acute mountain sickness (AMS), and the redistribution of blood flow from skeletal muscles to respiratory muscles during high-intensity exercises and at high altitudes. We will test the effects of RMT and dietary nitrate supplementation on muscle tissue oxygenation, vascular endothelial function, and exercise tolerance. The study has two main objectives: First, we will assess the effects of six weeks of RMT on muscle tissue oxygenation …

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Mapping Inundation Extent In Middle St. Johns Lakes Floodplains Using Sar Data: Investigating Stage-Area Hysteresis In Flood Dynamics, Keenan Hubbard May 2026

Mapping Inundation Extent In Middle St. Johns Lakes Floodplains Using Sar Data: Investigating Stage-Area Hysteresis In Flood Dynamics, Keenan Hubbard

Discovery Day - Daytona Beach

Flooding dynamics in floodplains can be complex, with hysteresis potentially influencing the temporal relationship between river gage readings and the extent of floodwaters. This study uses Sentinel-1 SAR imagery to map floods in the Lake floodplains in the Middle St. John's River and investigates the potential presence of hysteresis during flood events. SAR scenes, each corresponding to analogous river gage readings, are analyzed—from a receding flood and from a rising flood. By comparing the resulting flood maps, we evaluate how the flooded area differs at each stage of the flood event. This research aims to contribute to flood monitoring systems …

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Effect Of Vehicular Electrification On Air Quality In Florida, Shreya Sapkota Dhakal May 2026

Effect Of Vehicular Electrification On Air Quality In Florida, Shreya Sapkota Dhakal

Discovery Day - Daytona Beach

Vehicular emissions from fuel-based passenger cars emit an array of gases and particles that are detrimental for human health and the environment. In that regard, electric vehicles (EVs) present a viable, sustainable solution. This study investigates the impact of electrification of passenger cars on air quality in Florida, in five major urban counties namely Miami-Dade, Duval, Hillsborough, Orange, and Leon. Between 2018 and 2022, these counties experienced a significant increase of 217.68% ± 52.11% in EV adoption, coupled with a 11.56% ± 6.23% decrease in fuel-based vehicle usage. Herein, we characterize five pollutants primarily generated from fuel-based passenger vehicles- carbon …

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Analyzing Safety Performance In Distracted Driving Behavior, Paulo Carreon, Nolan J. Metz May 2026

Analyzing Safety Performance In Distracted Driving Behavior, Paulo Carreon, Nolan J. Metz

Discovery Day - Daytona Beach

With advances in technology throughout the course of time, distracted driving is at an all-time high in the United States. Even with high numbers, distraction is likely under reported because the behavior is difficult to detect during crash investigation, and police reports likely understate its incidents. Transportation safety is facing new challenges on the roadways. According to NHTSA’s newest analysis of 2021 fatal crash data, fatalities in distraction-affected crashes increased by 12% from 2020 to 2021, a total of 8.2% of all fatalities reported. Driving safely is always the priority and requires a wide range of skills. Drivers’ performances can …

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Homomorphic Encryption-Based Federated Learning For Cavs, Jessica Christa Wira Hadipoernomo May 2026

Homomorphic Encryption-Based Federated Learning For Cavs, Jessica Christa Wira Hadipoernomo

Discovery Day - Daytona Beach

The rise of Connected and Autonomous Vehicles (CAVs) has led to a rapid increase in privacy-sensitive driving data, requiring secure and efficient learning frameworks. Federated Learning (FL) enables collaborative model training without sharing raw data. However, FL remains vulnerable to inference attacks, model poisoning, and data breaches, requiring additional privacy safeguards. Among various privacy-enhancing mechanisms, Homomorphic Encryption (HE) stands out as a promising solution, enabling computations on encrypted data while ensuring confidentiality throughout the FL process. This research provides a comprehensive review of HE-based FL for CAVs, covering HE schemes, optimization techniques, practical limitations, and hybrid privacy-enhancing approaches. Additionally, we …

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Modeling A Potential Secondary Catastrophic Disruption Of The Veritas Asteroid Family, Jarrett Dieterle May 2026

Modeling A Potential Secondary Catastrophic Disruption Of The Veritas Asteroid Family, Jarrett Dieterle

Discovery Day - Daytona Beach

The Veritas asteroid family is a collection of asteroidal bodies found in the outer region of the main asteroid belt. The family's age has been estimated to be around 8 million years, and it was formed after the catastrophic breakup of a parent asteroid. After this breakup, the dust formed into apparent bands that are seen at infrared wavelengths at which Infrared Astronomical Satellite (IRAS). From the data extracted from IRAS mapped the sky. The dust bands are a fine structure component of the cloud that can be extracted using Fouier-filtering techniques. The filtered data shows peaks located at about …

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Examining The Implications Of Incorporating Ai As A Teammate In Aviation: Trends, Challenges, And Future Directions, Aarohi Srivastava, Hunter Ackermann May 2026

Examining The Implications Of Incorporating Ai As A Teammate In Aviation: Trends, Challenges, And Future Directions, Aarohi Srivastava, Hunter Ackermann

Discovery Day - Daytona Beach

In the aviation industry, the incorporation of automation has caused a shift in humans’ roles from operators to observers. The increasing use of artificial intelligence (AI) in this field marks another significant shift from simply using it as an informative tool to using it as an active partner in flight operations. To increase safety and efficiency, studying human-AI interaction provides critical insight on how to optimize the relationship between dynamic team members. This paper discusses the current literature on incorporating AI as a teammate in aviation. A literature review of relevant topics was conducted and analyzed for common themes. Results …

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Transcription Methodology For Soteria Simulator Scenarios, Joseph O'Brien, Inga Agustsdottir May 2026

Transcription Methodology For Soteria Simulator Scenarios, Joseph O'Brien, Inga Agustsdottir

Discovery Day - Daytona Beach

Understanding resilient performance in routine operations depends upon exploring new data sources to capture positive performance. The NASA SOTERIA test bed was used to conduct seventy-two simulated descent and approach sequences, into Charlotte Douglas International Airport, using six different scenarios with twelve flight crews. Audio and video recordings of the flights were captured. Processing of the audio content for further analysis was conducted. Transcription of the recorded audio involved a multi-step process using both human and automated transcription to prepare the data for further analysis. The methodology described in this paper applies to recording and processing of any audio data, …

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Project S-Tax - Creation Of A System Taxonomy For Space Vehicles And Operations, Christine Portanova, Jarod Knauer May 2026

Project S-Tax - Creation Of A System Taxonomy For Space Vehicles And Operations, Christine Portanova, Jarod Knauer

Discovery Day - Daytona Beach

Due to the rapidly changing space vehicle industry and the explosive growth in technology, access to space has been made more prevalent than ever. Currently, collaborative efforts exist to organize information about space systems, instruments, and technologies. Coupled with the quick pace from industry stakeholders, this innovative period has created a gap in knowledge of the classifications of space vehicles. This project aims to develop a comprehensive overview of space vehicles, organized in a taxonomy style. We seek to fill these knowledge gaps through subject matter expert consultation, the development of a systematic literature review, and the integration and consolidation …

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Using Discrete Event Simulation To Optimize Flight Dispatch Routes, Joshua B. Mcgurn May 2026

Using Discrete Event Simulation To Optimize Flight Dispatch Routes, Joshua B. Mcgurn

Discovery Day - Daytona Beach

While flight is among the most important methods of travel over long distances, it is also among the most subject to delays; thus, much effort has been put into ensuring airport operations run smoothly. Though there have been many attempts to streamline operations within the airport itself, less attention has been given to optimizing aircraft movement and dispatching on ramps, taxiways, and runways. Part of the reason for this is the randomness and complexity of aircraft movement, making standard modeling techniques difficult and ineffective. This research has utilized discrete event simulation software (SIMIO) to model the ramp and runway operations …

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Uncrewed Aerial Applications Of Precision Agriculture, Sriram Rajamani May 2026

Uncrewed Aerial Applications Of Precision Agriculture, Sriram Rajamani

Discovery Day - Daytona Beach

This capstone project will encompass the use of uncrewed aerial vehicles to detect pathogens and diseases at an early stage and taking corrective measures avoiding losses. Precision agriculture integrates technology to promote sustainable farming, with crop monitoring providing agricultural researchers and engineers reliable insights into crop health and damage. The purpose of this research is to show efficient crop health monitoring with the use of autonomous technology, in this case an uncrewed aircraft with an RGB (red-green-blue) camera as the payload. To tell whether plants are infected with such diseases, physical discrepancies like holes can be shown easily from the …

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Learning Rock Pushability On Rough Planetary Terrain, Gulsum Tuba Cibuk Girgin, Emre Girgin May 2026

Learning Rock Pushability On Rough Planetary Terrain, Gulsum Tuba Cibuk Girgin, Emre Girgin

Discovery Day - Daytona Beach

Obstacle avoidance is a critical aspect of autonomous mobile robot navigation, particularly in dynamic and static environments. However, traditional avoidance strategies often increase travel time or render traversal impossible, which is problematic in scenarios requiring repeated navigation, such as planetary sample return missions, post-disaster search and rescue, or hazardous environments like nuclear power plants. A more efficient alternative is to manipulate and remove easily displaceable obstacles. Manual intervention, such as astronaut-led operations, is time-consuming, diverts focus from primary tasks, and can be hazardous. Autonomous robotic manipulation offers a solution but introduces challenges in determining whether an obstacle is relocatable based …

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Meta-Learned Keypoint Recovery For Vio In Space Robotics, Emre Girgin May 2026

Meta-Learned Keypoint Recovery For Vio In Space Robotics, Emre Girgin

Discovery Day - Daytona Beach

This project proposes a robust framework for enhancing visual-inertial odometry (VIO) in autonomous space surface robots operating in challenging conditions, such as the Moon's dimly lit terrain or Martian dust storms. In such environments, traditional vision-based systems encounter difficulties due to the presence of poor visual features. The proposed system integrates few-shot meta-learning with keypoint detection, enabling real-time adaptation to sparse or obscured visual inputs. This approach leverages minimal training data to identify geometrically consistent landmarks and restore missing keypoints when sensor performance is compromised. The approach is integrated within a tightly coupled inertial-vision framework, which combines probabilistic IMU pre-integration …

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Requirements Elicitation For Machine Learning Applications: A Research Preview, Timothy Elvira May 2026

Requirements Elicitation For Machine Learning Applications: A Research Preview, Timothy Elvira

Discovery Day - Daytona Beach

The development of software systems is preceded by an important first phase, requirements elicitation, wherein developers establish the intended functionality of a system to be developed in a series of interviews with a customer. These requirements can often be raw, requiring refinement in an iterative process. Traditional software requirements are of the form ‘The system shall…’, where each requirement is written to be clear, concise, consistent, complete, testable, and traceable through development. Because ML is stochastic, or uncertain, in the face of unseen data, ML behavior cannot be precisely defined. As such, it is posited that software requirements specific to …

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Quadcopter Uav Control Systems Using A Robust Nonlinear Framework, E.O. Ijoga May 2026

Quadcopter Uav Control Systems Using A Robust Nonlinear Framework, E.O. Ijoga

Discovery Day - Daytona Beach

This work presents a robust nonlinear control framework for a Tilt - Rotor Quadcopter (TRQ) system, addressing challenges associated with model uncertainties and external disturbances. The proposed nonlinear control strategy is shown to achieve reliable trajectory tracking performance in the presence of external disturbances. The control method is based on the robust integral of the sign of the error (RISE) control method, which is modified to address the control challenges inherent in TRQ dynamic model. To the best of the authors’ knowledge, this is the first result that applies a RISE-based nonlinear control method to a TRQ system. A challenge …

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How Low Can You Go: How Low Can You Go: Exploring The Extreme Mass Ratio Of Binary Massive Exploring The Extreme Mass Ratio Of Binary Massive Stars, Erin Abraham May 2026

How Low Can You Go: How Low Can You Go: Exploring The Extreme Mass Ratio Of Binary Massive Exploring The Extreme Mass Ratio Of Binary Massive Stars, Erin Abraham

Discovery Day - Daytona Beach

We present an analysis of seven massive stars in the young, active star-forming region M17 using data from the SPHERE instrument on VLT. Using SPHERE’s simultaneous dual-band imaging and integral field spectrograph, we detected potential companions for all seven target stars and measured the position angle, angular separation, and contrast magnitude for each potential companion. The potential companions had contrast ratios ranging from 5 to 13 mag in the infrared

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Double Star Detection Software - False Positive Elimination, Lindsay Spence May 2026

Double Star Detection Software - False Positive Elimination, Lindsay Spence

Discovery Day - Daytona Beach

A double star, also known as a binary star, is a system in which two stars orbit around a shared center of mass. According to NASA, more than half of all stars in the sky belong to such multi star systems. Detecting binary stars is essential for understanding stellar evolution and the broader universe. Astronomers use satellites and ground-based telescopes to collect data used to discover binary stars. This research poster focuses on the Observed Minus Calculated (O-C) Method, which is primarily used for stars that vary in brightness over time. The method works by comparing observed brightness variations to …

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Hypersonic Propulsion System Design, Gus Gatti, Nico Guido May 2026

Hypersonic Propulsion System Design, Gus Gatti, Nico Guido

Discovery Day - Daytona Beach

A propulsion system featuring two mixed-flow low-bypass turbofan engines (LBTF) and one ramjet engine was designed to satisfy a specified mission, which included a supersonic cruise at Mach 2.5 and a hypersonic dash at Mach 5 under ramjet power. A preliminary constraint and mission analysis was performed to determine each of the engine's performance characteristics and define the thermal cycle. Subsonic and supersonic inlets were designed, and the diffuser flow health was validated using Sovran and Klomp plots for both engines. Nozzles were designed for both engines, and viscous, angularity, and pressure losses were considered. Compressor and turbine stages were …

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China Airlines Flight 006, A Case Study Using The Hfacs Framework, Gavin Weinheimer, Brain Zhou May 2026

China Airlines Flight 006, A Case Study Using The Hfacs Framework, Gavin Weinheimer, Brain Zhou

Discovery Day - Daytona Beach

The Human Factors Analysis and Classification System (HFACS) is an accident analysis framework that helps accident investigators to systematically process information. The HFACS framework focuses on human errors both on the frontline IE pilots, flight attendants and maintenance personnel; and higher up in the organizational chain with management all the way up to the chief pilot and CEO. Using this framework the China Airlines flight 006 incident will be analyzed to better understand not just what happened but why the flight crew was unprepared for the engine failure and how to avoid possible future incidents of this nature. Findings of …

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Identifying Factors Contributing To Spatial Disorientation (Sd) In Fatal Aviation Cases, Alexander Van Baelan, Belinda Tello, Katherine Campbell May 2026

Identifying Factors Contributing To Spatial Disorientation (Sd) In Fatal Aviation Cases, Alexander Van Baelan, Belinda Tello, Katherine Campbell

Discovery Day - Daytona Beach

Spatial Disorientation (SD) is a critical issue in aviation safety, contributing to numerous fatal accidents. Pilots experiencing SD lose their ability to perceive position, motion, and altitude, often leading to catastrophic outcomes. This study investigates the risk factors most associated with fatal SD events, focusing on environmental, personnel, and aircraft-related factors. The analysis uses a dataset from the National Transportation Safety Board (NTSB), covering 2,708 fatal accidents from 2008 to 2021. The research examines event characteristics, accident events, and flight phases to identify patterns in SD fatalities. Based on the analyzed data, environmental factors, particularly adverse weather and low visibility, …

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Investigation Of Laplace Tidal Equations, Ian Donnelly May 2026

Investigation Of Laplace Tidal Equations, Ian Donnelly

Discovery Day - Daytona Beach

We consider the general tidal forces on Earth, which leads to the tidal potential. This leads to the governing equations used in a shallow-water model to predict tides, the so-called "Laplace Tidal Equations" for tidal flow described as a barotropic two-dimensional sheet flow. We numerically simulate these Laplace Tidal Equations by solving PDEs in Python.

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Internal Fluid Dynamics Of Oil And Gas Reservoirs, Christopher Miller May 2026

Internal Fluid Dynamics Of Oil And Gas Reservoirs, Christopher Miller

Discovery Day - Daytona Beach

This project aims to explore the mathematical principles governing the fluid dynamics of underground oil and gas reservoirs. Within the field of petroleum engineering there are many different variables and factors that change the way fluid within petroleum reservoirs behaves. Mathematical models can be developed using what we know about fluid dynamics and other areas of study to predict how fluids within reservoirs behave, making research like this very important to industry applications.

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Genetic Association Of Alzheimer's Markers, Annelise Beauchamp May 2026

Genetic Association Of Alzheimer's Markers, Annelise Beauchamp

Discovery Day - Daytona Beach

This project will investigate the relationship between genetic variants and susceptibility to Late Onset Alzheimer’s. By leveraging publicly available datasets that show statistically significant associations between genetic markers and disease occurrence, this project will contribute to a deeper understanding of how specific genetic factors contribute to a disease.

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The Rhetoric Of Airline Safety After Major Incidents, Martyna Wojcik May 2026

The Rhetoric Of Airline Safety After Major Incidents, Martyna Wojcik

Discovery Day - Daytona Beach

Airline accidents are pivotal events that not only test the safety frameworks of the aviation industry but also challenge how airlines manage their public image. Rhetoric by airlines in the wake of major incidents plays a vital role in setting public perception about airline safety and corporate accountability. Airlines respond differently to accidents and use different strategies to manage public perception, influenced by whether the crash stemmed from human error or technical failure. This research investigates three study cases: the Germanwings Flight 9525, Lion Air Flight 610, and Ethiopian Airlines Flight 302 crashes for interpreting how airlines frame crisis discourse …

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Cerpa: A Cost-Effective Retarding Potential Analyzer For Cubesat And Sounding Rocket Platforms, Megan Soll, Johnathon Bizzano, Harley Goulet, Ethan Fajardo May 2026

Cerpa: A Cost-Effective Retarding Potential Analyzer For Cubesat And Sounding Rocket Platforms, Megan Soll, Johnathon Bizzano, Harley Goulet, Ethan Fajardo

Discovery Day - Daytona Beach

Understanding plasma dynamics in Low Earth Orbit (LEO) is critical for atmospheric studies and space mission planning. Retarding Potential Analyzers (RPAs) provide valuable plasma diagnostics by measuring ion energy distributions, offering broader plasma state characterization compared to Langmuir probes, albeit with some trade-offs in precision. This senior design project aims to develop a cost-effective RPA (CERPA) that is rapidly producible and multi platform optimized for CubeSats, sounding rockets, and laboratory plasma chambers. This effort builds on the existing Mid-Area RPA from Plasma Controls, with a focus on developing a new electrical system and miniaturizing the sensor body to meet spaceflight …

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Genetic Scheduling Algorithm For Pilots, Owen Mudgett May 2026

Genetic Scheduling Algorithm For Pilots, Owen Mudgett

Discovery Day - Daytona Beach

Scheduling is an intricate problem that encompasses fields like nursing, first responders and pilots. A private company that flies a fleet of 270 jets is looking to improve their current schedule-generating process. This project aims to make a genetic algorithm capable of fast generation of optimized schedules for the company’s pilots. The goal of such an algorithm is to have schedules that both meet work demands while also prioritizing preferences and happiness of the pilots being scheduled. Research on the topic of scheduling algorithms was placed on examples such as the nurse scheduling problem, as many techniques from these types …

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“Keep Them Flying” - A Work Analysis Of A Usaf Logistics Ssgt And Associated Work-Related Musculoskeletal Disorders, Donald Seeterlin May 2026

“Keep Them Flying” - A Work Analysis Of A Usaf Logistics Ssgt And Associated Work-Related Musculoskeletal Disorders, Donald Seeterlin

Discovery Day - Daytona Beach

This case study analyzed ergonomic concerns within the field of logistics in the United States Air Force using Alberto, a 27-year-old Staff Sergeant. Alberto is a physically fit individual who experiences consistent lumbar and knee pain resulting from his job duties. A work analysis included a hierarchical task analysis, the Body Part Discomfort Survey, the Rapid Entire Body Assessment (REBA), the Moore-Garg Strain Index (MGSI), and a Psychosocial Factors Analysis. Analysis revealed an extremely poor working environment which is conducive to Work-Related Musculoskeletal Disorders (WMSDs) and burnout. Based on these findings and current literature the following recommendations were made: The …

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Ergonomic Risk Assessment Of Drywall Installer, Holden Campbell May 2026

Ergonomic Risk Assessment Of Drywall Installer, Holden Campbell

Discovery Day - Daytona Beach

This research explores the ergonomic risks associated with drywall installation, focusing on Bill Campbell, a retired drywall installer who developed bursitis in his shoulder due to repetitive lifting, awkward bending and overhead work. His occupation required carrying heavy drywall panels, climbing ladders and maintaining uncomfortable postures for extended periods of time. Using two ergonomic risk assessment tools: the Rapid Entire Body Assessment (REBA) and the NIOSH Lifting Equation. A score of 12 on the REBA analysis indicated a strong likelihood of musculoskeletal disorders (MSDs) due to extreme posture and heavy lifting. Furthermore, the NIOSH Lifting Equation revealed a lifting index …

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The Risks Of Working As A Delivery Driver: A Case Study, Mackenzie Seaman May 2026

The Risks Of Working As A Delivery Driver: A Case Study, Mackenzie Seaman

Discovery Day - Daytona Beach

Sometimes, the workplace has demanding tasks that may not fit the person working on them. This case study follows S., a retired veteran, during his work as a delivery driver for Keurig Dr. Pepper, where he faces significant physical demands. He was meant to deliver 21,000 pounds of soda to many different stores per day, often by himself. Additionally, his job required long hours, repetitive movements, and high exertion despite his lean build. Using anthropometric analysis, a Body Discomfort Survey, and workload assessments, it was found that most of the tasks S. was required to perform were too anthropometrically challenging …

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