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Articles 59551 - 59580 of 5152511
Full-Text Articles in Entire DC Network
Starlink-Based Navigation System For Fixed-Wing Uav, Aidan Panter, Spencer Richte, Ayse Okatan, Dylan Hardt, Oleg Sugatov, Eldon Crossett
Starlink-Based Navigation System For Fixed-Wing Uav, Aidan Panter, Spencer Richte, Ayse Okatan, Dylan Hardt, Oleg Sugatov, Eldon Crossett
Student Research Symposium (SRS)
Current Unmanned Aerial Vehicle (UAV) navigation and control systems in place for contemporary drones are mainly directed through Short Range Radio Frequency communications. The shortcoming of this technology is that it imposes limitations on UAV operational ranges as well as web-based controls. Currently, there are no UAVs that can provide a unified web-based platform for navigation and control to its users through an internet connection and our goal is to develop this platform. The proposed system combines satellite internet services via a Starlink Mini satellite terminal with a specially designed airframe capable of long-range UAV control via internet-enabled interfaces. In …
Experimental Validation Of Torricelli’S Law Using Dual Tank Geometries, Utkarsh Ravi, Zarif Naimul
Experimental Validation Of Torricelli’S Law Using Dual Tank Geometries, Utkarsh Ravi, Zarif Naimul
Student Research Symposium (SRS)
This project investigates Torricelli’s Law, a fundamental principle in fluid mechanics that relates the velocity of fluid exiting an orifice to the height of the fluid above the opening. The experiment compares the drainage rates of two vertical tanks with different diameters but identical outlet sizes, isolating the influence of tank cross-sectional area on flow behavior. Each tank is filled to the same initial height, and water level versus time data are collected as the tanks drain under gravity. Using differential equation modeling and separation of variables, theoretical predictions are derived and compared to experimental results. Data analysis focuses on …
Erau Roboracer, Carmen Dimario, Ihan Ventura, Austin Rollfing, Michael Ulivarri, Daniel Minks
Erau Roboracer, Carmen Dimario, Ihan Ventura, Austin Rollfing, Michael Ulivarri, Daniel Minks
Student Research Symposium (SRS)
ERAU RoboRacer's autonomous racing presents unique challenges for real-time decision-making, requiring vehicles to operate at the limits of performance while maintaining safety in dynamic environments. It aims to create a 1:10-scale autonomous race car that integrates perception, planning, and control to compete in RoboRacer competitions while serving as a research platform for high-speed autonomy. The system fuses data from LiDAR, cameras, and IMU sensors to perform simultaneous localization and mapping, detect obstacles and competitors, and plan optimal racing lines for both time-trial and head-to-head racing. Control is achieved through a hybrid approach combining pure pursuit, PID velocity control, and model …
Improving The Safety And Performance Of Rotating Machinery In Steam Turbines, Gabrielle Avendt, Paulo Da Silva, Gillian Negron Burgos, Mason Arnold
Improving The Safety And Performance Of Rotating Machinery In Steam Turbines, Gabrielle Avendt, Paulo Da Silva, Gillian Negron Burgos, Mason Arnold
Student Research Symposium (SRS)
In this research, we are planning to explore steam turbine mechanisms, applications, advantages, limitations, and future trends. Disciplines such as dynamics, thermodynamics, fluid mechanics, materials science, and heat transfer all come together in the operation of a steam turbine to convert thermal energy into mechanical work. Steam turbines are used on board aircraft carriers, submarines, civilian ships, and power plants to produce propulsion and electricity. Steam turbines are highly efficient, durable and capable of maintaining constant speed and load. However, their complexity, high cost, strict water-chemistry requirements, and reliance on skilled operators make them demanding systems to manage. The future …
Modeling The Gravitation Field Of M85 Using Newtonian Physics And 3d Vector Fields In Matlab, Jeffery Smothermon, Jose Murphy, Allen Perry, Jamie Shore, Caden Mosteller, Jose Pons
Modeling The Gravitation Field Of M85 Using Newtonian Physics And 3d Vector Fields In Matlab, Jeffery Smothermon, Jose Murphy, Allen Perry, Jamie Shore, Caden Mosteller, Jose Pons
Student Research Symposium (SRS)
This project explores the gravitational field of the supermassive blackhole M87, using multivariable calculus and Newtonian physics. The gravitational field is treated as a three-dimensional gravitational field vector, derived from Newton’s universal law of gravitation, assuming the black hole as a point mass: g(x,y,z)=-∇Φ=G*M*(R/|R|^3) Where G is the gravitational constant, M is the mass of the black hole, and R is the radial vector from a particle to the center of the black hole. To overcome the inaccuracy of Newtonian Gravitation of black holes, the Schwarzschild radius is implemented to omit parts of the blackhole that are past the event …
Modeling Temperature Variation Across Regions Using Multivariable Calculus, Jacob Sweeten, Angel Velazquez, Benjamin Katz, Miles Melichar, Mckenzi Hallenback, Chirag Kumar
Modeling Temperature Variation Across Regions Using Multivariable Calculus, Jacob Sweeten, Angel Velazquez, Benjamin Katz, Miles Melichar, Mckenzi Hallenback, Chirag Kumar
Student Research Symposium (SRS)
Temperature across a state changes with factors such as latitude and elevation, making it a perfect example of how a function can depend on more than one variable. Our team’s project looks at temperature as a multivariable function that can be studied using concepts from Calculus III, such as double integrals. We’re using Colorado as our model because its mountainous terrain and regional changes give clear temperature differences to analyze. The goal is to build a simple equation for temperature, T(x,y), that shows how it changes across the state and visualize those patterns with gradient fields and level curves. While …
The Use Of Descent Gradients In Ai Learning Models, Alexander Wheeler
The Use Of Descent Gradients In Ai Learning Models, Alexander Wheeler
Student Research Symposium (SRS)
AI learning models use mathematical techniques to effectively minimize errors and improve prediction accuracy. Essential to these techniques is the use of the gradient descent, which outputs the correct way to adjust the model’s parameters to most effectively minimize error. The gradient descent is applied at the point of error produced by the program’s loss-function, a multi-variable function that mathematically represents the magnitude of error. This paper focuses on the implementation of the gradient descent, and its optimization of updating the models’ parameters. Multiple types of loss functions are examined, such as squared error and cross-entropy, and their influence on …
Phaëthon System, Brady Roudabush, Emelia Thompson, Lauren Gallo, Hannah Pineau, Ajay Jacob, Jacob Woods
Phaëthon System, Brady Roudabush, Emelia Thompson, Lauren Gallo, Hannah Pineau, Ajay Jacob, Jacob Woods
Student Research Symposium (SRS)
Thousands of people go missing each year in forested areas under dense canopies where visibility is limited to search and rescue efforts. The current search and rescue (SAR) drone industry uses large drones with heavy thermal imaging equipment to look for missing persons overhead, but struggles to look through dense forests efficiently, endangering responders by sending them into uncharted territory. Unlike traditional SAR drones, the Phaëthon System will improve the current SAR drone industry by using a swarm of drones that can map up to 70 meters ahead of the drone efficiently, while increasing responder safety. A command drone observes …
Piezoelectric Flooring For Runways And Taxiways, Ernesto Calderon Gonzalez, Zoey Young, Kinga Wysocka, Chang Han Wu, Fabrio Araujo, Jeremy Nahuel
Piezoelectric Flooring For Runways And Taxiways, Ernesto Calderon Gonzalez, Zoey Young, Kinga Wysocka, Chang Han Wu, Fabrio Araujo, Jeremy Nahuel
Student Research Symposium (SRS)
Piezoelectric Technology in Runways and Taxiways Professor Ehringer Lucas, Claudia M. An average airport uses significant amounts of electricity, with large and medium size airports reaching over 150,000 MWh of energy costing approximately $20.4 million per year. Piezoelectric technology can be a passive source of income to alleviate the cost of maintaining airport activity. This technology has many applications, and one of the most common applications of piezoelectric technology is in the form of tiles. An example of the tiles in use would be in the Shibuya station, which generates electricity through piezoelectric’s. The piezoelectric effect, by definition, is the …
Aeolus - Hydrogen Fueled Uav, Kristofer Mcdaniel, Jillian Yates, Blake Diamond, Robert Durham, Anastasia Meremianin, Nathan Dube
Aeolus - Hydrogen Fueled Uav, Kristofer Mcdaniel, Jillian Yates, Blake Diamond, Robert Durham, Anastasia Meremianin, Nathan Dube
Student Research Symposium (SRS)
Aeolus 6 – Tornado Prediction System Tornadoes in the US are becoming stronger and forming farther northeast, threatening cities that were previously unaffected. The response to this growing problem is Aeolus, a hydrogen-powered, unmanned aerial vehicle (UAV) that is designed to fly into supercells and collect data with a multitude of sensors, to predict tornado paths more accurately, and send out evacuation warnings earlier. Aeolus will have eight sensors on board, including Black Swift Technologies' 3D multi-hole probe, VectorNav 200/300, IMU Nav. 200, Pixhawk GPS, and MLite 9210 Data Logger. These sensors will collect data on wind speed, pressure, and …
Surface And Subsurface Mapping Drone, Matthew Perkins, Aayan Mehra, Garrett Jarvis, Samuel Mago, Nicholas Christianson
Surface And Subsurface Mapping Drone, Matthew Perkins, Aayan Mehra, Garrett Jarvis, Samuel Mago, Nicholas Christianson
Student Research Symposium (SRS)
The Surface and Subsurface Mapping Drone (SSMD) is an extraterrestrial drone that will map the Martian surface and subsurface using a combination of LiDAR and Ground Penetrating Radar (GPR). When designed, the SSMD was inspired by NASA’s ingenuity helicopter, the first unmanned drone to fly in Mars’ atmosphere. Similar to Ingenuity, the SSMD will be made of mostly lightweight materials such as aluminum and carbon fiber. These materials will provide the drone with the necessary strength to carry its own weight, while also keeping its mass as low as possible so that it can fly in Mars’ ultra-thin atmosphere. However, …
Modeling The Dynamical Behavior Of Near-Earth Dust Using Simulated Fraunhofer Line Observations, Henry Sanders
Modeling The Dynamical Behavior Of Near-Earth Dust Using Simulated Fraunhofer Line Observations, Henry Sanders
Student Research Symposium (SRS)
Understanding how asteroidal and cometary debris evolves and travels through the inner Solar System is critical for predicting impact risks and maintaining the safety of orbital infrastructure. Particles of all sizes and sources pose significant hazards to satellites operating in near-Earth and cislunar space. As such, modeling and analyzing how small asteroidal and cometary particles evolve over time under the influence of gravitational and non-gravitational perturbations is key to ascertaining this threat. Building upon previous Studies (e.g., Reynolds et al., 2004), we investigate and model the dynamical behavior of debris particles within the inner Solar System for comparison to observations …
Systemic Dehumanization In The Dprk: A Human Security Analysis, Aleksandria Pavlenko
Systemic Dehumanization In The Dprk: A Human Security Analysis, Aleksandria Pavlenko
Student Research Symposium (SRS)
This paper examines personal security in North Korea, or the Democratic People’s Republic of Korea (DPRK). The case of DPRK shows how individual safety, dignity, and freedom are jeopardized in one of the most oppressive and militarized regimes of the world. Informed by scholarship, this case study shows how the oppressive tools of control, namely the system of ideological dominance, the caste-like songbun hierarchy, and the ubiquitous surveillance system, systematically dehumanize the population of North Korea. For the most part, the DPRK regime of control is an instance of structural violence, which uses psychological and emotional means of manipulation to …
Reinforcement Learning - Driven Satellite Attitude Recovery: Unknown Faults, Simulation-To-Processor In Loop, Chinmay Mirji, Saeed A Ahmadi
Reinforcement Learning - Driven Satellite Attitude Recovery: Unknown Faults, Simulation-To-Processor In Loop, Chinmay Mirji, Saeed A Ahmadi
Student Research Symposium (SRS)
Conventional attitude control algorithms often degrade when faced with actuator faults, sensor noise, or system uncertainties. This work presents a reinforcement-learning (RL) framework for satellite attitude recovery under unknown failures, focusing on real-time deployment through a processor-in-the-loop (PIL) setup. A continuous-control DDPG agent is trained in a high-fidelity Python/Basilisk simulation environment, where domain randomization captures variations in inertia, external torque, and actuator limitations to promote robust policy learning.
Epidemiological Analysis Of Pediatric Ocular Trauma In Sports And Recreational Activities, Zachary Goodrich, Michael Foster, Cameron Dean, Jody He, Shambhawi Thakur, Lauren Mason, John Gote, Eric Crouch
Epidemiological Analysis Of Pediatric Ocular Trauma In Sports And Recreational Activities, Zachary Goodrich, Michael Foster, Cameron Dean, Jody He, Shambhawi Thakur, Lauren Mason, John Gote, Eric Crouch
Knowledge and Creativity Expo
Purpose: To characterize sports- and recreational activity- related orbital and ocular trauma presenting to a pediatric emergency department over an 11-year period.
Methods: Data from the electronic medical record of a Level 1 Pediatric Trauma Center was used to identify all cases of orbital and ocular trauma that occurred during sports or recreational activities between 1/1/2010 and 3/1/2021 in patients age 0 to 18 years old. Variables collected included activity type, age, sex, race, injured region, diagnosis, and treatment plan. Activities were categorized as contact sports, non-contact sports, or recreational activities. Comparative analyses used chi-square, ANOVA, t-tests, and Fisher exact …
The Exploration Of Black Women Leaders In Rural Community Colleges, Tiara D. Howard
The Exploration Of Black Women Leaders In Rural Community Colleges, Tiara D. Howard
Knowledge and Creativity Expo
The Exploration of Black Women Leaders in Rural Community Colleges
Abstract: Black women have a hunger for education and self-sufficiency. Among Black students in higher education, women are more likely than men to earn degrees: Black women obtain 64.1% of bachelor’s degrees, 71.5% of master’s degrees, and 65.9% of doctoral, medical, and dental degrees (AAUW, n.d.). Yet despite this drive, dedication, and ambition, there remains a scarcity of Black women leaders in rural areas, particularly in community colleges. And when a successful Black woman does rise to a position of influence, there isn't a blueprint or road map for others …
The Dangers Of Social Media In Political Theory, Eden M. Shimanek
The Dangers Of Social Media In Political Theory, Eden M. Shimanek
Global Tides
Increasing political polarization is a prominent feature of the twenty-first-century political landscape, with social media playing a significant role. This essay evaluates social media as a political platform through Hannah Arendt’s notion of the Vita Activa, which describes the political realm and the ideas of totalitarianism. Using this framework, I argue that the surging political use of social media creates digital “echo chambers” that result from the loss of human plurality, which ultimately marks the diverse nature of the political realm. I would continue to argue that these chambers evolve into the notion that Arendt notes as world alienation or …
Protection Vs. Progression: A Macroeconomic Approach To Military Expenditure Direct Effects On Social Outcomes Using Ihdi Measures, Connor Graham
Protection Vs. Progression: A Macroeconomic Approach To Military Expenditure Direct Effects On Social Outcomes Using Ihdi Measures, Connor Graham
Global Tides
This study examines whether military expenditure reduces inequality-adjusted human development and how national governance quality moderates these effects. Using panel data covering 121 countries from 2010-2023, two-way fixed effects models are employed to estimate the relationship between military spending and the Inequality-Adjusted Human Development Index (IHDI). Three key findings emerge from the analysis based on the resulting data. First, a one percentage point increase in military spending reduces IHDI by 0.0012-0.0015 points. Second, the effects prove seven times larger in developed countries than in developing ones, which runs contrary to expectations and prior literature. Lastly, political stability emerged as a …
The Royal And Divine Garden: Cherubim And Vegetation Imagery In Solomon’S Temple And The Ancient Near East, Jack W. Sulewski
The Royal And Divine Garden: Cherubim And Vegetation Imagery In Solomon’S Temple And The Ancient Near East, Jack W. Sulewski
Global Tides
Solomon’s Temple is described in significant detail in 1 Kings and 2 Chronicles. It may surprise the reader to know that virtually all iconography included in the Temple’s design were standard forms of communicating religious concepts in the Ancient Near East. This can present some theological problems. Is Israel’s “use" of other pagan nations' religious symbolism an issue when communicating the holiness of God? To understand further the relationship between culture, politics, and Ancient Near Eastern religion, I spent one month doing archival research in England’s multiple museums analyzing ANE object collections. Through a report of my work, this essay …
A Case Against Pragmatic Encroachment, Mahali Kuzyk
A Case Against Pragmatic Encroachment, Mahali Kuzyk
Global Tides
In their paper, Evidence, Pragmatics, and Justification Fantl and McGrath offer a seemingly intuitive and attractive route to a revision of what counts as epistemic justification and knowledge. They argue that knowledge is not just a matter of evidence, but depends in part on one’s practical situation. Higher stakes and different utilities can change whether a belief is knowledge-constituting. This essay will argue that Fantl and McGrath’s attempt to use their Knowledge-Action principle (KA) to back pragmatic encroachment ultimately fails.