Displaying 121-132 of 284 Results

G

GUMP: General Urban Area Microclimate Predictions Tool

  • PI Kevin Adkins

    CO-I Nickolas Macchiarella

    CO-I National Aeronautics and Space Administration NASA

  • Hyperlocal weather predictions are often necessary in order to determine whether a particular sUAS route will be safe to fly. The General Urban area Microclimate Predictions tool (GUMP) seeks to provide such predictions through the use of machine learning (ML) models and computational fluid dynamics (CFD) simulations. The computed wind flow field is converted into an intuitive risk map for sUAS operators through the use of appropriate thresholds on wind velocities.

H

Hazard Detection and Avoidance for Lunar Landing

  • PI Troy Henderson

  • This project develops and demonstrates algorithms for detecting and avoiding areas of large rocks and high slopes for a lunar lander
HIFiRE II Direct Connect Scramjet Engine Simulation

  • PI William Engblom

  • The primary goal of this project is to develop and demonstrate a computational methodology for accurate simulation of scramjet engine internal flows. This research is currently funded by the Department of Defense via a sole source subcontract with NASA Glenn Research Center.
High Spectral Resolution Observations of Lunar Exospheric Emissions

  • PI Edwin Mierkiewicz

  • We are employing high-resolution Fabry-Perot spectroscopy of neutral sodium and potassium emission to investigate the morphology and dynamics of the lunar sodium exosphere. Likely atmosphere source mechanisms are thermal desorption, photo-desorption, ion sputtering, and meteoric impact ablation.

How to Increase the Enrollment and Involvement of Women in the Areas of Aviation, Aeronautical Science, and Aerospace Engineering?

  • PI Dothang Truong

  • Research indicates the persistent under representation of women in aviation, aeronautical science, and aerospace engineering fields. This research presents an effort in increasing the enrollment and involvement of women in these areas using an interdisciplinary approach.
How to Successfully Implement Cloud-Based Solutions in Supply Chain Management?

  • PI Dothang Truong

  • Cloud computing has been proven to have numerous benefits for organizations, especially in supply chain management. More and more organizations have adopted cloud-based solutions to be their primary sourcing applications.
Human Behavior during Spaceflight - Evidence from an Analogue Environment

  • PI Guy Smith

    CO-I Jennifer Thropp

  • This study will examine the effects of the space environment on human performance during long-term space travel. An artificial environment will be created as an analogue of a space travel environment (specifically, an orbital environment). Relationships between earth and space environments (e.g. feelings of isolation, energy, motivation, mood etc.) will be measured.
Human Behavior While Living and Working in a Space Environment: Evidence from an Analogue Space Habitat

  • PI Guy Smith

  • This study is a follow-on to this research. This research is designed to study different aspects of the role of space participant, compared to the astronaut or space mission specialist.
Human Factors Awareness Training for FAA Aviation Safety Specialists Within Aircraft Certification and FAA Flight Standards

  • PI Scott Martin

  • In this project, which is funded by the FAA, Embry‑Riddle and Kent University will develop training for individuals within the FAA’s Aviation Safety Flight Standards Service who have expertise and job responsibilities related to the evaluation of aircraft systems design, maintenance, operations, procedures and pilot performance.

I

Implementing Active Learning Techniques in an Undergraduate Aviation Meteorology Course

  • PI Daniel Halperin

    PI Joseph Keebler

    CO-I Robert Eicher

    CO-I Thomas Guinn

    CO-I Kim Chambers

  • ​Student feedback from end-of-course evaluations repeatedly indicated a desire to change the format of the course by de-emphasizing the PowerPoint-based lectures. The goal of the present study was to determine whether including a set of new active-learning techniques in an Aviation Weather course would result in better student understanding (as measured by exam scores) and make the course more engaging (as measured by end-of-course evaluations). During 2018-19, three instructors implemented five different active-learning techniques into their classes (i.e., the experimental group), while two instructors continued to use the unrevised course materials (i.e., the control group). The new active-learning techniques, described below, included daily quizzes, polling questions, flipped classroom sessions, in-class activities, and assertion-evidence-based lectures. All sections used the same assignments and exams, allowing for direct assessment of the effectiveness of the active-learning techniques. Analyses of Variance (ANOVA) tables were used to determine the statistical significance of the differences in exam scores. Indirect assessments in the form of end-of-course evaluations were also examined. 
Improved Image Processing for Orbit Estimation

  • PI Troy Henderson

  • This project seeks to improve orbit estimation methods using advanced image processing techniques applied to images from ground and space-based telescopes.
Incorporating ANSYS Simulation Tools Into Engineering Programs at Embry-Riddle Aeronautical University

  • PI Fady Barsoum

    CO-I Arka Das

    CO-I Heidi Steinhauer

    CO-I William Engblom

    CO-I Chad Rohrbacher

  • This project aims to introduce and implement ANSYS computer modeling and simulation tools into the Engineering Programs at Embry-Riddle.