Results

Displaying 421-432 of 443 Results

U

Using Interpretable Artificial Intelligence (AI) for Validation of Autonomous Vehicle Decision Making in Simulation

  • PI M. Ilhan Akbas

  • ​Autonomous Vehicle Validation and Verification AV V&V testing produces multi-variate time series data as output, which is evaluated to determine testing coverage.
Using Machine Learning to Improve Forecasting of Deep Convection

  • PI Christopher Hennon

    CO-I Ronny Schroeder

    CO-I Curtis James

    CO-I Abd AlRahman AlMomani

  • We are working to train a neural network to forecast the initiation time, location, and intensity of thunderstorms. These results will support operations during the proposed CONVECT project and could ultimately aid operational forecasting during the North American Monsoon (NAM).
Using Virtual Reality to Identify Cybersecurity Threats for Navy Midshipmen

  • PI Andrew Dattel

    CO-I Omar Ochoa

    CO-I Daniel Friedenzohn

    CO-I Trevor Goodwin

    CO-I Harry Brodeen

  • This research is investigating the training of U.S. Navy Midshipman enrolled in the Reserve Officer Training Corps (ROTC) at Embry-Riddle Aeronautical University (ERAU) to identify cyber and security threats in a simulated bridge of a Navy vessel. Midshipmen will receive classroom instruction, as well as training in a virtual reality bridge simulator. The knowledge and skills training the midshipmen received is intended to transfer to the applications of midshipmen’s future positions and careers.

UUV-UAS Operational and Training Shared KSAs

  • PI David Thirtyacre

    CO-I Joseph Cerreta

  • Uncrewed Underwater Vehicles (UAV) and Uncrewed Aircraft Systems (UAS) operate in a similar fashion. However, there are major differences in the environment and control methods. This research investigates the similarities and differences and makes recommendations on effective cross training.

V

Vertical Lift Research Center of Excellence (VLRCOE)

  • PI John Leishman

    CO-I Ebenezer Gnanamanickam

    CO-I Kaijus Henri Palm

    CO-I Guillermo Mazzilli

  • Ship airwakes are the unsteady turbulent flows that are generated by the earths atmospheric boundary layer (the wind colloquially) blowing over a ship. These flow fields are highly turbulent, not easy to predict and couple with a similar wake flow field generated by a rotorcraft operating close the the ship. This coupling as expected is extremely difficult to predict let along faithfully simulate in a flight simulator. This coupling can have catastrophic consequences for the operation or rotorcraft operating in the vicinity of Naval ships.
Viability and application of mounting personal PID VOC sensors to small unmanned aircraft systems

  • PI Cheri Marcham

    CO-I Scott Burgess

    CO-I Patti Clark

    CO-I Joseph Cerreta

  • ​This project evaluated the feasibility of using small unmanned aircraft systems (sUAS) equipped with commercial photoionization detectors to remotely detect and characterize airborne volatile organic compounds. Internal ERAU College of Aviation funding supported interdisciplinary field testing, student involvement, and dissemination through national conferences and a peer-reviewed journal publication.
Virtual Communities of Practice: Scaling, Belonging, and Effective Feedback

  • PI Cristina Cottom

    CO-I Angela Atwell

    CO-I Lisa Martino

    CO-I Sara Ombres

  • The purpose of this research study is to extend CTLE-W's previous research on virtual faculty learning communities (VCoP) by testing a new VCoP for scalability with an expanded participation pool. This study also seeks to increase the sense of belonging among non-collocated faculty participants and to use the VCoP to provide continuing education on effective feedback practices.This VCoP and the research study will last for 8 weeks during the fall and spring. As part of the participation in the VCoP faculty will complete several online asynchronous activities using VoiceThread to discuss effective feedback practices, as well as a survey at the beginning and end of their VCoP experience. 

Virtual Community of Practice for Globally Dispersed Online Adjunct Faculty

  • PI Sara Ombres

    PI Cristina Cottom

    CO-I Lisa Martino

    CO-I Angela Atwell

  • This research study seeks to determine if participation in a virtual community of practice (VCoP) increases online adjunct faculty members’ sense of belonging within the university. This VCoP and the research study will last for 8 weeks. As part of the participation in the VCoP online adjunct faculty will complete several online asynchronous activities, as well as a survey at the beginning and end of their VCoP experience. 

Virtual Flight Demonstration of Stratospheric Dual-Aircraft Platform

  • PI William Engblom

    CO-I William Barott

    CO-I Hever Moncayo

  • The primary objective of the two-phase effort is to culminate with a proof-of-concept flight demonstration of a quarter-scale, low-altitude version of a Dual-Aircraft Platform (DAP).  The platform is to sail back-and-forth without propulsion above a restricted area using the persistent wind shear created by an onshore ocean breeze. 
Vision and Wireless-Based Surveying for Intelligent OSAM Navigation (VISION)

  • PI Hever Moncayo

    CO-I Kadriye Merve Dogan

  • ​In this project, which is a SpaceWERX Phase I STTR program with Orbital Prime, we are developing algorithms to increase autonomy of OSAM applications. 
Visual Guidance Remote Airport Lighting Systems

  • PI Christopher Grant

    CO-I Jianhua Liu

    CO-I Stuart Campbell

  • This project aims at developing low-cost/low-power lighting systems that can be deployed at remote airports. Lighting at rural airports is much needed as they give communities they serve a transportation link during time-critical situations such as emergency medical services.

Volusia County Transportation Challenge: A Commentary Report on Volusia County's Long Range Transportation Plan

  • PI Ahmed Abdelghany

  • The objective of this project is to evaluate the long-term (5-10 years) transportation plan of Volusia county.