Displaying 409-420 of 438 Results

U

Understanding the Coupled Interactions Between Hair-Like Micromechanoreceptors and Wall Turbulence

  • PI Ebenezer Gnanamanickam

  • ​This research focuses on understanding the interactions between turbulent flows and long (high aspect ratio), flexible hair-like microstructures or micropillars inspired by those encountered in nature. Some examples include lateral line sensors in fish, airflow sensors in bats and hair cover of animals such as seals and bats.
Unmanned Aerial Systems Research, Development, Education and Training at ²ÝÝ®ÊÓƵ

  • PI Michael Hickey

  • With technological breakthroughs in miniaturized aircraft-related components, including but not limited to communications, computer systems and sensors and, state-of-the-art unmanned aerial systems (UAS) have become a reality. This fast growing industry is anticipating and responding to a myriad of societal applications that will provide either new or more cost effective solutions that previous technologies could not, or will replace activities that involved humans in flight with associated risks.
Unmanned Aircraft Systems (UAS) Application to Support Aircraft Rescue and Fire Fighting (ARFF)

  • PI Brent Terwilliger

    CO-I David Ison

    CO-I Dennis Vincenzi

    CO-I Dahai Liu

  • This continuing research project features refinement of UAS application methods to support of ARFF responses. Previously, modeling and simulation, in combination with UAS attribute performance models, was implemented to better understand challenges, limitations, and potential benefits of UAS support. However, based on the findings and recommendations of the original inquiry, the research will be expanded to include examination of operator knowledge, skills, and abilities (KSAs), performance rating standards, and appropriate training requirements and delivery approaches.

Unmanned Underwater Vehicles

  • PI Ciprian Mancas

  • Underwater vehicles, manned or unmanned, mostly rely on ballast tanks pressurization to control their depth. Compressed air and water are allowed to alternately fill the tanks to vary the overall density of the vehicle.
Update content and teaching design, CISSP Official Training Course, to meet 2021 best security practices

  • PI Michael Wills

  • Research, curate, and redevelop all course materials to meet 2021 best cybersecurity practices and certification requirements for (ISC)2 Certified Information Systems Security Professional program
Usability of Urban Air Mobility: Quantitative and Qualitative Assessments of Usage in Emergency Situations

  • PI Scott Winter

    CO-I Stephen Rice

    CO-I Sean Crouse

  • ​The purpose of these studies is to determine the usability of urban air mobility (UAM) vehicles in the emergency response to natural disasters and the ideal locations for their take-off and landing sites to occur, consistent with the Center's Theme 2. UAM involves aerial vehicles, mostly operated autonomously, which can complete short flights around urban areas, although their applications are expanding to rural operations as well. While initially designed to support advanced transportation mobility, these vehicles could offer numerous advantages in the emergency response to natural disasters. Through a series of four studies with over 2,000 total participants, quantitative and qualitative methods will be used to identify UAM vehicles' usability in response to natural disasters. The studies will examine the types of natural disasters and types of missions where UAM could be considered usable, along with the creation of a valid scale to determine vertiport usability. Interviews will also be conducted to provide qualitative insights to complement the quantitative findings.
Using Advanced Simulation in the Classroom Environment To Improve Flight Instructor Initial Training

  • PI Kenneth Byrnes

  • Current methods to provide training to future flight instructors on the fundamentals of instruction is not considered adequate. Through role play, this study will employ a Flight Training Device (FTD) in a classroom to improve instructional method training and retention.
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 ²ÝÝ®ÊÓƵ (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.