Displaying 13-24 of 284 Results

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Adding Tropical Cyclone Verification Capabilities to the Model Evaluation Tools – Tropical Cyclone (MET-TC) Software
  • PI Daniel Halperin

  • Producing reliable tropical cyclone (TC) genesis forecasts is an operational priority. The National Hurricane Center uses several TC genesis guidance products for their Tropical Weather Outlook. Furthermore, global model output is used in many TC genesis guidance products and is considered an important source of deterministic TC genesis forecast guidance. This project creates a standard framework for verifying deterministic and probabilistic TC genesis forecasts using the TC-Gen tool in the Model Evaluation Tools software package.

ADS-B Technology for Reusable Launch Vehicles
  • PI Massood Towhidnejad

    CO-I Richard Stansbury

  • For this project, Embry-Riddle faculty and students are collaborating with the sponsor, the FAA Office of Commercial Space Transportation, and the MITRE Corporation to produce an ADS-B technology capable of supporting the tracking of commercial space operations of sounding rockets and reusable launch vehicles.
Air Sea Interaction
  • PI Shahrdad Sajjadi

    CO-I Ciprian Mancas

    CO-I Frederique Drullion

    CO-I Harihar Khanal

  • Many studies have been conducted on air-sea interactions. However, their main focus is on the dynamics of air-sea interactions of turbulent wind over non-linear unsteady waves. This project is in collaboration with University College London and the Trinity College, University of Cambridge.
Air Traffic Controllers’ Occupational Stress and Performance in the Future Air Traffic Management
  • PI Hui Wang

    CO-I Edward Mummert

  • As demand for unmanned aerial vehicle (UAV) operations increases, it is vital to understand its effects on air traffic controllers and the safety of the national airspace system. This study’s primary purpose is to determine how UAVs that operate in controlled airspace would influence air traffic controllers’ occupational stress and performance. In a within-subject experimental research design, 24 participants sampled from a university’s undergraduate Air Traffic Management (ATM) program completed three different air traffic control (ATC) scenarios on an en-route ATC simulation system. The degree of UAV automation and control were varied in each scenario. The participants’ stress levels, performance, and workload were measured with both objective and subjective measurements. Within-subjects ANOVA tests showed significant effects on the participants’ stress level, performance, and workload when automated UAVs were present in the scenario. Participants experienced increased workload, the highest level of stress, and carried out the worst performance when with controllable UAVs in the airspace. These findings can inform UAV integration into controlled airspace and future research into UAV automation and control and ATC management. 
Aircraft Boarding Strategies
  • PI Massoud Bazargan

  • Airlines today employ various strategies to cut costs and become lean and efficient.
Aircraft Replacement Strategy
  • PI Massoud Bazargan

Air-Deployed sUAS and StreamSonde Measurements of Turbulence in the High Wind Tropical Cyclone Surface Layer
  • PI Joshua Wadler

  • ​The primary objective of this proposal is to use uncrewed aircraft technology and atmospheric profilers to measure turbulence in the tropical cyclone (TC) boundary layer and to use those measurements to improve NOAA’s operational models.
Airline Pilot Shortage
  • PI Daniel Friedenzohn

  • With colleagues from other academic institutions this project undertook to analyze various pilot supply issues and their impact on the airline industry. The research relied on quantitative data supplied by various databases as well as information provided by the FAA.
An Exploratory Study of General Aviation Visual to Instrument Meteorological Condition Contextual Factors
  • PI James Hartman

    CO-I Mark Friend

  • The purpose of this dissertation was to bridge the existing literature gap of outdated contextual factor (CF) research through examination and determination of current General Aviation (GA) Title 14 Code of Federal Regulations (CFR) Part 91 visual flight rules (VFR)-into-instrument meteorological condition (IMC) contextual factors. Contextual factors are a multifaceted arrangement of pertinent events or occurrences contributing to pilot accidents in weather-related decision-making errors. 
An Investigation of Factors that Influence Passengers’ Intentions to Use Biometric Technologies at Airports
  • PI Kabir Kasim

    CO-I Scott Winter

  • This research investigated the factors that influence passengers’ intentions to choose the use of biometrics over other methods of identification. The current study utilized a quantitative research method via an online survey of 689 persons from Amazon ® Mechanical Turk ® (MTurk) and employed structural equation modeling (SEM) techniques for data analysis. The study utilized the theory of planned behavior (TPB) as the grounded theory, while perceived usefulness and perceived ease of use were included as additional factors that could influence individuals’ intentions to use new technology.

Applying Second Language Acquisition to Facilitate a Blended Learning of Programming Languages
  • PI Lulu Sun

    CO-I Christina Frederick

    CO-I Paula Sanjuan Espejo

    CO-I Rebecca Rohmeyer

  • This research seeks to fundamentally change how students learn programming using Second Language Acquisition and Blended Learning (SLA-aBLe). This approach can be easily transferred to K-12 curricula, increasing access to STEM learning for diverse student populations. By developing an engineering faculty member's expertise in engineering education research, it will enhance communication and collaboration among faculty members and student researchers in different disciplines.
Artificial Immune System for Flight Envelope Estimation and Protection
  • PI Hever Moncayo

  • This research project, funded by the US Defense Department, represents a collaboration between Embry-Riddle Aeronautical University (ERAU) and West Virginia University (WVU). Two ERAU graduate students are fully involved in this project, one AE PhD student and one Master Student.