Results

Displaying 313-324 of 436 Results

P

Porous Media

  • PI Harihar Khanal

    CO-I Ciprian Mancas

  • This project will build a mathematical and computational model for investigating growth and transport of micro-organisms in unsaturated soil described by the nonlinear Richards' equation with source terms. These source terms contribute to change the saturation function, or the microbial population density, in addition to the nonlinear diffusion.
Predicting General Aviation Accidents Using Machine Learning Algorithms

  • PI Bradley Baugh

    CO-I Bruce Conway

  • Aviation safety management is implemented through reactive, proactive, and predictive methodologies. Unlike reactive and proactive safety, predictive safety can predict the next accident and enable prevention before an actual occurrence. The study outlined here promotes predictive safety management through machine learning technologies using large amounts of data to facilitate predictive modeling.

Predicting Pilot Misperception of Runway Excursion Risk Through Machine Learning Algorithms of Recorded Flight Data

  • PI Edwin Odisho

    CO-I Dothang Truong

  • The research used predictive models to determine pilot misperception of runway excursion risk associated with unstable approaches. The Federal Aviation Administration defined runway excursion as a veer-off or overrun of the runway surface. The Federal Aviation Administration also defined a stable approach as an aircraft meeting the following criteria: (a) on target approach airspeed, (b) correct attitude, (c) landing configuration, (d) nominal descent angle/rate, and (e) on a straight flight path to the runway touchdown zone. Continuing an unstable approach to landing was defined as Unstable Approach Risk Misperception in this research. A review of the literature revealed that an unstable approach followed by the failure to execute a rejected landing was a common contributing factor in runway excursions.

Prediction of Flight Delays Using Bayesian Networks and Data Mining

  • PI Dothang Truong

  • The increasing demand for air travel over the years has put United States airports to their capacity limit that results in risk of flight delays. The frequency of flight delays and long delay time has negative impacts on the aviation industry, airlines reputation, and airport operations.
Predictive Analytics for Unmanned Aerial Systems Deployment
  • ​This research covers unmanned systems deployment in uncertain adversarial environments. Resilient logistics operations call for a holistic and crosscutting approach to proactively address both real-time and persistent adversarial events in several operational areas to outfit mobility platforms, networks, and C2 digital twin to support continued uninterrupted operations.
Privacy-Preserving Authentication Scheme

  • PI Shafika Showkat Moni

  • This research project focuses on designing efficient privacy-preserving authentication schemes to reduce the communication and computation overhead related to authenticating entities in VANET.
Project ARAPAIMA

  • PI Bogdan Udrea

  • Many space-based imaging methods are conducted using spacecraft based telescopes or cameras; these are usually two-dimensional still images and video. To accurately map and analyze resident space objects (RSOs) a three-dimensional (3D) approach must be taken.
Project ARAPAIMA: Testbed for Proximity Operations

  • PI Bogdan Udrea

  • Many space-based imaging methods are conducted using spacecraft based telescopes or cameras; these are usually two-dimensional still images and video. To accurately map and analyze resident space objects (RSOs) a three-dimensional (3D) approach must be taken.
Project Courier

  • CO-I Greg Diehl

    CO-I John Robbins

  • Project Courier is an Unmanned Aerial Vehicle (UAV) delivery service that would operate across the ERAU campus aimed at allowing for quick delivery of documents, packages, and potentially food. 
Project Global Officer

  • PI Aaron Clevenger

  • Project GO provide's overseas language instruction consisting of a minimum of 8 weeks and/or 150 contact hours (per grant program) to ROTC students nationwide with the goal of helping student to reach an ILR 1 proficiency level in a critical language: Mandarin Chinese in Taiwan, and Arabic in Jordan. All students should reach the objective of successfully applying the target language and cultural knowledge in actual communication with native speakers.
Project Haiti

  • PI Marc Compere

  • The goals of Project Haiti are to provide Haitians with clean drinking water, to expose our college students to another culture, and to give them a hands-on experience using their engineering skills to directly help people.

Prospective Gains in Safety and Cost Management; Using the HFACS to Proactively Address Organization Influences that Cause Human Error

  • PI Mark Miller

    PI Michelle Hight

  • Using the HFACS to identify organization influences causes to accidents.