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Displaying 277-288 of 436 Results

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NextGen Task G 4D FMS TBO Demonstration Benefits Analyses

  • PI Massoud Bazargan

  • The goal of the project was to leverage existing technology and Flight Management System (FMS) capabilities as a starting point to define standards and requirements for trajectory exchange, time of arrival control, and other building blocks.
NextGen Task J: Implementation of NextGen Air Traffic Management system. Integrated Airport Initiative. Benefit-Cost Analysis of Aircraft Arrival Management Systems (AAMS)

  • PI Vitaly Guzhva

    CO-I Ahmed Abdelghany

  • The main task was to evaluate AAMS implemented at CLT (with US Airways) and MSP (with Delta Airlines) and quantify its costs and benefits.
Next-Generation Air Transportation System (NextGen) Weather Research

  • PI John Lanicci

  • Various activities in support of NextGen weather research, development, and testing of new capabilities.
NOAA UAS for In-Situ Tropical Cyclone Sensing

  • PI Massood Towhidnejad

    CO-I Ilteris Demirkiran

    CO-I Richard Stansbury

  • For this project, Embry-Riddle faculty and students are collaborating with the sponsor, the National Oceanographic and Atmospheric Administration, to produce an unmanned aircraft supporting in-situ sensing of a tropical cyclone environment near the ocean surface.
Non-Commutative Ring Theory

  • PI Hisaya Tsutsui

  • Specific interests include prime and primitive Noetherian rings and injective modules. My research interests are in the area of non-commutative ring theory. A ring is a set on which two binary operations are defined. Concrete examples of such an abstract model include the set of integers with usual addition and multiplications, and the set of n by n matrices over a ring with the well-known addition and the multiplication.

Novel n x n Bit-Serial Multiplier Architecture Optimized for Field Programmable Gate Arrays (FPGA)

  • PI Akhan Almagambetov

    CO-I David Feinauer

    CO-I Holly Ross

  • Bit-serial multipliers have a variety of applications, from the implementation of neural networks to cryptography. The advantage of a bit-serial multiplier is its relatively small footprint, when implemented on a Field Programmable Gate Array (FPGA) device. Despite their apparent advantages, however, traditional bit-serial multipliers typically require a substantial overhead, in terms of component usage, which directly translates to a large area of the chip being reserved while many of those resources are unused.

    This research addresses the possibility of an efficient two's complement bit-serial multiplier (serial-serial multiplier) implementation that would minimize flip-flop and control set usage on an FPGA device, thereby potentially reducing the overall area of the circuit. Since the proposed architecture is modular, it functions as a "generic" definition that can be effortlessly implemented on an FPGA device for any number of bits.

Novel Space Science Test via Adaptive Control and Integral Concurrent Learning Leveraging On-Orbit CubeSat Structural Identification

  • PI Riccardo Bevilacqua

  • The objective of this work is to create the basic science underpinning the structural testing and evaluation framework and control for deployable large spacecraft.
NREUP: Predictive Analytics for Dynamic Pricing in Private Aviation

  • PI Mihhail Berezovski

    CO-I Mariah Marin

    CO-I Camryn Wills

    CO-I Mafalda Soares

  • OneSky Flight supports the technology needs of four established private jet brands; Flexjet, Sentient Jet, PrivateFly, and Sirio. One key function required by these businesses is trip pricing. This is the exercise of determining the appropriate price for a trip, considering many factors. Today, this process is manual. The ultimate goal of this project is to create a dynamic pricing tool that generates an appropriate price for trips in the US and EU. There is a large part of this project that needs to be addressed: Event Calendar. The Event Calendar includes a factor for each day of the year. These factors are based on the events/holidays that happen throughout the year and their impact on the demand for days on and surrounding the events/holidays.  Support for this project is provided by the National Research Experience for Undergraduates Program (NREUP) of the Mathematical Association of America funded by the NSF Grant #1950644.

NSF Career Award: Effects of Magnetosheath properties on the dynamics and plasma transport produced by the Kelvin-Helmholtz Instability and on the Plasma Sheet Anisotropies

  • PI Heidi Nykyri

  • Project investigates impact of magnetosheath properties on Kelvin-Helmholtz instability 
NSF REU Site: Cybersecurity Research of Unmanned Aerial Vehicles

  • PI Laxima Niure Kandel

    CO-I M. Ilhan Akbas

  • ​This funding institutes a Research Experience for Undergraduates (REU) Site at Embry-Riddle Aeronautical University (ERAU). Each year, over the summer, ten highly motivated undergraduates will conduct an intense 10-week Unmanned Aerial Vehicles (UAV) cybersecurity research program complemented by professional development activities that prepare them for future cybersecurity careers and graduate schools.
NSF-CNS: REU Site: Swarms of Unmanned Aircraft Systems in the Age of AI/Machine Learning

  • PI Richard Stansbury

    CO-I Thomas Yang

    CO-I Sirani Mututhanthrige Perera

  • Embry-Riddle Aeronautical University establishes a new Research Experiences for Undergraduates (REU) Site to engage participants in research in drone swarms. Drone swarms create new opportunities with major societal implications.
NSF-DMS: Collaborative Research: Data-driven Realization of State-space Dynamical Systems via Low-complexity Algorithms

  • PI Sirani Mututhanthrige Perera

  • This project will utilize data-driven methods and analyze state-space dynamical systems to predict and understand future states, surpassing classical techniques. The project will also utilize state-of-the-art machine learning (ML) algorithms to efficiently analyze and predict information within data matrices and tensor computations with low-complexity algorithms.