Displaying 85-96 of 438 Results

C

Collaborative Research: Wideband Multi-Beam Antenna Arrays: Low-Complexity Algorithms and Analog-CMOS Implementations

  • PI Sirani Mututhanthrige Perera

    PI Arjuna Habarakada Madanayake

    PI Soumyajit Mandal

  • Explosion of millimeter-wave (mm-wave) bandwidth opens up applications in 5G wireless systems spanning communications, localization, imaging, and radar. This project addresses challenges in mathematics, engineering, and science in developing efficient wideband beamformers based on sparse factorizations of the matrix called-delay Vandermonde matrices (DVM). The proposed highly integrated approach is attractive for mobile applications including 5G smart devices, the internet of things, mobile robotics, unmanned aerial vehicles, and other emerging applications focused on mm-waves.

Command Communications and Control

  • PI Timothy Wilson

  • Research is proposed to survey the status of Command, Communication, and Control technologies and approaches for Unmanned Aircraft Systems.
Comparison of Classic Guerrilla Warfare With So-Called Fourth-Generation Warfare Using Agent-Based Modeling and Simulation

  • PI Jerry Sink

    CO-I Mark Abdollahian

  • Fourth-Generation Warfare (4GW) theory shares many characteristics of classical guerrilla theory (CGW) in security studies literature. Proponents claim that 4GW is a significant evolution that overturns traditional measures of military power, while critics counter that 4GW is simply CGW in an updated context. The two strategies are modeled in an agent-based simulation to evaluate similarities and differences in speed to victory and territory controlled over. Emergent behaviors are compared with historical data.

Comparison of Grades Based on Learning Mode: How Learning Environment Impacts Grades

  • PI John Griffith

    CO-I Donna Roberts

    CO-I Beverly Wood

  • A comparison of failure rates and grade distribution will be conducted between four learning disciplines utilized by ²ÝÝ®ÊÓƵ-Worldwide: Eagle Vision Classroom (synchronous classroom to classroom), Eagle Vision Home (synchronous home to home), Online and traditional classroom learning environments. Researchers will examine approximately 20,000 Embry-Riddle end-of-course student grades from the 2015-2016 academic year. The study will determine if significant relationships between failing grades and learning environment (modes) exist between the English, Humanities, Economics and Mathematics disciplines. Due to the continued technological advancements in course delivery, recommendations from previous studies in this area include continued research on the relationship of student performance and learning mode.
Complex Adaptive Leadership

  • PI Kees Rietsema

    CO-I Daryl Watkins

    CO-I Robert Materna

    CO-I Edward Knab

    CO-I Matthew Earnhardt

    CO-I Linda Pittenger

    CO-I Michael Santonino

  • The goal of this research project is to develop the theoretical underpinnings for a practical and executable model of Complex Adaptive Leadership grounded in theory. We will continue to conduct research within aviation and aerospace firms as well as the military to determine the strength of the relationships between Complex Adaptive Leadership competencies and superior performance in today's increasingly complex environment.
Composite Wind Turbine Blade

  • PI Sathya Gangadharan

  • The world's primary energy needs are projected to grow by 56% between 2005 and 2030, by an average annual rate of 1.8% per year (International Energy Agency, 2012). Energy policy has confirmed the improvement of the environment sustainability of energy as a primary objective also though increasing use of renewable sources (Increasing Wind Energy's contribution to U.S. Electricity supply, 2008).
Computational Benchmarking Gas Turbine Cooling Geometries

  • PI Mark Ricklick

    CO-I Royce Fernandes

    CO-I Yash Mehta

    CO-I Simon Martinez

    CO-I Bhushan Upalkar

  • The accuracy of the simulation of gas turbine component temperatures relies heavily on the selection of appropriate modeling parameters.  The focus of this project is the research and development of these parameters, through the comparison to experimental data-sets. 

Computational Fluid Dynamics

  • PI Shigeo Hayashibara

  • Shigeo Hayashibara is a founder of ERAU Advanced Computer Simulation Laboratory (ACSL) at Undergraduate Research Institute (URI) at the Hazy library (room 119). Currently multiple student research projects are ongoing with industrial partnership (Boeing, Intelligent Light, and Pointwise) in CFD analysis on aerospace vehicles and energy systems.
Computational Optimization & Experimental Validation of Gas Turbine Cooling Configurations

  • PI Mark Ricklick

  • Optimization techniques have recently matured to the point that they can be routinely utilized in the design process, particularly when coupled with Computer Aided Engineering tools. With respect to gas turbine cooling design methods, optimization tools allow the engineer to develop configurations which promote high levels of heat removal, while minimizing parasitic losses.
Considerations for the Development and Deployment of an Unmanned Systems Simulation Framework

  • PI Brent Terwilliger

    CO-I David Ison

    CO-I Dennis Vincenzi

  • This research represents a comparative literature review to identify the best practices, methods, and concepts associated with simulation and its potential use to support unmanned system design, evaluation, analysis, and demonstration within a distributed learning environment.
CONVECT (CONvection and water Vapor Exchange in Complex Terrain)

  • PI Curtis James

    CO-I Ronny Schroeder

  • CONVECT is a major meteorological field research project being proposed for June-August 2027 in north-central Arizona. The project is aimed at improving our understanding and ability to predict the convective development, propagation and intensification of thunderstorms during the North American Monsoon (NAM).

Cost Optimization Modeling for Airport Capacity Expansion Problems in Metropolitan Areas

  • PI Woo Jin Choi

    CO-I Dothang Truong

  • The purpose of this research was to develop a cost optimization model to identify an optimal solution to expand airport capacity in metropolitan areas in consideration of demand uncertainties. The study first analyzed four airport capacity expansion cases from different regions of the world to identify possible solutions to expand airport capacity and key cost functions which are highly related to airport capacity problems. Using mixedinteger nonlinear programming (MINLP), a deterministic optimization model was developed with the inclusion of six cost functions: capital cost, operation cost, delay cost, noise cost, operation readiness, and airport transfer (ORAT) cost, and passenger access cost. These six cost functions can be used to consider a possible trade-off between airport capacity and congestion and address multiple stakeholders’ cost concerns.