Displaying 145-156 of 284 Results

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Investigation of Heat, Shade and Tilt Angle on Solar Panels
  • PI Birce Dikici

    CO-I Javier Jalandoni

  • This study examines the effect of heat, shade and tilt angle on solar panels. Extreme heats can cause a decrease in solar panel's power output and airstream can dissipate the heat and bring the solar panel to its normal operating condition. Solar panel efficiency is undesirably affected by heat and improved with introducing cooler medium. As well as heat, solar panel loses its power when a part of it is shaded by trees or surrounding buildings.

Investigation of Thermal Conductivity in Biomass Products
  • PI Birce Dikici

    CO-I Parvesh Reddy Bommi Narasimha

    CO-I Shruti Kamdar

  • Thermal conductivity plays an important role in several applications related to heat transfer such as refrigeration and air conditioning. Biomass products can be used to provide the energy required to run heat exchangers in engines, boilers and cooling systems.

Iranian Proxy Groups in Iraq, Syria, and Yemen A Comparative Analysis
  • CO-I Hugh Sadri

  •  After the fall of Saddam Hussein, Tehran’s leaders took advantage of Baghdad’s weak position and put many Iraqi power centers and local groups under their influence using a variety of soft to hard power instruments. After the withdrawal of coalition forces from the region in 2011 and through its proxy networks, Tehran gained a solid foothold in Iraq and Syria under the guise of helping Baghdad and Damascus fight the Islamic State. Likewise, Iranian proxy groups have backed Houthi rebels in Yemen fighting a regime dependent on Saudi Arabia for survival. Our primary research question is: How does Iran develop, employ, and sustain proxy organizations in Iraq, Syria, and Yemen, and what vulnerabilities does its regional strategy face as a result? Our objective is to analyze the role of Iranian influence in its proxy organizations across the Middle East. 
IUSE/PFE: RED Innovation: Using Scrum to Develop an Agile Department
  • PI Massood Towhidnejad

    CO-I Omar Ochoa

    CO-I James Pembridge

  • Efforts to implement these kinds of changes are often slowed down by department cultures or faculty attitudes about the amount of time and work that would be involved. In this project the Electrical Engineering and Computer Science (EECS) Department at Embry-Riddle Aeronautical University will implement an innovative approach to become a department that responds quickly to student and industry needs.

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Large Amplitude Electromagnetic Waves in the Radiation Belt
  • CO-I Miles Bengtson

    CO-I Anatoly Streltsov

  • When the first American satellite, Explorer I, was launched into space it inadvertently discovered one of the most significant features of our local space environment: the Van Allen Radiation Belts.  This region contains highly energetic particles that are hazardous.  This research involves one promising remediation mechanism based on interactions between these particles and very-low frequency electromagnetic waves known as whistlers.
LAX Tow Tugs Feasibility Study
  • PI Massoud Bazargan

  • Currently, United Airlines does not have any tow tugs at LAX and uses only tractors with pull bars.
Learning from Zombie Ants to Increase UAV Swarm Resilience to Faulted Agents
  • PI Bryan Watson

  • This proposal examines the issue of faulted-agent mitigation through the lens of Biologically Inspired Design.
Localization of Aircraft Using Wide Base-line Stereopsis
  • PI Kevin Rigby

  • The purpose of past research was to investigate the efficacy of wide-baseline stereopsis as a method of ranging aircraft, specifically as a possible sense-and-avoid solution in Unmanned Aerial Systems. The study was performed using a baseline 14.32 meters and two 640 x 480 pixel charge coupled device cameras.
Long-Term Organizational Sustainability
  • PI Dawna Rhoades

    CO-I Anke Arnaud

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Machine Learning Engineering: Infusing Software Engineering through the Semantic Web
  • PI Omar Ochoa

  • ​The Semantic Web provides a wealth of high-quality, structured, and contextual data, which can be used to train machine learning models.
Magnetically-Driven Ventricular Assist Device
  • PI Eduardo Divo

    CO-I Christopher Adams

  • The proposed project brings together multi-scale computational fluid dynamics (CFD) analysis and mock circulatory loop (MCL) benchtop experiments to analyze the hemodynamics of a proposed Magnetically-Driven Ventricular Assist Device (MVAD).