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191-200 of 220 results

  • Usability of Urban Air Mobility: Quantitative and Qualitative Assessments of Usage in Emergency Situations

    PI Scott Winter

    CO-I Stephen Rice

    CO-I Sean Crouse

    ​The purpose of these studies is to determine the usability of urban air mobility (UAM) vehicles in the emergency response to natural disasters and the ideal locations for their take-off and landing sites to occur, consistent with the Center's Theme 2. UAM involves aerial vehicles, mostly operated autonomously, which can complete short flights around urban areas, although their applications are expanding to rural operations as well. While initially designed to support advanced transportation mobility, these vehicles could offer numerous advantages in the emergency response to natural disasters. Through a series of four studies with over 2,000 total participants, quantitative and qualitative methods will be used to identify UAM vehicles' usability in response to natural disasters. The studies will examine the types of natural disasters and types of missions where UAM could be considered usable, along with the creation of a valid scale to determine vertiport usability. Interviews will also be conducted to provide qualitative insights to complement the quantitative findings.

    ​In this proposed series of four studies, our overall purpose will be to determine the usability of urban air mobility in the emergency response to natural disasters. As the concepts of urban air mobility move closer to reality, these mostly autonomous aerial vehicles may provide valuable contributions to our response after natural disasters. However, little prior research has examined the types of natural disasters, types of missions, or locations where UAM could be deployed in the emergency response. The first objective of this research will be to assess the usability of UAM based on the type of natural disaster and type of mission. Following this, the research will develop a valid scale to measure possible locations where UAM operations could be conducted following a natural disaster, such as city parks, building rooftops, or existing helipads. The final objective of this study will be to gather qualitative data through interviews to complement the quantitative findings and offer more significant insights and explanations as to the usability of UAM in response to natural disasters.

    Categories: Faculty-Staff

  • Integrated Communication and Environmental Sensing for Safety-Critical Autonomous Systems

    PI Thomas Yang

    PI Siyao Li

    Current communication networks with transmitter/receiver nodes can provide large-scale area coverage and robust interconnection between nodes. This allows for the seamless integration of sensing functions into the existing communication framework, paving the way for Integrated Communication and Sensing (ICAS). Unlike previous generations that treated communication and sensing separately, ICAS eliminates the need for additional hardware, extra transmit power, or dedicated frequency bands, by enabling communication signals to support data transmission and environmental sensing simultaneously. This convergence makes ICAS a key feature of six-generation (6G) communication and enables advanced applications, including Unmanned Aerial Vehicle (UAV) missions, autonomous driving, surveillance, and smart cities, to be powered by a single transmitted signal.

    This project aims to develop a novel ICAS framework tailored specifically for autonomous systems operating in safety-critical environments. The primary focus is enabling environment sensing by systematically analyzing the received information-carrying communication signals, through line-of-sight and/or reflected and scattered paths.



    Categories: Faculty-Staff

  • Intelligent signal processing for secure mobile wireless communications with spectrum and energy efficiency

    PI Thomas Yang

    In modern wireless communications, scenarios often arise in which the receiver is required to perform detection of multi-user transmissions on the same channel or suppress co-channel interferers. In these scenarios, signal separation techniques based on statistical properties can be highly effective.

    In modern wireless communications, scenarios often arise in which the receiver is required to perform detection of multi-user transmissions on the same channel or suppress co-channel interferers. In these scenarios, signal separation techniques based on statistical properties can be highly effective. However, for wireless systems operating in highly dynamic environments (such as mobile and vehicular communications), the rapidly time-varying channel condition remains a major challenge for block-based signal processing, in which the estimation of statistical properties is performed through averaging over a block of data samples. When the channel parameters change with time, long blocks mean substantial variation of mixing matrices within each block, which inevitably degrades the source separation performance. On the other hand, short blocks render the estimation of signals’ statistical properties inaccurate and biased, thus resulting in poor estimation performance.

    We addresses the above-mentioned challenge via the adoption of signal separation algorithms specifically designed for dynamic channel conditions, and artificial data injection applied to short processing data blocks in wireless receivers. Through theoretical and simulation studies, we concluded that the data injection method has great potential in improving signal detection accuracy and/or processing speed for multi-user detection in wireless receivers under dynamic channel conditions. The physical layer security of these mobile communication systems is also being addressed. The research is supported by Air Force Research Laboratory’s Information Directorate (AFRL/RI).

    Categories: Faculty-Staff

  • Fabrication of Copper Lithium-ion Battery Case with Integrated Cooling Channels Using Binder Jetting Additive Manufacturing

    PI Yue Zhou

    CO-I Wenhao Zhang

    CO-I Heer Patel

    CO-I Henil Patel

    CO-I Sirish Namilae

    This project leveraged binder jetting processes to directly fabricate metallic battery cases integrated with various cooling channels, paving the way for the additive fabrication of metallic thermal management devices applied in the aerospace field.



    Findings: Developed heat transfer model for the geometrical design of cooling channels, created files for experimental design and optimized printing & sintering settings, created scale-down prototypes for battery cases with integrated cooling channels.

    Categories: Faculty-Staff

  • Media Literacy and Online Critical Thinking Initiatives

    PI Diane Zorri

    CO-I Ann Phillips

    CO-I Daniel Gressang

    CO-I Matthew Sharp

    CO-I Mihhail Berezovski

    CO-I Rachel Silverman

    CO-I Steven Master

    This project proposes a train-the-trainer professional development program for Volusia county’s secondary school educators to co-opt pedagogical tools and methods that challenge online violence mobilization narratives, increase awareness of violent extremist messaging and recruiting, and increase the capabilities of targeted populations to resist and counter messaging. 

    Participants of Embry-Riddle Aeronautical University’s train-the-trainer seminars will identify problematic online and media messages that could lead to radicalization to violent extremism, critically evaluate the problematic assumptions, data, or logic of those messages, and develop pedagogical strategies for teaching their own students to recognize and critically evaluate those messages. This applicant fulfills the grant program priority to achieve diversity of project type.

    Categories: Faculty-Staff

  • Wireless Communication Testbed for Internet-of-Things Research

    Research work to develop Wireless IoT Testbed at ERAU – Prescott campus. The testbed developed currently has three nodes, and is being used for Research and Teaching (EE424-Wireless Communications).

    Sponsor: Embry-Riddle Aeronautical Univ. (ERAU), Faculty Innovative Research in Science and Tech. (FIRST), grant#13462.

    Budget & Role: $25,000, Principal Investigator

    Categories: Faculty-Staff

  • Microfluidic Chip & Magnetic 3D Bioprinting Research

    Breast and colon cancer are the leading causes of death in developed countries (e.g., U.S.) and are highly associated with numerous risk factors including genetics, diet, obesity, cigarette smoking, hypertension, stress, and spaceflight stressors. Despite advances in the diagnosis and treatment of cancer, the mortality rates are still high and the potential mechanisms driving the metastatic potential of the cancer cells are still not well characterized.



    Categories: Faculty-Staff

  • Space Operations in the NAS: Analysis of Impacts to the Aviation Industry

    The basic goal of the research is to understand impacts to aviation stakeholders of the National Airspace System (NAS) due to space launch activities.  The focus of the research is to study impacts to general aviation (GA), particularly with respect to airports and airport users, near and around Cape Canaveral, FL. Further, several avenues will be assessed to determine what aspects of GA are impacted, where, when, how, and why. Data will be collected and analyzed in alternate methods other than the originally-proposed simulation and modeling. As an aside, per FAA input and following review of extant literature, impacts to GA have not been adequately researched. Until recently, the industry and the FAA have largely focused on impacts to airlines (Tinoco, Eudy, Cannon 2020). As a result, we believe this effort will lead to interesting outcomes and fill a much-needed gap in the literature.  

    Categories: Faculty-Staff

  • Langrangian Wind Tunnel

    ERAU is supporting industry (i.e. Global Aerospace Corp.) in the development of a novel hypersonic wind tunnel by using high-fidelity computational fluid dynamcs.

    GAC is leading development of a wind tunnel in which the test article is propelled thru the test section at hypersonic speeds using a novel, proprietary approach.  Due to proprietary restrictions a simplistic version of the test article is illustrated below as it moves Mach 10 from right to left.  Shock waves may be observed reflecting off tunnel walls.  A Phase I Air Force STTR effort has been completed and Phase II is expected to begin in the near future.

    Categories: Faculty-Staff

  • ACTIVE CONTROL OF SUPERSONIC JET NOISE VIA BI-MODAL EXCITATION



    Jet noise is a major problem for both military and commercial aircraft, and there is a lot of interest in ways to reduce it.  In this research project sponsored by the Office of Naval Research, the objective is to implement active control in rectangular jets to reduce the noise.  This is to be done by exciting the jet at a fundamental frequency as well as either a harmonic or subharmonic frequency.  The amplitudes of the excitation are small, thus there should be minimal impact of excitation on aircraft performance.  In doing this, we can manipulate the large-scale structures in the jet, which is the dominant noise source.  The working principle here is that energy from the fundamental mode is transferred to the subharmonic or harmonic, which results in a reduction of the peak noise. 

    In order to compute the noise sources, High-Fidelity Large Eddy Simulations (LES) is done by modifying a code originally developed by the Air Force Research Laboratory, which uses high-order numerical schemes.  However, LES is very computationally expensive and can take weeks to obtain results when running on a supercomputer.  Choosing the wrong excitation parameters can result in zero noise reduction or even enhancement of the noise.  To predict optimal excitation parameters, a Reduced-Order Model (ROM) has been derived to predict the propagation of noise sources in a jet.  Inputs to the ROM can come from linear methods such as Linear Stability Analysis or the Linearized Euler Equations.  Once the ROM is set up, a set of nonlinear differential equations can be solved numerically.  By comparison, this takes only a matter of seconds and does not require the use of a supercomputing cluster.  Using these results, we can observe the damping effect on the dominant noise source, and optimal excitation parameters can be chosen as inputs into LES.

    Current work is focused on performing LES on a Mach 1.5 planar jet, which approximates the flow in the minor plane of a rectangular jet.  This is being done to validate open-loop control using results from the ROM.  Both the symmetric and asymmetric modes will be studied.  Future work will involve performing LES on a Three-dimensional rectangular jet, which will be more representative of a real jet.  Here, closed-loop control can also be implemented.  By measuring the noise signal near the exit of the jet, parameters can be inputted to the ROM to give optimal excitation parameters thereby maximizing the noise reduction.


    Categories: Faculty-Staff

191-200 of 220 results