Results
Displaying 1-12 of 55 Results
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PI Yizhou Jiang
CO-I Leitao Chen
CO-I Yanbing Chen
- This study aimed to fabricate composite materials, i.e. continuous carbon fibers reinforced thermoset composites (CCFRTC), in a way that makes heat transfer predictable, enabling effective control measures. The ability to control thermal transfer through 3D-printing can lead to significant improvements in preventing thermal-related accidents.
A
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PI Mackenzie Dickson
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The purpose of this thesis was to compare how two different types of Safety Management Systems (SMS) training affect SMS knowledge in instructors and students in a university flight program. Additionally, the research sought to determine whether a correlation exists between safety knowledge and safety culture perception. An experimental research design was used to study two independent variables, training method and person type, and their effect of SMS knowledge. A non-experimental design was used to study the correlation between safety knowledge and safety culture perception. Research has shown that a safety-training program’s engagement level has an effect on the safety knowledge retained by trainees. This study sought to determine if higher-engagement, live- presentation training is a better approach to SMS training than a computer-based training module currently in use by the university studied. The results of this study can provide the university with useful guidance in constructing its SMS training program, an essential element to an effective SMS. Additionally, this study can demonstrate the importance of safety training in establishing positive perceptions of the university’s safety culture among students and instructors.
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PI Daniel Halperin
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Producing reliable tropical cyclone (TC) genesis forecasts is an operational priority. The National Hurricane Center uses several TC genesis guidance products for their Tropical Weather Outlook. Furthermore, global model output is used in many TC genesis guidance products and is considered an important source of deterministic TC genesis forecast guidance. This project creates a standard framework for verifying deterministic and probabilistic TC genesis forecasts using the TC-Gen tool in the Model Evaluation Tools software package.
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PI Hui Wang
CO-I Edward Mummert
- As demand for unmanned aerial vehicle (UAV) operations increases, it is vital to understand its effects on air traffic controllers and the safety of the national airspace system. This study’s primary purpose is to determine how UAVs that operate in controlled airspace would influence air traffic controllers’ occupational stress and performance. In a within-subject experimental research design, 24 participants sampled from a university’s undergraduate Air Traffic Management (ATM) program completed three different air traffic control (ATC) scenarios on an en-route ATC simulation system. The degree of UAV automation and control were varied in each scenario. The participants’ stress levels, performance, and workload were measured with both objective and subjective measurements. Within-subjects ANOVA tests showed significant effects on the participants’ stress level, performance, and workload when automated UAVs were present in the scenario. Participants experienced increased workload, the highest level of stress, and carried out the worst performance when with controllable UAVs in the airspace. These findings can inform UAV integration into controlled airspace and future research into UAV automation and control and ATC management.
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PI Joshua Wadler
- The primary objective of this proposal is to use uncrewed aircraft technology and atmospheric profilers to measure turbulence in the tropical cyclone (TC) boundary layer and to use those measurements to improve NOAA’s operational models.
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PI James Hartman
CO-I Mark Friend
- The purpose of this dissertation was to bridge the existing literature gap of outdated contextual factor (CF) research through examination and determination of current General Aviation (GA) Title 14 Code of Federal Regulations (CFR) Part 91 visual flight rules (VFR)-into-instrument meteorological condition (IMC) contextual factors. Contextual factors are a multifaceted arrangement of pertinent events or occurrences contributing to pilot accidents in weather-related decision-making errors.
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PI Kabir Kasim
CO-I Scott Winter
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This research investigated the factors that influence passengers’ intentions to choose the use of biometrics over other methods of identification. The current study utilized a quantitative research method via an online survey of 689 persons from Amazon ® Mechanical Turk ® (MTurk) and employed structural equation modeling (SEM) techniques for data analysis. The study utilized the theory of planned behavior (TPB) as the grounded theory, while perceived usefulness and perceived ease of use were included as additional factors that could influence individuals’ intentions to use new technology.
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PI Sabrina Woods
CO-I Scott Winter
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Continued flight under visual flight rules into instrument meteorological conditions is the predominant cause for fatal accidents by percentage, for general aviation aircraft operations. It is possible that a pilot’s motivation or reason for flying will override other safer, more logical courses of action when a hazard presents itself. The decision appears to stem from a willingness to persist in a course of action despite factors that indicate an alternate and safer course is warranted. This research addresses what is currently presumed about the decision to continue flying under visual flight rules into instrument conditions and marries those ideas with the extensive studies on how theoretically affects the decision-making process.
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CO-I Devonte Grantham
CO-I Janet Marnane
- Embry-Riddle Future Space Explorers and Developers (ERFSEDS) will be attending a rocket competition in Utah this coming June, and they will receive extra points for the competition if they have a research project (not built by their club), Inside of their rockets. In collaboration with ERFSEDS, the Society 4 S.P.A.C.E. team would like to send a small satellite attached to a quad-coper as the research project (payload) for ERFSEDS rocket.
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PI Pedro LLanos
CO-I Erik Seedhouse
- The Suborbital Space Flight Simulator (SSFS) replicates in-vehicle parameters of a suborbital launch vehicle. These suborbital missions can be monitored from the Mission Control Center (MCC). These flight parameters include the size, general layout, and typical system indicators for a suborbital spaceflight mission, as well as an approximate replication of the visuals that would be seen on a suborbital spaceflight mission. The SSFS can be configured to replicate the mission profile and layout of multiple suborbital launch vehicles. The SSFS records 56 flight data parameters that can be used for studies. The SSFS can potentially be used by multiple organizations, with multiple capabilities.
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PI Dothang Truong
- This project leverages big data analytics tools for the exploration and transformation of injury data for a major Part 121 carrier with the goal of predictive modeling. This project offers graduate students an opportunity to work with a substantial airline dataset under the supervision of a faculty member. The outcomes have the potential to lead to more extensive future projects in the realm of big data analytics. (This project is under strict NDA).
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PI Pedro LLanos
CO-I Sathya Gangadharan
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This research conducted with Co-Investigators Sathya Gangadharan (ERAU) and Kristina Andrijauskaite (MUSC/UTHSCSA), funded by ERAU’s Faculty Research Development Program, was ERAU's first suborbital payload aboard Blue Origin’s New Shepard launched December 12, 2017. The main aim of this research was to investigate the effect of microgravity on T-cells and to understand how this research could be used to develop T-cell-based therapeutics for cancer patients. A second goal was to monitor the environment that T-cells encountered during suborbital flight. The recorded data will be used to better understand the behavior and functionality of the T-cells when exposed to different stressors.