51-60 of 271 results
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Humanistic STEM: Blending Humanities and STEM to Increase Undergraduate Student Engagement, Knowledge, and Skills
PI Debra Bourdeau
NSF IUSE #2120807
Categories: Faculty-Staff
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Wind Powered Water Pump
PI Jeff Brown
CO-I Christopher Hays
The vision of the Wind-Powered Water Pump project is to develop a template for the development of long-range water transportation in areas where no other external energy sources are available.
In the developing world, the transportation of water from its source to an area of need can be troublesome. Many of the men and women in developing communities must exert strenuous amounts of effort to walk the miles to retrieve the few gallons of water that will be used over the following day(s). As representatives of the Honors Students Association, we propose a solution to this problem – a wind-powered water pump. This pump will eliminate the trek to get water, by efficiently and cheaply transporting the water to them.
Due to the lack of infrastructure and no external source of energy, the water pump must be powered with energy acquired by its own means. The project team will be conducting research into the efficiency and feasibility of multiple designs to accomplish this goal. The project will be divided into teams, each with a unique task deemed necessary to the completion of the project. Each team will be comprised of at least one, possibly two upperclassmen as leads and then primarily first-year students within the Honors Students Association. The team leads will be put into contact with a willing faculty advisor who will serve as a guide through the more challenging aspects of the project. Through this structure, teams will be able to accomplish their respective tasks while making progress toward accomplishing the project’s goal.
Categories: Undergraduate
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Gold Standards Training and Evaluator Calibration of Pilot School Check Instructors
PI Paul Cairns
CO-I Andrew Dattel
A key component of air carrier advanced qualification programs is the calibration and training of instructors and evaluators and assurance of reliable and valid data in support of such programs. A significant amount of research is available concerning the calibration of air carrier evaluators, but no research exists regarding the calibration of pilot school check instructors. This study was designed to determine if pilot school check instructors can be calibrated against a gold standard to perform reliable and accurate evaluations.
Calibration followed the principles and theories of andragogy and adult learning and teaching, including an emphasis on the cognitive domain of learning, learner-centered instruction, and human resource development. These in combination with methods commonly used in aviation instruction aimed to increase the effectiveness of the calibration. Discussion of these combinations is included. A specific method for delivery of the calibration was provided along with a complete lesson plan. This study used a one-group pretest-posttest design. A group of 10 pilot school check instructors was measured before and after receiving rater calibration training. Statistical measures included raw inter- and referent-rater agreement percentages, Cohen’s kappa and kappa-like statistics for inter- and referent-rater reliability, Pearson product-moment correlations for sensitivity to true changes in pilot performance, and a standardized mean absolute difference for grading accuracy. Improvement in all the measurements from pretest to posttest was expected, but actual results were mixed. However, a holistic interpretation of the results combined with feedback from the check instructors showed promise in calibration training for pilot school check instructors. A thorough discussion of the limitations and lessons learned from the study, recommendations for pilot schools, and recommendations for future research is included.Categories: Graduate
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Examining Unstable Approach Predictors Using Flight Data Monitoring Information
PI David Carroll
CO-I David Esser
The approach and landing phase of flight is statistically the most dangerous part of flying. While it only accounts for 4% of flight time, it represents 49% of commercial jet mishaps. One key to mitigating the risks involved in this flight segment is the stabilized approach. A stabilized approach requires meeting rigorous standards for many flight parameters as the aircraft nears landing. Exceeding any of these parameters results in an unstable approach (UA). The energy management (EM) accomplished by the flight crew, represented by the EM variables in the study, influences the execution of a stabilized approach.
While EM is a critical element of executing a stabilized approach, there appears to be a lack of studies that identify specific EM variables that contribute to UA probability. Additionally, several possible moderating variables (MVs) may affect the probability of a UA. Fortunately, modern jet transport aircraft have Flight Data Monitoring (FDM) systems that capture a wealth of information that enable the analysis of these EM variables. This study used FDM data to answer the questions about what influence a set of EM variables has on the probability of a UA event. The analysis also determined what impact a set of possible MVs, not directly related to EM, has on these EM variables influence.
The analysis used logistic regression (LR) to investigate FDM information. The LR provided estimations of odds ratios for each of the variables and the interaction factors for the MVs. These statistics defined a model to evaluate the influences of the EM and MVs, providing answers to the research questions posed. The results determined the model was a good fit to the data but had poor discrimination. The model supported three of the original seven EM hypotheses and none of the 28 MV hypotheses.
The study identified three specific EM variables that significantly influenced the probability of a UA event. Of the MVs, only one significant influence was revealed but was opposite that hypothesized. Identifying the EM variables, and examining their impacts, shows their importance in preventing UAs. Further, the results help prevent future UAs by informing the design of training programs. Additionally, the current effort fills gaps in the current body of knowledge, as there appears to be a lack of studies in the areas investigated.
A gap in the body of knowledge filled by investigating an area of limited research and the results provide practical application in the analysis of EM-related events. Aviation safety practitioners now have additional information to identify trend issues that may lead to the increased probability of a UA event. Finally, this study was one of very few granted access to actual operational FDM information by an air carrier. The data were crucial in evaluating the proposed model against real-world flight operations, comparing theory to reality. Without access to such closely held information, the research for this dissertation would not have been possible.
Categories: Graduate
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Developing and 3D Printing sUAS Fixed-Wing Aircraft for Educational Use
PI Joseph Cerreta
CO-I David Thirtyacre
CO-I Scott Burgess
The capability of commercial off-the-shelf 3D printers has increased rapidly over the past few years, and the ability to design, print and assemble sUAS could save academic institution resources and provide students excellent training.
Multirotor sUAS have limited endurance, range and payload carrying capabilities. Recently, the ability to print fixed-wing sUAS platforms from commercial-off-the-shelf 3D printers have lowered the barrier to entry for meeting the demands from industry with systems that are low cost and can carry electro-optical and thermal infrared sensors, multispectral and LIDAR sensors. Additionally, the advent of fixed-wing full motion video (FMV) capable drones has ushered in a new era of educational possibilities. The integration of 3D-printed fixed wing sUAS in the online classroom presents several opportunities.
Categories: Faculty-Staff
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Developing Autonomous, Targeted Feedback in Precalculus
PI Darryl Chamberlain
The overriding goal of this project is to investigate student knowledge in a Precalculus course at ERAU-W in order to construct autonomous, targeted feedback for free-responses questions to enhance students' online learning. This will be accomplished by analyzing student responses to exam questions and interviewing students to probe how their mathematical conceptions correspond to their exam responses.
Categories: Faculty-Staff
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The Development and Validation of the Game User Experience Satisfaction Scale (GUESS)
PI Barbara Chaparro
PI Joseph Keebler
CO-I Mikki Phan, User Experience Researcher, Google
The purpose of this research is to develop and psychometrically validate a new instrument that comprehensively measures video game satisfaction based on key factors. The video game industry often conducts playtesting sessions in order to provide insight into players’ attitudes and preferences. However, quality feedback is difficult to obtain from playtesting sessions without a quality gaming assessment tool.
A new instrument measuring video game satisfaction, called the Game User Experience Satisfaction Scale (GUESS), with nine subscales emerged. These scales included Usability/Playability, Narratives, Play Engrossment, Enjoyment, Creative Freedom, Audio Aesthetics, Personal Gratification, Social Connectivity, and Visual Aesthetics.
The GUESS was developed and validated based on the assessments of over 450 unique video game titles across many popular genres. Thus, it can be applied across many types of video games in the industry both as a way to assess what aspects of a game contribute to user satisfaction and as a tool to aid in debriefing users on their gaming experience. Based on current best practices of scale development and validation, the project used a mixed-method design that consisted of item pool generation, expert review, questionnaire pilot study, exploratory factor analysis (N = 629), and confirmatory factor analysis (N = 729).
Results from this multistage process demonstrate that the GUESS can be administered to video game players with various gaming experience (e.g., newbie/novice, hardcore/expert) playing a variety of game genres. Ratings of all the items per factor can be averaged to obtain a score of each subscale and average scores for each subscale can be added together in order to obtain a composite score of video game satisfaction. This can aid game designers in determining aspects of a game to improve as well as emphasize to target gaming markets.
Since its development and validation, the GUESS continues to be used to understand video game satisfaction across platforms and user groups by both the GEARS and User Experience Research labs at ERAU as well as gaming labs from other universities.
This was dissertation research by Dr. Mikki Phan supervised by Dr. Barbara Chaparro and Dr. Joseph Keebler. Mikki is now a User Experience Researcher at Google in Mountain View, CA. For more information, see Phan, M. H., Keebler, J. R., & Chaparro, B. S. (2016). The Development and Validation of the Game User Experience Satisfaction Scale (GUESS). Human Factors, 58(8), 1217-1247 and http://www.wired.co.uk/article/science-can-now-determine-how-good-any-video-game-is . Contact Barbara.Chaparro@erau.edu to obtain the GUESS instrument.
Mikki Phan, PhDCategories: Graduate
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A Boltzmann Simulator for Porous Media Flows
PI Leitao Chen
This project develops numerical simulations through parallel development of a Boltzmann model to capture and elucidate multiscale thermos-fluids behaviors in porous media, as well as the fluid-solid interactions.
To accurately simulate porous media flow problem, a kinetic model based on the Boltzmann equation (BE) was developed. Two primary reasons justified the choice of a BE-based approach over conventional Navier-Stokes (N-S) computational fluid dynamics (CFD) methods. First, the fluid flow within porous media often occurs in extremely narrow channels, representing high-Knudsen-number flow regimes. The Knudsen number (Kn), defined as the ratio of molecular mean free path to the smallest channel dimension, indicates that traditional N-S equations are physically inadequate for accurately describing these flow conditions. Conversely, BE-based models are well-established to yield physically accurate results for high-Kn flows. Second, from a computational standpoint, the BE inherently involves a simpler mathematical structure due to its linear advection term, substantially reducing computational overhead compared to the nonlinear N-S equations. This simplification significantly improves computational efficiency, especially critical for simulating flow within complex porous structures. To better capture the complex boundaries in porous media, a meshless discretization method of the BE has been developed in this project. This meshless approach entirely eliminates dependency on mesh generation, offering significant advantages in accurately simulating flow through porous media.Categories: Faculty-Staff
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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.
This deterministic model was validated using an example case of the Sydney metropolitan area in Australia, which presented an optimal solution of a dual airport system along with scalable outcomes for a 50-year timeline. The study also tested alternative input values to the discount rate, operation cost, and passenger access costs to review the reliability of the deterministic model. Six additional experimental models were tested, and all models successfully yielded optimal solutions. The moderating effects of financial discount rate, airport operation cost, and passenger access costs on the optimal solution were quantitatively the same in presence of a deterministic demand profile.
This deterministic model was then transformed into a stochastic optimization model to address concerns with the uncertainty of future traffic demand, which was further reviewed with three what-if demand scenarios of the Sydney Model: random and positive growth of traffic demand, normal distribution of traffic demand changes based on the historical traffic record of the Sydney region, and reflection of the current COVID- 19 pandemic situation. This study used a Monte Carlo simulation to address the uncertainty of future traffic demand as an uncontrollable input. The Sydney Model and three What-if Models successfully presented objective model outcomes and identified the optimal solutions to expand airport capacity while minimizing overall costs. The results of this work indicated that the moderating effect of traffic uncertainties can make a difference with an optimal solution. Therefore, airport decision-makers and airport planners should carefully consider the uncertainty factors that would influence the airport capacity expansion solution.
This research demonstrated the effectiveness of combining MINLP and the Monte Carlo simulation to support a long-term strategic decision for airport capacity problems in metropolitan areas at the early stages of the planning process while addressing future traffic demand uncertainty. Other uncertainty factors, such as political events, new technologies, alternative modes of transport, financial crisis, technological innovation, and demographic changes might also be treated as uncontrollable variables to augment this optimization model.
Categories: Graduate
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Project Global Officer
PI Aaron Clevenger
Project GO provide's overseas language instruction consisting of a minimum of 8 weeks and/or 150 contact hours (per grant program) to ROTC students nationwide with the goal of helping student to reach an ILR 1 proficiency level in a critical language: Mandarin Chinese in Taiwan, and Arabic in Jordan. All students should reach the objective of successfully applying the target language and cultural knowledge in actual communication with native speakers.
Categories: Faculty-Staff
51-60 of 271 results