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Oscillation and Amplitude Based Unsupervised Flight Maneuver Scoring: A Data-Driven Pilot Expertise Measure
Get PDFObjective and scalable pilot assessment is crucial due to rising training demandsand subjective evaluation limitations. Existing data-driven methods often requireextensive data labelling and focus on maneuver classification over executionquality. Addressing the need for interpretable, label-independent proficiencymetrics, this paper introduces an unsupervised pipeline to quantify roll controlsmoothness during turns from X-Plane logs. The methodology features adaptivetrend slicing for segmentation, zero-phase Butterworth filtering (0.6-4.5 Hz) toisolate roll oscillation during turns, and extraction of time domain descriptors(RMS, Peak to Peak, and crest factor). After aggregation and outlier removal, viaisolation forest, K-means clustering identified distinct “smooth” vs “oscillatory”performance groups with high statistical validity. Principal Component Analysis(PCA) further derived a continuous “smoothness index,” capturing 79.6% of thevariance. This study confirms unsupervised oscillation metrics can differentiatecontrol finesse, offering a quantitative foundation for augmenting trainingassessment and enabling future calibration against expert evaluations
A Training Study To Improve Monitoring During a Go-Around
Get PDFThe go-around (GA) maneuver varies greatly in line operations from how it istypically trained. To support improved maneuver performance, we developed atraining module based on a description of skilled monitoring performance. Wehad U.S. airline pilots fly GAs (in a simulator) in the Pilot Monitoring (PM) roleboth before and after training. The Pilot Flying (PF), a confederate, flew someGAs poorly to see whether the PM could detect and correct the poorly flownmaneuvers. Our data showed that training that focuses on developing clearexpectations about system performance can lead to significant improvements inmonitoring performance. The PMs trained in the experimental conditionoutperformed the control group on several important operational measures whileflying realistic GA scenarios
Investigating the Influence of Factors on the Flight Training Performance of Ab-Initio Pilots
Get PDFFatigue is a critical issue in aviation, particularly for ab-initio pilots undergoingmilitary flight training. This study investigates the impact of mental fatigue,training scheduling, environmental stressors, and biological needs on theperformance of 104 military ab-initio pilots. Using a comprehensive survey andadvanced statistical analyses, significant negative correlations were identifiedbetween performance and mental fatigue (r=−0.65, p\u3c0.01) training scheduling(r=−0.60, p\u3c0.01), environmental stressors (r=−0.52, p\u3c0.01), and biologicalneeds (r=−0.48, p\u3c0.05). The findings highlight the detrimental effects ofcumulative fatigue and stress on ab-initio pilot performance. Practicalimplications include the need for optimized training schedules, improved cockpitenvironments, and interventions targeting mental and physical resilience. Thisstudy underscores the importance of proactive fatigue management strategies toenhance safety and efficiency in military flight training
Real-Time Synchronization of Flight Simulation and Physiological Data Using Lab Streaming Layer: A Custom X-Plane Approach
Get PDFPoor synchronization of physiological and flight data hinders human factors research by obscuring cause-effect relationships and requiring laborious manual alignment. We developed a custom X-Plane plugin which uses Lab Streaming Layer (LSL) for real-time synchronization to integrate flight data with simultaneously streamed ECG and eye-tracking signals. Our setup simplifies datacollection and ensures precise synchronization without manual intervention,reducing error and preprocessing time. This paper describes the system configuration, plugin, and advantages over conventional methods. Our approachenables accurate correlation between physiological responses and in-flight events,offering deeper insights into pilot performance and workload, resulting in apractical, reproducible method of simplifying multimodal data collection foraccessible and efficient research in aviation human factors
Cybersickness & Susceptibility in an Exterior Preflight Inspection Simulation
Get PDFCybersickness may impact the use of virtual reality (VR) in training, as anytrainee group, including those interested in aviation careers, may includeindividuals highly susceptible to cybersickness. We therefore examinedrelationships among cybersickness and susceptibility, under varying conditions ofimmersion and interactivity, during a simulated exterior preflight inspection task.Using a non-pilot, but demographically similar trainee group (undergraduatecollege students), we found a high prevalence of susceptibility (79.4%) amongparticipants, with a high incidence (70.3%) of cybersickness in VR. Susceptibilitywas a significant predictor (R2=0.176) of cybersickness severity. Profiles ofcybersickness symptoms (Disorientation, Oculomotor, Nausea) were consistentwithin, but not between, conditions of immersion. This research further detailsrelationships among cybersickness susceptibility, severity, and immersion in anaviation-relevant learning context
The Extension Newsletter, Issue 116, Winter 116
Get PDFAn eight page newsletter from the Wright State University\u27s Retirees Association.https://corescholar.libraries.wright.edu/wsura_newsletter/1113/thumbnail.jp
Faculty Senate Meeting Agenda and Minutes, March 17, 2025
Get PDFAgenda and minutes from the Wright State University Faculty Senate Meeting held on, March 17, 2025
Programing AI with Ethics
No full textAs artificial intelligence grows increasingly ubiquitous, it’s pertinent to examine its fundamentals as well as its greater implications. Anderson discusses the ethical implications of AI.
View captioned video at https://youtu.be/LBTVEMm_C7
Water Quality and Plankton Diversity of Ahi River, Ohiya, Umuahia, Nigeria
No full textThe plankton diversity of large and urban rivers has been extensively studied in Nigeria while small rural rivers that harbour rich aquatic biota receive little attention. The composition, abundance, and distribution of plankton of a rural river were assessed in relation to some physicochemical parameters. The study was carried out between May and October 2023 in 3 stations using standard methods. The physicochemical results were: temperature (25.2-27.0oC), flow velocity (0.15-0.46 m/s), transparency (14.0-78.5cm), depth (51.0-105.0cm), pH (5.6-7.8), electrical conductivity (66.0-98.0 µS/cm), total dissolved solids (33.0-49.0 mg/l), turbidity (0.1-1.7 NTU), dissolved oxygen (3.2-6.4 mg/l), biochemical oxygen demand (1.0-2.7 mg/l), phosphate (0.01-0.04 mg/L) and nitrate (0.02-0.8 mg/1). All the parameters were within their respective acceptable limits for sustenance of aquatic life except some pH and dissolved oxygen values. We recorded 26 species of phytoplankton with abundance of 1557 individuals/l and 37 species of zooplankton with abundance of 2027 individual/l. The plankton assemblage was rich and dominated by Chlorophyceae (Arthrodesmus incus) and Rotifera (Keratella tropica) that are characteristic of oligotrophic conditions. The biodiversity indices agreed with the condition of the river and aquatic biota. It can be concluded that the composition, abundance, and distribution of the plankton in Ahi River, Umuahia was influenced by the physicochemical conditions, which in turn was influenced by season