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Articles 511 - 540 of 3305
Full-Text Articles in Engineering
Real-Time Detection Of Sea Turtles Using Uav And Neural Networks On Edge Devices, Jose A. Gonzalez Nunez, Jose G. Gonzalez Nunez, Mustafa I. Akbas, Patrick Currier, Nickolas D. Macchiarella
Real-Time Detection Of Sea Turtles Using Uav And Neural Networks On Edge Devices, Jose A. Gonzalez Nunez, Jose G. Gonzalez Nunez, Mustafa I. Akbas, Patrick Currier, Nickolas D. Macchiarella
Journal of Aviation/Aerospace Education & Research
Sea turtle populations continue to diminish around the globe for various reasons. Therefore, the need for innovative solutions to monitor sea turtles has been increasing. This research paper focuses on an innovative application of artificial intelligence (AI) and machine learning (ML) together with unmanned aerial vehicles (UAV) to improve sea turtle conservation efforts. We outline the design, implementation, and evaluation of a system that deploys UAVs equipped with high-resolution cameras, coupled with a purpose-built neural network to recognize, classify, and monitor sea turtles. This project thus serves as a platform for understanding the wider applicability and limitations of this technology …
Low-Resource Automatic Speech Recognition Domain Adaptation – A Case-Study In Aviation Maintenance, Nadine Amin, Tracy L. Yother, Julia Rayz
Low-Resource Automatic Speech Recognition Domain Adaptation – A Case-Study In Aviation Maintenance, Nadine Amin, Tracy L. Yother, Julia Rayz
Journal of Aviation/Aerospace Education & Research
With timeliness and efficiency being critical in the aviation maintenance industry, the need has been growing for smart technological solutions that optimize and streamline the different underlying tasks (Bergkvist & Sabbagh, 2021). One such task is the technical documentation of the performed maintenance operations (Chandola et al., 2022). Instead of manual documentation, voice tools that transcribe spoken logbook entries allow technicians to document their work right away in a hands-free and time efficient manner. However, an accurate automatic speech recognition (ASR) model requires large training corpora (Siyaev & Jo, 2021a), which are lacking in the domain of aviation maintenance. In …
A New Trajectory In Uav Safety: Leveraging Reinforcement Learning For Distance Maintenance Under Wind Variations, Xiaolin Xu, Jeffrey Sun
A New Trajectory In Uav Safety: Leveraging Reinforcement Learning For Distance Maintenance Under Wind Variations, Xiaolin Xu, Jeffrey Sun
Journal of Aviation/Aerospace Education & Research
In the field of aviation, safety is a critical cornerstone, and the operation of Unmanned Aerial Vehicle (UAV) systems is deeply connected with this principle. A thorough analysis and rigorous simulation and testing of aircraft systems are essential to avoid severe safety hazards. This paper delves into the safety issue in UAV operations, specifically regarding maintaining minimum safety distances under fluctuating wind conditions. The study introduces a novel solution based on a Deep Deterministic Policy Gradient (DDPG) model, a reinforcement learning method. The DDPG model was trained using a simulated environment created through the Gazebo simulator, with values for wind …
High-Flying Results: A Case Study In A Pilot Development Mentor Program, Catherine G. Cordova, Barron Parsons-Daisley, Emma Fox Captain
High-Flying Results: A Case Study In A Pilot Development Mentor Program, Catherine G. Cordova, Barron Parsons-Daisley, Emma Fox Captain
Journal of Aviation/Aerospace Education & Research
Consistently considered one of the world’s most stressful occupations, the job of an airline pilot requires increasingly specific skills and responsibilities, especially amidst the global pandemic (Cullen, et al., 2020; Sew, et al., 2022). Given the severity and implications of their decisions and actions, airline pilots must continuously undergo training and practices to ensure proper procedure. In 2020, the Federal Aviation Administration (FAA) augmented qualifications by enacting Pilot Professional Development requirements (85 FR 10923), including mentoring for newly hired pilots in command (PIC’s). In complement with 85 FR 10923, CFR 121-N ensures “techniques for reinforcing the highest standards of technical …
User Experience, Motivation And Self-Efficacy Comparisons Between Virtual Reality And Conventional Pc-Based Flight Simulation Training, Tianxin Zhang, Christina Frederick, Andrew Dattel, Elizabeth Blickensderfer, Barbara Chaparro
User Experience, Motivation And Self-Efficacy Comparisons Between Virtual Reality And Conventional Pc-Based Flight Simulation Training, Tianxin Zhang, Christina Frederick, Andrew Dattel, Elizabeth Blickensderfer, Barbara Chaparro
Journal of Aviation/Aerospace Education & Research
The current project investigated the effect of utilizing Virtual Reality (VR) technologies for flight training by comparing user experience, motivation, and self-efficacy when using conventional desktop flight simulation versus VR flight simulation. This research employed a quasi-transfer of training experiment with 48 participants. Findings showed that VR flight simulation could provide a better user experience and generate a higher level of training motivation than traditional training technologies, while maintaining trainees’ perceptions of self-efficacy. This work contributed positive evidence that VR flight simulation has great potential to be an effective means of flight training and provided a foundation for future research …
Comparative Analysis Of Aviation And Ground Transportation Safety Standards Applicable To The Integration Of Unmanned Aircraft Operations, Andrew Walker
International Journal of Aviation, Aeronautics, and Aerospace
This study performed a comparative analysis of SMS in both the aviation and ground transportation industries to identify any gaps that may impact aviation safety by incorporating UAS operations within the ground transportation industry. The study reviewed relevant literature and compared the FAA SMS and FMCSA SMC policy components. The study also compared the implementation of OSHA requirements within the aviation and ground transportation industries. After reviewing the relevant policy components, the study finds that differences in safety standards between the FAA SMA and FMCSA SMC would impact safety. The study recommends that the SMC incorporate process descriptions for SRM …
Fostering Trust In Artificial Intelligence In Commercial Aviation: An Exploratory Study, Leila Halawi, Mark Miller, Sam Holley
Fostering Trust In Artificial Intelligence In Commercial Aviation: An Exploratory Study, Leila Halawi, Mark Miller, Sam Holley
Publications
Artificial intelligence (AI) is a transformative force, compelling industries to adapt their operations, management systems, and workforce capabilities. The aviation sector finds itself at the forefront of this transformation, confronted with the imperative to navigate the complex dynamics of trust amidst AI's integration. Through a comprehensive survey involving 310 professionals from across the US commercial aviation sector, the research aims to shed light on the trust construct. The exploratory study provides critical insights for strategic AI adoption within the industry. A crosstabulation explored how employee trust in AI for decision-making differed across various demographic groups. In addition, a onesample T-test …
Adaptive Control Of Vscmgs For Satellite Attitude Tracking, Kyle Vernyi
Adaptive Control Of Vscmgs For Satellite Attitude Tracking, Kyle Vernyi
Doctoral Dissertations and Master's Theses
The democratization of space has brought about many new opportunities and challenges for industry, academia, and governments. Smaller and more affordable platforms are now regularly being launched. These platforms have higher uncertainty due to cost, engineering constraints, unmodeled dynamics, coupled effects, and the challenging space environment. In addition, both mission requirements and complexity are simultaneously being increased. In order to achieve these requirements, new satellite control algorithms are required. Adaptive control offers a strong solution to the uncertainty problem. This thesis develops several adaptive control algorithms for satellites equipped with momentum management devices. Momentum management devices such as reaction wheels …
Enabling Hybrid Optical-Microwave Space Communications With Optically Transparent Rf Components Using Indium Tin Oxide (Ito), John T. O'Keefe
Enabling Hybrid Optical-Microwave Space Communications With Optically Transparent Rf Components Using Indium Tin Oxide (Ito), John T. O'Keefe
Doctoral Dissertations and Master's Theses
Over the last decade, spacecraft have increasingly integrated both microwave and optical communication systems, driving the need for electrically conductive and optically transparent materials. This study presents a comprehensive examination of advanced electromagnetic characterization techniques and the design, fabrication, and performance of optically transparent antennas using Indium Tin Oxide (ITO) films on alkaline earth boro-aluminosilicate glass for transparent radio-frequency (RF) applications in space communication systems. Addressing the limitations of traditional metal-based antennas—particularly their shadowing effect on satellite solar cells—this study investigates ITO as a pivotal material for creating antennas that are both efficient in communication and non-intrusive to solar efficiency. …
Evaluating The Effectiveness Of Game-Based Virtual Reality In Satellite Ground Control Operations Education And Training, Lana Laskey, Joseph R. Keebler, Paul M. Cairns, Geovanny Lopez
Evaluating The Effectiveness Of Game-Based Virtual Reality In Satellite Ground Control Operations Education And Training, Lana Laskey, Joseph R. Keebler, Paul M. Cairns, Geovanny Lopez
International Journal of Aviation, Aeronautics, and Aerospace
There is increased global demand for satellite amenities such as navigation, communications, weather reporting, disaster management, agricultural operations, or humanitarian assistance. The growing demand for satellite technology amplifies the need for highly trained satellite operators. Traditional simulation training methods typically utilize two-dimensional computer displays. However, training approaches involving game-based instruction and immersive virtual reality have shown benefits when integrated with complex disciplines and may provide an advanced training alternative for satellite operators. Game-based instruction enhances user motivation and cognitive engagement, while immersive virtual reality promotes user presence and prolonged cognitive engagement. The combination of these two training methods, noted as …
Electronic On Planes: Security Measures And Avionics Disruption, Martin Jasek, Ivana Olivková
Electronic On Planes: Security Measures And Avionics Disruption, Martin Jasek, Ivana Olivková
International Journal of Aviation, Aeronautics, and Aerospace
Airlines have implemented various security measures to address the use of electronics on aircraft, focusing on telecommunication services, Bluetooth technology, and personal electronic devices (PEDs). This study evaluates 50 airlines using data from websites and safety videos to assess these technologies. While the integration of new technologies like in-flight Wi-Fi and Bluetooth offers passenger benefits, concerns persist about the potential electromagnetic interference with aircraft avionics. Early research by NASA and the FCC highlighted the risks, finding that devices like mobile phones could disrupt GPS signals during critical flight phases. Despite conflicting studies, ongoing monitoring is essential to balance passenger connectivity …
The Intellectual Structure And The Future Of Counter-Uncrewed Aerial Systems (Uas) Research: A Bibliometric And A Scoping Review, Chuyang Yang, Chenyu Huang, Yanhui Zhao
The Intellectual Structure And The Future Of Counter-Uncrewed Aerial Systems (Uas) Research: A Bibliometric And A Scoping Review, Chuyang Yang, Chenyu Huang, Yanhui Zhao
International Journal of Aviation, Aeronautics, and Aerospace
With advancements in remote sensing technology and affordable design, uncrewed aerial systems (UAS), commonly known as drones, have become prevalent in civil and military applications, such as agriculture, public safety, and aerial imaging. However, the rise in unlawful UAS activities, such as non-compliance with legal standards and potential terrorist attacks, has raised significant public concern, necessitating effective detection and mitigation solutions. Despite the growing importance of this issue, comprehensive and detailed examinations of existing counter-UAS solutions are lacking. To address this gap, this study conducts a bibliometric analysis and scoping review of the current literature to identify key topics and …
Assessing Past Airworthiness Directives And How Safety Management Systems May Benefit Aviation Product Design And Manufacturing, Damon Lercel, Manoj Patankar, Richard Steckel
Assessing Past Airworthiness Directives And How Safety Management Systems May Benefit Aviation Product Design And Manufacturing, Damon Lercel, Manoj Patankar, Richard Steckel
Journal of Aviation/Aerospace Education & Research
The European Union Aviation Safety Agency (EASA) continues to promulgate Safety Management Systems (SMS) across aviation organizations when it recently issued SMS requirements for EASA certificated Part 145 maintenance, repair and overhaul (MRO) organizations and Part 21 Design & Manufacturing (D&M) organizations. Currently, the Federal Aviation Administration (FAA) has no such rule in place for these U.S.-based organizations, which may challenge those doing business in countries where EASA policies apply. Given that a majority of the United States’ D&M and MRO population is made up of smaller organizations, it is likely a U.S. SMS regulation will require justification of the …
History’S Slowest Digital Transformation: The Long Road To Flight Data Monitoring, Michael Ott
History’S Slowest Digital Transformation: The Long Road To Flight Data Monitoring, Michael Ott
Journal of Aviation/Aerospace Education & Research
Flight data monitoring (FDM) began in the flight test community in 1939 and entered the airline industry in 1974. In the 48 years since, however, very few operators have chosen to adopt this practice, which has shown clear safety benefits where it has found acceptance. While technical issues have created some obstacles, cultural issues have proven the greatest hindrance to wider FDM adoption. These cultural issues originated in the traits associated with pilots’ personalities, especially distrust of the regulators and operators who would administer flight data analysis programs (FDAP) that used FDM information. U.S. regulators have relied on voluntary adoption, …
Interpersonal Skills In A Sociotechnical System: A Training Gap In Flight Decks, Kimberly Perkins, Sourojit Ghosh, Crystal Hall
Interpersonal Skills In A Sociotechnical System: A Training Gap In Flight Decks, Kimberly Perkins, Sourojit Ghosh, Crystal Hall
Journal of Aviation/Aerospace Education & Research
This research analyzed the perceptions of interpersonal skills on established aviation safety models, Crew Resource Management (CRM), and Threat and Error Management (TEM) using feedback from industry pilots. The flight deck is a sociotechnical system where much research has focused on the technical aspect, whereas we spotlight its socio aspect. The aviation industry must invest in training pilots on interpersonal skills to enhance safety through increased efficacy of safety models integrated throughout existing training programs. A 34-question survey was disseminated across both commercial and business aviation pilots (N=822). We explored three research questions regarding pilots’ perceived training on interpersonal skills …
Review Of Vr Technical Specification Requirements For A Procedural Training Task, Stephanie G. Fussell
Review Of Vr Technical Specification Requirements For A Procedural Training Task, Stephanie G. Fussell
Journal of Aviation/Aerospace Education & Research
Many aviation education and training programs are expanding their learning materials to include virtual learning environments (VLEs) that utilize virtual reality (VR) technology. While developing training materials and the VLE, an understanding of technical specification requirements is needed to inform stakeholders who need to choose a headset for a given training scenario. As part of a larger initiative to compare the usability of multiple VR headsets for implementation into procedural training, a review of the extant literature was conducted to identify technical specifications of VR head-mounted displays, followed by a pilot test of a head-mounted display (HMD) comparison methodology that …
Human-Ai Teams In Aviation: Considerations From Human Factors And Team Science, Jenna Korentsides, Joseph R. Keebler, Crystal M. Fausett, Sabina M. Patel, Elizabeth H. Lazzara
Human-Ai Teams In Aviation: Considerations From Human Factors And Team Science, Jenna Korentsides, Joseph R. Keebler, Crystal M. Fausett, Sabina M. Patel, Elizabeth H. Lazzara
Journal of Aviation/Aerospace Education & Research
Artificial Intelligence (AI) has transformed the way human-computer interaction (HCI) teams can collaborate and coordinate in various domains, including aviation and crew resource management (CRM). AI's transformative capabilities enhance teamwork, efficiency, and safety, particularly in risk management. AI's ability to process vast amounts of data and provide real-time insights enables informed decision-making and automation of repetitive tasks in aviation. By combining the strengths of AI and humans, outlined in our modified version of the ‘HABA-MABA’ framework, a dynamic teamwork relationship emerges, provided roles are successfully allocated. AI systems are able to act as intelligent assistants, offering timely recommendations, fostering effective …
Virtual Reality & Pilot Training: Existing Technologies, Challenges & Opportunities, Tim Marron, Niall Dungan, Brian Mac Namee, Anna Donnla O'Hagan
Virtual Reality & Pilot Training: Existing Technologies, Challenges & Opportunities, Tim Marron, Niall Dungan, Brian Mac Namee, Anna Donnla O'Hagan
Journal of Aviation/Aerospace Education & Research
The introduction of virtual reality (VR) to flying training has recently gained much attention, with numerous VR companies, such as Loft Dynamics and VRpilot, looking to enhance the training process. Such a considerable change to how pilots are trained is a subject that warrants careful consideration. Examining the effect that VR has on learning in other areas gives us an idea of how VR can be suitably applied to flying training. Some of the benefits offered by VR include increased safety, decreased costs, and increased environmental sustainability. Nevertheless, some challenges ahead for developers to consider are negative transfer of learning, …
Training Methods Research Opportunities For A Pilot Workforce In Transition: A Literature Review, James Birdsong, Kurt L. Reesman
Training Methods Research Opportunities For A Pilot Workforce In Transition: A Literature Review, James Birdsong, Kurt L. Reesman
Journal of Aviation/Aerospace Education & Research
Over the next 15 years, 50% of the U.S. commercial air carrier workforce will retire, making way for younger pilots from Generations Y and Z. This review identifies the emerging pilot workforce and training methods, including emerging technologies and learning methods, as well as research gaps.
Application Of Density Altitude Climatology To General Aviation Impacts, Thomas A. Guinn, Daniel J. Halperin, Sarah Strazzo
Application Of Density Altitude Climatology To General Aviation Impacts, Thomas A. Guinn, Daniel J. Halperin, Sarah Strazzo
Journal of Aviation/Aerospace Education & Research
Density altitude (DA) plays a key role in flight safety because it helps pilots anticipate poor aircraft performance when temperatures are warmer than standard. In this study, a 30-year climatology of DA for the conterminous United States was created using the fifth-generation European Centre for Medium-Range Weather Forecasts atmospheric reanalysis of the global climate (ERA5) dataset was applied to four separate DA-based, aircraft-performance, rules-of-thumb for general aviation (GA) flight. The goal was to demonstrate a technique to create educational visualization tools showing the variation of operational flight impacts with both month and location. Four such parameters were chosen to show …
Integrated Organizational Machine Learning For Aviation Flight Data, Michael J. Pritchard, Austin T. Walden, Paul J. Thomas
Integrated Organizational Machine Learning For Aviation Flight Data, Michael J. Pritchard, Austin T. Walden, Paul J. Thomas
Journal of Aviation/Aerospace Education & Research
Increased availability of data and computing power has allowed organizations to apply machine learning techniques to various fleet monitoring activities. Additionally, our ability to acquire aircraft data has increased due to the miniaturization of small form factor computing machines. Aircraft data collection processes contain many data features in the form of multivariate time series (continuous, discrete, categorical, etc.) which can be used to train machine learning models. Yet, three major challenges still face many flight organizations: 1) integration and automation of data collection frameworks, 2) data cleanup and preparation, and 3) developing an embedded machine learning framework. Data cleanup and …
Diversity, Equity, And Inclusion: Trends In Representation Of Women Professionals In The Aviation Industry, Caroline K. Marete, Cheng Wang
Diversity, Equity, And Inclusion: Trends In Representation Of Women Professionals In The Aviation Industry, Caroline K. Marete, Cheng Wang
Journal of Aviation/Aerospace Education & Research
Diversity, equity, and inclusion (DEI) stands as an integral component of any successful organization. Historically, society has overlooked and underplayed DEI matters, resulting in the underrepresentation of minority groups, including women and people of color. In the past decade, underrepresentation of women and other minority groups in the aviation workforce has received attention and raised concerns among industry stakeholders. To gain insight into the status of women in aviation, the authors analyzed the participation of females in aviation professions between 2016 and 2021. Data used in this study were retrieved from the 2023 U.S. Civil Airmen Statistics published by the …
Machine Learning - Hail Awareness Spatial Analysis Toolkit (Hasat), Haoruo Fu, Joseph P. Hupy, Chien-Tsung Lu, Zhenglei Ji
Machine Learning - Hail Awareness Spatial Analysis Toolkit (Hasat), Haoruo Fu, Joseph P. Hupy, Chien-Tsung Lu, Zhenglei Ji
Journal of Aviation/Aerospace Education & Research
The National Airspace System (NAS) is a sophisticated network of air traffic control, navigation, and communication systems that play a critical role in ensuring the safe and efficient flow of air traffic across the United States. However, the occurrence of severe weather conditions, particularly hailstorms, poses a significant threat to flight safety within the NAS. To mitigate the risks associated with hail, aviation organizations have implemented a range of safety measures. This study utilized Esri’s ArcGIS as a mapping software to conduct a geospatial analysis of the impact of severe weather, particularly hail, on the NAS. The Hail Awareness Spatial …
An Exploratory Single-Case Study Unveiling The Promise Of Artificial Intelligence In Aviation Education, Jorge L. D. Albelo, Stacey Mcintire
An Exploratory Single-Case Study Unveiling The Promise Of Artificial Intelligence In Aviation Education, Jorge L. D. Albelo, Stacey Mcintire
Journal of Aviation/Aerospace Education & Research
Higher education institutions continuously seek ways to improve teaching methods and enhance student learning experiences by leveraging emerging technologies in the classroom. One such technology is ChatGPT, an artificial intelligence (AI) application. The integration of this AI technology in aviation education has the potential to transform teaching and learning experiences. This study aims to investigate the acceptance and integration of ChatGPT in aviation education and understand the benefits and challenges associated with integrating such technology. The study employs a mixed methods approach, combining qualitative focus group discussions with aviation professors and a quantitative survey administered to students. The study included …
An Enhanced Deep Autoencoder For Flight Delay Prediction, Desmond B. Bisandu, Dan Andrei Soviani-Sitoiu, Irene Moulitsas
An Enhanced Deep Autoencoder For Flight Delay Prediction, Desmond B. Bisandu, Dan Andrei Soviani-Sitoiu, Irene Moulitsas
Journal of Aviation/Aerospace Education & Research
Accurate and timely flight delay prediction cannot be overemphasized because of the ever-increasing demand for air travel and its importance in deploying intelligent transportation systems. Nonetheless, there has not been a universal solution to the problem, as more intelligent flight decision systems are required for the aviation industry's future growth. Existing flight delay classification and prediction approaches are mainly shallow traffic models and do not satisfy many applications in the real world. Our motivation to rethink the deep architecture model for predicting flight delays emanates from the problem. In this research, we proposed a technique that modified stacked autoencoder architecture …
Computational Cognitive Modeling Of Pilot Performance In Pre-Flight And Take-Off Procedures, Rongbing Xu, Shi Cao, Suzanne K. Kearns, Ewa Niechwiej-Szwedo, Elizabeth Irving
Computational Cognitive Modeling Of Pilot Performance In Pre-Flight And Take-Off Procedures, Rongbing Xu, Shi Cao, Suzanne K. Kearns, Ewa Niechwiej-Szwedo, Elizabeth Irving
Journal of Aviation/Aerospace Education & Research
While the current practice of pilot training relies on flight instructors’ subjective assessment, computational cognitive modeling may be used to support future objective assessment and diagnosis of pilot performance. We built two models in a cognitive architecture to simulate pilot flight performance during pre-flight and take-off tasks. Modeling results were compared with human results collected from the same tasks using X-Plane 11 flight simulator. The models were able to capture human pilot performance and workload results from both tasks with good levels of fitness (percentage errors ranging from 0.8% to 13.2%). This work demonstrated the capability and advantage of this …
Increasing Initial Cfi Capacity Within Collegiate Flight Programs, Andrew Leonard, Cody Christensen
Increasing Initial Cfi Capacity Within Collegiate Flight Programs, Andrew Leonard, Cody Christensen
International Journal of Aviation, Aeronautics, and Aerospace
According to the Government Accountability Office (2018), collegiate aviation schools face two primary challenges: flight instructor retention and the high cost of pilot training. In a study of collegiate aviation programs, 16 of the 18 schools reported difficulty in recruiting and retaining certified flight instructors (CFI), leading to the inability to accept all students who applied to the programs. Furthermore, these programs attributed the high instructor turnover to the increased demand for commercial pilots at the airlines, a challenge that is not expected to decrease in the near future (Boeing, 2023). While the lack of flight instructor retention impacts flight …
Leveraging Artificial Intelligence To Improve Data Configuration & Accuracy In Modern Flight Management Systems, Sreeram Chittayil
Leveraging Artificial Intelligence To Improve Data Configuration & Accuracy In Modern Flight Management Systems, Sreeram Chittayil
International Journal of Aviation, Aeronautics, and Aerospace
AI (Artificial intelligence) can automate the process of generating optimized flight routes using real-time data, such as AIRAC (Aeronautical Information Regulation and Control), significantly reducing the time needed for flight management tasks. While AIRAC data typically takes up to 28 days to refresh, AI could condense this process to just minutes, enhancing operational efficiency and ensuring pilots have timely and accurate flight information. The research includes practical experiments, prototype code, and visual case studies to demonstrate AI's role in optimizing FMS functions while addressing issues related to data input errors and human intervention. Key findings from trials show the algorithm's …
Automatic Detection Of Birds In Images Acquired With Remotely Piloted Aircraft For Managing Wildlife Strikes To Civil Aircraft, Maurycio Rodrigues Oviedo, Flavio A. C. Mendonca Ph.D., Jose Cabrera, Cole A. Mcnall, Raymond Ayres, Ricardo Luís Barbosa, Rodrigo Gallis
Automatic Detection Of Birds In Images Acquired With Remotely Piloted Aircraft For Managing Wildlife Strikes To Civil Aircraft, Maurycio Rodrigues Oviedo, Flavio A. C. Mendonca Ph.D., Jose Cabrera, Cole A. Mcnall, Raymond Ayres, Ricardo Luís Barbosa, Rodrigo Gallis
International Journal of Aviation, Aeronautics, and Aerospace
Wildlife strikes represent a significant threat to aviation safety and economics, as evidenced by notable incidents such as the emergency landing of US Airways Flight 1549 in 2009. The Federal Aviation Administration (FAA) acknowledges this growing concern, as evidenced by its report on Wildlife Strikes to Civil Aircraft in the United States from 1990 to 2019.To address the need for improved risk management, airports conduct Wildlife Hazard Assessments (WHA), a laborious process typically relying on visual identification by Qualified Airport Wildlife Biologists (QAWB). However, technological advancements, such as Remotely Piloted Aircraft (RPA) and machine learning (ML), offer promising solutions to …
Performance Prism: A Comprehensive Framework For Performance Measurement In Aircraft Maintenance, Mohammed Timjerdine, Saoudi Taibi, Younes Moubachir
Performance Prism: A Comprehensive Framework For Performance Measurement In Aircraft Maintenance, Mohammed Timjerdine, Saoudi Taibi, Younes Moubachir
International Journal of Aviation, Aeronautics, and Aerospace
Aircraft maintenance is governed by rigorous safety requirements and high operational complexity, demanding robust performance measurement frameworks to ensure optimal maintenance practices. This paper investigates existing performance measurement methodologies within the sector, highlighting their limitations and the need for a more structured evaluation system. Through this critical analysis of current literature, the paper proposes the Performance Prism (PP) framework as a novel and potentially robust solution for assessing and enhancing aircraft maintenance performance. Because the PP framework integrates multiple dimensions of evaluation, it provides a holistic assessment of aircraft maintenance performance, thereby enhancing reliability, efficiency, and overall effectiveness. Using examples …