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Real-Time Ground-Based Flight Data and Cockpit Voice Recorder Unique text determining the feasibility for implementation and manufacture of ground-based black box systems Real-Time Ground-Based Flight Data and Cockpit Voice Recorder helps familiarize the reader with the nature of issues surrounding existing black box technology integrated on aircrafts and to understand the benefits and importance of proposed real-time ground-based alternative solutions. These are based on predicting aircraft problems while in flight, including understanding the feasibility of using the already existing space and ground-based wireless technologies infrastructures for this purpose. The authors discuss expense reductions in the crash investigation when implementing the new concepts in this book as compared to existing procedures when aircraft accidents occur. The text also opens new research ideas for future investigations. Simulation codes are included to allow for further independent exploration into the covered concepts and ideas. Topics covered in the book include: Satellite Data Transfer Implementation, including basics of the technology, channel data rate, PSTN-based satellite implementation, and expected availability of spectrum Very High Frequency Digital Link (VDL), including modes, sublayers, data transfer, packet and frame structure, and number of channels needed to support a certain number of airplanes Modern Airplane Communication Technologies (including direct air-to-ground communication using 5G) and terahertz band communications; and their integration into aviation communications Black box final architecture and connectivity, including ground and UAV connectivity, and general black box wireless communications challenges For aviation industrial engineers and technical staff, managers, and aerospace and academic researchers, Real-Time Ground-Based Flight Data and Cockpit Voice Recorder is a valuable guide to existing and future technology to successfully predict aircraft problems during flight.
This two-volume set LNAI 14692-14693 constitutes the thoroughly refereed proceedings of the 21st International Conference on Engineering Psychology and Cognitive Ergonomics, EPCE 2024, held as part of HCI International 2024,held in Washington, DC, USA, during June 29 - July 4, 2024. The total of 1271 papers and 309 posters included in the HCII 2024 proceedings was carefully reviewed and selected from 5108 submissions. The papers included in the HCII-EPCE two-volume set were organized in topical sections as follows: Part I: Cognitive Processes and Performance in High-Stress Environments; Decision-Making Support and Automation. Part II: Engineering Psychology and User Experience; Human Factors in Aviation.
This book focuses on different facets of flight data analysis, including the basic goals, methods, and implementation techniques. As mass flight data possesses the typical characteristics of time series, the time series analysis methods and their application for flight data have been illustrated from several aspects, such as data filtering, data extension, feature optimization, similarity search, trend monitoring, fault diagnosis, and parameter prediction, etc. An intelligent information-processing platform for flight data has been established to assist in aircraft condition monitoring, training evaluation and scientific maintenance. The book will serve as a reference resource for people working in aviation management and maintenance, as well as researchers and engineers in the fields of data analysis and data mining.
A selection of annotated references to unclassified reports and journal articles that were introduced into the NASA scientific and technical information system and announced in Scientific and technical aerospace reports (STAR) and International aerospace abstracts (IAA)
Distributed to some depository libraries in microfiche.