Automated Systems in the Aviation and Aerospace Industries

Automated Systems in the Aviation and Aerospace Industries

Tetiana Shmelova (National Aviation University, Ukraine), Yuliya Sikirda (Kirovograd Flight Academy of the National Aviation University, Ukraine), Nina Rizun (Gdansk University of Technology, Poland), Dmytro Kucherov (National Aviation University, Ukraine) and Konstantin Dergachov (National Aerospace University – Kharkiv Aviation Institute, Ukraine)
Release Date: March, 2019|Copyright: © 2019 |Pages: 486
DOI: 10.4018/978-1-5225-7709-6
ISBN13: 9781522577096|ISBN10: 1522577092|EISBN13: 9781522577102|ISBN13 Softcover: 9781522585930
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Description & Coverage
Description:

Air traffic controllers need advanced information and automated systems to provide a safe environment for everyone traveling by plane. One of the primary challenges in developing training for automated systems is to determine how much a trainee will need to know about the underlying technologies to use automation safely and efficiently. To ensure safety and success, task analysis techniques should be used as the basis of the design for training in automated systems in the aviation and aerospace industries.

Automated Systems in the Aviation and Aerospace Industries is a pivotal reference source that provides vital research on the application of underlying technologies used to enforce automation safety and efficiency. While highlighting topics such as expert systems, text mining, and human-machine interface, this publication explores the concept of constructing navigation algorithms, based on the use of video information and the methods of the estimation of the availability and accuracy parameters of satellite navigation. This book is ideal for aviation professionals, researchers, and managers seeking current research on information technology used to reduce the risk involved in aviation.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Air Navigation System
  • Artificial Intelligence Systems
  • Big Data Technology
  • Decision Support Systems
  • Expert Systems
  • Fault-Tolerant Systems
  • Human-Machine Interface
  • Machine Learning
  • Software-Defined Networking
  • Text Mining
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