Aviation Artificial Intelligence


Aviation Artificial Intelligence
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Artificial Intelligence In Commercial Aviation


Artificial Intelligence In Commercial Aviation
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Author : Ricardo V. Pilon
language : en
Publisher: Taylor & Francis
Release Date : 2023-07-10

Artificial Intelligence In Commercial Aviation written by Ricardo V. Pilon and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-10 with Transportation categories.


This book is a must read for aviation managers and all stakeholders that are interested in improving the business performance of airlines. In this book, the first of its kind on AI in Commercial Aviation, the author outlines how Machine Learning and AI are accelerating and improving the performance of airlines. Moreover, the author shares insights into many new use cases that emerging technology can deliver. He tackles all crucial functions from air navigation, flight operations, to sales, distribution, cargo, retailing, and commercial optimization. He then looks forward to blockchain and the metaverse and its opportunities. With connected devices and the Internet of Everything (IoE), airlines can become retailers, sell, deliver, and service holistic experiences tailored to individuals in real time. This requires airlines to modernize processes and practices supported by decision intelligence (AI) that ingests sophisticated insights and executes service automation in real time. Transforming airlines from a production to a services-based execution also requires departments to be aligned along overriding customer experience and profitability goals. The book demonstrates how AI can be deployed to redesign airline organization as well. The author also describes the next wave of business transformation around the integration of commercial functions using Composite AI at enterprise level. With his holistic understanding and experience in the airline industry, the author provides valuable insights and helps managers understand how to embrace ML and AI and contribute to future commercial aviation and cargo success.



Handbook Of Research On Artificial Intelligence Applications In The Aviation And Aerospace Industries


Handbook Of Research On Artificial Intelligence Applications In The Aviation And Aerospace Industries
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Author : Shmelova, Tetiana
language : en
Publisher: IGI Global
Release Date : 2019-10-11

Handbook Of Research On Artificial Intelligence Applications In The Aviation And Aerospace Industries written by Shmelova, Tetiana and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-11 with Computers categories.


With the emergence of smart technology and automated systems in today’s world, artificial intelligence (AI) is being incorporated into an array of professions. The aviation and aerospace industry, specifically, is a field that has seen the successful implementation of early stages of automation in daily flight operations through flight management systems and autopilot. However, the effectiveness of aviation systems and the provision of flight safety still depend primarily upon the reliability of aviation specialists and human decision making. The Handbook of Research on Artificial Intelligence Applications in the Aviation and Aerospace Industries is a pivotal reference source that explores best practices for AI implementation in aviation to enhance security and the ability to learn, improve, and predict. While highlighting topics such as computer-aided design, automated systems, and human factors, this publication explores the enhancement of global aviation security as well as the methods of modern information systems in the aeronautics industry. This book is ideally designed for pilots, scientists, engineers, aviation operators, air crash investigators, teachers, academicians, researchers, and students seeking current research on the application of AI in the field of aviation.



Handbook Of Research On Artificial Intelligence Applications In The Aviation And Aerospace Industries


Handbook Of Research On Artificial Intelligence Applications In The Aviation And Aerospace Industries
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Author : Tetiana Shmelova
language : en
Publisher:
Release Date : 2020

Handbook Of Research On Artificial Intelligence Applications In The Aviation And Aerospace Industries written by Tetiana Shmelova and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with Aeronautics categories.




Automation Max


Automation Max
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Author : Peter H. Collins
language : en
Publisher: Algora Publishing
Release Date : 2020-05-01

Automation Max written by Peter H. Collins and has been published by Algora Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-05-01 with Transportation categories.


Before there was Game of Thrones there was a sophisticated Arthurian romance replete with brave knights, noble ladies, temptation, seduction, blame, shame, and a memorable beheading game in an obscure Middle English dialect. This new edition is closely translated from the original, presenting the delightful and insightful story of a flawed hero, and a fascinating villain or two, with verve and vital energy.



Artificial Intelligence In Human Resource Management Opportunities For The Aviation Industry


Artificial Intelligence In Human Resource Management Opportunities For The Aviation Industry
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Author : Julia Werner
language : en
Publisher: GRIN Verlag
Release Date : 2021-07-19

Artificial Intelligence In Human Resource Management Opportunities For The Aviation Industry written by Julia Werner and has been published by GRIN Verlag this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-19 with Computers categories.


Seminar paper from the year 2019 in the subject Computer Sciences - Artificial Intelligence, grade: 70, City University London, language: English, abstract: This assignment researches the options of Artificial Intelligence (AI) in Human Resource Management. Within this context, this study describes, in particular, the transformation of the aviation industry in this context. AI will transform jobs in many industries in the future. Moreover, as change takes place everywhere and at an increasingly faster pace, the need for organisations to follow up is crucial if one does not want to be thwarted by competition. Notably, in people management, there are many approaches on how to innovate tasks and enhance the effectiveness of HR, HR business partners and HR administrative roles. Automation will take over many jobs and processes will also be more automated, augmented and amplified. It will be exciting how roles in HR will change. AI might certainly replace some jobs, but also new ones will arise. Indeed, the transformation in HR will provide many opportunities for the aviation industry



Aviation Artificial Intelligence


Aviation Artificial Intelligence
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Author : U S Military
language : en
Publisher:
Release Date : 2019-11

Aviation Artificial Intelligence written by U S Military and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11 with categories.


As the Army prepares itself to fight in the Multi-Domain Battle environment, it must assume that enemies will contest every domain and units will operate in more austere conditions, both physically and informationally. Increased sensor capabilities, proliferated and dispersed air defense systems, and contested electromagnetic spectrums challenge the air domain and severely restrict the freedom of action to which the United States has become accustomed. As the Army invests in research initiatives to mitigate the threats posed by peer competitors and develop technologies that return a marked advantage for the joint forces, Artificial Intelligence and increasing autonomy offer significant possibilities. Simultaneously, however, increasing sensor capabilities threaten remotely piloted and autonomous systems and their significant electromagnetic emissions. With aviation assets operating across multiple areas of operations within the theater, it is critical that they possess the appropriate technologies and effects to mitigate threat capabilities and increase their survivability.This compilation also includes a reproduction of the 2019 Worldwide Threat Assessment of the U.S. Intelligence Community.1. Introduction * Literature Review: Why Autonomy and Artificial Intelligence? * Defining the Future Environment * Methodology * 2. Current Unmanned Aerial Vehicles Vulnerabilities * Autonomous Aircraft Untethered * Inherent Risks of Piloted Aircraft * Operational Benefits of Autonomous Aircraft * Human and AI Teaming * 3. Framing the Future Scenario * Multi-Domain Battle's Effect on Current UAVs * Multi-Domain Battle's Effect on Autonomous Aircraft * Multi-Domain Battle's Effect on Human/AI Teaming * 4. Recommendations and ConclusionTo be any more efficient than a normal vehicle, autonomous vehicles must possess a certain degree of Artificial Intelligence (AI). Having vehicles that perform their intended functions with little or no guidance from a human controller is highly desirable for any battlefield commander. A system that can execute a set of pre-determined tasks by itself frees a human from the need to control it, and potentially removes that human from significant risk. The potential benefits of Artificial Intelligence extend beyond autonomous operations, including rapid calculations and decision aiding, and management of large amounts of information. The inclusion of Artificial Intelligence and autonomy into the aviation field is arguably not new but has a profound impact, nonetheless. Aircraft avionics and flight control systems have long included various forms of autopilot or flight control coupling that allows the flight computer to manipulate the control surfaces and thereby control the aircraft. Likewise, onboard flight management systems assist pilots in making calculations to determine appropriate flight times, speeds, and distances. Emerging technologies, however, are introducing capabilities that require significantly smaller amounts of pilot or controller input. Department of Defense (DoD) initiatives in multiple services are testing autonomous aircraft for resupply and sustainment missions. The Lockheed-Martin corporation, working with the U.S. Marine Corps, conducted extended field-testing of a semi-autonomous Kaman K-MAX utility helicopter in Afghanistan, opening the door to many other potential applications for unmanned rotary-wing aircraft.



Aviation Artificial Intelligence


Aviation Artificial Intelligence
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Author : U S Military
language : en
Publisher: Independently Published
Release Date : 2019-05-09

Aviation Artificial Intelligence written by U S Military and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-05-09 with categories.


As the Army prepares itself to fight in the Multi-Domain Battle environment, it must assume that enemies will contest every domain and units will operate in more austere conditions, both physically and informationally. Increased sensor capabilities, proliferated and dispersed air defense systems, and contested electromagnetic spectrums challenge the air domain and severely restrict the freedom of action to which the United States has become accustomed. As the Army invests in research initiatives to mitigate the threats posed by peer competitors and develop technologies that return a marked advantage for the joint forces, Artificial Intelligence and increasing autonomy offer significant possibilities. Simultaneously, however, increasing sensor capabilities threaten remotely piloted and autonomous systems and their significant electromagnetic emissions. With aviation assets operating across multiple areas of operations within the theater, it is critical that they possess the appropriate technologies and effects to mitigate threat capabilities and increase their survivability.This compilation includes a reproduction of the 2019 Worldwide Threat Assessment of the U.S. Intelligence Community.1. Introduction * 2. Literature Review: Why Autonomy and Artificial Intelligence? * 3. Defining the Future Environment * 4. Methodology * 5. Current Unmanned Aerial Vehicles Vulnerabilities * 6. Autonomous Aircraft Untethered * 7. Inherent Risks of Piloted Aircraft * 8. Operational Benefits of Autonomous Aircraft * 9. Human and AI Teaming * 10. Framing the Future Scenario * 11. Multi-Domain Battle's Effect on Current UAVs * 12. Multi-Domain Battle's Effect on Autonomous Aircraft * 13. Multi-Domain Battle's Effect on Human/AI Teaming * 14. Recommendations and ConclusionTo be any more efficient than a normal vehicle, autonomous vehicles must possess a certain degree of Artificial Intelligence (AI). Having vehicles that perform their intended functions with little or no guidance from a human controller is highly desirable for any battlefield commander. A system that can execute a set of pre-determined tasks by itself frees a human from the need to control it, and potentially removes that human from significant risk. The potential benefits of Artificial Intelligence extend beyond autonomous operations, including rapid calculations and decision aiding, and management of large amounts of information. The inclusion of Artificial Intelligence and autonomy into the aviation field is arguably not new but has a profound impact, nonetheless. Aircraft avionics and flight control systems have long included various forms of autopilot or flight control coupling that allows the flight computer to manipulate the control surfaces and thereby control the aircraft. Likewise, onboard flight management systems assist pilots in making calculations to determine appropriate flight times, speeds, and distances. Emerging technologies, however, are introducing capabilities that require significantly smaller amounts of pilot or controller input. Department of Defense (DoD) initiatives in multiple services are testing autonomous aircraft for resupply and sustainment missions. The Lockheed-Martin corporation, working with the U.S. Marine Corps, conducted extended field-testing of a semi-autonomous Kaman K-MAX utility helicopter in Afghanistan, opening the door to many other potential applications for unmanned rotary-wing aircraft.



Artificial Intelligence Applications In The Aviation And Aerospace Industries


Artificial Intelligence Applications In The Aviation And Aerospace Industries
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Author : Tetiana Shmelova
language : en
Publisher:
Release Date : 2020

Artificial Intelligence Applications In The Aviation And Aerospace Industries written by Tetiana Shmelova and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with Aeronautics categories.


"This book explores best practices for AI implementation in aviation to enhance security and the ability to learn, improve, and predict. It also examines the enhancement of global aviation security as well as the methods of modern information systems in the aeronautics industry"--



Applied Cognitive Task Analysis In Aviation


Applied Cognitive Task Analysis In Aviation
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Author : Thomas L. Seamster
language : en
Publisher: Routledge
Release Date : 2017-03-02

Applied Cognitive Task Analysis In Aviation written by Thomas L. Seamster and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-03-02 with Business & Economics categories.


Due to the requirements of automatic system design, and new needs for the training of complex tasks, Cognitive Task Analysis (CTA) has been used with increasing frequency in recent years by the airline industry and air traffic control community. Its power is reflected in the literature on professional training and systems design, where CTA is often cited as one of the most promising new technologies, especially for the complex cognitive tasks now confronting those working in aviation. The objective of this book is to bridge the gap between research and practice, to make what we know about CTA available to practitioners in the field. The book focuses on cognitive psychology and artificial intelligence analyses of aviation tasks. It is designed to help readers identify and solve specific design and training problems, in the flight deck, air traffic control and operations contexts. Distilling experience and guidelines from the best aviation cognitive analyses in accessible form, it is the first comprehensive volume on CTA, and is written for practitioners of cognitive analysis in aviation. It provides an overview of analyses to date; methods of data collection; and recommendations for designing and conducting CTA for use in instructional design, systems development, and evaluation. The first part of the book provides the principles and foundations of CTA, describing traditional approaches to task analysis and ways that cognitive analyses can be integrated with the analysis and development processes. The next part details how to: select the appropriate method or methods; determine job tasks that can be trained for automatic performance; extract knowledge structures; analyse mental models; and identify the decision-making and problem-solving strategies associated with experienced job performance. The authors also describe when to use and how to design and conduct a cognitive task analysis; how to use CTA along with traditional task analysis and ISD; and how to use CTA in training program development and systems design, as well as in personnel selection and evaluation. The current demand for cognitive analyses makes this a timely volume for those in aviation and, more generally, the industrial development and training communities. Readers will find this a thorough presentation of cognitive analyses in aviation and a highly usable guide in the design, implementation and interpretation of CTA. The book will be useful to instructional developers, aviation equipment and systems designers, researchers, government regulatory personnel, human resource managers, instructors, pilots, air traffic controllers, and operations staff.



Automated Systems In The Aviation And Aerospace Industries


Automated Systems In The Aviation And Aerospace Industries
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Author : Shmelova, Tetiana
language : en
Publisher: IGI Global
Release Date : 2019-03-22

Automated Systems In The Aviation And Aerospace Industries written by Shmelova, Tetiana and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-03-22 with Technology & Engineering categories.


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.