Artificial Intelligence With Applications For Aircraft
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Handbook of Research on Artificial Intelligence Applications in the Aviation and Aerospace Industries by Shmelova, Tetiana,Sikirda, Yuliya,Sterenharz, Arnold Pdf
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 by Tetiana Shmelova,Yuliya Sikirda,Arnold Sterenharz Pdf
Artificial Intelligence Applications in the Aviation and Aerospace Industries by Tetiana Shmelova,Yuliya Sikirda,Arnold Sterenharz Pdf
"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"--
Artificial Intelligence in Commercial Aviation by Ricardo V. Pilon Pdf
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.
Knowledge-Based Aircraft Automation by National Aeronautics and Space Administration (NASA) Pdf
The ultimate goal of this report was to integrate the powerful tools of artificial intelligence into the traditional process of software development. To maintain the US aerospace competitive advantage, traditional aerospace and software engineers need to more easily incorporate the technology of artificial intelligence into the advanced aerospace systems being designed today. The future goal was to transition artificial intelligence from an emerging technology to a standard technology that is considered early in the life cycle process to develop state-of-the-art aircraft automation systems. This report addressed the future goal in two ways. First, it provided a matrix that identified typical aircraft automation applications conducive to various artificial intelligence methods. The purpose of this matrix was to provide top-level guidance to managers contemplating the possible use of artificial intelligence in the development of aircraft automation. Second, the report provided a methodology to formally evaluate neural networks as part of the traditional process of software development. The matrix was developed by organizing the discipline of artificial intelligence into the following six methods: logical, object representation-based, distributed, uncertainty management, temporal and neurocomputing. Next, a study of existing aircraft automation applications that have been conducive to artificial intelligence implementation resulted in the following five categories: pilot-vehicle interface, system status and diagnosis, situation assessment, automatic flight planning, and aircraft flight control. The resulting matrix provided management guidance to understand artificial intelligence as it applied to aircraft automation. The approach taken to develop a methodology to formally evaluate neural networks as part of the software engineering life cycle was to start with the existing software quality assurance standards and to change these standards to include neural network dev...
Artificial Intelligence by Cherry Bhargava,Pradeep Kumar Sharma Pdf
This comprehensive reference text discusses the fundamental concepts of artificial intelligence and its applications in a single volume. Artificial Intelligence: Fundamentals and Applications presents a detailed discussion of basic aspects and ethics in the field of artificial intelligence and its applications in areas, including electronic devices and systems, consumer electronics, automobile engineering, manufacturing, robotics and automation, agriculture, banking, and predictive analysis. Aimed at senior undergraduate and graduate students in the field of electrical engineering, electronics engineering, manufacturing engineering, pharmacy, and healthcare, this text: Discusses advances in artificial intelligence and its applications. Presents the predictive analysis and data analysis using artificial intelligence. Covers the algorithms and pseudo-codes for different domains. Discusses the latest development of artificial intelligence in the field of practical speech recognition, machine translation, autonomous vehicles, and household robotics. Covers the applications of artificial intelligence in fields, including pharmacy and healthcare, electronic devices and systems, manufacturing, consumer electronics, and robotics.
Aviation Artificial Intelligence by U S Military,Department of Defense (Dod),Colin Sattler Pdf
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.
Handbook of Research on AI Methods and Applications in Computer Engineering by Kaddoura, Sanaa Pdf
The development of artificial intelligence (AI) involves the creation of computer systems that can do activities that would ordinarily require human intelligence, such as visual perception, speech recognition, decision making, and language translation. Through increasingly complex programming approaches, it has been transforming and advancing the discipline of computer science. The Handbook of Research on AI Methods and Applications in Computer Engineering illuminates how todays computer engineers and scientists can use AI in real-world applications. It focuses on a few current and emergent AI applications, allowing a more in-depth discussion of each topic. Covering topics such as biomedical research applications, navigation systems, and search engines, this premier reference source is an excellent resource for computer scientists, computer engineers, IT managers, students and educators of higher education, librarians, researchers, and academicians.
Research Anthology on Reliability and Safety in Aviation Systems, Spacecraft, and Air Transport by Management Association, Information Resources Pdf
As with other transportation methods, safety issues in aircraft can result in a total loss of life. Recently, the air transport industry has come under immense scrutiny after several deaths occurred due to aircraft design and airlines that allowed improperly inspected aircraft to fly. Spacecraft too have found errors in system software that could lead to catastrophic failure. It is imperative that the aviation and aerospace industries continue to revise and refine safety protocols from the construction and design of aircraft, to secure and improve aviation systems, and to test and inspect aircraft. The Research Anthology on Reliability and Safety in Aviation Systems, Spacecraft, and Air Transport is a vital reference source that examines the latest scholarly material on the use of adaptive and assistive technologies in aviation to establish clear guidelines for the design and implementation of such technologies to better serve the needs of both military and civilian pilots. It also covers new information technology use in aviation systems to streamline the cybersecurity, decision making, planning, and design processes within the aviation industry. Highlighting a range of topics such as air navigation systems, computer simulation, and airline operations, this multi-volume book is ideally designed for pilots, scientists, engineers, aviation operators, air traffic controllers, air crash investigators, teachers, academicians, researchers, and students.
The Internet of Drones by Arun Solanki,Sandhya Tarar,Simar Preet Singh,Akash Tayal Pdf
In recent years, drones have been integrated with the Internet of Things to offer a variety of exciting new applications. Here is a detailed exploration of adapting and implementing Internet of Drones technologies in real-world applications, emphasizing solutions to architectural challenges and providing a clear overview of standardization and regulation, implementation plans, and privacy concerns. The book discusses the architectures and protocols for drone communications, implementing and deploying of 5G-drone setups, security issues, deep learning techniques applied on real-time footage, and more. It also explores some of the varied applications, such as for monitoring and analysis of troposphere pollutants, providing services and communications in smart cities (such as for weather forecasting, communications, transport, safety and protection), for disaster relief management, for agricultural crop monitoring, and more.
