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Subject: search.filters.subject.Artificial intelligence

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    Inovatívne technológie a nástroje v procese údržby lietadiel
    (University of Žilina, 2024) Štefaňák, Mattiás; Janovec, Michal
    This master thesis aims to analyze and evaluate innovative technologies and tools through new aircraft maintenance. Through a series of extensive theoretical studies and data obtained during real-life cases, this work will aim to identify the latest trends behind this process and evaluate the impact they have on production, safety, maintenance costs. The most complex theoretical section of the work will be related to such an area as a current state of aircraft maintenance, which in turn will have to integrate dependent trends, such as predictive maintenance, digitization, and state-dependent methods. This part of the work will present the latest technological trends of the industry, such as artificial intelligence and machine learning, 3D printing, augmented reality and virtual reality .The main part of the work will examine the advantages and disadvantages of these technologies, forms of use of AMO technologies, and proposals for improving technologies, such as improving the current use of electronic tablets in the maintenance process, as well as a proposal for the use of AI within the anti-collision system for movement and manipulation of flight on the ground.
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    Artificial intelligence and its use in air transport
    (University of Zilina, 2022) Bendík, Dávid; Novák, Andrej
    In recent years, modern technologies have found large applications in sectors such as engineering, healthcare, information technology, robotics, and so forth. One important field in the use of such modern technologies is the field of air transport, where the main objective of using these technologies is to facilitate work for people, make individual tasks more efficient and faster, or reduce the risks associated with human error. In this paper, we will look at artificial intelligence and its use in aviation. Despite the rapid pace of improvement, artificial intelligence is still finding its way to reach its full potential. The history of artificial intelligence dates back to ancient times when many philosophers wondered whether a machine could think. The answer is found in the second half of the 20th century, when, besides theoretical knowledge, we can also observe the first intelligent machines. There is no clear and single correct definition for artificial intelligence, so the subject of the next section is to define artificial intelligence from different sources. The following section details the difference between deep learning and machine learning, comparing their main differences and applications in aviation. The analysis of the current state of application of artificial intelligence in aviation represents the core part of this paper. The emphasis in the analysis is put mainly on applications in the field of airports, air traffic management and safety. In each of these areas, the benefits of using AI are evaluated based on already established AI-enabled technologies. Finally, by analysing the sources available and those applied in our work with the use of a mathematical model, we assess how important the role artificial intelligence currently plays in air transport.
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    Implementation of artificial intelligence at airports
    (University of Zilina, 2021) Jágerský, Martin; Tomová, Anna
    This paper deals with the trend of implementation artificial intelligence systems at airports, its meaning and impact on the operational performance and functioning of the airports themselves. After summarizing the theoretical knowledge and examining the current state of the problem, there is created a raster of selected crucial operational processes of airports in which artificial intelligence has been implemented so far. The processing of this raster is based primarily on findings of the implementation of AI systems at five selected hub airports. In the paper, there is also examined a status and prospects of the implementation of artificial intelligence in the form of a questionnaire, especially at airports with a smaller number of handled passengers. This paper also discusses the operational and security implications of this implementation, such as faster check-in, easier baggage handling, easier traveling with biometric technologies, improved security controls at airports, improved operational performance with airport robots and more effective elimination of spreading the diseases at airports. The subject of possible economic and sociological consequences is also approached, due to the possible change in the nature of job from the point of view of airport employees and the creation of a certain kind of cooperation between them and artificial intelligence. The conclusions of this paper also include a proposal for a stronger representation of this area in the study program "air transport" with subsequent possible innovation or creation of new school subjects, in order to gain a deeper knowledge to new graduates in this field.