Práce a štúdie - Vydanie 17

Permanent URI for this collectionhttps://drepo.uniza.sk/handle/hdluniza/1271

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Start date: 2025Subject: search.filters.subject.human factor

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    Umelá inteligencia ako ľudský faktor v letectve
    (University of Žilina, 2025) Štrauchová, Alexandra; Veľký, Patrik
    This paper aims to examine the role of artificial intelligence (AI) in aviation, with a particular focus on its impact on decision-making and safety. The objective of the paper is to analyse the development and current state of AI technologies, including machine learning and deep learning, and to assess their application across various areas of aviation. The paper highlights the integration of AI in aircraft design and manufacturing, air traffic management, airport operations, and emerging air mobility systems such as drones and U-space. Special attention is given to the legal, ethical, and safety implications associated with AI adoption in aviation environments. The paper also addresses the interaction between human operators and AI technologies, particularly in cockpits, maintenance processes, and air traffic control. In conclusion, the paper outlines the potential benefits and challenges of AI in aviation and provides insight into its future direction and further development in the field.
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    Analýza vybraných metód zisťovania príčin nehôd v leteckej doprave
    (University of Žilina, 2025) Torozi, Arijon; Materna, Matúš
    The bachelor thesis focuses on the analysis of selected methods for determining the causes of aircraft accidents with the aim of providing a comprehensive overview. The introduction emphasizes the importance of safety in aviation, defines key concepts and categorizes hazards. Subsequently, safety strategies and accident classifications are presented, highlighting significant historical events. The core of the work consists of an analysis of traditional (flight recorders analysis, wreckage analysis, witness testimonies) and analytical methods (qualitative, quantitative, semi-quantitative), with a particular focus on methods for detecting human failures (HFACS) and accident structure (Reason's and Shell model). The conclusion evaluates and compares the analyzed methods in terms of their strengths and weaknesses and their suitability for various accidents. The application of the methods is illustrated with selected historical accidents. The results confirm that a combination of different methods is necessary for effective investigation. The thesis highlights the importance of traditional methods for data acquisition and analytical methods for identifying deeper causes. The aim of the thesis is fulfilled by providing an overview and analysis of the methods, which contributes to a better understanding of aircraft accident investigation.
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    Optimalizácia riadenia UAV: analýza ľudského faktora a jeho vplyv na bezpečnosť a efektivitu prevádzky
    (University of Žilina, 2025) Zacharová, Alexandra; Pecho, Pavol
    Currently, the use of unmanned aerial vehicles (UAVs) is on the rise, which implies that care must be taken to ensure safe operation. Safe operation depends on several factors, not only technical but also, to a significant extent, on the human factor, the human factor. This paper aims to investigate the impact of the human factor, specifically the impact of cognitive ability, stress and reaction time of pilots on stress reactions in various simulated emergency situations. The goal of the research is to optimize flight procedures and minimize the negative impact of the human factor on UAV control. In the experimental part, the research addresses the variability of heart rate (HRV) and electroencephalographic (EEG) data that were measured during UAV control in the presence of simulated critical situations. Other measured parameter such as reaction time, maneuver accuracy or stress response provide important information about the neurophysiological load of operators. Thus, the outcome of the study is to identify critical situations, analyze decision-making processes and propose streamlined training procedures for UAV operators.