Digital Production and Artificial Intelligence in the Aircraft Industry

Тихонов, А. И.; Sazonov, Andrey A.; Kuzmina-Merlino, Irina

doi:10.3103/s1068798x22040293

Cited by 12 publications

(4 citation statements)

References 10 publications

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“…Special representation is the basis of text distribution in digital library and an important function of information organization and management in digital library, and a good text feature representation plays a decisive role in the performance of text classification tasks in digital libraries. Currently, scientists have proposed a variety of esthetic models: Boolean models, probabilistic models, vector space models, and various hybrid models [13]. Among them, vector space modeling has been widely used in recent years and is one of the most effective methods to describe text features.…”

Section: Overview Of Traditional Text Classificationmentioning

confidence: 99%

Digital Library Information Integration System Based on Big Data and Deep Learning

2022

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In order to solve the defects of traditional text classification in digital library, the author proposes a method based on deep learning in the field of big data and artificial intelligence, which is applied to the digital library information integration system. On the basis of systematically sorting out the traditional text classification of digital library of this method, this paper proposes a digital library text classification model based on deep learning and uses the word vector method to represent text features, the convolutional neural network in the deep learning model is used to extract the essential features of text information, and experimental verification is carried out. Experimental results show that deep learning-based text classification model can effectively improve the accuracy (average 94.8%) and recall (average 94.5%) of text classification in digital libraries; compared with the traditional text classification method, the text classification method based on deep learning improves the average F1 value by about 11.6%. Conclusion. This method can not only improve the intelligence of the internal business of the digital library, but also improve the efficiency and quality of the information service of the digital library.

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Section: Overview Of Traditional Text Classificationmentioning

confidence: 99%

Digital Library Information Integration System Based on Big Data and Deep Learning

2022

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“…Statistical analysis revealed the links between the distribution of answers to the awareness questions and the gender and financial status of respondents [28; 29]. All this is becoming particularly relevant in the age of digital technologies [30][31][32][33][34][35][36][37][38]. Estimates of youth awareness in the responses of young men were shifted in favor of choosing answers with the options "very good" and "generally good", while girls more often chose the options "not good enough" and "very bad" (χ2=12.916 at p<0.012).…”

Section: Resultsmentioning

confidence: 99%

Social assessments of the safety of educational institutions in youth in the context of gender and material security

Eflova,

Savelieva

2023

E3S Web Conf.

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This study investigates the social assessments of safety in educational institutions among young individuals, considering gender and material security factors. The research, conducted between October 2022 and May 2023, involved surveys and interviews with 1183 students aged 18 to 27. The study revealed that while most students assessed their awareness of safety positively, there were disparities between genders and financial statuses. Despite generally positive assessments, nearly 37% of students experienced fear about safety in educational institutions, with 6.8% experiencing constant fear. The authors' study of student youth demonstrated a high level of self-assessments of awareness of the rules of behavior in case of a Columbine, a high assessment of the security of educational institutions and, at the same time, a high level of fears of an armed attack. It was found that lower assessments of awareness, security of educational institutions and higher levels of fear were observed among girls as compared to boys. Youth with low material status have lower assessments of awareness, security compared to youth with medium and high financial status and experience a higher level of fear of attack. Youth see the main way to solve the problem in strengthening security, access control and technical equipment.

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“…The International Civil Aviation Organization defends the obligation to comply with the following funding clauses: non-discrimination; a reasonable balance of income and expenses; availability of information; joint discussion with customers. It seems to us unacceptable to shift responsibility for the revenues not received by the airport management onto the shoulders of aviation companies and, directly, passengers [19]. 3.…”

Section: Methodsmentioning

confidence: 99%

Major trends in aviation industry during COVID-19

Тихонов

Sazonov

2022

J Appl Eng Science

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The purpose of the research in this article is to identify the main trends in the development of aviation industry during COVID-19 pandemic. The authors identify the main problems facing aviation industry in the context of the developing world crisis and possible ways to solve them. As a working hypothesis, it is proposed to form the basic concepts necessary for preliminary preparation and implementation of operational measures to restore passenger and cargo aviation. Taking into account the main threats facing the aviation industry during COVID-19, the article proposes the organizational and economic mechanisms to restore the industry. Short-term, medium-term and long-term recovery scenarios are considered, taking into account the relevant factors that have a certain impact. The study is based on a comprehensive analysis of documentary data provided by government agencies in a number of European countries. Openly printed materials from the International Civil Aviation Organization (ICAO) are also used in the analytical report "Consequences of new coronavirus COVID-19 in civil aviation: analysis of economic impact". The research methods are working papers from the European and North Atlantic Offices of ICAO aimed at rebuilding the aviation industry after COVID-19 pandemic. An analysis of global and Russian passenger traffic for Q1-Q4 (quartile) of 2021 and a development forecast for Q1-Q2 of 2022 is provided. The scenario problems facing the aviation industry in the context of COVID-19 crisis are identified. There are key concepts necessary to start preparation and implementation of effective measures to restore the aviation industry.

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Digital Production and Artificial Intelligence in the Aircraft Industry

Cited by 12 publications

References 10 publications

Digital Library Information Integration System Based on Big Data and Deep Learning

Digital Library Information Integration System Based on Big Data and Deep Learning

Social assessments of the safety of educational institutions in youth in the context of gender and material security

Major trends in aviation industry during COVID-19

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