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Livshits Alexander Valerievich

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E–mail: livnet@list.ru 

Place of work: Irkutsk State Transport University

Academic degree: Doctor of Technical Sciences

Academic status:  Full professor

Post: Head of the Department of Automation of Production Processes

Scientific major: high-frequency electrothermy, automation, informatics and computer technology 

Important publications:

  1. Livshits A.V. Automated research of the process of impregnation of elastomersElectrical technologies and electrical equipment in the agro-industrial complex. 2022. V. 69. No. 1 (46). pp. 72-78.
  2. Livshits A.V. Automated control of the production process of antifriction polymer materials // Journal of Physics: Conference Series. Krasnoyarsk Science and Technology City Hall of the Russian Union of Scientific and Engineering Associations. Krasnoyarsk, Russia, 2021, p. 52-72.

English mass media text on healthy nutrition and its main features (based on the culinary recipes)

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DOI 10.51955/2312-1327_2023_3_116

Fairuz B. Akbaeva

Abstract. The article is devoted to the analysis of the English mass media text on healthy nutrition and ways to implement its key parameters. Based on the texts of culinary recipes, widely presented in British and American magazines, as well as electronic media, the specificity of their language design is shown. The research material is culinary recipes published in the BBC good food, Cooking light, Olive magazines and posted on the websites of these publishers. The author considers a culinary recipe as a full-fledged text, one of the forms of realization of the mass media discourse of healthy lifestyles in general and the mass media nutritional discourse, in particular, and highlights its key text-forming features, which include: information content, coherence, semantic integrity, completeness, articulation. Taking into account the results of the sample analysis we point out that the English culinary recipes are characterized by: the use of emotional and evaluative vocabulary, the prevalence of nouns, adjectives, verbs, as well as the use of simple sentences, including interrogative and incentive constructions. The parameters of the culinary recipe identified in the course of the study are determined and subordinated to its pragmatics – to attract the attention of the audience and promote self-preparation of a particular dish.

Key words: healthy lifestyle discourse, culinary recipe, mass media discourse, nutritional discourse, structural features, text on healthy eating, text-forming features, language features.

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Language and speech redundancy in the conditions of intercultural communication

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DOI 10.51955/2312-1327_2023_3_102

Andrey A. Gurenkov

Abstract. The article analyses different manifestations of linguistic redundancy in the context of intercultural communication, the participants of which are native speakers of English and non-native speakers of English. The views of Russian and foreign authors on the classification of language redundancy at the levels of language and speech, as well as analyzing examples of redundancy in spoken and written texts are presented. The result is a detailed classification of language redundancy in intercultural communication both at the level of language structure – grammatical and semantic – and in speech, where redundancy is manifested at the phonetic, orthographic, lexical and syntactic levels. In particular, it can be seen in changes in intonation in speech, pronunciation and spelling errors, lexical repetition and discourse words, the use of words from the native language or other languages, as well as in repetition of the whole sentences with a similar meaning when using similar vocabulary. Moreover, the appearance of redundancy in speech in the framework of intercultural communication is not only a natural process, but it can also serve as a tool to achieve communication goals, as it facilitates the process of speaking and listening.

Key words: language redundancy, intercultural communication, native speaker and non-native speaker, English, language and speech, repetition

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Gurenkov Andrey Aleksandrovich

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E–mail: andrei.gurenkov@mail.ru

Place of study: Irkutsk State University, Irkutsk, Russia

Status: PhD Student

Specialty from nomenclature of scientific specialties (Code of Higher Attestation Commission):  10.02.19 – Theory of Language, 5.9.8 – Theoretical, applied and comparative linguistics.

Scientific major: language redundancy, cross-cultural communication 

Important publications:

  1. Gurenkov A. A. Communicative strategies of communication in English as lingua franca by the means of the messengers in the international trade / A. A. Gurenkov // Izvestiya IGPU. – 2022. – № 2(165). – Pp. 186–190.
  2. Gurenkov A. A. Linguistic redundancy as a means to achieve communication objectives in the native-speaker non-speaker model / A. A. Gurenkov // Modern Scientist. – 2022. – № 4. – Pp. 98–103.

Increasing airfield capacity with the integrated aircraft arrival/departure manager (AMAN/DMAN)

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DOI 10.51955/2312-1327_2023_3_30

Alexander Yu. Knyazhsky

Alexander P. Plyasovskih

Alexander V. Tarasenko

Abstract. The article proposes a method for increasing the capacity of an aerodrome and reducing the average delay of arriving / departing aircraft by optimizing the queue of them, taking into account the specified minimum allowable time intervals between aircraft, depending on their weight categories of movement stages (take-off landing). An analysis of the effectiveness of this method was carried out, for the evaluation of which a stream of events (departures and arrivals) with a Poisson distribution was used. The dependences of the average delays of departures and arrivals on the flow intensity of departures and arrivals are estimated as well as the potential for increasing the aerodrome capacity by this method. The effectiveness of the departure control system was compared in terms of absolute priority for arriving aircraft and in terms of the equal priority for arriving and departing aircraft. It is shown that an integrated arrival/departure manager with the equal priority for departing and arriving aircraft is more efficient than with absolute priority for arriving aircraft.

Key words: AMAN, DMAN, air traffic control, departures, arrivals, ATC AS, capacity.

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Comparative analysis of methods for developing aviation adaptive systems and the generalized MFTA/GDTA/CTA/CWA METHOD

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DOI 10.51955/2312-1327_2023_3_45

Gennadiy V. Kovalenko

Ilya A. Yadrov

Abstract. The results of implementing automated technologies in various areas of the air transportation system demonstrate a positive impact of automation on the level of safety and efficiency of flights. However, this leads to a situation where the capabilities of modern technology significantly exceed the limited capabilities of a human operator: this fact indicates the necessity of applying a special approach directed at ensuring favorable interaction with humans in creating automated aviation systems. The paper is devoted to the methodology issues in the field of creating aviation adaptive systems (AS) and provides a comparative analysis of the most popular analytical methods for AS development. Additionally, a generalized method for conducting the MFTA/GDTA/CTA/CWA analysis is proposed, which is developed based on the methods of dismemberment, morphological analysis, and combination. The proposed generalized method involves the following stages: 1) analysis of goals and tasks; 2) analysis of subtasks and requirements for ensuring situational awareness; 3) cognitive analysis. As a result of these stages, the list of the main tasks of the system, a complete structural scheme of the developed AS and a cognitive analysis scheme, which contributes to determining the most probable errors of the operator for each critical stage of system functioning, are created. The advantages of the proposed generalized method lie in the fact that its implementation focuses on ensuring the operator’s situational awareness, and allows for the evaluation of risks caused by the external environment of the system functioning in order to determine the optimal level of adaptation and the way to support the crew members of the aircraft by the automation at each stage of their interaction.

Keywords: automation, aviation automatics, human-machine systems, adaptive systems, analysis methods, MFTA, HTA, GDTA, CTA, CWA.

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Kovalenko Gennadiy Vladimirovich

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E–mail: kgvf@inbox.ru

Place of work: Saint Petersburg State University of Civil Aviation named after Air Chief Marshal A.A. Novikov, Saint Petersburg, Russia

Academic degree: Doctor of  Technical Sciences

Academic status: Professor

Post: Professor of the Department of flight operations and aviation safety

Specialty from nomenclature of scientific specialties (Code of Higher Attestation Commission):  05.22.14 – air transport  operation.

Scientific major: flight operation, flight safety, professional training of flight personnel.

Important publications:

  1. Kovalenko G. V. Flight operation: Textbook / G. V. Kovalenko, A. L. Mikinelov, V. E. Chepiga; Ed. G. V. Kovalenko. – St. Petersburg: Nauka, 2016. – 463 p.
  2. Kovalenko G. V. Flight operation. Part II / V. Kovalenko. – St. Petersburg: Politekhnika, 2012. – 354 p.
  3. Kovalenko G. Experimental validation for the training method and mathematical model of the pilot skill formation in maintenance of attitude orientation / G. Kovalenko, M. Barabanov, V. Balyasnikov, M. Smurov, V. Chepiga // Transport Problems International Scientific Journal. – 2017. – Volume 12, Issue 4. – P.127-140.
  4. Kovalenko G. V. Possible solutions to reduce the negative impact of human factors on flight safety // M. Y. Smurov, O. V. Arinicheva, V. V. Balyasnikov, V. E. Chepiga // Journal of Industrial Pollution Control. – 2017. № 33(1). pp. 1195-1201.
  5. Kovalenko G. V. Methods of teaching helicopter pilots the skills of safe landing outside an airfield under conditions of uncertainty / G. V. Kovalenko, I. S. Murav’ev; Ed. G. V. Kovalenko. – St. Petersburg: Nauka, 2017. – 142 p.
  6. Kovalenko G. V. Methodology for Training Pilots to Control a Highly Automated Aircraft Using Cognitive-Information Converters of Activity Algorithms / G. V. Kovalenko, I. S. Murav’ev, K. A. Kuts // Russian Aeronautics. – 2023. – Vol. 66, No. 1. – pp. 36-42.
  7. Kovalenko G. V. Intelligent Adaptive Flight Crew Decision Support System for Thunderstorm Avoidance / G. V. Kovalenko, I. A. Yadrov, K. A. Kuts // Russian Aeronautics. – 2023. – Vol. 66, No. 1. – pp. 552-559.
  8. Kovalenko G. V. Application of machine learning algorithms in aviation automation to implement adaptation caused by the current state of the pilot / G. V. Kovalenko, I. A. Yadrov // Bulletin of the St. Petersburg State University of Civil Aviation. – 2023. – № 2 (39). – P. 24-40.
  9. Kovalenko G. V. Theoretical aspects of improving the efficiency of meteorological support of air transportation in the arctic region / G. V. Kovalenko, N. O. Moiseeva, L. Yu. Belousova // Collection of materials from the XXVII International Coastal Conference “Arctic Shores”. G. Murmansk, 24-29 September 2018. – Murmansk: MAGU, 2018. – P. 349-352.
  10. Kovalenko G. V. Increase in the durability of the tool, utilized in aviation machine building and with the reconditioning of the air vessels / V. Kovalenko, D. A. Ivanov // AER-Advances in Engineering Research. – 2019. – Vol. 188. – pp. 179-183.
  11. Kovalenko G. V. Methodological issues of improving the efficiency of meteorological support for regional air transportation / G. V. Kovalenko, N. O. Moiseeva // AER-Advances in Engineering Research. – 2019. – 188. – pp. 236-241.
  12. Kovalenko G. V. Improving diagnostics and forecasting of the technical condition of aircraft structural elements by taking into account the impact of non-stationary gas flows / V. Kovalenko, D. A. Ivanov // High-Tech and Innovations in Research and Manufacturing (HIRM-2020). Journal of Physics: Conference Series 1582 (2020) 012047IOP Publishing doi:10.1088/1742-6596/1582/1/0120472.
  13. Kuts K. A. Enroute Alternate Planning Minima Determination Method Based on METAR Database Analysis / K. A. Kuts, G. V. Kovalenko // Ninth World Congress «Aviation in the XXI-st Century». – Kyiv, Ukraine; Lecture Notes in Mechanical Engineering (LNME), Springer, 2021. – pp. 559-573, https://doi.org/10.1007/978-3-030-85057-9_46.
  14. Kuts K. A. Boeing 777 Fleet Statistical Contingency Fuel Determination on Fixed Routes / K. A. Kuts, G. V. Kovalenko // Russian Aeronautics. – 2021. – Vol. 64, № 4. – P. 583-590.
  15. Kovalenko G., Lobar S., Muravyev I., Turintsev S. Assessment of Aircraft Conditions in Flight // In: Gorbachev O. A., Gao X., Li B. (eds) Proceedings of 10th International Conference on Recent Advances in Civil Aviation. Lecture Notes in Mechanical Engineering. Singapore; Springer, 2023. – pp. 307–-318. https://doi.org/10.1007/978-981-19-3788-0_27.
  16. Kovalenko G., Mikhal’chevskiy Y., Muravyev I., Turintsev S. Integrated Piloting Skills Training // In: Gorbachev O. A., Gao X., Li B. (eds) Proceedings of 10th International Conference on Recent Advances in Civil Aviation. Lecture Notes in Mechanical Engineering. Singapore; Springer, 2023. – pp. 319–329. https://doi.org/10.1007/978-981-19-3788-0_28.

Yadrov Ilya Aleksandrovich

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E–mail: yadrov.ilya@gmail.com

Place of study: Saint Petersburg State University of Civil Aviation named after Air Chief Marshal A.A. Novikov, Saint Petersburg, Russia

Status: graduate student

Research interests: flight operations, civil aviation flight safety, flight crew members’ professional training

Important publications:

  1. Kovalenko G. V., Yadrov I. A., Kuts K. A. Intelligent Adaptive Flight Crew Decision Support System for Thunderstorm Avoidance. Russian Aeronautics. 2023. Vol. 66. №. 3. P. 552-559.
  2. Kovalenko G. V., Yadrov I. A., Kuts K. A. Intelligent Adaptive Flight Crew Decision Support System for Thunderstorm Avoidance. Izvestia of higher educational institutions. Aviation engineering. 2023. № 3. P. 120-126.
  3. Kovalenko, G. V., Yadrov I. A. Comparative analysis of methods of aviation adaptive systems development and generalized method MFTA/GDTA/CTA/CWA. Crede Experto: Transport, Society, Education, Language. 2023. № 3. P. 45-67. – DOI 10.51955/2312-1327_2023_3_45.
  4. Kovalenko G. V., Yadrov I. A. Prospects for the application of intelligent adaptive decision support systems for civil aircraft crews. Scientific Bulletin of The State Scientific Research Institute of Civil Aviation. 2023. № 43. P. 28-38.

The content of language education: from the traditional to the humanistic paradigm

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DOI 10.51955/2312-1327_2023_3_182

Elena M. Kazantseva

Abstract. The article reveals the understanding of the concept of paradigm in the context of the consideration of language education, describes the main paradigms of modern education (including language education): knowledge, competence, humanistic. Within each paradigm, the main changes in the content of language education are presented, taking into account the essence of a particular paradigm. The process of paradigm shift and the reasons for such changes are described. The polyparadigmatism of modern pedagogical science is proved. The factors influencing the necessity of coexistence of different paradigms of modern language education are revealed.

Keywords: the content of education, the content of language education, the paradigm of education, the paradigm of language education, polyparadigmality.

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