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Alikaev Rashid Sultanovitch

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E–mail: ralikaev@mail.ru

Place of work: Kabardino-Balkarian State University, Nalchik, Russia

Academic degree: Doctor of Philology

Academic status: Professor

Post: Head of the Department of German and Romance Philology

Specialty from nomenclature of scientific specialties (Code of Higher Attestation Commission): 10.02.19 – General linguistics, sociolinguistics, psycholinguistics; 10.02.04 – Germanic languages

Scientific major: history and current state of the German language, philosophy of language, linguistic variantology, scientific discourse and terminology, monuments of the Karachay-Balkar language. 

Important publications:

  1. Alikaev R. S. On the question of the language situation and language construction in Switzerland / R. S. Alikaev, L. S. Alikaeva, F. A. Tugusheva, A. G. Khamurzova // Bulletin of PSU. – 2023. – № 1. – pp. 126-134.
  2. Alikaev R. S. Anton Marti and questions of the philosophy of language / R. S. Alikaev // Bulletin of PSU. – 2022. – № 3. – pp. 211-219.
  3. Gukosiants O. Yu. Mediation discourse and PR discourse in the Internet space: linguistic and pragmatic characteristics / O. Yu. Gukosiants, A. G. Monogarova, R. S. Alikaev, A. Yu. Bagiyan // New approaches to the analysis of the structure and semantics of discourse and terminological systems (collective monograph). – Pyatigorsk: PSU, 2023. – p. 7-55.
  4. Alikaev R. S. Selected works: Germanistics, philosophy of language, scientific discourse and terminology, monuments of the Karachay-Balkar language, personalities, and bibliographic index of works / R. S. Alikaev. – Moscow: ICTS «Expert», 2023. – 302 p. – ISBN 978-5-6049236-5-8.

Modus categorization of erroneous cognitions in the english worldview

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DOI 10.51955/2312-1327_2023_3_90

Tatiana I. Semenova

Abstract. The study discusses linguistic categorization of erroneous cognitions verbalized by linguistic units like mistake, make a mistake, error, blunder, make a blunder, gaffe, make a gaffe, wrong, get something wrong, make a wrongdoing, wrongness. Of central concern in the research is the issue of the modus (interpretative) character of the concept MISTAKE that serves as the conceptual basis of the modus category of erroneous cognitions. The paper highlights the issue that the concept MISTAKE as a conceptually complex knowledge structure activates two types of knowledge representation: the primary knowledge representation of the events in the physical world (Тelling him the truth)) and the secondary evaluative representation of the knowledge once verbalized (was a mistake).  The paper focuses on the interpretative function of negative evaluative interpretation that serves as the conceptual basis of the modus category of erroneous cognitions. The author comes to the conclusion that the modus category of erroneous cognitions serves to interpret the secondary representation of knowledge from the perspective of the negative evaluation conceptualized as ‘an action  that produces a result that is not intended.’ The modus function of the negative evaluative interpretation serves as the conceptual basis of the modus category of erroneous cognitions. The findings obtained may be helpful for further study of the processes of evaluative interpretation and evaluative categorization as an integral part of human cognition.  

Kew words: mistake, concept, interpretation, modus category, modus categorization, evaluative interpretation, categorical status

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Probabilistic description of wind gusts in the runway area affecting the safety of aircraft flights

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DOI 10.51955/2312-1327_2023_3_22

Elena I. Trusova

Vitalii D. Rubtsov

Alexandra L. Rybalkina

Abstract. The influence of wind gusts on the safety of aircraft flights is described. The impulse nature of wind gusts is substantiated. Experimental studies of wind gusts carried out with the help of a parametric recording device on an ultrasonic beam and an anemometer are analyzed, and it is shown that wind gusts have an impulsive nature, similar to atmospheric noise envelope emissions. The results of the analytical description of the probabilistic characteristics of atmospheric noise envelope emissions known from the literature are applied to wind gusts on the runway. Characteristics are given for the average duration of wind gusts, intervals between wind gusts and the average duration of intervals, the distribution of the duration of wind gusts, the average number and distribution of maxima of wind gusts.

Keywords: gusts of wind, probabilistic description, flight safety, aircraft, logarithmically normal model.

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Rubtsov Vitaly Dmitrievich

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E–mail: vostburtiv@gmail.com

Place of work: The State Scientific Research Institute of Civil Aviation, Moscow, Russia

Post: Chief Researcher

Academic degree: Doctor of Sciences in Technology

Academic status: Professor

Specialty from nomenclature of scientific specialties (Code of Higher Attestation Commission): 05.22.13 – Navigation and air traffic control; 2.2.16 – Radar and radio navigation

Scientific major: radio engineering, radio navigation, acoustics, navigation and air traffic control, air transport operation

Important publications:

  1. Rubtsov V. D. On the evelope and phase distribution of the mixture of signal and non-gaussian interference / V. D. Rubtsov, A. L. Senyavsky // Scientific Bulletin of the Moscow State Technical University of Civil Aviation. – 2015. – № 220(10). – pp. 119-124.
  2. Bolelov E. A. Simulation of wind disturbances at the aerodrome / E. A. Bolelov, V. D. Rubtsov // Scientific Bulletin of GOSNIIGA. – 2018. – № 21. – pp. 101-110.

Application of hierarchical cluster analysis in the training of aviation specialists

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DOI 10.51955/2312-1327_2023_3_158

Denis A. Evsevichev

Evgeniy A. Kostikov

Yury V. Shtyrlov

Ekaterina S. Alyakina

Abstract. The article discusses an approach to assessing the quality of the formation of competencies in the relevant disciplines mastered by a student or cadet of an educational institution of civil aviation. The assessment is formed by applying one of the unsupervised machine learning methods – hierarchical cluster analysis. Data collection to assess the cadets’ performance of a higher educational institution of civil aviation was carried out during the development of the discipline «Radio equipment of airfields». The experimental study took place during the semester. Tests for the discipline were formed in special Google forms, which made it possible to simplify the process of data collection and provide convenient control over the execution of tests. Data processing and further work with them was carried out in the Jupyter Notebook development environment using the high-level object-oriented programming language Python. In the program for the implementation of clustering, the cluster.hierarchy.linkage method from the SciPy library was used. For a graphical determination of the optimal number of clusters into which the sample should be divided, the Cattell’s scree criterion was used. The described approach makes it possible to single out students into separate groups (clusters) in order to automate the verification of the development of competencies.

Keywords: education, competencies, grade, statistics, machine learning, clustering, cluster analysis, dendrogram, automation, program.

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Kostikov Evgeniy Aleksandrovich

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E–mail: kostikov_128@mail.ru

Place of study: Ulyanovsk Civil Aviation Institute, Ulyanovsk, Russia

Status: graduate student

Specialty in accordance with the nomenclature of academic fields (Code of the Higher Attestation Commission): 2.9.6 – Air navigation and operation of aviation equipment

Scientific major: air navigation, aircraft operation, machine learning. 

Important publications:

  1. Kostikov E. A. System for studying meteorological navigation radar station / E. A. Kostikov, D. A. Evsevichev, V. E. Borisov // Automation of control processes: collection of scientific papers of the Youth Scientific and Technical Conference, Ulyanovsk, 15–16, May 2018 : At 2 pm / resp. for issue A.L. Savkin. – Ulyanovsk: FSPC JSC “NPO “Mars”, 2018. – Part 1. – P. 21-27.

Shtyrlov Yuri Vladimirovich

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E–mail: yura.shtyrlov@mail.ru

Place of study: Ulyanovsk Civil Aviation Institute, Ulyanovsk, Russia

Status: graduate student

Specialty in accordance with the nomenclature of academic fields (Code of the Higher Attestation Commission): 2.9.6 – Air navigation and operation of aviation equipment

Scientific major: air navigation, aircraft operation, design automation. 

Important publications:

  1. Simulation program for the operation of on-board equipment for short-range navigation RSBN-85 / I. I. Gareev, M. T. Smulko, Yu. V. Shtyrlov [et al.] // Informatics, modeling, design automation (IMAP-2021): XIII International scientific and practical conference of students, graduate students and young scientists, dedicated to the memory of the head of the department “Computer Engineering” Petr Ivanovich Sosnin: collection of scientific papers, Ulyanovsk, November 22-23, 2021 / ed. N. Vojta. – Ulyanovsk: UlSTU, 2021. – P. 87-91.

Alyakina Ekaterina Sergeevna

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E–mail: ka1105@yandex.ru

Place of study: Ulyanovsk Civil Aviation Institute, Ulyanovsk, Russia

Status: graduate student

Specialty in accordance with the nomenclature of academic fields (Code of the Higher Attestation Commission): 2.9.6 – Air navigation and operation of aviation equipment

Scientific major: air navigation, aircraft operation, clustering. 

Important publications:

  1. Certificate of state registration of the computer program № 2023614982 Russian Federation. Cluster analysis program for testing: № 2023613962: statement

Evsevichev Denis Aleksandrovich

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E–mail: denistk_87@mail.ru

Place of work: Ulyanovsk Civil Aviation Institute, Ulyanovsk, Russia

Academic degree, academic title: candidate of technical sciences, associate professor

Specialty from nomenclature of scientific specialties (Code of Higher Attestation Commission):  05.13.12 – Design automation systems (by industry)

Scientific major: avionics, radio engineering, machine learning. 

Important publications:

  1. Evsevichev D. A. Development of computer tools for teaching the operation of radio-technical flight support systems / D. A. Evsevichev, M. K. Samokhvalov // Radiotekhnika. – 2019. – Vol. 83. – № 9(14). – P. 84–89. – DOI 10.18127/j00338486-201909(14)-12.
  2. Buzaeva E. A. Formulation of the modern indicator devices modelling problem / E. A. Buzaeva, D. A. Evsevichev, O. V. Maksimova // Journal of Physics: Conference Series, Moscow, 20–23 April 2021. – Moscow, 2021. – P. 012053. – DOI 10.1088/1742-6596/2056/1/012053.

Determination of the necessary quantity of spare parts to maintain the performance of devices

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DOI 10.51955/2312-1327_2023_3_6

Nikolai S. Khersonsky

Ludmila G. Bolshedvorskaya 

Abstract. The paper is a logical continuation of a series of publications devoted to solving problems aimed at managing the process of assessing the production of non-conforming products through the use of statistical methods. This paper presents mathematical models for determining the required quantity of spare parts for devices consisting of a large number of identical units and assessing the dependence of the quantity of spare units on the number of operating devices and repair teams servicing them. The developed mathematical models are universal and can be used for any industry: aviation, atomic, chemical industry, etc.

Key words: mathematical model, queuing systems, devices, failure rate, mean time to failure, spare parts, units, repair team.

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