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Your search keyword '"Zatonskiy, A. V."' showing total 11 results
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11 results on '"Zatonskiy, A. V."'

1. Development of Foreign Language Lexical Competence on the Basis of a Learner's Terminological Thesaurus and Dictionary

Author

Chainikova, Galina R., Zatonskiy, Andrey V., Mitiukov, Nicholas W., and Busygina, Helena L.

Abstract

The article suggests a method of foreign language lexical competence development on the basis of a Learner's terminological thesaurus and dictionary of software terms which includes four main components: classification part demonstrating the inner logic of the subject area, glossary with definitions of key terms, thesaurus demonstrating logical and associative relations of the key terms, and bilingual alphabetical dictionary. The thesaurus and dictionary has an extended context part supplemented with an encyclopedic part on the main topics of the thesaurus. The stages of the development and the structure of the Thesaurus and dictionary are described. Pedagogical experiment was conducted and proved high efficiency of the method proposed.

Published
2018

6. Solving the problem of odometric positioning of a mining machine underground using the Kalman filter.

Author

Zatonskiy, A. V. and Shevelev, I. M.

Subjects
*PROBLEM solving, *MINES & mineral resources, *ALGORITHMS, *INDUSTRIALIZATION, *MACHINERY, *MINING machinery
Abstract

A new approach to the problem of odometric positioning of a mining machine under the ground is proposed. As a technical solution to the task, the use of BLE (Bluetooth Low Energy) technology is proposed. Bluetooth beacons will be dropped as the combine moves. A sensor attached to the back of the transfer hopper will measure the distance to the nearest beacon. A model is created that simulates random speeds of the combine's movement on sections of random length. Random dispersion when dropping Bluetooth beacons is simulated. To generate sensor measurements, an algorithm is being developed that takes into account the increase in the error of readings when moving away from the nearest dropped beacon. To process the simulated measurements and correctly determine the distance, the Kalman filtering algorithm is used. The proposed approach and the created simulation model allow, with a given degree of accuracy, to determine and predict the distance to the mining machine during the development of industrial seams. [ABSTRACT FROM AUTHOR]

Published
2021
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