The article describes the automation of the audio recording recognition process in order to identify the ordered song on the radio station. The Golos Russian speech recognition model from the SberDevices was used. An algorithm for correcting the text obtained as a result of audio recording analysis using the Golos model based on the Levenshtein distance method has been developed. For recognized requests from radio listeners, interaction with the DIGISPOT II database is organized (formation and execution of queries to search for artists and their songs).

Keywords: speech recognition, Golos, Digispot II

The article describes the study of the behavior of the reaction vector in the contact spot of the wheel with the support base when the values of the angle of rotation of the driving wheels vary. To find the dependence of the values, a MATLAB Simulink model was created with software blocks that allow determining the behavior of the reaction vector in the contact spot of the wheel with the support base when the values of the angle of rotation of the driving wheels vary.

Keywords: controllability, mathematical model, wheeled vehicle simulation, wheel tire, wheel rotation angle, MATLAB Simulink

The article raises an urgent problem for large cities - the fight against the negative consequences of road transport. The importance of urban planning measures to reduce the accumulation of emissions, as well as green spaces to reduce the concentration of dust content of harmful substances in urban areas is considered. The data of CO concentration near the mainline territories in 95 studied points were analyzed.

Keywords: road transport, dust, gas-protected green areas, leaves, green spaces

The questions of mathematical interpretation of results of trajectory measurements are discussed in terms of increasing the accuracy of identification of bearings of unmanned aerial vehicles during their movement in a "swarm" - a group. Variants of identification of horizontal and spatial bearings are offered. For each of the variants, criteria are proposed for identifying the belonging of the measured values ​​to the same object in the group and the conditions for achieving them. The situation of false positives is shown. It is determined that additional identification measures are needed to eliminate false bearing triads and uncovered ambiguities, including the use of combinatorial exhaustive search algorithms. For their study, it is necessary to develop an experimental statistical model with an algorithmic description of cause-effect relationships, which is a further development of this work.

Keywords: " unmanned aerial vehicle, group of objects, bearing identification, horizontal bearing, spatial bearing, identification criteria, false notch"

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