The article presents a model of system processes in the formation of information support for a multilingual adaptive learning technology using the SILVERRUN CASE tool. It is shown that the software implementation of this model makes it possible to reduce the time for analysis and selection of lexically related information components, providing effective selection criteria. At the same time, the resulting lexical minima will be objective and scientifically substantiated.

The article discusses the hardware of the system for determining coordinates based on satellite navigation. The structural diagram of the device is given and a description of the main functional blocks is given. An experimental installation is presented, which provides communication through a satellite communication system Iridium. According to the results of the experiment, it was found that when flying at cruising speed, you can transfer the coordinates of the location of the aircraft to the control station through both GSM and Iridium. The tests of an experimental model on a aircraft with a larger cruising speed are planned.

The article presents an analysis of the impact of fuel combustion processes on the implementation of the concept of smart dust in the production and environmental monitoring of thermal power plants. Physical phenomena that affect the behavior of smart dust are considered, while ensuring the information reliability of production and environmental monitoring of thermal power plants. It is shown that a significant physical process implemented at thermal power plants and having the greatest impact on the environment and, therefore, requiring monitoring of production and environmental indicators using smart dust is the combustion of prepared fuel. A model of the physical process of fuel combustion of a thermal power plant is proposed, on the basis of which, following the concept of smart dust, a network of many miniature devices (motes) is able to evaluate the generalized quality criterion of this physical process for n-1 inputs and evaluate the allowable range of values of the n-th parameter.

. The effectiveness of the swarm application of spray drones in precision agriculture largely depends both on the drone models and their characteristics chosen for this purpose, and on the organization of their swarm management. The article substantiates the need to analyze the microprocessor performance of a swarm of atomizer drones in various modes of their use. It is possible to organize a general control of a swarm of drones, as well as individual control in offline mode. The article presents a methodology for analyzing the performance of the use of spray drones in precision agriculture. A model example of the analysis of the microprocessor performance of a swarm of drones based on the specified system parameters is given. It is shown that the use of models of microprocessor performance of a swarm of drones in precision farming makes it possible to obtain the information necessary to make a decision on the development or purchase of unmanned aerial vehicles of one type or another, the choice of fertilizer and pesticide spraying systems, the scaling and redundancy of unmanned vehicles and elements of the spraying system.