The purpose of this study is to create a descriptive model of a social bot that takes into account its potential as a violator of information and psychological security. The study was made on the base of American political discourse. The model is based on the results of a comprehensive analysis of the unmarked text corpus of social bot posts on Twitter. The corpus of texts is a collection of texts of posts in English of social network accounts that were previously identified by researchers as social bot accounts involved in the president election campaign. The study is motivated by the lack of an exhaustive definition of the concept of "social bot". This bot model forms a new approach to the disclosure of the essence of this concept. In this article, a social bot is considered as a violator of the information and psychological security of the user of the Internet mass media. The article was funded by the Ministry of Digital Development of the Russian Federation according to the research project No. № 14/23-К.

This article presents a technique for building teams capable of successfully implementing project activities. Usually, when project teams are to be built, only the functional component is taken into account, i.e. team members must have the professional knowledge and skills necessary to create a specific product. Experience shows that this does not guarantee success. On the other hand, there are different techniques for determining the individual characteristics of people, but they are, as a rule, confined to the theory and practice of management, and are aimed at building teams of specialists with a certain profile without taking into account differences in professional competencies. A distinctive feature of the proposed methodology is the combination of considered professional competencies and skills defined as specializations and the individual psychological characteristics of potential team members. At the same time it is proposed to determine these individual characteristics on the basis of Belbin role model because this model is focused on the successful implementation of projects. The developed application using the data about candidates generates all possible teams. For each team a role diversity indicator is estimated in accordance with the Belbin model, this indicator is considered to be the assessment of the potential effectiveness of the team. As a result, the team for which this indicator has the maximum value is recommended to run the project. The presence of a participant with leadership qualities is also an important success factor, so the application checks and prints a diagnosis about whether there is a candidate with this role in the built team. An application that automates this technique provides an additional opportunity to view data about team members and delivers the ability to edit its composition. The technique can be applied both in companies where there is a possibility of choosing from several employees with similar specialization, and also in the educational process where project team work becomes one of the main forms of students educational activities, and where different team compositions are possible as well. It was successfully tested in one of the IT companies in the Ural region, and also proved its promise in the educational teams building in the Department of Information Technologies and Automation and at the Department of Radio Electronics and Telecommunications, Institute of radioelectronics and information technologies, Ural Federal University named after the first President of Russia B.N. Yeltsin.

The paper proposes a method of generation and conversion of optical ILCF signals on the basis of a classical RoF-segment based on the application of two lasers. The circuit parameters of the classical RoF-segment based on the application of two independent laser sources are estimated. An approach to modeling the parameters of propagating radiation is proposed. It is found that in case of absence of signals chirping this scheme can be applied to the problems of radio frequency reception within the range up to several GHz. As the optical frequency distance of these lasers increases, the level of instability grows significantly negating the advantages of optical radio frequency generation due to increasing phase noise. Nevertheless, the range of parameters is defined (in terms of the difference in laser frequencies and the largest permissible value of ILCF) when the considered scheme provides a more or less stabilized mode of operation, and therefore it can find application in the tasks of the industrial internet.

The article discusses issues of analysis and structural optimization of multi-level data transmission networks using the random hypernetwork model. It is argued that the main level subjected to destruction under the influence of the external environment and affecting the performance of the network as a whole is the physical level, but in structural terms physical destruction primarily affects the channel level. In turn, failures at the link level affect the organization of work of the network and higher levels; in particular, they require the redistribution of flows including the rebuilding of virtual channels.

A brief overview of multi-level network models used for the analysis and structural optimization of data transmission networks for various purposes (in particular sensor monitoring networks) is presented, a description of a random hypernetwork is given and some problems of increasing the reliability of the functioning of networks at the network level in the event of possible failures of channels and network nodes are discussed, that is, disruption of its operation at the link level. As indicators of the reliability of the network layer of the network, the possibility (probability) of data transmission between a pair of nodes in principle or via established virtual channels and the mathematical expectation of the number of nodes capable of transmitting data to the central node are considered.

The goals of structural optimization are the best placement of virtual channels in the known structure of the channel network and the placement of base stations in network nodes which connection with the central node is considered to be reliable.

The paper describes some problems of operation failures of integrated circuits (ICs) and corresponding preventative measures at the early stages of design process. The issues related to the problems of IC failures caused by electromigration and antenna effect are considered, generalized and systematized. Some examples that can be used in practice when developing ICs to improve their reliability taking into account current trends in the microelectronics fields are presented.

The development of information technologies, automation of production, technological, and management processes are becoming part of production enterprises. This increases not only the quality of replacement products, but also the ability to resolve problems promptly at the management level and «transparency» in the activities of the enterprise. One of the systems that defines the task of operational product quality management is traceability and identification systems. The article edits a modification of the original identification and traceability method using combinatorial generation algorithms based on AND/OR calculations. The method provides information about the type of product in the form of an and/or tree by subcharacteristics, followed by obtaining a definition of the product type number. A method obtained has scientific novelty consisting of a flexible system for identifying subtrees with information about components to be filled in by supplier enterprises.

The article presents a comparative analysis of the software implementation performance of numerical methods in solving the problem of finding the equilibrium composition of a complex multicomponent heterogeneous system. The task of finding the equilibrium composition of the system is divided into the following subtasks: 1) taking into account constraints (Lagrange method); 2) finding the maximum function of a nonlinear function: 2.1) converting a function into a system of linear equations (Newton Raphson method); 2.2) using numerical methods to solve a system of linear algebraic equations. An analytical review of the literature data has shown that gradient methods have better performance when solving systems of linear algebraic equations. Therefore, the article compared the performance of the software implementation of the entire algorithm using direct (Gauss, LUP decomposition) and iterative methods (conjugate gradient method, biconjugate gradient stabilized method) for solving a system of linear algebraic equations. The calculation speed of the developed program was also compared using dynamically connected libraries Alglib, ILNumerics, MathNet, Accord to solve the SLAE in the problem of finding the equilibrium composition of a thermodynamic system.

The article continues a series of papers describing the ATMO model (analysis of territorial multisectoral objects). It reflects the structure and functionality of the financial block of this model, which belongs to the Leontief input-output models. The block schematizes the mutual settlements of production and sales enterprises within the framework of mutual supplies of manufactured and imported products within the region. These monetary relations include accounting for the total cost of production and distribution, import and sale of products. They correspond to the production and sales companies of the region for all its sectors, followed by correlation with the revenue received from production and sales activities. In addition to accounting for the marketing component of the resulting operating profit of the sector, the novelty of the model consists in accounting for subsidies and state financing, reflecting the costs of products produced outside the region. Additionally, mechanisms have been introduced to account for credit and tax payments on the overall financial outcome of the sectors. Formal mechanisms have been developed for the relationship between investments in logistics and the costs of importing and selling non-regional goods and equipment. The model includes ratios that set the movement towards optimal values of those of its indicators, which, based on the principles of industrial development, provide for the availability of funds for the purchase of additional machines and equipment, increasing the volume of production and sales operations. These funds are available to the sector if its operating profit is greater than zero, and they are not available otherwise.

Currently, unmanned aerial vehicles have found wide application in various spheres of the national economy. FPV control refers to a method of controlling unmanned aerial vehicles in which the video stream from the unmanned aircraft is transmitted to the remote pilot station in real time. Due to failures in the communication network, packets with video stream data may be lost or delayed and be delivered late. One of the ways to compensate for the drop in FPS in case of frame loss or delay at the remote pilot station is to predict intermediate frames of the video stream. This paper presents a scheme for predicting intermediate frames of a video stream and presents the results of experiments to establish a realistically possible increase in FPS in a neural network codec, in which various autoencoders such as VQ-f16 are used for video compression as well as the lossless latent feature space compression algorithm DEFLATE, while the dynamic multiscale voxel flow neural network DMVFN is used for prediction. A regression model was developed to predict the prediction time. The task of analyzing FPS for various configurations of the neural network decoder on the side of the external pilot is formalized.