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Modern trends in telecommunications are aimed at the applying of science-intensive technologies to the various classes of video information services. Such services gained high popularity during last decade in different spheres of human life, like entertainment segment, and using video-conferences for work or study. At the same time, due to the technical characteristics and limitations of modern communication channels, the requirements needed to ensure high quality of video services that use modern information and communication systems can not be fully provided. Reducing time delays in the delivery of digital video presentations by services that use infocommunication technologies to improve the video quality is an important scientific and applied problam. The method for solving this problem is presented in the article. It is shown and proven that an imbalance between the technical capabilities of modern information and communication systems (ICS) like the data transfer speed, and the rapidly growing requirements for high-quality real time video services is very large, especially for mobile segment and wireless connections. An information model to represent the set of influential elements of video coherence domains in the form of structural-positional numbers with the presence of properties of global and local inequality of adjacent elements is created. A model for evaluating of the informativeness of video areas based on the identification and formation of the set of influential coherence areas is built.

The purpose of this study is to solve the urgent problem of constructing infrastructure models of complex information systems and procedures for diagnosing them. Models, methods and information technology of diagnostics of information systems with multilevel structure that allow to identify combinations of hidden malfunctions that lead to their imposition at different levels are describes. The procedure for constructing a generalized intelligent diagnostic model and its individual forms, which reflect the cause and effect relationships between typical combinations of faults and corresponding changes in the values of the controlled parameters of information systems, is described. A method of constructing algebraic forms adequate to intelligent models of diagnostics is developed, which allows to use the algorithm of sequential analysis and screening of variants for the identification of combinations of faults.

The problem of analyzing and classification of digital images, that contain the documents, is very common for finance and economic spheres, for example, for bank and government agencies. Analyzing the documents differs from photos classification since the documents very often have low contrast and are similar to each other. For the personal documents classification, the structure of the convolutional neural network has been designed and developed. To achieve high accuracy of the recognition, that is very important, working with documents, the optimal parameters for the designed network were determined experimentally. The problems, that occur using such system, are mentioned. A method, used to avoid overfitting of the network, is described. The experimental network has been approved by practical experiments, their results are presented.

In this paper the technique of data synchronization between a smartphone and smart watch is presented. As the example the mobile applications for sports are shown. The development and research were made using the operating system macOS 10.11.6. The development of the program was carried out in an environment Xcode, using the programming language Swift.