The article considers the issues of monitoring of the educational institutions official websites in the Republic of Belarus, beginning with the 2018 interms of its influence on the potential of services export in education. Special attention is paid to a state and development of information resources of higher education institutions. Regulatory legal acts and other documents forming a normative basis of monitoring are analyzed. The organization of monitoring processes of the education institutions websites is considered in the manual regime as well as using the  utomated information system for auditing education institutions information resources in the Republic of Belarus, assessment of their state and relevance is also considered (AIS Monitoring). The criteria for evaluation of the websites included in monitoring are presented and their comparison at the manual and automated way of realization is carried out. The analysis of monitoring results of the education institutions official websites in 2018 including that realized within trial operation of AIS Monitoring is produced. The correlation between the growth in the number of foreign students in higher education institutions and indicators for monitoring of information resources is assessed. The results of a quantitative assessment of the dependence of the growth rate of the number of foreign students at Belarusian universities on the level of compliance with the requirements for the informational content of official sites in terms of the list and cost of services provided in the form of a regression model are presented. Recommendations for further development and improvement of monitoring processes of information resources are formed.

The article describes the world experience of implementation technical and technological means of the fourth industrial revolution in industry. The main practical approaches to the digital transformation of industry are systematized, the key trends of the existing mechanisms digital transformation of industrial production are highlighted. Based on the results of the analysis, an institutional model of the organizational and economic mechanism digital transformation of the manufacturing industryRepublicof Belarusis proposed.

The article considers the practical experience of blended learning of students in the basics of digital electronics based on the use of the instrumental distance learning system DL.GSU.BY developed at the FranciskSkorinaGomelStateUniversity. There are described specialized tools for designing, modeling, debugging, and researching digital electronics devices developed specifically for learning the basics of digital electronics.

The work is devoted to the identification of images in pictures, which is performed as a result of the classification and localization procedures. Analysis of models, methods and algorithms has shown that for solving the set task it is preferable to use machine learning, an artificial neural network and a genetic algorithm. The architecture of a convolutional artificial neural network is proposed. It can solve both the problem of classification and the problem of localizing images. First the network is trained, then a class is determined for the image fed to its input. Objects are localized in the image at the final stage of operations of the convolutional neural network. For this, the output values of the penultimate layer of the model are analyzed, after which the layers are traversed in the reverse order. Its goal is to find the regions with the highest response on the source image. The combined model showed acceptable results both in classification and in localization of objects. All parameters for the network are determined automatically using a genetic algorithm. Further improvement of the proposed model results will be performed by implementing distributed computing on it.

Review article presents essential information on DNA databases, forensic genomics for human identification and suspect characteristics. Author reports the essential information on the topic of forensic DNA databases and data processing. DNA databases are important tools for the improvement of performance of the security organizations and services with a final goal of national security enhancement.

This article reviews and assesses the possibilities and features of the application of information modeling technology at such an important stage of work as the operation of a building. At present, it becomes more and more obvious that the most promising area of research in the field of managing socially significant processes, including the exploitation of buildings and structures, is undoubtedly the 3D modeling of objects, which provides truly unlimited possibilities in realistic representation of the surrounding world through 3D modeling. However, at the present stage this direction is still very rarely used in the CIS countries, and the possibilities of computer aided design systems are still underestimated, some of which are discussed in this article.

The article is devoted to the study of the problems of personal information security, taking into account the impact of Big data in the current crisis of information security. A person is rapidly immersed in cyberspace, conducts business in it, conducts financial operations, actively receives educational and other social services. These processes lead to the formation of a digital footprint. The article considers the phenomenon of the digital footprint appearance and the processes associated with it. In particular, considered the formation of a new symbolic environment. The cryptocontainer, complex information protection software, was designed and developed as a result of the actual personal information security problems analysis and as a part of the secure platform creation initiative. Its principles are discussed in this article. An alternative approach to providing information security was proposed, taking into account the personal information space.

The article deals with the problem of the efficiency of data compression algorithms. The analysis of the effectiveness of the speed characteristics of data compression of the Btrfs file system of the Linux kernel has been performed. An algorithm for optimizing the choice of data for real-time compression is proposed. The described algorithm gives the answer with an acceptable accuracy whether it is necessary to compress the data. This can significantly reduce the use of computing power. The main performance characteristics of the described algorithm are determined.

The article discusses issues of training specialists in the IT industry. The requirements for employees in the field of digital transformation are formulated and argued. A dynamic multi-level learning system is proposed, providing quality knowledge to students at each level of education.