Introduction. In recent years, the structure and content of training of specialists of further education have significantly improved. The increased popularity of the secondary vocational education system is evidenced by the fact that more than half of the Russian teenagers after graduating from the main stage of secondary school become applicants of technical schools and colleges. In order to manage students’ education more effectively, among other measures, it is necessary to diagnose the motivation of enrolled students at the stage of admission to the educational institution and to identify the degree of awareness of their future career choice, as these factors directly depend on the success of educational programmes.The aim of the article was to reveal the trends of influence of students’ results at the Basic State Exam (OGE – the exam, which is taken when finishing education in the 9th (final) form of comprehensive school) on the level of knowledge of Computer Science in colleges and to find out the subjective reasons of students’ preferences for the secondary vocational education system to continue studies and to enter a profession.Methodology and research methods. In the course of the study, a review and generalisation of the content of scientific sources related to the problems of professional choice and training motivation were used. Diagnostics of motivation of college students in Moscow, Moscow region and the regions of Russia was conducted through the methods of testing, surveys and anonymous questioning. Processing of the obtained data was carried out by the methods of correlation, variance and regression analysis; the degree of statistical reliability of the results was evaluated by calculating the Student’s t-test and the Fisher’s F-test.Results and scientific novelty. The authors have calculated the numerical indicators of relationship between students’ academic performance in computer science and the Basic State Exam taking, the reasons for choosing the secondary vocational education and the specialty. Constructed graphs and approximating curves prove the fact that the success degree when learning the certain discipline in college results from the assessment within the discipline taken at the Basic State Exam in school. In the regions of Russia, this factor guarantees a higher level of knowledge on Computer Science – by about 20%, and in the Moscow region – by 10%. The statistics on respondents’ professional orientation were collected. A regression model, demonstrating the impact of students’ motivational attitudes on their training in the subject discipline, is presented. It was found out that the motives “subsequent admission to a specialised university”, “obtaining a profession”, “business attitude to a profession” and “prestige of a profession” have the most positive influence in this context. The variance analysis confirmed the determinism of the learning outcomes by the reasons for the choice of secondary vocational education and profession. It is concluded that the reasons for the low or medium students’ performance include not only their weak motivation for education, but also the state of the entire education system, including the institutions of the Basic State Exam (OGE) and the Unified State Exam (EGE – high school final and university entrance exam taken upon completion of the 11th form), as well as the lack of clear criteria for the admission of applicants to the institutions of secondary vocational education. To get a specific specialty, the desire to study, its informed choice and prestige of profession positively affect students’ learning outcomes in Computer Science education.Practical significance. The research materials can be useful for teachers of secondary vocational education and for specialists involved in career guidance.

In IIoT (Industrial Internet of Things) systems designed for enterprise management in real time, it is required to perform operational and intelligent processing of Big Data and issue a control signal to the actuators in a predictable time (on the order of several milliseconds). The high speeds of Big Data continuously generated by sensors of the industrial Internet of Things system make it difficult to obtain a control effect at a predictable time. The purpose of the study is to develop the architecture of a complex of IIoT systems to obtain a control effect at a predictable time in real time. The central issue of the task is the high-speed processing of structured data at the place of their occurrence to solve the contradiction between a large number of continuously generated necessary data and the need to process them at a predictable time. The decomposition of the IIoT system into separate IIoT systems according to the structures of the data used by them, followed by synthesis into a single complex of enterprise IIoT systems, is applied. The developed architecture of the IIoT system complex makes it possible to effectively implement distributed management of production processes in a predictable time, perform operational and intelligent processing of huge amounts of data of various formats continuously generated by industrial facilities. The complex of IIoT systems consists of separate systems of the industrial Internet of Things, each of which has its own structure of transmitted data and is implemented on the basis of a multi-level bus, which provides a high data transfer rate in a structured form, the ability to attach to the bus any IIoT device and any program used, including the Big Data system to identify hidden patterns in the work of the enterprise. The proposed solution of the architecture of the IIoT system complex based on intelligent sensors and touchsensors allows for effective management of enterprise equipment and technological process operations in real time with the immediate use of the new patterns found in the continuously incoming new data. The solution can be used by developers of industrial Internet of Things systems for the effective launch and implementation of projects, for the development and commissioning of IIoT systems.

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Oracles programs accept information from various sources, transform it, and transmit it to smart contracts. They can also accept data from a smart contract and transmit it to an external data source. Ensuring the security, validity and integrity of the supplied data determines the success of the blockchain system, therefore, the research topic is relevant. The purpose of this article is to identify practically important features of Oracle programs and develop a version of the information system architecture for Oracles programs that meets the necessary requirements. The authors were faced with the task of investigating all the vulnerabilities associated with the use of Oracle programs and developing an optimal architectural solution. In the course of research, methods of reviewing scientific literature on the subject of research, collecting, structuring and analyzing the information received, and methods of choosing solutions were used. As a result of the research, the concept of an intelligent system for transferring external data to a blockchain management system is proposed and the optimal architecture of this intelligent system is developed. This solution is aimed at improving the security of using Oracle programs for blockchain management systems, especially blockchain management systems for industrial Internet of things applications. The solution can be used by developers of distributed registry systems to effectively launch and implement projects.