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The article describes the functionality developed by the authors of an intelligent software system for optimizing adaptive control of business planning processes in the face of uncertainty. The results are based on a new method for optimizing adaptive project management using network economic and mathematical modeling. Based on this method, a methodology has been developed for solving the problem of optimizing adaptive control of business planning processes, which in the proposed intelligent software decision support system uses a block containing an adaptive control optimization model. As the objective function (evaluation functional) in the method used, the value of the length of the time period for the execution of the business plan, which needs to be minimized, is considered. The method used allows you to create a class of acceptable strategies for adaptive control of the implementation process for the business plan in question. Within the framework of this class of strategies, an optimal adaptive control strategy for the implementation of business planning processes is formed, the optimal time for its implementation and the optimal schedule for implementing the business plan as a whole, and the corresponding optimal adaptive control strategies are calculated. Application of the proposed new method in an intelligent software system allows for feedback and optimal time for the implementation of the business project as a whole. The developed intelligent system is designed to automate the modeling of business planning processes and optimize adaptive decision-making control during their implementation on the basis of network economic and mathematical modeling, as well as methods and tools for developing intelligent soft systems. The created system takes into account the existing specific technical and economic conditions and information support. The results obtained in this work can serve as the basis for creating intelligent instrumental systems for supporting managerial decision-making in the implementation of business planning processes in the face of information uncertainty and risks.

The practical implementation of the concept of electronic government is one of the priorities of Russian state policy. The organization of effective interaction between authorities and citizens is an important element of this concept. In addition to providing public services, it should include the processing of electronic appeals (applications, complaints, suggestions, etc.). Research has shown that the speed and efficiency of appeal processing largely depend on the quality of determining the thematic rubric, i.e. solving the rubrication task. The analysis of citizens' appeals received by the e-mail and official websites of public authorities has revealed several specific features (small size, errors in the text, free presentation style, description of several problems) that do not allow the successful application of traditional approaches to their rubrication. To solve this problem, it has been proposed to use various methods of intellectual analysis of unstructured text data (in particular, fuzzy logical algorithms, fuzzy decision trees, fuzzy pyramidal networks, neuro-fuzzy classifi convolutional and recurrent neural networks). The article describes the conditions of the applicability of six intellectual classifiers proposed for rubricating the electronic citizens’ appeals. They are based on such factors as the size of the document, the degree of intersection of thematic rubrics, the dynamics of their thesauruses, and the amount of accumulated statistical information. For a situation where a specific model cannot make an unambiguous choice of a thematic rubric, it is proposed to use the classifier voting method, which can significantly reduce the probability of rubrication errors based on the weighted aggregation of solutions obtained by several models selected using fuzzy inference.

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.

This work was carried out in accordance with the Digital Economy program of the Russian Federation and is therefore relevant. The program posed the following tasks for universities: the digital transformation of universities and the training of specialists of the digital economy. The Ministry of Education has articulated these issues as the creation of the Digital University. The paper proposes a model that can be laid the foundation of the Digital University. The model was developed on the basis of an analysis of the development of education in the fi of digitalization over the past 20 years, an assessment of the readiness of the leading universities of the Russian Federation to transform at present, and their own experience in using digital technologies. The proposed model satisfies the following requirements: openness of the system for students and teachers; the student’s participation in the formation of the trajectory of his own learning; the ability to access additional resources, courses and choose the places for practical training; formation and analysis of the digital trace; the use of intelligent methods for assessing acquired knowledge and competencies. The main blocks of the model are identified and the tasks for each block are formulated, which must be solved at the stage of creating the Digital University. The paper proposes approaches to their solution, technologies that the authors tested, evaluated and published the results in their previous works. In conclusion, we note that to create a Digital University, first of all, it is necessary: expand the base of control and training materials, modify, improve their forms; implement software smart systems for training and control; form a digital student trace, digital passports of information resources and, on their basis, form an individual learning path, an image of a specialist; develop learning scenarios for different images of students, goals, objectives; integrate intellectual resources of science and education; automate the management of the learning and control process as much as possible.

Research in the field of development and operation of the information system for accounting of criminal statistics in the divisions of the Ministry of Internal Affairs of the Russian Federation is presented in the paper. There is no standard soft for criminal statistics accounting in the system of the Ministry of Internal Affairs today. In view of this, the design and development of information systems in each subject of the Russian Federation is carried out independently. In the Komi Republic, the criminal statistics accounting system was developed and implemented in 2017 by the information center of the Ministry of Internal Affairs in the Komi Republic. It has proven to be a reliable, high-performance tool. The purpose of this work is to generalize the experience of developing and operating of the software and technical complex for criminal statistics accounting. The architecture of the software solution is made in the form of separate modules, which allow more flexible use of available computer resources (server equipment and personal computers). The most interesting modules of the soft and technical complex are shown and described: the logical control module, the levels of logical control, the features of designing directories and implementing the database structure. The experience of operating the software and hardware complex is described. Implementation of this solution led to a significant decrease in the number of violations in the field of criminal accounting, increase the speed of obtaining objective information about the crime situation in the region. It enabled real-time reconciliation with other accounting systems, for example, to produce a reconciliation between the criminal and administrative practices.

For computer programs need a formalized information. As is known, automated control systems work only with formal information. The basis for the formalization of a system of information classification and coding. The use of formalized data allows users to work with software from the automated control systems. By increasing the size of the control systems and the number of used software, there is a problem of organization of information exchange. Normative documents recommend organizing information interaction through communication protocols. However, with the growing size of the control systems there is the problem of maintaining these protocols to date. Within the framework of the currently used "hard" coding system to solve the problem of updating the information exchange is not possible. The aim of the study is to find ways to solve the problem of interoperability based on other principles other than organizational ones. To solve this problem, the article formulates the formulation of the problem of ensuring interoperability in distributed multi-agent environments based on the methods of "fuzzy" classification and coding. To solve this problem, it is proposed to use in the automated decision support systems fundamentally new information and linguistic support on the basis of the methodology of "fuzzy classification". Practice shows the possibility of using algorithmic formalization methods in a cluster of systems that are not too critical to the input information. In the future, with the development of technology, the scope of the proposed approach can be expanded. In the future, this will make it possible to move from the organization of a potentially effective, but difficult to implement in practice, “Single Information Space” to a “unified information field”.

The article is devoted to the study of the fluctuation properties of the interaction of halftone screens with different lineatures in the process of full-color printing and the development of a method for assessing the visual perception of these interactions. One of the main tasks solved in the process of printing reproduction of graphic information is to maintain uniformity of tone of large background areas in a print. Violation of the uniformity of the tone of these areas leads to fl - disturbances in the reproduction stability of halft screen structures used in the reproduction process, which become noticeable during the visual perception of the finished images. This issue is especially relevant in the manufacture of full-color images, where there is an interaction of several halftone screens produced for four copies of the image, corresponding to the colors of printing synthesis in the process of color separation. A significant influence on the level of fluctuations is exerted not only by the choice of angles of mutual arrangement of these halftone screens, which is regulated by technological standards, but also by the choice of halftone screening lineature. At the same time, compliance with technological standards does not always guarantee a high-quality result. The purpose of the study is to provide the opportuni-ty to choose the optimal lineature of regular halft screening, which, with a combination of these screens, will minimize the level of noticeability of fluctuations (noise) and, as a result, improve the quality of full-color printed materials. To achieve this goal, in the framework of this work, a method for evaluation of the fl properties of the interaction of raster structures based on the calculation of the standard deviation characterizing the histogram of a particular halftone field and, as a result, the level of fluctuations is developed. The developed method allows choosing the optimal halftone screening lineature, which can be used with a double or triple combination of halftone screens.

One of the factors influencing the relevance of search output is the multivalued search query, expressed by lexical means of a natural language. The multivalued lexical unit manifests itself at the stage of a search query. The method of removing the multivalence of lexical units in a search query based on ontologies is proposed. It is grounded that ontologies allow transferring semantic component of data related to a subject area accurately enough. The proposed method for lexical multivariance resolution can be described as follows. A user search query is received at the search engine input. The search engine contacts the ontology library to find the query. If the lexical unit from the search query is multivalued, the search engine will offer the user a list of subject areas in which the lexical unit from the search query was found. Oft the user searches in advance for the result from a particular subject area. When the subject area is defined, the search engine determines the nearest elements in the structure of ontology, and when ranking the search output will be guided by their presence or absence. The use of ontologies also allows adding synonyms and acronyms meaning the same to the search query. The proposed approach will allow solving lexical multiplicity and significantly relieving the search output, leaving only the subject area of interest to the user.

Web resources are an integral part of the life of a modern person, who are now more and more often subjected to hacker attacks. The most popular types of attacks are the SQL-injections and cross-site scripting, but DDoS attacks continue to be in the top 10 of network attacks and lead to serious crashes and failures of web resources. The most common type of DDoS attack is UDP flood attack, based on the infinite sending of UDP packets to ports of various UDP services. The scientific novelty of the work lies in the fact that to increase the level of security of web resources a medium-term forecast of cyber attacks of the UDP-flood type, using the methods of correlation analysis, based on the additive time series model, is proposed taking into account seasonal factors and time duration, which will ensure the necessary level of web security -resources. The type of UDP-flood attacks was chosen as the object of study. Using the methods of correlation analysis and modeling, we calculated the seasonal index of UDP flood attacks, and the autocorrelation of the time series of this type of attack. Using the method of simple exponential smoothing, a forecast of UDP-flood attacks is constructed. The paper proposes a classification of DDoS attacks, describes protection methods. Based on the correlation analysis, the predicted values of the impact of UDP flood attacks on web resources are calculated, and the seasonal factor is revealed. The largest number of attacks is expected in the IV quarter of 2020. For DDoS attacks lasting up to 20 minutes, seasonality was also revealed in the 1st quarter of the calendar year, which means that in the 1st quarter of 2020 the largest number of attacks of this duration should be expected. Prospects for further research into the problem of protection against DDoS attacks are presented in the further development of the methodology for countering UDP flood attacks and information security algorithms for web resources, which will reduce the number of UDP flood attacks and increase the level of web resource security.

This paper presents a new approach to solving the problem of personalization of learning in a dynamic electronic environment. To make recommendations to students on choosing the most suitable online course, a semantically approach is used, based on the representation and use of knowledge about the subject area of e-learning and the characteristics of the student. Within the framework of this approach, a method of using OWL-ontology for integrating resources into an individual learning trajectory is proposed. Ontologies provide a more adequate representation of online resources and compatibility of the user request format with descriptions of education resources from different developers. The architecture of the e-learning support system for the selection of online resources for their further inclusion in the individual trajectory of student learning is defined. The recommendation system analyzes the context of the user profile to generate recommendations for the content of the training course. The system uses information from user profiles and queries to find a semantic match between the course information and the user profi of the student. The developed system is implemented as a set of personal agents and services that interact based on a knowledgebase represented as a set of interconnected ontological models. The system recommends a resource based on current requests and user characteristics regarding their profile. In the process, the system dynamically updates the knowledge base about the current user characteristics, thereby increasing the effectiveness of generated recommendations. Based on the recommendations received, the user can choose the most appropriate version of the composition of educational materials, taking into account their level of knowledge and their preferences.