Review: This article provides a description of the developed models of the behavior of objects in the pursuit problem, as well as the pursuer and the pursued. The purpose of the conducted research is the development of algorithms for autonomous robotic complexes. In the proposed behavior models, local dynamic coordinate systems are introduced, which are formed by the direction of motion of the objects. During a certain period of time, the object must decide in which direction it should move depending on the result of the analysis of the coordinates of the second object. According to the proposed models of the behavior of objects in the pursuit problem, programs have been written in the computer math system “MathCAD”, which can be found on the author’s website. Due to the fact that the object, when moving in space, cannot instantly change the direction of motion, in our problems “inertness” is modeled using the angular velocity of rotation. The results of the programs obtained animated images of the movement of objects, references to which are given in the text of the article.

Keywords: coordinate analysis, dot basis, dynamic coordinate system, local coordinate system, object of prosecution, pursuing object, pursuit task, built-in solver, Fox, Rabbit

Review: The article presents an algorithm for modeling a composite curve of the first order smoothness. The necessary formulas for determining the bypass consisting of arcs of third degree polynomials are given. The first option describes the approximation of the entire array of points with the requirement of incidence of the first and last points of the contour. The second option considers the modeling of a curve, with the requirement of incidence of the first point and the free end at the last point, using the principle of drawing curves. In the third variant, the curve must pass through the last point of the array, and at the first point it must meet the requirement of the first order of smoothness tangentially obtained in the previous step. Special points are preliminarily defined on the object - the breakpoint of the contour and points with vertical and horizontal tangents that impose smoothness conditions on the modeled bypass. To model a curve, the least-squares approximation is performed by third-degree polynomials on the set of ordered points bounded by the break points that make up the edge. The advantage of the developed contour modeling method is, firstly, the possibility of processing a large array of points with the observance of a given accuracy. Secondly, it is much easier to ensure the smoothness of the first degree of bypass compared to other methods that use various functions of connecting arcs of the bypass, and it is also important to significantly reduce the amount of data being processed, while maintaining the required specified accuracy. Further works will present the remaining options and formulas for the calculation and their application in the field of reverse engineering, in solving problems of geometric modeling in image processing.

Keywords: reverse engineering, smoothness of the curve, least squares method, approximation, curve fitting, geometric modeling, point clouds, image processing, 3D scanning, data compression

Review: Detecting insider threats is a task that analysts and information security administrators address in the commercial sector and in government organizations. Up to 75% of incidents involving insider actions are still detected manually. Detection of insider threats in an organization can be carried out using a set of organizational and technical measures. To identify them, the authors propose the use of behavioral and technical indicators. The aim of the article is to increase the effectiveness of countering random and malicious insider information security threats by developing a method for detecting insider activity in an organization. To achieve this goal authors used set-theoretic modeling, a hierarchy analysis method, a fuzzy logic apparatus and a fuzzy inference system. As a result of the study authors developed a method that allows detecting insider activity in an organization based on evaluating an employee's predisposition to insider activity and identifying an insider as a result of recording an information security incident. The developed method can be used to create an automated system for identifying insiders in an organization.

Keywords: threats, counteraction, insider detection, insider, information security, internal threats, security, organization, automated systems, modeling

Review: The subject of the research is the substantiation of the technical and operational characteristics and development means of the Internet portal of the national Chuvash language corpus. The research methodology is based on a combination of theoretical and practical approaches using the methods of analysis, comparison, synthesis, synthesis, programming.The relevance of the study is due to the importance of studying and preserving the diversity of languages and cultures in the modern world and, accordingly, the need to develop tools for storing and processing texts in natural languages (including Chuvash), including those based on computer technologies.The novelty of the development of the Internet portal of the national corpus of the Chuvash language is determined by some features of the language. Scientific novelty associated with the development of the Chuvash language Internet portal, including a search engine, morphological analyzer, syntax analyzer, semantic analyzer, thesaurus. The structure of the portal - the main page, tabs "Search", "Morphological Analyzer", "Syntax Analyzer", "Semantic Analyzer", "Thesaurus". Development Tools: Microsoft .NET Framework; ASP.NET MVC technology; C# language; Visual Studio development environment; SQL database; ADO.NET; Entity framework; Java script; jQuery library and Angular JS framework; HTML/CSS.The Chuvash Internet portal provides researchers with a new toolkit that was not available to the Chuvash language before. The Internet portal allows you to test hypothetical theories using both feedback and modern formalized and quantitative methods. Due to this, a transition to a new qualitative level in lexicology and lexicography is possible: the work on compiling dictionaries and thesauruses of the Chuvash language, during which it is necessary to take into account both practical and theoretical components, will be greatly facilitated.

Keywords: semantic analyzer, syntax analyzer, morphological analyzer, search engine, development tools, Internet portal, Chuvash language, Russian language, national corpus, thesaurus

Review: The subject of the research is the development of a model and algorithm for cross-selling to bank borrowers.The object of the research is the information system for managing the lending process.The system developed by the authors implements an algorithm for selecting the next question to check from the existing set and introducing a stop parameter stopping the client's survey due to the achievement of a probability value indicating a high customer need to purchase a certain cross-product. By implementing this algorithm in the system, a bank employee can sell the cross-product that is most appropriate for a given client to the client by asking the client a limited number of questions in a short period of time.The algorithm proposed by the authors is universal. Each of the steps described is decomposed into several mechanisms that fulfill a specific goal. The previously selected mechanisms, based on statistical data, can be replaced in the course of work with the most relevant and effective ones. In the developed model of cross-product selection, an algorithm based on using the Bayes formula for competing hypotheses will be used. The article discusses the question “Is it possible to organize the implementation of cross-sales to bank customers online so that a potential customer can learn additional individual options?”. To solve this problem, it is proposed to develop a model and algorithm for cross-selling to bank borrowers. As part of the ongoing scientific research, an expert system is being developed that, when contacting a client at a commercial Bank, to determine a specific banking product or service, determine the client’s potential need for an additional product (cross product) and sell the product to the client.

Keywords: management in the system, individual characteristic, Bayes formula, model, algorithm, scoring, Information system, cross-sales, optimal solution, information processes

Review: The article is devoted to the problem of ensuring the quality of results in information processing systems, where part of operations are performed with the involvement of people who interact with them via the Internet. Such systems are widely used in solving various tasks, but attracting a person to the tasks of information processing is associated with a set of fundamental limitations inherent in man: low speed of information processing, the need for motivation, the possibility of errors or targeted distortion of information. Thus, the development of methods and means of managing the quality of the results obtained with the help of such systems is an urgent task. The paper proposes a model of data integration for improving the quality of results obtained using large-scale human-computer calculations. The application of the model is considered on the example of solving the problem of marking and searching for images obtained in the framework of mass athletics events (runs). Evaluation of the effect of integration is made on the basis of simulation. The results of the study of the proposed approach have shown that aggregation is particularly effective in conditions of poor-quality markup. However, even in conditions of high-quality markup, the use of aggregation allows you to increase the completeness of search results. In general, we can conclude that the use of integration of data in processing the results of human-computer calculations is a promising approach, and the use of probabilistic graphical models for integration allows you to smoothly increase the accuracy of the results of the system with increasing amount of available information.

Keywords: Probabilistic graphical models, Bayesian networks, Data fusion, Data processing, Image annotation, Image labeling, Crowdsourcing, Crowd computing, Collective intelligence, Information retrieval