Персона: Ктитров, Сергей Викторович
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Институт интеллектуальных кибернетических систем
Цель ИИКС и стратегия развития - это подготовка кадров, способных противостоять современным угрозам и вызовам, обладающих знаниями и компетенциями в области кибернетики, информационной и финансовой безопасности для решения задач разработки базового программного обеспечения, повышения защищенности критически важных информационных систем и противодействия отмыванию денег, полученных преступным путем, и финансированию терроризма.
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- ПубликацияТолько метаданныеAutomating Placement of Point Feature Labels on a Digital Map using Non-linear Mathematical Programming(2022) Pristupa, I. G.; Zarubin, M. Y.; Ktitrov, S. V.; Ктитров, Сергей Викторович© 2022 National Research Nuclear University. All rights reserved.A paper considers one of the approaches to solving the problem of automating placement of point feature labels on a digital map. The causes of label overlaps are analyzed, and requirements for label placement are formulated. Two different statements of optimization problems are proposed for finding the optimal locations of labels of point feature labels on a digital map. One of them is based on the idea that as the distance between labels increases, the chance of labels overlay decreases, and as a result, it becomes possible to identify each point feature on a digital map and read information about it presented on the label. In another statement, it is proposed to minimize the distances from objects to their labels in order to quickly and efficiently identify a particular object on the map. The article presents the results of solving optimization problems, which show the fundamental possibility of obtaining optimal label locations and demonstrates the quality of label placement using the considered approaches.
- ПубликацияТолько метаданныеComparative Graphical Analysis of Distortions of Some Cartographic Projections(2022) Ktitrov, S. V.; Ryslyaev, D. A.; Ктитров, Сергей Викторович© 2022 National Research Nuclear University. All rights reserved.The article is devoted to the problem of distortion of the size and shape of extended objects on maps when projecting the Earth's surface. Various types of projections are considered, their classification is briefly given. The Mercator, Albers, Kavraisky and azimuthal equidistant projections were selected for analysis. Distortions differ depending on the projection. It is pointed out that traditional graphical methods of distortion demonstration, such as distortion ellipses, cannot give a complete picture for extended objects without additional calculations. The authors propose an approach based on combining projected objects to solve the problem of rapid and visual detection of distortions. Scale coefficients of projection methods were been analyzed to identify areas with the minimal distortion. Both expressions for coefficients and graphical dependences on latitude and longitude are given. It is proposed to use the Mercator projection when the figure is shifted to the equator region as a way to obtain the minimal distorted figure. Thus, a figure on a plane can be obtained. It is closest in shape and size to an object on the earth's surface. Comparisons are carried out for various model objects (parallelogram, rectangle, circle, rhombus) located both near the equator and at the 60th parallel. The combination method demonstrates the distortion produced by various projection methods. Visualization is performed by means of the author's software including the SINUS-D program for system simulation, as well as specially developed programs in C++ where preliminary data preparation, projection, displacement of objects are carried out and a program in Python that uses third-party libraries to display objects against the background of the globe. The approach to the analysis of the representation of cartographic information proposed by the authors and implemented in the programs developed by the authors can be useful primarily in studying the features of cartographic projections, but it also has practical potential in everyday use to facilitate the planning of activities and more accurate accounting and allocation of resources.
- ПубликацияОткрытый доступПРИМЕНЕНИЕ ДИСКРЕТНОГО ВЕЙВЛЕТ-ПРЕОБРАЗОВАНИЯ ДЛЯ ПОВЫШЕНИЯ БЕЗОПАСНОСТИ ФИНАНСОВОГО ПРОГРАММНОГО ОБЕСПЕЧЕНИЯ(НИЯУ МИФИ, 2024) КТИТРОВ, С. В.; Ктитров, Сергей ВикторовичПредлагается применение дискретного вейвлет-преобразования для анализа аномалий в потоке данных, представимых вектором параметров. На примере выявления мошеннических транзакций, связанных с банковскими картами, показано, что методика позволяет получить сопоставимые по точности результаты по сравнению с рядом часто используемых подходов, таких как нейронные сети, робастные и регрессионные методы. Особенностью подхода является применение вейвлет-преобразования для формирования профиля отдельной транзакции.