2687-0517 Computing, Telecommunication and Control 12 2 2019 1-83
RAR RUS 7-15 St. Petersburg National Research University of Information Technologies, Mechanics and Optics Lazarev Victor holod25@yandex.ru
St. Petersburg, Russian Federation
 Informational scaling of variations in the distribution laws of parameters. Applications to the tasks of monitoring and management The paper studies the effect of changes in the distribution law on the parameter uncertainty state based on informational estimates. The proposed methodology for creating information scales for the rapid assessment of changes in these states. To illustrate the proposed approach, we consider an example of an information scale based on the basis of five model distribution laws that are widely used in various fields. As a result of using the proposed solutions, it is possible to obtain estimates of the transformation of the laws of distributions based on the amount of information generated in this case. The results obtained are illustrative, and the proposed methods and technologies are fairly «simple» and convenient for practical use. The implementation of the approach was carried out on the basis of the methods and developments of the theory of entropy potentials; it has prospects of application for the organization of monitoring and control. 10.18721/JCSTCS.12201 53.08 laws of distribution states of uncertainty entropy potentials information scaling monitoring https://infocom.spbstu.ru/article/2019.61.1/ 7-15.pdf
RAR RUS 16-27 Peter the Great St.Petersburg Polytechnic University Ermolova Tatiana togatsbp@gmail.com
Polytechnicheskaya, 29, St.Petersburg, 195251, Russian Federation
 Peter the Great St.Petersburg Polytechnic University Ivaschenko Polina deadpolonium@yandex.ru
Polytechnicheskaya, 29, St.Petersburg, 195251, Russian Federation
 Peter the Great St.Petersburg Polytechnic University Laptev Vladimir laptevsee@yandex.ru Studying the efficiency of visualization of static data structures by means of bar and pie charts by eye-tracking method The understanding of the mechanisms used for decoding information ensures efficient and correct interpretation of the information if it is taken into consideration during the design process. The article describes the most popular approaches to the visual presentation of static data structures with the help of graphic images (pie charts, donut charts, vertical and horizontal bar charts), an overview different eye-tracking studies of the effectiveness of visualization is given. Based on the statistical analysis, including cluster analysis of the coordinates of the fixation points of the subjects' eyes, a confirmation of the hypothesis of the existence of various patterns and approaches to the perception of diagrams was obtained. The drawbacks of visualization of information using pie charts were discovered. Certain recommendations for the visualization of static data structures were formulated. 10.18721/JCSTCS.12202 004.932.2:003.63 infographics data visualization pie charts donut charts bar charts eye-tracking https://infocom.spbstu.ru/article/2019.61.2/ 16-27.pdf
RAR RUS 28-38 Bauman Moscow State Technical University Yadgarova Yulia y.v.yadgarova@gmail.com
Moscow, Russian Federation
 National Research University Higher School of Economics Taratoukhine Viktor victor.taratoukhine@sap.com
Moscow, Russian Federation
 General approach for selection software architecture pattern based on system quality attributes The paper presents the approach of selection general architecture pattern and design tactics for the software project. Proposed method is based on the satisfying required software quality attributes. The domain ontology is defined along with the main concepts and structure. Base software architectural patterns and main design tactics were analyzed and as a result the problem of building software architecture with required quality attributes has stated. As a solution, analytical model of selecting necessary tactics has presented. The general approach to select the best software architecture pattern and tactics is defined and described with the example of preventive maintenance systems. 10.18721/JCSTCS.12203 004.05 software architecture software quality software architecture design software systems quality attributes design tactics software architectural patterns ontology of the software architecture design https://infocom.spbstu.ru/article/2019.61.3/ 28-38.pdf
RAR RUS 39-49 Peter the Great St.Petersburg Polytechnic University Kostenko zaba-1@bk.ru
Polytechnicheskaya, 29, St.Petersburg, 195251, Russian Federation
 Peter the Great St.Petersburg Polytechnic University Onufriev Vadim ovavadim@gmail.com
Polytechnicheskaya, 29, St.Petersburg, 195251, Russia
 AAH-8784-2019 35303230700 Peter the Great St.Petersburg Polytechnic University Vyacheslav P. shkodyrev@imop.spbstu.ru
Polytechnicheskaya, 29, St.Petersburg, 195251, Russia
 Multicriterial optimisation of rectificational process based on SPEA2 algorithm This article describes the process of multicriterial optimization using the Pareto efficiency method. A large-scale industrial plant was taken as a controllable object. The object was decomposed and represented as a hierarchy of embedded orgraphs. The orgraph’s vertices mark the current state of the product while the edges stand for technological operations. Based on the object’s technical documentation, a list of influencing factors is created. The list contains every technological parameter affecting the quality of the final product. A neural network trained on a set of statistical data is utilized to identify dependencies between discrete influencing factors and the product quality. These dependencies are then processed with the SPEA2 algorithm, outputting a set of combinations of optimized parameters values known as the Pareto front. 10.18721/JCSTCS.12204 004.942 Pareto efficiency multicriterial optimisation identification SPEA2 neural network https://infocom.spbstu.ru/article/2019.61.4/ 39-49.pdf
RAR RUS 50-67 Peter the Great St.Petersburg Polytechnic University Popov Sergey popovserge@gmail.com
Polytechnicheskaya, 29, St.Petersburg, 195251, Russia
 Peter the Great St.Petersburg Polytechnic University Purii Alexandr purii.alexander@gmail.com
Polytechnicheskaya, 29, St.Petersburg, 195251, Russian Federation
 Study decomposing and executing algorithms of data extraction queries in heterogeneous relationship database management systems When working with independent databases, the problem of partial automation arises, which consists in the impossibility of obtaining data from independent databases with a previously unknown scheme. The problem consists of two aspects: the lack of semantic connection between independent databases, and the dynamics of the semantics of schemes. The goal is the development and study of algorithms for constructing integrated queries for data sampling to heterogeneous distributed database management systems. To test the functionality of the algorithms, software and database of databases, which provides the ability to access independent databases, as if they were a single DBMS, but without full replication of the merging databases. 10.18721/JCSTCS.12205 004.652.42, 004.657, 004.655.3:004.652.4 heterogeneous DBMS metadata distributed queries queries decomposition distributed DBMS databases integration queries processing DBMS databases https://infocom.spbstu.ru/article/2019.61.5/ 50-67.pdf
RAR RUS 68-79 Botnev Victor 6603839750 Peter the Great St.Petersburg Polytechnic University Sergey M. Ustinov usm50@yandex.ru
Polytechnicheskaya, 29, St.Petersburg, 195251, Russia
 Distance finding method between a point and a segment in navigation The authors proposed an efficient method for determining the distance between an interval and a point on the surface of a spheroid to address some ensuing control problems. The authors described detection of multi extremal situations in the proposed problem and the causes of its occurrence. The authors suggested the algorithm of its solution under such conditions. In the case of multiextremality, the algorithm divides the interval into parts that are analyzed separately. In general case of unimodal intervals the algorithm uses special gnomonic projections with squared degree of convergence. The limits of applicability of the projection method are determined, and the optimal choice of the center of the gnomonic projection is justified. If the method is not applicable the universal minimization method provides the required solution. The method demonstrates high accuracy of the solution and the authors recommend it for use in commercial navigation and geodetic software products. The technique extends to control problems associated with different applications of navigation. 10.18721/JCSTCS.12206 519.6:527 modeling methods geodesic problems loxodrome orthodrome multi-extremal optimization problems https://infocom.spbstu.ru/article/2019.61.6/ 68-79.pdf