2687-0517 Computing, Telecommunication and Control 11 4 2018 1-174
RAR RUS 7-20 Peter the Great St.Petersburg Polytechnic University Vladimir S. vlad@neva.ru
Polytechnicheskaya, 29, St.Petersburg, 195251, Russia
 East China Normal University Zhang Lei lzhang@ce.ecnu.edu.cn
Shanghai, China
 Skiba Vladimir bauman@bmstu.ru Bauman State Technical University Strekalov Sergey s_strekalov@mail.ru
Moscow, Russian Federation
 Digital information and logistic platform for operational management of foreign trade activities of high-tech product suppliers The article proposes a new architecture and functional model of the digital information and logistics operations within modern industrial ecosystem, which ensures the interaction of enterprises and custom control of foreign trade activities. Taking into account the priorities of the Russian economy digital transformation, the possibilities of using new business models, new information and logistics technologies that expand the prospects of public-private partnership as an effective tool to increase the share of high-tech products in the structure of Russian-Chinese foreign trade relations are considered. It is shown that the use of intelligent applications, security approaches and smart contracts on the basis of distributed registers allows to create a robust information space of trade transactions between manufacturing enterprises, exporting companies, customers, financial institutions and state control bodies, which provides automatic monitoring of all operations as individual enterprises and the national economy as a whole. 10.18721/JCSTCS.11401 65.428 information and logistics platform digital economy industrial ecosystem foreign trade relations information interaction public-private partnership https://infocom.spbstu.ru/article/2018.59.1/ 7-20.pdf
RAR RUS 21-35 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 Lisenkova Anna A. Anna nutochka97@gmail.com
Polytechnicheskaya, 29, St.Petersburg, 195251, Russian Federation
 Algorithms for MDX-query generation in multidimensional OLAP-cubes When working with multidimensional databases, there is a problem of long time access to data. Most servers that support OLAP-technology store data on disks, thus increasing the access time to the required data. An alternative method to store data is using RAM; this, however, imposes a limitation on the amount of memory. The Palo server is organized in accordance with MOLAP principles, and uses random access memory as data storage. Access to the data and metadata of the server is currently provided only through atomic Web requests. Use of MDX extends the functionality of access to the server, and also unifies the protocol of access to data. The result of the study is the subsystem generating MDX-queries for data retrieval from multidimensional cubes of OLAP-server Palo with interactive graphical interface. The project solved the tasks of analyzing software tools for working with MDX-queries, examining the syntax of an MDX-query for data retrieval, developing algorithms for extracting data and metadata from OLAP-cubes, and implementing the MDX-query generation sub-system for retrieving data from an OLAP-cube with interactive graphical interface. The results can be used to build remote access subsystems to the Palo OLAP-server. 10.18721/JCSTCS.11402 004.655:004.514;004.657 OLAP DBMS MOLAP PALO multidimensional cubes metadata MDX queries dynamic generation data storage https://infocom.spbstu.ru/article/2018.59.2/ 21-35.pdf
RAR RUS 36-48 Sorokin Alexandr Astrakhan State Technical University Tran Quoc Toan
Astrakhan, Russian Federation
 Adaptive fuzzy control for buffer loading regulation of network node The goal of this study is in developing a method for controlling the transmission of information packet traffic. The control is based on buffer loading regulation of network node. The fuzzy controller is used for regulation of buffer loading. The operating principles of the controller combine fuzzy logic theory methods and fuzzy neural networks theory. The controller relies on a system of fuzzy logic to calculate the probabilities of marking a packet with a buffer overload flag. After this the packet is sent to the destination node. After receiving a packet with a buffer overload flag, the destination node sends the command to reduce the traffic intensity to sending node. When the controller starts to work incorrectly, the adaptation algorithm is used. The adaptation algorithm is based on using the fuzzy neural network that processes information about the control result of information packet traffic transmission. After this the fuzzy neural network generates commands for adjusting the controller. We have verified the effectiveness of the study’s results, finding a reduced probability of loss of information packets and an increase in the level of using channels in the data network. 10.18721/JCSTCS.11403 004.7 data transmission network traffic management fuzzy controller adaptation system fuzzy neural network precedent training https://infocom.spbstu.ru/article/2018.59.3/ 36-48.pdf
RAR RUS 49-62 Peter the Great St.Petersburg Polytechnic University Vereshcagin Konstantin kostya.veresh@mail.ru
Polytechnicheskaya, 29, St.Petersburg, 195251, Russian Federation
 Peter the Great St.Petersburg Polytechnic University Belykh Igor ibelykh.spb@gmail.com
Polytechnicheskaya, 29, St.Petersburg, 195251, Russian Federation
 Ultrasound image reconstruction based on waveform inversion method using parallel calculation algortihms Ultrasound tomography is actively developing area that requires effective research and development efforts in forward and inverse problems solution for wave equation. In this work  different methods of image reconstruction from elastic wave field are investigated and original algorithm for two-dimensional ultrasound imaging is suggested. Full reflection wave field including absorption was modeled by means of forward problem for 2-D acoustic wave equation solution for inhomogeneous elastic media. Invers problem is solved by optimization algorithm  for two-dimentional full waveform inversion of reflection wave field. The main features of the software application design are described, using parallel calculation techniques for the modeling process efficiency improvement. The testing results are discussed and algorithm steps are validated for correctness. The advantages of the proposed approach are accuracy and stability of the solution with improved computational efficiency. 10.18721/JCSTCS.11404 519.63-688; 534-8, 534.222 wave equation reflection waves waveform inversion optimization parallel calculations ultrasound tomography https://infocom.spbstu.ru/article/2018.59.4/ 49-62.pdf
RAR RUS 63-70 Shevtsov Jury Dudnik Lydmila lududnik@mail.ru Krasnodar Higher Military School named after General of the Army S.M. Shtemenko Chernukha Yuri Chernukha@mail.ru
Krasnodar, Russian Federation
 Kuban State Technological University Fadeev Evgeniy fadeev_ed@mail.ru
Krasnodar, Russian Federation
 Kuban State Technological University Nikiforov Arseny nikiforovwork@mail.ru
Krasnodar, Russian Federation
 Algorithm for diagnosing engine health by parameters of frequency characteristics of oil filter We have obtained and discussed amplitude and phase frequency characteristics of a normally running engine and taking into account possible malfunctions in the engine based on a series of experiments using filter elements working in the lubrication system for different periods of time. Approximation of the initial schedules has been carried out by the sine sum method. We have offered an algorithm for performing diagnostics and assessment of the filter’s and the engine’s health. Including filter models in the form of transfer functions into the engine’s control system allows to change the lubrication system parameters, improving the engine’s efficiency. 10.18721/JCSTCS.11405 004.9: 621.4 system modeling technical status filter health oscillogram engine management approximation https://infocom.spbstu.ru/article/2018.59.5/ 63-70.pdf
RAR RUS 71-81 Peter the Great St.Petersburg Polytechnic University Timofeev Dmitry dtim@dcn.icc.spbstu.ru
Polytechnicheskaya, 29, St.Petersburg, 195251, Russia
 Maslov Maxim maslov@soft-consult.ru Architecture of data acquisition and processing system for improving productivity of software developers In order to enhance the workers productivity, it is necessary to identify and optimize the workflows with respect to main influencing factors. In software development industry, as well as in other areas with prevailing intellectual work, these workflows are often implicit and highly variable, and the product quality and worker performance to the large extent depend on the worker current psychophysical state. We propose to regain missing information by using a system to acquire and process the data about the developers’ states and activities. To generate the data, portable sensors and computer software plugins are used. Based on the data, the system generates a feedback allowing the users to better plan and complete tasks with respect to their state and personal work processes. In this paper we present the system architecture and describe main technical decisions. 10.18721/JCSTCS.11406 004.3 software system architecture data acquisition data processing feedback productivity https://infocom.spbstu.ru/article/2018.59.6/ 71-81.pdf
REV RUS 82-107 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 Fridman Viktor esselllesse@gmail
Polytechnicheskaya, 29, St.Petersburg, 195251, Russian Federation
 Review of methods for dynamic distribution of data in distributed database management systems The article provides an overview of the methods and associated data distribution algorithms between nodes of a distributed database management system. The article proposes a classification of data redistribution algorithms and provides algorithms for a database management system functioning in a stable state. The article discusses approaches based on self-configuring finite-state machines with memory, forecasting query flows using time series analysis methods, heuristic and genetic algorithms. Redistribution algorithms are described for each method. The optimality criteria for the functioning of the dynamic data redistribution subsystem of the distributed database are highlighted for the described algorithms. The given approaches can be used to design data redistribution subsystems in control systems of distributed databases in the course of their operation. 10.18721/JCSTCS.11407 004.75:004.658.3, 004.657, 004.023 data distributed databases database management system data distribution optimization algorithms https://infocom.spbstu.ru/article/2018.59.7/ 82-107.pdf
RAR RUS 108-118 Peter the Great St.Petersburg Polytechnic University Antonov Alexander antonov@eda-lab.ftk.spbstu.ru
Polytechnicheskaya, 29, St.Petersburg, 195251, Russian Federation
 Filippov Aleksey filippov@eda-server.ftk.spbstu.ru Peter the Great St.Petersburg Polytechnic University Kiselev Ivan kio.93@mail.ru
Polytechnicheskaya, 29, St.Petersburg, 195251, Russian Federation
 Design of reconfigurable computer supporting OpenCL standard The most significant parameters of modern supercomputing systems are performance to power consumption rate and effectiveness (real performance to peak performance rate). Hardware-reconfigurable computers can provide real-time hardware adaptation according to the specific task, improving the given parameters. Reconfigurable computing uses cutting-edge hardware and high level synthesis tools for parallel computations. For this reason, skilled engineers are required for managing such systems. The existing reconfigurable high-performance computing modules allow building heterogeneous supercomputer systems. However, they are too expensive and unsuitable for education purposes. In this paper, we have confirmed the need for cheap reconfigurable computers that could be used as educational facilities for students and described the significant features of the designed OpenCL-compatible reconfigurable platform. 10.18721/JCSTCS.11408 004 reconfigurable computers high-performance computing FPGA OpenCL high-level synthesis educational technologies https://infocom.spbstu.ru/article/2018.59.8/ 108-118.pdf
RAR RUS 119-129 Peter the Great St.Petersburg Polytechnic University Baydina Tatiana baydinatanya2401@gmail.com Peter the Great St.Petersburg Polytechnic University Burdakov Sergey control2@compmech.spbstu.ru Shagniev Oleg shagnoleg@yandex.ru Control of friction self-oscillations pulse smoothing in contact interaction of a robot with the working surface We have considered the problem of adaptive suppression of friction self-oscillations in a robot-tool-working surface system. These oscillations appear under contact interaction of the tool with the surface in case of nonlinear friction in the contact area and creeping speed of the tool motion along the surface. Frictional self-oscillation suppression is carried out using an external pulse load on the system. The friction model with Stribeck’s effect in the contact area, inertia and flexibility of the system elements are taken into account in modeling, making it possible to obtain processes close to those observed in practice. It is shown that friction self-oscillations with short-term tool stops arise under these conditions at slow speed of the tool motion along the surface. The pulse load on the system smoothes the processes but self-oscillations appear again after unloading of the pulses. In this paper, we propose an adaptive version of pulsed smoothing. Pulses are fed to the system when auto-oscillations occur. A small increase of the prescribed speed of the tool motion after pulse unloading eliminates the conditions in which self-oscillations occur. The proposed algorithm is implemented using the logical block whose efficiency is confirmed by modeling in Matlab. 10.18721/JCSTCS.11409 681.51 robot-tool-working surface system contact interaction nonlinear friction Stribeck’s effect creeping speed friction self-oscillations force sensing adaptive pulse smoothing https://infocom.spbstu.ru/article/2018.59.9/ 119-129.pdf
RAR RUS 130-150 Peter the Great St.Petersburg Polytechnic University Nikitin Kirill execiter@mail.ru Analysis of spiking recurrent neural networks dynamics in context of pattern recognition problem The article presents the analysis of current models and learning algorithms of recurrent neural networks (RNN). The model of spiking RNN is consideredwithin the new paradigm of reservoir computing (RC). This model was first introduced in 2006 by Maass and is called the liquid state machine (LSM). The main idea of RC is to construct a random recurrent topology and train only a single linear readout layer. A spiking neural network consists of biologically realistic models of spiking neurons and chemical synapses. Analysis of mathematical model of RNN continues with building a hierarchy of its main parameters and their classification by different groups. The main problem solved with the LSM is dynamic pattern recognition. Several measures of reservoir quality are introduced for solving this problem,. After that, an experimental study has been carried out to assess the influence of all parameters of model on the dynamics, behavior and properties of the RNN. Results of this study are used to build the procedure of synthesis of pulsed RNN for the problem of pattern recognition. The final part of the article demonstrates using the proposed procedure for solving a simple problem of dynamic pattern classification. It is shown that it can simplify synthesis and help to improve the quality of pattern recognition. 10.18721/JCSTCS.11410 004.8.032.26,681.513.8 iquid state machine reservoir computing dynamic pattern recognition spiking neural network integrate and fire neuron spike time dependent plasticity https://infocom.spbstu.ru/article/2018.59.10/ 130-150.pdf
RAR RUS 151-161 Stankevich Lev Peter the Great St.Petersburg Polytechnic University Amanbaeva Sabina Sabina2704@mail.ru
Polytechnicheskaya, 29, St.Petersburg, 195251, Russian Federation
 Peter the Great St.Petersburg Polytechnic University Samochadin Aleksandr Samochadin@soft-consult.ru
Polytechnicheskaya, 29, St.Petersburg, 195251, Russia
 Evaluation of students’ mental performance level based on EEG signal analysis The article presents the results of studies on using non-invasive brain-computer interfaces (BCI) for analyzing the degree of mental fatigue of students. It is proposed to use electroencephalographic (EEG) signals, allowing to determine the potentials caused by events. A set of algorithms for preprocessing EEG signals and recognizing the evoked potential of P300 arising 300 ms after a visual stimulus is described in detail. The main focus is on the P300 wave recognition experiment from information captured by a Muse headset. Preliminary results on the accuracy of P300 wave recognition in different people using various types of classifiers are given. A methodology has been developed for using P300 to assess the students’ mental fatigue. A number of experiments have been carried out confirming the possibility of such assessment using the developed methodology. 10.18721/JCSTCS.11411 004.93:591.18 mental fatigue brain-computer interface electroencephalographic signals P300 wave decoding Muse headset https://infocom.spbstu.ru/article/2018.59.11/ 151-161.pdf
RAR RUS 162-170 Peter the Great St.Petersburg Polytechnic University Timofeev Dmitry dtim@dcn.icc.spbstu.ru
Polytechnicheskaya, 29, St.Petersburg, 195251, Russia
 Peter the Great St.Petersburg Polytechnic University Samochadin Aleksandr Samochadin@soft-consult.ru
Polytechnicheskaya, 29, St.Petersburg, 195251, Russia
 Process extraction from educational texts Business process modeling plays an important role in analysis and optimization of organizational processes. Automation of process models is particularly crucial in domains where processes involve mostly intellectual activity that is not properly documented. Software development is an example of a domain with these properties. Educational materials like instructions and guides, blog posts, or conference talks are an important source of information about the processes in this case. Known algorithms of process extraction pose strict requirements to the input text. In this paper, we propose an approach to process extraction from complex sources containing descriptions of multiple processes and text blocks unrelated to the process model. In order to account for these aspects, the method considers not only standard lexical and syntactic properties of the text but also its structure and markup. 10.18721/JCSTCS.11412 004 business process process modeling process extraction natural language processing text analysis https://infocom.spbstu.ru/article/2018.59.12/ 162-170.pdf