Infokommunikacionnye tehnologii
Founders
- Povolzhskiy State University of Telecommunications and Informatics (Samara)
- Academy of Telecommunications and Informatics (Samara)
Editor-in-Chief
- V.A. Andreev, Dr.Sci (technics), professor.
Publications
- Quarterly since 2003 in Open Access.
Research Area
The journal main thematic fields:
- Theoretical technological basis of information transmission and signals
- Telecommunication technologies
- Computer nets and systems technologies
- New information technologies
- Radio Telecommunication, Radiobroadcasting and Television technologies
- Electromagnetic compatibility and equipment security
- Engineers management and training for telecommunications.
Under the verdict of Russian Federation Ministry of Education Highest Attestation Committee “Infokommunikacionnye tehnologii” journal is listed in a Leading Scientific Edition enumeration where main results of Doctorate Thesises should be published.
Current Issue
Vol 22, No 1 (2024)
Theoretical technological basis of information transmission and signals
Suppression ofn the video stream frames processed by unmanned systems using FPV control
Abstract
Using packet networks for first-person control of unmanned systems arises a problem of large transmitted data volumes. The largest volume of traffic during first-person control is presented by video stream frames. So, to improve the efficiency of the communication network between unmanned systems and external pilot station, it is necessary to compress video stream frames. A high compression degree can be provided by using variational autoencoders. One of the problems of using variational autoencoders for frame compression is the occurrence of specific artifacts in frames. This article proposes methods for suppressing the occurrence of artifacts when restoring frames from the latent space by a neural network decoder, as well as an empirical scale for assessing autoencoder artifacts. The approach proposed encompasses preparing pixel data of a video stream frame for encoding and further reconstruction after decoding. It is experimentally shown that one of the proposed methods allows eliminating the absolute majority of artifacts without introducing significant distortions into the reconstructed frames.



Communication networks and multi-services
Tvirtual service router vesr in packet switching networks
Abstract
Modern networks and data transmission systems are based mainly on the use of Cisco hardware, as well as (to a lesser extent) Huawei equipment. The introduction of sanctions led to the expansion of by domestic enterprises, among which the most famous is the Eltex. A serious disadvantage of Eltex when creating and debugging data networks, as well as when training specialists in operating networks and systems, was the lack of software tools for modeling network devices, such as Packet Tracer for Cisco; eNSP for Huawei, GNS3. To resolve this problem, Eltex developers created «vESR» (Virtual Service Router). The vESR router was introduced on June 6, 2023 [1]. It is designed for configuring and debugging routing, as well as protecting corporate networks. vESR is installed via Oracle VirtualBox or VMware ESXi hypervisors on the Linux or Windows system.



Research of network traffic decorrelation algorithm based on wavelet transformation
Abstract
The article is devoted to the development of the network traffic decorrelation algorithm, allowing to significantly reduce the values of the autocorrelation coefficients of time intervals between packets. The proposed algorithm is based on finding the coefficients of the Haar wavelet transformation coefficient. An experimental analysis, presented demonstrates that an increase in the delay and the level of packet losses during video transmission over the network is closely related to an increase in the value of the autocorrelation coefficients of time intervals between packets at the traffic source output. The algorithm's performance is checked both on the resulting experimental trace and on the generated time intervals with the predetermined correlation coefficient, the value of which significantly exceeds the experimental value. The result of the proposed algorithm is new time intervals with a significantly reduced autocorrelation degree (almost equal zero).



Telecommunication Systems and Devices
Mathematical modeling of secure multipoint video conference sessions using multilayer graphs
Abstract
The article describes a multilayer graph model for multipoint videoconference sessions. The model presented in this study allows to specify requirements for quality of video capture quality when transferred between terminals and multipoint control unit at the service layer, as well as assessing bandwidth performance and delay of datalink channels at the secure and transport network layer. The given multilayer graph model for videoconference system is designed taking into account the features of secure network configuration, in which several overlay network layers are distinguished over transportation networks. This model specifies a structure of multipoint videoconference session at service layer, at which videoconferencing terminals interoperate through server. Traffic flows generated during session are distributed according to routing rules at the secure network layer. A purpose to select the most optimal route configuration for the entire session includes a number of alternative methods to distribute traffic for each pair of client-server communication seems to be rather complicated. The study proposes an algorithm for searching the shortest path in the graph of a secure overlay network with a step-by-step projection fer each individual route section onto the underlying level of the transport network to find the shortest path within its boundaries. An example for solving a problem on finding route in regard to the overlay network requirements and the actual traffic flow through the transportation network is given. Minimization of the capacity usage of leased channels was chosen as the optimality criterion. Experiments were conducted to evaluate the session quality based on the objective methods for various video-stream parameters, and corresponding quantitative estimates of the required bandwidth in order to organize a session.



Communication lines and fiber-optics telecommunications technologies
Field testing of the route tracing method for fully dielectric optical cable
Abstract
The article presents a method of underground dielectric optical cable route tracing using a distributed acoustic sensing based on recording and analyzing of the phase-sensitive optical reflectometer response to vibration-acoustic effects in the proposed tracing area. The peculiarity of the method is the use of pulsed impact for approximate determination of the cable laying area and the use of an acoustic source to determine the direction and clarify the location of the tracing route. The study outlines tracing algorithm and recommendations for choosing acoustic impact parameters. In accordance with the method elaborated, field tests were carried out on the section of a fiber-optic communication line made using a fully-dielectric optical cable. In result of the experimental testing, the possibility to determine a cable route tracing location under conditions of electromagnetic and acoustic interference with an error of not more ±0.2 m was demonstrated.



Results of experimental studies of electrical characteristics of signal-locking cables
Abstract
With the increase of transportation volumes on the country's railways, the requirements for ensuring their safety and reliability are also increasing. One of the technical components of ensuring the safety and reliability of railway transport is the cable infrastructure of railways, in which a special role is given to signaling and interlocking cables. High-quality signal-locking cables must have characteristics that strictly comply with GOST requirements. The article presents the results of experimental studies and analysis of the electrical characteristics of transmission and mutual influences of signal-locking cables with single-wire and multi-wire conductors. It was prooved that the production of insulated conductors of signal-locking cables, as well as of any other symmetrical communication cables, is realized on an extrusion line equipped with automatic control systems, which ensures high stability of their electrical characteristics. Practical recommendations for the use of signal-blocking cables not only in railway transport, but also in other departments that use symmetrical communication cables are also provided in this study.



Антенны, АФУ и устройства СВЧ
Pre-correction of phase-frequency characteristics of digital filters
Abstract
The article is devoted to the synthesis of a digital filter computer model with zero phase-frequency characteristic. A predetermined structural implementation of the digital filter with zero phase-frequency response is based on double filtering of the signal in the forward and reverse directions, as well as on filters with a finite impulse response. This article discusses the implementation of a filter with zero phase-frequency response based on filters with infinite impulse response. The implementation of pre-correction of the phase-frequency response of the filter is achieved due to the use of the two-channel structural diagram with the input signal spectrum transfer. The complexity of using filters with an infinite impulse response is associated with its nonlinearity, which requires pre-correction in order to linearize the phase-frequency response. The article discusses both a mathematical model of signal passage through a block diagram and a computer model in the Matlab-Simulink environment in static and dynamic modes.



Radio transmitting and receivering devices, television
Smethods for reducing the papr of fbmc signals based on a discretenonlinear sprott system implemented over a finite Galois field
Abstract
In this article, we provide a comparative analysis of various methods for reducing the peak factor of Filter bank Multicarrier signals in a multiplexing system with a filter bank using the discrete-nonlinear Sprott system implemented over a finite Galois field. The methods of partial transmission sequence, scrambling, and a combined method, which includes both methods, are considered. Each method is based on the use of a pseudorandom sequence, the formation of which is provided by generators based on a discrete nonlinear Sprott system. As a result of the work, the peak factor for each method is estimated and an additional cumulative distribution function is also presented. In addition, the influence of the number of iterations and windows used in the partial transmission sequence method on the peak factor was estimated. The results obtained in the course of the study can be applied in the design of information transmission systems.



Computer nets and systems technologies
Universal binary format for fast data transmission over the network
Abstract
In the context of modern approaches to application development, it is increasingly necessary to use distributed data processing systems, for example, in a microservice architecture. Here, the issue of fast data exchange between parts of the same application becomes relevant. The article discusses a new format for binary data encoding of the non-fixed, supported by the cross-platform approach and with the ability to implement serialization and deserialization operations in different languages using a universal data representation method. The efficiency degree of the new algorithms is deter-mined by comparing them with the results for another formats and frameworks that are widely used at the moment. The analysis shows that, taking into account the limitations imposed by the problem being solved, the new data presentation format provides a higher exchange rate due to optimization of serialization-deserialization algorithms.



New information technologies
mHealth-application for patient personalized approach
Abstract
The article is devoted to the mHealth mobile application description. It allows to analyze the complete blood count. From a statistical point of view this medicine test is one of the most full and frequent one, because it allows the doctor to make initial conclusions about the patient's health condition. The complete blood count is a complex of indicators, each of which can be associated with various diseases. The mobile health application is the modern solution which helps patients to get timely and complete treatment. There are a significant number of applications for health monitoring (including blood count) on the market. But all of them often have limited functionality or do not provide sufficiently detailed and accurate information about health condition. Ontology can be considered as an instrument for ensuring personalized approach to the user. In mobile application development ontology is used not only as database but as the database basis to simplify the process of filling and maintaining the ontology up to date. The application was developed for Android operation system, and the development instruments set includes Java programming language, Firebase platform and the FireBaseStore, DatabaseReference, FireBase libraries.



Poly-Gaussian description of probability distributions of processes generated by a nonlinear Lorenz system implemented in fixed-point numbers
Abstract
The article is aimed at analyzing the probability distributions of pseudorandom processes generated on the basis of the Lorentz system solution in fixed-point numbers. Numerical solution of the Lorenz system by the Euler method in single- and double-precision floating-point numbers with a limited number capacity can lead to a breakdown in signal generation. The use of fixed-point numbers contributes to the reduction of computational complexity in the digital implementation of such systems, which ultimately leads to the simplification of their practical implementation on modern chips of programmable logic. This allows to use resources in more efficient way, and increases productivity in the creation and maintenance of such digital systems. The study of approximation of Lorenz system signals using mixtures of Gaussian distributions is of great importance for predictive analytics and stability of the system. Elimination of signal generation failure also contributes to the formation of stable modes of generation of chaotic signals with required statistical characteristics.



Performance comparison of the Vaex and Dask libraries
Abstract
The purpose of the study was to compare the performance of the Vaex and Dask libraries, designed to enhance data processing efficiency. In thıs regard, experiments involving the assessment of time consumption for various classes of operations were conducted. The research included dataset preparation, data sampling, environment configuration execution, installation and setup of the aforementioned modules, Python script development, performance testing and subsequent analysis of the results obtained. It was observed that Vaex exhibits high performance when processing large datasets comprising of million objects on a single local machine; Dask's metrics performance is inferior to the former library. This fact indicates that Vaex is a more efficient tool for processing large datasets under conditions similar to those used in this study. The results and conclusions of the study emphasize the importance of choosing the optimal library when processing large volumes of data, and also confirm the advantages of the Vaex library in this context.



Development of a natural language processing tool for solving the application problem of extracting statistical data from text
Abstract
Text analytics is used to explore textual content and obtain new variables from raw text, which can be used as input data for forecasting models or other statistical methods, including for solving fundamental problems. The purpose of the research: to analyze machine learning algorithms, practical developments in this field and to develop an integrated software instrument for text processing, using the structure of the algorithm, based on the BasicStats, ReadabilityStats, SovChLit libraries, allowing to extract statistics from raw texts of large volumes in Russian. A method of extracting sta-tistical data from raw texts of large volumes based on machine learning and natural language processing in Python has been implemented, with the possibility of embedding it into other projects. A software instrument that use the functionality of textary library adapted for Russian language was developed, which allows to work with both texts and Doc-objects generated with spaCY library. The study was conducted using real text data collected from the information and news portal for the Samara region «63.ru» (in the context of the implementation of the conceptual project «Data Farm» by the artificial intelligence research laboratory). The developed software for extracting statistical data from text allows analyzing large volumes of text data and extracting useful information from them. It can be integrated into other software solutions as one of the linking modules in the of code optimization chain for text data processing programs.



Radio telecommunication, radiobroadcasting and television technologies
Ainvestigation of computer vision capabilities in autonomous unmanned aerial vehicles control systems
Abstract
The development of modern hardware and software has led to a rapid increase in the use of unmanned aerial vehicles, primarily aircraft. One of the promising areas for improving the efficiency of such platforms is the development of autonomous control systems, eliminating the need for human operators. The article presents the results of a study on the possibility of constructing elements of an automatic motion control system based on computer vision for unmanned aerial vehicles. The authors used comparative analysis to evaluate the advantages of two popular instruments: YOLO and SSD. They have also collected data for training the chosen model and tested it in various conditions, described the methodology for creating a training set and presented the model testing results on video images captured by a UAV's camera. The test results confirm that the YOLOv8n model is suitable for object detection on the UAV board using a Raspberry Pi 4 Model B as the single-board hardware platform. The object detection accuracy was from 80% to 90%, with the power consumption of 15-25 watts.



Engineers management and training for telecommunications
Issues of creating a student's digital profile in order to form his career environment
Abstract
The article considers issues of forming a student’s digital profile of in order to digitalize the organizational educational process. The features of creating a digital profile, as well as the data features that allow to create a student’s profile are provided. The problems that need to be solved to create a digital profile for taking informed decisions about the choice of the individual educational process and professional development are presented. A generalized description of digital competencies that allow to implement an individual approach to the educational program development and an individual studying algorithm are also provided. The features of the digital career environment formation as the virtual space for communication, exchange of experience and knowledge between students, teachers and employers, are considered. The advantages of a person-centric approach for creating a student’s digital career environment to deal with his further successful employment are described.


