Vol 19, No 1 (2021)

The paper considers ontological foundations of simulation of distributed random antenna (DRA) by triad-cluster method (TCM) using triadic elementary radiator (TER) as the basic element, as well as Laplace and Huygens-Kirchhoff principles. The features of internal and external electrodynamics problems solution, including the formulation of the initial conditions and the general principles for determining characteristics of DRA, are considered. TCM-models corresponding to partial and complete uncertainty of knowledge of decision-makers (DM) about configuration, excitation conditions and other properties of DRA are presented. These models allow the decision maker to understand and reproduce, in a first approximation, the physical processes occur during the formation confidential information leakage channels into the external environment through DRA.

The process of development of the program control unit of a content (engine) is reviewed in the article as an in-house system of its control; its vulnerabilities as well as set of necessary functions that are inherent to the specified engine are indicated in the article. Each new developed software engine can be subjected to unauthorized access and theft of content. Due to this fact, sometimes it is worth toconsider the percentage of uniqueness of the development methodology and code. The program control unit (engine) shall be written using its unique variables and file names. It will help to protect the site from third-party interference and will not require the purchase of the more expensive hosting for its placement. There are several stages in the process of application of the technology of development of the in-house engine. At the first stage, the HTML/CSS environment shall be assimilated. At the second stage, the PHP environment shall be assimilated as an environment for development of dynamic sites. At the third stage the issues of creating and managing a site through the admin panel shall be solved by studying the MSQL language. At the penultimate stage, it is advisable to replenish the knowledge by studying the language of interactive technologies JavaScript. It would be undoubtedly useful in the future. And at the final stage, it will be relatively easy to write your own CMS and create your own websites on its basis. Currently, the CMS is the most popular system or method of creation of the site, even despite the fact that there are some free-issued site engines with add-ons.

Electroencephalography is the simplest way to record the activity of the brain, however, artifacts arise that affect the operation of the brain-computer interface. The article proposes a median filtering method for cleaning EEG signals. A review of existing methods for removing artifacts from electroencephalogram signals is carried out. Comparison of methods for cleaning from oculomotor artifacts using median filtering and an adaptive algorithm based on Haar, Daubechies and Coyflet wavelets has been carried out. The proposed method of median filtering, applied to electroencephalogram signals, gave a good result in comparison with the adaptive method known earlier.

An increasing increase in the amount of transmitted information in wireless radio networks makes it necessary to search for and develop technologies that can improve spectral efficiency. One of these technologies is MIMO. MIMO technology is successfully used in cellular communication systems and Wi-Fi networks. An urgent task is also to increase the spectral efficiency in special-purpose networks. Based on the conducted research, the procedure for designing antenna complexes in MIMO systems was developed. An experimental study of the components of antenna complexes with polarizing diversity was performed. In particular, an antenna complex consisting of two orthogonal log-periodic antennas combined on one traverse was developed. It is shown that the measured characteristics are in good qualitative and quantitative agreement with the characteristics obtained using the developed electrodynamic model of the antenna complex with polarization diversity.

Currently, the number of attacks carried out every day around the world is constantly increasing. Moreover, cybercriminals use new, previously unknown methods along with old methods and tools. It’s getting harder and harder to spot them. This article discusses the problem of identifying an anomalous component in traffic caused by the activities of intruders or network failures. For this, a denial-of-service attack is simulated and the corresponding traffic is captured for further analysis. The statistical characteristics of traffic corresponding to the normal state of the system and the state of an active attack are compared. Based on the results of the analysis, it is concluded that there are statistical dependencies in certain parameters of network traffic, which make it possible to conclude that an anomalous component has been detected.

Human activity recognition is a fast growing research field with the goal to identify human behavior based on collected data. Human activity recognition systems have many applications in healthcare, sport, manufacturing and other spheres. Data for activity recognition may be collected from video-cameras or various sensors. Ambient sensors have a lot of advantages such as simplicity, inexpensiveness and wide application in smart-houses. Machine learning methods are often used for pattern activity recognition in sensor data. This work presents an application and comparison of some classical, ensemble and neural network machine learning methods for human activity recognition using smart-house ambient sensor data.

The paper presents the results of solving the problem of rationale an organizational and pedagogical conditions complex for the effective functioning of the cooperation program between universities and the domestic software producers to improve educational programs. The cooperation program provides for the inclusion disciplines that involve the active use of domestic software in the educational programs in the field of Computer Science and Engineering. In the logic of the ongoing research, it is necessary to assess the functioning of the cooperation program holistically, measuring in unity the compliance of its goals, content, conditions and implementation results with the established requirements. The integration of 1C certified training courses into the educational programs of the university is due to modern trends and is another step towards development of and enhancing interaction efficiency between employers and professional education.

The article highlights the problem of foreign language teaching in the process of distant learning in nonlinguistic universities. The article gives the details of different forms of distant learning with the use of innovative computer technologies in order to build communicative competence among students. The tutor’s part and objective in the process of distant learning are determined. Actual experience in using distant learning techniques on the base of Povolzhskiy State University of Telecommunications and Informatics is given. Using this educational platform, we consider it together with traditional ways of teaching, while during the pandemic it has been the only way of teaching. Distant learning is aimed to raise he effectiveness of students’ self-guided work and supposes searching and information analysis to be ready for the class. The most important advantage is that students being an active part of educational process can easily connect and communicate with the tutor via the Internet.