bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analysis of information security issues in corporate computer networks
Authors: Lavrov E A , Zolkin A L , Aygumov T G , Chistyakov M S , Akhmetov I V 
Published: February 2021

Abstract
This article discusses the main problems associated with information security in corporate networks and ensuring the reliable operation of information systems and the services they provide. Information security is understood as the security of information resources and information systems, as well as the supporting infrastructure from accidental or deliberate influences of a natural or artificial nature, fraught with harm to the owners or users of information resources. Currently, there are major changes in information security issues. They relate to the methods of work of attackers, the conditions of crimes commited in the computer sphere, as well as the consequences of illegal activities.
Cognitive radar control system using machine learning
Authors: Nepryaev A A 
Published: February 2021

Abstract
Cognitive radars are systems based on the percept-action cycle of cognition that sense the environment, extract relevant target and background information from it, and then adapt the radar sensor to optimally meet the needs of its mission according to the desired target. The aim of the study is to determine the options for using the cognitive approach to improve the performance of the radar system. The study results show the criteria by which a radar should be defined as cognitive. In addition, our task was to propose machine learning methods based on artificial neural networks for the problem of radar resource allocation.
Cyber-physical object tracking system
Authors: Shukalov A V , Zharinov I O , Zharinov O O 
Published: February 2021

Abstract
There is a task being studied how to control a separate technological aggregate as a regulation object. Information connections between the technological aggregates functions and regulation algorithms are being studied, which are used in the cyber-physical object surveillance systems. There is a two closed loops scheme of electrical-mechanics of the following system given functioning as a mono-aggregate. The stabilizing closed loop is to regulate variables being controlled given with shift and day tasks. The control closed loop is to regulate linear, axis and executive positions of aggregate organs in its coordinates system. The control object is controlled with different regulators influence. The scheme feature is its control object adaptation to the regulating influences with changing in time parameters, which are being translated from the virtual environment to the aggregate with an industrial net. The regulator interface and the aggregate reference model placed in a cloud is done by the Internet of Things. The aggregate regulation is done with settings related to the technological parameters being controlled.
Evolutionary algorithm for automated formation of decision-making models for predicting the safety of opioid therapy
Authors: Lipinskiy L V , Melnikova O D , Polyakova A S , Evseeva S A , Bobrova O P , Shnayder N A , Zyryanov S K , Petrova M M , Dychno Y A , Zobova S N , Bobrov A V 
Published: February 2021

Abstract
In this paper, an evolutionary algorithm for solving the problem of predicting the safety of opioid therapy for patients with pancreatic cancer is proposed. Opioid analgesics such as fentanyl and morphine are used as a therapy for pain syndromes. Using the patient database, based on the results of the therapy applied to them, it is determined whether there is a correlation between the outcome and the combination of input data taken into account. To find a set of informative features, it is proposed to use the genetic algorithm for multi-criterion optimization, in which two criteria are reduced to one generalized criterion using the method of “additive convolution”. The formed combination of the selected input features, which affects the outcome, is used to build a decision support model and to evaluate it afterwards.
Development of a module for broadband detection of digital transmissions for a radio broadcast monitoring system using parallel computing means
Authors: Sokolova A N , Soboleva E V , Nimatulaev M M , Petukhova M V 
Published: February 2021

Abstract
Short-wave communication is a means of trunk, zone, mobile and industrial communication for general and departmental use. Taking into account its technical potential, economic efficiency, strategic role as a necessary reserve, the task of monitoring the use of radio frequency resources in the short-wave range remains relevant. The main problem is the search for digital modes of transmission in the entire shortwave band. The purpose of the study is to develop a module for broadband signal detection operating in real time and integrate it into an operating radio monitoring system. The methodology of the work includes an analysis of the literature of foreign and domestic authors on solving monitoring problems, methods for detecting signals in the short-wave range; method of systematization and generalization of facts about the problems of choosing software and hardware for broadband signal detection. The features of short-wave communication have been studied, and the choice of comparison of signals has been made in this paper. The choice was made taking into account the computational complexity of the algorithms. Modules of broadband and narrowband signal detectors have been developed, the places of their integration into the existing radio monitoring system, as well as interfaces for their interaction, have been determined. During the pilot industrial operation the developed modules effectively coped with the solution of the problems of radio monitoring of the short-wave range in real time, so appropriate conclusions are formulated.
Remote control system for the unmanned floating platform
Authors: Dudnikov S Y , Vertegel V V , Golovin V V , Tyschuk Y N 
Published: February 2021

Abstract
The paper presents the results of modelling the coverage areas of a communication system in the Wi-Fi range for organizing a wireless data transmission channel between the coastal and onboard control subsystems of an unmanned floating platform, for which the main navigation zones near the coast are determined. It is shown that the use of a communication system based on the IEEE 802.11 standard makes it possible to ensure stable data exchange within the specified navigation zones of the unmanned platform. A generalized block diagram of a remote control system for an unmanned floating platform has been developed. It includes a video surveillance subsystem and a subsystem for engine control and collection of metrological data from various sensors. In this case, the floating platform is controlled both from a stationary post and using a mobile console. Functional diagrams of the onboard video surveillance and control system, as well as the coastal subsystem have been developed.
Specificity of information clustering in application to the problem of messages classification in social media
Authors: Moiseev D V , Lukina L I , Mikhailova O S 
Published: February 2021

Abstract
The paper presents research and development materials obtained by a team of authors that co-working at the Department of information technologies and computer systems of Sevastopol state University within the framework of an internal grant “Development of agent-based modeling and big data methods for social media analysis in post-conflict societies (grant №28/06-31)». To perform the task of clustering messages in social media, it is necessary to take into account that not only the power of the clusters themselves, but also the power of many clusters can be variable relative to time intervals ti
, t

i+1, …, tK
. Next, we will discuss the problem statement and some aspects of decision-making on classifying messages in social media in the framework of dynamic clustering.
Optimization of the automated technological complex mechanoprocessing using the modified genetic algorithm
Authors: Sekirin A I , Savkova E O , Shumaieva O O , Chengar O V , Shevchenko V I 
Published: February 2021

Abstract
The article discusses the issue optimization of the equipment loading schedules for automated technological complexes using genetic programming. Criteria for evaluating the effectiveness of the resulting schedule are determined. A two-level chromosome is proposed, containing information on the size the batch each type of detail and the sequence of their launch into production. A modification of the two-point crossing-over and the mutation operator has been developed, in which values are exchanged between two randomly selected chromosome elements. When a conflict occurs in the repeatability of string elements, a chain transformations is built based on the known chromosome regions, which give a one-to-one mapping. An object-oriented model of the work of automated technological complexes is used as a fitness function. The proposed modified genetic algorithm makes it possible to obtain suboptimal schedules of the complex operation within an acceptable time date.
Analysis of training of deep neural networks with heterogeneous architecture while detecting malicious network traffic
Authors: Chastikova V A , Zherlitsyn S A , Volya Y I , Sotnikov V V 
Published: February 2021

Abstract
The given article presents the study of the training process of a composite heterogeneous neural network with deep architecture. A brief description of the architecture of the analyzed neural network system has been given. The key nodes of computational load distribution on each of the layers of the neural network have been tracked. The monitoring results have been analyzed and the following conclusions have been made: the most resource-intensive part of the system during training is the LSTM network. The results of the study of structural features of the neural network hidden layers have been presented. Graphs have been constructed and there has been carried out the study of a statistical distribution of weights on each unique layer of the architecture: on a fully connected layer, on the first hidden layer of the subnet-encoder, on the second hidden layer of the subnet-encoder, on the first and second fully connected output layers of the neural network. Based on the research results, a qualitative assessment of the effectiveness and accuracy of the entire neural network system has been given.
Capsule neural nets for graph objects classification
Authors: Maikov K A , Smirnov B N , Pylkin A N , Bubnov A A 
Published: February 2021

Abstract
A new way to solve the graph classification problem is addressed. The main method utilized is the application of a capsule neural network on graphs. The results achieved include, firstly, the enhancement of the base algorithm for training a capsule network with the possibility of using graphs as an input (a stage of training for permutation invariants of graph vertices’ transformation matrices is included as well as a memory block for trained matrices), and secondly, a proposition of a training set of labeled graph objects, transformed from the MNIST dataset. This opens a perspective for a better classification of graph objects due to preserving of their structure and transformation invariance between layers.
Integrity of information data flow in meteor communication networks
Authors: Bozhuk N M , Skripnik I L , Ksenofontov Yu G , Malyshev V P , Avdeeva M O 
Published: February 2021

Abstract
The paper considers the issues of ensuring the integrity of the flow of information messages between remote objects and identification of the data transmission channel, interrupted randomly by fragmentation-defragmentation processes of this flow as a result of the stochastic appearance and disappearance of traces from meteors burning in the ionosphere, which are used as passive repeaters of VHF radio signals that carry out energy contact between correspondents of a computer network. The problem is posed to implement an algorithm for discontinuous transmission of a continuous data stream over a meteor communication network without distortion and loss of transmitted messages without the inclusion of redundant signs, which contributes to a more rational use of the limited telecommunication resource of the meteor communication network. It is shown that to ensure a reliable exchange of information data between remote infrastructure facilities of the Northern Sea Route, a meteor trail can be used, which will provide a statistically stable connection with the fulfilment of the requirements for the probability of receiving false signs while maintaining the integrity of messages, provided that this type of communication between correspondents is discontinuous.
Computer modelling of physical processes described by parabolic type equations
Authors: Trofimets E N , Trofimets V Ya 
Published: February 2021

Abstract
The article considers the application of modern methods of mathematical modelling in the process of solving problems of mathematical physics in the aerospace industry. To describe the temperature distribution in a given area of space and its change in time, the heat conduction equation is used. This equation is a special case of the diffusion equation and is a second order partial differential equation. The tools of the mathematical package MathCad are considered, which can be used to study physical processes described by the heat conduction equation under various initial and boundary conditions.
Application of convolutional neural networks to rotary machines state recognition
Authors: Kornaeva E P , Kornaev A V 
Published: February 2021

Abstract
The paper deals with the application of convolutional neural networks to state recognition of rotary machines with fluid-friction bearings. The training and testing were based on the data from the multisensory measurement system. The influence of minor defects such as tightening of the fastening bolts as well as various cases of lubricant supply to the state of the rotor system was investigated. At the same time, the changes introduced had an insignificant effect on the measurement results, which made nontrivial the identification of states. The pre-processing of the measurement data included normalization and equality of means hypothesis testing to identify abnormal data. The developed diagnostic system testing demonstrated high accuracy compared to the accuracy of experts.
Development of a model of an agent identifying the noise signal in a ball drum mill
Authors: Kirillov I E , Morozov I N , Bogatikov V N , Murashev P M 
Published: February 2021

Abstract
This work is devoted to the topical issue of identifying the noise signal arising during the operation of a ball drum mill. An approach to the development of a model of an agent identifying a given noise signal is presented. Having a sufficiently large number of measurements of the parameters of the technological process, the relationship between noise and all the quantities influencing it was derived in the form of a system of linear equations. For the analysis of expert data, a model in the MatLab environment, the Simulink simulation application was developed. This model is a model of the agent for estimating the noise of the mill, which can then be used to analyze the state of the lining, regulate the operation of the mill, or make predictions with predictive control.
Effect of pipe rotation velocity on the flow rate in the automated coating system
Authors: Zaretskaya M I , Zaretskii I S 
Published: February 2021

Abstract
The article is devoted to the study of the viscous fluid rotation in the confined space of an inclined rotating pipe in the automated system for applying a silicate coating to the inner surface of steel pipes. The authors proposed an automated coating method when the product is installed at the sloping position and rotates around its axis while processing. The thickness of the coating depends on the rotation velocity of the material. The dependence of the flow velocity of a viscous fluid on the angle of inclination of the pipe and the rotation velocity is obtained. It ensures the coating uniformity along the entire length of the product. The study of the rotation velocity dependence of the viscous fluid along the inner surface of the rotating pipe on the velocity of its rotation is carried out.
Targeted approach to assessing the organizational effectiveness of an intelligent process control system
Authors: Smirnov V A , Milova V M , Smirnova M S , Zhilnikova N A , Kurlov V V 
Published: February 2021

Abstract
The article considers a target approach to assessing the organizational effectiveness of the functioning of an intelligent decision support system for controlling complex instrumental equipment at the level of a technological control system. As an indicator of organizational efficiency, it is proposed to use the degree of achievement of an organizational goal based on a comparison of the result obtained (the organizational effect of the intellectual system) and the goal (improving the quality of management decisions). To determine the organizational effect, the indicator of the level of organization of activities is used, and for the quantitative presentation of the goal - the coefficient of the quality of managerial decisions, which characterizes their accuracy and timeliness. It is proposed to supplement the quantitative assessment of effectiveness with a qualitative assessment in the form of a verbal description of the degree of achievement of the organizational goal, which is more understandable and convenient for decision-makers. To obtain a qualitative assessment, a five-level fuzzy classifier of an indicator of the organizational effectiveness of an intelligent system is used. The obtained theoretical results can be applied in the development and implementation of intelligent systems to analyze their organizational effectiveness at all stages of the product life cycle.
System of models for assessment and forecast of heat- and mass-transfer in the system “catchment-watercourse-water body”
Authors: Kondratyev S A , Golosov S D , Shmakova M V , Ershova A A , Zverev I S , Ivanova E V , Korobchenkova K D 
Published: February 2021

Abstract
Development of a system of models describing the processes of heat and mass transfer in the system “catchment - watercourse – reservoir” enabling the assessment of impact of economic activity and climate change on the state of water bodies. The layout of a water system model using the developed and working models of processes is performed in accordance with the determining factors: the requirements of the task; structural features of the research object; the presence and location of points of the observation network as a source of initial information for modeling. The developed system of models includes six deterministic models and one stochastic one. The deterministic models include the model of water runoff from the catchment ILHM, model of chemicals removal from the catchment ILLM, model of water flow, sediment transport and dissolved impurities in an open channel (1D, 2D, 3D), 1D model of thermal regime and mixing of reservoir FLake, 1D model of dynamics of non-conservative impurity in reservoir FLakeEco, 2D model of currents and sediment transport in shallow reservoir, 3D model of heat and mass transfer in reservoir. The stochastic component of the system is the SWM weather model, which is a stochastic generator of meteorological elements.
Two-stage rotary crushing mixer
Authors: Laponov S V , Shulaev N S , Ivanov S P , Bondar K E , Shulaeva T V 
Published: February 2021

Abstract
This article provides an overview of the design of a two-stage rotary crushing mixer and describes the principle of operation. It has been experimentally proven that the use of a two-stage rotary crushing mixer, in comparison with a single-stage apparatus, leads to a significant increase in the quality of the mixture and productivity. It was found that to create an emulsion with a certain size of dispersed particles, a two-stage apparatus consumes less power, this is explained by the fact that in a single-stage apparatus, to achieve the specified size of dispersed particles, the processing time of the mixture increases, and therefore energy consumption increases. In addition, the specific power consumption of the two-stage apparatus is less than the sum of the capacities of the two single-stage apparatus, which indicates a higher energy efficiency of the proposed design of RCM. Expressions(formulas) are given for determining the dissipated energy and power required for carrying out the mixing process, taking into account the design parameters of the apparatus, the properties of the media. It is shown that the power consumption for mixing is determined by the energy required for crushing emulsion droplets in a turbulent flow and energy dissipation due to viscous friction processes.
Assessment of the prospects for energy construction under conditions of increasing share of electrified transport
Authors: Voronkov I E , Bykova Z S 
Published: February 2021

Abstract
The electrification of personal and public transport is a worldwide trend. The indicators of some countries demonstrate a rapid rejection of fossil fuel use and conversion to electric traction, which in turn exacerbates the problem of a shortage of energy capacities. The Russian Federation is no exception. The current lag of Russia behind the world leaders in matters of electrification of transport simultaneously determines the possible prospects for a rapid increase in the number of electric vehicles in our country, which inevitably should be accompanied by the process of updating old and commissioning new energy capacities. The study aims to assess, within the framework of the Krasnodar agglomeration, the size of the prospective demand for electric energy upon reaching 100% electrification of public transport and 15% electrification of personal vehicles. Simultaneously, the issue of choosing the most priority type of generation from nuclear power plants to alternative energy sources for a given region is considered. Based on the results of assessing the need and choosing the most promising type of generating center, a conclusion is made about the relevance of construction in the city of Krasnodar by 2035 of a thermal generation facility and facilities of alternative generation of low power outside the city.
Generator photoionization gas and vapor detector
Authors: Ivanova N I , Sidorov K V 
Published: February 2021

Abstract
The paper describes a new type of photoionization gas and vapor detectors – a generator photoionization detector and a differential generator photoionization detector. In these detectors, the ion collection occurs under the influence of a contact potential difference between two electrodes that are made of different metals. The detector schemes and application are considered in detail. There are also the experimental values of the metrological characteristics are demonstrated. The authors illustrate graphical dependences of detector signals on volumetric concentrations of ammonia and ethyl mercaptan.
Experimental studies of laser-induced fluorescence spectra of natural objects on the ground surface
Authors: Fedotov Yu V , Belov M L , Kravtsov D A , Gorodnichev V A 
Published: February 2021

Abstract
The paper depicts the experimental studies of laser-induced fluorescence spectra of natural objects on the ground surface using an eye-safe fluorescence-exciting wavelength of 355 nm. Shows that a value of the laser-induced fluorescence signal from natural objects can be comparable with the laser-induced fluorescence signal value from pollution on the ground surface. A development of laser-induced fluorescence methods to detect pollution at the eye-safe fluorescence-exciting wavelength of 355 nm holds promise. These methods rely on the analysis of the fluorescence spectra shape of pollution and natural objects on the ground surface.