bluuebunny/crossref_metadata_2025_split huggingface dataset:
A simple proportional fair scheduling for downlink power domain non-orthogonal multiple access systems
Authors: Kryukov Ya V , Brovkin A A , Pokamestov D A , Kvashnina A S 
Published: November 2020

Abstract
Currently, non-orthogonal multiple access technologies have gained high relevance in wireless multi-user broadband communications. Many papers have shown that non-orthogonal multiplexing can significantly increase the capacity of the system. Despite this, it technology is still far from practical implementation due to unresolved issues. One such issue is radio resource scheduling in communication systems using non-orthogonal multiple access which poses a high computational complexity and turns out to be a problem for a base station with a large number of users it serves. In our paper, we propose our own resource scheduling method for systems with non-orthogonal multiplexing using proportional fair strategy. This method allows for simultaneous resource scheduling in two segments – an orthogonal segment (time-frequency domain) and a non-orthogonal segment (power domain). To assess the effectiveness of the proposed method, we use the developed simulation model of resource scheduling for a communication system with a single cell. The effectiveness of the proposed scheduling method is confirmed by the simulation result, and its use allows achieving the proportional fair strategy implementation. In the final part, we use iterative simulation to compare the throughput of systems with orthogonal and non-orthogonal multiplexing using proposed proportional fair scheduler. The result of comparison showed that using the proposed proportional fair scheduling can increase the system capacity by an average of 28%. The results can be applied to create communication systems with different non-orthogonal multiple access implementations.
Modeling design information systems with multi-criteria
Authors: Zargaryan Yu A , Zargaryan E V , Dmitrieva I A , Sakharova O N , Pushnina I V 
Published: November 2020

Abstract
This work is devoted to the development of a new method for modeling information systems of multi-criteria design, based on expert ranking of criteria. The possibilities of the fuzzy-set theory and the possibility theory allow for a comprehensive analysis of criteria by reducing numerical indicators to a qualitative form, passing to the corresponding fuzzy relations of preference. Some of the information may be lost, therefore conclusions should be applied, both on the basis of “quantitative” processing of the results of measuring the criteria, and on the basis of “qualitative” processing. If these conclusions coincide, then their adequacy will be confirmed based on the initial data. Since the modeling of complex design systems is determined by several criteria defined on different base sets, and the problem of determining the multi-criteria efficiency in conditions of incompleteness of the initial data remains relevant, within the framework of this article, an optimization method is proposed simultaneously according to many criteria with incompleteness of the initial data. The difference between the described method lies in the fact that the expert ranking of criteria enables to formally set fuzzy preference graphs that make it possible to obtain comprehensive information about estimates in the rank scale during pairwise comparisons, with the aim of subsequent search for Pareto-optimal solutions in multi-criteria problems.
Application of Process Mining technology to analyze the correspondence of life cycles of information resources to a generalized model
Authors: Dorrer M G , Popov A A 
Published: November 2020

Abstract
The article solves the problem of assessing the applicability of the Process Mining methodology and ProM software to identify failures and deviations in the life cycle of information resources. The object of the research was the database of the Seattle Public Library, hosted on the website Kaggle.com, records were analyzed for the period from 2005 to 2017. In the course of the research, the information resource life cycle model was restored using the example of a library storage unit. Then, events atypical for the restored model were identified, that is, the system made it possible to identify deviations in the life cycle and statistically analyze the factors that caused them by means of a higher detailing of the process in the problem area. The obtained result confirms the possibility of detecting errors and inconsistencies in the processes of managing information resources and analyzing the root causes of errors based on the event log of working with an information resource.
Identification of cut-points in test parameters for classification of industrial products
Authors: Masich I S , Kraeva E M 
Published: November 2020

Abstract
The paper considers the problem of classification of industrial products with increased quality requirements by production batches. Identification of homogeneous batches of industrial products is one of the most important problems in the way of improving the reliability and extending the lifetime. Homogeneity of product batches ensures the reliability of destructive test results. A more consistent operation of elements with identical characteristics is also provided. We solve the problem of determining the cut-point values of test parameters for further construction of a rule-based classifier.
Evaluation of patent activity in the information field
Authors: Kushnir A M , Gibadullin A A , Osipova I V , Zlotnikova G K , Arkhangelskaya L Yu 
Published: November 2020

Abstract
The article is devoted to the analysis of patent activity in the field of information and communication technologies. The study revealed that about 2 000 patents in the field of information and communication technologies are registered in Russia annually, which is approximately 0.4% of the global patents in this area. The researchers concluded that the indicated volume of patents does not allow ensuring an effective transition of industries and spheres of activity to innovative technologies, software products, information platforms, etc., which indicates the backwardness of this sphere of activity in Russia from the global trend and requires the development of directions for intensification of patent activity in Russia. At the end of the study, measures were proposed that would make it possible to intensify patenting activities both at the federal level and at the regional and corporate levels.
Creation of a software complex for fire safety regulatory document use automation
Authors: Klochkov S V , Masaev S N , Minkin A N , Pozharkova I N 
Published: November 2020

Abstract
The article discusses some aspects of the analysis, systematization and structuring of regulatory documents on fire safety using the example of Codes 1-10 in order to create an interactive reference software complex. Its use as an auxiliary tool for training students and specialists (advanced training program) in the specialty “fire safety” should be considered as one of the applications of this program. The possibility of integrating the complex into the process of conducting an independent assessment of fire risk as an intelligent reference system also deserves attention. It is able to make a decision on a violation of one or another paragraph of the regulatory documentation, and to issue recommendations for eliminating these violations based on the user-defined structure of the analyzed object and its properties.
Methodology for determining a set of measures to ensure information security in the automated process control system
Authors: Borzenkova S , Sychugov A 
Published: November 2020

Abstract
The relevance is due to the task of ensuring information security of automated process control systems, since a violation of the information security of such systems can endanger the life and health of the population. In this regard, this article discusses various approaches to solving information security and information security management. The article offers a method for determining a set of measures (action scenarios) to ensure information security based on situational analysis and management. This approach to ensuring information security allows us to create a complete set of acceptable situations that assess the state of the security system. For each situation, identify possible actions that allow the transition to a more preferable situation in terms of information security, followed by an assessment of the established level of information security in the automated process control system.
The statement and solution of the problem of optimum separation of material resources for the consumed and accumulated parts in microeconomics
Authors: Chernyaev A P , Meerson A Yu , Masenko A , Kucherenko D 
Published: November 2020

Abstract
The microeconomic model of the economy of the household is considered as the most sustainable object in the context of crises. The distinctive features of the microeconomic formulation of the problem of finding the method of optimal separation of material into consumed and accumulated parts are studied. As in macroeconomics, consumption is optimized, but not in pure form. The integral discounted utility of consumption is maximized. The connection equation in the work in question differs from the similar macroeconomic equation, because the household exists and survives in crisis conditions not in the way social organisms and large enterprises do.
Algorithm for assortment planning based on the method of changing probabilities
Authors: Kazakovtsev L A , Rozhnov I P , Karaseva M V , Burmistrov E P , Kirikov I N 
Published: November 2020

Abstract
The paper considers the problem that manufacturing enterprises with complex diversified production are faced with a number of specific problems related to the formation of their range of products (goods). For these problems solving such organizations (sales department, marketing department, commercial service) create a certain service that deals with solving a set of tasks, such as studying demand, searching for goods from suppliers, managing selling prices, determining optimal volumes of production or purchasing goods, managing the assortment of an enterprise, coordinating the actions of other services related to the promotion of goods. The solution of local problems (tasks of operational management) at the level of a separate direction, project, contract, a separate batch of goods due to the extreme variety of products under consideration, puts forward some additional informal requirements and criteria for evaluating the effectiveness of solutions, which, due to their diversity and complexity of the strict mathematical description, remain beyond those areas of management theory that operate on formalized data and criteria. Nevertheless, the development of the competitive environment, the tightening requirements for the efficiency of the production use, financial, information assets leads to the impossibility to estimate all possible solutions qualitatively (adequately) and choose a really best alternative (or one of the best solutions). It helps to describe the behaviour of the sales market according to separate goods or product groups taking into account the peculiarities of the consumer’s attitude to a certain set of nomenclature based mainly on objective data reflected in operational records. The paper proposes an algorithm for automating business procedures for preparing draft of decisions on the purchase of batches of goods (пaртий тoвaрoв) in the form of a pseudo-Boolean optimization problem.
Integration principles of the electrical impedance tomography module with a lung ventilator
Authors: Gorbatenko N I , Katsupeev A A , Aleksanyan G K , Shcherbakov I D , Kucher A I 
Published: November 2020

Abstract
The article deals with the work organization of electrical impedance tomography module and lung ventilation module, interacting with each other as part of a single complex. The interaction consists in the transfer of data characterizing the function and condition of the lungs to the ventilator module. Two configurations of the complex for monitoring and lung ventilation based on electrical impedance tomography are considered: in the case of the integration of the electrical impedance tomography module and in the case of its use as an addon. The algorithm and principles of interaction of lung ventilation module and electrical impedance tomography module are presented.
Poisson bracket and integrals of motion in the problem of viscous fluid flow around an arbitrary flat contour
Authors: Bodunov N M , Khaliulin V I 
Published: November 2020

Abstract
The Poisson bracket is used to find the integrals of motion. A numerical and analytical method is suggested to solve Navier-Stokes equations in Helmholtz form. The approximation of the sought solution by a linear combination of basis functions lies in this method’s core. The main idea behind this method is to select basis functions and generalized independent variables. A functional series is taken as the required solution, found from the equation’s solution obtained by equating the Poisson bracket to zero. The substitution of the selected solution into the Helmholtz equation reduces it to a nonlinear algebraic system. This system is solved analytically for a range of cases due to its structure. The authors present an algorithm for solving the boundary problem of viscous incompressible fluid flow around an arbitrary flat contour. In laminar flow around the body, the geometric dimension decreases, and the boundary problem is reduced to a linear system of algebraic equations. The solutions were tested on solving viscous fluid flow around a wedge and a thin plate.
Application of the Canny’s operation and the template matching method to improve the training set in computer vision training’s issue system
Authors: Dorrer M G , Tolmacheva A E 
Published: November 2020

Abstract
This article focuses on solving the problem of increasing the efficiency of the process of forming a training set in computer vision training’s issue system based on an artificial neural network. The solution to this problem is implemented by developing software for searching for contours using the canny method in combination with the method of searching for identical samples and then deleting them by using the templatematching algorithm. The implementation of a software tool for expeditious preparation of a high-quality training sample for training a neural network based on the YOLOv3 architecture is described. As the initial data, we used a video stream received from cameras located in the working area of computer vision - on the shelf of a smart refrigerator of the Robimarket system.
Usage of collaborative filtering in sharing platforms
Authors: Voronkov I A , Saradgishvili S E 
Published: November 2020

Abstract
This article examines the possibility of extending the collaborative filtering method in shared information systems. The need to build recommendations dictates the volume and the intensity of the emergence of more and more new information. In the scientific world, the possibilities of building recommendations are widely explored, and this work presents the authors’ vision of a possible direction of development, which is based on a preliminary iteration with the highlighting of keywords.
Comparative analysis of neural network for human gait classification
Authors: Markov M E , Varlashin V V , Bakhshiev A V , Ulanov V N 
Published: November 2020

Abstract
The paper reviews different neural network architecture for human gait recognition as a part of the control loop of soft exoskeleton. 6-axis inertial measurement unit (IMU) used for experimental data collection and gait phase prediction. IMU sensors are attached to the hip, ankle and foot of each leg. Three different architecture were chosen for comparison: feed-forward neural network, cascade neural network and recurrent neural network. All neural networks trained on the group of dataset that consist of 100 steps and compared by precision. Dataset was collected during subject walking on a treadmill with a different speed. The experiments show that recurrent neural network more efficient than other one.
The digital twin of the business process model
Authors: Dorrer M G 
Published: November 2020

Abstract
In this paper, we propose a solution to the problem of organizational management based on high-precision simulation models designed for numerical forecasting of the parameters of business process models - duration, labor intensity and resource intensity, cost. The solution is implemented as a prototype twin of the business process system model. To solve the problem of predicting the numerical indicators of a business process model, the formula and algorithmic apparatus of stochastic GERT networks is used. BPMS ELMA was used as a technical platform for the implementation of a digital twin prototype. To solve this problem, the apparatus of stochastic GERT networks is used. An edge of the GERT network is associated with the operation of the business process, and the node of the GERT network with an event or gateway of the business process. An algorithm for translating a model of a business process into an equivalent GERT network, as well as calculating the parameters of the law of distribution of the cost of a business process based on the obtained GERT network, is given. The proposed tool, implemented in the digital twin modeling module, allows solving the problems of predicting the dynamics of discrete-event models described in BPMN notation without using statistical simulation models. Continuous updating of the structure of the GERT-model in accordance with the modification of the process in the ELMA system and clarification of the parameters of probabilities, the type of distribution laws and their parameters based on the accumulated data of the digital shadow of the business process allows us to talk about the implementation of a high-precision forecasting model of the business process in the proposed digital twin model.
Parameters evaluation of the developed combined authentication schemes with increasing level of resistance
Authors: Komarova A V , Menshchikov A A , Korobeynikov A G , Kalinkina M E , Tkalich V L , Pirozhnikova O I 
Published: November 2020

Abstract
Due to the increasing probability of a quantum computer appearance in the near future, there is a need to develop new tools for cryptographic information protection. Such tools are related to post-quantum cryptography. This article evaluates the performance characteristics, compactness, and computational complexity of previously developed combined electronic signature schemes. Such schemes consist of a combination of two independent electronic signature schemes, one of which is a post-quantum scheme, and the other is one of the well-known classical asymmetric electronic signature schemes. In all the schemes under consideration, the level of cryptographic security increases, and the probability of their hacking even with the help of a quantum computing device decreases. The results obtained in this paper may be useful to other researchers for further post-quantum cryptographic protection tools development.
Macro model of the injury of brain functional regions
Authors: Minejeva O , Markovics Z , Zdanovskis N 
Published: November 2020

Abstract
A lot of studies are related to brain activity. Researchers are trying to structure all available information with a purpose to analyse and predict different diseases, their mechanism. One of the methods that can be easily used in the medical sphere is topological modelling. It allows displaying any diagnosis or process in the form of a graph. This form is convenient and considered to analyse the causal-consequence links between graph nodes representing symptoms, different states of the body, etc. This article focusses at the process of building a stroke topological model that gathers knowledge of how stroke can hurt certain brain functional regions, and what consequences can cause the damage to these regions. The model is formed in 2 steps, increasing its level of detailing, i.e. by specifying brain regions.
Novel smart data analysis technologies to differentiate Parkinson’s disease from essential tremor
Authors: Horoshavina A A , Tutsenko K O , Abramov V A , Tunik M E , Pokhabov D V , Sadovsky M G 
Published: November 2020

Abstract
Smart approach to study the relation between tremor and olfactory malfunction is studied. It is shown that neither olfactory function measurement, nor tremor measurement solely are able to differentiate Parkinson’s disease from essential tremor. On the contrary, the combination of these two medical examination techniques yields reliable discrimination of these two pathologies. Also, the inverse relation pattern between olfactory and tremor is proven. These results are obtained through the implementation of novel smart technique of non-linear clustering based on elastic map method.
Using artificial intelligence to predict the human body’s response to cardiovascular disease
Authors: Dorrer M G , Golovenkin S E , Nikulina S Yu , Orlova Yu V , Pelipeckaya E Yu 
Published: November 2020

Abstract
The article is devoted to the use of intelligent systems in modeling and forecasting the dynamics of the human body. The selection and verification of a set of structural solutions, models and algorithms of the corresponding software solution by a computational experiment were performed. The proposed solution showed a high predictive ability when solving the problem of predicting complications of cardiovascular disease. The probability of error for most of the predicted parameters does not exceed 5%.
Main factors assessing R&D labor intensity in high-tech enterprises
Authors: Gosteva O V , Anikina Yu A , Malanina Yu N 
Published: November 2020

Abstract
The article deals with the development of methods and factors that determine the R&D labor intensity in high-tech enterprises. When assessing the labor intensity of R&D, a number of problems arise related to the distinctive characteristics of scientific work: originality, novelty and creative component. Such properties do not allow a comprehensive assessment of the complexity of research work without a detailed analysis of each stage of scientific work. The problem of rationing the costs of research labor at high-tech enterprises is expressed in the fact that labor includes both creative elements of activity and repetitive stages. However, the ratio between these components depends on the nature of research and development. The implementation of R&D is characterized by a high level of innovation, which makes it extremely difficult to identify the factors that are used to calculate data for building an optimization model.
Method for removing valuable components from technogenic solutions by the example of rare earth elements
Authors: Lobacheva O , Dzhevaga N 
Published: November 2020

Abstract
The improvement of the effectiveness of separation of similar rare earth elements in terms of properties, permitting cost reduction of individual REE and their oxides, and extending the possibility of their application, becomes a topical problem. The method for removing valuable components from technogenic solutions is going significance now days. The article examines the possibility of rare earth elements removal and separation by adsorptive bubble methods with the use of surfactant and experimental justification of distribution factors and separation factors. The above-mentioned factors of rare earth elements in the process of ion flotation depending on aqueous phase pH with the determination of the forms of recovered compounds were studied.