bluuebunny/crossref_metadata_2025_split huggingface dataset:
Operation features of electrostatic vibrational energy harvester based on contact potential difference
Authors: Ostertak D I , Sinitskiy R E , Dragunov V P 
Published: November 2019

Abstract
The paper presents a theoretical study of the electrostatic vibrational energy harvester (e-VEH) operation features based on the work function difference between the variable capacitor electrodes. The analysis was carried out for two types of the conditioning circuits: half-wave rectifier and Bennet doubler circuits both with ideal switches and diodes. Both circuits are able to accumulate electrical energy even for low contact potential differences V
bi. Bennet doubler demonstrates higher efficiency than the half-wave rectifier. However, when the variable capacitance modulation depth η ⩾ 2 it is necessary to introduce special means to limit the voltages growth process and avoid an electrical breakdown for the Bennet doubler circuit. For both circuits with diodes the capacitor voltages become lower than those for the circuits with switches and depend now not purely on the built-in voltage V
bi and η, but also on the used diode parameters. When the values of V
bi increase the capacitor voltages for circuits with diodes tend to the corresponding voltages for the circuits with switches. There is also a strong dependence of the capacitor saturation voltage V

C1,max on inverse current of the diodes IS
. The optimal inverse current of the diodes when the highest saturation voltages are reached is found to be in the range from 50 pA to 100 pA.
Development of a power transformer residual life diagnostic system based on fuzzy logic methods
Authors: Ivanova T S , Malarev V I , Kopteva A V , Koptev V Yu 
Published: November 2019

Abstract
The existing methods of diagnostics and control of a power transformer residual life have been studied. The results of developing a new diagnostic system, which is introduced into a tree structure of the automated system for monitoring and control of transformers and implemented via the data mining of errors based on fuzzy logic, are presented. Operating with fuzzy sets and introducing linguistic variables, an algorithm was created using a tree structure, which is translated into a program code. The system operation principle is shown using the selected diagnostic parameters of a power oil transformer.
Comparison of methods for start points initializing of a non-parametric optimization algorithm
Authors: Pavlenko A A , Kukartsev V V , Tynchenko V S , Shigina A A , Chzhan E A , Kukartsev V A 
Published: November 2019

Abstract
The problem of global optimization arises in various fields of science and technology, and several different ways of solving it have been proposed. The results of the study of the effectiveness of the non-parametric global optimization algorithm are presented. A comparative analysis of this algorithm is presented. performance analysis of the algorithm based on the Ackley, Rastrigin, Shekel, Griewank and Rosenbrock function. In addition, studies were carried out for the three initial points of the distribution algorithms: the sequence LPτ, the sequence UDC, the uniform random distribution. thus, the best way to initialize the initial points of the non-parametric optimization algorithm on these test functions was identified. According to the research results, the effective parameters of the genetic algorithm were established.
Optimal parameters selection of the genetic algorithm for global optimization
Authors: Pavlenko A A , Kukartsev V V , Tynchenko V S , Mikhalev A S , Chzhan E A , Lozitskaya E V 
Published: November 2019

Abstract
The purpose of this work is to summarize the results of research concerning the application of genetic algorithms, since in solving problems of complex systems optimization situations often make it difficult or impossible to use classical methods. To solve this problem, research is carried out on the functions of Akli, Rastrigin, Shekel, complaints handling functions and Rosenbrock functions. The studies are conducted on three starting point scattering algorithms: LPτ sequence, UDC sequences and universal random variation. As a result of the analysis, the option of initialization, selection, recombination, mutation and coding of this algorithm according to given test functions for the data of the scatter of initial points is chosen. The effective parameters of the genetic algorithm according to the results of research are established.
Use of semantic description of reference scene for visual navigation solutions
Authors: Bodunkov N E , Pindiurina M O 
Published: November 2019

Abstract
This article is devoted to the description generation of reference scene applying to visual navigation problem. The authors investigate the semantic descriptions that are more resistant to changing conditions of observation, thus being an alternative to existing approaches that use raster, feature, or object descriptions. There are no publications, considering similar approach of utilization for visual navigation problem solution. In the article the original description structure is proposed. The experiments involving descriptions of various scenes under various conditions have been conducted to assess the workability of the proposed approach. It is suggested that semantic descriptions are more resistant to partial occlusion of scene objects or changes in their visual features than other description types and can be used to solve visual navigation problems.
Identification of plants condition using digital images
Authors: Braginskii M Ya , Tarakanov D V 
Published: November 2019

Abstract
The paper deals with the problem of evaluation of the current state of plants by digital images using color and morphological descriptors. The above mentioned problem is widely used in automated greenhouse control systems. The paper presents a procedure for identification of the state of plants. The questions of segmentation and morphological image processing are considered. Self-organizing Kohonen networks and feed-forward networks are used as classifiers of RGB images and geometric descriptors. The use of the approach described in the paper allows remote assessing the condition of plants in greenhouses, increasing productivity and reducing the percentage of crop losses.
Formation of initial point of initialization methods for optimization algorithms
Authors: Tynchenko V V , Pavlenko A A , Bukhtoyarov V V , Tikhonenko D V , Tynchenko S V , Tsvettsykh A V 
Published: November 2019

Abstract
The initial point of initialization method is one of the main parameters for global optimization algorithms. Many scientists are engaged in its construction. The importance of this parameter for the entire algorithm is still not proven at all. Today, initialization methods based on stochastic algorithms are used. Six algorithms for constructing multidimensional points for global optimization algorithms – boolean strings – is designed. The available algorithm is analyzed. The authors use the starting points scattering algorithms, which are: LPτ sequence, UDC sequence, uniform random scatter. A large number of algorithms relaunches is used. The best way to initialize the starting points for the non-parametric, genetic algorithm, the MIVER scheme algorithm and the collective optimization method based on the Co-Operation of Biology Related Algorithms (COBRA) for these test functions has been determined.
Methods of marketing assessment of enterprise market position based on the analysis of indicators in assortment space
Authors: Pishchukhin A M 
Published: November 2019

Abstract
Multidimensional space is a convenient means of presenting large amounts of information. This fully applies to the assortment space of a particular enterprise. The novelty of the approach of this study is based on the fact that a large amount of information on the sales of products of each type from the range is reduced to three integral indicators: the total sales, remoteness from the beam of norms in the plane of equal contributions and the angle of rotation of beam on image point relative to main view products. In this case, the norm beam is constructed as a locus of points with the same ratio between coordinates based on regional statistics on the types of studied products. Remoteness and rotation angle are determined in the plane of equal contributions, that is, where enterprises are located, with the same total sales. The paper shows that such a presentation allows simplifying and cheapening the marketing algorithm, increasing the management system speed of an enterprise.
Mathematical modelling of economic planning issues of cyber security and organization of information security
Authors: Mandritsa I V , Fensel A , Mecella M , Bogatinoska D Capeska , Petrenko V I , Mandritsa O V , Solovieva I V 
Published: November 2019

Abstract
The article presents the theoretical concept of economic protection of cybercasting as part of cybersecurity and all its elements: information security, network and Internet security against modern threats for organization. Such categories as: cyberinformation, economics of cybersecurity, and classification of the concept of «Damages from loss or cybercasting» and its value of content in the form of loss of business information are firstly introduced. For example, famous in optimal programming in math of its proposed transport task solution to search for optimum protection in view of possible threats or cybercasting the emergence of economic damages.
Mathematical modeling of economic processes in complex systems (on the example of Krasnoyarsk municipality)
Authors: Nikulina T N , Zhirnova I S , Stupina A A , Zhirnov A A 
Published: November 2019

Abstract
The article is devoted to one of the topical tissues of scientific research, mathematical modeling of economic systems. In the activities of the municipality mathematical modeling is of great importance, as it helps to make decisions in complex economic systems. In this article the role of mathematical modeling on the example of Krasnoyarsk municipality in the framework of socio-economic development forecasting is considered, the algorithm of mathematical modeling is presented. The purpose is to study the features of the use of mathematical modeling of complex economic systems in the activities of the municipality of Krasnoyarsk. Research methods: analysis and synthesis, methods of mathematical modeling. As a result, it is noted that this model is actually a tool for determining how the change in any indicator affects other parameters of system development.
Methods for the determination of effective management decisions in insufficient information conditions
Authors: Moiseev V V , Karelina M Yu , Cherepnina T Yu , Karelina E A 
Published: November 2019

Abstract
The article analyzes the methods of removing uncertainty in conditions of insufficient information for making effective management decisions in complex organizational systems. In such tasks, the choice of an effective solution depends on the state of the external environment of the study and implies the use of a number of methods or mathematical models for solving multi-criteria problems. The main methods used in cases of occurrence of a situation of uncertainty due to insufficient information are the a priori ranking methods and multiple regression analysis. However, methods based on expert judgment have a significant degree of subjectivism, and methods formed on the experimental basis and mathematical planning of research are laborious and generate uncertainty with a large number of objects or elements involved in the situation. An alternative to the above is the method of zoning, which implies dividing the set of possible states of the research environment (nature) into subsets of the dominance of individual actions. The zoning operation is an inverse parametric linear programming problem. Consequently, for solving problems in conditions of insufficient information, one can use vector optimization methods.
Formalization of dynamic scheduling for an educational center
Authors: Kozlovskaya E B , Kazakovtsev L A , Patsuk O V 
Published: November 2019

Abstract
The model of scheduling with the opportunity of daily adjustment, which contains four groups of constrains, is made on the basis of the analysis of the provided services features and legal requirements. Necessary scalar and matrix variables are entered. For the decision of similar tasks the methods based on combinations of genetic programming with greedy algorithms and procedures of local search, traditional for similar tasks are well proved. In view of inaccuracy of the initial sending, inaccuracy of the regulatory base, existence of inevitable noises and many other unaccounted factors, in real tasks of design (where it is required to define expiration date of the project or its cost) special accuracy is not required. Besides, the found option of distribution of resources can always be used as first approximation for more exact calculation, and specification can be made by means of much less labor-consuming methods of the perturbation theory.

A post-publication change was made to this article on 6 Jul 2020 to correct an author name.
Integrated platform solutions and quality management in the planning and organization of production processes
Authors: Goryunova V V , Goryunova T I , Lukinova O V 
Published: November 2019

Abstract
The article deals with the task of coordinating digital and industrial platforms in the context of interaction between the subjects of the digital economy. Digital transformation should occur against the background of the systematic introduction of modern corporate governance methods, including: investment management, project management, financial management, personnel management, knowledge management, etc. The authors clarify the possibility of using ontologically oriented intellectual methods to support planning and organization of production processes. The article shows that the use of intelligent methods in building platform solutions begins with identifying, classifying and describing the main processes of an enterprise, establishing their sequence and interconnection. The authors propose ontologically oriented methods for coordinating the management and planning of production processes. The models are presented of production data support scenarios in accordance with the requirements of business processes. In addition, in addition to the production process scenarios, the solution includes a set of typical user access scenarios and basic data transfer services by experts.
Modeling of economic processes and application of software in educational process for the development of economic competencies
Authors: Barasheva E V , Dmitrieva L Yu 
Published: November 2019

Abstract
The article shows the practical application of software in the educational process in the study of economic disciplines. The analysis of economic model of attraction of investments in social and economic cluster and the software developed on it at modeling of level of profitability of budgets of different levels – federal, regional and local, under the influence of various factors is given.
Machine learning in economic planning: ensembles of algorithms
Authors: An J , Mikhaylov A Y , Sokolinskaya N E 
Published: November 2019

Abstract
The algorithm for machine learning of a transport type model is presented for the optimal distribution of tasks in safety critical systems operating in an automatic mode without operator participation. Safety critical systems in various application areas can operate in a wide range of modes - from pure manipulation by the operator prior to their autonomous execution of tasks as part of heterogeneous group. As it is shown by simulation studies of the adaptation algorithm generalized payment matrix of the transport model to the real preferences of the decision maker, even in conditions of significant noise measurements, the proposed algorithm for machine learning model leads to a fairly rapid convergence of estimates. Normalized error from the 15th step does not exceed 10 percent. In this case, the rate of convergence of estimates is not an end in itself in the case of adaptive distribution of tasks in the group of algorithms; an important indicator is the convergence of solutions that exist above the convergence of estimates.
Dynamic model of real investment with lags
Authors: Lutoshkin I V , Yamaltdinova N R 
Published: November 2019

Abstract
The dynamic optimal control problem of corporation’s real investment in case of a limited budget is analyzed. Initial optimization problem is formulated as a system of linear integral equations of Volterra type. The offered model takes into account the accumulated effect of real investment and previous revenue on sales. It is supposed that the previous revenue indirectly affects the current one and reflects the influence of other factors. The accumulated impact of investment is distributed over a fix time interval. The total profit maximization problem under restrictions is stated. The existence theorem for the solutions of the total profit maximization problem is proved. The model is tested with the real data. In this case the Pontryagin’s maximum principle and numerical methods of solving the integral and differential equations are used. The results of experiment are in accordance with the understanding of optimal investment strategy. Considering it the authors state that the offered model makes a solution which is possible to increase the total profit over the planning period.
Software modelling of network traffic filtering process in information system regulating the access to Internet content via HTTP
Authors: Budnikov K I , Kurochkin A V 
Published: November 2019

Abstract
One of the most popular ways to restrict the access to information hosted on the network, which is necessary to comply with the requirements of security, copyright, labor regime, etc., is filtering of requests to an Internet resource by its URL. It allows using a selective approach to information resources located on one and the same IP-address and prohibiting access when necessary. It can be considered as the most balanced in terms of the advantages and disadvantages. The authors carried out simulation computer modeling of the filtering process for the information web-system, in which a filtering device is built in using specially developed software. Filter processes requested flows to a server by a group of users connected to it and countered information from a server. All network interfaces were simulated by software, and all network data flows proceeded in the memory of the simulating computer. This approach allows eliminating the influence of the network infrastructure on the operation of the model. Two filtering methods: the standard method of preliminary analysis of requests and the proposed post-analysis method were compared in the process of modeling. The decrease of the average waiting time for a response from the web-server when a user request to a web-resource passed through the simulated filtering device, which worked in the post-analysis mode, up to 14% compared to the device that worked in standard mode were shown during computer simulation. Filter throughput increased by up to 54%.
Method of analyzing computer traffic based on recurrent neural networks
Authors: Chastikova V A , Sotnikov V V 
Published: November 2019

Abstract
The given paper proposes a method of analyzing network traffic based on recurrent neural networks. There overview of perspective approaches for analyzing network traffic in order to detect attacks is provided. The authors investigated the largest and currently the most relevant CICIDS2018 dataset. The methods of dealing with the class imbalance in a dataset by adapting the Focal Loss function to the problem of traffic analysis are considered. There proposed method provides the effective representation of information characteristics of network packets by means of encoder subnetworks. The resulting embeddings are fed at the input of the recurrent LSTM layer. The designed network meta-architecture is potentially effective for the presented dataset as well as for relevant analogues.
Toxicological evaluation of the waste of carbonitration process at the machine building enterprise
Authors: Kuksanov V F , Chekmareva O V , Moiseeva A A , Shabanova S V 
Published: November 2019

Abstract
Nowadays, the principle of balanced development of the machine building industry and, at the same time, the preservation of the natural environment is fundamental in the modern world. The processes used in the technological cycles of machine building enterprises should be safe both for humans and for the natural environment. One of the types of chemical and thermal treatment of metal is the process of liquid carbonitration, which allows improving the exploitation properties of treated pieces. As a result of this technology, two types of waste are generated. For a toxicological evaluation of the waste of carbonitration process, two test cultures were chosen as model organisms: Daphnia magna and Scenedesmus quadrcauda. In the course of the study, it was found that wastes from the process of carbonitration in certain concentrations have an acute toxic effect and belong to the 3rd and 4th hazard classes.
Optimization of production processes when building a value flow map
Authors: Akimov S S 
Published: November 2019

Abstract
The article aims to optimize value flows using the VSM map to increase the efficiency of an enterprise. The article shows that the VSM method is a key method of lean manufacturing. It has already gained popularity. Application of the method is relevant for industrial, transport, educational and many activities. Simulation of production processes reflected as flows for two different industrial activities. This approach allowed for the use of valuation methods to optimize production processes. The approach to assessing the effectiveness of the flow has been changed, and new assessment methods have been proposed.
Simulation of temporary mechanism for self-organization of production and consumer activities of operating entities
Authors: Zhelaeva S E , Aganaeva N Yu , Garmaeva E Ts , Radnabazarova O B , Khamaganova T K 
Published: November 2019

Abstract
The essence of the proposed scientific hypothesis lies in the multiplicity of time forms in the economy which reflects the specifics of the fundamental economic relationships between subjects, determines the direction and pace of economic development, reveals the ability to control and regulate the process of self-organization of production and consumer activities of subjects. The purpose of the study is to investigate the structure of time in the subject’s economic space based on the methodology of interdisciplinary interaction of the concept of multiplicity of time forms. As a result, based on the synthesis of Marxist, neoclassical and evolutionary methodologies of economic theory, we justify the control effect of time on the individual’s production and consumer activities according to his/her preferences in the distribution of the calendar budget of time for working and free time. On this basis, the authors propose a model of a temporary mechanism for self-organization of both production and consumer activities of economic entities and the market economy as a whole.