bluuebunny/crossref_metadata_2025_split huggingface dataset:
Mathematical support for the formation a compromise tax on the profit of the region engineering enterprises
Authors: Bondarenko Yu V , Azarnova T V , Kashirina I L , Sviridova T A , Kravets O Ja 
Published: November 2020

Abstract
The task of managing the regional budget through the local income tax of business entities is very difficult. When solving it, it is necessary to take into account the interests of the authorities, businessmen and the population. The article is devoted to the search for such methods for calculating income tax rates that implement the necessary compromise of interests. The two-level algorithm proposed in the article takes into account the indicator of the integration of economic entities into the economy of the territory. First, the analysis and formation of tax rates for clusters of economic entities is carried out - taking into account the profits of entities and the number of employees in them. This is a top-level task. The group of socially significant economic entities for the region is studied at the lower level, its own optimization models are proposed for it. The results of model testing of models and algorithms are presented. It is shown that for machine-building enterprises a reasonable rate of profit tax to the local budget is 15.5%.
Improving the software engineering algorithm for business
Authors: Fedotov A A , Sergeev S M , Kravets O Ja , Borisoglebskaya L N , Nique E N 
Published: November 2020

Abstract
The changes that have occurred in the business landscape due to COVID-19 present marketologists and entrepreneurs with new problems. The forced trend of a sharp increase in online interaction with consumers should be used. Such global shifts give rise to innovative tools for evaluating commercial results and transform old techniques to correspond to the new reality of the market. This is the basic condition for a business to sustain in any industry. This paper focuses on developing a theoretical description of the multi-stage interaction with the customer base. In order to solve this problem, a mathematical model was developed at the base of which is a digital information interaction, starting with identifying the target audience and finishing with a completed commercial transaction. Unlike the classical sales funnel, the algorithms presented allow a multi-dimensional conversion funnel to be used for more than just evaluating the results of business for the accounting period. Thanks to a stream of arguments for the model in real time, it is becoming possible to optimize the commercial process by moving to the concept of leading economic indicators.
Acceptable area of optimal control for a multidimensional system
Authors: Masaev S N , Dorrer G A , Cyganov V V 
Published: November 2020

Abstract
A research shows the phase space of the system. The phase space of such a system is determined by the development structure of four subsystems with different objective functions. The control loop of such a system is formed. Using the control loop, optimal control is generated. The dynamic control region is calculated on the basis of a matrix determining the structure of the development of a multidimensional dynamic system. It was established that the optimal distribution by R. Bellman’s method allows increasing the increase in the value of the objective function over 5 years by 85% from the initial value with a decrease in the distributed resource by 20%. It is believed that the construction of railways leads to an increase in gross regional product by 2%, but the authors proved that it is possible to increase this figure to 7-8%
Modeling the construction of an individual learning path
Authors: Filippov D M , Kazak A N , Samokhvalov D V , Shamaeva N P 
Published: November 2020

Abstract
In this paper, the most important aspect is touched upon - the principle of constructing an individual learning path in the system of open education. At the moment, there is no clear implemented construction method that satisfies both the learner and the teacher. The method proposed in this paper is based on the use of neural network technologies to determine significant input parameters that affect the success rate. At the first stage of determining an individual trajectory, proceeding mainly from theoretical ideas about the diagnosed set, a “draft” version of the list of parameters is formed. This option includes parameters that, according to the expert, should reflect the individual psychological differences of the subjects. The definition of a “draft” version of the initial set of diagnostic features is a difficult formalized task.
Analysis of infological models
Authors: Kudzh S A , Tsvetkov V Ya 
Published: November 2020

Abstract
The purpose of the work is to study the subject matter and application of infological models and substantiate the definition of the infological model concept. The article contains a short literature review of the use of such term as ‘infological model’. The concepts and viewpoints of the interpretation of this concept are analysed in the article. The article reveals the cognitive factor of the infological model. Many researchers have not considered this factor. The article proves that a cognitive map is the most striking representation of the infological model. The article proves that there is no need to associate the infological model with databases only and to identify it with the entity-relationship model. Based on the research carried out, a new definition of the infological model has been formulated.
Analysis of taxation assessment results and development of a method for applying digital technologies in the assessment of garden agrocenoses stability
Authors: Tarova Z N , Bobrovich L V , Krivolapov I P , Astapov A Yu , Korotkov A A , Grechushkina K S 
Published: November 2020

Abstract
The authors analyze the results of tree taxation of different apple trees varieties on the territory of I V Budagovsky research and development center at Michurinsk State Agrarian University. The plantation valuation and the establishment of locality class were carried out using the methodology of Michurinsk State Agrarian University. Studies have shown that class quality of the garden can be characterized as high – from 85 to 100 points, which corresponds to the first class of quality. Thus, all graft-rootstock combinations are normally developed, while it was found that within the studied population for a number of graft-rootstock combinations the percentage of normally developed trees is on the verge of transition to a lower quality class. The authors proposed a method for developing a program to automatically determine the state of each tree based on using digital recognition technology, the proposed technology will significantly reduce time and labor costs and exclude the subjective assessment factor.
Modeling and optimization of software components for control of industrial enterprises
Authors: Lvovich I Ya , Lvovich Ya E , Preobrazhenskiy A P , Preobrazhenskiy Yu P , Choporov O N 
Published: November 2020

AbstractIn this paper, we consider the approach associated with managing large industrial companies using different types of software. In solving this problem, we relied on computer technology, modeling and optimization techniques. An algorithm is proposed for modeling and optimizing software components during the management of industrial enterprises. A diagram illustrates the operation of this algorithm. The paper gives some results showing an increase in the efficiency of an industrial organization based on the use of the proposed algorithm.
Building self-organizing information and telecommunications systems
Authors: Sukonschikov A A , Shvetsov A N , Andrianov I A , Kochkin D V 
Published: November 2020

Abstract
The article discusses the foundations of the functioning and evolution of complex distributed information and telecommunication systems in the neuro-fuzzy agent-based paradigm. The principles of formalization of this class of systems are proposed. The concept of a distributed intelligent information and telecommunication system is introduced, as a geographically distributed multi-level hierarchical set of hardware and software controlled by an agent-based system.
Synthesis of an optimal algorithm for processing random signals during phase direction finding
Authors: Zhukov A O , Valyaev I N , Kovalenko V P , Turlov Z N , Bondareva M K , Kartsan I N 
Published: November 2020

Abstract
A new method of correlation signal processing with symmetric heterodination is presented, which is a development of the two-band processing method. The proposed processing method allows you to use all the advantages of two-band processing when receiving signals of any type, from broadband to monochromatic.
Resource management in client-server computing systems based on trust assessment
Authors: Lebedev R V , Murigin A V , Tynchenko V S 
Published: November 2020

Abstract
The article describes a trust assessment model and a method based on it for managing client access to scarce resources in a client-server computing system. Trust in a client is the degree to which it meets the standard. The trust assessment score is based on an ordinal preference scale with a limited normalized weight of criteria. The model allows you to get a numerical assessment of the client’s compliance with a given set of criteria. The method of managing computer system resources is based on a controlled impact on the communication channel between the client and the server of the system. This method describes how to select a threshold value for the trust assessment score. The method allows you to reasonably limit the total number of clients in the system and thereby increase the probability of access to scarce computing resources of the server for trusted clients.
Synthesis of parameterized families of correctly functioning sigma-pi neurons
Authors: Shibzukhov Z M 
Published: November 2020

Abstract
The ΣΠ-neuron is a biologically inspired formal model for logical information processing. The ΣΠ-neuron model adequately reflects information processing processes in the cerebral cortex and in the dendritic trees of neurons. The advantage of the ΣΠ-neuron model is the ability to accurately represent any Boolean function and the possibility of constructive learning (direct construction) in a single pass of the training sample. Another possibility is the direct construction of an ensemble of ΣΠ-neurons that function correctly on the training sample. This article discusses a new algorithm for constructing such ensemble of ΣΠ-neurons in parameterized form. This form can also be easily represented as a single ΣΠ-neuron with a hidden layer of linear and threshold linear units. In some cases, this makes it easier to retrain on new inputs by setting the appropriate control parameter values.
The problem of the optimal timing of equipment change taking into account the life cycle of information resources
Authors: Popov A A , Ovsyankin A K , Gorshkov E V , Filipkina T N , Trishkina E I 
Published: November 2020

Abstract
The paper solves the problem of the optimal timing of equipment change in the process of capacity management, taking into account the life cycle of information resources. A simple method for determining the optimal timing for replacing equipment intended for storing and processing information resources is proposed. The purpose of this task is to compare the residual value of equipment in operation and the cost of using it. Since the cost of equipment falls over time, and the cost of operating it increases, there is a moment in time when the costs begin to exceed the residual value of the equipment, and this moment is considered optimal for the transition to new, more productive equipment. This problem is considered in relation to data storage systems, which are currently implemented mainly in the form of disk systems, but the method used is universal. The method is illustrated by a numerical example for one of the IT organizations. Recommendations for servicing disk storage systems are given. Further prospects for the development of this problem with the improvement of the methodology are outlined.
Neural network model in the exoscelete verticalization control system
Authors: Trifonov A A , Kuzmin A A , Filist S A , Petrunina E V 
Published: November 2020

Abstract
The aim of the study is to develop a biotechnical system of the rehabilitation type, designed to restore the motor activity of the patient’s muscles through biotechnical and biological feedback. The obtained classification models of surface signals of electromyograms can be used to create intelligent rehabilitation systems for patients with neurological diseases and will allow the development of diagnostic test stimulation programs that can be used to create artificial biological feedback. This will provide new predictors of the risk of socially significant diseases.
Numerical modeling of turbulent flows near axially symmetric surfaces
Authors: Gorokhov M M , Korepanov A V , Tenenev V A , Vologdin S V 
Published: November 2020

Abstract
The relevance of performing numerical modeling of turbulent flows around axially symmetric surfaces is presented. A review of similar scientific works is carried out. A mathematical model of a turbulent axially symmetric flow around particles of an arbitrary shape surface is constructed. A numerical method for performing calculations is described. Numerical methods for constructing a curvilinear orthogonal grid have been developed. Examples of flow around particles are presented for the turbulent boundary layer.
Prediction of the risk of cardiovascular complications with a segmented space of risk factors and synergy channels
Authors: Shatalova O V , Mednikov D A , Protasova Z U , Stadnichenko N S 
Published: November 2020

Abstract
To predict coronary heart disease, a basic structure of a multi-agent intelligent system is proposed, which contains “strong” and “weak” classifiers. “Weak” classifiers are divided into four groups, the first of which analyzes data obtained on the basis of traditional risk factors for coronary heart disease, the second - based on the analysis of electrocardiological studies, the third group of “weak” classifiers is designed to diagnose concomitant diseases and syndromes by predictors used the first two groups of agents, and the fourth analyzes environmental risk factors. The intelligent system allows you to manage the decision-making process through a combination of expert assessments, statistical data and current information. Experimental studies of various modifications of the proposed classifier model have been carried out. Analysis of the classification quality indicators in the experimental group of subjects with different ischemic risk indicators showed that taking into account the influence of the introduced risk factors in the control group increases the diagnostic efficiency by seven percent compared to the experimental group, which acts as a background.
Structurally - substantial approach to the development of the exhibition strategy of industrial high-tech enterprises in the context of adaptation to the modern realities
Authors: Bulantseva L V 
Published: November 2020

Abstract
This article considers the modern approach to the development of the exhibition strategy for high-tech industries. The main conceptual categories are revealed and the structural elements of the exhibition strategy are described. The types of exhibition strategies and alternative formats of participation in exhibitions are shown. Particular attention is paid to the segmentation of the visitors and the positioning at the exhibitions, whose participants are machine-building enterprises. The structure of the “Exhibition strategy” document is presented.
Identification of models using analog sensitivity functions
Authors: Voronov V S , Rouban A I 
Published: November 2020

Abstract
The paper proposes an algorithm for retrospective and adaptive estimation of sensitivity functions in relation to the problem of parametric identification of a dynamic model of an object. The proposed approach is based on the combined use of local and global sensitivity analysis methods. The algorithm is based on the use of analogs of sensitivity functions. They are not sensitivity functions in strict sense in the case of large parameter deviations. Analogs of sensitivity functions become their estimates with reduction deviations. The procedure for compressing the region of variation is based on the approach used in the selective coordinate averaging algorithm. The results are used for evaluating the sensitivity functions of the Monod model, and for parametric identification of the simple distillation process model using the adaptive least squares method.
Satellite high-spatial-resolution multispectral imagery for crop type identification using Sentinel Application Platform and R software
Authors: Boiarskii Boris 
Published: November 2020

Abstract
Information systems and their management are the main tools in all aspects of human life. Computer science is an integral part of 21st-century farming. The interaction of computer technology and nature is important in the agricultural industry. One of the main tools in data collection, management, and analysis is a satellite. Satellite images are used in analyzing crop health, detecting crop losses, and managing fields from data collected over an observed period of time. This study used high-resolution satellite imagery to obtain field data and identify the type of crops by using R software computing. These studies may help farmers to monitor their losses, and administrative authorities to prevent possible falsification of crop losses. Therefore, a year-long crop growth analysis was conducted in the Amur Region, Russia, on the All-Russian Scientific Research Institute of Soybean agricultural field. Two types of crops were identified in the field using computer technology based on analyzed data. The results of the analyzes will be used in the subsequent determination of crops in the agricultural development program of the Amur Region.
Developing an application for stress analysis in the OpenFOAM software
Authors: Chitalov D 
Published: November 2020

Abstract
The article contains the results of studying stress analysis in the OpenFOAM software and a process of developing a software GUI application for this analysis. The author defines the urgency for the development, compares the available software products in this field. A stack of technologies to develop a graphical interface source code is defined. The study resulted in the desktop GUI application for stress analysis in the OpenFOAM software. The results of the application tests using a classical continuum mechanics problem included in the platform distributive are given. The statements that have scientific novelty of the development and its practical use are formulated.
Algorithm for processing weakly formalized information
Authors: Kopyltsov A A , Kopyltsov A V 
Published: November 2020

Abstract
An algorithm for processing weakly formalized information is proposed, which is based on the methods of processing and storing information that are used in living organisms. In particular, the compactness of storage and processing of heterogeneous information according to a single algorithm, the generation of new information based on the comparison of recently received and processed information in a certain way with previously received and processed information, consideration of priorities in the processing and use of information, consideration of recurring patterns in the incoming information, based on which develops a stereotype of animal behavior. This approach makes it possible to efficiently store weakly formalized information, i.e. store not all incoming information, but only the results of its special processing, And also effectively process a large volume of incoming weakly formalized information (by taking into account priorities), identify recurring patterns in the flow of incoming information, effectively generate new knowledge, (analyze stored in memory, the results of special processing of weakly formalized information).
The application of the statistical method for calculating the area of the areal object
Authors: Kudzh S A , Rogov I E , Tsvetkov V Ya 
Published: November 2020

Abstract
This article introduces a new concept and a new type of modelling – granular information modelling. This modelling is based on the granular computing method and a systematic approach. It is shown that a number of information field objects are comparable to the concept of information granules. The concept of information granules is used in computing technologies. The article develops the concept of information granules as information field objects. The hierarchy of information granules in the information field is shown. The similarity and difference between a cluster and an information granule are shown. The article proposes the interpretation of information granules as a mechanism of information modelling. It also proposes the information modelling method that allows building a structure of granules and relations between them. This method uses a linguistic and set-theoretic approach.
Logits-based processing of educational information
Authors: Burevtsev A V , Rogov I E , Kozlov A V 
Published: November 2020

Abstract
The objective of this work is to study the processing of educational information using logits. The one-parameter Rasch model is used as a basis for test data simple processing. We consider the statistics on a group of students and on different groups. Based on the test results, we consider two situations and two correlations. The first correlation is between grades and knowledge. The second one is grade dependence on the question difficulty. Two parameters are evaluated: the knowledge level and the question difficulty. We describe each situation in a diagram form. The model parameters are discussed. Formulas for calculation are given. The paper shows a mechanism for analyzing the results and how qualimetric evaluations are connected with the real knowledge level and test complexity.
Technology for extracting instant coordinates of sea vessels in a selected part of the World Ocean from online maps
Authors: Kuzhbanova E A , Porshnev S V 
Published: November 2020

Abstract
The article describes a technology that provides the extraction of instant coordinates of sea vessels in a selected part of the World Ocean from free online maps and its software implementation, consisting of two MATLAB functions: RecognizeText.m and ComporationImage.m. The first function returns the recognized ship names on the electronic chart and the coordinates of the rectangles described around the given names. The second function is the values of the coordinates of the ships, calculated from the analysis of online map. Current results confirm the performance of the developed software.