bluuebunny/crossref_metadata_2025_split huggingface dataset:
Omni-channel customization of industrial production
Authors: Guryanova D A , Guryanov A V , Zharinov I O 
Published: May 2020

Abstract
The customizing technologies development stimulates the industry transition to implement into the production practice some new business models how to interact with the consumer some new manufacturing business processes to personalize the items. The industry adaptation for new models to control a production may explain the consumer mentality significant transformation and a result of which the production project priority tasks become the tasks to provide some individual requirements for a consumer. In short term the industry customizing is the turn moment of the State technological politics which already today modifies the population cultural code to prepare some productions oriented for the knowledge economy services. There are schemes and descriptions of technologies how to project and produce a customized item in the factories of the future. The customer interaction technologies with web resources applications are described to support some optional settings of customized item properties. There is a scheme of the industrial item omni-channel customizing coil scheme oriented for the end consumer. There are some research results and practical recommendations how to transform industrial companies business processes oriented for a customized item as the society development dominating factor in the postindustrial economy conditions.
Long-term projecting in the local or territorial automation systems with alternative network models
Authors: Potudinskii A V , Vlasov A V , Lysov D V 
Published: May 2020

Abstract
When monitoring long-term target-oriented innovation programs where alternative stochastic network models can be determined and optimized within the period of the project’s realization (e.g., transcontinental pipelines, developing oil/gas fields, creating new innovative industrial areas, etc.), we recommend applying the outlined basic structure of a long-term development model. Those models are based on the following concept: in all encountered situations within the progress of the project when the manager is faced with necessity to make a choice from the set of possible alternatives, he has to determine: deterministic alternative scenarios (fragments) which describe different ways to reach the desired target, and a stochastic system (usually a purely stochastic alternative network) with multi-variant outcomes of random nature. Such a stochastic system is fully determined by the chosen scenario and usually follows the latter.
Overview of the evaluation methods for the interpretable business decision support model for cybernetics and organization of production
Authors: Zuev Dmitry A , Kalistratov Alexey P , Zuev Andrey G , Afanasyev Guennadiy I , Revunkov Georgiy I , Potudinskii Alexey V 
Published: May 2020

Abstract
Authors made an overview of approach towards creation business decision support model. Authors underline requirements and evaluation methods for proposed model to be used in cybernetics and organization of production. Authors described domain problems and proposed interpretable model as a solution. Authors explored levels of the evaluation and chosen one that suits their problem. Authors also discuss business model influencing factors as local interpretability, severity of incompleteness, time constraints and level of user expertise.
Management model of a business union in service companies of aerospace industry
Authors: Smarzhevskiy I A , Murtuzalieva S Yu , Myakishev Yu D 
Published: May 2020

Abstract
The article contains a hypothesis about the operational properties of an employee based on an analysis of a number of empirical objects and the results of a study of the organizational behaviour of service company employees in the aerospace industry. A model of the impact on the operating performance of a separate structural unit of a company depending on a priori personnel installations is presented. Two different categories of workers: career-oriented and non-career-oriented, are the basis for adopting a priori attitudes. The second key assumption of the model is the assumption of a limited period in time during which a career-oriented employee maintains a sufficient level of performance. To maintain the efficiency of the structural unit at the required level, the management is forced to make decisions about promoting career-oriented employees and dismissing non-career-oriented employees. Within the framework of the analytical model, a region of parameter values is established corresponding to the adoption of effective personnel decisions. The range of applicability of the model has been determined: the features of the organizational structure and operating activities characteristic of service companies make it possible to consider the assumptions of the model realistic in relation to such business structures
Automated approach to building the multilingual frequency dictionary on system analysis and computer technologies
Authors: Kovalev I V , Karaseva M V , Voroshilova A A 
Published: May 2020

Abstract
The paper analyses the practical application of the multilingual adaptive – training technology. It contributes to the intensive accumulation of specialized foreign terminology by students who study one or more foreign languages for their professional purposes. The current version of the electronic multilingual dictionary is presented. The paper suggests a computer-aided approach to the analysis of the Multilingual frequency dictionary on system analysis and computer technologies.
Semistructured information in the organization of processes for managing large production systems
Authors: Polishchuk Y V 
Published: May 2020

Abstract
The paper proposes a functional-structural representation of a decision support system for large production systems that implements the ability to process semistructured factual information of related operational content through a single access interface. The application of the latter provides quick access to all factual information for a group of decision-makers in the synthesis of control actions on a large production system or its subsystem.
Simulation of the automated motion of a robotic agricultural vehicle
Authors: Susarev S V , Orlov S P , Kravets O Ja , Morev A S 
Published: May 2020

Abstract
The report explored the problem of digital testing of a robotic agricultural vehicle. The approach to representing the robotic chassis as a cyber-physical system is to build a complex of digital models of units and built-in measuring tools for monitoring physical processes. Based on a model-oriented approach, a digital twin of a robotic chassis for diagnostics and forecasting was built. Information from the vehicle’s on-board measurement system is used to continuously correct model parameters. Models of a car driver, chassis, individual units, and subsystems have been developed. A car model with fifteen degrees of freedom is described. The simulation results for various scenarios of the movement of a robotic vehicle are presented. The simulation results were used in the design of the KAMAZ unmanned vehicle for agricultural purposes.
Automatic x-ray image analysis for aviation security within limited computing resources
Authors: Andriyanov N A , Volkov Al K , Volkov An K , Gladkikh A A , Danilov S D 
Published: May 2020

Abstract
The objective of this work is to develop approaches to automating inspection procedure at airports. The article presents the deficiencies of the existing inspection system, concluding in the negative impact of the human factor. It is proposed to use convolutional neural networks for automatic x-ray image analysis of passenger baggage. The paper presents the results of the convolutional neural network with various input data and architecture within limited computing resources. In a view to further development, this study can contribute to the development of specialized software to help aviation security screeners through partial automation of their work.
Image enhancement with DAGNet-based artificial neural network
Authors: Veremeev D N , Obuhov P S , Kislov K V , Yaskevich O G 
Published: May 2020

Abstract
The article is devoted to an artificial neural network that increases image resolution. According to the meaning of the article, two parts can be distinguished. The first part of the article discusses the process of designing an artificial neural network using DAGNet technology, during which its main parameters and structure are described. The second part is devoted to assessing the quality of functioning of the developed artificial neural network. To evaluate the performance of ANNs a comparative analysis with the bicubic interpolation method was used.
Analysis of the temperature regime of basin geosystems of the Krasnoyarsk Territory using MODIS satellite images and ground-based data
Authors: Erunova M G , Yakubailik O E , Yakubaylik T V 
Published: May 2020

Abstract
With the availability of a highly sparse and even shrinking network of ground-based weather stations in recent years, satellite remote sensing is a worthy alternative to traditional methods of measuring temperature, which provides long-term homogeneous data series for the studied territories. This article addresses the problem of the applicability of MODIS satellite data for analyzing the temperature characteristics of the regions of the Krasnoyarsk Territory. The thermal regimes and effective heat sum of the territories using ground-based data from weather stations and satellite images have been compared. Statistical data on the temperature regime in the basin geosystems of the Krasnoyarsk Territory has been obtained.
Mapping retrieval method for academic publications in the field of aerospace technology safety
Authors: Serdechnyi A L , Goncharov A A , Ostapenko A G , Bataronov I L 
Published: May 2020

Abstract
The article presents result of the development and application of the Mapping retrieval method. The method is based on the construction, location in two-dimensional space and the analysis of the citation graph, which found in bibliographic databases. The method allows increase the speed and quality of the scientific research, as well as to review publications on a given topic. It is possible to identify the most authoritative co-authors communities in the field of topics of interest, as well as identify trends and predict the development of the topic. In addition, the Mapping retrieval method allows finding academic publications on related interdisciplinary research without known keywords that are needed for traditional text retrieval methods. The method is demonstrated by the example of constructing and analyzing the retrieval map in the field of safety of aerospace technologies, which made it possible to identify and track the development of thematic clusters. As a result of a mapping retrieval, a number of the most interesting academic publications were identified. Their brief review is presented in the article
A new algorithm of solving harmonic balance equations
Authors: Lantsov V N 
Published: May 2020

Abstract
The harmonic balance method is widely used for simulation of nonlinear radio circuits in electronic CAD systems. The main problems of algorithms and programs based on HB methods are significant requirements for computer memory and huge computational costs when simulate a complex circuits containing thousands of electronic components and hundreds of thousands of model equations. Methods of model order reduction have become popular in recent years and can significantly reduce the dimension and memory required for electronic circuit models for dynamic mode analysis. The main problems of low-order methods for simulation of electronic circuits are associated with very small reductions in computational costs (with a significant reduction in the dimension of the equations and the required memory for the model). A new method and algorithm of solving the equations of harmonic balance method used in electronic CAD systems is presented. The new algorithm is based on applying the ideas of model order reduction methods to harmonic balance equations. A new method replaces the vector (matrix) of equation unknowns by two matrices of small dimensions that are solved by iteratively (as into the standard harmonic balance method). The first system of equations reduces the number of harmonics in balance equations, and the second system of equations reduces the number of circuit nodes. These equations of small dimensions are solved sequentially, so this algorithm allows significantly reduce the size of computer memory for storing of model equations and reduce of computational costs. The simulation program was developed in the Matlab/Simulink system. The results of simulation test circuit with different number of electronic circuit nodes and the number of considered harmonics showed that the gain was obtained only for dimensions of problems more than one hundred (the number of nodes and the number of considered harmonics).
Internet of things networks predictive risk assessment method and security management
Authors: Bolgov A A , Ermakov S A , Parinova L V , Kostrova V N 
Published: May 2020

Abstract
The methodology of predictive security violation risk assessment based on the use of fuzzy logic is offered. Demonstrates one risk assessment methodology use for IoT-network in presence of data about protocols used in network wireless devices. Alternative methodology for risks predicting when at the initial stage experts estimate input parameters, with subsequent data processing using the hierarchical methodology based on fuzzy inference systems that can reduce the influence of subjective expert evaluations of the researched object is offered. Numerical estimates of risk, despite qualitative character of expert estimates of input parameters are received.
Indoor ultrasonic positioning system transceiver modules
Authors: Morohin D V 
Published: May 2020

Abstract
Positioning systems allow you to determine the position of an object. Global positioning systems use signals from satellites for this purpose, and local (indoor) positioning systems use a wide range of physical phenomena that can transmit signals. In particular, one of these phenomena is ultrasonic. The author of this article propose a solution in the form of devices for emitting and receiving an ultrasonic pulse with high sensitivity and a wide solid angle of reception/emission of ultrasonic, which can be successfully applied in an indoor positioning system.
The language of left brackets as a morphism of a maximum prefix code
Authors: Melnikov B F , Korabelshchikova S Yu , Dang V V 
Published: May 2020

Abstract
We investigate the solvability of the equivalence problem in various subclasses of the class of context-free languages. Another fundamental problem necessary for the material in this paper is also the special binary relation for a set of finite languages. Combining these two topics, we obtain in this paper the necessary and sufficient conditions for the equality of two bracketed languages for the prefix-and-suffix case.
Regional socio-economic parameters modeling and system analysis by means of programming and computing suite
Authors: Ketova К V , Rusyak I G , Saburova E A , Vavilova D D 
Published: May 2020

Abstract
This paper presents a programming and computing suite which comprises regional socio-economic parameters database (gross regional product, physical capital, human capital and their investment volume), an analytical subsystem which renders mathematical models of parameters’ analysis and forecasting, as well as visual representation unit of modeling and forecasting results. In view of the results, a system research report is built, providing information on socio-economic condition of the region. The calculations are performed by the example of the Udmurt Republic.
Spacecraft onboard computers control automation
Authors: Tabakov E V , Zinina A I , Kosinskiy M Yu 
Published: May 2020

Abstract
This paper concerns the task of onboard spacecraft’s computers functioning analysis problem. Existing approach is analyzed. Criteria of onboard computers normative functioning and source data for analysis implementation are defined. As a result, telemetry analysis algorithm for forming decisions about onboard computer normative functioning is offered. Program based on it is developed.
On the formation of membership functions for fuzzy sets in the logical representation of knowledge
Authors: Serov Vladimir V 
Published: May 2020

Abstract
The problems of using characteristic membership functions to describe fuzzy knowledge in the form of a logical calculus of fuzzy first-order predicates are considered. Some possible types of functions and methods for their preparation are described. The possibility of using these methods for the development of expert and intelligent systems in various subject areas, such as enterprise management, recognition of the structures of polyatomic molecules, is shown.
Protection of information presented as pseudo-probabilistic display in the information exchange channels of UMV
Authors: Moiseev D V , Mashenko E N , Nikishin V V , Lukina L I 
Published: May 2020

Abstract
The work considers the fundamental possibility of using a pseudo-probabilistic form of information representation for its protection when transmitting over open communication channels. Data transmission is becoming one of the priorities for ensuring sustainable, continuous, operational and stealthy management of unmanned vehicles. This is due to the wide use of automation, digital information, integration of various systems and means of control, management, etc. Data traffic with a large number of video images increases in an avalanche, and it is necessary to transmit information with guaranteed delivery and minimal delays.
Debugging method for spacecraft’s equipment based on ARM processors
Authors: Tabakov E V , Zinina A I , Kireev D S 
Published: May 2020

Abstract
This paper concerns the problem of onboard spacecraft control system equipment debugging in the part of providing correct operation of onboard software. The disadvantages of existing software tools for debugging are considered. The new method of interaction with ARM processor-based microcontrollers is proposed. This method is based on using OpenOCD and QT tools and allows to avoid considered disadvantages. The new software is designed based on this method. The main modes of its operation are described.
Reservoir computing using high order synchronization of coupled oscillators
Authors: Velichko A A , Ryabokon D V , Khanin S D , Sidorenko A V , Rikkiev A G 
Published: May 2020

Abstract
We propose a concept for reservoir computing on oscillators using the high-order synchronization effect. The reservoir output is presented in the form of oscillator synchronization metrics: fractional high-order synchronization value and synchronization efficiency, expressed as a percentage. Using two coupled relaxation oscillators built on VO2 switches, we created an oscillator reservoir that allows simulating the XOR operation. The reservoir can operate as with static input data (power currents, coupling forces), as with dynamic data in the form of spike sequences. Having a small number of oscillators and significant non-linearity, the reservoir expresses a wide range of dynamic states. The proposed computing concept can be implemented on oscillators of diverse nature.
Development of autonomous software solutions based on geometric cores to create digital assembly models of machine tools
Authors: Yurov A N , Chizhov M I , Vetokhin V V , Lavlinskiy V V 
Published: May 2020

Abstract
The article considers approaches and solutions aimed at improving the productivity of engineering departments, where CAD software solutions are actively used. In the manufacture of parts of machinery there is a need in the design of tooling. Elements of machine tools can be prepared and distributed in electronic libraries, which in an auto-mated mode will create a set of parametric models of the required tooling of machine equipment. The accuracy and quality of modelling will be achieved by eliminating the human factor from the design process. The development of such software solutions is implemented by means and components of the open geometric kernel Open Cascade, which has great potential in the field of modelling and scientific calculations.
Automatic generation of methodological materials in the study of technical and engineering texts in a foreign language
Authors: Bronov Sergej , Stepanova Elena 
Published: May 2020

Abstract
Masters, postgraduate students, engineers and scientists in Russia should study new areas of knowledge in a foreign language, for example, in English. But they have a double task arises: 1) learning English for a specific professional field; 2) studying the professional field using the acquired knowledge of the English language. The main requirement here is the minimum time for training. The purpose of the training process under consideration is to develop knowledge and skills for reading texts in a specific area of knowledge. At this stage the problem of active English language proficiency, i. e. writing your own articles or speaking is not considered. The student does not have the similar material in Russian. The material studied contains new concepts that are not known to the student. In standard university textbooks simple material is used that is already known to the student in Russian. Therefore, the student can understand the meaning of the content which significantly simplifies the learning process. But in this case the situation is different. Automation of training material’ design within the framework of the situation is carried out in two stages: the analysis of the studied materials and the synthesis of training materials. At this stage the existing software such as Microsoft Word and Excel together with Visual Basic for Application (VBA) can be used. The corresponding algorithms are applied for each operation. The automated development of training materials’ proposed technology for mastering a foreign language in a narrowly specialized field of knowledge enables to increase the effectiveness of subsequent training in a foreign language.
Self-configuring genetic programming algorithm for solving symbolic regression problems
Authors: Karaseva T S , Mitrofanov S A 
Published: May 2020

Abstract
In most cases, the only way to study and solve practical problems is to investigate them with the help of models. However, this method is also to be a complicated problem where a significant part of the effort is aimed at finding the functional dependencies between input and output variables. But a great number of methods of numerical identification solve problems by developing a model that, in fact, is a black box. The reduction different types of problems to the problem of symbolic regression allow us to overcome the lack of these methods. The algorithm of genetic programming is applied for solving the problems of symbolic regression. The given paper considers an algorithmic complex that includes a genetic algorithm and an algorithm for genetic programming for solving symbolic regression problems. The uniform crossover operator is applied for these methods; it ensures the flexibility of the algorithm due to the greater diversity of structures resulting from crossover. The opportunity for selection two or more parents for recombination is realized. To automate the selection of the algorithms parameters a self-configuring procedure at the population level is realized and the efficiency of its application is proved for test problems of symbolic regression. The practical implementation of algorithms for solving classification problems and differential equations is carried out.