bluuebunny/crossref_metadata_2025 huggingface dataset:
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

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

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

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

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

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

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

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

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

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

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

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.
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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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.
Evaluation of the effectiveness of using artificial intelligence to predict the response of the human body to cardiovascular diseases
Authors: Golovenkin S E , Dorrer M G , Nikulina S Yu , Orlova Yu V , Pelipeckaya E Yu
Published: November 2020

This article discusses the issue of assessing the quality of predicting the dynamics of the human body in conditions of cardiovascular disease using intelligent software systems. To improve the forecast accuracy, the voting method of 3 competing systems was used, as well as the elimination of sparse data columns. Assessment of the quality of the prognosis of complications of cardiovascular diseases is carried out in terms of the accuracy and specificity of the diagnosis. The constructed system for 10 predicted diagnoses out of 12 showed a prediction accuracy of more than 90% with a specificity of more than 85%. This result shows a fairly high predictive ability of the created system when solving the problem of predicting the reaction of the human body to the onset of cardiovascular diseases (for example, complications of myocardial infarction).
CBC effectively stratifies the patients with different types of malignant tumors
Authors: Sadovsky M G , Feller A A , Martynova E A , Chernyaev D V , Semenov E V , Slepov E V , Zukov R A
Published: November 2020

Early prediction of tumor process especially related to the detection of oncological diseases at early stage is a hot problem. We compared the complete blood count data for patients with various types of tumors; the patients with tumors of the hematopoietic system were excluded from the study. We used both linear (K-means) and non-linear (elastic maps) methods. No informative patterns have been found through the implementation of classic linear statistics methods. On the contrary, the elastic maps technique revealed the specific groups among the patients. Neither relation to the gender, nor age of patients has been found. However, the abundance of basophils, eosinophils, leukocytes and immunoglobulins exhibit specific pattern of the clusters occupancy. Thus, in our study we found that patients are stratified in accordance with quantitative changes in laboratory blood parameters, which is associated with the body’s response to stress caused by a malignant tumor.
Comparison of the YOLOv3 and Mask R-CNN architectures’ efficiency in the smart refrigerator’s computer vision
Authors: Dorrer M G , Tolmacheva A E
Published: November 2020

The article deals with the computer vision system of the smart refrigerator “Robimarket”. The equipment of the working area of the refrigerator, the selection of a set of chambers, the collection of a training sample for the computer vision system are described. The choice of the artificial intelligence architecture of the computer vision system was made by comparative testing of the YOLOv3 and Mask R-CNN architectures. The comparison was made on one hardware platform, one training set and a set of test cases. As a result, a comparison table was created for the speed and quality values of each model. As a result, the Mask-RCNN architecture was chosen, which showed a significantly higher detection accuracy in the video stream with acceptable performance for this task.
On some forms of registration and display of modes of operation of vehicles
Authors: Kolesnikov I M , Malchikov S V , Blyankinshtein I M
Published: November 2020

The article discusses the shortcomings of existing methods of accounting for engine operating time for the purpose of forming standards and modes of maintenance and repair. The results of testing a vehicle using specialized tools, including an adapter to the OBD diagnostic connector and a smartphone with special software, which allows registering, storing and accumulating data on the speed and load modes of the engine and the car, are presented. According to the test results, the drawbacks of registering the parameters of speed and load modes are analyzed by traditional characteristics in the form of mathematical expectation and variance of random variables. Methods of formalized display of the character of parameter changes in time are considered using autocorrelation functions and matrices of transition probabilities. The results of testing the analysis of the nature of changes in operating parameters in urban and mainline operating conditions are presented.
Physical methods in innovative technological solutions of beet refuse processing
Authors: Perfilova Olga V , Babushkin Vadim A , Blinnikova Olga M , Bryksina Kristina V
Published: November 2020

Currently, the mechanisms of influence of microwave and infrared energy on the nutritional value of raw materials and food products are not fully understood. At the same time, the main task of the food industry is the maximum possible preservation of the healthy properties of raw materials during its processing, including using of physical methods. The authors investigated the possibility of using microwave and infrared heating in the production of dried beet refuse. The optimal parameters of microwave processing of beet refuse were established, at which the maximum increasing of the total antioxidants content is observed: electric power - 800 W, time - 160 sec, specific work - 640 W / g · sec, heating temperature of refuse - 92 ° C. The intensification of the process of beet refuse infrared drying with the lowest loss of antioxidants is provided at a temperature of 60-65°C and a drying time of 3 hours 25 minutes.
Engineering of constructive parameters of vibroaspiration separator of oil-containing grain seeds
Authors: Rogovskii I L , Palamarchuk I P , Voinash S A , Troyanovskaya I P , Butenko A F , Sokolova V A
Published: November 2020

At designing of a vibroaspiration separator on the carried out researches, the working hypothesis, concerning increase in a driving force of process of fractionation at the expense of imposing in system of the combined unbalance from action of compulsive forces and torque which are resulted in system at realization of a self-oscillation mode of movement of the central pipe of the distributor has been offered. During theoretical and experimental studies was proved the possibility to improve the quality of separation by using the lower distribution zone of the vibroaspiration separator. Increasing the speed of seed particles under the influence of centrifugal forces, Coriolis acceleration and self-oscillating motion in the process of seed separation can increase the value of trajectory changes by 25-30 %, and thus improve the quality of seed separation by 10-15 %. The results of experimental studies of created vibroaspiration separator of sunflower seeds allowed to substantiate the following rational parameters of this process: the diameter of the distributor hopper must be within 50-60 mm; the diameter of the branch pipe, that supplies seed into the vertical aspiration channel is 30-40 mm at useful channel length of 0.8 m; air flow speed, for the best separation of sunflower seeds is 75-90 % of the critical air flow rate and is 4.5-5.5 m/s. To achieve effective inertial forces and to ensure the clarity of the separation of fractions in the conditions of self-oscillating mode of movement of the central pipe of the distributor, it is rational to mount 20 sailing elements.
Features of ultrasonic non-destructive testing models of rectangular anisotropic elastic waveguides with a membrane coating
Authors: Storozhev S V , Bolnokin V E , Vyskub V G , Hai Duong Minh , Mutin D I
Published: November 2020

A numerical-analytical fuzzy-set method for synthesizing estimates of the influence of uncertainty factors in the form of scatter of the initial physical-mechanical and geometric parameters of a long waveguide of prismatic geometry from anisotropic single-crystal material of a cubic system on the phase velocities of traveling normal elastic waves for applying in ultrasonic nondestructive evaluation are presented. Waveguide has absolutely flexible inextensible thin coatings of a faces. The technique is based on the description of parameters with scatter errors in the form of fuzzy-intervals quantities and on the transition to fuzzy-set arguments in the analytical representations of wave numbers for various branches of the dispersion spectrum. The alpha-level form of the heuristic generalization principle is used. Examples of a fuzzy-set description of a series of frequency distributions characteristics of phase velocities of traveling normal waves for a waveguide from a silicon single crystal are given.
RETRACTED: Investigation of composite materials supported by carbon fiber fabric (TFC) in pre-cracked concrete beams
Authors: Karnoub Amer , Huang Hajian , Antypas I R
Published: November 2020

This work is a commitment to breaking down the conduct of pillars that strengthened by composite materials. The investigation was helped out through an exploratory and logical examination on eleven strengthened concrete and fortified solid components underneath and decently strengthened, pre-split and afterward strengthened utilizing nearby carbon-fiber texture utilizing epoxy pitches. So as to consider the impact of the underlying splitting condition on the conduct, one of the bars was strengthened without being broken ahead of time and contrasted with a pre-broken and fortified bundle and afterward to another stacked in any event, when broken without breaking or hardening. In this examination, four beams were pre-broken and reinforced in the all-inclusive part and as an afterthought part with U-formed pieces of various measurements to keep away from division on one side and the investigation of rebuilding of the compound at the impact of shear then again. At long last, a similar report was directed between the last estimated exploratory obstruction and that registered by expository models.
Method and means of cavitation erosion tests under abnormal conditions
Authors: Khmelev V N , Barsukov R V , Golykh R N , Abramenko D S , Genne D V , Tertishnikov P P
Published: November 2020

The monitoring method for erosion resistance of metals and protective coatings under cavitation exposure in abnormal operating conditions is proposed. This method extends the scope of the standard ASTM G32-10 Standard Test Method for Cavitation Erosion Using Vibratory Apparatus. The specialized ultrasonic device has been developed for the study of cavitation destruction of materials and coatings at high pressures, temperatures up to 1000 °C and in liquid media with various properties (including aggressive ones) for implementing the monitoring method. The control system based on continuous monitoring of electric parameters of piezoelectric vibratory system was used to providing the necessary vibration amplitude in the process of cavitation under all changes of liquids parameters. The control system (based on changes monitoring of liquid active resistance) was used for equal efficiency of cavitation process on the surface. Practical recommendations for testing of cavitation erosion of metals and protective coatings in abnormal conditions are given.
Non-parametric algorithms of identification and control of group of technological processes in low-carbon steel production
Authors: Kornet M E , Raskina A V , Korneeva A A , Videnin S A , Masich I S
Published: November 2020

This paper focuses on the design of a two-circuit scheme of a centralized control system for a group of technological processes in low-carbon steel production. The main feature of the proposed scheme is the presence of an external control loop with a centralized control unit, which is a set of software and algorithmic support. The functioning of control unit is to calculating of reference commands for local control loops in order to implement coordinated control of the system as a whole. For the development of algorithmic support, nonparametric identification and control algorithms were selected. The results of computational experiments presented in the work demonstrate the high efficiency of the proposed scheme.
Diagnostics of automobile starters by the parameter of current consumption
Authors: Puzakov A V , Dryuchin D A , Voinash S A , Ariko S Ye , Kamenchukov A V , Ukraimsky I S
Published: November 2020

The urgency of the problem of diagnosing automobile starters is caused by the high complexity of existing diagnostic methods that require removing the starter from the engine. The occurrence and development of malfunctions of starters are caused by a change in the current consumed at the time of starting the internal combustion engine. The value of the starter current consumption was experimentally determined using current-measuring pliers for a group of vehicles with different mileage. It has been established that the current consumed by workable starters decreases monotonically with an increase in operating time, not reaching the maximum permissible value determined by the method of tolerance boundaries. The current consumption of starters with malfunctions is much less than the allowable value, allowing you to use this parameter to determine the technical condition. To assess the service life of automotive starters, the degree of working capacity was used, due to the difference between the current and limit values of the diagnostic parameter. The practical significance of the research is to determine the residual life of automobile starters. Further research will be aimed at establishing the dependence of the current consumption on the ambient temperature and forming recommendations for diagnosing automotive starters.