bluuebunny/crossref_metadata_2025 huggingface dataset:
Research on emotion recognition based on ECG signal
Authors: Zhang Zhongze , Wang Xiaofeng , Li Pengfei , Chen Xi , Shao Liwei
Published: November 2020

In this paper, we mainly study the emotion recognition algorithm based on ECG signals, extract the correlation feature and time-frequency domain statistical feature of ECG signals, and introduce SVW, CART and KNN three classification algorithms commonly used in emotion recognition. By comparing the accuracy of emotion recognition in the application of three classification algorithms between the correlation features of ECG signals and traditional time-frequency domain features, we found that the use of correlation features of ECG signals can get a higher recognition rate, which is 16.7%∼19.7% higher than that of the traditional feature. In addition, among the three classification algorithms, KNN algorithm can get the highest emotion recognition accuracy. In order to further improve the accuracy of emotion recognition, Max-Min Ant System is combined with KNN classification algorithm in this paper to optimize the feature combination. The overall recognition rate reaches 92%, which is 16.9% higher than the accuracy of emotion recognition directly using KNN classification algorithm.
Maximum entropy multi-threshold image segmentation based on improved particle swarm optimization
Authors: Gong Qiyong , Zhao Xin , Bi Congyong , Chen Lei , Nie Xin , Wang Pengzhi , Zhan Jun , Li Qian , Gao Wei
Published: November 2020

To solve the problem of low speed and low precision of traditional maximum entropy image segmentation algorithm, a multi-threshold image segmentation algorithm based on improved particle swarm optimization algorithm is proposed. Taking the optimal threshold optimization problem in multi-threshold image segmentation as the research object, the optimal objective function is obtained by using the maximum entropy multi-threshold segmentation method, and then the maximum entropy method and particle swarm optimization algorithm are fused. In order to solve the problem that particle swarm optimization (PSO) is prone to fall into local optimization in the later iteration process, the PSO is improved and the expansion model is added. Finally, the maximum entropy multi-threshold image segmentation method based on the standard particle swarm optimization algorithm and the maximum entropy multi-threshold image segmentation method based on the improved particle swarm optimization algorithm segment the h-component image (hue, saturation, value) of HSV. Images are converted from images. The segmentation results of the two algorithms are evaluated by running time, and the structural similarity of the algorithms is evaluated. evaluation result. Experimental results show that the improved maximum entropy multi-threshold image segmentation algorithm based on particle swarm optimization can better achieve complex image segmentation, and the algorithm has stronger real-time performance.
Circle detection and location based on binocular stereo vision
Authors: Lin Jing , Li Wenxin , Xia Jiagao
Published: November 2020

In this paper, a binocular stereo vision system is developed for recognition and localization of a spherical object. The system uses two cameras to acquire images of object, shows and processes the images from two cameras simultaneously. It then applies point Hough transform to recognize the object and get real-time coordinates through the two images. Experiments with the proposed method yielded good results, as the system can detect and position a spherical object successfully.
Design and Realization of Intelligent Wheelchair Based on STM32
Authors: Qinghua Chen , Taihu Zuo , Yihong Xu , Hongyu Shan
Published: November 2020

In response to the market demand of people who need special care, a smart wheelchair based on STM32 is designed. Through the STM32F103ZET6 development board, it uses the smart car (simulated electric wheelchair) as the carrier with the attitude calculation algorithm, GPS positioning, Lora wireless communication, PWM speed control and distance detection, the gesture control of the movement and steering of the car, automatic obstacle avoidance, GPS Real-time transmission of positioning information, one-key call for help, and video recording of unexpected situations. The gesture recognition rate of the system is stable and the safety is high, and it can meet the requirements of wheelchair intelligence.
Anchor-Free Detector and Re-Identification with Joint Loss for Person Search
Authors: Liu Ming , Hu Laifeng , Wang Yaonong
Published: November 2020

Person search aims at matching a target person from a gallery of panorama images. Its performance depends on the localization accuracy and the recall rate of the pedestrian detector. FoveaBox detector which outperforms others is utilized in our framework. It generates high-quality region proposals for following re-identification (re-id). A joint loss function is proposed to train the network effectively. It is made up of on-the-fly Online Instance Matching (OIM) and proposal pair double margin contrastive (PPDMC) loss. We propose offset guided erasing instead of random erasing to solve the occlusion problem in person search task preferably. Experiments show that our method performs more effectively against the state-of-the-art methods on two widely used person search datasets.
Physical and chemical effects of ultrasonic cavitation on the grain of meat when lamb salting
Authors: Krasnikova E S , Morgunova N L , Krasnikov A V , Akchurin S V , Akchurina I V
Published: November 2020

The data of a study of the influence of ultrasonic lamb salting on the grain of meat raw materials are presented. It has been established, that at ultrasonic salting with a frequency of 35 kHz, structural damage and turgescence of muscle fibers, as well as local destruction of the sarcolemma with the pronounced rugosity are observed, besides the cross-striation is poorly expressed, and the tissue structure is disturbed. An ultrasonic lamb salting with a frequency of 26 kHz is attended by an increase in quantity of crevices and transverse microcracks, loosening up of muscle fibers, formation of cavities between them while maintaining muscle tissue structure, which facilitates the penetration of brine between and inside the muscle fibers. It allows us to recommend ultrasonic treatment at a frequency of 26 kHz for activation of the brine to intensify the technological process wet of lamb salting.
Ultrasonic coagulation of suspended particles in resonant gas gaps
Authors: Khmelev V N , Shalunov A V , Bochenkov A S , Nesterov V A , Neverov A A
Published: November 2020

The article describes a method for ultrasonic coagulation of suspended fine particles in the air gap between a flat radiator and reflector. Using the developed experimental stand, the efficiency of coagulation was investigated at various distances between the radiator and the reflector. During the experiments, the presence of a peak value in the dynamics of the coagulation process at a distance of 14 mm (which corresponds to 1 wavelength of ultrasonic oscillation in air at an operating frequency of 25 kHz) was revealed. It is shown that at this distance the maximum efficiency of ultrasonic coagulation is achieved, which is 95 %, and the level of sound pressure reaches its maximum equal to 132 dB.
Piezoelelectric Nanogenerators for energy harvesting at traffic lights
Authors: Bamatov Dzhabrail M , Bamatov Ibragim M , Daudov Ismail L
Published: November 2020

The existing traffic lights systems as it is, still have many problems which can directly expose to danger the health of civilians and can even endanger their lives. The aim of the work was to suggest a solution to these problems and to show what potential might hold the piezoelectric nanogenerator technology and piezoelectric nanogenerator road pads in particular that are being developed by the Collective Usage Centre for Scientific Research “Nanomaterials and Nanotechnology” of the Grozny State Oil Technical University after acad. M.D. Millionshchikov. In order to so a new piece of nanogenerator technology in the form of road pads was presented in the work. The mini generators are being designed to harvest the mechanical energy of the moving cars at traffic lights and convert it to the electrical power using piezoelectric nanogenerators. The research is still in its initial phase, but the results gained already show promising power output of 6kW per cubic metre of the piezoelectric nanogenerator area. The output power currently is not enough to create traffic lights system independent from the electrical public network, however the integration of the two power sources is considered possible.
Membrane system for regulating oxygen and carbon gas concentration indoors
Authors: Tishin A A , Gurkin V N , Trefilov E V
Published: November 2020

In the present work, a conditioning system was simulated based on membrane gas separation technology. The considered system is suitable for the simultaneous monitoring of the following indoor air parameters: oxygen concentration, carbon dioxide concentration. The membrane air conditioning system consists of two membrane modules, one to remove carbon dioxide from the room and the second to maintain the required oxygen level in the room. The effectiveness of using the membrane method for the removal of carbon dioxide formed in the process of human life is shown. It is shown that the use of membrane technologies as part of air conditioning systems helps to reduce the gas consumption necessary for normal human life.
An autoregressive parametric method applied to the autowave process modelling
Authors: Gorbunova T , Bazhenov R , Tumanova M , Alekseeva L , Korosteleva I
Published: November 2020

The authors of the paper research the topic of the autoregressive parametric spectral estimation method which is applied to oscillation (vibration). It is illustrated by the study of dynamically stable the combustion modes in a liquid-propellant engine. The scholars suppose a hypothesis that if a model parameter is selected correctly, the method offers a higher resolution. It does not require a dialogue-based weighted signal, and compensated parser/analyzer filter related to the accurate estimates of the oscillating system attributes. The survey proves that parametric spectral estimation amounts to solving an optimization problem with and seeking the autoregressive model value parameters of waveform shaping, in which the model would be as close as possible to the observed signal in reality. Based on the study, the authors design a digital model of the dynamic system that meets all the required properties.
Application of multiphase sequences with low sidelobe level in synthetic aperture radar
Authors: Leukhin A N , Voronin A A , Merzlyakov A S
Published: November 2020

The construction of signals with a low level of side lobes of the impulse autocorrelation function is of great importance in the development of radar systems, and especially of synthetic aperture radars, where a bright point target can overlap a part of the radar image due to insufficiently low sidelobe levels. This paper presents an algorithm for constructing multiphase sequences of long lengths with a low level of side lobes of the impulse autocorrelation function. Using the proposed algorithm for lengths 680, 1024, 2048, 2730, 4096, polyphase pulse sequences were synthesized with the lowest known sidelobe levels.
Calculation of the power requirement for soil cutting by rotary tool blade
Authors: Konstantinov Yu V , Akimov A P , Medvedev V I , Maksimov A N
Published: November 2020

The tilling specific energy requirement can be reduced by optimizing design and operating parameters of the rotary tillage tools of rotary tillage machines. The objective of this study was to develop a technique for calculation the power requirement for soil cutting by a blade of the previously proposed rotary tillage tool as function of the rotation angle and the parameters of the rotary tool. The power requirement dependence on this angle and on two dimensionless parameters, the relative depth and the kinematic parameter, was obtained and analyzed. It was shown that the instantaneous power requirement changes its magnitude periodically with the change of the rotation angle. The computational experiment has shown, that instantaneous and maximum dimensionless powers requiring for soil cutting by the blade monotonically increase with the increase of relative depth. In the range of variation of the kinematic parameter from 3 to 5, when the relative depth is doubled, the maximum instantaneous power requirement increases by 1.5-1.6 times, and when it is tripled, the maximum instantaneous power requirement increases by 1.9–2.3 times. The obtained formula can be used for optimizing the constructive and the functional parameters of the rotary tool. Due to the generality of the basic assumptions, the technique can be mainly transferred to other rotary tillage tools as well.
Analysis of factors affecting the capacity of LI-ION rechargeable batteries at low temperatures
Authors: Selivanov K V , Vlasov A I , Shakhnov V A
Published: November 2020

This work analyses the factors affecting the capacity of rechargeable chemical electrical power sources. Primarily, it is focused on the classification of these factors and the development of recommendations for increasing the capacity of batteries. We propose an original approach to the Li-ion rechargeable batteries operation, that is mandatory input control and several charge/discharge cycles before placing Li-ion accumulator battery into the operating device. We propose a method for periodic control of Li-ion accumulator batteries in particularly important devices and for the concept of predictive repair. The charge volume loss during operation of a Li-ion rechargeable battery at sub-zero temperatures was assessed quantitatively. The engineered method and the created device can be used when operating a Li-ion accumulator battery at sub-zero temperatures, in the far north, or in the case of increased reliability requirements for devices running on Li-ion rechargeable batteries. Further research will be aimed at the automated monitoring of the state of Li-ion accumulator battery, as well as the possibility of integrating this development into devices using Li-ion accumulator battery in advanced smart systems.
Multicriteria optimization of a meander line with broad-side coupling by genetic algorithms
Authors: Malygin K P , Nosov A V , Surovtsev R S , Gazizov T T , Sagiyeva I Y
Published: November 2020

Multicriteria quality functions for the dungerous pulse splitting into a sequence of pulses of smaller amplitude were formulated. The optimization was performed by simple genetic algorithm using these functions. As a result, 3 sets of optimal parameters providing the given criteria were obtained. Comparison of the results of the heuristic search and genetic algorithm showed their similarity. As a result of the genetic algorithm optimization in accordance with the formulated criteria, the attenuation (times) achieved 2.5 for the set of parameters one, 3.3 – for set two, and 3.42 – for set three.
Transient oscillatory processes at the balancing device operation of abrasive wheel grinder
Authors: Kashirskaya E N , Kholopov V A , Antonov S V , Pimenov A V
Published: November 2020

In conditions of the practice development of building new production facilities following the concept of Industry 4.0 and the intensification and complication of production processes, the need for a general reduction in costs arises. One of these problems is the lengthening the life of supports of abrasive wheel grinding machines based on the balancing process automation without stopping the machines for maintenance work. This paper proposes a method for numerical calculation of the motion path of the grinding wheel spindle axis during the balancing process. Based on the proposed method, a numerical calculation was carried out and the motion path of the grinding wheel centre was built. As a result of the work, a transient balancing oscillatory process of a damping mode was built. This process does not lead to the forcing of the system in the eigenmode range, which creates prospects for the introduction of this balancing method in the grinding process and reducing production costs.
Atomic layer deposition ZnO on porous Al2O3 nanofibers film
Authors: Voronin A S , Masiygin A N , Molokeev M S , Khartov S V
Published: November 2020

The paper presents the results of the formation and study of the morphological and structural characteristics of the mesoporous ZnO / Al2O3 nanofibers film (ZANF). The deposition of a ZnO layer on Al2O3 nanofibers film (ANF) ∼ 1 µm thick was carried out by the method of atomic layer deposition. The morphology of the mesoporous composite layer ZnO / Al2O3 (ZANF) has been studied by scanning and transmission electron microscopy. It is shown that in the process of atomic layer deposition, the ZnO layer grows according to the Stranski-Krastanov mechanism. A ZnO layer less than 5 nm thick gives an island structure in which Al2O3 nanofibers are uniformly coated with ZnO particles, an increase in the ZnO layer thickness to 15 nm demonstrates a continuous coating of Al2O3 nanofibers. The system has a core-shell structure. The resulting composite structures are promising for applications in photocatalysis and gas sensing.
Theoretical analysis of the data recovery time in the fault-tolerant disk arrays RAID-5 and RAID-6 with data striping
Authors: Rahman P A , Kviring M D , Bolnokin V E
Published: November 2020

This scientific paper deals with the fault-tolerant disk arrays RAID-5 and RAID-6 with data striping. The structure of the disk arrays RAID-5 and RAID-6 and mathematical model of the redundant data coding in these disk arrays, based on the arithmetic of the binary Galois field GF (28), are discussed. The obtained by the authors theoretical formulas for estimation of the data recovery time in the case of failure and replacement of single disk in the RAID-5 arrays, and data recovery time in the cases of failure and replacement of single and two disks in the RAID-6 arrays are also presented. Finally, the examples of theoretical estimation of the data recovery time in the RAID-5 and RAID-6 arrays are also discussed.
A method for calculation of the reliability indices of the restorable technical systems with independent elements and arbitrary reliability structure
Authors: Rahman P A , Shulaev N S , Bolnokin V E
Published: November 2020

This scientific paper deals with analysis of the reliability indices of the technical systems, which consist of a set of different and independent restorable elements with the given failure rates, repair rates and reliability structure. An offered by the authors combinatorial method for calculation of the reliability indices of restorable technical systems with arbitrary reliability structure is discussed. The obtained by the authors formulas for calculation of the stationary availability factor, mean time to failure and mean time to repair are also presented. Finally, an example of calculation of the reliability indices for the technical system with the bridge reliability structure is also given.
Strategy for primary processing of social networks data using hierarchy analysis method
Authors: Chengar O V , Shevchenko V I , Maschenko E N , Moiseev D V , Soina A S
Published: November 2020

This paper proposes a strategy that allows a researcher to choose the most effective method of data analysis according to a given set of criteria. The strategy is based on the Analytic Hierarchy Process, which is a system procedure for hierarchical representation of elements that determine the essence of the problem. An example of applying the strategy using four quality criteria and six cluster analysis methods as research alternatives is given.
The management of the radio-electronic instrumentation corporate entities in Russia
Authors: Vereschagina L , Popova L , Krupoderova M , Makhmetova A , Kravets O Ja
Published: November 2020

The article observes the issues of the knowledge-intensive corporate entities’ management. The lack of the unified approach to the mechanism of the corporate entities’ management in high tech manufacturing industries, the insufficiency in the methodology of the diagnostics mechanism of the management of the corporate entities of the radio-electronic instrumentation industry, the deficiency in the models of the improvement of the integration processes are the main challenges for scientists and practices in this field of research. The theoretical and empirical research of the corporate entities’ management has been conducted by using the process and system approaches, statistical analysis and questionnaires. The economic nature of the categories “knowledge-intensive corporate entities” and “corporate entities’ management” is clarified, the stages of development of the corporate entities’ management in Russia, the domestic model features of corporate management and its features are defined. The object of the empirical research is industrial corporate entities of the radio-electronic instrumentation industry. The developed method of analysis of the high-tech corporate entities management mechanism has been contributed to strengths and weaknesses identification and highlighting of the main directions of the knowledge-intensive corporate entities’ management development. The classification of methods and tools of corporate management, the development of approaches and principles of the diagnostics radio-electronic instrumentation industry are the core theoretical value of this research. The practical usage possibilities of the mechanism of the corporate entities’ management in high tech manufacturing industries have been demonstrated by authors.
Bayesian network for predicting the level of crops weediness with wild oat
Authors: Kalichkin V K , Maksimovich K Yu , Galimov R R
Published: November 2020

The authors propose an approach for predicting the level of crops weediness with wild oats (Avena fatua L.), based on the implementation of Bayesian Belief Network. This approach is applicable for solving the problem of estimated growth and development probability of wild oat based on taking into account the prevailing conditions on a specific land plot in the current year, depending on the predecessor’s cultivation technology and weed seed stock. In the course of the work, the authors carried out a selection of factors affecting the level of wild oats weediness, they also identified the need to minimize the number of input parameters to achieve acceptable prediction accuracy. The proposed model allows calculating the probability of exceeding the economic threshold of harmfulness of wild oat in cultivated plants crops. The advantage of this approach and its versatility lies in the ability of Bayesian Belief Network to “discourse” with incomplete information and in the ability to include new information in the analysis.
Economic mechanism for decomposition of results of scientific and technical activities
Authors: Tsybulevsky S E
Published: November 2020

In the modern conditions of global competition, when the implementation of financial and economic activities by industrial enterprises of real sectors of the economy is impossible without possessing unique key competencies that give undeniable advantages over competitors, not only new forms of doing business lead, which undoubtedly appeared during the general global coronavirus pandemic, COVID-19, when most enterprises were forced to switch to a remote mode of work of labor collectives, and consumption has largely shifted to the e-commerce format, but also the ability to optimize work with the existing resource base, which can be fully attributed to obtained results of scientific and technical activities (RSTA), which are inherently unique and limited resource for external participants in business processes. This paper is aimed at researching project management tools that allow the management of high-tech companies that create and work with RSTA to discover new opportunities provided by a new project management tool: economic mechanism of RSTA decomposition. The article examines modern management methods based on the available resource potential. The methodological aspects of the research are based on solving the multi-criteria problem of project management, covering the practical area of research activities carried out by high-tech companies.
A control of a digital copy of an enterprise by a targets classifier as a task of control a dynamic system
Authors: Masaev S N , Musiyachenko E V , Khrulkevich A L , Salal Y K
Published: November 2020

The area of research includes control theory, dynamic systems, parameters of the external environment, mode, integral indicators, goal. A review of scientific works shows the absence of digital copies of economic objects. The main idea of the research is to show the activity of an economic object (enterprise) as a digital copy. The digital copy of the economic object (enterprise) in the research is formalized. The target function of control the digital copy of the enterprise is set. Evaluation of the operating mode of a digital copy of an enterprise using 1.2 million parameters by an integral indicator method. Evaluation of the operating mode of a digital copy with an embedded target classifier. Both modes of operation depend on the control decisions taken, taking into account the influence of unpredictable signals from the external environment.
Assessment various control methods a digital copy of enterprise by integral indicator
Authors: Masaev S N
Published: November 2020

The difficulty of assessing the state lies in a little predictable change in the dimension of a dynamic system under the influence of internal changes and environmental parameters. In the work, the state of such a system is estimated by the method of integral indicators. The application of the method of integral indicators allowed us to evaluate the activity of an enterprise. In the present work, the method of integrated indicators is used to assess the control of a digital copy (enterprise). Using the author’s complex of programs, the activity of an enterprise (digital copy) is modeled as a dynamic non-stationary, in structure, system of 1.2 million values with spaces identified at each time step: output data, control data, and environmental parameters. The research showed significant changes in the values of the integral indicator characterizing the state of a dynamic system when implementing different regimes of control for a woodworking enterprise and a construction company. In the first and second examples, an underestimation of the invisible material flows of production processes of “shadow” businesses-processes were found to be 4.5 billion rubles per year. In the third example, the loss of the enterprise from stop businesses-processes for 4 years will amount to 188.8 million rubles.
Optimization-simulation approach to the computational resource allocation in a mechanical engineering enterprise
Authors: Uchaikin R A , Orlov S P
Published: November 2020

The complexity of modern engineering production requires the use of computer technology in design and technological processes. The problem is the need to efficiently distribute computers and software between departments in the enterprise. The article proposes an optimization-simulation approach to solving the problem of computer equipment allocation. It consists in an iterative procedure for solving an optimization problem and verifying the obtained solutions on simulation models. A discrete optimization problem with Boolean variables for assigning computers to tasks in departments is formulated. It is proposed to carry out a simulation model in the form of a timed Petri net. A graphical model of computer equipment repair and maintenance in the process of performing tasks is presented. A basic elementary timed Petri net is constructed, which is used to build a general simulation model. The properties of the basic simulation model are considered.
NPP refueling process monitoring based on the refueling machine current signals
Authors: Abidova E A , Dembitsky A E , Zarochintseva I V , Lapkis A A , Chernov A V
Published: November 2020

The paper is aimed at safety improvement of nuclear power plants by monitoring the refueling process carried out by the fuel-handling machine. The article confirms the necessity to develop a monitoring system that prevents failures during refueling operations. It is shown that the development of the monitoring system should be preceded by the stage of monitoring the object current parameters in the process of multiple operations with fuel and absorbing rods. The schemes of diagnostic signals registration and approaches to their analysis are presented. The paper presents results of the current signals analysis of the main hoist drive of the refueling machine at Rostov NPP. The development of refueling operation portraits based on current parameters is demonstrated. The principal component method is applied to them for the purpose of clustering. The paper shows the possibility to control the refueling machine efforts when extracting fuel by presenting diagnostic signals from the main hoist drive in the principal component space. In general, the paper substantiates the prospects of developing a refueling monitoring system through current consumed by the main hoist drive of the refueling machine
Multilevel procedure for decomposition and mapping graphs
Authors: Starostin N V , Bykova M A , Nebaikin S V
Published: November 2020

The paper analyzes the actual problem of architecture-dependent decomposition, allowing efficient planning of running a parallel task in a multiprocessor computer network. The procedure of planning means decomposition of a parallel task in a required number of processors accounting for balance restrictions and mapping of obtained portions to processors in order to minimize interprocessor communication costs. This procedure allows to reduce parallel program execution time and consequently expensive hardware usage time. The paper provides general mathematical formulation of this problem, and special cases are considered. Multilevel algorithms are suggested for a special and a general case of the problem. Results of experiments in well-known benchmarks as compared to renowned software METIS and SCOTCH.
Formalization of the task of monitoring the technological safety of industrial facilities in conditions of indistinctness of the initial information
Authors: Siddikov I X , Mamasodikova N Yu , Khalilov M A , Amonov A K , Sherboboyeva G B
Published: November 2020

The article deals with the issues of fuzzy modeling and situational analysis of the technological safety of petrochemical complexes and decision-making on their management in conditions of uncertainty and fuzzy initial information based on the theory of fuzzy sets and fuzzy logic. A formal model for describing fuzzy situations in the form of a fuzzy set and making rational decisions in various emergency situations based on the criterion of the degree of fuzzy inclusion and the degree of fuzzy equality with the involvement of the method of situational inference is proposed.
Organization of automobile traffic using Internet of Everything technology
Authors: Gurjanov A V , Zakoldaev D A , Kostishin M O , Zharinov I O
Published: November 2020

The automobile traffic in the modern conditions is a high human risk source. The road infrastructure and car informative and measuring system Internet of Everything technology application increases significantly the road condition participants safety. The road infrastructure main components (traffic lights, road signs and other) are equipped with reception transmitters supporting the Internet of Everything so that why the car constantly receives the road situation actual information while on the move. The Internet of Everything technology creates the smart city intellectual space, which unites all road traffic participants into a single information field. The Internet of Everything and information transmission wireless channels speed characteristics may support the road traffic intensive pace. There is a functional scheme of a driverless car control system including the informative and measuring system necessary components which data is processed with the car board computers. In some road situation examples the urban conditions driverless road traffic organization principle is described engaging the Internet of Everything information transmission channel. There is a general driverless car traffic algorithm evaluating in real time the smart city conditions road situation.
Development of the information system for HIV progression modeling in inmates
Authors: Ponomarev D S , Ponomarev S B , Gorohov M M , Averyanova E L , Polishchuk V E
Published: November 2020

The study presents the stages of developing a HIV prognosis model in inmates. Correlation data analysis and regression modeling were used to develop the model. It was estimated that the developed model gives the best results for patients under the age of 40 years. On the obtained results there were developed an information system and a computer program. The study results application will help to predict correctly the HIV severity and to take timely treatment measures.
Development of an automated house climate management system based on industrial controller
Authors: Popov A A , Ovsyankin A K , Koinov A E , Gorshkov E V , Filipkina T N
Published: November 2020

The task of increasing the safety, efficiency and environmental friendliness of the heating system is being solved, as well as improving the conditions for a person’s permanent stay in the building. Building automation is the automatic, centralized control of heating, ventilation and air conditioning, lighting, access control, security systems, and other interconnected systems through a building management system or building automation system. This direction is especially relevant in industrial zones with poor ecology. In addition, in connection with the constant anthropogenic activity of man, high-amplitude temperature drops occur more and more often in periods unusual for them, and therefore it becomes more and more difficult to timely respond to such changes. Automation of the microclimate control process frees a person from the need to directly control mechanisms, which in turn saves him time and resources. The role of a person is reduced to setting the necessary parameters and providing the system with consumables. The purpose of this work is to create an automated climate control system, using and modernizing existing controls, based on an industrial controller.
Two realizations of the pattern informativity idea for the method of data logical analysis
Authors: Kuzmich R I , Mashinets E E , Povazhnyuk I , Stupina A A
Published: November 2020

Two realizations of the idea underlying the concept of “pattern informativity” are proposed. The mechanism for implementing the idea consists in the formation of optimization models to obtain patterns. A comparison is made in terms of accuracy for practical problems of classifiers composed of rules obtained on the basis of the proposed optimization models.
Structure of software package for bioenergy assessment of agricultural production
Authors: Abaluev R N , Kartechina N V , Bobrovich L V , Kartechina O S , Chirkin S O , Shatsky V A
Published: November 2020

Rational use of energy resources determines the efficiency of a modern agricultural enterprise. Growth of energy gap sets fixed boundaries on the use of energy-intensive forms of production and puts forward the requirements for revising the existing system for assessing the use of technologies in the agro-industrial complex. The relevance of the transition to resource-saving technologies in the current economic situation is due to the fact that, firstly, any processes in the production sector are associated with energy consumption, and secondly, energy resources are scarce today and determine the limits of economic development. In this regard, energy conservation and energy efficiency should be considered as one of the main ways of economic growth. The structure of a software package that automates the calculation of bioenergy assessment of agricultural production technologies is discussed in this article. This software product can be used in the professional activities of an agronomist, agroecologist, scientists, as well as in the process of educational activities by teachers and students.
Assessment of factors hindering innovative development
Authors: Kurbonzoda M R , Gibadullin A A , Morkovkin D E , Nesterenko J N
Published: November 2020

The article is devoted to the assessment of the factors hindering innovative development. As part of the study, it was revealed that the identification and assessment of factors is a necessary task for enterprises, including in such a direction as innovative development. In the study, the factors influencing innovative development were divided into three groups - these are external, internal and other factors. The analysis of these factors allowed the authors of the study to identify the points of their occurrence and, as a consequence, their neutralization. The paper presented a survey of enterprise managers, reflecting the rating of factors affecting innovative development, which indicates the variety of importance of each factor affecting the innovative development of an enterprise. At the end of the study, an algorithm was proposed that contains a systematic plan of action to identify, assess, manage or neutralize factors.
Situation management model of technological process in resources distribution conditions
Authors: Danilov A D , Gusev P Yu , Gorbunov V G , Sobenina O V , Voronov S A
Published: November 2020

The paper suggests an organization model, an algorithm and the definition of the plant process management task. The functioning features and conditions are based on the example of straight-line flow method of work performance. Rules and diagrams of elements’ adjoined interactions, which allow allocating the resources for management efficiency improvement, are described in the paper. In addition, local criteria for organizational-economical evaluation of an emergency are suggested. Incidence matrix allowing the identification of an emergency and making an immediate decision of losses’ compensation, which occurred during the process termination, is defined.
Formation of primary radiation defects in a non-equilibrium silicon structure by electron irradiation
Authors: Bogatov N , Grigoryan L , Klenevsky A , Kovalenko M , Nesterenko I
Published: November 2020

Based on numerical simulation, the influence of the position in the band gap of the Fermi quasilevel of electrons on the dependence of the linear generation rate of interstitial silicon, vacancies, divacancies, and disordering regions in silicon irradiated with electrons is analyzed. From the obtained results it follows that, if the quasi-Fermi level of electrons is located in the upper quarter of the band gap and approaches the bottom of the conduction band, then the linear rate of generation of primary radiation defects created by electrons decreases. Consequently, under nonequilibrium conditions caused by a high level of illumination or the passage of an electric current through the n
+-p junction in the forward electric bias mode, as well as in the n+-region of silicon, it is possible to differentially vary the concentration of radiation defects when exposed to electrons. The results obtained can find application in the development of new methods for modifying the properties of semiconductor structures.
Content adaptation neural network method cause-specific the state of users
Authors: Khlivnenko L V , Pyatakovich F A , Yakunchenko T I
Published: November 2020

The aim of the study is to develop recommendations for adapting educational content based on the use of a neural network method for recognizing the human autonomic nervous system degree of activity. The initial data for decision making are the vectors of cardiointervals obtained with the help of the pulse sensor. The state of the autonomic nervous system is monitored by a two-layer artificial neural network of direct propagation. The artificial neural network was trained by combining gradient and stochastic training methods. A trial sample was used as a training set, consisting of 168 records of people’s cardiointervals belonging to different social and age groups. The presented method for recognizing the autonomic nervous system activity degree was tested via the shared programming support environment Lazarus. As a result of network training, a set of weighting coefficient values was found, for which 100% correct recognition is performed over the entire trial sample. A personalized training system that monitors the functional state of the student varies the presentation of educational content. When the functional state changes during the training load, the virtual agent organizes the training process so as to avoid stress load.
Graphic search model for analyzing search solution of task by specialists
Authors: Sirotinin A A , Dorrer G A
Published: November 2020

The article describes the concept of creating an assistant system that allows to use patterns of behavior. The information pattern of actions is dynamic and changing each time of selected computing period with the manifestation of multiple signs of similarity of new received information with the existing. The advantage of the method used is an optimization mechanism that uses human capabilities to recognize and extract valuable information from the overall received stream by analyzing only the areas on which the user’s gaze is focused. Thus, the analysis of really important information is carried out, greatly simplifying the work of recognition algorithms. By the nature of the movement and the amount of time the gaze is focused on the object, it is relatively easy to determine whether the information is important for the user, whether the same or similar information has been encountered before, whether it has been read, as well as its characteristics, which are complexity and completeness. The secondary level of information processing is the construction an associative table what’s allowing to obtain a compressed volume of information interacting directly with user of system by associative dependences of consciousness and his reaction to external familiar stimulus.
Transposons in chloroplast genomes are distributed inhomogeneously among gymnosperms and angiosperms
Authors: Mutovina O A , Sadovsky M G
Published: November 2020

An occurrence and specificity of transposons in chloroplast genomes is considered. It is shown that the transposons are met in some genomes, and are nor in others. Rather decreased number of copies is peculiar for transposons found in chloroplast genomes, as well as the prevalence in their location (leading strand). Unique transposon Copia-18_BD-I is found in gymnosperms.
Development and use of aerospace technologies to ensure information connectivity of the territory of the Russian Federation
Authors: Vladimirova V G , Shemyakov A O , Oleinik A V , Konysheva V Yu
Published: November 2020

To resolve the problem of the connectedness of the territory of the Russian Federation we need the implementation of scientific and technological solutions, for the development and implementation of which we form complex scientific and technical programs and complex projects of the full innovation cycle. To effectively solve the problems of spatial development of the regions of the Russian Federation, it is necessary to introduce new technologies to ensure energy, transport, information and socio-cultural connectivity of sparsely populated and hard-to-reach territories. Information connectivity of the territory can be ensured through the creation and use of information and analytical systems for remote monitoring of objects and resources on the territory of the state.
The architecture of a software platform for growing spiking neural networks simulator developing
Authors: Bakhshiev A V , Fomin I S , Gundelakh F V , Demcheva A A , Korsakov A M
Published: November 2020

The paper compares spike neural network simulators. It is shown that the existing simulation software are not adapted to describe growing neural networks with irregular connection topology. This problem is relevant for cases when the neuron model is not point-like but describes a dendritic tree. The architecture of a new software environment for modeling growing networks based on compartment models of neurons is proposed. The comparation of the characteristics of the developed simulator with existing solutions is shown.
Diagnostics of Parkinson’s disease by positron-emission tomography with 18F-DOPA: new approach based on smart clustering
Authors: Tutsenko K O , Horoshavina A A , Abramov V A , Karlova E A , Sadovsky M G
Published: November 2020

PET investigation of human brain for the purposes of the effective diagnostics of some neurodegenerative diseases requires the definition of the normal indices. Here we present the figures to be used as the reference values of the necessary indices to be used in medical investigations.
Digital platform for an adaptive lifecycle management system for construction objects
Authors: Morozenko A A , Zyablov A A , Kheruvimov I A
Published: November 2020

The article presents studies aimed at the formation of an adaptive management system based on the information approach and digitalization of management processes. A conceptual dynamic model of an adaptive control system for large-scale and technically complex construction objects, consisting of two control loops with a description of their functional purpose, is proposed. The material proposes a programming technique based on the schedule of key project events, which is the basis for building a reference model for project implementation. In turn, the reference model is the main element of the adaptive control loop, represented by transition operators written in a matrix form convenient for machine use. Based on the resource approach for the effective development of control actions, it is proposed to distinguish three levels of management decisions: operational, tactical and strategic. The interfaces and services of the adaptive control system are systematized and classified, as a description of its digital profile. The study presents the results of the practical implementation of the proposed approaches by the author’s software package, which is the basis for the formation of an adaptive control system.
Clustering of participants in the MaxBonus loyalty system using Kohonen’s self-organizing maps
Authors: Dorrer M G , Fomin A V , Loginov D A
Published: November 2020

The purpose of this article is to investigate customer clustering based on big data of the consumer loyalty system. The object of the research is the retail chains that are the clients of the Maxbonus system. Self-organizing Kohonen maps, implemented by the selforgmap function of the Deep Learning Toolbox module of the Matlab system, were used as a clustering tool. As a result of clustering 990 customers, classes invariant to the partition were identified, and it was shown that their number stabilizes with an increase in the number of classes in the Kohonen self-organizing map. The average indicators of representatives of each class have been determined. This result indicates the efficiency of the approach for clustering customers of customer loyalty systems. The prospect of the work is to include in the number of input parameters clustering the volume of purchases by product categories. Also promising is the transition to clustering retail chains participating in the Maxbonus system.