bluuebunny/crossref_metadata_2025_split huggingface dataset:
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

AbstractIn 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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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.