bluuebunny/crossref_metadata_2025_split huggingface dataset:
Study on Crack Propagation Characteristics of Pitch Bearing Based on Sub-model
Authors: Zhao Qiang , Du Jing , Huang Zong Ping 
Published: November 2020

Abstract
The pitch bearing is one of the key components of the wind turbine. The complex stress state, manufacturing process and harsh environment can all produce cracks that will lead to the final failure of the pitch bearing. Since there are few papers on cracked pitch bearings, the paper uses ANSYS and Franc3D co-simulation, and innovatively proposes a sub-model method to study the stress intensity factor and crack growth characteristics of the bolt hole defects of pitch bearings. From two aspects of crack length-depth ratio c/a and its propagation, the distribution of the stress intensity factor at the crack tip is explored. It is found that as the length-to-depth ratio c/a increases, the crack propagation trend gradually changes from extending along the crack length to the crack depth direction; as the crack propagation length increases, the intensity factor at the end of the crack surface is greater than that at the tip of the crack depth. The intensity factor indicates that when the crack expands to a certain size, the trend of crack growth along the surface is greater than the trend along the depth direction, and the propagation path is similar to the actual crack propagation path, which verifies the accuracy of the numerical simulation.
A Method Based on Functional Reconstruction of Product Innovation Design
Authors: Xi-qiang Yan , Yi-sheng Yang , Zong-zheng Liu 
Published: November 2020

Abstract
The purpose of product innovation design is functional innovative, and the functional reconstructed could be able to change the combination between product functions. First the product functional activities is used for functional modeling, then the model is checked with principles of functional modeling, After reduced functionality of the checked functional modeling under reduction rules, the function is expanded with expansion principles, Finally the new functional model is optimized with functional constraint, in order to build new products functional model and get product innovative solutions.
A teaching assistant system for big data analysis
Authors: Liu Pengfei , Chen Peidan , Yuan Yunling , Zhang Weifeng , He Xiaxu 
Published: November 2020

Abstract
With the rapid development of big data analysis, cloud computing and mobile computing, the demand of teaching auxiliary processing and students’ online learning in colleges and universities depends more and more on information system. According to the latest view of pedagogy, teaching evaluation is gradually turning to the "accompanying" education which is data-based and tracking the whole teaching process. In order to improve the current situation that the function of single teaching assistant system is limited, the information island caused by the expansion of multiple teaching auxiliary systems, and the situation that process data is not paid attention to, this research develops a complete educational administration and teaching auxiliary system, so as to promote the collection, processing and analysis of more, more detailed and higher frequency teaching real-time data.
Estimate method research at working life of wireless sensor network nodes
Authors: Chen D. M. , Dai X. N. , Tang Z. B. 
Published: November 2020

Abstract
Process deep research at disposable lithium sulfite chloride battery discharge characteristics and current-voltage characteristics when wireless sensor panel point working. Test the voltage-current time domain signal during the disposable lithium sulfite chloride battery discharge process and wireless sensor panel point working process through high precision power consume test instrument. Research and design one calculate method of wireless sensor panel point power consume. Build the estimate model for wireless sensor used battery power. Develop the wireless sensor network battery working life estimate and early warning method which based on the power consume calculate method of wireless sensor and wireless sensor used battery power estimate model, make users able to real time and accurately grasp all wireless sensor network panel point’s working life through this method, at the same time, can real time monitored whether battery of wireless sensor network panel points or the relate electric circuit of power supply exist problems, do well at wireless sensor panel point running and maintain works in advance. Finally, use high precision instrument process test and verify pulse voltage characteristics at wireless sensor panel point actual work which supply power by disposable lithium sulfite chloride battery, the test results are unanimous with theory research.
Fire Simulation Research on a Bus Based on Pyrosim
Authors: Zhang Jian , Tao Yiwen , Liu Xiaoying , Zhao Hao 
Published: November 2020

Abstract
Aiming at the problem of automobile fire simulation, a common model bus is taken as the research object, and the Pyrosim software is used as a tool to realize the fire simulation. In this study, Auto CAD was used to establish a three-dimensional bus model, and then it was imported into Pyrosim software, and Pyrosim software was used to simulate the fire of the bus model. Through research, it is found that the fire of a bus has its own characteristics, which can be divided into four stages: initiation, flashback, deflagration, and stability. According to the simulation results, the flue gas simulation analysis and thermal power analysis were done, and the simulation results were analyzed and discussed in depth. During the research, it was found that although the application of Pyrosim software has certain limitations in the simulation of automobile fire simulation, the research results can still provide a reference for automobile fire simulation and automobile fire prevention and control.
Design of Fungi Fermentation Cultivation System Based on Single-Chip Microcomputer
Authors: Zhong Lingling , Cao Jianan , Li Changkai 
Published: November 2020

Abstract
With the development of science and technology, the application field of fungi fermentation production is becoming wide than ever before. In view of the strict requirements of high-quality fungi fermentation on the cultivation environment, a fungi fermentation cultivation based on STC89C52 single-chip microcomputer is designed. The system uses STC89C52 single-chip microcomputer as the control unit. The sensor detects the temperature, humidity and alcohol content of the cultivation environment. Then the data is analyzed and adjusted by the single-chip microcomputer in real time. Thus, the temperature, humidity and alcohol content in the cultivation environment can be in the optimal range and the parameters control of cultivation environment is realized. The system can monitor and adjust the parameters of cultivation environment in real time and improve the efficiency and productivity of fungi cultivation through the preliminary test. It can be predicted that the comprehensive research of electronic science and technology and technique of microorganisms cultivation will inevitably become the important matter and research aspect in the future.
Deeplabv3+ semantic segmentation model based on feature cross attention mechanism
Authors: Zeng Haibo , Peng Siqi , Li Dongxiang 
Published: November 2020

Abstract
Aiming at the problem that the deeplabv3+ model is not accurate in segmentation of the image target edge, the image feature fitting is slow, and the attention information cannot be effectively used. It is proposed to add a feature cross attention module (FCA) to the model. The cross-attention network is composed of two branches and a feature cross attention module. Among them, the shallow branch is used to extract low-level spatial information, and the deep branch is used to extract high-level context features to make important feature extraction more refined. This paper designs and realizes the connection between Feature Cross Attention module and Deeplabv3+ coding module, input the output features of the Deeplabv3+ encoding module into the feature cross attention module for convolution operation to realize the recalibration of the original features. The decoding module of Deeplabv3+ obtains spatial features and channel features from two branches respectively, and then merges the obtained features to obtain more important features. The improved model was validated by the Pascal Voc2012 data set, and the results showed that the ratio of average intersection and the average pixel accuracy were increased by 1.96% and 2.84%, respectively. The model added with FCA can effectively improve the shortcomings of the original model, can segment the target more finely, and better solve the problem of rough segmentation boundary.
Research on the Applicability of Weather Forecast Model—Based on Logistic Regression and Decision Tree
Authors: Deng Feiyang 
Published: November 2020

Abstract
With the continuous development of meteorological technology, weather forecast has become an indispensable part of human in agriculture and life. Regardless of whether it is a climate forecast on rainfall in agriculture or a weather forecast on mobile phones or TV, a variety of climate forecasts bring great convenience to people’s production and life. For ordinary people, the prediction of whether it will rain the next day seems to be more practical. Many people determine the clothing and whether to bring an umbrella to go out for the next day by checking the weather forecast on mobile phones and TVs. It can be said that the prediction of rain directly affects people’s living habits. On such basis, this article studies the question of whether it will rain tomorrow in life. Based on about 140,000 meteorological data from the Australian Meteorological Bureau, this article studies and analyzes the influential effect of whether it will rain tomorrow by establishing a logistic regression and decision tree model, and sets up a prediction model to predict whether it will rain tomorrow.
Region-level Ride-hailing Demand Prediction with Deep Learning
Authors: Lan Ruohui 
Published: November 2020

Abstract
The exponential growth of ride-hailing demand has disrupted the urban transportation and changing the way people travel. To alleviate the shortage problem, many researchers have done numerous experiments to predict the region-level ride-hailing demand which can arrange the vehicles more efficiently. In this paper, we use the online ride-hailing order dataset of Haikou, Hainan Province, China, released by Didi Chuxing. We apply historical models, MLP, CNN and ConvLSTM model for region-level ride-hailing demand prediction in the next hour. Compared to the traditional deep learning models, ConvLSTM has a better performance with the lowest RMSE (4.796) when the input historical length is 24 hours.
Application of Computer Information Processing Technology in Industrial Automation
Authors: Li Zhiling , Jiang Meng 
Published: November 2020

Abstract
With the continuous progress and development of China’s socialist market economy in recent years, the competition in various industries has become increasingly fierce, and all kinds of enterprises are constantly improving their comprehensive competitiveness. Only in this way can we ensure a firm foothold in the market, especially in the field of industrial production, and the higher production efficiency and intensity brought about by technological innovation and progress. The introduction of computer technology has strengthened the competition in the industrial field, and has also provided a strong impetus for the progress of industrial production. Computer technology is also the core of automation technology, so strengthening the research of computer information processing technology in industrial automation is to provide better guarantee for industrial production. This paper mainly analyzes and discusses the computer information processing technology used in industrialization at present, in order to provide reference and help for the development of related industries.
Since the beginning of China’s reform and opening up, the national economy has shown a rapid upward trend, and the development of the industrial field is also making progress. One of the most important reasons is the demographic dividend, which has enabled our economy to develop rapidly. However, with the decrease of the demographic dividend effect in recent years and the transformation of our market economy, the pace of economic development has gradually slowed down, which has led to a gradual increase in the cost of labor now, many traditional industrial projects no longer have advantages, and enterprise benefits are decreasing. This background has brought opportunities and space for the introduction and development of computer technology, With the continuous breakthrough of network technology and the continuous improvement of network coverage, the introduction of computer technology into the field of industrial production will inevitably lead to a huge increase in production efficiency and industrial efficiency.[1].
Research and application of safety Assurance system for oil and gas construction project based on Internet of Things
Authors: Wang Chuanping , Yang Xiaoli , Li Hu , Wang Xiaolei , Liu Tao , Hu Yao 
Published: November 2020

Abstract
The purpose of this paper is to establish the security mechanism and system of oil and gas resources through the study of the theory and technology of oil and gas resources security. In order to achieve the storage of oil and gas resources data management, security analysis and the future development trend of oil and gas resources indicators, based on the field of the existing SCADA system for the application object, aiming at the shortcomings of the current system, integration of emerging Internet of things technology, the Internet of things of sense, transmission and application of three layer hierarchical build mechanism, the design has realized the oil and gas production security system based on Internet of things, and apply it to the oil field construction projects. This paper mainly designs and develops the oil and gas resources security guarantee system, realizes the data analysis management, the forecast result visual display and the guarantee operation and so on function, has the important theory and the practical significance to the guarantee oil and gas resources security.
Overview of the II International Conference on Applied Physics, Information Technologies and Engineering — APITECH-II 2020
Authors: Kovalev Igor V , Voroshilova Anna A , Testoyedov Nikolay A 
Published: November 2020

Abstract
The overview describes the main directions and results of the II International Conference APITECH-II 2020 held in Krasnoyarsk from September 25 to October 4, 2020. It gives the details about the participants and the proceedings.
Study of the metal-dielectric phase transition of VO2: N film
Authors: Urinov Kh O , Amonov A K , Jumanov Kh A , Urinov J O , Makhmudov F Dj 
Published: November 2020

Abstract
In our work we studied the magnetic and electrical properties of thin VO2: N films, as well as the technology for producing films from the gas phase by the pyrolysis method. The features of the phase transition in VO2: N films are described, the anomalies found in the curve of the temperature dependence of electrical resistance, as well as the memory phenomenon and kinetics of the phase transition in VO2: N films are explained.
Design of directional couplers for marine applications with artificial transmission lines
Authors: Quan D M , Hung L Q , Thien P X 
Published: November 2020

Abstract
The article describes the design of the coupler for marine applications, on which the miniaturization of its dimensions was carried out. The description of the compact device is given. It consists of artificial transmission lines of the original form. The use of such lines for the coupler allowed to achieve good results in reducing the size. So the area of the resulting device is 72.25% less than that of a conventional device, while it has comparable characteristics. The described approach can be used for other devices requiring miniaturization and implemented on a printed circuit board.
Application of luminescence spectral assay for assessment of the functional state of birds’ gastrointestinal tract by nucleic acids content in cells
Authors: Akchurin S V , Larionov S V , Krasnikova E S , Akchurina I V , Krasnikov A V 
Published: November 2020

Abstract
The method of functional state evaluation of chickens’ glandular stomach mucous membrane epithelium, using luminescence spectral analysis with fluorescent dye “Ethidium bromide” was proposed. The dynamics of nucleic acids content in in cells of chickens’ glandular stomach under experimental escherichiosis and in intact poultry was established using this method. A gradual increase in the nucleic acids content in epithelium of glandular stomach of intact chickens was revealed from 1th to 30th days. The nucleic acids content in cells of chickens under experimental escherichiosis was gradually increased from the fourth day of life (second day after infection). The minimal index of nucleic acids content was recorded at the 7th day of chickens’ life. From 8th to 30th days of life, periods of increase / decrease in nucleic acids quantity in the cells were noted. By the 30th day, nucleic acids content in the chickens glandular stomach epithelial cells of the experimental groups was less by 40.1% than in control group poultry.
Topographic space for distributions of the Amoroso family
Authors: Polosin V G 
Published: November 2020

Abstract
The paper contains material about the possibility of systematization and analysis of shifted non-symmetric models of the Amoroso family in the topographic entropy-parametric space of distribution shape. To form the space of distribution forms, it is proposed to use the entropy coefficient of shifted asymmetric models as an independent information measure of the shape of the family distributions. The material is illustrated with an example of displaying curves in the space of information and statistical coefficients. Mapping the positions of distributions in the shape space of the entropy coefficient combined with the statistical coefficients of skewness and kurtosis improves the distinguish ability of the distributions.
Investigation of modes and conditions for superimposing ultrasonic vibration on heat exchangers
Authors: Khmelev V N , Abramenko D S , Genne D V , Nesterov V A , Barsukov R V , Tsyganok S A 
Published: November 2020

Abstract
The article presents investigations results of ice destruction on heat exchange surfaces (radiators) using intense ultrasonic vibrations for subsequent research of cavitation resistance of heat exchangers. Possible locations and methods of mounting the ultrasonic vibratory system were identified for the typical construction of heat exchanger. Several constructions of ultrasonic vibratory systems have been studied for use in further researches.
Building the control signal model for design of 3DOF motion platform of marine simulation system
Authors: Quan D M , Tuan D A , My T C , Hung L Q 
Published: November 2020

Abstract
In this article, the dynamics of a 3DOF motion platform which supports the bridge and imitates the motion of the ship is studied that introduces a new control signal model. This research is based on a Stewart platform in three degrees of freedom (roll, pitch and heave). The platform deck is moved by three frequency-controlled servo drives. A new approach is presented to deal with this issue, namely “the exact control signal model estimation method”. Based on Newton-Raphson iterative method, simulation of this approach is conducted, their demerits and merits are compared in detail. It is concluded that the improved estimation model, when providing good initial iteration values, shows the exact simulation of the nonlinear kinematics of the considered parallel manipulator 3DOF motion platform.
Study of coagulation efficiency of highly dispersed particles under the influence of high intensity ultrasonic vibrations
Authors: Khmelev V N , Nesterov V A , Shalunov A V , Bochenkov A S , Tertishnikov P P 
Published: November 2020

Abstract
The article presents the results of experimental studies of the coagulation efficiency of fine-dispersed particles at the influence of high-intensity ultrasonic vibrations in various modes (including the standing wave mode). The study of the influence of various conditions of ultrasonic exposure on aerosol coagulation efficiency was conducted on the developed stand. The optimal distance from the ultrasonic emitter to the reflector has been established. This distance ensures maximum efficiency of aerosols coagulation at standing wave mode. Thus, it is possible to increase coagulation efficiency up to 2 times at optimal conditions.
Modeling unbalanced systems in network-like oil and gas processes
Authors: Sergeev S M , Raijhelgauz L B , Hoang V N , Panteleev I N 
Published: November 2020

Abstract
In the paper proposes a analog of the method E. Rote (the method of semi-discrete by time variable) to construction converging different schemes when analyzing the mathematical models of network-like oil and gas processes. The proposed method reduce the study of the input initial boundary value problem to study the boundary value problem in a weak setting for elliptical type equations with distributed parameters on the net-work. Thus, there is another possibility, besides the Faedo-Galerkin method, to construction approaches to the desired solution of the initial boundary value problem, to analyze its stability and the way to prove the theorem of the existence of a weak solution to the input problem. The approach is applied to finding sufficient conditions for the existence of weak solutions to other initial boundary value problems with more total boundary conditions -- in which elliptical equations are considered with the boundary conditions of the second or third type. Further analysis is possible on the way to finding the conditions of the Lyapunov stability. The approach can be used to analyze the optimal control problems, as well as the problems of stabilization and stability of differential systems with delay. Presented method of finite difference open new ways of approximation of the states of the parabolic system, analysis of their stability when numerical implementation and algorithmic of optimal control problems.
To continue the optical-mechanical analogy
Authors: Valishin N T , Volkov A I , Bildanova Z F , Selivanova V A 
Published: November 2020

Abstract
On the basis of the V-function method, an optical-mechanical analogy is carried out; and further it receives a new continuation. In particular, the equality of the phase velocity of the wave and the velocity of the particle is shown. It is noted that according to its physical meaning the wave characterizes the properties of the action that manifests itself in the motion of the particle. The V-function method is based on the concept of a process-state and it consists of a local variational principle, a new formulation of the direct and inverse problem of dynamics. According to the V-function method, the trajectory motion of an object is associated with its wave motion. In this case it is assumed that there is an explicit connection between the trajectory and wave equations of the object. The application of the V-function method for the case of rectilinear motion of an object is shown.