bluuebunny/crossref_metadata_2025 huggingface dataset:
Research on Basic Programming System of Computer Science Mobile APP Software Engineering
Authors: Wang Haoran
Published: June 2021

With the continuous development of computer network technology and the large-scale popularization of smart phones, mobile phone palm technology has also ushered in a golden period of rapid development. The development and use of mobile terminals provide a broad and convenient stage for the development of APP technology applications. Based on Android phones, the development and application of mobile phone APP software can effectively improve development efficiency, promote some development activities not to be restricted by time and space, improve the flexibility of the development system, and meet the development needs of the new era. Based on this, this article deeply analyzes the background of developing Android mobile phone APP software on the computer basis, from the aspects of hardware, software and operation, detailed research on software development and application, promotes the popularization of related mobile phone software technology and product promotion, and develops mobile phones for the construction of computers. The APP mode laid the foundation.
Design of multi-robot system based on target detection
Authors: Wu Zongyuan
Published: June 2021

Traditional target-following robots are not only easy to lose targets, but also unable to solve all kinds of unexpected situations in time. Based on the above problems, this paper designs a multi-robot following system based on target recognition. The system can complete the task of target following through image recognition and processing and PID algorithm control. While completing target following, it can also complete the cooperative control of multi-robots by constructing local networks among robot systems, which makes the system have better processing ability for various situations. After experimental tests, the robot system has higher following robustness and practical value.
Time-varying formation control for unmanned intelligent vehicle (UIV) with mobile reference center
Authors: Zheng Yinan
Published: June 2021

This paper studies a time-varying formation control algorithm based on the unmanned intelligent vehicle (UIV) system. First, modeling the multi-agent system. Reference [4] gives the time-varying formation control algorithm of multi-agent under changing communication topology and necessary and sufficient conditions for the establishment of the algorithm. The simulation verifies the effectiveness of the algorithm. On this foundation, based on the consensus theory, this paper proposes a formation algorithm in the case of a formation reference center movement and realizes multiple time-varying formations of a multi-agent system through simulation. The simulation results show that the algorithm proposed in this paper can quickly realize formation under different formation requirements and the algorithm has better control effect and robustness.
Improved NSGA-II Algorithm for multi-objective flexible job shop scheduling problem
Authors: Dai Yutong
Published: June 2021

In order to solve the problems such as poor diversity and poor convergence ability of the offspring population of the NSGA-II Algorithm in the vehicle production scheduling problem, an improved shop scheduling algorithm based on NSGA-II is proposed. The improved NSGA-ii Algorithm mainly focuses on the crossover and mutation of the traditional NSGA-II Algorithm, and proposes a new improved self-adaptive Crossover and mutation operator. By comparing the individual crowding degree with the average crowding degree of the population, and combining the iterative evolution process of the population, in order to avoid blind orientation and to improve the convergence speed of the population, the genetic probability is correlated with the individuals and the evolution iteration times of the population, and a new uniform evolution strategy is proposed to select the individuals of the population through adaptive hierarchical selection, in order to improve the quality of the solution, the problem of the poor diversity of the offspring population was solved. The improved NSGA-II Algorithm is used to carry out the experimental simulation analysis. The effectiveness of the proposed algorithm is verified by comparing the optimization results before and after the improvement.
An Improved genetic algorithm for solving TSP
Authors: Tao Shuaihan
Published: June 2021

An improved genetic algorithm is proposed to solve the traveling salesman problem. On the basis of traditional genetic algorithm, greedy algorithm is introduced to initialize the population. The genetic parameters are adjusted adaptively from two aspects of genetic evolution algebra and individual fitness function value, which can speed up the optimization speed and prevent the optimization from falling into local optimum. In mutation operation, adaptive algorithm is used to select mutation operator to improve the quality of variation and search effect of the algorithm; after individual evolution, one-way evolutionary reversal operation is introduced to improve the chance of inheriting parent and parent genes, and improve the ability of algorithm to search for optimal solution.
The Analysis of Computer Aided Design and Software Application in Textile industry
Authors: Jing Fei
Published: June 2021

Based on the combination of ethnic minority costume design and computer information technology, the first is to promote the reform and innovation of ethnic minority costume design; Second, computer information technology plays an auxiliary role in ethnic minority costume design. The two complement each other. They not only enhance the expression of costumes in the innovation and reform, but also better promote ethnic minority costumes, which can be applied to more occasions and attract more people’s attention.
Research on Expression Recognition Algorithm Based on Attention Mechanism
Authors: Sun Lei
Published: June 2021

Facial expressions carry the emotional state of human beings and are one of the most powerful signals for humans to express themselves. Therefore, the research of facial expression recognition has very important significance and broad application prospects. However, in complex scenes, the blurring of facial images, the interference of redundant information, and the similarity of expressions will cause unsatisfactory expression recognition. In response to these shortcomings, this article adds a convolutional attention module to the basic Resnet network structure, infers the attention map in turn along two independent dimensions (channel and space), performs adaptive feature optimization, captures expression feature information, and reduces human faces. The interference of redundant information; and the introduction of island loss ISlandloss classification to optimize the distance between classes, so that the network can learn more discriminative features, and improve the discrimination of expressions. Compared with the existing mainstream facial expression classification algorithms, this method has certain advantages in objective evaluation indicators. The experimental results on FER2013 show that the accuracy of this algorithm is 73.85%, which is higher than 71.23% of the Resnet network.
Research on Wasp population based on Gray Prediction and Fuzzy Analytic hierarchy process
Authors: Wu Xinyuan , Wu Yujia , Xu Xiaohan
Published: June 2021

The invasion of exotic species should be paid attention to because of its severe consequences, and governments have constructed monitoring and tracking system to collect people’s sightings of species. For example, Asian giant hornet, an exotic species for North American countries was first discovered in September, 2019. Interpretations based on received reports are of essential to master the current situation of species and to predict its spread. However, there is a considerable number of mistake reports, it is necessary to select the most likely positive reports out of mountains of reports to be detailly investigate first. In this paper, two main problems are focused: interpretation of historical reports and strategy of prioritization. First of all, this paper preprocesses the image data based on Gaussian filtering and convolution neural network to make it as balanced as possible. In addition, the image consists of a wide range of array data. Proper treatment can improve the efficiency of analysis. Then, construct the GPSM model (Gray Predicting Spread Model) based on gray prediction to measure the spread of the pest. From the historical positive sighting location provided in the dataset, the GPSM model is able to output the predicted next location following the previous principle. If the distance between predicted location and current outbreak area are significant, a spread can be concluded. Tests for the GPSM model shows the model has a very high level of precision
A Study on Comprehensive Industry Data System Based on Computer Exploring Big Data and Resource Integration
Authors: Huang He
Published: June 2021

Sports tourism resources are divided into two types: sports tourism natural resources and sports tourism human resources. The natural resources of sports tourism are divided into landform resources and water resources. The human resources of sports tourism are divided into folk customs and events, venues and buildings. The thesis explores the advantages and disadvantages of Chinese existing sports tourism information system through the combination of big data and sports tourism. At the same time, we analyzed and established the hierarchical structure of the sports tourism information system big data platform and the logical structure of the sports tourism data warehouse, and constructed a sports tourism information data model system based on big data analysis, laying a foundation for further research on the sports tourism information system based on big data.
Research on trajectory smoothing algorithm of dynamic geometry software
Authors: Wang Ying , Chen Ruxian , Rao Ailing , Zhong Xiaowei , Huang Yong
Published: June 2021

As a kind of mathematical geometry education software, dynamic geometry software is an application software that can interactively create and manipulate geometric objects. Its vivid image changes and colorful geometric objects provide teachers with an efficient Geometry teaching tool. Comparing and analyzing the existing geometry software, we found that there is a curve smoothness problem in its trajectory drawing. In this article, we propose the uniform point selection method based on the principle of the trajectory generation geometric method. Under the premise of ensuring rendering efficiency, extensive case studies have shown that the smoothness of the trajectory curve generated by this method has been improved.
Research on the Control System and Risk Management Based on Internet Big Data and Cloud Computing
Authors: Wang Xiujun , Yu Dengchen , Zhang Fei , Li Xin
Published: June 2021

The advancement of Internet information technology and the strong demand for private finance have promoted the vigorous development of Internet financial netw ork lending. However, due to the complexity of the network environment and the volat ility of the financial market, Internet finance has a higher risk. Aiming at the particular ity of Chinese Internet financial big data platform, this article uses Internet lending as a case to screen out 15 financial risk indicators. The article uses the principle of game t heory to set the principal component factor as a variable, and the operation of the platf orm in 2018 as the dependent variable to establish a financial risk early warning syste m for the online lending platform. At the same time, the paper cited cloud computing t o optimize its performance, and designed a financial risk management and control syst em based on cloud computing. Construct system test links to test system performance. With the same amount of data and the same test platform, the computing performance of this system is better than that of the original system.
Research and Design of Online Training Platform based on Spring Cloud Distributed System Structure and Computer Big Data
Authors: Sun Xu , Chen Haonan , Wang Qiaoyun , Liu Xu
Published: June 2021

The thesis combines the national policy on the targeted poverty alleviation system and follows the adaptive efficiency principle of rural development, and designs a system that promotes the coordinated operation of government mechanisms and market economic mechanisms in the form of a new type of professional farmer training. The system combines and analyses the characteristics and needs of new-type professional farmer trainee skills training, and establishes a new-type professional farmer training platform and operating mechanism through information technology. The paper designs a new online training platform for professional farmers based on the spring cloud distributed system structure, which provides convenience for new professional farmers to participate in education and training.
Research and Developing of Evaluation Information System Using B/S Structure and SQL Server Technology
Authors: Li Yunyun , Chen Lulu , Yu Dengchen , Gao Renhao
Published: June 2021

The paper analyses the status quo of the construction of the teaching staff of undergraduate colleges and universities in Jilin Province, expounds the irrational structure of the teaching staff, the low professional autonomy of teachers, the instability of the teaching staff, the lack of humane care for teachers in society and schools, and the teaching staff. Poor management and other issues. Based on the actual needs of undergraduate colleges in Jilin Province, this thesis uses the. NET framework, ASP.NET and SQL Server technology to develop a university teacher management information system based on the B/S structure. The system includes basic teacher file management, discipline construction management, the functions of teaching and research management, scientific research management, faculty management and system management have reached the goal of networked and electronic management of the school’s teacher information. The purpose of the thesis is to improve the construction level of teachers in private colleges and universities in Jilin Province.
Industrial Service Skill Development in the Service Regions Based on the Nonlinear Fractional Differential Equation Model
Authors: Wang Wei , Wang Qi , Sun Xue , Yu Dengchen
Published: June 2021

Based on a questionnaire survey of economics students at school, 290 students majoring in economics were selected as the survey sample, and a nonlinear fractional differential equation model was constructed to comprehensively score the innovation ability of school students. The study found that the innovative spirit of economics students is more active, but the innovative skills are relatively scarce. In this regard, it is proposed to promote the reform of the education system, improve the implementation and evaluation mechanism, focus on theory and practice, promote the application of innovative abilities, improve the quality of teaching, cultivate a team of learning teachers, cultivate students’ independent thinking ability, strengthen students’ logical thinking ability, and promote “industry-university-research” Suggestions on base training model.
Research on Signal-to-Noise Ratio Optimization based on Chaotic Immune Difference Algorithm
Authors: Wang Yu , Wang Shengpeng
Published: June 2021

A new algorithm based on the combination of chaotic sequences and immune differencing is proposed to improve the population diversity capability of the immune differencing algorithm in order to improve the conventional immune differencing algorithm for solving the signal-to-noise optimal problem. The method uses chaotic sequence immune differencing for population expansion, and the accuracy of the algorithm is analysed. In order to test the effectiveness of the algorithm, it is applied to a function optimisation problem. Simulation results show that the method has a lower number of iterations and better accuracy.
Construction of Driving State Prediction Model Based On the Adjustment Variables of the Layout Elements
Authors: Xie Huawei
Published: June 2021

This paper studies and analyzes the influence of cab layout elements such as vehicle seat, steering wheel, mirror and other adjustment variables on driving posture. The prediction model of adjustment variables of each arrangement element and key elements of driving posture is also established. Based on the multivariate factor regression analysis of the experimental data, the variables were adjusted according to the layout elements of the vehicle cab, and the corresponding driver’s posture and human physical characteristics were predicted. At the same time, this paper collects new experimenter data, evaluates and verifies the prediction effect of the model, and analyzes the shortcomings and limitations of the prediction model.
Multi-Physical Tracking and Sensing Technology of Switchgear Partial Discharge Based on Edge Computing and Smart Gateway
Authors: Jia Zhijie , Fan Songhai , He Dameng , Wang Jiayi , Dong Hanbin , Tang Zhiguo
Published: June 2021

In view of the high bottleneck of current partial discharge detection technology, strong professionalism and heavy detection tasks, the partial discharge process is greatly affected by the equipment operating environment and condition factors. The paper proposes a switching device partial discharge multiphysics based on edge computing. Research on perception and state tracking technology. The article aims at the edge computing technology of multi-physical partial discharge signal feature extraction, the construction of multi-physical tracking over-limit early warning model, and the development and trial production of intelligent gateway technology. The research found that the edge computing algorithm proposed in the paper can effectively reduce the cost and power consumption under the premise of ensuring the performance of the detection system.
A Review of Modeling Modification Methods for Mixed FE-SEA
Authors: Su Jintao , Lou Jianping , Jiang Xiaolu
Published: June 2021

Since the traditional deterministic method and classical statistical energy method have little room for improvement, more and more researches gradually turn to the combination of the two methods to solve the low and medium frequency “acoustic vibration” problem. However, in the application of mixed FE-SEA model, researchers found that when the coupling interface between FEA substructure and SEA statistical substructure is in the form of continuous interface, a very large finite element grid needs to be established at the boundary of the mixed model, which leads to huge time-consuming problem in the calculation of medium and low frequency of the mixed model. To solve this problem, the hybrid FE-SEA model needs to be improved and modified. In this paper, some common hybrid model correction methods, including deterministic subsystem edge gradient correction, are reviewed to provide theoretical support for the comprehensive study of hybrid model correction.
Research on Mathematical Model of Box Office Forecast through BP Neural Network and Big Data Technology
Authors: Dai Debao , Chen Jibin
Published: June 2021

With the rapid development of China’s film industry, the public’s enthusiasm for watching films has growing, and the contribution rate of the film industry to the economy has increasing year by year. Based on the research at home and abroad, this paper takes the box office of China’s films as the dependent variable, selects a series of indicators of China’s film box office for grey correlation analysis, and selects seven related indicators as independent variables, including the number of fans of heroine, the number of fans of hero, the box office of the first week, the number of fans of director, Baidu Index, average ticket price and film type. The influencing factors calculated by grey correlation degree are taken as the input of BP neural network, and the box office of China’s films is taken as the output of the network to predict the box office of China’s films. The results show that the prediction model based on BP neural network is more accurate than the classical Multiple Linear Regression model. This model can predict to a certain extent, and the prediction effect is good. It can predict the overall trend of film box office and provide reference for investment enterprises.
A Textual Examination for the Sake of Artificial Intelligence Pronunciation through Sound Processing Technology
Authors: Yu Zhang
Published: June 2021

The relationship between AI language processing and human language analysis should not be delayed as AI application is in its blossom. The analysis of the cultural and social background in which the language is produced will better the application of natural language processing in AI. The study of interpersonal function, individuation and multimodality in Black English in the novel “The Color Purple” might provide implications for the relationship between language and society in terms of AI language processing and discourse analysis.
The Physics Research of Optical Information Effect at Low Loss in Nonlinear Optical Fiber Transmission
Authors: Ma Chuantao
Published: June 2021

Both nonlinear effects and dispersion are important factors that affect the transmission of optical pulses in optical fibres. In the anomalous dispersion region, the mutual balance of dispersion and nonlinear effects can achieve optical soliton transmission. Starting from the nonlinear Schrodinger equation of the optical pulse, under the condition of ignoring the dispersion, the nonlinear phase shift and frequency chirp of the Gaussian optical pulse under the nonlinear effect of self-phase modulation (SPM) are derived and simulated; the numerical simulation of the SPM the spectrum of Gaussian optical pulses with different maximum phase shifts without chirp and with positive chirp. The study found that the fusion loss of the fibre obtained by this algorithm is less than 0.11dB than that of the traditional single-mode fibre, and the additional bending loss caused by the wavelength range of 1460nm to 1625nm after winding 100 times on a 60mm cylinder is less than 0.02dB/km.
Research on single-epoch RTK positioning method based on Doppler relative velocimetry
Authors: Li Wei , Cai Chenglin , Deng Yuzhen , Wu Qian , Zhang Zhiqiang
Published: June 2021

In the traditional single-epoch kinematic positioning, the positioning performance is relatively poor due to the less prior constraint information and lower success rate of ambiguity fixation. Accordingly, this paper proposes a single-epoch kinematic positioning method using Doppler relative velocity information constraint, that is, using Doppler observation information of rover station and base station for relative velocity measurement, and then using rover’s prior coordinates and velocity information to predict the coordinates of the current epoch, considering the advantages of higher accuracy of this method for coordinate update and more robustness of traditional single-point positioning, the corresponding strategy for single-epoch ambiguity resolution is further introduced to improve the positioning performance. The experimental results show that the proposed method can improve the accuracy of the float solution and ambiguity fixation rate, especially when the satellite geometry is poor and the observation conditions are obscured.
Fabrication of NO-containing calcium phosphate coatings via direct introduction of argon-nitrogen-mixtures applied in reactive RF-magnetron sputtering
Authors: Fedotkin A Y , Maryin P V , Miklashevich L A , Tverdokhlebov S I
Published: June 2021

Nitric oxide plays a crucial role in the human body, due to its regulatory effect on vascular tone, cell adhesion, vascular permeability, etc. The introduction of nitric oxide into calcium phosphate coatings can increase the bioactivity significantly. This article proves the possibility of deposition of nitric oxide-containing calcium phosphate coatings on titanium substrates. Therefore, various argon-nitrogen working gas mixtures were used in reactive radiofrequency magnetron sputtering of hydroxyapatite. The amount of nitric oxide increases with the concentration of nitrogen in the working gas mixture. Coatings characterized by a higher deposition rate of nitric oxide are showing also a higher roughness of the surface. Due to the adjustment of these deposition parameters, the morphology of the coating surfaces can be regulated.
Properties of CaP coatings produced by reactive RF-magnetron sputtering in a mixture of nitrogen and noble gases
Authors: Fedotkin A Y , Bukal V R , Tverdokhlebov S I
Published: June 2021

Calcium phosphate coatings are widely used to increase the biocompatibility of metal implants. Nowadays various dopants in the structure of calcium phosphate coatings are actively studied. Nitric oxygen is known as an essential mediator of blood flow. Its presence in the structure of calcium phosphate coating can stimulate angiogenesis and promote osseointegration of the implant. This article is dedicated to the study of morphology and physico-chemical properties of the calcium phosphate coatings formed via reactive RF-$$$magnetron sputtering of hydroxyapatite in the mixture of noble gases (Ne, Ar and Xe) and nitrogen with the same volume concentrations. There is a decrease in grain size and an increase in roughness with the growth of the atomic mass of noble gas in the mixture with nitrogen. The Ca/P ratio also decreases with the increase in the atomic mass of noble gas. Coatings formed in Ne + N2 and Xe + N2 gas mixtures are characterized by higher surface free energy in comparison with the ones formed in Ar + N2. It allows us to suggest that the coatings formed in Ne + N2 and Xe + N2 are more biocompatible than ones formed in Ar + N2, however, additional studies are needed to prove it.
Nanoindentation of AlN, GaN, and AlGaN films grown by HVPE on SiC/Si hybrid substrates
Authors: Grashchenko A S , Kukushkin S A , Osipov A V , Sharofidinov Sh Sh
Published: June 2021

This paper presents an experimental study of structural and mechanical characteristics of thin films of AlN, GaN, and AlGaN grown on hybrid SiC/Si substrates by the method of HVPE. The surface roughness of the films and substrates has been measured. The thickness and molecular composition of the films have been determined by spectral ellipsometry. An analysis of elastic deformation occurring in the films as a result of indentation has been made. The values of hardness and Young’s modulus of the films have been calculated.
Coatings-electrodes for processing dielectric aluminum oxide ceramics on a wire electrical discharge machine
Authors: Hamdy K , Okunkova A A , Fedorov S V
Published: June 2021

Despite its excellent exploitation properties, the non-conductivity of aluminum-$$$based oxide ceramics significantly limits its application and remains an actual science and technology challenges. An approach to the electrical discharge machining of Al2O3 ceramics using a triple copper coating with a thickness of ∼120 µm as an auxiliary electrode and assisting TiO2-suspension a powder particle concentration of 50, 100, 150 g/l is investigated. The experiments were carried out with unprofiled brass (Ø 0.25 mm) and tungsten (Ø 0.1 mm) wire tool electrodes in a deionized water medium. The highest performance (material removal rate) was obtained for 100 g/l concentration, the pulse frequency of 5 – 8 kHz with a brass tool.
Comparative experiments on hydrogenation of titanium films and foils
Authors: Karpov D A , Ivanov A G , Chebukov E S , Yurchenkov M I
Published: June 2021

Comparative experiments have been performed for the gas-diffusion hydrogenation of vacuum-deposited titanium films and commercially produced titanium foils. The sorption and thermodesorption characteristics of obtained hydrogenated materials and the values of hydrogen mass content in these materials have been defined. Differences in the resulting structure of deposited films and foils after hydrogenation are shown.
Influence of the electronic structure of carbon (diamond-like) thin films on tribological characteristics
Authors: Kolesnikov V I , Kudryakov O V , Zabiyaka I Yu , Novikov E S , Voropaev A I
Published: June 2021

This study takes a new look at carbon-based ion-plasma coatings (DLC) deposited on a steel substrate from acetylene and methylsiloxane gas mixture. The most remarkable result to emerge from X-ray photoelectron spectroscopy is a surface-to-substrate decrease in the “diamond” electron configuration of carbon sp3. A set of tribological tests showed a noticeable decrease in the coefficient of friction. Surprisingly, there was no increase in wear resistance when using DLC coatings on the contact surfaces of nitrided nitralloy steel in a loaded friction unit.
Formation of hydrophobic polymer coatings on the track-etched membrane surface
Authors: Kravets L I , Yarmolenko M A , Gainutdinov R V , Satulu V , Mitu B , Dinescu G
Published: June 2021

Methods of forming coatings on the hydrophilic poly(ethylene terephthalate) track-$$$etched membrane surface by means of plasma polymerization of organic compounds, magnetron sputtering and electron-beam dispersion of polymers in vacuum are considered. It is shown that the usage of compounds with low surface energy as pristine materials to coatings application allows to obtaining hydrophobic coatings on the membrane surface. The resulting composite membranes with hydrophilic and hydrophobic layers can be used in membrane distillation processes for desalination of seawater.
Application of an anti-emission coating of pyrolytic carbon to the grid electrodes of high-power electrovacuum devices by deposition from the gas phase in carbon plasma
Authors: Kuznetsov V G , Kostrin D K
Published: June 2021

A technology for applying an anti-emission pyrocarbon coating by plasma-chemical gas-phase deposition to the grid electrodes of high-power electrovacuum devices has been developed. The plasma of a vacuum-arc discharge from a graphite cathode is simultaneously used for heating the grid electrodes, cleaning the grid electrodes from surface contamination, and for decomposing the reaction gas into active radicals. Experimental studies have shown that the satisfactory structure of the coatings and the adhesion of the coatings to the grid electrodes are provided at the temperature of the grid electrodes in the range from 550 to 1300 °C.
Evolution via friction of properties of DLC nanofilms on steel
Authors: Kuznetsova T A , Lapitskaya V A , Torskaya E V , Muravyeva T I , Mezrin A M , Samardak V Y , Khabarava A V , Trukhan R E , Chizhik S A
Published: June 2021

The results of the diamond-like carbon (DLC) coatings surface investigation with thickness of 100, 300 and 500 nm, applied on hardened steel via laser ablation methods and pulse arc discharge are presented. Topography, roughness, adhesion forces and specific surface energy of coatings before and after tribotests were studied using atomic force microscopy (AFM). The changes in the elastic modulus E and microhardness H of the surface after dry sliding friction have been established by nanoindentation method (NI).
Influence of magnetron spraying parameters on the structure of TiN-Pb coatings
Authors: Lozovan A A , Ya Betsofen S , Lyakhovetsky M A , Pavlov Yu S , Grushin I A , Nikolaev I A
Published: June 2021

Using X-ray diffraction analysis, we studied the effect of a number of deposition parameters of magnetron TiN-Pb coatings on substrates made of 30KhGSA and 12Kh18N10T steels on the structure of the coatings. It is shown that at a current value of 0.1 A on the Pb cathode, the coating consists mainly of TiN with a pronounced (111) texture. An increase in the current at the Pb cathode to 0.2 A leads to the dominance of Pb and PbO in the coating structure. The influence of ion-assisted and nitrogen consumption on the structure of coatings is noted.
Plasma jet stream simulation for formation coating and powder manufacturing processes
Authors: Okulov R A , Krashaninin V A , Popov E V
Published: June 2021

To carry out a comparative analysis of the parameters of the plasma jet flow, the configurations of the plasmatrons that are most common in industrial practice have been selected. The values of temperature, velocity and intensity of turbulence at the characteristic point are determined depending on the shape of the components of the plasmatrons. Recommendations have been developed for the configuration of technological equipment used in the processes of coating and powder production.
Biocoatings synthesized on magnesium alloy in system Ca3(PO4)2–CaSiO3 by micro-arc oxidation method
Authors: Sedelnikova M B , Ugodchikova A V , Tolkacheva T V , Sharkeev Yu P , Kazmina O V , Schmidt J
Published: June 2021

Biocoatings were formed on the surface of the Mg0.8Ca alloy by the method of micro-arc oxidation, in an electrolyte containing β-Ca3(PO4)2 (β-TCP) and CaSiO3, When the process voltage was varied in the range of 350–500 V, the thickness, roughness, and mass of the coatings increased to the values of 110 µm, 12 µm, and 11 mg, respectively. The presence of the following crystalline phases was determined in the coatings: α-TCP, wollastonite, forsterite and magnesium oxide. Coatings containing these compounds not only reduce the rate of bioresorption of the magnesium alloy, but also promote the process of bone tissue formation.
Acoustoelectronic interaction in metal island films
Authors: Simakov I G
Published: June 2021

The interaction of surface acoustic waves with conduction electrons of island films of various metals was investigated. Island films were formed on the surface of piezoelectric crystalline substrates: Lithium Niobate, Bismuth Germanate, and Piezoquartz. It is experimentally obtained that the surface acoustic wave attenuation as a function of film resistance has a characteristic maximum, and that the velocity changes from the velocity at the free surface of the substrate to that at the metallized surface.
The testing methods for anti-icing properties of ultra-thin fluoropolymer coatings
Authors: Vokhidov A S
Published: June 2021

The paper discusses the testing methods of ultra thin film-forming fluorocontained polymer compositions, which form the surface modifying structures, long-life coatings and nanosize films, giving the treated surface anti-icing, tribological and hydrophobic properties.
Experimental research of film hydrogen accumulator model
Authors: Yurchenkov M I , Ivanov A G , Karpov D A , Chebukov E S
Published: June 2021

For the experimental research of hydrogen sorption / desorption processes, a model of a film hydrogen accumulator with a tape foil carrier has been developed and manufactured. Experiments were carried out to study the sorption / desorption (S / D) of hydrogen on a model of a film battery with a tape carrier (NiCr foil 20-50 microns with a titanium coating of 10-15 microns and a magnesium coating of 2-5 microns).
The features of porosity formation in multilayer stainless-steel samples formed by laser deposition of metal
Authors: Zavalov Y N , Dubrov A V
Published: June 2021

Experimental results of the identification of the intra-word and inter-layer porosity of multilayer objects formed during the laser deposition of austenitic stainless-steel powder at different values of technological parameters are presented. The dependences of the residual porosity, determined by processing the image from the cross-section sections of the samples, on the type of porosity and the scanning speed are given.
The surface roughness of samples formed in the combined technology of laser metal deposition with layer-by-layer remelting
Authors: Zavalov Y N , Dubrov A V , Makarova E S
Published: June 2021

The surface roughness of the layer formed during laser metal deposition before and after laser remelting is determined. The single-layer objects are formed using austenitic stainless-steel powder at different technological parameters in the combined technology of laser metal deposition with layer-by-layer remelting. The improvement of the roughness after laser remelting is shown.
Research on Data Mining of Intelligent Education Evaluation from the Perspective of the Knowledge Graph
Authors: Chen Yanan
Published: June 2021

The continuous development of Internet information technology given birth to data mining technology. Data mining is applied to analyze the internal relationships of data and provides a more optimized advancement way. The paper focuses on how to improve the data mining and analysis capabilities of intelligent education to associate students of the same characteristics. A cluster analysis method was utilized to construct a students’ knowledge graph model, which used a text classification algorithm to classify the evaluation questions and attribute them into various knowledge points. On the basis of the analysis on the data generated from online education, the clustering algorithm was adopted to classify the learning characteristics of the students. A knowledge graph developed by associating the students with similar characteristics was visualized be means of information technology in order to realize visualized and intelligent teaching.
A Comparative Genre Analysis of Chinese Folk Song Huar Based on Digital Humanities
Authors: Tang Qianqian , Xu Yan , Yuan Ying
Published: June 2021

As an intangible cultural heritage, the folk song Huar is a precious name card of Chinese national culture. Its protection and inheritance are of great significance for promoting multi-ethnic cultural identity and enhancing cultural confidence. Genre research is an important topic in the study of Huar. However, current Huar genre researches are mainly based on qualitative methods. Digital Humanities is an emerging discipline that applies computing and digital technology to the study of the humanities. Comparing to traditional methods, Digital Humanities is a more accurate and efficient method of style analysis on literary texts. Through the methods of Digital Humanities, we can objectively show and verify the similarities and differences between Huar genres, and make up for the lack of objectivity in the traditional Huar genre research. Therefore, in this paper we combined qualitative and quantitative methods to make a comparative style analysis on Hehuang Huar and Taomin Huar from two aspects, namely rhythm and sentence pattern. Furthermore, we explored the reasons in depth behind these surface rules from the perspectives of music, literature, nationality and history. We simultaneously use hierarchical clustering to verify the discrimination of genres on specific style features. The result of this research shows that the research perspective and methods of digital humanities can provide objective conclusions for Huar researches, which can provide data support and scientific basis for researchers or enthusiasts to distinguish, appreciate and study Huar.
AN Analysis of COVID-19 Clinical Research Based on Trials & Publications in 2020
Authors: Zong Yanxiang , Zhu Heying , Xin Jesse Z. X. , Zhang Yin , Li Huoyou , Wang Lei , Wu Qingqiang
Published: June 2021

The global pandemic of COVID-19 has brought huge public health challenges to the world. To meet the challenge, researchers worldwide have carried out a series of clinical studies. This article aims to analyze the progress of COVID-19, and explore the development and main research directions in 2020. The clinical trials focus on the design of the trial plan, which can be registered on the platform after the design is completed. The purpose of clinical publications is to publish trial results, focusing on in vitro tests, drug screening and so on. Based on these characteristics, this paper analyzes both clinical publications and clinical trials, and explores the development of global clinical research in 2020 from countries, intervention methods and trial designs. The experimental results show that the United States and China have published the most publications and carried out the most clinical trials. The maximum intervention methods in clinical trials & publications are focused on the drugs.
The Application of Computer Big Data in Internet Learning
Authors: Wu Zeyu
Published: June 2021

This article analyzes the application advantages and application process of computer big data in Internet learning. The author studies the specific applications of computer big data in online live broadcast, online interaction, online search, and online software. The author puts forward the optimization measures of how to do a good job in guiding students, optimizing course learning mode, and strengthening the training of teachers’ strength. The purpose of this article is to give full play to the application value of computer big data and continue to optimize the Internet learning model.
The Cross-agency Sharing Scheme and Data Quality Evaluation —— A Case study of Geo-spatial big Data
Authors: Bai Yi , Li Song , Zhang Wei
Published: June 2021

In order to improve the sharing degree of big data and solve the pain points that are unwilling to share and can not be shared, cross-agency analysis and research should be carried out. Aiming at the construction characteristics of Geo-spatial big data, the main problems and solutions in Geo-spatial data sharing were analyzed. Starting from the management system, technical standards and physical architecture, a big data cross-agency sharing scheme was proposed. Then the quality of 3D building model data were evaluated . The results showed that constructing systematic cross-agency sharing solution will be helpful to promote the rational, standardized and efficient application of Geo-spatial big data.
Research on City Center Identification and Optimization Strategy Based on POI Data——Taking the Four Districts of Qingdao as an Example
Authors: Xie Xudong , Luan Xuezhen , Xue Ying
Published: June 2021

With the help of analysis tools such as mean nearest neighbor, standardized ellipse and kernel density of ArcGIS software, this paper uses POI data to deeply identify and analyze the urban polycentric spatial structure of four districts in Qingdao, and draws the following conclusions: the multi-center layout of the four districts in Qingdao presents five major urban centers with “one principal, two assistants and two clusters”, and a polycentric spatial pattern with strong main center and weak sub-center. In the future urban planning and development, it is necessary to establish a hierarchical and orderly multi-center spatial structure system, strengthen the diversity and complexity of urban central functions, and improve the guidance and support role of transportation for each functional center.
On the Casas-Alvero’ s Conjecture
Authors: Su Jiaxuan
Published: June 2021

As we all know, every derivation of a polynomial that is a nth degree of another polynomial has a common factor with this polynomial. Then, Eduardo Casas-Alvero came up with a conjecture that think opposite with the axiom we just talked before. That is to proof this polynomial is a nth degree of another polynomial if every derivation of this polynomial has a common factor with this polynomial. We are going to use different method to attack this conjecture and prove it when n is small.
RETRACTED: Research on Decentralized Access Control in Big Data Environment
Authors: Liu Nianzu , Ma Weichen , Shen Danjie , Guo Bing
Published: June 2021

With the rapid increase of network data, there are many challenges of security about data sharing in big data environment. The traditional attribute-based access control model generally adopts the centralized method. In the process of practical operation, once the decision node is attacked, the method will bring security risks to data resources. In order to improve the security of centralized access control and adapt to both dynamic and fine-grained characteristics of data access control in big data environment. The decentralized access control method for big data is proposed by combining the blockchain technology with attribute-based access control model.
Research on E-commerce Customer Evaluation System in the Context of Big Data: Taking Amazon as an Example
Authors: Yuelin Xu , Danyang Xu , LiHui
Published: June 2021

Amazon provides the customers an opportunity to assess their purchases. Manufacturers use this data to acquire further insights into the marketing the timing of participation, and potentially successful product designs.

The first step is to preprocess the raw data by detecting outliers and using cubic spline method to complete them and verify the correctness. Then, the data is analyzed in time order, followed by data quantification and visualization. The conclusion is that the comment does affect the star rating.

Finally, as a consultant hired by Sunshine, put forward some suggestions to the company’s marketing director: elaborating the establishment of relevant models, explaining the problems solved by the corresponding models, and summarizing the team’s analysis and results.
Research on the Application Status and Countermeasures of College English Blended Teaching Model under Big Data
Authors: Ding Zhaoxia
Published: June 2021

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Under the background of the development of big data, the mixed teaching mode has been widely used in college English teaching, which can make full use of the advantages of big data and realize the sharing of teaching resources. Especially for the English teaching of science and engineering major, the application of big data can provide students with more opportunities for autonomous learning and practical application, which greatly enhances the English thinking ability, inquiry ability and application ability of college students. This paper analyzes the role of hybrid teaching in college English teaching under big data, probes into the present situation of hybrid teaching, and puts forward the strategy of applying hybrid teaching in college English.
An accurate diagnosis of coronary heart disease by Catboost, with easily accessible data
Authors: Zhang Xiaoyu , Wang Mu , Wei Wei , Xu Yang , Gao Lisheng , Sun Yining , Ma Zuchang , Wang Shijun
Published: June 2021

Coronary heart diseases (CHD) have become the leading cause of death worldwide. Coronary angiography is the “gold standard” for diagnosing this disease. However, the invasive risk and expensive price make it difficult to promote on a large scale. This study was using Catboost to diagnose CHD through simple indicators. 2642 samples, including 717 patients, were collected from 2018 to 2019. 33 features were collected, including demography, anthropometry, questionnaire and laboratory examination indicators. The diagnosis model of CHD was established by using Catboost, random forest and logistic regression. Accuracy and area under ROC (AUROC) were used to evaluate the classification performance of the diagnosis models. In order to facilitate the application, we also set up a simplified model merely based on non-laboratory dataset. Catboost showed the best performance in identifying patients with CHD. The accuracy of Catboost, random forest and logistic regression was 82.5%, 75.1%, 75.8%, respectively, and the AUROC of them was 0.881, 0.837, 0.832, respectively. Age, total cholesterol and family history of coronary heart disease were the three most important risk factors for diagnosing CHD. Catboost also worked best in simplified models with 77.9% accuracy and 0.857 AUROC. The models can contribute to early screening and diagnosis for CHD, which would facilitate the prevention and timely treatment of the diseases.