bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on Artificial Intelligence Robots and Simulation Software in Virtual Training Pendant
Authors: Xiao Gengyi 
Published: June 2021

Abstract
Under the background of artificial intelligence education, the application of RobotArt industrial robot simulation software in university teaching can make teaching “low carbon”, which not only saves training equipment, effectively reduces teaching costs, and greatly improves the learning efficiency of industrial robot programming. The thesis combines virtual simulation technology and practical operation in the training workshop to quickly improve the teaching effect, reduce the hidden safety hazards in the training process, and enable students to quickly grasp the key points of teaching, and at the same time, it can also reduce the teaching difficulty and work of the training teachers.
Statistical Characteristics of the Application of English Human-Computer Interaction Mathematical Algorithm in Online Courses
Authors: Luo Yang 
Published: June 2021

Abstract
In recent years, with the rapid advancement of multi-mode teaching theory, this paper adopts an interactive large classroom method and derives from the interaction of mathematics. In combination with online course optimization, the performance is improved through the use of a multi-mode system and the use of interactivity The principle and empirical formula, and finally through the comparative analysis of mathematical statistics, proved that the human-computer interaction mathematical algorithm has a significant effect, “problem English human-computer interaction mathematical algorithm plays an active role in online courses.
Research on the Characteristics of College Students’ Physical Fitness Database in Mathematical Statistics
Authors: Ji Lei , Dai Donghui , Sun Rui , Sun Weidong , Yu Tianbo 
Published: June 2021

Abstract
With the rapid advancement of database theory, this paper uses mathematical algorithm modeling methods, and derives the mathematical XXX derivation. In combination with Android system optimization, the performance is improved through the use of Java language and MySQL database, and XXX empirical formulas are used. Finally, after AP ’ s continuous dynamic interactive communication and tracking statistical comparative analysis, it proves that the physical fitness database algorithm has significant effects. It shows that the real-time health information and exercise effect of the college student’s physical fitness database can help college students develop long-term exercise habits and health. Plays a positive role.
Research on Location Selection of Pre-warehouses Based on Extended CFLP Model
Authors: Li Cong , Wei Zhenlin 
Published: June 2021

Abstract
The warehousing logistics mode of “pre-warehouse plus terminal distribution” is a decentralized resource allocation scheme around the logistics industry at the end of distribution, supporting the development of New Retail, a data-driven extensive retail form centered on consumer experience. Firstly, taking the stand-alone pre-warehouse as the research object, this paper analyzed the distribution characteristics of new retail fresh goods, the consumption structure of demand and the functional characteristics of the pre-warehouse. Secondly, the extended CFLP (Capacitated Facility Location Problem) model was established with processing fee, freshness loss, time penalty and warehouse service capacity. In addition, the one-to-one distribution relationship between demand point and storage facilities in the traditional CFLP model was changed to many-to-many in order to improve the overall facility utilization. Finally, an improved coding genetic algorithm was adopted to solve the nonlinear mixed 0-1 programming model. Therefore, location, matching and distribution volume were showed at the same time. The results of the example demonstrated that the model gave priority to meet the timeliness and fully utilized the facility capacity.
Clustering framework based on multi-scale analysis of traffic flow time series
Authors: Li Ruifang , Yu Jin 
Published: June 2021

Abstract
Clustering analysis of traffic flow time series can improve the accuracy of traffic flow prediction, which is the basis of traffic planning. The correlations between traffic flow series imply that there are some potential patterns of traffic flow movements. In this work, a clustering framework based on multi-scale analysis of traffic flow time series is proposed to seek these potential patterns. The framework includes the selection of the optimum algorithm, the construction of quantitative indicators to evaluate the clustering effect, and the visual inspection. The experimental results of 24-hour long-term traffic flow time series clustering on large-scale road network in Shenzhen indicate that the model can clearly distinguish different classes of traffic flow time series.
Research on Force Analysis and Path Planning of Flexible Needle Puncture Bending Modelling
Authors: Fan Xiaolei , Yun Jintian , Guo Sai 
Published: June 2021

Abstract
Through the force analysis of the flexible needle puncture process, the corresponding mechanical model is established, and the main factors that cause the flexible needle bending deformation are analysed, and the bending model of the flexible needle puncture process is initially established. By discretizing the bending model, combined with experimental verification, a relatively complete bending model is obtained. Based on the RRT algorithm, the goal guidance algorithm, the optimal path selection algorithm, etc. are proposed, combined with the bending model of the flexible needle, and an improved RRT algorithm suitable for the flexible needle insertion method is established. Through simulation analysis and combined with experimental verification, it is concluded that path planning based on the improved RRT algorithm can bypass important human organs and soft tissues more flexibly, accurately puncture the target position, and achieve relatively safe surgery.
A V2G scheduling strategy based on the fruit fly optimization algorithm
Authors: Han Muyao 
Published: June 2021

Abstract
As electric vehicles enter people’s lives in large numbers, their behavior of disorderly charging and discharging will have a seriously negative impact on the safety and economic operation of the power system. This study proposes an electric vehicle charging and discharging load model under the constraint of joint benefits on the both power supply and demand sides. In this model, we set the minimum variance of grid load peak-to-valley values and the maximum benefit for users as the objective function, and take into account the randomness of electric vehicle starting charging time and duration as well as the grid capacity limitation. The main innovation point is that based on the fruit fly optimization algorithm, it proposes an intelligent orderly charging and discharging strategy with vehicle-to-grid (V2G). Following this, we compare several common charging models for electric vehicles with simulations, and conclude that the proposed optimization model can best reduce the target of peak-to-valley difference in grid load and also charging and discharging costs, thus demonstrating the feasibility and effectiveness of the model and strategy.
Research on Distribution Line Based on Satisfaction and Optimal Algorithm
Authors: Ding Yujiao , Chang Xiangquan , Jiang Baoliang 
Published: June 2021

Abstract
Logistics enterprises attach great importance to customer satisfaction. This paper focuses on customer satisfaction, and innovatively designs the measurement formula of customer satisfaction, which provides a theoretical basis for the construction of the model. In addition, a multi-objective planning distribution route optimization model with fuzzy time window is constructed to further seek the minimum transportation cost and maximum satisfaction. The improved particle swarm optimization algorithm is used to obtain the optimal solution on MATLAB 2018A software. By comparing the original path with the optimal path, the applicability and effectiveness of the model under the condition of customer satisfaction are verified, which provides some reference value for the improvement of other enterprises.
Study of Bearing Model on the Internal Forces of the Wide Bearing Continuous Beam
Authors: Wei Yulu , Shu Xiaoxiao 
Published: June 2021

Abstract
The standingpile has been applied quite extensive in our country, which is one of the three major structure forms of the quay. Take the internal force calculation of wharf track beam in Jiangsu Taizhou for example, this paper studied the bar system finite element method processing method of rigid support and elastic support. Using different bearing support mode to calculate the track beam internal force, the results show that the corresponding internal force of different models has big differences. The negative bending moment and shear force of point support model are large. The effect of support width and elastic support was considered in the continuous beam model of elastic distribution supporting and should be considered prior to other supporting. In the process of similar design, the bearing width can be increased. This is conducive to the uniform distribution of internal force, and make the structure more reasonable.
Research on concrete slump based on discrete element method
Authors: Su Chang , Zheng Xiaokui , Xiong Lei , Zhao Wukun 
Published: June 2021

Abstract
The whole process of concrete slump experiment was simulated with Particle Flow Code 3 Dimensions (PFC3D) software based on discrete element simulation. The simulation results are in good agreement with the macroscopic results obtained from field experiments, indicating that the use of PFC software for concrete had the feasibility of slump experiment simulation. The software simulation results have a good observation on the speed and direction of the particles in the process of concrete slump.
Analysis on the influencing factors of multiple indicators in the United States based on multiple linear regression model
Authors: Bu Jiahui , Tian Yixuan , Zong Yifan 
Published: June 2021

Abstract
The US election will have a certain impact on the US economy. In this paper, different index systems are established to analyze the influence of different factors and American economy. After establishing the index system, this paper will use machine learning regression algorithm to fit the data in recent decades. We choose a variety of models, including ordinary linear regression model, Bayesian ridge regression model, elastic network regression model, support vector machine regression model and gradient enhanced regression model. In this paper, a prediction model based on machine learning is established without considering the epidemic situation. First of all, preprocess the data; secondly, determine the index system; then, based on the regression algorithm of machine learning, compare and select the optimal model for data fitting and prediction; finally, use linear regression to predict the indicators of the next four years.
Research on Grammar Checking System Using Computer Big Data and Convolutional Neural Network Constructing Classification Model
Authors: Sun Fang , Zhang Jing 
Published: June 2021

Abstract
This article proposes an automatic grammatical correction method for typos and word order errors that may occur in Chinese writing by beginners. The thesis first constructs heuristic rules and expands the corpus by analyzing the characteristics of different grammatical error types in the data set. Secondly, when the paper uses classification methods to detect grammatical errors, it extracts sentence-level binary and ternary part-of-speech combinations, n-gram models based on part-of-speech statistics and other three types of features to construct single classification and ensemble classification models, and then use convolutional neural the network constructs classification models from different angles. Finally, when the paper adopts the method based on sequence labeling for grammatical error detection, it mainly uses dependency syntax tree features, and realizes grammatical error detection by constructing a conditional random field model. This method can automatically detect grammatical errors while also identifying the sentence the location of the error. On this basis, the paper implements a simple Chinese grammatical error automatic detection system, which can provide help for the optimization of questions and answers in the question-and-answer system
Research on Taxi Operation Characteristics by Improved DBSCAN Density Clustering Algorithm and K-means Clustering Algorithm
Authors: Jian Saisai , Li Dongyi , Yu Yaqi 
Published: June 2021

Abstract
With the development of urbanization, the problem of urban traffic congestion is becoming more and more serious. An improved k-means clustering algorithm was proposed to solve the problem that the traditional k-means clustering center could easily be affected by the clustering center and fall into the local optimal solution. Based on the big data of New York City taxis, the operational characteristics are analyzed. The experimental results show that the improved K-means clustering algorithm has a better clustering analysis effect in terms of hot demand for taxis.
Analysis and construction of a parabolic rotor profile for Roots vacuum pumps
Authors: Li Zhengqing , Yang Shengsheng , Wang Xiaojun , Yuan Yafei 
Published: June 2021

Abstract
Rotor profile is a critical factor affecting the performance of Roots vacuum pumps. Hence, research on rotor profiles of Roots vacuum pumps is important. The rotor profiles are mainly composed of arcs, involutes, cycloids, epicycloid, and combined curves. Moreover, the two rotor profiles form a pair of conjugate curves. To obtain a parabolic rotor profile, transformations of three coordinate systems are established to derive equations and analyze the parabolic curve and its conjugate curve. Additionally, the parameters of the parabolic rotor profile are discussed to determine their ranges and the relationship between the performance of a parabolic rotor profile and the independent parameters. The results indicate that the area efficiency of the parabolic rotor profile is greater than the area efficiency of the arc rotor profile for the same ratio of the top circle radius to pitch circle radius.
Research on Prediction Accuracy of Mathematical Modeling Based on Big Data Prediction Model
Authors: Guo Rui 
Published: June 2021

Abstract
At present, people’s food demand in the late stage of the new coronavirus is affected by many aspects and various factors, and the current prediction method is affected by redundant data, which leads to poor accuracy of the prediction results. In addition, in order to prevent the mismatch between food supply and demand in the event of major health events, the prediction model was selected in the big data environment and the prediction accuracy of the mathematical model was studied. Through the improvement of various prediction models and the comparison of prediction accuracy, it is found that the improved grey Verhulst has higher accuracy and is more suitable for short-term prediction.
Analysis of Regional Differences in Technological Innovation Based on Principal Component Distance Weighting Algorithm and FCM Algorithm
Authors: Yue Mingrui 
Published: June 2021

Abstract
In this paper, first of all, the optimal FCM algorithm was used to classify the economic development level of each sub-region. Secondly, the principal component analysis method was employed to comprehensively score and rank the economic development level of each sub-region. Thirdly, based on the classification and ranking, the differences in regional economic development were analyzed. Taking the economic disparities of western provinces as an example, the research showed that this algorithm could effectively comprehensively analyze the economic development disparities of western provinces and well reflect the characteristics of economic development of each province. Therefore, it was an improved and feasible method for analyzing the differences in economic development level of sub-regions within a large region.
Spatiotemporal distribution analysis of Vespa Mandarinia based on GM model
Authors: Dai Yutong , Wang Hanjing , Yang Yuer 
Published: June 2021

Abstract
As a natural enemy of the European honeybee, the Chinese great steller’s wasp can have a serious impact on local bee populations, so they are considered an agricultural pest. After the emergence of these pests, countries must decide how to prioritize their limited resources for follow-up investigations. In this paper, a model was established to predict the emergence of wild silkworm, which could be used to provide strong support for pest management. when predicting how pests spread over time, we built a GM model to predict the spread of Vespa mandarinia from the spatial and temporal distribution. When predicting the geographic location of Vespa mandarinia, we set up a two-dimensional GM model using longitude and latitude as two variables to predict the longitude and latitude of the next Vespa mandarinia. At the same time, when predicting the occurrence time of Vespa mandarinia, we formed a sequence of the annual 12-month report times of previous years, and still used GM model for data processing and prediction.
Research on the Application of Physical Properties of Optoelectronic Films in Passive Devices for Optical Communications
Authors: Lu Jing 
Published: June 2021

Abstract
Thin films play an important role in modern science and technology. With the development of optical fibre communication technology and laser technology, thin films are used more and more widely in this field. The application of optical film in optical communication and laser technology is introduced systematically. The application of optical films in optical communications basically covers a variety of conventional optical films. Based on this research background, the paper mainly analyses the optical and physical properties of zinc oxide nano-films and discusses its application in optical communication.
Analysis and prediction of China’s future pension industry based on fitting algorithm and BP neural network
Authors: Wu Lijie , Cao Yuhan , Zhang Zixi 
Published: June 2021

Abstract
In this paper, we analyze and forecast China’s future pension industry. We first use the fitting algorithm to predict the number of elderly population in the future. Then BP neural network is used to predict the willingness of the elderly at all levels to stay in pension institutions, and then the market demand scale of the number of elderly service beds in China in the future is obtained. Finally, we get that in 2023, the demand for elderly care beds in China is expected to reach 16.7 million, and urban beds will dominate, accounting for 86.83% of all beds.
Ti-doping of hematite films with multilayered particle size distribution by magnetron sputtering
Authors: Demirov A P , Sergevnin V S , Volkhonskii A O 
Published: June 2021

Abstract
α-Fe2O3 films with a layered distribution of nano and submicron particles were synthesized and Ti-doped successfully. Morphology, element and phase composition, electrochemical properties of one-layered, multilayered, and Ti-doped films were investigated. Doped multilayered hematite films have higher catalytic water oxidation efficiency than both undoped films.
Si-containing diamond-like carbon coatings to improve the wear resistance of solid ceramic end mills
Authors: Grigoriev S N , Volosova M A , Fyodorov S V , Mustafaev E S 
Published: June 2021

Abstract
The study’s purpose is to determine the rational Si content in the DLC-Si external layer of (CrAlSi)N/DLC-Si coatings deposited on α/β-SiAlON + TiN ceramics. The influence of Si content on physical and mechanical properties of coatings such as microhardness, modulus of elasticity, and friction coefficient, and wear resistance of solid ceramic end mills in machining nickel alloy NiCr20TiAl is determined.
Study of the adhesion of metal coatings on synthetic textile materials
Authors: Karnoukhov A E , Timoshina Y A , Voznesensky E F , Sysoev V A , Krasina I V , Tikhonova N V 
Published: June 2021

Abstract
This paper is devoted to the study of the adhesion of metal coatings on synthetic textile materials based on polyester, polyamide and polypropylene. The metal coating was applied to the surface of textile materials by magnetron sputtering. To assess the adhesion of the metal coating to the substrate, the method of delamination testing using a tape with constant stickiness was used.
Electro-physical properties of porous anodic alumina films for sensitive elements of MEMS
Authors: Korobova N E , Batalova M S , Alpysbayeva B E 
Published: June 2021

Abstract
The results of a comprehensive study of porous alumina film electrical properties obtained by anodizing in acid electrolytes have been presented. The relationship was established between the structure of oxide films, the mechanism of their formation, as well as physicochemical characteristics. A targeted effect on the microstructure of the films made it possible to control their properties by varying the technological parameters without a radical change in the method. This made it possible to predict the behavior of nanostructures and properties for sensitive MEMS elements.
Hydrophilization of the polyethyleneterephthalate ion track membrane surfaces
Authors: Melnikova G B , Salamianski A E , Korolkov I V , Tolstaya T N , Akulova V M , Chizhik S A , Zdorovets M V , Muslimova I B , Kotov D V 
Published: June 2021

Abstract
Results of polyethylenterephtalate ion track membranes hydrophilization by (Chytozan/Dextran)4 multilayers with using Layer-by-Layer method and by Nafion monolayer with using Langmuir – Blodgett and spin-coating methods are presented in articles. The structure, contact angles and polar component of specific surface energy of modified membranes has been researched.
Pulsed methods of thin film coatings deposition
Authors: Panfilov Y V , Gurov A V 
Published: June 2021

Abstract
The most known methods of pulsed thin film deposition such as magnetron sputtering HIPIMS, pulsed laser deposition PLD, vacuum arc pulsed deposition, high-intensity pulsed ion beams deposition HIPIB, as well, were described and analysed. It was shown that the stream of material, generated by means of a pulsed action, impacts to substrate and creates preconditions for nanocrystalline amorphous coating manufacture with superhigh hardness.
Electrochemical stability of nitride coatings for a steel – carbon fiber tribopair under conditions of imitation of a marine environment
Authors: Sergevnin V S , Anisimov A V , Chernogor A V , Voklhonskii A O , Demirov A P , Lishevich I V , Sobolev M Yu , Kayamutdinov Sh D 
Published: June 2021

Abstract
The paper presents the results of comparative studies of TiCrNiN and TiCrMoNiN coatings deposited on X20Cr13 steel used in the manufacture of bearings for friction units of ship mechanisms operating in a friction pair with carbon fiber reinforced plastic. Using of the investigated coatings significantly improves the resistance of the product to corrosion in seawater.
Deposition of AlMgB14 films by sputtering in a non-self-sustained high-frequency discharge
Authors: Shugurov V V , Akhmadeev Yu H , Zhukov I A , Nikitin P Yu 
Published: June 2021

Abstract
The paper presents the method of plasma-assisted deposition of AlMgB14 films in a discharge system that consisted of a large volume gas plasma generator with a thermionic and a hollow cathode. An electrode with a BAM powder was placed in plasma. High-frequency voltage of 13.56 MHz was applied to the electrode with a BAM powder. In contrast to traditional RF magnetron deposition, the use of the discharge system made it possible to significantly increase the deposition rate for BAM films and reduce the pressure of the working gas. The modes of plasma generation and the properties of the films were investigated.