bluuebunny/crossref_metadata_2025_split huggingface dataset:
Mechanical Automation Design and Manufacturing Based on Artificial Intelligence Technology
Authors: Han Tianrong , Xu Yeqin 
Published: April 2021

Abstract
The development of mechanical design and manufacturing and automation engineering is not only an effective support to realize the goal of China’s industrial power and improve the gross national product, but also can improve the people’s living standards and provide the production basis for the current social development. The development of artificial intelligence can promote the degree of mechanical automation. In order to better distinguish the influence of artificial intelligence technology on mechanical design and manufacturing, we selected 30 students from mechanical college and equally divided them into two groups. Group A students used traditional mechanical design and manufacturing method to carry out experiments, while group B used artificial intelligence on this basis be able to design and manufacture machinery. With the development of experiment time and progress, we found that there was a big difference between the two groups of students. The experimental results show that when the mechanical manufacturing reaches 30%, the waste rate of group A is 0.4%, and the waste rate of group B is 0.2%, saving 0.2%. When the manufacturing progress reaches 50% and 70%, the waste of resources in group B is 0.3% less than that in group A 5% in group A and 1% in group B, saving 0.5%. Thus, the use of artificial intelligence technology can not only improve the manufacturing efficiency of mechanical manufacturers, but also reduce the waste of resources, which has a profound impact on the rapid development of mechanical design and manufacturing.
Data of E-Commerce Users Based on Data Mining Technology
Authors: Qing Haohua , Zhang Jiali , Fu Die 
Published: April 2021

Abstract
With the rapid development of information technology, the rapid development of e-commerce Internet has been involved in every corner, resulting in the growth of the data volume of e-commerce users. This paper mainly studies the data analysis of e-commerce users based on data mining technology. This paper introduces the research background and significance of e-commerce user behavior. On this basis, relevant technologies of e-commerce user behavior analysis are studied, including components of Spark platform and classification algorithm of relevant user behavior analysis model. Then, the advantages and feasibility of the improved model are verified through comparative experiments between the improved Spark XGBoost model and traditional machine learning method. The study in this paper provides a parallel method for the prediction of e-commerce user behavior, which can be applied to daily life as an effective method to predict e-commerce behavior.
Cross-border E-commerce Course Construction Based on Data Mining Algorithm
Authors: Deng Jianghua , Qing Haohua 
Published: April 2021

Abstract
In recent years, Cross-border(CB) e-commerce(EC) has developed rapidly in our country, and the government has also introduced a series of measures to promote the development of CB EC. In the era of big data, recommendation systems are widely used in CB EC platforms, and more and more attention is paid to its personalized recommendation technology. Based on this, this paper studies the application of data mining algorithms in the construction of CB EC courses, which has certain guiding significance for the current market and enterprise development. By taking two CB EC companies as the research object, this paper uses data mining algorithms to mine and analyze the relevant data of these two EC companies, and find that a platform with a data mining system has more advantages in researching customer shopping preferences;comparing people’s satisfaction with EC companies with data mining systems and traditional companies, 83% of the participants in the experimental group were satisfied, of which 60% were very satisfied, while only 59% in the control group of people are satisfied.This shows that data mining algorithms are of great significance to the development of CB EC, and it also points out a new direction for the construction of CB EC courses, such as CB EC based on data mining algorithms. On the one hand, this will also play a positive role in the future development of CB EC.
Application of Data Mining Technology in the Analysis of E-commerce Emotional Law
Authors: Zhang Shuyue 
Published: April 2021

Abstract
The rapid development of the Internet has brought opportunities for enterprises. Data mining is becoming more and more important in e-commerce websites. In e-commerce, data mining is helpful to discover the development trend of the industry and help enterprises make correct decisions. This paper summarizes the current data mining methods of e-commerce, describes the application of e-commerce website in some data mining applications, classifies its objects, and analyzes the functions of network data mining. It is an important tool to support the experimental research and design of e-commerce system oriented to emotion. The technology of Intelligent Emotion Recognition Based on modern mathematical model and the simulation model of emotion oriented intelligent e-commerce system based on computational intelligence are proposed. For the future of e-commerce practice to provide a reference, especially the development and application of software. The progress in this field is outstanding.
RETRACTED: Innovation Strategy of Film and Television Creation under the Background of Big Data
Authors: Chen Dan , Yang Fan 
Published: April 2021

Abstract
With the advent of the information age, the role of knowledge resources in modern social production is expanding. In today’s era, people have mastered a variety of information storage, processing and query methods, thus greatly expanding the scope of automation. At the same time, people have higher and higher requirements for the film and television drama, not only for the rich content and plot, but also for the actor’s acting skills. Through big data, we can analyze the types of movies popular with the public, so that the market can create films and TV programs according to their favorite degree of movies. Based on this, this paper analyzes the current situation of China’s film and television drama, combined with the background of the era of big data, studies the innovation of film and television creation. In this paper, a questionnaire survey is conducted to analyze the 10 most popular Chinese movies on Douban in 2019. The experimental results show that the public agree with the film quality in 2019. At the same time, among the favorite film types, the public’s love for inspirational movies and TV plays was the highest, reaching 86%, followed by social ethics drama with 84%, and youth idol drama with the lowest love rate of only 52%.
Power User Sensitivity Analysis and Power Outage Complaint Prediction
Authors: Ding Jiahan , Shi Yunchao , Zhu Ruiqian , Wei Xiaoxiong , Chen Bo , Yu Jianfeng 
Published: April 2021

Abstract
The sensitivity of power users is an important basis for improving the quality of power customer service and refining customer service content. In order to improve the accuracy of power user sensitivity classification, this paper optimizes and improves the decision tree algorithm based on the ant algorithm, builds a power user sensitivity analysis model, and verifies its effectiveness with simulation experiments, which provides a more powerful data reference for improving the quality of power user services and other tasks. Based on the analysis of the sensitivity of power users, combined with the analysis of related characteristic data of power outages, this paper predicts the probability of power user outage complaints, hoping to provide data reference for improving power user satisfaction and reducing power outage complaints.
Research on Tower Bolt Identification Technology Based on Convolution Network
Authors: Ge Liang , Xu Jing , Wu Xiao Lin , Hou Rong Jin , Shi Chang Jun , Jia GaoYi 
Published: April 2021

Abstract
Aiming at the fact that tower bolts are easily affected by factors such as occlusion during the identification process, an improved FasterR-CNN bolt identification method is proposed. In this method, in view of the small size of the detection target and the low resolution of the image, a residual network is added to the traditional FasterR-CNN to improve the efficiency of image recognition. Finally, the above scheme was proved through verification. The result shows that the above method is feasible.
Genetic Algorithm-Based Power System Information Security Risk Assessment Method
Authors: Huang Fangneng , Yong Mei , Jian Zhou 
Published: April 2021

Abstract
With the innovation and application of new-generation information technologies such as cloud computing, Internet of Things, and mobile Internet, the importance of information security issues has become more prominent. As an important industry linking people’s livelihood, the electric power industry will affect the safe operation of electric power once an information security incident occurs, and even lead to a large-scale blackout. Therefore, studying the information security risk assessment model of electric power enterprises has important theoretical value and practical significance. The purpose of this paper is to study the method of power system information security risk assessment based on genetic algorithm. This paper establishes a security risk quantification model, determines the operating parameters of the genetic algorithm in specific operations based on some literature cases, and compares the results in the literature with those in this paper. Based on a large number of investigations and interviews, this paper conducts research on information security risks, comprehensively considers the threats and vulnerabilities of the system, and analyzes the important impact of information security risks from the internal management, personnel, technology, and systems of electric power enterprises. Factors, the establishment of a power enterprise information security risk evaluation index system, this paper obtains data from actual system evaluation cases, uses multiplication, matrix method, and the genetic algorithm proposed in this paper to calculate the risk quantification model calculation results, and verifies the genetic algorithm the rationality and feasibility of combining with risk assessment, this method has practical application value. Experimental research shows that the risk value calculated by the genetic algorithm based on the risk quantification model proposed in this paper is more than 70% similar to the results calculated by the multiplication method and the matrix method, which proves that the model and calculation method established in this paper can be used. Applied to the specific evaluation implementation process.
Application of Intelligent Information Technology in the Reform of Hybrid Teaching Courses in Colleges and Universities
Authors: Huang Yanyan , Yao Jinxiu , Huang Guanhang 
Published: April 2021

Abstract
With the rapid development of information technology and the deepening of teaching information reform, hybrid teaching is becoming the focus and development direction of current higher vocational education reform. By integrating network information technology into traditional classroom teaching, hybrid teaching overcomes the shortcomings of traditional classroom teaching, gives full play to the advantages of information technology, and improves the quality of teaching. According to the characteristics of Modern educational Information and Technology course in higher vocational colleges, this paper studies the teaching reform of online and offline Modern educational Information and Technology. 50 questionnaires were sent out and the results were analyzed.
Analysis of Internal Threat Detection Methods of Power Grid under the Characteristic Cloud Computing Model
Authors: Li Jing , Huang Jie , Liu Fen 
Published: April 2021

Abstract
Advances in science and technology are driving the development of society, and with the development of society, our power grid coverage has become more extensive, which has solved the power supply problem in most parts of the country. As an important infrastructure of the country, the safety and nursing work of the power grid industrial control system is very important. However, the increase of coverage makes the maintenance and management of the power grid itself more difficult, and the internal threat of the power grid can not be ignored. To get a clearer understanding of the methods and patterns we use in terms of threats within the grid, this article will analyze the objects we are studying us using cloud computing simulation methods, and then analyze the results of the data. The experimental results show that the detection method of internal threat of power grid is still in the preliminary stage of development in our country.
Research on Automatic Labeling of Contact Profiler Based on Big Data
Authors: Li Qing 
Published: April 2021

Abstract
This article mainly studies the problem of labeling various parameter values of the contact profiler. The contour size of the instrument is analyzed by the least square method for the mathematical theory, and the data analysis information of each line and arc is established based on the background of big data. As a result, the corresponding mathematical model is established to realize the labeling of outline dimensions. First, perform precision processing on the horizontal data of the workpiece, use Excel software to make a scatter diagram, use the difference method to quickly search and locate the special inflection point coordinates, borrow these feature points to obtain the dimension of each data in turn, and combine the equations of straight lines and circles Find out the width and radius of the notch, find out the various indicators in turn, and finally sort and summarize them through the table. Next, the tilt data and the original data given for the workpiece are represented by a scatter graph. Using coordinate rotation and translation, the tilt angle is 7°24’59” clockwise and the radian is -0.13017. Compare the two sets of data After the difference, finally use segmented fitting to carry out horizontal correction.
Based on Grey Correlation Theory and BP Neural Network Model Algorithm, the Construction of the Ideological and Political Education Evaluation System of New Media in Colleges and Universities
Authors: Lu Chunyan 
Published: April 2021

Abstract
Every university today has its own new media management system. They manage the school’s microblogs, shaking, fast hands. The official account number of each platform, such as Beep Mile. However, with the intricacies of network information and the advance of the times, we should be alert to the influence of the color revolution, believe in the spirit of the red revolution, and promote the development of patriotism education. To this end, we need to make a better promotion of the socialist spirit and Xi Jinping’s new eraist development spirit in colleges and universities. In this regard, the purpose of this paper is to use gray correlation theory and BP neural network model algorithm to build a new media ideological and political education evaluation system. We fully protect the privacy of each teacher and student in order to get a real degree of ideological awareness, using gray correlation theory and BP neural network model algorithm to construct the system. Use anonymous whistleblowers and anonymous mailboxes to point out our political problems in order to better promote the construction of the system. The results show that there are about 20% of the students. Show that you don’t know enough about patriotic teachers. And said he will self-strengthen patriotism education in the future, believe in the Party and the country.
Construction and Effect Evaluation of Roaming System Based on Big Data
Authors: Wang Jingshuang 
Published: April 2021

Abstract
With the rapid development of science and technology, people’s living standards are slowly improving. Simple material conditions can no longer meet people’s spiritual needs. People use various methods to obtain spiritual and soul satisfaction. Therefore, Internet products gradually penetrate the public. There are no exceptions in all aspects of life, such as work, study, making friends, and entertainment. However, there are very few animation products, which cannot meet the strong needs of the majority of animation fans. Due to the popularity of the Internet and economic development, traditional economy is no longer the main way for consumers. In order to meet the individual needs of consumer groups, the animation industry will provide diversified and customized needs. The later development trend in this area is also animation. The industry’s indispensable and main development direction is to integrate everyone’s different hobbies and personalities into the animation industry, and develop an animation system with simple pages, rich functions and diversified content.
Research on Biomechanical Application of Fracture Reduction Fixator Based on Finite Element Analysis
Authors: Wu Kai , Ma Jianxiong , Du Yuren 
Published: April 2021

Abstract
This article uses CAXA 3D solid design software to model the fracture reduction fixator, and assemble the model according to the requirements of clinical medicine. Obviously apply 50N, 100N, 150N, 200N axial load to the model, and obtain the relationship between axial load force and displacement. The stiffness of the model calculated by SPSS23.0 statistical analysis software is 88.5N/mm. The stiffness of the fracture reducer measured by the biomechanical model was 85.4N/mm, and the ratio between the two was 1.037, which was within the error range. Prove that the model and calculation method established in this study can provide reference for clinical medicine.
RETRACTED: Research on Innovation of Ideological and Political Teaching Mode for Chemical Engineering Courses Based on Big Data Technology
Authors: Xia Haoyun 
Published: April 2021

Abstract
Aiming at the current application of big data technology, this paper proposes a micro-video-based ideological and political teaching and learning system for chemical engineering courses. In order to realize the system, relying on the course of “Light Chemical Equipment and Design”, part of the main content of the micro video is designed, and the ideological and political content is run through the entire course; Then, design the system network topology, client and server functions, and finally deploy the system on the Alibaba Cloud server, and design an evaluation method to explore the application effect of the system.
Design of Multi-mode Heterogeneous Fusion Terminal for Power System
Authors: Xiao Yunjie 
Published: April 2021

Abstract
With the increasing demand of users and power supply quality in the power grid market, this puts forward higher requirements on the power system. However, the traditional power system has many limitations. People need to be able to upgrade on the basis of the traditional power grid to adapt to changing requirements. The purpose of this paper is to study the design of multi-mode heterogeneous fusion terminal in power system. This article is based on two wireless network technology solutions, GPRS wireless public network and LTE-230 wireless private network, a hardware development platform with STM32F107VCT6 microprocessor as the core, and a μ C/OS-III embedded real-time operating system software development platform, has designed the multi-mode heterogeneous fusion terminal of the electricity information collection system. This article deeply analyzes the demand for multi-mode heterogeneous fusion terminals of the electricity consumption information collection system, which is mainly used for the collection of electricity consumption information and the marketing and distribution automation management of power services; then it analyzes the work of the GPRS network and the LTE-230 network Principle and network system structure. This article designs the communication driver and application program, and analyzes the software architecture in detail. According to the logic processing structure of the internal data of the multi-mode heterogeneous fusion terminal, this article designs the data forwarding process in detail. In this paper, protocol conversion test, interface test and communication test are carried out on multi-mode heterogeneous fusion terminal. The test results show that when the system buffer K is 2 or 4, that is, if the average size of each message in the system is 100 Bytes, and the buffer is set to 800 Bytes, the system loss rate will approach zero.
Research on Smart Learning System Model
Authors: Xu Jian 
Published: April 2021

Abstract
With the development of computer science in our country, more and more intelligent products appear in people’s daily lives, bringing convenience to people’s lives. In the education industry, an intelligent learning system has also emerged. After learning the relevant knowledge of the construction of the intelligent learning system and the Apriori algorithm, this article builds the intelligent learning system based on the Apriori algorithm, and take the university physics department as an example to study and analyse the function and realization of the system.
Research on Information Encryption Algorithm under the Power Network Communication Security Model
Authors: Yang ChunYan , Ling Ying , Li Xin 
Published: April 2021

AbstractWith the continuous development of current high-tech, network communication is quickly popularized in power automation monitoring systems, and colleagues have also brought many hidden dangers in communication security. This paper proposes a model that adapts to the security of power network communication. Based on the information encryption algorithm, this model can fully guarantee the security of both ends of the data transmission and can be applied to other network communication modes. Based on the power network communication security model, this article can use high-strength information encryption algorithms to encrypt data in the network to prevent the data transmitted in the network from being stolen or modified. The power network communication security model studied in this article mainly includes information encryption and decryption algorithms, client environment, and an SSL-based information encryption transmission protocol. Through analysis, it can be understood that the encryption and decryption algorithm is to perform MD5 transformation on key data and key strings, and the other is to use DES as the encryption algorithm before transmission. The experimental research results show that in the construction of power network communication, the power communication network is one of the most basic facilities in the development of the power grid. It is necessary to ensure the safety and economic operation of the power grid, and to improve the information level of the power grid enterprises and the network security protection system.
Research on SVM Remote Sensing Image Classification Based on Parallelization
Authors: Yang Qiuhong 
Published: April 2021

Abstract
With the development of technology, the feature dimension and data volume of remote sensing image classification have increased rapidly. However, when remote sensing image classification based on support vector machine (SVM) is used for large-scale data calculation, there are significant limitations in training time. This paper focuses on the parallel processing method of support vector machine (SVM). Based on the popular hybrid parallel support vector machine, a hybrid parallel support vector machine based on sample cross combination is proposed, and carried on the simulation experiment analysis in the stand-alone environment.