bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on the Role of Computer in the Management of Books and Reference Materials
Authors: Shi Rong 
Published: August 2021

Abstract
With the development of network, computer has been applied to all walks of life, such as library management. Through the computer, the library can automatically manage all kinds of books and documents, which can constantly innovate the management system. By promoting the innovation of library management, we can improve the quality and efficiency of library management, which will realize the informatization and modernization of library management. Through modern management, the library can meet the reading needs of the public, which will better meet the public service. With the advent of the era of big data, the traditional book management is no longer suitable for modern library management, and network resources have become the main direction. Therefore, we must comply with the development of the times in order to better inherit knowledge. Therefore, the computer has an important role in the management of books and materials, such as changing the management concept, breaking the traditional reading habits, improving the efficiency of library management. First of all, this paper analyzes the necessity of library information management. Then, this paper analyzes the function of computer information. Finally, some suggestions are put forward.
Research and analysis of Computer Modernization in the Integration of Chinese Education in Education of Chinese Characters in Southeast Asia
Authors: Zhang Bei , Hu Wenbin 
Published: August 2021

Abstract
With the development of global economic integration, Chinese language education has attracted more and more overseas scholars, and we also put forward higher requirements for Chinese character education. In this paper, the general situation of the teaching of Chinese as a foreign language and the deficiencies of the current teaching of Chinese as a foreign language are explained, and combined with the Chinese education in Southeast Asian countries computer education Chinese teaching modernization development to discuss, for the reference of readers.
On the Innovation of College Physical Education Teaching Mode under the Computer Multi-media Environment
Authors: Guan Jinghong 
Published: August 2021

Abstract
Many students are in poor physical condition now. Although students’ academic performance is very good, the school should also find ways to help them improve their physical quality. Therefore, physical education has become a hot topic in the field of education. Nowadays, physical education in many universities is irregular. They don’t have a complete teaching model of their own. This leads to students in physical education class can not learn professional knowledge. The improvement of students’ physical quality cannot be guaranteed by professional knowledge. In recent years, the application of multi-media technique in the field of teaching is a new breakthrough in education mode [1]. Researchers believe that the combination of multi-media technique and physical education will greatly improve the effect of physical education in universities. This paper briefly analyzes the current situation of physical education in universities. In this paper, the implementation of multi-media teaching mode in universities is described.
Research on Computer Application and Cultivation of Scientific Thinking Ability
Authors: He Yong 
Published: August 2021

Abstract
With the development of information technology, computer teaching has become an important part of college education. To improve the computer application and scientific thinking ability is conducive to improving the quality of computer teaching. This paper firstly explains the significance of the application of computer science and technology in computer education and the main problems existing in computer application teaching. At the same time, it studies the application of computer and the cultivation of thinking ability in basic computer education for the reference of readers.
RETRACTED: A Brief Analysis of the Reform of British and American Literature Education Mode Based on Artificial Intelligence
Authors: Deng Yun 
Published: August 2021

Abstract
With the development of society and progress, the computer technology has been widely used to the life of people, now fairy many teaching using multimedia technology, British and American literature course makes students’ compulsory course for English majors, for students to British and American literature, oh sister have a vital role to improve your English, multimedia technology has been widely applied to the British and American education mode, education technology in British and American literature play a crucial role in the education reform, the application of multimedia teaching, make the British and American literature course more vivid, more effective.
Research on the Application of Computer Technology in Food Safety Traceability System
Authors: Wang Yinan 
Published: August 2021

Abstract
At present, food safety incidents occur from time to time, which reveals that the food safety traceability system has some outstanding problems and phenomena, such as low credibility of information transmission, large distortion in the process of information transmission and circulation. It is urgent to build an effective food safety traceability system. Based on this, this paper first analyses the value and role of food quality and safety traceability system, then studies the value and role of food quality and safety traceability system, and finally gives the specific utilization; of computer tech in food safety traceability system.
Research on the Computer Digital Construction of Ecological Architecture
Authors: Zhou Feng 
Published: August 2021

Abstract
The concept of “arcoloy” appeared as early as the 1960s, but there is no unified concept and definition of this Building type in the academic world, but there are many different terms, such as Green Building, Ecological Building, Sustainable Building, and so on. The first International Conference on Sustainable Building (ICSC) defined sustainable building as “the creation and responsible maintenance of a healthy built environment based on efficient use of resources and adherence to ecological principles”. Although this definition is not perfect, it can be seen that the core of ecological architecture lies in reducing the impact on the natural environment. First, it reduces the direct consumption of natural resources and the discharge of pollutants. The second is to reduce energy consumption, thereby indirectly reducing the consumption of natural resources.
Study on the Application of Intelligent Robot NC Technology in Machinery Manufacturing
Authors: Yuan Jianbo 
Published: August 2021

Abstract
Intelligent robot numerical control technology is more and more widely used in mechanical manufacturing, and its role in mechanical manufacturing is becoming more and more important. In mechanical manufacturing, the application of intelligent robot numerical control technology has greatly improved the efficiency of mechanical manufacturing, and also better guaranteed the quality of mechanical manufacturing. Based on this, this paper expounds the basic concept and advantages of intelligent robot numerical control technology, and then makes a simple analysis of the application of intelligent robot numerical control technology in mechanical manufacturing, such as macro-program, off-line operation of programming, laser detection technology, planning trajectory.
Reliability Analysis of Optical Path Automatic Protection Switching in Ubiquitous Power Communication Network
Authors: Shang Li , Yuan Xinyu , Zhang Zhiqin , Li Yingmin , Nie Shengyang , Li Zhaofeng 
Published: August 2021

Abstract
The reliability of power communication network plays an important role in the safe operation of ubiquitous power communication network. In this paper, the reliability model of power communication system is established by adopting the idea of hierarchical modeling. To begin with, the top-down decomposition method is used, the typical distribution network communication system is decomposed into terminal layer subsystem, access layer subsystem, substation communication layer subsystem and master station control layer subsystem. Next, the parameters such as mean time to failures, mean time between failures, mean time to repair and other parameters are used to evaluate the reliability of basic communication products. The reliability of each subsystem is evaluated by non redundant system, complete redundancy system, partial redundancy system and by-pass system; Finally, The bottom-up synthesis method is used to evaluate the reliability of the whole network according to the topological structure of the system. The reliability analysis method proposed in this paper provides a theoretical basis for the reliability evaluation method of power communication network.
Research on Data Acquisition and Sharing Methods Under Power Demand Side Management Based on Big Data Mining Analysis
Authors: Yang Zhaoguang , Jiang Mingjun , Wang Linxin , Wang Xiaolong , Shao Juan 
Published: August 2021

Abstract
Nowadays, China’s power demand system reform has gone through many stages. With the rapid growth of China’s population, China’s power demand is also increasing rapidly. After experiencing the heavy pressure growth period, the power system really provides us with great convenience. However, it will also bring a lot of bad problems. In order to solve these problems, we must innovate the electric power industry [1]. Data acquisition and sharing in side management mode is the basic part of power demand management. Nowadays, the development of big data has gradually become prosperous. Many experts believe that data mining can be used to support data acquisition and sharing of power side management. This paper briefly summarizes the theory of power big data and power side management. On this basis, this paper proposes a data source and data sharing model based on data mining.
Discussion on the Application of New Thermal Insulation Materials for Power Batteries of New Energy Vehicles Based on Computer Analysis
Authors: Zhu Ligui 
Published: August 2021

Abstract
With the widespread use of battery insulation systems, there are many optimizations for the size of the battery space in the box, the arrangement and combination methods, but there are few optimizations for the design of the battery inlet and outlet. This paper analyzes the battery insulation materials, builds a power battery heat generation analysis model, and analyzes the battery air outlet angle flow analysis, the air inlet angle material comparison analysis, and the FLUENT software is used for numerical simulation analysis to obtain the overall smooth characteristics and partial Flow rate and temperature distribution range. Finally, through the analysis of the experimental results, it can be known that for batteries with the same structure, the use of battery insulation materials can effectively improve the battery performance and extend the service life.
COVID-19 and Pneumonia Recognition based on Data Augmentation and Transfer Learning
Authors: Li Zhe 
Published: August 2021

Abstract
Up to now, COVID-19 has been diagnosed in the world as many as about sixty million, which has caused tremendous pressure and burden to hospitals and medical systems. The number of chest X-rays required to be reviewed by doctors of relevant specialties is more than ever before. Besides, in the process of recognition, there are many difficulties for human identification of chest X-ray images, such as the naked eye is difficult to find tiny abnormalities, the chest X-ray images researchers have is limited and doctors is unfamiliar with this new disease. In this case, it is very necessary to use deep learning to help doctors diagnose pneumonia and solve some urgent difficulties. In the field of deep learning, transfer learning focuses on saving solution model of previous problems, and takes advantage of it on other different but related problems. Therefore, we can use the existed Imagenet model to help us train the dataset of COVID-19 and pneumonia. Moreover, deep learning depends on a large amount of data, but when the data is few, data augmentation is able to increase data by some methods, so it is a effective way to overcome the lack of train data. In terms of the good function of these two ways, we use them to improve performance and help doctors improve diagnosis so as to relieve the current tense medical situation.
The Application of Artificial Intelligence Technology in Sports Competition
Authors: Zhang Jianhua , Li Dan 
Published: August 2021

Abstract
In order to respond to the call of the country to build a strong sports country, the workers in the sports industry should speed up the pace of sports development. Artificial intelligence is a high-end industry, but also a key technology to guide the construction of sports power. Artificial intelligence technology can not only help social development, but also help human autonomy and self-reliance development. The combination of artificial intelligence technology and sports has been common, the future application scope will be more and more extensive, the integration will be deeper and deeper, this paper takes the sports competition as an example, This paper briefly analyzes the application advantage and application status of artificial intelligence technology in sports competition.
RETRACTED: Comparative Chinese and American Mother Tongue Teaching Materials Based on Big Data Technology
Authors: Zheng Yaqin 
Published: August 2021

Abstract
Cultural education has always been regarded as the most important part of the development of a country and society. Education is a topic that people have been exploring. Mother tongue is the first language that people learn in the world. Learning mother tongue has always been important for learning other subjects. It is an important foundation. Since the 21st century, with the development of the Internet, the study of mother tongue has also developed more and more widely with the support of big data. This article mainly introduces the comparative analysis of Chinese and American native language textbooks based on big data technology. This article uses big data to analyze and compare native language textbooks, combined with big data analysis technology, and uses reading feedback to investigate the comparison of Chinese and American native language textbooks. The experimental results of this article show that the big data analysis of Chinese and American native language textbooks has increased the reading volume by 16% and improved the efficiency of learning. Incorporating modern data collection and learning analysis into Chinese and American mother tongue teaching has improved the quality of teaching.
Design of an Intelligent Optical Fiber Grating Temperature Measurement System for Electrical Equipment
Authors: Zhang Liping 
Published: August 2021

Abstract
Today, domestic temperature monitoring systems usually use a master-slave multi-computer network composed of personal computers and single-chip computers. The single-chip microcomputer is used as a sub-computer to collect the temperature data of each sampling point. As a desktop computer, the PC is responsible for recording and displaying temperature and humidity, and centralized management. Since the conventional temperature measurement system cannot detect wavelength changes well, the temperature measurement system has problems such as low accuracy and stable operation. Therefore, an intelligent optical fiber grating temperature measurement system design for electrical equipment. The structure and characteristics of fiber grating and the principle of automatic temperature measurement of fiber grating components are introduced. Following the above principles, the temperature measurement system architecture is designed to include a data viewing layer and a remote monitoring layer in the storage layer. The results show that the total temperature change caused by the electrical equipment failure of the system described in this article is less than 1°C, and the total temperature change of the designed system is in the range of 2.5 to 3.5°C. The results show that the temperature error of the system described in this document is very small, and can accurately measure the automatic temperature of the glass fiber grid of electrical equipment.
Status Quo of Numerical Simulation of Friction Stir Welding After Deformation under Big Data Analysis
Authors: Chen Chen 
Published: August 2021

Abstract
Friction stir spot welding is a new type of connection technology developed on the basis of the friction stir welding process. It uses a high-speed rotating stirring head to generate heat by friction with the plate to make the welding material reach a thermoplastic softened state, forming a lap joint similar to resistance spot welding. The purpose of this article is to analyze and analyze the current situation of numerical simulation of friction stir welding after deformation under big data analysis. Algorithm mining commonly used for analysis of big data. This paper proposes to use the classic algorithm FP-growth algorithm. The FP-growth algorithm has the widest application range. It compresses the transaction database into a FP tree for processing. It also uses the Apriori algorithm, which eliminates the need to generate candidate frequent itemsets, which improves the efficiency of use. In addition, this article uses data mining technology and data fusion technology commonly used in big data analysis, and their application strengthens the analysis of the current situation of numerical simulation after friction stir welding deformation under big data analysis. Experimental research shows that the dynamic FSSW technology used in this paper simulates the numerical change after friction stir welding deformation, and the simulated data effect is better than the traditional GPC algorithm by about 20%.
Practice of Usability Testing of Online Online Education Platforms in the Internet Age
Authors: Zhang Moqing , Wu Rongying 
Published: August 2021

Abstract
In order to meet the needs of the development of the times, computer technology is developing rapidly, the times are making rapid progress, so the material life of the people is rapidly improving. However, because of the rapid development of science and technology, China’s original set of traditional-based education model can not meet the requirements of the times. Therefore, the current education model should be online and offline collaborative development. But our educational model and effectiveness of online platforms are still unknown. Therefore, the purpose of this paper is to study and test the availability of online education platform in the Internet age. In order to obtain reliable test results, we first test the usability of the platform by reviewing the method of building the relevant platform, and then by reviewing the algorithm of the test and using the algorithm to build the test program, and observe the required data results. The experimental results show that the fork algorithm can be used to better help to get the available data.
Electronic Dictionary Research Corpus
Authors: Sun Wei 
Published: August 2021

Abstract
The development of computer and Internet technology, and the emergence of new technologies such as electronic dictionaries and corpora have made it more convenient, accurate and reliable for students to learn to access materials. Students must master these new technologies in their study and life. The purpose of this article is to focus on the research and analysis of the electronic dictionary corpus, and to understand the influence of the electronic dictionary corpus on students’ study and life. The inquiry method used in this article is to conduct a questionnaire survey on students using the electronic dictionary corpus and then analyze the data obtained through big data technology. At the same time, this article still uses the simulation method to predict the future development prospects of the electronic dictionary corpus with the computer simulation experiment. The electronic dictionary corpus uses a variety of algorithms to query massive databases, and finally can display the data we need in front of us at the fastest speed. The dynamic BP network is used to predict the generalized predictive control prediction error. The dynamic BP network the weight can be adjusted online, which changes the situation that the traditional BP network performs error correction once the network weight is fixed after training. The experimental results show that this article conducted interviews and questionnaire surveys with experimental students and found that more than 90% of the students believe that the electronic dictionary corpus has a positive impact on students’ learning and development.
Rapid Modelling Method and Application using CGA
Authors: Li Shanglin , Wang Manli , Ou Zi , He Qingwen , Xiao Juan 
Published: August 2021

Abstract
Creating 3D model Using CGA shaper grammar rules is widely used in the field of rapid building modelling. To create 3D model of Xiangnan University, a set of CGA rules is proposed. These CGA grammar rules include building rules, floor division rules, tile division rule, street rules, roof rules. Finally, in order to test the effect of the model created, the 3D model constructed is imported into Unity3D engine. The final model can be published on multiple platforms such as Web, mobile devices and PC, providing user a free 3D navigation experience.
Research on the Digital Presentation and Inheritance of Traditional Music in the Internet Era
Authors: Shi Haijing 
Published: August 2021

Abstract
With the continuous development of society, the inheritance of culture has gradually become part of the development of Chinese spiritual civilization. Traditional music, as a part of Chinese culture, is an important part of Chinese national cultural heritage. However, due to the rapid development of the times, people is the awareness of inheritance and development has gradually faded, and traditional music has gradually disappeared from people’s vision. This article analyzes the influence and role of digitization in the presentation and inheritance of traditional music in the Internet age, and proposes strategies for using digitization in the Internet age to present and inherit traditional music.
RETRACTED: Visualization of Basic Mathematics Teaching Based on Artificial Intelligence
Authors: Wu Ronghua 
Published: August 2021

Abstract
Basic mathematics is an important part of education and teaching in our country. As a basic subject in our country’s teaching, it has always played an important role. However, with the development of time, the traditional mathematics teaching methods can not stimulate students’ interest in mathematics. In order to find out the teaching mode to improve students’ level and enthusiasm, based on artificial intelligence, this paper uses case analysis method, literature analysis method and other methods to collect data from the database, builds a model based on artificial intelligence, and reads and analyzes a large number of relevant literature through literature survey method, according to the research needs, through the research and summary of literature content. Research structure found that through the teaching of artificial intelligence, students’ mathematics scores are about 30% higher than the traditional teaching methods, the sense of cooperation between students reaches 0.8, to solve the contradiction between popularization and improvement, and to solve the polarization and the transformation of backward students and other problems, so that their personality can be fully developed and developed, so that mathematics teaching in Colleges and universities to the track of quality education. This shows that the basic mathematics teaching based on artificial intelligence can play an important role in college education.