bluuebunny/crossref_metadata_2025_split huggingface dataset:
Motivation of Students’ Autonomous Learning in English MOOC Teaching Based on Big Data Analysis
Authors: Xiao Longyuan 
Published: April 2021

Abstract
With the rapid development of big data in my country and the large-scale promotion of English MOOC courses in recent years, students’ autonomous learning has become more and more important. Autonomous learning by students is not only conducive to improving students’ course performance, but also an important development factor for students’ lifelong learning and sustainable development. MOOC impacts the traditional English curriculum and teaching mode. Some students’ basic qualities are generally poor, their learning goals are not clear, the learning methods and objectives are not correct, and they lack active learning motivation and the ability to solve problems independently. It is an urgent task for us to improve students’ learning motivation. The purpose of this article is to study the motivation of students’ autonomous learning in English MOOC teaching based on big data analysis. Based on the relevant theories of educational psychology, this thesis describes the internal connection between the English MOOC teaching model under big data and the theory of learning motivation. This article makes a preliminary discussion on how to effectively combine English MOOC teaching under big data with learning motivation theory, so as to improve students’ autonomous learning motivation. This paper proposes a comparative analysis method to compare traditional teaching and MOOC teaching to analyze its influence on students’ learning motivation. This article puts forward the theory of interaction and autonomous learning. Finally, a variety of manifestations are adopted, and the comparison trend chart is intuitively displayed to users. Experimental research shows that the survey results show that the experimental class score is 25.5, while the traditional class is 19.30, both of which do not reach 90% of the total score, indicating that the students’ motivation for learning English is insufficient. Using the teaching model of English MOOC teaching based on big data analysis helps to improve the overall student’s learning motivation level. According to the experimental results, it has increased by 16.6%.
Tourism Management System Based on GIS
Authors: Wei Xiangyun 
Published: April 2021

Abstract
Tourism is the industry with the most vitality and development potential. Today, it is the largest industry in the world. It is not only recognized by many developed countries, but also recognized as a priority industry by more and more developing countries and regions. Today, with the development of the knowledge economy, information has become the lifeblood of the tourism industry, and computerization has become an important factor in promoting overall economic development. And global society. This article mainly introduces the resources and management information of tourism service facilities based on the tourism management system GIS. In this article, we will study and discuss the application of GIS in tourism information systems, integrate the concept of autonomous tourism into the system, make the country a research field, and establish, verify and implement corresponding autonomous tourism information systems. The experimental results of this paper show that the construction of this system has improved the management level of map data in tourist destinations. The map data is continuously updated. The source of land is managed within a week, and the passenger flow in Sanhe area has increased by 15%. Sustainable development is a favorable guarantee.
Computer Performance Appraisal System Based on Balanced Scorecard under the Internet Background
Authors: Wu Haiyan , Qi Yongjun 
Published: April 2021

Abstract
In the new era of rapid development of Internet information technology and data processing technology, although the emergence of Internet technology has brought changes that cannot be underestimated in various fields of society, the computer performance evaluation system based on the Internet in the era of big data will definitely follow Technology trends in the new era. The balanced scorecard is one of the most commonly used financial performance appraisal tools in academia. The research purpose of this article is to study the innovation of enterprise computer performance appraisal management system in the current Internet era with the continuous development of big data technology. This paper first uses a neural network algorithm to build a model for it. Through this algorithm combined with a questionnaire survey method to screen the evaluation indicators of the computer performance evaluation system of Internet companies in the eastern coastal area, and finally build a BP model through the enterprise computer performance evaluation system. Model calculation samples, after calculation, the computer performance analysis of the target company can be obtained, and on the basis of summarizing the computer performance evaluation system and the balanced score card of the enterprise in the Internet era, the in-depth understanding and conclusion can be drawn. After studying the setting of performance appraisal system indicators, the setting of personal growth indicators is insufficient, the lack of effective cost control and the setting of computer performance indicators have not yet formed a complete system problem. This paper combines the actual situation of computer performance appraisal of Internet companies in the eastern coastal areas, applies the balanced scorecard to set up a management index system for the company’s computer performance appraisal, and uses the analytic hierarchy process to analyze the weights of the various indicators of the corporate computer performance appraisal balanced scorecard. Compare the evaluation results with the designated enterprise computer performance management evaluation standards. Experimental research results show that the balanced scorecard can effectively improve the efficiency of the computer performance appraisal system, and the computer performance appraisal can be clearer, and based on the Internet background and big data technology, the performance appraisal system can be made clearer.
Quantitative Analysis of Salary Data in the Big Data Era
Authors: Li Biqi 
Published: April 2021

Abstract
The advent of the big data era has brought new opportunities and challenges to every industry, as well as the new insights for the development of human resource management. Compensation management is regarded as an important part of human resource management. Apply big data principles and methods into this field to improve business efficiency and make wiser decisions, which has become a frequent topic of discussion among scholars. This article firstly focuses on the quantitative analysis of compensation data in the era of big data, and then clarifies the main idea of big data human resource management and quantitative analysis of salary data, identifies the problems on the traditional quantitative analysis of salary data, and finally presents the path of quantitative analysis of salary data in the era of big data.
RETRACTED: Application and Management of Financial Sharing Under the Background of Big Data Era
Authors: Xue Lingqi 
Published: April 2021

Abstract
With the advent of the big data(BD) era, financial information and group financial management have shown new characteristics. BD technology also provides support for the construction of shared centers. The establishment of financial shared service centers is the future development direction of large and medium-sized enterprises. The purpose of this article is to study the application and management of financial sharing under the background of the BD era. This article is the development trend of financial shared service center under the background of BD. It briefly described the development and evolution of financial shared services, and pointed out the challenges and future development trends of the construction of financial shared service centers under the background of BD. This article discusses the principles, objectives, overall planning, specific design and issues that should be paid attention to in the construction of the group’s financial shared service center under the background of BD. This paper proposes the framework model and process design of group capital management. Taking the framework model of the financial shared service center under cloud accounting as the core, build a group fund management framework model based on financial shared services under cloud accounting, and then further develop process design for fund budget management, fund control management, fund supervision and management, and fund assessment management. At the same time, it analyzes the causes of the group’s existing personnel career planning and high operating costs, proposes solutions, and investigates the development trend of the financial shared service center. Research shows that the audit error rate of the financial shared service center of surveyed companies in 2014 was 1.27% to 0.57% in 2018. It can be seen that the audit error rate basically fluctuates, which further verifies that the financial shared service center has strict requirements for internal management. The internal service level of the Financial Shared Service Center is continuously optimized and improved.
Development of Invoice Making Robot for Catering Chain Enterprises
Authors: Zou Dejun 
Published: April 2021

Abstract
The billing business of catering chain enterprises is faced with the characteristics of wide distribution and large customer flow. It needs to take into account the cash flow control, responsibility assessment and business performance incentive of each store business, and faces the problems of heavy task and low efficiency. Through RPA, the work efficiency can be greatly improved, work errors and omissions can be reduced, fraud can be prevented to a certain extent, cash flow control can be strengthened, and the effect of performance appraisal can be improved.
Library Information Construction and Service Trend under Big Data
Authors: Zhen Yeping 
Published: April 2021

Abstract
With the rapid development of knowledge economy and the rapid progress of science and technology, in order to adapt to the pace of the times, university libraries have also undergone tremendous changes, especially in the context of information technology. The traditional service mode of library cannot meet the demand of teachers and students for cultural knowledge information. Is not a single demand for knowledge, but more pursuit of personalization, specialization and diversification? Therefore, it is urgent for the library to change the old service mode. Under this background, the university library has been greatly challenged in the service concept and service mode. Only through the application of personalized service mode through innovative service mode, the university library sets up individualized information service channel according to the user’s information demand behavior. And through the analysis of user’s habits and personal characteristics to meet the user’s potential information needs. Through the investigation and investigation of a university in our province, the number of people who do not understand the personalized recommendation service is up to 115, accounting for 40.35% of the total.
Application of 3D Digital Modeling Technology in the Display of Marine Fish Science in the South China Sea
Authors: Dai Minhong , Wen Cui , Chen Tiantian , Pang Bingnan 
Published: April 2021

Abstract
A The richness of marine fish species in the South China Sea and the popularization of marine culture are beneficial to people’s further understanding of the sea and can enhance marine awareness. With the rapid development of computer and information age, 3D scanning technology, 2D image digital recognition technology, AI artificial intelligence technology and other new technologies are combined into 3D digital modeling technology. However, 3D digital modeling technology is constantly updated, how to use 3D digital modeling technology to display the marine fish in the South China Sea, and how to use 3D next-generation technology to portray details and other technologies to more deeply express biological characteristics and restore science records is still a problem worth exploring.
Analysis on the Application of Computer Information Processing Technology under the Background of Big Data
Authors: Wang Pengwen , Hu Yanan , Huo Jiaofei 
Published: April 2021

Abstract
The era of big data is officially coming, marking that my country has officially entered the era of massive information. Computer information processing technology is an innovative product of the rapid development of my country’s scientific and technological information field, which is of great significance to the development of society. In this regard, this article mainly discusses the application of computer information processing technology in the context of big data, hoping to bring theoretical help and guidance to relevant technical personnel.
Application of Artificial Intelligence and Big Data in Sports Event Service——Take Guilin as an Example
Authors: Wang Dongle , Liang Feng 
Published: April 2021

Abstract
In recent years, many cities improve their brand awareness by holding sports events, but the traditional service mode of sports events cannot meet the needs of people at present. Through artificial intelligence and big data technology to improve and strengthen the service ability of event organizers is one of the current mainstream trends. However, there are not many practical application cases at present, so this paper puts forward the application research based on artificial intelligence and big data in sports event service, Taking Guilin as an example. This paper makes an in-depth investigation and Research on the demand of different ticket holders for the event service in Guilin. Through the analysis of the survey results, it can be seen that different ticket holders have different demand points for the event service. However, in the traditional service mode of sports events, it is difficult to meet the needs of users due to the lack of data support. In view of this, according to the characteristics of sports event service, combined with artificial intelligence and big data technology, this paper puts forward optimization and improvement measures. By improving the information gain in big data mining, this measure simplifies the algorithm and makes the calculation results more in line with the actual needs of sports event services. Analysis shows that under the background of information age, artificial intelligence and big data technology can further improve the comprehensive ability of China’s sports event service, meet the needs of users, and promote the development of sports.
Application of Artificial Intelligence in Computer Network Technology
Authors: Jingzhou Ji , He Yuexing 
Published: April 2021

Abstract
Now our country has entered the era of rapid development of science and technology, Computer network application technology has generally entered every corner of society, While computer network technology development of computer network communications security, systems management technology are also constantly upgrading requirements, With the rapid development of science and technology, it is obvious that traditional data processing technology is far from meet the actual needs of computer network security required now, In order to be able to solve this problem, artificial intelligence technology is integrated into computer network technology. And with the test of time, The effect achieved by artificial intelligence is also ideal, This article briefly analyzes the application of artificial intelligence technology in computer network technology.
Application of Artificial Intelligence in Modern Vocational Education Technology
Authors: Wu Xi 
Published: April 2021

Abstract
In recent years, with the rapid development of network technology and information technology, artificial intelligence has become the development trend of modern technology. Over the past 50 years, scientists from various countries around the world have continuously explored artificial intelligence technology. Up to now, artificial intelligence has achieved great results. Compared with traditional modern technology, artificial intelligence has broken through the shackles of traditional technology, and has been highly sought after in various fields for its advantages such as being more convenient, more effective, saving time, labor and cost. Modern vocational education is an effective part of China’s higher education, mainly providing professional technical talents for the society. At present, vocational education has not been developing in China for a long time, and the application of computer technology in vocational education is even later. In recent years, although the rapid development of computer technology in China has promoted the development of vocational education to a certain extent, the actual application of computer technology in modern vocational education has lagged far behind the development of computer science itself. While many disciplines of artificial intelligence based on “knowledge engineering” have achieved certain results, modern vocational education still evolves traditional computer technology. Obviously, modern vocational education is far from artificial intelligence technology in computer application. How to effectively apply artificial intelligence technology to the summary of modern vocational education, make full use of the potential of computer technology itself, and bring new development opportunities for the development of modern vocational education has become an important issue that modern vocational education workers need to solve urgently. From the perspective of artificial intelligence technology, this paper deeply analyzes the current status and problems of the application of artificial intelligence technology in modern vocational education in China. And on this basis, this paper puts forward the feasibility suggestions for introducing artificial intelligence into modern vocational education technology. The main purpose of the research in this article is to urge our modern vocational education colleges to pay enough attention to artificial intelligence technology and to stimulate the interest of modern vocational education scholars on artificial intelligence. Furthermore, the artificial intelligence technology can be fully and efficiently implemented into modern vocational education, and more high-quality professional and technical personnel can be cultivated for the society.
Library Cataloging Work under the Background of Computer Network
Authors: Wang Bichun 
Published: April 2021

Abstract
With the rapid development of computer technology and network technology, the development of various social undertakings has gained new impetus. The cataloging work of the library has gradually changed from manual compilation to computer operation and networking. Online joint cataloguing links the catalogue resources of each relatively independent literature institution with computer network technology, forming a relatively unified and synchronous joint catalogue database. On the one hand, under the background of computer network, the efficiency of Library Cataloging can be improved, on the other hand, library cataloging has realized the unification of description format standard and standardized index. It can be said that actively carrying out the research of library cataloging work under the background of computer network will help to improve the level of cataloging work and innovate the ways and methods of cataloging work.
Seismic Performance of Assembled Building Structure in Smart City
Authors: Chen Qinyuan 
Published: April 2021

Abstract
In recent years, prefabricated buildings have made good development. Compared with ordinary reinforced concrete construction projects, prefabricated buildings have higher requirements for seismic resistance. In this paper, the seismic performance of the assembled building structure in smart city is studied. In the study, we use open sees to establish the finite element model, and take the common seismic performance indexes as the evaluation indexes, and compare the prefabricated structure with the cast-in-place structure from the aspects of ductility, stiffness degradation and energy dissipation. The results show that when the displacement reaches 80 mm, the energy consumption of the two structures reaches the maximum value, and the energy consumption of prefabricated structure is 20000 KN / mm, and that of cast-in-place structure is 30000 KN / mm. In addition, the research results show that the ductility coefficient of prefabricated structure is slightly smaller than that of cast-in-place structure, but its stiffness degradation is better than that of cast-in-place structure. Generally speaking, the seismic performance of prefabricated building structure is better than that of cast-in-place structure. The research results of this paper will provide certain reference value for the development and construction of smart city.
Application Analysis of Computer Technology in Construction Project Schedule Control in Information Age
Authors: Yang Jieyun 
Published: April 2021

Abstract
Construction industry is one of the pillar industries in China, which has made great contributions to China’s economic development. However, because the overall management level of the construction industry in China is still relatively low at present, the construction procedures of many projects are complex and involve many factors. In order to make the construction proceed smoothly, it is necessary to control the progress of construction projects reasonably. Therefore, the purpose of this paper is to analyze the application of computer technology in construction project schedule control in the information age. In this paper, according to the actual situation, the project management software Project 2019 in computer technology is used to control and manage the progress of the project. Project 2019 can work out a set of optimal construction schedule within the specified time limit, compare it with the actual schedule, find out the deviation and its causes, make reasonable analysis and make corresponding adjustments. At the end of this paper, the construction projects controlled by the project management software Project 2019 are compared with those not used, and the actual effects of both are analyzed. The experimental results show that the project management software Project 2019 can effectively control the progress of the construction project reasonably, and can make corresponding adjustments according to the actual situation, which can accelerate the overall progress of the project by about 10%, which is of great significance for improving the existing construction project progress.
Computer Network Information Security and Protection Measures under the Background of Big Data
Authors: Liu Saie 
Published: April 2021

Abstract
With the rapid development of computer network era, there are computer networks in various industries. In the process of computer network application, there will inevitably be various network information security risks. The emergence of various problems leads to many illegal malicious thefts of network users’ private information, causing great losses to the user’s property security. The development of big data is important in computer network information security. Therefore, this paper studies protection measures. Using the demand of big data period, this paper analyzes the problems of computer network information security. Repeated testing to develop effective protection measures to continuously improve the security of computer network. To provide a more stable network environment for the general public, to avoid the problem of large-scale private information disclosure.