bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on Information Resource Sharing Mode in University Archives Management Based on Network Cloud Platform
Authors: Rong Zhaoyan 
Published: October 2020

Abstract
With the continuous development of society and the arrival of information age, the mode of information resource sharing in university archives management has become the mainstream trend of development. This paper first introduces the related theoretical concepts of archives information resource management and information resource sharing based on the network cloud platform, then analyses the importance of information resource sharing in the process of archives information management in colleges and universities, and finally gives the strategies of constructing the mode of information resource sharing in archives management in colleges and universities.
Application of Information-based Education Technology to Physics Teaching in the Internet Era
Authors: Ma Zhengrui 
Published: October 2020

Abstract
In the big picture of educational informatization, more and more information tools have been applied to physics teaching in a certain university. Information technology has not only improved teaching quality and efficiency effectively but also placed higher requirements on teachers and students. In this paper, the impact of information-based education technology on physics teaching in the university is explored from three aspects of cloud computing, smartphone, and smart classroom in the Internet era. At the same time, the development direction of physics teaching reform and innovation is discussed to change the existing physics teaching model in the university and improve the physics teaching quality through the information-based education technology in the Internet era.
RETRACTED: Research on Sharing Logistics Information Platform Model based on Computer Big data Technology
Authors: Shen Zhenhua 
Published: October 2020

Abstract
A few years ago, computer big data was still in the stage of concept speculation, but since the 13th five year plan outline pointed out that the national computer big data strategy should be implemented, the situation has changed greatly. The computer big data logistics information platform takes computer big data and Internet of things as the core support, integrates cloud computing, mobile Internet, artificial intelligence and other technologies to provide process visualization, dynamic tracking and integrated intelligent logistics services for relevant users. On this shared information platform, the relevant entities can realize real-time data exchange and information sharing, which greatly improves the operational efficiency of logistics integration of upstream and downstream enterprises in the supply chain, and promotes the development of local economy [1].
Talking about Using Big Data to Analyze the Brand Design of Sports Events to Improve the City Brand Image
Authors: Tu Zhichu 
Published: October 2020

Abstract
Based on the background of big data, this article combines computer big data analysis and literature methods, logic analysis and induction to illustrate how a city can organize and market sports events and use sports as an entry point to carry out urban brand image activities. The research shows that the holding of sports events is an important resource and means of urban brand image, which is conducive to the overall development including urban construction, economy, culture, city image and society. It further clarifies the process of introducing urban brand image of sports events and proposes A few things that should be noted. Explain and demonstrate the theoretical system of "sports events and city brand image", and at the same time provide guidance for theoretical support and practical activities as a city brand image focusing on sports events.
Research on the Implementation Path of Ideological and Political Education in Colleges and Universities Based on Multimedia Technology
Authors: Chen Zhifang 
Published: October 2020

Abstract
Teaching content is the core of classroom teaching. Physical education teachers generally choose appropriate teaching methods and teaching organization forms based on the features of teaching content. The current physical education materials of the new curriculum did not give the relative teachers the specific teaching content of each class, and provided a broad stage for the most relative teachers. How to choose and match teaching content reasonably and effectively is the fundamental guarantee for ameliorating the classroom teaching results. This article probes into the implementation path of college political thought education based on multimedia tech.
Design and Implementation of Information Collector Based on Computer in Internet of Things
Authors: Zheng Zhiguo 
Published: October 2020

Abstract
The information collector based on MCU is helpful to realize the collection, transmission and display of information, and has high stability and cost advantages, so it has high research value. Based on this, this paper first analyzes the key technology, demand and overall scheme of SCM information collector based on computer, and then studies the principle of hardware design, hardware architecture and information adoption and analysis process of SCM information collector system.
Research on Application of Computer Monitoring System Technology in Eddy Current Meter
Authors: Xu Zhihao 
Published: October 2020

Abstract
With the rapid development of measurement technology, measurement plays an important role in economic construction, scientific research and social life. With the development of intelligent and digital technology, there are more and more intelligent flow meters based on different measurement principles. With the improvement of industrial intelligence and industrial production, the demand for centralized monitoring of flowmeter and the formation of flow monitoring system is also growing. Based on the computer monitoring system technology of single chip microcomputer, can bus and configuration software, this paper designs a vortex flow system with open, reliable and communication functions, which improves the detection level of common vortex flow meter through the computer monitoring system technology.
RETRACTED: Research on the Impact of English Language and Literature on College Students’ English Acquisition Ability Based on Big Data Technology
Authors: Ding Zhilei 
Published: October 2020

Abstract
In the era of big data, with the continuous development of English language and literature, it has gradually broken through the traditional teaching design. The renewal of the new model has promoted the development direction of students’ English competence in a full field of vision. This paper explores the main ways to improve English culture and competence of college students. From the perspective of acceptance effect, it investigates the attribution analysis of college students’ learning goals and learning methods based on big data technology. In addition, this paper explores the strategies of rationality teaching in college English based on English language and literature.
Knowledge Discovery and Analysis of ICT Customer Service Data Relying on Multi-frequency Mode Data Mining
Authors: Xu Zhongping , Zhang Tao , Zheng Rongrong , Li Xiangna , Li Dong 
Published: October 2020

Abstract
With the rapid development of social economy and technology, ICT often accumulates a large amount of customer service data. How to quickly extract information from it and discover some deep-seated internal laws hidden in business data. This article takes telecom operators as an example, relying on Multi-frequency mode data mining methods, a series of data mining technology application solutions are proposed, and data mining methods are discussed at the same time. Finally, a case is used to prove that data mining is an effective tool for improving the core competitiveness of the business.
Research on the Influence of New Generation of Information Technology on Contemporary Enterprise Logistics Management Information System
Authors: Zhang Zongguo , Liu Yue , Zhang Jiong , Song Xinhang 
Published: October 2020

Abstract
At present, information technology has been widely used in various fields, which has also led to the modernization of logistics information management in China. The new generation of information technology has penetrated into different professional fields, such as mechanical engineering, electronic engineering, communication engineering, image processing and so on. Through the information technology, enterprise logistics management has been moving towards the road of automation and intelligence, which is also the development trend of modern enterprises. At the same time, the new generation of information technology promotes the application of modern logistics management, which will help enterprises to move towards the process of logistics integration. First of all, this paper analyzes the important characteristics of modern logistics management. Then, this paper analyzes the information technology used in logistics management. Finally, some suggestions are put forward.
RETRACTED: Using Big Data Technology to Analyze the Development Direction of Internal Audit
Authors: Wang Zuhui 
Published: October 2020

Abstract
At present, the world is stepping into the era of big data. Big data is also changing our lives and influencing our way of life and work imperceptibly. Enterprises are also gradually influenced and changed in this era of big data. Internal audit is one of the key components of enterprise value chain management. In the era of big data, the past management concepts and methods have been unable to meet the needs of today’s era. Therefore, the reform of internal audit is imperative. Firstly, this article analyzes the development direction of auditing under the use of big data technology. Then, some questions were raised. Finally, some suggestions were made.
Big Data Technology in Museum Exhibition Digitization
Authors: Yu Yuebo 
Published: October 2020

Abstract
Today, museums have become a very important part of people’s lives. In the exhibition of cultural relics, the level of display technology is directly related to the development and service quality of museums. With the development of science and technology, the exhibition activities of museums are gradually developing towards intelligence, networking and digitization. Big data technology plays an important role in the digital construction of museums and is widely used in museum business. This paper studies the digital museum which uses digital technology to display cultural relics and the application of big data technology in digital museum. In order to better understand the application of big data technology in museum exhibitions and its help, this paper carried out a survey in a digital exhibition museum with big data technology, counted the flow of people in the museum before and after the application of big data technology, and formulated a questionnaire to investigate the feelings of museum staff and visitors on the application. The results show that big data technology can effectively improve the effect of Museum digital exhibition.
Research on Search Optimization Based on Oracle Database
Authors: Wu Hong , Cheng Caijun 
Published: October 2020

Abstract
With the continuous progress of human civilization, the whole society has accelerated the process of informatization. With the continuous enrichment of social life, a large number of information data are produced every day. In order to meet the information needs of financial, administrative and other fields, Oracle database technology is applied, and its efficient and accurate data query features give powerful help to all walks of life. However, with the increasing amount of information, the structure of Oracle database system becomes more complex and chaotic, and even has a serious impact on the stability of the database. In order to improve the stability of Oracle database and further improve the performance of data search, this paper studies the optimization of search based on Oracle database. This paper mainly studies the optimization scheme of the physical layer and software layer of Oracle system, and optimizes the SQL statement after adjusting the hardware structure of the system. Through the simulation, it is found that the stability of database and the response time and accuracy of search query can be improved by improving the structure of database server and optimizing SQL statements.
Construction of Port Logistics Service Platform Based on Big Data
Authors: Lv Dongqin 
Published: October 2020

Abstract
With the mature application of Internet of Things, big data and cloud computing technologies in various industries, smart ports based on new technologies have emerged. This article aims to build a port logistics service platform based on big data, with a view to using the big data platform to increase the development speed of the port logistics industry and realize the informatization and modernization of the development of logistics information. This article takes a typical B logistics company in Port A as an example. Through a survey and analysis of B logistics companies, it is concluded that the operating income of B logistics companies has always shown an upward trend. In 2019, the operating income reached 2.01 billion yuan. By analyzing the company’s methods to enhance market competitiveness, combined with the actual situation of Port A, build a port logistics service platform based on big data. The research in this paper helps to improve the development speed of the port logistics industry, comprehensively improve the competitiveness of the port and the service level of the port, and realize the informatization and modernization of the development of logistics information.
RETRACTED: Research on ERP Software Course Optimization Based on Big Data Technology
Authors: Lu Shengxu 
Published: October 2020

Abstract
With the development of the times, the progress of society, the continuous improvement of human science and technology and cultural level, big data technology is also rapid development with the pace of the times, now, in people’s daily production and life, big data technology has been widely used. In this increasingly competitive society, all walks of life must have a clear understanding of the current development tasks if they want to keep up with the development trend of the times. The development of ERP software can also be defined through the analysis of big data technology. ERP software course is mainly a course integrating theory and practice. The main purpose of ERP Course in Colleges and universities in China is to meet the new requirements of society for ERP talents in the new era, and to better adapt to the needs and management of enterprises for students. Therefore, this paper puts forward the method of combining big data technology with ERP software course optimization research, analyzes the current situation of ERP software development, and combines with the new requirements of the new era society on the theory and practice of college students, so as to guide the development of ERP software course in Colleges and universities in China. Through the analysis, it is found that the method proposed in this paper is of great significance to the optimization of ERP software course.
Development of Mechanical Equipment Fault Diagnosis System Based on Big Data Technology
Authors: Sun Gang , Zhang Yongming 
Published: October 2020

Abstract
With the development of the times, social progress, the level of human science and technology and the continuous development of modern industry, now, the development and research of mechanical equipment fault diagnosis system in China is facing unprecedented challenges. In today’s big data era, the combination of big data technology and the development and research of mechanical equipment fault diagnosis system in China has become the inevitable demand of the development of times. Therefore, in order to better make the development and research of mechanical equipment fault diagnosis system conform to the development trend of the times, this paper deeply studies the development and research status of mechanical equipment fault diagnosis system in recent years through Internet and big data technology, and analyzes the development and research potential of mechanical equipment fault diagnosis system in recent years, In the research, it is found that the development and research development of mechanical equipment fault diagnosis system in the new era tends to be more intelligent. Therefore, the development and research scheme of mechanical equipment fault diagnosis system suitable for the development requirements of the new era is formulated. It is found that the big data analysis method proposed in this paper plays a key role in the development and research of mechanical equipment fault diagnosis system, and the accuracy of mechanical equipment fault diagnosis reaches 92.5%.
Research on Digital Image Processing and Recognition Technology of Weeds in Maize Seedling Stage Based on Artificial Intelligence
Authors: Zhang Jiali 
Published: October 2020

Abstract
In today’s agricultural development, field weeds can be said to be a strong enemy of agricultural production. In the production of traditional agriculture, herbicides and other related pesticides are mainly used to ensure the normal production of crops, which will cost a lot of manpower, material resources, financial resources and a large number of herbicides, and also cause serious environmental pollution. The development prospect of modern agriculture is precision agriculture. How to realize the sustainable development of agriculture, reduce pollution and achieve the goal of precision weeding in the current era is the difficult problem of agricultural development. Therefore, in this paper, the corn seedling stage as a model, the artificial intelligence technology and other electronic technology are integrated into the agricultural management system, and the weeds in the corn seedling stage are identified by using the weed digital image processing and recognition technology, so as to accurately spray herbicides, so as to achieve the purpose of improving agricultural productivity. Through the analysis, it is found that the method proposed in this paper has important practical significance in the development of digital image processing and recognition technology of maize seedling Weeds Based on artificial intelligence technology.
Application of Big Data Technology in College Students’ Mental Health Education Innovation
Authors: Li WenBo 
Published: October 2020

Abstract
College Students’ mental health education is the abbreviation of psychological quality education and mental health education, and it is an important content of university education. In the context of quality education in the new era, there are some problems in the mental health education in Colleges and universities, such as the quality of teachers to be improved, the degree of attention is not enough and the teaching content is single. Therefore, this paper puts forward the application research of big data technology in college students’ mental health education innovation. In this paper, through field observation, we have a close contact with big data technology, and have an understanding of the technology based on practice. In this process, we emphasize the substantial significance of big data to mental health education. The details of work have changed from tedious to simple, and the work form has changed from single to rich. Through comparative analysis, it shows that the use of big data technology in the innovation work of College Students’ mental health education can solve more college students’ mental health problems with high quality, and provide technical support for the innovation of College Students’ mental health education.
Application of Machine Vision in the Inspection System of Steel Plate Surface Defects
Authors: Li Xing , Li Jiaqing 
Published: October 2020

Abstract
Although my country is a big country in steel production, the development of domestic steel plate surface defect detection technology is backward, and most small and medium-sized enterprises are still at the stage of manual visual inspection. This paper investigated by machine vision defects in the steel sheet surface detection system application, in order to improve the steel surface defect detection rate. In this paper, a set of steel plate surface defect detection system is proposed based on machine vision, the hardware modules and selection methods of the system are designed, and four surface defects of holes, scratches, zinc scars and cracks are verified, and good experimental results are obtained. Using three different speeds for detection, the detection rate of steel surface defects reached more than 90%, and the recognition rate reached more than 80%. Research shows that the system in this paper can detect defects on the surface of steel plates well.
RETRACTED: Application of Big Data Technology in Teaching Reform of Applied Economics in Colleges and Universities
Authors: Qian Yujun 
Published: October 2020

Abstract
With the development of the times and the progress of society, the scientific and cultural achievements of human beings are constantly accumulated, and a large number of science and technology are widely used in people’s daily production and life. Under the background of the current big data era, China’s economic system reform of all walks of life is in full swing, and the economic system and structure of all walks of life are gradually improving. The teaching reform of Applied Economics in Colleges and universities in China also needs to follow the trend of the times. Nowadays, the knowledge structure required by students majoring in Applied Economics in Colleges and universities has also changed greatly compared with the past. In order to cope with this change, this paper puts forward the method of integrating big data technology with the teaching reform of Applied Economics in Colleges and universities, and carries out the current situation of the teaching of Applied Economics in Colleges and universities In order to meet the new needs of applied economics students in the new era, this paper analyzes and combines the new requirements of the era of big data for students majoring in Applied Economics. Through long-term research, we can find that some analysis methods proposed in this paper have important practical significance for the application of big data technology in the teaching reform of Applied Economics in Colleges and universities.
Research on Financial Abnormal Transaction Model of Securities Market Based on Big Data Technology
Authors: Qian Yujun 
Published: October 2020

Abstract
Under the background of the current big data era, all walks of life in China are carrying out reform and innovation on their operating mechanism, so as to better cope with the challenges brought by the new era. The research of financial abnormal transaction model in China’s securities market also needs to follow the development trend of the times. Compared with the past, great changes have taken place in the research of financial abnormal transaction model in the securities market. In order to meet the challenges brought by the new era to the research of financial abnormal transaction model of securities market, this paper puts forward the application of big data technology to the financial abnormal transaction model of securities market This paper analyzes the research status of financial abnormal transaction model in China’s securities market, and formulates a new research scheme for financial abnormal transaction model of securities market in the era of big data, so as to meet the new needs of the research on financial abnormal transaction model of China’s securities market in the new era Please. Through long-term observation, it can be found that some of the analysis methods proposed in this paper have important practical significance for the research of abnormal trading model of securities market based on big data technology.