bluuebunny/crossref_metadata_2025_split huggingface dataset:
RETRACTED: Design Method of College English Information Teaching Platform Based on LAN Technology
Authors: Zhang Jingzhi 
Published: October 2020

Abstract
With the rapid development of the times and the continuous progress of society, this is an era in which science and technology are widely used in our daily production and life. Everything around us is undergoing great changes. In this era of rapid development, if everything wants to keep up with the pace of the times, it must constantly change its development mode, so as to better adapt to the development requirements of the new era. In order to cope with the impact of the times, the design method of College English information teaching platform also needs to be innovated, so as to meet the new needs of the development of the new era. Therefore, this paper puts forward the method of Establishing College English information teaching platform based on LAN technology, which can better realize the modern teaching of College English. This platform can basically meet the needs of College English Majors for autonomous learning of English knowledge, and can better stimulate students’ interest in learning. Through long-term research, it is found that the design method of College English information teaching platform based on LAN technology can successfully help college English teachers improve the teaching efficiency of College English.
Research on the Construction of Practice Teaching System of Business Administration Specialty Based on Artificial Intelligence
Authors: Huang Huazhen , Chen Meihua 
Published: October 2020

Abstract
With the development of the times, the progress of society, and the continuous improvement of human science and technology and culture, artificial intelligence technology has been widely used in people’s daily production and life. In today’s era, the practice teaching system of Business Administration major has always been the focus of attention of universities and relevant departments. Although some domestic college students have certain theoretical knowledge, their experience in the field of professional practice teaching is basically blank or relatively weak. Therefore, this paper starts from the basic construction of practice teaching basic system of advanced business administration major, and integrates the practicality of professional artificial intelligence technology into the structure of practical teaching curriculum foundation system of advanced business administration specialty, so as to deeply discuss the basic construction of practice course and teaching system of advanced business management specialty. Through the analysis, it is found that the introduction of artificial intelligence technology into the construction of practical teaching system of business administration specialty can effectively improve the depth of research on the construction of practice teaching system of Business Administration major.
Research on Basketball Players’ Training Strategy Based on Artificial Intelligence Technology
Authors: Yang Zhuo 
Published: October 2020

Abstract
The current artificial intelligence technology, as a new frontier science and technology, can track and analyze a single sports goal in the training methods of basketball players, and use convenient training strategies to achieve the best training effect. This article first elaborates the current development trend of artificial intelligence technology, and also analyzes the development of artificial intelligence at home and abroad, expounds the current status of artificial intelligence in sports, and finally focuses on the training strategy of artificial intelligence in basketball players. In-depth analysis and research have been done in the application of other aspects, the purpose is to provide theoretical support and guidance for the further development of modern basketball. Based on artificial intelligence, the basketball player training system should fully understand and evaluate the athlete’s physical condition and athletic ability, timely measure the basketball player’s sports skills, give training strategies for the basketball player’s sports situation, and optimize the training plan for the athletes. In the software and hardware architecture, the Baum-Welch algorithm should be contacted to collect athletes’ sports data, and a data management platform should be established to fully explore the athletes’ exercise laws and strengthen the athletes’ daily training. The experimental research results show that the use of artificial intelligence technology can greatly improve the training efficiency of basketball players and fully stimulate the potential of basketball players. The use of artificial intelligence technology can not only provide basketball players with convenient and effective strategies, but also develop different training plans according to the physical fitness of each basketball player.
Innovation and Development Path of China’s Multimedia Art in the Era of Big Data
Authors: Chen Shuping 
Published: October 2020

Abstract
With the progress of society and the continuous development of human cultural achievements, it also provides more development opportunities for the innovation and development path of China’s multimedia art. In today’s big data era, the development speed of China’s multimedia art is gradually unable to keep pace with the social demand. It is imperative to combine big data to develop China’s multimedia art needs to be analyzed through a large number of big data, which is the current mainstream trend. Therefore, this paper studies how to develop China’s multimedia art more efficiently in the era of big data. The innovation and development of China’s multimedia art has a long way to go, and needs multi-dimensional analysis and efforts. In the research, it is found that through the analysis of big data, multimedia managers can detail the development trend and make decisions more effectively, rather than relying on the previous intuition and experience. Moreover, under the analysis and guidance of big data, the innovation and development path of China’s multimedia art is clearer, which is of great significance to the development of multimedia art.
Smart Education — The Necessity And Prospect Of Big Data Mining And Artificial Intelligence Technology In Art Education
Authors: Wang Shan 
Published: October 2020

Abstract
smart education refers to a new education form and education mode relying on Internet technology, big data mining, artificial intelligence (AI) technology and mobile communication technology to realize online, platform, convenient, modular, accurate, and even mobile and fragmented learning knowledge and skills. This is a big trend. The education form of traditional art colleges is old-fashioned, conservative and lack of innovative means to adapt to it. It is imperative to improve the guidance, systematicness and convenience of art education curriculum by using new technology and new means. However, it is not very beneficial to simply transfer the curriculum and teaching materials under the offline learning mode to the Internet for all art students. Therefore, we put forward the concept and Prospect of "smart education". In short, smart education is the comprehensive development and utilization of online education platform, knowledge base, artificial intelligence (AI) and big data mining technology.
RETRACTED: The Construction of College English Ecological Teaching Mode in the Era of Big Data
Authors: Cai Xuan 
Published: October 2020

Abstract
The teaching mode in the era of big data is based on the accurate analysis of data to form an ecological teaching mode so that college students’English level has been greatly improved.This paper mainly introduces the construction of College English ecological teaching mode in the era of big data.In this paper,the formulation of precision teaching plan in precision teaching is transformed into an optimization problem,and the basic ideas to solve the problem are described.This paper focuses on the optimal design of teaching mode from the perspective of learning time to stimulate the students’motivation to learn English.In this paper,the reinforcement learning method Q-1 learning is used to solve this multi-stage dynamic decision-making problem and find the optimal decision-making function.According to the optimal decision-making function,a targeted teaching scheme can be given to students with any characteristics and behavior.The experimental results show that under the teaching mode of big data age,college students’English level has improved significantly,their English scores have increased by more than 25%,and their class efficiency has increased by more than 46%.The teaching mode of big data age is the trend of future development.
Application of Data Mining Technology in Portfolio Optimization
Authors: Hu GuoRong , Liu Hui 
Published: October 2020

Abstract
With the development of the times and the progress of society, the level of human science and technology is constantly improving. A large number of scientific and technological forces help us to work and study in our daily production and life. In this era of big data, data mining technology is a hot technology in the current era, and it can be found in many industries in many fields. People analyze and manage the information in our daily life through big data technology. But in this era of rapid development, the traditional big data information analysis and management ability can not meet the new needs of the new era, and the emergence of data mining technology can fully meet the needs of information data processing in the new era. In order to better study the portfolio optimization problem in this era of big data, this paper proposes a method of integrating data mining technology with portfolio optimization problem, and makes full use of data mining technology. In a large number of portfolio optimization problem data, the relevant data are accurately analyzed and efficiently managed, so as to reasonably optimize the portfolio Research. It is found that the method proposed in this paper is of great significance to the application of data mining technology in portfolio optimization.
Computer Vision Based on Computational Intelligence and Its Application Analysis
Authors: Huang Feiyu 
Published: October 2020

Abstract
Under the background of modern information technology intelligence, the comprehensive processing technology formed by the processing and calculation of information and data. The purpose of this paper is to analyze the vision application under the intelligent computer, and the computer and technology application based on intelligent integration is to scientifically design various computer sectors by expanding and extending the functions of the computer. The method used in this paper is based on face recognition in computer vision. First, image recognition is used as the image description, and then the feature points are used to extract the K-means clustering algorithm. The clustering algorithm is used to determine the k value of M., Then clustering can get M keywords, generate a classification model using the independent features of the histogram, and then use local and global visual features to extract computer vision recognition data with obstacles. Experimental research results show that computer vision is an important development direction of artificial intelligence, which uses cameras and computers instead of human eyes to perceive, recognize, track and measure targets, obtain three-dimensional information of corresponding scenes, and process captured pictures or videos.
Generation System of Dispatching Order Sheet for Distribution Network with Self Checking Function Based on Generative Countermeasure Network
Authors: Jie Huang , Qing Ge , Kuanhong Li , Yuxing Chen , Ling Ye 
Published: October 2020

Abstract
Although the recent wave of artificial intelligence research led by deep learning has achieved very good results in the field of supervised learning. Unsupervised learning, as a method that can truly allow computers to learn from unlabeled real data from the real world, can avoid tedious and unavoidable data labeling work in supervised learning. If you want a computer to better understand the complex real world, the best way is to let the computer generate a representation of the real world in a certain way. The first thing needed to accomplish the above goals is the generative model. The most outstanding performance in generative models in recent years is the variational autoencoder and generative confrontation network introduced in this article. As an extension of the autoencoder, the former is a good combination of deep learning ideas and statistical learning. The high-dimensional distribution of the image can be reduced through the encoder network, and then the decoder network can be used to achieve low-dimensional Data distribution automatically generates an image similar to the original image. Therefore, in the subsequent improvement, the researchers took the advantages of combining the variational autoencoder and the generative confrontation network. The experimental results show that this paper has jointly trained VAE and GAN and achieved good results. However, due to the inherent shortcomings of the original generative adversarial network, the combination of the two still cannot achieve very good results.
Research on IT Management and Service of Small and Medium Sized Libraries Based on Cloud Computing and Virtualization Technology
Authors: Kong Jie 
Published: October 2020

Abstract
At present, digital resources have become an important part of the collection resources of modern small and medium-sized libraries. As a new technology, cloud computing technology has been widely used in the field of small and medium-sized libraries, and has just begun to enter the vision of professional researchers. This paper studies the application of cloud computing and virtualization technology in IT management and service of small and medium-sized libraries. In order to better understand the application and help of cloud computing and virtualization technology in IT management and service of small and medium-sized libraries, this paper applies cloud computing and virtualization technology to it management and service in a university library, and then carries out a survey and statistics of the figure The library has developed a questionnaire to investigate the library staff and readers’ feelings about the application. The results show that under the support of cloud computing and virtualization technology, IT management and service for small and medium-sized libraries can significantly improve the management efficiency and service quality of libraries.
RETRACTED: Financial Risk Control of Sports Industry Based on Big Data
Authors: Lan Kaihui 
Published: October 2020

Abstract
With the widespread use of Internet big data, all walks of life are developing rapidly, among which the sports industry has also encountered new development opportunities and challenges. Based on the background of big data era, this paper studies the financial risk control of sports industry in the era of big data. This paper will first give readers a specific introduction to what is big data and let them know the main characteristics of the era of big data; then, it will analyze and further discuss the potential financial risks in the sports industry; finally, it will study the development of sports industry and how to control financial risks in the era of big data. In the analysis, this paper through the investigation of the development trend of the fitness industry, shows that there are risks in the fitness industry, and this risk is fatal to the fitness industry. Then, based on the background of big data, this paper puts forward corresponding suggestions on the risk control of the fitness industry, hoping that this study can provide certain reference for the healthy development of the fitness industry.
Computer Network Security Analysis Modeling Based on Deep Learning Algorithm
Authors: Li Yinxing 
Published: October 2020

Abstract
With the continuous development of human civilization and the continuous progress of computer technology, computer network has been widely used in our life, which has brought great convenience to people’s production and life. As the computer network plays an increasingly important role in daily life, the security of computer network has been paid more and more attention. Therefore, this paper studies the modeling of computer network security analysis based on deep learning algorithm. Starting from the types, levels and main problems of security needs, this paper analyzes the threats faced by the system equipment, access rights, and the main connection relationship, and makes a visual description of the network threats from the perspective of the purpose of the attack is to enhance higher permissions. The security analysis and modeling work is applied to the security fault tree method of computer system and the attack method of network information system. Through research and analysis, starting from the current state of computer network security, this paper deeply studies the analysis and modeling of computer network security, and realizes the evaluation of current computer network security. The accuracy rate of the proposed method for intrusion detection reaches 91.6%.
UAV Inspection Path Planning Based on Transmission Line Technology
Authors: Liu Wuneng , Liu Lilong , He Gengli , Li Peng 
Published: October 2020

Abstract
With the continuous progress of human society and the rapid development of economy, the power industry closely related to human production and life is also developing rapidly. Electric power industry is also playing an increasingly important role in the development of national economy. Subsequently, transmission security becomes more and more important. However, at present, the traditional single manual line inspection has the characteristics of high labor intensity, high safety risk, high safety risk, low operation efficiency, and many deficiencies seriously restrict the intelligent transformation of transmission line operation and maintenance. Therefore, this paper proposes a new transmission line detection scheme based on unmanned aerial vehicle (UAV) detection path planning. Transmission line detection system based on UAV and ground monitoring equipment basically meets the requirements of transmission line detection. It is found that the UAV based transmission line inspection work arrangement efficiency is higher, and the fault detection rate is higher. The accuracy rate of UAV line inspection method proposed in this paper reaches 93.7%, which can effectively reduce the workload of staff and improve the work efficiency.
Cloud Platform System for the Diagnosis of Typical Tea Plant Diseases Based on Neural Network
Authors: Yang Jian 
Published: October 2020

Abstract
Based on the analysis and investigation of the traditional artificial diagnosis of typical tea tree diseases, it was found that the artificial diagnosis had low efficiency and high error rate, so the typical tea tree diseases could not be caused by the timely and correct use of pesticides, thus reducing the yield of tea tree. Aiming at the above problems, this paper mainly studied the cloud platform system for the diagnosis of typical tea tree diseases based on neural network. This system is a typical tea tree disease intelligent diagnosis cloud platform system based on Java EE standard 3-layer B/S structure. The system realized the intelligent diagnosis of typical diseases of tea tree, as well as the maintenance and browsing of relevant knowledge information, so that users could consult the detailed information of diseases, and combined with the diagnosis results output by the system, take effective prevention measures, providing strong support for tea tree production. By testing the neural network, the average diagnostic accuracy of the four experiments is 83.5%. The experimental results show that it is feasible to use neural network to diagnose typical tea plant diseases.
The Training Mode of Individualized Music Teaching Talents in Universities Based on Big Data
Authors: Yang Ye Xiang 
Published: October 2020

Abstract
The Internet and big data have deeply penetrated into various fields, which has greatly affected and changed our music education. The purpose of this article is to explore the cultivation of personalized music teaching talents in universities based on big data, with a view to promoting the cultivation of personalized music talents in universities under big data. This article conducted a questionnaire survey on some students majoring in music in our sophomore and junior colleges. Through analysis, it can be concluded that 85.29% of the students believe that the school’s music teaching method is relatively traditional and the talent training model is backward; 74.51% of the students think that the school has neglected personalized training and still adopts the traditional "one size fits all" teaching model. Based on this, the recommendations for the cultivation of personalized music teaching talents in colleges and universities are put forward, which is expected to meet the personalized and diverse music learning needs of students and promote the cultivation of personalized music talents in my country.
Intelligent Multi-drive Inspection and Positioning Method for Water Environment of Cable Pipe Corridor Based on Artificial Intelligence
Authors: Zhou XueFeng , Zhao PeiFeng , Cheng Yuan 
Published: October 2020

Abstract
The running environment of underground power cables is hidden, and it is difficult to identify the cables in the parallel cable trench, which is not conducive to the rapid troubleshooting and accurate positioning of faults. However, the traditional manual inspection method has some defects, such as difficulty in finding, recording, low efficiency and inconvenient re-use of inspection information. Based on the above background, the purpose of this study is to explore the intelligent multi drive inspection and positioning method for water environment of cable pipe gallery based on artificial intelligence. Based on the analysis of the existing cable tunnel water environment inspection technology, this paper introduces the basic theory of machine vision and artificial intelligence to analyze the requirements of the water environment inspection and positioning method of the cable pipe gallery. Firstly, an intelligent multi drive inspection and positioning overall structure is designed. Secondly, aiming at the problem of unattended cable tunnel water environment inspection and navigation positioning, A monocular vision navigation scheme based on guide line is developed, which includes two parts: walking along the line and detecting the fixed point. Through the intelligent multi drive inspection and positioning method, the work efficiency of the water environment inspection of the cable tunnel is greatly improved. The reference error of the identification method is less than 1.8%. At the same time, the inspection data can be completely saved, which is conducive to the early warning of cable equipment defects and the analysis of the development trend, and the reliable and stable operation level of the field equipment and power grid of the cable tunnel is improved.