bluuebunny/crossref_metadata_2025_split huggingface dataset:
RETRACTED: A Relationship Model between Teachers’ Scientific Research Output and Teaching Ability based on Big Data Analysis
Authors: Wang Mingxing 
Published: March 2020

Abstract
The relationship between scientific research and teaching is a focal point in the development of higher education. In different environments, the relationship between scientific research and teaching has different characteristics. With the continuous development of society and economy, the teaching and research in universities are facing new demands. The former elite education model is facing unprecedented challenges, and the relationship between teaching and research is being re-examined. At present, the research on the relationship between scientific research and teaching is mainly based on questionnaires. This paper USES big data analysis to design a model of the relationship between teaching and scientific research, and further empirical analysis of the relationship between the two. The aim is to deal with the relationship between teachers’ teaching ability and scientific research output correctly, promote the coordinated development of scientific research and teaching, provide a more favorable environment for the benign development of higher education, and further promote the development of colleges and universities in China.
RETRACTED: Method of Constructing the Innovation Service Platform of Colleges and Universities based on Artificial Intelligence
Authors: Du Lina 
Published: March 2020

Abstract
With the promotion of AI to national strategy, it will have a profound impact on various industries in China. Colleges and universities should follow the trend of the times, seize the pace of the “Ai” era, and apply “Ai” to the service platform of colleges and universities. The purpose of this paper is to study the application of artificial intelligence in service platform. First, the paper analyzes the technology of artificial intelligence, puts forward the way that artificial intelligence can build university innovation service platform, and defines the construction method of University wechat innovation service platform. Using the method of questionnaire, based on the theoretical analysis and network survey, the questionnaire is designed. The users of the regional university library are selected as the survey objects, and the questionnaire is distributed within the scope of the University. The experimental results show that in the investigation of the reasons for the readers’ infrequent use of the library’s personalized services, according to the investigation of all the problems that may lead to the readers’ infrequent use of the library’s services, 48.2% of the readers expressed that they did not understand the library’s information resources; 38.85% of the readers thought that the library’s services were lack of personalization and pertinence and were open Communication with new media platform is also the inevitable direction of the development of University Libraries and service systems in China.
VR Painting Technology of Theme Creation
Authors: Li Shibing 
Published: March 2020

Abstract
Since the founding of the People’s Republic of China, from MAO zedong to xi jinping always adhere to the cultural construction in the important position of national construction, adhere to the leadership of the party for cultural construction, adhere to the guidance of marxism for cultural construction, adhere to the “use of the past for the present” “foreign for the use” construction of new socialist culture. In cultural construction, it is urgent to develop the theme creation related to culture. At the same time, with the gradual development of artificial intelligence, VR (virtual reality) has gradually entered people’s vision, and VR has also been combined with innovation in various fields. The purpose of this paper is to study the mechanism of combining VR and painting technology on the premise of subject creation. In this paper, from the perspective of theme creation, with the strategy of “VR +” as the background, combined with the realistic background and the related theoretical research, to promote the development of VR painting technology as the research object, from the possibility and necessity of VR painting technology development two aspects of analysis, combined with literature analysis in VR painting theme creation technology can be from what respect to innovate and improve, on the basis of this puts forward Suggestions of technical innovation and development of VR painting and plan, in the hope of theme creation VR painting technology development to a higher level, for the development of VR broaden the field. The experimental results show that VR painting technology can alleviate some difficulties in theme creation, promote the innovative development of theme creation, realize the new development of cultural construction, and enable more new art forms to sprout in cultural construction.
Application of Artificial Intelligence Technology in Basketball Games
Authors: Liu Zhenghao 
Published: March 2020

Abstract
With the vigorous development of computer technology, artificial intelligence technology has also been greatly improved, and its application in sports competitions has become more and more widespread. The basketball game is a fierce rivalry under the team. In addition to testing the physical fitness of athletes, the ability to independently coordinate and plan athletes needs to be tested. Artificial intelligence has great application value in basketball games. Applying artificial intelligence technology to field decision-making in basketball games, real-time display of basketball game field data in real time, assisting coaches in field analysis and decision-making, can provide targeted training goals for daily training, and has strong application value. In this paper, an artificial intelligence assisting system for basketball game field decision-making is constructed to explore the application of artificial intelligence technology in basketball games. This paper tests the system proposed in this article through simulation experiments. The test results show that in the module test, the module error rate is 0.5%, the reliability is high, the module functions can be basically realized, the system responds quickly, and the security is high. The results of this paper will provide a good paradigm role for the application of artificial intelligence in sports competitions.
Analysis of the Application of Artificial Intelligence in Computer Networks Technology
Authors: Chen Changhua 
Published: March 2020

Abstract
With the development of information technology and the continuous improvement of development level, artificial intelligence technology has also made better development. There are more and more application scenarios of artificial intelligence technology in computer networks, and it also plays a key role. Aiming at the shortcomings of traditional computer network routing methods such as slow iterative convergence and high resource occupancy, this paper proposes an artificial intelligence routing method based on optimized PSO. Based on the principle of the PSO algorithm, a mathematical model for optimal link optimization of a computer network is constructed, and local optimization is performed for the shortcomings of the classic PSO algorithm. The optimal path labelling function is given to the particles, and the optimal network is identified by continuously updating the current position and current speed. Link topology and travel path. Simulation results show that the proposed artificial intelligence method has faster iterative optimization speed, lower network delay, lower hardware resource occupancy under the same number of nodes and network structure, and can improve and improve the foundation of computer networks.
Design and Research of Intelligent Seats for the Elderly
Authors: Lu Xiaomeng 
Published: March 2020

Abstract
This paper takes SCM of arm31 as the core to upgrade the function of intelligent seat for the elderly. To ensure that the SCM system can directly take over the system to form an automatic risk change out when the seat is in a dangerous state such as uncontrolled sliding and excessive three-axis inclination. At the same time, the system uses iFLYTEK voice recognition module to realize the voice control of the seat, and the system uses the vital signs related app of the contracted hospital to realize the automatic alarm function of the hospital. The use of the seat can effectively improve the daily out safety of the elderly. It is very important to improve the quality of life of the elderly.
Intelligent Application of Intelligent Technology in Network Security Defense
Authors: Jiang Lan 
Published: March 2020

Abstract
Intelligent technology, which began to appear and gradually developed in the second half of the last century, is now in the forefront of science and technology and is the benchmark of the level of computer in a country. With the rise of intelligent technology, the network tends to be more and more open, the attacks are more and more intelligent, and there is a lack of security defense technicians. After the intelligent technology has been widely used in spam processing, illegal intrusion detection, expert system and other network security defense, the network security defense has become more secure and reliable than ever, and the security has been well guaranteed.
Application of Music Artificial Intelligence in Preschool Music Education
Authors: Yu Lin , Ding Jiaran 
Published: March 2020

Abstract
AI teaching is an important part of Internet + education and intelligent education, and also an inevitable trend of the times. Through the automatic language and language sense recognition processing technology, the robot can sense the life scene and voice emotion of infants, and automatically recognize and play functional music. Artificial intelligence develops rapidly and is widely used in various fields. Music robot with certain neural network can understand music, analyze music and create music. In the field of professional music education, all kinds of new interactive teaching music intelligent system based on music artificial intelligence technology will be a new mode of perceiving music, cognitive music, creating music and music education.
Research on the application and security of artificial intelligence in financial industry
Authors: Li Ping 
Published: March 2020

Abstract
Artificial intelligence technology is a new industry, which affects the world in a unique way. In the 21st century, artificial intelligence has reached the peak of stage, which has become the representative of emerging technology. In the financial field, artificial intelligence has been fully applied, which improves the prosperity of the financial industry. However, artificial intelligence technology also increases the instability and risk factors of financial industry. This paper first analysis the application of artificial intelligence in the financial field. Then, this paper puts forward some security problems. Finally, some suggestions are put forward.
Design of Electromagnetic Sensing and Infrared Obstacle Avoidance Tracking System Based on K60
Authors: Zhang Baojian , Yu Zhengqiang , Zhou Caihong , Luo Hao 
Published: March 2020

Abstract
With the development of robot technology and industrial automation, the manufacturing mode based on robot and intelligent equipment has been started. Intelligent tracing Automatic Guided Car (AGV) is a typical application of industrial robot. Based on MK60DN512ZVLQ10 (K60), an embedded system for electromagnetic sensing and infrared obstacle avoidance is designed. Based on the 32-bit single-chip microcomputer K60 produced by NXP, an embedded tracking system for intelligent cars is designed and implemented, which is based on electromagnetic sensing and infrared obstacle avoidance. According to the electromagnetic track laid in advance, the arrangement structure of the inductance coil and the core tracking algorithm and program are designed according to the track elements, and the automatic tracking and obstacle avoidance functions of the car are realized under the condition of no human operation. This design adopts low-cost inductance coil, which is convenient to change the track path in different environment, instead of the high-cost and hard-to-switch track path in the past, and provides a reference plan for intelligent control such as unmanned driving.
Development of intelligent warehouse management system based on Internet of things technology
Authors: Pang Lele , Yang Wenyong , Xia Bo , Cheng Zhanfeng 
Published: March 2020

Abstract
With the development of electric power enterprises, the types and quantity of storage management materials are also increasing. With the rapid increase of warehousing frequency, warehousing management is very complex and diversified. The traditional manual warehouse operation mode has been difficult to meet the rapid storage management, which will seriously affect the operation efficiency of enterprises. By improving the intelligent warehouse management system, we must use RFID application technology, visualization technology, etc., which will improve the efficiency of material management. By reducing the cost of material management, we will achieve the optimal management of warehouse materials. Firstly, this paper analyzes the development trend of storage management and RFID technology. Then, the whole idea of system design is established.
Research on Library Information Work based on Internet Big Data
Authors: Zhang Ning , Xu Minmin , Wang Chuanfei 
Published: March 2020

Abstract
With the gradual formation of big data environment and Internet + social environment, the library and information work has undergone tremendous changes. Big data work has become the main body of Library and information work. This paper focuses on the analysis of the content of Library and information work and the responsibilities of librarians, and studies the working methods and personal development mode of Librarians in the big data environment. In the near future, library and information major will be in front of us with a new face. Library and information management personnel should constantly enrich themselves, constantly accept challenges, and actively adapt to the change of work content and work methods.
Analysis of Intelligent Pick-up Terminal Based on Mobile Internet
Authors: Huang Yi 
Published: March 2020

Abstract
Given the problems of low work efficiency, misplaced delivery and pick-up time, difficulty to build brand image, etc. in the logistics industry, a design scheme for intelligent pick-up terminal based on the mobile Internet is proposed. Firstly, the current status of the last mile delivery in the logistics industry is introduced. Various problems in the distribution are identified. Subsequently, the system architecture, hardware block diagram, and software flowchart of the design are described. The design has implemented intelligent distribution, which can improve logistics distribution efficiency and establish the brand image effectively.
Current Situation and Problems of Smart City Development in China Based on Big Data Analysis
Authors: Li Zhen , Han Peng 
Published: March 2020

Abstract
With the steady progress of China’s urbanization process, the smart city construction is also rising quietly. At the same time, the advent of the big data era has also provided new ideas for the construction and development of smart cities. In this paper, mainly the corresponding strategies for the construction and development of smart cities in the era of big data are proposed through the understanding of the features of smart cities and the positive role played by big data in the smart city construction.
Design and Implementation of Intelligent Tutor System for Training of Scalpel Operation
Authors: Yu Meng , Zhang Peng , Zhang Weitao 
Published: March 2020

Abstract
In order to improve the effect of knife-holding training and reduce the requirement of experimental environment, an intelligent tutor system for knife-holding training is designed and studied. The system can simulate the anatomy working scene, and has the function of intelligent recognition of scalpel holding technique and movement. It can also automatically complete the whole experiment teaching process, such as knife-holding training task layout, precise monitoring of training process, multimedia interactive training guidance, training result evaluation, educational administration management and so on. The experimental results show that the new design concept and practice method of the system are of great significance for reference and popularization.
Railway Transportation Dispatching System Based on Mobile Internet Technology
Authors: Di Junhui 
Published: March 2020

Abstract
With the continuous development of mobile communication and Internet technologies, the development and research of software applications based on mobile Internet have also entered the blowout development stage. At the same time, the shortcomings of traditional PC desktop applications, which lack portability, have been gradually enlarged. What has emerged are the rapid development of Web applications and mobile applications, and the emergence of new concepts such as mobile office. To this end, this article studies the design and implementation of a railway transportation dispatching system based on mobile Internet technology. On the basis of the existing office supervision method of the railway supervision company and the on-site supervision method of the supervision engineer, based on the MQTT protocol, it implements the active push of messages, develops basic supervision and to-do tasks modules. During the design and development of this system, the Web end will apply the current popular responsive web development technology to enhance the user’s interactive experience on a variety of different platforms. This system uses an object-oriented analysis method to design the architecture of the railway transportation dispatching system. After a detailed design analysis, a complete set of railway transportation dispatching solutions is proposed.
Application of Video Recognition Technology in Sports Stunt Teaching
Authors: Wang Ming 
Published: March 2020

Abstract
In recent years, with the rapid development of sports in our country, the national importance of sports is also increasing. In order to further improve the level of physical education in our country, we began to pay attention to the teaching of physical stunt. Sports stunt is difficult and dangerous. These characteristics determine that sports stunt teaching should improve teaching efficiency as much as possible. Therefore, the decomposition and identification of sports stunt is particularly important. The traditional sports stunt teaching can not identify the movements accurately, which brings some difficulties to the sports stunt teaching. Video recognition technology provides a new means for the teaching of physical stunt and greatly improves the teaching effect. This paper first gives an overview of video recognition and sports stunt, analyzes the advantages of video recognition technology in sports stunt teaching, and analyzes its feasibility based on data feature screening algorithm. It not only promotes the further integration of video recognition technology and teaching, but also deepens the research on this aspect.
Power Environment Warning Prediction Model Based on Big Data Association Rules
Authors: Zhang Dongfang , Yu Liangliang , Wang Ou , Ning Liang 
Published: March 2020

Abstract
With the rapid development of power communication network, power production and operation put forward higher requirements for the stability of power communication network. The power environment system can collect the operation status of communication power supply, equipment and other related alarm information as the basis for troubleshooting. However, due to the failure of a device, there will be some columns of linkage alarm, which increases the difficulty of fault location. In order to solve the above problems, this paper uses the method of big data association rules to carry out data deep mining, and makes in-depth analysis on the location and prediction of power environment fault alarms. Through the correlation between power environment alarms, this paper puts forward the analysis and prediction method of power environment alarms, and realizes the prediction of power environment alarms through the analysis of big data association rules. Based on the in-depth analysis of the Apriori algorithm, this paper designed an improved Apriori algorithm which is suitable for power environment alarm prediction, and greatly improves the efficiency of the algorithm.
Optimization of Degradation of Emulsified Oil by Microbial Missile Using Response Surface Methodology
Authors: Tong Wei , Wang Mingyu , Zhang Shaojun , Zhang Zhen 
Published: March 2020

Abstract
Optimal conditions for microbial missile degradation of emulsified oil were predicted using the response surface method designed by Box-Behnken. The effects of the concentration of sodium alginate (SA), the concentration of calcium source (CaCO3), the calcium ion chelator (CaCl2), and the pH value on the degradation efficiency of oil pollution were investigated using calcium alginate gel as a matrix. The results show that the model fitting accuracy R2=0.9739, the concentration of SA, the concentration of calcium source, the concentration of calcium ion chelator and the pH value have a great influence on the response value of the degradation rate of emulsified oil. The model predicts that the optimal reaction conditions are SA concentration of 21.27 g/L, calcium source concentration of 29.71 g/L, calcium ion chelator concentration of 32.33 g/L, and pH is 8.56. The predicted degradation rate of emulsified oil reaches 71.50%. The model was further verified by experiments. The average value of the four experimental degradation rates under the optimal conditions was 71.61%, and the deviation was 0.11% compared with the predicted value. This proves that the method can be used to optimize the process parameters of microbial missiles to degrade the emulsified oil, provide optimized solutions for the treatment of actual oily wastewater.
Vision Guiding System Based on Strong Positioning and Hand-eye Calibration
Authors: Du Gang , Zhang Shanwen 
Published: March 2020

Abstract
In order to solve the current localization algorithm big background interference affects calibration methods exist damage, physical contact with the workpiece material on the surface of the problem, hand-eye calibration was proposed based on strong orientation and three visual guidance system. First, deepen the Hessian matrix, using Gaussian filter, using the maximum inhibition precisely determine the feature points and direction, in order to construct surf feature points description, finish strong positioning operator based on surf, to remove the background and the ambient light interference, the purpose of accurate positioning center of the target with Angle. And then put forward three points calibration method, calculation scale rotation matrix and translation matrix parameters, complete the Robot world coordinates and binding mapping camera image coordinates. Finally, program implementation algorithm and system, the experiment results showed that compared with the current workpiece material transfer system, this system has higher goal orientation and calibration transfer success rate.