bluuebunny/crossref_metadata_2025_split huggingface dataset:
RETRACTED: Design Method of English Education Informationization Platform Based on 5G
Authors: Ou Guofang 
Published: March 2020

Abstract
In recent years, when carrying out educational activities, modern information technology and Internet technology have been integrated with each other to form a variety of educational information platforms, which have gradually replaced the traditional education and teaching methods. Using Internet thinking to improve the application level of education informatization is helpful to improve the quality of education and is of great significance to comprehensively promote the quality education of students. English is an important subject in student learning activities. English learning can improve the comprehensive ability of students, promote the healthy development of students, and enable students to better meet the needs of society. In order to improve learning efficiency, optimize the learning platform, and meet the needs of users, it is imperative to establish a 5G English education information platform. 80% of people in the current society are expecting the arrival of 5G platforms. Considering that in a high-density scenario, the number of terminals is large and the traffic is intensive. If the event scheduling method is still used to process data packets, there will be problems of too many event generations and too long processing time. Computing packet processing architecture. This architecture divides the time axis into multiple time slots. Based on the length and generation time of each data packet, the source terminal number of each data packet is mapped to the corresponding time slot position. By calculating the effective signals and interference in each time slot The strength of the signal is used to obtain performance indicators such as system capacity and throughput.
Application of Data Mining in Cultivation of Student Mental Health
Authors: Qin Huanchang , Wu Zaiqun , Wang Meisuo 
Published: March 2020

Abstract
Under the education concept of new era, colleges and universities need to focus on cultivation of students’ mental health besides the necessary quality education. Effective planning and decision-making of mental health education help students establish correct outlook on life and values, with great significance on their comprehensive development. With the rapid development of science and technology, data mining technology has been gradually applied to cultivation of students’ mental health. The work focused on the application of data mining in mental health education of students. Through rational application of data mining technology, the current models of mental health education for college students were further improved to provide reference for future mental health education.
Development and Realization of Web - Based Tourism Service Platform
Authors: Ke Ma , Wu Lei 
Published: March 2020

Abstract
The rapid development of the Internet and other new technologies has obviously caused a fatal blow to the traditional tourism model, the original tourism model and service platform can no longer attract the attention of the customers without active transformation. On the other hand, new tourism service platforms such as Meituan, ctrip and tuniu, which mainly rely on new Internet technologies, are developing rapidly. Against this background, more and more Internet technologies favor APP development software focusing on individual consumers, while web-based travel service platforms are increasingly weak. The main purpose of this paper is to develop a web-based tourism service platform to meet the consumption and interaction needs of a larger consumer group. In terms of methods, this article selects the Mysql as the database storage platform, graphical interface with Myeclipse as development tools, the construction of the site focus on combining Hibernate + Spring + Struts assembly technology, in terms of the choice of architectural patterns, in this paper, using the MVC pattern is more convenience, Tomcat6.0 version, server mode is used in order to ease the pressure on the server. The experimental results show that the tourism service platform designed in this paper has strong operability and convenience, which greatly improves the efficiency of tourism information transmission, saves the cost of publicity and improves the work efficiency.
Monitoring and Evaluation of Marine Economic Operation in the Information Environment
Authors: Liang Yinuo 
Published: March 2020

Abstract
In recent years, with the continuous progress of science and technology, the available space in the ocean has become more and more extensive. The rapid development of the marine economy has also directly driven China’s economic development, and has made great contributions to the growth of China’s GDP. The exploitation of natural gas, natural gas and other resources has greatly increased China’s non-renewable resource reserves, and has made great contributions to China’s resource problems. However, it is difficult to process the monitoring data of the marine economic operation so that good resource utilization cannot be achieved, which has become a difficult problem in China and a major social problem. The purpose of this article is to study the monitoring and evaluation of marine economic operations in an information environment. This paper combines information technology to study the problems encountered in the monitoring and evaluation of marine economic operations and analyzes the marine related industrial structure, thereby reflecting the advantages of monitoring and evaluating marine economic operations in an information environment compared to previous advantages, reducing The storage is not complete, the huge data is difficult to mine and the impact of the timeliness of the data. Fully share the marine economic monitoring operation data in various regions to facilitate the monitoring and evaluation of the marine economy, so as to maximize resource utilization and benefits. The experimental results show that information technology can solve the difficult problem of marine economic operation monitoring data collection, processing, analysis and evaluation, and realize data sharing in various regions, so as to achieve accurate evaluation of marine economic operation.
Application of Computer Information Technology in the Reform of Law Classroom Teaching Method
Authors: Chen Sisi 
Published: March 2020

Abstract
In the context of the Internet, various information transmission methods are more convenient. The network is open and can share resources. Therefore, “Internet +” provides a new way of teaching in the field of education. In the process of law education in colleges and universities, teachers should make full use of the Internet to create a variety of teaching methods for students. Efficient use of information technology to promote continuous innovation and change in higher education models, creating a network and digital higher education system, laying the foundation for a harmonious society of learning at any time, anywhere, and everyone, and training innovative talent. The purpose of this article is to explore its application in the reform of law classroom teaching methods through computer information technology. This article establishes a legal resource database, creates a virtual legal classroom, and makes an electronic bulletin board to propose changes to legal education. It is concluded through experiments that under the teaching method of computer technology, students have improved significantly in all aspects of law. Under the traditional teaching method, students have only improved a small part in law study, and even declined in some aspects. Compared with traditional teaching methods, the effect of teaching methods under computer technology is relatively significant. In the former, it improved by 4.09 points on average, but the latter regressed by 4.02 points, and the former communicated a lot more than the latter. In terms of homework assignment, the latter overtimed about three times.
Application of Big Data Computing Model Based on Semantic Data Analysis Technology
Authors: Fan Ganglong , Shen Jian 
Published: March 2020

Abstract
Big data computing model refers to various high-level abstract models extracted and established from the diverse big data computing problems and requirements according to big data‘s different data characteristics and computational characteristics. In order to improve the data quality, a method of adding semantics to the data is proposed to help users identify big data’s pattern. In this way, we can make use of the semantic value of the data, detect big data, and propose a big data computing model through the semantic analysis of the data. The paper presents research on big data computing model based on semantic data analysis technology.
Application of Artificial Intelligence Technology in Mechanical and Electronic Pump System
Authors: Jiao Yanmei 
Published: March 2020

Abstract
With the rapid development of modern science and technology today, a variety of emerging technologies representing advanced productivity can not only greatly improve the effect of equipment automation, but also promote the overall quality and level of manufacturing equipment, and even to the greatest extent to avoid the occurrence of safety accidents caused by human factors. Recently, in the mechatronic pump industry has emerged with the development of artificial intelligence technology color, the complexity of its internal structure and the precision of electronic control system has even reached a jaw-dropping degree. Artificial intelligence technology involves a wide range of knowledge, and has a very high degree of complexity and technology, the use of mechanical and electronic industry will certainly promote the whole industry to a higher stage of development. It can be expected that if ai technology can be applied continuously and stably in the mech industry, then the integrated drive system is expected to achieve the goal of high turnover and low cost, and will achieve value compensation in terms of economy and efficiency by improving operation characteristics and saving energy.
Intelligent Selection Recommendation Algorithm in the “Double” Mechanism
Authors: Tang Chunhua , Chi Xiaoli , Tang Jinjun 
Published: March 2020

Abstract
Aiming at the phenomenon of blind selection during the course selection of college students under the credit system, the paper puts forward the most preferred course selection recommendation algorithm and the recommended course selection algorithm based on comprehensive evaluation of curriculum. The most preferred course selection recommendation algorithm uses 0-1 integer programming model to give the minimal courses and the maximum credits; the comprehensive evaluation of curriculum based on considering the students’ learning ability and learning interest gives he curriculum evaluation coefficient, students according to the curriculum evaluation coefficient can objectively and accurately select elective courses for their own development ability. These two elective courses conform to the actual situation of students’ elective courses, and can effectively guide students to select courses.
Optimization Method of Node Location Accuracy Based on Artificial Intelligence Technology
Authors: Wang Shiyao , Zhang Jianfeng , Liu Hongshuo 
Published: March 2020

Abstract
Wireless sensor networks(WSN) are one of the hot topics in current information technology research. With the diversification of wireless sensor network applications and the gradual maturity of node positioning technology for static networks, mobile node positioning technology. In order to find a method for optimizing the positioning accuracy of wireless network nodes based on artificial intelligence technology and improve the positioning accuracy, a large-scale simulation experiment is performed in this paper. After constructing a probabilistic model and conducting a large number of simulation experiments, a series of random variable samples are obtained. After statistical processing of these simulation samples, a solution to the problem is found accordingly. By comparing the average positioning error with the ML algorithm, it is found that the SA-L algorithm using artificial intelligence method has less dependence on the density of beacon nodes, improves the accuracy of network node positioning, and is more suitable for node positioning of WSN. Research shows that artificial intelligence technology can improve the accuracy of network node positioning and provide a lot of reference for the development of wireless networks.
Application of Artificial Intelligence Technology in Security Defense of Cyberspace
Authors: Huang Limin 
Published: March 2020

Abstract
In the process of its development and application, the computer network has created the virtual network space, and as the relationship with the computer network is becoming more and more close, the improvement of the security defense of cyberspace ability is becoming more and more urgent. The use of artificial intelligence technology in cyberspace security defense can not only accept and process a large number of Internet information quickly and efficiently, but also improve the security defense of cyberspace and prevent the infringement of illegal elements, which is a matter of great concern to every user. Based on the analysis of the characteristics of cyberspace security defense and artificial intelligence technology, this paper discusses the application of artificial intelligence technology in cyberspace security defense with examples.
Design of Remote Control System for Household Appliances based on Single Chip Microcomputer
Authors: Huo Haibo 
Published: March 2020

Abstract
With the development of society, people have higher and higher requirements for the convenience of life. Therefore, it is of great practical significance to study the remote control system of household appliances based on single chip microcomputer. This paper first introduces the common scheme of remote control technology of home appliances, then analyses the module of remote control system of home appliances based on single chip microcomputer, and finally gives the design scheme of remote control system of home appliances based on single chip microcomputer.
Use of Smart Phone Sports APP in College Sports Education under Information Background
Authors: Wang Dongsheng 
Published: March 2020

Abstract
With the continuous evolution of information technology, China has entered the information age, the use and promotion of smart phone is the inevitable trend of information evolution, but also an important sign of the information era. With large quantities of uses of smart phones, a large number of mobile apps have appeared, and different APP types have emerged. Currently, mobile apps have been applied in various fields, and gradually promoted to the field of sports education(SE), and various sports apps have emerged. The purpose of this paper is to chase down the problems existing in the use of sports APP in college SE by studying the use of smart phone sports APP in college SE under the background of informatization, so as to achieve the deep fusion of sports APP and college SE, and continuously promote the quality of SE. Firstly, this paper gives an overview of sports APP and college SE, and carries out use experiments of sports APP on the basis of information intelligence algorithm, analyzes the use situation of sports APP in college SE, and puts forward relevant use strategies on this basis. The experimental results show that the use of sports APP in college SE promotes teaching efficiency, but there are some problems at the same time, which must be paid enough attention.
Application of Human-Computer Interaction Technology in Laparoscopic Surgery
Authors: Liu Shi , Li Tingting 
Published: March 2020

AbstractWith the advancement of computer technology, virtual laparoscopic surgery has also developed rapidly on this basis. Following satisfactory clinical results achieved by 3D visualization technology, 3D printing technology, and mixed reality technology, human-computer interaction technology in virtual environments has real-time interaction. The advantages such as performance and real-time dynamic visualization have gradually entered everyone’s field of vision, and have gradually been used in many medical fields. At present, human-computer interaction technology in virtual environment has been widely used in laparoscopic surgery training at home and abroad.
An Online College Student Art Exhibition App Based on Virtual Reality Technology
Authors: Qiu Yahui , Xiao Yao , Jiang Tao 
Published: March 2020

Abstract
In recent years, with the rapid development of computer technology, virtual reality products showing a flourishing trend. It brings people into an immersive, interactive virtual reality world, we will apply it to the desig of students’s art exhibition App. Art college students will create many valuable works of art. Under the situation of the country’s vigorous promotion of innovation and entrepreneurship, we design a VR art exhibition marketing app to promote and sell students’ excellent art works through online display, which can motivate students to create and collaborate independently, improve their professional skills, and enable They engage with society as early as possible to increase employment. The online exhibition sales app for college students’ art uses network technology to show the functions of the real exhibition hall in the form of digital virtual reality. It uses the information structure of the Internet, and combines the work and business of traditional physical exhibition halls with marketing activities on the Internet to build the information exchange bridge required by exhibition halls. This app uses Unity 3D technology in conjunction with HTC Vive devices to design and implement a virtual pavilion. The model was created using 3DS MAX software, the material texture was drawn using Substance Painter software, and the interface UI was produced using Adobe Photoshop software to ensure a high degree of simulation of the virtual pavilion[1].
Construction of Emergency Dispatching System under the Background of Smart City with Big Data
Authors: Zhang Yu-Lin , Zhang Nai-Ping 
Published: March 2020

Abstract
With the continuous development of global technology, the number of smart cities is also increasing. The development of these cities is also accompanied by constant emergencies. Big data technology provides us with a way to optimize the city’s emergency dispatch system. In the context of smart city, it has become a trend to combine big data technology to construct emergency dispatching system. The key points of this article are the interrelation of emergency call areas and coordinated dispatch between smart cities. This paper studies possible games between different cities and proposes optimization methods. According to the processing process of material demand information flow, an emergency dispatching system framework of four parts, namely the requirements layer, the information layer, the session layer and the send layer, is constructed to provide reference for the practice of emergency management.
A fingerprinting Algorithm Based on Artificial Intelligence Genetic Algorithm
Authors: Wang Yong , Zhang Shaojun , Wang Ming-yu , Xiong Guangyou 
Published: March 2020

Abstract
Oil spill identification is an important means of investigation of oil spill through analysis and comparison of suspicious oil spill source. This paper proposed a GC/MS fingerprint fitting method based on genetic algorithm (GA) to identify the source of oil spill. In this method, dominant characteristic peaks were selected from the 3d fingerprint of the standard and stored in the prevailing characteristic fingerprint database (dominant database). Recessive characteristic peaks were screened out from the periphery of the dominant characteristic peaks of the sample and stored in the recessive characteristic fingerprint database (recessive database). Then a set of characteristic peaks was selected from the dominant library by GA to correct the characteristic peaks in the samples and automatically identify the similarity between the standard and the samples. Simulation calculation compared with experimental analysis results showed that the method to build a detailed identification of oil spill fingerprint was accurate and reliable. The method to identify the fingerprint peak can be clearly and accurately reflect the properties of the sample, which can be used for rapid automatic calculation of chromatographic fingerprint similarity, so as to strengthen sea spill accident discriminant scientific theory in identification, traceability and the application of legal liability.
Information Data in Geological Informatization Based on Cloud Computing
Authors: Li Yuanyuan 
Published: March 2020

Abstract
In recent years, China’s earthquakes have occurred frequently, and various problems have occurred in many coal mining areas. Geological information is informatized, which helps geological researchers to study information data, analyze the geological situation, and make corresponding countermeasures. The extensive application of information technology in geological surveys will greatly improve the modernization level of geological surveys. At present, the geological survey informationization work has entered the era of big data. How to break the limitation of independent management of the geological survey database and effectively integrate and share the massive geological survey data that has been accumulated, now it has become an ardent concern and urgent for geological survey informationization workers. Hope to solve the problem. The emergence and maturity of cloud computing technology provides a feasible solution to this problem. The research purpose of this paper is based on the research of information data in geological informationization of cloud computing. This article starts with geological information data, analyzes the characteristics of geological data, explains the necessity of geological informationization, builds a cloud computing information management platform, Geological information is realized in the function, and the research and analysis of the geological information data are performed. After simulation experiments, the cloud computing geological information platform built in this paper has high accuracy, and the error is not more than 5%, which verifies the feasibility of the platform.
RETRACTED: Song recognition in music library based on cloud computing
Authors: Du Lei 
Published: March 2020

Abstract
There are many types of music, and due to the increase of music creators and the development of the Internet, there have been a large number of music. Identifying songs in the music library is conducive to the management and operation of songs, and helps listeners to choose their favorite music. Aiming at this problem, this paper proposes a song recognition method in a music library based on cloud computing. This paper first analyzes the advantages of cloud computing technology, and then proposes a song feature recognition method. Based on the similarity matrix of musical notes, a criterion for selecting note features is given to identify songs in a music library. Finally, the song feature recognition method is combined with cloud computing technology for song recognition. Experiments show that compared with the musical note recognition method with feature weights and the musical note recognition method based on invariant feature extraction of musical notes, the song recognition method in the cloud-based music library proposed in this paper has higher recognition accuracy and faster recognition speed.