bluuebunny/crossref_metadata_2025_split huggingface dataset:
Design of Permanent Magnet Synchronous Motor for Electric Vehicle
Authors: An Zhiwen 
Published: April 2021

Abstract
In order to solve the problem of energy crisis and environmental pollution, the state vigorously develops electric vehicles. Permanent magnet motor is widely used in the selection of electric vehicle motor because of its high efficiency, high torque and stable operation at high speed. To a large extent, the power and economy of electric vehicles are affected by the driving motor, so it is very important to design a permanent magnet synchronous motor which can improve the economy and power of electric vehicles. This paper first introduces the structure and working principle of permanent magnet synchronous motor, and then analyzes which parameters in the structure will affect its output characteristics. Combined with the requirements of electric vehicle driving conditions, the stator winding, pole pairs, air gap length and other parameters are calculated, and then the finite element analysis software Ansoft / Maxwell 2D is used The motor model is established, and the simulation experiments are carried out under no-load, rated load, overload and flux weakening conditions to verify the possibility of meeting the basic requirements of the electric vehicle for the drive motor; the inductance parameters, torque power angle characteristics and motor efficiency distribution of the motor are simulated and analyzed.
Customer Management Decision Model and Algorithm Based on Enterprise Sales Forecast
Authors: Zhang Ge 
Published: April 2021

Abstract
With the advancement of scientific concepts and technology and the need for the steady development of the corporate market, customer assets, as an important intangible asset of a company, have received widespread attention and become one of the key elements for measuring the market value of a company. Therefore, customer analysis has been paid more and more attention by enterprises. The purpose of this article is to study customer management decision-making models and algorithms based on enterprise sales forecasts. This article summarizes customer behavior analysis and enterprise sales forecasting, analyzes and compares the main mathematical models and algorithms used in the two on the market, and determines a relatively suitable model and algorithm on this basis. This paper improves the selected models and algorithms. This paper uses genetic algorithm theory to re-optimize the weights of the state transition probability matrix of the established prediction model; then combine the actual business requirements and related modeling software to make the proposed new model and algorithm are tested. This article improves the traditional customer behavior analysis and analyzes it together with the company’s sales forecast. Through the dialectical analysis of the two, analyze the dynamic relationship between the customer behavior status and the expected performance of the company, and adjust the customer behavior status by clarifying the relationship, so that the decision-making based on customer behavior can be more accurate to meet the best interests of the company. Experimental research shows that the accuracy of the prediction model proposed in this paper is 85.6%. The result proves that this forecasting system can reduce the cost of the enterprise to a certain extent, extend the life cycle of the enterprise, and stabilize the normal operation and rapid development of IT enterprises.
The Innovation of Tourism Management Mode Based on Computer
Authors: Ma Shuoyan 
Published: April 2021

Abstract
With the continuous expansion of the scale of tourism business, various project charges, customer conditions and travel routes in the process of tourism business operation are becoming increasingly complex. Business operators only rely on manual processing of a large number of data, which is easy to cause many problems such as missing information, high error rate of information, waste and idle of a large number of resources. The purpose of this paper is to study the innovation of tourism management model based on computer. The MVC framework studied in this paper can be built into a reusable system framework. Web application framework is required to be able to insert the basic components and component packages of web applications on J2EE architecture, so that the framework can be applied to other similar systems without any changes, and an efficient application system and reusable system framework can be constructed. This paper analyzes the tourism complaint management mode and tourism project management mode. The experimental results show that the processing process of tourism complaints management has been completed, accounting for 30%, indicating that for the tourism complaints that have been handled, the platform based on B / s network tourism management mode can get timely feedback data.
A Study on Intelligent Tourism App Based on Artificial Intelligence
Authors: Xue Jia 
Published: April 2021

Abstract
With the rapid development of science and technology and the rapid development of network applications, the Internet era has been promoted, and the popularity of smart phones has made great changes in people’s way of life. More and more rely on mobile phone applications to deal with the scale of life. At the same time, with the improvement of material living standard, people pay more attention to the pursuit of spiritual life, travel will become the perfect choice to relax body and mind, and smart phone tourism application (tourism app) is the basic way to realize intelligent tourism. The National Tourism Administration of the people’s Republic of China issued a holiday tourism information circular saying that during the 2012 Mid-Autumn Festival National Day Golden week, 119 scenic spots in the country received 34.2456 million tourists, an increase of 40.7 percent over the same period last year, and the number of tourism complaints increased significantly. Tourist satisfaction is not optimistic. Intelligent tourism is the inevitable trend of the development of tourism in the world, and strategic demand for the transformation and upgrading of tourism in China.
Teaching Management Work Model of Higher Vocational Colleges Based on Computer Technology
Authors: Ou Chuxiang 
Published: April 2021

Abstract
With the rapid development of computer technology in modern society, it has had a large and small impact on all aspects of our lives. Among them, the one million enrollment policy has a great impact on the future development path of higher vocational colleges, and the teaching management mode of higher vocational colleges based on the one million enrollment policy has also undergone great changes with this policy. In this situation, the teaching management mode of higher vocational colleges has major challenges and rare opportunities. In meeting these challenges and opportunities, higher vocational colleges should use computer technology management methods and innovations derived from computer technology. The method is applied well. This article is based on some problems such as poor student base, insufficient teaching staff and old management methods faced by higher vocational colleges after the expansion of one million enrollment, and through the calculus algorithm in computer technology, it is based on computer technology. A series of research and discussion were conducted on the teaching management mode of the school after the enrollment expansion of one million. The enrollment expansion by one million in higher vocational colleges is of great significance for promoting the reform of personnel training policies, deepening the reform of the teaching management mode of higher vocational colleges, expanding the growth and development space of students, and alleviating the employment pressure of students. In the context of the expansion of enrollment based on one million in higher vocational colleges, such a large-scale increase poses new challenges to the faculty of higher vocational colleges, and the diversity of needs also poses new challenges to the teaching management mode of work, so many people The resulting complexity also poses new challenges to teaching management. To deal with these challenges, higher vocational colleges should deepen teaching reform, explore new ways to combine education and training; strengthen the construction of the teaching team; and innovate teaching management work models. The experimental results show that after the enrollment of higher vocational colleges under the computer technology is expanded by one million, the teaching management mode of higher vocational colleges should change.
Intelligent Application of Automobile Financial Service in Artificial Intelligence Era
Authors: Wang Xinhua 
Published: April 2021

Abstract
In order to ensure the safety of financing collateral, financial institutions usually entrust third-party logistics companies to supervise the financing vehicles in stores, and the supervision cost is borne by the dealers. However, in recent years, with the increase of labor cost, the pressure on dealers’ income is increasing; and there are frequent cases of third-party supervisors and dealers colluding to sell financing vehicles without permission, It causes the loss of financial institutions’ pledge and the increase of bad debts; Orion supervises the company’s huge compensation liability risk. How to find a more economical and effective financing vehicle management and control mode to avoid personnel risk is a subject that needs in-depth discussion for financial institutions, major automobile manufacturers and dealers. This paper proposes the application of intelligent supervision mode, the use of Internet of things technology, with the help of OBD equipment, certificate key electronic supervision box, combined with the system database, to build a supply chain financial platform, realize the intelligent, real-time identification, positioning, tracking and management of vehicles, ensure 24-hour continuous monitoring, timely warning of abnormal state, alleviate regulatory loopholes, reduce the number of people For the reason of vehicle loss, theft, transfer sales and other risks. Through the questionnaire survey of three stores, more than 98% of the staff are satisfied with the intelligent supervision mode.
Discussion of the Key Technology and Application of Big Data Platform for New Energy Vehicles and V2X
Authors: Wang Xiaolei , Wang Gang , Wang Hailong , Cao Yunfeng , Li Zhitan 
Published: April 2021

Abstract
With the development of the economy and social progress, China’s science and technology industry has made remarkable breakthroughs and progress. New energy vehicles began to appear in people’s lives and gain popularity, in which context, a big data platform about new energy vehicles and V2X (vehicle-to-everything) emerged. Meanwhile, the state regulation of new energy vehicles has been improved. Whether it is new energy vehicles or V2X, these are both products of the information era. The lack of experience in the past had left this unpredictable technology problem in the development process. With such a background, we need to conduct further analysis of the core technology of the big data platform and related applications, and the corresponding improvement approach needs to be put forward.
Novel Coronavirus Pneumonia Epidemic Data Analysis and Regional Prevention and Control Research
Authors: Guan Yi , Tan Lei 
Published: April 2021

Abstract
At the beginning of 2020, a war without smoke of gunpowder came. Scientific prevention and accurate policy implementation is the key to epidemic prevention and control. General secretary Xi Jinping stressed the importance of using big data to strengthen the tracing and monitoring of the epidemic situation. With 1.6 billion mobile phone users in China, the use of Telecom big data analysis can provide strong decision support for epidemic prevention and control in a more real-time, accurate and comprehensive way. In the battle against novel coronavirus pneumonia, the Ministry of industry and information technology has been coordinating and organizing the information and communication industry to support the epidemic prevention and control work with the analysis of telecommunications big data.
Application of Information Technology in Human Resource Management
Authors: Wang Jun , Ma He 
Published: April 2021

Abstract
With the increasingly fierce competition for talents, the continuous development of information technology, and the penetration of big data into various industries, human resource management has to think about the changes in information technology. It is necessary to explore the application of big data in human resource management to carry out more comprehensive and scientific human analysis, therefore it is necessary to explore the application of information technology in human resource management. In this context, this article discusses the combined application of big data analysis and human resource management, in order to provide some reference for the development of enterprise human resource management.
University Mobile Employment Network Information System in the Internet Age
Authors: Tang Weihua , Liu Yongfen 
Published: April 2021

Abstract
The rapid development of mobile Internet has changed our consumption patterns and living habits, and mobile Internet has become a mainstream way of life for us. This article mainly studies the construction of college mobile employment network information system in the Internet era. In terms of software environment, because this system is developed based on architecture, it can adapt to most operating systems. After confirming the choice of B/S architecture, according to the system’s individualization and specific needs, this system will be developed using Portal technology. Specific functional modules are implemented through Portlet components, and the server uses JSP scripts to meet general work requirements. In the school computer room, 120 computers are used for access testing at the same time, and different roles are used for testing at the same time. At the same time, a large number of user login, system operations and query form operations are submitted. The system responds to each user’s request within 5 seconds. Experimental data shows that when n is 40, the recommended accuracy reaches the maximum. The results show that the system designed in this paper has fast response speed and high accuracy.
Design and Practice of Cloud Platform for Online Music Courses Based on the Mobile Internet Era
Authors: Peng Yajie 
Published: April 2021

Abstract
Music is a subject of humanities and arts. It uses practice, observation, and exploration as the main learning methods to cultivate students’ music literacy through independent or cooperative learning. In music teaching, the application of the mobile Internet-based personalized learning teaching model can not only optimize classroom teaching, but also increase students’ interest in learning music. The theoretical value and practical significance in classroom teaching in middle schools. This paper uses the cloud algorithm of the learning platform and the in-depth mining algorithm to initially construct a personalized learning model for music courses based on the mobile Internet, sort out the basic process of personalized teaching based on the mobile Internet, and establish a music curriculum based on the mobile Internet. Evaluation methods, including the evaluation of students, the evaluation of problems and the evaluation of teachers, can get the views of all walks of life on the online music course learning platform. The experimental results show that this article conducted interviews and questionnaire surveys on experimental class students, and found that more than 90% of the students recognized and liked personalized learning and teaching methods based on mobile Internet.
Application of Big Data Technology in Campus Security Management under the Background of Information Age
Authors: Li Yiwei 
Published: April 2021

Abstract
To explore the construction of safety management in universities against the background of big data is not only an important way to ensure the personal and property safety of teachers, students and staff, and to promote the construction of safe campuses, but also an essential part to realize long-term social harmony and stability. This paper based on big data technology, this paper establishes a visualization application platform to comprehensively improve the informatization and intelligence level of the university’s safety management, and the system was tested. The test results show that the response time of the system performs well, and the actual response time is no more than 3 seconds. The system recovery trial user login response time is 0.057s, and the completed login user format is 258 per second. The system realizes the refinement, digitalization, automation and mobility of campus security management, so as to improve campus security and provide support and data basis for the information construction, talent reserve and information decision-making of smart campus.
RETRACTED: The Exploration and Countermeasures of University Education Management Model Based on Big Data Technology
Authors: Zhou Feng 
Published: April 2021

Abstract
In the context of the current rapid development of big data technology, my country’s higher education management model has been greatly impacted. The reform of the student education management model in colleges and universities has both positive and negative aspects. This article makes relevant countermeasures to the transformation of college student education management mode in the era of big data, which is also one of the main research contents of this article. This article mainly discusses the teaching management mode of colleges and universities. It first introduces the changes and current situation of the education management mode, and then makes relevant countermeasures to analyze the current situation after the reform. Under this new situation, the development goals of college education management models have also changed, so a new higher-level development goal of college education management under the background of big data is outlined. This article applies the changes of big data in the education management model. The traditional education management model must be difficult to meet the actual needs of the development of the current big data era. Therefore, based on this, this article needs to combine the background of the rapid development of the current era, increase the frequency of communication between students and teachers, improve the professional quality of teachers themselves, actively innovate the theoretical needs of current education management, and establish a more professional education management team. Based on the above-mentioned problems, a combination of machine learning algorithms and electronic icon detection algorithms is proposed. Experimental research results show that there are many problems in the work of traditional university education management mode. The rise of big data has brought severe impact and challenges to it, and it also brought unprecedented opportunities to university education management.
Online Education of Atomic Physics based on MOOC Platform
Authors: Wang Shengquan , Sun Ting , Qu Xiaoying , Xu Weiwei 
Published: April 2021

Abstract
With the rapid development of the Internet, online education (e-Learning) has gradually become an important form of education. Traditional education has many shortcomings, and the e-Learning can overcome these shortcomings well. Massive Open Online Course (MOOC) is an online education model that anyone can use for free. China University MOOC is an e-Learning platform launched by NetEase and Higher Education Press in China. The MOOC has developed rapidly in China in recent years. The MOOC provides students with courses from well-known universities in China. There are many course resources on the MOOC platform, and students can choose the right course according to their own situation. In this paper, based on the teaching process of Atomic Physics course using the MOOC platform, we share some experiences for the teaching process, and we will explain how to use the MOOC platform to better improve the teaching.
Fusion Application of Big Data and Cloud Computing In the Internet of Things
Authors: Qi Yongjun , Wu Haiyan 
Published: April 2021

Abstract
The Internet of Things can be simply understood as the mode of connecting things in the Internet environment. It is mainly the organic combination of computer, Internet technology and other information technology means. At the same time, the organic combination of the Internet of Things, big data, cloud computing and other advanced information thinking and computing methods is the direction of the future smart city construction. In the experiment, due to the characteristics of real-time and massive data of the Internet of Things, the fusion processing of big data cannot be carried out well. Based on the Internet of Things technology, cloud computing technology and fusion algorithm are selected for research. Experimental data show that the number of four types of nodes is set as 30, and the system has 100 nodes in total, and the length of one rotation of the system is 50s. The ordinary Leacha algorithm is used first, and then the improved Leach algorithm is used in the same environment. The experimental results show that there are four different types of nodes in the monitoring environment obtained by the test, and the initial data transmission rates of each node are 60, 90, 110 and 80 respectively. Therefore, the adjusted and improved LEACH algorithm can allocate the required data transmission time according to the different failure levels of the data. If the aging level is higher, the data transmission time of node data will be relatively longer. The improved strategy is in line with the characteristics of the Internet of Things and has the feasibility to complete the experiment.
Development and Application of Sports Video Analysis Platform in Sports Training
Authors: Bai Bing 
Published: April 2021

Abstract
The sports video analysis platform can accurately extract the training parameters of the trainer, build a model with personality differences based on the actual training actions, conduct an in-depth analysis of the training parameters, and fully display the standard degree of the trainer’s actions in the analysis results. Trainers and coaches can have a comprehensive and intuitive understanding of the problems in sports training through sports videos and analysis results. Coaches can adjust their training plans based on the analysis results. Trainers can make corrections to sports actions, thereby promoting the quality of sports training. constantly improving. This article mainly elaborates the development of the sports video analysis platform in sports training from the three aspects of hardware structure, function and target tracking model. At the same time, simple performance tests of the platform are carried out, and then the platform is applied to common long jump, race walking, badminton and gymnastics, I hope to have a certain reference significance for the effective development and promotion of sports video analysis platform.