bluuebunny/crossref_metadata_2025 huggingface dataset:
Development and Implementation of Java Game Engine Based on Network Information Technology
Authors: Yue Xiaorui
Published: August 2021

With the development of computer technology and network technology, various digital learning methods have seriously impacted the traditional education and teaching mode, among which gameplay learning represented by teaching games has attracted wide attention of educators. It is considered to be the most effective way to stimulate learners’ learning motivation. Mobile game is an important part of mobile phone value-added service. The research of mobile game engine has extremely important application value for the development of mobile phone game. This paper mainly studies how to realize a high-performance mobile game engine. Through the analysis of mobile phone operating system, mobile game market, mobile phone game user needs, the technology selection and main function modules of the engine are determined. Through the research of java technology, the technical architecture of engine server and client is determined. Performance and algorithm optimization are the focus of this paper, because performance issues are the biggest bottleneck in developing games on java phones.
Research on Management Decision Optimization Algorithm Based on Information Entropy in Cloud Computing Environment
Authors: Sun Shiyun
Published: August 2021

In the cloud computing environment, information entropy is a false judgment on the composition of information and data inaccuracy and decision-making. By using information entropy to optimize the data information, under the Internet, the analysis of network user management data in the cloud computing environment can be Quickly identify clustered data objects and reorganize management data in a cloud computing environment to improve the effectiveness of management decisions.
Research on the Development and Application of Uml Modeling Technology Based on Software Engineering
Authors: Zhao Yecheng
Published: August 2021

Modern life style can be said to have been built on big data and computer science, is a new way of life, completely different from the past mechanical and electrical era of life. Among them, the application of software engineering has become an indispensable part in various fields, and the diversified development of its development technology is also an important reason for the popularization of computers. In this paper, computer software development technology under the background of big data is analyzed, and the importance and necessity of computer software development is discussed.
An Empirical Study on the Prediction of E-Commerce Sales by Optimizing Grey Neural Network Model
Authors: Wang Yini
Published: August 2021

E-commerce is the main component of the new economy. In recent years, with the rapid development of the Internet, e-commerce shows great vitality. According to the requirements of the 13th five year plan, China’s e-commerce needs to be fully integrated into all areas of the national economy, and the e-commerce transaction volume is planned to reach 40 trillion yuan by 2020. However, the transaction volume of e-commerce is an important embodiment of the development level of e-commerce. Therefore, through scientific and reasonable algorithm, we can predict the transaction volume of e-commerce, which will reveal the depth of e-commerce development. Through the prediction of e-commerce transaction volume, enterprises and governments will conduct quantitative supervision on market development, which has become an inevitable requirement of e-commerce development. This paper first analyzes the basic theory of grey neural network. Then, the neural network prediction model is optimized.
Research on the Application of Integrated Technology in Power Dispatching Automation System
Authors: Zhang Xi , Wan Huijiang , Ma Jianwei , Huang Yusong
Published: August 2021

In order to improve the effect of power dispatching, staff must constantly explore new technical theory, perfect technical means and improve the effect of power dispatching. It is also of great significance to apply the integrated technology to the electric power dispatching automation system and to explore and extend it continuously, which is also of great significance to the exploration of the application value of the integrated technology.
Research on Intelligent Control of Synchronous Generator Excitation System Based on Computer Technology
Authors: Leng Xuemei , Xu Suling
Published: August 2021

With the maturity and development of industrial technology, power system is continuously optimized and improved. And rely on the continuous innovation of the computer, the power system is also constantly improving and upgrading. In the power system, whether in thermal power plant, wind power plant, nuclear power plant or hydropower plant, the generator is always an indispensable part of the power system, has a pivotal position. There are many types of generators, including many internal systems. In the electric power system, the generator, without any doubt, is used to convert the mechanical energy into the electric energy, and finally transmits the electric energy to the electric network through the transformer, the main generating set and so on, thus realizing the ultimate goal of power generation. This paper studies the intelligent control of synchronous generator excitation system based on computer technology, which is of great positive significance. It has a great influence on the synchronous transformation of generator, performance improvement and power system optimization.
The Optimization of Hydraulic and Electric Power System Considering the Multi-Particle Swarm Optimization Algorithm
Authors: Luo Qingyuan , Wang Yuge , Liu Lina , Chen Nan , Wei Jie
Published: August 2021

Water conservancy and electric power planning is an important part of urban planning and construction. In order to realize the ecological development of the multi-particle swarm optimization algorithm and improve the quality of people’s living environment, it is necessary to carry out ecological planning for the multi-particle swarm optimization. Based on the problems existing in the current development of water conservancy and electric power planning in China, this paper explores the planning and design of river courses based on the collaborative optimization of ecological multi-particle swarm optimization, so as to promote the sustainable development of urban construction in China.
Research on Voltage Sharing Optimal Control Strategy of Modular Multilevel Converter Based on Computer
Authors: Fan Yusheng , Wang Shirong , Wu Jiaao
Published: August 2021

With the environmental protection requirements of smart grid in China, the power electronic technology has been developed rapidly, which greatly promotes the development of FACTS and HVDC. Based on the development requirements of facts and HVDC in China, modular multilevel converter (hereinafter referred to as MMC) has become the core component of high voltage converter, which has many advantages, such as modular design, high output waveform quality, active power troubleshooting control, high reliability, etc. MMC is a new type of voltage source converter, which is suitable for many occasions, such as new energy grid connection, island power supply, large city power supply, etc. With the continuous increase of voltage level in China, the requirements of MMC for power supply companies are gradually improved. At present, computer simulation analysis has been applied to the research of MMC, which can help designers to optimize the scheme better. Therefore, this paper analyzes the equalization control of MMC capacitor voltage (hereinafter referred to as CV). Through computer simulation and analysis of control parameters, the voltage sharing optimal control (hereinafter referred to as VSOC) of MMC is carried out, which solves the current flexible DC transmission system.
Research on the Design of Electrical Automation Control System Based on the Application of Computer Technology
Authors: Chen Wei , He Yujie , Pei Qianqian
Published: August 2021

Electrical automation control system is a widely used system. With the development of computer technology, electrical automation control system and computer technology are combined to effectively improve the intelligence of electrical automation control. Electrical automation is also a very advanced technology.
Research on User Oriented Benefit Evaluation Model of Power Demand Side Management Based on Computer Software
Authors: Wang Linxin , Luo Shigang , Ren Mingyuan , Yang Zhaoguang , Shao Juan
Published: August 2021

Power demand side management (hereinafter referred to as DSM) is an important part of smart grid construction in China, which can realize scientific energy saving and power saving. Through DSM, the power grid can dispatch power based on user demand, which can support the sustainable development of national power industry. At the same time, through DSM, the power grid can transmit power intelligently, which is of great significance to the energy conservation and emission reduction of the society. With the construction of smart grid, power DSM has formed an important management system, which can better expand the intelligent and scientific power grid. Through the continuous transformation to energy-saving management system, the traditional load management is no longer suitable for the needs of the society, which requires us to comprehensively review the development of smart grid. Through the DSM system, we can expand the load analysis management means in smart grid, which will better tap the demand side resource potential. Through the effective evaluation system, we can provide more comprehensive, scientific and accurate decision-making basis. Firstly, this paper presents the current load forecasting methods. Then, a model is proposed. Finally, some suggestions are put forward.
Research on Characteristics and Distribution of Audible Noise in UHV Converter Station Based on Artificial Intelligence
Authors: Xie Lianke , Ma Xingang , Zhang Guoying
Published: August 2021

Because of its unique advantages in long-distance line loss, UHV transmission is widely used in large capacity transmission projects. As an important part of power transmission system, high voltage converter station is of great value to ensure transmission stability, applicability and practicability. However, UHV converter station will bring great noise pollution, so it is necessary to analyze and study its noise characteristics by certain means, so as to lay a foundation for noise suppression. Based on this, this paper first analyzes the test method of the noise source in UHV converter station, and then gives the specific suppression measures of audible noise in UHV converter station.
Comparison of Modal Analysis Results of Data Center Cable RackBasedonOptistruct and Abaqus
Authors: Gao Yongqiang , Du Wenman , Zhang Shanshan , Li Qian , Zhang Xuezhong , Sun Guoliang
Published: August 2021

As an important infrastructure of the data center, the cable rack provides an important guarantee for the safe and reliable operation of the data center during and after an earthquake. In this paper, the data center cable rack is the research object, the cable rack structural beam unit is modeled, the dynamic characteristics are studied by the modal analysis method, and the frequency and mode shape are combined to initially evaluate its seismic performance, and the difference is made through Optistruct and Abaqus. Comparison of modeling methods, analysis methods, and analysis results between analysis software, compare their mode shape correlation and frequency consistency, ensure accurate modeling and reliable results, and provide data support for subsequent related dynamic analysis.
Analysis on the Application of Artificial Intelligence Technology in Electrical Automation Control
Authors: Ding Dawei , Zhang Zaizhen , Ding Qian
Published: August 2021

AI technology organically integrates the info and intelligent content of electronics, telecommunications, computer and other fields and disciplines, can achieve accurate control operation, reduce the dependence on human intervention, and greatly improve the intelligent level of these fields, so it has important research value. Based on this, this paper first analyses the AI automation control theory, then studies the electrical automation control based on AI technology, and finally gives the specific application strategy of AI in electrical automation control.
Application of Artificial Intelligence Algorithm in Electrical Automation Control
Authors: Fei You
Published: August 2021

With the development of computer tech, VR tech has made great progress. The application of VR tech makes oral experiment teaching better grasp the precautions, difficulties and key points of oral experiment work, and improve the overall effect of students’ oral experiment learning, so it has high research value. On account of this, this paper first analyzes the connotation and typical characteristics of computer VR experiment, and then studies the design of oral experiment teaching system on account of computer VR tech.
Study on the Electron Action Mechanism of Hydrogen Adsorption and Activation on Platinum Clusters with the help of Computer Software
Authors: Cao Peisen , Wang Haiqi
Published: August 2021

Cyclic aromatic hydrocarbons occupy a certain proportion in the high boiling point fractions of petroleum and are difficult to convert. Hydrocracking to lighten polycyclic aromatic hydrocarbons is currently an effective way of conversion. As the first step of catalytic reaction, the adsorption of polycyclic aromatic hydrocarbons (PAHs) on the surface of catalytic materials is of great significance to the subsequent reaction process. In this paper, molecular dynamics and density functional theory (DFT) were used as research tools, and Nano-sized PT clusters were selected as adsorption models [1-3]. Firstly, the adsorption mode of H2 on Pt clusters was analyzed from the frontier orbital point of view, and the changes of electron distribution of H2 on Pt clusters from physical adsorption to chemical adsorption were compared with the help of computer software.
Key Technologies and Analysis of Computer-based 5G Mobile Communication Network
Authors: Yuan Guimin
Published: August 2021

With the rapid increase in traffic in the Internet era, new services on 5G mobile communication networks are gradually facing many problems such as high return bandwidth and low latency. The use of computers can quickly solve the above problems. This article has sent a computer-based 5G mobile communication network architecture. According to the construction of the network architecture, it can be concluded that the 5G mobile communication network is a network of communication and multi-level computing. Virtualization technology can be used to achieve communication, computing, and storage. Efficient sharing of resources. Facing the collaboration of communication and computing, the main challenge of the 5G network that integrates computers in terms of basic theory is network capacity analysis.
Research on Digital Marketing Strategy of Telecommunication Service Based on Computer Complex Network Model
Authors: Fang Xianjie
Published: August 2021

With the emergence of the 2G, 3G, 4G, 5G, the business volume of telecom enterprises has grown rapidly, and at the same time, because services are lagging behind actual demand, they are also facing the risk of losing customers. This paper studies the close relationship between the complex network model and the digital marketing of telecom enterprises by using computer, and analyzes the customers of telecom business and puts forward the corresponding strategy of digital marketing.
Research on Anti Jamming Communication Transmission Computer System Based on Intelligent Beamformer
Authors: Qiu Jin
Published: August 2021

With the continuous improvement of communication technology, electronic communication technology has become an indispensable important technology in people’s life. Although communication technology provides great convenience for the society, it also brings a lot of signal noise interference, which will affect the application of a variety of high-precision equipment signals. Therefore, the research of communication interference and anti-jamming technology is gradually deepened in China. With the development of 5g services, millimeter wave has become the future direction of spectrum development. However, 5g millimeter wave has the characteristics of fading, high rate and delay, which requires the use of beamforming architecture for signal transmission. At present, the beam of digital analog hybrid structure will be restricted in many aspects, such as hardware constraints, poor adaptive ability, etc., which will be difficult to solve by traditional optimization theory. The hybrid beam will have poor adaptive ability, which needs to maintain good performance in a variety of communication scenarios. Therefore, this paper studies a kind of intelligent beam, which is a beam forming technology of neural network. Firstly, this paper analyzes the current beamforming classification. Then, the beamforming technology of neural network is developed. Finally, this paper presents the current anti-jamming technology.
Computer Flipped Classroom in Critical Reading of College English
Authors: Song Pei
Published: August 2021

With the continuous development of education, exploring new teaching models has become a concern of people. This research mainly explores the application of computer-based flipped classroom in critical reading of college English. A class of third-year college students is used as the research object. During the experiment, the teaching mode under the new mode is used to teach. After the experiment, the test scores before and after the experimental class are compared. After the experiment, through reading test questions and questionnaires, we can understand whether the flipped classroom teaching model is helpful for students’ performance improvement. And in terms of emotional attitude, acceptance, method feedback and effect evaluation, understand the students’ attitudes after using the model before and after the experiment. Both the experimental class and the control class take a critical reading comprehension test and a regular reading comprehension test. Through questionnaires and interviews, the changes in critical reading ability and critical thinking ability of experimental class students are analyzed. In the critical reading comprehension test, the highest average score of the experimental class was 45.6, and the pass rate was 74.5%. This research helps students develop critical thinking.
Research on Multi-level Extension Optimal Decision Analysis of Network Digital Library Resources
Authors: Xie Hui , Wei Li
Published: August 2021

Network digital libraries have exploded in recent years, with numerous and complicated evaluation indicators. The main body of evaluation is gradually showing the diversification characteristics of evaluation objects, and comprehensive evaluation standards. In order to better ensure the overall quality and construction level of network digital library resources, this research innovation incorporates multi-level extension optimization evaluation. Based on the network digital library, a multi-level extension optimization decision-making mechanism combining qualitative and quantitative is proposed. It has developed a new direction and provided new ideas for the resource quality and data evaluation of the future network digital library.
Research and Practice of MOOC Based Innovative Education in Universities under the Background of “Internet Plus”
Authors: Ding Tingting
Published: August 2021

Under the background of “Internet plus”, the emerging open education resource MOOC (Mogao) has increasingly become the focus of attention worldwide. The advantages of MOOC, the maturity of Internet and information technology, the strong attack of famous universities and the huge market demand have become the reasons for the rapid development of MOOC. Through the analysis, we can see that MOOC has certain influence on the improvement of teachers’ teaching methods, the change of students’ learning methods, the expansion of education objects and the improvement of higher education quality.
Management and Research of Enterprise Tax Planning under the Background of Information Age
Authors: Xue Lingqi
Published: August 2021

With the improvement of the tax law and the increase in the cost of tax evasion, taxpayers’ legal awareness is getting stronger and stronger. This article mainly discusses the management of corporate tax planning under the background of the information age. Use data mining technology to achieve diversification of access methods and transparency of information access. If the company responsible for sales is located in a country or region that levies high income taxes, in this case, in order to reduce the tax burden, the company can establish branches in other countries and regions with lower income tax rates, making it should The profits of companies in high income tax areas can be effectively transferred, so that the total income tax payable by the company will be reduced, reducing the cost of taxation for the company. Companies can use commercial discounts when carrying out sales activities to reduce the value-added tax burden that companies should pay. After the enterprise reformed its tax planning, the value-added tax rate changed from the original business tax rate of 5% to 6%. This research is helpful to the reasonable planning of corporate taxation.
Artificial Intelligence Technology to Mechanical Vibration Wireless Sensor Monitoring Terminal Design Research
Authors: Gao Yuehui
Published: August 2021

Mechanical vibrations have been noticed since they were discovered a long time ago. Because almost all machinery in the process of motion will produce vibration, some is due to the external force caused by vibration, and some external forces act on a substance to produce vibration caused by the resonance phenomenon, these will have an impact on the efficiency of the original machinery or internal performance. To solve these problems, scientists have been trying for many years to determine exactly why vibrations occur to achieve their goals by using vibrations or reducing them. Therefore, artificial intelligence technology is used to design and study the monitoring terminal of mechanical vibration wireless sensor. After querying the relevant data at home and abroad and carrying out a simple simulation experiment, this paper designs it by using a variety of algorithms, and finally selects a better algorithm to carry out the final fitting design and experiment. Finally, we chose the electronic tag image matching algorithm for system design. The experimental results show that the electronic label image matching algorithm is more accurate and the imaging speed is faster than other algorithms.
A Brief Talk about the Modern Application of Computer Software Technology and the Development Trend of Research
Authors: Yang Li , Liu Qiang
Published: August 2021

With the progress of the times, we find that with the development of high technology and the dawn of a new era of high technology, the modern society has become more and more dependent on computers, if suddenly lose computers, the world will be in a panic. Therefore, the development of computer software technology in the future is the trend, will get more attention and development. Therefore, the purpose of this paper is to explore the modern application of computer software technology and future development trends. After searching for the industry about the penetration of computer software technology and the annual growth of high-tech enterprises and network data on computer technology, this paper uses K NN algorithm to conduct comprehensive analysis and evaluation, and discusses the modernization of computer software technology and the future development trend of computer software technology. The experimental results show that the modern application of computer software technology in the future is the trend, which will get the key help and full development of the country.
RETRACTED: Diversification of Physical Education Teaching Resources in Universities under the Background of Computer Information Technology
Authors: Chen Wanjun
Published: August 2021

With the advent of the information age, physical education in universities around the world is facing brand new challenges and opportunities. Modern information technology represented by networking, digitization, multimedia and intelligence is changing people’s way of life, study and work more extensively and profoundly, and affects the content, methods and methods of college physical education. This article mainly introduces the research on the diversification of physical education teaching resources in universities under the background of computer information technology. This article uses computer information technology to study the actual curriculum of physical education teaching in colleges and universities, and explores the process of diversification of teaching resources. The experimental results of this paper show that the strengthening of the diversified management of college physical education resources has increased the efficiency of college physical education by 23%. Through the construction of college textbooks and high-quality curriculum content, the system and health of our students have been effectively improved.
How to Use Computer New Media Technology to Reform and Innovate the Integration Mode of Sports and Education in Colleges and Universities
Authors: Wang Huimin
Published: August 2021

With the development of the times, information technology has been a great improvement. Nowadays, computer technology is developing at a particularly fast pace, at the same time, the supporting software hardware is also gradually improving. With the development of science and technology, China’s economic level has been greatly developed, but because of the imbalance of physical education in domestic education, the reform of physical education in our country’s colleges and universities is inevitable. Therefore, the purpose of this paper is to use computer new media technology to reform and innovate the integration mode of physical education in colleges and universities. We first look up the new media technology of computer, and then use the algorithm construction system to simulate the fusion mode of physical education in colleges and universities, and calculate the results. Then carry on the offline experiment. By looking for the experimental group to carry out real experiments, we get the experimental data we need to infer the experimental results. The experimental results show that by using the new media technology of computer, some reform and innovation can be carried out on the integration mode of physical education in colleges and universities, and the resistance is small and easy to accept.
Application of VR Technology in the Construction of MOOC Resources
Authors: Huang Qian
Published: August 2021

In the context of the epoch-making development of science and the continuous improvement of the social system, VR technology has quietly emerged. With the rapid development of the Internet industry, various industries are also adapting to receive the collisions brought by new fields. VR is one example. In recent years, MOOCs have been continuously expanded, and the development of MOOCs has also attracted more and more attention. Through the analysis and discussion of the application status of VR technology, VR technology and MOOC resource construction are combined to discuss the effect of VR technology on MOOC resources. This article discusses and analyzes the effect and influence of VR technology on the cognitive psychology and thinking optimization of the Solfeggio and ear training courses in the MOOC. This paper uses two conservatories as experimental objects to analyze and compare the difference between the effect of using VR technology in the construction of MOOC resources and the original traditional teaching. The results of the experiment show that the average score of group B is 30.8 (standard deviation=4.2 ), is higher than the average of group A by 27.4 (standard deviation=2.5). Therefore, the introduction of VR technology can more effectively improve the cognitive psychology of learners, and it is also helpful to optimize learners’ musical thinking.
Design of Four Channel Data Acquisition System Based On Ldc1614
Authors: Huang Jian
Published: August 2021

The four channel data acquisition software based on STM32F103 is used for metal detection and runs on the embedded processor STM32F103 series chip. The software can read ldc1614 metal detection value by STM32F103. The results are displayed on the display device.
Intricate Face Recognition Based On Virtual Sample Generation
Authors: Tong Qionglin , Su Jinshan , Ma Lan , Wang Zhenhua
Published: August 2021

This paper mainly focuses on the problem of low recognition rate and making deep hidden features unable to learn caused by the lack of training samples in intricate facial recognition, a method of virtual image sample generation is proposed. The starGAN network based on style migration is used to generate the image that does not exist in the original database, and multiple images with different facial attributes are added to a single sample, combine the obtained virtual samples with the original database to build a larger face database for face recognition. Experiments on the CelebA face database show that the proposed method can effectively improve the face recognition rate in complex situations.
Multi-mode Controller for Hemiplegia Rehabilitation
Authors: Chen Sicheng , Yang Yunlong
Published: August 2021

Patients with hemiplegia should receive different therapeutic exercises at different stages. This paper proposes a multi-mode controller with three control strategies, namely PID control, impedance control, and admittance control. Depending on the muscle strength of patients, the multi-mode controller can automatically switch to the best mode. When the muscle strength is below the lower threshold, the controller will switch to PID control and achieve passive position control. When the muscle strength is above the upper threshold, the controller will switch to admittance control and achieve active force control. When the muscle strength is between two thresholds, the controller will switch to impedance control and achieve passive force control. These control strategies can meet the needs of patients with hemiplegia at different stages, and the use of the multi-mode controller can speed up the rehabilitation process, which has great practical significance.
Application of Computer Vision Media Simulation Technology in Distance Education of New Generation Labor Productivity
Authors: Zhao Qiulan , Li Zhuoya
Published: August 2021

With the rapid development of the information age, it has promoted the development of all sectors of society, including education, to a certain extent. It is no longer a problem to use modern educational technology in teaching. In the teaching of computer vision media simulation technology courses, the use of modern educational technology can effectively enhance the teaching effect. The purpose of this article is to study the application of computer vision media simulation technology in distance education of the new generation of labour productivity. This topic uses the data collection method and action research method to study the effect of multimedia education teaching in changing the learning style of high school students, and conducts questionnaire surveys of students before and after the experiment, and analyses the differences in the survey results. The analysis results it shows that computer vision media simulation technology has improved experimental skills to varying degrees. Among them, it is believed that the biggest improvement is the standardization of operation (26%). The second only to the operation skills is the expansion of students’ knowledge, accounting for 25%.
Study on the Era of Visual Communication Art Design
Authors: Zang Suran , Xu Lianjiang , Sun Haiyan
Published: August 2021

With the continuous popularization and innovation of network technology, China and the world have gradually entered the era of all-media, and the influence of visual communication art on industrial design in the era of new media has gradually increased. This paper analyzes the contemporary characteristics of modern visual communication art design from several aspects, such as design characteristics, expression and communication, and proposes that in the new era of art design creation, technology and art should complement each other, realize multi-dimensional interaction with visual information as the boundary, and realize the concept of innovation based on the pursuit of life substance, which provides a more a wide range of ideas.
Construction and Realization of University Student Information Management System Based on Big Data Technology
Authors: Feng Shuo , Zhan Ling , Zhao Hong
Published: August 2021

One of the important features of the “new information age” is “big data”. In the age of big data, with the introduction of student information management systems, colleges and universities are increasingly paying attention to systematically managing student information management and improving their efficiency, effective management of student information and innovative development to build a new model of management system. In studying the evolution of student information management, big data technologies emerging in the information age play an important role. By leveraging big data to improve systematic management of student information, colleges and universities can manage student information faster and more efficiently and make new contributions to the advancement of student information management. In this article, information management is considered as the theoretical basis for research, big data technology is used as the main search algorithm, and its important content is combined to analyze and study the possibilities of the student information management system. In this article, an information management system for university students is used as a research object, which is optimized and improved through big data technologies. Big Data technology can be seen as a kind of algorithm for analyzing and processing data. Therefore, it can be used to create a student information management strategy. The experimental results show that this research has a better impact on the creation and implementation of an information management system for students using Big Data technology and the application of Big Data technology in the information management system for students.
COVID-19 Epidemic Prediction Model and Prevention and Control Analysis
Authors: Fu Shaohua , Xiong Youwei , Yi Linfeng
Published: August 2021

COVID-19 infection was found in Wuhan area in early 2020. Because of the Data backlog in the initial period of Hubei province, it was not conducive to accurate establishment of the model. This article selected the number of diagnosed people in 40 districts and counties of Chongqing City near Hubei province for analysis and modeling. And the prediction model is divided into three stages. The first stage is the initial stage of prevention and control, and the virus transmission shows an exponential model growth. The second stage is the development period of prevention and control, the virus transmission shows a fluctuating state. In the third stage, which is in the mature stage of prevention and control, the virus spreads as a linear function. At the same time, the data curve of three stages and the reasons for its formation are analyzed. The laws revealed by this model have a certain theoretical basis for the prevention and control of new infectious diseases such as coronary pneumonia, which will have a certain guiding effect on the prevention and control of viruses in newly discovered countries and regions of the epidemic.
Development and Implementation Strategy of Students’ concept Innovation in Chinese Painting Teaching Based on Big Data
Authors: Chen Yuhang
Published: August 2021

With the progress of science and technology, big data technology has penetrated into all aspects of life. The topic of this paper is how to develop students’ concept innovation and learn to learn in Chinese painting teaching under the background of big data, mainly focusing on how to develop and guide students’ concept change in their activity process. This paper uses the research method of case analysis. The research object is the students of a university in our city. I get the necessary data through the questionnaire survey data collected before the course, the communication data with students after class and the creation of works of two parallel classes. Then the questionnaire answers to the data list, after class talk statistics, comparative description and analysis of students’ works. The purpose of this paper is that through the practice of Chinese painting, students can learn to learn, use their brains spontaneously, improve their ability of autonomous learning and innovative ideas, and make different works. Teachers can use their own knowledge and creative experience and Research on the implementation strategy of Chinese painting class to improve their ability to better guide students’ concept innovation.
Research on Transformer Life Forecast Based on Random Forest Algorithm
Authors: Liu Fei , Liu Shili , Gao Xiang , Zhu Xiaohu
Published: August 2021

Accurately assessing the life and operating status of transformers has important guiding significance for the formulation of maintenance strategies for power grid companies, and at the same time plays a key role in the risk management of power grid companies. However, the traditional methods for predicting the remaining life of the equipment have the problems of insufficient accuracy or long data training time. In order to achieve a more accurate assessment of the life and status of the transformer, a random forest-based transformer life prediction method is constructed in this paper. Relying on the theory of big data analysis, by mining and analyzing the accumulated data of massive transformers, the life prediction model of the transformer is established and the characteristic parameters affecting the life of the transformer are extracted to predict the life of the transformer. The experimental data research demonstrates that the model can be accurate and effective Predicting the life of transformers has higher prediction accuracy than traditional methods, providing method references for asset management and risk management of power grid companies.
Characteristics of Aerobics Teaching Based on Big Data Analysis
Authors: Lv Lili , Xu Yijun
Published: August 2021

With the rapid development of big data, it plays an increasingly important role in college teaching. The application of big data technology to the analysis of college aerobics teaching data can not only help teachers understand the current learning situation of students, but also help students’ own development and improve students’ academic performance in a targeted manner. The purpose of this article is to analyze and study the characteristics of college calisthenics teaching based on big data technology. This article prepares and preprocesses student’s course score data, analyzes association rules, and obtains a certain correlation between courses, so as to guide and suggest students to study and choose courses, and provide certain reference; this article is for colleges and universities. The curriculum is analyzed and researched. This article analyzes and evaluates the classroom learning behavior of learners of different grades and majors; analyzes the classroom content and technical effectiveness, and then conducts multi-dimensional analysis and evaluation of the classroom. This article uses literature method, questionnaire method, mathematical statistics method, etc., taking 20 aerobics teachers and 1,000 students of a certain university in this city as the survey objects, and conducts a more in-depth and detailed aerobics teaching status of the current aerobics optional courses in the school. The research, find out the existing problems and influencing factors, and then put forward the corresponding development countermeasures, provide a useful reference for the college aerobics teaching reform. Research shows that there are 328 students who have never participated in extracurricular aerobics exercises, accounting for 38.6% of the total number. It can be seen that the situation of students participating in extracurricular aerobics activities is not optimistic. Relevant departments of the school should strengthen the construction of aerobics campus culture to urge students to actively participate in extracurricular aerobics activities.
Reflections on City Planning and Transportation System under the Normalization of COVID-19 Pandemic Based on Network Survey in the Era of Big Data
Authors: Liang Xiaohong , Li Chunyan , Kong Hao , Zhao Zhexi
Published: August 2021

In order to analyze the impact of COVID-19 on urban transportation and provide policy recommendations for city and transportation planning and management under the normalization of the pandemic, this article conducted an online survey to examine urban mobility change in Beijing. Combined with the current status of transportation operations, this article studied the opportunities and challenges faced by future urban transportation planning, construction and management. The results show that the travel numbers declined during the pandemic and people prefer to travel by cars and bicycles. In the end, this article put forward reflections on city planning and transportation system including creating an efficient life and commuting circle, reshaping the street space to be more friendly for active mobility, building the on-demand and resilient transportation system and promoting the integration of advanced technologies and traffic governance to enhance the resilience of transports system and achieve the smooth operation of urban transportation.
Research on Civil Aircraft Direct Maintenance Cost Analysis and Optimization Based on Data Mining
Authors: Wang Jiexuan
Published: August 2021

Civil aircraft maintenance cost is an important indicator to measure the maintainability and economy of civil aircraft, and it accounts for a considerable proportion of aircraft operating costs. Data mining technology can unearth potentially high-value data from massive aircraft operating data. In this paper, aiming at the problem that there are very few actual aircraft maintenance data that can be effectively used in the development stage of civil aircraft, the research on the direct maintenance cost analysis and optimization method of civil aircraft based on data mining is carried out. The theoretical basis of direct maintenance cost analysis based on data mining is studied, the factors affecting the direct maintenance cost of civil aircraft are analyzed based on data mining, and the DMC analysis method is established. On the basis of the above research, the direct maintenance cost analysis model of civil aircraft was established and optimized to achieve the goal of reducing direct maintenance costs. It is of great significance for reducing aircraft life cycle costs and improving aircraft market competitiveness.
The 50 Commonly Used Pesticide Residue of Peppers in Jiangjin Area by GC-MSMS Method for Screening Based on Textual Data Analysis
Authors: Zeng Xiangping , Yan Lixiu , Gu Qiang , Wang Chuan , Lei Ming
Published: August 2021

the detection of pesticide residues in agricultural products is an important issue related to food safety. In recent years, gc-msms technology, as an efficient method for the detection of pesticide residues in agricultural products, has become a hot research topic at home and abroad. In this paper, gc-msms was used to screen 50 kinds of pesticide residues in Zanthoxylum bungeanum in Jiangjin area. In this paper, 50 kinds of common pesticides in Zanthoxylum bungeanum in Jiangjin area were tested. In this paper, the first step is to grind and soak the prickly ash to extract the detection solution, then purify the detection solution, and then test the detection solution. Through the results of this study, gc-msms method has high sensitivity, which can be accurate to 4.00ng/ml, and 5.6min can detect 50 pesticide residues at the same time. Through the experimental data, we can analyze the impact of pesticide residues on the organic matter in prickly ash.
Bert-Based Text Keyword Extraction
Authors: Qian Yili , Jia Chaochao , Liu Yimei
Published: August 2021

With the explosive growth of network information, in order to obtain the information faster and more accurately, this paper proposes a text keyword extraction method based on Bert. Firstly, the key sentence set is extracted from the background material by Bert model as the information supplement to the text. Then, based on the extended text, TF-IDF, text rank and LDA are combined to extract keywords. The experimental results on real science and technology academic paper data sets show that the performance of the fusion multi type feature combination algorithm is better than that of the traditional single algorithm; and the F value of the algorithm is increased by 1.5% by extracting key sentences from background materials, which further improves the effect of key word extraction.
A new maximal subgroup of 𝐸₈ in characteristic 3
Authors: Craven David , Stewart David , Thomas Adam
Published: August 2021

We prove the existence and uniqueness up to conjugacy of a new maximal subgroup of the algebraic group of typeE8E_8in characteristic33. This has typeF4F_4, and was missing from previous lists of maximal subgroups produced by Seitz and Liebeck–Seitz. We also prove a result about the finite groupH=3D4(2)H={}^3\!D_4(2), namely that ifHHembeds inE8E_8(in any characteristicpp) and has two composition factors on the adjoint module thenp=3p=3andHHlies in a conjugate of this new maximalF4F_4subgroup.
Pyk2 regulates cell-edge protrusion dynamics by interacting with Crk
Authors: Lukic Nikola , Lapetina Stefanie , Grobe Hanna , Srikanth Kolluru D. , Twafra Shams , Solomon Jonathan , Sneh Tal , Gendler Michal , Zaidel-Bar Ronen , Gil-Henn Hava
Published: August 2021

A novel model is described by which Pyk2 regulates the dynamics of cell-edge protrusions via direct and indirect interactions with Crk, which enable fine-tuning of cell-edge protrusion dynamics and consequent cell motility on the one hand together with tight regulation of cell motility on the other hand.
RUSC2 and WDR47 oppositely regulate kinesin–1-dependent distribution of ATG9A to the cell periphery
Authors: Guardia Carlos M. , Jain Akansha , Mattera Rafael , Friefeld Alex , Li Yan , Bonifacino Juan S.
Published: August 2021

This report shows that the adaptor protein RUSC2 couples ATG9A vesicles to the motor kinesin-1 via interaction with kinesin light chain. This interaction is counteracted by the microtubule-associated protein WDR47. These findings uncover a mechanism for the peripheral distribution of ATG9A vesicles.
Exploiting differential effects of actomyosin contractility to control cell sorting among breast cancer cells
Authors: Devanny Alexander J. , Vancura Michelle B. , Kaufman Laura J.
Published: August 2021

Cells within tumors exhibit sorting in vivo and in vitro. It is shown that available adhesion proteins and cellular contractility determine cell position in heterotypic aggregates. Exploiting differential effects of inhibiting contractility allows control over the spatial organization and resultant invasive behavior of such aggregates.