bluuebunny/crossref_metadata_2025_split huggingface dataset:
RETRACTED: Analysis and Research on the Aesthetic Characteristics of Visual Culture Based on Computer New Media Technology
Authors: Lai Jie 
Published: August 2021

Abstract
With the progress of The Times, visual culture has a profound impact on people’s lives. Therefore, improving the aesthetic characteristics of visual culture is conducive to promoting the development of the aesthetic era. In this paper, first of all, the overview and development of visual culture and the existing shortcomings to explain, at the same time, based on the computer new media technology of visual culture aesthetic characteristics of analysis and research, for the reference of readers.
Application and Thinking of Cloud Accounting in Accounting Informatization
Authors: Wu Xiuming 
Published: August 2021

Abstract
The history of accounting basically comes into being with all the economic activities of human beings. In the past, our ancestors carved numbers and words on the rock wall. The most common thing was keeping accounts, such as what assets were available at that time, how to distribute them and how much was left, which is now called asset recording and asset distribution. With the development of the society and the refinement of the accounting work, the construction of accounting information has gradually become a hot spot in the industry, and is also the focus and development trend of the current accounting reform.
Research on the Application of Artificial Intelligence in Image Recognition Technology
Authors: Zhang Zhiliang , Zhao Limei , Yang Tao 
Published: August 2021

Abstract
Artificial intelligence is gradually widely used in our country, and with the development of the information age, the image recognition technology derived from artificial intelligence is also gradually known to people. The main principle of image recognition technology is the substitution of computer to artificial. These working principles can not be separated from the traction function of artificial intelligence, so as to realize many processing and judging of data information. Under the trend of gradual development of computer technology, the security and process of recognition data should be analyzed under the continuous extension of image recognition technology. In this paper, the image recognition technology in artificial intelligence will be analyzed and studied in depth, and the image recognition technology will be briefly summarized.
Research on Particle Swarm Practical Algorithm of Partial Differential Exact Solution Based on Computer Software Analysis
Authors: Zhou Ping , Liu Changfu , Liu Jinmei 
Published: August 2021

Abstract
Particle swarm collaboration has many applications on the Internet. It is necessary to cluster a large number of algebraic matrices to obtain enough data. The current research focuses on the correlation between particle swarm coordination and matrix, and does not fully consider the difference between geometries. There is a large overlap, which leads to the same results for different matrices, leading to double counting problems. Therefore, based on the analysis of computer technology, this paper proposes a particle swarm optimization algorithm based on partial differential exact solutions. The selected geometric matrix has higher correlation and lower overlap. Experimental results show that this method can significantly improve the accuracy and efficiency of particle swarm coordination.
Research on the Algorithm of Motion Track Recognition in Football Video
Authors: Han Qilin 
Published: August 2021

Abstract
It is relatively difficult to obtain the real-time information of the football position in the connected area formed by the ball and the line of the stadium in the football match video. This paper proposes a method for identifying the football trajectory. The least squares algorithm is applied to the football movement trajectory recognition function, and the Viterbi algorithm detection is screened according to the movement recognition function, and the football movement trajectory information is complemented for the error of the football movement in the football video. Finally, the results of an example show that the method proposed in this paper can accurately identify the changes in the motion trajectory in the video.
Research on Dispatching Automation and Development Direction of Power System
Authors: Ji Yuan , Ma Jianwei , Wan Huijiang , Huang Yusong 
Published: August 2021

Abstract
In recent years, the overall development momentum of automation technology is relatively good, which has been widely concerned and paid attention to by people. Its application in power system scheduling has a very important impact on the efficiency improvement of power system in the operation process. However, there are still many problems in the implementation of power system dispatching automation. In this paper, the existing faults are analyzed. Combined with the actual situation, it will propose targeted treatment measures to provide guarantee for the safety and stability of power system during operation.
Design of Real-Time Power Quality Monitoring System for Active Distribution Network Based on Computer Monitoring
Authors: Xu Suling , Leng Xuemei 
Published: August 2021

Abstract
The power system is continuously optimized and advanced, and then various equipment auxiliary systems are produced. This paper studies the real-time power quality monitoring system of active distribution network based on computer monitoring. The system can monitor the real-time parameters of electric energy and the running status of equipment, and design the memory function and fault processing function. When some equipment or parts of the power grid failure, the system can produce alarm signals in a timely manner, notify the system monitor, the staff can immediately deal with the problems caused by the signal, reduce the loss caused by failure in time. The memory function of the system is to carry on the memory to the fault signal, then can quickly find, is advantageous to the fault study and the prevention.
Computer High-Voltage Corona Recognition Analysis Based on Ultraviolet Imaging Technology
Authors: He Chun 
Published: August 2021

Abstract
Ultraviolet-visible high-voltage corona recognition tends to have no mechanical moving parts, integration and solid state to complete the complex, high-temperature and high-pressure detection site. At the same time, it must have the characteristics of fast detection speed, reliable data and high reproducibility. Among them, the miniaturization and solidification of ultraviolet-visible high-voltage corona recognition are mainly reflected in the dispersion system and the miniaturization of the overall structure is mainly reflected in the miniaturization of the input and output system, the miniaturization of the light source and the optical fiber connection between the probe and the instrument. The input and output system uses a touch screen to avoid the problem of large volume caused by the separation of the input and output system; the light source adopts an optical fiber light source to achieve miniaturization; the probe is selected to be placed outside the instrument and connected with the instrument by optical fiber to achieve long-distance measurement. From the perspective of the development of high-voltage corona recognition, the use of solid-state design array detectors can make high-voltage corona recognition a measurement and analysis device widely adapted to various fields. Technically, the use of optical fiber technology can make the configuration of high-voltage corona recognition flexible and portable; in design, modularization and optical fiber can make high-voltage corona recognition freely constructed; in terms of development concept, computer technology can make high-voltage corona recognition automatic, Intelligent.
Intelligent Monitoring Analysis of Power Grid Monitoring Information Based on Big Data Mining
Authors: Lu Renjie , Liu Ning , Li Di , Luo Xingzhi , Fan Ying 
Published: August 2021

Abstract
With the rapid economic progress of various regions in China, the demand for electricity is also gradually increasing. In order to effectively solve this problem, we increase the coverage of the grid and the upper limit of power consumption. This has not only led to the economic development of some regions. Big data analysis technology has also been widely used [1]. However, the increase of power consumption also increases the burden of power grid staff. The working pressure of intelligent monitoring system of power grid monitoring information is also increased. In order to simplify the process of power grid information monitoring, data mining technology will be applied to the construction of intelligent monitoring system. According to the theory of power grid inspection, big data information monitoring technology can monitor the operation of power grid in real time. This paper briefly analyzes the current power grid information monitoring problems. This paper puts forward the structure design of power grid monitoring information system based on data mining. Finally, this paper proposes an effective data mining information monitoring algorithm.
Design and Test Research of Fire Monitoring and Alarm System Based on Red and Ultraviolet Double Discrimination Technology
Authors: Yu Debin , Zhou Guiyong , Liu Yong , Wu Huaicheng , Guo Jianhua 
Published: August 2021

Abstract
Fire, as a catastrophe that endangers the survival of human beings, is receiving more and more attention. People hope to find a way to detect fires in advance, so that they can detect and extinguish fires early, minimize the damage and protect people Safety of life and property. Fire occurs almost simultaneously with the use of fire, and with the development of society, material wealth increases, causing more and greater harm. In particular, cities have the characteristics of dense buildings, concentrated population, concentrated property, multiple sources of inflammable and explosive materials, large numbers of points, and wide coverage, which brings more fire and explosion hazards. Once fires and explosions occur, there will be heavy casualties and serious economic losses. So we must have the awareness of safety protection. Therefore, the fire alarm system based on the red-ultraviolet dual-checking platform is a more humane fire-fighting system, which allows people to detect fires early and can stifle the fire in the cradle, reducing people’s losses due to fire.
Fault Detection and Maintenance of Hydraulic Power Generation System Based on Computer Operated Machinery and Equipment
Authors: Chang Xinzhong 
Published: August 2021

Abstract
With the development of information technology, the fault detection and state maintenance of power generation system in hydraulic power generation industry pay more and more attention to information operation. In this paper, the necessity of mechanical equipment maintenance of hydraulic power generation system and the related matters to pay attention to are explained, at the same time, the fault detection and maintenance level of hydraulic power generation system based on computer operation of mechanical equipment is discussed, for the reference of readers.
Analysis of Control Technology for Motor Drive System of New Energy Vehicle Based on Computer
Authors: Zheng Tuo 
Published: August 2021

Abstract
The market prospect of new energy vehicles is broad and popular in the early stage of development, because it meets the requirements of convenient travel mode and reduces the great pressure caused by the development of science and technology and industry to the environment. In addition to the great potential in application, the new energy vehicle also has great potential in the control technology of motor drive system. Although it has been developed greatly under the attention of the whole society, it is of great value in the long run. In this paper, the above technology is analyzed under the condition of computer technology.
Research on Mathematical Model of Corona Current Variation Based on Curve Fitting of Computer Neural Network
Authors: Li Ning 
Published: August 2021

Abstract
There will be corona discharge in the transmission line, which will cause process power loss and even interfere with the power grid. At present, the mathematical models for analyzing the variation of corona current can not fit the current waveform under any test conditions effectively. Based on this, this paper first analyzes the fitting principle of corona current mathematical model, and then studies the curve fitting process and results of corona current change based on CNN.
Research on Harmonic Suppression and Reactive Power Compensation of APF and SVG Based on Computer Support
Authors: Liu Juntian , Wang Shirong 
Published: August 2021

Abstract
With the application of intelligent electronic components in power grid, the problem of harmonic pollution is further aggravated. The power supply level of power grid is affected, and it will bring extra burden to the whole power grid system. APF and SVG have outstanding performance advantages in the aspects of timely response and continuous adjustment, which make them become the research value in the process of power grid compensation and harmonic suppression. Based on this, this paper first analyzes the concept and definition of harmonic and reactive power, and then studies the harmonic suppression and reactive power compensation of APF and SVG.
Research on Intelligent Detection Device of Toxic and Harmful Gas Alarm
Authors: Chen Jinhu 
Published: August 2021

Abstract
With the deepening of industrial production, the emission of toxic and harmful gases is also growing, which is not only reflected in the quantity of toxic and harmful gases, but also in the category of gases. In order to ensure the safety of the production process, it is necessary to carry out efficient and continuous detection and early warning of these gases. Based on this, this paper first analyses the functional requirements and settings of toxic and harmful gas intelligent detection and alarm device, then studies the design of toxic and harmful gas detection and alarm device based on AI, and finally gives the specific device setting process.
Future Development Trend of Wireless Communication Smart Antenna Technology
Authors: Chen Li 
Published: August 2021

Abstract
From the overall situation of modern society, we have step by step into the comprehensive information age, our traditional way of life and work has been gradually changed by advanced communication technology. In the process of the continuous development of the information age, due to the continuous development of information technology, computer network security has been threatened by the very serious, and criminals in order to benefit, such as hackers constantly trying to break through the network firewall information acquisition, data and information of trafficking, serious can lead to companies appear even leakage of trade secrets. This paper improves from the radio monitoring level, aiming at the leakage of computer information, has the purpose to improve the network communication mode, aiming to provide relevant technologies and solutions, and provide relevant reference for the application of computer network.
Industry-University-Research Cooperation Education of Tourism English under Big Data Technology
Authors: Le Sisi 
Published: August 2021

Abstract
With the development of computer technology and the enhancement of chip processing ability, data accumulation will become faster and more convenient. The rapid growth of large amount of data will enable people to find more and more patterns. According to large data, tourism English industry-university-research cooperation tourism can greatly improve students’ comprehensive ability, we selected 60 students from the Foreign Language Institute and divided them equally into two groups. Among them, 30 students in Group A used big data technology for the industry-university-research cooperation education of tourism English and 30 students in Group B used traditional technology. Methods Travel English education was conducted. With the development of the experiment time, we found that there were significant differences between the two groups. The experimental results showed that 30 students in group A were better than those in group B in expressive ability test. The average test of group A students was 24.21, the average test of group B students was 15.10, the difference between the two groups was 9.11, and the ability of tour guide and explanation in group A was 6.97 higher than that in group B. Therefore, using big data technology can not only improve the expressive ability, but also improve the ability of tour guides and explanations. Big data can help students better adapt to their posts, move to society and create their own value.
RETRACTED: Development and Practice of the Course System of Embedded Technology Specialty in the Context of “Course Certificate Integration” Based on Big Data Analysis
Authors: Qian Wen 
Published: August 2021

Abstract
The construction of modern vocational education system is an important task in the field of vocational education in China at present and in the future. This paper mainly studies the development and practice of the curriculum system of embedded technology major under the background of “course and certificate integration” based on big data analysis. The basic route of this study is based on professional standards, analysis of national vocational qualification level standards and professional curriculum system, the relation between and based on enterprise actual job skills, aiming at vocational ability literacy training, introduce the professional standard in higher vocational embedded technology specialty construction, the establishment of embedded technology professional standard in higher vocational training, establish in the higher vocational curriculum system. Design a set of student-centered, give full play to the students’ subjective initiative of a complete teaching process, and for a chapter given a complete teaching process. After the end of the experiment, SPSS was used to analyze the performance data of the two classes. It was found that after a period of learning, the two classes without significant differences began to show significant differences, including the performance of the experimental class was significantly improved compared with the control class, and the experimental class was also better than the control class in terms of pass rate and excellence rate.
RETRACTED: A New Method of Free Combat Teaching Based on Artificial Intelligence
Authors: Xu Yijun , Lv Lili 
Published: August 2021

Abstract
Artificial intelligence is an effective way to promote the intelligent development of education and teaching, and also an important concept of the development of quality education. This paper mainly studies the new teaching method of free combat based on artificial intelligence technology. This paper analyzes the innovation brought to education by intelligent image recognition, speech recognition, big data analysis, deep learning, intelligent teaching robot and other related technologies in the era of artificial intelligence. Meanwhile, it analyzes and discusses the influence of teaching reform in the era of artificial intelligence development. From the experimental results of this paper, it can be seen that from the perspective of students’ free combat sports skills, using artificial intelligence technology can more effectively improve students’ free combat sports skills than using conventional teaching methods to conduct elective free combat teaching. In the elective teaching of free combat in colleges and universities, the application of artificial intelligence skills can effectively improve the excellent rate and good rate, control the pass rate and reduce the failure rate of students’ examination results of free combat course.
RETRACTED: Advantages of Computer Aided Audit Technology in Enterprise Internal Audit
Authors: Xie Peibo 
Published: August 2021

Abstract
Corporate internal audit is a review of the company’s own operations. However, with the development of the company, the original manual audit method is becoming more and more difficult to meet the needs of the company. Under the background of big data, the current high redundancy and Involving a wide range of characteristics, computer auditing technology shows advantages that traditional audits do not have. In order to study the role of computer-aided auditing technology in corporate internal auditing, this paper uses distributed computing, using case analysis, literature analysis and other methods to collect data from databases such as CNKI, Wanfang Database, and SSCI, and build a The model of computer-aided audit in enterprise internal audit. Experimental results prove that through computer-assisted auditing, the audit-related efficiency of enterprises has been greatly improved, and the growth rate is about 30%. The accuracy and application efficiency of audit information have also been improved, which is about 20% higher than that of traditional audit methods. This shows that computer-aided audit technology can play an important role in the internal audit work of enterprises.
Application of Online and Offline Teaching Mode in the Course of “Embedded System” Under the Background of Internet
Authors: Liu Qiang , Jiang Yiran 
Published: August 2021

Abstract
Since the Internet was proposed many years ago, the application of the Internet has become diverse. Now, with the importance of education, the Internet is gradually being used in teaching. Therefore, the purpose of this paper is to explore the application of online and offline teaching mode in embedded system courses under the background of the Internet. In this paper, after consulting the literature on embedded systems and online and offline education models, the data model is constructed by using BP neural network algorithm to process and analyze the relevant data, and the experimental results are drawn. Experimental results show that the Internet-based online and offline teaching model is of some help to the embedded system curriculum.
Scheduling Strategy of Real-Time Charging Optimization of Electric Vehicles Based on Deep Learning
Authors: Jiang Yiran , Liu Qiang , Wu Hui 
Published: August 2021

Abstract
With the development of the times, more and more kinds of energy, and now, the country is vigorously advocating the use of new energy and clean energy, so electric vehicles came into being. Its main purpose is to replace the traditional car fuel consumption and use the new car power consumption to achieve the role of protecting the environment. But for electric cars, it needs to solve a problem with real-time charging compared to conventional cars. Because with the development of the industrial age, gas stations have been basically spread around the main road and various large residential areas, to facilitate the traditional car refueling. But electric vehicles have only been proposed and manufactured for a few years, and the charging piles have not yet been fully distributed everywhere to meet the charging needs of electric vehicles. Therefore, the charging of electric vehicles is one of the core issues of whether electric vehicles can be popularized. Therefore, the purpose of this paper is to use deep learning algorithm to optimize the scheduling of real-time charging of electric vehicles. This paper refers to the planning ideas of gas station establishment at home and abroad, and after collecting the data on the purchase and growth rate of electric vehicles in recent years, the statistical research is carried out, and then the deep learning algorithm is used to unify and study all the data, so as to get a roughly needed charging pile size and distribution map. Then the sandbox simulation is carried out to get the experimental results. Experimental results show that the strategy of charging optimization scheduling based on deep learning algorithm can help electric vehicles to realize real-time charging better, more convenient and more user-friendly.