bluuebunny/crossref_metadata_2025 huggingface dataset:
Sports Video Tracking Technology Based on Mean Shift and Color Histogram Algorithm
Authors: Shen Zhen
Published: April 2021

With the development of society, people pay more and more attention to sports. In this context, sports video tracking technology has become a research hotspot. At present, a lot of research has been done on target tracking technology at home and abroad, and great breakthroughs have been made. However, there are still some deficiencies in the existing video tracking algorithms. On this basis, this paper combines the mean shift algorithm with color histogram algorithm, and proposes a new sports video tracking technology algorithm. In the study, in order to verify the effectiveness of this method, we select two videos to do experiments. In order to highlight the advantages of this method, we will use the mean shift algorithm for sports video tracking method and the color histogram algorithm for sports video tracking method as a comparison. The results show that, overall, the tracking accuracy of the proposed method is the highest, with an average tracking accuracy of 95.9%, followed by the mean shift algorithm for sports video tracking. The average tracking accuracy of this method is 90.35%. Finally, the color histogram algorithm is used to track sports video, and the tracking accuracy of this method is accurate the rate was 89.8%. In addition, the tracking speed of the proposed method is better than the other two methods. It can be seen that this method has good performance and can track sports video quickly and accurately.
Artificial Intelligence Technology Monitoring Terminal for Mechanical Vibration Wireless Sensor
Authors: Zhang Shucheng
Published: April 2021

Wireless sensor network has the characteristics of distributed, self-organizing, strong expansibility, convenient and flexible deployment, which can effectively make up for the deficiency of traditional limited monitoring system in special application occasions such as closed, large displacement, rotation, etc., and has a huge application prospect in the field of mechanical vibration monitoring. This paper mainly studies the design of wireless sensor monitoring terminal for mechanical vibration with artificial intelligence technology. In view of the narrow wireless channel and low communication efficiency of the current mechanical vibration wireless sensor network nodes, this paper proposes a dual-core architecture node design method supporting IEEE 802.11 protocol, which provides the cohardware support for the low energy consumption and high efficiency transmission of large amounts of data.
CNN Face Live Detection Algorithm Based on Binocular Camera
Authors: Li Chunyan , Li Rui , Sun Jianhong
Published: April 2021

In this paper, a convolutional neural network (CNN) detection analysis is performed for live face detection by binocular cameras, and a binocular stereo matching network with fused edge detection is designed and implemented to target the quality of image details and parallax prediction at edges. Experiments show that the random sample pair confusion loss function can effectively improve the accuracy and generalization of the face live detection algorithm; the multi-task training approach can improve the performance of both faces live detection and face recognition; the algorithm shows excellent performance in both faces live detection and face recognition, especially the generalization of face live detection is greatly improved. A pre-trained convolutional neural network is used to extract features, and a content loss function and a domain loss function are designed to measure the feature distance between two images, and a feedforward neural network is trained as an image transformation network to migrate samples to the same domain. Experiments show that the algorithm can reduce the feature differences between the face live detection data of the two domains and can be used to improve the generalization of the face live detection algorithm.
Research on Optimization of Distributed Node Location Algorithm in Wireless Sensor Networks
Authors: Xu Hui
Published: April 2021

This paper studies the related theories of wireless sensor networks, and an improved DV-Hop algorithm is proposed, which used to estimate the distance error mainly based on the error of average per hop distance, unknown nodes and anchor nodes in traditional algorithm. Through the simulation analysis, it can be found that compared with the traditional Location algorithm of DV-Hop and other improved algorithm, the improved algorithm proposed in this paper can reduce the location error and improve the location accuracy when the proportion of the anchor nodes is moderate and the communication radius is small, and this algorithm is suitable for the low power and wide range wireless sensor network environment.
Fault Diagnosis Method of AC Transmission Controller Based on PLC Technology
Authors: Zhang Liping
Published: April 2021

In recent decades, as a clean and efficient secondary energy source in modern society, electricity has unique advantages, is easy to convert, and is suitable for other forms of energy for centralized mass production. This article introduces a special diagnostic technology through PLC technology, which is one of the most eye-catching technologies in today’s new technologies, especially the plan to solve operational problems through radio and electrical system controllers. According to the standard and modulate the parameters of the controller system. The experiments in this paper show that the use of particle swarm algorithm for fault diagnosis of the controller can greatly simplify the complexity of the power grid, and can well control the power flow of the power grid; it can increase the transmission capacity of the network.30%; Avoid the overload phenomenon of parallel operation lines; improve the static and transient stability of the AC transmission controller system.
Interactive Film and Television Animation Special Effects Production Techniques in Visual Design
Authors: Ying Zhiyuan
Published: April 2021

Film and television special effect embodies the new development of the combination of visual technology and art. It has become an effective expression method of contemporary movies and an indispensable technical guarantee for creative realization. This article mainly studies the special effects of interactive film and television animation in visual design. This article attempts to take the perspective of visual design as an entry point, push traditional film and television animation to the forefront of technology, and combine the new characteristics of film and television animation with the changes in science to analyze the influence of traditional film special effects theory on digital technology. The changes in the spatial form that have occurred underneath. In this special effects creation, film and television special effects technology and space performance theory are combined. In theory, the three spatial forms in film and television special effects creation are redefined and expressed according to creative practice. They are spatial expression from scratch, spatial expression combining virtual and real, and interactive expression between space and people or things. Technically, it has achieved a breakthrough in its own capabilities. Experimental data shows that under the three backgrounds of medium saturation + high brightness, low brightness + high saturation, and medium brightness + high saturation, there is no more comfortable foreground color to match with it, showing obvious visual discomfort.
Video Abnormal Event Detection Based on Optical Flow and 3DCNN
Authors: Li Zhenjiang , Wu Guangli , Liu Ye , Shuai Yifan , Wang Lei
Published: April 2021

With the advancement of technology, the detection of abnormal events in videos has extensive theoretical and practical significance. Most events in videos are normal events, but a small number of abnormal events contain a lot of information. How to identify individual abnormal events from massive videos is the focus of concern. The paper made full use of the spatio-temporal continuity of video images. Firstly, a space-time cube was constructed by integrating optical flow information; secondly, a multi-layer three-dimensional convolutional neural network model was constructed; finally, the entire process of video abnormal event detection was realized based on this model. The experiment on the UCSD dataset showed that the method in this paper can effectively detect abnormal events in videos.
Exploring the Application of Photography in Graphic Design
Authors: Chen Tiantian , Pang Bingnan , Dai Minhong
Published: April 2021

With the continuous improvement of information technology, the era of map reading has come, the popularity of graphic design is getting stronger and stronger, and there are more and more integration and interlacing between different art disciplines, and photography is also involved as an important part and has played an active role in promoting the development of graphic design. The application of photography in graphic design enhances the visual attractiveness of graphic design works, making the images of works richer and the effect more intuitive and strong. The updating of the technical concept of graphic design also promotes the innovation of photography technology in the new era, and the two complement each other and improve each other, jointly promoting the development of the visual industry.
Image Processing in Industrial Design
Authors: Zang Suran , Xu Lianjiang , Li Xinze
Published: April 2021

Image processing is the core of visual culture. Visual culture is formed and developed around image processing, which is analyzed from the essence of visual design. It can be understood that visualization constitutes the external form of image processing, the visual regime constitutes the internal mechanism of image processing, among which the industrial design should grasp the image processing. Shape constitutes visual cognition, color arouses visual emotion, texture can obtain visual extension. Industrial design is the rational integration of product practicability, beauty and environment. The research on the aesthetic form and visual characteristics of industrial design is the main content of industrial design research [1]. Using computer vision expression method to evaluate the rationality of industrial design has application prospects. Using computer vision expression method, combined with graphics and image processing, the optimization design of the structure, structure, shape and color of workpiece products can be realized.
Digital PCR Fluorescence Image Segmentation Algorithm Based on Image Processing
Authors: Mu Honghui , Zhang Jiayan
Published: April 2021

Digital PCR (Droplet digital Polymerase Chain Reaction) technology is currently one of the mainstream technologies for the detection and quantification of nucleic acid samples. This technology is widely used in the field of molecular biology. This technology counts the number of negative and positive reaction chambers in fluorescent images, and realizes absolute quantification of nucleic acid molecules. Due to the influence of the sampling equipment, some fluorescent images have uneven illumination, and the sampled droplet images will have bad spots and large areas of bright spots. The traditional Otsu segmentation algorithm cannot achieve the ideal segmentation effect. Aiming at the problem of under-segmentation of fluorescent images with uneven illumination using the traditional Otsu method, this paper proposes an algorithm for local segmentation based on Otsu segmentation. This algorithm realizes the segmentation of fluorescent images with uneven illumination and detects bright spots in large areas. The problems of dead pixel removal and scratch processing have been well resolved.
Computer Information Technology Application in the Engineering Cost Information Management Research
Authors: Zhang Huwei
Published: April 2021

With the arrival of the information age and constant progress of computer network technology, project cost information management has been in progress transformed. Engineering cost staff gradually changed the traditional way of engineering cost management, no longer use pen, paper, calculator and so on to complete the work of engineering cost, but a leap forward in computer information technology applied to the work of engineering cost information management, a lot more efficiency and quality of engineering cost information management. This article summarized the meaning of engineering information system of cost control and its composition, on the basis of based on FUIG function by SVM model of engineering cost information management efficiency of data analyzing, comparing with the accurate data to demonstrate application of computer information technology management of engineering cost information advantage over traditional engineering cost information management, and prospects the development trend of engineering cost management.
Innovative Application of Computer Technology in Engineering Management
Authors: Xu Ning
Published: April 2021

With the rapid development of China’s economy, computers have been well developed at a certain level. In most of our project management process, if we can effectively use computer technology, to a certain extent, we can improve the quality and efficiency of the project. Based on this, this paper studies the innovative application of computer technology in engineering management. In this paper, an engineering team is selected as the research object. Based on the theory of computer technology and RDF graph data flow division algorithm, the engineering resource utilization rate, project management efficiency and engineering difficulty of the engineering team before and after the application of computer technology for project management are compared. The research results show that before the application of computer technology for project management, the resource utilization rate of engineering team is 72.5%, the project management efficiency is 61.6%, and the engineering construction difficulty is 76.3%. After the application of computer technology to project management, the data have changed, the resource utilization rate has increased to 88.3%, the pipeline efficiency has increased to 79.3%, and the engineering difficulty has been reduced to It can be seen from the data changes that the same engineering team has changed significantly before and after the application of computer technology in project management, which not only saves engineering resources, but also effectively improves the engineering efficiency.
English Hybrid Teaching Model Analysis Teaching Based on Association Algorithm
Authors: Zhang Jing
Published: April 2021

English autonomous learning ability can help middle school students to improve their self-inquiry ability, establish correct personality and strengthen their thinking, so that students can feel the joy of success after studying hard. The cultivation of college students’ English autonomous learning ability is one of the goals of the new curriculum. To enhance college students’ interest in English learning, to promote their active exploration of English knowledge, to attract their attention, to form active learning motivation, and to scientifically arrange their daily learning of English subjects. Gradually form English learning ability, promote their English achievement, this is our college English teachers to develop students’ autonomous learning ability. Based on the practice method of English autonomous learning ability training in higher vocational colleges based on SPOC, this paper establishes the weight index distribution, and divides 60 testers into high and low groups according to 27% of the project scores.
The Intelligent Control of Emulsion Pump Station
Authors: Tian Cong , Wei Xiwen , Zheng Yi
Published: April 2021

Emulsion pump is one of the key equipment of coal mining working face. With the development of comprehensive mining technology of underground coal mine, the single machine power of emulsion pump station is increasing constantly. Domestic emulsion pump manufacturers have developed an emulsion pump with an installed capacity of 315KW. How to ensure the continuous safe and stable operation of emulsion pump is of great significance to the efficient and safe production of coal mine. It is urgent for the coal mine to operate the emulsion pump station safely and efficiently. By analyzing the demand of intelligent control system of emulsion pump station, the operation target and performance requirement of the system are defined. By establishing the prediction model of shearer speed, the power demand of hydraulic support is judged. The fluid supply line of emulsion pump station is modeled by AMESim software, and the pressure loss model is simulated and analyzed. The power matching control technology is introduced into the pump station control system to judge the power demand of hydraulic support and optimize the output of emulsion pump station. The experimental platform of the power matching intelligent control system of the emulsion pump station was built and verified by experiments.
Robot Path Planning Method Based on Genetic Algorithm
Authors: Shao Juan
Published: April 2021

Intelligent mobile robots are robots that can automatically complete driving tasks without human intervention. Route planning is the main problem in robotics research. The goal is to find the lowest cost, conflict-free route from the known starting point of the obstacle route to the known end point. Genetic algorithms are based on the natural selection of populations and the random, repetitive and evolutionary processes of genetics. This is a very effective algorithm in the field of route planning research. In this article, I will first explain the design principles of mobile robots. After comparing the advantages and disadvantages of various routing methods, a genetic algorithm was chosen to solve the routing problem of mobile robots. Then, through detailed research on genetic algorithm, a solution to robot path programming based on genetic algorithm in static and dynamic environments is proposed. In the design of genetic operons, standardization, insertion and deletion of operons have been added to make up for the lack of basic operons. At the same time, the genetic algorithm is optimized through adaptive mutation and crossover rate. You can improve the algorithm by adding new operators and adaptive methods to solve the problem that the target point cannot be reached due to the local minima in the evolution process. Finally, in three static environments with different levels of complexity, simulation experiments are carried out and the simulation results are analyzed. The influence of different fitness parameters on the path planning results is discussed, and the dynamic path planning simulation is carried out. Through comparison with other methods, it can be found that in the same environment, the path planning method based on genetic algorithm saves at least 5% time than Dijkstra algorithm in search time.
Application of Computer Technology in Vocal Music Teaching
Authors: Fan Yuebin
Published: April 2021

Since the 1990s, computer technology has gradually developed and has been widely used in various fields of society. Vocal music education may be affected by computer technology. With the entry of computers into thousands of households, the number of people using network learning increases, and vocal music education also ushers in opportunities. With the continuous maturity of computer technology, the development of relevant education model, improve the efficiency and performance of education, cultivate more things. In vocal music education, the rational use of computer technology can integrate text, sound, animation and influence, in order to make students understand and master the abstract vocal music knowledge. The introduction of digital technology in phonetic education can make vocal music education more intuitive. The content of digital music education includes multimedia music education, digital music production and online music education. Students can receive education from all aspects, expand the field of education and improve artistic performance. With the continuous development of computer technology, it emerges as the times require under the new normal and is closely related to various fields of social construction. As one of the development forms of educational activities in the era of big data, computer technology has the advantages of advanced technology, rich resources, diversified forms and strong interactivity. Therefore, it can improve the comprehensive quality of education, and the development of relevant teaching modes is widely concerned in the field of education. Objectively, it creates convenient conditions for students’ comprehensive learning, independent development and in-depth exploration. With the development of computer technology, in order to improve the effect of college vocal music education, computer technology is widely used in various fields of society. It plays a role in promoting the development of various fields of society. At the same time, with the application of computer education technology in vocal music education, the teaching methods and teaching methods of vocal music education have also changed. In vocal music education, the discussion of computer technology has become an important reality to improve the quality and efficiency of vocal music education. This article, as the starting point and specific application of computer technology in vocal music education, explores the methods to improve the quality and efficiency of vocal music education, and studies and discusses the application characteristics and value of computer technology in vocal music education.
Research on the Application of Network Video Teaching in PE Teaching in Colleges
Authors: Gong Xun
Published: April 2021

Since the emergence of Internet technology, its development momentum has shown an unstoppable trend. The emergence of the Internet has changed people’s work and life. Especially the impact on the education field is even more significant. The micro-video teaching method under the background of Internet technology is a major innovation in the field of education, which has greatly promoted the development of education and teaching. As a new teaching mode, it makes good use of the integration of information technology and teaching methods to make classroom teaching more intuitive, vivid, and vivid, greatly improving students’ initiative and enthusiasm for learning, and expanding students’ horizons. Expand the classroom capacity, thereby improving classroom efficiency. With the gradual maturity of network technology, more and more micro-video teaching is applied to teaching practice, especially in college physical education work. It has played an incalculable role. This article will discuss the concept, characteristics and types of micro-video teaching, Production, questions and suggestions to discuss the application of micro-video teaching in college sports centers.
Role of Computer Data Analysis in Applied Mathematics in the Internet Era
Authors: Xu Chongkun
Published: April 2021

With the continuous progress of industrialization, the mechanical manufacturing industry has become a pillar industry of the national economy. Therefore, a large number of professional courses must be based on solid mathematical knowledge, which makes mathematics courses have an extremely important position in professional teaching. From the perspective of professional teaching, there is a big gap between the professional teaching and the professional teaching, but there is no need for students to give full play to the teaching objectives of mathematics. Through questionnaire survey, literature review and analysis, this paper finds out the loopholes and shortcomings of the current mathematics teaching mode. Students are not enthusiastic about mathematics, they do not identify with mathematics discipline from the bottom of their heart, and teachers can not cultivate students’ interest. I hope this paper can provide new ideas for mathematics education.
Exploration of Quant Trading Talents’ Training Mode of University Education Based on Artificial Intelligence
Authors: Chen Jiaxuan
Published: April 2021

In recent years, the topic of artificial intelligence has become more and more popular, especially machine learning has become a hot issue in academia. Quant trading ability has been an important quality of financial market in recent years, but quant trading talents training mode is still facing some practical problem. It is of great significance to set up quant trading simulation experiment to cultivating financial talents. In view of it, this paper discusses the specific content of quant trading simulation experiment, analyzes the necessity to cultivate quant trading courses and professional teachers.
Characteristics and Situation Analysis of Physician Competency Based on Big Data
Authors: Yang Yajun , Gong Hanxiang
Published: April 2021

Through the research and analysis of domestic journal literature in the field from 2011 to 2020, it hopes to provide a reference for advancing the competence of doctors in my country. Methods: By searching the full-text database of academic journals of China HowNet, we can obtain relevant literatures on physician competency research from 2011 to 2020, and use statistical analysis tools such as Bicomb, SPSS19.0, gcluta 2.0, Excel and Ucinet for co-word analysis. Results: There are 435 effective literatures, 16 high-frequency journals and 34 core keywords. The number of papers related to doctor’s job competency is on the rise, and the journals with high citation frequency are of high quality. The top three in terms of the number of papers published are the first hospital of Peking University, the First Affiliated Hospital of Zhejiang University and Peking Union Medical College Hospital Affiliated to Chinese Academy of Medical Sciences. Through the two-way cluster analysis, the research on the competency of doctors in China can be summarized into four clustering hotspots: the research on the competency of general practitioners, the research on the competency of clinical trainees, the research on the competency evaluation of doctors and the research on the competency based training system of doctors.. Conclusion: The research reveals the hot spots in the field of research on the competence of doctors in my country, and provides some references for the development direction of this field in my country.
Mass Tourism Data Analysis API Based on E-Commerce Platform
Authors: Yin Xiaoyin , He Jiangnan , Gao Ying , Li Jingxian
Published: April 2021

With the rapid development of Internet information technology, e-commerce transactions are accepted and known by more and more people, and more and more attention is paid by major enterprises. This paper mainly studies the design and implementation of mass tourism data analysis API based on e-commerce platform. The software system of this paper adopts the method of black box testing, which basically covers the main business logic of each functional module. The class and method of task scheduling, monitoring alarm and API gateway service module are tested, which basically covers the logic of class method of these modules. The system performance test is mainly to test the system by recording test script by automatic test tool. In this paper, the system response speed, concurrency and stability index are tested by using the automatic test tool load runner. The data shows that when the number of API requests reaches 4200, there will be a certain number of requests failed to respond to processing. The results show that the system has achieved the design goals in advance and basically completed the requirements listed in the requirements.
Design and Implementation of Hotel Network Management Information System in the Era of Big Data
Authors: Yu Yanjie
Published: April 2021

The huge growth of social media and consumer generated content on the Internet has inspired the development of so-called big data analysis to understand and solve real-life problems. However, although a few studies have used new data sources to solve the important research problems in the hotel industry, there is no systematic application of big data analysis technology in these studies. The purpose of this study is to explore and demonstrate the utility of big data analysis to better understand important hotel industry issues. The software is used to analyze the big data generated in the hotel reservation module, customer check module and customer bill module in the hotel management system. This paper discusses the dimensions of hotel service quality, evaluates its relative importance, and evaluates the service quality of Furtherance hotel from the perspective of guests. Through the analysis of academic research and hotel operators’ current practice, this paper sorts out and clarifies the problems related to online reviews. Taking advantage of the advantages of user reviews, this paper aims to provide new insights into the determinants of hotel customer satisfaction by distinguishing customers from different linguistic groups. The results show that the return on net assets is 34%, the return on total assets is 26%, the profit margin on sales is 16%, and the asset liability ratio is 21%.
Origin Estimation Model and Algorithm of Rumor Source in Social Networks
Authors: Pan Keyi
Published: April 2021

In the network model, few put effort to study the methodology to find the source of diffusion while many topics on information diffusion are discussed in depth. To find the source of rumor is a different story from other problem like how to estimate the effect of rumor. The rumor source tracking is a substantially important problem since it is closely connected to the web security and social steadiness during convulsion. When the existing theorem based on diffusion problem cannot do much help on tracking rumor source, some novel methodologies using mathematical modeling and monte-carlo simulation can tackle the problem systematically. In this paper, we first introduce a target variable, a error function, to evaluate the estimation by comparing the difference of of infected spots which affected by the rumor. Then we proved the complexity of source backtracking problem. We imported the Apporxmation Algorithm to optimize the monte-carlo trials for the convergence of minimized error function. For our experiments on email records of European research institutions, we implement our error function checking criteria to verify the effectiveness and suitability of our framework, as well as the evaluation of some special situation and advice for further improvement.
Motivation of Students’ Autonomous Learning in English MOOC Teaching Based on Big Data Analysis
Authors: Xiao Longyuan
Published: April 2021

With the rapid development of big data in my country and the large-scale promotion of English MOOC courses in recent years, students’ autonomous learning has become more and more important. Autonomous learning by students is not only conducive to improving students’ course performance, but also an important development factor for students’ lifelong learning and sustainable development. MOOC impacts the traditional English curriculum and teaching mode. Some students’ basic qualities are generally poor, their learning goals are not clear, the learning methods and objectives are not correct, and they lack active learning motivation and the ability to solve problems independently. It is an urgent task for us to improve students’ learning motivation. The purpose of this article is to study the motivation of students’ autonomous learning in English MOOC teaching based on big data analysis. Based on the relevant theories of educational psychology, this thesis describes the internal connection between the English MOOC teaching model under big data and the theory of learning motivation. This article makes a preliminary discussion on how to effectively combine English MOOC teaching under big data with learning motivation theory, so as to improve students’ autonomous learning motivation. This paper proposes a comparative analysis method to compare traditional teaching and MOOC teaching to analyze its influence on students’ learning motivation. This article puts forward the theory of interaction and autonomous learning. Finally, a variety of manifestations are adopted, and the comparison trend chart is intuitively displayed to users. Experimental research shows that the survey results show that the experimental class score is 25.5, while the traditional class is 19.30, both of which do not reach 90% of the total score, indicating that the students’ motivation for learning English is insufficient. Using the teaching model of English MOOC teaching based on big data analysis helps to improve the overall student’s learning motivation level. According to the experimental results, it has increased by 16.6%.
Tourism Management System Based on GIS
Authors: Wei Xiangyun
Published: April 2021

Tourism is the industry with the most vitality and development potential. Today, it is the largest industry in the world. It is not only recognized by many developed countries, but also recognized as a priority industry by more and more developing countries and regions. Today, with the development of the knowledge economy, information has become the lifeblood of the tourism industry, and computerization has become an important factor in promoting overall economic development. And global society. This article mainly introduces the resources and management information of tourism service facilities based on the tourism management system GIS. In this article, we will study and discuss the application of GIS in tourism information systems, integrate the concept of autonomous tourism into the system, make the country a research field, and establish, verify and implement corresponding autonomous tourism information systems. The experimental results of this paper show that the construction of this system has improved the management level of map data in tourist destinations. The map data is continuously updated. The source of land is managed within a week, and the passenger flow in Sanhe area has increased by 15%. Sustainable development is a favorable guarantee.
Computer Performance Appraisal System Based on Balanced Scorecard under the Internet Background
Authors: Wu Haiyan , Qi Yongjun
Published: April 2021

In the new era of rapid development of Internet information technology and data processing technology, although the emergence of Internet technology has brought changes that cannot be underestimated in various fields of society, the computer performance evaluation system based on the Internet in the era of big data will definitely follow Technology trends in the new era. The balanced scorecard is one of the most commonly used financial performance appraisal tools in academia. The research purpose of this article is to study the innovation of enterprise computer performance appraisal management system in the current Internet era with the continuous development of big data technology. This paper first uses a neural network algorithm to build a model for it. Through this algorithm combined with a questionnaire survey method to screen the evaluation indicators of the computer performance evaluation system of Internet companies in the eastern coastal area, and finally build a BP model through the enterprise computer performance evaluation system. Model calculation samples, after calculation, the computer performance analysis of the target company can be obtained, and on the basis of summarizing the computer performance evaluation system and the balanced score card of the enterprise in the Internet era, the in-depth understanding and conclusion can be drawn. After studying the setting of performance appraisal system indicators, the setting of personal growth indicators is insufficient, the lack of effective cost control and the setting of computer performance indicators have not yet formed a complete system problem. This paper combines the actual situation of computer performance appraisal of Internet companies in the eastern coastal areas, applies the balanced scorecard to set up a management index system for the company’s computer performance appraisal, and uses the analytic hierarchy process to analyze the weights of the various indicators of the corporate computer performance appraisal balanced scorecard. Compare the evaluation results with the designated enterprise computer performance management evaluation standards. Experimental research results show that the balanced scorecard can effectively improve the efficiency of the computer performance appraisal system, and the computer performance appraisal can be clearer, and based on the Internet background and big data technology, the performance appraisal system can be made clearer.
Quantitative Analysis of Salary Data in the Big Data Era
Authors: Li Biqi
Published: April 2021

The advent of the big data era has brought new opportunities and challenges to every industry, as well as the new insights for the development of human resource management. Compensation management is regarded as an important part of human resource management. Apply big data principles and methods into this field to improve business efficiency and make wiser decisions, which has become a frequent topic of discussion among scholars. This article firstly focuses on the quantitative analysis of compensation data in the era of big data, and then clarifies the main idea of big data human resource management and quantitative analysis of salary data, identifies the problems on the traditional quantitative analysis of salary data, and finally presents the path of quantitative analysis of salary data in the era of big data.
RETRACTED: Application and Management of Financial Sharing Under the Background of Big Data Era
Authors: Xue Lingqi
Published: April 2021

With the advent of the big data(BD) era, financial information and group financial management have shown new characteristics. BD technology also provides support for the construction of shared centers. The establishment of financial shared service centers is the future development direction of large and medium-sized enterprises. The purpose of this article is to study the application and management of financial sharing under the background of the BD era. This article is the development trend of financial shared service center under the background of BD. It briefly described the development and evolution of financial shared services, and pointed out the challenges and future development trends of the construction of financial shared service centers under the background of BD. This article discusses the principles, objectives, overall planning, specific design and issues that should be paid attention to in the construction of the group’s financial shared service center under the background of BD. This paper proposes the framework model and process design of group capital management. Taking the framework model of the financial shared service center under cloud accounting as the core, build a group fund management framework model based on financial shared services under cloud accounting, and then further develop process design for fund budget management, fund control management, fund supervision and management, and fund assessment management. At the same time, it analyzes the causes of the group’s existing personnel career planning and high operating costs, proposes solutions, and investigates the development trend of the financial shared service center. Research shows that the audit error rate of the financial shared service center of surveyed companies in 2014 was 1.27% to 0.57% in 2018. It can be seen that the audit error rate basically fluctuates, which further verifies that the financial shared service center has strict requirements for internal management. The internal service level of the Financial Shared Service Center is continuously optimized and improved.
Development of Invoice Making Robot for Catering Chain Enterprises
Authors: Zou Dejun
Published: April 2021

The billing business of catering chain enterprises is faced with the characteristics of wide distribution and large customer flow. It needs to take into account the cash flow control, responsibility assessment and business performance incentive of each store business, and faces the problems of heavy task and low efficiency. Through RPA, the work efficiency can be greatly improved, work errors and omissions can be reduced, fraud can be prevented to a certain extent, cash flow control can be strengthened, and the effect of performance appraisal can be improved.
Library Information Construction and Service Trend under Big Data
Authors: Zhen Yeping
Published: April 2021

With the rapid development of knowledge economy and the rapid progress of science and technology, in order to adapt to the pace of the times, university libraries have also undergone tremendous changes, especially in the context of information technology. The traditional service mode of library cannot meet the demand of teachers and students for cultural knowledge information. Is not a single demand for knowledge, but more pursuit of personalization, specialization and diversification? Therefore, it is urgent for the library to change the old service mode. Under this background, the university library has been greatly challenged in the service concept and service mode. Only through the application of personalized service mode through innovative service mode, the university library sets up individualized information service channel according to the user’s information demand behavior. And through the analysis of user’s habits and personal characteristics to meet the user’s potential information needs. Through the investigation and investigation of a university in our province, the number of people who do not understand the personalized recommendation service is up to 115, accounting for 40.35% of the total.
Application of 3D Digital Modeling Technology in the Display of Marine Fish Science in the South China Sea
Authors: Dai Minhong , Wen Cui , Chen Tiantian , Pang Bingnan
Published: April 2021

A The richness of marine fish species in the South China Sea and the popularization of marine culture are beneficial to people’s further understanding of the sea and can enhance marine awareness. With the rapid development of computer and information age, 3D scanning technology, 2D image digital recognition technology, AI artificial intelligence technology and other new technologies are combined into 3D digital modeling technology. However, 3D digital modeling technology is constantly updated, how to use 3D digital modeling technology to display the marine fish in the South China Sea, and how to use 3D next-generation technology to portray details and other technologies to more deeply express biological characteristics and restore science records is still a problem worth exploring.
Analysis on the Application of Computer Information Processing Technology under the Background of Big Data
Authors: Wang Pengwen , Hu Yanan , Huo Jiaofei
Published: April 2021

The era of big data is officially coming, marking that my country has officially entered the era of massive information. Computer information processing technology is an innovative product of the rapid development of my country’s scientific and technological information field, which is of great significance to the development of society. In this regard, this article mainly discusses the application of computer information processing technology in the context of big data, hoping to bring theoretical help and guidance to relevant technical personnel.
Application of Artificial Intelligence and Big Data in Sports Event Service——Take Guilin as an Example
Authors: Wang Dongle , Liang Feng
Published: April 2021

In recent years, many cities improve their brand awareness by holding sports events, but the traditional service mode of sports events cannot meet the needs of people at present. Through artificial intelligence and big data technology to improve and strengthen the service ability of event organizers is one of the current mainstream trends. However, there are not many practical application cases at present, so this paper puts forward the application research based on artificial intelligence and big data in sports event service, Taking Guilin as an example. This paper makes an in-depth investigation and Research on the demand of different ticket holders for the event service in Guilin. Through the analysis of the survey results, it can be seen that different ticket holders have different demand points for the event service. However, in the traditional service mode of sports events, it is difficult to meet the needs of users due to the lack of data support. In view of this, according to the characteristics of sports event service, combined with artificial intelligence and big data technology, this paper puts forward optimization and improvement measures. By improving the information gain in big data mining, this measure simplifies the algorithm and makes the calculation results more in line with the actual needs of sports event services. Analysis shows that under the background of information age, artificial intelligence and big data technology can further improve the comprehensive ability of China’s sports event service, meet the needs of users, and promote the development of sports.
Application of Artificial Intelligence in Computer Network Technology
Authors: Jingzhou Ji , He Yuexing
Published: April 2021

Now our country has entered the era of rapid development of science and technology, Computer network application technology has generally entered every corner of society, While computer network technology development of computer network communications security, systems management technology are also constantly upgrading requirements, With the rapid development of science and technology, it is obvious that traditional data processing technology is far from meet the actual needs of computer network security required now, In order to be able to solve this problem, artificial intelligence technology is integrated into computer network technology. And with the test of time, The effect achieved by artificial intelligence is also ideal, This article briefly analyzes the application of artificial intelligence technology in computer network technology.