bluuebunny/crossref_metadata_2025_split huggingface dataset:
Intelligent Development of Safety Production System under 5G+ Industrial Internet
Authors: Zhang Tianhao 
Published: April 2021

Abstract
As an opportunity for countries around the world to revitalize the manufacturing industry and the transformation and upgrading of our country’s manufacturing industry, the production safety system is an opportunity for the development of advanced information technology, manufacturing technology and artificial intelligence. At this stage, intelligent manufacturing has set off a global research boom. This article mainly introduces the research on the intelligent development of the safety production system under 5G+ Industrial Internet. Through the intelligent research on the safety production system, the development of the early warning system model of the safety production system is carried out. This paper uses 5G + Industrial Internet combined with intelligent manufacturing technology to establish an early warning model. Increase the efficiency of the production system by 34%, greatly reducing the possibility of safety accidents. Based on the traditional safe production system, facing the development needs of intelligent manufacturing technology, and taking the training goal of advanced skilled talents as the direction, this paper deeply analyzes the requirements and characteristics of the training model for the intelligent manufacturing system, and constructs the corresponding Intelligent manufacturing safety production system.
Application of Computer Technology in Life under the Background of Big Data
Authors: Ma Ziqiang , Zhang Guidong , Wei Danni 
Published: April 2021

Abstract
Since we entered the 21st century, because of the arrival of the information age, the speed of social development has become faster and faster. The unprecedented development of computer technology is also an important cornerstone of the rapid development of society. Computer technology has penetrated into all areas of our production and life. Nowadays, computer technology has become an inseparable and important tool for us. Computer technology has not only gradually changed people’s way of life, but also changed people’s way of thinking. It is precisely because of the continuous development of computers that many earth-shaking changes have taken place in our daily lives. It can be said that the reason for the rapid development of contemporary society is based on the computer. This article uses literature research methods and other methods to study the changes in all aspects of our lives by computers in contemporary society, and to study the changes in our lives by computer technology. Research has shown that computer technology has greatly improved our life efficiency by 67%.
RETRACTED: The Strategy of Statistical Analysis of Audit Data in the Era of Big Data is Explored
Authors: He Hongfei 
Published: April 2021

Abstract
In the current era, audit data statistical analysis strategies have a variety of forms, we can also use a variety of forms to explore. But because the large amount of information has made things complex and changeable, it presents us with a lot of challenges. Since audit data is one of the necessary areas for socialist construction and development, we should value them. Therefore, the purpose of this paper is to use advanced algorithms to analyze the statistical analysis strategy of audit data in the era of big data. Based on the privacy and security provisions of the data age, this paper uses the data flow analysis algorithm to carry out comprehensive modeling analysis to detect the experimental results in order to improve the accuracy of the analysis. The experimental results show that using this algorithm to perform appropriate modeling operations can improve the speed and correctness of statistical analysis of audit data.
Image Processing Technology in Agriculture
Authors: Xu Nan 
Published: April 2021

Abstract
The emergence of image processing technology has greatly promoted the development of agriculture in China. By describing the application status of image processing technology in agriculture and its impact on agricultural output value, it is convenient for people to understand the importance of image processing technology for agricultural development. Based on this, this paper analyzes the application of image processing technology in the field of agriculture. Firstly, this paper analyzes the application of image processing technology in agricultural field. Secondly, in order to highlight the application effect of image processing technology in agricultural field, this paper applies image processing technology and traditional machine recognition technology to crop pest detection, and analyzes their effects. The results showed that the recognition rate of the traditional machine recognition technology was 65%, 71%, 74%, 63%, 64% and 62% respectively. The results show that the recognition rate of this method is 86%, 89%, 91%, 83%, 78% and 79%, respectively. It can be seen that the detection method of image processing technology is better in the detection of crop diseases and insect pests.
Application Analysis of Computer Technology in E-Commerce Network Consumption Interaction
Authors: Feng Lin 
Published: April 2021

Abstract
As companies pay more attention to online marketing, e-commerce has emerged, and it has quickly become the fashion consumers want, and more and more consumers have joined the online market. This article aims to study the application and analysis of computer technology in e-commerce network consumption interaction. The premise of this article is to analyze the classification requirements of computer marketing data in the e-commerce sector, and introduce the application of computer technology in e-commerce consumption in detail, and analyze the interactive role of computer technology in e-commerce consumption. This article defines the behavior of online consumers, and puts forward an e-commerce service quality relationship model, cases, and mathematical statistics for application model experiments. The experimental results in this paper show that the correlation coefficients between the six measurement elements of e-commerce service quality and the attitudes of online consumers are all positive. Among them, security and online consumer attitudes are significantly correlated at the p-value of 0.05.
Discussion on the Application of Computer Network in Intelligent City
Authors: Sun Qingli 
Published: April 2021

Abstract
Promoting the construction of intelligent city is a recognized viewpoint at home and abroad at present. Speeding up the construction of intelligent city is an effective grasp to further promote the governance of intelligent city in China and enhance the efficiency of government management. It is also an inevitable choice to innovate and optimize social and economic management, improve people’s livelihood public services, optimize modern industrial structure and promote economic structural transformation. A street lamp control system based on computer network is designed to analyze the application prospect of computer network technology in the future development of intelligent city. The system meets the basic requirements of 0.3 S and 80% in data transmission rate and success rate, respectively.
Application of Information Security in Image Encryption Processing Based on Big Data
Authors: Lv Haicui 
Published: April 2021

Abstract
With the widespread application of Internet technology, digital image encryption needs to be completed. But image is different from text, it has many inherent characteristics, such as large amount of image data, high redundancy, strong correlation between adjacent pixels. Therefore, the traditional symmetric encryption algorithm data encryption standard and advanced data addition standard will no longer be suitable for image encryption. Based on the concept of information security and image encryption, a new image processing method is proposed in this paper, which is based on the logistic tent sine composite algorithm model. The compression ratio is 75%. When the wrong key is input, the PSNR of the algorithm reconstruction result is only about 5dB, and the reconstruction error error is only 1, so the encryption effect of the model is better.
Application Computer Detection and Control System in Automobile Electronic Control System
Authors: Zhang Qiang , Guo Fengquan , Ma Chuanhai 
Published: April 2021

Abstract
The overall development of our society has promoted the development of computer technology, making the various performances of modern cars more perfect. The application of computer detection and control system technology in automobile electronic control devices can realize the intelligence and automation of automobile control. Now in the information age, computer perception and control technology are widely used in various social production fields, and are also widely used in automotive electronic control systems. Due to the emergence of automotive electronic control technology, automotive performance continues to improve, automotive safety performance improves, and automotive dynamic performance becomes stronger. In the automotive electronic control device, to understand the role of the computer detection and control system more specifically, it is necessary to fully understand and master the operation principle of the computer detection and control technology and the application range of the automotive electronic control device. In order to further improve the safety performance of the vehicle, in addition to the structural improvement of the vehicle itself and the addition of safety protection devices, it is a more effective method to perceive the surrounding environment and vehicle status during driving to achieve control. This article first introduces the computer detection and control technology, and analyzes the application program in the automotive electronic control device for reference.
Treatment Research on Mental Diseases of Brain Organic Mental Disorders Based on Big Data
Authors: Zhang Dongning , Men Ke , Ma Yonghong , Shi Mingjuan , Lei Jing , Zhang Hairui 
Published: April 2021

Abstract
In the field of medical research, even for the same disease, different scientific methods are usually used for research and experiments, but the final results are not the same. This article aims to analyze the treatment plan of organic mental disorder in mental illness based on the big data field of view and synthesize different existing research results. Based on the application of big data in medical experiments, this article uses big data technology to quantitatively analyze and process the related research results of brain organic mental disorders and the treatment data of similar cases, and use appropriate statistical methods to analyze multiple research results Perform quantitative, qualitative, systematic and standardized comprehensive analysis to study different treatment methods and treatment effects of organic mental disorders. The experimental results show that the treatment of organic mental disorders based on big data can observe and understand the patient’s condition in real time, and adjust the treatment plan in time. Compared with traditional treatment methods, the probability of detecting the condition in time has increased by about 13%, and the treatment effect on brain organic mental disorders has increased by about 15%.
Research on the Scheme of Multi-objective Planning Water Resources Optimization System Based on Network Model
Authors: Dai Liyuan , Zhang Cheng 
Published: April 2021

Abstract
Water resource scheduling is a key way to efficiently allocate regional water resources and enhance water use efficiency. This study takes the optimal scheduling of water resources in a certain area as an example. Aims to enhance the ecological, social and economic benefits in the scheduling area, and establish SD-MOP water resources optimal dispatch model. The results show that compared with the traditional SD model, the SD-MOP model predicts that the dispatch result in 2025 is closer to the actual water demand of the city, and saves the cost of 2.053 million yuan, and the pollutant discharge is only 0.891t, which brings considerable economic and environmental benefits.
Application of Internet of Things Technology in Garment Design
Authors: Guo Yan 
Published: April 2021

Abstract
Summary. The Internet of things is an information network with the ability to perceive objects comprehensively and to transmit information reliably and intelligently. The research and development of the Internet of things enable us to obtain real-time information on anything, and also make the economic development of our country slowly enter the track of healthy operation. It is of great strategic significance to speed up the transformation of industry to a higher level, to develop new industries and to take the high-end industrial road. With the development of economic globalization and information globalization, the Internet of things is developing very rapidly in various industries. In view of the problems of low inventory utilization, poor management information and low supply chain efficiency in clothing industry, the application of Internet of things in clothing industry is very important. At present, there are various problems in the sales system of clothing industry, so it is of great significance to apply the collaborative system to the brand clothing system under the Internet of things. Reduce 10% inventory, improve 60% supply chain quality, brand clothing development is of great significance.
Design of intelligent invigilator system based on artificial vision
Authors: Yan Bai , Mei Liu 
Published: April 2021

Abstract
Aiming at the problems of high packet loss rate and low intelligent degree in the current video monitoring system for examination invigilation, an intelligent invigilator system design method based on artificial vision is proposed in this paper. The system design is divided into hardware and software parts, including a / D circuit, clock circuit, video frame cyclic error correction and coding circuit, program loading circuit and output interface circuit. The experimental results show that the system can effectively reduce the video packet loss in the process of invigilation, improve the visual coverage of the invigilator area, and the system is highly integrated and intelligent.
Research on Logistics Distribution in E-commerce Environment Based on Particle Swarm Optimization Algorithm
Authors: Yufeng Zou , Wan Si 
Published: April 2021

Abstract
In order to improve the efficiency of logistics distribution under electronic commerce environment and reduce the logistics cost of distribution path length and time delay, to solve the problem of logistics distribution method at present larger and better convergence, a logistics distribution method in e-commerce environment is proposed based on particle swarm optimization algorithm, the characteristics of construction behavior the characteristics of logistics distribution under the e-commerce environment, the logistics distribution problem into a multi-objective optimization problem of particle swarm optimization. Based on the IOT technology, to establish a stable and efficient logistics supply chain structure, according to the interval distribution characteristics of e-commerce products to the distribution of the time interval of extraction group behavior of particles, the adaptive path characterized the amount of logistics distribution optimization and implementation under the environment of e-commerce logistics distribution path optimization, improve the coverage level of logistics and distribution of the simulation nodes. The results show that the method has stronger spatial search ability, it has higher convergence accuracy and faster search speed, and reduces the time cost and path overhead of logistics delivery.
Data Mining Analysis Research on Intelligent Application of Cloud Accounting——Taking Cloud Accounting and Financial Sharing Center as an Example
Authors: He Qinwei 
Published: April 2021

Abstract
This paper takes the cloud accounting and financial sharing center as the research object. It firstly expounds and analyzes the current status of cloud accounting and financial sharing, its operation management, and data mining intelligence, and provides necessary theoretical support for subsequent optimization. Secondly, through field research, interviews and collection of relevant materials, the current status of cloud accounting and financial sharing center operation management is described and the problems are analyzed. During the description of the current status, problems that can be optimized based on the intelligent perspective of data mining are found. Including performance management, risk management and process management modules. It enriches the method and technical system of cloud accounting and financial sharing centre’s operation management optimization, contributes to the intelligence and automation of cloud accounting and financial sharing centre’s operation management, effectively reduces the cost of operation management of cloud accounting and financial sharing center, and improves the operational management quality.
Grid Architecture and Metadata Model of Computer Education Resources Based on Network Teaching Mode
Authors: Zhang Rongfeng 
Published: April 2021

Abstract
With the continuous progress of our modern science and information technology, network computer distance teaching has gradually become an indispensable part of our school education. In view of the major shortcomings of the current network physical education teaching system, such as the isolation of information resources and the difficulty of updating, the comprehensive research and application of network education information grid management technology and education metadata processing model are established. In the research and analysis, this paper selects 235 network teaching model involved in the sample survey, and through the survey of network teaching mode and traditional teaching mode multimedia, non-linear, independent comparative analysis, from the comparative results show that the network teaching mode is superior to the traditional teaching mode, not only can promote the development of computer teaching mode, but also can improve computer teaching effect. Through the investigation, it is found that both teachers and students have more than 85% recognition of the network teaching mode, which provides a guarantee for the network teaching mode.
Implementation of Computer Telecommunication Network Management and Centralized Monitoring System Based on Genetic Algorithm
Authors: Wu Haiwei , Wu Hanling 
Published: April 2021

Abstract

With the continuous strengthening of competition in China’s telecommunications market, the technology and management of the telecommunications industry have made great strides forward. If the system application, server or network equipment fails and there is no suitable solution, it will have a great impact on the whole business activities of the enterprise. Modern network is no longer simply providing an end-to-end service as reliable as possible, but is committed to providing users with high-quality and reliable communication service quality to meet the bandwidth delay requirements of various applications. The networking of monitoring system is one of the main goals of monitoring system development, which develops with the wide application of information technology represented by Internet. In order to improve the level of operation and maintenance, customer satisfaction and market competitiveness, enterprises undoubtedly need to speed up the construction of integrated network management system. This paper discusses the method of combining genetic algorithm and computer network technology to realize computer telecommunication network management and centralized monitoring, which is of great significance to improve the level of field maintenance and management.
Design and Implementation of Personal Medical Assistant System Based on Edge Computing
Authors: Dong Hongyan , Zhang Xiaozhong , Kong Dehua , Zhang Bo 
Published: April 2021

Abstract
In recent years, people pay more and more attention to health. In order to correctly respond to state of illness and reduce unnecessary medical expenses, in this paper, a personal medical assistant system based on edge computing is proposed. The overall structure and each functional module of the system are designed, and the tasks of each layer in the structure and implementation methods of each function are analyzed in detail. This personal medical assistant system can provide state analysis of illness, diagnosis and treatment advice, remote medical treatment and map navigation services, which can give a great help when people encounter diseases.
Facial Expression Recognition Algorithm Based on Convolution Neural Network and Multi-Feature Fusion
Authors: Tang Xiaoping , zhang Tianping 
Published: April 2021

Abstract
Facial expression recognition is a hot topic in the field of computer vision. The related research results show high application value in many fields, such as human-computer interaction, intelligent emotional robot, fatigue driving detection, medical health, safety prevention and control, teaching evaluation and so on. However, the huge difference within the expression class still has a prominent impact on the expression recognition, and it is difficult to solve this problem by single feature and traditional feature fusion methods. Therefore, this paper uses neural network and feature fusion strategy to further characterize and classify the constructed features. Experiments show that this method can effectively overcome the interference caused by the differences within the expression class, and achieve ideal expression recognition results.
Research on Centroid Localization Algorithm in Wireless Sensor Networks
Authors: Hu Pingfang , Zhang Bo 
Published: April 2021

Abstract
Localization of nodes is the key technology for application of wireless sensor network. The positioning accuracy of centroid localization algorithm completely depends on the size and the distribution density of anchor nodes. Anchor nodes are small and the density of anchor nodes are distributed randomly in actual application, so the positioning accuracy of centroid localization algorithm is relatively low. In order to improve the accuracy of nodes, a method which is centroid localization algorithm of wireless sensor network is proposed based on received signal strength indicator. In the algorithm, firstly, point-to-point signal intensity is computed by RSSI and converts its inverse distance as the centroid algorithm. Then the weights of centroid localization algorithm are used for calculating coordinates of the unknown node. Through the simulation algorithm for testing and analysis, the simulation results show that, compared with the traditional algorithm, the positioning error of the centroid localization algorithm is obviously reduced and the node location accuracy is improved. It is an effective localization algorithm for application of wireless sensor networks.