bluuebunny/crossref_metadata_2025 huggingface dataset:
Research on the Innovative Path of Chinese Education in Colleges and Universities Based on Computer-aided Technology
Authors: Si Yujuan
Published: October 2020

In college teaching, Chinese is an important basic subject and also an important prerequisite for learning other subjects well. Humanistic quality education is a question worth thinking in Chinese teaching. "Internet +" has brought great impact to the field of higher Chinese education, and it has brought opportunities and challenges to the development of Chinese education. This paper first analysis the impact of "Internet +" on Chinese education in colleges and universities based on computer-aided technology. And then it analysis the problems in Chinese education. Finally, this paper puts forward some suggestions for the innovation development.
Research on the Application of Computer and Information Technology in Brand Management
Authors: Yu Yunzhu
Published: October 2020

The application of computer and information technology represented by AI and big data in consumer insights, brand touch points, customer relationship and other fields, has brought changes in terms of accuracy, personality, experiences and efficiency to the brand management of enterprises. This application process also helps enterprises to obtain more scientific brand management decisions, and also brought better brand experiences to consumers. In the future, the role of computer and information technology in brand management will become more and more important. For the next step, the application of computer and information technology in brand management should focus on the direction of improving empathy, experience and efficiency, in order to use the power of technology to let enterprises create greater brand’s value.
RETRACTED: Innovative Research on the Direction of Network Information Based on Cloud Computing Technology
Authors: Du Yuxia , Wang Yifeng , Shang Yuxin
Published: October 2020

Cloud computing is equivalent to a comprehensive technology of multiple independent network technologies, which includes a variety of computing and software and hardware technologies, and is an innovative technology of deep integration of various technologies. Cloud computing is widely used in network services, not only to provide technical support for cross-border integration, high-tech, emerging industries, but also to change the way ordinary people live. This paper mainly starts with the solution of network security problems brought by cloud computing, studies the role of cloud computing technology in the field of network information security and the future innovation trend and direction. The aim is to improve the security of key technologies in network transmission or storage and provide a relatively stable network environment for users.
Using Big Data Technology to Assist in Analyzing the Contemporary Value of Silk Road Merchants’ View of Justice and Profit
Authors: Han Yuxiao
Published: October 2020

The relationship between justice and profit has always been a dialectical process, and merchants have always been a symbol of Silk Road merchants. Since the reform and opening up, China’s market economy has made remarkable achievements. However, the literacy of some citizens has declined sharply, such as individualism, money worship, selfishness, and mercenaries. Therefore, it is of great significance to study the justice and profit concept of Silk Road merchants. First, this article analyzes the concept of justice and profitability of Silk Road merchants with the aid of big data technology.
Research on Information Resource Sharing Mode in University Archives Management Based on Network Cloud Platform
Authors: Rong Zhaoyan
Published: October 2020

With the continuous development of society and the arrival of information age, the mode of information resource sharing in university archives management has become the mainstream trend of development. This paper first introduces the related theoretical concepts of archives information resource management and information resource sharing based on the network cloud platform, then analyses the importance of information resource sharing in the process of archives information management in colleges and universities, and finally gives the strategies of constructing the mode of information resource sharing in archives management in colleges and universities.
Application of Information-based Education Technology to Physics Teaching in the Internet Era
Authors: Ma Zhengrui
Published: October 2020

In the big picture of educational informatization, more and more information tools have been applied to physics teaching in a certain university. Information technology has not only improved teaching quality and efficiency effectively but also placed higher requirements on teachers and students. In this paper, the impact of information-based education technology on physics teaching in the university is explored from three aspects of cloud computing, smartphone, and smart classroom in the Internet era. At the same time, the development direction of physics teaching reform and innovation is discussed to change the existing physics teaching model in the university and improve the physics teaching quality through the information-based education technology in the Internet era.
RETRACTED: Research on Sharing Logistics Information Platform Model based on Computer Big data Technology
Authors: Shen Zhenhua
Published: October 2020

A few years ago, computer big data was still in the stage of concept speculation, but since the 13th five year plan outline pointed out that the national computer big data strategy should be implemented, the situation has changed greatly. The computer big data logistics information platform takes computer big data and Internet of things as the core support, integrates cloud computing, mobile Internet, artificial intelligence and other technologies to provide process visualization, dynamic tracking and integrated intelligent logistics services for relevant users. On this shared information platform, the relevant entities can realize real-time data exchange and information sharing, which greatly improves the operational efficiency of logistics integration of upstream and downstream enterprises in the supply chain, and promotes the development of local economy [1].
Talking about Using Big Data to Analyze the Brand Design of Sports Events to Improve the City Brand Image
Authors: Tu Zhichu
Published: October 2020

Based on the background of big data, this article combines computer big data analysis and literature methods, logic analysis and induction to illustrate how a city can organize and market sports events and use sports as an entry point to carry out urban brand image activities. The research shows that the holding of sports events is an important resource and means of urban brand image, which is conducive to the overall development including urban construction, economy, culture, city image and society. It further clarifies the process of introducing urban brand image of sports events and proposes A few things that should be noted. Explain and demonstrate the theoretical system of "sports events and city brand image", and at the same time provide guidance for theoretical support and practical activities as a city brand image focusing on sports events.
Research on the Implementation Path of Ideological and Political Education in Colleges and Universities Based on Multimedia Technology
Authors: Chen Zhifang
Published: October 2020

Teaching content is the core of classroom teaching. Physical education teachers generally choose appropriate teaching methods and teaching organization forms based on the features of teaching content. The current physical education materials of the new curriculum did not give the relative teachers the specific teaching content of each class, and provided a broad stage for the most relative teachers. How to choose and match teaching content reasonably and effectively is the fundamental guarantee for ameliorating the classroom teaching results. This article probes into the implementation path of college political thought education based on multimedia tech.
Design and Implementation of Information Collector Based on Computer in Internet of Things
Authors: Zheng Zhiguo
Published: October 2020

The information collector based on MCU is helpful to realize the collection, transmission and display of information, and has high stability and cost advantages, so it has high research value. Based on this, this paper first analyzes the key technology, demand and overall scheme of SCM information collector based on computer, and then studies the principle of hardware design, hardware architecture and information adoption and analysis process of SCM information collector system.
Research on Application of Computer Monitoring System Technology in Eddy Current Meter
Authors: Xu Zhihao
Published: October 2020

With the rapid development of measurement technology, measurement plays an important role in economic construction, scientific research and social life. With the development of intelligent and digital technology, there are more and more intelligent flow meters based on different measurement principles. With the improvement of industrial intelligence and industrial production, the demand for centralized monitoring of flowmeter and the formation of flow monitoring system is also growing. Based on the computer monitoring system technology of single chip microcomputer, can bus and configuration software, this paper designs a vortex flow system with open, reliable and communication functions, which improves the detection level of common vortex flow meter through the computer monitoring system technology.
RETRACTED: Research on the Impact of English Language and Literature on College Students’ English Acquisition Ability Based on Big Data Technology
Authors: Ding Zhilei
Published: October 2020

In the era of big data, with the continuous development of English language and literature, it has gradually broken through the traditional teaching design. The renewal of the new model has promoted the development direction of students’ English competence in a full field of vision. This paper explores the main ways to improve English culture and competence of college students. From the perspective of acceptance effect, it investigates the attribution analysis of college students’ learning goals and learning methods based on big data technology. In addition, this paper explores the strategies of rationality teaching in college English based on English language and literature.
Knowledge Discovery and Analysis of ICT Customer Service Data Relying on Multi-frequency Mode Data Mining
Authors: Xu Zhongping , Zhang Tao , Zheng Rongrong , Li Xiangna , Li Dong
Published: October 2020

With the rapid development of social economy and technology, ICT often accumulates a large amount of customer service data. How to quickly extract information from it and discover some deep-seated internal laws hidden in business data. This article takes telecom operators as an example, relying on Multi-frequency mode data mining methods, a series of data mining technology application solutions are proposed, and data mining methods are discussed at the same time. Finally, a case is used to prove that data mining is an effective tool for improving the core competitiveness of the business.
Research on the Influence of New Generation of Information Technology on Contemporary Enterprise Logistics Management Information System
Authors: Zhang Zongguo , Liu Yue , Zhang Jiong , Song Xinhang
Published: October 2020

At present, information technology has been widely used in various fields, which has also led to the modernization of logistics information management in China. The new generation of information technology has penetrated into different professional fields, such as mechanical engineering, electronic engineering, communication engineering, image processing and so on. Through the information technology, enterprise logistics management has been moving towards the road of automation and intelligence, which is also the development trend of modern enterprises. At the same time, the new generation of information technology promotes the application of modern logistics management, which will help enterprises to move towards the process of logistics integration. First of all, this paper analyzes the important characteristics of modern logistics management. Then, this paper analyzes the information technology used in logistics management. Finally, some suggestions are put forward.
RETRACTED: Using Big Data Technology to Analyze the Development Direction of Internal Audit
Authors: Wang Zuhui
Published: October 2020

At present, the world is stepping into the era of big data. Big data is also changing our lives and influencing our way of life and work imperceptibly. Enterprises are also gradually influenced and changed in this era of big data. Internal audit is one of the key components of enterprise value chain management. In the era of big data, the past management concepts and methods have been unable to meet the needs of today’s era. Therefore, the reform of internal audit is imperative. Firstly, this article analyzes the development direction of auditing under the use of big data technology. Then, some questions were raised. Finally, some suggestions were made.
Big Data Technology in Museum Exhibition Digitization
Authors: Yu Yuebo
Published: October 2020

Today, museums have become a very important part of people’s lives. In the exhibition of cultural relics, the level of display technology is directly related to the development and service quality of museums. With the development of science and technology, the exhibition activities of museums are gradually developing towards intelligence, networking and digitization. Big data technology plays an important role in the digital construction of museums and is widely used in museum business. This paper studies the digital museum which uses digital technology to display cultural relics and the application of big data technology in digital museum. In order to better understand the application of big data technology in museum exhibitions and its help, this paper carried out a survey in a digital exhibition museum with big data technology, counted the flow of people in the museum before and after the application of big data technology, and formulated a questionnaire to investigate the feelings of museum staff and visitors on the application. The results show that big data technology can effectively improve the effect of Museum digital exhibition.
Research on Search Optimization Based on Oracle Database
Authors: Wu Hong , Cheng Caijun
Published: October 2020

With the continuous progress of human civilization, the whole society has accelerated the process of informatization. With the continuous enrichment of social life, a large number of information data are produced every day. In order to meet the information needs of financial, administrative and other fields, Oracle database technology is applied, and its efficient and accurate data query features give powerful help to all walks of life. However, with the increasing amount of information, the structure of Oracle database system becomes more complex and chaotic, and even has a serious impact on the stability of the database. In order to improve the stability of Oracle database and further improve the performance of data search, this paper studies the optimization of search based on Oracle database. This paper mainly studies the optimization scheme of the physical layer and software layer of Oracle system, and optimizes the SQL statement after adjusting the hardware structure of the system. Through the simulation, it is found that the stability of database and the response time and accuracy of search query can be improved by improving the structure of database server and optimizing SQL statements.
Construction of Port Logistics Service Platform Based on Big Data
Authors: Lv Dongqin
Published: October 2020

With the mature application of Internet of Things, big data and cloud computing technologies in various industries, smart ports based on new technologies have emerged. This article aims to build a port logistics service platform based on big data, with a view to using the big data platform to increase the development speed of the port logistics industry and realize the informatization and modernization of the development of logistics information. This article takes a typical B logistics company in Port A as an example. Through a survey and analysis of B logistics companies, it is concluded that the operating income of B logistics companies has always shown an upward trend. In 2019, the operating income reached 2.01 billion yuan. By analyzing the company’s methods to enhance market competitiveness, combined with the actual situation of Port A, build a port logistics service platform based on big data. The research in this paper helps to improve the development speed of the port logistics industry, comprehensively improve the competitiveness of the port and the service level of the port, and realize the informatization and modernization of the development of logistics information.
RETRACTED: Research on ERP Software Course Optimization Based on Big Data Technology
Authors: Lu Shengxu
Published: October 2020

With the development of the times, the progress of society, the continuous improvement of human science and technology and cultural level, big data technology is also rapid development with the pace of the times, now, in people’s daily production and life, big data technology has been widely used. In this increasingly competitive society, all walks of life must have a clear understanding of the current development tasks if they want to keep up with the development trend of the times. The development of ERP software can also be defined through the analysis of big data technology. ERP software course is mainly a course integrating theory and practice. The main purpose of ERP Course in Colleges and universities in China is to meet the new requirements of society for ERP talents in the new era, and to better adapt to the needs and management of enterprises for students. Therefore, this paper puts forward the method of combining big data technology with ERP software course optimization research, analyzes the current situation of ERP software development, and combines with the new requirements of the new era society on the theory and practice of college students, so as to guide the development of ERP software course in Colleges and universities in China. Through the analysis, it is found that the method proposed in this paper is of great significance to the optimization of ERP software course.
Development of Mechanical Equipment Fault Diagnosis System Based on Big Data Technology
Authors: Sun Gang , Zhang Yongming
Published: October 2020

With the development of the times, social progress, the level of human science and technology and the continuous development of modern industry, now, the development and research of mechanical equipment fault diagnosis system in China is facing unprecedented challenges. In today’s big data era, the combination of big data technology and the development and research of mechanical equipment fault diagnosis system in China has become the inevitable demand of the development of times. Therefore, in order to better make the development and research of mechanical equipment fault diagnosis system conform to the development trend of the times, this paper deeply studies the development and research status of mechanical equipment fault diagnosis system in recent years through Internet and big data technology, and analyzes the development and research potential of mechanical equipment fault diagnosis system in recent years, In the research, it is found that the development and research development of mechanical equipment fault diagnosis system in the new era tends to be more intelligent. Therefore, the development and research scheme of mechanical equipment fault diagnosis system suitable for the development requirements of the new era is formulated. It is found that the big data analysis method proposed in this paper plays a key role in the development and research of mechanical equipment fault diagnosis system, and the accuracy of mechanical equipment fault diagnosis reaches 92.5%.
Research on Digital Image Processing and Recognition Technology of Weeds in Maize Seedling Stage Based on Artificial Intelligence
Authors: Zhang Jiali
Published: October 2020

In today’s agricultural development, field weeds can be said to be a strong enemy of agricultural production. In the production of traditional agriculture, herbicides and other related pesticides are mainly used to ensure the normal production of crops, which will cost a lot of manpower, material resources, financial resources and a large number of herbicides, and also cause serious environmental pollution. The development prospect of modern agriculture is precision agriculture. How to realize the sustainable development of agriculture, reduce pollution and achieve the goal of precision weeding in the current era is the difficult problem of agricultural development. Therefore, in this paper, the corn seedling stage as a model, the artificial intelligence technology and other electronic technology are integrated into the agricultural management system, and the weeds in the corn seedling stage are identified by using the weed digital image processing and recognition technology, so as to accurately spray herbicides, so as to achieve the purpose of improving agricultural productivity. Through the analysis, it is found that the method proposed in this paper has important practical significance in the development of digital image processing and recognition technology of maize seedling Weeds Based on artificial intelligence technology.
Application of Big Data Technology in College Students’ Mental Health Education Innovation
Authors: Li WenBo
Published: October 2020

College Students’ mental health education is the abbreviation of psychological quality education and mental health education, and it is an important content of university education. In the context of quality education in the new era, there are some problems in the mental health education in Colleges and universities, such as the quality of teachers to be improved, the degree of attention is not enough and the teaching content is single. Therefore, this paper puts forward the application research of big data technology in college students’ mental health education innovation. In this paper, through field observation, we have a close contact with big data technology, and have an understanding of the technology based on practice. In this process, we emphasize the substantial significance of big data to mental health education. The details of work have changed from tedious to simple, and the work form has changed from single to rich. Through comparative analysis, it shows that the use of big data technology in the innovation work of College Students’ mental health education can solve more college students’ mental health problems with high quality, and provide technical support for the innovation of College Students’ mental health education.
Application of Machine Vision in the Inspection System of Steel Plate Surface Defects
Authors: Li Xing , Li Jiaqing
Published: October 2020

Although my country is a big country in steel production, the development of domestic steel plate surface defect detection technology is backward, and most small and medium-sized enterprises are still at the stage of manual visual inspection. This paper investigated by machine vision defects in the steel sheet surface detection system application, in order to improve the steel surface defect detection rate. In this paper, a set of steel plate surface defect detection system is proposed based on machine vision, the hardware modules and selection methods of the system are designed, and four surface defects of holes, scratches, zinc scars and cracks are verified, and good experimental results are obtained. Using three different speeds for detection, the detection rate of steel surface defects reached more than 90%, and the recognition rate reached more than 80%. Research shows that the system in this paper can detect defects on the surface of steel plates well.
RETRACTED: Application of Big Data Technology in Teaching Reform of Applied Economics in Colleges and Universities
Authors: Qian Yujun
Published: October 2020

With the development of the times and the progress of society, the scientific and cultural achievements of human beings are constantly accumulated, and a large number of science and technology are widely used in people’s daily production and life. Under the background of the current big data era, China’s economic system reform of all walks of life is in full swing, and the economic system and structure of all walks of life are gradually improving. The teaching reform of Applied Economics in Colleges and universities in China also needs to follow the trend of the times. Nowadays, the knowledge structure required by students majoring in Applied Economics in Colleges and universities has also changed greatly compared with the past. In order to cope with this change, this paper puts forward the method of integrating big data technology with the teaching reform of Applied Economics in Colleges and universities, and carries out the current situation of the teaching of Applied Economics in Colleges and universities In order to meet the new needs of applied economics students in the new era, this paper analyzes and combines the new requirements of the era of big data for students majoring in Applied Economics. Through long-term research, we can find that some analysis methods proposed in this paper have important practical significance for the application of big data technology in the teaching reform of Applied Economics in Colleges and universities.
Research on Financial Abnormal Transaction Model of Securities Market Based on Big Data Technology
Authors: Qian Yujun
Published: October 2020

Under the background of the current big data era, all walks of life in China are carrying out reform and innovation on their operating mechanism, so as to better cope with the challenges brought by the new era. The research of financial abnormal transaction model in China’s securities market also needs to follow the development trend of the times. Compared with the past, great changes have taken place in the research of financial abnormal transaction model in the securities market. In order to meet the challenges brought by the new era to the research of financial abnormal transaction model of securities market, this paper puts forward the application of big data technology to the financial abnormal transaction model of securities market This paper analyzes the research status of financial abnormal transaction model in China’s securities market, and formulates a new research scheme for financial abnormal transaction model of securities market in the era of big data, so as to meet the new needs of the research on financial abnormal transaction model of China’s securities market in the new era Please. Through long-term observation, it can be found that some of the analysis methods proposed in this paper have important practical significance for the research of abnormal trading model of securities market based on big data technology.
Application of Big Data Technology in Innovation of College Students’ Education Management
Authors: Ren Yaqiong
Published: October 2020

Innovation of College Students’ education management has always been an important part of university education management. Compared with the previous education management mode, now it cannot be better applied to the current new era, the management of college students is facing new challenges and opportunities, so we should actively seek innovation and breakthrough in the education management mode. Now is the era of Internet big data, teaching management work also conforms to the development of the times, actively learn big data technology, and introduce it into the management and innovation of college students. In view of the current situation of College Students’ education management in China, this paper studies the application of big data technology in the innovation of College Students’ education management. This paper compares the application of big data technology in different schools and different groups of users, discusses and analyzes the results, and puts forward the application and improvement strategies of big data technology in the innovation of College Students’ education management, which provides technical support for the development of College Students’ education management.
Research on Joint Optimization of Edge Computer Offload Strategy and Wireless Resource Allocation
Authors: Wang HuiNan , Liu JiaYi , Zhang JianMin
Published: October 2020

To solve the problem that users cannot use network resources efficiently, based on mobile edge computer network architecture,in a resource-constrained system, an energy-efficient offload strategy and a wireless resource joint optimization algorithm (EEJS) are proposed to achieve a balance between user diversity and MS diversity.
Big Data in Preschool Dance Multimedia Teaching Dance Posture Correction
Authors: Wang Li Li
Published: October 2020

With the explosive growth of data and the enhancement of data openness, big data is quietly changing our daily work and life. This article mainly studies the application of big data in preschool dance multimedia teaching dance posture correction. Using a small sample control method, the body characteristics of the research subject were measured before the experiment and used as the index before the measurement; after 8 weeks of learning, the measurement was performed again and used as the index after the measurement. Then, the principle of feature plane similarity matching is used to analyze the motion posture. The experiment found that after 8 weeks of multimedia correction training, mild pelvic backwards accounted for 75% and moderate 22.2%. The results show that big data plays a technical support role in the correction of dance posture in preschool dance multimedia teaching.
Design and Research on Digital Business Platform of Enterprise Project Management System Based on Information Technology
Authors: Zhe Wang , Shu LiBao , Shen Chen , Da ZhaoHong
Published: October 2020

Although the traditional digital business platform of enterprise project management system has a complete set of design and research scheme, it cannot meet the new requirements of the new era for enterprise level project management system digital business platform. Therefore, in order to improve the design and research level of enterprise project management system digital business platform, this paper puts forward the method of integrating information technology and enterprise level project management system digital business platform design and research. Based on the analysis of the design and research status of enterprise project management system digital business platform, combined with the current new requirements for enterprise level project management system digital business platform, a set of design and research scheme that is most suitable for enterprise level project management system digital business platform is formulated. Through the analysis and research, it is found that the method proposed in this paper has important practical significance for the design and research of enterprise project management system digital business platform.
Current Situation and Development Trend of Electrical Automation Engineering Control System
Authors: Xie Guokun
Published: October 2020

Nowadays, with the rapid development of science and technology, more and more factories and enterprises are also growing. In order to obtain more profits, these factories and enterprises need to reduce their production costs, which make the improvement and development of automatic control technology on the agenda. The automatic control system can reduce the production cost and system operation cost to a great extent. This kind of automatic control system not only promotes the progress of social economy, but also reduces the possibility of accidents, which greatly guarantees people’s life safety. Therefore, this paper analyzes and discusses the current situation and future development trend of electrical automation engineering control system. Firstly, the composition of electrical automation engineering control system is introduced and explained. Then, this paper analyzes which fields this control system has been applied in our country and the specific benefits it brings. Finally, it forecasts its future development and gives relevant suggestions. The results show that the workers have a positive attitude towards the electrical automation engineering control system, and the electrical automation engineering control system can reduce the cost of the factory and improve the income.
Evaluation Model of Soccer Training Technology Based on Artificial Intelligence
Authors: Yang Yongzhi
Published: October 2020

Modern football competition has the characteristics of fierce confrontation, long duration, intensity of the game and large amount of exercise, and has high technical and tactical requirements. Therefore, the scientific and technical ability evaluation system plays a decisive role in football. One of the key factors for the real development of Chinese football is how to train and select young football talents scientifically. In order to train football talents better, this paper combines with artificial intelligence technology to study the evaluation model of football training technology. According to the characteristics and laws of football, this paper analyzes the index composition of football competitive ability. Combined with the traditional clustering data model, a support vector machine classification algorithm is proposed to construct the evaluation model of football training technology. Finally, this paper takes a professional team and a semi-professional team as an example and adds soccer evaluation model into their daily training. The results show that the evaluation efficiency is 24.12% higher than that of traditional artificial team, which proves the feasibility of this model.
RETRACTED: The Development Space of University Art Design Education in the Era of Big Data
Authors: YanYu Xiao
Published: October 2020

After the arrival of the era of big data, colleges and universities of art design are also facing new challenges and opportunities. How to stand out in the fierce competition has become an important issue facing art design education. The purpose of this article is to explore the development space of art design education in colleges and universities in order to deliver a steady stream of fresh talents for national construction, market operation, and enterprise development. This article analyzes the problems and blind spots in art education by discussing the status quo of art design education in some universities in Province A. It is concluded that 73.08% of college art design education lacks standardization; 65.38% of colleges and universities emphasize on mastering technology and cultivating creativity. Targeted development strategies are provided to provide a wider space for the education of art students in order to develop our art education cause construction and improve the art talent training environment.
Research on the Technology of Intelligent Basketball Shooting Training Vehicle
Authors: Haidong Liu , Nana Li
Published: October 2020

The basketball training car only has the function of storing basketballs and training equipment. During training, the basketball is taken out of the training car and scattered on the ground. The athlete needs to bend down to pick up the ball for shooting training, which is not conducive to the continuity of shooting action training, and affects the intensity of shooting training and the shooting accuracy improvement. It is necessary to manually place the basketball on the swing seat, it can not be automatically served, and the function is low. Therefore, this article conducts technical research on the basketball shooting training vehicle, and sets up a telescopic motor to drive the upper tee to move up and down and other technical studies, in order to intelligently upgrade the existing shooting training vehicle, which is conducive to the continuity of shooting action training and the intensity of shooting training, can improve the fixation of the shooting hand and improve the shooting percentage.
A Brief Analysis of The Defects and Countermeasures of EVM in Project Management
Authors: Zhanli LI
Published: October 2020

Through calculation and induction, demonstration by example, comparative analysis and other methods, this paper draws the following conclusion: the control of project progress and cost by EVM should be evaluated with a single project as the goal, and on the premise of the timely accuracy of phase cost statistics; In the evaluation of comprehensive project progress, it should be carried out in different levels, with the evaluation of key line work as the main and non-key line work as the auxiliary; The influence of safety, quality, environment and other factors on the cost should be fully considered when evaluating the project cost.
Research on Cultural and Creative Product Design System Based on 3DP Technology
Authors: Zhao Chongli
Published: October 2020

With the development of the times, the progress of society, the continuous improvement of human science and technology and cultural level, more and more high-tech science and technology are constantly applied in daily life, 3DP technology as a member of many high-tech is gradually accepted by people. In this era of rapid development, the research and development of cultural and creative product design system cannot do without the help of these high-tech technologies. In order to better meet the requirements of the new era for cultural and creative product design system, this paper proposes a method to integrate 3DP technology with the research of cultural and creative product design system. Based on the analysis of the current situation of the research on the design system of cultural and creative products, the rapid prototyping technology of 3DP technology is fully used to help the designers to carry out innovative research on the design system of cultural and creative products better combined with the current new media, so as to formulate a set of development scheme of the most suitable cultural and creative product design system in the new era. It is found that the method proposed in this paper is of great significance to promote the research and development of cultural and creative product design system.
Computer Network Flow Recognition Method Based on Improved Support Vector Machine
Authors: Xiao Shoubai
Published: October 2020

Computer network traffic recognition based on improved support vector machine is a defect of current mainstream network traffic algorithm, designed a network traffic prediction algorithm based on improved support vector machine. This paper mainly introduces the computer network traffic identification method based on improved support vector machine. This article mainly analyzes the related content of network traffic prediction, including the linear and nonlinear characteristics of network traffic, the theoretical basis of network traffic prediction and the method of obtaining traffic data. This paper studies support vector machine theory and least square support vector machine, and proposes an improved algorithm for least square support vector machine. The purpose of this article is to design a network traffic identification and analysis system. On the one hand, by monitoring the network traffic, we will be able to grasp the operation of the entire network in real time;on the other hand, the system statistically analyzes the results of different stages, We have a more comprehensive understanding of the operational efficiency of network resources, network performance and the rationality of network configuration. The experimental results in this paper show that the recognition efficiency of traffic based on the improved support vector machine method has been significantly improved. Under this method, the security problem of traffic has been increased by 14%, and the efficiency of traffic has been increased by 24%. The improved support vector machine will be the future computer network The development trend of traffic identification direction.
Application of big data technology in smart Tourism
Authors: Chen Nan
Published: October 2020

With the improvement of information technology, big data thinking has penetrated into all aspects of our social life and business fields. With the development of economy, tourism has become the pillar industry of the national economy. In order to speed up the development of tourism industry, many provinces and regions in China also follow the pace of big data era and make full use of big data technology to develop smart tourism.In today’s information age, big data technology has important application value and significance for the development of smart tourism. Based on this, this study aims to study the application of big data technology in smart tourism. This paper mainly uses data mining technology and Bayesian network model analysis technology to analyze the big data of travel ticket data of smart tourism as an example to study the application of big data technology in smart tourism. It is found that the Bayesian network model can be used to predict the future trend of air ticket price changes by using the data of a certain period of time in the past, and the prediction accuracy rate is more than 80%, which is more accurate than the traditional neural network model data analysis technology. In addition, big data technologies such as data mining have been widely used in smart tourism, which greatly improves the intelligent degree of tourism industry, and has important significance for the development of smart tourism.
Design and Research of Private Book Sharing System Based on Sharing Economy Model
Authors: Luo Cheng , Chen Ying
Published: October 2020

Based on the current situation, from the perspective of the sharing economy, it adds a lot of convenience to daily life. When accessing information or resources, the content that people want can be obtained quickly and easily through the Internet. At present, it has a great impact on the traditional private book system. The purpose of this paper is to study the design and research of the private library sharing system under the sharing economy in the current information age. The research method adopted in this paper is to first build a shared cloud platform, and build a private book platform by using RFID; CAN bus technology; network communication protocol and other research methods. Finally, the literature research method is used to understand the domestic plan for the construction of a private book function sharing system and the use of network surveys to analyze the resource utilization rate of domestic private libraries, which provides powerful data for the modern shared economy model of private book sharing systems. stand by. Experimental research results show that by creating a shared platform, more idle resources can be used more effectively to meet people’s more diverse needs. In addition, the establishment of a shared platform helps to establish and improve the supervision and management mechanism.
Grade Prediction Model Based on DeepCycle Neural Network Classification Algorithm
Authors: Mao Yuanfu , Sun Xiaoying
Published: October 2020

There are many factors affecting students’ grades, which make the prediction of students’ grades present high dimensional and nonlinear characteristics. Therefore, the traditional method has a large error in the prediction results, which is difficult to meet the practical needs. With the rapid development of artificial neural network (Ann), the deep cycle neural network algorithm based on Ann provides a new approach for student achievement prediction. In order to further improve the accuracy of student achievement prediction, this paper proposes a performance prediction model based on deep cycle neural network algorithm. First, principal component analysis is used for data dimensionality reduction processing of the established student writing evaluation system, and the first five principal components are extracted. Then, these principal components are taken as the input of the neural network to construct a three-layer neural network prediction model. The experimental results show that, compared with the single RBF neural network and BP neural network, the prediction model under deep cycle neural network is simple in structure, fast in convergence and 21.6% higher in prediction accuracy, which verifies the effectiveness of the model proposed in this paper.
Sentiment Mining Analysis of Fuzzy Evaluation Comment Data Based on the Structure of Similar Deep Learning
Authors: jiang Haifu
Published: October 2020

With the rapid development of the Internet, it is increasingly necessary to mine and analyze the sentiment of comment data. The purpose of this paper is to use the deep learning feature construction method to develop an effective mechanism to solve the learning problem under the imbalanced distribution of sentiment analysis of comment data, build an efficient model that can classify comments, and help the government correctly guide the people’s sentimental inclinations. This paper adopts the method of combining keyword extraction and incremental discretization through this model, extracts keywords from the comment corpus, sets up a fuzzy matrix according to the weight of the keywords, and uses incremental K-in the discretization of the fuzzy matrix. The means algorithm extracts some additional structural features as auxiliary information to increase the prediction accuracy of the network. Through experiments, it is found that the comprehensive evaluation results obtained by this method on the comment data set are only 0.02% different from the comprehensive scores of other papers, indicating that the results obtained by the model are extremely accurate. Moreover, the model is adjusted with hyperparameters, and it is compared with the text sentiment analysis model proposed in some articles in recent years. Experiments show that the review data sentiment analysis model constructed with deep learning features has a good classification effect and a wide range of applicability.
RETRACTED: Effective Ways to Cultivate the Autonomous Learning Ability of Minority College Students under the Network Big Data Environment
Authors: Sun Xiaoying , Li Liejun , Wu Xiufang
Published: October 2020

The era of big data provides convenience for college students to study independently. College teachers can make use of the relevant characteristics of big data to improve teaching methods, enrich teaching content and guide the independent learning of college students with scientific teaching evaluation, and explore the cultivation mode of college students’ independent learning ability. Big data in order to better research network environment of ethnic minorities is effective way to cultivate college students’ autonomous learning ability, this study in a university of ethnic minority college students as the research object, through a combination of big data technology to improve the way of the network teaching, through questionnaire as tools, supplemented by semistructured interview, investigation of ethnic minority college students’ autonomous learning ability, from the autonomous learning ability, independent learning behavior, autonomous learning psychology discusses three dimensions of ethnic minority college students’ autonomous learning situation, and discusses how to develop ethnic minority college students’ autonomous learning ability, according to the results, After combining big data teaching, the attendance rate increased by 21.7%.