bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Community Discovery Algorithm for Complex Networks
Authors: Lv Lintao , Wu Jialin , Lv Hui 
Published: June 2020

Abstract
Community structure is an important feature of complex networks. These community structures have the fractal characteristics, that is, there is a self similarity of statistical sense between the complex networks and their local. There have been more and more recent researches on communities’ discovery in complex network. However, most existing approaches require the complete information of entire network, which is impractical for some networks, e.g. the dynamical network and the network that is too large to get the whole information. Therefore, the study of community discovery in complex networks has rather important theoretical and practical value. Through the analysis and study of the complex network evolution models with renormalization and the community change of the complex network evolution, using the tool of adjusting scales as the renormalization process, a multi-scale network community detection algorithm based on fractal feature evolution was proposed. The purpose is to solve community discovery problems in dynamic complex networks, and the effectiveness of the proposed method is verified by real data sets. By comparing result of this paper with the previous methods on some real world networks, and experimental results verify the feasibility and accuracy.
RETRACTED: Design of Travel Itinerary Planning System Based on Artificial Intelligence
Authors: Chen Peilin 
Published: June 2020

Abstract
The existing travel information on the Internet is cluttered, repetitive, and singular. It cannot provide tourists with accurate travel information and help tourists plan their trips rationally. To this end, this article establishes a travel planning system based on artificial intelligence. This article conducted a multi-threaded performance test for the route search submodule, and tested the tendency of the vertical search crawler to crawl the webpage as the number of multi-threads increased. In addition, this article conducted a stress test to test the system’s increase in the number of concurrent users. System performance changes. The test results show that the system function basically meets the needs of users, and has good stability and efficiency.
Countermeasures of Internet Rumor Management Based on Artificial Intelligence Technology
Authors: Liu Sitong 
Published: June 2020

Abstract
With the development of The Times, the development of artificial intelligence technology with each passing day, its research and application has been widely penetrated into human daily life and scientific field, to human politics, economy, ecology, culture and other aspects of the abyss. Therefore, people must be alert to the risk of spreading online rumors brought by artificial intelligence technology. The purpose of this paper is to study the countermeasures of Internet rumor propagation under the background of artificial intelligence. This article from the perspective of risk early warning, to promote the sound development of artificial intelligence as the background, combined with the related theory foundation, in order to effectively cope with Internet rumors spread for specific research object, analyzes the present situation of Internet rumors spread, and from the technical level, national level and system level three Angle analysis how to effectively deal with Internet rumors spread, develop effectively cope with the spread of Internet rumors solutions and Suggestions, in order to in a certain extent, reduce the risk of Internet rumors transmission losses to individuals or countries. The experimental results show that the effective response to network rumor propagation can alleviate the loss caused by its risk, promote the good development of artificial intelligence technology, and build a safe and friendly network communication and information dissemination environment.
Construction of Intelligent Irrigation System for Kiwifruit Planting Base Based on PLC
Authors: Zhao Delong , Dong Wanjun , Wu Yanjun , Dong Bo , Li Zhenhai 
Published: June 2020

Abstract
With the continuous development of the intelligent water conservancy industry, it is urgently to “make up the shortcomings and strengthen the weaknesses” for the traditional water conservancy project construction. This paper takes the kiwifruit planting base in Heilin Town, Ganyu District, Lianyungang City as the control object, and uses Schneider TM221 integrated PLC module as a controller to build an intelligent irrigation system. The system uses sensors to collect data such as irrigation flow, soil moisture, meteorological information, the water level of the reservoir and water quality, and the collected data is monitored by the designed upper computer monitoring software. So that users can switch valves remotely. This system meets users’ needs for monitoring during the irrigation process, irrigation quality analysis and improvement of irrigation processes, so as to achieve automatic operation of irrigation, analysis and other processes, and achieve a double harvest of social and economic benefits.
Analysis on E-commerce Course Reform under the Background of Artificial Intelligence
Authors: Ji Qiaofen 
Published: June 2020

Abstract
With the popularity of the Internet, E-commerce has penetrated into all areas of society. Big Data is the product of the development of the Internet to a certain stage. Through the innovative application of various industries, Big Data creates a lot of value for human beings. The breakthrough and wide application of Big Data technology have driven the rapid development of Artificial Intelligence. The application of Artificial Intelligence in education has become a hot topic. The article introduces the development stage of Artificial Intelligence, analyzes the problems existing in E-commerce courses under the background of Artificial Intelligence, and discusses the reform model of E-commerce courses under the background of Artificial Intelligence.
Algorithm for Probability Calculation of B- Spline Curve
Authors: Qiu Jiaqi , Xie Yi 
Published: June 2020

Abstract
This paper presents a probability calculation method for B-spline curve, which is made up of coordinate transformation unit, normalization unit, binarization unit, probability calculation unit, data decoding unit. This thesis offers the general structure and algorithm principle of generating B-spline curve, and draws the B-spline curve on the simulation hardware of VC++6.0 software. Experimental results show that compared with the traditional method of directly calculating B-spline, Paper’s method has lower algorithm complexity and faster curve generation, which is more beneficial to the realization of high-order B-spline curve.
An Power Grid Things of Internet Fog Resource Scheduling Algorithm
Authors: Zhang Dao , Liu Yuran , Lu Siyu 
Published: June 2020

Abstract
In the wake of developments in computer and internet, power Internet of things technology is becoming more and more mature. As an extension of cloud computing, fog computing provides computing, network, storage and network edge communication for power grid Internet of things. Due to the limitation of its own storage and computing power and the increasing business demand, it is urgent to improve the efficient and feasible resource scheduling scheme. This paper takes the fog resource scheduling in power grid as starting point, proposes a fog resource scheduling algorithm based on time series optimization for the Internet of things in the power grid, and evaluates the proposed algorithm. The results show that the algorithm has strong application value for electricity the development of Internet of things provides the possibility.
Time Series Prediction of Wireless Network Traffic Flow Based on Wavelet Analysis and BP Neural Network
Authors: Li Yanchi , Huang Jin , Chen Haojie 
Published: June 2020

Abstract
Building an appropriate model is the key issue of network traffic flow prediction [1]. This paper presents a hybrid model based on the combination of wavelet denoising and BP neural network. First, wavelet transform is used to normalize and denoise the collected raw traffic flow. The index for estimating prediction accuracy is Mean Absolute Error (MAE). The original data is supported by a large telecommunications company in China. At present, research has made corresponding progress and the prediction accuracy of this combined model has reached more than 80%.
Research on International Trade and China’s Technological Progress Based on Trade Breakdown Data
Authors: Sun Wei 
Published: June 2020

Abstract
In the 21st century, the rapid development of science and technology will improve the productivity of the industry. Therefore, technological progress will improve economic growth. In the process of economic globalization, the role of technological progress will continue to increase. Therefore, we must promote technological progress, which will achieve a virtuous circle between technological progress and the growth of international trade. By improving the technological content and trade competitiveness of export products, we can achieve steady development of international trade. Through trade decomposition data, we use standardized supply side system to measure the direction of technological progress, which is the dynamic evolution of technological progress in the future. Through analysis, we can get the following results. International trade is the main factor for China’s technological progress to favor capital, which is the fundamental driving force for technological progress.
Numerical Simulation of Fractured Reservoir with Full Coupling Matrix Finite Element Method
Authors: Qi Jing 
Published: June 2020

Abstract
Fractured reservoir is an important part of China’s oil and gas resources, which is a phenomenon that will be encountered in the exploitation of most oil and gas resources. However, there are many difficulties in the exploitation of fractured reservoirs, such as internal complexity, basic assumptions of models, fracture identification technology, computer hardware and so on. Therefore, we must consider the full coupling matrix finite element analysis, which will overcome the limitations of the traditional dual medium model and the discrete fracture network model. Through the full coupled matrix finite element analysis, we can establish a new numerical simulation of fractured reservoir. First, this paper analyzes the basic types of fractured reservoirs. Then, this paper analyzes the full coupling matrix finite element method.
Communication Characteristics of Public Service Advertisement based on Big Data
Authors: Yang Xin 
Published: June 2020

Abstract
As we all know, the business image and leading brand of enterprises determine the main position of relevant enterprises and their products in the hearts of consumers. This concept is usually shaped by the comprehensive strength of enterprises and the design and innovation of advertising strategies. In the design of plane advertisement in our daily life, newspaper advertisement and magazine advertisement are paid more and more attention. As a result, they have a large circulation and high credibility. This also means that they have a strong brand building capacity. In addition, the combination of two-dimensional advertising and media technology can greatly enhance the shaping power of daily advertising.
Reconstruction of Human Resource Management Under Big Data and Artificial Intelligence
Authors: Zhu WeiBin 
Published: June 2020

Abstract
In the big data and artificial intelligence (AI) era, enterprise human resource management can be carried out based on the management innovation of big data and AI management innovation to adapt to the new situations such as the increased diversification of labor relations, the decentralization and flattening of organizational management, and the individualized values of the new generation of employees, etc. Based on the maturity model of human resource management, the data demand of enterprise human resource management will present a development trend from individual, phenomenal, accurate and causal judgment to collective, regular, relevant and perceptual prediction, along with the transformation of human resource concept and management mindset. Compared with the “Small data”, big data and AI will drive the innovation of human resource management in enterprises from three aspects as follows: implementing the tagging of human resources to form “Digital portrait” of talents at the basic level, building the decision and feedback system of human resources at the implementation level, and facilitating the transformation of the management mindset from management and control to value empowerment at the strategic level.
Effect of Internet Language on Chinese Language Teaching Considering Register Theoretical Analysis
Authors: Zhu Shan 
Published: June 2020

Abstract
Register theory is one of the essential theories in Halliday’s systemic functional linguistics (SFL). Specifically, it includes the linguistic field, tenor, and mode. In this paper, the characteristics of computer-mediated communication (CMC) and Internet language are analyzed from the three aspects to identify and verify the practicality and feasibility of the register theory in the new communication mode of Chinese language teaching.
Optimal Design of Prefabricated Building Based on BIM
Authors: Jiang SaiBai , Sun Chao 
Published: June 2020

Abstract
Currently, China is in the rapid development stage, and the speed of urbanization is getting increasingly fast. The application of prefabricated construction in the modern construction industry is more and more common. The BIM technology emerges as the times require, which is developed by some technicians to improve the work quality and efficiency at the construction site. With the acceleration of urban construction, the technical means of construction are also improving day by day, and the application of BIM is more and more common. Attributing to its features, it appears more and more frequently in the prefabricated construction. This advanced technology is highly practical, contributes greatly to the construction of modern buildings, and plays a significant role. It has dramatically improved the technical level of modern construction and vigorously driven the rapid development of the construction industry. It can accelerate the construction speed and shorten the construction period considerably. Multiple advantages make BIM technology the favorite of the modern construction industry. Certainly, this technology is still in the development stage, and there is a long way to go. Constant research and upgrade by developers are required to make it more outstanding.
Analysis of Mental Health Status of Rural Left-behind Children in China Based on Meta-analysis Method
Authors: Zhang LiWen 
Published: June 2020

Abstract
Computer retrieval was performed in the CNKI, Chongqing VIP Chinese Science and Technology Periodicals Full-text Database, Wanfang Sci-tech Periodicals, and Chinese Biomedical Database, with the retrieval time limit from 1984 to 2017. The statistical results suggest that in the eight dimensions in the MHT scale (learning anxiety, social anxiety, loneliness, physical symptoms, phobia, impulse, allergies, and intropunitive reactivity. Except for the last two dimensions, the scores of the other six dimensions of the left-behind group were higher than those of the non-left-behind group (P = 0.0001 ~ 0.03). Hence, targeted education on mental health of children left behind in rural areas.
Evaluation of Innovation and Entrepreneurship in Enterprise Talents Based on Structural Equation Model Analysis
Authors: Hou GuiWen 
Published: June 2020

Abstract
Enterprises are essential driving forces of social and economic growth. In recent years, China has vigorously encouraged entrepreneurship nationwide, and the number of enterprises has proliferated. However, enterprises face multiple problems in the development process, such as the lack of core technologies and the internal growth factors of sustainable business. To address these problems, we analyzed the influencing factors of enterprise talent innovation in this paper. The results show that the strength, scale, and stability of the network relationship between enterprises and seven entities have a significant positive effect on improving the innovation capacity of enterprises and that the improved innovation capacity can bring innovation performance to enterprises to some extent.
High-Quality Development of the Tobacco Business in Guizhou Province Based on Data Information
Authors: Deng Zuchang , Liu Jun 
Published: June 2020

Abstract
Currently, “high-quality development” has become one of the keywords in the National People’s Congress and the Chinese Political Consultative Conference (NPC & CPPCC) this year. A new journey of high-quality growth of the tobacco industry begins in the new era. Faced with the new situation and new tasks, how to evaluate the quality, economic operation and future growth potential of local and municipal tobacco industry scientifically and reasonably, and how to identify the best practice through benchmarking to enhance the corporate internal management is a difficult issue to be addressed at present. The evaluation system for the high-quality development of the tobacco business in Guizhou Province is used as the model to conduct in-depth research in this paper.
Influence of Digital Media Technology on Animation Design
Authors: Liu Geng 
Published: June 2020

Abstract
With the rapid development of modern computer technology, information communication, etc., fruitful achievements have also been made in digital media technology, which has gradually penetrated all walks of life. In the related design and production process of animation TV works, the integration of digital media technology allows richer contents and forms of animation and brings more real visual enjoyment to the audience. Digital media technology has driven the design and production of animated TV works. In this paper, mainly the related development of digital media technology is expounded and analyzed. Its application in animated TV design is studied for reference only.
Research on the Clarinet Music Based on Big Data
Authors: He PeiLong 
Published: June 2020

Abstract
The clarinet was evaluated by the famous composer Mozart as the instrument closest to the human voice. It is more active in the expression of music and occupies a certain position in the performance of the symphony. With the development of the social economy and application of information technology, big data technology is gradually integrated into every aspect of life. It will change people’s behaviour mode, thinking method and value concept, and it is bound to affect the inheritance, innovation and development of world music culture in the future. Starting from the background of the era of big data, this paper briefly introduces the meaning of big data and clarinet performance characteristics, and discusses the application of big data technology in music research in detail, to provide a reference for future music research.
Construction of Smart Logistics Model Based on Big Data
Authors: Guo Xin 
Published: June 2020

Abstract
The rapid iteration of e-commerce has put forward higher requirements for the reform of data-based information in the logistics and transportation industry. The iteration of intelligent logistics can be based on big data and other related high-tech to effectively improve the efficiency of logistics and transportation, and improve customer satisfaction. This paper first analyses the intelligent logistics business system, and then studies the construction of key links of intelligent logistics mode management based on big data. Finally, it analyses the reconstruction of intelligent logistics model based on big data.
Meteorological Application Based on Big Data Streaming Computation Method
Authors: Wang Xu , Cheng HongTao , Liu XiaoYan , Wang XiaoJie 
Published: June 2020

Abstract
Big data analysis in the form of streaming computation has always been a problem to be solved at present, with relatively few research results and practical experience. The random forest method is currently the most extensively used classification algorithm. However, in the application scenario of streaming computation, real-time, volatility, and disorder features presented by data will lead to a gradual reduction in the accuracy of the algorithm. In this paper, the characteristics of the random forest algorithm are analyzed, and the idea of random forest pruning based on the accuracy of the decision tree is proposed. Meanwhile, to adapt to the changes in meteorological data, the concept of accuracy interval is combined to propose a method for the generation, verification, and supplementation of a new decision tree. Finally, a random forest that can be constantly updated with data is established to meet the requirements of the streaming big data environment for the algorithm. Actual meteorological data are used to verify the feasibility of the improved method. The results show that the new method has a higher classification accuracy in the real streaming big data scenario.
Application of Modern Electronic Information Technology Relying on Time Series Data Algorithms to Advance Technological Progress in Traditional Industries
Authors: Wang BoLun 
Published: June 2020

Abstract
The development of the field of electronic information technology is constantly deepening, which is of great significance to the upgrading of traditional industries and the leap forward in the level of electronic information technology. From small individuals to large countries, information security and technology levels depend on in-depth research and development in the field of electronic information technology. Keeping pace with the times and promoting their further development is the key to promoting the progress of human civilization. This paper uses the time series model to estimate it and provide ideas for its further development.
Application Analysis of Data Mining Technology in Oil Painting Course Resource Management
Authors: Zhou Ye 
Published: June 2020

Abstract
This paper firstly puts forward some obvious disadvantages of traditional oil painting curriculum management in the course of selecting oil painting for several decades. After detailing and comparing the types of data mining technology, this paper puts forward two proven advantages of applying data mining technology in oil painting course management, one is to customize the course according to the students’ own characteristics, the other is to promote the overall development of students’ artistic literacy.
Research on the Relationship between Artificial Intelligence Technology and Computer Data Processing
Authors: Sun FuCai 
Published: June 2020

Abstract
In the information age, the application penetration of artificial intelligence in the field of computer data processing has become quite common. The fuzzy inference system and the neural network system in its composition system have good data analysis and reasoning capabilities, which has improved the quality of products produced. The enhanced function connection is one of the most important ways of artificial intelligence spatial expression. It achieves high-speed data operation under the premise of ensuring accuracy. The formed fuzzy inference system expresses information and data through rigorous and logical language. This article comprehensively analyzes and discusses the relationship between them.
Financial Performance Evaluation of Colleges and Universities Based on DEA Model and Balanced Scorecard Method
Authors: Han Juan 
Published: June 2020

Abstract
In this paper, a DEA model is applied to the financial performance evaluation of colleges and universities. Six colleges in Guangxi are taken as the research objects, and their financial performances are ranked to determine the college with the best financial performance in the region. The college is used as the benchmarking unit to propose targeted management suggestions for the financial performance insufficiency of other colleges in Guangxi.