bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Construction of Environmental Art Design Thinking Based on Hand Drawing and Computer Drawing
Authors: Liu Zihao 
Published: July 2020

Abstract
With the continuous development and innovation of human artistic thinking, they have higher requirements for their own living environment. In this case, environmental art design has become a very important design subject. As a way of expression of environmental art design, effect drawing has been paid more and more attention. Environmental art design should be established on the basis of natural environment to determine its design commonality. It can not only protect people’s physical and mental health and improve people’s work efficiency, but also strengthen the artistry and practicability of the natural environment. Hand drawing and computer drawing have their own advantages and disadvantages. The combination of the two can make the environmental art thinking get the best expression.
Monitoring Technology of Power System Operation State Based on Stereo Sensing
Authors: Chen Gu , Yu Yin 
Published: July 2020

Abstract
In recent years, the development of computer technology, automation control technology and communication technology has provided new hardware and software support for the implementation of distribution network operation monitoring. In the daily production of the oil field, the reliability and stability of the power supply are the key links to ensure the completion of the production tasks of the oil field. This paper studies the problem of scene depth reconstruction in panoramic technology. On this basis, the panoramic depth map is combined with the panoramic image, and the three-dimensional panoramic characteristics are reconstructed from the visual and environmental aspects of the stereo perception model suitable for its performance. This paper develops an oilfield distribution network operation monitoring system based on stereo perception, and develops corresponding system management software. This paper first determines the mathematical model of the distribution network line loss calculation, and introduces the principle of GPRS technology to formulate a specific network plan for distribution network operation monitoring. Finally, based on the terminal data collection method of CDD-IDT / GPRS, the development of terminal system management software is finally completed. Field test results show that the stereoscopic perception-based oil field distribution network operation monitoring system developed in this paper has high accuracy of accident prediction, strong real-time performance, stable and reliable operation, and the average transmission time of each data in the stereoscopic perception based monitoring network transmission It is 1.88 seconds, which can be displayed immediately after pre-loading.
Analysis of Agricultural Product Marketing Channels Based on Diversity under the Background of Big Data
Authors: Jiang Leilei , Sun Wenming 
Published: July 2020

Abstract
The emergence of big data technology has brought about a breakthrough change in agricultural product marketing concepts. Through analysis of agricultural product marketing channels, it has been found that the traditional single agricultural product marketing channel has hindered the development of the agricultural product market, and there are still intermediate links in the diverse marketing channels. There are many problems, such as lack of brand awareness. Therefore, the Internet, big data technology and artificial intelligence technology are needed to promote the diversified development of agricultural product marketing subjects, agricultural product wholesale markets, agricultural product transaction methods, agricultural product logistics and agricultural product brand building.
Research on Information Resource Construction of Aerobics Courses in Universities under the Background of Educational Big Data
Authors: Liu Li 
Published: July 2020

Abstract
Aerobics course among universities is one of the most popular physical education curriculums. Under the circumstance of the swift progress of educational big data, the building of network informationalization resource in the course of aerobics teaching in universities is still scarce, which currently couldn’t satisfy the demands of students’ learning. This paper proposed how big data could be employed to construct the web informationalization resources of aerobics, which provided theoretical reference for further optimizing the curriculum reform of aerobics in universities, making classroom teaching more modern, adapting it to the times, and promoting the enthusiasms and initiatives of contemporary universities students’ learning.
Input-output Analysis of Agricultural Economic Benefits Based on Big Data and Artificial Intelligence
Authors: Zhang Li , Wang Shanshan 
Published: July 2020

AbstractAgricultural modernization is not only reflected in the agricultural technology, production equipment and development model, the more important embodiment is the development of the concept of modernization. To make scientific, rational and practical analysis and guidance on the whole process of agricultural production economy by means of information is helpful to the vigorous development of agriculture and related industries. The purpose of this paper is to provide better Suggestions and technical means for the rational planning of agricultural industry economy by analyzing the input and output of agricultural industry economic benefits based on big data and artificial intelligence. In this paper, the integrated use of big data and the method of artificial intelligence technology related theory, proposed from the perspective of scientific data organization architecture framework model for the evaluation of agricultural economic data, build data acquisition process model, put forward the multi-source, scattered repetition, flooded agricultural economic data resources for centralized framework for assessing analysis and solution. Finally, try in big data environment, respectively, from the dimension of the influence factors of agricultural economic data lifecycle dimension, service dimension three different dimensions explore implementation method, the results showed that the industrial economy in the process of running efficiency of the indicators were higher than 0.76, for the big data in the application of the agricultural economy provides a good example.
Data Sharing Model of Internet of Things Based on Blockchain
Authors: Liang Nana 
Published: July 2020

Abstract
Blockchain technology and Internet of Things technology are two new technologies formed in the current transmission of information technology. In the implementation of its technical control, it can scientifically control the information sharing work and realize the artificial adjustment of the transmission control of the Internet of Things technology. In this paper, research on the Internet of Things data sharing model based on block chain with a view to provide guidance to the security of Things data sharing technology under the block chain. In this paper, Hyperledger Fabric block chain platform-based platform, proposed a block-based chain of IOT data sharing model, security and data privacy is an enhancement, obtained by the performance of the test model. Throughput is maximized when the write transaction sending frequency is 100 TPS and the query transaction sending frequency is 250 TPS. The maximum write throughput is 60 TPS, which is better than Bitcoin and Ethereum on the public chain, which proves the feasibility of the model implementation. This model can achieve storage and sharing without the help of a third-party centralized organization, and directly establish trust between participants, which can ensure the safe sharing of data.
Research on Error Monitoring Model of CNC Machine Tool Based on Artificial Intelligence
Authors: Jiang Weiliang 
Published: July 2020

Abstract
In recent years, according to the rapid development and increasing application of artificial intelligence technology, the mechanical structure of modern CNC machine tools is becoming more and more complicated, and the automation level of CNC machine tools is constantly increasing. Research on a set of artificial intelligence-based CNC machine tool error monitoring model is of great significance to China’s industrial development. This article is a more in-depth and systematic study of the health monitoring system of CNC machine tools, especially high-end (such as five-axis linkage) CNC machine tools, multi-source fusion technology that supports high-reliability maintenance decisions, and key components of CNC machine tools based on artificial intelligence Fault monitoring and early warning. Based on the artificial intelligence SOM neural network learning algorithm, this paper designs a rolling bearing fault monitoring and early warning model architecture, studies the multi-source data fusion method based on DS evidence theory, and proposes and implements a self-organizing feature mapping network fault monitoring algorithm and adaptive ARMA The fault early warning algorithm improves the calculation efficiency of the rolling bearing monitoring diagnosis and early warning under the premise of ensuring accuracy. The experimental results show that when the sampling value is greater than 980 groups, the degradation value increases more until the bearing is in a failure state.
Application of Power System in Electrical Engineering and Automation
Authors: Li Yahan 
Published: July 2020

Abstract
Nowadays, with the continuous development of China’s economy, it promotes the continuous progress of electric power enterprises. However, in electric power enterprises, electrical engineering and automation play a very important role. Through the rational application of this technology, it can promote the rapid and stable progress of China’s electric power enterprises. Therefore, in this paper, This paper mainly analyzes the development of power system automation under the electrical engineering and automation technology, and then puts forward the following contents, hoping to provide the corresponding reference value to the staff of the same industry. In this paper, based on the investigation and analysis of the current situation of intelligent power system based on electrical engineering technology, the introduction and application of electrical engineering technology is completed based on the demand of intelligent power system. On this basis, the intelligent power system based on electrical engineering technology is successfully established. Based on a large group of perceptible terminal equipment, the system can complete all kinds of data collection, and send to the upper application by using different network communication modes for intelligent management and analysis. The experimental results show that it can promote the level of intelligence in the power system by about 20%.
Control Strategy of VSG Considering Coordinated Energy Management of PV and ES
Authors: Chen Zhuo , Zeng Weidong , Shu Zhou , Liao Wei , Lin Yuyi 
Published: July 2020

Abstract
With the increasing permeability of distributed generation in power system, the problem of weak inertia of distributed generators cannot be ignored. By imitating the mechanical and electromagnetic characteristics of the synchronous generator, the virtual synchronous generator (VSG) has the ability of smooth power output, peak regulation and frequency modulation, and becomes a kind of grid-friendly distributed power supply. However, the traditional VSG coordinates the balance of power supply and demand through the energy storage device (ES), which requires a high capacity of ES. In this paper, a control strategy of VSG considering coordinated energy management of ES and PV is proposed. Through real-time analysis of VSG’s power output and the state of ES and PV, dynamic adjustment of power output of PV and virtual characteristics of VSG will be made to realize the coordinated control of PV and ES. This strategy effectively improves the dependence of VSG on ES’s capacity by giving priority to the adjustment of PV’s power and asymmetric control of ES’s SOC.
A Revised Dynamic Hurst Parameter Estimation Method Based on Generalized Exponential Window Function
Authors: Zhao Shuyuan , Sheng Hu , Qiu Tianshuang , Dong Yingying 
Published: July 2020

Abstract
Dynamic Hurst parameter estimation is very important in the data filtering and system modelling. It is difficult to accurately estimate the dynamic Hurst parameter of long memory processes. In this research, a generalized exponential window function based dynamic Hurst parameter estimation method is provided, and the effective performance of the method is analyzed using fractional Gaussian noise. In the end of this paper, the application of revised estimation method in sleeping electroencephalogram signal is given. The simulation and sleeping electroencephalogram signal analysis results show that the revised estimation method can effectively analyze the random signals with local correlation characteristics. This method can be widely used in biomedical signal analysis, network traffic analysis, vibration signal analysis, statistical data analysis, etc.
Artificial Intelligence and Big Data Environment Clothing Design Innovation Ability Promote Study
Authors: Pan Haijing 
Published: July 2020

Abstract
From 2020 to 2025, the market value of artificial intelligence in the clothing sector will reach us $47 billion to us $300 billion, a 600% improvement rate, according to a study by the world Internet center. When it comes to the best developing industry in the future, artificial intelligence and big data will be regarded as the best developing business opportunities. The purpose of this paper is to explore how to improve the connotation and attractiveness of the clothing design industry and stimulate more potential of clothing consumption under the excellent business environment. The research of this paper is based on the creation status of domestic fashion designers and makes full use of artificial intelligence technology to design and construct effective customer preference data, which is based on data and supports the creation inspiration of design. The research results of this paper show that in the process of clothing design, users’ preference data should be combined to dig out design innovation points. Only by classifying the sources of inspiration and providing theoretical basis for design through in-depth research on dimensional visualization, can the inspiration of fashion design innovation be inspired.
Design of Online and Offline Hybrid Teaching System based on Network Information Technology
Authors: Yan Qi , Liu Renfei , Wang Yu 
Published: July 2020

Abstract
Hybrid teaching is widely used in colleges and universities in the network teaching platform, can effectively make up for the shortcomings of traditional classroom teaching in colleges and universities at present, but because of the network teaching lack of the guidance of system theory and teaching practice, teaching in colleges and universities network platform will inevitably be in the application of some technical problems, so you need to take the design of the new teaching system. The purpose of this paper is to design a mixed online and offline teaching system based on network information technology, and to provide technical Suggestions for the optimization of mixed teaching methods. This paper designs a hybrid teaching system based on information technology and conducts an empirical study through teaching experiment. The experimental subjects were sophomores in a certain university, and two classes were randomly selected for the teaching experiment. The results showed that the students in the experimental group generally had a high evaluation on the teaching platform, and 93.1% of the students thought the teaching system was very useful. From the results, the design of the new system can help improve the online and offline hybrid teaching system.
Wildlife Tourism Experience Based on Web Text Analysis
Authors: Wang Yiran 
Published: July 2020

Abstract
With the improvement of living standard, people are becoming more and more interested in traveling, especially to visit wild animals. How to analyze the tourism experience of tourists visiting wild animals has become a research hot spot. The text comments left by tourists on the Internet can provide relevant information, so it is essential to carry out the research on the tourism experience of wild animals based on the text analysis on the Internet. The purpose of this paper is to solve the problem on how to understand the tourism wild animals after the visit of the tourism experience problems, by studying the current common network text analysis method, the tourists leave comments on the Internet information extraction, using relevant software comprehensive analysis of relevant information, using content analysis and qualitative analysis of a combination of both sexual themes, on how to analyze tourism personnel to visit wildlife tourism experience has carried on the detailed analysis and research. The tourism experience of wildlife tourists is analyzed in detail and accurately. The results show that the core themes of wildlife tourism experience are tourists, destinations and wildlife. When tourists visit wild animals, they are more likely to take photos and get close contact with them. They are closer to wild animals and interact with them more, which means that tourists are more satisfied with their tourism experience. This web-based text analysis method is 20% more efficient than traditional methods such as questionnaires.
Design and Development of Two-level Deployed and Multi-level Applied Electric Energy Substitution Effect Improvement and Business Expansion Support Software
Authors: Miao Bo , Li Chang , Liu Hao , Lin Jingyi 
Published: July 2020

Abstract
With the in-depth promotion of electric energy substitution and the rapid development of grid informationization, the building of systematic and integrated electric energy substitution effect improvement and business expansion support software becomes an important means to further optimize the electric energy consumption management level and realize the overall improvement of electric energy utilization efficiency. This paper introduces the design idea of this software, shows the layer structure of the platform, describes the relationships among all layers, analyzes the key technologies of the system, and researches and designs the general architecture and function modules. This platform provides the strong technical support for the state to promote the lean management of electric energy substitution and for the State Grid to develop the building of electric energy substitution service system.
The Range of Exponents of Special Two-Colored Digraph with One Non-Common Arc
Authors: Luo Meijin , Li Xiaodong , Li Xi 
Published: July 2020

Abstract
So far, many problems of the primitive exponent of traditional single nonnegative matrix have been resolved. Currently, pushing traditional single nonnegative matrix to matrix pairs which have relatively application in many areas such as information science, communication networks, computer science, is a new trend. According to correspondence relation, two-colored digraphs can be used to solve matrix problems. We consider the uncolored digraph of two-colored digraph has vertices and none non-common arc. The range of exponents and extremal two-colored digraphs are given.
Analysis of Nantong Public Culture Supply Mode Innovation Based on "Internet +" Platform
Authors: Shen Xiaohu , Deng Yangyang 
Published: July 2020

Abstract
Currently, public cultural services are mainly provided by the government, there is a contradiction between supply and demand. Use the "Internet +" innovation-driven thinking to establish a demand-centric innovation mechanism for public cultural supply, rely on big data, cloud computing, information technology, cloud sharing and mobile Internet to build a public cultural Internet service platform, forming "Internet + "Public cultural services" resource information sharing model, innovate the supply of public culture, enrich the content of public cultural services, encourage social forces to participate in cultural construction, at the same time focus on the integration of science and technology, effectively meet the public cultural needs, solve the contradiction between supply and demand in public cultural services.
Practice of Gesture Recognition Based on Resnet50
Authors: Li Zhiming 
Published: July 2020

Absrtact
This paper mainly describes and analyzes the common network models of deep learning. By comparing the existing network structure in the industry, this paper focuses on the static gesture recognition algorithm based on the residual network resnet50. In this paper, we choose the depth residual network resnet50 to realize the gesture control of web browser, and apply the gesture recognition method proposed in this paper.
Design and Implementation of Agricultural Internet of Things System Based on Aliyun IoT Platform and STM32
Authors: Zhou Tianli , Zhang Jian 
Published: July 2020

Abstract
Based on the research of Internet of things, agricultural intelligent management system was proposed based on Aliyun IoT platform and STM32.Through the ZigBee wireless sensor technology to complete the data transmission function of each sensor by ESP8266 and the MQTT protocol complete STM32 access connection function of Aliyun IoT platform, through the cloud database RDS complete data storage function, and implements the Web visual development and system supporting Android APP development. A set of agricultural automation intelligent management system, which is portable, small and suitable for farmers’ consumption demand, has been developed.
Evaluation of Regional Logistics Competitiveness of Wuhan’s “1+8” Urban Circle Based on SPSS
Authors: Zhou Rong , Chen Rui 
Published: July 2020

Abstract
In this paper, 8 cities in the "1+8" urban circle of Wuhan were taken as research objects to construct the evaluation system of regional logistics competitiveness. Based on relevant data in 2017, the competitiveness of regional logistics in 8 cities was compared by factor analysis. Based on cluster analysis, the development level of regional logistics in the 8 cities was revealed. Finally, we put forward several suggestions to improve regional logistics competitiveness for the 8 different cities.
Equipment Storage and Supply Mode Based on Information Integration
Authors: Sun Wanguo , Liu Zongqiang , Jia Qi 
Published: July 2020

Abstract
This paper first analyzes the army equipment storage-supply mode and the deficiency of the existing problems to be solved, and then at the army information integration based on the existing study, further study of the guarantee of equipment and supplies, for equipment guarantee model for scientific and reasonable planning, this paper proposes a new equipment storage-supply model, mainly divided into reserve mode and supply mode, for the equipment security reform provides a new way of thinking.
E-Learning and Online Instructions of Higher Education during the 2019 Novel Coronavirus Diseases (COVID-19) Epidemic
Authors: Chang Chiu-Lan , Fang Ming 
Published: July 2020

Abstract
E-learning and online instructions of higher education play a key role in no suspension of learning and no suspension of teaching during the 2019 Novel Coronavirus Diseases (COVID-19) Epidemic. This study summarizes the responses from online instructors and analyzes the difficulties and solutions of the online learning and instructions. The results indicate that although most instructors try to prepare the contents of instructions well, however, it is still not an easy way to monitor and change the students’ learning behaviors in such a short term. We outline implications for practice and ideas for future research. The results could be used to serve as a benchmark for comparing levels of online learning and identify the main difficulties of online instructors during the outbreak circumstances of the COVID-19.