bluuebunny/crossref_metadata_2025 huggingface dataset:
Stability analysis of TJ-II stellarator NBI driven Alfvén eigenmodes in ECRH and ECCD experiments
Authors: Cappa Á. , Varela J. , López Bruna D. , Ascasíbar E. , Liniers M. , Eliseev L.G. , Fontdecaba J.M. , García-Regaña J.M. , González-Jerez A. , Kharchev N.K. , Medina F. , Melnikov A.V. , Mulas S. , Ochando M. , Spong D. , Velasco J.L. , TJ-II Team
Published: April 2021

In this paper, we analyze the impact of electron cyclotron resonance heating and electron cyclotron current drive on the Alfvénic instabilities driven by neutral beam injection observed in the TJ-II stellarator. An MHD stability analysis of driven Alfvén eigenmodes compatible with the experimental plasma parameters is carried out in order to compare with the data provided by magnetic coils, radiation monitors, and heavy ion beam probes. To this end, the vacuum magnetic configuration modified by the different levels of plasma current, the thermal plasma parameters and the fast ion pressure profiles generated by the co-injected neutral beam, are entered in the FAR3d gyro-fluid code in order to follow the linear evolution of the destabilized plasma equilibrium. Linear growth rates and radial location of the dominant predicted modes coincident in frequency with the observed fluctuations are presented. Despite the uncertainties related to the estimation of the rotational transform profile, the code predictions agree within reasonable accuracy with the experimental results.
Real-time prediction of high-density EAST disruptions using random forest
Authors: Hu W.H. , Rea C. , Yuan Q.P. , Erickson K.G. , Chen D.L. , Shen B. , Huang Y. , Xiao J.Y. , Chen J.J. , Duan Y.M. , Zhang Y. , Zhuang H.D. , Xu J.C. , Montes K.J. , Granetz R.S. , Zeng L. , Qian J.P. , Xiao B.J. , Li J.G.
Published: April 2021

A real-time disruption predictor using random forest was developed for high-density disruptions and used in the plasma control system (PCS) of the EAST tokamak for the first time. The disruption predictor via random forest (DPRF) ran in piggyback mode and was actively exploited in dedicated experiments during the 2019–2020 experimental campaign to test its real-time predictive capabilities in oncoming high-density disruptions. During dedicated experiments, the mitigation system was triggered by a preset alarm provided by DPRF and neon gas was injected into the plasma to successfully mitigate disruption damage. DPRF’s average computing time of ∼250 μs is also an extremely relevant result, considering that the algorithm provides not only the probability of an impending disruption, i.e. the disruptivity, but also the so-called feature contributions, i.e. explainability estimates to interpret in real time the drivers of the disruptivity. DPRF was trained with a dataset of disruptions in which the electron density reached at least 80% of the Greenwald density limit, using the zero-dimensional signal routinely available to the EAST PCS. Through offline analysis, an optimal warning threshold on the DPRF disruptivity signal was found, which allows for a successful alarm rate of 92% and a false alarm rate of 9.9%. By analyzing the false alarm causes, we find that a fraction (∼15%) of the misclassifications are due to sudden transitions of plasma confinement from H- to L-mode, which often occur during high-density discharges in EAST. By analyzing DPRF feature contributions, it emerges that the loop voltage signal is that main cause of such false alarms: plasma signals more apt to characterize the confinement back-transition should be included to avoid false alarms.
Design and Implementation of a Web Services-Based Business Administration Computer System
Authors: Zhang Yang
Published: April 2021

With the advent of the information age and the popularity of computers, computer technology has been greatly developed in this era. So many people began to use computers and develop computer performance, so a variety of algorithms were proposed. This is a great help for us to build a variety of network services and facilities. Because of the time and complexity, web service was put forward a long time ago, and after years of application, it has become very simple and convenient. Even without systematic computer learning, you can simply start to deal with things. Therefore, the purpose of this paper is to use web service to design business management computer system. On the premise of protecting user data security and computer firewall network security, we use web services to build a platform for the computer system we need to build. Therefore, after consulting the literature at home and abroad and comparing the construction methods of others, we use the cluster analysis algorithm to run the system construction, and analyze and process the experiment. Finally, the experimental results are obtained. The experimental results show that the business management computer system based on clustering analysis algorithm can be used.
Innovation of Financial Management Teaching Mode Based on Big Data
Authors: Zhang Feiteng
Published: April 2021

As we all know, the development of social innovation is inseparable from science and technology. Nowadays, the emergence of Big Data(BD) has a significant impact on society. In this data age, the traditional Teaching Mode(TM) of financial management can not meet the needs of the times, and the teaching of financial management needs to be reformed and innovated. In this context, this paper proposes the financial management professional innovation research based on BD. In order to adapt to the trend of the development of the times, this paper proposes an accurate TM of financial management based on BD. In teaching, we use BD technology to accurately mine students’ learning needs and learning characteristics, and give targeted teaching plans through data analysis and decision-making. In order to verify the effectiveness of the method proposed in this paper, we conducted a control experiment. In the experiment, we selected two classes of students with little difference in financial management major in our school as the experimental objects to carry out the research. After the experiment, we investigated the performance and satisfaction of the two classes of students, and evaluated the teaching scheme and teaching effect of the two classes. The results show that after the experiment, only 40% of the students in the control class use the traditional TM, while 63.33% of the students in the class use the TM proposed in this paper, which is far higher than the control class. It can be seen that the financial management precision TM based on BD proposed in this paper is effective and has great advantages.
Personalized Teaching Model of College English Based on Big Data
Authors: Zang Ruiting , Wang Liying
Published: April 2021

With the progress of the times and the development of economy, the state and society put forward higher requirements for talents, and college students, as the main force of socialist construction, are expected to be higher. The society requires college students to have higher comprehensive quality, more and more occupations and posts put forward higher requirements for college students’ English ability, and the market economy needs more workers with excellent English ability. The international trend of education also requires college students to have excellent language skills, especially English as a second official language. With the further development of economic globalization, more and more international cooperation and more frequent cultural exchanges, society needs more English talents, and the ability to use English effectively reaches 90%, and the ability of cross-cultural communication reaches 90%. This is an important part of personal progress.
Development Strategy of International Service Trade Based on Big Data
Authors: Li Na , Lv Dongqin
Published: April 2021

In recent years, the rapid development of China’s international trade in services has brought new impetus to China’s economic growth. However, due to the late development, compared with foreign countries, there is still a lack of core competitiveness. big data(BD) can bring great commercial value, and it is currently applied in various fields. In view of the current situation of China’s international trade in services, this paper puts forward the development strategy research of international service trade(IST) based on BD. This paper makes an in-depth study and analysis of BD technology and its application in China’s international trade in services. It is believed that the current situation in China’s international trade in services is too single, low-end industry, and low share of high-tech. through BD technology, we can further tap the potential value behind the data, so as to improve the 1ST the existing problems in the scientific analysis. This paper investigates the competitiveness of China’s IST. Through the survey, we can see that the T Index of China is - 0.021, and the overall economic competitiveness of enterprises in service export trade is relatively weak. In the current modern service export trade, the overall competitiveness and advantage index of patent, insurance and other fields are relatively low, reaching -0.91, - 0.97, - 0.86. The analysis shows that the reasons behind this situation are complex, but it also indirectly shows that there is still a lot of work to be done to make China’s 1ST bigger and stronger. First of all, we should pay attention to the analysis and application of data, and formulate scientific and effective development strategies through BD analysis and other means.
Landscape Design System of Industrial Heritage Based on Big Data and web Technology
Authors: Wang Zhihong
Published: April 2021

With the rapid transformation of industrial structure, most of the abandoned old industrial buildings left over from history have been abandoned, which is difficult to get people’s attention. However, industrial heritage has important aesthetic, historical and architectural heritage value. In the transformation of parks around the world, they often attach importance to their industrial layout and architectural landscape space design. The research on public commercial supporting space starts late and the starting point is relatively low. As a result, the construction of commercial facilities in China is not mature and perfect, lack of relevant basic commercial supporting materials. Therefore, how to improve the reuse rate of industrial waste, realize the continuation of industrial memory, improve the construction of public facilities, and meet all kinds of conditions required by tourists has become an important research topic. The purpose of this project is to make a reasonable allocation of landscape space for a certain place in our city. The results show that 12 people over 45 years of age are very dissatisfied with the design of industrial heritage.
The Development Jilin Province’s Automobile Industry Artificial Intelligence and LC Economy
Authors: Zhao Xianmin
Published: April 2021

With the rapid increase in the number of traditional cars, coupled with the non-renewability of petroleum fuels, the traditional automotive industry is facing severe energy challenges; traditional cars emit a large amount of greenhouse gases and toxic gases during the driving process, which brings serious Environmental Pollution. As a major manufacturing province of China’s traditional automobile industry, the development of the automobile industry in Jilin Province is very important. Making the most of one’s own advantages, strengthening the core component support system, and realizing the process of industrialization of intelligent and environmentally friendly new energy vehicles is the focus of the automobile industry in Jilin Province. Low Carbon(LC) economy has become the main direction of world economic development, and the development of China’s automobile industry is facing energy, environmental protection and transportation issues. This article comprehensively elaborates the theoretical basis for supporting the development of a LC economy in the automobile industry in Jilin Province from the theoretical basis of artificial intelligence and LC economy, related sustainability, and circular economy, and puts pressure on the current environmental pressure requirements and energy consumption requirements. Next, the inevitability of the intelligent LC development model of the automobile industry is comprehensively analyzed, and then based on the analysis of the current energy consumption and carbon emissions of the automobile industry in Jilin Province, the development path of the automobile industry in Jilin Province under the background of artificial intelligence and LC economy is proposed.
Artificial Intelligence Path Planning for Marine Environment
Authors: Wang Shuo
Published: April 2021

Artificial intelligence path planning and its optimization method is an important topic of the times, but the research of path planning for marine environment is less. Under the background of the popularization of offshore operation platform and the urgent development of marine resources, it is very important to analyze the artificial intelligence marine path planning and study the multi strategy path planning optimization algorithm. In view of this, this study proposes a multi strategy optimization ant colony algorithm (ACA-Mso), and realizes the artificial intelligence path planning of marine environment by updating the population pheromone strategy, implementing the preview strategy of local forced exchange optimization, and the symmetric path optimization strategy. Its main advantage is that it not only overcomes the shortcomings of the basic ant colony algorithm, such as long convergence time, too many iterations of the optimal solution, and the limitations of fuzzy symmetric path selection rules, but also ensures the enhancement of pheromone among nodes, the optimization of local search path potential, and the improvement of search ability of path planning algorithm, so as to realize the comprehensive path planning of marine environment Optimization.
Research on Load Balancing Dispatching Method of Power Network Based on Cloud Computing
Authors: Bin DongMei , Yu Tong , Li Xin
Published: April 2021

With the continuous development of big data era and cloud computing(CC) technology, there are still a series of problems in the planning performance and related algorithms of CC grid, such as unbalanced grid load and uneven grid spatial distribution. However, with the continuous development of social economy and the continuous improvement of people’s living standards and quality, the scale of power grid construction is also expanding, the load distribution of power grid is unbalanced, and the power distribution capacity is insufficient. In order to effectively analyze the load balance and scheduling of power grid, CC technology can accurately improve the accuracy of data analysis and processing. In the process of network load balancing and distribution, the use of CC can not only improve the scheduling efficiency, but also improve the quality and speed of work. Aiming at the problem of poor scheduling performance, this paper proposes a fuzzy iterative algorithm and applies it to CC environment. Plan load balancing for the current network. The experimental process of the algorithm is introduced in detail, the balanced distribution parameters of the load data are extracted, and the load model is established. Realize and improve the network load balance distribution. Experimental results show that the proposed method can improve the load balancing configuration of power grid, improve the management efficiency of power grid, and has good experimental performance.
Dance Teaching Activities in the Context of Informatization
Authors: Chen Yanmin
Published: April 2021

In the context of the rapid development of the Internet in the information age, the deepening of resource sharing concept and the enhancement of information reform awareness in the field of higher education have played a catalytic role in the development of MOOC and the rise of SPOC. This paper mainly studies the design of dance teaching activities under the background of informatization. This paper makes full preparations for the model construction and teaching design by using the preliminary analysis, and at the same time synthesizes the curriculum foundation of many subjects involved in the teaching of physical dance, and chooses the professional course of physical dance as the medium for the next teaching experiment. In the teaching effect verification based on summative evaluation, 40 students majoring in dance performance in an art college were selected as experimental objects, and SPSS22.0 software was used to test homogeneity within and between the experimental group and the control group, respectively. It is feasible to apply the MOOC+SPOC based hybrid teaching mode to the external conditions, internal motivation, emotion and other support of sports dance teaching in universities.
The Role of Information Based Foreign Language Teaching in the Publicity of Chinese Excellent Traditional Culture
Authors: Shan Li
Published: April 2021

Information based foreign language teaching refers to the introduction of information technology in foreign language teaching and the implementation of information-based teaching methods in foreign language classroom, which is conducive to the establishment of multi-mode corpus in the course website, the implementation of multi-dimensional interactive teaching mode inside and outside the classroom, and also helps to improve the diversity of evaluation system. Although China’s external publicity has improved greatly, the communication technology and technology of our Excellent Traditional(ET) culture in the external communication and publicity are relatively backward. Therefore, this paper mainly discusses the role of information-based foreign language teaching in the publicity of Chinese ET culture. In this paper, an experimental class and a control class are set up. The experimental class adopts the information-based foreign language teaching to publicize the ET Chinese culture, while the control class adopts the traditional teaching method to publicize the ET Chinese culture. After the end of the semester, through comparative analysis, it shows that the information-based foreign language teaching designed in this paper has a very good effect in the publicity of Chinese ET culture.
Design and implementation of dustproof function of computer chassis
Authors: Gong Jianhu
Published: April 2021

In order to solve the problems in dust removal of computer chassis by using dust net and cotton, this paper puts forward a dust removal system solution including air inlet fan, spiral groove, air outlet pipe, upper shield and lower shield.
Information Hiding Technology under the Background of Power System Network Security
Authors: Huang Jie , Li Jing , Wang Jie , Tian Li
Published: April 2021

Power grid plays an important role in the development of the country and people’s life. It can be said that both production and life are inseparable from the power grid. Therefore, when the power system network security threats, the whole life will be adversely affected. Traditional power system network security protection measures have been unable to meet the current demand of power system network security protection. Information hiding technology is an advanced network information hiding technology, which has been widely used in recent years. Therefore, this paper puts forward the research of information hiding technology under the background of power system network security. In this paper, the power system network and information hiding technology are deeply studied. The analysis shows that the latest information hiding technology can play a good role in security protection of power system network, especially for various camouflage attacks. In this paper, according to the actual security requirements of power system network, combined with the main characteristics of information hiding technology, the traditional information hiding algorithm is optimized and improved. In the verification experiment, compared with the traditional algorithm, the NC value of the optimization algorithm in this paper has been significantly improved. The NC value of the traditional algorithm of 5x5 Gaussian low-pass filters is 0.619, while the algorithm of this paper reaches 0.869, the effect is obviously improved. Analysis shows that the algorithm in this paper further improves the NC value of the traditional algorithm, and improves the robustness while ensuring the image quality.
Influence of Temperature Characteristics Based on Big Data on Cable Accessories under HV DC Field
Authors: Li Guowei , Wang Yong , Li Wenbin , Dong Guozhen
Published: April 2021

Cable accessory is a weak link in cable line operation, which is prone to accidents. It is of great significance to study the influence of temperature characteristics on cable accessory and determine the temperature field distribution of cable accessory for ensuring the safety of cable accessory operation and improving the overall reliability of cable line. This paper mainly studies the influence of temperature characteristics based on big data analysis on cable accessories under hV DC field. This paper first gives an overview of big data related technologies, and then introduces the calculation method of cable loss, which provides a theoretical basis for analyzing the influence of temperature characteristics on cable accessories. Furthermore, by setting the contact resistance coefficient K at the conductor of the cable connector, the temperature field calculation model of the contact resistance of the cable connector is established, and the distribution law of the temperature characteristics of the cable connector when the contact resistance of the conductor is too large is studied. With the increase of the contact resistance, the temperature of the connector core and the temperature of the connector indicate that the temperature increases gradually.
Intelligent Cable Joint Quality Management System Based on RFID Technology
Authors: Li Guowei , Wang Yong , Xu Xuexia , Li Wenbin , Dong Guozhen
Published: April 2021

Intelligent workshop production is based on the stable implementation of the enterprise production plan, the use of the Internet of Things technology to achieve the visual management and services of the enterprise, improve the control of the production process of the enterprise, reduce the manual intervention of the production staff of the enterprise, to build a user-friendly production workshop with real-time information and visual production process. This paper mainly studies the intelligent cable joint quality management system based on RFID technology. This paper designs a data acquisition and monitoring scheme for RFID in the workshop site and material warehouse. Taking the RFID reading process in the workshop site as an example, the communication process between the bottom layer and the upper computer is described in detail to provide data support for the control and control of the industrial site. This paper studies the tag conflict prevention algorithm in THE RFID system when the materials are out of storage. The algorithm divides the tag conflict into several independent and small-scale optimal sub-structures according to the number of conflict slots.
Design and Implementation of Practical Teaching Management System Based on Web in Higher Vocational Colleges
Authors: Liang Yongwen
Published: April 2021

In this paper, taking the practical teaching management in higher vocational colleges as the background, they have caused some problems, so, in higher vocational colleges, we construct the new management system based on Asp.net MVC in order to optimize the information level of the management and the construction of practical training room, and to improve the information-based teaching management, as well as to promote the efficiency of practical teaching management and the quality of personnel training.
Teaching Reform Strategy of Ideological and Political Course Based on Big Data-Taking “Digital Electronic Technology” as an Example
Authors: Xie Guokun , Jia Yajuan
Published: April 2021

The spiritual breath is industrial knowledge, the number of people, the number of people, the data knowledge, the method, and the polymorphism. The amount of data possessed by human beings is getting larger and larger. There may be a lot of information that we are interested in hiding behind the amount of data. How to effectively use digital technology to mine this information has become a problem to be solved. There are two core technologies in digital technology, data mining technology and data fusion technology. The purpose of this article is to conduct research and analysis based on (BO) the teaching reform of big data ideological and political (IAP) courses. This paper recommends using the traditional algorithm FP-growth algorithm to solve the digital technology problems commonly used in big data. The FP growth algorithm has the widest range of applications. Compress the transaction database into the FP tree for processing. It also uses the Aprili algorithm. Instead of generating frequent candidate itemsets, you only need to scan the database twice. The improvement of the experimental results shows that in the IAP courses BO big data studied in this article, students recognize and like educational reforms. The degree of students’ love of the course has increased by about 90%, which has played an important role in improving students’ concentration on the course.
RETRACTED: Prediction Method of Innovation and Entrepreneurship Intention of Computer Majors Based on Artificial Intelligence Technology
Authors: Zhang Jinbang , Fu Yanping
Published: April 2021

With the rapid development of artificial intelligence technology, the cycle of transforming scientific and technological achievements into actual productivity is getting shorter and shorter, and technological progress and innovation and entrepreneurship have become decisive factors in economic and social development. However, the current stage of innovation and entrepreneurship education in my country has not been integrated into computer majors, which has reduced the effectiveness of innovation and entrepreneurship for computer majors. In this regard, the purpose of this article is to study the method of predicting innovation and entrepreneurial intentions of computer majors based on artificial intelligence technology. This article first understands and analyzes the current situation of innovation and entrepreneurship education in computer majors through questionnaires, visits and analysis, and analyzes the problems faced by innovation and entrepreneurship education in computer majors at this stage. After empirical analysis of the collected data, the experimental results show that the theoretical model based on artificial intelligence technology can effectively analyze the influencing factors of college students’ innovation and entrepreneurship intentions, and plan and guide them, and the degree of recognition of college students’ innovation and entrepreneurship has also been obtained. An improvement of about 20%, which has important guiding significance for the innovation and entrepreneurship of computer majors.
Application of Big Data in Improving Landscape Plant Landscaping Method
Authors: Huang Liang
Published: April 2021

With the progress of information technology, the acquisition, analysis and application of data continue to deepen. Big Data(BD) is affecting our life and work, and gardens are inevitably affected. BD brings opportunities for landscape architecture, changes planning and design ideas, and promotes discipline cooperation and data fusion. At the same time, it also brings challenges. The pure data theory and the protection of privacy are the problems we need to face and solve. In view of these problems, this paper puts forward the application research of BD in improving the landscape plant landscaping method. In this paper, according to the current situation of landscape plant landscaping in China, 210 landscape workers and BD technical personnel in China were selected as the survey objects, and the satisfaction of BD technology application was more than 85%, which played a role in promoting the landscape plant landscaping methods. Through the comparative analysis of the standardization, in telligence and scientificity of traditional landscape design and BD landscape design, it is concluded that the indicators of BD landscape design are superior to the traditional landscape design. BD technology provides technical support for the research of landscape plant landscaping methods.
Improving the Quality of Ideological and Political Education in Colleges and Universities in Big Data Age
Authors: Zeng Fanglian , Liu Lian
Published: April 2021

The Ideological instruction work is related to the future and destiny of socialism with Chinese characteristics. The arrival of big data era has brought opportunities and challenges to this arduous and glorious cause. The combination of science and technology represented by big data, Internet, cloud computing and Internet of things will inevitably lead to a new round of innovation and development. Through questionnaire survey, in-depth interview and literature analysis, this paper finds out the main problems of college students’ network Ideological instruction problems in the big data era. Through the questionnaire survey, we can see that the proportion of students who surf the Internet 4-6 hours and more than 6 hours a day is more than 47%, and more than 77% of the attention content in the school portal is academic achievement, combined with the extended interview with Ideological instruction workers in colleges and universities.
RETRACTED: Application of Clustering Algorithm in Ideological and Political Education in Colleges and Universities
Authors: Wang Qibin
Published: April 2021

In recent years, with the rapid development of information technology, China has entered the information age. Information technology has changed our life, but also affected the form of ideological and political education(IAPE) management in colleges and universities(CAU). Data mining technology based on clustering algorithm has been widely used in university education management, but the application research of this technology in the field of IAPE is still insufficient. Therefore, this paper puts forward the application research of clustering algorithm in IAPE in CAU. After research, this paper believes that the existing IAPE in CAU is still based on the traditional management mode, lack of data sensitivity and insufficient utilization of teaching information data. In view of this situation, according to the education and management needs of IAPE, combined with the characteristics of clustering algorithm, the traditional clustering algorithm is optimized and improved. Compared with the traditional algorithm, the improved algorithm simplifies the calculation steps, improves the accuracy of calculation, and is more suitable for the application in the field of IAPE in CAU. In order to further verify the actual effect of this algorithm, the improved clustering algorithm is verified by experiments. In this experiment, the proportion of the three types of fraction is 25%, 64.4%, 10.6%, which is much higher than the previous sample data. Analysis shows that the algorithm in this paper has played a positive role in improving the management effect of IAPE in CAU and promoting the optimization and reform of IAPE in China.
Digital Art Into the Design of Cultural and Creative Products
Authors: Dai Yongli
Published: April 2021

Cultural and creative products(CACP) have their own unique creativity and culture, so they are popular with the public. Digital art of traditional CACP is a major direction of the reform and upgrading of CACP. However, there is little research on digital art in the design of CACP. Therefore, this paper puts forward the design research of digital art into CACP. In this paper, the application of digital creative products in the cultural and creative product design can be enhanced. According to the actual needs of traditional cultural and creative product design, combined with the latest digital media art, this paper constructs a new creative design model of CACP, and focuses on the interactive effect of digital media artistry on CACP. In order to deeply understand the influence of digital art integration on the design of CACP and the development of cultural and creative industries, this paper establishes the corresponding investigation and research. According to the questionnaire and public data, the sales volume of Dunhuang Cultural Products in Dunhuang increased from 13.584 million yuan in 2016 to 31.957 million yuan in 2019, an increase of 135%. The analysis shows that digital artistry has changed the design concept of traditional CACP, enhanced the sense of experience of CACP, and promoted the economic development of cultural and creative industries.
Iterative learning PID Controller for Permanent Magnet Linear Synchronous Motor
Authors: Li Hongxin , Sheng Hu , Shen Liang
Published: April 2021

At present, PID controllers have been widely used to control permanent magnet linear synchronous motor(PMLSM), but PID controllers are difficult to be suitable for the occasions with high precision requirements. In order to solve the problem of high precision control, the position-speed-current three-loop control structure is adopted in this study. In the design process of the position controller, the method of combining PID and Iterative learning controller is adopted. Iterative learning control(ILC) can deal with problems in a very simple way. A dynamic system with a fairly high degree of certainty, at the same time, is highly adaptable and easy to implement. It does not rely on the precise mathematical model of the dynamic system, and is an iterative generation of optimized input signals. The Matlab simulation results show that the PMLSM under the iterative learning PID control has accurate position tracking ability. The applicable object of this control system is the controlled system with repetitive motion of industrial robot, which can effectively realize the complete tracking task in a limited time interval.
RETRACTED: Analysis on the Competitiveness of Global Agricultural Remote Sensing Research Based on Artificial Intelligence Technology
Authors: Bai Bing , Wang Jianjun , Tian Shujiao , Peng Xiuyuan
Published: April 2021

In order to accelerate the overall progress of digital agricaulture, fully grasp the global agricultural remote sensing research, and support the basic application research of global agricultural remote sensing, this paper uses Web of Science as the data resouce, adopts bibliometrics and artificial intelligence methods, and Excel, VOSviewer and other tools are used to provide a comprehensive analysis of SCI journal articles on global agricultural remote sensing research in terms of the overview of article publication, institutions, authors, and topics.
RETRACTED: Analysis of research situation of domestic tomato irrigation and fertilization based on artificial intelligence technology
Authors: Zhang Zhijuan , Miao Yu , Peng Xiuyuan
Published: April 2021

To fully grasp the development trend of research on tomato irrigation and fertilization in my country. This article uses CNKI journal database as the data source, using knowledge graph method, with the help of Excel, VOS viewer and other tools. A comprehensive analysis of the core scientific and technological journal papers of my country’s tomato irrigation and fertilization research is carried out from the aspects of publication volume, institutions, authors, journals, frequency of citations, disciplines, topics, and fund distribution.
Design and Application of Mental Health Intelligent Analysis System for College Students Majoring in Physical Education
Authors: Li Xinlong , Shi Xiaoyu
Published: April 2021

In today’s society, whether in business life or in private life, establishing relationships with friends and acquaintances effectively emphasizes the important role of Esq. As a person with high EQ, he should provide self-identity and proof needs, pay attention to consumption and insufficiency, control his temper, and establish relationships with friends and acquaintances. In this study, sports colleges and sports major students as the research object, to compare their multiple intelligence fields. Starting from the connotation of EQ and the analysis of EQ of independent college students, this paper puts forward that physical education is the only way to cultivate students’ EQ, and puts forward suggestions that physical education should cultivate college students’ self understanding ability, self motivation ability, self-control ability and self-control ability, so as to resist setbacks. Comparison method and non intelligence scale were used. A questionnaire survey was conducted on college students, and their life experience, self-esteem, self-confidence and hope were evaluated. Self reported self-esteem, self-confidence and stress levels are used to distinguish between resilient and inelastic students. The results show that the minimum support of a is 25%, the minimum confidence is 9%, and the number of association rules is 213; the minimum support degree of B is 16%, the minimum confidence is 16%, and the number of association rules is 194.
Civil Engineering Construction Project Management Based on Computer Technology
Authors: Zhang Li , Zhu Bin , Zhang YongGang
Published: April 2021

With the rapid development of computer technology, has the construction project management changed a lot? In the construction engineering, information technology has played a very important role. In this paper, through the application of computer in project management related concepts are summarized, understand the relevant technology and technical characteristics, through the design and analysis of management platform, and test platform can be Reliability and stability, the platform can well meet the needs of project management, and can provide information utilization maximization for the efficiency and quality of construction projects.
Application of Action Research into the Development of English Linking in a College English Classroom
Authors: Liu Yao
Published: April 2021

This article reported the introduction of action research into an intensive English class for English major freshmen at a college in China. Sixty-one students (three boys and fifty-eight girls) participated in the study, which investigated the effects of action research on their pronunciation development of linking. Through a recording test and a questionnaire, students’ proficiency in English linking was identified. The test and the questionnaire were administered before the intervention. Based on the analysis results, a refined four-step process of planning, strategies, action and self-reflection was proposed, aiming to develop the students’ proficiency of linking. A three-week teaching action was carried out. With the help of online platform, online videos, timely feedback in class both from the teacher and peers, reflective journals in the process of the instruction and an interview conducted after it showed that action research had a clear positive effect on the development of students’ proficiency in English linking.
Teaching Design Exploration of the Course Based on the “6+2” Basic Principle--Take “Computer Foundation” Course as an Example
Authors: Liao Jianlai
Published: April 2021

Under the background of the new normal of education, the state puts forward new requirements on vigorously developing modern vocational education where new technologies, new techniques and new specifications should be incorporated into the teaching standards and teaching contents in time to strengthen students’ hands-on ability. As the key to the reform of vocational education, curriculum design must be combined with the principle of “6+2” to realize the integration of teaching and doing. As a public basic course, “Computer Foundation” always implements the “6+2” principle in teaching, and takes the basic office software operation as the system, which is fully in line with the training objectives of the basic courses of vocational education.
Data Visualization Model Based on the User Experience
Authors: Wang Pengwen , Hu Yanan , Huo Jiaofei
Published: April 2021

The data characterization is effectively explored based on the human cognitive features of data visualization conforming to the characteristics and habits of human beings. It analyzes the principle and characteristics of human cognition, and interprets the advantage of the graphic symbols and visual thinking in cognitive process. Furthermore, a model of the big data visualization is proposed based on the human cognitive law, which includes four main parts: strategic level, scope layer, structural layer and data presentation layer. It gives an example to expatiate that the current visualization of the cognitive model can be applied to the related data visualization, and realize the mapping between the visual cognitive thinking and data visualization.
The Computerized Educational System Designed For Academic English Reading Technique Training-Take Computer Science Major as an Example
Authors: Li Biao , Liu Jing , Guo Jianxun , Zhou Chen , Lv Xinying , Shen Yifei
Published: April 2021

As we all know that computer science is the future in every scientific research field. So, the students who are going to graduate from University or to get higher degree all need to study the advanced techs through articles written in English. Especially for the graduates who major in computer science, for their research, the first step is to understand the English materials. However, English reading seems to be a big problem for them. In this article, the author tentatively proves the idea— common reader, especially computer science major readers can improve reading ability by practicing their eyeball. The author uses this method to help the computer science major students to get the success as quickly as possible, so that they can get the capacity in future research. The author used the computer and a software that a picture moves all the time from left to right. By this way, the author want to train the students’ eyeball ability. And then he fastened the speed little by little and help the students to master the scientific rule of the eyeball movement practicing. The author held a three-step-experiment. Each step includes methods and tests. After each step, according to the result of the test, the author improved the method.
Influence of Large Marathon on City Brand Building Based on Big Data Analysis
Authors: Fu Qiang , Li Huarui , Chai Junda
Published: April 2021

With the rise of the national fitness tide, marathon has become one of the popular sports in the city. Marathon has a positive impact on the shaping of city brand, but there is little research on this aspect in China at present. Therefore, this paper puts forward the research on the impact of large-scale marathon on city brand building based on big data analysis. Through the investigation and analysis of the effect of marathon on urban construction, the results show that marathon competition in the city has the functions of carrying forward the city culture, strengthening the citizens’ fitness consciousness, clarifying the city brand positioning, and strengthening the construction of sports infrastructure. In order to further investigate the role of marathon in the construction of city brand, this paper takes the marathon race of a city as the research object and makes an in-depth study on it. While analyzing the impact of marathon on city brand building, the paper also analyzes the passenger flow and passenger flow structure during the marathon race through big data. The data show that during the marathon, the city’s passenger flow has been significantly improved. From the crowd structure, marathon is more popular with young groups. In this paper, the author holds that the marathon race in a city has an important impact on the image of the city concept. It can not only shape the city brand image, but also promote the development of tourism industry.
Animation Based Narrative Strategy and Shaping of Image Animation-based Narrative Strategy and Image Shaping in the Information Age
Authors: Hu Bofei
Published: April 2021

Today’s society is an Internet age, information technology is becoming more and more developed, and the development of animation is becoming more and more high-tech. Narration and image shaping are two indispensable and important forms of expression in animation, which are capable of increasing the story based characteristics and drama richness and enhancing the quality and development of animation. It is of high research value. This paper analyzes the artistic expression effect in its animation design and shooting from the perspective of narrative strategy and image shaping, and thus proposing reasonable measures on improvement.
An Empirical Analysis of Stochastic Volatility Model Based on SSE 50 ETF Option
Authors: Ai Siyan
Published: April 2021

Option is an effective financial derivative instrument. It is crucial to price options rationally in the options market. The classical B-S option pricing model yields an option price that deviates from the actual price of the market due to its unduly ideal assumptions. Later scholars proposed the GARCH and SV models to optimize the B-S model. With the SSE 50 ETF option selected as the study object, The GARCH model and the SV model are used to compare the pricing errors of the GARCH model and the SV model. The empirical results show that the SV model is better than the GARCH model in terms of accuracy in any degree of value and option duration, which is suitable for the Chinese options market.
Metrology and Computer Visualization Analysis of Taijiquan’s International Communication Research in the Big Data Era
Authors: Yu Jing , Ye Nianhua , Li Tengda , Wu Hong
Published: April 2021

As a traditional Chinese Wushu integrating various functions such as temperament maintenance, physical fitness, and skill of fighting, Taijiquan takes Taiji thought, the dialectical concept of Yin and Yang in traditional Chinese Confucianism and Taoism as its core ideas. Also, its formation combines the theory of Yin and Yang, five elements of thought in Yi Jing, the theory of TCM meridians and collaterals, as well as the ancient physical and breathing exercises. The international communication of Taijiquan has built a bridge of Chinese excellent Wushu culture and the world. Taijiquan is one of the outstanding representatives of Chinese Wushu culture, and the research of its international communication has a vital significance for understanding the status quo and problems of the traditional culture of our country, and promoting correct understanding of westerns in it. In this paper, the method of computer visualization is adopted to carry out statistical analysis of related journal articles collected in CNKI database in China in the past two decades, which aims at finding the hot topics, research status and research methods of Taijiquan’s international communication, and providing references for future research.
Study on the Deployment Mechanism and Design Method of Naval Ships
Authors: Tian Feng , Ma Liang , Shan Hong-yan
Published: April 2021

Mission for naval vessels, combat task list, a variety of deployment status, and the timing requirements, grasp the combat patrol, the combat ships deployed in the daily management of the training and practice, through the inheritance, development and optimization of ships deployed, strive to establish new ships deployed category, name, connotation and personnel and equipment such as the content, the level of organic integration, synergy and were divided, operational use and commanding password, daily management and responsibility confirmation of denotation, keep both ships deployed the continuity and stability of the specific content and forward-looking, and can realize one has duty, have charge, utmost to mobilize and use of ships and living resources, To meet the needs of warship combat operations, to meet the requirements of facilitating management and training in peacetime and facilitating operations and command in wartime.