bluuebunny/crossref_metadata_2025_split 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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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.
Information Hiding Technology under the Background of Power System Network Security
Authors: Huang Jie , Li Jing , Wang Jie , Tian Li 
Published: April 2021

Abstract
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

Abstract
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

Abstract
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

Abstract
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.