bluuebunny/crossref_metadata_2025_split huggingface dataset:
Application of Virtual Manufacturing Technology Based on Computer in Automotive Stamping Production Line
Authors: Xu Li 
Published: June 2020

Abstract
With the rapid progress of information technology, it has been widely used in various fields and made a lot of achievements. The application of virtual manufacturing technology can analyze and manage the process of automotive stamping production. It can improve the usage of various resources and the decision-making ability in the process of automotive stamping. It can also analyze the automotive manufacturing process from many angles in order to ensure the efficiency of stamping technology. In this paper, through the generalization of virtual manufacturing technology and automotive stamping production line, it analyses and summarizes the application process of virtual manufacturing technology in automotive stamping line.
Research and Analysis of Piano Teaching Based on Intelligent Interactive Background
Authors: Gao MiaoMiao 
Published: June 2020

Abstract
Nowadays, many new creative products are gradually emerging. In the piano art instruction class, intelligent interaction has also played its role. In the context of the widespread use of Internet technology, intelligent interaction has become a key factor affecting the development of art systems, and its application to piano teaching has very important practical significance for the innovation and development of piano teaching concepts. The article analyses the role of intelligent interaction in piano class teaching.
Research on the Teaching Reform of the Basic Computer Teaching Course Assisted by Artificial Intelligence
Authors: Huang LongHua , Chen ZhiHui 
Published: June 2020

Abstract
With the rapid development of information technology, countries are striving to make efforts in the fields of information technology and artificial intelligence. The construction of the course system of artificial intelligence assisted computer basic teaching in colleges is not only related to the personal future of students, but also related to the future development of the national information industry. This paper first studies the current situation of basic computer teaching course’s teaching mode, then analyzes the existing problems in the current basic computer teaching course, and finally gives the construction strategy of the new basic computer teaching course’s teaching system.
Network Big Data Analysis and Mining Based on DPI Technology
Authors: Ma Zongbao 
Published: June 2020

AbstractIn recent years, the rapid development of mobile data network, with 4G commercial wireless network has entered the data era, more and more big data impact on the network of mobile operators, network monitoring and network security need to be strengthened. Depth packet detection technology DPI. The purpose of this paper is to complete network data analysis by in-depth identification of key words in IP packets, so as to meet the current demand of operators for network analysis. In this paper, DPI technology is applied to the actual network, and the DPI data analysis system is constructed by combining the 2G and 3G networks of China mobile. The key technologies in DPI include character recognition, behavior pattern recognition and application layer gateway recognition. At the end of the experiment, the mass signaling data from GB interface and iu-ps interface were obtained to effectively identify various applications and data mining in the network. This paper expounds big data analysis and mining technology and its decision application research from different aspects, hoping to provide theoretical reference for experts and scholars studying the application of big data analysis and mining technology.
Artificial Intelligence-based Learning Behavior Data Mining and Network Teaching Quality Monitoring Mechanism
Authors: Jiang Leilei , Dong Ke 
Published: June 2020

Abstract
The integration of artificial intelligence technology and school education has become a future trend, which represents that students receiving education in the current society have to develop to a higher level supported by “intelligent education”. The popularity of network education also means that higher education has a higher demand for “artificial intelligence education”. The purpose of this paper is to verify the feasibility of these methods by data mining and evaluation of students’ learning behaviors through different methods in artificial intelligence, aiming at the new situation and new problems of students’ learning behaviors in modern education and teaching environment. This paper takes the students of school A as the research objects, starts from the perspective of learners and takes the online learning behavior of learners as the starting point, analyzes the effectiveness of online learning from multiple perspectives, and analyzes the quality monitoring mechanism of online teaching in this university by combining artificial intelligence technology, and puts forward targeted Suggestions.
New Scheme for Detecting False Data Injection Attacks in Power Systems
Authors: Liu Guodong , Guan Hongli , Sheng Ruiming , Xian Daily , Liu Guoshu , Wu Chao 
Published: June 2020

Abstract
Based on the low-rank nature of the matrix composed of grid measurement data and the sparse nature of the malicious attack matrix over a period of time, an inaccurate augmented Lagrangian multiplier method is used as a solution algorithm to construct a low-rank matrix recovery-based Fake data injection attack detection scheme. Based on the simulation results of the IEEE57-bus standard test system, the relationship between the false alarm probability PFA and the threshold τ, the relationship between the detection probability PD and the signal to attack ratio SAR, and the receiver characteristic curve (ROC) are analyzed in detail. Under the condition that the signal-to-noise ratio is 10dB and the false alarm probability is 5%, if the signal-to-attack ratio is less than 17dB, the detection probabilities of RPCA and PCA algorithms are 94% and 40%; if the signal-to-attack ratio is greater than 23dB, the detection probability of both Close to 0, it is no longer suitable for system monitoring. Compared to the PCA algorithm, the RPCA time performance is slightly worse, but it improves the detection probability and has a good detection effect when the signal-to-attack ratio is less than 17dB.
The Development Prospect of English Translation Software Based on Artificial Intelligence Technology
Authors: Wei Zhenhua 
Published: June 2020

Abstract
At present, information technology has developed by leaps and bounds. In particular, some advanced information technologies such as artificial intelligence technology and computer technology have been widely used in all aspects of social production and life. How to effectively use artificial intelligence technology to solve problems in translation is the ultimate purpose of this paper. This paper first introduces the development of computer translation. Secondly, the paper mainly introduces the basic principle and system composition of the case based machine translation. On the basis of the above research, a simple english-chinese machine translation system is explored to realize the help of computer-aided translation to domestic teaching. The basic process is to extract the key words from the English sentences or sentence fragments input by the user or the system, and search the sentences containing the key words by the key words, so as to obtain the possible translation of examples. Finally, the realization, experimental results and evaluation of the translation system are introduced. The development prospect of English translation software is analyzed from the experimental results.
Innovative Application of Artificial Intelligence (AI) in the Management of Higher Education and Teaching
Authors: Ge Zhenxing , Hu Ying 
Published: June 2020

Abstract
Internet and large data technology provide us with abundant information resources, which has caused great changes in society and economy. Therefore, their application in education and teaching management in colleges and universities has attracted much attention. Artificial intelligence, with its more intelligent, personalized, accurate and diversified characteristics, brings a new idea for the innovation of teaching management methods in colleges and universities. At present, in China, the application of artificial intelligence in the education and teaching management of colleges and universities has got some foundation and achievements, but compared with other industries, it is still at the primary level. It is the direction that AI can be applied to the management of education and teaching in colleges and universities to actively construct the AI ecosystem of higher education and innovate the application mode from the aspects of student management, faculty construction and teaching management. The application of AI will make the management level of education and teaching step on a new level.
Design of Smart Travel Management System Based on Cloud Service
Authors: Gao Fang , Li Liangyu 
Published: June 2020

Abstract
The design and implementation of the database is an important task in system development. Many information in the management of smart tourism needs to be saved and managed so that these data can be analyzed later. Therefore, in the process of designing the system, the original number of system requirements is analyzed, and the relationship between business entities is established. Combined with the relational database used by the system, E-R diagram drawing and data table implementation were performed.
Realization of Radar Signal Calibrator Based on FPGA
Authors: Jin Anzhong , Xue Shiyu , Jin Axin 
Published: June 2020

Abstract
In view of the shortcomings of pulse radar signals that are easily affected by internal and external conditions, a pulse radar signal calibrator is designed based on FPGA. The radar’s transmitted signals are pulsed by the calibrator in real time, and the radar signals can be calibrated by inversion analysis. At the same time, the functions of timing reception of the status information of each extension and saving of the collected data to the USB mobile hard disk are controlled by the host computer. After testing, the measurement accuracy error caused by the transmission path during the radar system’s working process can be calibrated by this radar signal calibrator, the accuracy of the radar system link is improved, and the accuracy of the radar system measurement is guaranteed. Therefore, it can be widely used in ground calibration equipment of pulse radar.
Research on the Application of Big Data Statistical Analysis in the Field of Economic Management
Authors: Wang LuQuan 
Published: June 2020

Abstract
Nowadays, the Internet and computer are becoming more and more popular in the society. People become the transmitter and receiver of information through the Internet. This way has changed the traditional life, work and study mode of human beings. With the continuous increase of data and information, its application value gradually increases. Researchers use big data statistics to help people manage their personal data. This paper analyzes the application of big data analysis in the field of economic management and makes the corresponding summary.
Big Data Analysis of the Ecological Environment in the Dianchi Watershed
Authors: Wang Hui , Song Jie , Tao Jun 
Published: June 2020

Abstract
To analyze the massive data on the ecological environment in Dianchi Watershed scientifically, understand its situation and dynamic trend over time, we plan to establish a feature-based four-dimensional space-time data model and build an integrated space-time database. The SuperMap map database is used to establish a space-time visual query and analysis system of the ecological environment information based on WebGIS with the B/S structure. The ecological environment information of the Dianchi Watershed is taken as the research object for scientific and comprehensive analysis and management of the ecological environment situation, thereby providing intuitive and reliable data information support for the decision-making of the ecological environment construction.
Development Path of Ideological and Political Education in Colleges and Universities from the Big Data Perspective
Authors: Tong SiSi 
Published: June 2020

Abstract
With the development of information technology and the growth of new media, the big data perspective is coming. A detailed introduction to the big data is performed in this paper, and the faced by the ideological and political education in colleges and universities are analyzed from the big data perspective. Combined with the above analysis, the specific reform measures are proposed to guide the teaching practice.
High-precision Solution of Differential Equations for Corporate Accounting and Financial Statement Based on Stochastic Galerkin Spectrum Method
Authors: Fan HongMei 
Published: June 2020

Abstract
Based on the high-precision guidance, the main high-precision points in each link of the supply chain in accounting and financial statements are analyzed systematically, and effective control activities are performed. It can significantly improve the quality of accounting and financial statements and enhance the forecast effect of accounting and financial statements on economic activities and the availability for decision-making, which allows economic activities to be carried out more orderly.
The Mechanism and Role of “Internet plus” in Promoting Medical Institutions to Achieve Social Governance -- Taking Medical Colleges in Qigihar as an Example
Authors: Tian Zhiwei , Li Xiangkun , Wang Shibo , Xu Bo , Ding Wanhua , Sun Yingchun 
Published: June 2020

Abstract
With the popularity and development of Internet technology in recent years, the public has attached more importance to the role of “Internet plus”, and Internet plus has provided technical platform for various industries. The purpose of this paper is to study the mechanism and role of Internet plus in helping medical institutions to achieve social governance by taking medical colleges in Qigihar as an example. First, it summarizes the basic concepts of social governance, and then analyzes the specific path of “Internet plus” to promote social governance construction. Combined with the Qigihar area, it analyzes the social governance system and mechanism construction. Finally, a questionnaire survey was conducted among 107 public in Heilongjiang. The results showed that the Internet plus student management module provided the main services for the students. The students could conduct the course management, document management, mailbox management, public forum, mail list management and so on through the module. The satisfaction degree of the “Internet plus” communication between doctors and patients in Qigihar medical college is 81.3%, the medical service coverage is 84.1%, and the access to medical services is 86.9%. “Internet plus” helps medical institutions achieve the role of management talents and service personnel.
Impact of Heterogeneous FTA on Service Trade in the Context of Smart Economy
Authors: Jiang Hao 
Published: June 2020

Abstract
With the development of information technology, artificial intelligence is more and more closely involved in our lives. And its main industry is service industry. This paper uses value-added data to explore the impact of heterogeneous trade agreements on a country’s export value-added. Using different measurement methods, with the help of Stata software. It is found that the establishment of free trade agreements in services among developing countries has a negative effect on the contracting countries, and the cooperation between the North-South type countries will significantly promote the value-added of service exports of the contracting countries.
Forecasting the 2019-ncov Epidemic in Wuhan by SEIR and Cellular Automata Model
Authors: Wang SiYou , Fang Hui , Ma ZhiHong , Wang XiuFen 
Published: June 2020

Abstract
Since December 2019, Wuhan has became an outbreak epicentre of the novel coronavirus pneumonia. This study inferred the epidemic spread in Wuhan, which is of great importance for government immediately deployed mitigation interventions. In view of the fact that the virus is infectious during the incubation period, we added new variables to the SEIR model. We used the data published by Wuhan government from Dec 8, 2019, to Feb 4, 2020 to forecast the spreading trend and the number of infected people, then simulated the results of different government control efforts by changing the control variables. Furthermore, we used mathematical formulas to infer the basic reproduction number, and then calculated the probability of the neighbor being infected at each time step, simulated the epidemic course of epidemic by using the cellular automata model. Our finding suggested that the epidemic outbreak earlier under the government’s powerful control measures and the outbreak period begin on mid-January, then reach a peak on the mid-February. The cumulative number of infections in Wuhan would be controlled at 58310. More importantly, The basic reproduction number is 3.13, which indicated that the virus is high risk. Simultaneously, the cellular automata model is very suitable for simulating the spread course after the public health interventions.
University Brand Asset Construction Based on Big Data and Meta-Analysis
Authors: Fang Huizi , Liu Yishu 
Published: June 2020

Abstract
Today’s education ecosystem is changing rapidly, and universities are facing high levels of competition and pressure. How to establish a brand to attract and retain students has become a top priority for colleges and universities. The concept of brand management sprang up in the 1980s. Establishing a brand in a university will be able to occupy a competitive advantage and be conducive to long-term management. Therefore, the concept of brand has gradually been valued and discussed by educational institutions. And the current research on education brand is booming. The purpose of this article is to study the construction of university brand assets based on big data and meta-analysis. This research will extensively collect academic papers on university brand equity over the years, collect relevant data to understand the effectiveness of university brand operations using survey methods, conduct meta-analysis, understand the influence of background variables and university brand equity, and explore the dimensions of university brand asset dimensions The relativity of factors is analyzed by rigorous mathematical analysis to explore the effect of each observation variable. The latter is analyzed by SEM to find a better factor structure of university brand equity. This paper analyzes the correlation between the four factors and finds that the comprehensive test has a significant effect. The six correlation coefficients of the four related variables range from 0.60 to 0.74. Standard judgment is used, which has a practical value of medium or higher.
Engineering Cost Information Management in Big Data Era
Authors: Li Zixuan 
Published: June 2020

Abstract
With the development of Chinese society, the era of big data and the increasing informatization, information and scientific systems have gradually formed in various fields and enterprises, but the process of improving company management has also received great challenges. Especially in the engineering cost industry, to comply with the requirements of the times, it is necessary to change the previous management method, but the era of big data has also brought new opportunities and opportunities to engineering cost management. The goals of the engineering cost industry, how companies can fully use the advantages of big data in engineering costs, solve related problems, and improve the overall social and economic benefits by means of data and information technology have become in-depth discussion questions. The purpose of this article is to study the problem of information management of engineering cost in the era of big data. By establishing a unified cost data collection standard on the basis of big data, the quality of data collection is improved, which facilitates the classification and processing of subsequent data, increases the source of data collection, and improves the quality of data. Improve the competitiveness of project cost management. Strengthen data mining and analysis, lower the threshold of data management, so that more project cost management staff can master. Based on the analysis of the needs of the platform, the frontline project cost personnel of the construction unit and the engineering cost consulting unit were the main survey objects, and it was found that most people have not worked for five years. And 62% of the engineering cost workers still get the latest project cost information from the project cost information journals and websites responsible for the cost station.
Research of ASME Standards Development Policy and its Enlightenment
Authors: Xu Qing 
Published: June 2020

Abstract
The standard developing policy of ASME is studied from the aspects of organizational structure, division of responsibilities, standard developing principle and standard developing procedures of ASME. In addition, it analyzes the characteristics of ASME standard developing process and its enlightenment to Chinese standardization work in order to give some enlightenment to social organizations who carry out standardization work.
Relationship Analysis of Resignation Cognition and Career Identity of Students Majoring in Editing and Publishing in the Context of New Media Technology
Authors: Yao Liya 
Published: June 2020

Abstract
Due to the impact of new media technology, the phenomenon of media personnel resignation is becoming more and more common, which weakens the career identity of local university students majoring in Editing and Publishing. The questionnaire survey was conducted among students majoring in Editing and Publishing in a university in Jilin Province. It was found that students’ career identity was on the upper middle level. There were significant differences among students of different genders and grades in their career identity. There was no significant difference in career identity between students with or without media experience and those with or without family members working in media. Based on the above results, three strategies are put forward to improve the career identity of students in this major: first, the cultivation of career identity should be closely linked with the industry; second, the cultivation of career identity should be student-centered; third, the cultivation of career identity should be incorporated into the target system of practical teaching.
Traffic-related pollutants in roadside environment of Yangon, Myanmar
Authors: Aung Win Yu , Noguchi Mayumi , Yi Ei Ei Pan Nu , Thant Zarli , Uchiyama Shigehisa , Win-Shwe Tin-Tin , Kunugita Naoki , Mar Ohn 
Published: June 2020

Abstract
Roadside environment is a key location responsible for increased exposure of traffic-related air pollutants to people who reside, work and commute on or near the roadside. Although increase in traffic volume and duration of traffic congestion has been significantly recognized in Yangon, research conducted on traffic-related air pollutants is very limited. In this study, we mainly focused on nitrogen dioxide and aromatic hydrocarbons of VOCs; benzene, toluene, ethylbenzene and xylenes collectively known as BTEX. Dffusive air samplers; DSD-CX for BTEX and DSD-TEA for NO2 were placed at seven sampling sites, S1-S4 located on heavy congested traffic roads of commercial areas and S5-S7 on fast moving traffic roads of residential ones. The BTEX concentrations were measured by gas chromatography/mass spectrometry and NO2 by ion chromatography. According to the findings, we concluded that roadside NO2 concentrations reflect the severity of traffic congestion currently encountered in the city. Sources other than vehicle emission could also have contribution to roadside traffic-related pollutants. Appropriate traffic managements and vehicle emission controls are urgently needed for reducing traffic-related air pollution.