bluuebunny/crossref_metadata_2025_split huggingface dataset:
Acupuncture and Moxibustion Treatment of Mild Cognitive Impairment Based on Data Mining
Authors: Yang Yuzhu , Yang Shuang , Ma Xunyuan , Yu Mei , Pan Jianli 
Published: April 2021

Abstract
Acupuncture and moxibustion therapy, as a traditional medical treatment method of the motherland, is widely used in the treatment of mild cognitive dysfunction, with remarkable curative effect, and is increasingly recognized by the medical community. However, so far, there is no acupuncture prescription and acupoint usage rules for acupuncture treatment of mild cognitive impairment. Therefore, it is of great significance to collect, organize and data mining related data in order to summarize the relationship between acupuncture points and mild cognitive dysfunction, and to provide references for clinical treatment. This article standardizes the acupuncture points in the database. This paper uses Excel and SPS software to carry out frequency analysis, cluster analysis and association rules, and draws the rules of acupoints, meridians, positions, frequency of specific acupoints, clustering of acupoints and compatibility. In this paper, the number of cases in the treatment group and the control group, the main acupoints and matching points of the acupuncture prescription, the treatment methods, the efficacy evaluation indicators, and the total effective rate of the treatment group and the control group are extracted into the Excel table to form a mild cognition of acupuncture treatment Prescription database for dysfunction. This article studies the rules and characteristics of acupuncture points derived from data mining, takes the general rules and characteristics of clinical acupuncture and moxibustion treatment as a reference for clinical acupuncture and moxibustion, and verifies it with the results obtained. The experimental results show that in the analysis of association rules, taking Baihui and Shenting as examples, the support degree indicates that the probability that the two acupoints appear in the 126 heads at the same time is 51.83%, and the confidence and support for the occurrence of Baihui and Shenting are relatively high. High, it is considered to be a common compatible point pair for acupuncture treatment of mild cognitive dysfunction.
Requirement Acquisition Method of Product Life cycle Based on HLDA Hierarchy Model under the Background of Web Technology
Authors: Xiao Yanqiu , Zhang Fudong , Cui Guangzhen , Yang Xianchao , Xia Qiongpei , Xia Yuanfei 
Published: April 2021

Abstract
Product requirement is the goal of product development and design activities, which originates from all stages of product life cycle. In the process of acquiring product requirements, there are some problems such as incomplete mining of product requirements and fuzzy structural expression. In view of the above problems, this paper proposes a product life cycle requirements acquisition method based on axiomatic design. Firstly, web technology is applied to collect requirements information, and based on HLDA hierarchy model, the requirements information is classified according to the whole life cycle stages of products; then, the product requirements mining model based on axiomatic design is established to mine the requirements of the whole product life cycle; finally, the product requirements model tree is structured and the product life cycle requirement model is established; This paper takes shield machine segment erector as an example to verify the effectiveness of the proposed product life cycle requirements acquisition method.
A Security Defect Diagnosis Method of Wireless Network based on Modal Symmetry Algorithm
Authors: Duan Xiaoxue 
Published: April 2021

Abstract
In order to enhance the security of wireless networks and enhance the ability of data acquisition, processing and transmission, the security defects of wireless networks are diagnosed based on the modal symmetry algorithm. According to the amplitude of the defective signals collected by wireless network sensors, the average value of the signals collected by the centrosymmetric sensors is linearly subtracted, and the asymmetric modal information and the asymmetric modal amplitude of the axial position of wireless networks are obtained. On the basis of the original defect vibration signal graded by variational mode, several eigenmode components are obtained, and then the ranking entropy of each modal component is calculated. The ranking entropy is input as eigenvector to support vector machine classifier to complete the classification and recognition of wireless network security defects. The experimental results show that this method can accurately diagnose the security defects of wireless networks in different locations. The more complex the wireless network is, the higher the accuracy of the diagnosis results is and the shorter the time consuming results are. After the defect diagnosis, the wireless network data acquisition, data processing and transmission capabilities have been enhanced.
Fault Feature Selection for Distribution Network
Authors: Wu Zhiqiang , Zhang Lizong , Yu Gang , Wang Ying , Huang Tao , Zhou Yanfang 
Published: April 2021

Abstract
For the connection of DGs in distribution network, the fault power flow is different from that in normal operation. Further, the size of the fault current is limited by the electronic components and greatly reduces. Therefore, fault detection, the protections and their coordination become very complex. Fault detection technology helps to achieve fault isolation and recovery, and plays an important role in distribution network control and operation. This paper proposes a data-driven fault feature selection method for distribution network. This method collects various electrical quantities during normal and short-circuit faults of the distribution network as a feature library, and uses the support vector machine-recursive feature elimination method for feature selection to remove redundant features. The optimized fault features can be used to fault detection for distribution network with DGs.
Challenges and Countermeasures of Translation Teaching in the Era of Artificial Intelligence
Authors: He Ying 
Published: April 2021

Abstract
The development of artificial intelligence has greatly improved the quality of machine translation (MT), bringing great changes to translation business and translation teaching in universities. At present, teachers and students of translation study do not have enough knowledge about the latest development of MT, and rarely integrate MT into translation practice. Outdated teaching methods and poor use of translation technologies fail to cultivate talents needed by the translation industry. The teaching of translation should make corresponding changes according to changes of practice in language service by updating teaching methods, incorporating MT and related translation tools and technologies into teaching, establishing a diversified translation evaluation system so as to further improve students’ post-translation editing ability and language competence.
Digital Protection of Hakka Condoms in Longnan Based on BIM and 3DGIS
Authors: Xiao Yinglin 
Published: April 2021

Abstract
In the BIM of digital protection of ancient buildings, in addition to providing three-dimensional information, it can also directly provide two-dimensional drawings for the restoration of ancient buildings, and visualize the repair process to preserve all stages of ancient buildings. Using the existing ancient architectural cultural heritage to make “clan” library, applied to architecture, BIM destroy the ancient architectural cultural heritage can complete the digital restoration of ancient architectural cultural heritage, BIM model not only supports the acquisition of ancient architectural geometric information, but also supports the management and preservation of attribute information. The combination of BIM and GIS, on the one hand, realizes GIS from outdoor to indoor, from macro to micro, and enriches the new generation of 3DGIS technology system; on the other hand, it enriches the application of BIM in the whole building life cycle. According to the list of the seventh batch of state key cultural relics protection units, there are 4296 national key cultural relics protection units, of which 1882 are ancient buildings, with 710 monuments and monuments.
Strategy of Building Perfect Campus Security Management Mode under the Internet Age
Authors: Yang Zhizhang 
Published: April 2021

Abstract
At present, many colleges and universities are building various information systems in order to improve the efficiency of campus management. Due to the frequent occurrence of campus security incidents, management organizations at all levels are demanding to strengthen management and improve campus security management through informatization. This paper mainly studies the strategies of constructing perfect campus security management mode in the era of “Internet +”. According to specific research requirements, this paper integrates J2EE technology to build the system architecture, such as network structure, architecture module, performance module, database operation and other aspects. Through the study of the system comprehensive testing, a series of functional testing and performance testing. The system realizes the refinement, digitalization, automation and mobility of campus security management, so as to improve campus security and provide support and data basis for campus information construction, talent reserve and information decision-making.
Optimal Analysis of Transmission Lines Using Ant Colony-Improved Matter-Element Extension Method
Authors: Liu Yuntian , Sun Jingqi 
Published: April 2021

Abstract
Traditional transmission line design often relies on human experience and is highly subjective. In order to realize intelligent transmission line route optimization, this paper relies on the established geographic information system platform, selects 119°14’50” east longitude to 119°17’56” east longitude, and 31°57’34” north latitude to 31°54’49 north latitude. For the rectangular area of”, first rasterize the area into a 20*20 grid according to the rasterization model, then enter the coordinates of the avoidance area, and optimize the shortest transmission line path according to the ant colony algorithm. Then based on the rasterized matter-element scheme, an improved matter-element extension evaluation method is used to comprehensively evaluate the feasible points around the matter-element node of each path, and the point with the best economic efficiency is selected as the transit point of the transmission line. Optimization of the entire transmission line. The results of the numerical example analysis prove that the method has a better auxiliary decision-making effect on the erection of transmission lines.
Optimization of Wisdom Classroom Teaching Resources Based on Visualization Software
Authors: Xie Xuelin , Xiao Meimei , Shen Jingfang 
Published: April 2021

Abstract
University classroom is the main place for classroom teaching, group discussion, students’ self-study and other activities. With the development of science and technology and the optimization of educational resources, traditional fixed desks and chairs cannot meet the needs of students’ discussion, so more and more colleges and universities adopt the design of movable desks and chairs. To date, most research has focused on schemes that design moving desks and chairs directly according to classroom capacity, but little consideration has been given to adjusting the classroom as long as the schedule remains the same. Combined with the classroom schedule of the first Teaching Building of Huazhong Agricultural University and the maximum capacity of the movable desks and chairs in each classroom, Tableau software is used for visualization analysis, and two ideal schemes are finally designed.
Big Data Collection and Object Participation Willingness: An Analytical Framework from the Perspective of Value Balance
Authors: Huang Xiang 
Published: April 2021

Abstract
The application of big data not only brings us great convenience, but also brings social problems such as big data “familiar”, information leakage and so on, which seriously affects customers’ willingness to participate and their satisfaction with the enterprise. How to collect customer information in order to improve customers’ willingness to participate is an urgent topic to be discussed. This paper proposes an analytical framework, which considers that the decision-making of big data objects participating in the big data collection process is a process of comprehensive value balance, including four types of CO creation, inducement, dedication and fishing, involving two dimensions of activity value and data value, and the necessity of procedure, activity value, information sensitivity, process complexity, data security and procedure From the six aspects of value judgment, this paper may provide useful enlightenment and reference for big data subjects to choose the target data collection method of big data application and improve the participation willingness of big data objects.
Partner Selection of Virtual Enterprise by Improved PSO with Dynamic Inertia Weight for Iterations
Authors: Zhao Junfeng , Huang Xinyi 
Published: April 2021

Abstract
PSO is easy to fall into local optimum, and has the defects of low convergence accuracy and difficult convergence. In order to solve this defect and improve the accuracy of the algorithm, the modified PSO algorithm by Geng is applied to solve virtual enterprise partner selection with normalization, by changing dynamically inertia weight for the number of iterations. Furthermore, for the particles with small fitness, a large inertia weight is set to accelerate the approach of particles like the optimal solution region. Finally, results of numerical example show that the search speed of improved PSO is faster than that of standard PSO, which indicates that adding dynamic inertia weight can greatly shorten the search time of the algorithm and accelerate the convergence.
Exploration and Analysis of University Scientific Research Data Management Strategies under Big Data Environment
Authors: Wang Wei , Zhang Xinhua , Shi Yabin , Gao Feng , Xu Wenpeng 
Published: April 2021

Abstract
From the perspective of the current big data environment, briefly describe the urgency of university scientific research data management, and use this as a basis to discuss the university scientific research data management strategy under the big data environment, and propose to conduct sufficient research on scientific research data management and pay attention to scientific research data Strategies such as dynamic management, strengthening the storage and security management of scientific research data, and enhancing the value of scientific research data results through publication and citation.
Application Analysis of Computer Information Science and Technology in Logo Design of Digital Era
Authors: Min Xiaojie , Gong Bei 
Published: April 2021

Abstract
With the development of society and the progress of human civilization, the application of science and technology in people’s daily production and life is becoming more and more extensive. The application of computer information science and technology in logo design of digital era has gradually become a development trend in the future. Signs generally have long-term use value, once established, they will not change easily. However, with the rapid development of this era, the design of modern signs needs to follow the development of the digital era to design. In order to better help the logo design of the digital era in the current era, this paper puts forward the method of applying computer information science and technology to the logo design in the digital era. Through in-depth study of the current status of logo design in the digital era, the process of logo design in the digital era is simulated, so as to formulate a set of logo design most suitable for the digital era in this era Methods of calculation. Through the analysis, the method proposed in this paper successfully provides a new development idea for the application of computer information science and technology in the digital era logo design.
Development and Practice of Cross Border e-Commerce Platform System Based on School Enterprise Cooperation
Authors: Chen Qingsheng 
Published: April 2021

Abstract
With the maturity of 5g technology and the development of science and technology. Since then, the Internet has begun to merge with all walks of life, and has created a thriving “Internet plus” economy. The most representative of the Internet plus economy is the e-commerce economy. With the characteristics of “cross-border integration, innovation driven, open and free, connecting everything, fast and convenient”, e-commerce economy has widely penetrated into the traditional manufacturing industry, logistics industry, education industry, government affairs and other fields, and has become the focus of the world’s development. Cross border e-commerce, as a new type of business in e-commerce economy, closely connects the global economy, but also becomes one of the main factors to measure the economic development of various countries. After cross-border e-commerce has become the mainstream of the market, the problems faced are the lack of e-commerce talents, unreasonable talent structure and so on. Based on the cross-border e-commerce platform of school enterprise cooperation, using literature review method and social survey method, cross-border online shopping consumers show an obvious trend of youth, and the proportion of users aged 25-35 is as high as 60%, The proportion of 18-24 years old and 36-46 years old was 13% and 17%.
Algorithms and Simulation Analysis of Optical Waveguide Devices to Generate Supercontinuum
Authors: Fang Yiming 
Published: April 2021

Abstract
With the development of the times, our life is becoming more and more intelligent. In this regard, we have also made great progress in the field of communication intelligence. But we still need optical wavelength devices to generate ultra-continuous spectromets that can be used in the field of communications. In this regard, the purpose of this paper is to study the optical wave guide device to generate ultra-continuous spectrum algorithm, and its simulation and analysis. The experiment in this paper begins after careful consideration of the security of user data and some trade secrets, and on the premise of experimental security, the accuracy of the algorithm is measured and simulated by using sandbox simulation based on computer technology. The experimental results show that the algorithm can increase the speed of ultra-continuous spectrum of optical wave guide device by about 50%. And in the simulation simulation application, the stability is good.
Application of Big Data Technology in Extracting Information Analysis of Traditional Chinese Medicine
Authors: Sun Jing , Meng Xinxin 
Published: April 2021

AbstractWith the advent of the Internet, big data has penetrated into all aspects of life. In such an environment, Chinese medicine needs not only inheritance, but also advance with the times, innovative thinking and technology. This article takes big data processing and analysis as the goal, and analyzes the application scenarios of big data in Chinese medicine analysis. The model adopts APRIORI algorithm and text clustering, which improves the application of big data technology in the analysis of information extraction of traditional Chinese medicine. The test results of traditional Chinese medicines show that the use of basic big data to process the data, combined with the K-Means text clustering calculation method, the scientific conclusions obtained in the medical and health industry application rate has increased by 18%, these conclusions provide a certain degree for Chinese medicine manufacturers Help to improve production efficiency and product quality. However, the basic large database of Chinese medicine in my country has not been established, which makes the use of big data unable to be fully implemented.
Analysis of Double Influence of Big Data on Public Crisis Management
Authors: Wu Haohan 
Published: April 2021

Abstract
With the rapid development of digital technology, the traditional governance methods have shown some defects in the decision-making of major public crisis events, and the application of big data can make up for the shortcomings of the traditional methods. This paper compares the advantages and disadvantages of big data in the application of public crisis management, analyzes the dual impact of big data on public crisis management, and analyzes the important role of big data in the future public crisis.
Intelligent development Trend of Traditional Weaving Production Equipment based on IoT and 5G Technology
Authors: Liu Jing 
Published: April 2021

Abstract
Chinese traditional weaving art has also made great progress in the new era, and has been loved by many people at home and abroad. However, due to various constraints, these traditional industries have not been further developed. In this era of rapid development, traditional industries will not shrink back. With the development of IoT and 5g technology, the traditional weaving industry will get a new round of development with the help of new technology. This paper focuses on the intelligent development trend of traditional weaving equipment based on IOT and 5g technology.
Urban Environment Evaluation and Analysis Based on Street View Image
Authors: Chen Jing , Wang Xiaoxuan , Wu Yujing , Shi Bing 
Published: April 2021

Abstract
The real and intuitive reconstruction of the city street scene can not only give the viewer an immersive feeling, but also serve as a way to display information. As a mass data, it also provides unique decision-making ideas for recording phenomena, discovering rules and predicting results. This paper proposes a green visual rate to measure the green apparent area of urban street trees. For complex urban street landscapes, the green apparent area index can well reflect the visualization degree of green area of street trees and urban environment under street scenes. Research to Skesfehervar, Hungary as an example, it carried out the street tree green apparent area calculation model test research in different characteristics of road sections, different street scenes under the authenticity and adaptability.
Design and Implementation of Quanzhou’s New Intelligent Tourism Management Platform
Authors: Shi Bingzhao , Lv Wei 
Published: April 2021

Abstract
In order to make Quanzhou’s tourism industry more intelligent and informatized, and to respond to the country’s policies call for the new industry model of “Internet + Tourism”, a new type of smart tourism management platform in Quanzhou came into being. The article first analyzes the development status of Quanzhou tourism, and then analyzes and introduces the platform’s overall design goals, functional requirements, tourist attractions information, hotel information and other main functional modules in detail, and finally completes the design and implementation of Quanzhou’s smart tourism management platform.