bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on the Application of BIM Technology in Computer Aided Architectural Design
Authors: Guo Yinli , Tang Rong 
Published: July 2020

Abstract
With the rapid development of China’s economy, the construction industry has entered a period of rapid development. The large-scale urbanization process has brought unprecedented demand for new buildings. BIM technology is an emerging engineering digital design method in the architectural design industry in recent years. By building an architectural information model, the comprehensive and comprehensive civil engineering design, related inspection and pipe network control can be realized. From the overview of BIM technology and the analysis of the characteristics of BIM technology, this paper analyzes the application of BIM technology in energy conservation.
Research on the Reconstruction of Human Resource Management Based on Computer Big Data and Artificial Intelligence Technology
Authors: Yuan Yitian 
Published: July 2020

Abstract
Where a company performs proper human resource administration in the management process, it can create an excellent working atmosphere, mobilize the enthusiasm of employees, allow employees to exert their creativity in the process, increase work enthusiasm, improve the overall work efficiency, thus promoting the sustainable development of the enterprise. Therefore, the managers of enterprises should seize the opportunities in the era of big data, carry out appropriate human resource management by using artificial intelligence technology under computer science, and take specific measures to improve the work efficiency of employees.
The Establishment of Financial Performance Evaluation Index System in Colleges and Universities Based on Computer Science
Authors: Sun Yong 
Published: July 2020

Abstract
The situation of financial performance is an important basis for evaluating the development level of colleges and universities, and the construction of financial performance evaluation index system related to it has also become the focus of people’s research. At present, although our country has made some breakthroughs in the construction of the financial performance evaluation index system of colleges and universities, there are still deficiencies in many aspects, which seriously restricts the improvement of the comprehensive development quality of colleges and universities. Therefore, this paper analyses the problems existing in the financial performance evaluation index system of colleges and universities, and expounds the importance of computer science and technology in the construction of the financial performance evaluation index system of colleges and universities. On this basis, this paper constructs the financial performance evaluation index system of colleges and Universities Based on computer science and technology, and puts forward the analytic hierarchy process of the evaluation index integrating computer technology, which provides a solid theoretical support for the evaluation of financial performance of universities and the improvement of the level of running schools.
Network Big Data Mining Algorithm Based on Association Rules of Computer Technology
Authors: Jiang Yufang 
Published: July 2020

Abstract
With the development of cloud computing, it has provided a platform for big data presentation and sharing. These data often contain artificially added uncertain factors to prevent privacy leaks. How to perform mining of these big data is a problem to be solved urgently in big data sharing. In the big data for sharing, it is implemented through the generalization process of precise data, with the feature of uniform distribution, which is not conducive to exact query, but it can provide convenience for the mining of association rules. Firstly, based on the possible intersection or inclusion relationship, hierarchical clustering is performed on the generalized values. To save the essential information related to big dataset mining, we proposed an algorithm for building an uncertain frequent pattern tree. An improved algorithm of network big data mining based on association rules of computer technology is proposed in the big data environment, and its application in landslide monitoring and early warning is discussed.
Analysis of the Differences in the Presentation Forms of Artistic Design Based on Computer and Hand Drawing
Authors: Li Yunfei 
Published: July 2020

Abstract
With the high popularity and extensive application of computers, computer renderings can meet the market demand and conform to the development trend of the times. Hence, they are so widely used in the design market for communication that designers may ignore the existence of hand-drawn renderings to some extent. However, after several years of vigorous development, when we began to review the renderings in the design calmly, we found they have their respective strengths and weaknesses. Neither should be ignored, but they should be combined instead. Computer drawing has accounted for an increasing proportion of the design field. However, hand-drawing still has its irreplaceable features. Based on their respective features and design process, the differences in the forms of presentation between hand drawing and computer drawing can be reasonably analyzed to fully exert their respective roles.
Application of Computer 3D Animation Technology in Construction Industry
Authors: Guo Zaozao 
Published: July 2020

Abstract
Nowadays, 3D technology can be used to simulate and create a simulated virtual scene and present objects in the real world to people in an all-around manner. This technology can play a significant role in various fields. It is still quite challenging to create a virtual environment similar to reality, and one of the challenges is represented the virtual construction industry system. In this paper, the 3Dmax modeling software is used to establish a 3D model of the campus library and add some roaming animation for an all-around demonstration. Animation production mainly includes the modeling of teaching buildings, the production of materials, lights, animation paths, the use of cameras, the final animation rendering output, and the postproduction processing of animations with the video editing software premiere cs6.
A Matrix Headlamp Design Based on Artificial Intelligence Controller Control
Authors: Li Jiang 
Published: July 2020

Abstract
In recent years, with the progress of technology, the requirements of lighting in various fields are getting higher and higher. Matrix headlights break through the shortcomings of traditional headlights and show greater application advantages. The purpose of this paper is to promote the wide and good application of matrix headlights by deeply studying the design of matrix headlights controlled by the controller based on artificial intelligence. This paper first introduces the concept and advantages of matrix headlights, and introduces the main algorithms of artificial intelligence in the design of controller control matrix headlights. Then, on the basis of the application design experiment, the specific design idea is explained in detail, and finally, the design method proposed in this paper is tested and analyzed. The experimental results show that compared with traditional headlamps, the energy consumption of matrix headlamps is reduced by about 16%, the regulation rate is increased by 34%, and the illumination rate is increased by 12%. The matrix headlamp designed in this paper not only effectively reduces the energy consumption of the headlamp, but also improves the regulating effect and lighting effect of the headlamp.
Based on the Network and Information Technology, the Actual Performance Evaluation System of Heavy Metal Removal Biomass Materials in Water Was Developed
Authors: Liu Miao 
Published: July 2020

Abstract
With the rapid development of information technology such as big data, Internet of things, cloud computing and artificial intelligence, the combination of advanced technology has become an inevitable trend of biochemistry development at the present stage, and also brings new opportunities for the development of this field. In order to better combine information technology with biochemistry, this paper established an evaluation system for the actual performance of heavy metal biomass material in water removal, and systematically studied its adsorption mechanism. In this paper, 12 kinds of adsorbents of primary materials, carbon black materials and modified materials were prepared by crushing, charring and modifying four kinds of biomass, namely rice stalk, wheat harvest, corn and rice and peanut shell. The adsorption of Cu by these 12 adsorbents was studied. Combined with information technology, the use of scanning electron microscopy (sem) analysis, specific surface area and adsorbent for the characterization of infrared spectrum analysis and study, adsorption time, pH, adsorbent additive quantity, temperature, ionic strength, competition from Cd adsorption effect on the adsorption effect, build the evaluation system, in the end, to evaluate the material removal efficiency of the experiment efficiency, are all over 92%, which is beneficial to the combination of information technology and biological chemistry development.
Bronze Culture Image Recognition System based on Artificial Intelligence and Network Technology
Authors: Wang Mixiao 
Published: July 2020

Abstract
The construction of image recognition system is inseparable from the development of computer network technology and artificial intelligence. Although the previous large-scale integrated circuit technology has made amazing achievements, it still cannot directly perceive the sound, image, text and other information. With artificial intelligence and modern network technology to open up new achievements in this research field, it is particularly important to carry out the research of image recognition system. The bronze culture and art of the Chinese Bronze Age are the crystallization of the wisdom of the ancient Chinese labouring people and a precious heritage our ancestors left us. How to preserve these precious cultural heritages with the means and methods of modern science and technology is a necessary process to further understand the time-honored characteristics of the Chinese nation. This paper will carry out the research from the Angle of modern artificial intelligence network technology integrating art, and strive to depict and preserve the colorful bronze culture systematically and comprehensively. This paper tries to construct a set of bronze cultural image recognition and management system, so that most users can realize the appreciation and management of ancient culture in a modern way through the intervention of artificial intelligence and network technology.
Application of Computer Data Mining Technology in the Analysis of Emotional Law
Authors: Zhang Shuyue 
Published: July 2020

Abstract
In recent years, with the in-depth development of the Internet, computer data mining technology has gradually matured, social networks have been integrated into people’s daily lives, and more and more Internet users have expressed their personal emotions and commented on social hotspots on social networks. In this regard, social network public opinion analysis plays a vital role, and has attracted widespread attention from academia and industry. In order to better excavate Weibo users’ opinions and ideas on social events, and track the development of the events, it is more conducive to the work of public opinion monitoring and rumor control. This paper expounds the research status of data mining and the current situation of psychological problems of college students. It introduces computer data mining technology into the analysis of college students’ emotional regularity, and introduces the concepts, functions, technologies, methods and processes of data mining. This paper proposes a clustering method based on the characteristics of the semantic recessive sentiment of frequent itemsets, which fully considers the implicit sentiment regularity of semantics in Weibo. Firstly, we define the frequent feature word set of Weibo based on the characteristics of dominant sentiment, and use the maximum frequent items. Clusters to obtain initial clusters of regular emotions; for text overlap between initial clusters, an inter-cluster overlap reduction algorithm based on short text extended semantic membership is proposed to obtain completely separated initial clusters; based on cluster semantic similarity matrix, agglomerated emotions are given Regular clustering method. Finally, the validity of the text method is verified by the training corpus data provided by the NLP & CC2013 evaluation. It can be known from the test results that when the minimum support degree θ of the cluster is 0.5-0.6, the clustering effect of the analysis of sentiment regularity is better.
Numerical Control Machining and Manufacturing Technology Analysis of Mechanical Die Based on Computer Data Control System
Authors: Wang Zhenhua , gYin Haifan 
Published: July 2020

Abstract
In recent years, with the development of science and technology, computer numerical control machining and mechanical mold manufacturing technology has also had a great development[1].Higher requirements are put forward for mechanical die, such as structure complexity, profile complexity, material hardness and precision.In the mold manufacturing, the machine mold numerical control machining technology has the extremely important function.This paper analyzes the machining and manufacturing technology of machine mould by computer numerical control and its application in manufacturing.Finally, the development trend of CNC machining technology for mechanical die is analyzed.It is hoped that the research of this paper can promote the application of nc machining technology in die manufacturing industry.
The Teaching Model Reform of Advanced Financial Accounting Course Based on Quality Model of Computer Aided Technology under OBE Teaching Concept
Authors: Hu ZhuMei 
Published: July 2020

Abstract
Achievement education (OBE) is a hot topic in college education research.It is an educational concept that organizes, implements and evaluates education based on students’ expected learning outcomes.It is of great practical significance to study the teaching mode reform of higher financial accounting course under the concept of OBE.This paper first introduces the teaching connotation of "advanced financial accounting" under the OBE teaching mode, then analyzes the reconstruction of "advanced financial accounting" under the OBE teaching mode, and finally puts forward the reform strategy of "advanced financial accounting" teaching mode based on the OBE teaching concept.
Interpretation of the Paths Used in Aerobics in Colleges and Universities under the Background of Big Data
Authors: Liu Jun , Huang DeYi 
Published: July 2020

Abstract
Sports is an important measure proposed by our country to enhance people’s physical fitness. In order to improve the overall level of aerobics in colleges and universities, it is necessary to strengthen aerobics teaching, analyze the current situation of aerobics teaching in colleges and universities, and make full preparations for improving the overall level of aerobics for college students. In the context of the era of big data, micro-courses, as a modern teaching method, have a broad application space in college aerobics teaching. This article takes the design and application of a miniature aerobics teaching platform under the background of big data as the research object. Use HowNet’s keyword search method to find the application path of big data, aerobics and micro-teaching in universities. From the perspective of the main body of the system, teachers can make micro courses, and teachers can also arrange tasks for students so that students can integrate the corresponding knowledge content. Use the overall data concept to propose an online public course content optimization mechanism, sharing mechanism and talent training mechanism. Big data thinking provides a new perspective and ideas for the construction of aerobics online open courses. The purpose is to improve the teaching quality of aerobics courses and the quality of aerobics training.
Application of Intelligent Laser 3d Visualization Technology in Mobile Terminal (Mobile APP)
Authors: Li Tingjian , Su Guolei , Jiang Cheng , Wu Delei 
Published: July 2020

Abstract
Nowadays with the rapid development of mobile terminal, mobile terminal almost completely replaced the various network of our traditional basic life mode, all kinds of network application, people no longer simply need to appreciate the music, games, film and television network, but more needs to be involved in information exchange and sharing all kinds of social activities. The research of 3d image visualization technology is a comprehensive advanced technology which focuses on computer image data processing and image information display. The research purpose of this paper is mainly to provide better Suggestions for the continuous optimization of 3d image visualization technology through the research and application of intelligent laser 3d image visualization technology in mobile APP. This paper mainly analyzes the development of 3d visualization technology in the main application fields and the current status of operation and maintenance system management technology of mobile terminal APP products, and visualizes the product operation and management status of various popular mobile apps on the mobile Internet in 3d. Then, from the current mobile online music APP the application domain of a system verification, the results succeeded in statistical analysis and filter the background user 3 d data volume, its operational efficiency than the daily operational efficiency increased by 30%, background proved that using 3 d data visualization technology can effectively improve the working efficiency of the system and the background, thus effectively improving the efficiency of background management.
Laser Point Cloud 3D Visual Intelligent System Based on B / S Architecture
Authors: Zhang Xinghua , Huang Heyan , Jiang Cheng , Tan Hongwu 
Published: July 2020

Abstract
In the mid-1990s, the ground laser scanning technology based on B / S architecture began to be widely used in modeling various complex scenes and spatial entities. The massive point cloud data based on the B / S architecture collected by this technology is an important source of information in the three-dimensional space coordinate system, and plays an important role in marine survey, geographic information system, and digital city construction. To this end, how to use the existing computer processing capabilities to efficiently organize and index massive point cloud data and more quickly and accurately complete the three-dimensional visualization modeling of point cloud data has become an important research topic. This paper proposes a "Hilbert-Improved Quadtree" structure to organize point cloud data. In this structure, the node order of the improved quadtree is changed, so that the node order obtained by traversing the quadtree in the middle order completely conforms to the characteristics of the Hilbert curve. Reorganizing the point cloud data based on the B / S architecture in this order can effectively reduce the number of I / O interactions performed by the computer when reading massive point cloud data based on the B / S architecture, and improve the spatial index efficiency of the point cloud data; At the same time, the Hilbert curve is used to reorganize the quadtree to convert single-resolution data into multi-resolution data. At the end of this paper, how to use existing computer resources to more efficiently process massive point cloud data based on B / S architecture Outlook.
Design Technology of Distance Teaching Platform for Ideological and Political Education Based on Information Technology
Authors: Zhang Xiuting 
Published: July 2020

Abstract
Ion technology on people’s work and life is increasing, and people’s thinking and behavior have also changed greatly. In this context, the integration of information technology and ideological and political education has gradually become an inevitable development of education and teaching. But it also brings unprecedented challenges to ideological and political education in colleges. Focusing on the goal of encouraging ideological and political work with information technology, enhancing the sense of the times and attractiveness, actively exploring the use of information technology to promote the development of ideological and political work, research and innovation. Using modern information technology to support ideological and political education, this new carrier promotes The innovation of ideological and political methods is an important and urgent practical issue. In order to promote the development of political education, this article will use information technology to study the distance teaching platform of ideological and political education. The platform is designed using Web technology. Questionnaire surveys and interview methods An empirical study was conducted in combination. It went deep into schools and colleges, and worked with students and school ideological and political workers. A total of 980 questionnaires were collected. The experimental results show that the choice of ideological and political distance teaching platform can reach 84.3% of students. Therefore, through the research in this paper, a targeted distance learning management system is designed, which can provide reference and help for network distance learning.
College Students’ Innovation and Entrepreneurship Simulation System Based on Virtual Reality Technology
Authors: Guan Yong 
Published: July 2020

Abstract
The rapid development of modern information economy and the ups and downs of mass entrepreneurship have put forward higher requirements for innovation and entrepreneurship education. In view of the current situation and shortcomings of innovation and entrepreneurship education, a virtual city system based on virtual reality technology is proposed as a practical training platform for college students’ innovation and entrepreneurship. The platform provides basic functions such as resource supply, production, management, and consulting services. College students, as citizens of a virtual city, engage in various creative, production, and management activities. Teachers guide college students’ innovation and entrepreneurship activities in accordance with the goals of urban development. Based on this, a series of courses have been developed to systematically train university students’ innovative and entrepreneurial abilities. This paper mainly studies the simulation system of college students’ innovation and entrepreneurship based on virtual reality technology. This article has conducted simulation research on virtual reality innovation and entrepreneurship of Chinese college students, and conducted data surveys. The amount of science and technology talent introduction and cultivation has increased, but the growth rate is slow and the number of R & D personnel is relatively small. There are 700,000 technical personnel, including 9,000 scientific and technological activity personnel, and only 7,000 R & D personnel. By 2019, the number will increase to 980,000 professional and technical personnel, 198,000 scientific and technological activity personnel, and 150,000 research and development personnel. However, the overall growth rate has slowed down, and the number of R & D personnel has been relatively small.