bluuebunny/crossref_metadata_2025_split huggingface dataset:
Application Research on the Integration of Civil Engineering and Computer-aided Building System Based on the Development of BIM
Authors: Liu Bing 
Published: April 2021

Abstract
Building informatization and industrialization are mutually advancing in the development process. After BIM technology is widely used in the construction industry, the modeling functions of BIM include standardized components for building building models, “error and leakage collision” inspection, and simulation simulation construction. These functions are in Building industrialization has great advantages in the construction process of prefabricated buildings, especially the standardized design process in the engineering project design stage, which helps to vigorously promote the standardized construction. There is a certain correlation between the improvement of civil engineering construction quality standards and the background of intelligent development. People are more concerned about the quality of engineering projects, and social publicity has been reached for the safety and green environmental protection of buildings. It is imperative to realize technological innovation in civil engineering. The fusion technology of civil engineering technology and computer-aided building system combines building technology, civil engineering technology, control technology, etc. with computer support systems to develop a new type of intelligent building technology. The integration and application of civil engineering and computer-aided building systems are highly valued by the country, which will lead the development direction of the wood construction industry. For colleges and universities, the research and study of the integration and application of civil engineering and computer-aided building systems not only puts forward new requirements for student learning, but also provides new ideas for the direction of employment, and at the same time has a deeper understanding of the relevant research system of universities change. The article mainly explains the working principle of BIM, based on the BIM development background and the integration advantages of civil engineering and computer-supported building systems for specific applications in construction projects, with the goal of promoting the further development and popularization of this technology.
Intelligent Environment System Based on CIM
Authors: Wang Jianyu , Sheng Xing , Dong Yingnan 
Published: April 2021

Abstract
The construction of smart city has added a lot of charm to our country, and has been paid attention to by everyone, but there are still environmental pollution problems. The emergence of urban information model technology (CIM) makes the construction of three-dimensional composition combined with environmental perception to solve this problem. In this paper, the intelligent environment system based on CIM is studied, which is based on the requirements of intelligent environment system. Starting from the basic content of CIM, the smart city construction and CIM technology are combined, and the architecture of CIM intelligent environment system is established through data collection, wireless communication, micro processing and other aspects. Aiming at the non-uniformity of the system itself and the inaccuracy of the temperature measurement distance, the error caused by the temperature perception of the furnace wall is corrected. The Kalman filter algorithm is used to eliminate the noise and redundancy, and the accuracy of the collected data is improved. The experimental results show that the system can monitor the environmental problems intelligently in real time, and the accuracy rate is as high as 89.38%. It can effectively monitor environmental changes and prevent large-scale environmental pollution.
Tuberculosis in Epidemic Prevention and Control Based on Big Data Technology
Authors: Tan Jiao , Ma Yonghong , Men Ke , Lei Jing , Zhang Hairui , Feng Yancheng 
Published: April 2021

Abstract
Tuberculosis has been a serious threat to the health of people in all countries for many years. This study mainly explores the application of tuberculosis in the prevention and control of epidemics based on big data technology. First, collect data on tuberculosis epidemics. Tuberculosis epidemic information according to the statutory infectious disease reporting system in the China Disease Prevention and Control Information System, case data of reported cases of tuberculosis in mainland China in the past three years was collected according to the review date. Next, collect map data and statistics of demographic data. Finally, clean and organize the data. Check whether there are outliers, duplications, missing and logical errors in the case data, and unify the units of the variables. The reported incidence rate was the highest in the third year and the lowest in the first year, which were 104.90 cases per 100,000 and 71.89 cases per 100,000, respectively. The number of reported cases in the three years was basically similar to the reported incidence rate. This research will effectively improve the accuracy of tuberculosis diagnosis and provide decision support for tuberculosis diagnosis.
Research on the Classification and Selection Strategy of Physical Education Teaching Model Based on Modern Information Technology
Authors: Shigang Xu , Sheng Wang 
Published: April 2021

Abstract
Because the future education of the information age has the characteristics of creativity, diversity, flexibility, and individuality, backward physical education methods and closed teaching models can no longer meet the needs of future education. The information environment has greatly impacted traditional sports In teaching, the closed teaching mode is “using classrooms and sports fields as the environment, teachers as the center, and low-media teaching materials as tools”. Based on this, this article puts forward a research on the classification and selection strategy of physical education model based on modern information technology. This article will focus on the analysis of the classification and selection of the physical education model, and put forward guiding strategies, and compare the information technology-based physical education model with the traditional physical education model. Studies have shown that the use of modern information technology can optimize the basic conditions of physical education, allowing teachers and students to effectively share information technology-based physical education resources, and better meet the actual demands of students for independent learning and physical exercise; not only to develop students’ physical skills With interest in learning, physical education can move towards a higher quality, and it can also improve the pertinence of physical education and physical training, which has important practical significance for the development of personalized physical education and the improvement of students’ physical quality.
Study on Economic Growth Calculation Method Based in Big Data
Authors: Xia Tiantian , Lin Xiaoying , Wang Hui 
Published: April 2021

Abstract
In this study, firstly, the qualitative analysis of big data industry statistical classification system is carried out, and the idea of quantitative verification of big data industry statistical classification system is proposed, so as to determine a scientific and reasonable big data industry statistical classification system. Secondly, the input-output table of big data is compiled. Especially for the “non pure” big data industry sector size measurement. Finally, the contribution of big data industry to economic growth is deduced.
Application Research and Analysis of Geographic Information System in Intelligent City Surveying and Mappinge
Authors: Shan Xiaoli , Wang Yuanyuan , Dong Mingyu , Xia Jie 
Published: April 2021

Abstract

With the rapid development of information, the development of geographic information system (GIS) is also very rapid, and the development of information has laid a solid foundation for geographic information. In the process of practical application, geographic information system has obvious advantages compared with traditional surveying and mapping technology, which can reduce the influencing factors of external environment and has strong anti-interference ability. Establishing and perfecting the information surveying and mapping system is of great significance to the healthy and orderly development of society. In the surveying and mapping of smart city, as a kind of pre construction scanning positioning system, GIS has high measurement accuracy and data processing ability, so it is paid more and more attention by construction enterprises and construction enterprises in urban construction. In this context, this paper discusses some functions of GIS, analyzes its application in Intelligent City Surveying and mapping, which makes GIS more widely used.
Research on Information Construction and Management of Education Management Based on Data Mining
Authors: Zheng Changbao , Zhou Wenrui 
Published: April 2021

Abstract
With the continuous expansion of college enrollment, education has become flexible and diverse. Most colleges and universities are facing the contradiction between the sharp increase in the number of students and the increasing shortage of teaching resources, which has brought unprecedented challenges to education management. More and more teaching resources are pouring into higher education, and at the same time, strict requirements are put forward for higher education management. Data mining technology improves the application of data from low-level query operation to higher-level applications such as decision support, analysis and prediction. How to use information technology to serve the school management and decision-making better and more effectively has become an important symbol to measure the teaching management level and school strength of colleges and universities. The popularization and application of data mining technology is an exploration of informationization of teaching management in colleges and universities under the new situation. This paper summarizes the definition of data mining technology, analyzes its application methods and key points, and further studies and discusses the application of data mining technology in the informationization of teaching management in colleges and universities, in order to promote the development of education.
Path Analysis of University Education Management Based on Big Data Technology
Authors: Huang Jingying 
Published: April 2021

Abstract
Management is also productive. In a way, management is more important than other elements. Education and management of big data is a new stage in the development of higher education management. We can find value through big data. Big data makes universities adopt a more intelligent way to stimulate and produce new wisdom. There are fundamental differences between big data in university education management and big data in the business field. The big data in Colleges and universities take the correlation relation as the breakthrough, finally seeks the special correlation relations. The use of large data, cloud computing and Internet of things technology is an important tool and basis for higher education to improve the efficiency of running a school and to promote the transformation of higher education management from incremental development to quality development. At present, there are not many systematic research results on the combination of big data and university education management in the academic field, and the depth and breadth are not enough, and there is also lack of specific empirical research.
Key Technologies of Large Data Stream System
Authors: Zhang Dong 
Published: April 2021

Abstract
In general, a large number of data streams are regarded as a continuous, continuous and infinite data series. It is used in network monitoring, sensor network, aerospace, meteorological measurement and control, financial services and other fields. Stream computing has the characteristics of large data scale, continuous, fast and disordered data arrival, easy data loss and diverse data processing. In view of these characteristics, there are new challenges in resource scheduling, data distribution and fault tolerance in task management of flow computing. This paper uses multi-layer Association big data rules to process the data wheel. The experimental results show that compared with the traditional task management method, the proposed method can provide the efficiency and accuracy of task management.
Segmented Translation Algorithm of Complex Long Sentences Based on Semantic Features
Authors: Shi Yu 
Published: April 2021

Abstract
The progress of the times is inseparable from communication. If a country wants to develop well, it must learn from each other. Accurate language translation can better let people understand what they want to express. Therefore, language translation is becoming more and more important in the current social communication. Although there is a lot of research on translation, in many cases there will be inaccurate translations. Therefore, finding an accurate translation method is what many people need. Aiming at the problem that the translation of complex long sentences is prone to errors, this paper proposes a sentence segmentation algorithm, which is a method of dividing the long sentence into multiple independent clauses and then translating it. The segmentation algorithm uses the semantic features of the Concept Hierarchical Network (HNC) theory to segment clauses. The segmentation algorithm is integrated with a rule-based baseline translation system. The BLEU value of the integrated translation system reaches 0.1898, which is higher than that before the integration. The system has increased by 30%. Experimental results prove that the proposed method can effectively improve the effect of patent translation.
Correlation Analysis of Influencing Factors of Labor Education Level Based on Neural Network Model
Authors: Yuliang Lu 
Published: April 2021

Abstract
Based on the neural network model, this paper analyzes the correlation of influencing factors of labor education level. This paper compares the income changes of 23-30-year-old workers before and after receiving labor education and the changes of income influencing factors. The results show that the new labor market and the whole labor market show a trend of differentiation before and after education. In the background of the increasing role of the whole labor market education into income, the “value” of the education of the new labor force has declined. Among the various factors that affect the income of the new labor force, some of the education types with the same education level are greatly affected by the negative impact. Gender and work area play a more prominent role, while work experience and other factors have no significant correlation with income. The results have a certain reference value for the correlation study of influencing factors of labor education level.
Research on the Application of Computer Technology in the Field of Art under Big Data
Authors: Zhang Xuelin 
Published: April 2021

Abstract
With the continuous expansion of the field of computer application technology in today’s era, all aspects of life are closely related to the application of computer technology, and people’s work and daily living do not leave the help of computer technology. Therefore, the widespread use of big data has prompted a large number of industries to innovate the methods of computer technology. Computer technology also has an indispensable position in the field of art. The convenience of computer technology operating system greatly improves the efficiency of production and design of works of art. In the process of processing graphics, computer technology makes the work more perfect through the later processing of works of art. This paper summarizes the advantages and concepts of computer technology, and introduces the application of computer technology in different fields of art under big data in detail
The Application of Computer Cartography in Interior Design
Authors: Deng Jun 
Published: April 2021

Abstract
With the continuous development of science and technology, computer software and network information technology are also developing, computer graphics technology has been widely used in various fields. With the continuous improvement of people’s living standard, all kinds of interior design emerge in endlessly, and the quality requirements of interior design have gradually changed. More and more design institutions use computer technology to improve the contents of interior design, so as to continuously improve the quality and efficiency of interior design, and make interior design more standardized and scientific and technological. This paper introduces the computer drawing technology and the concrete application and method in interior design, in order to improve the working method, improve the level of interior design and realize the leapfrog development of interior design in the future work and life.
Research on the Application of Computer-Aided Software in Interior Design
Authors: Yi Lu 
Published: April 2021

Abstract
Computer network technology brings people a cross-epoch change. The computer has changed from a behemoth to a small object that is now easy to carry; from the beginning, the computer can only be used for computing, and now it can search for all kinds of information in the network, not only to calculate any questions, but also to shop directly on the Internet. The development of computer technology also promotes the continuous updating of computer aided software. It is because of the emergence of computer-aided software that the traditional way of interior design has changed obviously. Computer aided design makes interior design more convenient and fast. This paper introduces several common computer-aided software and analyzes the application research measures of computer-aided software in interior design.
Scheduling Optimization for Batch Processing Machines Using Advanced Genetic Algorithm
Authors: Wang Yimeng 
Published: April 2021

Abstract
Semiconductor manufacturing is widely recognized as one of the most complex production processes today, with a great deal of batch processing equipment scheduling problems. At the same time, more and more research and efforts have been made to optimize the process of decision making in scheduling batch processing machines. Based on previous studies that often combine machine learning algorithms with practical production applications, this paper provides a new approach to the scheduling process using an advanced genetic algorithm. Specifically, this paper offers an algorithm concerning both productivity and efficiency, provides the specific steps of the algorithm. Finally, a few possible future directions for the algorithm are discussed.
Evaluation Method of Pipe Corrosion Based on the Natural Frequency I: Corrosion of external surface of pipe
Authors: Chen Yonghong , Ming Tingtao , Shen Bin , Luo Wengye , Wang Han , Zheng Yiting 
Published: April 2021

Abstract
All Corrosion destroys the continuity of the pipe and has an impact on the mechanical properties of the material. It is very important to evaluate the corrosion state of pipe. Based on the damage of corrosion to the mechanical properties of materials, the mass loss factor of corroded pipe is defined, and the elastic modulus of pipe materials is equivalent. According to the modal analysis theory of elastic materials, a modal analysis model of corroded pipe was established, and the relationship between the modal of the corroded pipe and the mass loss factor was analyzed. The results indicate that it is effective and feasible to equivalence the elastic modulus of corroded pipe, at the same time, the model can be used to evaluate the corrosion rate of corroded pipe by monitoring and analyzing the modal.
The Multi-Task Deep Model-Based Pneumonia Detection
Authors: Ai Xingfang , Li Zhongliang , Cao Min , Li Xuechen 
Published: April 2021

Abstract
As a common lung disease, pneumonia affects millions of people worldwide each year and is often detected during physical examination using chest X-ray images (CXRs), which are usually diagnosed by radiologists. This time-consuming task often leads to fatigue-based diagnostic error and cannot be performed in countries or areas lack of radiologists. In this work, we proposed a multi-task learning model: Mt-pnet. We learn from the experience of imaging doctors in the diagnosis of pneumonia, let the network pay attention to the patient’s gender and age information in the diagnosis of pneumonia. The combined information is helpful for the network to learn robust image features for pneumonia diagnosis. At the same time, we also found that using multi-task model is helpful to improve the recall of patients with pneumonia, which has important clinical significance.
Research on Hierarchical Clustering Method of Urban Rail Transit Passengers Based on Individual Portrait
Authors: Xue Jingwen , Si Bingfeng , Cui Hongmeng , Zhu Shiguang 
Published: April 2021

Abstract
The travel behavior of urban rail transit passengers has spatial-temporal differences, which increases difficulties of accurately grasping the evolution of passenger flow and achieving accurate short-term travel forecasts. Therefore, it’s particularly significant to deeply analyze passenger travel spatial-temporal characteristics and to achieve refined passenger classification. Using the AFC data of the urban rail transit system, this paper focuses on the construction of individual travel spatial-temporal portraits. An improved DBSCAN-based method for extracting individual travel spatial-temporal characteristics is proposed, and Python software is used to realize the visual drawing of individual portraits, so as to dig out potential passenger travel rules. Furthermore, a hierarchical clustering method of passengers based on individual portraits is proposed, and the quantified extracted individual travel feature values are clustered through the two-step clustering method, and the refined classification of passengers is realized layer by layer. Finally, the passengers are divided into four categories: definite passengers, flexible passengers, random passengers and one-way ticket passengers. The rationality and accuracy of the classification results are verified from multiple angles. The study clarifies the travel spatial-temporal characteristics of different types of passengers, improves the objectivity of passenger classification, and lays the foundation for short-term travel prediction.
Improved N - Best Multiple Hypothesis Tracking Algorithm
Authors: Li Yong , Xing Xiabin 
Published: April 2021

Abstract
In the tracking process of the multi-hypothesis tracking algorithm, many hypothesis are made about the correlation between the track and the measured values. Although its tracking performance is better than other tracking algorithms, it needs a lot of computation time and memory resources when tracking multiple targets or in environments with large clutter due to exponential growth of hypothesis. In view of this situation, an improved N-Best algorithm is proposed to be applied to MHT. The simulation results show that this method can reduce the computation time and realize the track correlation, so it has certain practicability.