bluuebunny/crossref_metadata_2025 huggingface dataset:
Design and Practice of Cloud Platform for Online Music Courses Based on the Mobile Internet Era
Authors: Peng Yajie
Published: April 2021

Music is a subject of humanities and arts. It uses practice, observation, and exploration as the main learning methods to cultivate students’ music literacy through independent or cooperative learning. In music teaching, the application of the mobile Internet-based personalized learning teaching model can not only optimize classroom teaching, but also increase students’ interest in learning music. The theoretical value and practical significance in classroom teaching in middle schools. This paper uses the cloud algorithm of the learning platform and the in-depth mining algorithm to initially construct a personalized learning model for music courses based on the mobile Internet, sort out the basic process of personalized teaching based on the mobile Internet, and establish a music curriculum based on the mobile Internet. Evaluation methods, including the evaluation of students, the evaluation of problems and the evaluation of teachers, can get the views of all walks of life on the online music course learning platform. The experimental results show that this article conducted interviews and questionnaire surveys on experimental class students, and found that more than 90% of the students recognized and liked personalized learning and teaching methods based on mobile Internet.
Application of Big Data Technology in Campus Security Management under the Background of Information Age
Authors: Li Yiwei
Published: April 2021

To explore the construction of safety management in universities against the background of big data is not only an important way to ensure the personal and property safety of teachers, students and staff, and to promote the construction of safe campuses, but also an essential part to realize long-term social harmony and stability. This paper based on big data technology, this paper establishes a visualization application platform to comprehensively improve the informatization and intelligence level of the university’s safety management, and the system was tested. The test results show that the response time of the system performs well, and the actual response time is no more than 3 seconds. The system recovery trial user login response time is 0.057s, and the completed login user format is 258 per second. 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 the information construction, talent reserve and information decision-making of smart campus.
RETRACTED: The Exploration and Countermeasures of University Education Management Model Based on Big Data Technology
Authors: Zhou Feng
Published: April 2021

In the context of the current rapid development of big data technology, my country’s higher education management model has been greatly impacted. The reform of the student education management model in colleges and universities has both positive and negative aspects. This article makes relevant countermeasures to the transformation of college student education management mode in the era of big data, which is also one of the main research contents of this article. This article mainly discusses the teaching management mode of colleges and universities. It first introduces the changes and current situation of the education management mode, and then makes relevant countermeasures to analyze the current situation after the reform. Under this new situation, the development goals of college education management models have also changed, so a new higher-level development goal of college education management under the background of big data is outlined. This article applies the changes of big data in the education management model. The traditional education management model must be difficult to meet the actual needs of the development of the current big data era. Therefore, based on this, this article needs to combine the background of the rapid development of the current era, increase the frequency of communication between students and teachers, improve the professional quality of teachers themselves, actively innovate the theoretical needs of current education management, and establish a more professional education management team. Based on the above-mentioned problems, a combination of machine learning algorithms and electronic icon detection algorithms is proposed. Experimental research results show that there are many problems in the work of traditional university education management mode. The rise of big data has brought severe impact and challenges to it, and it also brought unprecedented opportunities to university education management.
Online Education of Atomic Physics based on MOOC Platform
Authors: Wang Shengquan , Sun Ting , Qu Xiaoying , Xu Weiwei
Published: April 2021

With the rapid development of the Internet, online education (e-Learning) has gradually become an important form of education. Traditional education has many shortcomings, and the e-Learning can overcome these shortcomings well. Massive Open Online Course (MOOC) is an online education model that anyone can use for free. China University MOOC is an e-Learning platform launched by NetEase and Higher Education Press in China. The MOOC has developed rapidly in China in recent years. The MOOC provides students with courses from well-known universities in China. There are many course resources on the MOOC platform, and students can choose the right course according to their own situation. In this paper, based on the teaching process of Atomic Physics course using the MOOC platform, we share some experiences for the teaching process, and we will explain how to use the MOOC platform to better improve the teaching.
Fusion Application of Big Data and Cloud Computing In the Internet of Things
Authors: Qi Yongjun , Wu Haiyan
Published: April 2021

The Internet of Things can be simply understood as the mode of connecting things in the Internet environment. It is mainly the organic combination of computer, Internet technology and other information technology means. At the same time, the organic combination of the Internet of Things, big data, cloud computing and other advanced information thinking and computing methods is the direction of the future smart city construction. In the experiment, due to the characteristics of real-time and massive data of the Internet of Things, the fusion processing of big data cannot be carried out well. Based on the Internet of Things technology, cloud computing technology and fusion algorithm are selected for research. Experimental data show that the number of four types of nodes is set as 30, and the system has 100 nodes in total, and the length of one rotation of the system is 50s. The ordinary Leacha algorithm is used first, and then the improved Leach algorithm is used in the same environment. The experimental results show that there are four different types of nodes in the monitoring environment obtained by the test, and the initial data transmission rates of each node are 60, 90, 110 and 80 respectively. Therefore, the adjusted and improved LEACH algorithm can allocate the required data transmission time according to the different failure levels of the data. If the aging level is higher, the data transmission time of node data will be relatively longer. The improved strategy is in line with the characteristics of the Internet of Things and has the feasibility to complete the experiment.
Development and Application of Sports Video Analysis Platform in Sports Training
Authors: Bai Bing
Published: April 2021

The sports video analysis platform can accurately extract the training parameters of the trainer, build a model with personality differences based on the actual training actions, conduct an in-depth analysis of the training parameters, and fully display the standard degree of the trainer’s actions in the analysis results. Trainers and coaches can have a comprehensive and intuitive understanding of the problems in sports training through sports videos and analysis results. Coaches can adjust their training plans based on the analysis results. Trainers can make corrections to sports actions, thereby promoting the quality of sports training. constantly improving. This article mainly elaborates the development of the sports video analysis platform in sports training from the three aspects of hardware structure, function and target tracking model. At the same time, simple performance tests of the platform are carried out, and then the platform is applied to common long jump, race walking, badminton and gymnastics, I hope to have a certain reference significance for the effective development and promotion of sports video analysis platform.
Optimization and Innovation of SIFT Feature Matching Algorithm in Static Image Stitching Scheme
Authors: Jiao Yuan
Published: April 2021

With the development of computer technology, people can obtain electronic images by a variety of means, but these images often need to obtain a panoramic view of a large field of view from multiple limited field of view images because the field of view is smaller than that of humans, and image stitching technology can be very good Solve the contradiction between vision and resolution. This paper studies the extraction and registration of image feature points and its related technologies, including image feature detection and extraction, point feature-based matching, and image fusion. According to the requirements of matching and image splicing, the feature points with good robustness to image deformation and occlusion are used as image features to indicate that it meets the requirements of image splicing registration. This paper studies and designs an improved algorithm to improve the accuracy of feature points extraction. Further research and analysis of the SIFT operator based on the characteristics of the invariant technology realize that the feature points extracted from the image can be used for reliable matching of an object or scene from different perspectives.
Application of Fuzzy Clustering Maximum Tree Algorithm in Teaching Quality Evaluation
Authors: Xu Bo
Published: April 2021

The evaluation process of school teaching quality is more complicated. The traditional schemes mainly based on manual evaluation or expert evaluation. Due to the strong subjectivity, there is a big deviation between the evaluation results and the real results. To this end, a teaching quality evaluation program based on the largest tree of fuzzy clustering is proposed. After raw data collection, preprocessing, and data mining, accurate and objective evaluation results are finally obtained. Taking the original evaluation data set as the object, construct the fuzzy clustering maximum tree model, and obtain the importance matrix of the data set and the similarity coefficient between the input data variables. With the help of the fuzzy clustering maximum tree model, the importance of each factor in the evaluation of teaching quality can be objectively evaluated. Application examples also verify the superiority of the proposed evaluation algorithm.
Ceramic Molding Based on 3D Printing Technology
Authors: Deng Chao , Zhang Ting
Published: April 2021

3D printing technology can also be described as an increase in the manufacture of materials. In the forming process, no traditional machine tools, fixtures and cutting tools are required. Parts models of arbitrary complex shapes can be manufactured quickly and accurately. In the experimental process, small printers are modified in the extrusion part and printed with water-based alumina slurry as ink. The water-based oxide slurry is mainly water medium and contains only a small amount of organic binder. The influence of pH value, solid content, plasticizer, binder, lubricant and dispersant on the fluidity of slurry is studied. The results show that the slurry has the best stability when the amount of dispersant is 0.4 wt%, plasticizer is 1.0 wt%, lubricant is 4.0 wt%, binder is 1.0 wt%.
Construction of Rural Primary School Teachers’ Professional Ability Promotion System based on Cloud Platform
Authors: Zhou Junhui , Feng Xin , Li Weilong
Published: April 2021

At present, primary school teachers often face the problems of insufficient resources and guidance. Under the cloud platform learning, teaching and research are more efficient. In this paper, based on the cloud platform of rural primary school teachers’ professional ability improvement system as the research object, through the current situation of primary school teachers’ ability, combined with the current intelligent technology, the ability improvement of primary school teachers is studied. The results show that 75% of the respondents believe that their decision-making in the department actually relies on data analysis. 40% of the people think that using the results of data analysis to make decisions improves the importance of their work and their position in the enterprise. Decision making based on data has become the new normal, and the efficiency of primary school teachers’ ability improvement has increased by more than 45%. Similarly, education big data also has a profound impact on teaching decision-making. Cloud platform is the fundamental direction and key focus of teacher leadership in the new era. As a kind of dynamic leadership, teacher leadership has changed due to cloud platform learning. The impact of cloud platform learning on teachers’ leadership is omni-directional. Under cloud platform learning, teachers’ post requirements are higher, cooperation among teachers will be enhanced, teaching improvement will be strong, and teaching improvement and change behavior will be more active.
Intelligent Urban Rail Transit Based on Big Data Analysis and Application
Authors: Sun Wei
Published: April 2021

It is an intelligent information system developed in recent years to manage and control the traffic system with modern and intelligent technology. It plays an important role in alleviating traffic congestion, reducing traffic accidents and reducing energy consumption. This paper mainly studies the smart urban rail transit based on big data analysis and application. According to the characteristics of complex spatial correlation and time dependence of passenger flow, a deep learning model-temporal attention network is proposed, and multi-input multi-output multi-step forecasting strategy is used to solve the problem of error accumulation in long-term forecasting of passenger flow. Experimental results show that the prediction performance of our method in each time step is better than the traditional linear model, machine learning model and deep learning model, and the error is reduced by 7%-9% compared with the benchmark model. Moreover, the multi-input multi-output multi-step prediction strategy can effectively reduce the error accumulation of the traditional iteration strategy.
Modern Information Network Technology and the Translation of Foreign Literature
Authors: Zhang Wanfang
Published: April 2021

The rapid development of computer and network technology has provided convenient conditions for translation work. It should be admitted that modern information network technology possesses some advantages in assisting foreign literature translation. Based on this, this paper focuses on how to translate foreign literature by means of modern foreign literature tools and puts forward some suggestions.
Network Subgraph Pattern Mining
Authors: Deng Wei
Published: April 2021

Mining local connection patterns in large-scale networks is of great significance for understanding the structure and function of biological networks and online social networks. In practical applications, there are many problems and challenges, such as unknown network structure, large network scale, large number of subgraphs, and large operation of subgraph pattern analysis, which make it very difficult to analyze the local connection patterns of large-scale network graph accurately and quickly. In order to solve this problem, this paper designs a method of crawler and sampling to obtain the topology of the unknown network. At the same time, the deviation introduced in the process of data acquisition is modeled and analyzed, which can be compensated and corrected. A sampling unbiased estimation method suitable for large-scale static graph and high-speed dynamic flow graph is designed. The research results of this paper can be used to accurately and quickly mine and estimate the eigenvalues of local connection patterns, and provide important technical means for computer network traffic monitoring, online social network analysis and biomolecular network information mining.
Analysis of Information Security Risk Defense in the Development of Big Data
Authors: He Yuexing , Ji Jingzhou
Published: April 2021

Big data plays an extremely important role in the development of social economy. The information security of big data is related to the security of people’s personal data and important information of governments and enterprises. This article analyzes the concept of big data and the information security risks under the development of big data, And from the social, technical supervision and other aspects, Discussed information security risk defense methods under the development of big data.
Community Detection Research Based on Line Graph
Authors: Gui Chun
Published: April 2021

Community structure is an important property of complex networks, in which network nodes are tightly split into different groups. In this paper, a new overlapping community detection algorithm based on line graph is proposed. Spectral analysis based on Normal Laplace Matrix of line graph is introduced. We not only make the spectral clustering to be an overlapping algorithm but also define a new similarity between edges by spectral analysis. We test our method on three-community network and Zachary karate club network. The experimental result shows that our method can detect community structure and overlapping nodes effectively. It is worth to note that our method is against undirected and unweighted graphs.
Design and Implementation of Macroeconomic Situation Analysis Application System Based on J2EE Technology
Authors: Yu Xiangjun , Gui Xuefei
Published: April 2021

It is of great significance to analyze the current economic situation, accurately implement policies, and make breakthroughs in key areas. Using advanced information technology, fully using shared economic data resources, using mature basic economic theories and analysis tools, the application system of macro-economic situation analysis is constructed, which can timely and accurately understand the changes of economic information, study and judge the current economic operation situation, crack down on the development constraints, improve the level of public services, and achieve efficient governance It provides real-time technical support. In this paper, combined with work practice, using J2EE technology, the economic situation analysis system construction process of demand analysis, functional design and development are briefly described, and the application prospects of the system are made for the next step.
Construction of University Governance Model Based on Microscope Algorithm
Authors: Bian Fei
Published: April 2021

The evaluation of university governance is a scientific and reasonable comprehensive evaluation to measure the economy, efficiency and efficiency of cultivating talents, which is an important part of the work of universities. With the rapid development of technology field, the method of artificial observation and analysis has been unable to adapt to the status quo of rapidly increasing information, and the automatic acquisition and analysis of microscope algorithm has become an inevitable trend. The purpose of this article is trying to solve the university governance theory and the practice topic, assessment and monitoring algorithm and combined with microscope compiled a set of characteristics of modern university, multi-level, three-dimensional governance performance evaluation index system, including personnel training performance, teaching, research, scientific research, social service performance, logistics support, the performance of five main dimensions, established the model of university governance evaluation algorithm based on microscope, and apply the model to assess the comprehensive performance of a university, a series of scientific conclusions and recommendations, to further improve the comprehensive performance of colleges and universities play an important role, also enriched the theory of university governance evaluation system, It expands the new direction of the comprehensive research in colleges and has important reference value for the future development of the university management mode from the traditional hierarchical management mode to the common governance mode.
Research and Application of Traffic Forecasting in Customer Service Center Based on ARIMA Model and LSTM Neural Network Model
Authors: Zhang Mingjie , Sheng Yan , Tian Nuo , Liu Wei , Wang Hui , Zhu Longzhu , Xu Qing
Published: April 2021

Traffic data is the premise of the number of call center seats. The corresponding agents can be arranged for different traffic volumes to achieve optimal configuration of call center human resources. In this paper, ARIMA model and LSTM neural network model based on time series are used to predict traffic. The traffic of the power call center in Hebei Province is taken as an example to conduct experiments on Python software. The results show that LSTM neural network model has higher prediction accuracy than ARIMA model.
Overall Design of Artificial Intelligence Applications Based on the Electric Power Big Data Platform
Authors: Li Yaodong
Published: April 2021

Electric power big data is a new cross-domain data that appears with the development of smart grid and big data technology, and it is a specific application of big data technology in modern smart grid. This article mainly introduces the overall design of artificial intelligence applications based on the electric power big data platform. This article will explain in detail the construction process of the electric power big data platform and the overall design of artificial intelligence applications. This article introduces the specific significance of power big data as the main technical department of artificial intelligence, from the main links of demand analysis, architecture design, detailed design, and system implementation to the overall process of artificial intelligence application design from demand to realization. First, the overall requirements of the system are analyzed in detail from two aspects: functional requirements and non-functional requirements, and then the business architecture, application architecture, data architecture and technical architecture of the system are designed. Taking the functional modules of the electric power big data platform as an example, the detailed design of the functions is explained from the point of view of the class diagram, sequence diagram, and data model. This paper uses a self-organizing patch antenna calculated based on the power big data platform to search for the lowest voltage standing wave ratio of 1.0068 and the corresponding return loss of 45dB. However, regarding the antenna bandwidth, the self-organizing patch antenna still has the characteristics of a traditional patch antenna with a relatively narrow working bandwidth, and the working bandwidth of 13dB is less than 12%.
Development of Distributed E-commerce System Based on Dubbo
Authors: Ni Yiran , Xie Nan , Huang Yingying , Huang Xin , Chen Weimin
Published: April 2021

China’s e-commerce is developing steadily towards intelligence, extension, standardization, division of labour, regionalization, popularization and internationalization. The competition of domestic e-commerce market has shifted from Tier 1-2 cities to tier 3-6 cities and to rural areas. Online e-commerce platform and offline stores begin to accelerate the industrial integration. This new retail mode will be close to consumers and provide operational efficiency. The technology of e-commerce development platform is also changing with each passing day. According to the idea of service-oriented, the system uses Dubbo, a distributed service framework based on Java, and uses zookeeper as the service registry to provide consistent coordination services for applications. Using the framework of Spring boot and the method provided by TkMybatis, the system realizes an e-commerce online shopping mall system with high concurrency, distribution and high availability e-commerce system - a comprehensive B2C shopping platform. In addition, the system also greatly reduces the coupling of the system, enhances the high availability, and has significant characteristics in maintainability and scalability.
Influence of Artificial Intelligence Technology on Animation Creation
Authors: Liu Qingke , Peng Hui
Published: April 2021

The advent of the era of artificial intelligence has brought unprecedentedly technological changes and breakthroughs to animation creation, which makes animation art creation gradually move towards the field of intelligence, and avoid the cumbersome and intensive work mode, thereby making the creation focus on the creative innovation. This paper deeply discusses the relationship between artificial intelligence and animation creation, and clarifies the advantages of artificial intelligence in improving the efficiency of animation creation. At the same time, it also analyses that the root of animation creation in this period is still human nature, so the creator should create animation based on human nature itself.
The Application of Big Data in the Intelligent Tourism Management Mode is Explored
Authors: Liu Yanshuang
Published: April 2021

In recent years, with the rapid development of the tourism industry and the application of the new tourism management model, the statistics of big data in the tourism industry and the improvement of the technical level of big data in the intelligent tourism management have gradually become the most important tasks and objectives in the intelligent tourism management model. The purpose of this paper is to analyze the current development of tourism management by using big data in the light of the development needs of the current era, and to explain the shortcomings of big data in the current smart tourism application. This paper mainly through the review of relevant literature at home and abroad and the use of multi-mark learning algorithms to carry out experiments to achieve our experimental goal - to study the application of intelligent tourism management model based on the background of big data. The experimental results show that the use of big data technology can effectively carry out the construction strategy of the new intelligent tourism management model in-depth research and analysis, and has defined reference significance.
Development and Application of Simulation Control System of Logistics Palletizing Robot Manipulator
Authors: Zheng Hong
Published: April 2021

Loading and unloading and handling is one of the important parts of logistics. It often occurs in the logistics system, which connects all links in the production process and plays a very important role. The purpose of this paper is to discuss the development and application of the simulation control system of the logistics palletizing robot manipulator. According to the control requirements and functions of the control system, the control system is planned, the PLC control mode and PLC model are selected, the communication system is set, and the I / 0 interface is allocated. The arm parallel mechanism is selected to be in a relatively dangerous position. The control system of the small arm and the rear arm of the palletizing robot is designed. The function modules in the PLC program have achieved the expected purpose. On the premise that the strength and stiffness of the two key components meet the design requirements, the weight of the two key components is reduced by 50% and 10kg respectively. The optimization effect is obvious, which is conducive to improving the structural performance of the palletizing robot, saving materials and reducing production costs.
Leakage Reduction of Water Distribution Network System Based on the Observation Data of Water Leakage and Pressure of Actual Water Distribution Network System
Authors: Cheng Peng
Published: April 2021

As the main way of urban water use, water supply system is an important urban infrastructure. It plays an important role in guaranteeing people’s life and economic construction. In recent years, it has an overall and guiding influence on the city. The monitoring and leak detection of water supply network system has become one of the most important problems in the water supply network system. The purpose of this paper is to explore the leakage reduction of the water distribution network system under the observation data of water leakage and pressure based on the actual water distribution network system. This paper analyzes the different pipe diameter of pressure change on the influence of water leakage, and the effect of different decompression interval to reduce water leakage results show that the leakage and pipeline pressure changes exponentially, it changes with reduced pressure pipe installation of pipe diameter and valve for high same diameter of pipeline, decompression and leakage effect is more effective, for the decompression range of basically the same pipeline, pipe diameter, the greater the effect is more obvious. In this paper, we study a kind of based on the pressure signal and traffic signal of the existing urban water supply pipe network leakage recognition and positioning method, and carries on the simulation of urban pipeline leakage simulation test platform through test analysis, probes into the key technology of this method and improvement, to improve the accuracy and positioning precision of the method to detect leaks. The research results show that the simplest method can be realized and the best effect can be achieved through the summary analysis of existing studies. When the leakage coefficient is set as 1, the water leakage is about 600%, and the pressure value of the leakage node and the pressure monitoring point for 24h is shown. It is obvious that when the lowest pressure is 10h, the pressure value is 300%. Through the analysis and improvement of this method, it can realize the timely identification and positioning of leakage events, reduce economic losses, and guarantee people’s normal life.
Industrial Detection Efficiency Based on Automatic Industrial CT Detection System
Authors: Xu Kai
Published: April 2021

With the rapid development of industrial technology, nondestructive testing technology has been widely used in industry. Automatic industrial CT testing is an effective method for nondestructive testing of internal defects of large workpieces. In the 1980s, China began to study industrial CT technology. However, due to the limited conditions and demand, the automatic industrial CT has not been put into use. In this regard, the purpose of this paper is to explore the efficiency of industrial detection under the automatic industrial CT detection system. In the actual X-ray CT inspection, for the small workpiece with complex internal structure, the best detection method is to detect along the section of the internal structure of the workpiece, so that the collected data can make CT imaging clearer. At the same time, with the acceleration of nondestructive testing automation process, the traditional rotary table X-ray CT detection system has been unable to meet the needs of actual production testing. According to the existing problems, a new automatic CT detection system is proposed in this paper. The system is a CT system based on 6-DOF Industrial robot. It has 6 spatial degrees of freedom, which can flexibly realize the clamping and spatial positioning of parts. It is an effective solution to replace the rotary table for radiographic inspection. And only according to the reasonable design of the clamping device according to the testing parts, it can be directly applied to industrial production, which speeds up the development process of nondestructive testing automation technology. Finally, this paper compares the CT detection system with the traditional industrial detection system, and studies the industrial detection efficiency of the two systems. The experimental results show that the efficiency of CT detection system proposed in this paper is 33% higher than that of traditional industrial detection system. At the same time, the proposed CT detection system provides a feasible solution for the automation of industrial X-ray CT detection.
Distribution Network Optimization Planning Based on Genetic Algorithms
Authors: Liu Yangyong
Published: April 2021

Nowadays, with the development of the times, many times we will use new technology to facilitate our lives, and as a closely related part of our lives - electricity, let alone, it can be said that the pillar of modern society is electricity, if there is no electricity we will collectively return to the original society. However, with the development of the times and the increase of electricity scale, the load of power supply system is getting bigger and bigger, but there is a lot of electricity wasted, so the purpose of this paper is to use genetic algorithms to optimize the distribution network planning. This paper explores how to reasonably optimize the plan by retrieving relevant literature at home and abroad and consulting relevant examples, and then analyzes the experimental data by obtaining some data to simulate the real situation by using sandbox simulation and genetic algorithm modeling. Experimental data show that the distribution network optimization planning scheme designed by genetic algorithm will reduce the original loss by 40%.
The Application of Deep Learning in Image Processing is Studied Based on the Reel Neural Network Model
Authors: Xu Nan
Published: April 2021

In recent years, with the deepening of deep learning reform and the rapid development of reeling neural network technology, the model applied by deep learning has been greatly different from the traditional, the original learning program and learning model need to be developed and changed with the progress of the times. Therefore, the purpose of this paper is to rely on the network model derived from the deep learning of reel neural networks to solve the problems in the field of image processing. Based on the technical safety code and data security protection of reticulation neural network, this paper learns in depth the computing power of reel neural network while taking into account the deep learning corresponding to the refragstortic neural network model, and then collects, organizes and analyzes the information related to image processing, uses sandbox simulation operation, modeling, and a variety of intelligent algorithms to get the final result. This paper mainly uses the target detection algorithm to experiment. The experimental results show that the application of co product neural network model deep learning in image processing can be improved more effectively by using suitable algorithms.
The Application of Big Data in Electronic Information Engineering
Authors: An Sha
Published: April 2021

With the development of Internet of things, more and more people pay attention to big data. Electronic information engineering is mainly about the acquisition and analysis of information. In this information age with explosive growth, a large number of data need to be correctly and reasonably analyzed by electronic information engineering combined with big data technology. Therefore, this paper proposes the application research of big data in electronic information engineering. Through in-depth study of big data related technologies, this paper constructs NoSQL data aggregation model, analyzes the importance of big data technology and the application of big data technology in electronic information engineering technology, and draws a conclusion that about 60% of people think big data technology is very important, and the application of big data in electronic information engineering technology accounts for 40%. The research in this paper is helpful to promote the progress and development of electronic information engineering and improve the profitability of enterprises.
Evaluation Scheme of Live Load Standard of Railway Bridge Based on VR Technology
Authors: Hu Rong
Published: April 2021

With the rapid development of China’s railways and the extension of high-speed railways in all directions, China’s railway departments have realized that the original design concept and design load can no longer meet the current requirements of railway operation. This paper mainly studies the design of the live load standard evaluation scheme for railway Bridges based on VR technology. This paper first introduces the theory of load experiment and analyzes the live load experiment and its standard in detail. Then, this paper analyzes the live load standard evaluation scheme of railway Bridges under VR technology, and carries out experiments. The experimental results show that when the spacing between main beams is 2.1m and 4m, the empirical distribution does not reject the test of normal distribution, lognormal distribution and extremum-I distribution, but the test value of normal distribution is the smallest, indicating that the distribution type of transverse distribution coefficient of load is closer to normal distribution. The results of this paper are helpful for the railway departments to carry out live load experiments on railway Bridges and promote the development of load evaluation of railway Bridges.
Electrical Automation Technology in Smart City
Authors: Wang Yanli
Published: April 2021

Since the beginning of this century, with technology and data as the core, the urban transformation plan of “smart city” has emerged, which is aimed at realizing a more convenient, efficient and accurate life of human beings. However, the current practice of global smart cities tends to rely on technology excessively, and blindness and homogenization are common. The importance of electrical automation technology in the field of modern industrial production is very obvious, and the demand for talents is also expanding. This paper describes the concept of electrical automation and smart city, designs and tests an electrical automation system based on smart city model. After testing, the transmission success rate of the system is more than 80%, and the real-time data measurement deviation is about 5%, which can meet the basic needs.
Application of Computer Multimedia Technology in Track and Field Teaching and Training
Authors: Xia Huang
Published: April 2021

The 21st century is an era of information explosion, and the multimedia technology is also growing vigorously. It not only changes the conditions of many industries, but also brings a completely new innovation to the education industry. The advent of Computer multimedia technology has brought about a qualitative change in educational concepts and ideas. It has brought opportunities and challenges to educators, as well as efficiency and science to students. Students no longer accept the knowledge singly and passively, and do not need to be restricted by the age of teachers and teaching methods. With the assistance of Computer multimedia technology, college track and field teaching and training will have a new look, allowing students to devote themselves to learning more willingly, and the vast and abundant technical resources also allow students to get more high-quality and advanced teaching materials. Because Computer multimedia technology has an obvious influence on track and field teaching and training, this paper will discuss the track and field teaching and training. First, it will discuss the necessity of integrating Computer multimedia technology into track and field training, and then talk about the great significance of Computer multimedia technology in the track and field teaching and training. Finally, it puts forward some constructive suggestions for the better integration of Computer multimedia technology with track and field teaching and training and to maximize the effect. I hope that we can contribute to the physical education cause in the motherland.
The Application of Multimedia and Network Technology in Practical Writing Teaching of Higher Vocational Education
Authors: Tian Cuicui
Published: April 2021

With the rapid development of global multimedia technology and Internet technology, the world has entered a new information age. The great development of the Internet industry, information equipment and intelligent mobile equipment has brought new impacts and opportunities to people’s lives and has a great impact on people’s daily life, work and learning. These also deeply affect and urge the educational progress and development of higher vocational colleges in China. The practical writing in higher vocational colleges is the basic course of higher vocational colleges, and the development of its teaching mode has been in the bottleneck for a long time. This paper aims to analyze the advantages and feasible measures of the combination of practical writing teaching and the advantages of multimedia and network technology in the information age, to express my own opinions on the development of the practical writing teaching mode in higher vocational education.
Road Obstacle Detection in Bad Weather Based on Deep Learning
Authors: Jiao Shuangjian , Wang Lingling
Published: April 2021

With the progress of the scientific era, people’s way of travel has become more diverse, not like the ancient carriage travel, but now the car, bus, train, high-speed rail, aircraft and so on for people to choose more, but the emergence of science and technology is like a double-edged sword, the convenience of travel mode will lead to traffic congestion, especially in bad weather In this paper, the deep learning method is used as the basic prediction algorithm to realize the road obstacle detection in bad weather. Under the influence of bad weather, people cannot judge the obstacles clearly, and 87 traffic accidents have occurred in two and a half years, The average number of accidents per day is 1.2, which is higher than that of 1.1 accidents / day in normal weather. The average number of accidents increases by about 20%.
Application of Artificial Intelligence Technology in Electronic Information Engineering
Authors: Wang Nan
Published: April 2021

In the development process of artificial intelligence, electronic information engineering technology is indispensable. Electronic information engineering technology support is extremely important for the development of artificial application. This paper describes the related concepts of artificial intelligence and electronic information engineering, and researches and designs the application of artificial intelligence technology in the electronic information engineering platform. Through the analysis, we can see that the system is not There are fatal loopholes, the success rate of data transmission basically meets the demand of more than 80%, and the response time is within 3S, which can also meet the set requirements.
Students Performance Prediction by Mining Behavioural Pattern
Authors: Sun Huanliang , He Shi , Esho Olaoluwa
Published: April 2021

Analysing and monitoring students’ progress and performance is an active research area in educational data mining. Some research work uses direct construct relating to academic achievements such as GPA, SAT in predicting performance while others make use of psychometric construct in measuring skill and knowledge, ability and educational achievement from data gotten from questionnaires. In this paper, we propose the use of psychometric construct as a method of extracting non-cognitive features from campus check-ins data in predicting academic performance of college students. A P-FRAME framework was developed and non-cognitive attributes extracted through psychological theories were used as the predicting variables. The extracted variable was applied to various penalized regression algorithm and the results were compared. The result of our experiments showed a high correlation between the actual score and the predicted score which is within 2:0 of reported score.
Application of Computer Vision Technology in UAV
Authors: Luo Bo , Wang Xudong , Zhang Zhiyuan
Published: April 2021

With the improvement of computer ability and the rapid development of computer vision technology, UAV has been widely used in other industries from the initial military field. At present, the most widely used UAV navigation is the global positioning system (GPS) of the United States, which can be easily interfered by human beings, resulting in certain errors. At present, there are four landing methods for manned aircraft, but no matter which one is, its concealment is poor. At the same time, compared with manned aircraft, UAV is generally smaller in size, so it is unable to follow the domestic microwave radar equipment in China. Through literature review, the origin and development of UAV and computational vision technology are comprehensively reviewed. The application of computer vision technology in agriculture, power, transportation, environmental protection, rescue, entertainment and other fields in recent years is summarized. The relevant survey data are analyzed and presented in the form of chart. Through the data, we can clearly find that the combination of computer vision and UAV still has a lot of room for improvement in the future.
English Translation Effect Evaluation System Based on Big Data
Authors: Xudong Wang
Published: April 2021

In recent years, ontology has been widely used to model world knowledge at the conceptual level. In recent years, machine translation has been widely used. This paper focuses on the evaluation of machine translation system. This paper reviews and compares the types and standards of machine translation, the content of system evaluation, and the main methods of system evaluation. The experimental results show that a high-quality machine translation system must fully integrate linguistic knowledge and language neutral world knowledge. This paper introduces an ontology based English Chinese machine translation model system, which organizes concepts into a hierarchical structure and establishes rich conceptual connections among concepts. The accuracy of machine translation is improved by mapping words in a language to concepts in ontology. The experimental results show that the accuracy of machine translation can be improved by 10.8%.
Research on Online Course Information Acquisition of Engineering Cost Based on Virtual Simulation Technology
Authors: Yang Min
Published: April 2021

The Ministry of Education proposed to deeply integrate higher education and information technology, and the traditional education mode also changed qualitatively with the introduction of virtual simulation technology, making educational technology more suitable for the development of modern society and the goal of talent training. Through the research on the application and practice of virtual simulation technology in the core course teaching of engineering cost specialty, virtual simulation teaching has the advantages of high efficiency, low cost, rich content, effective performance and safety, etc., and it can make the whole building change the observation through the 3d simulation animation display. By summarizing the teaching process of introducing virtual simulation technology into engineering cost course, this paper puts forward some problems that need to be further studied in the teaching process of introducing virtual simulation technology into engineering cost course, points out its advantages in the teaching process of engineering cost course, and summarizes the full text.