bluuebunny/crossref_metadata_2025 huggingface dataset:
A Object detection Method for Missile-borne Images Based on Improved YOLOv3
Authors: Wang Shaobo , Zhang Cheng , Su Di , Sun Tianqi
Published: April 2021

Detecting small objects in complex circumstances is an important topic in the research of today’ s object detection [1], especially in military, which needs more reliable, stable and accurate detection results. In order to improve the detection of small objects, we improved the structure of the YOLOv3 network by replacing the convolution module in the original network with multi-branch scale convolution, increasing the adaptability of the network to different sizes of objectss and reducing the number of network layers to balance the depth and width of the network, while also improving the feature extraction and representation capabilities. And based on the premise of a small number of data sets, we simulate some complex environments, which are composed of different weather, illumination, motion and rotational blur. We also enhance and extend the data in the network learning. Through the system simulation experiment, small objects can be recognized in such complex environments, which provides a reference for object detection of missile-borne images.
Attacking Sequential Learning Models with Style Transfer Based Adversarial Examples
Authors: Zhang Zhilu , Yang Xi , Huang Kaizhu
Published: April 2021

In the field of deep neural network security, it has been recently found that non-sequential networks are vulnerable to adversarial examples. There are however few studies to investigate the adversarial attack on sequential tasks. To this end, in this paper, we propose a novel method to generate adversarial examples for sequential tasks. Specifically, an image style transfer method is used to generate for a Scene Text Recognition (STR) network adversarial examples, which are only different from the original image on the style. While they will not interfere with the recognition of image information by human vision, the adversarial examples would significantly mislead the recognition results of sequential networks. Moreover, based on a black-box attack, both in digital and physical environments, we show that the proposed method can use cross text shape information and attack successfully the TPS-ResNet-BiLSTM-Attention (TRBA) and Convolutional Recurrent Neural Network (CRNN) models. Finally, we demonstrate further that physical adversarial examples can easily mislead commercial recognition algorithms, e.g. iFLYTEK and Youdao, suggesting that STR models are also highly vulnerable to attacks from adversarial examples.
Semisupervised Classification Based on Tensor Convolutional Neural Network for Hyperspectral Images
Authors: Ye Fuyin , Chen Zhao
Published: April 2021

Deep neural network has been extensively applied to hyperspectral image (HSI) classification and shown promising performance recently. However, those popular deep learning models scarcely consider low-rank features of high-dimensional HSIs lying in intrinsic data subspaces. Besides, their results largely rely on numerous labeled samples, which are expensive and time-consuming. To address these issues, we propose a Three Dimensional Tensor Convolutional Neural Network (3DTCNN) for spectral-spatial low-rank feature representation and a Semisupervised Classifier based on 3DTCNN (S-TCNN) for classification with limited labeled samples. 3DTCNN integrates tensor decomposition with convolutional neural network to extract discriminative spectral-spatial low-rank features. It also combines multiple supervised discriminators and unsupervised clustering modules to exploit labeled and unlabeled samples. Experimental results show that S-TCNN outperforms several classic supervised classifiers and state-of-the-art semisupervised classifiers on one benchmark hyperspectral data set, Indian Pines. When there are only 3 samples with prior labels per class, the proposed model achieves 98.2%, in terms of overall accuracy. Therefore, the design of 3DTCNN is proved feasible while the efficacy and efficiency of S-TCNN are validated.
Optimization of Edge Extraction Algorithm for Objects in Complex Background
Authors: Huang Fengyun , Jiang Yu
Published: April 2021

In the field of artificial intelligence, machine vision is expected because of its low cost and easy popularization. Feature extraction is one of the core steps of machine vision. When we use Canny algorithm, which extracts edges by gray level change, we cannot directly separate the object from the background. The edge information of the object will also be lost when the Gaussian filter smoothes the image. The research proposes an improved edge extraction algorithm based on Canny algorithm. We use the image difference method and object envelopment method to separate the object from the background, so the data to be processed is greatly reduced and the speed and accuracy of the algorithm are improved. Then we use bilateral filtering instead of Gaussian filtering, which increases the weight of gray difference on the basis of Gaussian filtering, so we can to retain more edge information. Finally, we improve the gradient operator, by determining the gradient operator coefficient according to the inverse ratio of the Euclidean distance between the pixel and the center pixel. The average performance of the new gradient operator in the center of the picture is better than that of Sobel operator. Experimental simulation shows that the algorithm has good detection accuracy. Compared with traditional algorithms, the improved algorithm is not affected by complex backgrounds, and reduce the influence of light. The improved algorithm has clear edges in the center area of the image.
Incremental Learning Based on Angle Constraints
Authors: Zhou Yang , Qin Yunbai , Jiang F. , Zheng Kunkun , Cen Mingcan
Published: April 2021

With the rapid growth of the Internet, it has become easy to obtain new data for many application domains. However, when adding new data to the current system of artificial neural networks (ANNs) to learn, it can cause the network to completely forget what it has learned before, which is called catastrophic forgetting. The main reason for these problems is the inability of ANNs to balance new classes with old ones. Therefore, to address the challenge of learning new knowledge while not suffering from catastrophic forgetting, some incremental learning algorithms have been proposed to alleviate. This paper proposes features that balance new classes with old classes by using angular distillation. And some exemplars from the old classes are retained to improve the performance on the old data. The effectiveness of our algorithm is demonstrated on CIFAR-100 dataset.
Particle Swarm Optimization for Optimal Allocation of STATCOM on Transmission Network
Authors: Okelola M O , Ayanlade S O , Ogunwole E I
Published: April 2021

Static Synchronous Compensator (STATCOM) is one of the members of flexible alternating current transmission systems (FACTS) devices that controls one or more network parameters to increase system power transfer capability. However, it needs be optimally allocated to fully maximize its usage. Allocation of STATCOM simply refers to optimal placement and size of a STATCOM to solve some of the transmission network problems. This paper therefore utilizes particle swarm optimization (PSO) to allocate STATCOM to enhance the system voltage magnitudes and minimize the active power loss. A Matlab programme was developed for the proposed method and applied to IEEE 14 bus network and the results presented. The results showed that the total active power loss was reduced by 6.90%. The voltage magnitudes at buses 7 and 13, which were above the upper voltage limit, were reduced and brought to within acceptable voltage limits and hence improvement in the system voltage profile. Therefore, the optimal allocation of STATCOM improves the efficiency and operation of the network.
Anov: A Framework for Rapid Construction and Development of Web-Based Large Screen Visual Dashboard
Authors: Song Yulun , Xie Yunlong , Zhu Runya , Pang Zhihui , Zhuang Yuan
Published: April 2021

With the advent of the era of big data, extract and display effective information from massive amount of data has become a hot research field. Visualization is the most direct way for users to perceive and understand data. That’s why data dashboard with its cool dynamic visual effect has become so popular. In this paper, we propose a framework for rapid construction and development of web-based large screen visual dashboard—Anov. Anov dedicates to three goals: high efficiency, innovative AI user interaction and 3D scene. First, this framework provides a “30% configuration, 70% customization” development scheme which shortens the development cycle by at least one third. Second, Anov adopts a hierarchical architecture model to achieve high reusability, easy extensibility, high reliability, and easy maintenance. Finally, this paper introduces Anov’s wide range of application field and rich user experience through multiple cases to demonstrate the practicality of the framework.
Modeling and Analysis of Massive College Sports Data Based on Cloud Computing
Authors: Su Taotao
Published: April 2021

With the advantages of cloud computing in the process of education and teaching practice in China gradually highlighted, it is increasingly urgent to use cloud computing to promote technological change in education and promote educational modernization with educational information. This paper introduces the problems existing in the construction of sports information resources in Colleges and universities. This paper discusses the impact of cloud computing on college sports information resources and the new opportunities brought by cloud computing. Finally, the paper puts forward some suggestions on the construction of sports information resources in Colleges and universities. The results show that the passing rate of freshmen, sophomores, juniors and seniors is 13%, 20%, 22% and 45%, respectively. The pass rate of high school physical education is the highest, the pass rate of freshman physical education is the lowest, and the pass rate of sophomore physical education is lower than that of junior middle school physical education.
Database Construction in Computer Audit under Big Data Environment
Authors: Wu Yanhong
Published: April 2021

In the information age, the explosive growth of data forces users to deliver the data to the database service provider to manage. This paper mainly studies the database construction of computer audit under the environment of big data. This paper proposes a queryable database encryption storage scheme and a searchable multi-keyword encryption scheme under distributed environment. In this paper, the non-relational database is used in distributed storage in the form of key-value to improve the query performance. For distributed database, this paper proposes a queryable database encryption scheme. In this scheme, there are two encryption query modes: exact matching mode and range matching mode. Users encrypt and store data to the corresponding server nodes in these two ways, which can support rich queries. In the process of query, the user generates the corresponding query password for each server node, and then the parallel query can be realized. While protecting data privacy, the performance of the scheme is also well guaranteed.
Application of Neural Network and Computer in Intelligent Robot
Authors: Zhou Huikui , Gu Mudan
Published: April 2021

Autonomous mobile robot is widely used in security patrol, freight, autopilot, and family life and other fields, improve the application effect is one of the most important factor is to be able to accurate navigation path, so how to design a highly efficient, intelligent autonomous mobile robot navigation path algorithm has been a popular research topic in the field. This paper mainly studies the application of the combination of neural network and computer in the field of intelligent robot. The Pninnet model is used to simulate the 3D simulation environment built in this paper, and the path navigation method of the autonomous mobile robot based on the end-to-end model is realized, and an algorithm based on ray detection is proposed to achieve obstacle avoidance. Through several groups of comparative experiments (such as comparison with Pilotnet model, etc.) and analysis, it is proved that the algorithm in this paper improves the efficiency of robot navigation research and the robot developed has a better performance in navigation in unknown or familiar environments.
Design and Implementation of Vocational Education Cross Border E-Commerce Comprehensive Training System Based On Big Data Analysis
Authors: Hu Shuyu , Huang Ming
Published: April 2021

In recent years, the rapid development of e-commerce logistics puts forward new requirements for personnel training. With the rapid development of e-commerce, there is a serious shortage of e-commerce talents, which poses a great challenge to e-commerce education and teaching. As the main position of cultivating skilled talents, vocational education has unique advantages in cultivating e-commerce talents. On the basis of the survey, this paper analyzes the demand level and knowledge skills of e-commerce talents. The results show that the highest proportion of mixed M & A of digital marketing communication is 44%, and the lowest proportion of horizontal communication is 21%.
Production Technology and Stability Study of Chaenomeles Lagenaria Leben Based On Data Analysis
Authors: Wu Yahua
Published: April 2021

Objective: Chaenomeles lagenaria fermented milk beverage was will to raw milk fermented yogurt after adding concentrated C. lagenaria juice, stabilizer and organic acid, sugar, water allocation. The production technology of fermented beverage for C. lagenaria and its stability were studied, thus for C. lagenaria the production technology of fermented beverage used to provide reliable reference for industrial production. Methods: Through the experiment, optimized condition of the production process of milk beverage, and to make good C. lagenaria stability of fermented milk beverage were studied. Results: add the yogurt, 40% 0.5% concentrated C. lagenaria juice stabilizer for optimum process conditions. The optimum proportion of stabilizers for sodium carboxymethyl cellulose 0.15%, polysaccharide compounds 0.1%, xanthan gum 0.2%. Conclusion: Through data analysis that C. lagenaria fermented milk beverage production need reasonable ratio of concentrated C. lagenaria juice and yogurt combine to produce fermented milk quality and taste are good C. lagenaria.
Development Trend Layered Technology Optimization Strategy in Computer Software Development
Authors: Cao Xiao-Long , Hu Yuan-Yuan
Published: April 2021

With the development of society and the rapid progress of science and technology, computer software development technology has brought new development trends, among which layering technology is a relatively common technology in software development. This article has conducted a series of research and discussion on the development trend of layered technology in the development of computer software. In modern society, the application of computer technology is more and more extensive, the technology used in computer software development is more and more diversified, and the traditional single-layer software system is more and more difficult to meet people’s requirements. As the actual requirements of users continue to increase, the application of layered technology in computer software development is becoming more and more common. The globalization of information technology has not only changed people’s production and lifestyle, but also improved people’s quality of life, and promoted the continuous progress of society and the times. As an important development field in the information age, software technology plays an important role. The situation of globalization is becoming more and more obvious. As one of the main means of cultural communication, information globalization depends to a large extent on the development and popularization of the Internet, and determines the speed of globalization. The computer is the external outlet of the Internet. The upgrading of computers is getting more and more attention. The development of network technology provides opportunities for the development of computers. In the process of computer software development, layering technology has improved the computer’s operational capabilities and data processing capabilities. These two improvements provide effective protection and bring us a better user experience. This article is based on the particle swarm algorithm to carry out research and discussion. The experimental research results show that the development trend of layering technology in computer software development has shown a trend of vigorous development. Under this trend, we should follow this pace and keep going.
Function and Influence of Database Technology in Distributed Accounting Books under Network Environment
Authors: Liu Ying
Published: April 2021

As the main form of value embodiment of accounting subject, distributed account book is becoming more and more important in accounting management activities. However, due to its own specific economic attributes, it is often restricted by many internal and external conditions such as enterprise development. Especially in the objective situation of the continuous popularization of network application in recent years, with the continuous progress of database technology, its role in business management is increasingly obvious, and its impact on the quality of corporate accounting information is more and more obvious. The development of database technology in the network environment is conducive to the development of distributed accounting records through artificial system, and the establishment of a computer-based traditional system and modern Distributed Accounting registry. In this changing process, the development of innovation and management theory runs through all fields, but the influence of network information technology is the most basic. It directly or indirectly affects the evolution of distributed accounting system structure. The development of network database technology will contribute to the smooth connection between the Distributed Accounting registry and other management system subsystems. An enterprise ensures the data exchange within the enterprise, even between the supply and demand chains. In this process, the quality of accounting information improves the efficiency in the decision-making process. However, the research of computer accounting is usually dealing with the accounting treatment of specific business. It mainly studies the impact of database technology on the network environment in distributed accounting books.
A Hybrid News Recommendation Algorithm Based On K-means Clustering and Collaborative Filtering
Authors: Liu Jing , Song Jinbao , Li Chen , Zhu Xiaoya , Deng Ruyi
Published: April 2021

In the era of paper media, the information channels and the information content were integrated. With the birth of the Internet, they tended to be separated while the information channels continued to expand, which brought a massive amount of news information to process. Therefore, it’s essential for us to adopt new methods and new models to deal with all the information. This paper gives a brief overview of news recommendation technology, and proposes a hybrid news recommendation algorithm, which combines content-based recommendation algorithm and collaborative filtering, using TF-IDF method and K-means clustering technology to extract and process the features of news content, meanwhile, this paper applies SVD technology to solving the matrix sparse problem in the traditional collaborative filtering algorithm. Moreover, news popularity is taken into consideration in this paper then it combines the candidate recommendation results of each approach. At last, this algorithm achieves a better result compared to traditional recommendation algorithm’s result.
Design and Implementation of Digital Platform of Academic Test in Colleges and Universities
Authors: Wang Fuqiang , Hu Qiang
Published: April 2021

With the rapid development of Internet technology, academic testing in colleges and universities also ushered in changes. The disadvantages of a test paper are becoming more and more obvious. This paper expounds in detail the design and implementation process of the online academic test digital platform designed and developed by using Java development language and MySQL database and eclipse development tools. The test results show that the digital platform of academic test in colleges and universities is flexible in practical application, and it is convenient to group papers, test and mark papers, and data collection and analysis, which provides work efficiency.
University Sports Information Management System Based on Big Data
Authors: He Qinhong , Lu Long , Xu Xiangdong
Published: April 2021

Student information management is not only the basis of realizing efficient education and teaching management in Colleges and universities, but also an important link. However, in recent years, with the popular development of higher education, the number of students is further expanded, the number of students has increased a lot compared with the past, and the work of student information management has become increasingly heavy, which has brought new challenges to student information management. This requires managers (class teachers, class cadres) to update the concept of student management, innovate the student management mode, and use modern information technology to manage class affairs and student information. This topic is based on the realization of the standardization, digitization and automation of student information management, which can help class teachers and class cadres save manpower, material resources and financial resources, further improve the efficiency and accuracy of class information management in sports colleges and universities, strive to improve the scientific level of student information management, and provide a platform for students to broaden their horizons and actively participate in school activities. In this paper, through the design and development of sports information management system, and through the function and performance test, it is found that the system can meet the needs of colleges and universities, which simulates the results of 200 users’ concurrent number of operating system. The user concurrent number is the largest user concurrent number index of non functional requirements of the system, and the corresponding test items have passed the performance test requirements.
Research and Application of Business Ability Evaluation Based On DBSCAN Algorithm and Entropy Method
Authors: Yang Jing , Liu Kunpeng , Zhang Mingjie , Xu Qing , Jin Peng
Published: April 2021

Based on the data of 95598 work sheets and quality inspection, this paper constructs customer commissioners business capability evaluation models of different business types. Firstly, through DBSCAN algorithm we mine the potential category characteristics of customer commissioners. Then, entropy method is used to score the customer commissioners under the target category comprehensively. Finally combining the clustering results and entropy score, the customer commissioners with relatively strong and weak business capabilities are identified accurately. By marking the business capacity labels for the corresponding customer commissioners, it has guiding significance for the post adjustment and business training, which can improve the quality of power supply service and customer satisfaction for customer service center.
Axiomatic Design Based Association Network Mining Method for Complex Mechanical and Electrical Products
Authors: Zhang Fudong , Xia Qiongpei , Yang Xianchao , Xia Yuanfei
Published: April 2021

Complex mechanical and electrical products have complex functions and structures, and simple customer requirements often hide the complex relationship between components. In order to effectively analyze the relationship between components of complex mechanical and electrical products and better deal with the problem of adaptive design, from the perspective of product requirements, a method of mining association network of components of complex mechanical and electrical products based on axiomatic design is proposed. Firstly, based on the whole life cycle of the product, the product use environment of product environment designer interaction is constructed, and the product requirements are obtained based on the product use environment; then, the axiomatic design of different domain mapping relationship is used to mine the association relationship of product parts, and the association network between product parts is constructed, and the association network is expressed structurally. Finally, taking the segment assembly machine of shield machine as an example, the effectiveness of the proposed method is verified.
Application and Future Development of Computer Aided Writing Software in Chinese Language and Literature
Authors: Huang Ying
Published: April 2021

In recent years, the use of computer technology to study Chinese language and literature has become a new trend. There are many resources for the introduction and research of Chinese multimedia textbooks, multimedia courseware, and Chinese language and literature websites. But at present, there are few researches on the application and practice of computer-aided writing software. In this regard, the purpose of this article is to study the application and future development of computer-aided writing software in Chinese language and literature. This article first discusses the status quo of my country’s Chinese language and literature construction and resources, as well as the main problems currently existing. Then, through the method of questionnaire survey, to understand the Chinese language and literature researchers’ understanding, like and cognition of computer-assisted writing software Chinese language, so as to more truly understand the help of computer-aided writing software to Chinese language and literature. After that, this article combines the survey results to compare traditional manual writing and computer-assisted writing software, and explores the effectiveness and necessity of computer-assisted writing in teaching Chinese as a foreign language. Through the comparison of real Chinese language writing and the test results, the problem is explored, and corresponding countermeasures are proposed to judge its future development trend. The experimental results show that computer-aided writing software is more recognized and loved by Chinese language and literature researchers. Computer-aided writing software can effectively search for the content of writing, and then integrate resources with reference value, and then perform auxiliary writing based on it, which greatly improves the writing efficiency of Chinese language and literature researchers has increased by about 20%. Computer-assisted writing software is of great significance to the development of Chinese language and literature, and it will be more perfect in the future to achieve more functions.
Feature Representation and Organization Method for Public Opinion Big Data Based on Association Analysis
Authors: Wang Pengju , Xue Huifeng , Zhang Feng
Published: April 2021

In order to improve the data mining level of public opinion big data, by analysing the relationship among semantic web, ontology and RDF (Resource Description Framework), the structure and organization method of public opinion big data association data are separated. Based on the analysis of network public opinion big data organization technology, and then the RDF structure definition of network public opinion knowledge map is given, and the construction method of RDF association analysis map of network public opinion knowledge is realized. Experimental research shows that the proposed method can provide more accurate correlation analysis of public opinion big data, which can effectively realize the analysis and management of public opinion hot events, and provide decision support for the management of network public opinion.
Development Status of Smart Home System in the Era of Internet of Everything
Authors: Ma Zipin
Published: April 2021

Driven by the Internet of things technology, the development of smart home is showing a rapid and vigorous development trend. This paper mainly studies the development status of smart home system in the era of Internet of things. After a long time of operation, the system should check the power supply voltage, check whether the LCD display is normal, whether the wireless module can transmit the signal, and whether the signal collected by the sensor is normal. We check all kinds of interfaces and the circuit works normally. After running for a long time, the program checks the working condition of the chip and checks the working state of the chip. The accuracy test environment of this system is the test of air conditioner, TV and socket in the laboratory. Each command word is tested 50 times, and the number of successful experiments is recorded. The data shows that the average transmission time is about 10 ms, and 99.9% of the data transmission delay is less than 30 ms. The results show that the hardware circuit meets the requirements of low-power design, and the embedded software can reduce the system power consumption and achieve business functions through sleep wake-up mechanism.
Analysis and Research of City Contactless Distribution Based on Big Data Background
Authors: Feng Lifan , Zhang Guibin , Chen Jin
Published: April 2021

Intelligent logistics is a new business model in recent years. It is the product of the combination of traditional logistics industry and Internet technology. Compared with the traditional logistics mode, it has several outstanding development advantages: intelligence, automation, informatization, integration and network compared with the traditional logistics mode, its efficiency has been greatly improved. Based on the perspective of supply chain, this paper uses the application of Internet technology such as big data and cloud computing to develop a new development mode of smart logistics supply chain, so as to promote the development balance of logistics industry and its related industries. This paper takes two famous logistics companies as the research object, analyzes and discusses the advantages of intelligent logistics mode compared with the traditional logistics mode under the vision of supply chain, and then the experiment shows that the former can improve the efficiency of the whole logistics work. On the comparison of the two logistics modes, 45% of the participants in the experimental group are satisfied, and 36% of the participants are satisfied Only 15% of the control group were satisfied. Therefore, the first mock exam is to explain the advantages of intelligent logistics mode under supply chain vision. Based on this, the paper makes some research and Discussion on the development of this mode.
Simulation Application of VR Technology in Communication Network
Authors: Li Meng , Wang Lei , He Zhenquan
Published: April 2021

With the further improvement of the level of informatization, the three-dimensional visualization technology of coal mine safety production has always been a hot issue of current research, among which virtual reality technology is the key technology to achieve three-dimensional visualization. This research mainly discusses the simulation application of VR technology in communication network. First of all, the exchange of data in communication is done in the form of data packets. The data packet transmitted between processes is in binary format, and the content of the data packet is composed of a data header and data content. Then determine the location of the roadway, equipment, and cable to be constructed, and design the object model in 3DS Max. Finally, in order to realize the docking and integration of the digital platform of the whole mine, VIR tools are used to develop the virtual scene platform. In the open-phase fault simulation experiment, the voltage and current parameters of the fault phase are all zero, and the diagnosis result is greater than 0.8. This research improves the management efficiency of power supply and distribution network through real-time communication of mine grid data and integrated display and control of virtual scenes.
Development Trend of Intelligent Transportation in the Era of Big Data
Authors: Wang Jing
Published: April 2021

The arrival of the big data era has brought great convenience to people’s real life. All aspects of our lives follow the development of the big data era. In the context of the era of big data, through data collection and analysis, the current urban transportation has been reasonably developed, laying a good foundation for the development of intelligent transportation in the future, and can solve various current problems. Based on the analysis of the traffic system, this article finds that the real-time road condition prediction of common functions is highly correlated with route guidance. Therefore, this paper uses a method based on historical data to predict road conditions, and uses the prediction results to dynamically allocate road segments, and then uses the relevant single-source shortest path algorithm to simulate the optimal path. By analyzing the application advantages of data mining in intelligent transportation, Baum Welch’s algorithm is used for data mining in a real-time traffic prediction system based on historical data. Real-time road conditions are matched with historical data models to predict road conditions. Finally, analyzed and designed the big data cloud platform framework applied to it to achieve higher efficiency. The experimental research results show that, by studying the development of urban intelligent transportation systems, the purpose of this paper is to make better use of existing resources to process data more efficiently, and then combine distributed data mining algorithms to optimize the processed data and apply it to in the intelligent transportation system, an intelligent management and control system that is more efficient, accurate, and user experience better can be established.
Construction of a Sharing Mode Based on VR Technology in the Context of Big Data
Authors: Chen Fei
Published: April 2021

With the advancement of science and technology in recent years, the era of big data has gradually matured, and the era of intelligence has gradually penetrated into ordinary life. The improvement of technology around the world not only promotes the improvement of the quality of human life, but also has a direct impact on the operating mode of companies in all walks of life. Intelligent products are gradually replacing simple manual work projects. As the core technology of computers, VR technology has been widely used in various fields of social life. As the most imaginative and promising industry in the 21st century, virtual reality technology will completely change people’s lifestyles. Virtual reality technology (English name: Virtual Reality, abbreviated as VR) is a new practical technology developed in the 20th century, including computers, electronic information and simulation. Including all technologies, the basic realization method is the computer VR environment to make people feel immersed in the environment. With the development of social productivity and science and technology, the demand for VR technology in various fields also increases. VR technology has made considerable progress and has become a new field of science and technology, and a proposal to establish a shared model system has been proposed. It aims to improve the state of the technology research and development industry and solve its pain. By combining VR technology with sharing, we will promote the reform of the sharing model, open public scientific and technological knowledge resources to those in need, expand the depth of access to technical knowledge, and increase the difficulty of current Internet knowledge. It aims to solve and improve the quality and satisfaction of people’s knowledge needs.
Application Combination of Virtual Reality Technology and Silent Intensifier Technology in Electric Vehicles
Authors: Lu Shouqing
Published: April 2021

The development of the current era has also led to the gradual emergence of global issues such as environmental protection and energy. Alleviating these issues has become an aspect that every country has to consider. In terms of environmental protection energy, the vigorous development of electric vehicles is an important aspect of our country as a major automobile country to solve environmental energy problems. For this reason, the country has introduced many favorable policies on the popularization of electric vehicles. Domestic electric vehicle companies have also begun to pay more attention to the technological innovation and development of electric vehicles. With the increasing popularity of electric vehicles, electric vehicle technology has ushered in new challenges for electric vehicle companies in various countries. In exploring the silent intensifier technology of electric vehicles, the mature development of virtual reality technology has begun to play an important role in the breakthrough of electric vehicle technology. The use of virtual reality technology to improve the combination of silent intensifier technology in electric vehicles can expand the advantages of electric vehicles, more effectively and quickly manage the silent effect of electric vehicles, thereby improving the driver and the surrounding environment. The enjoyment effect, and make new contributions to the technological development of electric vehicles. The purpose of the research in this article is to analyze the combined application of virtual reality technology and silent intensifier technology in electric vehicles, and to make innovative developments in traditional electric vehicles. This article starts from the maturity of virtual reality technology, takes the current expansion and popularization of electric vehicles as the background, and promotes the innovative development of electric vehicle mute technology as a specific research object on the basis of relevant reality background and theory, and makes full use of the current rapid The development of virtual reality technology is a breakthrough in the innovative development of mute enhancers for electric vehicles. The experimental results show that virtual reality technology can make new developments to the traditional electric vehicle mute technology, and build a new mode of mute booster in electric vehicles.
Analysis on Structural Health Monitoring System of High-Pile Wharf Based on Optical Fiber Sensor
Authors: Guo Chang , Zou Junpeng , Sun Ke
Published: April 2021

With the continuous development of my country’s economy, the demand for various high-tech products has also increased. Therefore, as an important detection tool for industrial production, optical fiber sensors have become one of the important tools for the development of the Internet of Things industry. Real-time monitoring and diagnosis of structural performance of main engineering structures, timely perception of structural damage, safety evaluation, structural performance changes and remaining life predictions Make maintenance decisions to improve, improve and ensure the operational efficiency of engineering structures and protect people’s lives and property. The structural health monitoring system collects data about the status of structural services in real time, uses specific damage recognition algorithms to determine the location and scope of damage, evaluates structural safety in a timely and effective manner, predicts structural performance changes, and provides early warning for emergencies. In recent years, structural health monitoring systems have become one of the hot topics in international academic research. In response to the needs of large-scale civil engineering health monitoring systems at home and abroad for monitoring methods, a method for structural health monitoring of high-piled wharves based on optical fiber sensor technology is studied. The structural health monitoring system of the high-piled wharf includes an intelligent monitoring system and a signal demodulation system.
College English Ecological Teaching Model Based on Computer Network Environment
Authors: Hou Shihan
Published: April 2021

In recent years, ecological teaching of college English has become a research focus. This research mainly discusses the ecological teaching mode of college English based on the computer network environment. The college English classroom teaching and the network autonomous learning classroom under the computer network environment of the university public foreign language teaching and research department are selected as the objective test environment, and the qualitative and quantitative integration are combined to summarize the imbalanced performance in the integration. From a micro point of view, deeply explore the constraints that affect the successful construction of an ecological teaching model in a computer network environment, focus on investigating the “student anxiety” in the network teaching environment, sort out the original text data obtained from the experiment, and conduct scientific statistics on the effective data, quantitative analysis, find out the cause of anxiety, thus complete the experimental design and data collection. On average, 55.6% of students have an anxiety tendency when they study online, and even 35.9% of students have serious anxiety and frustration. This research has guiding significance for the ecological teaching of college English.
Research on Security Mechanism of Service Interoperability Based on Power Grid Computer System
Authors: Zhang Yuling , Wang Jijun , Liu Wencheng , Wang Ting
Published: April 2021

With the gradual development of the power grid computer system, more and more intelligent power equipment is connected to the service system, and the security of service interoperability in the computer system is gradually concerned. This paper evaluates the security problems of power grid computer system, combines PKI system with OPC UA protocol, and uses data transmission technologies such as digital digest and symmetric encryption to ensure the security of data transmission.
Machine Translation and Computer Aided English Translation
Authors: Xu Chuanhua , Li Qianqian
Published: April 2021

With the development of globalization, the contacts and exchanges between countries in the world are getting closer and more frequent. As the most widely used language in the world, English is favored and valued by many non-English speaking countries. In order to facilitate communication, people use computers technology has developed a computer translation tool. The purpose of this article is to explore the difference between machine translation and computer-assisted translation in computer translation, compare the advantages and characteristics of the two in English translation, and point out the direction for future English translation trends. This article uses Google Translator, Youdao Translator and Baidu Translator in machine translation software and Wordfast, WordFisher and iCAT Huoyun Translator in computer-aided translation software as the experimental research objects to compare and analyze the different features and advantages between machine translation and computer-aided translation, and compare the error rate and match rate of the two in English translation. Finally, the experimental results show that the total number of errors in computer-assisted translation software translation is less than that of machine translation software. Among them, WordFisher has the least number of errors, 31 errors in vocabulary, 25 errors in sentences, and 3 errors in punctuation, a total of 59 errors; with the improvement of translation matching rate, the number of translation errors of English professional terminology of machine translation software is increasing, and the error rate is getting higher and higher, when the matching rate is 90-100, Google Translate becomes the software with the most translation errors, and the number of errors reached 78. Studies have shown that computer-assisted English is better and more accurate than machine translation.
Analysis and Research on the Application of Internet Technology in Sports Track and Field Teaching
Authors: Wang Weixing , Yin Guomei
Published: April 2021

Today, with the rapid development of the Internet era, the advancement of science and technology has gradually stepped into our daily lives as Internet technology. The Internet provides a great teaching platform for the innovative teaching methods of the physical education model, providing it with a wealth of physical education resources and informatization and modern teaching technology, in order to realize the reasonable application of Internet technology in the teaching of physical education and track and field. The real role of Internet technology. This paper conducts in-depth research on the practice of using Internet technology in sports track and field teaching, and finds that sports track and field teaching attaches great importance to and lacks in the application of Internet technology to assist teaching, and conducts in-depth analysis and research on the mode of teaching using Internet technology. This paper conducts research and investigation on the students of two experimental teaching classes in the University of Physical Education, and divides them into an experimental teaching class (N=50) and an experimental comparison class (N=50). The purpose is to use Internet technology in actual sports. The research of practice teaching in track and field teaching activities lays a good foundation for the next analysis. The article first analyzes the current status of the use of Internet technology in college sports track and field teaching, and then explores the necessity of its application by optimizing the sports track and field teaching mode and meeting the needs of modern physical education reform. This article takes the innovative research of college sports track and field teaching under the Internet technology as the topic, adopts the literature method, expert interview method, etc., to discuss how to better integrate information technology in the Internet era with college physical education, and then improve college students’ understanding of sports. Curriculum, and even sports interest and attention are discussed and researched, which provides reference information for the innovation of college physical education. The experimental research results show that this article combines Internet information technology with traditional teaching methods, through online and offline interactive teaching, promotes the interaction between teachers and students, improves the teaching effect, and improves the quality of teaching.
Research and Application of Virtual Reality Technology for Undergraduate Online Teaching
Authors: Li Song , Kong Xianmei , Wang Lina
Published: April 2021

Under the strong influence of the COVID-19, online teaching has been carried out in Colleges and universities all over the world. There are essential differences between online teaching and offline teaching. Although the teaching method of live online teaching is novel, a series of problems arise, such as students can’t keep up with the steps of teachers, which is difficult to absorb teaching content and low teaching efficiency. Therefore, the objective of this paper is effectively solve the online teaching, poor understanding and analysis ability, low atmosphere and other problems. In this paper, VR technology e-learning which is new ideas, the design of new VR and online teaching integration way, the construction of online VR classroom and teacher control system, the use of modeling technology to create virtual classroom, cross space real-time teaching, improve the efficiency of online teaching in colleges and universities.