bluuebunny/crossref_metadata_2025 huggingface dataset:
Research on Traceability Modelling of Tobacco Production Quality Based on Information Synergy
Authors: Li Chun , Ji Daoyuan , Lv Bingyang , Zhang Shun
Published: October 2020

To improve the quality of tobacco production accurate traceability, this paper is based on “Quality Information Resource Pool” formed by tobacco production management information system, constructing a causal traceability model of tobacco production quality, researching and development of traceability algorithm for tobacco production quality based on extended event graph. The quality traceability of raw materials, silk, tobacco and cigarette batches was realized successfully, the real-time and accuracy of quality tracing in tobacco production are improved.
A Study of Computer Aided Translation Based on Artificial Intelligence Technology
Authors: Zheng Saisai , Zhu Shengwen
Published: October 2020

Artificial intelligence technology has been widely used in various fields, and has become the inevitable trend of social development. Based on artificial intelligence technology, this paper studies the computer-aided translation. Firstly, the concept and development of artificial intelligence technology are briefly introduced. Secondly, the function and application of computer-aided translation under the background of artificial intelligence are analysed. Thirdly, the application of artificial intelligence in computer translation is expounded. Finally, the development of computer-aided translation is prospected.
Construction of Vehicle Operating Mode Based on K-Means Algorithm
Authors: Yuan Liping , Li Yang
Published: October 2020

The vehicle driving condition(Driving Cycle), also called the vehicle test cycle, is to describe the speed-time curve of the vehicle driving process, which can reflect many kinematic characteristics of the vehicle’s exercise process on the road. At present, the operating conditions of automobile used in China can not meet the requirements of certification and calibration of automobile products, so it is urgent to develop the test conditions that can reflect the characteristics of automobile exercise in China. Using the method of neural network training to amplify the data, we can accurately fill the missing data in the course of driving find out the principal component of the kinematics segment of the vehicle by using principal component analysis, select some of the most expressive kinematics fragments by using the K-means clustering (K-Means Cluster) analysis method, and construct the model of the Vehicle working condition with little error from the real operating condition, thus effectively reduce the error caused by various environment, traffic, road surface and other external factors.
Design and Application of Special Sensors and Internet of Things (IoT)-based Wireless System for Agricultural Information Monitor
Authors: Li Ganqiong , Li Denghua , Chen Wei , Zhang Yongen , Xu Shiwei
Published: October 2020

Efficient and accurate monitoring of agricultural information is the basis of implementing precision agriculture and improving agricultural productivity. In order to monitor agricultural production information comprehensively, accurately and in real time, an agricultural information monitoring system based on Internet of things (IoT) was developed, which could realize online collection and intelligent management of agricultural information. The system is composed of three layers: perception layer, network layer and application layer. The perception layer consists of various agricultural special sensors, radio-frequency identification (RFID) tag module, ultrahigh frequency RFID read/write device and other measurement modules. The network layer is composed of several ZigBee wireless communication nodes, gateway modules, coordinator modules and remote servers. The application layer includes information application system and user terminal. Sensors were developed and connected by wireless networking technology, and the sensor data was gathered and transmitted to the server terminal in real-time. Mobile terminal system was developed synchronously. The system could be applied to various agricultural scenes, such as field crops, animal husbandry, and has the characteristics of high scalability, intelligence, easy to management and use.
A Modeling Method for Integrated Modular Avionics Dynamic Reconfiguration Process Based on AADL
Authors: Liu Lei , Zhao Wei , Jiang Zeyong , Wang Shihai
Published: October 2020

With the great development of integrated modular avionics (IMA), the dynamic reconfiguration of IMA not only provides great advantages in resource utilization and aircraft configuration but also acts as a valid means for resource failure management. It is very vital to ensure the correction of the IMA dynamic reconfiguration process. The analysis of the dynamic reconfiguration process is a significant task. The Architecture Analysis & Design Language (AADL) is widely used in complicated real-time embedded systems. The language can describe the system configuration and the execution behaviors, such as configuration changes. Petri net is a widely used tool to conduct simulation analysis in many aspects. Therefore, we proposed a modeling method of IMA dynamic reconfiguration based on AADL mode, behavioral annex and error model annex in the system level. The model is our first step to analyze and solve the safety problem of IMA system. It can benefit deep analyzing about dynamic reconfiguration of IMA system as the foundation.
A Intelligent Evaluation Model Framework of Online Public Opinion Crisis in Higher Vocational Colleges
Authors: Ren Yongmei , Li Xuejiao
Published: October 2020

Higher vocational colleges should establish a real-time online public opinion monitoring mechanism. Before deterioration trend occurs, take relevant measures to relieve and guide. The current ability to deal with online public opinion crisis needs to improve. This paper puts forward the principle of the warning index system of the online public in higher vocational colleges, designs a new evaluation index system, builds the intelligent evaluation model framework based on AHP, fuzzy evaluation method and BP neural network which can effectively learn the knowledge and experience of evaluation experts. This model framework can make full use of available data in the big data environment and reduce manpower.
Traffic Light Control System Based on SIMATIC S7-300 and WinCC Configuration Software
Authors: Zhang Chunming , Sun Yiyue
Published: October 2020

The old traffic light control systems are mostly realized by digital circuits. With the development of social economy, traffic lights with digital circuit can not meet the increasing traffic pressure. Therefore, a new method must be sought to replace the complex and unstable control system. Nowadays, PLC technology is developing rapidly, and its applicationgs are becoming more and more extensive. It plays an extremely important role in industrial automation and is widely used in various industries. With the development of science and technology, the function of programmable controller is becoming more and more perfect, coupled with miniaturization, low price, and high reliability, tits role in modern industry has become more prominent.
Economic Optimization of Electricity Generation and Sales in Microgrid System Based on PSO
Authors: Song Jianfang , Xu Aidong , Hou Wenjing , Zhang Yunan , Jiang Yixin , Wang Qianru , Mao Zhongqi , Wen Hong
Published: October 2020

In this paper, particle swarm optimization (PSO) is introduced to carry out economic optimization under the microgrid system, and the optimization dispatching problem of the microgrid system [1] is studied. Utilize the role of battery charging and discharging and power exchange of large power grids, with the goal of minimizing the cost of load power supply, and establishing the constraints of distributed power sources [2]. A mathematical model is established for the optimal scheduling problem under the microgrid system composed of wind, solar and storage batteries, and the PSO algorithm is used to solve the model, and the optimized power supply composition and operating cost are obtained, and an optimized scheduling scheme is given.
Sodar Wind Profiler Design Based on Embedded System
Authors: Tian Fenghao , Lou Xi , Yao Zhendong
Published: October 2020

Sodar is a kind of remote sensing measurement device that detects targets by launching sound waves. In the application of atmospheric observation, it is mainly used for wind profile measurement at the bottom of the atmospheric boundary layer. Sodar is mainly composed of the main controller, power amplifier, backward wave amplifier and acoustic antenna. This paper designs a simple sodar with the main controller STM32F767ZI, and the use of RT-Thread embedded system realize the operational control and signal processing of sodar system. The main functions include the drive of transmission, echo acquisition and data transmission. At present, the software system has been developed, all modules work normally, it will be put into testing as soon.
Colombian Companies of Insurtech and their Risk Management
Authors: Mogollón A. , Rubiano A. , Ramirez J.
Published: October 2020

In Colombia, a new trend of technology businesses has emerged, generating significant challenges to the traditional sales schemes of insurers called Insurtech, becoming an exciting aspect to investigate. This new model is increasing, so in the present paper, it presents a characterization of the companies, focusing on the management of risk management The methodology proposed to develop the present work consists of i.) analysis of the official information and, ii.) it applied different surveys to companies, evaluating quantitative and qualitative aspects.
Sociocultural Theory and Its Implications in College English Teaching and Learning in the Age of Artificial Intelligence
Authors: Zhou Weiwei
Published: October 2020

Artificial Intelligence (AI) technology, emerging as one of the three cutting-edge technologies in the 21st century, has greatly changed previous situations of different fields all over the world including education. The advancements in AI have brought college English into a brand new stage as AI serves as an important enabler in the reformation and development of college English teaching and learning. In this paper, the author firstly introduces the basic concepts of AI and Sociocultural Theory, which cast indispensible effects on foreign language acquisition. Then how AI influences educational resources, teachers and students of college English and collaborative activities are discussed. In spite of the benefits AI has brought, challenges and potential drawbacks are also presented. Therefore, it should be noticed that AI technology is properly applied in the field of college English teaching and learning.
Optimization of Dimension-Han Machine Translation Model Based on Neural Network
Authors: Liu Jiatong , Wang Zhonghao , Cui Yanchang , Fan Minghong , Wang Beizhan
Published: October 2020

Machine translation is a natural language (source language) converted into another natural language by computer processing. As the main branch of artificial intelligence, machine translation based on neural network has significantly exceeded the traditional statistical machine translation in small language translation. Resource-poor language has become a hot topic, such as Uygur translation, as a typical resource-poor language, although there are some achievements in Uygur information processing, its basic available tools are very limited. This paper first expounds the background of the topic, briefly introduces the background knowledge of machine translation and the language knowledge of related languages. This paper describes the machine translation method based on neural network, and analyzes the existing neural machine translation methods on Uygur-Chinese translation tasks. The analysis of Uygur, Turkish, Arabic and Japanese finally determines the transfer translation of Uygur in Japanese. The parallel corpus of Uygur-Chinese and Japanese-Chinese are used to experiment.
The Impact of Information on System Operations
Authors: Guan Tianchao , Zhou Shumin , Li Tongfei , Xu Duo
Published: October 2020

The operating system is a complex system that includes supply and demand. Changes in external information have an impact on the operation of the system, especially on both supply and demand. This paper analyzes the supply and demand and establishes the nonlinear programming problem of system operation under the social optimal goal. With the increase of external information intervention, there will be more suitable travel fares for the demand side. However, the supply side’s related operating indicators (for example, frequency, bus fleet, and vehicle capacity, etc.) have shown a trend of first increasing and then decreasing due to existing resource constraints. It can be seen that under the same information interference, there are differences in the law of change between the supply and demand sides. Besides, an example is used to verify the effectiveness of the model. Through the model and calculation examples, we can know that the supplier and the demander can meet their own needs under the social optimal goal. This provides certain theoretical support for future research information on system operation.
Research on Image Recognition of Machine Tool Based on Semantic Segmentation
Authors: Xu Ke , Fei Zekai , Sun Yuan , Ming Hao
Published: October 2020

In the task of image classification of machine tool machining, the coolant water column will block the tool and interfere with the image classification. To solve this problem, firstly, the coolant water column is removed from the image by semantic segmentation. Because the number of samples in the data set is insufficient, the effect of semantic segmentation model is not very good. These results are taken as the input number of image classification model According to, it will directly affect the accuracy of classification, but it is impossible to modify the parameters of semantic segmentation model during classification training. In this case, the image after semantic segmentation processing is combined with the original image according to certain rules, combined with the information of some original images, and then classified. This method can effectively reduce the interference to the classification model when the semantic segmentation model is wrong.
Pseudo RHI Software Developing for Dual-polarization Weather Radar CAPPI Observation Variables
Authors: Yao Liren , Yao Zhendong
Published: October 2020

RHI (range height indicator) is one type of operation and display for radar detection. Pseudo RHI is applying other observation data without RHI operation to generate RHI looks like echoes. Data processing method with interpolation and filter, computer display technology with coordinate transformation and pseudo color, and software development with Python for pseudo RHI are described in this paper. It is shown that this processing is useful for easily analysis and application of weather radar VCP (volume coverage pattern) observation data in vertical distributions of targets echoes for weather nowcast and severe weather warning.
SDAE-LFM: A Latent Factor Model for Recommendation Based on Stack Denoising AutoEncoder
Authors: Luo Jianyan , Xing Xing , Zheng Hang , Xin Mindong , Jia Zhichun
Published: October 2020

Recommendation methods usually associated with data sparsity. The traditional recommendation methods take the users’ rating information as the recommendation basis, which ignore the latent features that can be taking into consideration to model for better recommendations. In order to deal with these problems, we proposed a latent factor model recommendation algorithm based on stack denoising autoencoder (SDAE-LFM), applying Deep Learning technology for latent feature representation learning. A stack denoising autoencoder is applied to extracting feature about item from the label information. Then we factorize the item feature information to perform matrix decomposition training. Finally, we predict the result by the user-item preference matrix. Experimental results on these datasets demonstrate that the proposed recommendation method has better performance.
Research on Identification Method and Device with Active Immune Attack
Authors: Wang Qiangang , Liu Hui , Wu Wenju , Chen Yuansheng , Xiao Shengyuan , Zhan Jiewen , Chen Rui , Xie Yinghong , Zhang Kai , Zu Lianxing , Zhu Xiaofan , Shi Lei , Zhang Zheng , Fang Dongkai , Yin Heng
Published: October 2020

The large-scale establishment of charging devices facilitates the use of electric vehicles and promotes the development of the new energy industry. However, the core chips of most domestic charging devices use imported chips. There may be little-known backdoors in the chips, which may hide large loopholes. Once a cyber war occurs, the consequences are unimaginable. At the same time, with the intelligence and informationization of the power grid, various network attack methods are emerging, and the charging device is located in the public environment, which is vulnerable to various attacks. These attacks may sneak into the internal management system of the charging device and steal other user information, or modify your account balance for unlimited charging through virus intrusion, or even invade the power grid, causing grid failure. Aiming at the above problems, this paper adds the network attack detection module based on stack automatic encoder to the charging device to detect the data flow in the charging device in real time, mine and identify the hidden attacks in the data stream, so as to avoid the attacker further intruding the upper system through the security vulnerability of the charging device, and to improve the information security and operation reliability of the charging device, to a certain extent, it also ensures the safety of the power grid.
Design of Data Transmission System Based on Smart City Integrated Data Center Construction
Authors: Gong Changping , Wang Wei , Cao Jian , Peng Guangrui , Gao Jianglong
Published: October 2020

The construction of integrated data center provides data support services for energy smart city, which is inseparable from the aggregation of various data, such as electricity consumption information and power related data all over the city. Therefore, a stable and efficient data transmission system is needed to complete the data transmission work. But in reality, there are some problems such as the complexity of the public network environment, the diversity of data sources, and the security of source data. In order to solve the above problems, the data transmission system needs to have the following core functions: message forwarding, routing exploration, concurrent transmission, encrypted transmission, breakpoint continuation, error retransmission, etc. Based on socket communication, the system constructs a routing path from the source to the data center by exploring the routing nodes. By encapsulating the messages, the messages exchange and forward the information between the paths. For the source data with high security requirements, it encrypts the transmission. At the same time, it designs the transmission failure protection mechanism, which leads to connection problems in the transmission process, Connection recovery can continue transmission; at the same time, it can continue transmission for some unfinished tasks; it can automatically resend the failed data.
The Quantitative Evaluation Index System of College Student Party Members based on AHP
Authors: Lu Shuisheng , Sun Xiaoying
Published: October 2020

As an important part of colleges and universities, student party members are the foundation of the development of colleges and universities and the progress of society. Although the development of college student party members has made some progress in recent years, there are still some problems. Based on this situation, this paper studies the quantitative evaluation index system of college student party members based on AHP, and analyzes the quantitative evaluation index of student party members and the weight of each level of index. Among the factors of constraint level B, the largest learning evaluation weight (5.3991) has become an important factor affecting the quantitative evaluation of college student party members. Sub Constraint Level C contains 17 secondary indexes Among them, the weight of daily performance evaluation (0.1906) is the largest, which has become the primary factor affecting the quantitative evaluation of college student party members.
RETRACTED: Huaer’s International Communication Strategy based on the Big Data under the Network Multimedia Propaganda
Authors: Wang Bing , Zhang Shikun
Published: October 2020

The international spread of minority folk songs is conducive to promoting the exchange of minority culture and world culture. However, at present, the path of international spread of ethnic minority folk songs in my country is relatively narrow, and the communication channels are relatively limited. Through the analysis of big data, This article proposes certain strategies for the survival innovation and development of Hua’er in today’s society, from the aspects of advancing with the time of the communication content, the return of the communication subject (the communicator and the audience), the diversification of the communication channels, and the development of the cultural industry. I hope it can promote the international communication of Hua’er.
Application of Machine Learning in Computer Vision and Cancer Bioinformatics
Authors: Xie Bingxin , Zhang Shiyu
Published: October 2020

This article focuses on some of the problems of machine learning in computer vision and cancer bioinformatics.Separately, in computer vision, this paper adopts the method based on machine learning to study the face recognition, natural environment image classification, Static Image Behavior Recognition Algorithm;In the bioinformatics, questions relating to the classification of subtypes and stages of breast cancer are explored.
Application Value Analysis of BIM Technology in Assembly Building
Authors: Ouyang Binsheng
Published: October 2020

With the help of BIM Technology, the design, production and construction level of Assembly Building (hereinafter referred to as AB) can be effectively improved, and the production chain from design to operation and maintenance of AB can be more compact and reasonable, which can play a quite active role in the process of realizing energy conservation and emission reduction, reducing pollution and promoting the development and transformation of the construction industry in China. However, in order to achieve a closer combination of BIM Technology and prefabricated building, it is necessary to further run in and improve in practice, which still needs the joint efforts of the practitioners in the construction industry.
Internet Japanese Teaching Based on Computer Aided Technology and Cultivation of Practical Senior Japanese Talents
Authors: Liu Chang , Ge Xiaoyu
Published: October 2020

As one of the most important Chinese foreign languages, Japanese teaching has been carried out for many years, and a large number of basic Japanese talents have been cultivated for various industries. The effectiveness of Japanese teaching and the deepening and expansion of the language application abilities of Japanese talents are not only of great significance to the long-term development of Japanese teaching and the training results of Japanese advanced application talents, but also have an important practical impact on the development of foreign exchange and cooperation. This article starts with the relationship between online Japanese teaching and the training of advanced Japanese practical talents, and analyzes the influence of computer-aided technology network teaching on the training of advanced Japanese practical talents and the ways to realize the training of Japanese basic practical talents.
RETRACTED: Research on the Realization Path of Moral Education in Higher Vocational Colleges Based on Computer Big Data
Authors: Xie Changwei , Shen Xia , Cai Huanhuan , Yuan Zhangjie
Published: October 2020

The brilliance of computer technology has promoted the update and progress of big data period. With the wide application of big data based on computer technique, moral education of moral education in some higher vocational colleges is gradually rising. Its appearance not only adapts to the development of productivity in our country at the present stage, but also verifies the trend of gradual improvement of China’s education level in the new time[1]. In the new time, the fundamental task of Higher Vocational Colleges in China is to cultivate high-quality innovative technical talents. On this basis, schools should also pay attention to the cultivation of young people’s moral character. In fact, it is an necessary goal for colleges and universities to cultivate talents. It has also been recognized by many experts.
Research on the Solutions to the Problems Existing in the Russian Professional Teaching of Independent Colleges Based on Computer Aided Technology under the Background of “One Belt One Road”
Authors: Li Chenchen , Guo Laimei , Li Lanlan
Published: October 2020

With the continuous expansion of the "Belt and Road" economic and trade cooperation system, the demand for compound and innovative Russian talents is also increasing. As an important place for the training of Russian talents, colleges and universities need to keep up with the pace of development of the times, comprehensively and scientifically understand the development opportunities brought by the “Belt and Road” initiative to Russian students in colleges and universities, and constantly enhance students’ professional ability to meet the needs of the market for professional Russian talents. Therefore, Russian teaching in colleges and universities must accurately grasp the ideological connotation of the "Belt and Road" initiative, comprehensively examine the existing problems in Russian teaching, and constantly reform and innovate the strategies of Russian teaching in colleges and universities and strengthen the mode of talent training according to the talent demand standard proposed by the "Belt and Road" initiative. At the same time, the continuous development of computer science and technology provides us with a variety of convenient methods for analyzing problems. Based on this background, this article studies the solutions to problems in the professional teaching of Russian independent colleges based on computer-aided technology.
RETRACTED: Application of Computer Multimedia Technology in the Reform and Innovation of Physical Education Teaching in Colleges and Universities
Authors: Zhu Chunquan
Published: October 2020

The application of computer multimedia technology has a very important support and significance for the implementation of the reform of physical education in Colleges and universities. In the related teaching activities, we should make clear the advantages of computer multimedia teaching in the reform and innovation of physical education in Colleges and universities, scientifically build a set of effective work application ideas, and give full play to its advantages, showing more educational value.
Investigation and Research on Food Safety Knowledge, Attitude and Behavior of University Students in Kunming Based on Big Data Analysis
Authors: Zhang Chunsheng , Liu Rui , Zhang Linyu , Dong Liangfei
Published: October 2020

This article uses questionnaire surveys, combined with computer big data analysis, to study the food safety knowledge, attitudes and behaviors of college students in Kunming. The results show that the awareness rate of safety knowledge of the respondents is low, and their attitude and behavior need to be improved. It is necessary for colleges and universities to carry out food safety publicity and education in various ways, to help college students establish a positive and correct attitude towards food safety, and to guide college students to develop good food safety behavior habits.
Research on the Influence of BIM Technology on Engineering Project Management and Its Development Countermeasures in the New Period
Authors: Peng Chunyan , Liu Sai , Yi Hongwei
Published: October 2020

Large-scale construction projects have occupied a large proportion in China’s construction industry. Realizing the life cycle management of construction projects is the goal pursued by project management. The implementation of life-cycle management can more effectively control the various stages of project planning, implementation and operation to achieve the purpose of adding value to the project construction. However, as the scale of the building and the complexity of the building continue to increase, the construction period increases, the number of project participants is large, and the project management of many large projects is difficult to implement. The emergence of BIM technology brings new opportunities for the life cycle management of construction projects. This paper briefly introduces the characteristics of BIM technology and the impact of BIM technology on project management, and it mainly analyzes the application of BIM technology in project management, in order to improve the design level of the project and improve the construction efficiency and management level of the project.
RETRACTED: Research on the Cultivation of Cross-cultural Awareness in English Translation Teaching Based on Computer Multimedia Technology
Authors: Meng Cong
Published: October 2020

With the continuous development of the times, the importance of education is gradually highlighted. English is the second language most Chinese students learn. In the process of learning, students can not only grasp some basic theoretical knowledge, but also constantly cultivate students’ cross-cultural awareness. Through the cultivation of cross-cultural awareness, students can better understand the content of foreign culture and language. At present, many colleges and universities have carried out college English translation teaching based on computer multimedia technology. By comparing and interpreting the cultures of the two countries, the students deepen their impression of foreign cultures and constantly improve their English level, which promotes their better development.
Application of Computer Network Technology in the Research of College English Teaching Strategy
Authors: Liu Daiqi
Published: October 2020

The emergence of “Internet +” has brought great challenges and opportunities to traditional college English teaching. "Internet +" education mode has become an indispensable part of the current education mode. It not only meets the needs of students attending lectures at any time and anywhere, but also is a major attempt in the reform of education mode in China. Based on the analysis of the current situation of College English teaching mode, this paper proposes an optimization policy based on "Internet +".
Design and Research of Access Control System for Virtual Cloud Desktop
Authors: Zhou Dunkai
Published: October 2020

Virtual cloud computing is a typical application of cloud computing. Based on physical server and desktop virtualization technology, hardware, software, network and data are allocated with virtualization means to provide flexible and scalable service platform for computer applications, which can make more effective use of IT resources, greatly reduce the maintenance and management costs of equipment and application environment, and provide a share Open and efficient experimental computer teaching environment. This paper introduces the relevant technologies of virtual cloud desktop, analyzes the overall architecture of virtual desktop platform and its application in teaching management, and provides ideas and methods for computer experiment teaching innovation management.
Research on the Combination of Information Technology and Oral English Teaching
Authors: Ji Fan
Published: October 2020

The extensive application of information technology, the development of educational resources, the optimization of educational processes, and the improvement of education quality and efficiency in the field of education are the original driving force of education informatization, the promotion of education reform and development, and the cultivation of innovative talents that meet the requirements of the information society. Promote the foundation and premise of educational modernization. With the rapid development of social economy and culture, the integration of information technology in vocational English teaching has become the mainstream. Based on the problems faced by current oral English teaching, this paper explores the possibility of integrating information technology teaching in teaching and the places that need attention, and hopes to provide innovative countermeasures for vocational English teaching.
Research on Ship Energy Consumption Monitoring System Based on Computer Intelligent Technology
Authors: Li Fangxuan
Published: October 2020

With the continuous development of automation technology, and has been widely used in all walks of life, the degree of automation integration in shipbuilding industry has also been greatly improved. In order to ensure the safe and reliable operation of marine power equipment, provide reliable and accurate real-time information for the operation of management personnel, and reduce human error judgment and great waste of manpower, a marine engine room monitoring system based on CAN bus is designed. The system uses computer intelligence technology to improve the real-time detection ability of ship power equipment parameters, and can display the important operation parameters and status of the equipment in real time. [1]When a fault is detected in the running state of the equipment, the system will automatically alarm and record the fault and adjust the operating parameters of the equipment to realize the control of the remote equipment.
Research on the Model of Coordinated Development of Computer Aided Technology in University Library and Local Cultural Construction
Authors: Zhao Fengtao
Published: October 2020

The construction and development of local culture marks the local economic construction. The role, advantages and important functions of local university libraries in the construction of local culture explain the importance of local cultural construction in local development, and the cultural construction of university libraries also proposes that local cultural construction needs to be strengthened. Construction of document reading room and special collection room. The computer aided technology enters the university library and the local culture construction cooperates the development. Large-scale development of cultural resources in the localities and provision of corresponding cultural services. We provide services to the people in need of the society, play a cultural display function, and carry out certain cultural exchange activities according to the society and people’s lifestyles, so as to better provide regional cultural construction services.
RETRACTED: Research on International Trade Trends of Chinese Agricultural Products Based on Computer-aided Analysis under the Background of "One ribbon and One Road"
Authors: Gai Fenqing
Published: October 2020

As a large agricultural country, China has gradually got rid of the production mode of small-scale peasant economy, and achieved a new high income every year. However, with the varieties diversification and trade expansion, trade protectionism in developed countries quickly spread around the world, especially after the United States subprime crisis. The use of computer-aided technology has further restrained the rapid growth of agricultural trade. China’s agriculture imports and exports showed a huge trade deficit until 2012 after the financial crisis was slightly eased. The "One ribbon and One Road" strategy provides a new opportunity for the development of China’s agriculture products international trade. This article first describes one of the "one ribbon, one road" countries along the line of accuracy and standard. Then, this paper makes a simple analysis of the international trade of agricultural products in China by using computer-aided technology. The corresponding conclusions are drawn.Finally, based on computer-aided technology, SWOT analysis and future development trend of “One ribbon and One Road” strategy for China’s agriculture products international trade are proposed.
Research on Trusted Computing Scheme Based on Block Chain and Internet of Things
Authors: Zhang Guowei
Published: October 2020

The popularity of blockchain, Bitcoin and Ethereum in 2017 can be described as an empty alley. However, the reason why such a popular technology has strong vitality must be to find the most suitable application. In view of the security and privacy, lack of resources, network transmission delay and other issues in the current Internet of Things system, analyze the advantages brought by the introduction of blockchain technology, and compare the architecture of the blockchain Internet of Things with the traditional Internet of Things system. Aiming at the problems existing in the application of blockchain IoT, a blockchain IoT architecture based on edge computing is proposed. In this architecture, the data collected by the edge device is filtered and transmitted to the fog node of the fog layer through the multi-interface base station, and the fog node reports the data processing result to the distributed cloud layer based on the blockchain. The fog layer provides positioning, and the cloud layer provides wide-area monitoring. It provides large-scale event detection, behavior analysis and long-term pattern recognition through distributed computing and storage, and combines blockchain technology to provide scalable, reliable and highly available Internet of Things services. Therefore, the proposed architecture has important reference significance for subsequent computer technology application research based on blockchain IoT technology.
Research on Intelligent Diagnosis of Station Line Loss Based on Data Mining Technology
Authors: Zhu Hai , Xu Daoqiang , Zhao Lei , Deng Junhua , Wu Bo
Published: October 2020

The construction time of the distribution network is long and the lines are complex. It is an important component of the power supply enterprise’s business of reducing losses and increasing efficiency. Through the data u mining processing method, based on the big data of the power grid, the use of computer automatic calculation, manual verification and other methods not only realizes accurate positioning of the crux, but also greatly saves analysis and processing time; and solves the line loss problem while completing the redundant and disordered files. The clean-up and repair of power stations and the standardized transformation of the stations with large technical line losses have reduced the power losses in the stations, improved the economic benefits of the power supply bureau and achieved remarkable results. The comprehensive management of the line loss in the station area requires the full cooperation of all relevant departments to effectively control and reduce the line loss rate, which can improve the utilization rate of electric energy, analyze the abnormal phenomenon of the line loss in the station area and further standardize the line loss management measures of the enterprise, so that the company Responding to various special situations becomes stronger.
The Application of Big Data Analysis in the Research of Innovation and Entrepreneurship Education for Humanities College Students
Authors: Zhang Haitao , Yang Chen
Published: October 2020

The advent of the Internet+ era puts forward new requirements for innovation and entrepreneurship education for undergraduates in the humanities. Based on the analysis of big data, this article first elaborates the current research status of innovation and entrepreneurship education in the humanities, and the characteristics that innovation and entrepreneurship talents should possess. Finally, aiming at the unique difficulties and problems faced by the undergraduates of humanities in colleges and universities, this paper gives suggestions and strategies to promote their healthy development.
Research on Intelligent Prediction of Urban Short-term Traffic Flow Based on Big Data
Authors: Lang Haixiang
Published: October 2020

Traffic congestion has been the scale of major cities. Urban highway is an important carrier, which is to ensure the normal operation of the whole city. Therefore, we must establish intelligent transportation system, which is the most effective measure for intelligent prediction (hereinafter referred to as IP) of urban short-term traffic flow (hereinafter referred to as STTF). Among them, STTF prediction and big data are the key technologies, which require us to improve the accuracy and real-time performance of the prediction. This prediction model and intelligent system can be realized according to the idea of IP. The existing STTF prediction research is often based on the shallow model method, which can’t fully reflect the characteristics of STTF. Based on the IP method, this paper proposes a prediction model based on the distributed processing framework of MapReduce and BP neural network in Hadoop environment. Finally, this paper analyzes the basic process of the two runtime.
Using Computer-aided Technology to Analyze the Effect of College Physical Education on the Health of College Students
Authors: Dong Haiyang
Published: October 2020

At present, with the rapid development of China’s education and economic construction, society has increasingly higher requirements for the comprehensive quality of talents. As for the huge pressure of study and employment competition that modern college students bear, most of them don’t have much physical exercise in their spare time. This phenomenon leads to a decline in the physical and health problems of college students, such as some unhealthy conditions such as overweight, obesity and myopia. To this end, this article will use computer-aided technology to analyze the effect of college physical education on the health of college students. In the context of the rapid development of society and the desire for talents, some sharp problems caused by the gradual decline of college students’ physique were discussed, and the society paid more attention to college students’ physique and health problems.
Research on Tibetan Language Resource Construction Based on Tibetan Natural Language Processing
Authors: Chen Hao , Liu Yonghao , Li Hong , Jiancuo Suonan
Published: October 2020

With the rapid growth of science and technology, the research and construction of Tibetan has also accessed a period of rapid growth. Both the expansion of the surface or the depth of the point have reached a considerable level, the theory and means of research have also advanced from the previous, the number of research team, the number and quality of published works greatly improved, the areas involved, the problems solved are unprecedented. At the same time, due to the continuous iteration and updating of the research technology of language and text information processing in the field of Chinese and English, the Tibetan information processing technology has gradually expanded from the processing of text information to the processing of language voice information. However, this is still far from enough, the processing of natural Tibetan language is still not large-scale development. Therefore, this paper uses computer technology to analyze the urgency and importance of the construction of Tibetan language resources from the perspective of natural language processing of Tibetan, and there are few typical examples in the entire research process.
Research on Construction Quality Process Management of Architectural Engineering Based on BIM Technology
Authors: Geng He
Published: October 2020

In the development of social economy, various construction projects are in full swing in the urban construction development. In the information management of construction projects, the most commonly used management mode is the building information model technology. With the help of BIM computer technology, it can not only effectively improve the level of project quality management, but also realize the sharing of information. This paper mainly introduces the application of BIM computer technology in construction engineering management, and then analyses the practical application advantages of BIM computer technology.
RETRACTED: Analysis of Economic Management Problems and Development Trend of Jixi Coal Enterprises Based on Big Data under Coal Economy Situation
Authors: Zhang Heming , Yu Chunyu
Published: October 2020

With the continuous improvement of China’s national economy, the economic management based on big data technology of Jixi coal enterprises is no longer a very rare topic. How to provide support for the sustainable development of economic management based on big data technology of coal enterprises and develop economic benefits is an urgent problem for coal enterprises at present. Starting with some problems encountered in the economic management based on big data technology of coal enterprises, this paper puts forward feasible Suggestions for the sustainable development and efficiency improvement of enterprise economic management based on big data technology under the new normal economy, for the reference of readers.
Design of English Translation Computer Intelligent Scoring System Based on Natural Language Processing
Authors: Yang Hong , Yang Yan
Published: October 2020

With the development and maturity of automatic scoring technology of English composition, the computer-aided composition marking system based on automatic scoring technology has begun to enter colleges and universities to assist English writing teaching. However, there are still many problems in the current scoring system, such as long running time and large deviation of scoring results, which requires us to design an English translation computer intelligent scoring system based on natural language processing. Through the system, we can reduce the workload of manual scoring, which will improve the efficiency of scoring. Therefore, we need to construct the structure of English translation scoring system, including translation data collection module, information feature extraction module, analysis model construction module and result feedback scoring module. By building a language model, the system can translate the probability distribution of specific sentences or word sequences. As an adaptive learning model, BP neural network has more advantages in dealing with the relationship between complex variables. Through BP network model, the system can extract the feature information of translation translation and translation training set. Through fitting calculation, the system will realize the intelligent scoring of English translation.
Research on Teacher Transformation and Development of University Russian Subject Connotation Construction based on Task-driven Computer Model
Authors: Wang Hongling
Published: October 2020

Computer technology is an intelligent technology which integrates knowledge, operability and practicability in the new era. It has the characteristics of large development ability, strong practicality and wide application range. With the rapid progress of computer technology, students’ learning thinking and structure system have changed greatly. The traditional Russian teaching mode has been unable to meet the needs of students’ learning[1]. In the current situation, the construction of Russian subject in university is urgent. At the same time, scholars believe that professional teachers should also make corresponding transformation progress with the addition of computer model teaching technology. On the other hand, experts put forward task driven teaching model. The emergence of this model can greatly enhance the construction of Russian discipline.