bluuebunny/crossref_metadata_2025 huggingface dataset:
Research on Digital Image Technology in Oil Painting Image Processing
Authors: Zhang Yu
Published: March 2020

In this era of information and intelligence, it seems that painting graphics have been seriously marginalized, which also produced how to better develop painting technology in the modern society, this is not only the responsibility of all painters, but also the common cultural inheritance that all human beings need to face. Today’s prevailing digital image technology has had a profound impact on the field of artistic creation, and oil painting has suffered an unprecedented blow in this process. The purpose of this paper is to explore how to make use of modern digital image technology to make the creation of traditional optimization not only retain the traditional flavor, but also keep pace with the pace of The Times. This paper introduces the origin and development of oil painting, introduces the application of digital image technology in the field of painting, and puts forward some strategies to improve the quality of oil painting by preprocessing oil painting with image processing technology. The research results show that in the process of oil painting creation, we should regard oil painting as an extension of imagination, so we can fully enhance oil painting creation with the help of modern technology, or even directly use modern image technology to spray. In other words, under the influence of realism, although the creation of oil painting is largely limited, using image processing technology to create oil painting is a very feasible creation scheme.
RETRACTED: Research on Communication Performance of Ship Network Based on Artificial Intelligence
Authors: Guo Jia
Published: March 2020

In view of the irreplaceable effect of waterway transportation on domestic economic and social development, the artificial intelligence technology and the ship communication technology are deeply integrated to create a modern intelligent ship to adapt to the increasingly high pursuit of modern transportation capacity. This paper analyzes the current situation of ship manufacturing and transportation, and discusses the feasibility and preliminary application description of the artificial intelligence technology that can be used in ship communication design. Finally, a new prospect for the application of intelligent technology in the field of fully intelligent ship technology is presented.
Voltage control strategy of microgrid for multi inverters
Authors: Wang Fei
Published: March 2020

Microgrid technology can solve the large-scale access problem of distributed energy, the key problem to be solved is how to realize multiple distributed electricity. In the work, the integrated control method for droop control and droop control is adopted to realize the microgrid without communication lines. The seamless switching of two modes of grid connection and isolated operation improves the stability and reliability of the system and realizes the control of distributed power supply.
Application of sensor and detection technology in Mechatronics System
Authors: Gui Wei
Published: March 2020

With the development of science and technology, mechatronics production technology has been widely used. However, for many people who are not exposed to the technical system, or will think that Mechatronics is only a technical mode. Mechatronics is an integrated technology, which needs many links. It means that with the development of microelectronics, sensors and other technologies, mechatronics can also make great progress. Before analyzing the key technology of mechatronics, we should first make clear its composition structure to eliminate some people’s misunderstanding. Mechatronics refers to the integration of different important mechanical and electrical work links, with microprocessors and mainframe as the control center, and orderly coordination of work in each link.
Information Interactive Design Method for Smart City Construction
Authors: Han Peng
Published: March 2020

Information interaction design leads the healthy development of smart city Information interaction design intersects with various disciplines and is related to “a kind of conscious information control activity”. It is committed to the reasonable control and arrangement of information, “it pays close attention to the whole process of information expression, processing, retrieval, identification and communication activities”, so as to achieve the effective, convenient and accurate information transmission.
Automatic Extraction of Frequently Confused Words in English Based on String Similarity Algorithm
Authors: Kang Weijie
Published: March 2020

The calculation method for the form similarity of English words is carried out. An algorithm where the upper limit of string similarity parameters can be set is used for automatic extraction of words with similar spellings from a specified vocabulary range. The frequently confused words with similar spellings screened can enrich the English lexical knowledge base after duplicate removal and classification. The frequently confused word knowledge base is of application value in the fields of textbook writing, vocabulary training design, dictionary compilation, and real word misspelling correction.
A Study on Music Education Based on Artificial Intelligence
Authors: Ye Feiyan
Published: March 2020

Artificial intelligence has developed rapidly and is widely used in various fields. Music robots with specific neural networks can understand, analyze, and create music. In this paper, based on the artificial intelligence technology, human music intelligence is analyzed through big data to explore and discuss the construction of various new interactive teaching music intelligent systems in the field of professional music education with music artificial intelligence technology as the platform, seeking a new mode of music perception, cognition, creation, and education.
Application of Electronic Information Technology in Electric Power Automation System
Authors: Li Zheng
Published: March 2020

Forty years of reform and opening up, China’s economic development has achieved world-renowned achievements. At the same time, the power system has also developed rapidly and the degree of automation has continued to increase. The development of power system and power grid infrastructure, computer software and hardware, and communication technology are also inseparable. This article describes the current situation of power development in China, combining three aspects of power system dispatching automation, substation automation, and distribution network automation, and looks forward to its development direction.
Intelligent Agricultural Monitoring System Based on Big Data
Authors: Liang Shu , Yu Zhuoxin , Ma Mingtao , Li Zhuo , Zhong Wenyu , Tang You , Wang Lifen
Published: March 2020

As a major agricultural country in the world, agricultural modernization has always been one of the most important problems to solve. With the development of science and technology, China’s agriculture has evolved from traditional agriculture to smart agriculture [1]. In order to improve the level of agricultural modernization, an intelligent agricultural detection system is designed, which combines embedded real-time processor with various sensors to realize the collection of underlying agricultural information, data transmission through local area networkand monitoring of real-time environmental data information to monitor crops growth. The results of the system show that the system can greatly improve the agricultural production efficiency [2].
Implementation of Machine Tool Remanufacturing Management System
Authors: Deng Hong
Published: March 2020

Aiming at the information management problems of machine tool information, remanufacturability evaluation information, parts information, processing technology and remanufacturing design information in the process of used machine tool remanufacturing, a web-based machine tool remanufacturing management system was developed. The system can flexibly and efficiently manage all kinds of information data in the process of machine tool remanufacturing, and satisfy the function of user’s remanufacturing evaluation and design. The system is mainly consisted of the four functional modules and related model databases including machine tool information management, estimation of remanufacturing cost, assessment of remanufacturing process resource environment property and remanufacturing processes management. The implementation of the system effectively helps enterprises to solve the problem of information processing in the whole remanufacturing process, and realizes the standardization of the process.
Innovative Teaching of Integration of Artificial Intelligence and University Mathematics in Big Data Environment
Authors: Gao Shanshan
Published: March 2020

The rapid development of economy drives the transformation of information technology. With the advent of the era of big data, the demand for artificial intelligence is increasing, which also provides a broad space for the development of artificial intelligence. At present, artificial intelligence is gradually applied to education and teaching, artificial intelligence learning plays an important role in the field of artificial intelligence science development, and provides a good reference in scientific research. In order to effectively integrate university mathematics education into artificial intelligence, it is necessary to effectively combine the inner development of university mathematics education with the essential characteristics of artificial intelligence, to promote the innovative development of university mathematics education, and to give full play to the positive influence of artificial intelligence. In this paper, the author analyzes the development characteristics of artificial intelligence in the big data environment, and combines it with the university mathematics education to propose innovative teaching research, which aiming at promoting the intelligence of education and teaching in China and promoting the innovation of teaching mode.
Development of Distance Teaching System for College Professional Courses Based on 5G Network
Authors: Di Jiajun
Published: March 2020

5G (the Fifth Generation Network) refers to the fifth generation mobile communication network. 5G has three important advantages: large bandwidth, low latency, and large connections. At present, 5G is being implemented in 4K / 8K coding and other technologies in remote consultation, remote monitoring, emergency rescue, remote surgery, and remote teaching scenarios, and has achieved good application results. We can foresee that the future of professional course teaching will be closely integrated with 5G technology, and the informationization of medical course teaching will also continue to increase. To further promote the construction of medical education and information technology. This paper mainly studies the development of distance education system for professional courses based on 5G network. In this paper, the system test in the student results query, class results query, time answer query, student information query and teacher information query test, the connection failure times were 22, 11, 9, 6, 9 respectively, and the successful connection success rate was 99.78%, 99.89%, 99.91%, 99.94%, 99.91%, the database connection success rate is high, and the system can be used.
Modeling and Forwarding Prediction of Social Network Information Transmission
Authors: Zou Yanfei , Liu Shuying
Published: March 2020

With the continuous progress of network information, the traditional way of information transmission is replaced by social network, and gradually become an important way for people to obtain various types of information. In social networks, network users can spread and receive information to the maximum extent within a reasonable range and conduct interpersonal communication on this basis. The basic data of social network is generated by the original information published by network users, and the transmission of basic data is realized through the forwarding of other users, that is, the effective transmission of social network information. The purpose of this paper is to predict the trend and law of network information dissemination by means of modeling and forwarding prediction of social network information dissemination, so as to promote the positive role of information dissemination. In this paper, the relevant definitions involved in social network are analyzed. On this basis, PCA algorithm is used to accurately analyze the network information data. Then, specific analysis is made on the establishment of the transmission model. The experiments in this paper show that the establishment of the social network information dissemination model is conducive to promoting the accurate prediction of information dissemination and realizing the positive dissemination of network information.
Application Analysis of Computer Augmented Reality (AR) Technology in Landscape Design of Rural Revitalization
Authors: Lv You
Published: March 2020

Since the beginning of the new century, the emergence of new technologies like bamboo shoots after a spring rain, they have a strong potential in the future landscape design application in this field. These hardware and technology are widely used in the research of intelligent building, intelligent residence and virtual landscape. Augmented reality (AR) technology projects virtual information into the real world, realizing the real-time superposition of real environment and virtual objects simultaneously. The purpose of this paper is to explore whether it is possible to expand and improve the spatial environment of landscape design through augmented reality (AR) technology, so as to improve the quality of landscape design, and the different applications of augmented reality (AR) technology and virtual reality (VR) technology in landscape design. Based on the rural development and the rapid development of information technology as the research background, adopt the method of historical research and preliminary experiment, selected the domestic a place as a visual programming examples, summed up in the process of rural revitalization of traditional landscape visual planning may exist in the design of the main problems, and on this basis, introduces how to use including biological feedback information collection, geographic information collaboration platform, such as augmented reality technology to the current landscape visual design process optimization and simulation test. The research results of this paper show that the new technology has a certain effect on improving the existing visual planning and design methods, and the specific application of AR technology in various fields also makes the future development trend of AR more clear.
Network computer security hidden dangers and vulnerability mining technology
Authors: Wang Chao , Ren Tianyu , Li Qun , Wang Xiaohu , Guo Guangxin , Dong Jiahan
Published: March 2020

With the development of computer technology and communication technology, computer network will increasingly become an important means of information exchange, and permeate into every field of social life. However, the network has the potential threat and the reality existence each kind of security question, therefore we must take the strong security policy to ensure the network security. The purpose of this paper is to study the network computer security hidden trouble and vulnerability mining technology. In this paper, the types of security hidden dangers are analyzed, and the vulnerability detection technology Fuzzing technology is deeply studied. Then, the inspection and test time is analyzed for the existing vulnerability detection tools. The experimental results prove that vulnerability detection technology can protect network security with high efficiency of vulnerability detection. In this paper, three vulnerability detection tools WS Fuzzer, Web Fuzz and Webvul Scan were used to analyze the detection time of open source system, personal blog, shopping mall and forum. The average detection time was 1.9s, 8.7s, 20.5s and 59.7s, respectively. It can be seen that the vulnerability mining technology has a certain practical role.
Application of New Active Defense Technology in Power Information Network Security
Authors: Li Jing , Huang Jie , Tian Li , Wang Jie
Published: March 2020

With the rapid development of the Internet and the expansion of the network scale, while the network brings unlimited convenience to people, the problem of network security has become increasingly prominent. Network security has become one of the main factors hindering the development of the Internet. In the operation of power network systems, in order to ensure network security, many security technologies are also being continuously applied. In the traditional network security defense technology, passive defense technology is used, all its defense measures are static and all rely on network administrators to implement equipment and manual configuration. In the new network era, the illegal attacks on power network information systems have become more and more frequent, at the same time, hackers’ offensive methods will also be updated and become more sophisticated. Therefore, traditional network security defense technologies have been unable to resist or even cannot withstand. Based on this, this paper focuses on new active defense technologies, analyzes its application in power information network security, and proposes defense of power information network security based on attack detection using honeypot technology suggestions.
RETRACTED: Design of Basketball Sports Data Analysis System Based on Cloud Computing
Authors: Liu Zhenghao
Published: March 2020

The traditional basketball training is basically guided by the coach’s experience and theoretical basis, combined with the general performance of the athlete. Although this method has a certain effect, it depends too much on the coach’s experience level and often does not get the expected results. Aiming at the rigorous and unstable problems of the traditional method, this paper proposes the design of a basketball sports data analysis system based on cloud computing. Through cloud computing deployment, athlete data is uploaded to the cloud, and then the data is stored and managed, and task scheduling is processed and analyzed. In the experiment, the sports data of 2 athletes were compared with the average level of 300 athletes. The results show that athletes X and athletes Y are below average in skill and endurance level, and need to strengthen targeted training in subsequent training to make up for their own shortcomings.
Application of VR virtual reality in film and television post-production
Authors: Chen Dan , Yang Fan
Published: March 2020

In recent years, VR virtual reality has gradually become a hot topic in society. As a medium integrating computer technology, imaging technology and human-computer interaction technology, VR virtual reality brings both a new interactive narrative method in the evolution of media and New means of communication in the era of text change. The purpose of this article is to analyze the current situation of the application of VR virtual reality in film and television post-production, and analyze the predicament of VR virtual reality in film and television post-production in order to help film and television post-production. In this paper, through a questionnaire survey and random selection of 50 students for digital image synthesis majors who have participated in digital film and television special effects production in a university, the survey results are collated and analyzed. 94.69% of students believe that VR virtual reality is in film and television post-production. The application makes the work more colorful. The application of VR virtual reality technology in the late stage of film and television has promoted the development of diversified creation and the development of film and television post production. At the same time, the application of VR virtual reality technology has improved the efficiency of film and television production, reduced the cost of physical setting, and saved resources.
Security Transmission and Storage of Internet of Things Information Based on Blockchain
Authors: Liang Nana
Published: March 2020

The Internet of Things is developing rapidly. Many devices around us are connected through the Internet, and humans have entered the era of the Internet of Things. However, while many devices are connected to the Internet, it also provides more attack surfaces for hackers, so the security issues of the Internet of Things are becoming increasingly prominent. This paper uses asymmetric encryption algorithms and blockchain technology to build a key-based security architecture. In terms of information security transmission, this article uses ECC (Elliptic Curves Cryptography, Elliptic Curve Cryptography) and DH (Diffie-Heilman key exchange, Diffie-Heilman key exchange) as encryption tools for the entire architecture, not just for Encrypted communication between IoT devices is also used for encrypted communication between IoT Internet of Things (IoT) devices and Raft service clusters, thereby ensuring the privacy of sensitive information and the efficiency of data communication. In terms of information security storage, this article uses the blockchain data structure and consensus algorithm to achieve reliable storage. Considering the real-time nature of the Internet of Things, the Raft consensus algorithm is adopted. This consensus algorithm has strong consistency in the existing blockchain consensus algorithms, which is more in line with the requirements of the final consensus consensus algorithm of public chains such as POW. The blockchain data structure is used to store the public key data content submitted by each IoT device. The hash pointer in the blockchain data structure guarantees the integrity and difficulty of change of the stored data.
Application of Cloud Computing in Product Design
Authors: Yang Fan , Chen Dan
Published: March 2020

On the basis of big data, cloud computing and algorithm updating, artificial intelligence has achieved a qualitative leap from theoretical exploration to application research. For product design, the opportunity and assistance brought by artificial intelligence make the design method more meta and the design purpose more novel. The purpose of this paper is to explore the application of cloud computing in product design. First of all, the advantages of cloud computing in home product design and application are summarized from three aspects of security, comfort, ease of use and economy. Secondly, the key technologies of cloud computing in product design are deeply studied, and the significance of cloud computing technology in data analysis of healthy life is discussed. Finally, taking the design of intelligent children’s table lamp as an example, through the collection of competitive brands and user visits to obtain experimental data, the experimental results show that after most consumers buy, the main body of using the product is primary school students, the age range is between 7-13 years old. Most children work at night for more than 2 hours, and long-term night work has a continuous negative effect on young people who are still in the stage of eye development. Therefore, the health intelligent lamp plays a great role in children’s eyes and sitting posture.
The Application of Cloud Computing in Government Management
Authors: Zhang Hua
Published: March 2020

Nowadays, the realization of government functions has been more and more inseparable from the network, at the same time, the public also hope the government to provide more and more convenient and fast related services, interactive functions can also advance with The Times. At the same time, the government wants to make public services more efficient. In the context of big data and cloud computing, the openness and sharing of government-owned data has an extremely important impact on the society. In the process of government management, the traditional management way already can’t adapt to the needs of a large number of data exchange, but now the government management slightly to the research of innovative technology still lags behind, the rise of cloud computing provides a new way for the government management innovation, this article to introduce the cloud computing government management for research purposes, to provide a new way for the government management reform.
Vulnerability Mining Technology Based on Genetic Algorithm and Model Constraint
Authors: Ren Tianyu , Wang Xiaohu , Li Qun , Wang Chao , Dong Jiahan , Guo Guangxin
Published: March 2020

The Internet brings people so much convenience, but also with a variety of viruses, network attacks and other security issues. Vulnerability mining technology is the core technology to solve the security of application software. According to different test objects, it can be divided into source-oriented vulnerability mining technology and binary code vulnerability mining technology. In recent years, software vulnerability mining technology still has many defects, involving dynamic tracking, symbol execution, path constraint collection and solutions. The purpose of this paper is to enable people to safely and safely use the Internet, maintaining the security of network application software has become the core issue of network security. In this paper, by introducing the improved genetic algorithm, the STP solver in KLEE and the improved genetic algorithm and model constraints are implemented to solve the nonlinear constraints in parallel. The solution module of genetic algorithm and model constraint is designed, and the parallel solution module in KLEE and the abstract resolution layer of KQuery are implemented. Finally, the parallel solution module is called by KLEE to generate test cases. The results show that the improved genetic algorithm can solve the nonlinear constraint conditions that cannot be solved in the original model, and generate test cases that can cover the path of the nonlinear constraint conditions, effectively improving the test cover path and test efficiency. Finally, the improved genetic algorithm constraint model is applied to memory leak detection.
Research on Value Assessment of Scientific and Technological Enterprises Based on BP Neural Network
Authors: Li Ximei
Published: March 2020

At present, in the research of the value evaluation of science and technology enterprises, most scholars adopt market method, income method, real option method and other basic research methods. These commonly used methods have some limitations in the application of evaluation. Therefore, from the perspective of BP neural network, the author discusses the applicability and validity of BP neural network in evaluating the value of scientific and technological enterprises, and provides a reference for relevant investment decision makers of scientific and technological enterprises.
Research on the Application of SPOC Online and Offline Hybrid Teaching Mode in College English Curriculum
Authors: Sun Chao
Published: March 2020

The reason why top universities pursue SPOC is that it perfectly adapts to the exclusiveness and high achievement values of elite universities, and helps universities achieve their goal of improving teaching quality. SPOC is the real value of online education in university campus.
Optimization of Road Safety Assessment Algorithm for Automatic Driving Vehicle
Authors: Long Qiong , Duan Xian-Li
Published: March 2020

Autonomous vehicles (self driving automobile), also known as driverless vehicle, computer-driven vehicle, or wheel mobile robot, is a kind of intelligent vehicle which realizes driverless through computer system. In the 20th century, it has a history of several decades, and in the beginning of the 21st century, it shows a trend of close to practicality. Autonomous Vehicles rely on the cooperation of artificial intelligence, visual computing, radar, monitoring devices and global positioning system, so that computers can automatically and safely operate motor vehicles without any active human operation.
Study and application of numerical simulation method for welding process based on Marc
Authors: Gao Qihan
Published: March 2020

The bridge and shipbuilding industry have been troubled by the issues of increased production costs and delays due to the welding residual stress and deformation. It is of great practical significance to study welding residual stress and deformation. In this paper, the FEM software Marc is used to carry out numerical simulation of plate pass welding, and the welding temperature field and residual stress distribution after welding are obtained. The simulation calculation results are qualitatively analyzed.
Research on Computer-aided Translation Technology on the Background of Information Age
Authors: Cheng Xiaoxiao
Published: March 2020

The rapid development of science and technology has brought a strong impact on people’s traditional habits, among which there is no lack of subversive impact. Even in language communication, the progress of computer technology has been involved and achieved a place. Although computer-aided translation software cannot replace translators to complete translation work independently, it plays an important role in translation work. It not only greatly simplifies the work of translators, lightens the burden for translators, improves their work efficiency, but also helps translators to make faster progress in translation, which can be described as half the result. Through the discussion of the help of computer translation technology, computer aided translation software and computer translation software to translators in translation and learning, as well as the application of computer aided translation technology, the author studies the computer aided translation technology in the background of information age.
The Development of IoT Technology in the Field of Intelligent Building
Authors: Wang Xin
Published: March 2020

This paper describes the existing concepts of IoT and briefly explains author’s understanding of IoT. Based on characteristics of intelligent building technology in the era of IoT and its effect on the field of intelligent building, on the basis of a brief description of the current situation of IoT developing in China, it explains the application and development of IoT technology in the field of intelligent building, indicating IoT Technology has a huge developing opportunity in the field of intelligent building, and the time of IoT has reached.
Study on Fault Diagnosis Model of Electric Vehicle based on Learning Algorithm
Authors: Luo Hao
Published: March 2020

As a complex system composed of a variety of mechanical and electrical equipment, the fault of electric vehicle is also complex and diverse. The fault causes of electric vehicles have the characteristics of fuzziness or randomness. As an important part of the electric vehicle, the power battery pack is one of the main fault sources of the electric vehicle, and it is also the focus of fault diagnosis. Therefore, this paper first analyzes the battery fault of electric vehicle, and then introduces the knowledge base and classification method of fault diagnosis model, and finally studies the fault diagnosis model and algorithm of electric vehicle based on decision tree.
A Study of English Chinese Comparison and Translation Skills based on Computer Network
Authors: Peng Shirley
Published: March 2020

Translation should not only be accurate, but also be based on the culture of both languages. This paper expounds the essence of translation, discusses the skills of translation and the complementary role of machine translation in English-Chinese translation in the present era of computer network development.
Research on New and Old Kinetic Energy Conversion Dynamic Factors Based on Cloud Computing-Big Data Service Enterprises
Authors: Geng Xize
Published: March 2020

In China, the “New and Old Kinetic Energy Conversion” was proposed as the latest national development idea, and it was quickly concerned by relevant researchers. Cloud computing - Big data service enterprises, as a representative of new technology innovation enterprise, have become the leading force to promote the new and old kinetic energy conversion. In this paper, the deep dynamic sources of the two kinetic energy conversions are analyzed in details, and the new and old kinetic energy conversion dynamics are subdivided from the national, industrial and enterprise levels. On the basis of the prior research, this paper combines the actual situation of cloud computing-big data enterprises, and finally determines 68 dynamics factors of new kinetic energy replaces traditional kinetic energy of cloud computing-big data service enterprises based on three levels and eight categories.
Analysis of Charging Strategy of Electric Vehicle Battery-bsse on the Operation Mode of Power Exchange
Authors: Li Jun
Published: March 2020

With the increasingly urgent demand for environmental protection, electric vehicle as a non-polluting means of transportation is becoming more and more popular, and has become the focus of research. This paper first analyzes the current demand of electric vehicle for power exchange, then introduces the operating cost of electric vehicle for power station, and finally analyzes and discusses the battery charging strategy in the power station.
Construction of “Audio-Visual Japanese” Digital Course Based on “General Education Curriculum” Cloud Platform
Authors: Chen Yingchao , Duan Hongfang
Published: March 2020

In this paper, the development of new textbooks is taken as the first step, the modern information technology is used to establish a multidimensional stereoscopic teaching mode of “Cloud platform-assisted learning + students’ autonomous learning”, which has effectively improved the teaching effect of the Japanese audio-visual course. This paper is aimed to explore new ideas for building the digital course of “Audio-Visual Japanese’ based on the General Education Curriculum” cloud platform, to improve students’ Japanese listening and speaking skills effectively, and provide a reference for practical teaching and research in this field.
Web Data Mining Technology and Network Information Security Precautions
Authors: He Jun-zhong
Published: March 2020

Based on Web data mining technology to discuss with the security of network information. This paper herein first briefly introduces the Web data mining technology. Then it analyzes how to construct the network information security model under the condition of Web data mining. Finally, the network security model is discussed by using Web data mining technology which may provide reference for readers.
Analysis on the Cooperation Mode of Robot “Industry College” Based on School-Enterprise Integration
Authors: Tian Jia , Fang Jian
Published: March 2020

The “1+1” school-running model of the Robot Industry College integrates vocational and technical teachers’ colleges with high-quality enterprise resources, giving full play to the advantages of both schools and enterprises, and will train more qualified personnel. This article starts with the cooperation goal and cooperation content, and imagines the cooperation mode of the Robot Industry College.
Design of Logistics Information Management System Based on Information Technology
Authors: Zhang Hongquan
Published: March 2020

With the advancement of the times, network technology has gradually replaced manual operations; intelligent management has saved time and effort, and can ensure the efficient operation of enterprises. Information agencies We must be proficient in the application of logistics management information technology, which is also an inevitable result of the development of society to a certain historical stage. The arrival of the conference changed the face of the whole society. People have long been inseparable from smartphones and computers, and industries are increasingly dependent on information technology. As an important part of social and economic development, logistics enterprises bear the responsibility of freight transportation. Under such a development background, only by adopting scientific management methods scientifically and continuously making progress can we promote the sustainable development of enterprises. This article uses modern logistics and logistics information methods to explain the role of information technology in logistics information management. Introduce some design requirements of logistics information management system. Analyzing the problems of logistics management informatization and the reasons for the lack of modern logistics management informatization, it is concluded that logistics enterprises must pay more attention to logistics management informatization and apply it widely. Improve the relevant standards and levels of information technology, strengthen the supervision and management of information construction, and high-quality information technology.
Clustering Reduction Method Analysis of Rough Set and Decision Tree based on Weight Matrix Analysis
Authors: Wang Lan , Zhang Yi
Published: March 2020

Decision table is a kind of special and important knowledge representation system. In this paper, rough set theory is used to discretize data and reduce data and rules. From the definition of resolution matrix, it can be seen that the shorter the length of an item in the resolution matrix, the greater the effect of this item on classification. And the more frequently the item appears, the more important it is decision tree. Construction of decision tree is a cyclic recurrence process. The paper presents clustering reduction method analysis of rough set and decision tree based on weight matrix analysis.
Analysis of China’s Internet of Things Patents Based on Cloud Computing
Authors: Zhu Weijian , Tang Yang , Bai Dan
Published: March 2020

With the continuous development and progress of information technology, the Internet of Things has been practically used in many areas of people’s lives. The Internet of Things technology, as a collection of connected things, has storage and computing capabilities, which greatly meets the needs of society and people. Cloud computing is an important foundation for the long-term exhibition of the Internet of Things technology. It combines the products of parallel distributed computing technology, network storage virtualization technology, load balancing traditional computer network technology and other technologies, and its computing method is a comprehensive computing the way. This article is based on China’s cloud computing IoT patent application data as the analysis object. It conducts qualitative and quantitative analysis on patent-related trends, related technology composition, and applicant rankings. It reflects the current status of the development of IoT technology and is beneficial to domestic R & D institutions in the field of networking find research blind spots and choose appropriate research directions on their own.
Design and Implementation of Cloud Note System in University Classrooms
Authors: Guo Xin , Chen Tanglong , Wang Yongjiang , Tang You
Published: March 2020

In view of the disadvantages of paper notes that are not easy to save, not conducive to record, and easy to miss information, this fast personal note-taking software is designed with simple and efficient operation interface, which can cross different platforms. The system chooses B/S architecture, Spring + Mybatis framework in the background, and HTML + JS + Ajax technology in the foreground. MySql is adopted in the database to realize data storage. It mainly includes six functional modules: Notebook module, Note module, Recycle bin module, Collection module, Activity module and User module. Through the cloud note system, it is convenient for teachers to prepare lessons, record key teaching points, and collect students’ homework. Students are easy to record knowledge points in class. It can improve both work and learning efficiency.
Monitoring Data Analysis Technology of Smart Grid Based on Cloud Computing
Authors: Qiu Ziliang , Chen Rui , Yan Mengqiu
Published: March 2020

In the smart grid environment, the state data has the characteristics of wide area, panorama, mass and reliability. The traditional storage hardware uses disk arrays and the database management software uses the relational database system. Due to the poor system scalability, high cost and low reliability, it is difficult Adapt to requirements. Based on the above background, the purpose of this article is to study the research of cloud computing-based smart grid monitoring data analysis technology. Aiming at the problem that the power equipment condition monitoring data is getting larger and larger, and traditional storage methods cannot meet the condition monitoring big data storage problem, a cloud platform-based condition monitoring data storage system is designed. Using the distributed file system HDFS and Hbase databases to store status monitoring data, this paper designs a clustering algorithm based on the density cluster structure, DBCLustering, based on the shortcomings of traditional density clustering algorithms. This algorithm first builds the core reachability relationship of the data nodes The index structure CR-Tree is then used to extract a sorted linear table about the reachability relationship of the data. Finally, the clustering results are output according to the results of the linear table. In order to solve the problem of insufficient computing power of the stand-alone version of the algorithm, a clustering algorithm for condition monitoring data based on Spark-RDD-DBClustering algorithm is proposed. This algorithm realizes the parallel application of DBClustering algorithm under Spark platform, and improves the algorithm’s ability to process large-scale data.
Image Matching Method Based on Laplacian Feature Constrained Coupling Variance Measure
Authors: Yang Hongwei , Qi Yongfeng , Du Gang
Published: March 2020

In order to overcome the current image matching algorithms, which mainly use the distance information between pixels to achieve feature matching, ignoring the variance information between images, resulting in more false matching in the matching results, this paper designs an image matching method based on Laplacian feature constrained coupling variance measure. Firstly, Harris operator is introduced to extract image features roughly. On the basis of rough extraction, Laplacian feature of pixels is used to optimize the extracted image features to obtain more accurate image features. Then, the gradient feature of the image is used to calculate the direction information of the image. Based on the gradient feature, the neighborhood of the feature points is established, and the Haar wavelet value in the neighborhood is obtained to obtain the feature vector. Finally, the regional variance model is used to measure the variance information of the image, and it is introduced into the process of image feature matching. The variance information is added on the basis of Euclidean distance measurement of feature points to achieve image feature matching more accurately. RANSAC method is used to purify the results of feature matching, eliminate mismatching and complete image matching. The experimental results show that compared with the existing matching algorithms, the proposed algorithm has better matching performance and higher accuracy, which accuracy maintained above 90%.
A Multi-person collaborative Simulation System for Subway Emergency Based on Virtual Reality
Authors: Jiang Tao , Qiu Yahui , Li Fang
Published: March 2020

In the operation of urban rail stations, joint emergency drills for different types of work are an important way to ensure the safe operation of urban rail stations. However, due to the lack of equipment and means, at present, the joint emergency drills for urban rail stations are mostly a single-person system. Based on the current status of emergency joint drills in urban rail stations, this article proposes a virtual reality-based multi-person collaborative urban rail station emergency simulation system. Construct a large-scale virtual reality scene through the viewpoint-related LOD quadtree, and use socket technology to achieve multiplayer online interaction. Finally, all models are jointly driven by Unity3d in the simulation scene. An immersive, multi-industry coordinated urban rail station emergency drill simulation system was constructed. Providing a simulation training environment similar to the actual situation for emergency trains in urban rail stations can greatly improve the shortcomings of difficult and inefficient implementation of the organization, and change the difficult situation of insufficient emergency drills for multiple types of rail stations.
Hospital Nursing Information Sharing Platform based on Improved Particle Swarm Optimization Algorithm
Authors: Xie Shiyu
Published: March 2020

Traditional sharing platform adopts manual input information, and the sharing process is inefficient. A hospital nursing information sharing platform based on improved particle swarm optimization algorithm is proposed. The main index structure of the patient was designed and the information input was completed. The priority random swimming data transmission algorithm is used to transfer nursing information. The information sharing mechanism of particle swarm optimization (PSO) is analyzed, and the sharing platform is designed according to the optimal position of individual particles. Experiments show that the shared platform can achieve high speed interaction of hospital nursing information.
Distributed Storage and Computing Technology in New Energy Real-time on-Board Data
Authors: Wang Yingzi , Hou Jue , Chu Sisi
Published: March 2020

The development and application of new energy vehicles has always been the focus of the government. As far as the users of new energy vehicles are concerned, the safety and energy-saving effects of operating conditions are of vital importance. Therefore, to fully promote the development of new energy vehicles, we must do a good job in the statistics and processing of new energy real-time vehicle data. This article focuses on the analysis of the effects of distributed storage and computing technology on real-time on-board data processing for new energy vehicles to provide solutions to the difficulties of countries and enterprises in the research and development of new energy vehicles and promote he energy saving of the state and enterprises.
Prediction of Regional Economic Trend with f Improved BP Neural Network Algorithm
Authors: Liu Anmin , Zhu Jiang , Yue Donghai , Liu Guangxin
Published: March 2020

Traditional BP neural network-based prediction method cannot accurately predictregional economic trend, and the operation efficiency is low. To this end, a method based on improved BP neural network algorithm is developed to predict regional economic trend. The Cobb-Douglas production function is used to select the most influential number of working people and economic investment in fixed assets, fiscal expenditure, gross foreign export value, retail sales of social consumer goods index as the sample data and normalized. The error of sample data is calculated by TangXC_BPModel model, and the the weights are modified uniformly so that and the regional economic trend is predicted accurately.