bluuebunny/crossref_metadata_2025 huggingface dataset:
RETRACTED: Research on the accurate service and management innovation of University Library Based on the big data of readers’ behavior
Authors: Fu Xin
Published: March 2020

Nowadays, big data thinking and technology have gradually infiltrated into the daily management and service of university library. The university library should innovate the service concept, cultivate the big data thought consciousness, adopt the mining technology, provide the accurate and personalized service, build the exchange platform, enhance the user experience service, the extensive application of the data resources provides the strong support for the University Library Reader Service Reform and innovation, and provides the new development thought for the reader service innovation and development. This paper studies the challenges faced by the reader service of University Library in the era of big data, and puts forward suggestions to improve the reader service level of university.
A study of Online and Offline Hybrid College English Classroom Teaching Reform based on MOOC Platform
Authors: Jiang Xu
Published: March 2020

In view of the defects of traditional teaching in teaching concept, teaching subject and teaching evaluation, this paper puts forward a design scheme of online and offline Hybrid Teaching Platform Based on “Internet +”. The practice shows that the design and application of hybrid teaching platform can effectively improve the interaction between students and teachers by making full use of online and offline teaching resources.
Research on ESP Hybrid Teaching Mode in Application-oriented Universities under the Background of Internet
Authors: Zang Lei
Published: March 2020

The network school originates from the Internet economy, also can be said to be the Internet and the education teaching fusion result. In the period of social transformation and upgrading, the demand for social education is particularly obvious, and online schools are more popular than formal education. With the help of the network, it is flexible and changeable to realize the organization of network distance education. Through the network platform teaching, students cannot know teachers and teachers cannot see students, even thousands of miles apart, do not affect the normal teaching work.
Research on Language Ability Assessment Method Based on Computer Contextualization
Authors: Kong Xiangwei
Published: March 2020

Language is the main way of human social communication, language ability in people’s life learning and social work has a very important role that is a basic ability one must have as well as be trained from a child. Language is the main tool for people to communicate with each other, it is the carrier of all kinds of information transmission. Language is one of the main ways to inherit culture, which is an important force to promote social progress and development. The cultivation and development of language ability affect everyone’s status and development prospect in society in the future. Therefore, great attention should be paid to the cultivation of language ability. To cultivate and develop language competence, we must first understand the current situation of language mastery and evaluate language competence.
RETRACTED: Small Study in the Big Data Era: Application of Network Information Resources in Japanese Learning and Translation Studies
Authors: Duan Hongfang , Chen Yingchao
Published: March 2020

With the advent of the era of big data, Internet + has been included in national strategies, bringing unprecedented opportunities and challenges to all walks of life. Higher education is no exception. Internet + education is a major subject that requires a lot of effort to think about in foreign language teaching in colleges and universities. As an essential carrier of network information resources, iPad features massive information, mobile convenience, and robust interaction, which is quite suitable for the teaching of various courses. In this paper, the possibility of using the iPad in Japanese literature translation courses to enrich the teaching modes and concepts is explored.
Problems and Countermeasures of MOOC in Higher Education Teaching
Authors: Sui Xin
Published: March 2020

While MOOC brings opportunities, it also poses challenges for traditional university education. This paper mainly investigates the influence of MOOC on the traditional university classroom and teaching management in China, and discusses the corresponding strategies for some problems.
Design and Implementation of Food Security Traceability System based on Internet of Things Technology
Authors: Wang Yuduo
Published: March 2020

The production, circulation and consumption of grain have a direct bearing on the vital interests of the people and the state. Since ancient times, food security has been the foundation of economic development, social stability and national self-reliance. Therefore, food security and food security must be effectively guaranteed in order to promote the sustainable development of the national economy. According to the introduction of the industry, in China, there are still threats to food security factors. First of all, due to the low comparative benefit of grain planting, farmers are less and less motivated to grow grain, which directly limits the improvement of China’s grain supply capacity. This paper mainly studies the design and implementation of food security traceability system based on Internet of things technology. This paper combines Internet of things technology to design food security traceability system for food security problems. The “household settlement card system” based on RFID technology enables farmers to swipe their credit CARDS to sell grain by issuing them to grain farmers free of charge. Farmers sell grain, subsidies management more convenient. Grain sales and subsidies can be directly deposited into the bank account associated with the settlement card of farmers, so as to avoid farmers carrying large amounts of cash and facilitate farmers.
Discussion on Fine Management Level of Real Estate Development Project Based on FAHP
Authors: Xiong Zhihua , Zhang Pan , Guo Di
Published: March 2020

With the rapid development of social economy, the real estate industry has become an important part of China’s national economy. In recent years, due to the increasingly exposed drawbacks of extensive management within real estate enterprises, it is particularly urgent for enterprises to implement refined management. Through the analysis of the entire process of real estate project development, this paper recognizes the key factors affecting the refined management level of real estate projects and establishes a refined management evaluation model based on Fuzzy Analytic Hierarchy Process (FAHP). The practical engineering case is taken as an example to verify the feasibility and reliability of the model. Moreover, this model provides a certain reference for the establishment and optimization of the subsequent refined management model as well.
Information Construction of Brand Marketing System in the Internet Era
Authors: Li Wenqing
Published: March 2020

Brand marketing is an important marketing strategy. Through marketing, it enables customers to recognize the brand and products of the enterprise, which can greatly improve the brand awareness of the enterprise. At the same time, it improves the customer’s concern and demand for products, so as to achieve good and sustainable profit growth for the enterprise. In order to gain a good competitive advantage, an enterprise must build a high-grade marketing concept. In marketing, the marketing network is not the bigger the better, but to make full use of brand symbols, so as to build an invisible marketing network in the hearts of the public and deliver products to the hearts of consumers. Through brand marketing, consumers are willing to pay for products, and to recognize enterprises and brands. In today’s Internet era, enterprises should pay more attention to the information construction of brand marketing system, and integrate Internet thinking into brand marketing strategy, so as to further improve the marketing effect.
Cognitive System of Chinese Modal Verbs from the Perspective of Cognitive Science
Authors: Yao Wei
Published: March 2020

The combination of cognitive science and linguistics has been a matter for nearly a decade or two, which results in the birth of a new marginal subject-cognitive linguistics, indicating a new development trend in language research. Modal verbs are highly grammatical, framed verbs that have relatively prominent cognitive features in language. Over the past two decades, Chinese modal verbs have received considerable attention from many different perspectives. Studies thrived, focusing on its formal aspects, such as the semantic features, modality, primarily syntactic features. By contrast, the delineation for its cognitive system is rarely seen. From the perspective of cognitive science, this research to some extend presents the cognitive process the psychological representation of modal verbs in conceptualizers’ mind.
Application of Information Technology in Employee Training
Authors: Wang Naiyu , Li Xiuhua , Song Chunxiao , Li Li
Published: March 2020

This paper presents the application of information technology in employee training of the State Grid Corporation of China (SGCC). It focuses on the construction and function of online learning platform, the development of Corporate Massive Open Online Courses (MOOCs), and employees learning method. The Corporate MOOC platform is built on the enterprise cloud server and plays a critical role in the construction of enterprise culture, the publicizing of enterprise policies, the recruitment and training of employees, and the appraisal and promotion of employees’ abilities. The Knowledge Integration Center organized staff teams to build competency models and create MOOC contents based on industry skill requirements, maintain consistency between MOOC contents and competency models, and place them on a cloud-based MOOC platform. By using digital technology, instructional services are supplied to employees and assessment systems have been built, and assessment systems make great contributions to employee recruitment, training, appraisal and promotion. The Corporate MOOCs provides a good opportunity for those employees who can’t leave their jobs to learn at their own pace and have a positive relationship with the improvement and innovation of employees’ abilities.
Using Compound Situational Teaching Mode to Improve Students’ pipa Playing Effect
Authors: Zheng Cong
Published: March 2020

Pipa playing is an artistic and comprehensive performance, which requires students to actively dabble in many aspects of knowledge, especially to strengthen the research and exploration of aesthetics and literature. Therefore, in the process of pipa playing, students need dual emotional experience guidance and emotional expression. The practice shows that it is an important condition for the success of pipa performance to have standardized, generous and stretched pipa playing movements. This paper expounds in detail the skills of pipa playing, and strengthens the embodiment of students’ emotional expression by using various teaching methods, in order to improve students’ playing literacy in an all-round way.
Model on Problem Characteristics and Sustainable Development of Rural Tourism in Guangdong Province Based on Type Attribute
Authors: Wang Ning , Du Changchun
Published: March 2020

The 19th National Congress of the Communist Party of China stressed the new urbanization strategies, pointing out the promotion of the development from traditional urbanization to new urbanization, which contains the development characteristics as urban and rural overall development, industry interaction, economical and intensive land and harmonious development. It aims to solve the issues relating to agriculture, farmers and rural areas with the strategy of rural vitalization which takes rural tourism as the starting point to drive the development of rural economy, and then realizes the new urbanization. The purpose of this paper is to study the problem characteristics and corresponding classification of rural tourism in Guangdong and establish the sustainable development model of rural tourism in Guangdong. This paper starts from the perspective of rural revitalization, takes the new urbanization as the background, combines the theoretical basis and the realistic environmental factors, extracts the development appeals, existing main problems and causes of rural tourism in Guangdong, and classifies them by combining the characteristics of resource types and other factors. On this basis, combining with the successful experience of rural development at home and abroad, this paper puts forward the selection of the pedigree of sustainable development mode of rural tourism in Guangdong, and the differentiated and targeted design responding to control countermeasures and safeguard mechanism of sustainable development of rural tourism in Guangdong in the context of new urbanization. The experimental results show that the establishment of the sustainable development model of rural tourism can effectively alleviate the existing problems in rural tourism, promote the development of new urbanization and realize the strategy of rural revitalization.
Fuzzy Evaluation Method of Teachers’ Informationized Teaching Ability
Authors: Liu Shuang
Published: March 2020

Information education is of great strategic significance to promote educational innovation and improve talent training in higher education. It is a necessary choice to realize the sustainable development of education, and it is the core competence of teachers in the information age. At present, the researches on teachers’ informationized teaching ability mainly focus on the meaning, structure and ability elements, and there are few explorations on the evaluation methods. Through the research of previous literature and related theories as well as Delphi method, this paper analyzes the index composition and weight distribution of teachers’ informatization ability, and constructs the evaluation model of teachers’ informatization ability by using fuzzy evaluation method to realize the qualitative and quantitative evaluation of teachers’ informatization ability. The purpose of this paper is to provide some references for teachers’ ability evaluation and promotion, and also to provide a basis for schools and regions to formulate teacher training plans and school informatization development plans.
Development of Measurement and Control System of Bearing Performance Test-Rig Based on PLC Control
Authors: Feng Lu
Published: March 2020

With the progress of science and technology and the continuous development of social economy, the traditional manual production is gradually replaced by modern equipment production. As the most important part of modern equipment, bearing is the guarantee of normal operation of modern equipment. In order to ensure the normal work of the bearing, it is necessary to conduct real-time measurement and control of all aspects of the bearing performance. The purpose of this paper is to promote the establishment of bearing test bench under PLC control technology, to realize data collection and monitoring of bearing performance, to promote the scientific nature of bearing test, so as to continuously improve bearing technology and help the development of social production. Firstly, PLC control technology is briefly introduced in this paper. On this basis, a specific scheme is proposed to realize the measurement and control system of bearing performance test bench, and the reliability of the system is tested by system equilibrium model algorithm. Experiments in this paper show that the system can realize real-time monitoring of bearing performance and ensure the scientificity and accuracy of bearing performance test.
RETRACTED: A Relationship Model between Teachers’ Scientific Research Output and Teaching Ability based on Big Data Analysis
Authors: Wang Mingxing
Published: March 2020

The relationship between scientific research and teaching is a focal point in the development of higher education. In different environments, the relationship between scientific research and teaching has different characteristics. With the continuous development of society and economy, the teaching and research in universities are facing new demands. The former elite education model is facing unprecedented challenges, and the relationship between teaching and research is being re-examined. At present, the research on the relationship between scientific research and teaching is mainly based on questionnaires. This paper USES big data analysis to design a model of the relationship between teaching and scientific research, and further empirical analysis of the relationship between the two. The aim is to deal with the relationship between teachers’ teaching ability and scientific research output correctly, promote the coordinated development of scientific research and teaching, provide a more favorable environment for the benign development of higher education, and further promote the development of colleges and universities in China.
RETRACTED: Method of Constructing the Innovation Service Platform of Colleges and Universities based on Artificial Intelligence
Authors: Du Lina
Published: March 2020

With the promotion of AI to national strategy, it will have a profound impact on various industries in China. Colleges and universities should follow the trend of the times, seize the pace of the “Ai” era, and apply “Ai” to the service platform of colleges and universities. The purpose of this paper is to study the application of artificial intelligence in service platform. First, the paper analyzes the technology of artificial intelligence, puts forward the way that artificial intelligence can build university innovation service platform, and defines the construction method of University wechat innovation service platform. Using the method of questionnaire, based on the theoretical analysis and network survey, the questionnaire is designed. The users of the regional university library are selected as the survey objects, and the questionnaire is distributed within the scope of the University. The experimental results show that in the investigation of the reasons for the readers’ infrequent use of the library’s personalized services, according to the investigation of all the problems that may lead to the readers’ infrequent use of the library’s services, 48.2% of the readers expressed that they did not understand the library’s information resources; 38.85% of the readers thought that the library’s services were lack of personalization and pertinence and were open Communication with new media platform is also the inevitable direction of the development of University Libraries and service systems in China.
VR Painting Technology of Theme Creation
Authors: Li Shibing
Published: March 2020

Since the founding of the People’s Republic of China, from MAO zedong to xi jinping always adhere to the cultural construction in the important position of national construction, adhere to the leadership of the party for cultural construction, adhere to the guidance of marxism for cultural construction, adhere to the “use of the past for the present” “foreign for the use” construction of new socialist culture. In cultural construction, it is urgent to develop the theme creation related to culture. At the same time, with the gradual development of artificial intelligence, VR (virtual reality) has gradually entered people’s vision, and VR has also been combined with innovation in various fields. The purpose of this paper is to study the mechanism of combining VR and painting technology on the premise of subject creation. In this paper, from the perspective of theme creation, with the strategy of “VR +” as the background, combined with the realistic background and the related theoretical research, to promote the development of VR painting technology as the research object, from the possibility and necessity of VR painting technology development two aspects of analysis, combined with literature analysis in VR painting theme creation technology can be from what respect to innovate and improve, on the basis of this puts forward Suggestions of technical innovation and development of VR painting and plan, in the hope of theme creation VR painting technology development to a higher level, for the development of VR broaden the field. The experimental results show that VR painting technology can alleviate some difficulties in theme creation, promote the innovative development of theme creation, realize the new development of cultural construction, and enable more new art forms to sprout in cultural construction.
Application of Artificial Intelligence Technology in Basketball Games
Authors: Liu Zhenghao
Published: March 2020

With the vigorous development of computer technology, artificial intelligence technology has also been greatly improved, and its application in sports competitions has become more and more widespread. The basketball game is a fierce rivalry under the team. In addition to testing the physical fitness of athletes, the ability to independently coordinate and plan athletes needs to be tested. Artificial intelligence has great application value in basketball games. Applying artificial intelligence technology to field decision-making in basketball games, real-time display of basketball game field data in real time, assisting coaches in field analysis and decision-making, can provide targeted training goals for daily training, and has strong application value. In this paper, an artificial intelligence assisting system for basketball game field decision-making is constructed to explore the application of artificial intelligence technology in basketball games. This paper tests the system proposed in this article through simulation experiments. The test results show that in the module test, the module error rate is 0.5%, the reliability is high, the module functions can be basically realized, the system responds quickly, and the security is high. The results of this paper will provide a good paradigm role for the application of artificial intelligence in sports competitions.
Analysis of the Application of Artificial Intelligence in Computer Networks Technology
Authors: Chen Changhua
Published: March 2020

With the development of information technology and the continuous improvement of development level, artificial intelligence technology has also made better development. There are more and more application scenarios of artificial intelligence technology in computer networks, and it also plays a key role. Aiming at the shortcomings of traditional computer network routing methods such as slow iterative convergence and high resource occupancy, this paper proposes an artificial intelligence routing method based on optimized PSO. Based on the principle of the PSO algorithm, a mathematical model for optimal link optimization of a computer network is constructed, and local optimization is performed for the shortcomings of the classic PSO algorithm. The optimal path labelling function is given to the particles, and the optimal network is identified by continuously updating the current position and current speed. Link topology and travel path. Simulation results show that the proposed artificial intelligence method has faster iterative optimization speed, lower network delay, lower hardware resource occupancy under the same number of nodes and network structure, and can improve and improve the foundation of computer networks.
Design and Research of Intelligent Seats for the Elderly
Authors: Lu Xiaomeng
Published: March 2020

This paper takes SCM of arm31 as the core to upgrade the function of intelligent seat for the elderly. To ensure that the SCM system can directly take over the system to form an automatic risk change out when the seat is in a dangerous state such as uncontrolled sliding and excessive three-axis inclination. At the same time, the system uses iFLYTEK voice recognition module to realize the voice control of the seat, and the system uses the vital signs related app of the contracted hospital to realize the automatic alarm function of the hospital. The use of the seat can effectively improve the daily out safety of the elderly. It is very important to improve the quality of life of the elderly.
Intelligent Application of Intelligent Technology in Network Security Defense
Authors: Jiang Lan
Published: March 2020

Intelligent technology, which began to appear and gradually developed in the second half of the last century, is now in the forefront of science and technology and is the benchmark of the level of computer in a country. With the rise of intelligent technology, the network tends to be more and more open, the attacks are more and more intelligent, and there is a lack of security defense technicians. After the intelligent technology has been widely used in spam processing, illegal intrusion detection, expert system and other network security defense, the network security defense has become more secure and reliable than ever, and the security has been well guaranteed.
Application of Music Artificial Intelligence in Preschool Music Education
Authors: Yu Lin , Ding Jiaran
Published: March 2020

AI teaching is an important part of Internet + education and intelligent education, and also an inevitable trend of the times. Through the automatic language and language sense recognition processing technology, the robot can sense the life scene and voice emotion of infants, and automatically recognize and play functional music. Artificial intelligence develops rapidly and is widely used in various fields. Music robot with certain neural network can understand music, analyze music and create music. In the field of professional music education, all kinds of new interactive teaching music intelligent system based on music artificial intelligence technology will be a new mode of perceiving music, cognitive music, creating music and music education.
Research on the application and security of artificial intelligence in financial industry
Authors: Li Ping
Published: March 2020

Artificial intelligence technology is a new industry, which affects the world in a unique way. In the 21st century, artificial intelligence has reached the peak of stage, which has become the representative of emerging technology. In the financial field, artificial intelligence has been fully applied, which improves the prosperity of the financial industry. However, artificial intelligence technology also increases the instability and risk factors of financial industry. This paper first analysis the application of artificial intelligence in the financial field. Then, this paper puts forward some security problems. Finally, some suggestions are put forward.
Design of Electromagnetic Sensing and Infrared Obstacle Avoidance Tracking System Based on K60
Authors: Zhang Baojian , Yu Zhengqiang , Zhou Caihong , Luo Hao
Published: March 2020

With the development of robot technology and industrial automation, the manufacturing mode based on robot and intelligent equipment has been started. Intelligent tracing Automatic Guided Car (AGV) is a typical application of industrial robot. Based on MK60DN512ZVLQ10 (K60), an embedded system for electromagnetic sensing and infrared obstacle avoidance is designed. Based on the 32-bit single-chip microcomputer K60 produced by NXP, an embedded tracking system for intelligent cars is designed and implemented, which is based on electromagnetic sensing and infrared obstacle avoidance. According to the electromagnetic track laid in advance, the arrangement structure of the inductance coil and the core tracking algorithm and program are designed according to the track elements, and the automatic tracking and obstacle avoidance functions of the car are realized under the condition of no human operation. This design adopts low-cost inductance coil, which is convenient to change the track path in different environment, instead of the high-cost and hard-to-switch track path in the past, and provides a reference plan for intelligent control such as unmanned driving.
Development of intelligent warehouse management system based on Internet of things technology
Authors: Pang Lele , Yang Wenyong , Xia Bo , Cheng Zhanfeng
Published: March 2020

With the development of electric power enterprises, the types and quantity of storage management materials are also increasing. With the rapid increase of warehousing frequency, warehousing management is very complex and diversified. The traditional manual warehouse operation mode has been difficult to meet the rapid storage management, which will seriously affect the operation efficiency of enterprises. By improving the intelligent warehouse management system, we must use RFID application technology, visualization technology, etc., which will improve the efficiency of material management. By reducing the cost of material management, we will achieve the optimal management of warehouse materials. Firstly, this paper analyzes the development trend of storage management and RFID technology. Then, the whole idea of system design is established.
Research on Library Information Work based on Internet Big Data
Authors: Zhang Ning , Xu Minmin , Wang Chuanfei
Published: March 2020

With the gradual formation of big data environment and Internet + social environment, the library and information work has undergone tremendous changes. Big data work has become the main body of Library and information work. This paper focuses on the analysis of the content of Library and information work and the responsibilities of librarians, and studies the working methods and personal development mode of Librarians in the big data environment. In the near future, library and information major will be in front of us with a new face. Library and information management personnel should constantly enrich themselves, constantly accept challenges, and actively adapt to the change of work content and work methods.
Analysis of Intelligent Pick-up Terminal Based on Mobile Internet
Authors: Huang Yi
Published: March 2020

Given the problems of low work efficiency, misplaced delivery and pick-up time, difficulty to build brand image, etc. in the logistics industry, a design scheme for intelligent pick-up terminal based on the mobile Internet is proposed. Firstly, the current status of the last mile delivery in the logistics industry is introduced. Various problems in the distribution are identified. Subsequently, the system architecture, hardware block diagram, and software flowchart of the design are described. The design has implemented intelligent distribution, which can improve logistics distribution efficiency and establish the brand image effectively.
Current Situation and Problems of Smart City Development in China Based on Big Data Analysis
Authors: Li Zhen , Han Peng
Published: March 2020

With the steady progress of China’s urbanization process, the smart city construction is also rising quietly. At the same time, the advent of the big data era has also provided new ideas for the construction and development of smart cities. In this paper, mainly the corresponding strategies for the construction and development of smart cities in the era of big data are proposed through the understanding of the features of smart cities and the positive role played by big data in the smart city construction.
Design and Implementation of Intelligent Tutor System for Training of Scalpel Operation
Authors: Yu Meng , Zhang Peng , Zhang Weitao
Published: March 2020

In order to improve the effect of knife-holding training and reduce the requirement of experimental environment, an intelligent tutor system for knife-holding training is designed and studied. The system can simulate the anatomy working scene, and has the function of intelligent recognition of scalpel holding technique and movement. It can also automatically complete the whole experiment teaching process, such as knife-holding training task layout, precise monitoring of training process, multimedia interactive training guidance, training result evaluation, educational administration management and so on. The experimental results show that the new design concept and practice method of the system are of great significance for reference and popularization.
Railway Transportation Dispatching System Based on Mobile Internet Technology
Authors: Di Junhui
Published: March 2020

With the continuous development of mobile communication and Internet technologies, the development and research of software applications based on mobile Internet have also entered the blowout development stage. At the same time, the shortcomings of traditional PC desktop applications, which lack portability, have been gradually enlarged. What has emerged are the rapid development of Web applications and mobile applications, and the emergence of new concepts such as mobile office. To this end, this article studies the design and implementation of a railway transportation dispatching system based on mobile Internet technology. On the basis of the existing office supervision method of the railway supervision company and the on-site supervision method of the supervision engineer, based on the MQTT protocol, it implements the active push of messages, develops basic supervision and to-do tasks modules. During the design and development of this system, the Web end will apply the current popular responsive web development technology to enhance the user’s interactive experience on a variety of different platforms. This system uses an object-oriented analysis method to design the architecture of the railway transportation dispatching system. After a detailed design analysis, a complete set of railway transportation dispatching solutions is proposed.
Application of Video Recognition Technology in Sports Stunt Teaching
Authors: Wang Ming
Published: March 2020

In recent years, with the rapid development of sports in our country, the national importance of sports is also increasing. In order to further improve the level of physical education in our country, we began to pay attention to the teaching of physical stunt. Sports stunt is difficult and dangerous. These characteristics determine that sports stunt teaching should improve teaching efficiency as much as possible. Therefore, the decomposition and identification of sports stunt is particularly important. The traditional sports stunt teaching can not identify the movements accurately, which brings some difficulties to the sports stunt teaching. Video recognition technology provides a new means for the teaching of physical stunt and greatly improves the teaching effect. This paper first gives an overview of video recognition and sports stunt, analyzes the advantages of video recognition technology in sports stunt teaching, and analyzes its feasibility based on data feature screening algorithm. It not only promotes the further integration of video recognition technology and teaching, but also deepens the research on this aspect.
Power Environment Warning Prediction Model Based on Big Data Association Rules
Authors: Zhang Dongfang , Yu Liangliang , Wang Ou , Ning Liang
Published: March 2020

With the rapid development of power communication network, power production and operation put forward higher requirements for the stability of power communication network. The power environment system can collect the operation status of communication power supply, equipment and other related alarm information as the basis for troubleshooting. However, due to the failure of a device, there will be some columns of linkage alarm, which increases the difficulty of fault location. In order to solve the above problems, this paper uses the method of big data association rules to carry out data deep mining, and makes in-depth analysis on the location and prediction of power environment fault alarms. Through the correlation between power environment alarms, this paper puts forward the analysis and prediction method of power environment alarms, and realizes the prediction of power environment alarms through the analysis of big data association rules. Based on the in-depth analysis of the Apriori algorithm, this paper designed an improved Apriori algorithm which is suitable for power environment alarm prediction, and greatly improves the efficiency of the algorithm.
Optimization of Degradation of Emulsified Oil by Microbial Missile Using Response Surface Methodology
Authors: Tong Wei , Wang Mingyu , Zhang Shaojun , Zhang Zhen
Published: March 2020

Optimal conditions for microbial missile degradation of emulsified oil were predicted using the response surface method designed by Box-Behnken. The effects of the concentration of sodium alginate (SA), the concentration of calcium source (CaCO3), the calcium ion chelator (CaCl2), and the pH value on the degradation efficiency of oil pollution were investigated using calcium alginate gel as a matrix. The results show that the model fitting accuracy R2=0.9739, the concentration of SA, the concentration of calcium source, the concentration of calcium ion chelator and the pH value have a great influence on the response value of the degradation rate of emulsified oil. The model predicts that the optimal reaction conditions are SA concentration of 21.27 g/L, calcium source concentration of 29.71 g/L, calcium ion chelator concentration of 32.33 g/L, and pH is 8.56. The predicted degradation rate of emulsified oil reaches 71.50%. The model was further verified by experiments. The average value of the four experimental degradation rates under the optimal conditions was 71.61%, and the deviation was 0.11% compared with the predicted value. This proves that the method can be used to optimize the process parameters of microbial missiles to degrade the emulsified oil, provide optimized solutions for the treatment of actual oily wastewater.
Vision Guiding System Based on Strong Positioning and Hand-eye Calibration
Authors: Du Gang , Zhang Shanwen
Published: March 2020

In order to solve the current localization algorithm big background interference affects calibration methods exist damage, physical contact with the workpiece material on the surface of the problem, hand-eye calibration was proposed based on strong orientation and three visual guidance system. First, deepen the Hessian matrix, using Gaussian filter, using the maximum inhibition precisely determine the feature points and direction, in order to construct surf feature points description, finish strong positioning operator based on surf, to remove the background and the ambient light interference, the purpose of accurate positioning center of the target with Angle. And then put forward three points calibration method, calculation scale rotation matrix and translation matrix parameters, complete the Robot world coordinates and binding mapping camera image coordinates. Finally, program implementation algorithm and system, the experiment results showed that compared with the current workpiece material transfer system, this system has higher goal orientation and calibration transfer success rate.
Key Technology Prediction and Strategic Analysis of Educational Robots Based on Patent Map Analysis
Authors: Xu Jianpin , Fang Jian
Published: March 2020

This paper uses the patent data of China HowNet and the SOOPAT patent database, uses patent maps as an analysis method, and uses life cycle theory and Logistic models to analyze and process key patents related to domestic and foreign educational robots and to make the key to domestic and foreign educational robots. The life cycle prediction research of the technology shows that the key technical fields of educational robots in the world have passed the nascent stage, and the key technologies of educational robots such as artificial intelligence, interactive technology, and manipulators are rapidly developing and are in a high-growth stage.
Energy Saving Of Power System
Authors: Liu Yue
Published: March 2020

This paper mainly introduces the significance, methods and technical measures of power system energy saving, through reasonable selection of electrical equipment, reasonable calculation of load, voltage loss, and the correct and reasonable design of distribution system to achieve the purpose of energy saving.
Experiment on Cognitive Load of Gesture Interaction Based on Semiotics
Authors: Sun Wei , Jin Yudi , Wang JinLong , Yang Hanbing
Published: March 2020

Objective: To explore the amount of information contained in gesture symbols and its relationship with cognitive load, and to provide theoretical guidance for gesture interaction design based on semiotics. Methods: Firstly, a user-defined method was combined with oral analysis to collect gestures and establish a corresponding semantic knowledge base. Based on the knowledge base, the icon algebra theory is used to redesign the gesture symbols. Then through experiments combined with the NASA-TLX scale to measure the user’s cognitive load, and through data analysis to explore the relationship between the amount of information contained in the gesture symbol and it. Conclusion: The amount of information contained in gesture symbols has a significant correlation with the user’s cognitive load and response time. As the amount of gesture symbol information increases, the user’s cognitive load and response time also increase accordingly. Based on this, a regression equation of user cognitive load and information amount of gesture symbols is established, which provides theoretical support for the design of gesture symbols based on semiotics.
Application Technology of Wireless Computer Network in Intelligent Driving
Authors: Song Xinghua
Published: March 2020

With the continuous development of wireless network and Internet technologies, research on the application technology of wireless computer networks in intelligent driving has also entered the blowout development stage. The purpose of this paper is to study the application technology of wireless computer networks in intelligent driving. This paper also proposes an optimization solution for wireless vehicle networking in view of the many disadvantages of the traditional traffic law enforcement management system. This article first briefly introduces the concepts of the Internet of Things, the Internet of Vehicles, and wireless systems, analyzes the necessity and feasibility of the fusion of the two technologies, and then proposes a framework for the integration of wireless computer network technology and Internet of Things technology. Various innovative applications of the Internet of Vehicles based on this architecture in intelligent transportation are analyzed and demonstrated. Wireless networked car networking has demonstrated its superiority to a certain extent in the application of several special scenarios, alternative analysis of ETC systems, and optimization of traditional traffic law enforcement management. At the end of this paper, a GA algorithm based on wireless networked vehicle networking applications is proposed. Through the results of the algorithm, it is concluded that the system performance and economic performance of wireless vehicle networking are superior. According to the experimental results, the system developed in this paper can not only solve the vehicle congestion situation, but also reduce the occurrence of traffic accidents.
Key technology of Laparoscopic Surgery Training System Based on Virtual Reality Technology
Authors: Li Tingting , Liu Shi
Published: March 2020

This study combines virtual reality technology with laparoscopic surgery training, based on the immersion, interactivity and imagination of virtual reality technology to provide doctors with new solutions for laparoscopic surgery, and quickly improve the use of laparoscopic surgical instruments by interns. The mastery of the laparoscopic surgical procedure is applied to the teaching, training and assessment of the intern, so that the intern can carry out the surgical training under the experience of being as close as possible to the real surgery, and improve the clinical technical level.
Support Vector Machine (SVM) Marketing Strategy Analysis Method Based on Time Series
Authors: Jiang Leilei
Published: March 2020

In the era of “Internet plus”, the traditional marketing strategies of enterprises need to be adjusted, including the combination of advanced technology for marketing and innovative development of marketing strategies. Innovative marketing strategy is an opportunity and challenge faced by the development of enterprises. Seize the development opportunity and actively innovate marketing strategy to improve their own marketing level and enhance their core competitiveness. The purpose of this paper is to study the marketing strategy of support vector machine based on time series. In this paper, from the perspective of machine learning, in order to “Internet +” era of development as the background, according to the reality and the related theoretical basis, method innovation enterprise marketing strategy as the research object, build support vector machine (SVM) based on time series of marketing strategy framework, and starting from the actual situation of the framework of empirical analysis, in the hope of enterprise marketing strategy can fully embody the dynamic real-time dynamic. Enterprises use support vector machine (SVM) based on time series to predict and analyze marketing strategies, which can well deal with emergencies, deal with risks in time, solve crises faced by enterprises, contribute to the rapid development of enterprises, and promote the steady forward development of enterprises.
Information Hiding Technology in Power System Network Security
Authors: Huang Jie , Li Jing , Wang Jie , Tian Li
Published: March 2020

Since the beginning of the 21st century, with the popularization and application of electronic information technology in the power system, the power system information network security has begun to attract the attention of all walks of life, especially the power enterprises. To ensure the safety of electric power information network is not only the need to ensure the safety of industrial production and residents’ daily electricity consumption, but also the internal demand to ensure the stability, development and prosperity of national economy. In the electric power industry, the information security of the electric power system is directly related to the production, operation, management and operation of the electric power enterprises. When these information data are illegally violated, it will bring adverse effects to the electric power enterprises. It can be seen from this paper that the network security of the telecommunications industry accounts for a large proportion of 18.7%. Therefore, information security is the important protection content of power enterprise network security. The emergence of information hiding technology, a good realization of the power network information security protection, this paper will be information hiding technology as the focus of research, analysis of its application in the power network security.
An Improved Hybrid Clustering Algorithm Based on Particle Swarm Optimization and K-means
Authors: Liu Shuying , Zou Yanfei
Published: March 2020

The most common algorithm in data mining is cluster analysis. Cluster analysis algorithm has been widely used in many fields, especially in data analysis, market research and pattern recognition. K-means clustering algorithm(KMCA), as one of the common algorithms in clustering analysis, occupies an important position in clustering analysis and has relatively more applications. However, in recent years, with the deepening of the application of clustering analysis algorithm, it is found that there are a series of problems in KMCA, which directly affect the accuracy of data analysis results. On this basis, a bionic optimization algorithm, particle swarm optimization algorithm, is generated, which makes up for the shortcomings of KMCA. The aim of this paper is to establish the optimal algorithm for data analysis by means of the research on the improved hybrid clustering algorithm of particle swarm optimization and k-means. The experimental results show that the algorithm can effectively integrate the advantages of particle swarm optimization algorithm and KMCA, which not only improves the speed of the algorithm, but also guarantees the accuracy of the results.