bluuebunny/crossref_metadata_2025 huggingface dataset:
Value Contribution of Rural E-commerce Development: Model Constructing and Empirical Testing
Authors: Guoxin Yu Xutang Chen, Jingjing Wang,
Published: August 2021

In the field of rural e-commerce, based on literature review, the paper constructs a four-dimensional value contribution model of rural e-commerce to economic, social, cultural, and ecological development. The value contribution scale for rural e-commerce development is designed to collect experts’ opinions, then the measurement items are modified, and a questionnaire survey is conducted with farmers participating in rural e-commerce activities as the respondents. With AMOS software, a first-order structural equation model and a higher-order structural equation model are used to analyse the confirmatory factors of the rural e-commerce value contribution model, and to test the convergence and discriminative validity of the model and other important attributes. It can be concluded from the test results that the four value dimensions of the model show relatively high reliability and validity, which also suggest that the use of this model is highly rational in identifying the value contribution of the development of rural e-commerce, and has successfully developed the value contribution system of rural e-commerce as a formal theory. At the same time, according to the factor loading and the contribution rate of each principal component measured at the overall level, the weight of the principal components and indices of the overall dimension are achieved. Among the four value contribution dimensions, economic value shares the largest contribution brought by rural e-commerce development and ecological value shares the smallest. Therefore, these results and weights gained from this research will be used to determine the priority of the value contribution of rural e-commerce development, and will be taken into consideration in developing rural e-commerce.
Classification of Microblog Users’ Sentiments Based on BERT-BiLSTM-CBAM
Authors: Ruyun Chen, Di Yu Juan Chen,
Published: August 2021

This study proposes a method for more accurate classification of microblog users' sentiments based on the BERT-BiLSTM-CBAM hybrid model. First, the text information is pre-trained by the bidirectional encoder representation from transformers (BERT) model to get feature vectors. Then, the feature vectors are spliced and recombined using bidirectional long-short-term memory network (BiLSTM) and CBAM mechanism to obtain new feature vectors. Finally, these new feature vectors are input to the full connection layer and then processed by the softmax function to obtain the sentiment category of the text. The experiment conducted on the sample dataset demonstrates that the model proposed in this study yielded accurate and dependable result in classifying microblog texts in the sample dataset. The model based on BERT-BiLSTM-CBAM algorithm is more efficient than the traditional depth model in processing microblog contents
RESEARCH ON PERSONALIZED RECOMMENDATION ALGORITHM FUSING TIME AND LOCATION
Authors: Zhijun Zhang Zhongyong Fan, Yongqian Zhao, Yongkang Wang,
Published: August 2021

With development of recommendation systems, they are faced with more and more challenges. In order to relieve problems existing in commodity selection by users of different preferences from different regions, personalized recommendation based on location information has emerged. Nowadays most recommendation systems based on location information neglect the fact that users’ preference will change with time. To solve the above problem, geographic location and time factor of users are effectively combined in this paper, and a personalized recommendation algorithm TLPR combining time and location information is proposed. This algorithm determines the users’ geographic location according to postcode information of the users, uses pyramid quadtree model to distribute users into nodes at each layer in the pyramid, utilizes collaborative filtering algorithm for local recommendation in each node, introduces a time function to regulate time-dependent change of user interests when calculating user similarity at each node and finally realizes a comprehensive recommendation by distributing a weight for recommendation result at each layer in the pyramid quadtree. A comparative experience is carried out for recommendation performance of this algorithm on MovieLens dataset, and experimental results indicate that this algorithm is of better recommendation effect
Statistics Analysis and Visualization for Big Data of E-commerce Platform Sales Evaluation
Authors: Yangyang Zhang, Chenfan Sun Wei Zhan, Jinhui She,
Published: August 2021

With the rapid increase in the sales scale of e-commerce platforms is accompanied by the rapid growth of consumer evaluation data on commodities at the same time. How to use big data analysis and visualization technology to mine the valuable information in the massive consumers evaluation data is an urgent issue in promoting the development of e-commerce platforms. However, the amount of e-commerce evaluation data is huge, growing fast, and mostly unstructured data, which is typical big data. In order to efficiently realize the visualization of e-commerce evaluation big data, this paper proposes an end-to-end four-layer framework for data visualization system. The data acquisition layer uses the Webcollector crawler to crawl a total of 420,000 mobile sales evaluation data on the JD website and stores them in the MySQL database; The data import layer uses the Sqoop tool to import MySQL data into the Hadoop platform; The data processing layer uses HDFS and MapReduce to process and analyze big data; The visualization implementation layer uses Jsp+Servelet+JavaScript+echart integrated technology to visualize the big data of distribution of mobile phone sales, user purchase impressions, and user mobile phone portraits. Which helps consumers choose their favorite mobile phones conveniently, and provide decision-making support for e-commerce companies to more accurately launch products, benefiting both parties
High-speed Urbanization and Housing Bubbles
Authors: Meng Ye Yao Pang, Yancheng Fan,
Published: August 2021

With China's high-speed urbanization, the housing demands and housing prices have increased rapidly in major cities. By combining the classical bubble theory with investors’ short-term decisions, we propose a method to simulate bubbles' rising and bursting process in a multi-sector economy. We find that when urbanization goes too fast, the housing price growth rate will exceed the industrial interest rate, causing enterprises to buy houses. Enterprises’ housing investment further increases the expected returns of housing investment, attracting more investment and leads to housing bubbles. The faster the speed of urbanization, the higher the housing price grows, the longer the bubble cycle, and the greater the impact on the economy when bubbles burst. Continued urbanization cannot prevent bubbles from bursting. To ensure economic stability, the pace of urbanization needs to be limited.
Incipient Motion of Gravel Bedload Considering the Secondary Flow in Bend
Authors: Xiaogang Pu, Dongyue Qian, Juntao Li Xin Wang, Yanhua Yang, Jie Liu,
Published: August 2021

The transport of gravel bedload in river bend is one of the basic problems of river dynamics. However, both the complicated bend flow structure and the stochastic bedload transport make explaining the problem theoretically difficult. Flow is the power of the bedload transport, so obtaining the precise theoretical flow structure is fundamental. Through considering the velocity-dip phenomenon and giving the matched boundary conditions, we have obtained the completed three-dimensional bend flow structure in the previous study. Combining the flow structure and the influences of the two-way exposure, we did further research on the incipient motion of the gravel bedload in bend in this paper. It turns out that, because of the existence of the secondary flow, the particle in bend forced by both the longitude and the transverse velocities in the plane. The two-way velocities form an intersection angle which influences the incipient velocity and direction of the particle movement. Moreover, the non-uniform distribution of the bend flow structure along the cross-section decides the differences of the intersection angle, incipient velocity, transport speed of the bedload in the bed surface. Then, the above differences result in the change of the sediment gradation and partition behaviour of the bedload transport.
Research on the Matching of Organizational Change and Enterprise Transformation
Authors: Baoyue Zhao Qinghong Meng, Zhiwei HeLian,
Published: August 2021

Enterprise transformation is an important way for enterprises to gain sustainable competitive advantage. This paper aims to study the relationship between organizational change and enterprise transformation. Based on 303 valid questionnaires, the results show that organizational change has a positive impact on enterprise transformation. Organizational change has a positive effect on management innovation. Management innovation plays an intermediary role between organizational change and enterprise transformation. Employees' attitude toward change plays a regulating role between organizational change and enterprise transformation, while employees' attitude toward change plays a regulating role between organizational change and management innovation. Self-motivation plays a second-order role in the adjustment of employees' attitude towards organizational change and enterprise transformation. Self-motivation plays an insignificant role in adjusting organizational change and management innovation. Organizational motivation plays a second-order role in the adjustment of employees' attitude towards organizational change and enterprise transformation. Organizational motivation plays a second-order role in adjusting organizational change and management innovation.
Urban Catalyst Theory and the Renewal of Old Community Road Space Under the background of Industry 4.0
Authors: Yang Xu Gewei Zheng,
Published: August 2021

Nowadays, in the special period of post-epidemic era and industry 4.0, "community" as an important part of the city has become the focus of attention of all sectors of society. Roadways are closely related to the life of the community residents in the space composition of the old communities, which profoundly affects the daily communication and life of the residents living in the community, so the renewal and design of residential roadways in old communities has been a central issue to drive the renovation of communities and revitalize cities. In this paper, based on the theory of urban catalysts, the residential roadways of Sanyi Village in Tanhualin Community in Wuhan are studied from the aspects of the introduction of catalysts, spatial linkage, guidance and follow-up to explore how to integrate the catalysts theory to improve the quality of the community within the limited roadway space of the old communities
Opportunities and Challenges of Sporting Goods Manufacturing Industry under the New Retail Mode
Authors: Can Yu Yijun Bai,
Published: August 2021

By using literature inquiry and logical reasoning methods, this paper studies the definition and characteristics of "new retailing", The current situation and existing problems of sports goods manufacturing industry participating in "new retail" are clarified, and the existing problems are pointed out  that under "new retailing" mode, during transition period of sales transformation and stores reformulation, Sporting goods manufacturing industry has no obvious huge advantage, but the opportunities of overtaking opponents at some key points do exist. However, with the advent of the new era, challenges often outweigh opportunities.Sporting goods manufacturing is like other companies, face the pain and change of sales transformation, but this kind of transformation is not a denial and abandonment of the traditional retail system, but a complementation of advantages. Therefore, the retailers of sporting goods manufacturing industry must stand in the perspective of "new retail"  from the perspective of customer experience, highly integrate online and offline retaling and logistics, use technologies such as the Internet and big data to influence customers’ decision-making and purchasing behavior, and improve their trust in the products. Finally, the paper proposes solutions and suggestions based on the problems existing in the enterprises’ involvement in the "new retailing" mode,It provides the basis for the decision-making of sports goods manufacturing industry and management department.
Analysison the Willingness and InfluencingFactors of the Villagers to Market the Rural Collective Construction Land in Nanhai District of Guangdong Province under the Background of Transformation and Upgrading of Manufacturing Industry
Authors: Feng Luo Cairong Wu,
Published: August 2021

By analyzing the cognition and willingness of the villagers in Nanhai district (a big manufacturing city) of guangdong province to the marketing of the rural collective operating construction land, this paper finds out the key factors of the villagers' response to the marketing of the rural collective operating construction land, and puts forward some suggestions on how to promote the villagers' response to the marketing of the rural collective operating construction land. This paper takes villagers from 7 towns in Nanhai District of Guangdong Province as the investigation objects, and effectively gets questionnaires from 596 villagers by means of random investigation. The research methods of descriptive statistics and Logistic regression model are specifically used.The villagers in Nanhai District of Guangdong Province have a strong willingness to market the rural collective operating construction land, among which 63.42% of the surveyed villagers agree to market the rural collective operating construction land, but 36.58% of the surveyed villagers still have a weak willingness. There are five key factors that affect villagers' willingness to market rural collective operating construction land: villagers' education level, agricultural dependence, annual household net income, expectation of market effect and view of market risk of agricultural land.In order to improve the willingness of the villagers in Nanhai District of Guangdong Province to enter the market of the rural collective operating construction land, the following four measures can be taken to realize it: First, to improve the villagers' education level; Second, reduce the villagers' dependence on agriculture and increase the annual net income of the villagers' families. Thirdly, the demonstration effect of entering the market should be effectively done to improve the villagers' expectation of the effect of entering the market. Fourthly, the education of popularizing the knowledge of entering the market should be strengthened to guide the villagers to correctly understand the institutional nature of entering the market of agricultural land so as to reduce the risk of entering the market of agricultural land.
Key Technologies of IoT Service Security and Privacy Protection
Authors: Jiatao Kang, Junlei Dong Dongxian Yu,
Published: August 2021

The Internet of Things in the industrial industry has attracted widespread attention from the government, academia, and industry due to its huge application prospects. The core ideas of the Internet of things are perception, control, transmission and intelligence. Through technical means to achieve the coordination between things, people and things, and people, so as to form a larger complex network system on the basis of sensor network, Internet and mobile communication network. The data Shared by Internet of things information is closely related to personal life behaviors, and the information has a greater perceived correlation with each other. This kind of sensibility and sensitivity put forward higher requirements for the security and privacy protection of Internet of things information sharing. However, due to the characteristics of network structure, terminal equipment, communication mode and application scenario, some security and privacy issues unique to the Internet of things cannot be solved directly through existing Internet security technologies. It is necessary to conduct in-depth research on the key technologies of Internet of things security and privacy protection. This article briefly describes the Internet of things security and privacy issues, then, it gives the research and application status of Internet of things security and privacy protection at home and abroad, then lists the key technical problems in Internet of things security and privacy protection. And for communication between large scale collaborative services. Based on publish/subscribe paradigm, this paper constructs collaborative communication facilities of Internet of things services suitable for large-scale distribution, and an access control architecture for managing service synergy interactions, achieve confidentiality of data exchange between services and privacy protection of service policies.
Research on Development of Suburban Home Stay in Less Industrialized Area
Authors: Yu Wang Anmei Wang,
Published: August 2021

Taking the advantage of rural vitalization strategy, homestay has become a powerful means for rural areas with less-developed secondary industry to explore industrial vitalization and transformation, thus achieving both economic growth and social development. Taking homestay in somewhere as an example, this paper goes through the existing bottleneck and risk to figure out suggestion and proposal for the better development of homestay industry, such as planning first, leveraging important activities to accelerate the growth, together with rural culture embedded.
Key Construction Monitoring Technology for Long-Span Continuous Girder Bridge
Authors: Yan Wang Fei Zhang,
Published: August 2021

This paper integrates a monitoring practice for the construction of a long-span continuous girder bridge to explore strain measurement and geometric shape control technology. In doing so, the actual stress of the bridge in the cantilever-construction stage is identified, and the influence of ambient temperature on the geometric shape control of the main girder is eliminated. According to linear creep theory, a strain correction method based on the superposition principle is proposed to remove the strain induced by concrete shrinkage and creep. By identifying the pattern of the solar thermal effect on the main girder geometry, a double in-situ measurement interpolation method is proposed to predict the adjusted value of formwork erection elevation. The results show that the deviation between the measured and corrected stress values on the root section of the main girder under the maximum cantilever state of the main girder is 16%–23%, which verifies the necessity of strain correction. The corrected values of measured stress on each controlled section are essentially identical to the calculated values, and both have consistent change patterns throughout the construction process, which verifies the validity of the strain correction method. During the cantilever-construction stage, the vertical deformation of the main girder owing to the solar thermal effect is parabolic and significant; hence, the main girder geometry should be measured prior to sunrise. The double in-situ measurement interpolation method can effectively eliminate the adverse effects of solar thermal when lofting the vertical formwork elevation in a non-ideal period.
The Language Protection Project Should Achieve Three "Unifications" Under the Background of Industrial Industrialization
Authors: Shen Changming
Published: August 2021

The Chinese Language Resources Protection Project (referred to as the "Language Protection Project") started in 2015 and has basically completed its original tasks so far. Combining the actual experience of participating in the language protection project and integrating the research results of others, And in the context of accelerating industrial industrialization and urbanization,the language protection project must achieve the best results, at least the top-level design, academic rationality and ideological unity; the unity of inheritance and innovation in the project implementation process; the unity of academic rigor and corpus value in project acceptance.
High-Speed Railway Passenger Station Based on Contingency Theory Promotes the Construction of Flexible Organization for the Integration of Industry and Service Industry
Authors: Zejian Zhang Chao Yin,
Published: August 2021

Firstly, the paper discusses the theoretical progress of contingency theory in organization construction, which lays a theoretical foundation for the research of flexible organization construction of high-speed railway passenger stations. Then, based on the contingency conceptual framework proposed by Lucence, the conceptual framework of flexible organization construction of high-speed railway passenger station is constructed in combination with the operational characteristics and operating environment of high-speed railway passenger station. This paper explains the connotation of flexible organization construction of high-speed railway station. On this basis, the paper puts forward the idea of flexible organization construction of high-speed railway passenger station. Finally, five supporting measures for the construction of flexible organization of high-speed railway station are put forward. These studies provide theoretical guidance and construction ideas for flexible organization construction of high-speed railway stations in response to passenger flow fluctuation; the main strategy is to give priority to the introduction and cultivation of producer services in developed cities.
Research on the Relationship between Public Information Needs, Government Trust and Impact Mechanism under the Blockchain Industry
Authors: Li Qian
Published: August 2021

In view of the low utilization rate of "Internet + government" service users and the weak awareness of public participation, the paper analyzes the influencing factors of "Internet + government" Public Adoption in the context of blockchain technology from three dimensions: An accurate disclosure of information in an epidemic is conducive to enhancing the credibility of the government. From the perspective of a positive interaction between the government and the public under the background of blockchain industry, the paper analyzes the relationship between information needs and the trust of the government and the mechanism of influencein the context of a major epidemic. Based on the basic model of TAM and trust theory, a theoretical model of government trust influencing factors was constructed, and the applicability of the model was tested by using empirical research methods of questionnaires and structural equations. Research shows that factors such as openness and transparency of information, information security and reliability, and the ability of government information services significantly affect government trust. According to the research results, it is proposed to use block-chain technology to promote Chinese government information disclosure and rebuild the government trust system, which provides a more feasible theory and method for achieving government governance innovation under the background of blockchain industry.
Research on the Upgrading of China's Sports Shoes Manufacturing Enterprise Cluster from the Perspective of Global Value Chain Driving Force
Authors: Teng Fan Cong Geng,
Published: August 2021

The paper, based on the global value chain theory, this paper studies the sustainable development of China's sports shoes manufacturing industry cluster from the perspective of driving force. First, this paper reviews the relevant theories of global value chain. Then it studies the upgrading mode of sports shoes manufacturing enterprise cluster in China under the theoretical framework of global value chain. After theoretical analysis and empirical study, this paper puts forward the idea of upgrading the sports shoes manufacturing enterprise cluster in China. And finally, corresponding suggestions and countermeasures are put forward to provide a basis for the development of industrial clusters and the formulation of policies from the two dimensions of local and global.
The Analysis on the Relationship between Dating and the Gel-ink Material Penetration of Handwriting along Z Direction on Paper
Authors: Et al. Jiangchun Li,
Published: August 2021

Scanning electron microscopy (SEM) technology has been widely used in forensic science, which promotes the development of interdisciplinary science. This paper used SEM to observe the penetration degree of common black gel-ink on paper. The penetration morphology of the different black brands gel-ink has been observed. The relationship between the penetration process of gel-ink material and the dating of document has been observed after determining the measuring position. The results showed that the penetration depth of ink along Z direction on paper is significantly different, the penetration speed of ink is also different, which presents regular variety and gradually reaches a relatively stable state over time. The application of SEM will provide a useful exploration for judging the ink dating.
Problems in the Classification of Mine Gas Grades and Classification of Coal and Gas Outburst Mine Types
Authors: Et al. Xianzhi Shi,
Published: August 2021

Since the classification of coal mine gas grade, there has been a classification mode with inconsistent classification basis and progressive relationship between gas mine and coal and gas outburst mine. This paper demonstrates the irrationality of the progressive relationship between coal and gas outburst mines and gas mines from the aspects of different classification materials, inconsistent gas storage media and different disaster control measures, and determines that coal and gas outburst mines and gas mines coexist and are different types of mines. According to the actual amount of outburst coal, the outburst mines are divided into weak, medium, strong and extremely strong outburst mines by using gas content W, coal seam firmness coefficient f and gas pressure P.
Research on Construction Schedule Control and Management Based on Particle Swarm Optimization
Authors: Zub A. T. Youren Liu,
Published: August 2021

Project management is to use scientific theories and methods, and coordinate to achieve the objectives of project establishment. It must be clearly seen that there are many problems in the management of construction enterprises in China, and the management level of construction projects is not uniform. The whole process of building construction is the process of putting in labor, building materials and technical methods to produce building products that meet the requirements. As an enterprise, it must consider its own economic benefits. Different projects can be divided into several stages with different contents and numbers according to specific conditions. The results of the operation of the project management activities are significant or not, and become the key to whether the construction enterprise construction project group can generate enterprise benefits. Based on the particle swarm optimization algorithm, this paper provides some references for such project management by discussing the relationship between construction schedule and economic benefit, construction schedule and quality management. We should conduct in-depth and systematic research on China's project management model and organizational environment, and try to better suit the project management operation mechanism of China's national conditions.
Simulation Research on Participation Willingness of Industrial Company on Green Finance Policies based on Tripartite Game
Authors: Yuning Li, Chuang Li Liping Wang,
Published: August 2021

The green finance policy is an important embodiment of the basic national policy of environmental protection in the financial system, and also an important guarantee for company to achieve green development. Based on the heterogeneous interest pursuit of the central state, local provinces and industrial companies, the article builds an evolutionary model of three game partners, analyzes the strategic choice of the stakeholders in the implementation process of the green finance policies, and simulates the dynamical track of evolution stability strategies of three partners. The results show that the management from the central state is very important to the implementation of the policy, and the supervision cost and punishment will also affect the final stability strategy; the policy incentive from the central state can effectively promote the enthusiasm of the local provinces to implement the green finance policies, but the implementation cost will seriously affect the willingness of the local government to help industrial companies; under the joint supervision effect of the central state, the local government’s policy incentives and the complete market mechanism, industrial companies will enhance their willingness to participate in green finance policies.
A Study on the Factors Affecting the Rural Revitalization in Industrial Industry by Scientific Special Commissioners Based on PLS-SEM
Authors: Et al. Zhongyan Lin,
Published: August 2021

Objective: To study the cause and effects of factors affecting the rural revitalization in industrial industry by scientific special commissioners and the intensity of the influence. Method: Using Partial Least Squares Structural Equation Model to make a statistical analysis of the factors that influence the promotion of rural areas by scientific special commissioners in Fuzhou. Result: The model has good reliability, convergent validity and discriminant validity. Conclusions: Policy factors, system factors and the scientific special commissioners' self-factors have a positive impact on the rural revitalization, and scientific special commissioners' self-factors have the greatest impact, followed by system factors and finally policy factors. The conclusion shows that under the background of the effective development of scientific special commissioners' work in Fuzhou guided and organized by governments at all levels, the innovation of policies and systems has achieved certain results in assisting the rural revitalization of scientific special commissioners, especially in the innovation of talent system, which has achieved remarkable results and fully mobilized the intelligence advantages, scientific and technological advantages and creative advantages of scientific special commissioners to serve the rural revitalization.
A novel Acoustic Fluid Level Estimation Method Based on Evidence Fusion Mechanism
Authors: Et al. Zhenghui Li,
Published: August 2021

In order to reduce the missed detection error and the systematic error caused by acoustic resonance fluid level detection, liquid level estimation method based on evidence fusion mechanism is designed. It establishes a two dimensional dynamic system model of the standingwavelength. The state evidence of wavelength is obtained through the random set description of evidence, and the extension principle of random set is used to get the observation evidence ofwavelength. The evidential reasoning (ER) rule and dependent evidence fusion are used to fuse those evidence, and the estimation value of fluid level can be calculated from fused result based on pignistic expectation. The corresponding liquid level estimation experiment illustrates the validity and feasibilityof the proposed method.
Highly reliable Coordinated Control Strategy for Static Frequency Converters applied to Large Synchronous Condensers
Authors: Et al. Xiangjian Shi,
Published: August 2021

A large synchronous condenser can quickly and flexibly implement various functions such as dynamic change in load tracking, realization of peak reduction and valley filling, emergency reserve, frequency modulation, and phase modulation. This type of condenser is typically started using a static frequency converter (SFC). Based on the analysis of the working principle of SFCs, this paper proposes a highly reliable coordinated control method with resynchronization criterion for an SFC. An auxiliary loop is introduced for voltage control at the SFC to realize feedforward of the trigger angle of the rectifier. This method can effectively improve the success rate of grid synchronization of the synchronous condenser and shorten the start-up time. Moreover, when the AC voltage on the grid side drops, the auxiliary ring can automatically reduce the terminal voltage to maintain a stable operation. A comparative experiment was conducted on an RTDS to verify the feasibility and effectiveness of the proposed method.
The Effects of Regulatory Focus and Social Distance on the Change of manufacturing enterprisesEmployees'Attitude towards Privacy: Evidence from ERPs
Authors: Et al. Yuan Yuan,
Published: August 2021

In this paper, event-related potentials (ERPs) were used to investigate the changes in Employees'attitudes towards privacy and their neural mechanisms. Questionnaires were used to find out the change of employees in manufacturing enterprises attitudes before and after learning privacy events.An inter-group experiment of regulatory focus * social distance was designed. The results showed that: (1) The attitude change in the promotion focus group was much higher than that in the prevention focus group; (2) In the privacy learning process, the promotion focus group produced higher N1 amplitude than the prevention focusgroup; Prevention focusgroup had more certainty in attitude and less attitude change. (3) Although the attentional inputs were different, the social distance and attitude towards privacy changes of prevention focusgroup were not significantly different.
A New K-Means Clustering Algorithm for Customer Classification in Precision Marketing
Authors: Xiaoling Du Xinwu Li,
Published: August 2021

K-means is wildly used in data mining and clustering for its powerful data clustering ability, but its inherent limitations affect its application fields and accuracy. Theoriginal K-means algorithm is improved and applied in customer clustering in precision marketing. Firstly, integrates K-means algorithm with particle swarm optimization according to analyzing the source of the K-means calculation limitations; Secondly, improves the improved algorithm in its operation time, convergence speed, global solution exploration ability successively and redesigns the calculation procedures; Finally applies it in customer classification in precision marketing and the experiment results shows that the new algorithm can increasecustomer clustering effectiveness, validity, accuracy and has satisfactory results in practice.
Computer Network Security Management System in University Information Construction
Authors: Yonggang Zhao
Published: August 2021

In the process of using the computer network, the main page is hacked, the virus overflows, the information is stolen and so on, which brings the inestimable loss to the security of the campus network. Therefore, how to improve the security of campus computer network has become a common concern. This paper discusses the importance of network security in Colleges and universities, and points out the factors that threaten the network security in Colleges and universities. Based on the analysis of the security problems existing in the computer network system and the current situation of network security management in Colleges and universities, this paper puts forward some measures to strengthen the computer network security management in Colleges and universities. This paper studies and designs a set of computer intranet terminal security management system which is suitable for the characteristics of colleges and universities, including domain management subsystem, patch management subsystem, access control subsystem and platform monitoring subsystem. This paper makes a comprehensive analysis of the functions of each subsystem, and introduces the corresponding management processes and strategies. This paper describes the relationship between the subsystems and analyzes the interface between the architecture and other application systems.
Life Prediction Method of Power Battery for New Energy Vehicle
Authors: Jinliang Cao, Xing Hu Guanqiang Ruan,
Published: August 2021

Battery life is a key factor restricting the development of new energy vehicle manufacturing industry.Taking a LiMn2O4 power battery as an example, the life prediction method of power battery based on performance degradation data was studied. It is found that the capacity of the battery basically conforms to the decline trajectory of the power function, and the pseudo failure life of the battery is extrapolated by using the decline model. The distribution of pseudo failure life is studied, and the results are consistent with the fitting effect of Weibull distribution. Finally, the reliability of the battery is evaluated based on Weibull life distribution. This paper analyzes the influence of the actual cycle data on the prediction accuracy. The test results show that the life model and reliability evaluation method have high accuracy, and solve the problems of long life evaluation cycle and high cost of power battery.
Accuracy Improvement of Robot Arm Trajectory based on Adaptive Neural Network Algorithm
Authors: Peixing Li, Chen Yanpeng Peibo Li,
Published: August 2021

An adaptive neural network control method was proposed to solve the problems such as unstable motion and large trajectory tracking error when the robot arm was disturbed by the external environment.The dynamic equations of the manipulator were given and the dynamic characteristics of the manipulator were studied by using the positive feedback neural network. Then the adaptive neural network control system was designed, and the stability and convergence of the closed-loop system were proved by the Lyapunov function. Later, the model diagram of the robot arm was established, and the dynamics parameters of the manipulator were simulated by MATLAB /Simulink software.At the same time, they were compared with the simulation results of the PID control system for analysis.The simulation results showed that the trajectory tracking error and input torque fluctuation were smaller when the trajectory of the robot arm was disturbed by the external world. When adopting the control method of the adaptive neural network, the robot arm could improve the control precision of the trajectory, thus reducing the jitter of the robot arm motion.
Application of Association Rule Data Mining in Statistical Analysis of College Students' Mental Health
Authors: Zhang Hongrui
Published: August 2021

Strengthening the application of big data technology in data analysis can effectively improve the service capability and level of relevant statistics, and provide comprehensive and reliable information support for macro decision-making and trend analysis. This paper comprehensively reviews the research status of big data technology in the field of college students' mental health at home and abroad. Combining with the characteristics of college students' mental health statistical data and the weaknesses in statistical analysis, the feasibility of using knowledge mapping technology is demonstrated. On this basis, the blood relationship graph and influence analysis among the statistical indicators of college students' mental health were constructed through the knowledge map. The application of the knowledge map of college students' mental health statistical indicators in statistical data analysis, statistical indicator identification and statistical data quality management is proposed. Specifically, based on the concept of big data, we can establish a decision analysis platform for college students' mental health. Based on the big data technology, the data mining and analysis ability can be enhanced. In addition, it can change the traditional thinking of college students' mental health statistics and strengthen the construction of statistical team.
Construction of College English Teaching System based on Computer Network Platform
Authors: Gao Baohua
Published: August 2021

We should strengthen the construction of computer network platform and construct and perfect the foreign language teaching system. Starting from the talent training system as a whole, it is necessary to establish a scientific and systematic teaching system with ability training as the main line and multi-level, multi-module and interlinked modules, so as to realize online assisted teaching and network and intelligent management and improve the construction of three-dimensional language teaching resources. It is necessary to promote the integration of information technology and foreign language teaching, as well as the optimization and integration of information technology with subject courses and teaching methods, so as to achieve the purpose of strengthening teaching effects and improving teaching quality.
Improve the Effective Data Analysis Method of Enterprise E-Commerce Marketing
Authors: He Jianhao
Published: August 2021

Under the background of Internet big data, data analysis is one of the important tools for enterprises to implement personalized e-commerce marketing and optimize their e-commerce service mode. It can not only improve the marketing ability of enterprises, but also innovate the e-commerce marketing mode. In terms of the construction of personalized and accurate e-commerce marketing service system, data analysis tools can be used to comprehensively improve the e-commerce marketing effect of enterprise products from three perspectives: product marketing, channel marketing and promotion marketing. In terms of the innovation of e-commerce service mode, an enterprise e-commerce information platform within the scope of supply chain network can be built, and the evaluation system and product traceability system of e-commerce service can be improved, so as to provide consumers with more convenient and comprehensive online services.
Vision-Guided Recognition Method for Working State of Robot Arm based on Machine Learning
Authors: Peixing Li Peibo Li,
Published: August 2021

To realize the capture of the target in any position within the working range of the robot arm, a vision-guided target recognition and positioning control method based on machine learning was proposed to improve the accuracy of the working state recognition. The system grabs four different contours of workpieces (triangle, pentagon, round, square and place in the designated area as the task, and by using the MATLAB to process the image information, and all the connected domains are marked bythe neighborhood areamarking algorithm. Later, the logarithmic coordinates-Fourier transform template matchingmethod is adopted to identify workpiece types and extract their centroid as the positioning reference coordinates.Combined with the 3-DOF robot arm, the standard D-H parametric method is usedto establishthe robot arm kinematics model, and through the inverse operation of the robot armand according to the position of the workpiece coordinates,the joint angle of each robot arm can be obtained. Later, it is sent to the lower microcontroller Arduino through a serial port, and then the control instruction is completed by the Arduino torealize the capture and placement of the workpiece and complete the work state recognition task.The experimental results show that the working state recognition system can meet the design requirements.
Optimal Algorithm of Full Focus Array Based on Sparse Matrix
Authors: Et al. Donghan Wang,
Published: August 2021

Ultrasonic phased array all-focus imaging algorithm has the advantages of high accuracy and full range dynamic focusing, but the existing imaging time-consuming problem limits its practical industrial application. In order to meet the requirements of real-time imaging and clear and distinguishable image defects in all-focus array ultrasound scanning. In this paper, a sparse optimization model of TFM phased array is established. Based on the Fermat principle, the delay time of each element under two layers of media is calculated, and a two-layer media phased array all-focus imaging algorithm is established, using minimal redundancy. The sparse design of the MRLA is carried out, and the all-focus imaging and sparse all-focus imaging experiments of the two-layer medium are carried out, and the influence of the sparse emission array on the defect quantitative accuracy and the calculation efficiency of the all-focus algorithm is discussed. The final optimized sparse array is compared with the sound field beam pattern of the full array, the smallest redundant array, and the genetic algorithm optimized array, and an all-focus scanning environment is established based on the array. Scanning images can not only obtain the maximum amount of information under minimum redundancy, but also have good sidelobe characteristics. At the same time, the array is sparse, which greatly improves the efficiency of all-focus scanning, and provides a certain reference value for the research of all-focus imaging technology.
A Deep Learning Technology based OCR Framework for Recognition Handwritten Expression and Text
Authors: Xuanxia Yao Tuanji Gong,
Published: August 2021

Recently Optical character recognition (OCR) based on deep learning technology has achieved great advance and broadly applied in various industries. However it still faces many challenging problems in handwritten text recognition and mathematical expression recognition, such as handwritten Chinese recognition, mixture of printed and handwritten Chinese characters, mathematical expression (ME), chemical equations. In traditional OCR, features selection played a vital role for recognition accuracy, while hand-crafted features are costly and time-consuming. In this paper, we introduce a deep learning based framework to detect and recognize handwritten and printed text or math expression. The framework consists of three components. The first component is DCN (Detection & Classification Network), which based on SSD model to detects and classify mathematical expression and text. The second component consists of text recognition and ME recognition models. The final component merges multiple outputs of the second stage into a whole text. Experiment results show that our framework achieves a relative 10% improvement in mixture of texts and MEs which are printed or handwritten in images. The framework has been deployed for recognition paper or homework at one online education platform.
Hot Analysis and Development Trends of Technology Transfer Research in Universities At Home and Abroad
Authors: Wenhao Ying Xiaolan Wang,
Published: August 2021

In this paper, Citespace was used to perform bibliometrics analysis of 3437 journal papers in the field of technology transfer research from 1985 to 2020 included in WOS and CNKI database. The results showed that the quantities of relevant literature on technology transfer in domestic universities has been developing gradually since 2005 and drives to maturity stage. From the perspective of research institutions, Tsinghua University has become an important institution in the field of technology transfer research in colleges and universities. Developed countries such as the United States, Britain, Germany and Italy are still the dominant subjects of technology transfer in colleges and universities, but China has surpassed Germany and Italy and become a major front for technology transfer research of universities. Future research emphasis of technology transfer of universities in China is still mainly about technology transfer performance，academic entrepreneurship, and patent. It is of great significance to promote the internationalization of technology transfer to give full play to the advantages of domestic first-class universities, actively conduct interdisciplinary studies and optimize the external environment of technology transfer.