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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.

In this paper, the biodegradation of organic compounds in refinery wastewater was studied. Different microbial communities suitable for the treatment of refinery wastewater were selected to degrade the pretreated wastewater. The results showed that the degradation efficiency of COD and ammonia nitrogen was 59.4% and 56.7% respectively; the degradation efficiency of COD and ammonia nitrogen was 50.2% and 60.6% respectively. It can be used as the dominant bacteria for further domestication and cultivation of petrochemical wastewater biological treatment.

With the development and popularization of smart products, the technological differences of products are decreasing, and the phenomenon of product homogeneity is becoming more and more obvious. It is necessary for the smart product manufacturing firms have the capability to analyze customer requirement deeply and adapt to the dynamically changing market quickly. Therefore, the traditional technology-oriented product development model is no longer suitable for manufacturers to obtain a competitive advantage. Based on this, this paper proposed a method to evaluate the importance of customer demands based on online comments and quantitative Kano model. First, the Python crawler tool is used to obtain online customer reviews of relevant products and the word segmentation processing is performed to obtain the product features and frequency that customers are mainly concerned about, and then the initial importance of demand can be calculated. Furthermore, use the quantitative Kano model to determine the customer satisfaction and revise the initial importance of the requirements to obtain a more reasonable ranking of the importance of user needs. Finally, a case study is carried out with the smart bracelet as an example to verify the effectiveness and feasibility of the model proposed in this paper.

Objectives: Paper documents are playing an increasingly important role in people's daily work with the development of economy, society and culture. In the practice of judicial appraisal, the sequence of the intersections of ink and seal on suspicious documents can often provide critical information for the detection of criminal cases. The examination of sequence of intersecting seal and ink lines is to judge the sequence of seal and ink mark formation by certain technical means.Methods: A representative black signature pen, ink, and specific paper are selected to prepare experimental samples. Under the given experimental conditions, the field emission scanning electron microscope is used to perform micro-morphology on the cross-sectional characteristics of the samples and all the characterization results obtained are systematically analyzed to summarize the specificity of the sample. Results: The results showed that the proposed method can efficiently discriminate the Permeation Characterization of the sequence of intersecting seal and ink lines.Conclusions: This research is expected to be applied to forensic investigation for counterfeiting documents and bring new developments in the field of document inspection.

Purpose: Based on the perspective of community governance, the paper explores the research path of public space renewal in historic city districts. Taking the historical public space of Lhasa City as an example, this paper analyzes the causes of the characteristics of public space, analyzes the logical relationship between public space and urban renewal and community governance, and finally optimizes the pattern of historical public space of Lhasa City by improving the spatial structure. Create intelligent living blocks and optimize the life mode of historical blocks; Significance: From the human-oriented perspective, the exploration of the public space renewal in the Historic Districts was in essence a process in which people develop continuously and their needs are continuously satisfied. It could meet the multi-level needs of residents at different stages. Secondly, from a social perspective, the innovative pattern of community governance could help achieve self-satisfaction within the district, radiate to the surrounding industries, and relieve the pressure of social employment. Thirdly, from the perspective of urban renewal implementation, the research on the public space renewal the Historic Districts would help promote the balance of social ecological environment, improve the regional governance and promote the high-quality development of the city.

Objectives: With the development of the times, Corporate managers often face decisions concerning the characteristics of corporate social responsibility (CSR), including handling employee relationships, product pricing and product quality. In the critical period of China’s fight against the COVID-19 epidemic, the economic development of enterprises is facing unprecedented challenges. In such a context, some enterprises might prioritize economic benefits in the development and ignore their CSRs. This individual phenomenon will not only restrict the growth of enterprises, but also exert an adverse effect on social development. The exploration of approaches for fulling CSR becomes particularly important under the background of the COVID-19 epidemic. Methods: This paper mainly uses AHP (Analytical Hierarchy Process) to analyze.Results: Hence, this paper attempted to analyze social responsibilities that should be taken on by corporates under the COVID-19 epidemic. Moreover, a corporate social responsibility evaluation system was also established through analyzing the actual situation of some CSR deficiencies in the context of COVID-19 using the AHP method based on the understanding of the CSR concept in literature at home and abroad. In this way, approaches for fulfilling CSR under the COVID-19 epidemic were explored.Conclusions: A CSR evaluation index system is established under the COVID-19 epidemic, so as to force and drive enterprises to persist the enterprise’s voluntary fulfillment of CSR for a long time.

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.

Objectives: In order to alleviate the impact of COVID-19 on China's poverty alleviation work, this paper proposesa performance evaluation method and a recommendation algorithm for poverty indicator system suitable forChina's national conditions based on big data technology. Methods: The evaluation method combines the preciseadvantages of Bayesian classifier and the full-volume processing characteristics of big data to comprehensivelyevaluate the past poverty alleviation achievements. The recommendation algorithm takes the poverty alleviationdata over the years as the research object and realizes the construction method of the indicator system in therelative poverty stage. Results: The comparison with Pearson's correlation coefficient shows that the newevaluation method has more accurate confidence calculation ability. And compared with the classic ALSrecommendation algorithm, the new recommendation algorithm has a more scientific and reasonablerecommendation effect. Conclusions: Finally, the paper proposes relevant suggestions for the next stage of policyformulation, proves that medical and health conditions play an important role in supporting poverty alleviation.

In the process of tourism development, there are some problems that can not be ignored, such as the destruction of natural environment by scenic spot development, unfair competition in the industry, and infringement of employees' rights and interests by enterprises, which directly restrict the development of tourism industry. The issue of tourism corporate social responsibility has been in the sight of global scholars and practitioners. First of all, this paper will study and analyze the relevant theories made so far by scholars and practitioners at home and abroad, to understand the research status of social responsibility of tourism listed companies at home and abroad, as well as the status quo of corporate social responsibility. Secondly, this paper selects 23 domestic tourism listed companies to collect the panel data of their social responsibility reports from 2014 to 2018, and makes an empirical analysis on the sorted panel data through the statistical software Eviews, so as to explore the impact of social responsibility of tourism listed companies on their business performance, And draw the conclusion that tourism listed companies' business responsibility has a positive impact on their business performance, but there is a certain lag in this impact. Based on the research, this paper puts forward some feasible suggestions for tourism enterprises to take the initiative to undertake social responsibility, hoping to provide some help to scholars in related fields and practitioners in enterprises.

Under the background of "made in China 2025", China's logistics development ushered in new opportunities, which put forward newer and higher requirements for the transformation and upgrading of the logistics industry.The fourth party logistics enterprise is a supply chain integrator.At present, there is a kind of fourth party logistics enterprise based on tripartite cooperation and operation mode in China. That is, fourth party logistics enterprises combine transportation enterprises withinsurance companies, and meanwhile rely on logistics information platform to carry out safety management of freight vehicles. In fact,in the process of tripartite cooperation, there are many uncertain factors, which bring multiple risks to the fourth party logistics enterprises. This paper studies and analyzes the risks faced by the fourth party logistics enterprises, in order to determine the important risk factors, so as to provide decision-making reference for the fourth party logistics enterprises to avoid risks. Firstly, this paper identifies the specific risks in the environment, cooperation, finance and management of the tripartite cooperation model from the internal, external and partnership dimensions, and reveals the mechanism of the risks. Secondly, the analytic hie-rarchy process (AHP) is used to calculate the comprehensive weight of each risk index, and the fuzzy synthetic evaluation method is used to determine the probability of risk. Finally, the overall risk level of X Company is ob-tained by establishing an evaluation matrix and weighting calculation according to the membership relationship between the evaluation matrix and the index weight. The results show that: from the perspective of the dimension of risk importance, cooperation risk and financial risk have the highest risk weight in the second-level index; in the third-level index, the behavioral risk of transportation enterprise, working capital risk and insurance company have the highest risk weight, while the weight of natural risk and political risk is lower. In the dimension of risk generation probability, inter-industry competition risk, transportation enterprise behavior risk, insurance company behavior risk and working capital risk are in the higher probability.

Dynamic Systems Theory (DST) has provided a new perspective for SLA studies but it is rarely applied in empirical researches of classroom interactions. Under the framework of DST, this paper explores the current situation and analyzes the problems of classroom interaction of non-English majors’ college English through questionnaire, interview and class observation. Based on the findings, this paper proposes some teaching strategies to create a dynamically harmonious class and enrich the empirical studies of DST.

This paper reveals the influencing factors of background music application in tourist attractions from three dimensions of music selection, application management and supporting services. Using DEMATEL model to analyze the interaction between the various factors and the degree of affect and importance according to the calculation results.With consideration of the key factors of performance activities,lighting, various style, particularmusicartisticconceptionand regional cultural characteristics, this paper puts forward some suggestions on application of background music in A-level tourist attractions.

A method of mining and analyzing remote sensing user needs is presented in this paper. With the increasing number and types of satellites in China, satellites are more and more widely used in national economic construction, which can be used in land and resources census, emergency natural disaster relief, urban construction management, earth environment monitoring and so on. Therefore, the number of remote sensing users expand quickly and the specific content of remote sensing observation needs and remote sensing image data needs is diverse. How to find out the user’s remote sensing resources and data use rules from the large number of remote sensing needs is a key problem. The difficulty lies in that the rules representing the relationship between demand parameters are recessive rather than explicit, which can only be found by complex data analysis, especially under the condition of large amount of data. Data mining technology can find potential as well as valuable rules and knowledge from massive data. It is an effective tool to analyze massive data and an effective technical means to solve the above problems. In this paper, the association rules mining algorithm is adopted to mine and analyze mass of remote sensing user demand data, and find the potential association rules between the demand source, regional scope, time, demand type and other parameters.

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.

In the feasibility study stage of highway engineering construction project, it is one of the bases for compiling investment estimation to reasonably estimate the quantity of subgrade works. Combined with years of practical work, this paper introduces the contents and compilation methods of subgrade works in the feasibility study stage of Highway Engineering in mountainous and hilly areas. Taking 11 specific projects as examples, this paper analyzes the specific application of empirical analysis method, and concludes that the empirical analysis method can be applied to the estimation of highway subgrade engineering quantity in mountainous areas in the feasibility study stage

During the COVID-19 pandemic period, all airlines experienced a severe impact and the route operating cost is very susceptible to the impact of flight duration and aviation fuel prices. This paper analyzes the operation performance of Beibu Gulf airlines (low cost airline company) with data envelopment analysis CCR model in pre-COVID-19 pandemic period. Under the domestic vigorous promotion of tourism development and people's huge demand for travel, the airlines in mainland China continue rapid development, which accelerates the emergence of local airlines other than the four major airlines and leads to increasingly fierce operation competition in the civil aviation industry. Behind the competition among airlines, the operational performance of airlines can best reflect the company's development status. In this context, airlines should choose appropriate operational strategies to strengthen its competitiveness and operational capabilities. The DEA model is a mature input-output research tool, and there have been many studies related to operational performance of the aviation industry. By using Data Envelopment Analysis (DEA) solver software, the input and output indicators from 2017 to 2019 are analyzed. Preliminary results show that routes and oil price factors have not reached effective status. Beibu Gulf Airlines gradually shifts to low-cost mode, the faced challenges are as follows: 1. The competition among domestic low-cost airlines; 2. The current poor overall service quality of low-cost airlines as evaluated by customers; 3. How to arrange routes, flight, service strategy, etc. Airbus uses enhanced aviation systems for this series of aircraft to improve the overall reliability of the aircraft, reduce maintenance and spare parts costs, thus helping airlines greatly reduce maintenance costs, which is very beneficial to low-cost airlines. Based on this, this paper puts forward some suggestions, such as optimizing routes, developing feeder flights in second tier cities of popular destinations, controlling fuel costs, making low-cost aviation fuel reserves, reducing the weight of passengers' carry-on luggage or charging additional baggage charges.

Behind the rapid development of the Internet industry, Internet security has become a hidden danger. In recent years, the outstanding performance of deep learning in classification and behavior prediction based on massive data makes people begin to study how to use deep learning technology. Therefore, this paper attempts to apply deep learning to intrusion detection to learn and classify network attacks. Aiming at the nsl-kdd data set, this paper first uses the traditional classification methods and several different deep learning algorithms for learning classification. This paper deeply analyzes the correlation among data sets, algorithm characteristics and experimental classification results, and finds out the deep learning algorithm which is relatively good at. Then, a normalized coding algorithm is proposed. The experimental results show that the algorithm can improve the detection accuracy and reduce the false alarm rate.

The modernization of industry is inseparable from the development of English teaching.Under the background of "Internet plus", constructing an ecological mode of College English teaching has become an effective way to promote the reform of College English teaching. Based on the analysis of the imbalance of the function of the Internet plus teaching structure, the imbalance between the coordination functions of the ecological subjects, the imbalance between the ecological subjects and the Internet information technology, this paper puts forward the concept of improving the information literacy of the teaching subject and innovating the "teaching and learning". This paper expounds the idea of creating a network ecological teaching environment and giving full play to teachers' guiding role. At the same time, this paper constructs a multi-dimensional interactive ecological classroom, harmonious teacher-student relationship and other specific strategies to build an ecological model of College English teaching, in order to play the role of ecological subject and improve the effect of College English teaching.

The development of industry is inseparable from the improvement of technical personnel's English level. Nowadays, College English classroom is inefficient. Various experts and scholars start from changing the teaching content, teaching methods and teachers' position in the classroom to solve the practical problems. No matter what aspect of the reform has promoted the further development of College English teaching, but it has not completely solved the practical problems in College English classroom. This paper proposes a quantitative teaching model of College English classroom performance to stimulate students' enthusiasm. Through the combination of qualitative analysis and quantitative analysis, this paper analyzes the teaching practice results of College English curriculum integration. The research shows that the integration of College English curriculum and multi teaching education can effectively improve students' English literacy. In the current environment, it is an effective way for colleges and universities to carry out media literacy education. The study also reflects the low level of students' English literacy, which needs to be paid attention to.

The modernization of industrial industry cannot be separated from the development of big data.In order to meet this challenge, cloud data integrity audit has been proposed in recent years and received extensive attention. Based on the in-depth study of the impact of different cloud storage data types on the audit scheme, this paper proposes an audit scheme based on Dynamic Hash table.Based on this, this paper explores a variety of cloud storage audit algorithms for different data types to deal with different security challenges.Facing a series of data security problems brought by cloud computing, this paper analyzes the concept, working principle and characteristics of cloud computing, and discusses the data security risks brought by cloud computing from four aspects. At the same time, this paper elaborates the data security strategy from five aspects: data transmission, data privacy, data isolation, data residue and data audit. In this paper, we propose to adopt end-to-end data encryption technology, build private cloud or hybrid cloud, share table architecture, destroy encrypted data related media, and introduce third-party certification authority for data audit.

Artificial intelligence and deep learning technology are important technologies widely used in manufacturing industry.With the help of performance appraisal system to comprehensively evaluate the performance of teachers is a good measure. Therefore, it is very necessary to develop a performance appraisal system for university teachers by using artificial intelligence technology. This paper first demonstrates the feasibility of the development of performance appraisal system, and scientifically divides the user roles. According to the business requirements, the core business process of the system is established, and the system architecture and functional modules are designed. At the same time, this paper establishes the conceptual model and logical model of database. Finally, SSH framework and extjs framework are used to realize the functions of the system. In this paper, the reliability, stability and security of the system are tested to ensure that the system meets the functional and non functional requirements. The operation results show that the system has stable functions, simple operation and convenient maintenance, and basically meets the needs of users at different levels.

Industrial manipulator occupies a very important position in industrial production. The tracking control of its control system and joint trajectory has always been a research hotspot. But the manipulator is a multi input multi output system, which has the characteristics of nonlinearity and strong coupling. Radial basis function (RBF) neural network has high nonlinear mapping ability. In this paper, the structure characteristics, learning algorithm and application of RBF neural network in manipulator control are analyzed. In this paper, the nonlinear approximation property of RBF neural network is theoretically verified. This paper analyzes the basic structure of picking manipulator system in detail. At the same time, the Lagrange Euler method is used to deduce the dynamic equation of the two degree of freedom series manipulator, and the inertia characteristics, Coriolis force and centripetal force characteristics, heavy torque characteristics are analyzed. The nonlinear system model of manipulator based on S-function is established in MATLAB, and the dynamic model is transformed into the form of second-order differential equation to facilitate the introduction of the designed algorithm.

The advent of the era of big data has brought many opportunities and challenges to the marketing of enterprises. Enterprises should develop marketing channels according to the requirements of the market. At the same time, enterprises further mine valuable data information, so as to improve customer satisfaction for enterprise products. This paper analyzes the opportunities and challenges brought by the era of big data to the marketing market of enterprises, and explores how to innovate the marketing strategies of enterprises. This paper describes the background of the current data mining and the main data mining technology in this field. Then, it focuses on the association rule algorithm which is widely used in knowledge data mining technology and its application in marketing strategy.

Under the influence of artificial intelligence, education is undergoing a profound innovation. On the basis of expounding the important position of artificial intelligence in the field of computer, this paper studies the modeling method of college comprehensive teaching mode based on artificial intelligence. This paper analyzes the feasibility of applying the task driven method to the teaching of artificial intelligence course based on the teaching objectives of artificial intelligence course and the characteristics and steps of task driven teaching method. This paper proposes a task driven teaching model of artificial intelligence. Then, this paper explores the specific shift process of instructional design paradigm under the background of artificial intelligence. In the pre intelligence stage, this study uses the paradigm shift analysis framework to verify whether Cai instructional design, multimedia instructional design and information instructional design have migration. For the teaching design in the intelligent stage, this paper first expounds the inevitability of the paradigm shift of teaching design under the background of artificial intelligence from the aspects of the opportunities brought by artificial intelligence to education and teaching, the problems of the original information-based teaching design and the many challenges it faces. At last, the typical application cases under the guidance of intelligent instructional design paradigm are described in detail.

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.

Innovative development of College students' education is the endogenous driving force of manufacturing development.In recent years, with the rapid development of we media technology represented by microblog and wechat, we media has become the most active main platform of network communication. In the irresistible development trend of we media, the education of college students is facing opportunities and challenges. This paper studies the innovative development model of College Students' Education under we media based on big data. This paper analyzes the characteristics of we media environment, such as the nodalization of communication subject, the interaction of communication mode, and the fragmentation of communication content. At the same time, this paper analyzes the connotation of the concept of College Students' education innovation, the concept of College Students' Ideological and political education innovation under the environment of we media, and its basic characteristics, such as the equality of education concept, the interaction of education methods, the life of education content and the era of education carrier. At the same time, it also discusses the significance of students' educational innovation in the environment of we media. The experimental data show that the new method can build a new education mode, so as to actively and effectively carry out the education and guidance of college students.

The network structure of P2P-SIP system based on JXTA is one of the core technologies in industrial intelligent Internet.JXTA is an open peer-to-peer platform, which provides basic application services for building P2P network. This paper chooses JXTA development platform to build P2P network, and then constructs SIP soft terminal on it. Firstly, it introduces the background knowledge, related research, P2P network technology, JXTA technology and SIP protocol. Then, the feasibility of p2p sip system is analyzed, including the combination of P2P and sip, network structure and framework structure. Then the routing mechanism of JXTA is deeply studied, including distributed index of shared resources, limited range traversal, dynamic view of sink node and loose and consistent distributed hash table (DHT). At the same time, this paper proposes an improvement strategy to overcome the shortcomings of JXTA routing mechanism such as limited range traversal and loose consistent DHT, that is, introducing the chord ring of consistent hash algorithm in the aggregation network layer. Based on the in-depth study of JXTA structured network and SIP protocol, a P2P SIP system is designed and implemented. The experimental results show that the system can maintain normal SIP communication without maintaining the central server.

With the rapid growth of the number of Web services, it is necessary to build an efficient web service recommendation system in the face of massive web services. In order to recommend high-quality services to users, the key problem is how to obtain the s value of Web services. This paper proposes a collaborative web service recommendation method based on location clustering. Firstly, users are clustered according to the autonomous system by using the correlation between QoS and user location. According to the clustering results, the system fills in the vacancy Qos value; Then, the vacancy Qos value is filled in in advance and the similarity between active users and each user is calculated. Based on this, to P-K algorithm is used to obtain the most similar Qos value to predict the unknown service for active users to complete the recommendation. The method proposed in this paper can effectively solve the problem of data sparsity and cold start of Web services. At the same time, a better balance between accuracy and coverage is obtained.

In the current digital information age, logistics is no longer the isolated transportation and storage of enterprises, nor is it the appendage of enterprise production and sales. This paper studies the logistics informatization of industrial enterprises and its application in industrial supply chain management under the background of big data. By analyzing the formation mechanism and covering modules of logistics informatization, this paper constructs the evaluation index system of logistics enterprise informatization. Based on the fuzzy evaluation method and the specific data of logistics information modernization of Chinese enterprises, this paper gives an application example of the evaluation model. Finally, this paper puts forward a reasonable analysis of the information construction of China's logistics enterprises in the future. The results show that this method can improve the efficiency of logistics informatization and supply chain management of industrial enterprises, and has certain reference significance for the research of logistics intelligence of industrial enterprises.

Collecting data from the Internet is the key to solve the problem of data sources. This paper studies the image information collection system based on Python web crawler technology.This paper studies and develops a data acquisition system based on Python web crawler technology, which realizes the automatic collection of subject data. In this paper, we use urllib, beautiful soup, threading library to design and develop a system model framework including data crawling, exception handling, robots protocol management and multithreading management modules. Through the application of specific cases, this paper introduces the data acquisition process. Experimental data show that compared with the traditional manual data acquisition, the proposed method greatly improves the work efficiency.

With the rapid increase of employment pressure and academic pressure, the psychological status of higher vocational college students is increasingly concerned by schools and teachers. In order to ensure college students' mental health and provide timely and effective psychological counseling and guidance, this paper establishes an information-based mental health counseling platform. Based on big data analysis, this paper studies the modeling of Vocational College Students' mental health. This is the significance of mental health self-service system research under the background of big data. Based on the necessity of research on mental health self-service system and the psychological factors of higher vocational college students, this paper studies the technical framework and functional structure of mental health self-service system. This paper analyzes the difficulties encountered in the operation of the system, and puts forward solutions to build up the platform for the mental health information platform in the era of Internet plus.

It is the key for the government to control the degree of information alienation to study the mechanism and control model of network public opinion information alienation for big data. This provides a theoretical basis for the government to deal with and manage the network public opinion. This paper uses qualitative analysis of the information alienation mechanism of network public opinion under the big data environment, and expands the evolution mechanism model of network public opinion to the information alienation control model. On this basis, the classification of government control information alienation is studied by numerical simulation. This paper takes the actual forum, blog, website with news comment function as the research object, and proposes a prediction platform construction scheme based on Java, which integrates a variety of prediction models. This provides useful exploration and ideas for quantitative research on the complex social phenomenon of network public opinion.

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 development of educational information technology makes the construction and application of online teaching space more and more common. As a field and assistant system, the essential requirement of online-teaching space is to ensure that learners can continuously engage in learning. The goal of the application of flow theory in teaching is to stimulate learners' flow experience, so as to improve the learning effect and achieve the learning goal. Starting from the design of online teaching based on flow theory, this paper puts forward the design requirements and principles of its teaching links, including the analysis of individual chemical situation, hierarchical and classified teaching objectives and tasks, multi scene teaching links and teaching improvement, and then puts forward the corresponding online teaching space framework. This paper argues that online teaching space should be composed of intelligent guidance system, teaching support system, situational intervention system and flow support system. Under such conditions, teaching space is more conducive to the implementation of online instructional design based on flow theory, and can help space constructors and participants achieve continuous improvement of teaching effect.

The agglomeration of cultural and creative industries has developed into a remarkable trend under economic internationalization. In this paper, literature review and research status of cultural and creative industries are firstly conducted. The spatial distribution characteristics of cultural and creative industries in Zhejiang province are analyzed by using location entropy and data from 2012 to 2017. The conclusion shows that the cultural and creative industries in Zhejiang province present a spatial clustering trend, but different cities have different development levels. This paper constructs the indicator system of influencing factors and analyzes its influencing factors by means of grey correlation. It shows that economic factors have the greatest influence on the agglomeration of cultural and creative industries, followed by technological, resource and market factors. The development and agglomeration of the cultural and creative industry in Zhejiang province depends on the development of industry, theapplicationandmanagementofinformationtechnology and the lack of creative talents is the obstacle to its development. Therefore, education should be developed, mass innovation should be encouraged, and a good market environment should be created for the cultural and creative industry.

This paper draws on the research results of the World Bank and domestic and foreign scholars on the business environment and analyzes the development process of private manufacture enterprises in today's society. This paper summarizes the factors that affect the development of business environment and puts forward the evaluation index of business environment from the perspective of private manufacture enterprises.

Applying green supply chain coordination management is an important strategy for battery manufacturing enterprises, which can effectively develope the campaign of "green industrialization" and promote to recycling of resources. Aiming to improve the green supply chain performance well, firstly this paper constructs a collaborative management model to evaluate the performance of battery manufacturing enterprise from the internal and external supply chain, based on the theory of supply chain. After that, this paper makes an empirical analysis on the system efficient and green performance of the enterprises’ green supply chain. As TIANNENG is the largest electric bicycle enterprise in China, here we take it as an example. The results show that the overall green performance of China's electric bicycle battery manufacturing enterprises is well, but with obvious fluctuation. The internal green performance is relatively stable, and there needs new power to get improvement; the external green performance fluctuates fiercely. The results also show the battery manufacturing enterprises should improve the level of waste collection and recovery, increase the efficiency of residual heat recovery and utilization, and improve the organization of green supply chain.

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.

An effective estimation method for the highway reliability management according to the Zhukov usage model based on the recursive test is put forward. This method makes use of the important sampling technique to ensure that under the conditions of the unbiased reliability estimation, the depth recursion is used to measure the difference between the operation profile and the distribution of the zero variance sampling, to correct the test profile by adjusting the transition probability between all the states through the heuristic iterative process. It has proved theoretically that the reliability of the estimation using the modified test profile test is unbiased estimate with the variance of 0. Finally, the heuristic iterative algorithm for the generation of the optimal test profile of the highway reliability estimation is given. The simulation results show that the method put forward in this paper can significantly reduce the variance of the estimate compared with the Newton algorithm, and can increase the speed of the recursive test while improving the estimation accuracy at the same time. The research done in this paper can effectively meet the requirements of the transportation industry in the tertiary industry.

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.

This paper takes listed companies in Shanghai and Shenzhen stock markets as research samples to analyze and test the relationship between executive career expectation and enterprise risk. This paper argues that manufacturing enterprise executive career expectations have a dual impact on corporate risk, one is to increase corporate risk through investment effect, the other is to reduce corporate risk through reputation effect. The results show that, in the two effects, reputation effect plays a leading role, that is, the higher the career expectation of executives, the more attention they pay to the professional reputation they try to build. In order to protect their own reputation from damage, executives pay more attention to the risk management and internal control of enterprises, so as to reduce the risk of enterprises. This also shows that reputation has a "implicit" incentive effect on executives .This study provides a theoretical basis for enterprises to formulate "explicit" and "implicit" incentive contracts.

Watershed algorithm is used widely in segmentation of droplet overlapped spots on water-sensitive test paper. However, the phenomenon of over-segmentation, however, is often caused by noise and subtle changes of gray levels in images. To further improve segmentation accuracy of watershed algorithm, this paper proposes a cyclic iterative watershed segmentation algorithm. Through statistical analysis and logistic regression, machine learning models were classified to extract overlapping droplets on test papers. Loop iterative processing of seed points segments overlapping droplets with appropriate thresholds. Compared with fixed threshold watershed segmentation, this method has higher precision and efficiency for spray droplet evaluation in pesticide application.

High background noise, cracks, fuzzy boundaries image containing the chromatism, etc are the common problems faced in the low contrast image recognition, this paper takes the core fracture identification of two-dimensional section as an example, and highlight the point, simplify the problem, this paper only considering the three dimensional images of two-dimensional cross section along the direction perpendicular to the core shaft, focusing on the identification of disc core cracks within the dark grey. Each voxel based on 3D digital images corresponds to a gray value. The smaller the value, the blacker the corresponding voxel will be. The larger the value, the whiter the corresponding voxel is. By fine-tuning the background color difference, filtering and denoising, marking the non-crack area, secondary denoising by graphics method and other algorithm methods, the identification efficiency of the crack area in the two-dimensional cross-section diagram of the core column is effectively improved. This method can also be used as a solution to other problems in similar scenes.

Promoting the modernization of the national governance system and governance capabilities is an important starting point to promote the advancement of the industrial structure and the green development of the industry, and it is also an inevitable requirement for my country to achieve high-quality economic development. The relationship between ecological governance capabilities and economic governance capabilities runs through national governance. A main line of the modernization of the system and governance capabilities,only by accurately measuring and evaluating my country’s ecological and economic governance and the synergy between the two can we better promote the development of the new normal economy. For this reason,based on the research and evaluation of province data from 2015 to 2019, this paper found that the ecological governance capabilities and economic governance capabilities of China's provinces are quite different. Further, in terms of the coupling coordination degree between the two, in the time dimension, the coupling coordination degree between the ecological governance capacity and economic governance capacity of each province showed a trend of increasing and then decreasing during the period 2015-2019, but generally showed an upward trend, with the highest point being reached in 2016; in the regional dimension, there were large regional differences in the coupling coordination degree between the ecological governance capacity and economic governance capacity, the coupling coordination degree of ecological governance capacity and economic governance capacity is positively correlated with the level of economic development. This paper provides a theoretical basis for the objective evaluation of the coupling coordination degree of ecological and economic governance capacity in China, and has important practical significance for the coordinated promotion of the modernization of the national governance system and governance capacity.

Objectives: Underwater target recognition through simulation robot, or manual acquisition of seabed image data, the cost of sampling is high, the sample data obtained is limited, and the image quality is poor, and the data can be used for training is small. Methods: Aiming at this problem, this paper improves the algorithm based on yoov4, modifies its feature extraction backbone network, and proposes three kinds of YOLOV4 algorithms based on different Mobile net backbone networks to test the underwater target recognition in the case of small samples. In this paper, the real image of the seabed is used as the original data for training, and the data which is different from the training set is used for prediction. Result: Compared with the original YOLOV4 algorithm under the same conditions, the experimental results of MobilenetV1_YOLOV4 algorithm has the best MAP(86.04%) and FPS(52); and the histogram equalization method is used to enhance the image, which can be used as a further supplementary recognition of the missed target, and reduce the missed rate. Conclusions: The algorithm takes into account both lightweight and accuracy, and provides support for underwater target recognition in marine operation development and aquaculture

As the financial markets have evolved, the cross-shareholding networks have been formed among Chinese enterprises with equity as the concluded relationship. Exploring the impact of the cross-shareholding networks on financing constraints has important implications for the decisions of manufacturing companies. This paper uses the social network method to characterize the cross-shareholding networks of manufacturing companies from 2007 to 2019 and explores the effects of the cross-shareholding networks on financing constraints. The innovation of this paper is to explore the relationship between the two. It is concluded that the centrality or structural holes richness of manufacturing companies in the cross-shareholding network is inversely related to the financing constraint. The higher the centrality or the richer the number of structural holes, the lower the level of financing constraints.

Tangshan is a city rebuilt after the earthquake. The urban construction was replanned, which directly designed the road structure. Therefore, this paper analyzes Tangshan bus network from two aspects of topologic properties and road structure. After analyzing the data of Tangshan bus network, this paper proposes an analysis method based on complex network theory for Tangshan bus network. This paper first established Tangshan bus line Space-L network model, and obtained node degree, node strength, bearing pressure, and clustering coefficient in the model. And then established transfer Space-P network model, with topologic properties, such as node degree, average distance, closeness centrality and betweenness centrality obtained. In order to distinguish different districts precisely, the bus stops in different districts are marked with different colors in Tangshan bus model figure. Finally, spatial bus road structure is studied for Tangshan including Fengnan district. And according to the analysis results, some feasible suggestions are given. The results of this study may provide reference and guidance for researchers on Tangshan bus route planning and design

Highway repair cost mainly depends on the toll income, which in turn is associated with the traffic volume. Scientifically making decision for the application of repair materials is within the reasonable planning of managers regarding road maintenance scale and funds. For exploring effective strategy specific to the highway maintenance plan, the paper focuses on integrating the utility factor of traveler into the highway repair decision. Relevant problems are introduced, together with the establishment of the Stackelberg model. Considering the sensitivity analysis, the heuristic algorithm is employed specific to the traffic volume N. The paper solves the decision-making model with regard to the two expressways’ maintenance plan, as well as derives corresponding strategies. At last, the paper concludes, based on analyses, the general process regarding the maintenance decisions of multiple highways with the traffic volume N, assisting highway operators in making effective decisions.

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.

UAV is one of the important achievements of scientific and technological innovation, which has been widely used in various fields of life in recent years. UAVs of composite materials are the most popular because the composite itself has designability, and can be optimized according to the strength and stiffness of the aircraft without changing the structural weight. In order to ensure the UAV to carry out more accurate image acquisition under the actual ground conditions, through the analysis of decision variables, this paper uses the linear weighting of image shooting range and pixel accuracy to establish the objective function, and establishes the optimal shooting angle under different constraints Considering the actual motion characteristics of objects such as automobiles, this paper assumes that the tracked ground targets are a class of motion objects with non-integrity constraints when the flight altitude of UAV is fixed and the flight speed is constant. The ground target model and the flight dynamics nonlinear model are established. This paper presents a new RRT* algorithm for path planning based on the obstacles encountered by UAV during flight, that is, using the cost function to select the node with the minimum cost in the field of expanding nodes as the parent node, using the MATLAB to select a reasonable obstacle avoidance strategy, the global optimal route is obtained by smoothing processing, and the data simulation test is carried out. The experimental results show that the model is robust.