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The Industrial Internet has grown rapidly in recent years, and attacks against the Industrial Internet have also increased. When compared with the traditional Internet, the industrial Internet has a more complex network structure, and the traditional graph neural network attack behavior detection model cannot well adapt to the complex network environment. To make the model better adapt to the complex network environment, this paper proposes the E-minBatch GraphSAG model. First, the application layer source port and source IP address is used as source nodes, the application layer target port and target IP address are used as target nodes, and the remaining traffic information is used as edge information to complete the construction of the graph structure data, and then the constructed graph structure data is presampled to select the edge information that needs to be aggregated next, followed by using the AGG aggregation function to aggregate the information in the domain generated by the presampling process. Finally, the information of two adjacent nodes is aggregated as edge information to classify the edges. Increase the number of IP addresses in the UNSW-NB15 dataset, and then use it for model training and testing. The experimental results show that the accuracy of the model reaches 99.49% in a relatively complex network environment. In this paper, the E-minBatch GraphSAG model is presented in an attempt to solve the problem of attack detection in the complex industrial Internet environment. [ABSTRACT FROM AUTHOR]

Based on data from 18,741 respondents in the 2010 and 2017 Chinese General Social Survey, this paper empirically analyzes the influence of Internet usage on gender division of labour bias by using the propensity score matching model and tests the sensitivity of the estimated results. The results show that firstly, a series of personal characteristics such as gender, age, years of education, ethnicity, political status, health status, marital status, household registration status, labour income, mother's years of education, and family economic status will have a significant impact on whether they frequently use the Internet. Secondly, frequent internet usage can significantly reduce respondents' agreement of gender division of labour bias, indicating that frequent internet usage can significantly improve respondents' gender division of labour bias, and the results of Rosenbaum's bound test and H-L confidence interval test both support the above conclusions. Thirdly, frequent internet usage can significantly reduce the recognition degree of women respondents and men respondents to gender division of labour bias, which indicates that frequent internet usage can not only strengthen women's self-identity to a great extent but also improve men's exclusion bias to a certain extent. Therefore, this paper puts forward some suggestions from two aspects: improving the accessibility of internet usage and guiding and controlling the content and behavior of various online media. [ABSTRACT FROM AUTHOR]

The rapid development of contemporary technology has subtly changed people's way of life, and the quality of people's life has been greatly improved. With great room for development and bright prospects for development, as the Internet develops, people are paying more and more attention to smart home experiences. However, the traditional household is increasingly ill-suited to today's increasingly fast pace of life and there is an urgent need to develop a human smart home system. The aim of this paper is to explore the optimal design of an Internet-based smart home system for the new era. In this paper, we first present a general schematic diagram of an Internet-based smart home system. The system focuses on the main control module and uses a combination of wireless communication technologies in its design. Android will then be used as an adaptive platform, and the development of the system on the mobile side will be completed using Java and cloud services and other related technologies. The smart home system proposed in this paper actually creates a technology platform for smart home applications that monitor real-time changes in the indoor environment of the house, the security status of the house, and the remote control of the house's electrical appliances. Finally, the experimental results obtained from testing the system proposed in this paper show that the system proposed in this paper is feasible. In this paper, the control commands of five nodes are sent 200 times cyclically, and the communication frequency of each node is more than 95%. [ABSTRACT FROM AUTHOR]

Based on the continuous development of Internet technology, the Internet has been fully applied in many fields. How can enterprises effectively use Internet technology to improve production efficiency, optimize the operating environment, and consolidate overall profitability? Combining the actual situation of enterprises with Internet technology has become one of the hot issues in the current society. With the increasing business volume of enterprises, the financial data generated by the data management system of enterprise financial department has become increasingly huge. At the same time, a large amount of financial data plays a vital role in the development of enterprises. In this paper, two data processing technologies, big data technology and data mining technology, are adopted to design and optimize the enterprise financial management model under the framework of Internet. It is very important and urgent to use data mining technology to realize the systematic management of enterprise finance, and it is also of practical value to study huge enterprise financial data based on data mining. In order to maintain sustainable development in the fierce market competition, enterprises must change the existing financial analysis work mode. Based on the theory of enterprise financial management under Internet information, this paper compares the factors affecting the financial management mode. Therefore, it is necessary to design the financial management model of enterprises. [ABSTRACT FROM AUTHOR]

Internet financial (IF) is an exchanged of goods and pays money over the Internet. The IF plays a critical role in financial fields. The IF is an innovation in the market and financial. The IF is better than the traditional financial. The IF has many criteria and subcriteria. Because there are so many different types of Internet-related financial risks, it is important for the institutions that deal with them to have effective risk prevention, control, monitoring, and management systems in place and to alert the public to any new threats. The goal of this paper is to determine the impacts of IF and big data risk control monitoring. The concept of multicriteria decision-making proposed in this paper deals with four main criteria and seventeen subcriteria. This paper proposed a Decision-Making Trial and Evaluation Laboratory (DEMATEL) method for computing the influence of the IF. The DEMATAL method is integrated with neutrosophic sets for overcoming incomplete and vague information. The applications are proposed to show the outcomes of the proposed methodology. [ABSTRACT FROM AUTHOR]

Machine translation is showing an increasingly broad application prospect as the Internet becomes more widely used. The method based on the principle of maximum entropy is primarily used in this paper to determine the subject clause for translation. Its feature set does not necessitate extensive linguistic knowledge, and it is less reliant on it than other methods. It can also add arbitrary features and flexibly combine a large amount of scattered and fragmented knowledge. As a result, the maximum entropy model is used as the classifier in this paper, and lexical and sentence features are used to effectively combine the rules and statistical knowledge. The subsentence recognition process is broken down into three stages, with different features extracted at different stages and the maximum entropy model applied multiple times. At each stage, the classifiers are trained. The translation accuracy and recall rate of Chinese gapped subject topic sentences are improved by more than 5% in a maximum entropy model, according to the results. This method of feature description is particularly useful for identifying sentence endings in Chinese subject topic sentences with gaps. Its translation is closer to the correct translation, indicating that the proposed method's basic concept—the rationality of segmentation—is correct. The algorithm based on the maximum entropy model performs better in practice. [ABSTRACT FROM AUTHOR]

The present industrial Internet platform (IIP) is subjected to numerous complex security issues, and thus technologies that focus on achieving data security of the IIP has become top priority. The data security crisis of IIP gets mainly reflected in the malicious deletion and theft of data, the random access of terminal devices, and the low security of traditional security authentication methods. Blockchain technology adopts distributed network architecture, wherein through asymmetric encryption mechanism, it helps to solve problems associated with single point of downtime and privacy data leakage of central management of industrial Internet. In addition, considering the accept of random access and deletion of industrial interconnection terminal equipment, this paper uses the role access control mechanism based on Hyperledger, thereby regulating user access according to the user's role in the platform and management of terminal equipment through chain code. The paper includes the following contributions: (1) firstly, it expounds the research background and significance of the IIP and introduces the research status of the industrial Internet and blockchain at home and abroad. (2) Secondly, the IIP architecture is designed based on blockchain technology and implements a sensor node management and monitoring system. (3) Thirdly, the paper uses the gateway to preprocess the collected data, thereby reducing the data transmission delay and improving the real-time and effectiveness of the data. The paper finally implements neural network to evaluate the construction quality of industrial Internet sensor nodes and obtains promising test results. [ABSTRACT FROM AUTHOR]

Since the services on the Internet are becoming increasingly abundant, all walks of life are inextricably linked with the Internet. Simultaneously, the Internet's WEB attacks have never stopped. Relative to other common WEB attacks, WEB DDoS (distributed denial of service) will cause serious damage to the availability of the target network or system resources in a short period of time. At present, most researches are centered around machine learning-related DDoS attack detection algorithms. According to previous studies, unsupervised methods generally have a high false positive rate, while supervisory methods cannot handle large amount of network traffic data, and the performance is often limited by noise and irrelevant data. Therefore, this paper proposes a semisupervised learning detection model combining spectral clustering and random forest to detect the DDoS attack of the WEB application layer and compares it with other existing detection schemes to verify the semisupervised learning model proposed in this paper. While ensuring a low false positive rate, there is a certain improvement in the detection rate, which is more suitable for the WEB application layer DDoS attack detection. [ABSTRACT FROM AUTHOR]

In recent years, the development of the Internet of Vehicles (IoV) has led to an increase in the demand for data sharing services for the IoV. In the era of big data, safe and convenient data sharing services for IoV are inseparable from the support of reliable data. With the increase in the number of smart cars, how to filter the data provided by vehicles while protecting privacy to improve the quality of data sharing services has attracted the attention of scholars. However, in the existing data sharing scheme for IoV, the vehicles that provide data are selected based on the reputation mechanism or the voting mechanism. Our analysis shows that these two mechanisms lack objectivity and are vulnerable to cooperative attack. Therefore, based on spatiotemporal matching, a new trusted relationship establishment method, this paper proposes an objective and cooperative attack-resistant vehicle selection scheme for data sharing in IoV. Bloom filters and an exponential ElGamal encryption scheme are used to implement private set intersection cardinality (PSI-CA) technology for evaluating spatiotemporal matching level. In this paper, the scheme proposed is of great significance to improve existing vehicle services and improve driving safety. [ABSTRACT FROM AUTHOR]

Internet technology has a great impact on the application and development of libraries. In order to provide users with more convenient and efficient services, this paper puts forward the development strategy of unmanned intelligent digital libraries in the era of "Internet +." Design by IntelliSense module, network transmission module, data storage and analysis module, and intelligent service module of no wisdom digital library service mode, IntelliSense module using RFID technology, close range wireless communication technology, and other Internet technologies to collect the wisdom of unmanned services of all kinds of information in the digital library; use network transmission module of the wireless LAN network, Internet technology such as RFID network to transmit information collected to store in a data storage and analysis module; and at the same time using k-means clustering algorithm in data mining techniques such as analysis of collected data, based on the analysis results provide users with intelligence services such as search, wisdom is recommended. The experimental results show that the developed strategy meets the expected functional requirements, can accurately perceive the location of data, and effectively realize the intelligent service function. [ABSTRACT FROM AUTHOR]

The heart and soul of the Chinese people and the greatest cultural soft power of contemporary China are excellent Chinese healthy cultural environments. Short video platforms and short videos have a chance to develop as the Internet revolution continues to intensify and mobile clients gain popularity. This essay examines the challenges involved in producing brief videos that promote a healthy cultural environment in the new context of internet plus, as well as the means of transmitting such videos and creative methods for doing so. Excellent communication content is created in this paper from two perspectives of visual presentation and in-depth meaning, allowing users to fully understand the connotation of a healthy cultural environment. Through the theme of a healthy cultural environment, topic discussion and characteristic activities will be carried out to encourage users' spontaneous sharing of the interactive behavior of communication and the fission communication of brief videos of a healthy environment. This paper develops a model for intelligent recommendation and short video content analysis based on this. In order to further encourage the creative dissemination and development of short videos about healthy cultural environments, the model is used to choose high-quality videos and accurately recommend them to the appropriate users and to serve as an example of how a quick video can be used to communicate innovation and a healthy cultural environment. [ABSTRACT FROM AUTHOR]

With the rapid development of society, the emergence and innovation of network buzzwords continue to emerge. On the rapidly changing social network platform, previous sentiment analysis tasks cannot fully meet the needs of users. This paper aims to study the metaphorical function and affective cognition in Internet English loanwords. This paper proposes a neural network algorithm and conducts a comprehensive analysis of the metaphorical function and emotional cognition of Internet English loanwords. The neural network algorithm has a powerful sentiment analysis function, so the article chooses this algorithm. The experimental results of this paper show that with the popularity of the Internet, more and more people go online. In 2013, the proportion of Internet users was the highest at 23.2%. In 2015, the proportion of Internet users was 38.3%, an increase of 15.1% in just one year. The percentage of people online will reach 68.3% by 2021, indicating that almost half of the people have learned to surf the Internet. This also means that Internet English loanwords have also been developed. The rapid development of loanwords in Internet English is because they have metaphorical functions and express people's emotions. [ABSTRACT FROM AUTHOR]

In order to improve the recognition effect of student weariness emotion in English classroom, this paper combines intelligent Internet of Things technology and big data technology to construct an improvement model of student weariness emotion in English classroom. In the process of student facial expression recognition, according to the given grayscale threshold, this paper extracts the surface contour information from the three-dimensional volume data, extracts the student's surface contour information, and uses triangular facets to fit to form a triangular mesh. Moreover, this paper renders a triangular mesh model and shows how to speed up the calculation of PFH. In addition, this paper proposes a Fast Point Feature Histogram, which uses an iterative closest point fine registration algorithm for image registration. Finally, this paper constructs an emotion recognition model of students' weariness in English classroom. From the test results, it can be seen that the student weariness emotion recognition system in English classroom proposed in this paper can effectively identify students' weariness emotion. [ABSTRACT FROM AUTHOR]

Humanistic quality refers to the research ability, knowledge level of the humanities, and the human inner quality of the humanities. The purpose of this paper was to make a research on the cultivation of humanistic literacy of nursing undergraduates in the context of the Internet era. This paper first makes a general introduction of the classification of the Internet and the definition of humanistic literacy, analyzes the results of two rounds of expert consultation method, and then obtains the current situation of nursing undergraduates through the questionnaire survey of school nursing undergraduates. The experimental results showed that in the current survey situation, the expert support rate of humanistic care is as high as 90%, indicating that humanistic care is especially important for a nursing undergraduate. The total score of humanistic nursing ability of undergraduate nursing students was 127.03, which is in the middle level higher than that of most domestic studies, but lower than that of American nursing students. [ABSTRACT FROM AUTHOR]

Digital literacy has been increasingly important among workers in the labour market, and it also has been viewed as a micro reflection of the growing of China's digital economy. Internet use is an integral part of workers' digital literacy, which has a significant influence on entrepreneurial decision-making. This paper aims to explore the direct impact of Internet use on entrepreneurship, analyzing the mechanism and group differences of Internet use. It has a practical meaning to China's policies of promoting employment. Based on the data of China Labour Dynamics Survey (CLDS), the paper uses Probit model and 2SLS regression analysis to examine the direct impact of Internet use on entrepreneurship, and to analyze its mechanism by adopting the mediation effect model. The study indicates that Internet use has significantly increased the probability of starting a business, the impact has been stronger on the new generation, rural residents and the groups with work experience. Further analysis shows that Internet use not only increases venture capital, social capital and income, but also helps to shape individual workers' learning ability, which has an indirect effect on promoting entrepreneurship. The above results show the way of promoting workers' willingness of entrepreneurship, which are expanding Internet access, promoting policies of improving workers' Internet skills, focusing on cultivating comprehensive cognitive abilities including risk awareness and learning abilities. [ABSTRACT FROM AUTHOR]

In order to improve the effect of ecological civilization quality education (ECQE) for college students under the background of "Internet +," this paper combines the AHP method to construct an intelligent analysis model. Moreover, this paper introduces the improved analytic hierarchy process and database technology into the ECQE system and uses the AHP algorithm to make the system produce more objective and scientific results. At the same time, the system overcomes the individual subjectivity of decision-makers, improves the effectiveness of decision-making, and makes the entire decision-making process easier to implement. In addition, this paper combines the improved algorithm to construct an ECQE model for college students under the background of "Internet +." Based on the experimental research results, it can be seen that the ECQE model for college students proposed in this paper has a good effect under the background of "Internet +." [ABSTRACT FROM AUTHOR]

In the context dominated by Internet communication, people's various emotions can be clearly reflected through network public opinion, whether it is the view of political affairs, the preference for entertainment, or the demand for life. This also allows management or providers to meet their needs more specifically. Based on today's need to understand the trend of Internet public opinion, this paper describes a deep neural network (DNN). A deep neural network is a machine learning model that is the foundation of deep learning and has a strong ability to mine potential information in data. By improving the loss function of the neural network, this paper reduces the influence of unbalanced data on the classification results and improves the classification effect of the model on a small number of categories. Aiming at the different lengths of Internet text, a more robust model of text sentiment classification is proposed, which makes the HCB-Att model better extract the local information and contextual information of the text. Finally, through comparative experiments, the optimization model used in this paper is proved to be effective for the analysis of network public opinion sentiment. [ABSTRACT FROM AUTHOR]

With the development of intelligent sensing and communication, industrial Internet of Things (IoT) networks have been widely applied in many application scenarios. As a typical application of industrial Internet of Things (IoT) networks, industrial Internet industry has attracted much attention from researchers. Specifically, in the transformation and upgrading of small enterprises in the Internet industry, their paths and mechanisms are very important. The correct path and mechanism of transformation and upgrading can promote national economic growth, strengthen market competition, enhance market vitality, and optimize economic structure. Small and medium-sized enterprises have always been the backbone of my country's economic development, especially in terms of promoting employment, promoting technological innovation, increasing national taxes, and improving people's livelihood. In this paper, when discussing the relationship between knowledge sharing and business performance of SMEs, the organization name is introduced as an intermediate variable. By combining theoretical research and empirical research, a theoretical model is established, research hypotheses are proposed, and the previous research questionnaire is used, by exploiting the intelligent sensing and communication. As a reference, a research questionnaire suitable for the reality and needs of this research was designed. On this basis, this article first has a deep understanding of the research status of comprehensive budget management at home and abroad and analyzes the innovations and shortcomings of this article in the analysis process, understands the mobile Internet, integrates budget management, and integrates information for budget management. It prove the feasibility of helping small and medium-sized enterprises to transform in the mobile Internet environment and analyzes the feasibility of implementation to help small and medium-sized enterprises; it also shows that the industrial Internet industry is helpful to the transformation of traditional industries and is conducive to the transformation and upgrading of enterprises, thereby solving the problem of high cost of building an information platform, reducing the workload of IT personnel and extending the budget Management time provides new ideas for promoting the transformation and upgrading of the Internet for small and medium-sized enterprises, which can increase the efficiency of the small and medium-sized enterprises by more than 40% and greatly increase their profits, through the intelligent sensing and communication. The research of this paper provides important guidance for the application of industrial IoT networks, especially for the intelligent sensing and communication. [ABSTRACT FROM AUTHOR]

At present, the path of college students' innovation and entrepreneurship training is still not perfect, especially the understanding and mathematics of college students' innovation and entrepreneurship concepts. Therefore, it is urgent to guide college students to adhere to the ideal of innovation and entrepreneurship, cultivate the spirit of innovation and entrepreneurship, cultivate the morality of innovation and entrepreneurship, and improve the comprehensive ability of innovation and entrepreneurship of college students. The in-depth development of the Internet has made communication around the world convenient and fast, all kinds of information can be obtained on the network, and various industries have achieved rapid development, and the education industry naturally needs to keep up with the pace of the times to adapt to the new normal of development. The deep integration of college students' innovation and entrepreneurship teaching experience with "Internet +" technology has continuously improved the training and teaching quality of college students' innovation and entrepreneurship and allowed contemporary college students to develop excellent entrepreneurial spirit and innovative talents. Therefore, the training path of college students' innovation and entrepreneurship ability in this paper will be optimized according to Internet technology. It has been proved by practice that the innovative and entrepreneurial talent training path optimized by this paper can improve students' educational ability well and play a guiding role for students' innovation and entrepreneurship, thereby realizing the development of ideological and political education in colleges and universities. [ABSTRACT FROM AUTHOR]

With the rapid development of multimedia and Internet technology, English news text summary technology has received widespread attention as a way to quickly obtain English news text content. The existing method of English news text summarization based on graph model usually takes English news text as the vertices of the graph, and the relationship between the two vertices is represented by the edge. Although it has achieved good results, it cannot quickly sort out the English Complex relationships between news texts. In order to solve this problem, this paper uses the hypergraph model to model the relationship between English news text, and conducts in-depth research on the application of the hypergraph model in the field of English news text summarization. The high popularity of the Internet has brought about earth-shaking changes to the news industry, which makes the news on the Internet a great way for netizens to get news. However, the public cannot pick out satisfactory events from a large amount of news. In order to solve this problem, news event discovery technology that can help users quickly discover and understand hot news is produced. In addition, user personalized recommendation technology will rely on customer operation habits to provide customers with hot events of interest. The personalized news recommendation method adopted in this article has the advantages of integrating discovery and personalized news recommendation, and provides users with a better experience. Compared with the traditional hierarchical clustering algorithm, the algorithm proposed in this paper significantly improves the accuracy. [ABSTRACT FROM AUTHOR]

The development of industrial Internet platform is an important carrier to realize the innovation of Industry 4.0. This paper analyzes the development mechanism of Chinese industrial Internet platforms from three aspects of motivation, incentives, and constraints, summarizes the influencing factors of platform development, and establishes a growth model of industrial Internet platform, to select representative factual data as observation variables to verify the effect of each factor. In the end, this paper puts forward relevant suggestions for the government, platform companies, and other related parties to drive the realization of Industry 4.0. [ABSTRACT FROM AUTHOR]

The benefits of Internet finance, such as its speed, transparency, and efficiency, have caused conventional financial institutions to rethink their business models and have led to its tremendous growth in recent years. However, as Internet finance continues to grow, new possibilities and threats are continuously developing. One of the most pressing concerns in the use of Internet technology for financial growth is how to properly identify and evaluate risks involved for Internet finance, as well as how to accurately anticipate such risks. Internet finance risk elements are examined thoroughly in this research, and a feasible solution to reduce Internet financial hazards is proposed. This paper completes the following work: (1) according to the collected sample data, the BP network is used as a big data mining analysis method to establish a financial risk assessment model. (2) The data is processed accordingly, and then based on the MATLAB program platform, the BP network numerical calculation is built to train the theoretical model, and the actual output and predicted output are obtained. (3) With the analysis results of data mining, this work has established a risk prevention and control supervision system. (4) This work has carried out various experiments on the designed method, and the results have verified the superiority of the method. [ABSTRACT FROM AUTHOR]

The world's population is growing rapidly, and population management processes have become much more complex. The world's population lives mainly in cities, and naturally, the governance processes in cities are increasing. For efficient process management, researchers are now proposing smart city concepts. According to this concept, research work is being carried out in several directions. One of these areas is an intelligent transport system. This research paper discusses the scientific work performed in intelligent transport systems, including concepts, capabilities, Internet of Things of vehicles, organization of information, and communication processes. The operating frequency ranges, network parameters, and applications are considered. The final part of the paper presents a proposal for creating an intelligent parking system and outlines some promising work that can be done in this area. This paper is intended for researchers who plan to explore important aspects of intelligent transportation systems and help them in their future endeavors. [ABSTRACT FROM AUTHOR]

Many methods are available for objectionable text filtering, such as URL-based filtering, keyword-based filtering, and intelligence-based analysis filtering approaches. URL-based filtering cannot filter the contents of objectionable short text. Keyword-based filtering faces the overblocking issue. Intelligence-based analysis filtering is inefficient and ineffective when filtering objectionable short text. In this paper, a biterm topic modelling- (BTM-) based adaptive objectionable short text filtering framework is proposed. We propose a feature extraction algorithm for objectionable short text and establish a sensitive word feature dataset using the descriptions of applications on the Internet. Then, we construct a judgment standard to automatically select the K value of the BTM topic model that can induce self-adaptation. The feature dataset constructed in this paper can effectively reflect the characteristics of objectionable short text. The proposed filtering framework can effectively identify objectionable short text and has a higher filtering rate than other approaches. [ABSTRACT FROM AUTHOR]

The traditional social work services are mainly visits which have some problems such as inconvenient information circulation, unreasonable resource allocation, and low service efficiency. To improve these problems, Internet plus is used to reform social work services and form an Internet plus social work service mode. Although this model has a very good improvement effect on social work service, with the rapid increase of the number of social work services and the rapid growth of the number of volunteers, this model has limitations in the arrangement of social work services and volunteer management. Therefore, based on this model, with the help of machine learning, the Internet plus social work service mode can be deepened by using machine learning to manage social services and volunteers. Internet plus social work service is the main problem in this paper. The Internet plus social work service mode is formed. Then, the deepening role of machine learning in Internet + social work service is discussed, and some problems in Internet plus social work service mode are improved. Internet plus social work service mode can better improve the problems in traditional social work service. The paper also uses machine learning to further optimize the mode of Internet plus social work service, which has a good application in social work service prospects. [ABSTRACT FROM AUTHOR]

As a type of energy network, the scale of the power network is constantly expanding, and its structure has become more and more complicated. Correspondingly, the risks to the energy network are even less likely to be discovered, which will undoubtedly cause great troubles for the safe operation of the network. The traditional manual inspection method can no longer meet the requirements of huge and complex energy networks. Therefore, this paper proposes the algorithm, a research on the automatic identification of reliability of information architecture based on the topology of the energy Internet network. Abstract the server, storage, and other devices in the Energy Internet as network nodes, divide them according to service modules, and use Bayes estimation to evaluate and judge the impact of these nodes on the system function, so as to find the nodes with hidden risks. The results show that, compared with the traditional manual inspection method, the method proposed in this paper can efficiently and accurately find the nodes with risks and can help optimize the topology of the energy Internet network. [ABSTRACT FROM AUTHOR]

Recently, artificial intelligence (AI) technology has great attention in transportation systems, which led to the emergence of a new concept known as Internet of Vehicles (IoV). The IoV has been associated with the IoT revolution and has become an active field of research due to the great need, in addition to the increase in the various applications of vehicle communication. AI provides unique solutions to enhance the quality of services (QoS) and performance of IoV systems as well. In this paper, some concepts related to deep learning networks will be discussed as one of the uses of machine learning in IoV systems, in addition to studying the effect of neural networks (NNs) and their types, as well as deep learning mechanisms that help in processing large amounts of unclassified data. Moreover, this paper briefly discusses the classification and clustering approaches in predicative analysis and reviews their abilities to enhance the performance of IoV application systems. [ABSTRACT FROM AUTHOR]

How to effectively regulate the spread of Internet public opinion from multisubject is the focus that governments around the world need to face. From the cross perspective of multilayer network and multisubject association, this paper studies the diffusion mechanism of Internet public opinion, constructs the multilayer network of Internet public opinion and its diffusion model, and then systematically analyzes the evolution characteristics of Internet public opinion diffusion. The main conclusions of the study are as follows: it is easier to trigger the spread of Internet public opinion by establishing associations among netizens in a preferred way. When the probability of random connection in different layers increases synchronously, the diffusion intensity of Internet public opinion shows a gradual downward trend. The intensity of government intervention has the greatest impact on the diffusion intensity of Internet public opinion. When the factors of netizens, Internet platform, and government interact, it can effectively reduce the intensity and scope of Internet public opinion diffusion. Once the media participate, it will improve the complexity of Internet public opinion diffusion. The government's intervention in Internet public opinion is a "double-edged sword," which needs to set the intervention intensity according to different subjects and their factor characteristics. This study can provide a theoretical reference for formulating strategies to adjust Internet public opinion diffusion from the cross perspective of multilayer network and multisubject association. [ABSTRACT FROM AUTHOR]

In the Internet environment, college innovation and entrepreneurship will face more opportunities and challenges. "Internet +" simply means "Internet + traditional industries." With the development of science and technology, the use of information and Internet platforms enables the integration of the Internet and traditional industries and uses the advantages and characteristics of the Internet to create new development opportunities. University learners are one of the most important contact groups on the Internet. They are generally familiar with the Internet and are good at using Internet channels and Internet thinking to solve problems. Therefore, they are able to grasp opportunities and achieve breakthroughs. Innovation and entrepreneurship education is aimed at cultivating talents with basic entrepreneurial qualities and pioneering personality, and it is an education to cultivate innovative thinking and entrepreneurial ability for the whole society in stages and at different levels. How to effectively use the dividends of Internet entrepreneurship to realize their own transformation and growth is a topic worth studying. Therefore, this paper takes the life cycle of "Internet +" college students' innovation and entrepreneurship competition as an example, summarizes the achievements and problems of a university in holding the competition, and puts forward countermeasures and suggestions for optimizing and organizing the competition on this basis. Experiments show that the quality of the competition itself, the relevant rules of the competition, the impact of the external environment, and home-school cooperation will have a greater impact on students' innovation and entrepreneurship performance. [ABSTRACT FROM AUTHOR]

It is an unavoidable requirement of higher education to thoroughly refine the scientific concept of development and explore the innovative and entrepreneurial education of college students. Wide and effective creative and business literacy training for college students is an important means to reduce the fierce competition for jobs and an effective way to further build an innovative country. The purpose of this paper is to conduct an in-depth study on effective strategies to optimize creative and business literacy training for college students in the context of Internet+. This paper examines how to optimize college students' creative and business literacy training in the context of Internet+, explains the related concepts and development status of college students' creative and business literacy training, and discusses the value and practical significance of college students' creative and business literacy training as well as the current innovation of college students in China. Opportunities, challenges, and problems are encountered in entrepreneurship. Survey experiments were conducted. The results show that more than 83.6% of graduates have some idea about creative and business literacy training, but the satisfaction of college students with the current creative and business literacy training is only 58.2%. Finally, this article suggests five points for optimizing college students. [ABSTRACT FROM AUTHOR]

Self‐neglect and hoarding are behaviours that are hard to define, measure and address. They are more prevalent among older people because of bio‐psycho‐social factors, which may be exacerbated by advancing age. This paper aims to further understandings of self‐neglect and hoarding in England's Care Act 2014 context, drawing on a study involving qualitative interviews with local authority adult safeguarding managers who play an important role in determining interventions with individuals who self‐neglect and/or hoard. Online interviews were conducted with adult safeguarding leads and managers from 31 English local authorities in 2021. Interview data were subject to thematic analysis. This paper explores the commonalities and differences in adult safeguarding managers' understandings of the causes and consequences of self‐neglect and/or hoarding among older people, which are likely to have tangible impacts on service provision in their local authority, and influencing of wider changes to policies and procedures. Most participants understood these phenomena as caused by a range of bio‐psycho‐social factors, including chronic physical conditions, bereavement, isolation. A minority took a more clinical or psycho‐medical perspective, focusing on mental ill‐health, or referred to the social construction of norms of cleanliness and tidiness. Whatever their understanding, by the time such behaviours are brought to the attention of safeguarding professionals a crisis response may be all that is offered. The implications of the findings are that other agencies should be encouraged to provide more early help to older people at risk of self‐neglect and/or of developing harmful hoarding behaviours, and that sustained engagement with those affected may help to understand some of the causes of these behaviours to enable effective support or practice interventions. [ABSTRACT FROM AUTHOR]

In the era of the Internet of Things (IoT) and the Industrial Internet of Things (IIoT), elements along the supply chain can be connected to one another to offer tracking capabilities. The information obtained from an always connected and working supply chain is then incorporated into the simulations of the virtual world (digital twin). This allows for an instantaneous simulation of the environment at any point in time and better, more optimized, and quicker decisions are made based on the results. This translates into more performance and a stronger competitive advantage. This paper will examine the main concepts surrounding the supply chain from the perspective of digitalization. In this paper, we will take a closer look at the main concepts related to the supply chain in light of digitalization. [ABSTRACT FROM AUTHOR]

In this paper, in-depth research and analysis of juvenile delinquency prevention and occupational therapy education guidance using artificial intelligence are conducted, and its response mechanism is designed in this way. Two crime type prediction algorithms based on time-crime type count vectorization and dense neural network and crime type prediction based on the fusion of dense neural network and long- and short-term memory neural network are proposed. The outputs of both are fed into a new neural network for training to achieve the fusion of the two neural networks. Among them, the use of the dense neural network can effectively fit the relationship between the constructed features and crime types. The behavioral manifestations and causes of the formation of deviant behavior in adolescents are discussed. They can only read numerical data, but there is a lot of information in the textual data that is closely related to the training effect. When experimenting, it is necessary to extract knowledge and build applications. The practical work with adolescents with deviant behaviors is again carried out from group work and casework, respectively, with problem diagnosis, needs assessment, and service plan development for specific clients, to carry out relevant practical service work. The causes of juvenile delinquency in the Internet culture are discussed in terms of the Internet environment, juvenile use of the Internet, Internet supervision, and crime prevention education, respectively. The fourth chapter focuses on the analysis of the prevention and control measures for juvenile delinquency in cyberculture. In response to the above-mentioned causes of juvenile delinquency in cyberculture, the prevention and control measures are discussed in four aspects, namely, strengthening the construction of cyberculture and building a healthy cyber environment, strengthening the capacity building of guiding juveniles to use cyber correctly, building a prevention and supervision system to promote the improvement of the legal system, and improving and innovating the crime prevention education in the cyber era. [ABSTRACT FROM AUTHOR]

Energy Internet (EI) can provide consumers with flexible energy-sharing services. Recently, artificial intelligence (AI) technology has been widely used in the field of EI. Generative adversarial network (GAN) is one of the hottest research directions in the field of AI in recent years, and its excellent data generation ability has attracted wide attention. First, this paper introduces the framework, advantages, disadvantages, and improvement of classic GAN. Then, the application of GAN in the field of EI is reviewed. Finally, the paper is summarized, and the possible application of GAN in EI is prospected. [ABSTRACT FROM AUTHOR]

Because e-commerce is based on the Internet, it has the advantages of fast response speed and strong promotion ability, which potentially mitigates the problems of low popularity and unreasonable industrial structure in the development of rural industries. This paper integrates Internet technology, studies in detail the functional process of rural industries integrating the Internet, and establishes the corresponding platform. Then, it analyzes the problems of rural industrial integration of the Internet to achieve rural revitalization and applies this rural industrial integration of the Internet revitalization platform to the rural development of different cities. By studying the difficulties in rural industry among cities, this paper compares and analyzes the optimization measures of this path and puts forward the corresponding solutions. In short, this paper integrates rural industry with Internet technology, which greatly improves the popularity of rural industry, optimizes the rural industrial structure, and provides ideas and experimental support for the realization of rural revitalization. [ABSTRACT FROM AUTHOR]

This paper focuses on the problem of protocol identification in the industrial internet and proposes an unknown protocol identification method. We first establish an industrial internet protocol detection model to classify known protocols, unknown protocols, and interference signals and then store the unknown protocols for manual analysis. Based on the Eps-neighborhood idea, we further develop an Eps-neighborhood hit algorithm and propose an identification method to identify unknown protocols, where the supervised learning classification of unknown protocol detection is realized. Finally, extensive experimental results are provided to illustrate our theoretical findings. It indicates that the proposed method has an average screening accuracy of 94.675% and 95.159% for unknown protocols encoded in binary and ASCII, respectively, while the average screening accuracy of known protocols in binary and ASCII encoding is 94.242% and 94.075%. [ABSTRACT FROM AUTHOR]

With the rapid development of Internet technology, the dissemination of information is undergoing rapid changes. The Internet has become an indispensable part of people's study, work, and life. In the context of the Internet, this paper analyzes the application of multimedia elements in visual communication art design, elaborates the basic concepts, visual features, and design principles of the visual communication art design, and analyzes the multifaceted aspects of multimedia elements. This paper discusses the basic methods and general rules of the application of multimedia elements in visual communication art design under the background of the Internet, as well as the research on the emotional factors and interactions of multimedia elements on people. Brain-like computing is the meaning of imitation brain. First is the structure, then the function, then from the structure design and analysis of the brain, and finally use the brain's thinking ability to solve problems. It summarizes the text, graphic images, and colors in the Internet background. The innovative application of multimedia elements such as page layout and animation in visual communication art design explains the influence of multimedia elements on the overall visual effect in visual communication art design. It explores how visual information can be conveyed more reasonably and effectively. In the context of the Internet, the application of multimedia elements has brought a new possibility for developing visual communication art design, providing a new platform for the traditional visual communication art design. [ABSTRACT FROM AUTHOR]

The scale and competitiveness of foreign trade are not only an important reflection of a country's economic strength, status, and influence in the international economy, but also a basic indicator to measure a trading power. At the moment, information technology, embodied by the Internet, is steadily altering the old method of international trade. This research investigates the impact of the Internet on China's international trade, based on a comprehensive review of the relevant literature. This study firstly analyzes the mechanism of network's influence on international trade structure and focuses on the influence of network on trade participants and trade services. Then, based on the gravity model, the empirical process of network's influence on international trade structure is analyzed, and the empirical research is carried out through variable analysis, stationarity and cointegration test, and pulse corresponding analysis. This paper concludes that the development of the Internet has a certain role in encouraging service commerce in China, based on an empirical analysis of the relationship between the Internet and service trade in China. [ABSTRACT FROM AUTHOR]

Dangerous Internet use alludes to unreasonable utilization of the Internet that unfavorably influences individual emotional well-being, relational correspondence, social transformation, social turn of events, learning, and work. This paper aims to study how to analyze and study the psychological mechanism and exercise intervention of problematic Internet use based on the Internet of Things technology, and describe it. It addresses the question of problematic web usage, and this question is based on IoT technology. This paper then elaborates on the concept of data mining and related algorithms. It designs and analyzes the psychological mechanism and exercise intervention of college students' problematic Internet use. The experimental results showed that in the incidence of Internet addiction, gender, grade, family economic environment, and single-parent family will be affected. Moderate-intensity (50%–80% VO2 max) aerobic and anaerobic exercise for more than 30 minutes per year has a positive effect on college students' Internet addiction. [ABSTRACT FROM AUTHOR]

In order to promote the circulation of Internet entrepreneurial information, based on information theory and general security theory, this paper explains how to construct the attack channel and defense channel of the k-anonymity model, so as to provide a reliable network foundation for the transmission of related information. In order to fully solve the problems existing in multiuser requests, this paper proposes two modules, single-request sharing mode and multirequest sharing mode, to process query requests in the request queue to maximize the reuse of request results. Moreover, the model constructed in this paper needs to be processed through deep learning first and then shared through the intelligent model. Therefore, the data learning and data sharing of the model are mainly analyzed during model validation. The experimental simulation results show that the intelligent sharing model of Internet entrepreneurial information resources based on deep learning proposed in this paper has good data learning and data transmission effects. [ABSTRACT FROM AUTHOR]

To explore the effects of social support on the mental health of older adults in different age groups in China, and to provide reference for the development of social support policies to promote the mental health of older adults in China. This paper uses a random sampling method to conduct a questionnaire survey of 3,000 older adults aged 60 years or older in Nanjing and a dichotomous logistic regression model for empirical analysis. The two dimensions of mental health and social adjustment were used to measure the mental health status of the elderly. The results showed that the overall mental health status of the elderly in Nanjing city was more optimistic, and the nonempty nesters with male gender, higher education level, and partners were generally healthier; objective and subjective support had significant positive effects on the mental health of middle and high aged elderly, while the utilization of support had more significant effects on the health of low-aged elderly. This paper proposes that government departments should develop a localized elderly support system and social support policies adapted to the actual situation in Nanjing according to the quantitative distribution and demand characteristics of the mental health of elderly people in different age groups. The study is structured as follows: the second part contains data sources and statistical methods. The third part is the analysis of empirical results. The fourth part is the discussion and conclusion part of the article. [ABSTRACT FROM AUTHOR]

The accelerated evolution in computing and transmission automation of the Internet of Vehicles (IoV) has led to enormous research standards that attract many researchers and industries. This century of the Internet of Things (IoT) is propulsive to the routine vehicular ad hoc networks (VANETs) in the IoV. It has emerged as one of the major driving forces for innovations in the intelligent vehicular industry. The World Health Organization (WHO) report confirms that approximately 1.35 million people die because of accidents on the road every year. This requires considerable attention to incorporate more and more safety measures into the automobile industry. Intelligent transportation systems can help bridge the gap between the traditional and the intelligent automotive industry by connecting vehicle to vehicle (V2V) and vehicle to infrastructure (V2I), hence adding much safety in vehicular communication. This paper provides a comprehensive review of the Internet of Vehicles (IoV) which discusses the architectures of IoV including layer types, functions of layers, application area, and communication type supported. Further, it also provides an in-depth insight into state-of-the-art Medium Access Control (MAC) protocols and routing protocols used in IoV communication. The routing protocol comparative summarization considers important parameters which include communication types broadcast, unicast, cluster, multicast, forwarding strategy, recovery strategy, availability of map, and the type of environment urban or highway. The summarization of various protocols highlights strengths, research gaps, and application areas. Finally, the paper addresses various research challenges along with potential future enhancements for the IoV communication. [ABSTRACT FROM AUTHOR]

With the development of the economy and people's longing for a better living environment, the smart and environmentally friendly ecological environment has entered a period of intensive research. However, the current ecological environment resources cannot be used reasonably, and word of mouth and tourism economy are showing negative growth. In order to be able to conduct an in-depth study of the ecological environment, based on "Internet +" and perceived value, this paper builds a comprehensive evaluation model of a smart and environmentally friendly ecological environment based on a multiple perception system. This article establishes an evaluation index system that combines two systems of multiple perception systems and ecological environment, six secondary indicators, and 22 three-level indicators. In this paper, the comprehensive evaluation value of the smart environmental protection ecological environment is 0.78595, and the level of the multi-perception system is good. At the same time, the corresponding evaluation values of visual perception, functional service perception, and cultural and activity perception are 0.75431, 0.70196, and 0.78846, respectively. The comprehensive evaluation value of the ecological environment is 0.65734, and the level of ecological environment development is average. The corresponding evaluation values of the subsystem environmental quality level, environmental pressure level, and environmental improvement level are 0.69943, 0.63491, and 0.60279, respectively. The coordination value of the multi-perception system and the ecological environment is 0.9978, which is an ultra-high-level coordination stage. The comprehensive evaluation value of the two is 0.8659. At this stage, the degree of interaction between the two is strong and affects their development. [ABSTRACT FROM AUTHOR]

The contradiction between limited network resources and a large number of user demands in vehicle environment will cause a lot of system delay and energy consumption. To solve the problem, this paper proposes an efficient resource management optimization scheme for Internet of Vehicles in edge computing environment. Firstly, we give a detailed formulation description of communication and computing cost incurred in the resource optimization process. Then, the optimization objective of this paper is clarified by considering the constraints of computing resources, and system delay and energy consumption are considered comprehensively. Secondly, considering dynamic, random, and time-varying characteristics of vehicle network, the optimal resource management scheme of Internet of Vehicles is given by using distributed reinforcement learning algorithm to optimize total system overhead to the greatest extent. Finally, experiments show that when bandwidth = 40 MHz, the total system cost of the proposed algorithm is only 3.502, while that of comparison algorithms is 4.732 and 4.251, respectively. It is proved that the proposed method can effectively reduce the total system overhead. [ABSTRACT FROM AUTHOR]

In order to accurately predict the development trend of the "Internet +" logistics industry in the context of the new period and to understand the circulation of the Internet and logistics between countries and the development dynamics of the economy, this paper will take the "Belt and Road" initiative as the research background and elaborate the specific development mode of the "Internet +" logistics industry and the corresponding strategies. Meanwhile, the development trend is evaluated based on its development data using the method of combined forecasting. The results show that the combined prediction results fluctuate within the range of 1, indicating a high degree of prediction accuracy. This is important for predicting the trend of development forces and adjusting the strategic approach and development direction. [ABSTRACT FROM AUTHOR]

The wide range of social hot news events on the Internet has made the Internet have a great impact on the public. However, there are few studies on Internet information. In order to improve the efficiency of user network information dissemination of Internet information based on complex network theory and model simulation, this paper makes a more in-depth study on information dissemination on the Internet, constructs a complex network of Internet information dissemination, and analyzes the static topology and dynamic evolution process of the network. Using the attention relationship between Internet users, the Internet information dissemination network, degree, and path were used to select multiple indicators. The static topology of the network is analyzed by using the complex network theory. The study found that the complex network of Internet information is different from other complex networks. The influencing factors of network dynamic evolution are studied from three aspects: overall structure, local structure, and time constraints. The evolution trend of different forms and overall network nodes in the evolution process was explored, and the network dynamic evolution process model was constructed. Practice shows that the model can better describe the evolution process of network information dissemination in complex networks. The degree values of the two networks are positively correlated with the corresponding average clustering coefficients, and the networks have a significant hierarchy. The correlation between news hot events and network nodes is not as good as users' attention to the network. [ABSTRACT FROM AUTHOR]

Based on the data of Chinese industrial enterprises from 2004 to 2009, a fixed-effect model is adopted in this paper to analyze the effect and the mechanism of the enterprises using the Internet on tax avoidance. The result shows that using the Internet will produce the peer effect, which enables enterprises to learn tax avoidance strategies on the Internet and makes the degree of tax avoidance between enterprises and other enterprises in the same industry converge. At the same time, using the Internet has a network effect, and the more the enterprises access the Internet, the higher the degree of tax avoidance for enterprises is. In addition, the effect of the Internet on tax avoidance is influenced by the intensity of tax collection and the nature of enterprises. With a further examination, it has been found that enterprises not only acquire the two tax avoidance strategies of underreporting profits and underpaying taxes through the Internet but also master the planning strategy. [ABSTRACT FROM AUTHOR]

In order to improve the effect of college music teaching, this paper combines Internet multimedia technology to construct a college music intelligent teaching system and uses the DASH multihypothesis framework to improve the transmission effect of Internet multimedia. Moreover, this paper manages the teaching resources generated in the process of music teaching and collects these resources into the library. The dynamic addition and editing of classifications are realized in the background, which is convenient for easy expansion and flexible adjustment of classifications. In addition, this paper combines the actual needs of music teaching in colleges and universities to construct the system function and get the system frame structure and work flow. Finally, this paper verifies the system of this paper in conjunction with experiments. The analysis shows that Internet multimedia technology has good effects in college music education, can effectively handle various resources of college music teaching, and can effectively improve the efficiency of college music education. [ABSTRACT FROM AUTHOR]