Computer Network Security Defense Model

With the rapid development of the Internet industry, hundreds of millions of online resources are also booming. In the information space with huge and complex resources, it is necessary to quickly help users find the resources they are interested in and save users time. At this stage, the content industry’s application of the recommendation model in the content distribution process has become the mainstream. The content recommendation model provides users with a highly efficient and highly satisfying reading experience, and solves the problem of information redundancy to a certain extent. Knowledge tag personalized dynamic recommendation technology is currently widely used in the field of e-commerce. The purpose of this article is to study the optimization of the knowledge tag personalized dynamic recommendation system based on artificial intelligence algorithms. This article first proposes a hybrid recommendation algorithm based on the comparison between content-based filtering and collaborative filtering algorithms. It mainly introduces user browsing behavior analysis and design, KNN-based item similarity algorithm design, and hybrid recommendation algorithm implementation. Finally, through algorithm simulation experiments, the effectiveness of the algorithm in this paper is verified, and the accuracy of the recommendation has been improved.

Colonialism, capital, and ressentiment

Vogl’s new book relates finance to the internet industry and economics to politics. Introducing questions of colonial history and racism would further sharpen his view of the drivers and dynamics of contemporary capitalism.

The Effect of New Media on Cross-Cultural Communication Under the Background of “Internet+”

The rapid development of economy in China has brought development opportunities to the internet industry. With the continuous advancement of information technology, new media has also emerged, offering more convenient and efficient ways to the dissemination and exchange of information. At the same time, the spread of new media has become more diversified, being more in line with the current needs of people for browsing information. The cultural exchanges among various ethnic groups in China and even between countries around the world are constantly expanding. Facing the differences in culture, it is necessary to have proper guidance in order to reduce conflicts among different cultures. This article examines the cross-cultural communication effect of new media based on “Internet +” and provides references for cross-cultural communication.

Real-time detection of aerobics posture based on strain sensor

The Internet of Things is a network that realizes the intelligent connection between things. It is another major industry after the computer industry and the Internet industry. It is also a collection of computer technology, communication technology, sensor technology, storage technology, and many other leading technologies in an integrated industry, the application industry is very wide. This article mainly introduces the real-time detection of aerobics posture based on strain sensors. This paper proposes a real-time detection method of motion posture based on strain sensors, using flexible rods to simulate the joints of aerobics athletes. Through the survey of the motion posture by the strain sensor, the relevant data and parameters are collected, and then the data are processed, and the data are finally transmitted to the terminal. Since the stress of a specific point on the surface of the flexible rod is proportional to the curve of that point, strain gauges can be used to detect curve changes at multiple points in real time and draw the change curve on the computer. The experimental structure of this paper shows that the use of BP neural network to process the measurement data improves the accuracy of real-time detection. The error distance between the sampling point and the actual value is less than 0.3 cm. In addition, through the real-time detection of the motion posture, it can be concluded that good Body posture is the basic requirement of aerobics, and it is of great significance to improve the effect of improving the quality of movement and artistic expression.

Unpacking Leadership Style Values on Motivating New Generation Employees’ Prosocial Organizational Behaviors

Based on current data derived from the International Labour Organization, in 2018, there was a significant rise of Chinese female entrepreneurs in workplaces. One industry that has been viewed the most significantly rise in female leadership is Internet industry, as Chinese women now account for 55% of entrepreneurs within new economy companies. Existing researches distinguished leadership styles into two types based on gender differences. More specifically, men are generally viewed to lead with Task-oriented styles while women have been shown to lead with Interpersonal-oriented styles. However, no studies have directly examined which leadership style can be the most effective when directing GenZ employees in China in terms of prosocial organizational behaviors. In this paper, the author profoundly extends the leadership style values and latent women leadership superiority on motivating prosocial organizational behaviors of Genz employees. Extracting from shared points of leadership styles based on gender types, the author generated 3 hypotheses: Compared with Task-orientated leadership style, interpersonal leadership style is more accepted by Genz employees compared to Millennial (Hypothesis1) and Women prosocial leadership are more acceptable by female GenZ employees (Hypothesis2). Notably, GenZ employees’ prosocial organizational behaviors are motivated when collaborated with most felicitous leaders (Hypothesis3). A sample of 500 applicants in a top internet company were expected to accomplish this research. Consequences provided sufficient evidences for hypothesis 2 through both quantitative and qualitative statistics as well as hypothesis 3. Nevertheless, Hypothesis 1 have not been proved in an accurate manner that generational differences in employees have paltry ramifications of leadership styles preferences. As a matter of fact, both leadership styles are popular among Millennial and Genz employees.

The Application Status and Development Prospects of Artificial Intelligence and Industrial Robots in the Manufacturing Industry

China has achieved quite good results in the research and application of information technology and other fields. The continuous advancement of technologies such as AI, 5G communications, and cloud computing have played a key role in the development of intelligence, convenience, and innovation in various industries in China. The application of AI as a technical means in the Internet industry has been relatively mature and has achieved relatively good results. However, AI has not yet achieved satisfactory results in the development and upgrading of the manufacturing industry. As the most critical industry in the real economy, the manufacturing industry has played a decisive role in the sustainable development of China’s real economy. Therefore, it is necessary to promote the deep integration of AI technology and manufacturing and to further advance the process of intelligent manufacturing. Accordingly, this article discusses the application status and development prospects of AI and industrial robots in the manufacturing industry.

SENTIMENT ANALYSIS FOR SOCIAL MEDIA: A SURVEY

With the rapid development of the Internet industry, an increasing number of social media platforms have been developed. These social media platforms have become the main channels for communication among most users. Opinions from social media platforms provide the most updated and inclusive information. Sentiments from opinions are a valuable data source for solving many issues. Therefore, sentiment analysis has developed into one of the most popular natural language processing fields. Hence, improving the performance of sentiment analysis methods or discovering new problems related to these methods is essential. In this context, we must be aware of the general information relevant to this area. This survey presents a summary of the necessary stages for building a complete model to be used in sentiment analysis. For each procedure, we list the popular techniques that have been widely used in recent years. In addition, discussions and comparisons related to these methods are provided. Additionally, we discuss the challenges and possible research directions for future research in this field.

Analysis of Indihome Competitive Advantage Strategy PT Telkom Indonesia (Tbk) Witel Medan

Reflecting on the conditions with very tight business competition in the telecommunications and internet industry in Indonesia, this directly requires Telkom to implement an appropriate competitive strategy in managing its business. PT Telkom Indonesia has an internet service product that is Indihome. Indihome service products are considered not to pay attention to network quality, service quality and price, so research on Indihome competitive advantage strategy is needed. The purpose of this study was to analyze product quality, service quality and price on the competitive advantage of Indihome PT Telkom Indonesia Witel Medan. This type of research uses a descriptive verification method with a quantitative approach and uses 100 samples. This research uses qualitative and quantitative data types. The results of this study are product quality, service quality and price have a positive and significant effect on competitive advantage and the higher the product quality, service quality and price provided, the more competitive ad-vantage of IndiHome. Keywords: product quality, service quality, price and competitive advantage.

Regulating the Information Society

Ireland has become a global hub for personal information, with internet firms headquartered there holding information on billions of users. But has Ireland been a responsible regulator? This chapter examines the approach of the Irish state, tracing the evolution of data protection governance and its application to the internet industry. It outlines the legal and policy context, and argues that regulation has been hampered by a weak legislative framework and significant under-resourcing of the data protection supervisory authority. Using Facebook as a case study, it examines how this has prompted international pressure for stronger regulation and evaluates the Irish response. It concludes by arguing that Ireland has yet to properly engage with the wider issues presented by its new role as a key jurisdiction for the internet industry, with data protection being just one of many aspects that need more attention as Irish regulation increasingly has spillover effects elsewhere.