Generation Of Information Technology Research Articles

Research on Language Teaching Models under the Background of New Generation Information Technology

With the rapid development of the new generation of information technology, education has also ushered in the opportunity for change. In school language teaching, the application of new-generation information technology can provide students with more flexible and diverse learning methods, and promote the improvement of students' innovation and practical ability. At the same time, school language teaching, as an important part of basic education, also needs to constantly explore new teaching methods and technologies to further realize scientization in order to improve teaching effectiveness and quality. In this paper, we will discuss the research on the application of new generation information technology in school language teaching from the needs of school language teaching, respectively, from the learning content, teaching methods, evaluation methods and other aspects,And we have a further deep understanding of the diversity, science, fun and interactivity brought by the new generation of information technology in the field of teaching and learning.

Cybersecurity Knowledge Deterioration and the role of Gamification Intervention

Cybersecurity is becoming an overly critical issue in contemporary times. Cyberspace safety is declining, and this covers all categories of persons, businesses, institutions, and even the government. Deterioration in cybersecurity knowledge and awareness has led people to become easy prey/victims of cybercrime. The more novel security systems are being developed, the higher the cyberattacks as hackers, scammers, and cybercriminals are innovative in their techniques to attack cyber-users. It is therefore paramount to investigate the stance of cybersecurity knowledge among the general IT (Information Technology) users, especially in the 21st century. This paper designed a cybersecurity quiz based on adaptations from literature and past cybersecurity quizzes and conducted investigations to test the knowledge of random cyber-users via the cybersecurity quiz. Results from investigations are quite surprising and instructive, thus serving as a propelling motivation to develop a cybersecurity game. Among the 10-questionnaire cybersecurity quiz, it was discovered that most cyber-users lack knowledge about network security. Also, the question on social engineering was not well performed by the respondents. Thus, it is important for upcoming innovations to take into consideration the aspects of network security, social engineering when designing cybersecurity gamification approaches. Gamification has been used as teaching aids for diverse learning fields, however the use of games in cybersecurity is still understudied. Thus, the result of this quiz is intended to be used to further boost the development of a cybersecurity game, which can be age centric, thus developing cybersecurity games that will be suitable for specific user groups. Interestingly, though females were not regular game players, however they were highly interested in playing a cybersecurity game, as majority of cyber-users (males inclusive), believed that a cybersecurity knowledge gamification approach can help enhance their cybersecurity knowledge and awareness. Conclusively, it is obvious that both the young and old still lack basic cybersecurity knowledge, thereby making them easy prey for cyberattacks. Gamification if applied properly into cybersecurity, could be an interactive learning platform that is both enjoyable, produces a high spirit of learning as well as help serve as a strong awareness tool that can boost cybersecurity user’s knowledge.

The inventory bullwhip effect in the online retail supply chain considering the price discount based on different forecasting methods

With the improvement of the new generation information technology, and the development of online economy, the customer behavior has gradually changed. The online economy has gradually become a new economic growth point. Many online platforms attract customers to purchase new products through different kinds of price discounts. In this article, we discuss the inventory bullwhip effect (IBE) in an online retail supply chain (ORSC) considering the price discount based on the different forecasting methods. Moreover, we discuss the influence of them on the IBE. When the price discount, the moving average forecasting method (MA), the exponential smoothing forecasting method (ES), and the minimum mean squared error forecasting method (MMSE) are considered, we consider an ORSC including of a manufacturer and an online platform, and the quantitative models of the BE and the IBE are discussed. This article finds that when the price sensitivity coefficient is very low, the online platform’s IBE is the lowest when the online platform adopts the MMSE method. Moreover, when the price discount gradually increases, the IBE of the online platform is also increasing. Moreover, it is gradually increasing when the expectation price difference coefficient becomes gradually increasing.

The mitigating effect of new digital technology on carbon emissions: evidence from China.

This paper investigates the impacts of new digital technology on carbon emissions in China. To better capture the feature of new digital technology, we distinctively measure it using the invention patent stock of new generation information technology industry. The empirical results show that the development of new digital technology significantly reduces carbon dioxide (CO2) intensity. The results are still robust after addressing the endogeneity issues using instrumental variable regressions. The carbon reduction mechanisms of new digital technology include reducing energy intensity, optimizing energy structure, and advancing treatment technology. We further confirm the spatial spillover and nonlinear effects of new digital technology on CO2 intensity and the moderating effect of urban digitalization in carbon reduction. The study suggests that the potential of new digital technology in reducing carbon emissions should be highly attentioned by governments.

Free trial or no free trial: Optimal policy of electronic products with positive and negative network effects

The rapid development and widespread application of the new generation information technology has not only promoted innovation in traditional business models, but also has even created new business models and new industries. The free trial, as one of the new business models, has been utilized by major enterprises to advertise and promote their products in the expectation of receiving more attention from consumers, increasing the potential value of products. However, the accompanying problem of setting the number of lucky customers and free trial operation scheme properly should be handled urgently. In reality, the purchasing decision of the consumer is influenced by a variety of factors, such as reviews, trial campaigns. Meanwhile, consumers have positive and negative perceptions of products and activities, which could be transmitted to surrounding consumers. Consequently, this paper discusses the problem of the free trial policy for the electronic product by considering the positive and negative network effects. It is attempted to be solved both theoretically and empirically. The consumer network utility, demand and product profit models are proposed to solve the problem, which produces empirically testable hypotheses and Management propositions. Then, these hypotheses are tested and these management propositions are validated by utilizing real operational data from Lenovo Mall. The test and validation results indicate that there is a significant increase in the price and demand for products after the merchant taking the free trial. Moreover, although the operating costs of the merchant are increased, a much larger boost is provided by the free trial to the merchant in total profit. It is worthwhile considering the accuracy in identifying the valuable consumer, which the success of the free trial depends on.

Research on the Current Situation and Existing Problems of the Implementation of Digitalization Policy in the Cultural Industries in Anhui Province

Culture is the soul of a country, as well as the soul of its national governance. Cultural industry policy is a specific rule and measure formulated by the state or region to indirectly manage the cultural industry, which plays a strategic guiding role in the development of cultural industry. With the maturity and popularization of new generation information technologies such as big data analysis, cloud computing, virtual reality, Internet of Things, artificial intelligence, and blockchain, etc., the integration of cultural and creative industries and digital technologies has gradually formed the infrastructure of digital creative industries, which has effectively promoted the digitalization of contents, channels, and users in cultural industries. The implementation of digitalization strategies in the cultural industry conforms to the development trend of cultural industry empowered by digital technologies, which will certainly propel the development of new formats of cultural, extend the industrial chain, and boost the quality, efficiency, and core competitiveness of traditional cultural formats in Anhui Province.

Empirical insights into industrial policy's influence on phytoprotection innovation.

Intelligent Phytoprotection is an important direction for the modern development of plant protection related disciplines, and its essence is the innovative application of new generation information technology industry, high-end equipment manufacturing industry, and digital industry related technologies in the traditional plant protection field. This article first identifies 224 International Patent Classification (IPC) Main groups in the field of intelligent phytoprotection technology based on the International Patent Classification System. And then combines with China's industrial policy practice, we explore the impact of industrial policy on the application number of invention patents in the field of intelligent phytoprotection technology using the Difference-in-difference (DID) method and the Synthetic DID method. The study results showed that the implementation of industrial policy can significantly promote the patent application activities in the intelligent phytoprotection treatment group, with an average increase of 517 invention patent applications compared to the control group that is not affected by the policy. The research conclusion of this article suggests that for countries and regions, industrial policies are an important tool for promoting the innovation and development of intelligent phytoprotection related technologies.

A data and knowledge-jointly driven multimodal intelligent system for enterprise culture assessment

Based on the rapid development of Internet new generation information technology, campus culture has become an important force to promote educational innovation. However, the uneven quality of campus culture teaching is also increasingly exposed. Therefore, we propose a set of campus culture intelligent quality assessment feedback system driven by data and knowledge. Based on real multi-modal campus culture data, the evaluation system covers different online teaching forms, and can comprehensively consider and measure the core elements of quality evaluation from the perspective of teachers and students, so as to achieve accurate evaluation and feedback of campus culture. This paper proposes to combine emotion computing with big data analysis, construct a theoretical framework of multi-modal emotion analysis from the perspective of multi-spatial fusion, and explore the students' learning emotion recognition and intelligent assessment based on multi-modal data fusion. By studying the key issues, logical path and implementation path of multimodal learning emotion analysis in campus culture, this paper reveals the mechanism of student emotion development from the perspective of campus culture, expands the intervention practice of student group emotion, and provides technical support and action guidance for after-school teaching and research on campus culture.

Intervention of innovative education in ideological and political education in colleges and universities on anxiety symptoms of college students with mental disorders

BackgroundWith the increase in social pressure, the anxiety symptoms of college students with mental disorders are increasing year by year. This has harmed their living standards and learning outcomes. The current intervention measures largely overlook the impact of ideological and political education in universities.Subjects and MethodsThe study used a randomized controlled trial design. The experimental group (n=60) adopted innovative ideological and political education interventions, including group discussions, role-playing, and theme reports, with an intervention period of 12 months. The control group (n=60) received routine psychological counseling services. All participants were evaluated at the beginning, duration of 6 months, and end of the study. The Hamilton Anxiety Scale (HAM-A) was mainly used for evaluation. Descriptive and inferential statistical analysis was conducted on the data using SPSS 22.0.ResultsAfter the intervention, compared with the control group, the anxiety symptoms of the experimental group of college students were significantly reduced. After 12 months of intervention, the HAM-A score of the experimental group decreased by an average of 12.1 points, while the average decrease in the HAM-A score of the control group was 3.2 points. The follow-up evaluation also confirmed this result.ConclusionsThis study shows that innovative ideological and political education interventions are significantly superior to conventional psychological counseling services, and effectively reduce anxiety symptoms of college students with mental disorders in clinical practice.AcknowledgementThe 2020 Hubei Skilled Talent Training and Research Center Project (No. 20BJN014); 2020 China University Industry, University and Research Innovation Fund - New Generation Information Technology Innovation Project (No. 2020ITA02052).

Digital Transformation of Commercial Banks under the Impact of the Epidemic

Commercial banks are about to undergo a digital transformation, which will give Chinese commercial banks a competitive edge. This transformation will take place in light of the unfavorable global economic situation following the epidemic and the rapid development of new generation information technology. based on the three fundamental ideas of competitive thinking, client focus, and transformation direction Our systematic analysis and summary of the real-world experience of the digital transformation of foreign commercial banks is based on the three fundamental ideas of customer orientation, competitive thinking, and transformation direction. We then suggest the fundamental concepts and approaches for the digital transformation of commercial banks in China. The fundamental concepts and defenses against the digital revolution of Chinese commercial banks are put out.

Национальное стратегическое планирование цифровой экономики: конкурентный анализ на материале Китая и России

At present, the wave of digital economy is sweeping the world. Countries all over the world are competing for the strategic commanding height in digital economy. In order to firmly seize this major historical opportunity and to transform and upgrade its economic structure faster, Russia keeps on strengthening the core capabilities of the digital economy such as information infrastructure, new generation information technology, ICT industry, human resources, information security, and digital environment supervision. Research purpose: a competitive analysis of the national strategic planning for the digital economies in China and Russia. Research objectives: 1) to provide definition for the digital economy; 2) to show the current improvement of the digital economy; 3) to study Russia’s digital economy; 4) to explore China’s digital economy. Research methodology: study of theoretical literature, data collection and analysis. Research results. “Strategy of the Information Society Development in the Russian Federation for 2017–2030” (2017) implies creating conditions for developing large companies in the information and communications technology industry in order to protect national interests in the digital economy. In 2021, Russia’s investment in the development of the digital economy reached the total of 4.094 trillion rubles. It represents an increase of 7.8 % compared to 2020 and amounts to 3.7 % of GDP. Over the past decade, China’s digital economy has made world-renowned development achievements. The overall scale has been the second best in the world for many years. The construction of information and communication networks is a global leader in terms of scope. The "Broadband China" strategy has been diligently implemented. The country has built the world’s largest fiber optic and mobile broadband network. The length of optical cable lines increased 2.7 times from 14.79 million km in 2012 to 54.81 million km in 2021. By June 2022, the total number of data center racks in China exceeded 5.9 million standard racks, and 153 national green data centers were built. Key core technologies have experienced breakthroughs. Investment in research and development of digital technologies is increasing every year. The level of digitalization in the service sector has increased significantly. The digital transformation of agriculture is making steady progress. In China, the deep implementation of the development strategy focused on innovation, promoting key technology research, accelerating the forging of long boards, making up for short boards, and building an independent and controlled industrial ecology.

Structure and Analysis of the Smart Court Construction Evaluation Index Based on Principal Component Analysis for Different Regions

<p>In this paper, the principal component analysis method is mainly used to analyze that the construction level of Smart Court in different regions. The construction level of Smart Court consists of three main components. The result of Smart Court construction level in different regions is calculated. It is concluded that the construction level of Smart Court varies in different regions. It is necessary to make great efforts to solve the problem of unbalanced regional development. It is suggested that the construction of Smart Court in the future should focus on the publicity business such as online cases. And more and more new generation information technology such as artificial intelligence should be applied.</p> <p> </p>

Impact of Digital Economy Development on Industrial Structure Upgrading--Based on Two-way Fixed Effects Model Analysis

Digital economy is an important engine for building a modernized economic system. Through new generation information technology, it improves the operation efficiency of industrial chain and expands the innovation space of industrial chain, thus helping to upgrade the industrial structure. Based on the balanced panel data of 30 provincial administrative regions in China from 2012 to 2020, a two-way fixed effects regression model is constructed to empirically test and explore the impact of digital economy development on industrial structure upgrading. It is found that: Digital economy development can significantly promote industrial structure upgrading, and the conclusion still holds after a series of robustness tests. The promotion effect of digital economy development on industrial structure upgrading is regionally heterogeneous and social consumption level heterogeneous, which can significantly promote industrial structure upgrading in western and low social consumption level regions, but not in eastern, central and high social consumption level regions. Accordingly, policy suggestions are made in three aspects: vigorously developing digital economy, formulating regional differentiated digital economy development policies, and coordinating the relationship between consumption upgrading and supply side

Analysis of international competitive situation of key core technology in strategic emerging industries: New generation of information technology industry as an example.

In the context of the current technological revolution and unprecedented major changes, countries are facing the situation of accelerating the development of key core technologies, which is caused by the transformation from the dispute over trade to the dispute over ecology and scientific and technological strength. Competitive situation analysis is an important link of key core technology innovation. The construction of a universal model of international competitive situation analysis of key core technology can provide scientific support for decision makers of science and technology innovation to solve technical difficulties. This study takes the new generation of information technology industry as an example, identifies key core technologies of the industry and evaluates the competitive situation of the major world countries. Studies indicate that in the field of new generation information technology, the US and Japan is in the leading position globally. In addition, China has active innovation activities in all fields, but overall there remains a considerable gap with the world-leading level, and its R&D quality needs to be further improved.

A Review of the Theory and Practice of Smart City Construction in China

The construction of smart cities is an imperative trend for high-quality urban development and represents a crucial solution to various problems that afflict urbanization, such as population growth pressure, resource scarcity, environmental degradation, and economic frailty. To create a smart city, it is essential to gain a profound understanding of the evolution and experiences of urban development and have a clear grasp of the concept, emphasis, and developmental trajectory of smart cities. However, previous research and theoretical frameworks have mainly focused on the digital transformation of cities, the application of new generation information technologies, and the comprehensive intelligence of cities, neglecting the fundamental positioning and value of cities, which is the people’s central position and pursuit of happiness. This has led to many situations where intelligence is pursued for the sake of intelligence, resulting in inefficient use and allocation of resources. This paper puts forth a framework for the three generations of smart city construction and their meanings at the conceptual level, conducts an in-depth analysis of the development process and challenges of smart cities in China, and provides suggestions for improvement.

Art Portrait Design Based on Mobile Internet in Digital Media

With the improvement of people’s living standards and art appreciation, more and more people are engaged in the design and collection of art portrait. At the same time, the development of new generation information technology, such as digital media and mobile internet, has also made art portrait design techniques more diverse and more rich artistic styles. However, facing a huge number of art portrait, the current management work is mainly carried out manually by professionals, with high people and financial costs. Therefore, it is of great significance to study the effective and correct design and management of art portrait and apply digital mobile technology to provide users with more accurate art portrait. For the demand of art portrait design, this paper takes print, oil painting, ink painting and watercolor painting as the research object, and proposes a deep learning model Mask R-CNN. Based on the multi-disciplinary fields such as deep neural network, digital media and art, this paper analyzes and studies an art portrait design system based on mobile internet. In the paper, the in-depth learning model Mask R-CNN is applied in the system. By comparing the accuracy of the training of Mask R-CNN and U-Net models, this paper analyzes the effectiveness of the two models in extracting art portrait features. In addition, Mask R-CNN model is applied to the art portrait design system based on mobile internet. The final experimental results show that the art portrait design system using Mask R-CNN model has higher prediction and detection accuracy and has better practicability for art portrait design and art communication.

Does Digital City Construction Contribute to Air Pollution Control? Evidence from China

With the quick advancement of new generation information technologies like the Internet, big data, cloud computing, artificial intelligence, and blockchain, digitalization is emerging as a crucial tool for restructuring factor resources, reshaping the economic landscape, and altering competitiveness. However, there is no literature on the impact and mechanism of digitalization on environmental pollution management. Thus, this study measured the level of digital development in each province using principal component analysis based on panel data of 30 Chinese provinces during 2006–2019. On this basis, the impact of digitalization on haze and its mechanisms were explored using regression models and mediating effect models, respectively. The findings demonstrate that (1) haze pollution may be reduced through digital progresses, and there is an inverse U-shaped non-linear link between them, that is, as digital technology is refined, its impact on haze pollution shifts from facilitation to suppression; (2) digital development can reduce haze pollution by promoting technological innovation and improving the efficiency of environmental management; and (3) there is regional heterogeneity in the influence of digitalization on air pollution. In heavily polluted areas, the suppression effect of digital technology on air pollution is more than three times that of other areas. The goal of this study is to investigate how digitalization affects haze pollution and its mechanisms, as well as to offer some scientific guidance for China’s efforts to build a “Digital China” under the banner of digitalization.

Цифровой двойник: история возникновения и перспективы развития

In the modern world, with the advent of the fourth industrial revolution, enterprises are striving to increase the level of efficiency of their activities through the introduction of new generation information technologies that are actively gaining popularity. The use of such technologies allows companies to increase the efficiency of production and management processes. A digital twin is a virtual model of a physical object that helps high-tech enterprises enter a new stage of technological development and increase their competitiveness in the market. The article discusses the stages of development of this technology, starting from the moment the concept was born as an idea, and up to its application in various industries at the present time. The main purpose of this article is to assess the prospects for the development of the concept of digital twins based on the study of its origin and evolution of development. The paper analyzes scientific works on the digitalization of the economy and, in particular, the development of digital twin technology. The article provides an overview of the emergence and development of the concept of digital twins, and considers the experience of its implementation in industry. In addition, the level of technology development to date is analyzed and an idea is formed about the further prospects for the development of technology, based on the conclusions obtained based on the analysis of the history of the concept. The main results of the work are to form a chronology of the development of the concept and to identify the potential for further distribution and popularization of the use of digital twin technology. According to the results of the study, it was revealed that in view of the actively developing field of information technology and the digitalization of the economy, in the near future the popularity of digital twins will only increase. Businesses looking to streamline internal processes and advance to the next level of technological development will increasingly adopt the technology as current results from companies already adopting digital twin technology speak to their effectiveness and value to operational outcomes. Key words: digital twin, industry 4.0, information technology, virtual space, digitalization, digital transformation.

Research on product adaptive design pattern and its application

With the development of technology, the integration of new generation information technology and traditional design processes has become a bottleneck for enterprise development. In order to improve the utilization efficiency of using massive design data and knowledge and solve the problem of the long response time of traditional design, a product adaptive design pattern is proposed. Firstly, the "closed-loop" framework of the product adaptive design pattern is expounded, and the connotation of the "closed-loop" framework is explained from three dimensions of "adaptive". Secondly, the technology system of the adaptive design pattern is constructed. Finally, the product adaptive design pattern is verified by taking the product design of a screw conveyor in an enterprise as an example.

Measurement and spatiotemporal patterns of China's digital economy efficiency

<abstract> <p>The digital economy has deeply integrated into various sectors, becoming a significant driving force for economic transformation and development, as new generation information technology continues to advance and mature. This paper builds upon theoretical analysis and employs the global Data Envelopment Analysis (DEA) method, along with relevant data from China's information transmission, software and information services industry spanning the years 2003 to 2020, to dynamically measure the output efficiency of China's digital economy. Based on this, the paper examines the overall characteristics of efficiency changes in the digital economy using distribution dynamics. Additionally, common descriptive statistics and data mapping techniques are utilized to reveal the spatiotemporal patterns of efficiency changes. The findings of the study are as follows: (1) The efficiency of the digital economy in the 31 provincial regions of China remains stable, but the factors influencing this efficiency vary both over time and among specific provinces. (2) From a temporal perspective, the digital economy in China demonstrates an overall positive increase in efficiency, with its volatility and differentiation largely shaped by the shifting factors of technological advancements and technological efficiency. (3) From a spatial perspective, there exists a distinct pattern of spatial disparities in China's digital economy efficiency, with higher efficiency observed in the eastern regions and lower efficiency in the western regions.</p> </abstract>