New Generation Of Information Technology Research Articles

A Virtual Assembly Technology for Virtual–Real Fusion Interaction of Ship Structure Based on Three-Level Collision Detection

With the rapid advancement of new-generation information technology, the virtual–real fusion interaction has increasingly become a crucial technique for structural analysis to determine the strength envelope of hulls. A high-precision assembly of the experimental devices in a virtual environment is vital. A virtual assembly method for a structural virtual–real fusion test based on the oriented bounding box (OBB) algorithm, the Devillers and Guigue algorithm, and differential triangle facets algorithm are proposed in this paper. The experiment of the connector in a typical offshore floating platform is performed as a case, which indicates that the virtual assembly method proposed in this paper enables the assessment of assembly virtually prior to the actual experiment, and the assembly accuracy can reach 0.01 mm. The digitalization and virtual–real fusion interaction for the mechanical experiment of hulls are advanced to ensure efficiency, safety, and economy.

The impact of digital policies on urban economic resilience under the low-carbon background: A deep identification based on environmental regulation and industrial digital transformation

With over exploitation and increasingly severe environmental pollution, traditional economic growth models are no longer able to promote high-quality regional economic development. Especially in recent years, the limitations of resources and environment, global geopolitical conflicts, and other factors have brought enormous uncertainty to the economic development of each country. To cope with the uncertainty of economic development, it is necessary to use the digital economy formed by the new generation of information technology to strengthen the economic resilience of various regions. This study collected panel data from 30 provinces and cities in China from 2013 to 2022, using the PSM-DID model to examine the subtle relationship between the formulation of digital policies in different cities and their economic resilience. Specifically, environmental regulations and industrial digital transformation play an important role in the process of urban digital policies affecting economic resilience. The research findings of this article emphasize the crucial role of digital policies in addressing the current challenges of economic uncertainty. Through empirical research, the results show that the strategic implementation of digital policies can not only effectively promote the digital transformation of traditional industries, but also strengthen the role of environmental regulations in promoting sustainable development of industries. The digital transformation of industries and sustainable development will significantly enhance regional innovation capabilities and ultimately strengthen regional economic resilience.

The Relationship between Information Technology and the Modernization of the National Governance System

Currently, a new wave of technological revolution and industrial transformation is emerging. New-generation information and communication technologies, such as big data and artificial intelligence, evolve rapidly and profoundly impact economic and social development. They provide strong momentum for the modernization of national governance systems and capabilities. As an emerging governance resource, big data holds vast potential for promoting the modernization of national governance systems. It can enhance the decision-making level of governance, awareness of data openness and sharing, capabilities in public service, and risk management. Artificial intelligence presents opportunities for building a modern national governance system, facilitating precision, intelligence, and efficiency. National governance should seize the development opportunities of information technology, increasing its contribution to building a modern governance system.

Exploration of the Cultivation of Innovative Talents in Intelligent Construction in Application-oriented Universities

Relying on the first-class construction discipline platform, the field research was conducted on the application-oriented colleges and universities that have opened the intelligent construction major, and the necessity of the establishment of the intelligent building major, talent training, professional construction, practice base construction, and teacher construction were discussed. The new generation of information technology, such as BIM technology, 3D printing, assembly, unmanned aerial vehicles, smart construction site sand tables etc., optimizes and adjusts the training program and curriculum system of civil engineering professionals, and integrates them into the corresponding courses. Combine smart construction site and virtual simulation technology with practical courses to explore the cultivation of innovative talents in application-oriented universities. The exploration of the cultivation of innovative talents in intelligent construction in application-oriented colleges and universities pays more attention to application-oriented training, explores new modes of practical teaching, and constructs a smart construction site simulation practice teaching system and virtual simulation practice teaching project group from practice, so as to provide reference for colleges in the later stage of intelligent construction professional declaration and construction, and application-oriented talent training.

The Rise of Participatory Culture and User Content in the Digital Era: A Case Study of Wanyan Huide Fans

In the digital era, with the development of a new generation of information technology, the live broadcast industry is developing rapidly. Due to the impact of COVID-19 and China's national policy, the number of users of live broadcast platforms has grown rapidly during COVID-19, such as Tiktok, Kuaishou, Baidu and other platforms, and a large number of users have poured in, and live broadcasts have become an emerging industry in China. In the process of the rapid development of live broadcasting, some types of live broadcast have also been differentiated, the most popular of which is live broadcasting. In addition, there is also a very popular chat live broadcast. This paper chooses Henry Jenkins's participatory culture and UGC (User-Generated Content) as the theoretical framework and takes the recently popular "perceptual psychology Wanyan Huide" as the research object. Through semi-structured in-depth interviews, this paper explores the reasons for Wanyan Huide's popularity, analyzes the characteristics of his fans, and finally reveals the motivation of his fans for secondary creation.

Can Smart City Construction Promote Urban Green and High-Quality Development?—Validation Analysis from 156 Cities in China

The in-depth participation and application of new-generation information and communication technologies, such as big data, Internet of Things, artificial intelligence, etc., in the field of smart cities have promoted their abilities in urban fine governance, public services, ecological livability, scientific and technological innovation, etc. Smart cities are gradually becoming recognized as the best solution to “urban problems”. Smart city construction drives urban innovative development, accumulates kinetic energy for economic growth, strengthens social support functions, enhances the effectiveness of the ecological environment, and promotes the convergence and integration of urban green development and high-quality development. This paper constructs a difference-in-differences model based on propensity score matching. Additionally, fiscal science and technology investment is introduced as mediating variables to further explain the mechanism through which smart city pilot policy impacts urban green and high-quality development. This research uses panel data from 156 prefecture-level cities in China from 2006 to 2019 to empirically test that the construction of smart cities has a significant positive effect on urban green and high-quality development. The mediation effect model shows that an increase in the level of local government’s fiscal science and technology investment enhances the positive effect of smart city construction on urban green and high-quality development. This research concludes with policy recommendations: the government should seize the development opportunity presented by smart city pilot policy, providing necessary policy support and financial incentive for the construction of smart cities. This will optimize the local economic structure, transform the driving forces of urban development, and assist cities in achieving green and high-quality development.

TSDRL: A three-stage deep reinforcement learning method for reliable collaboration of manufacturing service towards mass personalized production

With the development of intelligent manufacturing driven by new-generation information technology, manufacturing service collaborative chains (MSCC) based on Industrial Internet Platforms have become the main way to cope with mass personalized production. To adapt the dynamics and variability of personalized demands, manufacturing services are required to be frequently reorganized. This leads to dynamic changes in manufacturing service availability and ambiguous reliable collaboration mechanisms, making it challenging for existing methods to consistently maintain stable MSCC. Therefore, this paper proposes a three-stage deep reinforcement learning method (TSDRL) to improve the reliability of MSCC while guaranteeing the satisfaction of personalized demands. The method comprehensively considers the dynamic changes of manufacturing services and service reliability, and solves the reliable MSCC recommendation problem. Specifically, in stage one, high-quality services are selected through DRL state. In stage two, the improved NSGA-III algorithm is used to optimize the MSCC. In stage three, the BP+GA algorithm is used to mine user preferences and recommend high-satisfaction MSCC. By leveraging the exploratory process of DRL, cyclic optimization of MSCC is performed. Through comprehensive analysis and experimental research, it is shown that the method of this paper is robust and practical in dynamic environment.

Cognitive digital twin-enabled multi-robot collaborative manufacturing: Framework and approaches

Multi-robot collaborative manufacturing (MRCMfg) is vital to ensure effective and efficient operation in the manufacturing industry. In recent years, enabled by the new generation of information technology, represented by the digital twin (DT), the digitalization of MRCMfg has progressed steadily. However, more complex manufacturing tasks and more customized manufacturing demands pose challenges to MRCMfg, which limit the applicability of MRCMfg in practice. Recent successes in intelligent manufacturing show that empowering DT with the intelligence and cognition capabilities to adapt to the above challenges is a promising approach. Inspired by that, a cognitive digital twin (CDT) framework with multiple artificial intelligence algorithms for MRCMfg is proposed. The framework consists of three critical spaces: (i) Physical-virtual space: multi-agent system-based DT; (ii) Cognition space: multi-behavior tree (BT) cognition models; (iii) Data space: data-driven cognition evolution. In the data space, multimodal perception is a important way to improve the cognition capabilities of MRCMfg. To alleviate the multimodal data quality requirements as well as to improve the robustness of the perception model, an incomplete multimodal Transformer with deep autoencoder (IMTDAE) approach is proposed. The effectiveness and feasibility of this framework and IMTDAE are verified by case studies. The results provide compelling evidence that this framework has the potential to significantly enhance the intelligence and cognition capabilities of MRCMfg.

Study on the evolution of multi-level collaborative innovation networks in China’s cloud manufacturing industry

ABSTRACT CMfg is a new service-oriented manufacturing mode integrating new-generation information technologies, and its development promotes the digital transformation of China’s manufacturing industry. Exploring the evolution trend of CMfg's co-innovation networks is essential to the development of manufacturing digitalisation. The research is carried out from three levels: The evolutionary characteristics of the organisational co-innovation network in the CMfg industry are identified through SNA and THA; the evolution of technological co-innovation network is analysed by using FP-Growth and the textual analysis, to recognise the technology convergence trends; the evolution of the factors affecting regional collaborations are discovered by using QAP model to analyse the regional co-innovation network. Following conclusions are achieved: CMfg co-innovation is centred on state-owned enterprises in the power and telecommunication industries, with University–Industry collaboration as the main form; the current hot spots of CMfg technologies are the Resource Perception-and-Access, the Resource Virtualisation-and-Service; the regional collaboration in China's CMfg industry tends to be partnership-led and multi-polar. It suggests that: In the CMfg industry, more enterprises-supporting policy should be made, while the Virtualisation-and-Service technologies need more attention, and the partnerships among regions should be further enhanced.

Research on the Efficiency of Service-Oriented Manufacturing in Beijing-Tianjin-Hebei under Digitalization

Against the backdrop of the new generation of information technology and the development trend of manufacturing servitization, this paper constructs comprehensive evaluation indicators for the level of digital development and the development level of productive service industries in the Beijing-Tianjin-Hebei region based on the entropy weight method. It also conducts a descriptive analysis of the digital development level in the Beijing-Tianjin-Hebei region. Further, by constructing a moderating effect model, this paper explores the influence mechanism of the digitalization level of the manufacturing industry on improving the efficiency of the manufacturing industry under the service-oriented manufacturing model in the Beijing-Tianjin-Hebei region. The research results show that service-oriented manufacturing can improve manufacturing efficiency, while the regional digitalization level plays a positive moderating role in this process.

Exploration On the Construction of Smart Campus All-Optical Network

With the rapid development of information technology, the construction of education informatization is urgent, and it is particularly important to promote the gradual development of colleges and universities towards digital transformation. Among them, the construction of smart campus has become an important means to enhance the level of education informatization and improve the quality of education and teaching. As an important part of the new generation of information technology, all-optical network has been widely used in the construction of smart campus. This paper first summarizes the existing network bottlenecks of traditional networks under the trend of digital campus transformation, including the problems of operation and maintenance management, network bandwidth, service expansion and weak current security, then introduces the necessity of all-optical network construction from the aspects of network bandwidth, stability and maintenance cost, and finally demonstrates the construction value of all-optical network through application scenarios. It provides a useful reference for the construction of smart campus all-optical network.

A Research on University Students’ Behavioral Intention to Use New-generation Information Technology in Intelligent Foreign Language Learning

A better understanding of how advancement in science and technology affect students’ learning behavior in an academic setting can help all educators in higher education. With the advancement of science and technology, the new-generation information technology represented by “Cloud Computing, Big Data, Internet of Things, Mobile Network, and Artificial Intelligence” has been profoundly changing the form of education, accelerating the transformation from Teaching 1.0 to Learning 2.0. To investigate the factors influencing university students using a new-generation information technology in intelligent foreign language learning, this study proposed a research model based on Technology Acceptance Model. The sample data were collected from a survey of 237 students at a university. The analysis of structural equation modeling indicated that perceived usefulness, perceived ease of use, construction of foreign language intelligence classroom, and computer self-efficacy all have a positive impact on learners’ behavioral intention. These findings suggest that more emphasis should be laid on students’ learning characteristics, advantages of a new generation of technology, as well as teachers’ intelligent literacy, to further promote the deep integration of the new-generation information technology and intelligent foreign language learning, improving the learning effectiveness ultimately and effectively.

Exploration of Construction Paths for Virtual Simulation Training Bases under the Background of Digital Intelligence Economy

With the application of new-generation information technologies such as virtual reality, artificial intelligence, big data, cloud computing, and 5G, the construction of business training bases has transformed from physical to virtual. This paper analyzes the current construction status of business training bases in higher vocational colleges, identifies major issues such as lack of top-level design, unclear positioning, incomplete operational mechanisms, insufficient teaching content, and weak teaching staff. It proposes construction paths including scientific and reasonable planning, overcoming teaching difficulties with hybrid training, combining education and training, and strengthening the teaching staff, providing valuable references for the construction of new business virtual simulation training bases in higher vocational colleges.

Digital Twins for Discrete Manufacturing Lines: A Review

Along with the development of new-generation information technology, digital twins (DTs) have become the most promising enabling technology for smart manufacturing. This article presents a statistical analysis of the literature related to the applications of DTs for discrete manufacturing lines, researches their development status in the areas of the design and improvement of manufacturing lines, the scheduling and control of manufacturing line, and predicting faults in critical equipment. The deployment frameworks of DTs in different applications are summarized. In addition, this article discusses the three key technologies of high-fidelity modeling, real-time information interaction methods, and iterative optimization algorithms. The current issues, such as fine-grained sculpting of twin models, the adaptivity of the models, delay issues, and the development of efficient modeling tools are raised. This study provides a reference for the design, modification, and optimization of discrete manufacturing lines.

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.

Impact of Heterogeneous Environmental Regulation on Ecological Industrialisation in the Upper Reaches of the Yangtze River in the Context of "Internet + Big Data"

The solution to the ecological and protection conundrum in the upper reaches of the Yangtze River lies in ecological industrialization, which is predicated on ecological preservation and has the capacity to convert local ecological advantages into economic advantages. Environmental regulations are essential to the ecological industrialization process since they help to solidify the base of resource endowment and guarantee the industrialization process's steady progression. There may be a relationship between environmental laws and eco-industrialization, according to the research. With the rapid development of new-generation information technology such as the Internet, big data, cloud computing and the Internet of Things, it is of great significance to strengthen the Internet and big data to empower eco-industrialisation development. Using a panel regression model, the influence and moderating function of environmental regulations on eco-industrialization were examined. The findings demonstrate that environmental rules with a focus on public engagement and command-and-control encourage area eco-industrialization. Nonetheless, the degree of regional eco-industrialization was lowered by the market incentive form of environmental control. It was also determined whether environmental laws had a moderating effect on eco-industrialization. The findings of the mediating impact demonstrate how, through the mediating function of upgrading the industrial structure, all three environmental regulations influence the evolution of eco-industrialization. In conclusion, this study makes the case that environmental legislation has a significant impact on eco-industrialization. Simultaneously, consideration needs to be given to how various forms of environmental control affect eco-industrialization. To this purpose, upgrading the eco-industrialization level of the upper reaches of the Yangtze River requires a reasonable regulation of the strength of environmental regulations. This justifies accelerating the industrial structure's upgrade.

AI-enabled Rendering Technology for the Construction and Development of Dunhuang Virtual Pavilion

This paper focuses on the use of AI technology to assist in the construction of digital scenes in Dunhuang Research Institute, which realizes the roaming of tourists in virtual scenes through image recognition and semantic analysis of massive digital image data, and explores the possibility of AI-assisted rendering of virtual museums. Using AI technology, tourists can observe the uniqueness of each cave within the cavern and its rich content from any angle, and obtain an immersive travel experience. The study fully utilizes the new generation of information technology to build a virtual scene platform of Dunhuang Mogao Grottoes, which comprehensively presents the history, cultural value and artistic value of Dunhuang Mogao Grottoes through the comprehensive integration and display of a variety of digital resources. Focusing on digital media and virtual reality technology, through the use of artificial intelligence technology and the comprehensive integration of related digital resources, to build a complete set of virtual reality ecosystem, and explore the realization of multi-source data fusion of Dunhuang cultural communication.

The digital twins for mine site rescue environment: Application framework and key technologies

In the era of widespread adoption of the new generation of information technology, the crucial development directions for mine site emergency rescue include systematization, precision, intelligence, and diversification. Chinese mines have extensively invested in information technology construction in the field of safety. However, despite these efforts, they still face complex and changing situations following mine disasters. It is often difficult to comprehensively capture all information and devise appropriate rescue plans during the site rescue process. In this context, herein, the scientific connotation of the digital twin system for mine site rescue environment (DTS-MRE) is proposed. Further, its overall architecture, functional characteristics, and key technologies essential for system construction are introduced. The application of DTS-MRE is expected to aid the monitoring, simulation, emulation, coordination, prediction, and control of the entire process of mine emergency rescue governance; increase the success rate of mine emergency rescue; and provide scientific and technological support for mine safety emergency rescue.

An identity-verifiable quantum threshold group signature scheme based on three-particle GHZ states

With the advancement of the new generation of information technology in recent years, quantum digital signatures have been widely concerned. Among them, quantum threshold group signatures have become a hot research field due to their advantages such as low cost and strong scalability. Therefore, in this paper, we propose an identity-verifiable quantum threshold group signature scheme based on three-particle GHZ states. The characteristics of the scheme are as follows. The signers can reconstruct the key K for signature’s generation and verification by using the Shamir threshold secret sharing scheme. A quantum signature is generated by performing controlled-not operations, von Neumann measurements, and quantum Fourier transform. When the signature is verified, only classical hash values need to be compared, without comparing quantum states. Identity verification is performed between participants by using hash functions. The efficiency of the scheme is improved by using super-dense coding. Security analysis shows that our scheme is unforgeable and undeniable.

Research on the Employment Effect and Influence Mechanism of Artificial Intelligence

With the rapid development of the new generation of information technology, artificial intelligence has had a profound impact on the labor and employment market, which has attracted the attention to its structural change. With the background of artificial intelligence, combined with the characteristics of the four technological changes of artificial intelligence, this paper deeply analyzes the influence mechanism of artificial intelligence on employment. Through the 2017-2021 Chinese provinces panel data empirical analysis, the study found: artificial intelligence significantly improved the employment of agriculture and services, but the local manufacturing employment inhibition effect, with the deepening application of artificial intelligence, intelligent manufacturing will create more man-machine collaborative jobs, create effect will take advantage. Accordingly put forward, should correctly understand the substitution effect of artificial intelligence, seize the talent training opportunities of artificial intelligence, for different people to differentiate employment promotion and social security policy, is committed to promote innovation and entrepreneurship, and advocate the government focus on social fairness, to ensure that more groups can share the development of artificial intelligence employment opportunities.