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Ink element is one of the unique cultural symbols in China, which has profound cultural heritage and spiritual connotation. Animation is a form of art design, and it is a good way to convey and express information in an intuitive artistic image. The use of ink and wash elements for animation design has important value and significance in the start of Chinese culture. It can develop animation design, innovate animation creation forms, and can highlight Chinese style. In this article, we have studied the creation process, creation format, and creation method of using angular digital technology to make ink VR design. It combines art and technology and combines practical experience with wireless sensors. Based on HTML5 interactive technology, we have studied its advantages more deeply, better introduced the theme of ink element animation, solved the problem of realizing ink effect in 3D virtual environment, and better introduced ink animation in virtual reality environment. During the production process, students will learn how to simulate digital objects, render ink and wash effects, build a virtual environment in the later stage, and explore the knowledge, operation, and meaning of ink and wash elements and the animation design process. This paper studies the wireless sensor and HTML5 interactive technology and applies it to the design of ink and wash animation VR, aiming to promote its vigorous development and application. [ABSTRACT FROM AUTHOR]

The modern stage focuses more on structural changes, and the numerical control technology realizes the complex changes of the stage scenes and the precise movement of stage props. The study object in this article is musical drama, and it uses digital technologies to digitally manipulate the soundtrack. This study offers a low-complexity feature space minimal variance algorithm that combines the power approach to address the concerns of inadequate resolution improvement, excessive complexity, poor real-time performance, and low resilience of standard MV methods. The method has a high resolution, low complexity, and great resilience, and it may be utilized in a variety of stages. In addition, this paper combines digital technology to process music, enhances the promotion of music in musical performances, and allows performers to integrate in more effectively. Finally, through experimental research, it can be known that the music digital processing technology proposed in this paper can play a good role in promoting musical performances. [ABSTRACT FROM AUTHOR]

This paper studies the digital protection and dissemination of digital information based on intangible cultural heritage. The "digital era" is an important milestone, and there is no problem with the development of martial arts heritage. First, this paper explains that the development of the current martial arts heritage is not without drawbacks, for example, ecological marginalization and imperfect development. Then, the author of this study determined the benefits of combining incomplete martial arts technology with digital technology, and took the digital protection of Xingyi boxing as an example to explore its practice and specialize in digital protection. Then, the problems and procedures in digital protection are studied. Finally, with Xingyi boxing as an experiment, this form leads to separation. The experimental results show that, according to the full understanding of the status quo of nondigital defense culture, the protection measures to improve digital protection are put forward: determining the digital distribution process and writing models, completing knowledge presentation view, document creation, multimedia interactive platform development, and digital technology protection of public heritage, without any problems. [ABSTRACT FROM AUTHOR]

The traditional teaching model cannot adapt to the teaching needs of the era of smart teaching. Based on this, this paper combines data mining technology to carry out teaching reforms, constructs a computer-aided system based on data mining, and constructs teaching system functions based on actual conditions. The constructed system can carry out multisubject teaching. Moreover, this paper uses a data mining system to mine teaching resources and uses spectral clustering methods to integrate multiple teaching resources to improve the practicability of data mining algorithms. In addition, this paper combines digital technology to deal with teaching resources. Finally, after building the system, this paper designs experiments to verify the performance of the system. From the research results, it can be seen that the system constructed in this paper has certain teaching and practical effects, and it can be applied to a larger teaching scope in subsequent research. [ABSTRACT FROM AUTHOR]

Art and science and technology are two different ways people understand and reflect the objective world. The mutual penetration of science, technology, and art has promoted the development of art and the innovation of forms. Technology has become the carrier of social and cultural exchanges and spiritual world exchanges for artists, providing new ideas for modern art. In recent years, with the active development of various new media technologies, new media technologies represented by image technology and digital technology have gradually developed and are closely integrated with various fields. With the development and progress of image and digital technology, digital painting technology has had a great impact on the field of artistic creation. Of course, oil painting creation in the field of art has also encountered unprecedented challenges. This article introduces various functional methods in digital painting technology, and also introduces the preparation method of graphene graphite for printing. And through experiments, graphite with good performance was prepared, which showed that when ethylene glycol was used as a solvent and the mass fraction of graphene was 37.5%, the performance of the ink was relatively best. Finally, this paper designs a digital painting system and compares it with ordinary digital painting systems. It is concluded that the average satisfaction of painters in the designed system is 1.5 points higher than that of ordinary ones. These data show that the application of digital painting technology in the creation of graphene oil paintings has better applications than ordinary digital painting systems. [ABSTRACT FROM AUTHOR]

In order to improve the effect of garden landscape design in the residential area of sponge city, this paper combines digital technology to carry out the garden landscape design of the residential area of sponge city, and conducts the research on it through the intelligent system. Moreover, this paper studies the digital color processing algorithm and proposes a digital technology-based color processing algorithm for the garden landscape design of the residential area of the sponge city. In addition, this paper builds a garden landscape design system for sponge city residential areas on the basis of algorithms. Through the simulation test research, we can see that the garden landscape design of sponge city residential area based on the digital technology proposed in this paper can meet the needs of the sponge city garden landscape design. [ABSTRACT FROM AUTHOR]

In order to improve the color research effect of Qiuci murals, this paper combines digital technology, applies intelligent digital image processing technology to the color research of Qiuci murals, and builds an intelligent system. Moreover, this paper analyzes the color mural pixel digitization of murals from the perspective of digitization and conducts research from a microscopic perspective. In addition, in this paper, the expansion operation is performed for particularly small cracks, and the extraction area of the crack is correspondingly increased, which reduces the bad influence on the subsequent repair due to incomplete crack extraction. Finally, this paper constructs an intelligent mural analysis system based on the improved algorithm. The experimental research results show that the color research system of Qiuci murals based on intelligent digital image processing technology proposed in this paper has good effects and can play an important role in the digital protection and digital restoration of art. [ABSTRACT FROM AUTHOR]

With the development of the times, figurative expressions no longer meet the creative needs of artists and the aesthetic demands of the people. In order to express art in a more profound way, the perfect use of abstract graphics plays a crucial role in the success of the work. In recent years, there has been a surge in the creation of digital art, but there is relatively little theoretical literature on the combination of abstract graphics as a visual language and digital art. In addition, research on the theoretical aspects of digital art design is also relatively weak, so it is essential to analyse the formal aesthetics and innovative applications. In fact, digital art design has a very important role to play in promoting the development of creative cultural industries. In other words, the healthy development of digital art design can influence the future prospects of a country's creative and cultural industries. Digital art design is an integrated and complex production process and labour outcome. In addition to its human, aesthetic, and social value, digital art also has an economic value. Digital art is a new art form that combines digital technology and artistic aesthetics. As such, digital art is characterised by high technology, diverse forms, popularised art, and the advantages of high communication, interactivity, and influence, which can provide more assistance for the innovation and application of abstract graphics. Digital art is multifaceted and has an artistic expression that cannot be matched by other forms of technology. Abstract graphics, driven by digital art, are full of novelty and interest and can greatly enrich people's emotions and senses. Abstract graphics bring the experience of digital art to its fullest potential. The combination of digital art and abstract graphics offers more innovation and possibilities for the development of art and will bring great prosperity to art communication. With the widespread use of computer and network technology, the Internet has developed rapidly. In this context, digital art, as art created in a digital way and concept, has gained widespread attention. As a result, how to integrate existing computer resources in the new environment to build a model of digital art design effectiveness will cause a direct influence on the quality of digital art design with digital content innovation as the core. At the same time, as digital art becomes more and more popular, the demand for digital talents becomes very urgent. As a result, the cultivation of high-quality digital talents has become a major concern for society. Therefore, in order to explore the success of digital art design and the cultivation of digital art talents, and to better serve the innovation of digital art, this paper proposes a digital art effectiveness model based on the K-medoids algorithm. This model can provide a deeper and more comprehensive understanding of digital art and abstract graphics and provide theoretical support for professional design creation. [ABSTRACT FROM AUTHOR]

In order to improve the effect of ballet training, this paper combines digital technology to improve the motion recognition process, analyzes the imaging process, analyzes the system process combined with the human node model, and combines digital feature recognition technology to construct a ballet training motion correction system. Moreover, this paper inputs the ballet training action recognition results into the system and compares the standard actions to judge the rationality of the actions and builds a ballet training action correction system based on digital feature recognition. In addition, this paper designs experiments to conduct ballet training movements in the system effect evaluation. The experimental research verifies that the digital feature recognition technology proposed in this paper can play an important role in ballet movement recognition and has a good action correction effect. [ABSTRACT FROM AUTHOR]

Digital reading promotion service is a service way for libraries to provide readers with a series of digital resources, enjoy the service functions, and share the experience of using them in various digital reading platforms, which is to meet the reading interests and reading needs of more readers, and is also the focus of the current library work. In the era of new media, the characteristics of digital reading are subtly changing the readers' needs for reading environment, reading content, and reading style. Libraries should keep pace with the development of the times and provide readers with diversified, intelligent, and targeted digital reading platforms. The digital reading platform should continuously improve the digital reading service functions, broaden the service scope and dissemination channels, and finally realize the diversification, interest, and intelligence of digital reading service. This paper takes the digital reading platform of libraries in the region as the research theme and carries out research work on libraries. The province is divided into three regions according to the geographical map: southeastern region, central region, and northwestern region. The digital reading platforms of 14 prefecture-level public libraries and 58 libraries of higher education institutions in each region were accessed. Firstly, we check the construction of digital resources within the library websites, secondly, we count the opening of digital reading platform functions, and finally, we check the opening of digital reading platforms. Through the research, it is found that there are problems of unbalanced distribution of digital reading resources in regional libraries; unattractive design of readers' interface and inadequate reading service functions; lack of continuous training of readers' guidance; insufficient publicity and promotion; low efficiency of staff in responding to consultation; and low degree of platform openness and weak awareness of sharing. Finally, the problems found in the research are summarized, and the solution measures for the regional digital reading platform are proposed. Libraries in the digital era should give priority to systems that can manage all library resources comprehensively and effectively, adapt to more flexible library workflows, and enable libraries to provide better services to users. [ABSTRACT FROM AUTHOR]

Wireless sensor networks which are based on distributed information processing technology are taking an increasingly key role in industrial digital twin scenarios. There are many important issues in the access of networks. One of the most important issues is how to improve network access control and the effectiveness of load balancing. Based on the industrial digital twin technology, this article first introduces several typical network access and network loads and performs tree-structured processing on the outliers generated during the chain formation process to reduce the length of the data transmission path, optimize the main chain head and subchain chain head selection strategy and chaining rules, and perform nonchain operations on common nodes and chain heads near sink to reduce data inverse transfer. The experimental results show that this paper uses the digital twin calculation formula to accurately and objectively determine the remaining cluster head and the distance head and the base station, so that when the node distance is limited, the network energy consumption can be balanced as much as possible, and the network load is promoted. [ABSTRACT FROM AUTHOR]

In order to improve the feature extraction effect of digital music and improve the efficiency of music retrieval, this paper combines digital technology to analyze music waveforms, extract music features, and realize digital processing of music features. Taking the extraction of waveform music file features as the starting point, this paper combines the digital music feature extraction algorithm to build a music feature extraction model and conducts an in-depth analysis of the digital music waveform extraction process. In addition, by setting the threshold, the linear difference between the sampling points on both sides of the threshold on the leading edge of the waveform is used to obtain the overthreshold time. From the experimental research results, it can be seen that the music feature extraction model based on digital music waveform analysis proposed in this paper has good results. [ABSTRACT FROM AUTHOR]

In a world that is highly dependent on digital connectivity, technology use is becoming unavoidable, intense, and possibly harmful. The pervasiveness of technology which has been in tandem with the increasing number of reported cases of harmful usage styles, with some exhibiting symptoms of behavioural addiction, raised concerns around users' psychological health and well-being. Digital Wellbeing is a new facet of human well-being that has recently emerged. While the term is yet to have a commonly agreed definition, it typically denotes a technology that promotes positivity, personal growth, and a usage that is balanced and healthy. In this paper, we aim to examine the extent, range, and nature of Digital Wellbeing research activity in human-computer interaction- (HCI-) related literature. We conducted a scoping review analysing 87 articles that researched Digital Wellbeing and its interrelation with technology design. Our analysis identified different meanings and constructs of the Digital Wellbeing concept, research trends, and a gap related to incorporating it in the design process. Accordingly, we recommend that an agreed-on definition for Digital Wellbeing and validated tools and frameworks are needed to ensure its integration in the digital design process. We also recommend that a wider research direction for HCI researchers and practitioners interested in Digital Wellbeing is needed to include the role of designers and societal institutions in the digital design process to ensure a design that is inclusive and well-being sensitive. [ABSTRACT FROM AUTHOR]

The bioeconomy model provides an alternative view of global economic systems by putting sustainable practices combined with digital approaches at the forefront to tackle issues such as climate change. To address this new business trends, financial institutions began to set up the environmental, social, and governance (ESG) business units to evaluate their business strategies. This paper is aimed at examining the nonfinancial effect created by the digital transformation (DT) activities, highlighting the role of enterprise heterogeneity after the implementation of Environmental Protection Law (EPL) in China. We employ the panel data of A-share listed companies from 2010 to 2020, selecting DT and ESG indicators as the important representations of "Industry 5.0." Our empirical results demonstrate a positive impact of EPL on the ESG performance in sight of resource enterprises (REs), environmental enterprises (EEs), and polluting enterprises (PEs), but a negative impact of EPL on the DT indicators among those environmental related industries. Additional causal relationship regression reveals that enterprise DT has an intrinsic promoting effect on the ESG performance, emphasizing on the high risk of digitization process being the shock transmitters to enterprise nonfinancial indices. Notably, the connectedness of environmental policy illustrates dynamic patterns by parallel trend test and propensity score matching (PSM) DID regression. This paper is prone to benefit lawmakers, regulators, and firm executives responsible for analyzing and assessing enterprise digitization behavior by exploring the influence of macrolevel environmental policy. [ABSTRACT FROM AUTHOR]

The arrival of the digital information age has realized the transformation of people's production and lifestyle, which has also promoted the vigorous development of the art field. At present, the application of informatization in oil painting techniques is increasing. The purpose of this paper is to realize the research on the visual planarization of oil painting techniques in the digital information environment to promote the ecological development of the computer and art field. By using the advanced methods and technologies of its information display, this paper proposed the use of image processing algorithms in the digital information age to guide the integration of digital information technology and oil painting techniques. This helped to analyze and solve objective problems such as the profound meaning of the objective existence in the art field and the inability to understand the emotion in it. It can be seen from the analysis of the oil painting color model that, in the RGB model, when the wavelength is within a certain range, it can be used. But when the wavelength is between 444 nanometers and 526 nanometers, the red intensity is too low. That is to say, it can not effectively express its corresponding color in this wavelength range. This model is very challenging. In the XYZ color model, when the wavelength is in a certain region, the output of red light becomes a value less than 0. Any color in this space can be well represented by a linear combination of X, Y, and Z. Therefore, the study of visual flattening of oil painting is very important in the field of art. [ABSTRACT FROM AUTHOR]

With the continuous development of digital technology, music, as an important form of media, and its digital audio technology is also constantly developing, forcing the traditional music industry to start the road of digital transformation. What kind of method can be used to automatically retrieve music information effectively and quickly in vocal singing has become one of the current research topics that has attracted much attention. Aiming at this problem, it is of great research significance for the field of timbre feature recognition. With the in-depth research on timbre feature recognition, the research on timbre feature extraction by machine learning in vocal singing has also been gradually carried out, and its performance advantages are of great significance to solve the problem of automatic retrieval of music information. This paper aims to study the application of feature extraction algorithm based on machine learning in timbre feature extraction in vocal singing. Through the analysis and research of machine learning and feature extraction methods, it can be applied to the construction of timbre feature extraction algorithms to solve the problem of automatic retrieval of music information. This paper analyzed vocal singing, machine learning, and feature extraction, experimentally analyzed the performance of the method, and used related theoretical formulas to explain. The results have showed that the method for timbre feature extraction in the vocal singing environment was more accurate than the traditional method, the difference between the two was 24.27%, and the proportion of satisfied users was increased by 33%. It can be seen that this method can meet the needs of users for timbre feature extraction in the use of music software, and the work efficiency and user satisfaction are greatly improved. [ABSTRACT FROM AUTHOR]

Digital technology offers numerous advantages, such as preserving the authenticity, replicating reality, and facilitating dissemination. It enables the preservation of intangible cultural heritage (ICH) in its original form and allows for the creation of comprehensive graphic, audio, and visual databases. Among these technologies, holographic technology holds promise for protecting ICH and promoting its dissemination. This paper focuses on interactive holographic technology and presents the design and implementation of a dynamic holographic display system that combines digital hologram (DH) and computer-generated hologram (CGH) to showcase 3D images consisting of both virtual and real objects. Real-time loading of DH into a spatial light modulator enables the optical reproduction of real objects, while the loading of two CGHs into other spatial light modulators facilitates the optical reproduction of virtual objects. Computational holography allows for the addition of virtual information, such as coordinate text, and the fusion of the three reconstructed images in space, resulting in an augmented reality experience and enhanced 3D display of real objects. An experimental setup employing three liquid crystal on silicon (LCOS) devices confirms the validity of the proposed method. Compared to other techniques, this approach demonstrates improved image signal-to-noise ratio, reduced alignment errors, and wider coverage of light traversal for laser 3D reconstruction images. The holographic technology presented in this paper enables the fusion display of real and virtual scenes and real-time two-way interaction between the audience and virtual images. This research holds significant practical value in promoting the effective dissemination and protection of ICH. [ABSTRACT FROM AUTHOR]

Folk dance is a very unique local culture in China, and dances in different regions have different characteristics. With the development of 3D digital technology and human gesture recognition technology, how to apply it in folk dance is a question worth thinking about. So, this paper recognizes and collects dance movements through human body detection and tracking technology in human gesture recognition technology. Then, this paper writes the data into the AAM model for 3D digital modeling and retains the information by integrating the manifold ordering. Finally, this paper designs a folk dance learning method combined with the Few-Shot learning method. This paper also designs a data set test experiment, an algorithm data set comparison experiment, and a target matching algorithm comparison experiment to optimize the learning method designed in this paper. The final results show that the Few-Shot learning method based on gesture recognition 3D digital modeling of folk dances designed in this paper reduces the learning time by 17% compared with the traditional folk dance learning methods. And the Few-Shot learning method designed in this paper improves the dance action score by 14% compared with the traditional learning method. [ABSTRACT FROM AUTHOR]

In today's economic globalization and artificial intelligence modern society, the rapid economic growth mainly relies on the vigorous development of digital information technology. Simultaneously, digital technology promotes economic revolution and produces a digital economy, which has become an important concept of China's economic development. In order to more scientifically and accurately describe the development status of my country's industrial structure and digital economy industry, this paper takes each industry of the national economy as the research object and puts forward the idea of using complex network theory to study the relationship between input and output. Based on the complex network theory, this paper analyzes the interrelationships between various industries in the complex system. By referring to the relevant data of the national economic input and output in recent years, the input-output correlation network model between the various industries in the national economic system is established. Using the method of combining statistical analysis and comparative analysis, quantitative analysis and qualitative analysis, carry out detailed and in-depth statistical analysis from the input-output correlation network model and model attributes so as to point out the status and role of various industries in the national economy and so as to analyze and study the industrial structure of the national economy. [ABSTRACT FROM AUTHOR]

To effectively develop digital media art to a higher level, creators should consider incorporating VR into it to improve the quality of digital media art works, especially in light of the continuous advancement of science and technology. This paper explains the uniqueness of digital media artistic design and discusses the artistic creation method of digital media based on virtual reality. In addition, he proposed a virtual reality-based visual space design method for digital media art. This paper examines and researches the spatial visual form in digital media art design from the perspective of visual perception. This paper explains the elaborated contents in detail with design works, beginning with the construction of three-dimensional space, four-dimensional space, and surreal multidimensional space. People can gain aesthetic uniqueness by combining digital technology. Theoretically, the practice of visual space design is investigated in order to provide a reference point for digital media art to move forward in terms of timeliness, diversification, and innovation. [ABSTRACT FROM AUTHOR]

Music written by composers and performed by multidimensional instruments is an art form that reflects real-life emotions. Historically, people disseminated music primarily through sheet music recording and oral transmission. Among them, recording music in sheet music form was a great musical invention. It became the carrier of music communication and inheritance, as well as a record of humanity's magnificent music culture. The advent of digital technology solves the problem of difficult musical score storage and distribution. However, there are many drawbacks to using data in image format, and extracting music score information in editable form from image data is currently a challenge. An improved convolutional neural network for musical score recognition is proposed in this paper. Because the traditional convolutional neural network SEGNET misclassifies some pixels, this paper employs the feature pyramid structure. Use additional branch paths to fuse shallow image details, shallow texture features that are beneficial to small objects, and high-level features of global information, enrich the multi-scale semantic information of the model, and alleviate the problem of the lack of multiscale semantic information in the model. Poor recognition performance is caused by semantic information. By comparing the recognition effects of other models, the experimental results show that the proposed musical score recognition model has a higher recognition accuracy and a stronger generalization performance. The improved generalization performance allows the musical score recognition method to be applied to more types of musical score recognition scenarios, and such a recognition model has more practical value. [ABSTRACT FROM AUTHOR]

The advent of the Internet era has endowed artistic creation with new forms and connotations, and more and more digital media technologies have entered the stage of artistic creation and exhibition. At the same time, Internet technology has also provided more abundant artistic resources and art forms for digital media art for reference. With the development of animation control technology, various character animations present three-dimensional visual effects. Digital media art has emerged as a new concept in the field of multimedia applications and the integration and development of various technologies such as intelligent technology, network technology, media technology, and art design. This makes the art present a three-dimensional beauty with the support of modern high-tech technology. This paper mainly discusses the application of animation control technology in digital media art under the support of Internet technology. This paper also studies the artistic effect of digital media art under animation control technology. Through experimental research, this paper shows that the application of animation control technology in digital media art can improve the vividness of animation characters and promote the integration of digital media technology and culture and art. The fidelity to its simulated reality reaches 98.99%, and the actual effect achieved in the process of digital media art design work is completed, thereby realizing a large number of character animation scenes. [ABSTRACT FROM AUTHOR]

With the rapid development of digital information technology, virtual reality (VR) and VR visual space technology have become important branches in the field of computer 5G. Their application research has attracted more and more attention, and their practical value and application prospects are also very broad. This paper mainly studies the artistic style conversion based on 5G VR and VR visual space. This paper starts from the two concepts of VR technology and VR vision, analyzes the development process and characteristics of the two, discusses the possibility and inevitability of the fusion of the two, and leads to the space art produced by the fusion of VR technology and VR vision. This kind of art space gives people an "immersive" experience. This paper analyzes multiple immersive experience works, analyzes its multi-sensory and multi-technical spatial art style transformation form, and summarizes the advantages and disadvantages of the current art style transformation form based on 5G VR and VR visual space, with a view to the future development of VR immersion for reference. This paper analyzes the ease-of-use indicators. The experimental results show that, except for the sensory experience indicators, the average values of other indicators are less than 1. This is a project with better ease of use, and the use of 5G VR and VR vision technology can improve the transformation of space art style. [ABSTRACT FROM AUTHOR]

The purpose of this paper is to combine digital sensing technology with English character recognition in order to improve its overall effectiveness. In addition, this paper will comprehensively analyze the functional requirements of the digital system in teaching management and will clarify the functional goals that the digital system of teaching management needs to achieve. In addition, this study does an in-depth analysis of the many functions of the system and categorizes each of those functions into a number of distinct business operations. In addition, the English classroom teaching mode is improved with the help of machine learning, deep learning, and digital technology. In addition, an English classroom teaching system that is based on IoT Networks technology is constructed in this study. In addition to this, the study investigates the algorithmic flow of the functional structure modules of the system, develops each functional module of the system in detail, and elucidates the software design schemes at all levels connected to each functional module. In conclusion, the experimental research presented in this work validates the efficiency of the algorithm model presented in this paper. The findings of the study indicate that the digital English teaching system constructed in this work is effective, which supports the findings of the study. [ABSTRACT FROM AUTHOR]

IoT networks and Teaching System have attracted much attention from researchers of industry and academia. As a typical application of IoT tworks and Teaching System, the system studied in this paper is a three-way platform for IoT technology, language teaching methods, and language teaching quality is incorporated into the framework of language teaching system. Based on the current stage of language teaching methods in China and its digital needs, the role of IoT-based language teaching models on language teaching quality improvement is investigated by establishing an IoT language teaching model and using conventional comparison methods to compare conventional language teaching quality improvement models with language teaching models based on IoT platforms to consider the impact of IoT technology on language teaching quality improvement. The results show that in the educational context where digitalization and intelligence are the trends, the intelligent language teaching model integrating IoT technology is much better than the language teaching model under the conventional model in terms of teaching quality, and through IoT technology, more language enthusiasts can become language learners and improve their learning ability. The work in this paper provides an important application guidance to IoT networks and Teaching System. [ABSTRACT FROM AUTHOR]

In the digital economy era, knowledge platforms have both the functions of knowledge collaboration and social media. At the same time, how to promote knowledge collaboration through platform empowerment is getting more and more attention. Since there are few types of research on how to realize the micromechanism of platform empowerment, the purpose of this paper is to take knowledge platforms as an example to study the conceptual system of platform affordances based on the social-technical perspective. Through the theoretical integration of technological empowerment and authorization empowerment, this paper provides new perspectives and future themes for explaining the platform empowerment mechanism of knowledge collaboration. As for the method, the deductive research approach is adopted in this paper. First, through the critical literature review, the gaps in platform empowerment research have been identified. Second, from the analysis of the characteristics of knowledge platforms such as Wukong Q&A and Zhihu, the relationship between platform affordances, platform organizational characteristics, and customer needs has been explored. In the final, according to knowledge platform characteristics, the conceptual system of platform affordances has been deduced. The result shows that through integrating organizational theory, knowledge management theory, and platform ecological viewpoints, the main components of the affordances of knowledge platforms have been summarized. In addition, the relevance of those components to the functions, interfaces and rules of the platform system has been illustrated, and the corresponding relationship between the affordances of the platform and the main components of authorization empowerment has been established. With regard to the implication of this study, it establishes the theoretical connection between technological empowerment and authorization empowerment and provides a more intuitive and operable method for platform empowerment of knowledge collaboration through the perspective of social-technical interaction. This paper emphasizes that starting from the mission of the platform, the stickiness of the platform can be enhanced by building platform affordances. In addition, extensive development ideas that purely pursue Internet traffic and capital need to be avoided, which is conducive to the high-quality development of knowledge platforms and the digital economy. Furthermore, this paper calls for more research on the affordances and empowerment mechanism of the platform to provide theoretical guidance for the highly unified practice of platform organizational characteristics, platform system characteristics, and target customer needs, so as to develop a more active and meaningful platform knowledge management field. [ABSTRACT FROM AUTHOR]

Network ideological and political education (This article is abbreviated as IPE) refers to the IPE method that uses Internet technology to conduct open teaching to students or audiences of IPE. New media refers to the use of digital technology to provide users with information and services through channels such as computer networks, wireless communication networks, satellites, as well as terminals including computers, mobile phones, and digital televisions. This paper mainly analyzed the realization path of college students' network IPE system in the new media environment combined with big data technology. In this regard, this paper proposed the K-means clustering algorithm and the ant colony algorithm as the research methods of this paper. Through the questionnaire survey, it is found that the adaptive characteristics of freshman students are more obvious. There are 187 first-year students who are still in the adaptation stage, accounting for 93.5%. These students will have different degrees of difficulties in adapting to psychology, life, and study. These problems affect and restrict the direction and quality of college students' daily life and self-development. In the new media environment, this paper conducted an experimental analysis on the online ideological education of college students. The experimental results have shown that the K-means clustering algorithm and the ant colony algorithm are effective in the research of the college students' network IPE system. [ABSTRACT FROM AUTHOR]

The paper discusses the commercial opportunities for digitalization, as well as the changes that occur when digital technology is adopted throughout all business areas. A survey of digital firms found that maturing digital organisations are concentrating on integrating digital technologies to revolutionise how businesses operate. A digital strategy supported by management who nurture a culture of change and innovation is a primary predictor of a company's ability to digitally remake itself. Companies that integrate big data, cloud, mobile, and social technologies into their infrastructure are more lucrative, have larger sales, and have a better market valuation than competitors with a weak vision. This paper aims to conduct an in-depth study on the evaluation and decision-making model of the effectiveness of enterprise transforming to digitalization based on data mining in order to address the shortcomings of self-evaluation, promote and improve the process and promote enterprise transforming to digitalization. First, it determines the evaluation index and uses triangular fuzzy numbers to clarify the index weight. It also gathers the opinions of various experts in the decision-making process. Afterward, the decision tree evaluation model is generated through the information gain and ROC curve. Based on enterprises' relevant transforming to digitalization data, the decision tree model is used as the evaluation decision model, and the research on the evaluation model of the point of enterprise transforming to digitalization is completed. Experiments show that the method proposed in this paper has high accuracy, fast algorithm operation efficiency, and robust data mining ability. It can effectively improve and promote the progress of enterprise transforming to digitalization. [ABSTRACT FROM AUTHOR]

As a new form of e-commerce, digital industry will become a tool to enhance regional competitiveness and win the allocation of resources, and its advanced degree is the standard to measure economic strength. In the process of development, countries and regions need to master their development status, so a set of digital industry evaluation index system is necessary to help various fields monitor the development status of e-commerce industry, aiming at providing more targeted services. Therefore, the establishment of regional digital industry progress index is conducive to evaluating and improving the development level of e-commerce. Because of the unbalanced development among different regions and the diversity and fuzziness of evaluation indexes, how to evaluate the development degree of cross-border electronic commerce in a region has become the main problem at present. In this paper, the evaluation index of regional promotion degree in cross-border electronic commerce is constructed, and on this basis, the intuitionistic fuzzy multiattribute group decision-making method based on induction is used to evaluate the promotion degree of regional cross-border electronic commerce. By analyzing the actual situation of cross-border Internet e-commerce comprehensive evaluation cases in various regions of Zhejiang Province, it is proved that this method is really effective. In view of this, this paper constructs an integrated multiangle monitoring index system of regional digital industry progress index, puts forward a subjective and objective method based on the principle of the minimum distance between the evaluated object and the ideal point, and combines the regional digital industry progress index with the comprehensive index method. The measurement model is used to measure the progress of digital industry in this region from June 2019 to June 2020, as an empirical object. The empirical results will show that this road is easy, and at the same time, we can fully grasp the progress of digital technology in a region. [ABSTRACT FROM AUTHOR]

As a product of digital technology, financial shared services can be deeply integrated into enterprise operation and management, which is significant to accelerate the financial transformation of real enterprises and achieve high-quality development. Based on this, this paper examines whether and how financial shared services empower the real economy, using data from listed companies in China from 2008 to 2017 as a sample. The research results show that financial shared services can significantly improve enterprise value and thus empower the real economy, and the optimization of operational efficiency is an important path for financial shared services to empower the real economy. Further research finds that the empowering effect of financial shared services on the real economy mainly exists in enterprises with many subsidiaries, large scale, and high labor intensity. This paper not only bridges the gap between financial shared services and micro-enterprise related research but also provides references and lessons for how to implement financial shared services in the real economy. [ABSTRACT FROM AUTHOR]

As economic transformation and social change have taken place, digital media and Internet technology have developed rapidly, and the need for the development of digital research on nonheritage oriented to transmission and dissemination is becoming increasingly strong. On the basis of cultural identity and cultural sovereignty, intangible cultural heritages (ICHs) are disappearing at an alarming rate, ICHs are facing an existential crisis, and their development prospects are worrying. With the emergence of neural network models, the development of digital technology has revived many things that were on the verge of extinction. Traditional cultures and industries that originally seemed unrelated can take on new forms with the help of digital technology, thus enabling ICHs to find new ideas for development. This paper takes Huizhou ICH as an example and tries to design and construct a Huizhou ICH database and a digital map of Huizhou ICH, and it establishes a database for management and operation. The paper applies the information space theory to study the use of digital resources of ICH under the threshold of the neural network and employs digital information technology to recode, reconstruct, and interpret ICH. As a result, traditional ICH items are displayed in a digital way, which improves the public's recognition of digital ICH items, thereby promoting the inheritance and dissemination of ICH. [ABSTRACT FROM AUTHOR]

In order to improve the effect of digital teaching of spoken English, this paper combines virtual reality technology to design a digital teaching platform for spoken English and combines virtual reality technology to digitally process spoken English. The signal processed by the front-end amplifier circuit is converted into a digital signal through analog-to-digital conversion, and the digital receiving system is realized by means of software radio, which reduces the dependence on the hardware circuit and enhances the portability of the system. In addition, this paper selects filters according to the needs of digital teaching of spoken English and constructs a digital teaching platform for spoken English based on virtual reality. The experiment verifies that the digital teaching platform for spoken English based on virtual reality has a good effect of digital spoken English teaching. [ABSTRACT FROM AUTHOR]

Focusing on the topic of dynamic capability development and digital transformation of traditional enterprises in the digital economy era, and using traditional manufacturing as an example, this paper examines how small- and medium-sized (SMS) businesses should transform and develop in the digital economy era. Furthermore, in light of the problem that existing models cannot evaluate dynamic nonlinear optimization, a diversified dynamic capability evaluation model of SMS enterprises is developed, and the model is solved using the accelerated genetic value method based on real number coding, while the parameters of the BP network are evaluated using the genetic algorithm. In this study, 100 SMS companies are chosen from a pool of 1000 companies to perform an empirical study. In the empirical study, three different scenarios were employed. The selected dataset is utilized to test BP and GA in the first scenario. In the second scenario, the BP and GA are combined to create a more robust model, which is then evaluated on the specified dataset. This research provides a novel approach that combines the PCA with the acceleration method in the third case. According to the findings of this study, the methodology suggested in this work has an overall evaluation accuracy of 95.6 percent, which is pretty good when compared to other approaches. The model training error and test error, on the other hand, are both lower than those of traditional assessment procedures, according to the data. [ABSTRACT FROM AUTHOR]

The paper measures the income distribution effects and welfare effects of VAT itself based on Chip2013 household income and expenditure microdata using the Gini coefficient, Suits index, and Theil index from the perspective of annual income and lifetime income, respectively, and the effective VAT rate. Taking provinces as the basic research unit, we use the first-right method, LISA time path, and Spatiotemporal leap to evaluate China's well-being level from 2010 to 2020 and analyze its Spatiotemporal dynamic characteristics. At present, most countries adopt a tax rate model with 1∼3 bands. The current VAT rate structure is "13% + 9% + 6%," which is in line with the international development trend. In the data preprocessing module, the HTTP(S) responses of non-IoT devices are first filtered out and then the text that may contain device information is extracted from the remaining HTTP(S) responses by integrating multidimensional features, and finally, the irrelevant strings in the text are filtered out. At the end of the paper, simulation experiments are designed to verify the function and performance of the identification information extraction system for this heritage connected device, and the results verify that the model identification method in this paper can achieve better identification results compared with existing methods. The results verify that the model recognition method in this paper can achieve better recognition results compared with existing methods. [ABSTRACT FROM AUTHOR]

In the context of digital economy, the international trade mode has undergone profound changes, so digital transformation has become the key to the sustainable development of foreign trade enterprises. In this paper, by collecting the data of 27 foreign trade enterprises listed in Shanghai and Shenzhen A shares from 2010 to 2020 and adopting the method of full text identification of enterprise comprehensive financial reports to quantify the intensity of enterprise digital transformation, the influence of digital transformation of foreign trade enterprises on the main business performance and the effect of two mediating variables of internal control and innovation ability of enterprises were studied. The result shows that the digital transformation of foreign trade enterprises has a significant role in promoting their main business performance. From the mechanism of action, digital transformation promotes the overall improvement of the main business performance of enterprises by improving the internal management of enterprises and enhancing the mediating role of enterprise innovation ability. Finally, from the perspectives of government and enterprises, some suggestions were put forward for foreign trade enterprises to choose the development path of digital transformation. [ABSTRACT FROM AUTHOR]

Due to the lack of image feature extraction in traditional panoramic image generation technology, the effect of 3D reconstruction of physical objects is poor. In this paper, fully digital stereoscopic 3D reconstruction technology is introduced in water conservancy surveying and mapping engineering to ensure complete panoramic image generation. Through in-depth analysis of the principle of 3D reconstruction technology and the database, the detailed water conservancy surveying and mapping engineering images are obtained, the feature vectors of the obtained panoramic images are matched, and the database is compared and positioned according to the matched position features. By using the initial position camera and calibration features, comparison and query are conducted with the image database, to remove the worthless confidence data, retain the outline of the object with reference value, obtain a fixed pose center point, and remove the overlapping area in the process of 3D reconstruction after calculating the outline of the image. Finally, the automatic generation of panoramic images is realized. Finally, the results of experimental analysis show that the panoramic image generation technology of the fully digital stereoscopic 3D reconstruction proposed in this paper has a relative accuracy of 49% compared with the traditional image generation method, and the effect of image generation is relatively good, which has a certain use value. [ABSTRACT FROM AUTHOR]

Enterprise management resource protection is a system management activity in which an enterprise conducts comprehensive planning, allocation, utilization, and development of its resources, and it is the process of organizing, planning, coordinating, supervising, and controlling the allocation, utilization, and development of enterprise resources. The purpose of this paper is to analyze the system that digital information technology applies to enterprise management by constructing models and combinations based on digital information technology so that the built models and combinations have a more effective analysis and research. This paper first gives a general introduction to digital information technology, then analyzes the theory of enterprise management resource protection, then establishes a model for information technology to act on enterprise management, and finally analyzes the combination of information technology and enterprise management and compares the two through enterprise case analysis. The experimental results show that in the case of enterprise management in various regions, the efficiency of enterprise management based on digital information technology is obviously higher, and the enterprise resources can be better protected. From 2018 to 2021, the development of enterprise management resource protection in various regions is basically showing an upward trend; it increased from 3.443, 5.414, 6.473, 4.382, 2.997, 3.751, 0.506, and 2.974 in 2018 to 6.187, 7.658, 8.601, 7.518, 5.932, 6.516, 3.877, and 6.243 in 2021. This is a good demonstration of the effectiveness of the protection of enterprise management resources based on digital information technology. [ABSTRACT FROM AUTHOR]

At present, there are frequent occurrences in the industry of manufacturers only having products, but they have no product data, resulting in manufacturers unable to open molds to produce the products themselves and can only buy them at high prices. This article takes the rear case of an automobile generator produced by a company as an example, which aims to show the design of automobile injection molds through automation technology. This paper studies the use of automation technology to achieve the automatic model reconstruction of products, and uses the CAD technology to design injection molds based on the obtained digital models of products. This paper also uses the CAE technology to verify the feasibility and rationality of the designed mold, exploring the optimization method of the injection molding process of the mold. In this paper, a special product pouring system and demolding mechanism are designed according to the product process requirements. The design greatly simplifies the mold structure while fulfilling the product process requirements, which avoids the use of expensive hot runners and complex flip-chip mold structures, reducing the mold manufacturing cost. Secondly, the overall design of the injection mold is carried out, and the external dimensions and other main parameters of the mold are determined. Then, Moldflow software is used to simulate the injection molding process, verifying the feasibility and rationality of the designed mold. The optimization method of the injection molding process is also proposed, and the optimal injection process parameters are determined to ensure that the mold can produce qualified products and ensure high production efficiency. It can be seen from the analysis results that the maximum warpage deformation of the plastic part under all effects is 0.65 mm, which meets the product process requirements. [ABSTRACT FROM AUTHOR]

In the era of in-depth application of knowledge technology in the field of education, the teaching mode combining school English teaching and network data technology is widely used in school English education. Teaching resources have become electronic resources under the influence of digital information technology. However, English teaching often ignores all aspects of English ability, so there are still shortcomings in English teaching. The role of information technology makes a single English teaching text model unable to meet the needs of scholars. In recent years, multimodal events have enriched the expression of language input and output content, which is in line with the learning needs of current students. Therefore, under the premise of digital information technology, this paper constructs a multimodal English teaching model from the aspects of multimodal English teaching resources, multimodal English teaching activities, and multimodal English teaching analysis. It aims to mobilize the enthusiasm of scholars to learn English from various aspects and build a multimodal teaching mode of English for teachers supported by digital data technology. Therefore, the experiment shows that the multimodal teaching mode of college English based on digital information technology proposed in this paper will mobilize the enthusiasm of students to learn in a comprehensive way. It greatly improves students' English performance, promotes the development of students' autonomous learning ability and comprehensive language ability, and improves the quality of English teaching by 20%. [ABSTRACT FROM AUTHOR]

Digital media art differs from other forms of existence in the intersection of digital technology and art, and this new form of existence contains its unique value. Digital media art education crosses the disciplines of art, computer science, and technology and builds a new perspective that can encompass the academic discourse of literature and science, transcending the opposition between scientific and humanistic cultures and creating a broader knowledge structure and a new view of values and resources. In this paper, we use image quality evaluation based on local Gaussian weighted fusion and image collocation for restoration of precious cultural relics and images to realize their cultural values, in view of the current problems such as damage caused by a large number of precious paintings due to improper preservation and other problems. [ABSTRACT FROM AUTHOR]

Innovation in products or services is crucial for industrial manufacturing businesses in countries that prioritize exports. A plethora of advancements based on the internet of things (IoT) applications has been made possible by the falling prices of processing power, communication, and electrical components. Only a small number of industrial manufacturing enterprise-specific IoT applications have been effective yet. The present literature does not fully explain this scenario, which is very necessary for taking the advantage of IoT in manufacturing enterprises. In order to adapt to the change in digital market demand and enhance the market competitiveness of manufacturing enterprises, this paper aims to study the digital transformation path of manufacturing enterprises based on the internet of things (IoT) and data encryption technology. A digital transformation service system is built for manufacturing enterprises based on the IoT and data encryption technology to help manufacturing enterprises fully understand their own digital degree, provide effective suggestions for the digital transformation, and introduce the overall architecture and functional structure of the service system in detail. A distributed intelligent recommendation method is proposed that is based on personalized customization and recommends transformation schemes for businesses in order to better direct users' product customization and decision-making and allow the users to accurately describe their own needs, improve customization efficiency, introduce intelligent recommendation methods, and strengthen the basis of collaborative filtering methods based on items. The simulation result demonstrates that the service system proposed in this study performed really well in terms of both accuracy and time consumption. It is anticipated that the suggested approach will successfully raise the digital maturity of manufacturing companies and will help them in increasing their ability to compete in the current market. [ABSTRACT FROM AUTHOR]

With the development of the digital age, the hardware equipment and system software of digital painting are becoming more and more popular, and the penetration of digital technology in the field of printmaking is getting deeper and deeper. However, traditional skills are gradually being eroded under the pressure of a homogeneous and efficient modern digital society. This paper aims to use the edge computing optimization model to provide a new path for the integration of digital prints and traditional prints. While retaining the exquisite skills of traditional printmaking, it also uses modern digital technology to make digital printmaking more alive. Based on this, this paper focuses on analyzing the optimization model of edge computing, and it optimizes the upload and downlink transmission for the creation of digital prints. Through experiments, it is found that the system energy consumption of the initialization scheme does not change with the change of T, while the system performance of the MEC optimization scheme has been improved, and the improvement range is between 80% and 100%. As T grows, the optimization of the task assignment variable L u will improve the overall system performance. [ABSTRACT FROM AUTHOR]

There has been a significant surge in the interest in adopting cutting-edge new technologies in the civil engineering industry in recent times that monitor the Internet of Things (IoT) data and control automation systems. By combining the real and digital worlds, digital technologies, such as Digital Twin, provide a high-level depiction of bridges and their assets. The inspection, evaluation, and management of infrastructure have experienced profound changes in technological advancement over the last decade. Technologies like laser scanners have emerged as a viable replacement for labor-intensive, costly, and dangerous traditional methods that risk health and safety. The new maintenance techniques have increased their use in the construction section, particularly regarding bridges. This review paper aims to present a comprehensive and state-of-the-art review upon using laser scanners in bridge maintenance and engineering and looking deeper into the study field in focus and researchers' suggestions in this field. Moreover, the review was conducted to gather, evaluate, and analyze the papers collected in the years from 2017 to 2022. The interaction of research networks, dominant subfields, the co-occurrence of keywords, and countries were all examined. Four main categories were presented, namely machine learning, bridge management system (BMS), bridge information modeling (BrIM), and 3D modeling. The findings demonstrate that information standardization is the first significant obstacle to be addressed before the construction sector can benefit from the usage of Digital Twin. As a result, this article proposes a conceptual framework for building management using Digital Twins as a starting point for future research. [ABSTRACT FROM AUTHOR]

The utilization and accessibility of big data and digital media technology by common people have decreased technological prices. Professional education has been pushed to modernize curricula and boost talent development efficiency. The vocational education curriculum system must take into account the usage of new technologies in a comprehensive manner to ensure the availability of knowledge and ability structure. To accomplish the goal, the application techniques and approaches of teaching and practice utilizing big data and digital media technologies in vocational education are explored and researched. To improve the teaching quality of higher vocational education, with the help of big data, this paper aims to conduct an in-depth study on the application of digital media technology in higher vocational education. Firstly, the teaching management system of higher vocational education is constructed. Secondly, the structure, efficient units, architecture, and database of the teaching management system are pronounced. Thirdly, fuzziness mining and teaching data scheduling are used to optimize and regulate the storage structure. According to the multiparameter optimization method, the teaching feature screening and resource scheduling are completed improving the capability of parameter recognition and online identification related to teaching resources. The simulation results show that the method proposed in this paper can make the teaching methods of higher vocational education more diverse. It is anticipated that it can help the reform process and growth of vocational education, as well as the development of innovative and entrepreneurial skills. As the data receiving rate of teaching resources is high, therefore, the ability of teaching resource scheduling is also strong along with a high application value. [ABSTRACT FROM AUTHOR]

Due to the increasing progress of digital technology in recent years, the protection, inheritance, development, and utilization of historical and cultural resources have become more and more integrated into it, and it has become an ideal way. At present, many countries and regions have carried out relevant research projects. With the change of the living conditions of cultural heritage and the rapid development of sci & tech, many traditional protection methods are no longer suitable and need to be replaced by new protection methods. Digital protection technology is one of the fastest developing and most concerned. With the help of virtual reality (VR) technology, it presents the essence of Chinese culture for thousands of years and comprehensively combines the characteristics of all viewpoint with traditional Chinese culture. Select the representative Chinese traditional culture as the research direction, and analyze the cultural characteristics contained in the Chinese traditional culture. In this paper, Harris operator is used to extract the feature points of the images, and two registered images are calculated according to the affine transformation coefficient. The images after affine transformation are bilinear interpolated and weighted smoothed according to the adjacent position of the overlapping area to realize the seamless mosaic design of the images and the forward and backward projection algorithm of cylindrical panoramic images. And study the artistic expression of 3D panoramic image acquisition. Based on the analysis and experiment, it can be obtained that after calculation, the average spatial data acquisition efficiency can reach 61.8%. In practice, the average display effect can reach 60.4%. [ABSTRACT FROM AUTHOR]

As a form of animation that is closest to the essence of movies among all kinds of animation, stop-motion animation is deeply loved by people and has a lot of room for development in the new era. The steady progress of science and technology has raised people's requirements for the presentation form of stop-motion animation. People are no longer satisfied with the design of stop-motion animation, which only unilaterally transmits information to the audience and does not interact with the audience. To meet people's needs, this paper applied the augmented reality technology of digital media to the design and production of live-action stop-motion animation. It used 3D tracking and registration technology to integrate virtual characters into real-life stop-motion animation, and presented it to the audience through augmented reality equipment to improve the interaction between real-life stop-motion animation and the audience. Finally, this paper conducted an experimental design on the fluency, accuracy, animation playback, and user satisfaction of the real-life stop-motion animation of augmented reality. The results showed that the smoothness and accuracy of the live-action stop-motion animation using the augmented reality technology of digital media have been correspondingly improved, and the user's satisfaction with the augmented reality live-action stop-motion animation has increased by 3.1%. The augmented reality technology of digital media has greatly improved the interaction between live-action stop-motion animation and the audience and promoted the development of live-action stop-motion animation. [ABSTRACT FROM AUTHOR]

The term "Digital Photography" has been a relatively new research topic in the field of computer-mediated technology. Although Digital Photography emerged thirty years ago, continuous developments and upgradations are being recorded frequently. Advanced technologies like Digital Technology transformed all the technology into digital mode. The field of photography underwent several developments in terms of camera quality, image quality, image clarity, image transfer, image storage, and other sensitive surfaces. Most of the studies confirmed that digital photography permitted the photographer to record videos at high resolutions. All the developments in the field of Digital Photography have largely contributed to the concept of modern photography and enabled the photographers to produce high-quality images. It also helped photographers enhance their photography skills and accomplish their tasks. All the transformations in the field of Digital Technology happened at a pace, and it was extremely difficult. Therefore, the current paper sheds light on the developmental stages of digital photography. It also highlights the significance of digital photography technology in the era of big data. [ABSTRACT FROM AUTHOR]

This paper is aimed at examining the effects of digital teaching on reconstructing creative writing skills and to judge the bettering of creativity and writing skills after accepting digital technology. Based on this paper, creativity and writing skills are the most required elements of creative writing. Fluency, flexibility, originality, and elaboration are the major constructs of creativity. From the contribution of Torrance, we find these constructs of creativity. Narrative and linguistics are the major components in writing skills to evaluate the pupils. Concept and background come under the narrative components as subscales. Likewise, content, the structure of grammar, punctuation, and spelling are considered as subscales in linguistic components. Digital teaching methods and traditional teaching methods are used for this research. We are using a nonequivalent comparison-group design for this research. The rubric is a scoring guide used to evaluate performance. We used this scoring guide to access the improvement of pupils. In total, 58 participants were selected from a primary school. 28 participants were selected from the section A class and 30 pupils from the section B class. In creativity, after the digital teaching, the experimental group is greater than the control group; therefore, the digital teaching method improves the pupils' creativity level. In writing skill, after digital teaching, the experimental group is better than the control group; therefore, the digital teaching method increases the pupils' writing skill. We proposed a SVM-based Chaotic Grasshopper Optimization algorithm for digital teaching of creative writing in the context of big data. The comparative analysis result shows that the SVM-Chaotic Grasshopper Optimization method accuracy rate is higher than the other three methods' accuracy rate. The SVM-CGO method execution time (second) speed is fast when compared with that of the other methods. Thus, we have analyzed the effects of digital teaching and evaluated the improvement in creativity and writing skills after utilizing digital tools. [ABSTRACT FROM AUTHOR]

Multimedia industry is a combination of economic industry and cultural industry and is a powerful tool to promote national cultural revival. In the process of multimedia integration, the multimedia industry has developed rapidly, and there is a huge demand for talents in this field. However, every year, the graduates of media majors have the status quo that they cannot find a suitable job or leave the original profession. The emergence of this status quo is due to the rapid development of the media industry. We should also see the other side that there is a clear contradiction between the news education of universities and the needs of the industry. In China's journalism major education, there are contradictions between the barriers between colleges and the media industry and the "fine" and "all" dilemmas in the cultivation of talents. The purpose of this paper is to study the reform of journalism major professional education driven by the era of digital media technology. This paper sets up a control experiment to demonstrate that the integration of the concept of media integration into teaching can enable students to achieve greater progress. Through the literature research method, it summarizes the shortcomings of journalism major education at this stage and collects educational reforms from previous students through a questionnaire survey. It is recommended that 79% recommend adding practice links in the teaching process, 45% suggest that network coverage in the classroom is convenient for students to access materials at any time, 73% suggest that practitioners can be invited to participate in teaching, and 63% recommend imitation media. In teaching, 39% suggested that students should be taught according to their individual characteristics. 55% suggested using general education in teaching, and 39% suggested setting up more related competitions. [ABSTRACT FROM AUTHOR]

Small and medium-sized technology-based SMEs also play a certain role in promoting the economic development and social progress of a country and can provide relative social resources. However, under the wave of green development, green technology innovation for SMEs is also important, which is of great significance to the sustainable development of enterprises. This paper summarizes the situation of a certain stage of Chinese enterprises' green technology innovation and builds a GIP evaluation index system suitable for small and medium-sized technology-based enterprises. This paper selects Z province for analysis and uses data envelopment analysis and Malmquist index analysis to analyze the GI situation of 11 cities in Z province. And this paper proposes a green innovation performance (GIP) evaluation path for technology-based SMEs. The results show that the overall green innovation (GI) level of Z province shows an upward and progressive trend from 2016 to 2020, and the total factor productivity change index (TPF) in the overall period from 2018 to 2020 is 0.913. The overall GIP of enterprises in cities C and D in Z province is insufficient and needs to be further expanded. [ABSTRACT FROM AUTHOR]