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This paper takes smart cartography in the context of artificial intelligence as the starting point, analyzes the impact of space-time big data on cartography, points to three possible directions for the evolu‐ tion of the map, explains the connotation of smart cartography and its characteristics of crowd-sourced da‐ ta, user participation, model coupling and visual analysis, discusses in depth the explicit and implicit knowl‐ edge representation of smart cartography, proposes the idea of establishing a map knowledge graph, and outlines a platform development paradigm based on low-code technology. [ABSTRACT FROM AUTHOR]

Considering the unique users of scholars' social networks, this paper proposed a collaborative association model of paper and project data based on scholars' social networks. Firstly, the proposed model used the two-step feature selection method to preprocess the data, removed the irrelevant and redundant features and obtained the effective features that affected the association between the paper and the project. Then it would adopt TVSM to calculate the text similarity between the paper and the project, then formed recommendation sets for different papers/projects. Through the social network (SCHOLAT) data for researchers, the model was implemented and applied to SCHOLAT. The online application situation and user feedback show that the model has good accuracy and practicability. Furthermore, it can more fully explore the potential relationship between the paper and the project, provide users with better academic research management services, and propose a novel research method for analyzing the academic big data. [ABSTRACT FROM AUTHOR]

This paper summarizes some hot communication topics from January to February in 2013 by combining academic views of some scholars. These topics include the reasons for the failure of The Daily, big data and data mining, the transformation of newspapers and the two media markets in mainland China. The development of new media and the transformation of traditional media are always the topics that can draw lots of attention. The competition and cooperation between them can not only show the development of new techniques, but also play an important role in charging the habits of audiences, the mode of reporting news and some communication theories. More and more participation of pubic will bring much more challenges for the model of the guidance of public opinion in China. In order to adapt to the new broadcasting environment, the media needs more attempt and innovation. [ABSTRACT FROM AUTHOR]

The research focuses on four issues. First, researches on China's image becomes the hotspot again. The China's image in the eyes of westerners and westerner medias becomes multinational. With the development of new media technology, the construction of China's national image has raised new questions. Second, Many scholars think 2013 as the "big data year". The rapid development of big data is bringing this concept from the theoretical level to ordinary life. Third since the frequent sudden public crisis, the government image encountered an unprecedented crisis. The traditional media, new media and the news spokesman system combination interaction can shape the government image effectively. At last, Combined with the research about the concept of "citizen journalists", the research focuses the debate on this issue. [ABSTRACT FROM AUTHOR]

The Communist Party of China's 19th National Congress Report has clearly set the goal of "smart society" and put forward new requirements for the current development of territorial spatial planning. Nowadays, the empowerment of information technology based on the Internet, big data, cloud computing, etc. is the main driving force and development focus of the current practices of smart territorial spatial planning. How to understand and promote the development of smart society is the foundation of the compilation and implementation of smart territorial spatial planning. This paper emphasizes the importance of human-land relationship and the theory of urban life organism to the planning and governance of territory in a smart society. It points out that the overall conceptualization of smart territorial spatial planning should be transformed from informational empowerment to comprehensive empowerment, which includes technological empowerment and innovative empowerment. The paper constructs a smart territorial spatial planning framework-EPTI-based on the ideas of ecological civilization, people- oriented, technology integration application and institutional innovation, and discusses the paths toward smart compilation and implementation of territorial spatial planning. [ABSTRACT FROM AUTHOR]

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Copyright of Journal of Silk is the property of Zhejiang Sci-Tech University Magazines and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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[Purpose/Significance] In recent years, the national leadership has attached great importance to the inheritance and innovation of China's excellent traditional culture, and the concepts of creative transformation and innovative development are constantly evolving. The Ministry of Science and Technology of China, among six departments, jointly formulated the "Guidelines for Promoting the Deep Integration of Culture and Technology", proposing to form a "cultural and technological integration innovation system covering key areas and critical links, to achieve the goal of in-depth integration of culture and technology". Intangible cultural heritage (ICH), as an essential part of China's excellent traditional culture, plays a crucial role in consolidating the sense of the Chinese national community and enhancing cultural self-confidence. This paper discusses the research paths for the creative transformation and innovative development of ICH in the context of culture and technology integration, emphasizing the significant role of modern technology in promoting the transformation and development of ICH. [Method/Process] The paper first interprets the connotation of "creative transformation and innovative development" in ICH, and clarifies the theoretical foundation and guiding principles of "creative transformation and innovative development" in ICH. It then analyzes the significant contributions of "creative transformation and innovative development" in ICH to society, economy, and cultural diversity, as well as the categorized scenarios of technology empowerment in "creative transformation and innovative development" of ICH. It discusses six types of common key technologies that enable technology-driven "creative transformation and innovative development" in ICH, including digital technology, virtual and augmented reality, big data analysis, artificial intelligence, cloud computing, and the Internet of Things. It summarizes a three-tier framework system for technology-driven "creative transformation and innovative development" in ICH, namely the method layer, technology layer, and object layer, forming a progressive relationship from theory to technology and then to specific practices. Finally, by integrating the specific example of the traditional craft of Wuhu iron painting, it demonstrates the facilitating role of modern technology in the "creative transformation and innovative development" of ICH and its impact on the protection, inheritance, and innovative development of ICH. [Results/Conclusions] The findings suggest that technological means can effectively protect and inherit ICH, facilitating its creative transformation and innovative development. However, it also requires careful consideration and precautions against the potential risks and challenges that modern technology poses to ICH projects in terms of intellectual property rights, the digital divide, and the indirect nature of experiences. Looking to the future, with the emergence of more innovative technologies, modern technology will not only help to protect and pass on traditional culture but also give new connotations and expressions to traditional culture, ensuring that its unique value and charm continue to play out in an ever-changing world. [ABSTRACT FROM AUTHOR]

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Copyright of Big Data Research (2096-0271) is the property of Beijing Xintong Media Co., Ltd. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Big Data Research (2096-0271) is the property of Beijing Xintong Media Co., Ltd. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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In the ship information big data system, aiming at the problems such as long time consuming, distortion of thermal map effect and poor tracking or lag in the roaming of map software when the client requests a large amount of historical data from the server and draws heat map in real time, this paper proposes an improved real-time generation strategy of map map of ship history activity. Based on the thermal map generation method with the idea of pixel clustering, this strategy uses the image enhancement algorithm based on nonlinear transformation and pixel complement method to correct and optimize the display distortion problems existing in the head map. On this basis, the dynamic loading and drawing strategy and multi-thread real-time mapping strategy are proposed to generate the heat map of the ship’s historical activities. Experiments show that the strategy proposed in this paper has been improved in the efficiency of heat map drawing, mapping effect and interactive experience of map software. [ABSTRACT FROM AUTHOR]

The signal systems under the traditional architecture have a high degree of independence and cannot achieve information fusion among multiple systems. In order to realize information sharing with the urban rail production network and enable big data mining, the signal ATS subsystem can be included in the urban rail cloud platform. On the basis of ensuring the independence and safety of the core equipment of the signal systems, the ATS subsystem center-level servers and workstations are included in the cloud platform. This paper calculates the computing resource requirements of the ATS subsystem with a reuse ratio of 1.0 as an example. The connection between the cloud part and the non-cloud part of ATS is realized through the core switching network of the cloud platform. The application server and interface server are configured with blade servers, and the database server is configured with a rack server. To meet the requirements of ATS subsystem redundancy and undisturbed switching, the cloud platform provides two sets of server resources with the same configuration for the ATS subsystem. Considering that the urban rail signal systems need to meet the requirements of Level 3 of Information Security Level Protection, the cloud platform should also be built according to Level 3. [ABSTRACT FROM AUTHOR]

[Purpose/Significance] Talent data have become the most important production factor and strategic resource. Building a scientific and technological (S&T) talent database has become an inevitable way to narrow the digital divide and accelerate the digital and intelligent transformation of talent work. Therefore, this study builds an S&T talent database to promote scientific decision-making for talent development, precision in attracting new quality technical talent, reform in evaluating S&T talents, and building talent system for new quality productive forces. [Method/Process] By analyzing the practical requirements and significance of building an S&T talent database, this study first explores and analyzes the intrinsic logic of promoting the development of new quality productive forces through an S&T talent database. It then summarizes the challenges facing the current construction of a S&T talent database, including the scattering and concealment of S&T talent data, the lack of policies and standardized systems for S&T talent data, the inadequate exploration of value-added S&T talent data, the need to expand the application of digital technology in talent work, and the security risks of S&T talent data. In response to these challenges, this paper finally proposes the idea of building an S&T talents database, and introduces the research exploration and application practice on it, including the construction of big data database for S&T talent aimed at the development of new quality productive forces, the development of AI-powered talent data computing engine, research into the system for profiling new quality technical talent, the analysis of talent growth paths for the training of new quality technical talent, the identification method of new quality talented professionals based on big data, the development of an efficient digital platform for talent management, and the development of a strategic analysis platform for technical talent. [Results/Conclusions] The construction of S&T talent database is an objective requirement for the development of the digital era and an inevitable requirement for the formation of new quality productive forces. Building big data for S&T talent, empowering talent workflow with big data and artificial intelligence technology can help empower talent workflow, release the enormous energy contained in digitalization, effectively activate the internal momentum of talented professionals, institutions, society, and government, and then continuously improve the efficiency of talent resource allocation, the operational efficiency of talent work, the overall effectiveness of talent development governance, and promote the development of new quality productive forces. [ABSTRACT FROM AUTHOR]

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Copyright of Journal of Computer Engineering & Applications is the property of Beijing Journal of Computer Engineering & Applications Journal Co Ltd. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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In order to solve the problem of insufficient analytical capabilities, application depth, and data innovation arising from the large amount of business data accumulated in the organization of heavy-haul railway transportation, and promote the application of big data technology in the field of heavy haul railway transportation, this paper proposes a design solution for a big data analytics platform in the field of heavy-haul railway transportation. Based on an analysis of the characteristics of heavy-haul railways, a framework for the platform is presented, which utilizes a hybrid architecture combining Hadoop and MPP (Massively Parallel Processing). The study also designs the application and technical architecture of the big data platform, and discusses the key technologies and business applications of the platform. Currently, the construction and operation of the heavy-haul railway big data analytics platform based on this design solution have been implemented [ABSTRACT FROM AUTHOR]

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This paper first examines the UK Department for Transport's top-level planning for transport big data and UK rail data access, including the Department's proposed directions for big data applications, transport data sets and data fusion. It then summarizes such information as data statistics, Data Portal Services and data application developed and provided to the public by UK's rail regulator Office of Rail and Road and UK's rail operator Network Rail. It finally puts forward suggestions on the application and development of the big data in China's rail transport industry from the perspective of building the rail transport data set, constructing the data portal for rail transport, and promoting the opening sharing of relevant data. [ABSTRACT FROM AUTHOR]

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With the rapid development of information technology, artificial intelligence-generated content (AIGC) is gradually becoming a new engine of change for the apparel industry. The application of AIGC technology can not only reshape the way apparel content is produced, but also play a key role in all aspects of the apparel industry, thus revolutionizing the existing industry chain structure. This technological advancement means that apparel brands can design, produce and market more efficiently, while also better meeting the personalized and immediate needs of consumers. Against this backdrop, traditional apparel brands are facing unprecedented challenges. As consumer demand for apparel becomes increasingly diverse and personalized, brands must seek new ways to enhance their competitiveness. Digital transformation. has become a key path for brand transformation and upgrading. With the help of digital technology, the information interaction between human and machine, human and clothing, and human and human can be realized, so an efficient, flexible and rapid response to the whole chain will be the mainstream of the future of the clothing brand as well as the direction of development. In view of this trend and the lack of kinetic energy for transformation and upgrading faced by domestic apparel brands, previous studies have focused more on the analysis of the status quo of digital transformation of apparel brands and policy interpretation, and less on summarizing and analyzing from the perspective of generative Al empowering apparel brand transformation. To solve the problem of insufficient kinetic energy for transformation and upgrading faced by apparel brands in the process of digital intelligence development, we, from the perspective of generative Al empowerment, use case study and generalization methods to analyze the development status of apparel brands from the perspective of design, supply chain, marketing, etc., and summarize and analyze the apparel brands in the Al-generated field of empowerment to present four major roles and tasks and seven major technical scenarios. This paper combs through the current situation and challenges of China's apparel brands in the process of digital intelligence transformation, summarizes the development trends of efficient innovation of designers, intelligent and flexible production and manufacturing, and personalized and immersive user experience of apparel brands in the depth of digital intelligence through the apparel design, apparel sales and other roles and tasks and the Al-generated technology scenarios, and provides theoretical significance and practical insights to the proposed strategies for apparel brands in the context of digital intelligence. It has theoretical significance and practical inspiration for the proposal of digital intelligence transformation strategy, and also provides strategies and methods for solving the problem of insufficient kinetic energy faced by brands in the context of digital intelligence. With the continuous maturity and application of AIGC technology, apparel brands digital intelligence transformation and upgrading has ushered in unprecedented opportunities. The empowerment of generative Al has not only brought innovative design ideas and efficient production processes to apparel brands, but also revolutionized marketing strategies and business models. The digital transformation of "brand + AIGC" has changed the design display, service marketing and business model, and also prompted the development of talent capabilities in a more open and collaborative direction. Virtualized design display, personalized service marketing, co-creative business model and collaborative talent capacity will further enhance the degree of digital intelligence of the brand, and help apparel brands realize the virtuous cycle of "data-algorithm-brand-data". This will help apparel brands realize the virtuous cycle of "data-algorithm-brand-data", so that they can maintain their leading position in the fierce market competition and achieve sustainable long-term development. In the context of the era of digital intelligence, AIGC technology is becoming a key force in promoting the transformation and upgrading of apparel brands. The discussion on the path of transformation and upgrading of apparel brands empowered by generative Al has provided a new development path and thinking angle for the development of brands, and the application of AIGC technology can not only greatly expand the innovation boundaries of apparel brands, but also establish a closer and more efficient interactive relationship between the brand and the user. The transformation and upgrading of apparel brands' digital intelligence is a comprehensive and in-depth process, which requires brands to actively embrace new technologies while maintaining their traditional strengths, and to continuously explore and practice new business models and service methods. While building a highly personalized, intelligent, sustainable and diversified apparel ecosystem, it also brings users a richer and more convenient shopping experience. The results of this study not only provide some theoretical reference for subsequent scholars on generative Al empowering the transformation and upgrading of apparel brands, but also provide inspiration and reference for promoting the digital-intelligent transformation of apparel brands and the upgrading of the apparel industry through digital-intelligent transformation. [ABSTRACT FROM AUTHOR]

The common data model (CDM) is an important tool to facilitate the standardized integration of multi-source heterogeneous healthcare big data, enhance the consistency of data semantic understanding, and promote multi-party collaborative analysis. The data collections standardized by CDM can provide powerful support for observational studies, such as large-scale population cohort study. This paper provides an in-depth comparative analysis of the data storage structure, term mapping pattern, and auxiliary tools development of the three international typical CDMs, then analyzes the advantages and limitations of each CDM and summarizes the challenges and opportunities faced in the CDM application in China. It is expected that exploring the advanced technical concepts and practical patterns of foreign countries in data management and sharing will provide references for promoting FAIR (findable, accessible, interoperable, reusable) construction of healthcare big data in China and solving the current practical problems, such as the poor quality of data resources, the low degree of semantization, and the inabilities of data sharing and reuse.

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