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Since the digital technologies emerge, digital heritage has become an integral part of the world's cultural heritage under the leadership of UNESCO. With the development of digitization and accumulation of data, the digital information processing system for cultural heritage keeps updating. However, there still exist the problems of low information integration degree and weak information sharing ability, severely restricting the promotion and integration of cultural heritage and society. This paper proposes a digital cultural heritage cloud platform, where basic data service, knowledge service, engineering application, visual exhibition were realized through HTTP request. This platform completely encapsulated a large number of cultural heritage data processing algorithms. Accordingly, a cultural heritage data management system, a cultural heritage knowledge construction and application system, a cultural heritage display, analysis and evaluation system, and a cultural heritage microenvironment index monitoring system were embedded in this platform. In addition, the platform provided API for professional customized development to provide effective support. This platform can be flexibly adapted and extended, laying solid foundation for digital information sharing of cultural heritage. [ABSTRACT FROM AUTHOR]

Summary: In recent years, with the development of the Digital Revolution, information technologies such as digital twins and virtual reality are gradually penetrating people's daily learning and living environment. The digital twin historic landscape street has the performance advantages of virtual reality integration, real‐time interaction, independent iteration, and dynamic perception. Taking the historical district of Yu Garden in Shanghai as an example, this paper builds a travel simulation model of the historical district based on the basic elements of the scene service of the digital twin district under the empowerment of "cloud, data and intelligence". With the digital twin lamps as the physical entity, the passenger flow dynamic simulation data model is constructed. The effectiveness of the model was verified through simulation of the impact of passenger flow changes on passenger flow, and improvements and enhancements were made to smart lighting fixtures in the block. This study explores the rich application scenarios of digital twin historic blocks and creates a scenario‐based service model, which will fully activate various online and offline elements of historic landscape blocks, bringing users a brand‐new immersive experience. [ABSTRACT FROM AUTHOR]

Based on the analysis of 5G and Internet of Things technology, this paper proposes the reference architecture of smart factory and its application path for traditional manufacturing enterprises in China, in which the intelligent manufacturing workshop is the core component of smart factory. The Internet of Things technology combined the advanced technologies (Industrial Big Data, WSN, RFID, Cloud Computing Platform) and provides hardware network foundation and technical theory for designing the real-time tracking and monitoring system of intelligent workshop products. The developed system has the advantages of low cost, rapid deployment, and convenient expansion, which traditional manufacturing enterprises realize intelligent management based on IoT application platform. [ABSTRACT FROM AUTHOR]

Industrial companies operate in increasingly competitive international environments; thus, they need to continuously innovate to improve their competitiveness, productivity, and quality. Digital transformation, which is one of the foundations of Industry 4.0, is essential to addressing these innovation challenges. The objective of this study is to present the methodology, development, and implementation of a new cloud computing platform that collects, stores, and processes data from shop floors. Manufacturing shop floors use connected, intelligent devices that produce thousands of data points that, once computed, provide a high added value. This study presents the architecture to collect this data, store it in a big data cloud computing solution, and then process it using advanced artificial intelligence algorithms and/or optimization techniques. The proposed platform has been developed to minimize the complexity and costs required to facilitate its adoption. The platform's implementation and evaluation were conducted by two companies from two different sectors of the Brazilian industry. The objective of the first company was to diagnose production losses in a compressor production line. Using the developed solution, the company identified prospective changes in the layout and automation that could increase productivity by approximately 5%. The objective of the second company was to implement dynamic and optimized process planning in clothing manufacturing. The first assessment of the gains of the proposed solution exhibited an average productivity increase of 10.69% ± 1.82% (confidence interval). [ABSTRACT FROM AUTHOR]

The growing video game markets, especially the mobile market, have caused problems in terms of new game products being found by players. Cross-promotion and in-game advertising have been used to promote video games inside each other. However, the digital nature of video games as an interactive medium enables deeper collaboration between video games, and could be used in a more profound manner. We interviewed Finnish video game companies to understand if they were interested in creating deeper collaboration between their game products, and how such collaboration could take place. Based on the results, we built a platform called Gamecloud for connecting games together. We present the platform architecture and demonstrate it in use, with examples of connecting games with other games and connecting games with the real world, alongside an example of physical exercising. [ABSTRACT FROM AUTHOR]

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