Related references
Note: Only part of the references are listed.
Article
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Lieven Raes et al.
Summary: Digital twin technology plays an important role in smart cities, but the lack of unified models and frameworks for data fusion could hinder its development. The T-Cell framework developed by the DUET project provides insights for smart city decision makers through dynamic interactions of models, data, and simulations, and enables monitoring and synchronization of digital twins with the physical environment.
IEEE INTERNET COMPUTING
(2022)
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Summary: Digital twin is revolutionizing industry by mirroring almost every facet of a product, process or service in the digital space. However, realizing their full potential is a complex process as researchers need to model different parts of objects or systems, collect and merge varied types of data, and struggle with determining the technologies and tools to be used. The 5-dimension digital twin model provides guidance for understanding and implementing digital twin technologies.
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Maria G. Juarez et al.
Summary: This paper aims to clarify the concept, characteristics, and operation of digital twin (DT), introduce the latest trends related to this technology, and demonstrate the synergy between DT and multi-agent system (MAS) technologies through a computer science approach.
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Nir Kshetri
Summary: pi-RT is the first robotic vision runtime framework that efficiently manages dynamic task executions on mobile systems with multiple accelerators and on the cloud for improved performance and energy savings. With pi-RT, robots can achieve autonomous navigation simultaneously.
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Summary: The combination of city Digital Twin (DT) and Federated Learning (FL) in response to the COVID-19 pandemic allows for efficient handling of insights from multiple data sources to establish a 'global view' of city crisis management and improve individual city DTs without violating privacy rules.
TSINGHUA SCIENCE AND TECHNOLOGY
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Summary: Sustainability has become a key focus in city logistics management, with smart city technology driving new research opportunities. Smart city is expected to continue evolving in the field of city logistics, with recent research characterized by interdisciplinary approaches and disruptive innovations. The review concludes with a new conceptual framework for sustainable urban freight logistics in smart cities.
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PROCEEDINGS OF THE IEEE
(2021)
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Green & Sustainable Science & Technology
Javier Orozco-Messana et al.
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Article
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Summary: In the digital transformation era in the Architecture, Engineering, and Construction (AEC) industry, Cognitive Digital Twins (CDT) are introduced to support decision-making in building lifecycle management (BLM) as part of Construction 4.0. However, there are challenges in understanding the real impact of integrating CDT with Machine Learning, Cyber-Physical Systems, Big Data, Artificial Intelligence, and Internet of Things technologies for process optimization in the building asset lifecycle.
APPLIED SCIENCES-BASEL
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Stefano Nativi et al.
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Review
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Rui Carvalho et al.
Summary: The paper focuses on the sustainability requirements of digital twin systems, particularly in the context of environmental sustainability. Through the analysis of 29 selected papers, limitations and challenges such as ownership of data, cost reduction, and decision support were identified, highlighting the need for further research and improvement in these areas. Additionally, the lack of papers discussing digital twins specifically in relation to environmental sustainability was also noted.
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Review
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Review
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Summary: Digital twinning has emerged as a top technology trend in recent years, especially in the industrial sector, due to its integration with big data analytics and AI-ML techniques. Despite the lack of a systematic review on digital twinning focusing on the role of big data and AI-ML, this technology shows great potential for future developments in academia and industry. Through a systematic review, researchers have highlighted the importance of big data and AI-ML in the creation of digital twins for various industrial applications.
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