Digital Twin is an emerging innovative technology that can be used in the era of Industry 4.0 and Generative AI, where both the physical assets and digital technology worlds meet. The virtual replicas of physical asse...
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Metaverse and Digital Twin (DT) have attracted much academic and industrial attraction to approach the future digital world. This paper introduces the advantages of deep reinforcement learning (DRL) in assisting Metav...
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The rapid development of emerging technologies, such as digital twin (DT), has added momentum towards the development of smart cities. Along with the flourishing of DT, reality DT is an important member. However, real...
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ISBN:
(纸本)9798350378412
The rapid development of emerging technologies, such as digital twin (DT), has added momentum towards the development of smart cities. Along with the flourishing of DT, reality DT is an important member. However, reality DT model needs to be updated periodically so that the physical entity can be maintained efficiently. Since some physical entities may not be able to upload the entire status information actively, we propose to use unmanned ground vehicle (UGV) as an information collector to assist in updating the reality DTs. Furthermore, considering the large amount of updating data, we leverage mobile edge computing (MEC) technology to collaboratively process the data. In addition, we also propose the concept age of digital twins (AoDT) as a metric to quantify the freshness of DT model. Thus, an AoDT minimization problem is established, which jointly optimizes offloading decisions, UGV waypoints selections, and target points' visiting orders. Considering the difficulty of the problem, we propose a low-complexity iterative algorithm to solve it. Finally, simulation results show that the proposed algorithm can effectively reduce the AoDT, comparing to the benchmark algorithms.
This paper researches the latest advancements in Ethereum virtual machine wallet standards, with a particular focus on ERC4337 and Zero-Knowledge (ZK)-Based wallet proposals. With the continuous evolution of the Block...
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Based on the security of distributed machine learning data and model based on remote proof, a cross-domain dynamic remote proof scheme based on ring signature improves the efficiency of computer cluster proof, the app...
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In today's job market to explore how various contextual factors influence the accuracy of automatically detecting online recruitment fraud, this study seeks to highlight the significance of tailoring such fraud de...
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Water quality assurance within production systems is critical for both public health and environmental conservation. Conventional water quality assessment methodologies hinge on the collection and subsequent laborator...
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This paper explores the role of Robotic Process Automation (RPA) in leveraging opportunities presented by 5G edge computing in the telecommunications industry. Integrating RPA and 5G edge computing offers numerous ben...
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The flexibility of implementing edge computing over cloud infrastructures has become essential for responding to the need for reducing latency and improving data processing in a distributed environment. This research ...
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Compared to traditional RIS, STAR-RIS has a wider coverage and is more valuable in complex environments. Exploiting the potential of STAR-RIS in MIMO-assisted NOMA systems, this paper proposes a mobile passive STAR-RI...
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