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The rapid advancement of mobile networks highlights the limitations of traditional network planning and optimization methods, particularly in modeling, evaluation, and application. Network Digital Twins, which simulate networks in the digital domain for ...

This paper introduces a methodology for information modelling and analysis of physical manufacturing processes for digital twins (DTs). It aims to establish a comprehensive and fundamental understanding of manufacturing processes regarding the ...

• A manufacturing process information model is established for digital twin lifecycle.
• Identifying information entities within the manufacturing process for DTs is studied.
• Three methods are suggested and specified for the ...

• Zero-day cyber attack detection in IoT using federated learning and digital twin.
• A novel method to solve high CPU consumption problems with frequent model training.
• Comparison of the proposed model aggregation method ...

The widespread deployment of Internet of Things (IoT) devices across various smart city applications presents significant security challenges, increased by the rapidly evolving landscape of cyber threats. Traditional security solutions, including ...

Digital twins and digital artifacts have become integral components of metaverse platforms, providing users with a rich, immersive, and interactive digital experience through the deployment of diverse digital twins and digital artifacts such as ...

Numerical simulations are valuable tools for studying cardiac arrhythmias. Not only do they complement experimental studies, but there is also an increasing expectation for their use in clinical applications to guide ...

• Proposed compression reduces GPU memory demand by an order of magnitude.
• Proposed compression technique accelerates GPU simulations by upto a factor of 20.
• Proposed techniques enable real-time interactive simulations of ...

This paper explores a model of vocational education teaching system based on digital twins technology. It examines the unique characteristics of vocational education teaching, highlights the benefits of incorporating digital twins technology into ...

With the development of the power system, the number of substation equipment continues to increase, and the use of intelligent mobile robots to replace traditional manual inspection methods is a trend, which can improve inspection efficiency and ...

Structural health monitoring (SHM) of civil infrastructure is critically important due to its direct influence on public safety and economic activities. Exiting Building Information Modeling (BIM)-based SHM systems often use offline data ...

Recent digital advances have popularized predictive maintenance (PMx), offering enhanced efficiency, automation, accuracy, cost savings, and independence in maintenance processes. Yet, PMx continues to face numerous limitations such as poor ...

The concept of digital twin (DT) is undergoing rapid transformation and attracting increased attention across industries. It is recognised as an innovative technology offering real-time monitoring, simulation, optimisation, accurate forecasting ...

With the integration of virtualization technologies, the Internet of Things (IoT) is expanding its capabilities and quickly becoming a complex ecosystem of networked devices. The Social Internet of Things (SIoT), where intelligent things include ...

• A TCM method integrates domain knowledge in terms of signal evolutionary behavior and wear mechanisms are proposed.
• A quantitative characterization model is proposed for evaluating the behaviors of multi-domain features and signal ...

The condition of cutting tool in the high-performance machining of aerospace Ti6Al4V thin-walled parts is a key factor in determining service performance and productivity. However, the complex dynamic characteristics of thin-walled cutting ...

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Patient-specific 3D computational fluid dynamics (CFD) simulations have been used previously to identify the impact of injection parameters (e.g. injection location, velocity, etc.) on the particle distribution and the tumor dose ...

• Patient-specific computational fluid dynamics models can predict tumor dose.
• Since these models are costly, we evaluated different simplification strategies.
• Mesh coarsening is the optimal simplification strategy.
• We reached 60 ...

Digital twins provide insights into physical objects by serving as advanced virtual representations. Their sensors capture detailed information about an object’s functionality through their use of various sensors. It is possible to gain a deep ...

In this paper, we propose a blockchain-based crowdsourcing framework leveraging Digital Twins (DTs) and dynamic Non-Fungible Tokens (NFTs) for a transparent last-mile delivery. Existing works propose package delivery through crowdsourced workers ...

• Blockchain-based crowdsourcing framework for transparent task allocation in last-mile delivery.
• Digital Twins autonomously and transparently monitor the quality of last-mile package delivery.
• Feedback system using Digital Twins ...

Recent years have witnessed the emergence of digital twins in the industrial metaverse, significantly transforming sectors such as manufacturing, automotive, oil and gas, and gaming. As a result, these sectors have experienced increased ...

• Potential of NFTs in industrial Metaverse built on digital twins.
• NFTs for monetization, traceability, and ownership of digital assets.
• Application of dynamic and composable NFTs in use cases for industrial Metaverse.
• Design, ...

In this study, we introduce PlantSegNet, a novel neural network model for instance segmentation of nearby objects with similar geometric structures. Our work addresses the challenges of instance segmentation of plant point clouds, including the ...

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• A pipeline for generating procedural sorghum models, which we use to generate point clouds of sorghum fields.
• A large-scale, annotated, and synthetic dataset of sorghum plants.
• PlantSegNet model, a neural network structure for ...

Simulation-based testing represents an important step to ensure the reliability of autonomous driving software. In practice, when companies rely on third-party general-purpose simulators, either for in-house or outsourced testing, the ...

Model-based damage identification for structural health monitoring (SHM) remains an open issue in the literature. Along with the computational challenges related to the modeling of full-scale structures, classical single-model structural ...

• To identify objects in aircraft monitoring systems poses significant challenges due to the presence of extreme loading conditions.
• Enhanced by incorporating analytical representations resulting in the provision of zero-point twin ...

Identifying objects in aircraft monitoring systems poses significant challenges due to the presence of extreme loading conditions. Despite the presence of several sensor units, the transmission of precise data to multiple data units is hindered ...