Resource-Constrained EXtended Reality Operated With Digital Twin in Industrial Internet of Things

IEEE Open Journal of the Communications Society, Journal Year: 2024, Volume and Issue: 5, P. 928 - 950

Published: Jan. 1, 2024

EXtended Reality (XR) alongside the Digital Twin (DT) in Industrial Internet of Things (IIoT) emerges as a promising next-generation technology. Its diverse applications hod potential to revolutionize multiple facets Industry 4.0 and serve cornerstone for rise 5.0. However, current systems are still not effective providing high-quality experience users due various factors, one which is their limited resources processing transmitting complex data big data. To overcome these challenges, this paper presents an in-depth analysis performance optimization techniques resource-constrained Augmented (AR) and/or Virtual (VR) environments operating with DT, specific focus on Quality Service (QoS), Experience (QoE), Edge-Cloud architectures future research directions. Furthermore, study delves into intricate trade-off relationships involving including system quality, information QoE. In addition, it also explores solutions based powerful emerging technological tools, compression, blockchain, cloud computing, quantum Artificial Intelligence (AI) / Machine Learning (ML), cybersecurity Cyber-Physical Systems (CPS). The insights provided comprehensive survey can inspire guide researchers industrial practitioners optimizing XR DT Smart Manufacturing System (SMS).

Language: Английский

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Safety-efficiency integrated assembly: The next-stage adaptive task allocation and planning framework for human–robot collaboration

Robotics and Computer-Integrated Manufacturing, Journal Year: 2025, Volume and Issue: 94, P. 102942 - 102942

Published: Jan. 7, 2025

Language: Английский

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Expert Judgment and Uncertainty in Sociotechnical Systems Analysis

Studies in systems, decision and control, Journal Year: 2024, Volume and Issue: unknown, P. 487 - 530

Published: Jan. 1, 2024

Language: Английский

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Human centric innovation at the heart of industry 5.0 – exploring research challenges and opportunities

International Journal of Production Research, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 33

Published: March 2, 2025

Language: Английский

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From Food Industry 4.0 to Food Industry 5.0: Identifying technological enablers and potential future applications in the food sector

Comprehensive Reviews in Food Science and Food Safety, Journal Year: 2024, Volume and Issue: 23(6)

Published: Oct. 22, 2024

Abstract Although several food‐related fields have yet to fully grasp the speed and breadth of fourth industrial revolution (also known as Industry 4.0), growing literature from other sectors shows that 5.0 (referring fifth revolution) is already underway. Food 4.0 has been characterized by fusion physical, digital, biological advances in food science technology, whereas future could be seen a more holistic, multidisciplinary, multidimensional approach. This review will focus on identifying potential enabling technologies harnessed shape coming years. We state‐of‐the‐art studies use innovative various agriculture applications over last 5 In addition, opportunities challenges highlighted, directions conclusions drawn. Preliminary evidence suggests outcome an evolutionary process not revolution, often claimed. Our results show regenerative and/or conversational artificial intelligence, Internet Everything, miniaturized nanosensors, 4D printing beyond, cobots advanced drones, edge computing, redactable blockchain, metaverse immersive techniques, cyber‐physical systems, digital twins, sixth‐generation wireless beyond are likely among main driving 5.0. framework, vision, value becoming popular research topics academic fields, agri‐food sector just started embrace some aspects dimensions

Language: Английский

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Sustainable Supply Chain Management and Industry 5.0

Advances in logistics, operations, and management science book series, Journal Year: 2024, Volume and Issue: unknown, P. 172 - 197

Published: June 5, 2024

This chapter seeks to explore the intricate relationship between sustainable supply chain management and Industry 5.0, emphasizing broader context of development. By examining challenges opportunities arising from technological advancements in artificial intelligence, automation, big data, internet things, aims shed light on how practices can align with economic, social, environmental sustainability values amid intensification socio-environmental issues increasing prevalence 5.0.

Language: Английский

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Towards sustainable industry 4.0: A survey on greening IoE in 6G networks

Ad Hoc Networks, Journal Year: 2024, Volume and Issue: 165, P. 103610 - 103610

Published: Aug. 30, 2024

Language: Английский

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Potential of Satellite-Airborne Sensing Technologies for Agriculture 4.0 and Climate-Resilient: A Review

IEEE Sensors Journal, Journal Year: 2023, Volume and Issue: 24(4), P. 4161 - 4180

Published: Dec. 21, 2023

Agriculture 4.0 offers the potential to revolutionize agriculture sector through improved productivity and efficiency. However, adopting requires a period of transition effort. Satellite-airborne sensing technologies may become an opening enabler technology this new paradigm due its fast deployment process flexible infrastructure. This article provides overview technology, trends, challenges, opportunities in climate-resilient technologies. The research covers critical enabling such as low-altitude platforms (LAPs) (i.e., drones tethered balloons), high-altitude (HAPs) airships, HAPs balloons, aircraft), satellites, well recent advancements data processing digital twins (DT), with some examples from agricultural projects. Furthermore, explores challenges technological satellite-airborne Finally, for purposes. guide Industry by leveraging network

Language: Английский

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Empowering Dataspace 4.0: Unveiling Promise of Decentralized Data-Sharing

IEEE Access, Journal Year: 2024, Volume and Issue: 12, P. 112637 - 112658

Published: Jan. 1, 2024

Language: Английский

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Integrated Cloud-Twin Synchronization for Supply Chain 5.0

EAI Endorsed Transactions on Industrial Networks and Intelligent Systems, Journal Year: 2025, Volume and Issue: 12(2)

Published: March 12, 2025

The digital twin is thus emerging means of improving real-world performance from virtual spaces, especially relatedto Supply Chain 5.0 in Industry 5.0. This framework employs the integration cloud computing and technologies to secure data storage, trusted tracking, high reliability, architectural for supply-chain sustainable enterprises. In this work, we introduce a level architecture cloud-based model supply chain , which was created align system through real-time observation as well real-timesupply decision-making control. study introduces optimization 5.0, validated genetic algorithm (GA) simulations. determines optimal weights balance objectives, achieving an objective function value that reflects trade-offs among operational efficiency, cost, sustainability. A convergence plot illustrates model’s iterative solution improvements, demonstrating its dynamic adaptability. Lastly, proposed defines test analysis

Language: Английский

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