Blockchain for Industry 5.0: Vision, Opportunities, Key Enablers, and Future Directions DOI Creative Commons
Ashwin Verma, Pronaya Bhattacharya,

Nirav Madhani

и другие.

IEEE Access, Год журнала: 2022, Номер 10, С. 69160 - 69199

Опубликована: Янв. 1, 2022

Industry 4.0 have witnessed a paradigm shift from cyber-physical systems (CPS) that aims at massive automation, towards more customer-driven approach. The has been attributed to the design of hyper-cognitive systems, integration virtual and extended reality, digital machinery prototyping twin designs, trusted machine boundaries, collaborative robots, artificial intelligence (AI)-based supply chains. This new wave, termed 5.0, is expected leverage production with user-centric customization outside scope ecosystems. 5.0 assist diverse industrial verticals like healthcare, smart farming, drones, grids, chain However, data shared among multiple heterogeneous networks, spanning different authoritative domains. Thus, secured transfer crucial synergize secure perimeters. Blockchain (BC) preferred choice as security enabler ecosystems owing its inherent property immutability, chronology, auditability in systems. Limited works are proposed present vision holistic view BC-assisted applications. article presents first-of-its-kind survey on BC 5.0. Based descriptive methodology research questions, we presented key drivers, potential applications, propose an architectural BC-based applicative verticals. intends solutions would industry practitioners, academicians, researchers drive novel

Язык: Английский

Federated learning enabled digital twins for smart cities: Concepts, recent advances, and future directions DOI
Swarna Priya Ramu,

Parimala Boopalan,

Quoc‐Viet Pham

и другие.

Sustainable Cities and Society, Год журнала: 2022, Номер 79, С. 103663 - 103663

Опубликована: Янв. 19, 2022

Язык: Английский

Процитировано

196

Smart grids and renewable energy systems: Perspectives and grid integration challenges DOI Creative Commons
Muhammad Khalid

Energy Strategy Reviews, Год журнала: 2024, Номер 51, С. 101299 - 101299

Опубликована: Янв. 1, 2024

Язык: Английский

Процитировано

189

A VMD and LSTM Based Hybrid Model of Load Forecasting for Power Grid Security DOI
Lingling Lv, Zongyu Wu, Jinhua Zhang

и другие.

IEEE Transactions on Industrial Informatics, Год журнала: 2021, Номер 18(9), С. 6474 - 6482

Опубликована: Ноя. 24, 2021

As the basis for static security of power grid, load forecasting directly affects safety grid operation, rationality planning, and economy supply–demand balance. However, various factors lead to drastic changes in short-term consumption, making data more complex thus difficult forecast. In response this problem, a new hybrid model based on variational mode decomposition long memory with seasonal elimination error correction is proposed article. Comprehensive case studies four real-world datasets from Singapore United States are employed demonstrate effectiveness practicality model. The experimental results show that prediction accuracy significantly higher than contrast models.

Язык: Английский

Процитировано

187

Can industry 5.0 revolutionize the wave of resilience and social value creation? A multi-criteria framework to analyze enablers DOI
Rahul Sindhwani,

Shayan Afridi,

Anil Kumar

и другие.

Technology in Society, Год журнала: 2022, Номер 68, С. 101887 - 101887

Опубликована: Янв. 11, 2022

Язык: Английский

Процитировано

186

Industry 4.0 vs. Industry 5.0: Co-existence, Transition, or a Hybrid DOI Open Access
Mariia Golovianko, Vagan Terziyan, Vladyslav Branytskyi

и другие.

Procedia Computer Science, Год журнала: 2023, Номер 217, С. 102 - 113

Опубликована: Янв. 1, 2023

Smart manufacturing is being shaped nowadays by two different paradigms: Industry 4.0 proclaims transition to digitalization and automation of processes while emerging 5.0 emphasizes human centricity. This turn can be explained unprecedented challenges faced recently societies, such as, global climate change, pandemics, hybrid conventional warfare, refugee crises. Sustainable resilient require humans get back into the loop organizational decision-making. In this paper, we argue that most reasonable way marry extremes value-based human-driven create an + hybrid, which inherits valuable features both - efficiency sustainability decisions. Digital cognitive clones twinning decision-making behavior are represented as enabling technology for future accelerator (as well resilience enabler) convergence digital worlds.

Язык: Английский

Процитировано

170

Evaluating quality in human-robot interaction: A systematic search and classification of performance and human-centered factors, measures and metrics towards an industry 5.0 DOI

Enrique Coronado,

Takuya Kiyokawa, Gustavo Alfonso Garcia Ricardez

и другие.

Journal of Manufacturing Systems, Год журнала: 2022, Номер 63, С. 392 - 410

Опубликована: Апрель 1, 2022

Язык: Английский

Процитировано

169

Smart Industrial Robot Control Trends, Challenges and Opportunities within Manufacturing DOI Creative Commons
Jānis Ārents, Modris Greitāns

Applied Sciences, Год журнала: 2022, Номер 12(2), С. 937 - 937

Опубликована: Янв. 17, 2022

Industrial robots and associated control methods are continuously developing. With the recent progress in field of artificial intelligence, new perspectives industrial robot strategies have emerged, prospects towards cognitive arisen. AI-based robotic systems strongly becoming one main areas focus, as flexibility deep understanding complex manufacturing processes key advantage to raise competitiveness. This review first expresses significance smart future factories by listing needs, requirements introducing envisioned concept robots. Secondly, current trends that based on different learning explored. Current computer-vision, reinforcement imitation approaches possible applications investigated. Gaps, challenges, limitations open issues identified along way.

Язык: Английский

Процитировано

168

Is Industry 5.0 a Human-Centred Approach? A Systematic Review DOI Open Access
Joel Alves, Tânia M. Lima, Pedro Dinis Gaspar

и другие.

Processes, Год журнала: 2023, Номер 11(1), С. 193 - 193

Опубликована: Янв. 7, 2023

Industry 5.0 presents itself as a strategy that puts the human factor at centre of production, where well-being worker is prioritized, well more sustainable and resilient production systems. For centricity, it necessary to empower beings and, respectively, industrial operators, improve their individual skills competences in collaboration or cooperation with digital technologies. This research’s main purpose distinguishing point are determine whether truly human-oriented how centricity can be created that, this systematic literature review article analyses clarifies concepts ideologies its respective technologies (Artificial Intelligence, Robotics, Human-robot collaboration, Digitalization), strategies aim achieving systems, especially for worker.

Язык: Английский

Процитировано

159

Employment 5.0: The work of the future and the future of work DOI Creative Commons
Oluwaseun Kolade, Adebowale Owoseni

Technology in Society, Год журнала: 2022, Номер 71, С. 102086 - 102086

Опубликована: Авг. 21, 2022

This systematic review brings together the collection of recent scholarly outputs on disruptive impact digital transformation work. paper draws from a sample 68 2011 to 2022. We identify three key theoretical perspectives: socio-technical systems theory, skill-biased technological change, and political economy transformation. The articles provide complementary insights cross-cutting themes unemployment, wage inequality job polarization. They also highlight often conflicting views about technology ownership, work-less utopia, education reforms imperative human-centricity in appropriation technology. Drawing findings across whole spectrum analytical perspectives, we offer critical reflections factors that will define work future, terms skills, creativity opportunities for autonomous workers. discuss institutional processes shape future Finally, recommendations research policy interventions.

Язык: Английский

Процитировано

146

Blockchain—Internet of Things Applications: Opportunities and Challenges for Industry 4.0 and Society 5.0 DOI Creative Commons
Amit Kumar Tyagi, Sathian Dananjayan,

Deepshikha Agarwal

и другие.

Sensors, Год журнала: 2023, Номер 23(2), С. 947 - 947

Опубликована: Янв. 13, 2023

Today, blockchain is becoming more popular in academia and industry because it a distributed, decentralised technology which changing many industries terms of security, building trust, etc. A few applications are banking, insurance, logistics, transportation, Many insurance companies have been thinking about how could help them be efficient. There still lot hype this immutable technology, even though has not utilised to its full potential. Insurers decide whether or use blockchain, just like other businesses do. This keeps distributed ledger on each node, making secure transparent. The network can operate smart contracts convince others agree, so criminals cannot make mistakes. On another side, the Internet Things (IoT) might real-time application work faster through automation. With integration IoT, there will always problem with regarding IoT devices mining blockchain. paper gives view blockchain-IoT-based for Industry 4.0 Society 5.0. last sections discuss essential topics such as open issues, challenges, research opportunities future researchers expand applications.

Язык: Английский

Процитировано

143