Challenges and Opportunities in Applied System Innovation

doi:10.3390/books978-3-0365-4402-1

Download Url(s)

https://mdpi.com/books/pdfview/book/5657

Contributor(s)

Douligeris, Christos (editor)

Language

English

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Abstract

This book introduces and provides solutions to a variety of problems faced by society, companies and individuals in a quickly changing and technology-dependent world. The wide acceptance of artificial intelligence, the upcoming fourth industrial revolution and newly designed 6G technologies are seen as the main enablers and game changers in this environment. The book considers these issues not only from a technological viewpoint but also on how society, labor and the economy are affected, leading to a circular economy that affects the way people design, function and deploy complex systems.

URI

https://directory.doabooks.org/handle/20.500.12854/87469

Keywords

Industry 4.0; cognitive manufacturing; cognitive load; human–computer interaction; 6GIIoE priorities; 6GIIoE challenges; 6GIIoE applications; information system; sequential methodology; 6GIIoE theoretical framework; circular economy; circular building; implementation strategies; design strategies; circular resource flows; digital twin; digital model; system optimization; predictive maintenance; artificial and human intelligence; security; risks and risk management; quality of life; common welfare; socio-political assessment; assembly; process planning systems; concurrent engineering; automotive industry applications; manufacturing industry applications; artificial intelligence; sustainable development; construction; civil engineering; machine learning; construction engineering; cognitive data intelligence; cognitive healthcare; tiny machine learning; 6GCIoHE theoretical framework; data science; statistical data processing; predictive analytics; classification; clustering; labor productivity; health management; health-saving strategies; electric power industry; bridge; expansion joint; joint gap; smart bridge maintenance equipment; sensor; structural health monitoring; line-scan camera; machine vision; change management; COVID-19; decision-support model; digitization; employee motivation; employee satisfaction; human resources; software tool