[PDF][PDF] Toward an anthropocentric approach for intelligent manufacturing systems' control architectures
E Valette - PhD thesis, Universite de Lorraine, 2022 - researchgate.net
Last decades have seen the growth in size and complexity of industrial systems and flows
(both physical and informational). Hyper competitive markets, demand atomization and …
(both physical and informational). Hyper competitive markets, demand atomization and …
Producing and consuming instructional material in manufacturing contexts: evaluation of an AR-based cyber-physical production system for supporting knowledge …
S Hoffmann, AF Pinatti de Carvalho… - Proceedings of the …, 2022 - dl.acm.org
Fast-paced knowledge and expertise sharing (KES) is a typical demand in contemporary
workplaces due to dynamic markets and ever-changing work practices. Past and current …
workplaces due to dynamic markets and ever-changing work practices. Past and current …
Examining Industry 4.0 through the lens of human resource and knowledge management: Implications for SMEs
The change caused by Industry 4.0 (I4. 0) has fundamentally changed our lives and
operations of organisations. The objective of the article is to reveal whether I4. 0 …
operations of organisations. The objective of the article is to reveal whether I4. 0 …
Utilizing Active Machine Learning for Quality Assurance: A case study of virtual car renderings in the automotive industry
Computer-generated imagery of car models has become an indispensable part of car
manufacturers' advertisement concepts. They are for instance used in car configurators to …
manufacturers' advertisement concepts. They are for instance used in car configurators to …
The Roles and Modes of Human Interactions with Automated Machine Learning Systems: A Critical Review and Perspectives
As automated machine learning (AutoML) systems continue to progress in both
sophistication and performance, it becomes important to understand the 'how'and 'why'of …
sophistication and performance, it becomes important to understand the 'how'and 'why'of …
[PDF][PDF] Knowledge graph based semantic modeling for profiling in Industry 4.0
In this paper we present a framework for profiling of workers and employees in industry
setting using the camera feeds. With the incorporation of Internet of Things with Big Data and …
setting using the camera feeds. With the incorporation of Internet of Things with Big Data and …
Adapting consumer product design to the circular economy
Abstract Transition to a Circular Economy (CE) will be facilitated by information transfer
between life cycle stages, and, particularly, the transition can be accelerated at the product …
between life cycle stages, and, particularly, the transition can be accelerated at the product …
Predicting operators' fatigue in a human in the artificial intelligence loop for defect detection in manufacturing
Quality inspection, typically performed manually by workers in the past, is now rapidly
switching to automated solutions, using artificial intelligence (AI)-driven methods. This …
switching to automated solutions, using artificial intelligence (AI)-driven methods. This …
Human-in-Loop Decision-Making and Autonomy: Lessons Learnt from the Aviation Industry Transferred to Cyber-Physical Systems
In this study, we reviewed aircraft accidents in order to understand how autonomy and safety
has been managed in the aviation industry, with the aim of transferring our findings to …
has been managed in the aviation industry, with the aim of transferring our findings to …
Construction of approximate reasoning model for dynamic CPS network and system parameter identification
J Xiong, J Wu - Computer Communications, 2020 - Elsevier
Abstract CPS (Cyber Physical System) is a large and complex real-time feedback system
that integrates computing processes, physical processes, communication networks, sensor …
that integrates computing processes, physical processes, communication networks, sensor …