Potential for combining semantics and data analysis in the context of digital twins
Modern production systems can benefit greatly from integrated and up-to-date digital
representations. Their applications range from consistency checks during the design phase …
representations. Their applications range from consistency checks during the design phase …
Interdisciplinary engineering of cyber-physical production systems: highlighting the benefits of a combined interdisciplinary modelling approach on the basis of an …
In the context of cross-disciplinary and cross-company cooperation, several challenges in
developing manufacturing systems are revealed through industrial use cases. To tackle …
developing manufacturing systems are revealed through industrial use cases. To tackle …
A Scoping Review of Mental Model Research in HCI from 2010 to 2021
Research on mental models has been ongoing in Human-Computer Interaction (HCI) since
the 1980s. A mental model derives from humans' perception, memories, knowledge, and …
the 1980s. A mental model derives from humans' perception, memories, knowledge, and …
Requirements analysis for an intelligent workforce planning system: a socio-technical approach to design AI-based systems
Artificial Intelligence (AI)-based applications promise great potential benefits for companies.
However, an isolated consideration of the technical system is not sufficient for the design …
However, an isolated consideration of the technical system is not sufficient for the design …
Extended rationale-based model for tacit knowledge elicitation in requirements elicitation context
The Requirements elicitation involves knowledge intensive and collaborative activities.
Requirements engineering research has proposed a range of knowledge elicitation and …
Requirements engineering research has proposed a range of knowledge elicitation and …
Operator knowledge inclusion in data-mining approaches for product quality assurance using cause-effect graphs
Product quality is one of the crucial factors influencing customer satisfaction and loyalty, and
of course, a company's reputation in general. A high quantity of non-conforming products …
of course, a company's reputation in general. A high quantity of non-conforming products …
[PDF][PDF] Categorization errors for data entry in maintenance work-orders
T Sexton, M Hodkiewicz… - Proceedings of the …, 2019 - pdfs.semanticscholar.org
Manufacturing is seeing a significant push toward digitization of processes and decision
making. This push is enabled by the increased availability of data. Yet the work of the …
making. This push is enabled by the increased availability of data. Yet the work of the …
Organizing tagged knowledge: similarity measures and semantic fluency in structure mining
Recovering a system's underlying structure from its historical records (also called structure
mining) is essential to making valid inferences about that system's behavior. For example …
mining) is essential to making valid inferences about that system's behavior. For example …
Unconsidered Installations: Discovering IoT Deployments in the IPv6 Internet
M Dahlmanns, F Heidenreich… - NOMS 2024-2024 …, 2024 - ieeexplore.ieee.org
Internet-wide studies provide extremely valuable insight into how operators manage their
Internet of Things (IoT) deployments in reality and often reveal grievances, eg, significant …
Internet of Things (IoT) deployments in reality and often reveal grievances, eg, significant …
Product quality monitoring in hydraulic presses using a minimal sample of sensor and actuator data
Machine learning and artificial intelligence provide methods and algorithms to take
advantage of sensor and actuator data in automated production systems. Product quality …
advantage of sensor and actuator data in automated production systems. Product quality …