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 System Identification at the Extreme Edge for Network Load Reduction in Vibration-based Monitoring Result title System Identification at the Extreme Edge for Network Load Reduction in Vibration-based Monitoring
 ToF/Radar Early Feature-Based Fusion System for Human Detection and Tracking Result description publisher: Joint 11th International Conference on Soft Computing and Intelligent Systems and 21st International Symposium on Advanced Intelligent SystemsPublished year: 2020
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 Fracture mechanics based assessment of manufacturing defects laying at the edge of CFRP-metal bondlines Result title Fracture mechanics based assessment of manufacturing defects laying at the edge of CFRP-metal bondlines
 RP 3.6 Services for continuous evaluation and mitigation of manufacturing risks Taxon description Furthermore, tools to model KRI (Key Risk Indicators) and rendering these (through push notifications) on mobile devices of decision makers through dedicated mobile computing infrastructure are required
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Description REEMAIN combines cutting edge knowledge and experience from production processes, professional energy simulation, energy and resource planning, and renewable energy and storage to develop and demonstrate
 RP 3.4 Energy monitoring and management in future manufacturing enterprises Taxon description Future distributed computing deployments, such as the cloud, should be leveraged to upload enterprise-specific energy consumption information for obtaining compliance certificates from regulatory bodies
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Description The objective of PREVIEW is to develop a Cyber Physical System (CPS) for plastic injection manufacturing processes monitoring, control and optimization, by incorporating several innovative and cutting edge
 RP 3.7 On-demand modular and replicative models for faster factory initialisation Taxon description In order to render these complex ontology based replicative factory models, state of the art in high-performance computing in the cloud should be leveraged for the benefit of SMEs and large enterprises
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Description Industrial Robotics is the strategic technology needed to keep the European Manufacturing leading edge, unfortunately it is intrinsically energy intensive, and its massive adoption compromises factories
 RP 3.4 Energy monitoring and management in future manufacturing enterprises Taxon description Future distributed computing deployments, such as the cloud, should be leveraged to upload enterprise-specific energy consumption information for obtaining compliance certificates from regulatory bodies