The Workshop will produce a CEN Workshop Agreement (CWA) which will define a technical/methodological framework for human-robot collaboration (HRC) systems that integrates planning, perception, and communication.
The Workshop will produce a CEN-CENELEC Workshop Agreement (CWA) for a set of protocols to ensure a standardised and formalised selection of processes for Modernising, Refurbishing, Repair, Remanufacturing, and Upgrading of Large Industrial Equipment.
'Career tracking' has become increasingly recognized as a necessary monitoring tool to map PhD graduate career paths and evaluate the PhD skills training. It is useful and efficient tool for producing high-quality data concerning PhD employability and it also fosters increasing interaction with and exposure to the non-academic sector.
The application of Industry 4.0 technological advances along the production process chain is driving a substantial transformation of manufacturing quality management systems. The pervasive presence of sensors in products and processes and the widespread availability of technologies to integrate and transform these data into valuable insights enable the detection and prediction of manufacturing defects with great speed and prediction.
While time is an important factor for successful outcome of the crime investigation, the traditional forensic examinations are usually time consuming. It can be very problematic when investigations are underway and quick results are needed. Traces must be detected on-site as soon as possible before they degrade and loose forensic information important for criminal investigation.
The planned CEN Workshop Agreement will define guideline for establishing and executing an instrumental-based approach for data collection regarding human load during the execution of MMH activities, both with and without HRC technologies support. The guideline will describe all necessary requirements and procedures to be used for recording and monitoring data leading to a quantitative risk assessment.
The Workshop will produce a CEN Workshop Agreement (CWA) which will define guidelines for a unified technological framework consisting of the integration of planning, perception, and communication in human-robot collaboration (HRC) systems.
Industrial processes are often energy-intensive and the need for their efficient decarbonization is now at the forefront of governmental and corporate policies worldwide. However, solutions for the green transition of the industrial sector should be flexible, widely applicable, and reliable. Two-thirds of industrial energy consumption is related to heating and cooling processes and is becoming a major environmental problem. The integration of renewable thermal energy sources at industrial sites is therefore crucial.
Although good catalysts for nODH of alkanes have already been provided, there is still a need of additional ones with high catalytic conversion, activity and selectivity, and/or with a catalytic conversion. The selection of certain metals in combination with other elements, all of them stabilized with particular organic compounds and adsorbed on porous supports, gave rise to highly active catalytic surface areas that, in addition, not only are selective for propene selectivity in nODH, but also are highly stable and free from the main drawbacks of other catalysts for the same reaction (i.e. coke formation, by-side deactivating reactions, etc.).
This CEN Workshop Agreement (CWA) provides orientation for the management of building retrofitting projects, based on enhanced shallow geothermal technologies, in form of guidelines for the classification of an integrated design team and the identification of the primary roles of actors among the whole project life-cycle.