NEWS
The Workshop Agreement is the result of the initiative of AFNOR, IEEE and VDE to identify the needs for standardization about the concept of Digital Sovereignty in the European context.
This CEN Workshop Agreement (CWA) specifies the requirements for acquiring digital information from victims during a search and rescue SAR operations. Furthermore, it establishes requirements of digital victim tracking systems during a search and rescue mission. Furthermore, it establishes requirements of digital triaging during a search and rescue mission regarding the categories of safety, usability, data protection, security and system compatibility.
The aim of this proposed Workshop is to provide a standardised set of consistent guidelines for handling coordinate systems, official fixpoints, surveying points and markers used in construction projects and on site for BIM construction projects.
This CEN Workshop Agreement specifies an operational process for biogas bioconversion into ectoine, the extraction of the ectoine from the resulting solution and its purification.
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.