The project aims to improve the refurbishing processes through technology, automatization and standardization of operations as well as integrating the environmental indicators that allows to communicate the benefits of refurbished products.
The objective of this strategic project is to apply new biotechnological tools and agronomic technologies to improve the european forestry sector.
Biotic4.0 will pursuit to obtain a complete, intelligent, autonomous and low cost control system (prototype) to be installed in injection moulding machines that will be able to discretize the production (lots and parts) and differentiate valid/not valid part(inspection) among other functionalities.
Smoa.Cl aims at prototyping a system for real-time in-motion analysis of hydraulic oils and engines in mining transport and machinery.The system will act in real working conditions collecting relevant data that will be centralised and processed through mathematical models for early failure diagnosis
The present project aims to the development of a platform for medical decision making from the integration of clinical data, massive sequencing of exomas and metabolic of the analysis of liquid biopsies of patients with breast cancer with a computational system to improve the precision medicine
Seebee aims at the development of new smart home objects fully integrated in the building elements, such as walls and wood panels. Smart sensors and actuators for optimal control of room temperature and lightning will be developed and integrated based on flexible electronics technologies.
The overall objective of the project is designing and developing novel coloured and luminescent masterbatches that can be used in processes of injection, extrusion-blowing, extrusion, film and 3d printing. Demonstrators of real parts by using these masterbatchs (matrices/colours) will be obtained.
Smart aim is to boost the competitiveness, growth and attractiveness of the european discrete manufacturing industries through the promotion of r&d&i in an open community of large industries, smes, rtos, academia and user organizations.
Current methods of gluten determination in food are based on non automatic, time consuming, poorly standardized and expensive elisa assays. We propose an immunoassay based on agglutination of microparticles, resulting in a more standardized, reliable, automatic and nonexpensive method of detection.