The aim of this project is to develop natural bioingredients from brewing, wine/grapes yeasts biomass enriched in vitamin b (biotin), glucans and from collagen hydrolysates or solutions and silica from rice husk for processing safe cosmetics, improving thus the health and life quality of people.
Development of a new set of advanced devices for pollution agents captation due to industrial woodworking/metalworking processes. The results will permit the spread of design criteria for the environment.
The objective is to elaborate, complete, test and implement to production a system for complex monitoring of combined environmental hazards in deep mines based on modern methods of measurement, data transmission and processing.
Development of a decision support system to reduce noise emission and improve energy efficiency of fans in important applications: automotive, home appliances, commercial refrigerators and air conditioning.
Development of a new concept for a rearward-facing child safety seat in cars with an isofix attachment for children up to the age of 3.
Development of scientifically sound and technically feasible procedures to assess human exposure to electromagnetic radiation next to mobile communications base stations to fulfil the requirements of european directives.
Conception and construction of long duration self-contained breathing apparatus for emergency escapes
The project deals with finding new materials and technological developments in order to drastrically minimise noise pollution. The central role will be a 1:1 size prototype which provides the required information for future constructions.
The project consists of the integration of different technologies (dangerous substance detectors, vision systems, telematics, etc.) Into a single system able to provide an effective tool for preventing terrorist attacks in metro facilities.
Sar-drift is a system for localisation of drifting objects in the sea. Its basic principle is to predict the position of objects on the basis of environmental measurements and forecasts, using sophisticated stochastic modelling.