Energy efficiency in the building sector through intelligent energy management is a key measure for the global reduction of greenhouse gas emitted by this sector and additionally facilitates user costs reduction in the context of growing energy prices and harshness of natural resources.The KnoholEM project's aim is the engineering of an intelligent energy management solution that will considerably reduce energy consumption, both by systematically avoiding energy wasting in buildings and by knowledge-based holistic optimization of energy consumption. The solution will be applicable and configurable for a broadband of building types from any EU region.The intelligent energy management solution will be based on existing knowledge representation technologies like functional modeling and ontology, which will be used in the context of smart buildings in combination with Building Automation Systems. It will be enhanced by energy consumption behavior simulation with realistic visualization assistance. Approaches previously developed by the project partners will be integrated into a holistic intelligent energy management solution.The focus of the project will not be on development, but on detailed analysis and validation. KnoholEM includes four types of demonstration objects in Spain and the Netherlands that will be used by the consortium of industry and research partners to develop, enhance and extensively test the solution. An overall knowledge base will be created through a detailed analysis of the structure of the demonstration object buildings and their energy consuming/producing devices, through the intelligent interlinking of building usage with its energy demand, as well as by various energy consumption behavior simulations.Through the knowledge accumulated within the extended validation phase, KnoholEM will facilitate up to 30% of energy savings, depending on the building. The 13 partners from 6 countries will ensure an efficient and inexpensive EU-wide application of the results after the end of the project.

MYCORED aims at developing strategic solutions to reduce contamination by mycotoxins of major concern in economically important food and feed chains. The following toxins and commodities are especially considered in the project: aflatoxins, trichothecenes, zearalenone, fumonisins in wheat/maize food and feed chains; ochratoxin A in the grape-wine and wheat chains; and aflatoxins in the dried fruit chain. Novel methodologies, efficient handling procedures and information, dissemination and educational strategies are considered in a context of multidisciplinary integration of know-how and technology to reduce mycotoxins exposure worldwide. Five work-packages (WPs) will develop novel solution driven strategies to reduce both pre-and post-harvest contamination in feed and food chains. They involve: i) optimization of plant resistance and fungicide use; ii) biocontrol to reduce toxigenic fungi in cropping systems, iii) predictive modelling and optimise logistics; iv) novel post-harvest and storage practices and v) application of new food processing technologies. Two horizontal WPs will develop enabling methodologies for i) advanced diagnostics and quantitative detection of toxigenic fungi and ii) rapid and multi-toxin detection of mycotoxins and relevant biomarkers. The project will significantly build on the outcome of several European projects (through most coordinators/partners of FP5 and FP6) on mycotoxins by supporting, stimulating and facilitating education and cooperation with countries having major mycotoxin concerns related to (international) trade and human health. The direct involvement of ICPC countries (Argentina, Egypt, Russia, South Africa, Turkey) and international organizations (CIMMYT,IITA) together with strong alliances with major research institutions in the USA (3 USDA Centers/5 Universities), Australia, Malaysia will strengthen the project through sharing experiences and resources from several past/ongoing mycotoxin projects in a global context.

Programma d'investimento congiunto con STMicroelectronics S.r.l., Matrix S.p.A. ed il Consorzio Cetma. Il progetto offre all'utente un nuovo concetto di "elettrodomestico/termodomestico in rete", capace di fornire facilità d'uso, benessere e risparmio ecocompatibile. Utilizzando e "personalizzando" le migliori tecnologie elettroniche ed informatiche,tale progetto pone l'attenzione su l'integrazione delle funzioni e delle applicazioni nel 'sistema casa', spostando il focus su di un livello di astrazione superiore, ovvero su quello delle applicazioni presenti all'interno dei singoli elettrodomestici/termo domestici e, di conseguenza, sui metodi e sugli strumenti per la loro progettazione, ritenendo che l'adozione di piattaforme progettuali ed operative comuni possa sicuramente facilitare il raggiungimento degli obiettivi di una reale interoperabilità, di un time-to-market sempre più ridotto, di una riduzione dei costi complessivi, e, quindi, caratterizzare sempre di più l'"elettrodomestico intelligente" come prodotto Made-In-Italy.

Il progetto BAITAH individua le tecnologie ICT e di ambient intelligence come soluzione utile ad estendere il periodo di tempo in cui soggetti non completamente autonomi riescono a vivere in autonomia all'interno di un ambiente domestico. BAITAH intende favorire, semplificare e accelerare il processo di passaggio dell'ambient intelligence al settore dell'elettronica e dell'informatica di consumo, rendendo di fatto pervasive le tecnologie coinvolte attraverso la identificazione e rimozione delle barriere di trasferimento tecnologico ad oggi presenti. BAITAH propone una visione sistemica che, sulla base dei bisogni e delle procedure di assistenza individuate, definisce modelli di ambient intelligence in cui le tecnologie ICT diventano pervasive e funzionali alla risoluzione delle problematiche definite.

Il progetto mira a definire e realizzare una piattaforma di "ambient intelligence" dotata di tecnologia pervasiva utile per fornire supporto, assistenza e servizi ai soggetti con carenze di autosufficienza. Ogni elemento disposto nell’ambiente costituirà un nodo di rete in grado di trasferire informazioni ad un sistema di monitoraggio e controllo che, tramite algoritmi previsionali, adeguerà la risposta dell’ambiente in funzione del contesto percepito e delle esigenze del soggetto.