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Current Research Projects

 

REnaissance of Places with Innovative Citizenship and Technolgy
REPLICATE (2016 - 2021)

The objective of REPLICATE is to demonstrate Smart City technologies in energy, transport and ICT in districts in San Sebastia, Florence and Bristol addressing urban complexity and generate replication plans in other districts and infollower cities of Essen, Nilufer and Lausanne.Main challenges for cities are to increase the overall energy efficiency, to exploit better local resources in terms of energy supply and demand side measures. For successful implementation of Smart City technologies two main elements areconsidered:- Cities are the customer: considering local specificities in integrated urban plans and the need to develop monitoring systems to extract conclusions for replication.- Solutions must be replicable, interoperable and scalable.REPLICATE considers also the complexity of cities, the tangible benefits for citizens, the financial mechanisms and the new business models. The 3 pillars implemented in the pilots with the engagement of citizens, private actors and authorities are:- Low energy districts: cost-effective retrofitting, new constructive techniques with optimal energy behaviour and highenthalpy RES in residential buildings. Include also efficient measures in public and residential buildings: ICT tools, PV, shading or natural ventilation; district heating is demonstrated hybridising local biomass, recovered heat and natural gas.- Integrated Infrastructure: deployment of ICT architecture, from internet of things to applications, to integrate the solutions in different areas. Smart Grids on electricity distribution network to address the new challenges, connecting all users:consumers, producers, aggregators and municipality. Intelligent lighting will allow automated regulation of the amount of light and integration of IP services via PLC.- Urban mobility: sustainable and smart urban bus service, electric urban bike transport, 3-wheeler delivery and transport services, deployment of EV charging infrastructures and ICT tools.

Wireless Autonomous, Reliable and Resilient ProductIon Operation ARchitecture for Cognitive Manufacturing
AUTOWARE (2016 - 2019)

Current practice is such that a production system is designed and optimized to execute the exact same process over and over again. The planning and control of production systems has become increasingly complex regarding flexibility and productivity, as well as the decreasing predictability of processes. The full potential of open CPS has yet to be fully realized in the context of cognitive autonomous production systems. SMEs face additional challenges to the implementation of “cloudified” automation processes. While the building blocks for digital automation are available, it is up to the SMEs to align, connect and integrate them together to meet the needs of their individual advanced manufacturing processes. Moreover, SMEs face difficulties to make decisions on strategic automation investments that will boost their business strategy. AUTOWARE objective is to build three distinct pillars to form a multi-sided ecosystem. (1) From the BeinCPPS, leverage a reference architecture (fully aligned with CRYSTAL and EMC2 CPS design practices and ARROWHEAD cloudification approach) across I4MS competence domains (cloud,CPPS, robotics), acting as a glue that will attract potential users and developers to a friendly ecosystem for business development, more efficient service development over harmonized architectures (smart machine, cloudified control, cognitive planning- app-ized operation). (2) To leverage a number of SME enablers; e.g. augmented virtuality, reliable wireless communications, CPPS trusted auto-configuration, smart data distribution and cognitive planning to ease cognitive autonomous systems. Finally, to leverage digital automation investments. AUTOWARE brings together the best of breed ARTEMISIA/ECSEL platforms, I4MS innovation, SAFIR business platforms and neutral experimental sites (robotics & process). AUTOWARE assets will be evaluated in two industrial pilots, PWR and SCM, and will offer well established industry and start-ups new business opportunities.

INTESA

Servizi Ict iNTegrati per il bEnessere di Soggetti frAgili
INTESA (2016 - 2018)

Il progetto, finanziato dalla regione Toscana all’interno del programma FAR-FAS 2014, si colloca nel settore applicativo delle tecnologie ICT innovative e non invasive per lo sviluppo di servizi personalizzati mirati al miglioramento della qualità della vita in soggetti fragili. I servizi proposti si basano sull’uso di tecnologie sensoristiche, indossabili ed ambientali, oltre all’uso di dispositivi mobili personali, per l’identificazione del livello di benessere di un soggetto da un punto di vista funzionale, clinico, cognitivo e psico-affettivo, monitorandone i comportamenti su breve e lungo termine e fornendo opportuni stimoli e feedback per il miglioramento della propria qualità della vita. I dati raccolti dai vari servizi saranno integrati in un sistema informativo centralizzato per la caratterizzazione del soggetto attraverso opportuni protocolli di comunicazione e politiche di sicurezza e privacy dei dati.

SOCIALIZEME

SocializeMEi
SOCIALIZEME (2016 - 2018)

SocializeME è un progetto co-finanziato dalla Fondazione Cassa di Risparmio di Lucca all’interno del bando Ricerca 2016-2017, che vede il coinvolgimento di due istituti del CNR di Pisa (IIT e ISTI) e il Polo scientifico tecnico professionale E.Fermi – G.Giorgi di Lucca.
Lo scopo di SocializeME è quello di dimostrare l’efficacia dell’uso di tecnologie ICT (tecnologie dell’informazione e della comunicazione) per stimolare, favorire e studiare fenomeni sociali complessi che sono di interesse per la comunità, come lo studio delle dinamiche di interazione sociale tra studenti e docenti in ambiente scolastico.

SoBigData Research Infrastructure
SOBIGDATA (2015 - 2019)

One of the most pressing and fascinating challenges scientists face today, is understanding the complexity of our globally interconnected society. The big data arising from the digital breadcrumbs of human activities promise to let us scrutinize the ground truth of individual and collective behaviour at an unprecedented detail and scale. There is an urgent need to harness these opportunities for scientific advancement and for the social good. The main obstacle to this accomplishment, besides the scarcity of data scientists, is the lack of a largescale open infrastructure, where big data and social mining research can be carried out.To this end, SoBigData proposes to create the Social Mining & Big Data Ecosystem: a research infrastructure (RI) providing an integrated ecosystem for ethic-sensitive scientific discoveries and advanced applications of social data mining on the various dimensions of social life, as recorded by “big data”.Building on several established national infrastructures, SoBigData will open up new research avenues in multiple research fields, including mathematics, ICT, and human, social and economic sciences, by enabling easy comparison, re-use and integration of state-of-the-art big social data, methods, and services, into new research. It will not only strengthen the existing clusters of excellence in social data mining research, but also create a pan-European, inter-disciplinary community of social data scientists, fostered by extensive training, networking, and innovation activities. In addition, as an open research infrastructure, SoBigData will promote repeatable and open science.Although SoBigData is primarily aimed at serving the needs of researchers, the openly available datasets and open source methods and services provided by the new research infrastructure will also impact industrial and other stakeholders (e.g. government bodies, non-profit organisations, funders, policy makers).

Easily diStributed Personal RapId Transit
ESPRIT (2015 - 2018)

Today, transportation both to/from city-centres and within peri-urban areas, is unsatisfactory in terms of congestion, environmental and societal aspects. To answer identified needs, the Easily diStributed Personal RapId Transit (ESPRIT) project aims to develop a purpose-built, light weight L6 category electric vehicle that can be stacked together to gain space. Thanks to pioneering coupling systems, up to 8 ESPRIT vehicles can be nested together in a road train, 7 being towed for an efficient redistribution of fleets and a smartly-balanced and cost efficient transport system. Within the project, 2 user scenarios are foreseen: a one-way carsharing system within city centres and a last-kilometre personal mobility system to existing public transport infrastructures in peri-urban areas. These will be tested through 3 different geographical use cases (Glasgow, Lyon and L’ L’Hospitalet de LLobregat near Barcelona). This innovative transport system concept will be demonstrated to TRL5 though state-of-the-art developments of diverse technological bricks (including vehicle and road train architecture, coupling and guiding systems, kinetic and dynamic behaviour management systems, efficient energy supply and rapid charge battery strategies). To prove the ESPRIT concept, the project will also work on modelling and simulation tools to predict, once ESPRIT vehicles are deployed, the economic, social and environmental benefits as well as key operating strategies. This concept will incite citizens to use public transport and carsharing solutions rather than their private vehicles leading to seamless intermodal transport, decongestion, significant reduction of noise and air pollution. To reach all stakeholders, the ESPRIT project will not only rely on its technical expertise but also on the knowledge and network of its end user community represented by several partners as well as the Advisor Board which includes carsharing organisations, public authorities and transport operators.