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Andrea Guerriero
Ruolo
Professore Associato
Organizzazione
Politecnico di Bari
Dipartimento
Dipartimento di Ingegneria Elettrica e dell'Informazione
Area Scientifica
Area 09 - Ingegneria industriale e dell'informazione
Settore Scientifico Disciplinare
ING-INF/05 - Sistemi di Elaborazione delle Informazioni
Settore ERC 1° livello
PE - Physical sciences and engineering
Settore ERC 2° livello
PE6 Computer Science and Informatics: Informatics and information systems, computer science, scientific computing, intelligent systems
Settore ERC 3° livello
PE6_1 Computer architecture, pervasive computing, ubiquitous computing
Smart Community is a geographical area that can cover neighborhood, urban, regional, national area whose residents, organizations, and governing institutions are using Information and Communications Technologies (ICT) to transform their region, life and work in significant and fundamental ways. Its aim is to facilitate the construction of a pervasive, high speed communications system and information services that will benefit all sectors of the community: education, healthcare, local government and business. Processing and receiving in real-time information by all the other community members, citizens themselves become distributed intelligent probe and actors on the Community area to make better decisions and enhance the quality of life and improve local economy producing enduring benefits. This work shows how Smart Communities and Mobile Wireless Sensor Networks (MWSN) can play an increasingly vital role in a healthcare system, improving citizens’ health, reducing mobility costs and user’s carbon footprint. The system architecture and the visual interface prototype of a Collaborative Health Navigation System, will be discussed.
Accurate pollution monitoring in urban environment requires an extremely large number of measurement station. The very complex 3D structure of urban area and its fluid dynamic behavior cause to be necessary very dense sampling grid to evaluate quantitative pollution indexes that can be correlated to real observed health effects or to obtain accurate pollution trend analysis. In order to reduce the high building cost and the management complexity of these high density monitoring grids, some papers proposed mobile monitoring stations to piggyback on public buses obtaining more dense sampling grid with fewer stations. In this paper we propose an Health Navigation System application for smartphone, based on a network of low cost, high precision, miniaturized wireless mobile monitoring system that can be easily embedded on bike frame. The mobile network makes available an accurate pollution urban map to our Navigation System that bikers can use to determine the healthiest route.
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