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Milano, Italy

Fersini E.,University of Milan Bicocca | Messina E.,University of Milan Bicocca | Archetti F.,University of Milan Bicocca | Cislaghi M.,Consorzio Milan Ricerche
Communications in Computer and Information Science | Year: 2013

The progressive deployment of ICT technologies in the courtroom, jointly with the requirement for paperless judicial folders pushed by e-justice plans, are quickly transforming the traditional judicial folder into an integrated multimedia folder, where documents, audio recordings and video recordings can be accessed via a web-based platform. Most of the available ICT toolesets are aimed at the deployment of case management systems and ICT equipment infrastructure at different organisational levels (court or district). In this paper we present the JUMAS system, stemmed from the homonymous EU project, that instead takes up the challenge of exploiting semantics and machine learning techniques towards a better usability of the multimedia judicial folders. JUMAS provides not only a streamlined content creation and management support for acquiring and sharing the knowledge embedded into judicial folders but also a semantic enrichment of multimedia data for advanced information retrieval tasks. © 2013 Springer-Verlag Berlin Heidelberg. Source


Grant
Agency: Cordis | Branch: FP7 | Program: CP | Phase: ICT-2007.6.3 | Award Amount: 3.13M | Year: 2008

The main goal of the LENVIS project is to develop an innovative collaborative decision support network for exchange of location-based environmental and health services between all stakeholders, for enhanced capacity to assess population exposure and health risks and better management of the concerned ecosystems. LENVIS will include health indicators as integral part of the environmental management.
There is a growing demand for real time and integrated environmental and health risk information. Provision of such location-based services linked to the state of the environment at particular geographical locations (addresses) is necessary for improving the quality of life of all people. This is essential for mitigation of environmental-related health threats associated to water quantity and quality, and outdoor air pollutions.
LENVIS project aims to fill the existing gap between environmental management and the health management systems. This will be done by developing a generic ICT solution that combines service-oriented-architecture (SOA) and user-centric approach (peer-to-peer network, P2P) by fusion of location-based environmental and health data, information and modelling services. This novel collaborative peer-to-peer network, as an integral part of the Single Information Space for the Environment in Europe, will be validated through test cases on fresh surface water and outdoor air quality in the Netherlands, Portugal and Italy.
LENVIS project will facilitate collaboration between different stakeholders, such as environmental protection agencies, health institutions and service providers, policy makers, citizens in general and environmental communities in Europe.


Grant
Agency: Cordis | Branch: FP7 | Program: JTI-CP-ARTEMIS | Phase: SP1-JTI-ARTEMIS-2011-7 | Award Amount: 6.70M | Year: 2012

The main objective of project e-GOTHAM is to implement a new aggregated energy demand model (based on the microgrid concept) in order to effectively integrate renewable energies sources, increase management efficiency by dynamically matching demand and supply, reduce carbon emissions by giving priority to green energy sources, raise energy consumption awareness by monitoring products and services and stimulate the development of a leading-edge market for energy-efficient technologies with new business models. e-GOTHAM will define a complete solution for microgrids in the residential, tertiary and industrial sectors that include different configurations of loads, distributed generators and energy storage components. To carry out the e-GOTHAM concept, the project will design an open architecture and develop a middleware that enables the needed communications for management and results optimisation. The challenge of the middleware produced in e-GOTHAM is to assemble a system which can ensure enough scalability, security, reliability, real time measurements and interoperability so as to lead to the development of a large-scale embedded systems network, a smart data management model, a set of models and algorithms that dynamically correlate energy-related, pollution-related, cost-related and behaviour-related patterns and a just-in-time adaptive communication model that interoperates different protocols to support seamless connectivity across the microgrid. e-GOTHAM is a market-oriented project that seeks to meet the needs of the involved market partners, especially power producers and microgrid owners, and to have an influence on consumers and on the authorities who define regulations. Finally, e-GOTHAM aims at creating an ecosystem meant to attract those relevant stakeholders who are willing to elaborate on project results so as to generate new products and services and to support the looked-for new aggregated energy demand model even beyond the project lifetime. This TA was approved by the ECSEL Joint Undertaking on 22/04/2015.


Toscani D.,Consorzio Milan Ricerche | Giordani I.,Consorzio Milan Ricerche | Cislaghi M.,Consorzio Milan Ricerche | Quarenghi L.,University of Milan Bicocca
International Journal of Sensor Networks | Year: 2011

Data sources are increasing in number and distribution on the territory: sensor networks and individual devices are not any more atomic devices, but they are transforming data providers and consumers, paving the way to new personalised services. In this context, the paper presents a new software infrastructure for the integration of heterogeneous data (web services and sensors' API for streaming data, databases and files for historical data) and any type of data analysis and inference algorithms (e.g. forecast, statistical analysis, data cleaning, anomaly detection and optimisation). This infrastructure, named SUSHI (Supporting Unified access for Streaming and Historical data), provides explicit representation of domain objects, queries over heterogeneous data sources, online access to different sources, inclusion of processing components such as forecasting and simulation modules. The paper describes the SUSHI concept and architecture, a case study in environmental management and possible future developments for new services. Copyright © 2011 Inderscience Enterprises Ltd. Source


Grant
Agency: Cordis | Branch: FP7 | Program: CP | Phase: ICT-2011.6.3 | Award Amount: 4.67M | Year: 2012

ICeWater will increase the stability of freshwater supply to citizens in urban areas by adjusting the water supply to the actual consumption, while minimizing energy consumption through smart-grid integration and water spillage through leak detection.\n\nICeWater uses wireless sensor networks for water flow monitoring and it provides a decision support system for the water utilities so that supply and demand patterns can be matched in real-time. As an additional benefit, leakage can be predicted with statistical methods so that water network damages can be mended even before they occur (fix-before-break).\n\nICeWater uses wireless sensors of various types to provide real-time monitoring of water supply and demand. Based on the sensor data, decision support systems facilitate optimization of the water grid network operation (pumping schedules, pressure etc.). The demand management and consumption information is accessible online to the relevant actors in the water supply chain (including consumers) and allows dynamic pricing schemes with nudge-pricing to motivate behavioural change in customers causing critical consumption patterns. Services for asset management, such as predicting deterioration, leakage detection and leakage localization functionalities, will reduce water waste. New networking concepts (protocols, management of virtualized network resources) are required for better information flow, network resources management and sharing in a service oriented architecture (SOA). The information gathered with these services allows a better understanding of the consumers and to improve the effectiveness of the water resource management together with new metering and pricing schemes.

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