CITI-SENSE (FP7 - IP, 2012-2016)
CITI-SENSE will develop “citizens’ observatories” to empower citizens to contribute to and participate inenvironmental governance, to enable them to support and influence community and societal priorities andassociated decision making. CITI-SENSE will develop, test, demonstrate and validate a community-basedenvironmental monitoring and information system using innovative and novel Earth Observation applications.To achieve this, the project will: (i) raise environmental awareness in citizens, (ii) raise user participation insocietal environmental decisions and (iii) provide feedback on the impact that citizens had in decisions. It willaddress the call’s request for effective participation by citizens in environmental stewardship, based on broadstakeholder and user involvement in support of both community and policy priorities. The project aims to learnfrom citizen experience and perception and enable citizenship co-participation in community decision making andco-operative planning.
The concept of CITI-SENSE rests on three pillars: technological platforms for distributed monitoring; informationand communication technologies; and societal involvement. Three pilot case studies will focus on a range ofservices related to environmental issues of societal concern: combined environmental exposure and healthassociated with air quality; noise and development of public spaces, and indoor air at schools. Attention willbe given to representativeness of citizen participation. The case studies will be designed in collaboration withcitizens’ groups and decision makers. They will be based on distributed data collection using innovative static,portable and personal devices (low-cost reliable microsensor packs) that communicate with a data repositoriesthrough mobile phones or other devices. Development of participatory methods, data management strategies,and applications to facilitate exploitation of the data and information for policy, and society, will be done.
APRICOT (ARRS, 2011-2013)
The "Advanced procedures for interactive composition of sensor networks project" starts from the hypothesis that by applying SOA principles it is possible to develop advanced procedures for the interactive composition of sensor networks on demand and thus exploit shared heterogeneous sensor resources assuming the knowledge of their characteristics, functionality, the context and accessibility. Since we will rely on the use of semantic technologies for discovery and composition of sensor resources we refer to the composed networks as semantic sensor networks.
The main objective of the project is to use semantic technologies to annotate and subsequently search for, discover, and reason upon sensor and associated communication resources, and on demand compose those resources into dynamic global sensor infrastructure. By having data on shared sensors instead on available sensor data, we make possible the interaction with sensors, so we can reuse them and set their parameters according to the needs of a particular application.
CREW (FP7 - IP, 2011-2015)
The main target of FP7-CREW is to establish an open federated test platform, which facilitates experimentally-driven research on advanced spectrum sensing, cognitive radio and cognitive networking strategies in view of horizontal and vertical spectrum sharing in licensed and unlicensed bands.
The CREW platform incorporates 5 individual wireless testbeds incorporating diverse wireless technologies (heterogeneous ISM, heterogeneous licensed, cellular, wireless sensor) augmented with State-of-the-Art cognitive sensing platforms.
The CREW project started in October 2010 with a consortium of 7 partners and was enlarged in July 2011 with the 8th partner. To extend the use of the federated testbeds to external researchers, two open calls are planned.
ENVISION (FP7 CP 2010-2012)
The ENVISION project provides an ENVIronmental Services Infrastructure with ONtologies that aims to support non ICT-skilled users in the process of semantic discovery and adaptive chaining and composition of environmental services. Innovations in ENVISION are: on-the-Web enabling and packaging of technologies for their use by non ICT-skilled users, support for migrating environmental models to be provided as models as a service (Maas), and the use of data streaming information for harvesting information for dynamic building of ontologies and adapting service execution.
PlanetData (FP7 NoE 2010-2014)
The PlanetData project is built around three objectives that together ensure the creation of a durable community made up of academic and industrial partners. This community will be supported in conducting research in the large-scale data management area through the provision of data sets and access to tailored data management technology. From the research point of view, the focus is on large-scale data management. Sensorlab provides sensor data, raw and annotated and services based on these.
OPCOMM (CC 2010-2013)
In the frame of the OPCOMM Competence Centre we will design an open communication platform for the development of new cutting-edge services and applications for the Future Internet. Special attention is given to the applicability of services, quality of user experience, the applicable value of data and content, and the interaction with the "material world", i.e. various devices, objects and processes. This requires efficient interaction between the smart user terminals, appliances and objects, contextually dependent services, and the communication network. The programme encompasses research, design, and prototype development with the final demonstration of new solutions.
The SensorLab team is focused on gathering different types of data from sensor networks and on context awareness in support of services and application for object management. Moreover, it is concerned with pre-processing of data and metadata and its transfer to the core platform through appropriate data interfaces. In this respect, SensorLab will give special emphasis on the investigation of semantic technologies for sharing, searching, virtualizing and dynamic composition of sensor nodes.
The CFP for the Web of Things workshop is out. Consider submitting a paper.
Check the CREW stand at FIA FIRE in Dublin!
Carolina Fortuna successfully defended her PhD thesis entitled Dynamic Composition of Communication Services.
The CREW OC2 project CREW-TV (Feb. 1 2013 - March 31 2014) focuses on the experimental coexistence in TV bands and will involve the LOG-a-TEC testbed where also the final demonstration will be given.
Tomaz talks about the CREW training days on his blog.
The CREW OC2 project CREW-TV will involve the LOG-a-TEC testbed.
Zoltan Padrah successfully defended his MSc thesis entitled Distributed Spectrum Sensing in Unlicensed Bands Using the VESNA Platform.
The Absolute project has had the kick-off meeting in October 2012.
The CITI-SENSE project has had the kick-off meeting in October 2012.
Tomaž talked about VESNA and Cognitive radio in Kibepipa (talk in Slovenian).
Join us at the CREW training days! Program available here.
Check our github to see what we've opened up!
One of the many aplications we use VESNA for is spectrum sensing. Read more about it!
We are constantly open for talented, open minded and hard working undergraduate students, interns and MSc/PhD candidates. Read more.
[ more highlights ]
VESNA in Kognitivni Radio
The Web of Things
Marko Grobelnik, Carolina Fortuna
[ more demos ]