For processing and presentation of collected sensor data and their enrichment with complementary data sources we developed a physical mashup VIDEK which uses artificial intelligence technology. We introduce a mashup system which automatically collects data from sensors. The data is processed and stored by SenseStream while the meta-data is fed into ResearchCyc. SenseStream indexes aggregates, performs clustering and learns rules which then it exports as RuleML. ResearchCyc performs logical inference on the meta-data and transliterates logical sentences. The GUI mashes up sensor data with SenseStream output, ResearchCyc output and other external data sources: GoogleMaps, Geonames, Wikipedia and Panoramio. This physical mashup is open to public and integrates data from existing VESNA based sensor networks.
F.08 Development and manufacture of a prototype
COBISS.SI-ID: 25921575We have developed a sensor platform VESNA, characterised by high processing capability, low power consumption and compatibility with a wide range of communication technologies. Modular design and open specifications of hardware and software provide easy and efficient adaptability to use in research, development or final products. The platform supports vertical integration of wireless sensor network technologies and semantic technologies as well as the use of machine learning algorithms and decision making. It also supports the concept of service oriented sensor network. In 2012, we developed one core board and a set of radio and expansion boards that allow establishing a sensor network and the realization of application related functionality and a gateway into other communications networks. Through a series of digital and analog interfaces platform supports a wide range of sensors and actuators. VESNA platform is currently used in three FP7 projects, i.e. CREW, ABSOLUTE and CITI-SENSE.
F.08 Development and manufacture of a prototype
COBISS.SI-ID: 25841191Wireless sensor networks represent one of the core enabling technologies for the Internet of Things, which will significantly increase the number of connected devices as well as the network traffic load. However, integration of wireless sensor networks into the Future Internet architecture is faced with a set of challenges resulting from the scale, heterogeneity, the need for interoperability and constrained capability of devices. Addressing these challenges goes beyond the treatment only in the context of laboratory studies or computer simulations, and requires the establishment of appropriate testbed environments that will allow assessment of individual approaches as well as evaluation of heterogeneous technological building blocks through experimental research. Also for the investigation and demonstration of solutions developed in the project J2-4197 we started with the deployment of experimental sensor network testbed LOG-a-TEC based on the VESNA sensor platform. The testbed environment includes several geographically distributed sensor networks which are all accessible via web-based network management application and linked into the online application VIDEK. Sensor network deployed on the public infrastructure in the city of Logatec for experimental research in the areas of cognitive radio and networking is part of the FP7 CREW testbed federation and thus represents one of the FIRE initiative facilities. As a result of the developed VESNA platform and deployed LOG-a-TEC testbed environment we already received several invitations to participate in the preparation of FP7 projects, including two that already started with work at the end of 2012.
F.17 Transfer of existing technologies, know-how, methods and procedures into practice
COBISS.SI-ID: 26260007