ARGOS Final Trial Video

Follow the link to see the ARGOS Final Trial Video!

Short Wave Infrared (SWIR) imaging

The Short Wave Infrared (SWIR) range runs between from 1 to 2.5 µm [1] (Cf. Figure 1).

ARGOS system integration tests in NCSRD facilities, Athens (Gr)

Following the successful remote tests of integration of the ARGOS system, the partners involved in the second field trial of the ARGOS project met in the facilities of NCSR Democritos, to work locally for system integration and test purposes. The performance of all types of sensors that will be deployed during the final trial of the system was tested. Furthermore network and communication tests of alternative solutions between ARGOS Gateway and the internet were performed and integration of data to the rule based engine the data fusion component, and the DSS interface were tested.

ARGOS TransGaz Trial Video

The ARGOS FP7 Project successfully organized the 1st Field Trial in Bucharest, Romania deploying the CI protection solution under development at the premises of the Romanian company TransGaz. The system testing and demonstration in a properly designed field trial took place between 22nd and 25th of June 2015. The trial was attended by several End Users originating from Romania as well by critical infrastructure protection operators and security experts invited from different EU countries.  The scenarios used during the trial dealt with several different types of attacks against a gas plant or installations, in this case the TransGaz facility in the outskirt of Bucharest. For this purpose a mesh network of different types of sensors including vibration and video sensors, as well as Wake-up Cameras were deployed in a buffer zone outside the perimeter of the facility in order to extend the protection of the critical infrastructure (distribution station, gas pipeline) beyond its perimeter from potential intruders.

You may watch the Trial Video following this link

Data Mining by Clustering

Clustering is one of the most used techniques in the Data Mining field. Its objective, in ARGOS project, is to help analyzing existing data by subdividing these data into a small number of clusters or (groups) where the events inside any specific cluster are very similar to each other and very dissimilar to the events of the other clusters.

As a result of the clustering process, several important information will be obtained among which two major ones can be quoted: