LINGA - LInked Neuroscientific Grand chAllenge
The most successful adaptation of the SHIWA services was done for one of the project's subcontractors, MaatG. The SHIWA and outGRID projects worked together to speed up the execution of the LINGA application by connecting the three neuroscience Distributed Computing Infrastructures involved in outGRID
The LINGA (LInked Neuroscientific Grand chAllenge) is the first large-scale neuroscientific experiment that involves the three globally separated neuroscientific infrastructures within outGRID and EGI.
The LINGA workflow analyses the patient's cortical thickness through a demanding image processing pipeline onto data sources hosted and processed by the three neuroscience DCIs involved in outGRID. Once the analysis is finished, the outputs are sent back to the European Grid Infrastructure and statistically compared with selected meaningful criteria, and used to produce the graphs neuroscientists will then use to base their interpretations.
Porting the LINGA workflow with SHIWA technologies speeds up (up to seven times) the database analysis time of the thousands of brain scan images from Alzheimer's patients. This allows the available data to be statistically organised and used for further research activities. Therefore the framework developed by the SHIWA consortium enables orchestration between the heterogeneous infrastructures, which is a huge step forward in neuroscience.
Demonstration about running the LINGA application on the SHIWA Simulation Platform
The SHIWA project and one of its subcontractors, Correlation Systems, worked together to optimise and speed up the route calculation of commercial vessels.
Correlation Systems is an R&D SME from Israel, founded in 1992. Its main profile is geospatial data mining, self-learning algorithms and auto-prediction of future geospatial events. WWAIS is a maritime monitoring service that allows monitoring of commercial vessels worldwide using satellite-based AIS and identifies and indicates suspicious activity at sea so relevant authorities can be informed which vessels to check when it arrives in territorial waters.
How does it work?
The WWAIS application is capable of detecting suspicious activity, for example if a ship is loitering in the ocean, using an abnormal route or waiting outside of the radar range. Also links between the vessels can be analysed and future positions and destinations estimated.
To process all the data WWAIS is using a complex processing model in order to map a vessel's probable course taken at sea. First of all general environmental constituents such as continental coastlines, islands and world port locations must be taken into consideration. Second, historical vessel data and worldwide shipping routes are added to the algorithm.
Nowadays Correlation Systems calculate the data of about 200000 unique sea vessels each of which must be processed separately. Each vessel could have gaps in its journey data spanning from several hours to several days. The total number of actual events from these vessels can number up to 5 million events per week. Due to this, the full processing of a single vessel's voyages in a month, can take 2-3 hours.
How can this be optimised?
The SHIWA project developed the SHIWA Simulation Platform which is capable of running scientific workflows created in different workflow languages to use the best advantages of each workflow language. Using this platform Correlation Systems is capable of saving computation time by using parallel processing of the vessel's route and to do it for a list of vessels at the same time.
At the first step the points where the vessel needs to go by are determined and the route is calculated between each pair of points. It can be done for all the point-pairs at the same time by using parallel processing to speed up the process.
By using parallel calculations for a route that contains about 100 points, the computation time can be lowered significantly. When the point pair calculations are done, the application creates the shortest route for the ship by combining the results it has made and the historical routes from its database.
How does it help?
The WWAIS System enables more effective law enforcement within European Maritime waters. Its advanced analysis tools aid Coast guards in identifying vessels involved in suspicious behaviours. For example the system might highlight a vessel which, according to its historically recorded max speed, must have taken a course detour while it was outside of Radar range. This data is then linked with another vessel which was recorded to have loitered in that vicinity. Coast guards can then investigate whether these vessels met at sea transferred smuggled goods or drugs.
In addition, by mapping in detail world maritime routes, WWAIS can aid in the study of world trade routes and financial activities such as oil shipping.
The SHIWA project adds a powerful layer of abstraction to WWAIS which allows it to expand its services.
28/09/2012 - Where are all the ships when we don't see them? on EGI.eu news
28/09/2012 - SHIWA sees sea vessels when we do not see them on GridCast
28/09/2012 - What are ships doing on the sea when we do not see them? on iSGTW
SHIWA (project number 261585) was supported by a Grant from the European Commission's FP7 INFRASTRUCTURES-2010-2 call under grant agreement n°261585
Provided by the MTA SZTAKI Computer and Automation Research Institute - Maintained by Laboratory of Parallel and Distributed Computing with Free and Open Source Software (2010)