Activities per year
Project Details
Goal of the project
The new naval perspective in mine countermeasures with autonomous “systems of systems” operating at a large stand-off range from the mother platform, requires fast, interoperable and integrable data management. Nowadays, information is mostly collected and organized in databases that respond to the required system applications. Every system application has its own data model in which the data is encased. However, with this approach, termed application-centric, data interpolation and data integrability require a huge effort.
Within this project, a new concept for data management will be exploited. A data-centric architecture will be implemented. It will be applied to data collected for the fast seafloor characterization of the economic zone of the Belgian Continental Shelf for coastal and harbour protection. Using a data-centric implementation, an improved approach for mine burial assessment will be developed, considering not only the sediment composition but also the geotechnical response of the sea bottom and discriminating the results versus potential sea mines typology. For this part, methods of Machine Learning (ML) will be employed.
Within this project, a new concept for data management will be exploited. A data-centric architecture will be implemented. It will be applied to data collected for the fast seafloor characterization of the economic zone of the Belgian Continental Shelf for coastal and harbour protection. Using a data-centric implementation, an improved approach for mine burial assessment will be developed, considering not only the sediment composition but also the geotechnical response of the sea bottom and discriminating the results versus potential sea mines typology. For this part, methods of Machine Learning (ML) will be employed.
Role of the organisation
The main idea is to facilitate data interoperability and data integration considering the future maritime mine countermeasure capabilities being built upon autonomous systems of systems. Such a data-centric architecture is a new approach in data management and it will suit this purpose. Added to that and with the help of data-centric architecture, maps of the risk of mine burial along the Belgian coast will be computed, by applying machine learning (ML) methods to a ‘data-lake’ collection. To perform a fast and reliable seabed characterization, two different free fall penetrometers will be used and their performances and measurements will be described against the NATO arm-thrust test measures commonly in use. The advantage of the use of a free fall penetrometer is to have the possibility to be used without risk to personnel in minefields, eventually in automatic mode, and being not constrained by tide dynamics...
Short title | DISCIMBA |
---|---|
Acronym | DISCIMBA |
Status | Active |
Effective start/end date | 1/04/22 → 31/03/26 |
RHID domain
- Data acquisition and processing
Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
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Enhancing Maritime Security at the edges of Europe
Papili, S. (Participant)
16 Apr 2024Activity: Participating in or organising an event (conference, measurement campaign, ...) › Participating in a conference, workshop, ...
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Data-centric Implementation on fast Seafloor Characterization for Innovative Mine Burial Assessment
Papili, S. (Speaker)
17 Apr 2024Activity: Talk or presentation › Oral scientific presentation
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BRIAS
Papili, S. (Participant)
2 May 2024 → 3 May 2024Activity: Participating in or organising an event (conference, measurement campaign, ...) › Participating in a conference, workshop, ...