BrainMap

Aurel Mihail Baloi

- GRAPHIT INNOVATION FACTORY S.R.L.

Manager | PhD student

Web of Science ResearcherID: not public

Expertise & keywords

Transforming a massive volume of data and geospatial information into actionable intelligence Call name: P 2 - SP 2.1 - Soluţii - 2021
PN-III-P2-2.1-SOL-2021-0084 2021 - 2023

Role in this project:

Coordinating institution: Academia Tehnică Militară „FERDINAND I”

Project partners: Academia Tehnică Militară „FERDINAND I” (RO); INTERGRAPH COMPUTER SERVICES S.R.L. (RO); UNIVERSITATEA NAŢIONALĂ DE ŞTIINŢĂ ŞI TEHNOLOGIE POLITEHNICA BUCUREŞTI (RO); AGENTIA SPATIALA ROMANA (RO); UNIVERSITATEA BUCURESTI (RO)

Affiliation:

Project website: https://mta.ro/bdageoint

Abstract:

BDAGeoINT is a project that aims to use emerging technologies for ingesting, visualizing and storing structured and unstructured massive data sets (Big Data), as well as processing and analyzing this information in order to transform it into actionable intelligence.

It proposes an innovative conceptual framework by integrating machine learning in related fields, which capitalizes the identification methods of the entities and of the relationships between them, as a result of processing spatio-temporal data, text data and image/audio/video data. This approach is achieved by exploiting distributed analysis and optimal storage for running complex analyzes in order to generate actionable intelligence.

From a technological point of view, the project combines mature technologies (COTS: Luciad, ERDAS Apollo) with emerging technologies (open source) such as: GPU processing, HDFS (Hadoop Distributed File System), Python and Cython, machine learning algorithms for identifying entities and spatial data processing.

BDAGeoINT will seek to respond to the information cycle of an intelligence organization and the relational context in which it operates (national security system, strategic relations systems and strategic partnerships).

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