Model Based Systems Engineering Big Data Analytics

Model Based Systems Engineering Big Data Analytics

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA8650-18-P-5011
Agency Tracking Number: F173-015-0456
Amount: $149,968.00
Phase: Phase I
Program: SBIR
Awards Year: 2018
Solicitation Year: 2017
Solicitation Topic Code: AF173-015
Solicitation Number: 2017.3
Small Business Information
5 Mountainview Drive, Framingham, MA, 01701
DUNS: 048474568
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Jakub Moskal
 (508) 788-5088
 jmoskal@vistology.com
Business Contact
 Mitch Kokar
Phone: (508) 277-0242
Email: mkokar@vistology.com
Research Institution
N/A
Abstract
The amount of cross-domain data available to the designer today, and the speed at which it continues to grow is unprecedented. The data often come from heterogeneous sources that were developed independently, without a consensus on the syntax or semantics. The integration of the heterogeneous data is possible because of the access to its respective metadata, or data about data. The availability of vast amounts of cross-domain data led to the development of the Big Data (BD) technologies - a wide range of new standards, processing paradigms, architectures and frameworks, that are being actively applied in virtually all domains. BD tools are capable of discovery, interpretation, and communication of meaningful patterns in vast amounts of data. The analytics utilize algorithms from across different fields, such as distributed machine learning, data mining, pattern mining or computer vision, to name a few. The challenge of comprehending entire DT goes well beyond the scope of the proposed work. VIStology and Raytheon are proposing to focus primarily on the Capabilities-Based Assessment and develop methods and tools that leverage Big Data Analytics (BDA) supported by semantic technologies to extract and link design artifacts from common engineering documents to conduct trade space exploration.

* Information listed above is at the time of submission. *

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