Innovative Data Anomaly Detection and Transformation for Analysis Applications

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N68335-14-C-0102
Agency Tracking Number: N132-096-0726
Amount: $79,998.00
Phase: Phase I
Program: SBIR
Awards Year: 2014
Solicitation Year: 2013
Solicitation Topic Code: N132-096
Solicitation Number: 2013.2
Small Business Information
75 Aero Camino, Suite A, Goleta, CA, 93117-
DUNS: 153927827
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Joel Luna
 Principal Investigator
 (937) 429-3302
 jluna@fti-net.com
Business Contact
 Rhonda Adawi
Title: Contracts Manager
Phone: (805) 685-6672
Email: radawi@fti-net.com
Research Institution
N/A
Abstract
The overall objective of this topic is to develop a software toolset to transform extracted data from different database systems and convert it into data packages that create model specific input files that support future modeling, simulation, and analysis tasks. Specifically, the main objective of this proposed Phase I research effort is to develop the concept for a new capability that automates, to the greatest degree practicable, a data transformation process that includes data analysis and validation and results in the creation of model input files that can be used to conduct required analyses. The result of this research is to identify the capabilities and requirements of a data transformation process that starts with data extracted from standard Navy data systems and produces valid model inputs for use in specified models and simulations. In particular, the process and tools required to check the data for errors and inconsistencies, automated means to perform such checks and provide insight into any errors or inconsistencies detected, as well as resolution of those errors or inconsistencies will be addressed.

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

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