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Dynamically Reconfigurable Data Architectures for Aircraft Data Analysis and Anomaly Detection

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N00014-14-C-0097
Agency Tracking Number: N071-084-0655a
Amount: $996,136.00
Phase: Phase II
Program: SBIR
Solicitation Topic Code: N07-084
Solicitation Number: 2007.1
Timeline
Solicitation Year: 2013
Award Year: 2014
Award Start Date (Proposal Award Date): 2013-11-08
Award End Date (Contract End Date): 2017-03-31
Small Business Information
155 Kapalulu Place Suite #200
Honolulu, HI 96819
United States
DUNS: 176527471
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: Yes
Principal Investigator
 Matthew Shawver
 Principal Investigator
 (808) 840-8575
 mshawver@referentia.com
Business Contact
 Nelson Kanemoto
Title: President&CEO
Phone: (808) 840-8600
Email: contracts@referentia.com
Research Institution
N/A
Abstract

Phase II.5 proposal, extension of Phase II contract N00014-10-C-0255. Data collection and management of operational aircraft data is a critical enabler of effective condition based maintenance (CBM+). However, the large volumes of data collected create accessibility problems that limit the usefulness of the data. Using a relational database to store time series data results in a solution that is unnecessarily large and slow. Advanced methods of processing large quantities of data are needed to accomplish CBM+.ADAAD is a high performance time series database which allows full resolution data to be kept online and accessible. ADAAD has an intuitive graphical user interface and open architecture programming interfaces, with the ability to handle large volumes of time series data. Customer results have demonstrated a 20 times database size reduction and 200 times increase in query speed when compared with leading databases.

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

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