Intelligent Automation, Inc. — Department of Defense SBIR Phase I: The Department of Defense (DoD) has initiated a Data-to-Decisions (D2D) program to develop

Description

The Department of Defense (DoD) has initiated a Data-to-Decisions (D2D) program to develop an open-source architecture system that enables rapid integration of existing and future data exploitation tools to achieve a new paradigm in the management and analysis of data. Big Data solutions, e.g., cloud computing and Hadoop/MapReduce, has shown their advantages on Big Data storage and intelligent analytics in many commercial applications, and is considered to be adopted in the D2D program. One of the applications that could benefit is automated sensor planning (or management) based on shared situation awareness (SA). In other words, sensors can be dynamically tasked (or re-tasked) based on the latest status of information requirements and on-line analytic predictive processing (OLAP). To address this need, we propose a systematic approach based on cloud computing that provide scalable data mining/analysis algorithms as well as tools and platforms for ingesting real-time sensor data (e.g., technical, semantic, unstructured) for shared situational awareness and predictive processing, and drive the sensor planning loop. The proposed product will be extensively tested in a cloud computing environment.