Knowledge Gathering Network for BFMIS

Period of Performance: 08/07/2003 - 02/03/2004

$100K

Phase 1 SBIR

Recipient Firm

Quantum Intelligence, Inc.
3375 Scott Blvd, Suite 100
Santa Clara, CA 95054
Principal Investigator

Abstract

The objective of this project is to develop and apply Quantum Intelligence System (QIS) and demonstrate its technical innovation and explore its commercial applications for Intelligent Knowledge Gathering for BFIMS. QIS integrates a collection of advanced knowledge discovery and optimization technologies. QIS first employs the best practices in database and data warehousing area to gather and integrate diversified knowledge resources, and then employs innovative data/text mining techniques to discover the signatures of historical knowledge application scenarios and identify the process and critical factors of knowledge acquisition and dissemination of using interoperable components of Battle Force Interoperability Management System (BFIMS). A success of this technology will greatly enhance the capability and overall performance of systematic intelligent knowledge gathering and application through interoperable networks. QIS integrates a collection of knowledge discovery algorithms into a single unified framework that can handle data and text information simultaneously. QIS is an innovative knowledge gathering, discovery and application framework that fits especially well for the needs of this project: · Learning: QIS is an adaptive and learning framework to discover patterns, rules and signatures from historical knowledge application scenarios. The knowledge can be represented as a collection of rules, patterns or mathematical models. · Evaluation: The system systematically and periodically evaluates the up-to-date performance of a sequence of knowledge application decisions to achieve the best overall performance. · Optimize: The system is iteratively to apply knowledge to future scenarios. During the application, it searches for the best possible solutions in real-time. It goes through a large number of "what if" hypotheses, and select a sequence of knowledge application decisions for the best performance. Other Military Applications: Analyze terrorists' behavior, discover potential terror threats; automatically allocate operation workload for undersea warfare; data fusion and sensor management for adaptive flight control. Supply Chain: Inventory management, production planning and control, resource allocation, reliability, maintenance, material handling, logistics, distribution of a supply chain. Manufacturing: Parsing existing work-stream data for chip production flow and optimizing the microchips' yield while minimizing costs. Health Care: Discover clinical activity patterns for automatic early detection, prevention and best practice.