InfoFuse : Intelligence/Information Fusion

Goal:

Investigate the information technology in support of intelligence/information fusion among multiple agencies.

Literature Survey on existing techniques for supporting intelligence/information fusion among multiple agencies.
Investigate key issues in intelligence/information fusion research.
Potential tasks:
- XML based language specifying and exchanging distributed intelligence information
  Working with Northcom staff, we will study and develop a shared thesaurus providing understanding of the terminology used by different agencies in specific chosen domains. An XML based language for exchanging sensor data, decisions, and sensor control requests will be developed.
- Meta model for combining decisions
  Techniques for combining decisions from multiple classifiers will be investigated. Of particular interest is the design of a feedback loop for verification and timely correction of decisions. We will investigate how artificial neural networks can be used to speed up and improve the accuracy of decision making.
- QoS for multi-agency sensor feedback performance
  Assuming some cooperation of sensors from multiple agencies, we are interested in studying techniques for guaranteeing the quality of service for the high priority sensor information fusion/delivery.
- Cluster-based Computing Platforms in Support of Information Fusion Applicationks
  Address the performance and QoS issues involved in computing platforms in support of information fusion applications.

This project is supported by a grant from NISSC.