Intelligent Inference Systems Corp.

NASA Research ParkMail Stop: 566-108
Moffett Field, CA 94035
http://www.iiscorp.com
20 Employees

SBIR Award Summary

Total Number of Awards 4
Total Value of Awards $340K
First Award Date 07/01/02
Most Recent Award Date 07/01/10

Key Personnel

Last Name Name Awards Contact
Berenji Dr. Hamid R. Berenji 4 Message

4 Awards Won

Phase 1 SBIR

Agency: Air Force
Topic: AF093-207
Budget: 07/01/10 - 02/28/11

We propose to develop Multi-agent Prognostic Health and Usage Monitoring and Influence Diagrams (MULTI-PHUM-ID) and to integrate it with the solid technique of Bayesian Networks, which combines Dynamic Case-Based Reasoning (DCBR) and Model-Based Reasoning (MBR) with sensor validation. DCBR is powerful when a system or component model is poorly...

Phase 1 SBIR

Agency: Air Force
Topic: AF093-208
Budget: 07/01/10 - 02/28/11

We propose to develop Multi-agent Prognostic Health and Usage Monitoring and Influence Diagrams (MULTI-PHUM-ID) and to integrate it with the solid technique of Bayesian Networks, which combines Dynamic Case-Based Reasoning (DCBR) and Model-Based Reasoning (MBR) with sensor validation. DCBR is powerful when a system or component model is poorly...

Phase 1 STTR

Institution: University of New Mexico

Agency: Missile Defense Agency
Topic: MDA03T-001
Budget: 08/20/03 - 02/20/04

The prognostic tasks in component health monitoring require recognizing early signs of system malfunctioning and recommending whether a maintenance procedure should be carried out. A prognostic system needs to separate nominal component behavior from a faulty ones even in the cases that those behaviors are similar. Advanced pattern recognition ...

Phase 1 STTR

Institution: University of California, Berkeley

Agency: Navy
Topic: N02-T016
Budget: 07/01/02 - 02/01/03

Perception-based reasoning will be an important capability of future intelligent systems. One of the key aspects of this theory is granulation, which will allow agents to process imprecise information in large complex state spaces. In complex and uncertain environments, autonomous agents will need to adapt the initial definitions of granules and...