VAN Houten Technologies, Inc.

P.O. Box 1778
St. Peters, MO 63376
7 Employees

SBIR Award Summary

Total Number of Awards 5
Total Value of Awards $1.75MM
First Award Date 09/30/95
Most Recent Award Date 11/28/00

Key Personnel

Last Name Name Awards Contact
Miller Mr. Clarence M. Miller III 1 Message
C. St. Clair Daniel C. St. Clair 3
Miller C. Monte Miller III 1

5 Awards Won

Phase 1 SBIR

Agency: Navy
Topic: N00-109
Budget: 11/28/00 - 05/28/01

The graphical information required to support a complex aircraft involves tens of thousands of graphics and hundreds of thousands of pieces of amplifying information from manufacturers, suppliers, and integrators. Such massive amounts of graphical and textual information requires a sophisticated capability to automatically convert, interpret, a...

Phase 2 SBIR

Agency: Air Force
Topic: AF97-007
Budget: 04/24/98 - 04/24/00

Integration of graphics and text, as demanded in the authoring of maintenance procedures, requires the author have knowledge about the content of graphics files so the appropriate graphic can be located and matched with the maintenance text being written. Current attempts to assist authors in this difficult and time-consuming task include namin...

Phase 2 SBIR

Agency: Navy
Topic: N94-226
Budget: 10/29/97 - 10/29/99

The Phase I research successfully developed and validated an integrated methodology of neural network (NN) algorithms combined with feature vector generators for the automated detection and recognition of weak, temporal signals or interest (SOIs) and signals not of interest (SNOIs) in the presence of non-Gausian noise. This methodology suc...

Phase 1 SBIR

Agency: Air Force
Topic: AF97-007
Budget: 04/25/97 - 01/25/98

Phase 1 SBIR

Agency: Navy
Topic: N94-226
Budget: 09/30/95 - 03/30/95

Neural networks as well as classical transformation techniques have been successful in the field of static pattern recognition. However, the problem of reliably detecting and recognizing weak, temporally varying signals remains a challenge. New techniques are needed to detect and recognize conventional signal types within a dense, dynamically, ...