Jdll, Inc.

7302 S. 300 W. #305
Midvale, UT 84047
4 Employees

SBIR Award Summary

Total Number of Awards 6
Total Value of Awards $2.2MM
First Award Date 01/05/04
Most Recent Award Date 05/30/08

Key Personnel

Last Name Name Awards Contact
Youngberg Dr. James E. Youngberg 6 Message

6 Awards Won

Phase 2 SBIR

Agency: Air Force
Topic: AF05-203
Budget: 05/30/08 - 09/02/10

Current high-energy computed tomography (CT) techniques for nondestructive testing (NDT) of solid rocket motors (SRM) and other large industrial objects often produce inferior imagery due to artifacts, impairing detection, identification, and measurement of anomalies. Phase I results verified that these artifacts arise from failure of assumptio...

Phase 1 SBIR

Agency: Air Force
Topic: AF06-190
Budget: 04/21/06 - 04/22/07

Key technologies are assembled in an innovative approach to detecting age related change (ARC) in solid rocket motor CT measurements. Components of our approach include newly-developed CT artifact reduction technology, an approach to two-phase slice registration and normalization, and a powerful model-based interface analysis technology. These...

Phase 1 SBIR

Agency: Air Force
Topic: AF05-203
Budget: 06/20/05 - 03/20/06

Using experimentally-verified simulation we rank the most troublesome artifact mechanisms in high-energy 2D industrial computed tomography (CT) reconstruction. These artifacts, which include imprecise geometry, beam-hardening, sampling issues, scatter, and non-linearities, are fundamentally different from their appearance in medical and other ...

Phase 2 SBIR

Agency: Army
Topic: A03-019
Budget: 01/11/05 - 01/11/07

Current computed tomography (CT) techniques for nondestructive testing (NDT) of munitions and other non-medical specimens often produce inferior imagery due to artifacts, impairing detection, identification, and measurement of anomalies. In this Phase II, JDLL generalizes its Phase I artifact-reducing CT algorithms to 3D cone-beam configuration...

Phase 1 SBIR

Agency: Army
Topic: A04-002
Budget: 01/11/05 - 07/11/05

Practical use of hyperspectral imagery for target recognition relies on hardware speed and the ability of algorithms to properly separate (segment) targets from image background in the presence of changing illumination. Recent hardware advances have put frame-rate hyperspectral target segmentation on the horizon. Such applications are computat...

Phase 1 SBIR

Agency: Army
Topic: A03-019
Budget: 01/05/04 - 07/05/04

JDLL will experimentally rank the four most troublesome causes of artifacts in 2D and 3D industrial computed tomography (CT), including imprecise geometry, beam-hardening, scatter, and partial volume effect. We will then demonstrate artifact reduction algorithms corresponding to the most critical. We propose six promising candidate algorithms....