Applied Research LLC

9605 Medical Center Drive, Suite 113E
Rockville, MD 20850
6 Employees

SBIR Award Summary

Total Number of Awards 7
Total Value of Awards $810K
First Award Date 01/01/14
Most Recent Award Date 06/10/16

Key Personnel

Last Name Name Awards Contact
Chen Huamei Chen 3 Message
Ayhan Bulent Ayhan 1 Message
Kwan Dr. Chiman Kwan 124 Message
Yung Chihwa Yung 0 Message
Provided None Provided None Provided None Provided 1
Chen Hua-Mei Chen 1 Message

7 Awards Won

Phase 1 STTR

Institution: University of Tennessee

Agency: National Aeronautics and Space Administration
Topic: T8.01
Budget: 06/10/16 - 06/09/17

We propose high performance image processing algorithms that will support current and future Mastcam imagers. The algorithms fuses the acquired Mastcam stereo images at different wavelengths to generate multispectral image cubes which can then be used for both anomaly detection and rough composition estimation from relatively longer distances wh...

Phase 1 STTR

Institution: Johns Hopkins University

Agency: Air Force
Topic: AF15-AT27
Budget: 09/30/15 - 09/30/16

ABSTRACT: Our main objective in this project is to propose a novel Structured Sparse Priors for Target Recognition (SSPTR) system and to demonstrate that discriminative applications such as data clustering or target detection, tracking, and classification can be solved effectively and directly on the compressed measurement domain without the nee...

Phase 1 SBIR

Agency: Navy
Topic: N151-047
Budget: 07/21/15 - 01/17/16

We propose a novel and high performance compression system that can meet all of the Navy's requirements. We filed an invention disclosure for our system. A patent will be filed soon. First, for non-image data such as 1-D time series data (sensor health, thermal, kinematic), we first propose to apply some preprocessing routines to convert the tim...

Phase 1 SBIR

Agency: Navy
Topic: N141-048
Budget: 07/15/14 - 01/11/15

Most sonar and camera images in practice are inherently sparse yet highly non-stationary. Optimal prediction, sampling, representation, and estimation of such signals require locally adaptive decomposition that can quickly capture the signal characteristics within a small neighborhood. In order to achieve the demanding required level of compress...

Phase 1 SBIR

Agency: National Aeronautics and Space Administration
Topic: 14-1-H3.03
Budget: 01/01/14 - 12/31/14

Spacecraft cabin is noisy and uncomfortable. Sometimes, the noise level can exceed 80 dBA. There are 2 challenges to meet the above needs. One is to generate an anti-phase (180 deg out of phase) signal in real-time to reduce the loud cabin noise in a small area. Another one is to minimize the spillover of the anti-phase signal to other places. W...

Phase 1 SBIR

Agency: National Aeronautics and Space Administration
Topic: 14-1-S5.03
Budget: 01/01/14 - 12/31/14

Some target signatures of interest in drought monitoring, flooding assessment, fire damage assessment, coastal changes, urban changes, etc. may need to be tracked periodically. In a typical change detection application, a hyperspectral image collected in an earlier visit may need to be compared with later images collected using different imagers...

Phase 1 SBIR

Agency: National Aeronautics and Space Administration
Topic: 14-1-S5.03
Budget: 01/01/14 - 12/31/14

Researchers have been working on flare prediction for many decades. However, the best prediction result achieved by Falconer et al. for major flares, CMEs, and solar proton events (SPEs) is a probability of detection of 39%, meaning that only 39% of the events are correctly predicted. Existing flare prediction algorithms are mainly based on a co...