Award Data

To address the Navys need for a radar and electro-optical/infrared (EO/IR) fusion system running on space, weight and power (SWaP) constrained platforms for ship classification and identification, Physical Optics Corporation (POC) proposes to develop a new Binarized Deep Fusion Classification (BDFC) technology. This proposed BDFC solution is based on decision-level and feature-level data fusion of ...

Aret proposes to develop and implement an innovative deep learning process to fuse multiple sensor modalities for classification and identification of watercraft. Machine learning techniques and simulations capabilities will be used to construct a trained classification processor that will be implementable in SWaP-Computational limited operations. The Phase I demonstration will leverage a suite of ...

We propose a two-prong machine learning approach that simultaneously uses two complementary techniques, deep learning CNN and manifold learning, to exploit the automatic feature and regularities discovery of deep learning to fuse the multiple sensor data and the sparsity representation of the data in manifold learning to fuse the raw sensor data as represented by their highly compressed lower dime ...

In Phase I of this program OEwaves will investigate the elements of a compact clock architecture, will identify limiting SWaP factors for the key ion clock components. OEwaves will consider core components having a significantly decreased SWaP for use in real-world environments. The particular focus will be given to creation of a monolithic supercavity having short term stability at the level of 1 ...

San Diego Composites, Inc. (SDC) has developed three conceptual hybrid magnetic shielding materials that have high magnetic shielding potential at low frequency, are light-weight, and maintain the high compressive strengths necessary to meet the Navys needs to support the development of the Electromagnetic Railgun (EMRG) Innovative Naval Prototype (INP). Each of the three hybrid material technolog ...

This project addresses the issue of characterizing current and future Coastal Battlefield Reconnaissance and Analysis passive sensors and their impact on system performance. COBRA currently utilizes a passive, multi-spectral imaging sensor and is investigating other sensors for future Block I and Block II systems. There is a need for evaluating and comparing the performance of these sensors to fac ...

Perhaps the most critical task facing a naval fixed-wing aviator each day is to safely land his or her aircraft on the deck of an aircraft carrier underway that is also responding to sea state. Confounding this already difficult task is a degraded visual environment in which key guidance cues may no longer be present. The Navy continually develops new technologies designed to ease pilot workload a ...

In this Phase II SBIR effort, HJ Science & Technology will develop and build an integrated and fully automated “lab-on-a-chip” (LOC) sensor capable of autonomous and in-situ high sensitivity and precision measurement of oceanographic chemical parameters. Our innovation stems from our patent pending valve-less fluidic switching technology that we have developed for a myriad of microfluidic auto ...

The U.S. Air Force is interested in developing hypersonic vehicles including reusable transport aircraft, cruise missiles, and unmanned systems. Hypersonic flight regimes result in multifaceted and very difficult design challenges that can be encapsulated into an aerothermoelastic problem, which is a complex interaction of structural, thermal, and aerodynamic mechanisms. When a flexible structural ...

Towards the goal of enabling MIMO capabilities for TCDL radios while maintaining full backward compatibility, we propose the design, development and demonstration of TCDL MIMOnizer, a new appliqu aimed to empower TCDL modems with MIMO capabilities with minimum hardware modifications to the legacy radio such as smart low-lost bolt-on module or smart add-on antenna. In onedesign scenario, the MIMOni ...