Award Data

In today’s asymmetric warfare, there is a clear need to accelerate the flow of weapons from magazine to aircraft. This involves developing a semi-automated system that will significantly improve ordnance handling aboard air-capable ships. This system should prepare a Weapons Handling Plan using as much autonomy as the Weapons Department personnel are comfortable with, from collaborative software ...

The driving force behind ONR’s unmanned sea surface vehicle (USSV) program is the great potential for these versatile vehicles to support Navy ships in the littoral environment. However, if USSVs are to fulfill this expectation, efforts must be made to make them less challenging to operate in order to reduce the manpower footprint. In a perfect world, these systems would be cooperative heterogen ...

PRESAGE is a robust computational tool that employs artificial neural network machine learning technologies to automate the analysis of extremely large sets of unstructured information. The PRESAGE solution takes a broad view of unstructured information analysis, learning correlations between on-the-ground threat risk and trends in sentiment, themes, and other textual features extracted from large ...

Asymmetric actors and the networks in which they operate are prominent components in the modern battlespace. While the United States has developed sophisticated data gathering capabilities and recent technological innovations have led to improved information fusion, massive volumes of data remain unused or under-used because the data cannot be converted into the information that the warfighter nee ...

The object of this proposal is to develop a new analytical method (lateral flow immunochromatographic device) for the rapid and on-site detection of pyridine carboxylic acid herbicides (aminopyralid, clopyralid, picloram and triclopyr) in compost and animal waste. The availability of a screening method to determine if compost is safe to be used in crops and ornamental flowers will greatly help pro ...

3-C Cattle Feeder, in collaboration with the New Product Development Center [NPDC] at OSU will develop enhanced prototypes to be tested in the field. The doors to the feeder will be controlled by an RFID reader which actuates a motor allowing the feeder doors to open. For safety, the doors are fail-safed using an infrared safety switch to prevent the doors from closing on a cow or calf, while thei ...

The Navy reduced manning requirements drive the need for more sonar automation. Automatically detecting and classifying targets of interest meets the challenge of reduced manning and workloads required for passive anti-submarine warfare (ASW) and torpedo detection, classification and localization (TDCL). Under SBIR Phase I Topic N06-138, the team of 3 Phoenix, Inc and General Dynamics - Advanced I ...

This Small Business Innovation Research (SBIR) Phase II proposal leverages technologies developed under SBIR Topic AF06-273 to develop cost-effective technology for Radio Frequency (RF) signal distribution over fiber onboard submarines. The technology has the ability to reduce RF signal loss over long distances and across a wide frequency range; reduce the number of hull penetrations; support mast ...

Complex systems such as the SPS-74(V) Periscope Detection Radar automatic target recognition system present difficult training challenges for enhancing and maintaining operator proficiency. Technical challenges arise from the nature of software automation. The most difficult recognition cases can usually be trained effectively only with actual sensor data. Keeping the proficiency training curren ...

Sea mines are a cost-effective method for hostile forces to attempt to neutralize assets of the U.S. Navy by limiting mobility and creating delay. Mine detection, classification and localization (DCL) is very challenging in littoral environments due to the high clutter, increased background, and dense multipath. 3 Phoenix, Inc. has developed an innovative approach for automatic target detection an ...