Award Data

The work done in Phase I demonstrated using cognitive brain signals to determine the output of a discrimination task. No attempt was made to feed these signals back into the system to help the user better perform the discrimination task. The work to be done in Phase II focuses on using cognitive brain signals to adapt and manipulate the tasking of a user so as to improve their overall performances ...

The Frost Secure Waveform (FSW), secures the RF carrier itself, Layer-1 of the OSI Reference Model, as a discrete transmission element, as opposed to the information it carries. The signal becomes part of the WGN rendering it almost invisible except to intended communicants and even if detected, is extremely difficult to acquire. The bandwidth transparent technology takes advantage of maturing D ...

The rapid development of the telecommunications industry over the last decade has led to significant advances in several technologies. Two of these technologies, wireless networking chipsets and laser miniaturization, have made it possible to create a device for wirelessly monitoring neuronal activity. In this project, we proposed to utilize these technologies to create a wireless functional brain ...

The DARPA Phraselator currently deployed in overseas military operations is capable of translating spoken English language phrases into audible Pashto, Urdu, Dari, and Arabic language phrases. Although usable, the Phraselator is highly vulnerable to typical military environment noise resulting in significant loss of accuracy due to the limitations of existing microphone technology. Therefore the ...

This program will provide a key manufacturing breakthrough for high-performance inexpensive miniature SEMs. We plan to develop a MEMS, microassembly-based, fully functional mini-SEM having 1/10,000 the volume of current units. Zyvex is a dynamic small firm with a highly qualified technical team, experienced management, and the advantage of a $25M / 5 year NIST-ATP award that is funding the continu ...

The Systems and Process Engineering Corporation (SPEC) will develop the Individual Soldier LADAR (ISL) which will use a proven high accuracy phase detected range circuit to determine range profiling to 1/8-inch accuracy. This circuit allows the ISL to operate as a Class I eye-safe device and still achieve the needed range. The ISL also utilizes ultra short pulse lengths, allowing improved signal ...

A critical drawback of existing automatic facial expression classification, gesture analysis, and emotional state recognition technology is the lack of integrated and complimentary measurement modalities to perform reliable cognitive and emotional state assessment in operational environment. The purpose of this SBIR is to develop a novel, integrated sensor that incorporates three sensing modaliti ...

Hoplite Systems LLC proposes to implement the Soar cognitive architecture within a Field Programmable Gate Array (FPGA). This system, called the RAISE (Reconfigurable Architecture for Improved Soar Execution) will demonstrate that an FPGA's parallel, reconfigurable, multi-clock capabilities enable significantly better Soar processing performance than a traditional CPU. Hoplite will also develop ...

Creating a realization of cognitive processes, reasoning, and behavior is a challenging problem due to its size, scope and complexity. Current realizations of cognitive systems are software based and typically implemented on conventional von Neumann processors. However, performance is a constraining factor in applications that require extensive testing, training and learning as well as in the im ...

The problem of unifying symbolic knowledge and concept representations and systems with the sensor inputs from the external environment is fundamental to the development of autonomous sensor-to-symbol systems. Existing approaches do not provide ways for allowing systems to rapidly incorporate new knowledge. The proposed sensor-to-symbol framework addresses the following key capabilities: • Provi ...