Award Data

The ability to efficiently process intelligence data is critical to fighting the global war on terror. A major source of this data is recorded speech. Therefore, the performance of speech processing applications (speech recognition and speaker identification applications, for example) depends on pre-processing to find the regions in the recording where speech is present. Although current method ...

The ability to efficiently process intelligence data is critical to fighting the global war on terror. A major source of this data is recorded speech. Therefore, the performance of speech processing applications (speech recognition and speaker identification applications, for example) depends on pre-processing to find the regions in the recording where speech is present. Although current method ...

Autonomous Aerial Refueling (AAR) of powered munitions can enable persistent loitering and provide significant benefits to future warfighters. The technology has immediate commercial applications and the feasibility of AAR for small unmanned vehicles has been successfully demonstrated in the Phase I project. A total system solution to AAR has been conceived that includes a precision relative nav ...

The proposed project will rectify the current bottleneck in the simulation of 3D magnetic fields around high-current pulsed power devices. In the existing software, fields in the air are approximated by an artificial magnetic diffusion equation, which is both computationally expensive and nonphysical. The proposed solution avoids any nonphysical quantities and relies on exact conditions for the qu ...

Under AFRL Contract FA8650-05-M-5214 Phase I, CFDRC has developed and demonstrated the foundation of a comprehensive code for modeling the Cold Hearth Melting (CHM) processing of Titanium alloys. The code includes effects that accurately predict the transient temperature distribution, flow patterns, skull shape, species evaporation, and particle fates in the hearth region for a given set of dynam ...

The goal of the proposed research is to develop a unified computational framework integrating adequate physical models for simulating complex non-equilibrium plasmas. Plasma dynamics is characterized by disparate spatial and temporal scales each described by appropriate physical models. The project aims to classify possible scenarios and develop general recipes for clustering phase space to dynami ...

We propose to develop a Health and Environmental Risks Assessment Capability (HERAC) that will allow Air Force personnel and related contractors to develop actionable, scientifically based, health and environmental risks assessments of maintenance tasks upon aircraft and other weapons. Presently, no capability exists to effectively model and simulate the microscale (from 2 to 50 feet) transport an ...

Trout Green Technologies, Inc. successfully proved the feasibility of its active camouflage technology through analysis and preliminary experimental demonstration in Phase I. In Phase II we propose to: develop a thorough simulation of the active camouflage to optimize architectural configurations; conduct a comprehensive technology development study of the packaging and manufacturability of the c ...

The need for self-managing networks is readily apparent. As network systems become more vital to the organizational mission, they grow larger, faster, more complex, and more difficult to protect. However, developing a technology for effective self-management is challenging. The solution must have the ability to plan and carry out transitions from actual to desired state of the network within a ...

The Active Resource Manager (ARM) will perform dynamic decision-making for self-managing networks. To accomplish this, ARM will access information from a wide range of network resources and cyber-defense sensors, and it will use this information to generate and maintain a situation awareness model. The situation model will consist of a structured, dynamic representation of significant situation p ...