Award Data

The Fast Fourier Transform (FFT), an efficient method for computing Discrete Fourier Transforms, is widely used in climate modeling, molecular dynamics, structural dynamics, astronomical computations, nuclear energy, and many other scientific applications. Representing one of the most important users of numerical routines, the Department of Energy (DOE) uses FFTs to solve the most-pressing challen ...

3 Sigma Research investigates an advanced concept, called the Mutating Attack-Surface Investigation (MASI), to increase network protection by continuously modifying and dynamically mutating the network profile. This approach addresses the attacker’s tactic of network mapping and the assumption of a static network target. The architecture implementation uses virtual machine hypervisor technology ...

3 Sigma Research proposes to develop and implement an innovative prototype and demonstrate a suite of tools to assist with the automated creation of security classification guides and application of the guide in classifying information. Building on the research from the Phase I Ontology-based Security Classification Guide Investigation (OSCG-I), the prototype will show that a robust and accurate ...

The objective of Phase I is to identify the strengths and weaknesses of the various multi-reference coupled-cluster (MRCC) methods that have been proposed for the description of molecular states depending upon near degeneracies and non-dynamic electron correlation. Such effects are encountered in bond breaking, at transition states, for complex open shell systems like transition metal atoms, and f ...

This SBIR project aims at the development of an innovative technology that can be attached to existing submerged arc welding (SAW) systems to monitor and feedback control the depth of weld penetration. Existing SAW systems will be operated using existing welding procedures without modifications. In many applications skilled welders may adjust the welding parameters based on their observation of dy ...

The aims and opportunities of our Automated Control Enhancement(ACE) modules are enabling of automated training of complex tasks in animals; innovative new remote tele-presence/robot/canine operational teams; and, ultimately, entirely new classes and types of augmented-reality enhanced canines. Initial canine screening, selection, and early-skill acquisition are most efficiently performed within ...

The aims and opportunities of our Virtual-Reality-Assessment-Modules(VRAM) for Remote Monitoring and Diagnosis of Warfighters at Risk for PTSD are based upon A2-T2’s existing remote technologies already developed for OSD and commercial customers. Specifically, this project provides an ideal opportunity to extend our remote enabled TBI screening assessment and rehabilitation technologies along w ...

Our Virtual-Reality-Assessment-Modules (VRAM) successful efforts already include developing functional prototypes of small arms trainers that enable advanced assessment screening capacities with rapid sequential or simultaneous cognitive and physiological loading on militarily relevant tasks. Our innovations include exploiting exponential differences that are easily detectable within impaired ind ...

Under this Phase II effort, the A2-T2 team will build upon the success of our Phase I project to further extend pre-shot standoff detection of snipers and potential snipers. The system is based on the existing Photo-Automatic-Linking-System for facial detection and recognition with added capabilities specifically directed at sniper detection to create PALS for Sniper Detection (PALS-SD). PALS-SD i ...

The aluminum alloys have low density, relatively high strength, and high strength-to-weight ratio, which brings some major advantages in marine structure design, fabrication, and operations. However, marine ships are subjected to a complex and severe loading, and the typical failure mode of aluminum under extreme dynamics loading such as wave slamming and high velocity impact is ductile fracture. ...