Award Data

Cateni and it's project partner End-to-End Analytics propose to bring tailored elements of advanced commercial supply chain practice to accelerate CubeSat development. In particular, the team will address two major sources of delay --long-lead-time components and payload integration. The goal is to identify the trades between upfront investment, total cost, flexibility and schedule, and ultimately ...

We propose an innovative yet pragmatic approach to the matching of information warfare requirements to solutions. The proposed system concept, Resolve, will be fashioned from an eclectic set of proven technologies with the goal of both improving search precision and recall, and dramatically reducing the effort required to find matching solutions. Resolve will exploit a unique capability to extra ...

Software is now a critical part of our national security infrastructure. Compromises in critical software systems can put lives in jeopardy. With the inclusion of foreign software into critical software systems the ability to detect, locate, and expose malicious or unauthorized source code is a significant concern. This proposal presents the use of a multi-level certifying tool-chain as an appr ...

A new class of imaging sensors, "foveal sensors", have been developed recently for the purpose of providing (a) wide field of view, (b) high frame rate operation and (c) very high spatial resolution. Patterned after the model of the human visual system, these new imaging sensors will enable the development of a large new class of real-time algorithms specifically designed to acquire and track tar ...

The focus of this STTR program is the development and maturation of a novel, room-temperature process to fabricate multi-layer metal-polymer (including PVDF and other smart materials) composites in an additive approach. This overcomes the limitation arising from the large temperature difference between metal and polymer manufacturing processes, and presents a new technology for additive manufactur ...

To meet the Air Force need for noiseless, artifact-free X-ray computed tomography (CT) to evaluate the integrity of large solid rocket motors, Physical Optics Corporation (POC) proposes to develop a new artifact reduction CT technology based on Adaptive Artifact-Decoupling Error Corrective Reconstruction (AADECR). POC's AADECR adaptive reconstruction algorithm, designed for existing CT data from ...

The development of adaptive AI technology is vital to the creation of simulation technology with predictive capabilities. The objective of this research project is to deliver an adaptive AI-based simulation technology with predictive capabilities that will enable a family of operational-level tools and simulations that can propose and assess realistic and emergent adversarial behavior, automate th ...

Space control missions require a high angular brightness and minimal jitter laser beam on the target. These characteristics are difficult to achieve on a real beam path through turbulent atmospheric conditions. MetroLaser’s proposal outlines an innovative approach in designing an Adaptive Laser System (ADLAS) based on a combination of linear and non-linear optical phase conjugation mirrors. This ...

OR Concepts Applied (ORCA) is currently involved in a Phase I SBIR effort for AFRL/HECI entitled Adaptive Levels of Autonomy (ALOA) for UAV Supervisory Control. In Phase II, ORCA will build on our Phase I successes, which are a direct result of years of experience designing mission planning and LO autorouting software tools. In Phase I, ORCA devised the ALOA architecture and defined multiple level ...

To address the Air Force need for adaptive tasking of RF and EO sensors based on background clutter and signal detection limitations, Physical Optics Corporation (POC) proposes to develop a new Controllable Robust Integrated Management Sensing Optimal Network (CRIMSON) system. CRIMSON is based on constrained optimization, dynamic resource/QoS performance management, and a controllable Petri net. ...