Award Data

This Phase 1 SBIR project will establish the technical and commercial benefits of using previous task executions to augment model-based route planning for military applications. On this project, we will integrate a prototype route planner using ``Implicit Semantic Knowledge'' (ISK) derived from previous executions, with an existing model-based route planner, called ``Ground Guidance.'' Model-bas ...

ATEI’s unique partnership with the University of Minnesota plans to exploits applied and fundamental research, respectively, to achieve unprecedented levels of integration for highly complex RF microwave, mm-wave and analog/digital/mixed-signal modules using Silicon Complementary Metal Oxide Semiconductor (CMOS) technology to support emerging DoD-critical applications such as wafer-scale phase a ...

SIFT proposes the PARCEL technology to establish a knowledge economy for solving hard problems that require thousands of participants. PARCEL rewards participants with a combination of altruism, recognition, competition and monetary rewards. PARCEL provides a collaboration environment that integrates many existing open source and social networking tools to ensure efficient use of participant's ...

On-board autonomy for satellite defense poses significant challenges to today’s planning and execution technology, including mission-critical performance, hard real-time deadlines, and limited computational resources. To meet these challenges, SIFT proposes to build SAT-CIRCA: an integrated, verifiable architecture for real-time satellite response planning and execution. In previous research, we ...

The goal of this research project is to determine the viability of an interconnect and probing technology which could be used to test and burn-in unpackaged semiconductors at system level speed, and at operating frequency, with voltage and with temperature margins verified. The focus of the research will be to address directly the most costly limitation to widespread MCM use; the problem of readil ...

This project will develop and deploy a comprehensive force protection vulnerability analysis process that accommodates diverse and large geographic areas, public events, infrastructure interdependencies, attacker goals, means, and methods, and defender priorities. This process will be based on the Vulnerability Assessment and Prioritization Methodology (VAPM) originally developed and applied to do ...

Current base and force protection vulnerability assessments tools are limited in their ability to a) prioritize prevention, detection, and mitigation options based on adversary intent and defense objectives, b) share results between different sites and support new (rapid) force protection training as personnel rotate, c) reuse past analyses and keep adversary data, defender data and the resulting ...

Weighted mission-centric correlation of network resources identified by automated mission course-of-action generation, supported by automated identification and mapping of underlying dynamic networks, can map administrative, business, and war fighting needs to key information assets and their underlying infrastructure. We propose to develop the necessary resource correlation engine to demonstrate ...

AN ULTRA LOW-COST FUEL TANKAGE FOR EXPENDABLE TURBOJET PROPULSION SYSTEMS TO BE USED IN THE LONGFOG MISSILE IS PROPOSED. DESIGN CRITERIA AND TECHICAL OBJECTIVES BASED ON MISSION REQUIREMENTS AND COST-EFFECTIVENESS ARE PRESENTED. TWO CANDIDATE SYSTEMS ARE PROPOSED: ONE FEATURING COMPRESSOR DISCHARGE BLEED AIR FOR FUEL TANK PRESSURIZATION AND THE OTHER FEATURING A HIGH-PRESSURE BOTTLE OF INERT GAS F ...

The need for an automated target recognition system that can identify a target from a noisy image, irrespective of the target's orientation or size is identified. A novel pulse-coupled neural network is proposed to meet this need. The first step is to capture the image. Next, a neural network is used to determine whether an object of interest exists in the image. Next, another neural network deter ...