Award Data

The team of Physical Sciences Inc. (PSI) and Ohio State University (OSU) proposes to develop and test a novel method for electrical production of singlet molecular oxygen for application to an atomic iodine transfer laser. OSU has developed a supersonic,low pressure discharge and applied it to flows of nitrogen with efficient excitation of the gas. They propose to use this method that tailors th ...

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Fault diagnosis and prognosis is very important in health monitoring or condition based maintenance. If one can measure the degradation of a component before it actually fails, then it will provide ample time for maintenance engineers to schedule a repair,and to acquire replacement components before the components actually fail.IAI and its STTR partner, Georgia Institute of Technilogy, propose a l ...

Gold contamination in Circuit Card Assembly (CCA) solder joints leads to brittle intermetallic compounds (IMCs), which is one of the major factors in solder joint failure. The conventional rule of thumb considers 3 wt% of gold (Au) as a safety threshold, which is not always reliable due to varieties of package platforms, solder types, reflux settings, operational and environmental conditions, etc. ...

In this Phase I Small Business Technology Transfer (STTR) program, Composite Technology Development, Inc. (CTD) and our Research Institution partner North Dakota State University (NDSU) propose to implement a integrated systematic approach to designingreusable composite tanks for ABL applications. The primary goals of the Phase I program include understanding the mechanism of microcrack growth in ...

This proposal is aimed at demonstrating the applicability of a method for data-based, online, real-time monitoring of machine health state and predicting imminent failures. The data driven prognostic system will be based on a new, general state-space basedapproach to parameter tracking in dynamical systems. This method is applicable to systems where the parameters drift at a slower rate than the o ...

In this SBIR Project we will develop and demonstrate novel general algorithms for anomaly detection in complex systems. Component wear in electrical and mechanical system components causes degradation that occurs on a slow time scale with respect to theobserved system behavior and is evident in very small magnitude changes to system behavior long before a component's eventual failure. An objecti ...

Our proposed second order uncertainty (SOU) product is a decision making software solution that addresses the problem of providing accurate and precisely defined decision courses of action (COAs) of complex, time-constrained problems in a fraction of the time required by alternative methods striving to achieve the same level of precision. Complex decision situations can deal with large volume of ...

Combining information from disparate sensors can lead to better situational awareness and improved inference performance; unfortunately, traditional multi-sensor fusion cannot capture complex dependencies among different objects in a scene, nor can it exploit context to further boost performance. Integrating context information within a fusion architecture to reason cohesively about scenes of inte ...

Globalization and digitization have been driving the recent economic growth at the expense of raising the risk level in the supply chain related to fraud, security, and safety, while current practice of supply chain management and risk assessment is lagging far behind. Therefore, commercial industries and government agencies are seeking advanced supply chain risk assessment solutions, which can ef ...