Award Data

Scramjet engines are designed to operate across a wide Mach number range and typically incorporate isolator sections to provide sufficient back-pressure margin and prevent unstart. As military requirements become increasingly demanding, an active, closed-loop control system is necessary to maintain engine stability and power output. During Phase I, key components of a scramjet control system were ...

ABSTRACT: Researchers are identifying new biomarkers to help monitor, diagnose, and treat growing threats to the human body and enhance human performance. Recent sensor work combining biorecognition elements with field effect transistors (bio-FETs) has been shown sensitive and selective to biomarkers in the picomolar range with continuous detection; however device-to-device performance variability ...

Liquid Crystal Arrayed Microcavities (LCAM) are a new hyperspectral technology initiated by collaboration among Spectral Molecular Imaging, Advanced Microcavity Sensors and Montana State University Spectrum Laboratory.At the core of this revolutionary technology lie picoliter volume optical cavities that exploit liquid crystal birefringence for tuning an effective cavity length.During a Phase I on ...

Physical Sciences Inc. (PSI) and the research group of Professor Richard Osgood at Columbia University propose to develop a compact optical transceiver based on devices fabricated on a complementary metal-oxide semiconductor (CMOS) platform. The recent development of novel integrated structures in silicon including waveguides, resonators, and photodetectors will enable dramatic reductions in size, ...

Endpoints in the Internet of Things (IoT) vary considerably in their hardware-software architecture and their functional capability. The IoT marketplace is unlikely to converge on a single or a few dominant endpoint platforms in the near term and potentially even long term future.This creates a major problem and an opportunity for securing IoT endpoints that are being increasingly integrated in cr ...

There are many challenges in creating Air Force systems that are resilient against cyber threats. The cyber environment and its threats are highly dynamic, requiring practices and training to be dynamic as well. Cyber threats must be considered during th...

Our Phase I work focused on improving modeling and simulations so that the impact of autonomous systems in the battlespace could be better understood. As we have trained our attention on Phase II, it has become increasingly clear that the work we are doing to improve the modeling and simulation of autonomous systems also provides significant leverage for the development of the intelligent behavior ...

Cryptographic protection schemes provide some of the best security against data exploitation the security community presently knows how to engineer. It is estimated a 10 Petaflop supercomputer would require more than a quintillion (1.02 x 1018) years to ...

Increasing system capabilities in terms of weapon systems, ISR payloads, GNC, etc., enabled by smaller and more capable electronics systems have led to a trend for overall size reduction in military aircraft. This has resulted in a reduction in the avail...

LongShortWay Inc. and Northeastern University propose a family of feature reduction and ensemble classifier methods based on Principal Component and Dynamic Logic feature clustering algorithms. New methods combine feature clustering with non-linear feature reduction via manifold learning, and bagging, boosting, and stacking ensemble algorithms.