Award Data

Metamaterials and photonic crystals are engineered composites that exhibit novel and interesting properties not found using ordinary materials. They have been shown to allow extraordinary control over the electromagnetic field, including molding the flow of energy, amplitude profile of the field, phase of the waves, intermodal coupling, and more. To achieve such control, a set of tools and procedu ...

The research objective is to develop a tunable spatially-varying photonic crystal (SVPC) to achieve the optical propagation properties (reflection and transmission) of the light through the designed structure for the visible and near IR-bands. The light from this SVPC will be able to focus and bend as a function of the spatial variation of the refractive index, input angle, and state of polarizati ...

The main objective of this STTR effort is three-fold. First, to develop and demonstrate in Phase I a Bayesian methodology exploiting flight test data in order to identify critical store carriage tests and clear non-critical store carriage configurations by updated analysis. Second, to extend in Phase II the scope of this methodology to viscous flows with analysis enriched using analytical sensitiv ...

Defense against chemical weapons is a critical DoD requirement. An effective defense requires the development of unique respirator systems that prevent inhalation of chemical warfare (CW) agents. In addition, the protective equipment exposed to CW agents must not pose a residual hazard after use in the battlefield. Existing respirator canisters remove CW agents, but they do not self-decontaminate ...

The team of AlphaMicron Inc. and Kent State University proposes a novel LC technology, the dynamic polarizer, as a light control system for Battlefield Airmen and Pilots. The dynamic polarizer technology shares the performance capabilities of AlphaMicron’s e-Tint LC light control technology: instantaneously fails-to-clear, millisecond switching times, and customizable tint and color. Howeve ...

This proposal describes the use of machine learning, data mining and Bayesian inference algorithms for incorporation into a surveillance aircraft cognitive radar system. The need for incorporation of higher-order uncertainty distributions will also be assessed. This will result in enhanced sensor resource management capability for surveillance aircraft radar.

Research is currently identifying new biochemical markers to help monitor cognition and stress in the human body and enhance human performance. Traditional biometric markers like heart rate, temperature, oxygen partial pressure, blood glucose, electrolyte concentration, and others have been correlated with cognition and stress states. However, the correlation is indirect. Molecular biomarkers with ...

The objective of this proposal is to enable high-sensitivity, passive imaging system of natural mm-wave emissions, which can be used as standalone or fused with other imaging modality such as conventional IR imagery in degraded environments. This is achieved through a unique antenna integrated electro-optic (EO) modulator, where received mm-wave signals modulate an optical carrier. The optical car ...

As unmanned aircraft systems (UAS) become more prevalent there is an increasing desire to automate UAS navigation and control. To enable future UASs to perform a wider variety of missions, the they must be able to complete autonomous relative navigation to accomplish missions. Current technologies rely heavily on GPS measurements, which are undesirable since GPS signals may be unavailable in many ...

Using a combination of parallel processing and explorative visualization, a new and exciting solution for high-performance visual analysis of large multidimensional data is proposed. Steady volume flows are selected to demonstrate the strategy, methodology, techniques, and functionalities. Virtual Reality (VR) and Augmented Reality (AR) platforms will be adopted to unleash the power of explorative ...