Award Data

Aret proposes to develop and implement an innovative deep learning process to fuse multiple sensor modalities for classification and identification of watercraft. Machine learning techniques and simulations capabilities will be used to construct a trained classification processor that will be implementable in SWaP-Computational limited operations. The Phase I demonstration will leverage a suite of ...

We propose a two-prong machine learning approach that simultaneously uses two complementary techniques, deep learning CNN and manifold learning, to exploit the automatic feature and regularities discovery of deep learning to fuse the multiple sensor data and the sparsity representation of the data in manifold learning to fuse the raw sensor data as represented by their highly compressed lower dime ...

In Phase I of this program OEwaves will investigate the elements of a compact clock architecture, will identify limiting SWaP factors for the key ion clock components. OEwaves will consider core components having a significantly decreased SWaP for use in real-world environments. The particular focus will be given to creation of a monolithic supercavity having short term stability at the level of 1 ...

San Diego Composites, Inc. (SDC) has developed three conceptual hybrid magnetic shielding materials that have high magnetic shielding potential at low frequency, are light-weight, and maintain the high compressive strengths necessary to meet the Navys needs to support the development of the Electromagnetic Railgun (EMRG) Innovative Naval Prototype (INP). Each of the three hybrid material technolog ...

Organizations face two existential challenges: to anticipate and create surprise. Inefficiency and ineffectiveness are inevitable outcomes of the ensuing struggle. To mitigate these outcomes, organizations increasingly seek external help and guidance. However, the rush for such assistance betrays missed opportunity. Embedded knowledge and self-actualization among members remain largely untapped re ...

One-size-fits-all approaches to physical fitness are characterized by extreme limitations. When not individually-tailored, workouts can be ineffective or worse: so strenuous that they lead to injuries. Advances in wearable sensors allow individuals to capture personalized data related to their own physical fitness (e.g., heart rate, step count). Unfortunately, with such an abundance of physiologic ...

Marine physical fitness is a core element of force readiness: toward an end state of a healthy and fit force able to better answer the call in any clime and place (ALMARS 022/116). Marine physical training programs must be tailored to individuals in order to maximize the physical potential of every Marine. To meet this need, Charles River Analytics proposes to design and demonstrate a prototype sy ...

To facilitate amphibious assault operations, the Marines need to quickly move amphibious combat vehicles (ACVs) between ships and the shore. However, due to an increased level of sophistication in the anti-ship weapons available to potential adversaries, Navy ships must remain far from shore during assault operations (i.e., many tens of miles). This creates a need for assault vehicles that can ach ...

The Multifunctional Information Distribution System (MIDS) Joint Tactical Radio (JTRS) is a four-channel, software-programmable radio having up to eight Shop Replaceable Units (SRUs) that determine the functionality of the unit. The SRUs consist of electronics cards mounted in a sealed structure and secured in the chassis using standard wedge locks. Currently, the available heat rejection from the ...

The proposed Phase II.5 ViPER USMC large mission planning mission planning expansion effort seeks to add capabilities to ViPER-CVW that will provide an initial large force air planning capability to USMC aviation planners. Development will focus on providing route and airspace deconfliction tools which link airspace, flight routing, and planned aircraft movements, as well as automated checks to en ...