The US Army has embarked on a new project to develop a “Multidomain User Sensor Architecture Prototype” for situational awareness and target acquisition. The goal of the MDUSA effort is to address the need for increased situational awareness and target acquisition range in very low Size, Weight, and Power consumption (SWaP) …
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May, 2020
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24 May
U.S. Navy’s undersea supremacy led by Super stealthy Virginia class Attack submarines, with Nuclear weapons capability
US Navy plans to add as many as 32 attack submarines in just the next 15 years. Overall, the addition of attack submarines represents the largest overall platform increase within the Navy’s ambitious plan to grow the fleet to 355 ships. “Battle force inventory reaches 301 in 2020 and 355 in 2034,” …
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24 May
Blockchain & Cryptocurrency breakthroughs to transfer funds safely, quickly, anonymously and energy efficiently
As society become increasingly digital, financial services providers are looking to offer customers the same services to which they’re accustomed, but in a more efficient, secure, and cost effective way. Blockchain’s conceptual framework and underlying code is useful for a variety of financial processes because of the potential it has …
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23 May
Distributed optical fiber sensors (DOFS) are superb for infrastructure and earthquake monitoring
The fiber optic sensors also called as optical fiber sensors use optical fiber or sensing element. These Sensors can measure a large variety of parameters, such as temperature, pressure, strain, refractive index, vibrations, displacements, bending, loading, and liquid level or concentration of chemical species. Over the past decade, optical …
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23 May
Photonic ADCs have removed the bottlenecks of bandwidth limitations and timing jitter of electronic analog-to-digital converter (ADC)
The performance of digital receivers used in modern military radar, communication, and surveillance systems is often limited by the performance of the analog-to-digital converter (ADC) used to digitize the received signal. Ultrafast ADCs are critical in military applications such as military software-defined radio, radar, and electronic counter-warfare (ECW) that require …
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22 May
Auxiliary ships for Afloat support sealift capacity is decisive in maintaining the wide spectre of current naval operations around the globe
Auxiliary ships are vital to maintaining a strong and efficient naval fleet. They are designed to perform multiple roles to effectively support combatant ships in and out of battle, as well as complete other similar naval operations. Although auxiliaries assist other ships and do not execute primary combatant operations, they …
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21 May
Enhanced Long-Range Navigation (eLORAN) will complement GPS under Navigation Warfare environment
The world’s shipping industry is experiencing strong growth, which is expected to continue. Ships are getting larger and faster, sea-lanes are becoming more crowded, and crews are increasingly relying on electronic navigation systems to operate in this environment . The newly proposed concept of e-Navigation will improve safety, security, and …
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20 May
Nanotechnology based sensors for rapid, sensitive and reliable detection of explosives
In recent years, spread of terrorism has assumed an alarming proportion across the globe, because of the simplicity and variety of schemes by which these explosive-based weapons can be deployed causing enormous damage to public safety and environmental pollution. This has emphasized the need for rapid, sensitive and reliable detection …
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9 May
Militaries race to develop Quantum radar that would render Stealth Aircraft Obsolete, monitor Ballistic missiles to low altitude satellites
The utility of Modern high frequency Radars have become degraded due to innovation in stealth that resulted include unusual shapes that deflect radar waves—like the US B-2 bomber’s “flying wing” design (above)—as well as carbon-based materials and novel paints. China and Russia have since gotten stealth aircraft of their own, …
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7 May
DARPA’s LwLL developing more efficient machine learning by massively reducing the amount of labeled data needed to train accurate models
Deep learning is a type of machine learning in which a model learns to perform classification tasks directly from images, text, or sound. Deep learning is usually implemented using a neural network architecture. Deep learning architectures such as deep neural networks, deep belief networks, recurrent neural networks and convolutional neural …
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