Navy Technology Transfer Navy Technology Transfer

Software and Information Technology

Adaptive Ecosystem Climatology

Naval Research Laboratory

The Adaptive Ecosystem Climatology (AEC) is a system for rapidly merging oceanographic observations with numerical simulations to provide an online decision-support tool (with analysis and visualization capabilities) for ecological forecasting. The Naval Research Laboratory detachment at Stennis Space Center has developed the AEC to provide a flexible tool for eco-forecasting applications. The AEC melds observations collected by oceanographers, amateur observers, e.g., boaters, fishermen, beachgoers, students, crowdsourcing, Earth Observation (EO) satellites, archived in situ data, and output from a state-of-the-art, data assimilative, coupled bio-optical-physical ocean model system. The AEC mitigates the shortcomings of the components and combines their strengths to enhance decision-making activities for end-user organizations. Using the visualization and analysis tools available on the AEC portal, the satellite and model climatologies can be displayed and manipulated, and the data files can be downloaded by users, for direct input into external management models, such as ecosystem, oil trajectory, or fisheries models.


Advanced Facial Recognition

Naval Air Warfare Center Weapons Division, China Lake

Scientists at Naval Air Warfare Center Weapons Division, China Lake have developed a new facial recognition software algorithm that uses biometric functionality and requires very little training data to be effective. The software constantly adjusts as new test data becomes available in real time. The new algorithm can tolerate changes in viewpoint as well as misalignments and changes in illumination and scale. It is particularly effective where data from multiple sensors is available. Access to data can also be customized and limited. The developed methodology focused on facial recognition; however, the techniques are expandable to other domains such as ship and target recognition. Researchers began experimenting with this technology in early 2010. The system includes a photo album tool where a user can select a face or faces to be found within the data set. Current military application include electronic warfare specific emitter identification. Commercial applications abound, including airport and public facility security and surveillance. The Department of Defense has many applications for the new technology including ship recognition and electronic warfare specific emitter identification. Commercial applications include airport and public facility security and surveillance.


Automated Underwater Vehicle Position Estimation

Naval Research Laboratory

Naval Research Laboratory (NRL) has developed an underwater vehicle simulation tool utilizing four-dimensional ocean current forecast interpolation to dramatically improve the prediction of an underwater vessel’s position and trajectory. The innovative four-dimensional interpolation of non-regular ocean current forecast data provides math and data access for maximizing processing speed (>100x real-time) as well as handling large forecast data sets (>1
gigabit). The four-dimensional interpolation technique compensates for simulation/forecast errors by using vehicle reported positions from the ocean forecast current, all the while providing a very fast motion model for underwater gliders. NRL’s underwater vehicle simulation overcomes pitfalls found in existing position estimation technologies. For instance, existing systems using global positioning systems require a vehicle to surface periodically which poses a potential navigation hazard and subjects a vehicle to faster currents near the surface. Inertial systems are ineffective without Doppler velocity logs, whose ranges can be limited for deep ocean operation unless the vehicle is close to the ocean floor. Ultra-Short Baseline systems are untenable tracking options for long deployments.


CT-Analyst®: Instantaneous Plume Prediction Tool

Naval Research Laboratory

CT-Analyst® provides emergency responders accurate, instantaneous, three-dimensional predictions of airborne chemical, biological, and radiological (CBR) hazards in urban settings. Naval Research Laboratory developed algorithms to integrate data from the environment such as weather data, national and man-made structural data, and geophysical data to predict and display how airborne hazards would move and flow throughout urban settings. The information can be used by first responders closer to real-time to determine where to evacuate, set up triage centers, what areas would be most impacted by CBR hazards, as well as anticipated future disbursement of the hazard in the region. Not only can the software predict how a CBR airborne hazard drifts through a city, it can also utilize existing sensors set up throughout the city to determine protective measures in situations in which CBR or nuclear warfare (including terrorism) hazards may be present.


Cellular Synchronization Assisted Location Estimation

Naval Postgraduate School

The Naval Postgraduate School offers a method that determines the location of a cellular device, such as a mobile cell phone, utilizing an existing network timing management signal issued by a cellular base station to the cellular device together with the uplink transmissions of the cellular device to provide a reliable position estimate of the cellular device. The method can also be utilized to passively determine the location of another cellular device, requires no additional hardware, no additional network infrastructure, no additional network bandwidth, and is power frugal.


Context-Driven Speech Recognition Software

Naval Air Warfare Center Training Systems Division

The context-driven speech recognition software is a patented software application designed to handle very large complex vocabularies in smaller subsets by logically dividing the vocabulary according to appropriate contexts. The divided vocabulary reduces the potential paths in the language model for any given recognition event, thereby reducing the recognition errors produced in the recognition engine. The framework for this software minimizes the size of the vocabulary loaded at any point when it is executing a recognition task against an audio stream. This basic principle alleviates many of the shortcomings related to off-the-shelf speech recognition engines’ handling of very large vocabularies. The approach manages speech recognition grammar outside of the compiled software. This application can be used for customer interface systems with large vocabularies, voice command and control applications, mobile applications (such as banking applications), computer gaming, and others.


Cyber Security

Naval Information Warfare Center Pacific (formerly Space and Naval Warfare Systems Center Pacific)

Naval Information Warfare Center Pacific (NIWC Pacific) has developed several cyber security technologies available for licensing or further development. Cybernaut is a patented hypervisor that protects a cloud infrastructure against cyber attackers that have managed to bypass various security mechanisms. By monitoring energy profiles of virtual machines, Cybernaut can extract information not present at the virtual machine level to identify possible intrusions and misbehaving software. Nomad is a patented key-value store system that provides a way to mirror both data storage and computation on homomorphic encrypted data across multiple servers. Nomad maintains several mirror copies distributed across different locations (different servers, datacenters, and clouds), while providing the ability to quickly switch to a backup node in the event of service disruptions due to system-wide failures or cyber attacks. CyberIA is a cyber data analytics tool that enables cyber analysts to quickly interpret large packet captures and intrusion detection system logs. Additional NIWC Pacific cyber security technologies offer new ways to assist users in perceiving, predicting, and adapting to threats to their computer systems; protect computers from malware and attacks (e.g., zero-day and polymorphic malware, distributed denial of service, malicious traffic, spoofing, man-in-the-middle attack); and encrypt data.


Data Sharing, Communication and Control Over Existing Cellular Networks

Naval Postgraduate School

The Aerodynamic Decelerator Systems Center and Center for Network Innovation and Experimentation at the Naval Postgraduate School has patented a methodology allowing sharing environmental and sensor data among multiple aerial vehicles to improve situational awareness and touchdown accuracy in the case of massive deployment of aerial payload delivery systems. Using an existing cellular or tactical network, the operator can interfere at any moment via the Internet (using a computer or a handheld device) or via voice portal to update any mission parameter or get the current status.


Determining Shortest Oceanic Routes

Naval Postgraduate School

Naval Postgraduate School researchers have developed a patent-pending new method to determine the shortest oceanic route connecting any two oceanic points on the planet while avoiding any intervening obstacle(s) to navigation. This mathematical problem, while easy to state, is not at all easy to solve. The motivating application is a decision support tool for Military Sealift Command that suggests the best routes for Combat Logistics Force shuttle ships to use when replenishing our combatants deployed at sea. A mathematical solution was needed to find the shortest paths among thousands of origin-destination pairs in a fraction of a second. As an unexpected bonus, a version of this new pathfinder has been made available to Navy planners, and has proven to be one of the most popular applications available online. This new technique has also been applied to submarine route planning.


Digital Precision Strike Suite

Naval Air Warfare Center Weapons Division, China Lake

The Digital Precision Strike Suite (DPSS) and its three components (Precision Strike Suite for Special Operations Forces, Scene Matching, and Precision Fires Image) are being used daily to fight the global war on terror. Each of these tools has been validated by the National Geospatial Targeting Agency and integrates high-resolution ground imagery, synthetic aperture radar data, forward-looking infrared, and specialized algorithms to provide precise coordinates for precision guided munitions. DPSS is authorized by the United States Central Command for use in theater including targeting, leadership interdiction operations, direct action missions, force protection, situational awareness, and mission planning.


Future Vertical Underway Replenishment

Naval Postgraduate School

The Aerodynamic Decelerator Systems Center at the Naval Postgraduate School developed methodology and software that allows landing powered or unpowered aerial payload delivery systems onto a moving target. The patented methodology covers both cases—when the moving target broadcasts its changing location and when an aerial payload delivery system has to rely on data coming from its passive sensors only. The guidance strategy follows a standard landing pattern and, therefore, allows implementing the developed concept for vertical replenishment of the ships underway, assuring avoidance of ship superstructures and the safe delivery of payload to as small a landing zone as a helipad of a cruiser.


Hybrid Time Synchronization Using Broadcast Sequencing for Ad Hoc Networks

Naval Postgraduate School

A new hybrid time synchronization scheme from the Naval Postgraduate School provides a high degree of network-wide synchronization and eliminates the possibility of collisions when transmitting timestamp messages. The time synchronization scheme can increase the precision of a wireless sensor network’s time synchronization, enhancing the network’s ability to facilitate applications that require synchronization and improving the network’s performance. The methodology allows a network to determine a broadcast sequence by which nodes transmit and forward messages, eliminating collisions, and then conducts a network-wide synchronization based on received timestamp information.


Integrated Radar, Optical Surveillance and Sighting System

Naval Surface Warfare Center, Crane Division

Naval Surface Warfare Center, Crane Division has developed the integrated radar, optical
surveillance and sighting system in response to the increasing threats to high dollar value
and exposed naval equipment. This proven and demonstrated system provides the capability
to surveil, track, and actively respond to threats in a manual or semi-automated fashion.
The core of the system consists of an intuitive user interface coupled with software drivers
for external devices (i.e., cameras, spotlights, audible warning systems) and a digital input/
output card capable of up to 32 connections.


Landing Signal Officer Information Management and Trend Analysis System

Naval Postgraduate School

The Landing Signal Officer (LSO) Information Management and Trend Analysis (IMTA)
System is a replacement for the legacy Automated Performance and Readiness Training
System (APARTS), which is a Microsoft Access® database tool that is no longer supported.
The LSO IMTA system is comprised of personal electronic devices (PEDs) and mobile
laptops, each loaded with dedicated software and shore based database server centers.
The PED, such as a rugged handheld tablet, takes in shorthand symbology developed by
the LSO community (normally recorded via paper logbook entries on the flight deck)
which stores the quality of an aircraft landing aboard an aircraft carrier trap. The pilot of
the aircraft is graded for each trap. Thereafter, trend analysis can be performed on collected
data and appropriate reports can be generated that are reviewed by Naval Air Systems
Command, Carrier Air Wings, and individual squadron commanders. Data collected via
PEDs is then transferred to intermediate storage until it can be uploaded to dedicated
shore side database server centers that key stakeholders will have access to. This system
can also automate the interaction between an aviation instructor and a student pilot in the
training pipeline, propagate the information from disconnected handhelds to centralized
databases for trend analysis, and allow for LSO shorthand capture during keyboard input
with intelligent algorithms. The focus has been the naval aviator, however, the scope of
data capture can also be applied to the commercial aviation sector.


Method and Apparatus for Computer Vision Analysis of Cannon-Launched Artillery Video

Naval Postgraduate School

Researchers form the Graduate School of Engineering and Applied Sciences of the Naval Postgraduate School developed a methodology allowing to accurately estimate the projectile location, velocity, and orientation in three-dimensions during the initial segment of free-flight. Validation shows that when compared to high-fidelity onboard data, the method is correctly quantifying the initial pitch and yaw histories. Initial velocity estimates agree with highly accurate muzzle radar estimates to within a fraction of a percent. The principal advantage of the developed technique and apparatus is that it is capable of analyzing launch video at the press of a button within minutes of an artillery projectile being fired, instead of waiting days or weeks for manual post-processing analysis. Having this knowledge at the gun site closes an important technology gap in the field of artillery testing. This ability also results in significant cost savings on future testing if redundant high-speed camera systems, yaw cards, and laborious manual post-processing are no longer required. In addition, the orientation estimates from this analysis can even be used as initial conditions in 6 degree-of-freedom (DoF) trajectory simulations to provide an improved trajectory estimate than the current 4 DoF trajectory simulations commonly run at artillery test sites. The developed approach can also be applied to other similar platforms such as mortar bombs, rockets, or missiles simply by changing the active shape model used for shape classification used by the developed methodology.


Method for Determining Hard Drive Contents Through Statistical Drive Sampling

Naval Postgraduate School

The Naval Postgraduate School (NPS) has developed a technique for rapidly assessing the existence of specific videos, digital photographs, or encrypted files on digital storage media. The technique uses random sampling and sector hashing, allowing disk drives to be searched for known content in 5-10 minutes, rather than in the 3-4 hours it would normally take to read every sector of a hard drive. To operationalize the technique, NPS has developed a high-performance database called ‘hashdb’ that can store a billion 32-bit hash values and perform 100,000 lookups per second on a commodity laptop. The database is used with ‘bulk_extractor’; a high-performance digital forensics tool also developed by NPS. Typical applications for this technology are rapidly searching for known child pornography at checkpoints and border crossings, searching for stolen corporate documents, and novel anti-malware approaches.


Network Effects/Cyberspace Attack Emulation

Naval Air Warfare Center Training Systems Division

The network effects emulation system (NE2S) provides realistic emulation of network and host based cyberspace attacks. NE2S integrates traditional test and training environments with cyber attack scenarios. A master control station provides centralized control of real-time instructor/operator initiated effects or scripted scheduled scenarios. NE2S employs a network centric architecture and is operating system and application agnostic. The system uses encrypted communications using standard network protocols. Authentication credentials are encrypted at rest. NE2S was demonstrated at Operation Blended Warrior 2017.


Precision Ground Measurements from an Unmanned Aerial System Platform

Naval Surface Warfare Center, Corona Division

Navy researchers have developed an aerial platform based measurement system configured to operate in a variety of locations to measure distances, determine ground points, analyze the speed of moving objects, and perform other velocity measurements and analyses. The unmanned aerial system platform is configured to establish a measurement or coordinate area in which to detect objects, the distance between objects relative to each other, and the velocity of objects moving within the area. The system includes an inertial measurement unit to determine attitude, a global navigation satellite system, a scaling unit and a gimbal control unit. The system could be used for speed monitoring in both law enforcement and recreational or professional sports settings. The system is easily deployed to monitor traffic and can monitor vehicular velocities over a diversity of terrain such as flat or irregular ground. The system’s precision is based on laser rangefinder or LIDAR, an altimeter, or any other device configured for distance measurement between a ground point and camera.


Smart Antenna Algorithm

Naval Air Warfare Center Training Systems Division

The smart antenna algorithm (SAA) is patented technology that provides frequency management capabilities across a spectrum of networked radio frequency communication devices. The tool determines the susceptibility of multiple radios to interference by mathematically modeling radio noise, nonlinearities, and image frequency. The SAA method uses antenna isolation, which varies between antenna elements, to map problem frequency nets to antenna pairs having greater isolation. The overall result is a boost to radio performance in order to balance and meet range coverage requirements. Even though the number of possible combinations for assigning frequency nets to antenna elements may be exhaustive, the algorithm runs in real-time with accurate results. The assignment algorithm/model may be used for automatic, intelligent, configuration and setup of distant, remote radios when incorporated into the remote interface control tool, an existing, fielded, radio-control baseline. The SAA can be used as a communications planner tool, for dynamic frequency trunking, and for rapid, ad-hoc communications set-up for emergency response units.


Three Dimensional Shape Correlator

Naval Air Warfare Center Weapons Division, China Lake

Naval Air Warfare Center Weapons Division, China Lake has developed a method to automatically determine both the identity and the position of an object based on the object’s shape as sampled by a laser radar sensor. This technology provides valuable and vital information in the successful achievement of navigation, including vehicle landing, docking and parking, and in the find of, attachment to, and manipulation of objects. Potential commercial applications are in autonomous vehicle control and robotics.