The Intelligence Advanced Research Projects Activity, within the Office of the Director of National Intelligence, announced on February 22 the “SuperTools” program, a multi-year research effort to develop comprehensive software tools for designing and analyzing superconducting electronics circuits.

This software would enable the user to design complex circuits with greater speed while using less power, which is no match for today’s semiconductor technology. “Modern electronic design tools are the core of the semiconductor revolution and have allowed ever more sophisticated electronic circuits to be designed and eventually built. Superconducting electronics offers the possibility of even faster and lower power circuits, but the design tools still need to be developed.” said Mark Heiligman, IARPA program manager.

Through a competitive Broad Agency Announcement, IARPA has awarded SuperTools research contracts to teams led by the University of Southern California and Synopsys Inc. Government agencies and national laboratories, including Lawrence Berkeley National Laboratory, National Institute of Standards and Technology, MIT Lincoln Laboratory, and Sandia National Laboratories will assist IARPA in conducting independent test and evaluation of the tool suites and associated design methodologies developed by each team. IARPA has partnered with the U.S. Army Research Office in the management of the SuperTools program.

Source: IARPA

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PANTHER’s accomplishments include rethinking how to compare motion and trajectories; developing software that can represent remote sensor images, couple them with additional information and present them in a searchable form; and conducting fundamental research on visual cognition, said Kristina Czuchlewski, PANTHER’s principal investigator and manager of Sandia’s Intelligence Surveillance and Reconnaissance Systems Engineering and Decision Support.

The PANTHER team looked at raw data and ways to pre-process and analyze it to make it searchable and more meaningful. The project’s fundamental research in cognitive science will inform the design of software and tools to help those viewing the data and make information of interest or trends easier to uncover.

PANTHER, which was funded by Sandia’s Laboratory Directed Research & Development program, is gleaning deeper insights from complex data sets in minutes instead of months, and covering hundreds of square miles instead of dozens.

“PANTHER developed the foundation for transforming how massive, complex data sets can be quickly analyzed to provide the nation’s decision-makers with new perspectives on situations and circumstances,” said Anthony Medina, director of Sandia’s Radio Frequency & Electronic Systems Center. “If an analyst is collecting information on a specific location over time and learns that something of interest might be occurring there, they probably don’t have the tools they need to quickly gather and analyze information from all relevant data sets that might corroborate the forecast. But PANTHER is probably the nation’s best bet right now to get to that point quickly.”

Tracktable code automates observation of motion, trajectories

Mark Rintoul, a Sandia data scientist, developed the Tracktable code along with Sandia researcher Andy Wilson and others to automate the observation of motion and trajectories. The code could be applied to any problem that involves movement, such as airliners, ships or people.

Current approaches to getting meaningful information from trajectories focus on comparing one trajectory to another. If you have millions of trajectories to consider, that could mean trillions of comparisons, which takes a lot of time and computer power, Rintoul said.

“We’ve developed a way to store and represent trajectories so that computers can compare them all at once in a very fast and effective manner,” he said. Instead of trillions of comparisons, the software does the same job in millions of comparisons, which is manageable.

An analyst concerned about the number of airliners stuck in holding patterns could ask Tracktable about aircraft trajectories that made a certain pattern of turns. Tracktable then calculates geometric features, such as the number of 90-degree turns an aircraft flew or the length of a straight line. By associating a type of motion with these features and assigning a number to each feature, the computer can quickly group flights that behave in similar ways and show them to the viewer for interpretation.

“If you have millions and you’re not interested in precise comparisons, but general groupings of them, this is very effective,” Rintoul said.

PANTHER also examined the predictive capability of the information buried in data. If an analyst looks at the first half of a flight, considers historical data about similar flight paths and then looks at the second half of the flight, any deviation from the pattern might cue an analyst to take a closer look. Finding that outlier from millions of flights that have flown before takes about a second with Tracktable, Rintoul said. The analyst is alerted because PANTHER team members are using the advances in cognitive science to design visual results that will highlight the odd behavior of the single aircraft. By studying how analysts use visual data, Sandia researchers are figuring out ways to make an outlier pop out of a screen full of detail to demand an analyst’s attention.

The team is now looking at integrating motion and trajectories into a system called GeoGraphy.

GeoGraphy helps analysts search for items of interest, shows changes over time

GeoGraphy, initially funded by the National Nuclear Security Administration, is a software system that converts remote sensing images expressed in pixels into nodes and edges in a graph to show changes over time and make the data searchable, said Randy Brost, a Sandia computer scientist who led the team that developed the software. Nodes are analogous to the beige hubs in Tinkertoys, while edges are the colored connecting rods.

GeoGraphy breaks the images into categories, such as buildings, trees or rivers. This pre-processing creates a graphic resembling a complex paint-by-number that shows the categories of everything in the image. The program uses nodes and edges to describe relationships between objects, such as distance or time, Brost and Czuchlewski said.

In addition to the imagery, the software package could include such information as phone books or county records, producing a single searchable database of all the information that shows what’s changed over time.

For example, to find a high school, the analyst tells the program to search for large buildings near regions that look like parking lots, football fields and tennis courts and defines those items. The analyst then can choose from among the results the computer provides.

The system is hierarchical, so once analysts identify high schools, they can ask the program to find high schools the next time without describing them. And should they doubt that something is a high school, the software makes the raw data available so they can verify the results, Brost said.

“The purpose of these codes — GeoGraphy and Tracktable — is to assist humans, not to replace them or to automatically do their jobs. It’s to enhance their ability to do their jobs well and to allow them to be more effective in dealing with large sets of evidence,” Brost said. “In the end, basically they are suggestion systems that say, ‘Hey, based on what you told me you’re interested in, you ought to look here, here and here.’”

The PANTHER team also included researchers focused on enhancing the viewer experience. Researcher Laura Matzen and others are conducting cognitive science experiments to learn how analysts’ expertise affects their visual cognition and to create a model of how top-down visual attention — when a user approaches an image with a goal in mind — works. The researchers hope to use the answers they find to such fundamental cognitive science questions to inform the design of new tools that will improve interactions between humans and computers, Matzen said.

The prototype products and ideas developed under PANTHER are ready for the next step in their development: to be tested in real-world environments, Czuchlewski said.

Sandia researchers have proposed research into new problems illuminated by PANTHER, while other agencies are solidifying the foundation PANTHER has developed. Other projects will use PANTHER’s ideas to address real-world problems, the researchers said.

“We went into PANTHER thinking we were going to do one thing, we’re going to improve the lives of image analysts,” Czuchlewski said. “And, in the research process, we did a whole lot more.”

Source: Sandia National Laboratories

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Vencore’s scope of work on this program includes custom software development, formal software and system testing, documentation and training.  Vencore’s intimate knowledge of custom systems, longstanding relationship with Sandia National Laboratories and innovative methods for resolving database conflicts are among the reasons that it was selected as the vendor to perform this work.

“For more than 30 years, Vencore has provided highly specialized services to Sandia National Laboratories,” said Mac Curtis, president and CEO of Vencore.  “This award solidifies our relationship and demonstrates the confidence we have earned in developing highly complex, unique solutions that solve the most difficult challenges our customers face.”

Advanced scoring methodology for training and cross-platform Web hosting of multiple map data sources will also be performed by Vencore on this critical program.  It will also customize a method to simulate 3D audio and provide expertise in custom XML schema.

Work on the program is scheduled to commence immediately.

Sandia National Laboratories is operated and managed by Sandia Corporation, a wholly owned subsidiary of Lockheed Martin Corporation.  Sandia Corporation operates Sandia National Laboratories as a contractor for the U.S. Department of Energy’s National Nuclear Security Administration (NNSA) and supports numerous federal, state, and local government agencies, companies, and organizations.

Source: Vencore

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