Syzygy works from a broad set of correlation algorithms to respond to your quests for multisource data analysis. We apply algorithms based on neural net systems, heuristic expert systems, statistical systems, and hybrid systems.

Syzygy develops decision aids tailored to your required level of detail. We create test tools, such as our proprietary Java Fusion and Autocorrelation Track Evaluator (JFATE), to automate the analysis process. JFATE automatically analyzes input and output functions from correlation systems to derive measures of effectiveness (MOEs) as correlation metrics. Call on Syzygy for responsive collection and analysis of critical data. Syzygy's Correlation team is your source for cutting-edge collection and analysis of critical data.

Correlation team project list:

SPAWAR Systems Center, San Diego

Java Fusion and Autocorrelation Track Evaluator (JFATE)

JFate II is a data analysis tool that measures the accuracy of a track correlation system through a
set of indices collectively called “Measures of Effectiveness” or MOEs. JFate II is a revision of
an earlier tool that accepted correlator data inputs in the form of a ground truth set, and the
collected correlator outputs after having processed the data of the ground truth information. The
correlator output was broken into a set of constructed track records, and records deemed
ambiguous. All three sets of data were fed to the Jfate application and a coherent matrix
calculating the “Measure of Effectiveness” was generated. These calculations follow the process
as outlined in the November 1991 Technical Report 1475, Navy Tactical Command System—
Afloat (NTCS-A) 1990-91 Correlator/Tracker Evaluation. The Jfate II application expands on
the functionality of the earlier tool, increasing performance, ease of use, and providing a host of
data examination mechanisms to make it a diagnostic aid as well as analytical tool.