Intelligent Fusion Technology, Inc.

Zhijiang Chen

Genshe Chen

Bin Jia

Khanh D Pham

Erik Philip Blasch

Sixiao Wei

Nichole Sullivan

Carolyn Sheaff

Kuo-Chu Chang

Cailing Dong

A method for pattern discovery and real-time anomaly detection based on knowledge graph, comprising: based on a dataset including messages collected within a certain period, constructing a local knowledge graph (KG); applying a statistical relational learning (SRL) model to predict hidden relations between entities to obtain an updated local KG; from all SPO triples of the updated local KG, discovering a normalcy pattern that includes frequent entities, frequent relations, and frequent SPO triples; and in response to receiving streaming data from a message bus, extracting a plurality of entities, a plurality of relations, and a plurality of SPO triples, from the streaming data for comparison with the normalcy pattern using semantic distance, thereby determining whether there is an abnormal entity, relation, or SPO triple in the streaming data.

Method and system for pattern discovery and real-time anomaly detection based on knowledge graph

Methods and systems for space situational awareness (SSA) demonstration are provided. The system includes a space data collector component, for collecting space initialization data of space objects from initialized space sources and pre-processing the space initialization data; a data relocation component, for distributing the space initialization data pushed from the space data collector component into multiple streaming channels for streaming; a streaming platform, for streaming, mapping, and reducing the space initialization data from the data relocation component to provide streamed data; a real-time analysis component, for calculating the streamed data to conduct a real-time detecting and tracking analysis of the space objects by implementing algorithms for one or more of space uncertainty propagation, space object tracking, sensor management, and collision avoidance; and a space visualization component, for displaying a visualization of space situational awareness (SSA) based on analyzed results from the real-time analysis component.

System and method for space situational awareness demonstration

Method and system for detecting and tracking multiple moving targets based on wide-area motion imagery are provided. The method includes receiving a task request from a client; sending the task request to a local agent; acquiring to-be-processed images from the client, in response to the task request; calling an Hadoop API and checking a running status of a Hadoop system for an available resource in the Hadoop system; when a resource in the Hadoop system is available, pushing the to-be processed images to a back-end Hadoop distributed file system (HDFS); running tracking algorithms of multiple moving objects associated with the to-be-processed images to provide tracking results of the multiple moving objects; when the Hadoop system is completed in running the tracking algorithms, generating and sending a message to the local agent; and sending the tracking results of the multiple moving objects from the HDFS to the front-end database.

System and method for detecting and tracking multiple moving targets based on wide-area motion imagery

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Germantown, MD, United States of America

Zhijiang Chen