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公开(公告)号:US20240219508A1
公开(公告)日:2024-07-04
申请号:US18121151
申请日:2023-03-14
Inventor: Jaeuk BAEK , Sang Joon PARK
CPC classification number: G01S5/02524 , G06N3/045 , G06N3/08
Abstract: A preprocessing method of a data preprocessing device is provided. The preprocessing method includes dividing a region, where the target object is located, into coarse grids and generating first sample data including a similarity value between a virtual sensor measurement value and a real sensor measurement value measured in each of the coarse grids, dividing each coarse grid into fine grids and generating second sample data including a similarity value between a virtual sensor measurement value and a real sensor measurement value measured in each of the fine grids, dividing each fine grid into finer grids and generating third sample data including a similarity value between a virtual sensor measurement value and a real sensor measurement value measured in each of the finer grids, and inputting the training data, including the first to third sample data, to the deep learning model.
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公开(公告)号:US20230084278A1
公开(公告)日:2023-03-16
申请号:US17675990
申请日:2022-02-18
Inventor: Jaeuk BAEK
Abstract: The present invention relates to a system and method for hypergraph-based multi-agent battlefield situation awareness. The system for hypergraph-based multi-agent battlefield situation awareness according to the present invention includes a knowledge graph generation unit configured to receive pieces of data collected by agents as an input and generate agent knowledge graphs including nodes, relations, and node embedding vectors for each agent, a knowledge graph concatenation unit configured to analyze a similarity between the respective agents and a similarity between the pieces of data and concatenate the plurality of agent knowledge graphs to generate a global knowledge graph, and a battlefield situation awareness unit configured to infer a battlefield situation using a battlefield situation hierarchical structure and the global knowledge graph.
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