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公开(公告)号:US20190171942A1
公开(公告)日:2019-06-06
申请号:US16196602
申请日:2018-11-20
Inventor: Eui Hyun PAIK , Dong-Oh KANG , Jang Won BAE , Chun Hee LEE , Joon Young JUNG , Ki Ho KIM , Ok Gee Min
Abstract: A self-evolving agent-based simulation system generates model evolution strategy for applying a difference between real-data and a simulation resulting value to a simulation model, and reconstructing components included in the simulation module using the model evolution strategy to evolve the simulation model when the difference between the real-data and the simulation resulting value of the agent-based simulation model does not satisfy a value in a predetermined error range.
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公开(公告)号:US10091110B2
公开(公告)日:2018-10-02
申请号:US15227583
申请日:2016-08-03
Inventor: Yong Ju Lee , Ok Gee Min
IPC: H04L12/26 , H04L12/801 , H04L29/08
Abstract: Provided is an edge-based load shedding system. The edge-based load shedding system includes an analysis server configured to determine to perform server or edge separation execution, transmit an operational module of an analysis application, issue a request to offload the transmitted operational module, and receive and analyze data obtained through preprocessing and an edge machine configured to receive and offload the operational module from the analysis server, preprocess raw data collected from a sensor by using the offloaded operational module, and transmit the data obtained through the preprocessing to the analysis server.
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公开(公告)号:US11216733B2
公开(公告)日:2022-01-04
申请号:US16196602
申请日:2018-11-20
Inventor: Eui Hyun Paik , Dong-Oh Kang , Jang Won Bae , Chun Hee Lee , Joon Young Jung , Ki Ho Kim , Ok Gee Min
Abstract: A self-evolving agent-based simulation system generates model evolution strategy for applying a difference between real-data and a simulation resulting value to a simulation model, and reconstructing components included in the simulation module using the model evolution strategy to evolve the simulation model when the difference between the real-data and the simulation resulting value of the agent-based simulation model does not satisfy a value in a predetermined error range.
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