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公开(公告)号:US20240211721A1
公开(公告)日:2024-06-27
申请号:US18389848
申请日:2023-12-20
Inventor: Sung-Ju LEE , Dong Hwi KIM , HyungJun YOON , Yewon KIM , Sujin HAN
Abstract: There is provided a method for inferring a result data corresponding to an input data using an adaptive deep learning model in a mobile terminal including a memory and a processor. The method comprises determining computing resource information of the mobile terminal; determining a basic deep learning model stored in the memory of the mobile terminal; generating the adaptive deep learning model by transforming the basic deep learning model based on allocable resources determined with reference to the computing resource information of the the mobile terminal, wherein the adaptive deep learning model has a number of layers less than the basic deep learning model; and inputting the input data into the adaptive deep learning model in the mobile terminal to determine the inferred result data to be outputted from the adaptive deep learning model.
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公开(公告)号:US20180199219A1
公开(公告)日:2018-07-12
申请号:US15432552
申请日:2017-02-14
Inventor: Yongdae KIM , Byeong Do HONG , Sung-Ju LEE , Shinjo PARK , Hongil KIM , HyunWook HONG , Dongkwan KIM , Hyunwoo CHOI
CPC classification number: H04W24/08 , H04L43/0823
Abstract: A network anomaly diagnosis device and a method thereof are provided. The network anomaly diagnosis device includes a data analyzer configured to receive a control plane message for a service provided to a terminal by a mobile network operator (MNO) from the terminal and analyze the control plane message, a database configured to collect results of analyzing control plane messages for services provided to the terminal by different MNOs including the MNO from the data analyzer and store the result of analyzing the control plane message for each MNO, and a controller configured to compare the result of analyzing the control plane message of the MNO at the data analyzer with the result of analyzing the control plane message for each MNO, the result being stored in the database.
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