公开(公告)号：US09940618B2

公开(公告)日：2018-04-10

申请号：US14315980

申请日：2014-06-26

Applicant: Samsung Electronics Co., Ltd.

Inventor： Bogyeong Kang

IPC: G06Q20/00 ,  G06Q20/32 ,  G06Q20/36 ,  G07F7/10

CPC classification number: G06Q20/36 ,  G06Q20/322 ,  G06Q20/3672

Abstract: A method of and apparatus for transmitting data of a terminal which includes a wallet application used for a commercial transaction service is provided. The method includes determining wallet data which comprise payment information and non-payment information provided by the wallet application, which is able to be transmitted, and a scheme of transmitting the wallet data; notifying a receiving terminal of a transmission of the wallet data according to input transmission information; transmitting the wallet data to the receiving terminal based on the transmission method, after receiving an acceptance message from the receiving terminal; and updating information of the wallet data, which is transmitted to the receiving terminal, based on preset regulation information. The apparatus includes a wallet transmission and reception unit and a wallet management unit.

公开(公告)号：US20240028910A1

公开(公告)日：2024-01-25

申请号：US18171550

申请日：2023-02-20

Applicant: Samsung Electronics Co., Ltd.

Inventor： Yunjun Nam ,  Bogyeong Kang ,  Hyowon Moon ,  Byungseon Choi ,  Jaemyung Choe ,  Hyunjae Jang ,  In Huh

IPC: G06N3/10 ,  G06N3/08 ,  G06F30/3308

CPC classification number: G06N3/10 ,  G06N3/08 ,  G06F30/3308

Abstract: In a modeling method of a neural network, a first regression model is trained based on first sample data and first simulation result data. The first regression model is used to predict the first simulation result data from the first sample data. The first sample data represent at least one of conditions of a manufacturing process of a semiconductor device and characteristics of the semiconductor device. The first simulation result data are obtained by performing a simulation on the first sample data. In response to a consistency of the first regression model being lower than a target consistency, the first regression model is re-trained based on second sample data different from the first sample data. The second sample data are associated with a consistency reduction factor of the first regression model that is responsible for a prediction failure of the first regression model.