公开(公告)号：US10476857B2

公开(公告)日：2019-11-12

申请号：US15353953

申请日：2016-11-17

Applicant: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE

Inventor： Eun Seo Lee ,  Hark Jin Lee ,  Jun Hee Park ,  Ho Jin Park

IPC: H04L29/08 ,  H04L29/06 ,  H04W12/06 ,  H04W4/70

Abstract: A communication method and apparatus between heterogeneous platforms. A communication method of an interaction server that enables an interaction between a first platform server and a second platform server providing different platforms includes receiving, from the first platform server, a token request that includes first user identification information registered to the first platform server; transmitting, to the first platform server, a token that is created based on integrated user identification information corresponding to the first user identification information; receiving, from the second platform server, a request for verifying a validity of the token transferred from the first platform server to the second platform server; and transferring, to the second platform server in response to the validity of the token, second user identification information that corresponds to the integrated user identification information and is registered to the second platform server.

公开(公告)号：US11709474B2

公开(公告)日：2023-07-25

申请号：US17136654

申请日：2020-12-29

Applicant: Electronics and Telecommunications Research Institute

Inventor： Hyun Chui Kang ,  Ho Jin Park ,  Ji Yeon Son ,  Eun Seo Lee

IPC: G06N20/00 ,  G06F18/214 ,  G05B19/4063 ,  G05B19/418

CPC classification number: G05B19/4063 ,  G05B19/4183 ,  G05B19/4184 ,  G05B19/4185 ,  G05B19/41865 ,  G06F18/214 ,  G06N20/00

Abstract: A method and apparatus for detecting an abnormality of a manufacturing facility is disclosed. According to an example embodiment of the present disclosure, a learning model generating method for manufacturing facility abnormality detection may include receiving a measured value for a normal state of a manufacturing facility collected through a multi-sensor on a time-by-time basis, generating a learning model including a predetermined weight set and training the learning model using the measured value, and determining, using the learning model, a threshold corresponding to a boundary between the normal state and an abnormal state of the manufacturing facility and a criterion for determining the abnormal state in a local window representing a predetermined time interval.