公开(公告)号：US11580446B2

公开(公告)日：2023-02-14

申请号：US16654563

申请日：2019-10-16

Applicant: AJOU UNIVERSITY INDUSTRY-ACADEMIC COOPERATION FOUNDATION

Inventor： Jung Won Lee ,  Ye Seul Park ,  Dong Yeon Yoo ,  Chang Nam Lim

IPC: G06N20/00 ,  G06K9/62 ,  G06T7/00

Abstract: The present disclosure relates to a method for filtering selectively obstacle to be an obstacle to machine learning according to a learning purpose and a system thereof. A system for filtering obstacle data in machine learning of medical images may include an obstacle data definition unit configured to receive definitions of obstacle data according to a machine learning purpose; a filter generation unit configured to generate a filter for filtering the obstacle data; and a filtering unit configured to remove obstacle data in machine learning using the generated filter.

公开(公告)号：US20220226998A1

公开(公告)日：2022-07-21

申请号：US17568321

申请日：2022-01-04

Applicant: AJOU UNIVERSITY INDUSTRY-ACADEMIC COOPERATION FOUNDATION

Inventor： Jung Won Lee ,  Ye Seul Park ,  Dong Yeon Yoo

IPC: B25J9/16

Abstract: The present invention relates to a method and apparatus for tracing a fault of a collaborative robot, including the steps of setting, by an electronic device, a basic index which serves as an analysis criterion of operational data generated by the collaborative robot, setting, by the electronic device, an analysis index for analyzing the operational data, receiving, by the electronic device, a plurality of operational data from the collaborative robot, and tracing, by the electronic device, a fault generated in at least one of the plurality of operational data using the basic index and the analysis index, and the application to other exemplary embodiments is possible.

公开(公告)号：US20200175420A1

公开(公告)日：2020-06-04

申请号：US16654563

申请日：2019-10-16

Applicant: AJOU UNIVERSITY INDUSTRY-ACADEMIC COOPERATION FOUNDATION

Inventor： Jung Won Lee ,  Ye Seul Park ,  Dong Yeon Yoo ,  Chang Nam Lim

IPC: G06N20/00 ,  G06T7/00 ,  G06K9/62

Abstract: The present disclosure relates to a method for filtering selectively obstacle to be an obstacle to machine learning according to a learning purpose and a system thereof. A system for filtering obstacle data in machine learning of medical images may include an obstacle data definition unit configured to receive definitions of obstacle data according to a machine learning purpose; a filter generation unit configured to generate a filter for filtering the obstacle data; and a filtering unit configured to remove obstacle data in machine learning using the generated filter.