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公开(公告)号:US11580446B2
公开(公告)日:2023-02-14
申请号:US16654563
申请日:2019-10-16
Inventor: Jung Won Lee , Ye Seul Park , Dong Yeon Yoo , Chang Nam Lim
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.
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公开(公告)号:US11051716B2
公开(公告)日:2021-07-06
申请号:US16115821
申请日:2018-08-29
Inventor: Myung Hoon Sunwoo , Jung Won Lee , Jin Hong Kim
Abstract: Disclosed are a method and an apparatus for jaundice diagnosis based on an image. The method for jaundice diagnosis based on an image includes: receiving a jaundice diagnostic image acquired by photographing both a specific body part of a user and a reference object at a place where the user is positioned at present; generating color distortion information indicating a color distortion degree of the reference object included in the jaundice diagnostic image; generating a jaundice diagnostic correction image by correcting color distortion of the jaundice diagnostic image based on the color distortion information; and diagnosing a jaundice symptom for the user by using the jaundice diagnostic correction image.
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公开(公告)号:US10945637B2
公开(公告)日:2021-03-16
申请号:US15855504
申请日:2017-12-27
Inventor: Jin Hong Kim , Myung Hoon Sunwoo , Jung Won Lee
Abstract: Disclosed are image based jaundice analyzing method and apparatus. The image based jaundice analyzing method according to an exemplary embodiment of the present disclosure includes: receiving an image for jaundice diagnosis obtained by photographing a specific body part of a user and a reference object in a location where the user is currently located; generating color distortion information representing a degree of color distortion of the reference object included in the image for jaundice diagnosis; generating a correction image for jaundice diagnosis by correcting the color distortion of the image for jaundice diagnosis based on the color distortion information; and diagnosing a jaundice symptom of the user using the correction image for jaundice diagnosis.
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公开(公告)号:US20220226998A1
公开(公告)日:2022-07-21
申请号:US17568321
申请日:2022-01-04
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.
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公开(公告)号:US20200175420A1
公开(公告)日:2020-06-04
申请号:US16654563
申请日:2019-10-16
Inventor: Jung Won Lee , Ye Seul Park , Dong Yeon Yoo , Chang Nam Lim
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.
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公开(公告)号:US10291482B2
公开(公告)日:2019-05-14
申请号:US15335771
申请日:2016-10-27
Inventor: Jung Won Lee , Ki Yong Choi , Jeong Woo Lee
Abstract: An electronic control unit (ECU) for transmitting large data in a hardware-in-the-loop (HiL) simulation environment, a system including the same and a method thereof are provided. The electronic control unit for executing a HiL simulation includes an interface transmitting/receiving data associated with a simulation in link with a hardware-in-the-loop (HiL) simulator, a data storing unit storing data generated by executing the simulation, and a transmission agent fragmenting the stored data into multiple data and transmitting the multiple data and transmitting one data segment according to a fragmented order whenever repeatedly executing the simulation.
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公开(公告)号:US11293958B2
公开(公告)日:2022-04-05
申请号:US16375200
申请日:2019-04-04
Inventor: Jung Won Lee , Du San Baek , Yoo Rim Choi
IPC: G01R21/133 , G06N20/00
Abstract: The power measurement and analysis system of a mobile device includes: a mobile device collecting operation information of components operating in accordance with execution of an application; a measurement and analysis device supplying power to the mobile device and measuring the entire power consumption amount of the mobile device; and a learning server receiving the operation information of the components from the mobile device and the entire power consumption amount from the measurement and analysis device, learning a component state estimation model using the operation information of the components and the entire power consumption amount, and providing the learned component state estimation model to the measurement and analysis device. The measurement and analysis device estimates component states by inputting the entire power consumption amount of the mobile device to the component state estimation model, and calculates power consumption of each of the components in real time.
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公开(公告)号:US11206969B2
公开(公告)日:2021-12-28
申请号:US16108248
申请日:2018-08-22
Inventor: Jung Won Lee , Ye Seul Park , Gyu Bon Hwang
Abstract: Provided is a method for tracking a position of a capsule endoscope including: receiving, by an apparatus for tracking a position of a capsule endoscope, an image captured by the capsule endoscope; distinguishing, by the apparatus for tracking a position of a capsule endoscope, a gastrointestinal tract junction from the image using a machine-learned classification model based on the gastrointestinal tract junctions; and tracking, by the apparatus for tracking a position of a capsule endoscope, the position of the capsule endoscope based on the distinguished gastrointestinal tract junctions.
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