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1.发明公开公开(公告)号：US20240220570A1
公开(公告)日：2024-07-04
申请号：US18535013
申请日：2023-12-11
Inventor： Jung Won LEE , Min Seo CHOI , Dong Yeon YOO
IPC: G06F17/14 , G06F18/2131
CPC classification number: G06F17/142 , G06F18/2131 , G06F2218/08 , G06F2218/12
Abstract: A fault signal detection method includes acquiring decomposition signals according to a frequency band, by decomposing an original signal in the time domain into a certain number of frequency band signals, combining the certain number of decomposition signals and calculating a classification result value for classifying the original signal into a normal signal or a fault signal using a classification model using at least one decomposition signal included in a combination method as input and determining a combination method for detecting a fault signal based on classification result values of the classification model.
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公开(公告)号：US20230126283A1
公开(公告)日：2023-04-27
申请号：US17972538
申请日：2022-10-24
Inventor： Jung Won LEE , Ye Seul PARK , Dong Yeon YOO , Ji Hoon BAEK
IPC: G06F11/07
Abstract: The present invention relates to a method and apparatus for fault diagnosis of a programmable robot, and includes the steps of collecting sensing data corresponding to an operation of a programmable robot, identifying a program and motion related to the sensing data, generating an execution pattern based on the sensing data, extracting a standard pattern corresponding to the identified program and motion, and diagnosing a fault of the programmable robot by comparing the standard pattern with the execution pattern, and the present invention may be applicable as another embodiment.
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3.发明申请公开(公告)号：US20170331699A1
公开(公告)日：2017-11-16
申请号：US15335771
申请日：2016-10-27
Inventor： Jung Won LEE , Ki Yong CHOI , Jeong Woo LEE
CPC classification number: H04L41/145 , G05B17/02 , G05B2219/23446 , G06F17/5009 , G06F2217/86 , H04L12/40 , H04L43/50 , H04L67/12 , H04L2012/40215
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：US20230131202A1
公开(公告)日：2023-04-27
申请号：US17972550
申请日：2022-10-24
Inventor： Jung Won LEE , Ye Seul PARK , Dong Yeon YOO , Jin Se KIM
Abstract: The present invention relates to a method and system for health monitoring of a collaborative robot, includes the steps of calling a test program installed in a collaborative robot for health monitoring of the collaborative robot when the collaborative robot satisfies a call condition of the test program, performing a test by operating the collaborative robot based on the test program, and collecting and analyzing a result of the test by the collaborative robot, and may be applicable as another embodiment.
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公开(公告)号：US20240066703A1
公开(公告)日：2024-02-29
申请号：US18261440
申请日：2021-12-21
Inventor： Jung Won LEE , Ye Seul PARK , Dong Yeon YOO , Yang Gon KIM , Su Bin BAE
IPC: B25J9/16
CPC classification number: B25J9/1674 , B25J9/1682
Abstract: The present invention relates to a method and device for diagnosing a defect of a collaborative robot, the method comprising the steps in which: an electronic device generates a sensing data structure for managing sensing data collected from at least one collaborative robot; the electronic device generates an operation data structure for managing operation data associated with the operation of the collaborate robot; the electronic device generates a malfunction data structure for managing malfunction data of a point in which the severity of the operation equals to or is higher than a threshold; and the electronic device stores data collected from the at least one collaborative robot in accordance with the structures. Application to other embodiments is also possible.
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Patent Agency Ranking
6.发明公开公开(公告)号：US20230177684A1
公开(公告)日：2023-06-08
申请号：US18057422
申请日：2022-11-21
Inventor： Jung Won LEE , Yang Gon KIM , Su Bin BAE , Hyeon Woong JANG
CPC classification number: G06T7/0012 , G06T7/33 , G06T7/68 , G06V10/26 , G06T2207/30012 , G06T2207/30061 , G06V2201/033 , G06V2201/031 , G06T2207/10116
Abstract: The present invention relates to a method and apparatus for evaluating inspiration-level quality of a chest radiographic image, wherein the method includes extracting a lung region from a chest radiographic image, detecting a rib cage from the extracted lung region, analyzing a degree of inspiration when the chest radiographic image is captured, and evaluating quality of the chest radiographic image. It is possible for the present invention to be applied to other embodiments.
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7.发明申请公开(公告)号：US20190125163A1
公开(公告)日：2019-05-02
申请号：US16170257
申请日：2018-10-25
Inventor： Jung Won LEE , Ye Seul PARK , Gyu Bon HWANG
Abstract: According to an exemplary embodiment of the present disclosure, a capsule endoscopic image analyzing method includes: receiving signs from a user, by a capsule endoscopic image analyzing apparatus; determining a disease which shows the signs using disease information included in a knowledge model, by the capsule endoscopic image analyzing apparatus; determining findings which are found from a gastrointestinal tract due to the disease using findings included in the knowledge model, by the capsule endoscopic image analyzing apparatus; and separately providing only frames in which the findings appear in an image photographed by a capsule endoscope, by the capsule endoscopic image analyzing apparatus.
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公开(公告)号：US20190110716A1
公开(公告)日：2019-04-18
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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9.发明申请公开(公告)号：US20180314614A1
公开(公告)日：2018-11-01
申请号：US15890839
申请日：2018-02-07
Inventor： Jung Won LEE , Du San BAEK , Yoo Rim CHOI
Abstract: An apparatus for analyzing a cause of excessive power consumption of an application according to an exemplary embodiment of the present disclosure includes: an estimating unit which estimates a context which is a specific situation defined in accordance with an environment in which the application is executed, based on operation information on an operation of corresponding modules which correspond to an application which is being currently executed and coding information of the application; a calculating unit which calculates a power consumption against power limit regarding whether the real-time power consumption exceeds a threshold value, based on real-time power consumption for every corresponding module and the threshold value for the power consumption requirement for every corresponding module; and a storing unit which matches and stores the calculated power consumption against power limit and the estimated context.
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10.发明申请公开(公告)号：US20200175340A1
公开(公告)日：2020-06-04
申请号：US16655443
申请日：2019-10-17
Inventor： Jung Won LEE , Ye Seul PARK , Dong Yeon YOO , Chang Nam LIM
Abstract: The present disclosure relates to a method for evaluating quality of a medical image dataset and a system thereof capable of confirming whether medical image data is suitable to be used for machine learning. Evaluation items may include data normality which means a ratio of normal frames in all frames; learning fitness which means a ratio of labeled or labelable frames in the received data; and anatomical completeness which means a ratio of anatomical elements included in the received data against anatomical elements based on medical standards.
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