Samsung Electro-mechanics Co., Ltd.

Ajou University Industry-academic Cooperation Foundation

Samsung Electronics Co., Ltd.

Sk Planet Co., Ltd.

Semisolution Inc.

Semisolution Co., Ltd.

Hyundai Electronics Industries Co. Ltd.

Pantech & Curitel Communications, Inc.

Korea Astronomy and Space Science Institute

Woori Technologies Corporation

Flexolution

Jung Won Lee

Jong Woon Kim

Won Kyu Jeung

Yul Kyo Chung

Sang Woo Yu

Seung Joo Shin

In Hyung Lee

Hae Seong Jang

Hye Soon Kim

Jae Jin Kim

Ki Hyong Lee

Ye Seul Park

Jung Min Kim

Byung Woo Kang

Bon Seok Koo

Yun Sung Kang

Seung Hun Han

Jong Chul Choi

Heung Woo Park

Ji Hye Han

Sang Wook Lee

Hye Jin Park

Hong Je Choi

Min Su Jung

Seung Ah Oh

Dong Yeon Yoo

Seung Eun Lee

Jae Wan Kim

Jung Sik Park

Kwang Tai Kim

Jin Hong Kim

Myung Hoon Sunwoo

Jong Woo Jung

Sung Won Hong

Hyun Soo Nah

In Sik Myung

In Young Choi

Du San Baek

Yoo Rim Choi

So Young Lee

Yong Jong Park

Ji Young Lee

Sung Ho Kim

Sang Jin Kim

Seung Mo Lim

Dong Hun Kim

Sung Jun Lee

Dong Kyun Kim

Sang Yun Lee

Woong Il Choi

Bae Kyun Kim

Jae Ho Baik

Jeong Suong Yang

Seung Min Choi

Hyung Sup Byeon

Sung Yi

Jung Eun Noh

Seung Heon Han

Kyo Yeol Lee

Yong Seok Lee

Jung Tae Park

Jin Seon Park

Hyun Ju Hong

Jin Sang Hwang

Kuk Hwan Kim

Min Sung Lee

Woon Geun Kwak

Il Kweon Joung

Byoung Uk Yoon

Jung Hee Yeo

Min Kyu Choi

Chae Whan Lim

Chung Ha Kim

Sung Soo Kim

Sung Jin Yum

Joo Ho Seo

Han Gil Song

Gyu Bon Hwang

Chang Nam Lim

Sung Hwan Kang

Jeong Woo Lee

Min Jun Kim

Jang Hee Ryu

Seok Yong Hong

Jeong Ho Lim

Ki Yong Choi

Byung Ik Song

Hang Geun Jeong

Seog Tae Han

Do Heung Je

Moon Hee Chung

Feng Ma

Yang Gon Kim

Ji Hyung Kim

Seung Kweon Jeong

Myoung Kyu Rhee

Su Bin Bae

Jin Se Kim

Bong Soo Jung

Jung Min Jang

A method and system for health monitoring of a collaborative robot are provided. The method includes 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.

Method and system for health monitoring of collaborative robot

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.

Data management method and device for diagnosing defect of collaborative robot

A rack apparatus for module attachment/detachment in a modular control and monitoring system is disclosed. In the rack apparatus, individual functional modules configured to perform control and monitoring functions and terminal block modules connected to external devices or external systems by cables and configured to perform input/output interface functions of respective individual functional modules are implemented such that attachment and detachment of the individual functional modules and the terminal block modules are achieved in a separate manner and such that attachment and detachment of the terminal block modules are achieved on the basis of respective individual functional modules. Accordingly, it is possible to easily and conveniently replace a failed one of the individual functional modules with a new one without requiring a cable connection task.

Module attach/detach rack apparatus for module type control and monitoring system

Proposed are a dodecyl sulfate-doped PEDOT film and a manufacturing method therefor, the method including: coating, on a substrate, an oxidizing agent film including a dodecyl sulfate metal salt such as Fe(DS); and forming a PEDOT film by vapor phase polymerization. The dodecyl sulfate-doped PEDOT film according to the present disclosure has excellent electrical conductivity so as to be capable of replacing a metal, and has excellent mechanical durability, light transmittance, and aqueous solution stability.

Dodecyl sulfate-doped poly(3,4-ethylenedioxythiophene) film and manufacturing method therefor

A multilayer electronic component includes a body including a dielectric layer and an internal electrode, and an external electrode disposed on the body. The external electrode includes an electrode layer connected to the internal electrode, an intermetallic compound layer disposed on the electrode layer and including a first intermetallic compound and glass, and a conductive resin layer disposed on the intermetallic compound layer and including a conductive connection portion including a second intermetallic compound and a low-melting-point metal, a plurality of metal particles, and a resin. A ratio of a length of a first direction component of a region having the first intermetallic compound, with respect to a length of a first direction component of the intermetallic compound layer, is 20% or more.

Multilayer electronic component with conductive resin layer

An analog switch circuit in a successive approximation register analog-to-digital converter for a wide sampling rate includes a first PMOS switch controlled by a voltage of a second control node, second PMOS switch controlled by a control voltage, a first control switch unit controlling voltages of first and second control nodes, a first NMOS switch controlled by a voltage of a fourth control node, a second NMOS switch controlled by the control voltage und, and a second control switch unit controlling voltages of third and fourth control nodes.

Successive approximation register analog-to-digital converter for wide sampling rate

A capacitor component includes a body including a dielectric layer and an internal electrode layer; and an external electrode disposed on one surface of the body, wherein the external electrode includes first electrode layers disposed on the one surface of the body to be spaced apart from each other, and covering a region of the one surface of the body through which the internal electrode layer is exposed; a second electrode layer including a base resin and a conductive connection portion disposed in the base resin, and disposed on the one surface of the body to cover the first electrode layers; and an intermetallic compound disposed only between each of the first electrode layers and the second electrode layer.

Capacitor component

A multilayer capacitor includes a body including a stack structure in which at least one first internal electrode and at least one second internal electrode are alternately stacked in a first direction with at least one dielectric layer interposed therebetween; and first and second external electrodes spaced apart from each other and disposed on the body, wherein each of the first and second external electrodes includes a conductive resin layer including a resin, a plurality of metal particles, and a conductive connection portion connecting portions of the plurality of metal particles to each other, and in the conductive resin layer, a volume ratio of metal particles spaced apart from the conductive connection portion, among the plurality of metal particles, to a sum of the plurality of metal particles and the conductive connection portion is greater than 0% and less than 4.9%.

Multilayer capacitor

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.

Method and system for filtering obstacle data in machine learning of medical images

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.

Power measurement and analysis system of mobile device and method thereof

An apparatus for controlling batteries includes a first current sensor configured to sense a first current flowing from a first battery to an output unit, a first current limiter configured to use a sensing result of the first current sensor to limit an increase of the first current when the first current exceeds a reference current, and a second current activator configured to draw a second current of a second battery to the output unit based on the limiting of the first current limiter.

Apparatus for controlling batteries and electronic device including batteries

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.

Method and apparatus for tracking position of capsule endoscope

An antenna module including two or more substrates stacked and having different flexibility, a patch antenna disposed above or within an uppermost substrate from among the two or more substrates, and an IC disposed below or within a lowermost substrate from among the two or more substrates, and electrically connected to the patch antenna through the substrates, wherein the two or more substrates comprise a first substrate and a second substrate, and wherein the second substrate is more flexible than the first substrate, and extends in a lateral direction to have an overlap region overlapping the first substrate and an extension region not overlapping the first substrate.

Antenna module

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.

Method and apparatus for jaundice diagnosis based on an image

An electronic device is disclosed. The electronic device may include a front display and a rear display, a touch panel to sense a user input, a camera disposed on a rear surface of the electronic device, and at least one processor. The at least one processor may output an image, which is obtained by the camera in a first shooting mode, to the rear display, output the image, which is obtained by the camera in a second shooting mode, to the front display, and control the camera in response to the user input sensed to the front display. Moreover, various embodiment found through the disclosure are possible.

Electronic device having double-sided display and method for controlling application

Growing community of inventors

Seoul, South Korea

Jung Won Lee