Samsung Electronics Co., Ltd.

Samsung Display Co., Ltd.

Electronics and Telecommunications Research Institute

Lg Chem, Ltd

Korea University Research and Business Foundation

Skhynix Inc.

Kmw Inc

Other

Yonsei University

Hyundai Motor Company

Kia Motors Corporation

Korea Advanced Institute of Science and Technology

Sungkyunkwan University

Korea Research Institute of Chemical Technology

Samsung Sds Co., Ltd.

Jae-Hong Kim

Myeong-Suk Kim

Jun-Jin Kong

Do-Hyung Kim

Hye-Jung Cho

Sung-Wook Kim

Jae-geol Cho

Seung-Hwan Song

Ki-Seon Park

Won-Joon Choi

Guk-Cheon Kim

Yang-Kon Kim

Byung-Chul Kim

Duk-Yong Kim

Myung-Sun Kim

Kyeong Seok Lee

Young-Hwan Lee

Jun Jin Kong

Chang-Oh Jeong

Yu-Gwang Jeong

Sang-Gab Kim

Sun-Tae Jung

Kyoung Lae Cho

Shin-Il Choi

Sam-Il Kho

Joo-han Kim

Ji-Young Park

Seong-je Cho

Chang-Soo Lee

Yoon-Hyun Kwak

Jae-Ho Jung

Chang-Hyun Kim

Byeong-Chan Lee

Bo-Kun Choi

Jong-Hyun Park

Dong-Hyuk Chae

Sang-Min Lee

Dong-Wook Kim

Se-Hun Kim

Kang-jin Yoon

Hong-Rak Son

Jun-Bo Yoon

Young-hyun Kim

Seog-Heon Ham

Nam-Shin Park

Jong-Seon No

Sun-tae Jung

Soung-Wook Kim

Chong-Kyu Shin

Min-Su Jang

Jae-Yeon Lee

Jin-Soo Hwang

Phill Lee

Young-Seop Shim

Min-Suk Lee

Moon-Jae Lee

Yong-June Kim

Jong-Koo Lim

Cha-Deok Dong

Bo-Mi Lee

Seung-Mo Noh

Wun-Ki Jung

Kyoung-Lae Cho

Heui-seog Kim

Ki-Yeup Lee

Kwi-Sung Yoo

Jong-Keun Jeon

Hee-Joon Kim

Dong-Ju Yang

Jin-Ho Seo

Kwang-bok Kim

Yeo-Geon Yoon

Chang-Hoon Kim

Eun-Young Kim

Yoon Dong Park

Yun-Jong Yeo

Jeong-Myeong Kim

Eun-chu Oh

Youngcheol Chae

Kwan-Woo Song

Chul-Ho Cho

Sun-Mi Jin

Dae-hyun Ban

Hye-Jin Kwon

Chang-Ho Kim

Myung-jin Eom

Sung-wook Choi

Yong-Hwan Kim

Yoon-Ho Kang

Chul-ho Cho

Oleksandr Shchur

Won-Jong Kwon

Seung-hyun Lim

Seung-hwan Kim

Jeong-Dan Choi

Myung-Kyu Lee

Kyung-Jae Kim

Ki-Jun Lee

Ju-hee Kim

Jea-Hyuck Lee

A method performed by a managing server includes: receiving, from an electronic device, operation data of the electronic device; identifying, by using artificial intelligence (AI), a device usage pattern of the electronic device; identifying, by using the AI, information related to a failure or an abnormal operation of the electronic device and a solution to the failure or the abnormal operation based on the device usage pattern and the operation data received from the electronic device; and transmitting, to a user terminal, the information related to the failure or the abnormal operation of the electronic device and the solution to the failure or the abnormal operation.

Method and apparatus for managing operation data of appliance for failure prediction

Disclosed herein are an apparatus and method for evaluating a human motion using a mobile robot. The method may include identifying the exercise motion of a user by analyzing an image of the entire body of the user captured using a camera installed in the mobile robot, evaluating the pose of the user by comparing the standard pose of the identified exercise motion with images of the entire body of the user captured by the camera of the mobile robot from two or more target locations, and comprehensively evaluating the exercise motion of the user based on the pose evaluation information of the user from each of the two or more target locations.

Apparatus and method for evaluating human motion using mobile robot

Disclosed herein are an apparatus and method for classifying clothing attributes based on deep learning. The apparatus includes memory for storing at least one program and a processor for executing the program, wherein the program includes a first classification unit for outputting a first classification result for one or more attributes of clothing worn by a person included in an input image, a mask generation unit for outputting a mask tensor in which multiple mask layers respectively corresponding to principal part regions obtained by segmenting a body of the person included in the input image are stacked, a second classification unit for outputting a second classification result for the one or more attributes of the clothing by applying the mask tensor, and a final classification unit for determining and outputting a final classification result for the input image based on the first classification result and the second classification result.

Apparatus and method for classifying clothing attributes based on deep learning

Disclosed are a refrigerator and a method for displaying a user interface on the refrigerator, a user terminal, and a method for performing a function in the user terminal. The refrigerator according to the present disclosure may include: a storage chamber storing food therein; a temperature detection unit configured to detect the internal temperature of the storage chamber; a cooling unit configured to supply cold air to the storage chamber; a camera configured to photograph food in the storage chamber; a communication unit configured to communicate with a user terminal; a display; at least one processor electrically connected to the temperature detection unit, the camera, the cooling unit, and the communication unit; and a memory electrically connected to the at least one processor.

Refrigerator and method for displaying user interface on refrigerator, user terminal, and method for performing function in user terminal

Disclosed herein are an apparatus and method for generating robot interaction behavior. The method for generating robot interaction behavior includes generating co-speech gesture of a robot corresponding to utterance input of a user, generating a nonverbal behavior of the robot, that is a sequence of next joint positions of the robot, which are estimated from joint positions of the user and current joint positions of the robot based on a pre-trained neural network model for robot pose estimation, and generating a final behavior using at least one of the co-speech gesture and the nonverbal behavior.

Apparatus and method for generating robot interaction behavior

The present disclosure relates to a system that obtains at least one of a recommended temperature and an operation mode to be set on an air conditioner by applying a position of a user and an ambient temperature of the air conditioner to a learning model trained by using an artificial intelligence algorithm, and sets at least one of the obtained recommended temperature and the obtained operation mode on the air conditioner. In this case, the learning model may be, for example, a model generated by using at least one of machine learning, a neural network, or a deep learning algorithm as the artificial intelligence algorithm.

Air conditioner and method for controlling air conditioner

The present disclosure relates to a control apparatus and method for a device that has been made intelligent through combination with Internet of Things (IoT) technology. The present disclosure may be applied to intelligent service (for example, smart home, smart building, smart city, smart car or connected car, health care, digital education, small retailers, security and safety-related service, etc.) which is based on IoT-related technology. A method for controlling a first device at the first device according to some embodiments of the present disclosure may comprise the steps of: receiving control state information on a second device from the second device; acquiring a control signal for the first device; on the basis of at least one of the received control state information and the acquired control signal, selecting one from among at least one or more stored control rules; and executing a control operation for the first device on the basis of the selected control rule.

Method and apparatus for controlling device

A method performed by an appliance includes receiving, from a managing server, information about a data pattern detection routine to detect abnormal data among operation data of the appliance, determining whether the operation data of the appliance matches a normal data pattern defined by the data pattern detection routine, determining the operation data as the abnormal data when the operation data does not match the normal data pattern, and transmitting the abnormal data to the managing server.

A glass run of a door having improved the air-tightly sealing performance, in the glass run of the door mounted on a door frame to support the circumference of the door glass in the door of a vehicle, wherein the glass may include an internal glass run to be mounted on the door frame to be in contact with the internal surface of the door glass; and an external glass run to be mounted on a portion of the door frame where a garnish is attached, and to support an end portion of the door glass, and wherein the external glass run includes a support member for keeping a state in which the internal glass run has been initially mounted on the door.

Glass run of door having improved air-tightly sealing performance

A portable bio information measuring device is provided. The portable bio information measuring device includes a circuit board placed in the portable bio information measuring device, a housing accommodating the circuit board, an electrode to measure bio information, and a connecting member electrically connecting the circuit board with the electrode. The electrode is configured as at least one of a transparent electrode, a conductive decoration, and a conductive printed electrode.

Portable bio information measuring device

Disclosed herein are an apparatus for writing a motion script and an apparatus and method for self-teaching of a motion. The method for self-teaching of a motion, in which the apparatus for writing a motion script and the apparatus for self-teaching of a motion are used, includes creating, by the apparatus for writing a motion script, a motion script based on expert motion of a first user; analyzing, by the apparatus for self-teaching of a motion, a motion of a second user, who learns the expert motion, based on the motion script; and outputting, by the apparatus for self-teaching of a motion, a result of analysis of the motion of the second user.

Apparatus for writing motion script, apparatus for self-teaching of motion and method for using the same

A carbazole-based compound and an organic light-emitting device including the carbazole-based compound, the compound being represented by one of the following Formulae 1 to 3: 

Carbazole-based compound and organic light emitting device including the same

In a method of testing an interconnection substrate, a blocking condition of a reference light reflected from a probe having an intrinsic optical characteristic may be set. An electric field emitted from a test interconnection substrate having a plurality of circuits may change the intrinsic optical characteristics of the probe into test optical characteristics. Light may be irradiated to the probe having the test optical characteristics. The reference light reflected from the probe having the test optical characteristic may be blocked in accordance with the blocking condition. The remaining reflected light that may be due to an abnormal circuit may be detected.

Method of testing an interconnection substrate and apparatus for performing the same

An apparatus for testing a wiring circuit includes: a circuit substrate having wirings in the circuit substrate and pads on an upper surface of the circuit substrate and connected to the wirings; an electrode below a lower surface of the circuit substrate; an optical sensor above the upper surface of the circuit substrate and configured to detect a signal emitted from the upper surface of the circuit substrate; and an optical unit above the optical sensor and configured to irradiate light, wherein the optical sensor includes: an optical substrate whose optical characteristics are changed by the signal emitted from the upper surface of the circuit substrate; and a patterned reflective layer on a surface of the optical substrate facing the circuit substrate, the patterned reflective layer having a first region reflecting light incident on the optical substrate and a second region transmitting the light incident on the optical substrate.

Apparatus and method of testing a wiring circuit

Growing community of inventors

Seoul, South Korea

Jae-Hong Kim