Lg Electronics Inc.

Samsung Electronics Co., Ltd.

Lg Display Co., Ltd.

University of Toronto

Medipixel, Inc.

Adeka Corporation

Nissan Chemical Corporation

Inha-industry Partnership Institute

Coreline Soft Co., Ltd.

Lh Electronics Inc.

Hyunwoo Kim

Hongjo Shim

Youngho Sohn

Youngho Kim

Joungyoung Joung

Mihyun Park

Seonghyok Kim

Jihoon Park

Hyunok Lee

Jihun Heo

Gukchan Lim

Jisoo Park

Hwitae Lim

Hyejin Kim

Chohee Kwon

Chawon Koh

Min Soo Kim

Hyunggon Ryu

Juhyeon Park

Woonlee Park

SungWoo Kim

Joonhyung Kim

Jinyeong Kim

Bongjae Rhee

Sungho Woo

Yoonwoo Lee

Mansoo Sin

Sungwoo Kim

HongJu Lee

Sungdeuk Park

Sumin Kim

Sunyoung Lee

Shigenobu Maeda

Hyun Jae Lee

Yoonhyun Kwak

Junseop Lee

Youngjoo Cho

Seungchul Cho

Aram Jeon

Hyeon Ho Son

Eunkyung Lee

Sungwon Choi

Byunghee Sohn

Beom-Jin Kim

Hyunji Song

Hyunseok Hong

Jongsung Lee

Hyojin Yun

Eunsung Kim

Heeseung Choi

Ju-Young Kim

Youngmin Nam

Jinho Kim

Jin Su Park

Hyunjin Kim

Sangmin Lee

Jaehyun Park

Taehee Lee

Su Jin Kim

Makoto Nakajima

Byungwoon Jung

Jung Hwan Kim

Younsoo Kim

Chisang You

Byung Lyul Park

Kyuho Lee

Wataru Shibayama

HyeonHo Son

Hyengcheul Choi

Atsushi Yamashita

Shuhei Shigaki

Chanmin Park

Jaehun Jun

Younjoung Cho

Juyoung Kim

Su-Min Park

Satoshi Takeda

Kiyoshi Murata

Yusin Yang

Seok Heo

Dongsu Han

Jaeyoun Yi

Chungsam Jun

Sangkil Lee

Seonghwan Ju

Donghoon Yu

Boseok Moon

Sojung Jung

Jungwhan Kim

Haruyoshi Sato

JaeKyu Park

Sangwon Chae

Taehan Jeon

Ki-Jeong Kim

Hyosung Lee

Bongchoon Kwak

Youngjae Oh

Ansun Hyun

Minjae Kim

So-Ra Han

A method for scoring training data samples according to an ability to preserve latent decision boundaries for previously observed classes while promoting learning from an input batch of new images from an online data stream, comprising: receiving the input batch of the new images from the online data stream, performing a memory retrieval process that retrieves data to be learned along with a new set of data from the memory to retain the previously learned knowledge, and performing a memory update process that selects and exchanges a small set of data to be saved in the memory in the memory update process. In addition, the method performs data valuation based on KNN-SV for both the memory retrieval and memory update processes to perform strategic and intuitive data selection based on the properties of KNN-SV.

Online class-incremental continual learning with adversarial shapley value

A grip device is provided. A grip device according to an embodiment of the present disclosure includes: a first finger; a second finger facing the first finger; a first link part including a first guide slot and supporting the first finger; a second link part supporting the second finger and including a second guide slot, intersecting the first link part; a hinge configured to move inside the first guide slot and second guide slot and connecting the first link part and the second link part at an intersection point of the first link part and second link part; a first actuator configured to adjust a distance between the first finger and second finger by moving the first link part and/or the second link part; and a second actuator configured to move the hinge inside the first guide slot and second guide slot.

Grip device and robot device comprising same

An electronic device includes a display and a processor configured to identify whether an application installed and mapped to a predefined user context predefined in the electronic device is being executed in the electronic device, based on the application being executed in the electronic device, recognize the predefined user context by using information on mapping between the application and the predefined user context, collect a usage log of the electronic device and store the usage logs, identify a usage pattern according to a user characteristic by analyzing the stored usage logs, generate a personalized user context corresponding to an undefined situation not predefined in the electronic device based on the usage pattern and control the display to output a recommendation function related to the recognized predefined user context or the personalized user context in the display in response to recognizing the predefined user context or the personalized user context.

Electronic device and method for providing personalized user context aware service

According to certain embodiments, an electronic device comprises: a housing; a protrusion from a side surface of the housing including a first window and a second window; a first board disposed inside the housing; a second board connected to one surface of the first board; a first sensor circuit mounted on a first surface of the second board, disposed in the protrusion, and spaced apart from and under the first window; and a second sensor circuit mounted on a second surface of the second board facing in a direction opposite to the first surface of the second board, disposed in the protrusion, and spaced apart from and above the second window.

Electronic device including biometric recognizing module

Provided is a mobile terminal which can additionally mount antennas without needing to change the positions of buttons and thus without reducing the usability thereof, the mobile terminal comprising: an antenna module disposed inside the side surface of a case; and a user input module overlappingly disposed inside the antenna module and including a force sensor for pressure sensing.

Antenna for a mobile terminal that overlaps a side button

An yttrium compound and a method of manufacturing an integrated circuit device, the compound being represented by General Formula (I):

Yttrium compound and method of manufacturing integrated circuit device by using the same

A method comprises receiving a user input to select a first point and a second point from a medical image, extracting a plurality of blood vessel regions from a plurality of frame images of the medical image, determining a plurality of first regions associated with the first point and a plurality of second regions associated with the second point, determining a first frame image and a second frame image with the contrast agent arriving at the first point and the second point, based on a change in pixel intensity for each of the plurality of first regions and the plurality of second regions, and computing the blood flow velocity from the first point to the second point based on a time interval between the first frame image and the second frame image and on a distance between the first point and the second point.

Method and system for computing blood flow velocity based on medical image

A method of manufacturing a semiconductor device, the method including forming a photoresist material layer on a lower film, the photoresist material layer including a crosslinking molecule having a molecular weight of about 1,000 to about 4,000; exposing a partial region of the photoresist material layer; removing an unexposed portion of the photoresist material layer to form a photoresist pattern; and processing the lower film using the photoresist pattern, wherein the crosslinking molecule includes a perfluoro alkyl moiety, the perfluoro alkyl moiety including a carbon-fluorine bond that dissociates in response to the exposing of the partial region of the photoresist material layer.

Method of manufacturing semiconductor device

A robot includes: an arm; a hand including a first finger and a second finger, wherein the first finger includes a first sensor and the second finger includes a second sensor; and a processor configured to: based on sensing an object through the first sensor while the robot is moving to grip the object, activate the second sensor, receive, from the first sensor and the second sensor, distance information including a plurality of pairs of distance values, wherein each respective pair of distance values of the plurality of pairs of distance values includes a first distance between the first sensor and the object and a second distance between the second sensor and the object, and each respective pair of distance values corresponds to a respective position of the hand relative to the object, and control the first finger and the second finger to grip the object based on the distance information.

Robot and control method therefor

An augmented reality device is provided. The augmented reality device includes a display, a camera, a sensor, and at least one processor, wherein the at least one processor is configured to detect a gaze direction of a user by using the sensor, capture a first image in the gaze direction of the user by using the camera, recognize a first object included in the captured first image, generate first object data including first content classification information to which the recognized first object belongs, acquire, based on the first object data, first priority data including a priority for the first content classification information, select, based on the acquired first priority data, a first object of interest among at least one object included in the first image acquired using the camera, and display a first augmented reality content including information on the selected first object of interest.

Electronic device for displaying AR object and method thereof

A display device includes a substrate; a thin-film transistor including an active area, a source electrode, and a drain electrode disposed on the substrate; a passivation layer disposed on the thin-film transistor; a light-emitting device disposed on the passivation layer and including a first electrode, a second electrode, and a structure disposed between the first electrode and the second electrode; a planarization layer disposed on the passivation layer to cover a side surface of the light-emitting device; a pixel electrode electrically connected to the drain electrode of the thin-film transistor through a first contact hole in the passivation layer and the planarization layer, and electrically connected to the first electrode through a second contact hole in the planarization layer; and a common electrode electrically connected to the second electrode through a third contact hole formed in the planarization layer.

Light-emitting device and display device using the same

Embodiments of the disclosure relate to a display device and a data driving circuit. Specifically, there may be provided a display device comprising a display panel where a plurality of gate lines, a plurality of data lines, and a plurality of subpixels are disposed, a gate driving circuit configured to supply scan signals to the plurality of gate lines, a data driving circuit configured to convert digital image data into an analog data voltage and supply the analog data voltage to the plurality of data lines, a timing controller configured to control the gate driving circuit and the data driving circuit, a first gamma circuit generating a first gamma voltage corresponding to a first pixel during a period corresponding to a first color selection signal, and a second gamma circuit generating a second gamma voltage corresponding to a second pixel during a period corresponding to a second color selection signal different from the first color selection signal.

Display device and data driving circuit

A method for processing a cardiovascular image for detection of cardiovascular lesions is provided, which is performed by one or more processors of a computing device. The method includes receiving a cardiovascular image, acquiring a first image mask corresponding to at least a part of blood vessels included in the cardiovascular image, acquiring a centerline image mask corresponding to centerlines of at least the part of blood vessels included in the cardiovascular image, extracting a first image patch from the cardiovascular image, extracting a second image patch from the centerline image mask, generating a refined third image patch by performing, based on the first image patch and the second image patch, a local refinement, and generating, based on the refined third image patch and the first image mask, a refined second image mask.

Method and system for processing cardiovascular image for detection of cardiovascular legions

A touch display device can include a plurality of touch electrodes disposed on or in a display panel; and a touch driving circuit configured to drive the plurality of touch electrodes by outputting a touch driving signal having a first level period and a second level period. Also, the touch driving circuit includes a current regulator configured to receive an input current from at least one of the plurality of touch electrodes during at least a partial period of the first level period and at least a partial period of the second level period of the touch driving signal, and scale down the input current to a first current and output the first current; and a converting integrator configured to output a sensing voltage based on the first current or a second current adjusted from the first current.

Converting integrator, touch driving circuit, and touch display device

Disclosed are resist compositions and semiconductor device fabrication methods wing the same. The resist composition comprises a hypervalent iodine compound of Chemical Formula 1 below. Wherein Rto Rare as defined herein.

Resist compositions and semiconductor fabrication methods using the same

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Seoul, South Korea

Hyunwoo Kim