Lg Innotek Co., Ltd.

Samsung Display Co., Ltd.

Samsung Electronics Co., Ltd.

Hyundai Mobis Co., Ltd.

Hyundai Motor Company

Electronics and Telecommunications Research Institute

Korea Advanced Institute of Science and Technology

Kia Motors Corporation

Kia Corporation

Seoul National University

Yonsei University

Korea University Research and Business Foundation

Hyundai Heavy Industries Co., Ltd.

Doosan Corporation

Hyosung Tns Inc.

Sang Hun Lee

Yong Bok Choi

Chang Hun Kwak

Seung Bum Lee

Sung Bae Cho

Chang Wook Kim

Dong Chan Park

Ju Young Song

Sun Woo Kim

Min Jung Kang

Jun Bo Yoon

Dae Youn Park

Hyun Ho Yang

Min Soo Kim

Jong Min Kim

Jong Seok Kim

Chang Hun Han

Jeong Ho Lee

Tae Kyung Kim

Gak Seok Lee

Sun Hwa Kim

Young Seop Moon

Eun Sung Seo

Hyung Ki Kim

Min Ju Kim

Ji Eun Jang

Dae Sik Jang

Chang Soon Jang

Seong Chan Jun

Ui Jun Kim

Chan Wook Baik

Han Young Kim

Hye Ran Mun

Nu Ree Um

Young Bong Cho

Jung In Jang

Kwang Il Kim

Za Il Lhee

Jin Ho Gwon

Chul Huh

Cheol Sig Pyo

Jong Won Lee

Keun Chan Oh

Sun Choi

Tae-Hyun Kim

Tae Gyun Kim

Chul Hong Kim

Yoon Sung Lee

Seung Ryong Park

Eung Hwan Kim

Seung Min Oh

Chul Ju Lee

Sun-Young Chang

Ju Hee Kim

In Ok Kim

Seul Ki Jeon

Yui-Ku Lee

Hyeong Seok Jang

Sang Mok Park

Ji Young Jung

Ji Eun Lee

Young Woon Kim

Jae Wook Kwon

Jun Ki Rhee

Tae Min Ha

Nam Woong Hur

Ko Eun Kim

Yun Ho Lee

Hee Ra Kim

Jung Hyun Ahn

Chul Young Kim

Jong Arm Jun

Sang Woo Park

Sung Hyun Jung

Jun Woo Park

Ju Bong Park

Dong Hun Choi

Se Ah Kwon

Jae Hoon Yoon

Ho-Yong Shin

Yu Kyeong Jeong

Lynn Choi

Jin A Seo

Chan Hee Chon

Jong Won Yu

Tai Hyun Park

Woo Young Jin

In Jung Kim

Kwang Bin Lee

Jae Geol Cho

Joon Young Cho

Hyo Suk Park

Seung-Hun Hong

Tae Yeong Kwak

Han Sub Hwang

Seung Ki Hong

YoungJae Maeng

Chang Hoon Han

Dong Hoon Choi

Yoon Kill Baek

A display device includes display area; a non-display area; a display substrate; and a color conversion substrate disposed on the display substrate, the display substrate includes a first base portion, and a light emitting element disposed in the display area on the first base portion, the color conversion substrate includes a second base portion facing the first base portion, and a color filter layer disposed between the second base portion and the light emitting element, the display area includes a first light emitting area emitting first light, the color filter layer includes a first color filter disposed in the first light emitting area, and the first color filter includes at least two layers.

Display device with improved color filter

Lipid nanoparticle preparation device

The present invention relates to an imaging lens and the present invention comprises: a first lens having a positive (+) refractive power; a second lens having a negative (−) refractive power; an iris (aperture); a third lens having a negative (−) refractive power; a fourth lens having a negative (−) refractive power; and a fifth lens having a positive (+) refractive power, wherein the first lens, the second lens, the third lens, the fourth lens and the fifth lens can be sequentially arranged along an optical axis from a subject side. Since the length of an optical system is shorter than a focal distance, the present invention can be effectively used for an imaging lens of an optical system requiring a low telephoto ratio.

Imaging lens

A disease diagnosis system uses a slide of a biological image and the neural network, the disease diagnosis system including a patch-level segmentation neural network that receives, for each predetermined patch in which the slide is divided into a predetermined size, the patch as an input layer so as to specify the area in which the disease in the patch exists, wherein the patch-level segmentation neural network comprises: a patch-level classification neural network, which receives the patch as an input layer so as to output a patch-level classification result about whether the disease exists in the patch; and a patch-level segmentation architecture, which receives a feature map generated in each of two or more feature map extraction layers from among hidden layers included in the patch-level classification neural network, so as to specify the area in which the disease in the patch exists.

Disease diagnosis system and method for performing segmentation by using neural network and unlocalized block

A display device includes: a base substrate including an active area, and a non-active area including a crack dam arrangement area; a plurality of inorganic layers on the base substrate; and an encapsulation layer on the plurality of inorganic layers, and including an encapsulation inorganic layer, and an encapsulation organic layer on the encapsulation inorganic layer. The base substrate includes first substrate portions having a first thickness at the crack dam arrangement area, and a second substrate portion between adjacent ones of the first substrate portions and connected to the first substrate portions, the second substrate portion having a second thickness smaller than the first thickness. The plurality of inorganic layers are laminated to form an inorganic laminated film at the crack dam arrangement area; and the encapsulation inorganic layer is located over the first substrate portions and the second substrate portion, and includes at least one short circuit portion.

Display device including encapsulation organic layer on base substrate having different thicknesses at non-active area

A disease diagnosis system implemented in a system including a processor and which uses the neural network and a slide on which biological tissue is provided and from which a biological image is obtained, the system including: a pre-processing module for generating first to Kth image information corresponding to each of a plurality of patches obtained by dividing the slide into a predetermined size, wherein ith image information, 1<=i<=K, includes at least one channel value corresponding to an ith color model, and a first color model to a Kth color model are different from each other; and a patch neural network which receives the first image information to the Kth image information corresponding to each of the plurality of patches, so as to output a patch-level diagnosis result indicating whether a disease exists in each patch.

Disease diagnosis system and method using multiple color models and neural network

An automotive sensor integration module including a plurality of sensors which differ in at least one of a sensing period or an output data format, an interface unit configured to receive pieces of detection data outputted from the plurality of sensors and convert the received detection data into a predetermined data format, and a signal processing unit configured to simultaneously output pieces of converted detection data from the interface unit on the basis of the sensing period of one among the plurality of sensors.

Automotive sensor integration module

A system and a method that output in both a machine-readable and a human-readable format, a result obtained by performing a diagnosis of a disease through an image of living tissue. A diagnosis result generation system includes a marking information generation module for generating marking information indicating a result obtained by diagnosing whether a disease is present in biological tissue provided on a slide of which a biological image is obtained therefrom, wherein the marking information includes disease state information for each pixel of the biometric image obtained from the slide; a contour extraction module for extracting at least one contour from the marking information; and a machine-readable/human-readable generation module for generating a machine-readable/human-readable document including outline information of each of the at least one extracted contour.

Diagnosis result generation system and method

Provided is a display device. The display device includes a first base portion, a second base portion facing the first base portion, a light emitting layer disposed on one surface of the first base portion and emitting first light, a first wavelength conversion pattern disposed on the light emitting layer and converting the first light into second light having a different wavelength from the first light, a first color filter overlapping the first wavelength conversion pattern on one surface of the second base portion and spaced apart from the first wavelength conversion pattern, and an air layer interposed between the first wavelength conversion pattern and the first color filter.

Display device

A camera module according to an embodiment of the present invention comprises: a substrate; a light source disposed on the substrate to output light; a first optical member for, when the light is input, diffusing and outputting the light; and a second optical member including a first liquid and a second liquid having a different refractive index from the first liquid, and when the diffused light is input, refracting and outputting the diffused light according to an interface which is formed between the first liquid and the second liquid and is changed according to applied voltage.

Camera module

An automotive sensor integration module including a plurality of sensors configured to detect an object outside a vehicle, and a signal processing unit configured to output, as sensing data, a plurality of pieces of detection data output from the plurality of sensors according to any one among the plurality of pieces of detection data at a substantially same timing based on a priority signal, or output, as the sensing data, the plurality of pieces detection data according to an external pulse at a substantially same timing.

Automotive sensor integration module and system using the same

A system for searching for a pathological image includes: an autoencoder having an encoder for receiving an original pathological image and extracting a feature of the original pathological image, and a decoder for receiving the feature of the original pathological image extracted by the encoder and generating a reconstructed pathological image corresponding to the original pathological image; a diagnostic neural network for receiving the reconstructed pathological image generated by the autoencoder that has received the original pathological image, and outputting a diagnosis result of a predetermined disease; and a training module for training the autoencoder and the diagnostic neural network by inputting a plurality of training pathological images, each labeled with a diagnosis result, into the autoencoder. The autoencoder is trained by reflecting the diagnosis result of the reconstructed pathological image output from the diagnostic neural network.

System and method for searching for pathological image

An automotive sensor integration module including a plurality of sensors which differ in at least one of a sensing period or an output data format, and a signal processing unit configured to synchronize, when a malfunctioning sensor is detected from among the plurality of sensors, pieces of detection data output from remaining sensors other than the detected sensor to substantially simultaneously output the synchronized data as sensing data.

A method of mixing a cathode active material in a process of manufacturing a cathode of a lithium secondary battery is provided. The method includes a preparation step of preparing a lithium compound removal solution in which PAA (polyacrylic acid) is mixed with a solvent, a removal step of reacting the lithium compound removal solution with the cathode active material, on a surface of which a lithium compound is present, thus removing the lithium compound present on the surface of the cathode active material, and a mixing step of mixing the cathode active material, which is mixed with the lithium compound removal solution, with a conductive material and a binder.

Method of mixing cathode active material

Display device including crack dam arrangement area

Growing community of inventors

Seoul, South Korea

Sang Hun Lee