Samsung Electronics Co., Ltd.

Lg Electronics Inc.

Korea Advanced Institute of Science and Technology

Seoul National University

Hyunseung Lee

Donghyun Kim

Youngsu Moon

Sanghee Yoo

Cheon An Lee

Taegyoung Ahn

Tammy Lee

Youngho Jung

Iljun Ahn

Jaeyeon Park

Younghoon Jeong

Ji Young Kim

Sangho Park

Hyunseok Kim

Seungho Park

Mun Churl Kim

Joongil Shin

Yongsup Park

Cheolmin Jang

Jaewoo Park

Wooyoung Choi

Jae Seok Choi

Yong-Jun Park

Yongwoo Kim

Nam Ik Cho

Ho-Dong Jwa

Hakjoo Kim

Gwiho Lee

Yoonsik Kim

MunChurl Kim

Cheon Lee

Byeongyong Ahn

Kyuchul Lee

Yulgi Jin

Jae Woong Soh

The present application relates to a clothing treatment device, comprising: a cabinet having a mounting panel in which a panel inlet and a button mounting part are formed; a drum provided inside the cabinet to be rotatable and to accommodate clothes, the drum having a drum inlet communicating with the panel inlet; a button body located in the button mounting part, exposed to the outside of the cabinet and provided so that a user's body can make contact therewith; and a button extending from an edge of the button body and including a button extension body located inside the cabinet.

Clothing treatment device

A display device for performing image processing by using a neural network including a plurality of layers, may obtain a plurality of pieces of model information respectively corresponding to pixels included in a first image based on object features respectively corresponding to the pixels; identify the plurality of pieces of model information respectively corresponding to the plurality of layers and the pixels input to the neural network based on information about a time point at which each of the pixels is processed in the neural network; update parameters of the plurality of layers, based on the plurality of pieces of model information; and obtain a second image by processing the first image via the plurality of layers to which the updated parameters are applied; and display the second image.

Display device and operating method of the same

An electronic apparatus is disclosed. The electronic apparatus includes a memory configured to store a plurality of neural network models, and a processor connected to the memory and control the electronic apparatus in which the processor is configured to obtain a weight map based on an object area included in an input image, and obtain a plurality of images by inputting the input image to each of the plurality of neural network models, and obtain an output image by weighting the plurality of images based on the weight map, and each of the plurality of neural network models is a model trained to upscale an image.

Electronic apparatus and controlling method thereof

An image processing apparatus applies an image to a first learning network model to optimize the edges of the image, applies the image to a second learning network model to optimize the texture of the image, and applies a first weight to the first image and a second weight to the second image based on information on the edge areas and the texture areas of the image to acquire an output image.

Image processing apparatus and image processing method thereof

A tub of a washing machine includes: a first case and a second case welded to each other; a first coupling surface formed along a circumference of the first case facing the second case; a second coupling surface formed along a circumference of the second case facing the first case and bonded to the first coupling surface; and a coupling protrusion that protrudes along the first coupling surface and includes a protruding end portion welded to the second coupling surface. The coupling protrusion includes: a main coupling protrusion protruding along the first coupling surface; and an auxiliary coupling protrusion protruding along the first coupling surface and outwardly spaced apart from the main coupling protrusion. Further, an opening for communicating a space between the auxiliary coupling protrusion and the main coupling protrusion to an outside of the tub is defined in a bottom of the tub.

Tub for washing machine and washing machine having the same

An image processing apparatus obtains a first output image by applying an image to a first training network model, obtains a second output image by applying the image to a second training network model, and obtains a reconstructed image based on the first output image and the second output image. The first training network model is a model that uses a fixed parameter obtained through training of a plurality of sample images, the second training network model is trained to minimize a difference between a target image corresponding to the image and the reconstructed image.

A washing machine includes a tub and a drum. The tub includes a first case and a second case welded to each other; a first coupling surface extending along a circumference of the first case and facing the second case; a second coupling surface extending along a circumference of the second case and coupled to the first coupling surface; and a coupling protrusion that protrudes from the first coupling surface toward the second coupling surface and that includes a protruding end portion welded to the second coupling surface. The coupling protrusion includes: a main coupling protrusion that extends along the first coupling surface; and an auxiliary coupling protrusion that is disposed radially outward of the main coupling protrusion and spaced apart from the main coupling protrusion and that defines a discharge opening configured to discharge washing water entered between the main coupling protrusion and the auxiliary coupling protrusion.

A balance weight mounting structure of a washing machine and a balance weight mounting device are disclosed. The balance weight mounting structure of a washing machine comprises a cabinet; a tub movably supported with respect to the cabinet; a drum rotatably supported in the tub; and a balance weight provided in the tub, increasing a weight of the tub, wherein the tub and the balance weight are welded by a welding device and fixedly fastened to each other.

Balance weight mounting structure for washing machine and balance weight mounting device

A washing machine includes a cabinet, a tub disposed inside the cabinet to form a washing space in which washing water is filled, and a drum rotatably supported in the washing space for receiving laundry. The tub includes a first case coupled to a second case to form the washing space. A first coupling surface is formed along a periphery of an opened end portion of the first case and a second coupling surface is formed along a periphery of an opened end portion of the second case facing the first case. The second coupling surface is welded to the first coupling surface. A coupling protrusion protrudes along the first coupling surface and includes a protruding end portion welded to the second coupling surface. The coupling protrusion includes a main-coupling protrusion protruding along the first coupling surface and a sub-coupling protrusion parallel to and spaced apart from the main-coupling protrusion.

Washing machine and tub for washing machine

An electronic apparatus is provided. The electronic apparatus includes a storage configured to store a compression rate network model configured to determine a compression rate applied to an image block from among a plurality of compression rates, and a plurality of compression noise removing network models configured to remove compression noise for each of the plurality of compression rates, and a processor configured to: obtain a compression rate of each of a plurality of image blocks included in a frame of a decoded moving picture based on the compression rate network model, obtain the compression rate of the frame based on the plurality of obtained compression rates, and remove compression noise of the frame based on a compression noise removing network model corresponding to the compression rate of the frame from among the plurality of compression noise removing network models. The compression rate network model can be obtained by learning image characteristics of a plurality of restored image blocks corresponding to each of the plurality of compression rates through a first artificial intelligence algorithm, and the plurality of restored image blocks can be generated by encoding a plurality of original image blocks, and decoding the encoded plurality of original image blocks, and the plurality of compression noise removing network models can be obtained by learning a relation between the plurality of original image blocks and the plurality of restored image blocks through a second artificial intelligence algorithm.

Electronic apparatus and control method thereof

A detergent supply device of a washing machine is disclosed, which comprises a dispenser provided on a water supply path of the washing machine and connected with a plurality of hoses; and a detergent box arranged to be drawn out inside the dispenser and provided with a plurality of detergent accommodating portions partitioned to be more than the plurality of hoses, wherein the dispenser supplies at least one path through which washing water supplied from one of the plurality of hoses moves by diverging the washing water to at least two of the plurality of detergent accommodating portions.

Detergent supply device for washing machine

Disclosed are a method and an apparatus for connecting electronic devices based on biometric information without a certification server. An electronic device includes a wireless communication unit configured to perform wireless communication with an external device; a biometric recognition module; a memory; and a processor connected to the wireless communication unit, the biometric recognition module, and the memory. The processor is configured to register, in the external device, authentication information for authenticating the external device through the electronic device, establish a communication connection with the external device through the wireless communication unit, receive a request for authenticating the electronic device from the external device in response to the communication connection, acquire biometric information corresponding to a user of the electronic device using the biometric recognition module in response to the authentication request, perform device authentication for the user based on at least the biometric information, encrypt authentication information when the authentication is successfully performed, and transmit the encrypted authentication information to the external device.

Method and apparatus for connection between electronic devices

A laundry treatment apparatus including a cabinet defining an external appearance, a drum rotatably provided inside the cabinet to accommodate laundry, and a door assembly pivotably provided at the cabinet to open or close an opening in the drum. The door assembly includes a door body configured to open or close the cabinet, a control panel provided on an inner surface of the door body to receive an input related to operation from a user and to display operation of the laundry treatment apparatus, and a control panel cover separably provided on a rear surface of the control panel to define a rear surface of the door assembly. The control panel includes an input unit configured to receive the input related to operation from the user, a display unit configured to display the input received from the input unit, and a PCB configured to control the control panel.

Growing community of inventors

Seoul, South Korea

Hyunseung Lee