Samsung Electronics Co., Ltd.

Heuron Co., Ltd.

Dohyun Kim

Soohwa Song

Jongcheun Seo

Sunghea Cho

Jin Soo Lee

Junghoon Park

Namkyu Cho

Sumin Jung

Junguk Jun

Seong Joon Lee

Kisup Lee

Youngchul Ko

Soo Hwa Song

Donghyo Kim

Gyu Ha Park

Ji Woo Song

Hongkwan Cho

Jaewan Hong

Igor Nazarov

Seung Yon Koh

A food waste disposer including a housing; a grinding device inside the housing to grind food waste; an exhaust fan inside the housing to form an air flow; an exhaust pipe connected to the exhaust fan to form an exhaust flow path along which air from the grinding device flows via the air flow formed by the exhaust fan; a filter assembly to adsorb contaminants from the air flowing along the exhaust flow path; a branch pipe branching from the exhaust pipe between the grinding device and the exhaust fan to form a connection flow path communicating with the exhaust flow path; and a sterilization device connected to the branch pipe to selectively open and close the connection flow path, and, with the connection flow path being open, generate and supply plasma to the exhaust pipe through the connection flow path via an intake airflow formed by the exhaust fan.

Food waste disposer

A large vessel occlusion (LVO) test device using eyeball deviation includes an image input unit configured to input non-contrast computed tomography (CT); a pre-processing unit; an image processing unit; and a determination unit. The objects include both eyes and the upper part of the brain corresponding to the entire cerebral cortex from the midbrain. The image processing unit configured to non-rigid register at least one atlas for the non-cis contrast CT images pre-processed from the pre-processing unit, normalize each cell of the non-contrast CT image to which the atlas is registered to have a value of 0 or 1, and extract a region of interest in a restored non-contrast CT image by combining each cell of the non-contrast CT image to which the atlas is registered through inverse transformation.

Large vessel occlusion test device and method using eyeball deviation

A scroll compressor including a fixed scroll including a wrap accommodation portion having an inner space extending inside the wrap accommodation portion, a thrust surface around the inner space, a fixed wrap in the inner space, and an oil groove on the thrust surface; an orbiting scroll to rotate with respect to the fixed scroll, and including a mirror plate, an orbiting wrap extending from the mirror plate to engage with the fixed wrap, and at least one oil supply groove on the mirror plate facing the thrust surface of the fixed scroll; and a driving motor to rotate the orbiting scroll. When the orbiting scroll rotates, the at least one oil supply groove of the orbiting scroll moves from a first position to receive oil from the oil groove, to a second position to supply the oil to the inner space of the wrap accommodation portion.

Scroll compressor with oil supply groove

An aspect of the present disclosure provides an apparatus for extracting a vascular function including an information reception unit configured to extract an original CT image from brain-related information received from the outside; an NIFTI image transformation unit configured to transform the original CT image into an NIFTI file format image to acquire time sequence data; a time interpolation unit configured to apply time interpolation to the original CT image through the time sequence data to transform the original CT image into each time-specific 3D CT image; a vessel segmentation unit configured to predict a vessel segmentation mask by passing the each time-specific 3D CT image through a deep learning-based vessel segmentation deep-learning modeland generate a 4D vessel mask image by stacking the 3D CT images based on a time axis; and a vascular function extraction unit configured to extract a vascular function from a vessel region of the 4D vessel mask image and calculate a blood flow parameter using an artery function which is one of the vascular functions.

Apparatus and method for extracting vascular function from brain-related information

A scroll compressor including a fixed scroll including a fixed wrap, an orbiting scroll including an orbiting wrap facing the fixed scroll to form a compression chamber together with the fixed wrap, and a first receiving groove formed on a second surface, opposite to the orbiting wrap, a frame including a second receiving groove formed on a surface facing the second surface of the orbiting scroll and forming a ring-shaped chamber disposed inside the frame and between the second surface and the surface of the frame, a guide ring disposed in the ring-shaped chamber, and a plurality of roller bearings each including an inner ring fixed to the guide ring, wherein some of the roller bearings are disposed in the first receiving groove and others are disposed in the second receiving groove, and the guide ring and the plurality of roller bearings prevent the orbiting scroll from rotating.

Scroll compressor and home appliance including the same

The present disclosure relates to artificial intelligence-based devices and methods for geometric alignment and preprocessing of raw CT images. According to the present disclosure, when sensitive to a local error according to each characteristic, only linear transformation is applied to use the centrally aligned rigid registration result, and when the region of interest between patients is spatially matched or monitoring is required, a non-rigid registration result may be used.

Artificial intelligence-based devices and methods for geometric alignment and preprocessing of raw CT images

An electronic device is provided. The electronic devices includes a display, a memory, and a processor configured to be operatively connected to the display and the memory. The processor is configured to generate a main thread related to a user input and data processing on an application in response to execution of the application and a render thread related to rendering image data in units of frames based on data processed in the main thread, configure a target frame rate for displaying an execution screen of the application on the display, calculate an expected processing time of a current frame based on a processing time of at least one previous frame output through the display, determine a time margin based on the target frame rate and the calculated expected processing time, and perform the user input and data processing after the main thread waits in a sleep state for the time margin.

Electronic device and image rendering method thereof for adjusting frame rate

Provided is a scroll compressor with enhanced sealing structure of a back pressure chamber. The scroll compressor includes a housing, a fixed scroll fixed to inside of the housing and including a fixed wrap, an orbit scroll including an orbit wrap which forms a compression chamber together with the fixed wrap, a back pressure chamber formed at a frame supporting the orbit scroll, and accommodating refrigerant for pressurizing the orbit scroll to a direction of the fixed scroll, and a sealing ring arranged between the fixed scroll and the orbit scroll to prevent the refrigerant in the back pressure chamber from flowing in or out through a gap between the fixed scroll and the orbit scroll, wherein the sealing ring includes a cut portion cut for the sealing ring to be deformable in a circumferential direction.

Scroll compressor

An object detection device includes a first sensor, a second sensor, a calculation range selector and an estimator. The first sensor outputs a radio frequency (RF) signal, receives a reflected RF signal reflected from an object, and obtains a first measurement value for the object based on a received reflected RF signal. The second sensor obtains a second measurement value for the object by sensing a physical characteristic from the object. The physical characteristic sensed by the second sensor is different from a characteristic of the object measured as the first measurement value obtained by the first sensor. The calculation range selector sets a first reference range based on the second measurement value. The first reference range represents a range of execution of a first calculation for detecting a position of the object using a first algorithm. The estimator performs the first calculation only on the first reference range using the first measurement value, and generates a first result value as a result of performing the first calculation. The first result value represents the position of the object.

Object detection device and vehicle control system including the same

The present disclosure relates to a method, an apparatus, and a system for detecting and classifying an ischemic stroke based on a medical image. A medical image based ischemic stroke detecting and type classifying apparatus according to an aspect of the present disclosure includes an acquiring unit which collects images related to a brain of at least one patient; a detecting unit which determines whether the at least one patient is a large vessel occlusion patient, based on the collected image; a determining unit which determines whether a type of the large vessel occlusion is embolism or intracranial atherosclerosis (ICAS), when the at least one patient is a large vessel occlusion patient; and a diagnosing unit which provides treatment direction information which is applied differently according to the determined type of the large vessel occlusion.

Ischemic stroke detection and classification method based on medical image, apparatus and system

A scroll compressor includes a main body, a cover to divide the main body into a low pressure section and a high pressure section, a fixed scroll including a first discharge port, an orbiting scroll to rotate with respect to the fixed scroll and to form a compression chamber together with the fixed scroll, a discharge guide disposed between the fixed scroll and the cover and including a second discharge port connected to the first discharge port, and a back pressure actuator configured to form a back pressure chamber together with the discharge guide and to move in a direction toward the cover with respect to the discharge guide to selectively connect the second discharge port with the high pressure section. The fixed scroll includes a bypass flow path connecting the compression chamber and the second discharge port and a bypass valve to open or close the bypass flow path.

Provided is a stroke diagnosis apparatus based on AI that includes: an image obtainer obtaining a non-contrast CT image related to the brain of at least one patient; a preprocessor pre-processing the non-contrast CT image and determining whether the at least one patient is in a non-hemorrhage state or a hemorrhage state on the basis of the pre-processed image; an image processor normalizing the pre-processed image and dividing and extracting an ROI (Region of Interest) using a preset standard mask template; and a determiner determining whether there is a problem with a cerebral large vessel of the at least one patient using the divided and extracted ROI.

Growing community of inventors

Suwon-si, South Korea

Dohyun Kim