Abstract: A capacitor component includes a body having a stacked portion in which first internal electrodes and second internal electrodes are alternately stacked with each other and with dielectric layers therebetween in a first direction, and having first and second connection portions disposed on opposite surfaces of the stacked portion, respectively, in a second direction perpendicular to the first direction. First and second external electrodes are disposed on the first and second connection portions, respectively. The first and second connection portions each include a metal layer disposed on the stacked portion and a ceramic layer disposed on the metal layer. Corners of the body have a rounded shape in a cross-section of the body extending in the first and second directions.

Abstract: A display device includes a display panel; a supporter disposed on a surface of the display panel; and an adhesive layer disposed between the supporter and the display panel, wherein the supporter includes metal layers spaced apart from each other; and a cushion layer surrounding the metal layers, the adhesive layer includes a first area overlapping the metal layers in a vertical direction to the display panel; and a second area not overlapping the metal layers in the vertical direction to the display panel, and a modulus of the second area of the adhesive layer is larger than a modulus of the first area of the adhesive layer.

Abstract: The present disclosure relates to a method for providing content using communication with animals and the program and the system therefor, which can analyze information of a pet, such as the pet's action, noise, and surrounding environment, process the information into a message, provide a user with the message, search for content matching the message after analyzing the user's response message, and output and provide the contents for the pet.

Abstract: Disclosed is a blankmask for EUV includes a substrate, a reflection film that is stacked on the substrate; and an absorbing film that is stacked on the reflection film. The absorbing film is constituted by an uppermost layer and a plurality of layers under the uppermost layer. The uppermost layer contains Ta and O. The plurality of layers contain Ta and are configured so that a content of N increases upward. As a result, a CD deviation of a pattern of the absorbing film is minimized.

Abstract: The present technology relates to a battery cell jig including a spacer laminate, a battery cell volume measuring apparatus including the battery cell jig, and a battery cell volume measuring method performed by using the apparatus. It is possible to easily adjust a space between first and second plates where a battery cell has been interposed therebetween by including a spacer which can be assembled in the spacer laminate. Further, it is possible to preventing stagnation of water at a space between the battery cell jig and the spacer when measuring the volume change of the battery cell by including a slit unit opened along a longitudinal direction in the spacer.

Abstract: The present invention relates to a polyamide reverse osmosis membrane including a porous support; a polyamide layer which is formed on at least one surface of the porous support; a fouling resistant layer which is formed on the polyamide layer; and a protective coating layer which is formed on the fouling resistant layer and linked by cross-linking with the fouling resistant layer, and more specifically to a polyamide reverse osmosis membrane having excellent durability and antifouling properties in which antifouling properties are improved, but there is no decrease in flow rate and salt removal rate, and there is little decrease in physical properties due to fouling and little change over time due to a preservation solution, and chlorine durability is also excellent.

Abstract: An electronic device receives a set of 2D images comprising at least first 2D image of an object of interest and detects a plurality of 2D landmarks on the first 2D image. The detected plurality of 2D landmarks corresponds to shape-features of the object of interest. The electronic device aligns a first three-dimensional (3D) shape model of a reference object by fitting 2D landmarks of the first 3D shape model to the detected plurality of 2D landmarks. The electronic device estimates texture mapping information between the object of interest and the aligned first 3D shape model and generates a dataset by including the first 2D image, the aligned first 3D shape model, and the estimated texture mapping information as a first sample of the dataset. Based on the generated dataset, the electronic device trains a neural network model on a task of 3D reconstruction from a single 2D image.

Abstract: An electronic device and method of dataset cleaning is provided. The electronic device receives a dataset comprising a plurality of samples, of which a first sample comprises a 2D image of an object of interest and a 3D shape model of the object of interest. The electronic device determines 2D landmarks from the 2D image and extracts 3D landmarks from the 3D shape model. The electronic device computes an error between the determined 2D landmarks and corresponding 2D locations of the extracted 3D landmarks on the 2D image, based on an error metric. Thereafter, the electronic device determines the computed error to be above a threshold. Based on the determination that the computed error is above the threshold, the electronic device updates the dataset by a removal of the first sample from the dataset and trains a neural network on a task of 3D reconstruction, based on the updated dataset.

Abstract: 3D motion sensor data from a sensor on an athletic implement such as a golf club is clipped around an impact event and the clip then reduced to its 2D components, which are combined into a single 2D image and provided to a machine learning algorithm to output an indication of a flaw in the motion (e.g., a flaw in a golf swing).

Abstract: A refrigerator includes: a door including a door body and a door panel coupled to the door body, and a buffer member disposed at a rear surface of the door panel and provided between the door body and the door panel. The door body defines a first part at a front surface, an adhesive portion is provided at the first part between the door body and the door panel to thereby couple a rear surface of the door panel to the front surface of the door body, and the buffer member contacts a first portion of the adhesive portion and the rear surface of the door panel contacts a second portion of the adhesive portion.

Abstract: Provided is a method for performing machine learning-based observation level measurement using a server system log and performing risk calculation using the same, including: a log preprocessing step; a log file linkage step of processing a log file to store the log file in a HDFS, and linking the processed log file to a big data storage; a feature value extraction step of requesting an inquiry of a raw log, and extracting a feature value for a normal behavior from the inquired raw log; a model training step of normalizing the extracted feature value to level a baseline value for the normal behavior, and training a machine learning model based on the leveled baseline value; and a risk calculation step of determining, when a log that violates the leveled baseline value is detected, that an abnormal behavior is detected so as to calculate a risk for the detected abnormal behavior.

Abstract: A vehicle audio video navigation (AVN) system may be provided that includes: a plurality of source providers which receives a sound source; a user operation unit which selects at least one of a plurality of the sound sources input from the plurality of the source providers and selects a focusing zone of the sound source; a processor which generates a sound source signal for focusing an output of the selected sound source on the focusing zone; and a multi-channel amplifier which outputs the sound source signal. As a result, the focusing zone of each sound output within a vehicle can be individually controlled. Particularly, the focusing zone of each sound can be easily selected and controlled without changing the location of the speaker within the vehicle. Also, the sound source and the focusing zone within the vehicle can be selected and controlled only by adding an external processor without replacing the AVN device provided in the vehicle.

Abstract: An electronic apparatus and method for visual speech recognition based on connectionist temporal classification (CTC) loss is disclosed. The electronic apparatus receives a video that includes human speakers and generates a prediction corresponding to lip movements of the human speakers. The prediction is generated based on application of a Deep Neural Network (DNN) on the video and the DNN is trained using a CTC loss function. The electronic apparatus detects, based on the prediction, word boundaries in a sequence of characters that correspond to the lip movements and divides the video into a sequence of video clips based on the detection. Each video clip corresponds to a word spoken by the human speakers. The electronic apparatus generates a sequence of word predictions by processing the sequence of video clips and generates a sentence, or a phrase based on the generated sequence of word predictions.

Abstract: A multilayer capacitor includes a body including a multilayer structure in which a plurality of dielectric layers are stacked and a plurality of internal electrodes stacked with the dielectric layer interposed therebetween and external electrodes disposed on an exterior of the body and connected to the internal electrodes. At least one of the plurality of dielectric layers includes a plurality of grains, and a ratio of grains having dislocations, among the plurality of grains, is 20% or greater.

Abstract: The present invention relates to a method for manufacturing a degenerate cell and a method for evaluating a degenerate cell including the same. The method for manufacturing a degenerate cell includes: preparing a battery cell which has a structure where an electrode assembly, which is generated by lamination of a negative electrode, a positive electrode, and a separator, is accommodated in a battery case, and an electrode lead is drawn out to an outside of the battery case; and precipitating lithium metal on a predetermined region between the negative electrode and the separator by performing charge and discharge under predetermined temperature, pressure and charge and discharge pattern conditions.

Abstract: Disclosed is a blankmask for EUV includes a substrate, a reflection film that is stacked on the substrate; and an absorbing film that is stacked on the reflection film. The reflection film has a structure in which a pair including a first layer made of Ru or a Ru compound in which one or more of Mo, Nb, and Zr are added to Ru, and a second layer made of Si is stacked plural times. Interdiffusion between the respective layers constituting the reflection film is suppressed.

Abstract: The present technology relates to a battery cell jig including film-type pressure sensors, and a method of measuring a swelling of a battery cell using the same. According to the present invention, by using film-type pressure sensors, the volume of the measuring apparatus can be reduced, and abnormal degeneration of the battery cell by the pressure difference for each location of the battery cell can be prevented.

Abstract: Implementations generally relate to correcting lip-reading predictions. In some implementations, a method includes receiving video input of a user, where the user is talking in the video input. The method further includes predicting one or more words from mouth movement of the user to provide one or more predicted words. The method further includes correcting one or more correction candidate words from the one or more predicted words. The method further includes predicting one or more sentences from the one or more predicted words.

Abstract: An electronic device and method for reverse image search is provided. The electronic device receives an image. The electronic device extracts, by a DNN model, a first set of image features associated with the image and generates a first feature vector based on the first set of image features. The electronic device extracts, by an image-feature detection model, a second set of image features associated with the image and generates a second feature vector based on the second set of image features. The electronic device generates a third feature vector based on combination of the first and second feature vectors. The electronic device determines a similarity metric between the third feature vector and a fourth feature vector of each of a set of pre-stored images and identifies a pre-stored image based on the similarity metric. The electronic device controls a display device to display information associated with the pre-stored image.