Abstract: Provided is a display device comprising a substrate, a first data line and a second data line disposed on the substrate and extended in a first direction, an anode electrode disposed on the first data line and the second data line, a pixel-defining film disposed over the anode electrode and defining an emission area, an organic light-emitting layer disposed on the anode electrode, and a cathode electrode disposed on the organic light-emitting layer, wherein each of the first data line and the second data line has a curved shape when viewed from a top where the first anode electrode and the second anode electrode overlap the anode electrode.

Abstract: A blender includes a container body in which food is accommodated, a main body to support the container body, and an air guide provided in the main body to guide discharging of air flowing through a motor assembly to below the main body.

Abstract: The present disclosure relates to an automatic metal sorting system using laser induced breakdown spectroscopy. The system may include: a conveyer configured to move waste metals at a constant speed; a shape measurer configured to measure a position and a shape of at least one waste metal on the conveyer; a laser induced breakdown spectroscopic device configured to determine the kind of the waste metal by emitting a laser to the waste metal and receiving and analyzing a plasma spectrum signal generated by the emitted laser; and a discharger configured to separate and discharge the waste metal in accordance with the determined kind of the waste metal.

Abstract: A display device includes a light emitting element including a pixel electrode, a light emitting layer, and a common electrode. A capping layer is disposed on the common electrode. An auxiliary layer is disposed on the capping layer. A thin film encapsulation layer includes a first encapsulation layer, a second encapsulation layer, and a third encapsulation layer. The first encapsulation layer includes a first inorganic insulating layer including silicon nitride; a second inorganic insulating layer including silicon oxide; and a third inorganic insulating layer including silicon oxynitride. The auxiliary layer has a thickness of 200 ? to 1400 ?, the first inorganic insulating layer has a thickness of 400 ? to 3500 ?, the second inorganic insulating layer has a thickness of 200 ? to 2400 ?, and the third inorganic insulating layer has a thickness of 4000 ? or more.

Abstract: The present invention relates to a fusion protein comprising a SARS-CoV-2-derived receptor-binding domain and a nucleocapsid protein, and the use thereof. The fusion protein comprising a coronavirus-derived receptor-binding domain and a nucleocapsid protein is highly applicable to a multivalent vaccine composition having greatly improved in-vivo half-life and remarkably superior efficacy compared to an immunogenic composition comprising only a receptor-binding domain. In particular, the fusion protein can greatly improve the titer of the coronavirus-specific antibody formation and T-cell immune response, and is thus useful for the prevention and treatment of coronaviruses comprising SARS-CoV-2.

Abstract: A light device including a substrate, and first and second light emitters spaced apart from each other, and a power source to control the first light emitter and the second light emitter, in which the first and second light emitters include a light emitting region, a wavelength conversion layer disposed on the light emitting region, and a lateral reflection layer covering a region of a side of the light emitting region and the wavelength conversion layer, the first light emitter and the second light emitter are configured to output the same or different magnitudes of power by receiving the same or different magnitudes of current, the first and second light emitters are respectively configured to emit first light and second light, the first light emitter is electrically connected to the second light emitter through a common electrode.

Abstract: A two-way speaker includes: a frame having a space for accommodating parts; a yoke partitioning the space of the frame vertically and having a lower surface and a side wall; a first speaker unit disposed below the yoke and having a magnet, a top plate, a voice coil, and a diaphragm; a protector disposed below the first speaker unit and protecting the diaphragm; a second speaker unit disposed above the yoke and having a magnetic circuit and a flexible-printed coil membrane (F-PCM) diaphragm having a coil pattern formed on a polymer film; and a sound emission yoke attached to an upper surface of the second speaker unit.

Abstract: A method of rendering object-based audio and an electronic device performing the method are disclosed. The method includes identifying metadata of object-based audio, identifying an audio source distance between the object-based audio and a listener using the metadata, determining a minimum distance of the object-based audio to apply attenuation according to the audio source distance, based on a reference distance of the object-based audio in the metadata, and rendering the object-based audio using the audio source distance and the minimum distance.

Abstract: A method of rendering object-based audio and an electronic device for performing the method are disclosed. The method includes identifying metadata of the object-based audio, determining whether the metadata includes a parameter set for an atmospheric absorption effect for each distance, and rendering the object-based audio, using a distance between the object-based audio and a listener obtained using the metadata and the atmospheric absorption effect according to an effect of a medium attenuation based on the parameter, when the metadata includes the parameter.

Abstract: A method of rendering object audio and electronic device for performing the method are provided. The method includes identifying object audio and metadata including a reference distance of the object audio and an audio source distance between the object audio and a listener, identifying a maximum distance of the object audio determined based on the reference distance, when the audio source distance is less than or equal to the maximum distance, determining a gain of the object audio based on the audio source distance and the reference distance, and rendering the object audio according to the gain of the object audio.

Abstract: Provided are a method of training a neural network model, a method of recognizing an acoustic event and an acoustic direction, and an electronic device for performing the methods. A method of training a neural network model according to an example embodiment includes generating a heatmap indicating an acoustic event and an acoustic direction in which the acoustic event occurs by using training data, outputting a result of recognizing the acoustic event and the acoustic direction by inputting a feature extracted using the training data into a neural network model for recognizing the acoustic event and the acoustic direction of the training data, and training the neural network model by using the result and the heatmap.

Abstract: Provided are a method of recognizing sound, a method of training a sound recognition model, and an electronic device performing the same methods. A method of training a sound recognition model according to an example embodiment may include converting training data labeled with a sound class into a feature vector, storing the feature vector in a feature queue, transferring the feature vector stored in the feature queue to a block queue according to an operation of a feature vector transfer timer, inputting the feature vector of the block queue into a sound recognition model trained to predict the sound class and storing an output result in a result queue, transferring the feature vector stored in the feature queue corresponding to timing at which the result is output to the block queue by the feature vector transfer timer when the result is output.

Abstract: Disclosed are methods of training a deep learning model and predicting a class and an electronic device for performing the methods. A method of training a deep learning model may include identifying training data labeled for each class, determining whether to augment the training data based on overall recognition performance indicating prediction accuracy of the deep learning model calculated in a previous epoch, augmenting the training data based on class-specific recognition performance indicating class-specific prediction accuracy of the deep learning model calculated in the previous epoch, predicting a class by inputting the training data or the training data that is augmented to the deep learning model according to a determination of whether to augment the training data, and training the deep learning model based on a labeled class and the predicted class.

Abstract: Disclosed is an apparatus and method for augmenting training data using a notch filter. The method may include obtaining original data, and obtaining training data having a modified frequency component from the original data by filtering the original data using a filter configured to remove a component of a predetermined frequency band.

Abstract: Disclosed are methods of training an acoustic scene classification model and classifying an acoustic scene and an electronic device for performing the methods. The training method of an acoustic scene classification model includes inputting training data labeled as an acoustic scene to the acoustic scene classification model that is repeatedly trained by using the training data and outputting a first result predicting the acoustic scene, updating the weight of the auxiliary model configured to induce training of the acoustic scene classification model, based on a weight of the acoustic scene classification model and a weight of an auxiliary model in a previous epoch, inputting the training data to the auxiliary model and outputting a second result, calculating a cost function, based on the first result, the second result, and labeling of acoustic data, and updating the weight of the acoustic scene classification model, based on the cost function.

Abstract: Disclosed is a method and apparatus for label encoding in a multi-sound event interval. The method includes identifying an event interval in which a plurality of sound events occurs in a sound signal, separating a sound source into sound event signals corresponding to each sound event by performing sound source separation on the event interval, determining energy information for each of the sound event signals, and performing label encoding based on the energy information.

Abstract: Disclosed are a training method for a learning model for recognizing an acoustic signal, a method of recognizing an acoustic signal using the learning model, and devices for performing the methods. The method of recognizing an acoustic signal using a learning model includes identifying an acoustic signal including an acoustic event or acoustic scene, determining an acoustic feature of the acoustic signal, dividing the determined acoustic feature for each of a plurality of frequency band intervals, and determining the acoustic event or acoustic scene included in the acoustic signal by inputting the divided acoustic features to a trained learning model.

Abstract: Provided is a sound event recognition method that may improve a sound event recognition performance using a correlation between difference sound signal feature parameters based on a neural network, in detail, that may extract a sound signal feature parameter from a sound signal including a sound event, and recognize the sound event included in the sound signal by applying a convolutional neural network (CNN) trained using the sound signal feature parameter.

Abstract: A substrate polishing system includes: a polishing machine and a substrate transporter. The polishing machine includes: a lower surface plate to which a substrate is mounted, and an upper surface plate which faces the lower surface plate and polishes the substrate in cooperation with the lower surface plate, the upper surface plate having a larger area than the substrate mounted on the lower surface plate. The substrate transporter is adjacent to the polishing machine and commonly transports the substrate to and from the polishing machine in a first direction, attaches the substrate to the lower surface plate before polishing thereof, and separates from the lower surface plate the substrate after polishing thereof.

Abstract: Disclosed is an apparatus and method for augmenting training data using a notch filter. The method may include obtaining original data, and obtaining training data having a modified frequency component from the original data by filtering the original data using a filter configured to remove a component of a predetermined frequency band.