Abstract: An apparatus for estimating the three-dimensional human pose according an embodiment includes a two-dimensional pose estimator configured to generate two-dimensional pose information about joint positions of a human body from an input two-dimensional image, and a lifting network configured to convert the two-dimensional pose information into three-dimensional pose information. A method of estimating a three-dimensional human pose performed on a computing device includes generating two-dimensional pose information about joint positions of a human body from an input two-dimensional image, and converting the two-dimensional pose information into three-dimensional pose information using a lifting network.

Abstract: An apparatus for detecting deepfake videos includes a feature extractor configured to generate a global frequency feature and one or more part-based frequency features of an input video and a video determiner configured to determine whether the input video is a deepfake based on the global frequency feature and the one or more part-based frequency features.

Abstract: Provided is a system for authenticating a remote driver in real time using an image and artificial intelligence. The system for authenticating a remote driver in real time according to an embodiment of the present invention includes: a face detection unit mounted on construction equipment to detect a face of a driver on board; a remote control station configured to transmit facial data of the driver on board detected through the face detection unit to an authentication unit, receive a driver information search result and an authentication determination result from the authentication unit, and start the construction equipment; and the authentication unit configured to search for the facial data of the driver on board received from the remote control station from driver information data stored in a database and transmit the driver information search result and the authentication determination result to the remote control station.

Abstract: A process of forming an oxide layer, the oxide layer, a semiconductor device, and a method for manufacturing a semiconductor device. The process of forming the oxide layer including conducting atomic layer deposition at a temperature of less than about 400° C., wherein the atomic layer deposition includes: supplying a metal or semi-metal precursor and a first reaction catalyst to a substrate positioned in a chamber for atomic layer deposition to adsorb the metal or the semi-metal precursor on a surface of the substrate; and supplying a reactant and a second reaction catalyst to the substrate on which the metal or semi-metal precursor is adsorbed to form the oxide layer, wherein the first reaction catalyst and the second reaction catalyst comprise primary or secondary amine, respectively.

Abstract: A method for forming a thin film includes supplying a precursor including a metal or semi-metal element and a first halogen onto a substrate configured for a semiconductor device, supplying an inorganic additive including a second halogen different from the first halogen and excluding iodine and configured to spontaneously substitute the first halogen of the precursor at a predetermined temperature, and supplying a reactant configured to chemically bond to the metal or semi-metal element, forming the thin film.

Abstract: A method for generating deformed images includes receiving an original image including a non-defective object and augmenting the original image into a plurality of images, receiving the plurality of augmented original images and generating a deformed image from each of the augmented original images, receiving a name of an object included in the original image as text and generating an optimal prompt based on the name of the object, and determining whether to store the deformed image in a non-defective data pool based on the optimal prompt and the plurality of generated deformed images.

Abstract: A method for adaptively extrapolating an image extrapolates an image adaptively so that the image estimated by the extrapolation technique can express realistic content and maintain structural similarity with the given image. The method can ensure that the region between the extrapolated region and the original region maintains the same resolution, and it can ensure contextual consistency by preserving the features of the adjacent region and the distant region.

Abstract: A method for adaptively extrapolating an image extrapolates an image adaptively so that the image estimated by the extrapolation technique can express realistic content and maintain structural similarity with the given image. The method can ensure that the region between the extrapolated region and the original region maintains the same resolution, and it can ensure contextual consistency by preserving the features of the adjacent region and the distant region.

Abstract: Provided is a system for authenticating a remote driver in real time using an image and artificial intelligence. The system for authenticating a remote driver in real time according to an embodiment of the present invention includes: a face detection unit mounted on construction equipment to detect a face of a driver on board; a remote control station configured to transmit facial data of the driver on board detected through the face detection unit to an authentication unit, receive a driver information search result and an authentication determination result from the authentication unit, and start the construction equipment; and the authentication unit configured to search for the facial data of the driver on board received from the remote control station from driver information data stored in a database and transmit the driver information search result and the authentication determination result to the remote control station.

Abstract: A method for controlling a loss scale by class includes identifying class-wise losses of a neural network, analyzing a relative correlation by normalizing the identified class-wise losses, estimating class-wise loss scaling weights according to a result of the analyzing of the relative correlation, and calculating a weighted sum of the class-wise losses by applying the estimated class-wise loss scaling weights to the identified class-wise losses of the neural network, and deriving a total loss of the neural network by summing the identified class-wise losses and the weighted sum of the class-wise losses.

Abstract: According to an embodiment of the present disclosure, there is provided a waste plastic gasification device including: a raw material input unit for inputting waste plastic raw materials; a first gasification unit that pyrolyzes the waste plastic raw materials at low temperatures using superheated steam to produce a mixed gas and preheats residual raw materials that have not been decomposed; a second gasification unit that further decomposes the preheated residual raw materials through plasma to produce the mixed gas; a residue discharge unit that stores and discharges waste plastic residual melt slag that has not been decomposed in the second gasification unit; and a heat exchange unit for cooling the mixed gas generated in the first gasification unit and the second gasification unit, wherein the second gasification unit is inclined in a direction of the residue discharge unit to discharge the waste plastic residual melt slag.

Abstract: An embodiment provides an alkali metal thermal-to-electric converter including a thermal-to-electric conversion cell including three layers including an anode layer, a solid electrolyte layer, and a cathode layer, having a convex-concave shape with alternately appearing concave and convex portions, and configured to move alkali metal ions through the solid electrolyte layer, a high temperature portion that supplies a high temperature alkali metal fluid to the anode layer of the thermal-to-electric conversion cell, and a low temperature portion that condenses the alkaline metal fluid discharged to the cathode layer of the thermal-to-electric conversion cell to a low temperature and moves the alkaline metal fluid to the high temperature portion.

Abstract: An apparatus for manufacturing hydrogen peroxide water by using electrostatic spraying is disclosed. An apparatus for manufacturing hydrogen peroxide water by using electrostatic spraying according to a first embodiment of the present disclosure comprises: a nozzle unit for spraying reaction water; a ground unit disposed opposite to the nozzle unit; and a power supply unit for applying a high voltage between the nozzle unit and the ground unit, wherein the reaction water is formed into fine droplets with a particle size of 20 ?m or less in the nozzle unit and is electrostatically sprayed, and ionized hydrogen ions (H+) and hydroxide ions (OH?) react with each other again to form hydrogen peroxide.

Abstract: An apparatus for classifying fake images according to an embodiment of the present disclosure includes an artifact remover configured to receive an input image to generate an artifact-removed image from which artifacts are removed, an artifact image generator configured to generate an artifact image by using a difference between the input image and the artifact removal image, and a determiner configured to determine whether the artifact image is a real image or a fake image by receiving the artifact image.

Abstract: An apparatus for video representation learning according to an embodiment may extract video features from video data to generate a video embedding, extract image features from image data extracted from the video data to generate an image embedding, and extract audio features from audio data extracted from the video data to generate an audio embedding. Further, contrastive learning may be performed by generating a first compositional embedding based on the video embedding and the audio embedding, generating a second compositional embedding based on the video embedding and the audio embedding, generating a positive sample and a negative sample based on a correlation between the image embedding and the audio embedding, and then using the data.

Abstract: An apparatus for video representation learning according to an embodiment may extract video features from video data to generate a video embedding, extract image features from image data extracted from the video data to generate an image embedding, and extract audio features from audio data extracted from the video data to generate an audio embedding. Further, contrastive learning may be performed by generating a first compositional embedding based on the video embedding and the audio embedding, generating a second compositional embedding based on the video embedding and the audio embedding, generating a positive sample and a negative sample based on a correlation between the image embedding and the audio embedding, and then using the data.

Abstract: A compound of Chemical Formula 1, and an organic photoelectric device, an image sensor, and an electronic device including the same are disclosed: In Chemical Formula 1, each substituent is the same as described in the detailed description.

Abstract: An apparatus for classifying fake images according to an embodiment of the present disclosure includes an artifact remover configured to receive an input image to generate an artifact-removed image from which artifacts are removed, an artifact image generator configured to generate an artifact image by using a difference between the input image and the artifact removal image, and a determiner configured to determine whether the artifact image is a real image or a fake image by receiving the artifact image.

Abstract: A thrust supporting apparatus includes: a thrust runner configured to rotate integrally with a shaft; and a foil thrust bearing supporting an axial load of the shaft, the axial load being transmitted from the thrust runner. The foil thrust bearing includes a top foil facing a first surface of the thrust runner, and the thrust runner comprises first one or more grooves formed on the first surface.

Abstract: An air foil bearing includes a bearing housing having a cylindrical shape that forms an accommodation space in a middle thereof for a rotating shaft, rotor, or journal; a first foil including a plurality of bump foils, which are arranged along an inner wall surface of the accommodation space of the bearing housing; and a second foil including a plurality of top foils, which are arranged in a circumferential direction along an inner circumference of the bearing housing to correspond to the plurality of bump foils and to support the rotating shaft, rotor, or journal. A portion of at least one of the plurality of top foils of the second foil is thicker than the other top foils of the plurality of top foils.