Abstract: An audio signal encoding/decoding method and an apparatus for performing the same are disclosed. The audio signal encoding method includes obtaining a full-band input signal, extracting a first feature vector corresponding to a first sub-band signal and a second feature vector corresponding to a second sub-band signal using an encoder neural network including a plurality of encoding layers, generating a first code vector corresponding to the first feature vector and a second code vector corresponding to the second feature vector by compressing the first feature vector and the second feature vector, and generating a bitstream by quantizing the first code vector and the second code vector.

Abstract: Provided is an encoding apparatus including a memory configured to store instructions and a processor electrically connected to the memory and configured to execute the instructions, wherein the processor may be configured to perform a plurality of operations, when the instructions are executed by the processor, wherein the plurality of operations may include obtaining an input audio signal, generating an embedded audio signal by embedding signal components of a second frequency band of the input audio signal in a first frequency band of the input audio signal, generating additional information associated with the first frequency band and the second frequency band, generating an encoded audio signal by encoding the embedded audio signal, and formatting the encoded audio signal and the additional information into a bitstream.

Abstract: Discloses is an unpowered transparent antenna that can be installed to reduce or remove a radio wave shadow area such as an interior even without power. In order to achieve the objectives, an unpowered transparent antenna includes: a first conductive layer having a mesh structure; and a second conductive layer having a mesh structure and positioned on the bottom of the first conductive layer, in which an aperture ratio of the first and second conductive layers is 50% or more.

Abstract: A video decoding apparatus decodes a sequence of one or more pictures in the unit of blocks which are split from each picture. The apparatus comprising a decoder configured to reconstruct, from a bitstream, a current motion vector difference of the current block among the blocks which belong to the sequence of one or more pictures, and an image decoder configured to predict and decode the current block using the motion vector of the current block. When the current motion vector difference of the current block is zero, the resolution of the current motion vector difference of the current block is set to the ¼ pixel precision without the information on the motion vector resolution extracted.

Abstract: A gripper includes a body part, a finger base part coupled to the body part, and a finger part coupled to a first side of the body part or the finger base part and coupled to the body part or the finger base part to be reciprocal, wherein the finger part comprises a first link structure and a second link structure, sides of which are coupled to the finger base part, respectively, and wherein, in the first link structure and the second link structure, a first support area of the first link structure and a second support area of the second link structure reciprocate in only one of a plurality of directions that cross a direction in which the finger part reciprocates with respect to the finger base part.

Abstract: A gripper includes a body part, a finger base part coupled to the body part to be rotatable, the finger base part including a first finger base part and a second finger base part configured such that when the first finger base part is rotated in a first direction with respect to the body part, the second finger base part is provided to be rotatable in a second direction opposite the first direction with respect to the body part, and a finger part coupled to a first side of the body part or the finger base part to be reciprocal.

Abstract: A fuel cell system including an air supply line configured to supply inflow air to a fuel cell stack and a wake air supply line connected with the air supply line and configured to supply wake air generated by a rotation of a rotor associated with the fuel cell system, to the air supply line.

Abstract: A seasoning provision device according to the present invention comprises: a work unit provided to acquire the weight of a food material to be loaded thereon; a seasoning provision unit provided to form a semi-finished product by providing seasoning of a seasoning serving amount, which is a predetermined weight, to the food material loaded on the work unit; and a processor electrically connected to the work unit and the seasoning provision unit, wherein the processor controls the seasoning provision unit so that seasoning is provided according to the seasoning serving amount determined on the basis of the weight of the food material acquired by the work unit.

Abstract: Disclosed is an apparatus and method for audio encoding/decoding that is robust against coding distortion in a transition section. An audio encoding method includes outputting a frequency domain signal by time-to-frequency (T/F) transform of an input signal, outputting a frequency domain residual signal in which a frequency axis envelope is removed from the frequency domain signal by applying frequency domain noise shaping (FDNS) encoding to the frequency domain signal, outputting a time domain residual signal in which a time axis envelope is removed by performing linear prediction coefficient (LPC) analysis based on the frequency domain residual signal, and quantizing and transmitting the time domain residual signal.

Abstract: An embodiment device includes an input module including a motor configured to generate a rotational force, an output module configured to receive power from the input module to be rotatable, and a connection module having a first side coupled to the input module and a second side, opposite the first side, coupled to the output module, wherein the connection module is configured to transmit the power from the input module to the output module.

Abstract: A method and an apparatus are configured for intra prediction coding of video data. An apparatus for decoding video data includes: a decoding unit which obtains, from a bitstream, information on a luma prediction mode and information on a chroma prediction mode of a current coding block; and an intra prediction unit which generates luma prediction samples and chroma prediction samples of the current coding block. The intra prediction unit derives a luma intra prediction type and a luma intra prediction mode of the current coding block on the basis of the information on the luma prediction mode, and determines a chroma intra prediction mode of the current coding block on the basis of the luma intra prediction type and the luma intra prediction mode of the current coding block, and the information on the chroma prediction mode.

Abstract: Disclosed herein is a method for decoding a video including determining a coding unit to be decoded by block partitioning, decoding prediction syntaxes for the coding unit, the prediction syntaxes including a skip flag indicating whether the coding unit is encoded in a skip mode, after the decoding of the prediction syntaxes, decoding transform syntaxes including a transformation/quantization skip flag and a coding unit cbf, wherein the transformation/quantization skip flag indicates whether inverse transformation, inverse quantization, and at least part of in-loop filterings are skipped, and the coding unit cbf indicates whether all coefficients in a luma block and two chroma blocks constituting the coding unit are zero, and reconstructing the coding unit based on the prediction syntaxes and the transform syntaxes.

Abstract: Provided are an apparatus for encoding an audio signal and a method of an operation thereof. An audio signal encoding method includes obtaining quantized linear prediction (LP) coefficients by performing a linear predictive coding (LPC) analysis and quantization on an input audio signal, generating a reference signal by applying discrete Fourier transform (DFT) to the input audio signal, obtaining LP residual coefficients from the reference signal, scaling magnitudes of the LP residual coefficients using the quantized LP coefficients and the reference signal, and quantizing phases of the LP residual coefficients and the scaled magnitudes of the LP residual coefficients.

Abstract: A method, executed by a processor for compressing an audio signal in multiple layers, may comprise: (a) restoring, in a highest layer, an input audio signal as a first signal; (b) restoring, in at least one intermediate layer, a signal obtained by subtracting an upsampled signal, which is obtained by upsampling the audio signal restored in the highest layer or an immediately previous intermediate layer, from the input audio signal as a second signal; and (c) restoring, in a lowest layer, a signal obtained by subtracting an upsampled signal, which is obtained by upsampling the audio signal restored in an intermediate layer immediately before the lowest layer, from the input audio signal as a third signal, wherein the first signal, the second signal, and the third signal are combined to output a final restoration audio signal.

Abstract: The present disclosure discloses an image/video feature descriptor extraction method and apparatus for image/video search. An image/video feature descriptor extraction method may comprise obtaining a search requested image/video from a user, performing spatio-temporal transformation on the search requested image/video, extracting a feature map from the image/video subjected to the spatio-temporal transformation, and extracting an image/video feature descriptor by applying TNIP (Temporal Nested Invariance Pooling) to the feature map.

Abstract: A method of encoding a speech signal includes predicting a feature vector of each of a plurality of frames included in the speech signal based on a ground-truth feature vector of a previous frame of each of the plurality of frames, calculating a residual signal corresponding to each of the plurality of frames based on a ground-truth feature vector of each of the plurality of frames and a predicted feature vector of each of the plurality of frames, and generating a bitstring corresponding to each of the plurality of frames by quantizing the residual signal.

Abstract: An audio signal encoding and decoding method using a neural network model, a method of training the neural network model, and an encoder and decoder performing the methods are disclosed. The encoding method includes computing the first feature information of an input signal using a recurrent encoding model, computing an output signal from the first feature information using a recurrent decoding model, calculating a residual signal by subtracting the output signal from the input signal, computing the second feature information of the residual signal using a nonrecurrent encoding model, and converting the first feature information and the second feature information to a bitstream.

Abstract: Disclosed is a nut welding automation system configured to automatically weld different types of nuts to holes formed in a metal-processed product using a robot. The system may reduce an error rate with respect to products by preventing omission of a nut or welding of a wrong type nut so that reliability in administration of the welding process may be secured and overall productivity may be improved.

Abstract: Provided is a video playback system based on approval of a playback approver. A decryption key that can decrypt an encrypted and stored recorded video is generated only when video playback is approved by a playback approver using an appointed playback approval method and transmitted to the video recording device so that it is possible to prevent leakage of the recorded video with sensitive personal information.

Abstract: Disclosed are a method of encoding and decoding an audio signal and an encoder and a decoder performing the method. The method of encoding an audio signal includes identifying an input signal, and generating a bitstring of each encoding layer by applying, to the input signal, an encoding model including a plurality of successive encoding layers that encodes the input signal, in which a current encoding layer among the encoding layers is trained to generate a bitstring of the current encoding layer by encoding an encoded signal which is a signal encoded in a previous encoding layer and quantizing an encoded signal which is a signal encoded in the current encoding layer.