Abstract: An encoder and an encoding method for a multi-channel signal, and a decoder and a decoding method for a multi-channel signal are disclosed. A multi-channel signal may be efficiently processed by consecutive downmixing or upmixing.

Abstract: Provided are wake-up radio systems and methods based on backscatter wake-up radio. The wake-up radio method based on backscatter wake-up radio includes setting an arbitrary receiving window period in a window setting period by receiving a beacon signal from a data collection apparatus, transmitting a backscatter response message to the data collection apparatus based on a reception time of a contention signal received from the data collection apparatus in the set receiving window period, in the window setting period, and receiving a wake-up signal from the data collection apparatus in the data transmission period to set as a wake-up period and transmitting data to the data collection apparatus based on a scheduling time according to a backscatter response message.

Abstract: Disclosed is a binaural rendering method and apparatus for decoding a multichannel audio signal. The binaural rendering method may include: extracting an early reflection component and a late reverberation component from a binaural filter; generating a stereo audio signal by performing binaural rendering of a multichannel audio signal base on the early reflection component; and applying the late reverberation component to the generated stereo audio signal.

Abstract: The present disclosure relates to an organic electroluminescent compound and an organic electroluminescent device comprising the same. By using the organic electroluminescent compound of the present disclosure, an organic electroluminescent device having high luminous efficiency and/or long lifespan properties can be provided compared to conventional organic electroluminescent devices.

Abstract: Disclosed is a method by which a first terminal supports vehicle-to-everything (V2X) communication through a first data transmission, comprising the steps of: determining a wireless resource for a second data transmission of a second terminal; transmitting, to the second terminal, first data including information of the wireless resource; and receiving, by using the wireless resource, second data transmitted from the second terminal.

Abstract: An encoder and an encoding method for a multi-channel signal, and a decoder and a decoding method for a multi-channel signal are disclosed. A multi-channel signal may be efficiently processed by consecutive downmixing or upmixing.

Abstract: Disclosed are a quantizing method for a latent vector and a computing device for performing the quantization method. A quantizing method of a latent vector includes performing information shaping on the latent vector resulting from reduction in a dimension of an input signal using a target neural network; clamping a residual signal of the latent vector derived based on the information shaping; performing resealing on the clamped residual signal; and performing quantization on the resealed residual signal.

Abstract: Disclosed is an apparatus and method for encoding/decoding an audio signal using information of a previous frame. An audio signal encoding method includes: generating a current latent vector by reducing dimension of a current frame of an audio signal; generating a concatenation vector by concatenating a previous latent vector generated by reducing dimension of a previous frame of the audio signal with the current latent vector; and encoding and quantizing the concatenation vector.

Abstract: An audio signal encoding/decoding device and method using a filter bank is disclosed. The audio signal encoding method includes generating a plurality of first audio signals by performing filtering on an input audio signal using an analysis filter bank, generating a plurality of second audio signals by performing downsampling on the first audio signals, and outputting a bitstream by encoding and quantizing the second audio signals.

Abstract: An audio metadata providing apparatus and method and a multichannel audio data playback apparatus and method to support a dynamic format conversion are provided. Dynamic format conversion information may include information about a plurality of format conversion schemes that are used to convert a first format set by a writer of multichannel audio data into a second format that is based on a playback environment of the multichannel audio data and that are set for each of playback periods of the multichannel audio data. The audio metadata providing apparatus may provide audio metadata including the dynamic format conversion information. The multichannel audio data playback apparatus may identify the dynamic format conversion information from the audio metadata, may convert the first format of the multichannel audio data into the second format based on the identified dynamic format conversion information, and may play back the multichannel audio data with the second format.

Abstract: Disclosed are a method for coding a residual signal of LPC coefficients based on collaborative quantization and a computing device for performing the method. The residual signal coding method includes: generating encoded LPC coefficients and LPC residual signals by performing LPC analysis and quantization on an input speech; Determining a predicted LPC residual signal by applying the LPC residual signal to cross module residual learning; Performing LPC synthesis using the coded LPC coefficients and the predicted LPC residual signal; It may include the step of determining an output speech that is a synthesized output according to a result of performing the LPC synthesis.

Abstract: An electrolyte for a rechargeable lithium battery and a rechargeable lithium battery including the electrolyte, the electrolyte including a non-aqueous organic solvent; a lithium salt; and an additive, wherein the additive includes a compound represented by Chemical Formula 1: in Chemical Formula 1, R1 is a cyano group, a substituted or unsubstituted C2 to C10 alkenyl group, or a substituted or unsubstituted C2 to C10 alkynyl group.

Abstract: The presently-disclosed subject matter relates to an artificial RNA nanostructure molecule and method to treat brain tumor in a subject. More particularly, the presently disclosed subject matter relates to a RNA nanostructure containing a multiple branched RNA nanoparticle, a brain tumor targeting module, and an effective amount of a therapeutic agent. Further, the presently disclosed subject matter relates to a method of using the RNA nanostructure composition to treat brain tumor in a subject having or at risk of having brain tumor.

Abstract: An apparatus comprising one or more processors, a communication circuit, and a memory for storing instructions, which when executed, performs a method of recognizing a user utterance. The method comprises: receiving first data associated with a user utterance, performing, a first determination to determine whether the user utterance includes the first data and a specified word, performing a second determination to determine whether the first data includes the specified word, transmitting the first data to an external server, receiving a text generated from the first data by the external server, performing a third determination to determine whether the received text matches the specified word, and determining whether to activate the voice-based input system based on the third determination.

Abstract: An emotional speech generating method and apparatus capable of adjusting an emotional intensity is disclosed. The emotional speech generating method includes generating emotion groups by grouping weight vectors representing a same emotion into a same emotion group, determining an internal distance between weight vectors included in a same emotion group, determining an external distance between weight vectors included in a same emotion group and weight vectors included in another emotion group, determining a representative weight vector of each of the emotion groups based on the internal distance and the external distance, generating a style embedding by applying the representative weight vector of each of the emotion groups to a style token including prosodic information for expressing an emotion, and generating an emotional speech expressing the emotion using the style embedding.

Abstract: An apparatus for controlling charging of an electric vehicle and a method therefor are provided. The apparatus includes a communication device that performs vehicle-to-everything (V2X) communication with a charging station management server outside the electric vehicle and a vehicle management server configured to manage shared vehicles and a processor that requests the charging station management server to reserve a charging station via the communication device and automatically requests the vehicle management server to reserve a shared vehicle to be used when the electric vehicle is charged, via the communication device, when a vehicle power for driving to a destination is insufficient.

Abstract: An additive represented by Chemical Formula 1, an electrolyte for a rechargeable lithium battery including the same, and a rechargeable lithium battery, wherein, in Chemical Formula 1, R1 to R6 are each independently a substituted or unsubstituted C1 to C10 alkyl group, a substituted or unsubstituted C1 to C10 alkoxy group, a substituted or unsubstituted C2 to C10 alkenyl group, a substituted or unsubstituted C3 to C10 cycloalkyl group, a substituted or unsubstituted C3 to C10 cycloalkenyl group, or a substituted or unsubstituted C6 to C20 aryl group.

Abstract: Disclosed is a binaural rendering method and apparatus for decoding a multichannel audio signal. The binaural rendering method may include: extracting an early reflection component and a late reverberation component from a binaural filter; generating a stereo audio signal by performing binaural rendering of a multichannel audio signal base on the early reflection component; and applying the late reverberation component to the generated stereo audio signal.

Abstract: Provided are an audio encoding method, an audio decoding method, an audio encoding apparatus, and an audio decoding apparatus using dynamic model parameters. The audio encoding method using dynamic model parameters may use dynamic model parameters corresponding to each of the levels of the encoding network when reducing the dimension of an audio signal in the encoding network. In addition, the audio decoding method using the dynamic model parameter may use a dynamic model parameter corresponding to each of the levels of the decoding network when extending the dimension of an audio signal in an encoding network.

Abstract: A packer classification apparatus extracts features based on a section that holds packer information from files and classifies packers using a Deep Neural Network(DNN) for detection of new/variant packers. A packer classification apparatus according to an embodiment uses PE section information. packer classification apparatus includes a collection classification module collecting a data set and classifying data by packer type to prepare for a model learning, a token hash module tokenizing a character string obtained after extracting labels and section names of each data and combining the section names, and obtaining a certain standard output value using Feature Hashing, and a type classification module generating a learning model after learning the data set with a Deep Neural Network(DNN) algorithm using extracted features, and classifying files for each packer type using the learning model after extracting features for the files to be classified.