Abstract: There is provided a data collection system. The data collection system comprises a wake-up radio (WuR) terminal that operates in sleep mode when a wake-up signal is not received and transmits data in active mode when the wake-up signal is received; an Access Point (AP) terminal that stores information on a total number of WuR terminals in a network and sensing data collected by the WuR terminal, sets a slot through which the data is to be transmitted by the WuR terminal, and receives the data from the WuR terminal in the set slot; and a reconfigurable intelligent surface (RIS) that controls passive elements in groups, modulates the groups into different signals at the same time, and transmits the signals to a plurality of WuR terminals in a beamforming manner.

Abstract: Provided are an additive represented by Chemical Formula 1, an electrolyte for a lithium secondary battery including same, and a lithium secondary battery. The details of Chemical Formula 1 are as described in the specification.

Abstract: Methods of encoding and decoding a speech signal using a neural network model that recognizes sound sources, and encoding and decoding apparatuses for performing the methods are provided. A method of encoding a speech signal includes identifying an input signal for a plurality of sound sources; generating a latent signal by encoding the input signal; obtaining a plurality of sound source signals by separating the latent signal for each of the plurality of sound sources; determining a number of bits used for quantization of each of the plurality of sound source signals according to a type of each of the plurality of sound sources; quantizing each of the plurality of sound source signals based on the determined number of bits; and generating a bitstream by combining the plurality of quantized sound source signals.

Abstract: Disclosed herein are a method, apparatus, system, and computer-readable recording medium for image compression. An encoding apparatus performs preprocessing of feature map information, frame packing, frame classification, and encoding. A decoding apparatus performs decoding, frame depacking, and postprocessing in order to reconstruct feature map information. By encoding the feature map information, inter-prediction and intra-block prediction for a frame are performed. The encoding apparatus provides the decoding apparatus with a feature map information bitstream for reconstructing the feature map information along with an image information bitstream.

Abstract: The present invention relates to technology capable of labeling a certain site of an antibody with a certain number of chemical functional groups or cargo moieties. The present invention may provide an antibody product having high uniformity. The present invention may provide an antibody product whose antibody functions are not degraded. That is, the present invention may provide an antibody product whose antibody binding affinity and half-life are not degraded. The present invention is of great significance as being the first technology allowing site-specific labeling of an antibody without any complicated processes.

Abstract: Disclosed are methods of encoding and decoding an audio signal, and an encoder and a decoder for performing the methods. The method of encoding an audio signal includes identifying an input signal corresponding to a low frequency band of the audio signal, windowing the input signal, generating a first latent vector by inputting the windowed input signal to a first encoding model, transforming the windowed input signal into a frequency domain, generating a second latent vector by inputting the transformed input signal to a second encoding model, generating a final latent vector by combining the first latent vector and the second latent vector, and generating a bitstream corresponding to the final latent vector.

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: Various embodiments of the disclosure provide a method and apparatus for processing a voice command in an electronic device. According to various embodiments of the disclosure, the electronic device includes a microphone, a memory, and a processor operatively coupled to the microphone and the memory. The processor may be configured to wake up on the basis of detection of a voice call command, calculate a score related to recognition of the voice call command, share the score with an external device, decide whether to execute a voice command on the basis of the score, and process the voice command on the basis of the decision result. Various embodiments are possible.

Abstract: An apparatus and method for pitch-shifting an audio signal with low complexity are disclosed. The method includes identifying a distance between an audio object included in the audio signal and a listener, checking whether the distance between the audio object and the listener decreases, and performing stepwise stretching pitch-shifting of repeatedly using at least one of frequency components of the audio signal when the distance between the audio object and the listener decreases.

Abstract: Disclosed herein is an encoding method. The encoding method includes generating multiple feature maps using an input image, transforming the feature maps using a transform vector, and generating a bitstream by performing entropy encoding on at least any one of the feature map, the transform coefficient of the feature map, or the transform vector, or a combination thereof.

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 herein are a method, an apparatus and a storage medium for processing a feature map. An encoding method for a feature map includes configuring a feature frame for feature maps, and generating encoded information by performing encoding on the feature frame. A decoding method for a feature map includes reconstructing a feature frame by performing decoding on encoded information, and reconstructing feature maps using the feature frame. A feature frame is configured using feature maps, and compression using a video compression codec or a deep learning-based image compression method is applied to the feature frame.

Abstract: An additive, an electrolyte for a rechargeable lithium battery, and a rechargeable lithium battery, the additive being represented by Chemical Formula 1:

Abstract: Disclosed herein are a video-decoding method and apparatus and a video encoding method and apparatus, and more particularly a method and an apparatus which perform region-differential image encoding/decoding using a recovered image. In accordance with an encoding method according to an embodiment, a recovered low-quality image is generated by performing encoding on an original image and a recovered high-quality image is generated using the recovered low-quality image. An image is segmented into multiple regions, and encoded reconstruction information for generating a reconstructed high-quality image is generated by performing encoding on the image.

Abstract: Provided is an encoding method according to various example embodiments and an encoder performing the method. The encoding method includes outputting a linear prediction(LP) coefficients bitstream and a residual signal by performing a linear prediction analysis on an input signal, outputting a first latent signal obtained by encoding a periodic component of the residual signal, using a first neural network module, outputting a first bitstream obtained by quantizing the first latent signal, using a quantization module, outputting a second latent signal obtained by encoding an aperiodic component of the residual signal, using the first neural network module, and outputting a second bitstream obtained by quantizing the second latent signal, using the quantization module, wherein the aperiodic component of the residual signal is calculated based on a periodic component of the residual signal decoded from the quantized first latent signal output by de-quantizing the first bitstream.

Abstract: An audio signal encoding method performed by an encoder includes identifying an audio signal of a time domain in units of a block, generating a combined block by combining i) a current original block of the audio signal and ii) a previous original block chronologically adjacent to the current original block, extracting a first residual signal of a frequency domain from the combined block using linear predictive coding of a time domain, overlapping chronologically adjacent first residual signals among first residual signals converted into a time domain, and quantizing a second residual signal of a time domain extracted from the overlapped first residual signal by converting the second residual signal of the time domain into a frequency domain using linear predictive coding of a frequency domain.

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 encoding/decoding apparatus and method using vector quantized residual error features are disclosed. An audio signal encoding method includes outputting a bitstream of a main codec by encoding an original signal, decoding the bitstream of the main codec, determining a residual error feature vector from a feature vector of a decoded signal and a feature vector of the original signal, and outputting a bitstream of additional information by encoding the residual error feature vector.

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.

Abstract: A user interface comprising at least a set of reaction icons configured to initiate a search of content of a communication platform is described. In an example, at least the set of reaction icons can be presented via the user interface of the communication platform, wherein individual reaction icons of the set of reaction icons are selectable as search parameters in the user interface. In response to receiving a selection of at least one reaction icon, a search for content, associated with the at least one reaction icon, stored in a database associated with the communication platform can be initiated.