Abstract: Disclosed herein are a video decoding method and apparatus and a video encoding method and apparatus, and more particularly, a method and apparatus for performing filtering in video encoding and decoding. An encoding apparatus may perform filtering on a target, and may generate filtering information indicating whether filtering has been performed on the target. Further, the encoding apparatus may generate a bitstream including filtering information. A decoding apparatus may determine, based on filtering information, whether to perform filtering on a target, and may perform filtering on the target. The decoding apparatus may receive filtering information from the encoding apparatus through a bitstream or may derive filtering information using additional information.

Abstract: In the present disclosure, a method and a device for region of interest-based image encoding/decoding for machine vision may include extracting region of interest information in an image, performing an object tracking between frames based on the region of interest information, varying a resolution for each region of interest, and encoding an image with the region of interest information.

Abstract: Disclosed herein is a method for encoding a feature map. The method may include arranging multiple channels based on similarity therebetween for a feature map having the multiple channels, rearranging the arranged multiple channels so as to be adjacent to each other in a feature map channel having a matrix form, and generating an encoded feature map by converting a feature value corresponding to the feature map channel from a real number to an integer.

Abstract: The present invention relates to a decoding method for a bit stream that supports a plurality of layers. The decoding method may include receiving information on a set of video parameters that includes information on the plurality of layers, and parsing the set of video parameters to 5 grasp information on the layers in the bit stream.

Abstract: A method of integrating different homomorphic operations in homomorphic encryption is provided. The method includes receiving a homomorphic ciphertext and encryption scheme information from a ciphertext generating apparatus by using a communication interface, performing a homomorphic multiplication operation on the homomorphic ciphertext by using a homomorphic multiplication operator, analyzing the encryption scheme information to determine one operation of a re-linearization operation performed by a re-linearization operator and a key switching operation performed by a key switching operator by using a main controller, performing the determined one operation by using the re-linearization operator or the key switching operator, and performing a modulus switching operation on an operation result of the determined one operation by using a modulus switching operator.

Abstract: A method and a device for encoding/decoding images are disclosed. The method for encoding images comprises the steps of: deriving a scan type of a residual signal for a current block according to whether or not the current block is a transform skip block; and applying the scan type to the residual signal for the current block, wherein the transform skip block is a block to which transform for the current block is not applied and is specified on the basis of information indicating whether or not transform for the current block is to be applied.

Abstract: A surface plasmon resonance imaging apparatus is provided. The surface plasmon resonance imaging apparatus includes a light irradiation unit configured to irradiate polarized light onto a metal coating film provided on one surface of a prism, a light modulator configured to spatially pattern-encode light reflected by the metal coating film and the prism, a light detector configured to detect a pattern-encoded light signal, obtained through pattern-encoding by the light modulator, as a spectral signal, a signal processor configured to spatially decode the spectral signal and analyze a decoded spectral signal to generate characteristic data of a sample provided on the metal coating film, and an output unit configured to output the characteristic data of the sample as a two-dimensional (2D) image.

Abstract: Disclosed herein is a method for detecting a covert channel in wireless communication. The method includes setting a wireless communication specification, detecting a covert timing channel, and detecting a covert storage channel.

Abstract: Provided is a device for amplifying and detecting a gene. The device for amplifying and detecting the gene includes a gene amplification chip comprising channels through which a sample flows and transparent heaters provided on the gene amplification chip. The channels include a first channel, a second channel, and a third channel, and the first to third channels have a triangular loop structure, and the transparent heaters include a first transparent heater, a second transparent heater, and a third transparent heater, which are respectively provided on the first to third channels.

Abstract: The present invention relates to a system and a method for encoding/decoding 2D data for 3D rendering, and an apparatus therefor. A method for encoding 2D video data for 3D rendering according to one aspect of the present disclosure may include: generating one or more 2D patch data from 2D data; generating patch area separation information for distinguishing the 2D patch data in the 2D data; generating 3D spatial information for the 2D data and/or the 2D patch data; generating a video stream including the 2D data and/or the 2D patch data and metadata for the video stream, wherein the metadata includes the patch area separation information and the 3D spatial information; and encoding the video stream and the metadata.

Abstract: A latent representation encoding method based on hierarchical quantization according to the present disclosure may include quantizing a latent representation for a current layer; and entropy-encoding a quantized latent representation. In this case, quantizing the latent representation includes determining quantization intervals for the current layer, and a size of the quantization intervals of the current layer may be the same as a size of a quantization interval to which the latent representation within a previous layer belongs.

Abstract: The present invention relates to a system and a method for encoding/decoding 3D data, and an apparatus therefor. A method for encoding 3D data according to one aspect of the present disclosure may include: generating 2D patch data from 2D data; generating patch area separation information for distinguishing the 2D patch data in the 2D data; generating 3D spatial information for the 2D data and/or the 2D patch data; converting the 2D data and/or the 2D patch data into 3D data based on the patch area separation information and the 3D spatial information; and encoding the 3D data.

Abstract: Disclosed herein is an apparatus and method for password-based distributed authentication. The apparatus includes memory in which at least one program is recorded and a processor for executing the program. The program may perform at least one of registering a password input by a user in a service membership sign-up procedure in multiple servers in a distributed manner based on multi-party computation, authenticating a password input by the user in a login procedure based on multi-party computation with the multiple servers, or acquiring resources of a service requested by the authenticated user, or a combination thereof.

Abstract: Disclosed herein are an apparatus and method for issuing delegated credentials between digital wallets possessed by multiple users connected to a Decentralized Identifier (DID) registry through wired/wireless communication. The method includes receiving, by a digital wallet of a first user, a delegated credential issuance request message including a newly created DID document from a digital wallet of a second user, generating, by the digital wallet of the first user, a delegated credential using both the delegated credential issuance request message, received from the digital wallet of the second user, and an original credential, previously issued by the digital wallet of the first user, and transmitting, by the digital wallet of the first user, the generated delegated credential and the original credential, together with a delegated credential registration request message, to the digital wallet of the second user.

Abstract: An operation method in a communication system may comprise: obtaining information on a per-beam required traffic amount; determining whether the per-beam required traffic amount can be serviced while satisfying a first condition according to a first model generated through pre-training in a first machine learning structure; in response to determining that the per-beam required traffic amount can be serviced while satisfying the first condition, calculating per-beam bandwidth allocation information based on the per-beam required traffic amount; calculating per-beam power allocation information based on the per-beam bandwidth allocation information; identifying whether an SNR condition included in the first condition is satisfied based on the per-beam power allocation information; and in response to identifying that the SNR condition is satisfied, outputting the per-beam bandwidth allocation information and the per-beam power allocation information.

Abstract: The present disclosure discloses beamforming methods and apparatuses. According to an exemplary embodiment of the present disclosure, an antenna message generation deep neural network (DNN) and a beam characteristic generation DNN of a bipartite graph neural network (BGNN) having terminals as vertices on one side and APs as vertices on another side may be constructed.

Abstract: Disclosed is a computing device, which includes a processor, a camera that captures RGB image data, a memory that stores image data including the RGB image data, and a pupil detection device that detects a pupil from the RGB image data stored in the memory in response to a request of the processor. The pupil detection device includes an image converter that receives the RGB image data, detects first eye area data including eye area information from the received RGB image data, and converts the first eye area data into second eye area data having IR (InfraRed) image characteristics by using a deep neural network, a pupil candidate detector that detects pupil candidate data from the second eye area data, and a pupil boundary detector that detects pupil boundary data from the pupil candidate data.

Abstract: Provided are a device and method for estimating blood pressure in a non-contact manner. The device includes a memory, an imaging module that captures a body part image of a user, and a processor connected to the memory and the imaging module. The processor extracts a remote photoplethysmography (rPPG) signal from the body part image, detects a plurality of peak values from the rPPG signal, extracts heart rate variability (HRV) parameters using the detected peak values, and estimates blood pressure of the user on the basis of the HRV parameters.

Abstract: Disclosed is a data processing device of the spiking neural network, which includes a discretizer that receives time-series data, discretizes the time-series data based on sampling, and outputs sampled time-series data, and a control unit that receives the sampled time-series data, extracts a voltage feature and a time feature from the sampled time-series data, and increases the number of spikes firing in an input neuron each corresponding to the voltage feature and the time feature extracted from a plurality of input neurons including first to n-th input neurons, with respect to the “n”, which is an arbitrary positive integer.

Abstract: An electronic device for predicting an occurrence of air leakage of an air compressor and a method of operating the same are provided. The electronic device includes a processor and a memory configured to store instructions, wherein the instructions, when executed by the processor, may cause the electronic device to obtain suction data about air sucked by an air compressor and emission data about air emitted from the air compressor, determine whether air leakage occurs in the air compressor, based on the suction data and the emission data, obtain air leakage data related to an occurrence of the air leakage from a plurality of sensors mounted on the air compressor, and train a model for predicting the occurrence of the air leakage of the air compressor in advance by matching whether the air leakage occurs to the air leakage data before a predetermined time from a time of the occurrence of the air leakage.