Abstract: Disclosed herein are an apparatus and method for sharing an augmented intelligence model of a containerized artificial intelligence (AI) model. The apparatus includes memory in which at least one program is recorded and a processor for executing the program. The program may perform downloading an AI module of a Docker image included in a robot application from container storage by referring to previously stored application configuration information, retrieving model information about an intelligence model used by the AI module from model information storage and downloading the corresponding intelligence model from model storage based on the retrieved model information, and executing the AI module in a container by mounting the intelligence model stored in a local file system as a volume in the container.

Abstract: Disclosed herein are an apparatus and method for retrieving on-chain data based on an index. The apparatus includes memory in which at least one program is recorded and a processor for executing the program. The program may include a blockchain connection manager for recording data in at least one node or retrieving data from at least one node and outputting the same by being connected to a blockchain network formed of multiple nodes, a blockchain index manager for creating and managing an index for data stored in at least one node, and a query engine for requesting storage of data resulting from a transaction in a corresponding node through the blockchain connection manager, creating an index on the stored data by interworking with the blockchain index manager, and acquiring and outputting data that is retrieved based on the index through the blockchain connection manger in response to a retrieval request.

Abstract: A resource management method carried out by an integrated access and backhaul (IAB) node in a communication system, according to one embodiment of the present invention, may comprise the steps of: receiving, from an upper-level node of an IAB node, a first upper layer signaling signal for resource configuration of the IAB node; receiving, from the upper-level node of the IAB node, a second upper layer signaling signal for resource configuration of the IAB node; and, on the basis of the first and second upper layer signaling signals, determining that an IAB-mobile terminal (IAB-MT) and an IAB-distributed unit (IAB-DU) constituting the IAB node carry out communication by being multiplexed by any one scheme among time division, frequency division and spatial division.

Abstract: The present invention relates to an image information decoding method. The decoding method includes receiving a bit stream including a Network Abstraction Layer (NAL) unit that includes information related to encoded image, and parsing a NAL unit header of the NAL unit. The NAL unit header may not include 1 bit flag information that represents whether a picture is a non-reference picture or a reference picture in the entire bit stream during encoding.

Abstract: Provided is an optical system which may acquire a hyperspectral image by acquiring a spectral image of an object to be measured, which includes, to collect spectral data and train the neural network, an image forming part forming an image from an object to be measured and transmitting collimated light, a slit moving to scan the incident image and passing and outputting a part of the formed image, and a first optical part obtaining spectral data by splitting light of the image received through the slit by wavelength. Also, the system includes, to decompose overlapped spectral data and to infer hyperspectral image data through the trained neural network, an image forming part forming an image from an object to be measured and transmitting collimated light, and a first optical part obtaining spectral data by splitting light of the received image by wavelength.

Abstract: An operation method of a relay node may include: receiving, from a first communication node, first data composed of n bits; receiving, from a second communication node, second data composed of m bits; in response to determining that n is greater than m, generating first T-data of m bits excluding (n-m) bits from the n-bits of the first data and first R-data of (n-m) bits; generating third data by performing a network coding operation on the first T-data and the second data; transmitting the third data to the first communication node; and transmitting the third data and the first R-data to the second communication node.

Abstract: The Zero User Interface (UI)-based automatic speech translation system and method can solve problems such as the procedural inconvenience of inputting speech signals and the malfunction of speech recognition due to crosstalk when users who speak difference languages have a face-to-face conversation. The system includes an automatic speech translation server, speaker terminals and a counterpart terminal. The automatic speech translation server selects a speech signal of a speaker among multiple speech signals received from speaker terminals connected to an automatic speech translation service and transmits a result of translating the speech signal of the speaker into a target language to a counterpart terminal.

Abstract: A method of generating a residual signal performed by an encoder includes identifying an input signal including an audio sample, generating a first residual signal from the input signal using linear predictive coding (LPC), generating a second residual signal having a less information amount than the first residual signal by transforming the first residual signal, transforming the second residual signal into a frequency domain, and generating a third residual signal having a less information amount than the second residual signal from the transformed second residual signal using frequency-domain prediction (FDP) coding.

Abstract: An operation method of a terminal in a communication system may comprise: performing a monitoring operation to receive BWP configuration information for common downlink communication; in response to receiving the BWP configuration information from the base station, configuring a common frequency region for the common downlink communication based on the BWP configuration information; receiving DCI including scheduling information of the common downlink communication from the base station; and performing the common downlink communication with the base station in the common frequency region by using a frequency resource indicated by the scheduling information, wherein the common downlink communication is communication between the base station and a plurality of terminals including the terminal.

Abstract: Provided is an atypical environment-based location recognition apparatus. The apparatus includes a sensing information acquisition unit configured to, from sensing data collected by sensor modules, detect object location information and semantic label information of a video image and detect an event in the video image; a walk navigation information provision unit configured to acquire user movement information; a metric map generation module configured to generate a video odometric map using sensing data collected through a sensing information acquisition unit and reflect the semantic label information; and a topology map generation module configured to generate a topology node using sensing data acquired through the sensing information acquisition unit and update the topology node through the collected user movement information.

Abstract: A method for generating data sets of a UAV, performed by a data set generation apparatus, may comprise obtaining flight environment information including a moving object; obtaining flight data including first physical information and first sensor information of the UAV in a flight environment based on the flight environment information; obtaining second physical information and second sensor information of the UAV when the moving object exists, based on the flight data, and generating a first data set based on the second physical information and the second sensor information; obtaining third physical information and third sensor information of the UAV when the moving object does not exist, based on the flight data, and generating a second data set based on the third physical information and the third sensor information; and combining the first data set and the second data set to generate a third data set.

Abstract: Disclosed herein is a method of decoding an image including deriving intra prediction mode of a current block using an intra prediction mode of a neighbor block adjacent to the current block, constructing a reference sample of the current block, and performing intra prediction with respect to the current block using the intra prediction mode of the current block and the reference sample. The deriving of the intra prediction mode of the current block includes constructing a most probable mode (MPM) list based on whether the intra prediction mode of the current block is a Planar mode.

Abstract: A neuron circuit and an operating method thereof are disclosed. The neuron circuit may include an input unit to which an input pulse is applied, a bipolar memristor configured to have one end connected to one end of the input unit, a first capacitor configured to be connected between the one end of the bipolar memristor and a ground, a first diode configured to have an anode connected to the one end of the bipolar component, a second capacitor configured to have one end connected to a cathode of the first diode, a first switch configured to be connected between the one end of the second capacitor and the ground, and a second switch configured to be connected between the anode of the first diode and the other end of the second capacitor.

Abstract: Disclosed are an image encoding method using a skip mode and a device using the method. The image encoding method may comprise the steps of: judging whether there is residual block data of a prediction target block on the basis of predetermined data indicating whether residual block data has been encoded; and, if there is residual block data, restoring the prediction target block on the basis of the residual block data and an intra-screen predictive value of the prediction target block. Consequently, encoding and decoding efficiency can be increased by carrying out the encoding and decoding of screen residual data only for prediction target blocks where there is a need for a residual data block in accordance with screen similarity.

Abstract: Disclosed is a session management method based on protocol data unit (PDU) session anchor (PSA) relocation, and a device performing the session management method. The session management method may include determining to perform PSA relocation, establishing a new PSA device through the PSA relocation, and releasing an existing PSA device, in which the PSA relocation may allow traffic moving towards the existing PSA device to move to the new PSA device.

Abstract: There is provided a method of decoding an image, the method comprising: decoding information for motion information prediction of a current block from a bitstream, predicting motion information of the current block based on the information, refining motion information of the current block by using the decoded information and the predicted motion information of the current block and reconstructing the current block based on the refined motion information of the current block.

Abstract: A method, apparatus, and system for providing a zoomable stereo 360 virtual reality (VR) video are provided. The method includes receiving media presentation description (MPD) information including information on video bit streams obtained by encoding each piece of video data by different conditions, decoding a video bit stream corresponding to a communication environment of a client device based on the MPD information and outputting a streaming video, receiving a user's resizing input for the streaming video, and decoding a video bit stream corresponding to the resizing input and outputting an adjusted streaming video.

Abstract: A method of a terminal may comprise: receiving, from a CU of a base station, configuration information of one or more candidate cells and configuration information for measurement; performing L1 measurement on the candidate cells based on the configuration information for measurement; acquiring uplink synchronization for the candidate cells by performing an uplink synchronization management procedure for the candidate cells based on the configuration information of the candidate cells; reporting a result of the L1 measurement to a DU of the base station; receiving, from the DU of the base station, information on a target cell, being the target cell to switch among the candidate cells, based on the result of the L1 measurement; and applying the uplink synchronization acquired through the uplink synchronization management procedure to the target cell.

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: Disclosed herein is a method for determining network parameters. The method includes receiving factory equipment traffic information, unlicensed frequency characteristic information, and factory equipment characteristic information and determining network parameters by taking into account at least one of the factory equipment traffic information, the unlicensed frequency characteristic information, or the factory equipment characteristic information, or a combination thereof, and the network parameters may include at least one of channel access parameters, unlicensed bands/channels, or client grouping, or a combination thereof.