Abstract: A method of a base station may comprise: detecting a beam failure for a terminal; in response to detecting the beam failure, transmitting a beam recovery early indicator (BREI) to the terminal based on a beam sweeping scheme; receiving a BREI response from the terminal; and identifying a preferred beam of the terminal based on reception of the BREI response.

Abstract: A method of user equipment may comprise: determining whether an error condition for a first beam communicating with a base station is met; when it is determined that the error condition for the first beam is met, determining whether a first physical uplink control channel (PUCCH) allocated to the user equipment is present within a predetermined first period of time; when it is determined that the first PUCCH is not present, transmitting a sounding reference signal (SRS) transmission approval request and an identifier of the user equipment to the base station through a second PUCCH pre-configured to be shared by all pieces of user equipment; and when an SRS transmission approval is received from the base station, transmitting an SRS to the base station.

Abstract: A femtosecond pulse laser apparatus includes a pump light source configured to provide a pump light, a gain medium configured to obtain a gain of a laser light using the pump light, a first curved mirror and a second curved mirror, which are provided at both sides of the gain medium, an output mirror configured to transmit a portion of the laser light and reflect the other portion of the laser light to the gain medium, a mode locking portion configured to generate a femtosecond pulse of the laser light, and an acoustic wave generator configured to provide an acoustic wave into the gain medium so as to adjust self-phase modulation of the laser light.

Abstract: An apparatus for genome sequence alignment attempts a search for the hash tables to align a target nucleotide sequence, from a hash table having a large seed size to a hash table having a small seed size, and when there is at least one matched seed to the target nucleotide sequence on a hash table, aligns the target nucleotide sequence by using candidate positions from the hash table without further hash table searching.

Abstract: The present disclosure relates to a method and apparatus for predicting application service response time in a communication system. Particularly, the present disclosure relates to a method, apparatus and system for predicting response time required to provide an application service to a user in response to the user's request of the application service in a server of a communication system. A method for predicting application service response time according to an embodiment of the present disclosure includes: data collection for collecting network data associated with a user application service, in response to a request for the application service by a user device; and data analysis for performing, by utilizing the collected data, a response time predictive analysis, in order to predict a user's application service response time. The data analysis selects an optimal prediction model by initially applying a response time prediction model and testing the initial prediction model that is applied.

Abstract: The present invention relates to image processing, and more particularly, to a video coding/decoding method using a clipped motion vector and an apparatus thereof. An embodiment of the present invention relates to a method of decoding an image. The method includes clipping a motion vector of a reference picture in a predetermined dynamic range to generate a clipped motion vector, storing the clipped motion vector in a buffer, deriving a motion vector of a coding treeblock using the motion vector stored in the buffer, and performing inter prediction decoding process using the motion vector of the coding treeblock. According to the exemplary embodiment of the present invention, a size of a memory required for storing motion vectors may be reduced.

Abstract: Disclosed herein is an intra prediction method including: deriving neighbor prediction mode information from a left neighbor prediction mode and an upper neighbor prediction mode; deriving an intra prediction mode for a decoding target unit by using the derived neighbor prediction mode information; and performing intra prediction on the decoding target unit based on the intra prediction mode. According to exemplary embodiments of the present invention, image encoding/decoding efficiency can be improved.

Abstract: A block production method and a block producing node including creating an entangled transaction list by combining a plurality of transactions received through the communication unit and producing a block using the entangled transaction list are provided.

Abstract: Disclosed are methods and apparatuses for supporting BWP-based operations in sidelink communication. An operation method of a first terminal in a communication system may include receiving, from a base station, configuration information of a mapping relationship between an uplink (UL) bandwidth part (BWP) and a sidelink (SL) BWP; when a UL switching operation for the UL BWP is performed, performing an SL switching operation for the SL BWP mapped to the UL BWP based on the mapping relationship without separate signaling indicating execution of the SL switching operation; and performing sidelink communication with a second terminal in a switched SL BWP.

Abstract: Disclosed herein are a method, an apparatus and a storage medium for image encoding/decoding using a segmentation map. A feature vector for an image may be extracted using a segmentation map. The image may be encoded using the segmentation map and the feature vector. An output stream from an encoding apparatus may include a video stream and a feature stream. An input stream to a decoding apparatus may include a video stream and a feature stream. The image may be reconstructed using a reconstructed segmentation map and a reconstructed feature vector.

Abstract: An image decoding method according to the present invention includes reconstructing a residual block by inverse-quantizing and inverse-transforming an entropy-decoded residual block, generating a prediction block by performing intra prediction on a current block, and reconstructing an picture by adding the reconstructed residual block to the prediction block, wherein generating the prediction block includes generating a final prediction value of a prediction target pixel included in the current block based on a first prediction value of the prediction target pixel and a final correction value calculated by performing an arithmetic right shift on a two's complementary integer representation for an initial correction value of the prediction target pixel by a binary digit of 1. Accordingly, upon image encoding/decoding, computation complexity may be reduced.

Abstract: The method for configuring the network of a factory energy management system (FEMS) includes receiving a parameter set for configuration of the network, generating a diagram based on a characteristic for the parameter of each of communication schemes available for configuration of the network, determining, based on the diagram, a communication characteristic matrix including a characteristic value representing the characteristic for the parameter of each of the communication schemes, determining a correlation matrix representing a weight for the parameter in each process to be managed by the FEMS, deriving a communication adaptability matrix by applying the weight corresponding to the parameter for each process of the correlation matrix to the characteristic value for the parameter of each of the communication schemes included in the communication characteristic matrix, and determining a communication scheme to be applied for each process from among the communication schemes using the communication adaptabili

Abstract: An operation method of a terminal may comprise receiving, from a base station, information of target transmission points targeted for a report of first channel state information (CSI) among the plurality of transmission points; receiving a first CSI-reference signal (CSI-RS) from the target transmission points; transmitting the first CSI determined based on the first CSI-RS to the base station; receiving, from the base station, information on a first transmission point determined based on the first CSI; receiving, from the first transmission point indicated by the information on the first transmission point, a second CSI-RS; receiving, from the base station, information on a requirement; and transmitting, to the base station, a second CSI including a transmission parameter for achieving the requirement.

Abstract: A transparent structure according to an embodiment of the present disclosure includes a first panel and a second panel, wherein the first panel includes: a first electrode; a second electrode separated from the first electrode; and a polymer dispersed liquid crystal layer disposed between the first electrode and the second electrode, the second panel includes: a third electrode; a fourth electrode separated from the third electrode; and a colloid layer disposed between the third electrode and the fourth electrode, the fourth electrode includes multiple openings, and the colloid layer includes charged particles of which surfaces exhibit (+) charge or (?) charge.

Abstract: Disclosed herein is a method for distributed training of an AI model in a channel-sharing network environment. The method includes determining whether data parallel processing is applied, calculating a computation time and a communication time when input data is evenly distributed across multiple computation devices, and unevenly distributing the input data across the multiple computation devices based on the computation time and the communication time.

Abstract: The present invention relates to a system and method for predicting AI useful life based on accelerated life testing data. The system for predicting AI useful life based on accelerated life testing data according to the present invention includes a feature extraction unit configured to receive accelerated life training data and actual operation testing result and encodes the received accelerated life training data and actual operation testing result into a latent variable, a regression network configured to be branched for each domain of data received by the feature extraction unit, and a domain discrimination network configured to map the accelerated life training data and actual operation testing result to the latent variables in a latent space.

Abstract: A network device divided into a training plane and a control plane, model management server that controls a network device, and processing methods of a network device and model management server are disclosed. A processing method may include receiving a machine learning model from a model management server, obtaining network data to generate analytics information, generating analytics information by inputting the network data to a machine learning model, feeding back the analytics information to the model management server, and generating a control command of the network device using the analytics information, wherein the analytics information is generated by a training plane function and the control command is generated by a control plane function.

Abstract: Disclosed herein are a quantum simulation apparatus and method using logical qubit synthesis. The quantum simulation apparatus is configured to generate a new virtual quantum device configured using magic qubits by dividing each logical qubit into multiple areas, extract logical qubit information from a target virtual quantum device that is a target of a logical Controlled NOT (CNOT) operation, synthesize the extracted logical qubit information into the new virtual quantum device, perform a logical CNOT operation in the synthesized virtual quantum device, extract logical qubit information from a result of the logical CNOT operation in the synthesized virtual quantum device, and synthesize the logical qubit information extracted from the result of the logical CNOT operation into the target virtual quantum device.

Abstract: Provided is a method of generating direction vectors of particles. The method includes calculating, by a processor, a center of gravity of the particles on the basis of characteristic values of one or more particles in a cluster including the particles, and generating, by the processor, direction vectors of the particles on the basis of the center of gravity.

Abstract: A method for verifying reliability of an artificial intelligence (AI) model includes receiving an AI model request; creating a verification twin for evaluating the reliability of the AI model; and verifying the reliability of the AI model based on information collected while the AI model is executed on the digital twin network.