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: 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: 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: 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 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: 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: 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: 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: 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 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: An apparatus for generating text from an image may comprise: a memory configured to store at least one instruction; and a processor configured to execute the at least one instruction, wherein the processor is further configured to generate encoding information for an image based on the image and extract text information related to content of the image based on a degree of association with the encoding information.

Abstract: Disclosed herein are an artificial intelligence application provision method and apparatus for supporting Edge computing for Cyber-Physical Systems (EdgeCPS). The artificial intelligence application provision method includes receiving an artificial intelligence application and service specification, obtaining artificial intelligence-related information allocated from an artificial intelligence information sharing database based on the artificial intelligence application and service specification, creating a pipeline specification corresponding to the artificial intelligence application and service specification, and allocating resources corresponding to respective pipelines using the pipeline specification.

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: Disclosed herein is a method for task planning for collaboration of artificial intelligence (AI) agents. The method includes generating a scene graph using an image acquired by an AI agent and a human instruction and generating a machine instruction set for objects in the scene graph, and the scene graph includes relevance information between each of the objects in the scene graph and the human instruction.

Abstract: Disclosed herein are a method for machine-learning parallelization using host CPUs of a multi-socket structure and an apparatus therefor. The method, performed by the apparatus for machine-learning parallelization using host CPUs of a multi-socket structure, includes a compile phase in which a learning model is split at a layer level for respective pipeline stages and allocated to Non-Uniform Memory Access (NUMA) nodes for respective CPU sockets and a runtime phase in which parameters required for learning are initialized and multiple threads generated in consideration of a policy of each parallelism algorithm are executed by being allocated to respective cores included in the NUMA node.

Abstract: The present invention relates to verifying the suitability of a tool and diagnosing a spindle for a machining center on which different tools are mounted. Provided are a machining center spindle diagnosis apparatus and method configured to monitor a change of a tool in the machining center; when the change of the tool is recognized, control the machining center to idle the spindle; acquire sensor data from a sensor installed on the machining center during the idling of the spindle; input the acquired sensor data to a tool verifying model pre-trained by a machine learning technology to verify suitability of the tool; and when the tool is verified to be suitable, inputting the acquired sensor data to a spindle diagnosing model pre-trained by the machine learning technology to diagnose an operating state of the spindle.

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.

Abstract: The present disclosure relates to a question answering system and method capable of inferring multiple correct answers. The question answering system capable of inferring multiple correct answers according to the present disclosure includes an input interface device configured to receive a query, a memory for storing a program that analyzes the query and searches for a paragraph with a high probability of including a correct answer through a document search, and a processor for executing the program, wherein the processor extracts a correct answer using a result of the searching for a paragraph with a high probability of including a correct answer, determines whether the extracted correct answer corresponds to multiple correct answers, and provides a correct answer extraction result.

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.