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 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: A method of recognizing an object based on mask updates is provided. The method includes generating first result information in which a foreground and background of a predetermined input image have been separated from each other, generating second result information in which the results of the object recognition within the input image and a boundary portion of the object have been matched, calculating an objective function to be applied to each mask head based on the first and second result information and parameter information for the first and second result information, updating all of the mask heads based on the objective function, and performing object recognition based on the updated mask.

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: 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: 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: 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: Proposed is an apparatus for performing high-capacity wireless communication in a greenhouse environment, the apparatus including: a moving enabling control unit including a motor for moving at least one wireless router in an upper end portion of a greenhouse, a moving enabling module including a motor control module and a motor communication module, and a moving enabling rails installed in a predetermined number, length and direction at the upper end portion of the greenhouse, and a greenhouse integrated control unit configured to set an interval of movement of the wireless router by communicating with the motor communication module and to generate and transmit a control command for controlling the motor control module in such a manner that the wireless router moves at the set interval of movement.

Abstract: A method of a first communication node may comprise: transmitting, to a second communication node, an initiation signal indicating to initiate a collection procedure of training data for a neural network; transmitting, to the second communication node, an information signal including network parameters of the first communication node; receiving, from the second communication node, the training data in response to the information signal; training the neural network using the training data; determining optimal network parameters using the trained neural network; and performing communication with the second communication node using the optimal network parameters.

Abstract: Disclosed are a method and apparatus for connecting a terminal and a base station in a multi-hop network. A method of a terminal may comprise: receiving cell selection and reselection criteria information broadcast from a base station; determining candidate base stations among all base stations capable of communicating with the terminal based on the cell selection and reselection criteria information; selecting one connection scheme from a lightening backhaul load (LBL) scheme or a maximum reference signal received power (RSRP) scheme based on a tolerable gap, which is a parameter for determining the candidate base station; selecting one candidate base station from among the candidate base stations as a target base station based on the one connection scheme; and connecting to the target base station.

Abstract: An identification method and an unmanned aerial vehicle (UAV) detection apparatus are provided. The identification method, as a method for preventing a collision that may occur in a process of detecting and identifying a plurality of UAVs flying in the air, detects a plurality of UAVs in the air and determines a legitimacy of flight of each of the plurality of UAVs using an identification information request message.

Abstract: An encoding method obtains an intra prediction mode related to a current block from a bitstream; obtains prediction samples of the current block by performing intra prediction on the current block based on the intra prediction mode; scans transform coefficients of the current block, obtains dequantized transform coefficients of the current block by performing a dequantization on the transform coefficients; determines a transform type of the current block; and obtains residual samples of the current block by performing an inverse-transform on the dequantized transform coefficients based on the determined transform type, the inverse-transform being performed in a horizontal direction and a vertical direction. The transform type is determined to be a Discrete Cosine Transform or Discrete Sine Transform, the size of the current block is equal to or greater than 4×4, and the transform type is determined independently to a direction of the intra prediction mode of the current block.

Abstract: The present invention is about an image encoding/decoding method and apparatus. According to present invention, a method of decoding an image, the method comprising, deriving an initial motion vector of a current block; deriving a refined motion vector by using the initial motion vector; and generating a prediction block of the current block by using the refined motion vector.

Abstract: Collecting the topology and asset information of the virtual generated computer network, converting the topology and asset information into a training data set for training the neural network model, training the neural network model based on the training data set, and training A method and apparatus for predicting an attack vulnerability of a computer network through the step of inferring an attack vulnerability of a target computer network using a neural network model are provided.

Abstract: Disclosed herein a disaggregation computing system. The disaggregation computing system comprising: a local computing device that comprises a local processor, a local memory bus, a local memory and a local disaggregation controller; a remote computing device that comprises a remote processor, a remote memory bus, a remote memory and a remote disaggregation controller; and a disaggregation network that connects the local computing device and the remote computing device, wherein the local disaggregation controller and the remote disaggregation controller are configured to: check a response delay for access of the remote memory, and control the access of the remote memory based on the response delay.

Abstract: Provided is an apparatus and method for predicting the remaining lifetime of an environment data collection sensor in a livestock house. The method for predicting the remaining lifetime of an environment data collection sensor in a livestock house includes (a) collecting livestock house environment information, (b) detecting an error of a sensor from the collected livestock house environment information, (c) generating a dataset for learning, (d) generating a sensor lifetime prediction model to performing learning, and (e) predicting a lifetime of the sensor using a result of the learning.

Abstract: An adaptive multi-view streaming processing method and apparatus for a multi-view stream is disclosed. Specifically, disclosed herein is a method and apparatus for adaptively processing or transmitting adaptive streaming by reflecting network states and changes in transmission environments in a multi-view streaming service environment where several or more multiple videos are simultaneously transmitted at an arbitrary moment. An adaptive streaming processing method for a multi-view stream may comprise selecting and downloading an i-th segment of a main view stream with a first quality level, inferring a size of an i-th segment of downloadable neighboring view streams based on a download time and transfer rate of the i-th segment of the main view stream, and selecting a second quality level corresponding to the inferred size of the i-th segment of the neighboring view streams and downloading the i-th segment of the neighboring view streams based on the selected second quality level.

Abstract: Provided is a radio over fiber (RoF)-based distributed antenna system (DAS) structure that cost-effectively provides a fifth generation (5G) mobile communication service guaranteeing a quality of service (QoS) with high bandwidth and low latency characteristics without radio shadowing in an indoor environment.

Abstract: There is provided a system for intelligent industrial safety monitoring. The system includes a global monitoring unit configured to generate first monitoring information by globally monitoring a work area of an industrial site, a local monitoring unit attached to a work object at work within the work area and configured to generate second monitoring information by monitoring a surrounding area of the work object, a communication unit configured to transmit and receive data to and from the global monitoring unit and the local monitoring unit, and a first controller configured to generate information on a location of the work object based on the first monitoring information and track a moving path of the work object and at least one second controller configured to predict an at-risk object that has approached within a predetermined distance of the work object based on the second monitoring information.

Abstract: A non-uniform super-resolution method, device, and recording medium of an image of the present disclosure may include an image separation unit which separates an input image into a high-quality region and a low-quality region based on a quality map image, an image quality conversion unit which acquires a converted high-quality region by converting image quality of the high-quality region, and a first image combination unit which combines the converted high-quality region and the low-quality region to transmit them to a super-resolution network.