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: 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: 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 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: 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: 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: 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: 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: 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: 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: 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: 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: 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.

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: Provided are a method and apparatus for evaluating the control logic of an exoskeleton, wherein the method includes acquiring, by a human modeling module, characteristic data of a human model, acquiring, by a device modeling module, characteristic data of an exoskeleton, verifying, by a controllability determination module, a controllability that represents whether control is performable on a target body motion based on the characteristic data of the human model and the characteristic data of the exoskeleton, performing, by a simulation module, the target body motion based on a result verification of the controllability and acquiring simulation data generated during performance of the target body motion, and analyzing, by a performance evaluation module, the simulation data.

Abstract: Provided is a quantum imaging device. The device includes a first light source configured to generate first light, a first photon pair generation part configured to generate a first entangled photon pair using the first light, a first beam splitter configured to separate the first entangled photon pair into a first signal idler and a first signal line, a first detector configured to receive the first signal idler, a first mirror configured to provide the first signal line to a target, a second detector configured to receive the first signal line transmitted or reflected to the target, and a signal processor connected to the first and second detectors and configured to obtain a target image by comparing a measurement image with a reference image.

Abstract: Disclosed is a polarized light generating device based on an optical waveguide, which includes first to fourth input optical waveguides, respectively, for receiving input light from an outside, first to fifth optical splitters configured to receive at least one light and output the received at least one light as at least one light, and an optical converter configured to receive at least one light from the fifth optical splitter and convert the received light to generate polarized light. The polarized light generating device receives the input light through one of the first to fourth input optical waveguides, and generates a first polarized light, a second polarized light, a third polarized light, and a fourth polarized light. The first to fourth polarized lights belong to elements of two arbitrary two-dimensional mutually unbiased basis sets.

Abstract: Disclosed herein are an apparatus and method for transmitting a covert message in wireless communication. The apparatus for transmitting a covert message in wireless communication may be configured to, in a covert message in which a data frame is composed of a Start Frame Delimiter (SFD), a header, a payload, and a Cyclic Redundancy Check (CRC), transmit the SFD of the covert message corresponding to a first sequence number masked with a preset SFD mask length, transmit the header of the covert message corresponding to a second sequence number masked with a preset header mask length, transmit the payload of the covert message corresponding to a third sequence number masked with a preset payload mask length, and transmit the CRC of the covert message corresponding to a fourth sequence number masked with a preset CRC mask length.