Abstract: A strut connector may include a connector base, a cover band, a cover band fixer for fixing the cover band to the connector base, and a connection jack. The connector base may include a base body; a support band protruding from one surface of the base body; a base reinforcement boss protruding from the one surface of the base body to a smaller height than the support band; a base connection boss protruding in the opposite direction of the protruding direction of the support band; a base through-hole formed through the base body, the base reinforcement boss and the base connection boss; and a base screw portion formed on the inside of the base through-hole. The cover band may be separably coupled to the connector base.

Abstract: Provided is an operating method of an advertisement management device, the operating method including: based on log data of a plurality of users collected from a certain game, setting at least one group for the certain game; registering advertisement information to be provided to the at least one group; requesting a plurality of platform servers capable of providing advertisements to provide the advertisement information for each of the at least one group; obtaining, from the plurality of platform servers, feedback information of advertisements provided for each of the at least one group; and based on the feedback information, performing management of the advertisement information registered for each of the at least one group.

Abstract: A holographic aberration correction method and apparatus are provided. The holographic aberration correction apparatus includes: generating a plurality of sub-holograms in a hologram, as a matrix; calculating a plurality of eigenmodes and an eigenvalue and a weight corresponding to each of the eigenmodes by performing singular value decomposition on the matrix; selecting a predefined number of eigenmodes in the order of largest eigenvalues; calculating a plurality of first results which are obtained by multiplying a plurality of identical images by respective weights corresponding to the plurality of selected eigenmodes; calculating a plurality of second results by performing convolution of the plurality of first results and the plurality of selected eigenmodes, respectively; and generating an aberration-corrected hologram by adding the plurality of second results.

Abstract: A holographic display apparatus and a hologram optimization method for the apparatus are provided. The holographic display apparatus includes a focus-forming optical element configured to form a plurality of foci by receiving plane waves; a collimating lens configured to propagate, as plane waves, light incident through the plurality of foci; and a spatial light modulator configured to generate a holographic image by overlapping a plurality of plane waves incident from the collimating lens.

Abstract: Provided is a mobile manipulator for performing a target motion, which includes a base unit configured to perform a positional shift and having a rail in some section thereof, and an arm unit including multi-joints and configured to perform a positional shift on the rail in consideration of a center of gravity when performing a target motion. The arm unit performs the target motion through adaptive neural network-based compensation control.

Abstract: The present application relates to a use for cartilage regeneration and/or use for osteoarthritis treatment of a mesenchymal stem cell expressing TSG-6 protein. The present application provides a composition for cartilage regeneration and a pharmaceutical composition for osteoarthritis treatment, comprising a mesenchymal stem cell expressing TSG-6 protein as an active ingredient. The composition for cartilage regeneration and/or the pharmaceutical composition for osteoarthritis treatment provided by the present application can increase collagen expression of cartilage cells, reduce inflammation, and restore the cartilage structure.

Abstract: A re-identification apparatus acquires a first image in which a tracking target entering an intersection is captured, and identifies the tracking target and targets having a predetermined positional relationship with the tracking target in the first image. The re-identification apparatus selects a camera to be used for re-identification of the tracking target based on a signal system of the intersection, and acquires a second image captured by the selected camera and one or more third images before or after the second image. The re-identification apparatus determines a target identified in the second image and the third images among the targets when identifying an object corresponding to the tracking target in the second image, and determines whether the re-identification of the tracking target is successful based on the targets identified in the first image and the target identified in the second image and the third images.

Abstract: Disclosed herein are a method and apparatus for analyzing elements inducing motion sickness in VR content. The method includes acquiring objective data based on an experiment using the VR content for measuring VR motion sickness, the experiment being conducted according to a predetermined protocol; acquiring subjective data input from the multiple participants of the experiment; and constructing a database based on the objective data and the subjective data and analyzing the degree of motion sickness induced by each of the content elements of the VR content using statistical information based on the database.

Abstract: An apparatus for scheduling a data augmentation technique according to an embodiment includes a data set extractor, a first trainer, an operation extractor, a second trainer, and a schedule determinator. The apparatus may provide a schedule for a data augmentation technique capable of improving the performance of a neural network classification model in a shorter time compared to the related art.

Abstract: The present disclosure relates to a microcarrier that has excellent adhesion to cells and also is easily isolated from cells after culturing, a method for producing the same, and a cell culture method using the same.

Abstract: Provided is an operating method of an advertisement management device, the operating method including: based on log data of a plurality of users collected from a certain game, setting at least one group for the certain game; registering advertisement information to be provided to the at least one group; requesting a plurality of platform servers capable of providing advertisements to provide the advertisement information for each of the at least one group; obtaining, from the plurality of platform servers, feedback information of advertisements provided for each of the at least one group; and based on the feedback information, performing management of the advertisement information registered for each of the at least one group.

Abstract: Provided are a system and method for preprocessing sequential video images for fire detection based on deep learning and a method of training a deep learning network for fire detection. The system includes a selector configured to select a plurality of sequential images in streaming data as one set, a converter configured to convert color information of the plurality of selected sequential set images into spectral reflectance information using preset standard color space feature information, a filtering part configured to filter the plurality of sequential set images of which the color information is converted into the spectral reflectance information through a fire color filter, and a fire map generator configured to generate one fire map image by compressing the plurality of filtered sequential set images.

Abstract: Disclosed is an apparatus and method of monitoring a VR (Virtual Reality) sickness prediction model for virtual reality content. A method of monitoring a VR sickness prediction model according to the present disclosure includes: displaying the virtual reality content on a display unit; acquiring an user input; analyzing the virtual reality content on a basis of the acquired user input; and displaying an analysis result for the virtual reality content on the display unit.

Abstract: Disclosed is an apparatus and method of generating a VR sickness prediction model. A method of generating a VR sickness prediction model according to the present disclosure includes: displaying virtual reality content on a display unit; detecting first VR sickness information of a user who experiences the virtual reality content using a sensor; determining second VR sickness information using a user input that is input from the user in response to a request for inputting a degree of VR sickness for the virtual reality content; performing machine learning based on supervised learning using VR sickness-inducing factors for the virtual reality content, the first VR sickness information, and the second VR sickness information; and determining a correlation between the VR sickness-inducing factors and a list of VR sickness symptoms on a basis of the performed machine learning.

Abstract: Disclosed herein are a method and apparatus for analyzing elements inducing motion sickness in VR content. The method includes acquiring objective data based on an experiment using the VR content for measuring VR motion sickness, the experiment being conducted according to a predetermined protocol; acquiring subjective data input from the multiple participants of the experiment; and constructing a database based on the objective data and the subjective data and analyzing the degree of motion sickness induced by each of the content elements of the VR content using statistical information based on the database.

Abstract: Disclosed is an apparatus and method of monitoring a VR (Virtual Reality) sickness prediction model for virtual reality content. A method of monitoring a VR sickness prediction model according to the present disclosure includes: displaying the virtual reality content on a display unit; acquiring an user input; analyzing the virtual reality content on a basis of the acquired user input; and displaying an analysis result for the virtual reality content on the display unit.

Abstract: Disclosed is an apparatus and method of generating a VR sickness prediction model. A method of generating a VR sickness prediction model according to the present disclosure includes: displaying virtual reality content on a display unit; detecting first VR sickness information of a user who experiences the virtual reality content using a sensor; determining second VR sickness information using a user input that is input from the user in response to a request for inputting a degree of VR sickness for the virtual reality content; performing machine learning based on supervised learning using VR sickness-inducing factors for the virtual reality content, the first VR sickness information, and the second VR sickness information; and determining a correlation between the VR sickness-inducing factors and a list of VR sickness symptoms on a basis of the performed machine learning.

Abstract: Provided is a video analysis (VA) method comprises calculating, by a VA apparatus, a size of each of a plurality of frames by summing sizes of a plurality of packets constituting each of the plurality of frames, analyzing, by the VA apparatus, the size of each of the plurality of frames constituting a video to determine a pattern of the sizes of the plurality of frames and determining, by the VA apparatus, whether there is a motion in the video based on the size pattern.

Abstract: An apparatus for generating a depth map includes a communication interface configured to receive video; a processor configured to generate depth map of the video according to a predetermined instruction; and a memory configured to store the instruction, wherein the instruction comprises instructions configured to perform: receiving an input to set a start point and an end point; providing a reference figure corresponding to the start point and the end point; and generating a depth map corresponding to the reference figure.

Abstract: An apparatus for generating 3-dimensional (3D) volume mask model and a method therefor. The apparatus includes a 2D mask data collector, a 3D mask model generator, and a 3D mask model adjuster, whereby 2D mask data is generated from a 2D mask image designed by a user, a 2D mask mesh is created based on inner and outer contour feature points, a 2D mask is transformed into a 3D model according to the user's settings, and the generated 3D mask model is modified to fit on a facial shape of a person who will wear the mask, and a 3D mask volume model is generated, which is immediately printed by a 3D printer to produce a 3D mask.