Abstract: An embodiment solid electrolyte includes a first compound and a second compound. The first compound is represented by a first chemical formula Li7-aPS6-a(X11-bX2b)a, wherein X1 and X2 are the same or different and each represents F, Cl, Br, or I, and wherein 0<a?2 and 0<b<1, and the second compound is represented by a second chemical formula Li7-cP1-2dMdS6-c-3d(X11-eX2e)c, wherein X1 and X2 are the same or different and each represents F, Cl, Br, or I, wherein M represents Ge, Si, Sn, or any combination thereof, and wherein 0<c?2, 0<d<0.5, and 0<e<1.

Abstract: A method for generating a mask pattern to be employed in a patterning process. The method including obtaining (i) a first feature patch including a first polygon portion of an initial mask pattern, and (ii) a second feature patch including a second polygon portion of the initial mask pattern; adjusting the second polygon portion at a patch boundary between the first feature patch and the second feature patch such that a difference between the first polygon portion and the second polygon portion at the patch boundary is reduced; and combining the first polygon portion and the adjusted second polygon portion at the patch boundary to form the mask pattern.

Abstract: A method for generating a mask pattern to be employed in a patterning process. The method including obtaining (i) a first feature patch including a first polygon portion of an initial mask pattern, and (ii) a second feature patch including a second polygon portion of the initial mask pattern; adjusting the second polygon portion at a patch boundary between the first feature patch and the second feature patch such that a difference between the first polygon portion and the second polygon portion at the patch boundary is reduced; and combining the first polygon portion and the adjusted second polygon portion at the patch boundary to form the mask pattern.

Abstract: Disclosed herein is an image deep learning model training method. The method includes sampling a twin negative comprising a first negative sample and a second negative sample by selecting the first negative sample with a highest similarity out of an anchor sample and a positive sample constituting a matching pair in each class and by selecting the second negative sample with a highest similarity to the first negative sample, and training the samples to minimize a loss of a loss function in each class by utilizing the anchor sample, the positive sample, the first and second negative samples for each class. The first negative sample is selected in a different class from a class comprising the matching pair, and the second negative sample is selected in a different class from classes comprising the matching pair and the first negative sample.

Abstract: Disclosed herein are an apparatus and method for detecting a keypoint based on deep learning robust to scale changes based on information change across receptive fields. The apparatus for detecting a keypoint based on deep learning robust to scale changes based on information change across receptive fields includes a feature extractor for extracting a feature from an input image based on a pre-trained deep learning neural network, an information accumulation pyramid module for outputting, from the feature, at least two filter responses corresponding to receptive fields having different scales, an information change detection module for calculating an information change between the at least two filter responses, a keypoint detection module for creating a score map having a keypoint probability of each pixel based on the information change, and a continuous scale estimation module for estimating a scale of a receptive field having a biggest information change for each pixel.

Abstract: A method for generating a mask pattern to be employed in a patterning process. The method including obtaining (i) a first feature patch including a first polygon portion of an initial mask pattern, and (ii) a second feature patch including a second polygon portion of the initial mask pattern; adjusting the second polygon portion at a patch boundary between the first feature patch and the second feature patch such that a difference between the first polygon portion and the second polygon portion at the patch boundary is reduced; and combining the first polygon portion and the adjusted second polygon portion at the patch boundary to form the mask pattern.

Abstract: Disclosed are an electromagnetic-wave transmitting cover that transmits electromagnetic waves transmitted/received by an LF antenna and an RF antenna and an electric field generated from a capacitance touch sensor while realizing a metallic texture, and a door outer handle including the same. The electromagnetic-wave transmitting cover includes: a substrate; a primer layer formed on a surface of the substrate; and a first metal layer formed by depositing and having a plurality of first microcracks penetrating in a thickness direction.

Abstract: The present invention provides a method for image preprocessing, the method including: identifying a plurality of input images to process image registration; selecting at least one transformation method among histogram equalization and gamma transformation in consideration of hue and brightness values of the plurality of input images; processing the histogram equalization on the plurality of input images in response to the histogram equalization method being selected; and processing the gamma transformation on the plurality of input images, in response to the gamma transformation method being selected.

Abstract: Disclosed are an electromagnetic-wave transmitting cover that transmits electromagnetic waves transmitted/received by an LF antenna and an RF antenna and an electric field generated from a capacitance touch sensor while realizing a metallic texture, and a door outer handle including the same. The electromagnetic-wave transmitting cover includes: a substrate; a primer layer formed on a surface of the substrate; and a first metal layer formed by depositing and having a plurality of first microcracks penetrating in a thickness direction.

Abstract: The present invention relates to an apparatus and a method of stitching a real-time image. More specifically, stitching-related information is generated, a parallax occurrence region in an overlap region is tracked, and correction for reducing parallax occurring in the parallax occurrence region and correction of an image distortion occurring in a non-overlap region are performed for output.

Abstract: Disclosed is an apparatus and method of generating a stitched image. A method of generating a stitched image according to the present disclosure includes: obtaining a plurality of input images; determining whether or not a parallax problem occurs between overlapping areas of the obtained input images; updating a predetermined look-up table according to the determination; and generating a stitched image by applying the updated look-up table to the input images.

Abstract: The present invention provides a method for image preprocessing, the method including: identifying a plurality of input images to process image registration; selecting at least one transformation method among histogram equalization and gamma transformation in consideration of hue and brightness values of the plurality of input images; processing the histogram equalization on the plurality of input images in response to the histogram equalization method being selected; and processing the gamma transformation on the plurality of input images, in response to the gamma transformation method being selected.

Abstract: Disclosed herein is an image deep learning model training method. The method includes sampling a twin negative comprising a first negative sample and a second negative sample by selecting the first negative sample with a highest similarity out of an anchor sample and a positive sample constituting a matching pair in each class and by selecting the second negative sample with a highest similarity to the first negative sample, and training the samples to minimize a loss of a loss function in each class by utilizing the anchor sample, the positive sample, the first and second negative samples for each class. The first negative sample is selected in a different class from a class comprising the matching pair, and the second negative sample is selected in a different class from classes comprising the matching pair and the first negative sample.

Abstract: A method of receiving content in a client is provided. The method may include receiving, from a server, a spatial set identifier (ID) corresponding to a tile group including at least one tile, sending, to the server, a request for first content corresponding to metadata, and receiving, from the server, the first content corresponding to the request.

Abstract: Disclosed is an apparatus and method for processing information of multiple cameras.

Abstract: The present invention relates to an apparatus and a method of stitching a real-time image. More specifically, stitching-related information is generated, a parallax occurrence region in an overlap region is tracked, and correction for reducing parallax occurring in the parallax occurrence region and correction of an image distortion occurring in a non-overlap region are performed for output.

Abstract: Rate adaptation is carried out using bit error rate (BER) to enable effective multimedia transmission. The BER can be estimated using signal strength in a MAC layer and modulation information (FIGS. 7-9), and can be compatibly used in different wireless networks by means of message standardization.

Abstract: Provided is a parallax minimization stitching method and apparatus using control points in an overlapping region. A parallax minimization stitching method may include defining a plurality of control points in an overlapping region of a first image and a second image received from a plurality of cameras, performing a first geometric correction by applying a homography to the control points, defining a plurality of patches based on the control points, and performing a second geometric correction by mapping the patches.

Abstract: Disclosed is an apparatus and method of generating a stitched image. A method of generating a stitched image according to the present disclosure includes: obtaining a plurality of input images; determining whether or not a parallax problem occurs between overlapping areas of the obtained input images; updating a predetermined look-up table according to the determination; and generating a stitched image by applying the updated look-up table to the input images.

Abstract: Rate adaptation is carried out using bit error rate (BER) to enable effective multimedia transmission. The BER can be estimated using signal strength in a MAC layer and modulation information (FIGS. 7-9), and can be compatibly used in different wireless networks by means of message standardization.