Abstract: An encoding/decoding device according to the present invention derives the residual coefficient of a residual block, calculates a quantization parameter with respect to the residual block, performs inverse quantization for the residual coefficient by means of the quantization parameter, and can restore a residual sample of the residual block by performing inverse transformation for the inverse quantized residual coefficient.

Abstract: Provided is an image encoding or decoding method and device capable of increasing image compression efficiency by determining a differential quantization parameter of a current block based on statistical information of original samples of the current block or samples reconstructed previously to the current block. The image decoding method includes receiving a bitstream, obtaining a predicted quantization parameter value and a quantized transformation coefficient of a current block from the bitstream, obtaining a differential quantization parameter of the current block based on statistical information of samples reconstructed previously to the current block, obtaining a quantization parameter of the current block based on the differential quantization parameter of the current block and the predicted quantization parameter value, and inversely quantizing the quantized transformation coefficient of the current block based on the quantization parameter of the current block.

Abstract: The present invention relates to a novel thieno[3,2-b]pyridine-5(4H)-one derivative compound, a preparation method thereof, and a use thereof. The novel thieno[3,2-b]pyridine-5(4H)-one derivative compound according to the present invention is synthesized via an aza-[3+3] cyclization addition reaction using BOP, wherein the compound is obtained by synthesizing a 4-arylthiophen-3-amine in which aryl groups such as 4-piperidyl-C6H4, 4-pyrrolidyl-C6H4, 4-MeOC6H4, 3,4,5-(MeO)3C6H4, C6H5, 4-C6H5C6H4, and 4-F3COC6H4 are introduced via a synthesis process by a bromination reaction, a hydrolysis reaction, a decarboxylation reaction, and a Suzuki coupling reaction of methyl 3-aminothiophene carboxylate, and by synthesizing 4-arylthiophen-3-amine and mono-methyl fumarate via a formal aza-[3+3] cyclization addition reaction using BOP and conjugation.

Abstract: Provided is a prediction image generating technology using a deep neural network (DNN). Provided is an image decoding method including: receiving a bitstream of an encoded image; determining at least one block split from the encoded image; determining neighboring blocks for predicting a current block among the at least one block; generating prediction data of the current block by applying the neighboring blocks to a DNN learning model configured to predict a block of an image by using at least one computer; extracting residual data of the current block from the bitstream; and reconstructing the current block by using the prediction data and the residual data.

Abstract: Provided are an image compressing method including determining a compressed image by performing downsampling using a deep neural network (DNN) on an image; determining a prediction signal by performing prediction based on the compressed image; determining a residual signal based on the compressed image and the prediction signal; and generating a bitstream comprising information about the residual signal, wherein the DNN has a network structure that is predetermined according to training of a downsampling process using information generated in an upsampling process, and an image compressing device for performing the image compressing method. Also, provided are an image reconstructing method of reconstructing a compressed image by using a DNN for upsampling, the compressed image having been compressed by the image compressing method, and an image reconstructing device for performing the image reconstructing method.

Abstract: A Schottky barrier diode includes: an n? type layer disposed on a first surface of an n+ type silicon carbide substrate; a p+ type region and a p type region disposed on the n? type layer and separated from each other; an anode disposed on the n? type layer, the p+ type region, and the p type region; and a cathode disposed on a second surface of the n+ type silicon carbide substrate. The p type region is in plural, has a hexagonal shape on the plane, and is arranged in a matrix shape, and the n? type layer disposed between the p+ type region and the p type region has a hexagonal shape on the plane and encloses the p type region.

Abstract: Provided are an image compressing method including determining a compressed image by performing downsampling using a deep neural network (DNN) on an image; determining a prediction signal by performing prediction based on the compressed image; determining a residual signal based on the compressed image and the prediction signal; and generating a bitstream comprising information about the residual signal, wherein the DNN has a network structure that is predetermined according to training of a downsampling process using information generated in an upsampling process, and an image compressing device for performing the image compressing method. Also, provided are an image reconstructing method of reconstructing a compressed image by using a DNN for upsampling, the compressed image having been compressed by the image compressing method, and an image reconstructing device for performing the image reconstructing method.

Abstract: Provided are an image compressing method including determining a compressed image by performing downsampling using a deep neural network (DNN) on an image; determining a prediction signal by performing prediction based on the compressed image; determining a residual signal based on the compressed image and the prediction signal; and generating a bitstream comprising information about the residual signal, wherein the DNN has a network structure that is predetermined according to training of a downsampling process using information generated in an upsampling process, and an image compressing device for performing the image compressing method. Also, provided are an image reconstructing method of reconstructing a compressed image by using a DNN for upsampling, the compressed image having been compressed by the image compressing method, and an image reconstructing device for performing the image reconstructing method.

Abstract: Provided is a method of encoding an image, the method including: determining a subjective quality of the image when the image is compressed; determining at least one degree of compression that changes the subjective quality and is from among degrees of compression indicating how much the image is compressed; and encoding the image by compressing a residual signal of the image, based on compression information according to the determined degree of compression, wherein the subjective quality is determined for each frame by using a Deep Neural Network (DNN). Provided are an image decoding method and an image decoding apparatus for performing the image decoding method for decoding an image by using information encoded according to an image encoding method.

Abstract: Provided is in-loop filtering technology using a trained deep neural network (DNN) filter model. An image decoding method according to an embodiment includes receiving a bitstream of an encoded image, generating reconstructed data by reconstructing the encoded image, obtaining information about a content type of the encoded image from the bitstream, determining a deep neural network (DNN) filter model trained to perform in-loop filtering by using at least one computer, based on the information about the content type, and performing the in-loop filtering by applying the reconstructed data to the determined DNN filter model.

Abstract: A method of determining whether an image is to be re-encoded includes obtaining a first quantization matrix from an image file including the image, the image being encoded by quantization based on the first quantization matrix including a plurality of first quantization parameters; obtaining a second quantization matrix from a re-encoding device, the second quantization matrix including a plurality of second quantization parameters and having the same size as the first quantization matrix; determining a comparison coefficient based on elements greater than ‘0’ among elements of a comparison matrix obtained by subtracting the first quantization matrix from the second quantization matrix; and determining that the image is to be decoded by inverse quantization based on the first quantization matrix and the decoded image is to be re-encoded by quantization based on the second quantization matrix, when the comparison coefficient is greater than a first threshold value.

Abstract: Provided is a composition for promoting hair growth, containing, as an active ingredient, a new compound represented by the following formula 1 or a salt thereof, which exhibits an excellent effect of promoting the growth of dermal papilla cells to thereby exhibit the effect of promoting hair growth: wherein R is any one selected from the group consisting of 4-pentenoyl, 10-undecenoyl, isobutyl formate, and 2,4-dihydroxybenzoyl.

Abstract: Provided is a composition for promoting hair growth, containing, as an active ingredient, a new compound represented by the following formula 1 or a salt thereof, which exhibits an excellent effect of promoting the growth of dermal papilla cells to thereby exhibit the effect of promoting hair growth: Formula 1 wherein R is any one selected from the group consisting of 4-pentenoyl, 10-undecenoyl, isobutyl formate, and 2,4-dihydroxybenzoyl.

Abstract: A semiconductor device is provided. The device includes an n? type layer with a trench disposed in a first surface of an n+ type silicon carbide substrate. An n+ type region and a first p type region are disposed at the n? type layer and at a lateral surface of the trench. A plurality of second p type regions are disposed at the n? type layer and spaced apart from the first p type region. A gate electrode includes a first and a plurality of second gate electrodes disposed at the trench and extending from the first gate electrode, respectively. A source electrode is disposed on and insulated from the gate electrode. A drain electrode is disposed on a second surface of the n+ type silicon carbide substrate. The source electrode contacts the plurality of second p type regions spaced apart with the n? type layer disposed therein.

Abstract: Provided is a composition for promoting hair growth, containing, as an active ingredient, a new compound represented by the following formula 1 or a salt thereof, which exhibits an excellent effect of promoting the growth of dermal papilla cells to thereby exhibit the effect of promoting hair growth: wherein R is any one selected from the group consisting of 2-methylbutyryl, 3-methylbutyryl, cinnamoyl, 4-pentenoyl, 10-undecenoyl, isobutyl formate, 2,4-dihydroxybenzoyl, geranyl, farnesyl, acryloyl, propanone, 2-pentanone, 1-(4-hydroxyphenyl)ethanone, 1-(2,4-dihydroxyphenyl)ethanone, pentanoic acid, 2-hydroxypropanoic acid, 2-phenylacetic acid, 2-(4-(propanoyl)phenyl)acetic acid, 4-methylbenzoic acid, 4-(4-phenyl)-4-oxobutanoic acid, 2-oxoethyl acetyl, 2-phenoxyacetyl, 2-(benzyloxy)acetyl, 4-methoxybenzoyl, 3,5-dimethylphenol, 6-methoxybenzene-1,4-diol, propenylbenzene, and 4-hydroxycoumarin.

Abstract: A method for bonding with a silver paste includes coating a semiconductor device or a substrate with the silver paste. The silver paste contains a plurality of silver particles and a plurality of bismuth particles. The method further includes disposing the semiconductor on the substrate and forming a bonding layer by heating the silver paste, wherein the semiconductor and the substrate are bonded to each other by the bonding layer.

Abstract: A vehicle with independently driven multiple axles and a controller which independently drives the multiple axles are disclosed. The controller includes a first controller which determines a target control value including at least one of a mechanical steering angle of each of a plurality of wheels of a vehicle, a target yaw moment of the vehicle, a target longitudinal force of the vehicle, and a target wheel speed of each of the plurality of wheels; and a second controller which determines wheel torques of the plurality of wheels, which drive the plurality of wheels independently, based on the target control value, wherein the wheel torques of the plurality of wheels are different from one another.

Abstract: The present inventive concept relates to a semiconductor device, and more particularly to a semiconductor device that can increase the amount of current by reducing impedance, and a method of manufacturing the semiconductor device.

Abstract: A Schottky barrier diode according to an exemplary embodiment of the present disclosure includes: an n? type layer disposed on a first surface of an n+ type silicon carbide substrate; a p+ type region and a p type region disposed on the n? type layer and separated from each other; an anode disposed on the n? type layer, the p+ type region, and the p type region; and a cathode disposed on a second surface of the n+ type silicon carbide substrate, wherein the p type region is in plural, has a hexagonal shape on the plane, and is arranged in a matrix shape, and the n? type layer disposed between the p+ type region and the p type region has a hexagonal shape on the plane and encloses the p type region.

Abstract: Provided is a method of determining whether an image is to be re-encoded, the method including obtaining a first quantization matrix from an image file including the image, the image being encoded by quantization based on the first quantization matrix including a plurality of first quantization parameters; obtaining a second quantization matrix from a re-encoding device, the second quantization matrix including a plurality of second quantization parameters and having the same size as the first quantization matrix; determining a comparison coefficient based on elements greater than ‘0’ among elements of a comparison matrix obtained by subtracting the first quantization matrix from the second quantization matrix; and determining that the image is to be decoded by inverse quantization based on the first quantization matrix and the decoded image is to be re-encoded by quantization based on the second quantization matrix, when the comparison coefficient is greater than a first threshold value.