Abstract: The present invention relates to a substrate bonding apparatus including: a chamber; a first chuck disposed inside the chamber to adhere a first substrate; a second chuck disposed facingly inside the chamber toward the first chuck to adhere a second substrate; and a camera located above or under the first chuck and the second chuck to recognize first alignment key disposed on the first substrate and second alignment key disposed on the second substrate.

Abstract: The present invention relates to a pharmaceutical composition for prevention, alleviation, and treatment of inflammatory bowel disease, the composition comprising a complex of a compound of Chemical Formula 1 or a pharmaceutically acceptable salt thereof and a clay mineral; a method for prevention, alleviation, and treatment of inflammatory bowel disease by using same; and a preparation method of the pharmaceutical composition.

Abstract: The present invention relates to a composition for oral administration with controlled release properties, comprising a complex of a compound of Chemical Formula 1 or a pharmaceutically acceptable salt thereof; and a clay mineral, and a method for preparing same.

Abstract: A mobile device and a method are provided. A mobile device includes a display, a sensor configured to sense a user operation with respect to the display, a fingerprint sensor configured to sense a fingerprint of the user that input the user operation, a storage configured to store preregistered fingerprint information, and a controller configured to perform an operation corresponding to the user operation when the fingerprint sensed by the fingerprint sensor matches the stored fingerprint information and perform a fingerprint registration operation when the fingerprint sensed by the fingerprint sensor does not match the stored fingerprint information.

Abstract: A composition for dyeing a bentonite, which includes a plant-derived polyphenol, and a method for dyeing a bentonite using the composition are provided. A composition for dyeing a bentonite, which includes a polyphenol such as lignin, pectin, tannin, and catechin, as a plant-derived material, and a method for dyeing a bentonite using the composition are provided.

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: 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: 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 system for providing a user-selectable virtual exercise place. The user exercises while sharing the display of a selected virtual exercise place with another user. The system has an image information database which stores location-based image data related to a virtual exercise place; and an image data controller which selects from the image information database the location-based image data related to the virtual exercise place (hereinafter referred to as “exercise place image data”) received from a first terminal, transmits the selected exercise place image data to the first terminal, displays on the first terminal the exercise place image data corresponding to an exercise start location received from the first terminal, receives movement distance information calculated by a first fitness equipment and displays on the first terminal the exercise place image data corresponding to the location moved by the exercise distance from the exercise start location.

Abstract: A device searching system and method for data transmission are provided. A method of searching for another device in a first device for data transmission includes outputting a widget window for a device search, receiving an address book stored in a second device connected to the first device, and if the widget window is selected, searching for a device included in the received address book, wherein the searching of the device includes searching for at least one of devices included in the received address book based on a keyword input through the widget window.

Abstract: A virtual exercise place selected by a user is displayed and the user can exercise while sharing the display of the selected virtual exercise place with another user in real time or at a different time. The system has an image information database in which location-based image data related to a virtual exercise place is stored; and an image data controller selecting from the image information database location-based image data related to a virtual exercise place received from the terminal and providing the selected location-based image data to the terminal, displaying on the terminal an exercise place image data corresponding to an exercise start location received from the terminal, receiving exercise distance information calculated by the fitness equipment, and displaying on the terminal an exercise place image data corresponding to a location moved by the exercise distance from the exercise start location.

Abstract: There is provided a method for enhancing immune function of an immune cell, and an immune cell line produced using the method. A method for enhancing immune function of an immune cell according to an exemplary embodiment of the present invention includes: treating immune cells with a PI3K inhibitor to activate AKT/mTOR downstream signal ex vivo; and culturing the immune cells treated with the PI3K inhibitor such that a lowered AKT level rebounds.

Abstract: A system and method of sharing content by using a plurality of storages is provided. A mobile communication terminal includes a storage information collecting unit collecting a plurality of pieces of storage information about the plurality of storages connected to the mobile communication terminal, a User Interface (UI) generating unit dividing the plurality of storages according to attributes that are previously configured, based on the plurality of pieces of storage information, and generating a storage share setting screen with respect to the plurality of storages, a display unit displaying the storage share setting screen, and a storage setting unit activating sharing of content stored in the plurality of storages, for each of the plurality of storages.

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: The present invention relates to palatinose syrup comprising palatinose, glucose, fructose and trehalulose, the palatinose syrup comprising 19˜22 wt % of palatinose with respect to the total amount of solids. Further, the present invention relates to a medicine or food product comprising the palatinose syrup.

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 application relates to an orally administered pharmaceutical composition or kit for eradicating Helicobacter pylori, including a complex of a non-absorbable antibiotic and a clay mineral. The pharmaceutical composition and kit of the present invention may further include a ?-lactam antibiotic and/or a gastric acid inhibitor.

Abstract: A device searching system and method for data transmission are provided. A method of searching for another device in a first device for data transmission includes outputting a widget window for a device search, receiving an address book stored in a second device connected to the first device, and if the widget window is selected, searching for a device included in the received address book, wherein the searching of the device includes searching for at least one of devices included in the received address book based on a keyword input through the widget window.

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.