Abstract: The present disclosure relates to a polycarbonate resin composition having excellent light-reflecting and light-shielding properties, and an automotive molded article produced using the same. The polycarbonate resin composition includes: 60 to 70 wt % of a polycarbonate resin; 4 to 10 wt % of a rubber-modified vinyl-based graft copolymer; 3 to 11 wt % of a styrene-based copolymer; 15 to 25 wt % of titanium dioxide; and 2 to 3 wt % of a mineral filler.

Abstract: The disclosed technology relates to a system for providing virtual exercise place, which displays a user-selected virtual exercise place, and shares the display of the selected virtual exercise place with other users in real time or at a different time in order to exercise together. The system comprises an image information database in which location-based image data related to a virtual exercise place is stored; and an image data controller which selects from the image information database the location-based image data related to the virtual exercise place received from a terminal, transmits them to the terminal, displays on the terminal the exercise place image data corresponding to an exercise start location received from the terminal, receives an exercise distance information calculated by fitness equipment, and displays on the terminal the exercise place image data corresponding to a location moved by the exercise distance from the exercise start location.

Abstract: A mobile device is provided. The mobile device includes a display unit, a sensor configured to sense user's touch done on a surface of the display unit in a disabled state of the display unit, a storage unit configured to store preset gesture information, a controller configured to enable the display unit when a user's touch operation matched with the gesture information is sensed, execute a wallet application, and display an execution screen, and a communication unit configured to transmit information for a selected payment option to an external apparatus when the payment option is selected on the execution screen and perform a payment. The payment is simply done.

Abstract: The present invention relates to an automatic prediction system for a server failure, which monitors the status of a single server connected to a network and providing web, DB and network services, and predicts and warns a server failure of a target system by using the collected status data of the single server. The automatic prediction system for a server failure comprises: a data collection module to collect status information of a server and service of a target system; a model generation and optimization module to generate a CNN-based failure prediction model by using the collected data and to optimize model parameters and hyper-parameter values; and a prediction module to perform online failure prediction by using the optimized CNN-based failure prediction model.

Abstract: Methods of fabricating semiconductor devices are provided. A method of fabricating a semiconductor device includes selecting a target pattern from a target design layout. The target pattern includes: a target net; a target via that is electrically connected to the target net; and a crossing net that is electrically connected to the target via on a different level from the target net. The method includes analyzing a peripheral pattern that is adjacent the target net. Moreover, the method includes generating a redundant net, and a redundant via that electrically connects the redundant net and the crossing net. Related layout design systems are also provided.

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 mobile device is provided. The mobile device includes a display unit, a sensor configured to sense user's touch done on a surface of the display unit in a disabled state of the display unit, a storage unit configured to store preset gesture information, a controller configured to enable the display unit when a user's touch operation matched with the gesture information is sensed, execute a wallet application, and display an execution screen, and a communication unit configured to transmit information for a selected payment option to an external apparatus when the payment option is selected on the execution screen and perform a payment. The payment is simply done.

Abstract: Provided are an apparatus, system, and method for vehicle collision avoidance control. When a velocity of a vehicle is determined to be a control-involved velocity or higher, blinking of hazard lights of a preceding vehicle in front of the vehicle is recognized, and one or more of driver warning and deceleration control are performed on the basis of recognition of blinking of the hazard light of the preceding vehicle. Therefore, it is possible to recognize a probability of vehicle collision and avoid vehicle collision.

Abstract: A method for synthesizing high purity montmorillonite is disclosed. According to this synthesis method, bentonite is dissolved in aqua regia to produce a solution and then sodium hydroxide (NaOH) is added to the solution to produce a mixed solution. Then, the mixed solution is kept in a sealed state at a temperature of 90° C. inclusive to 100° C. exclusive to synthesize montmorillonite crystals.

Abstract: Provided is a method of reconstructing a three-dimensional (3D) model of an object. The method includes sequentially performing, by a camera module, first and second object scanning processes of scanning the same object, reconstructing, by a processor module, a 3D object model, based on a first object image obtained through the first object scanning process, performing pose learning on an object to generate learning data, based on data obtained through a process of reconstructing the 3D object model based on the first object image, and reconstructing, by the processor module, a final 3D object model, based on a second object image obtained through the second object scanning process and the learning data.

Abstract: Provided are an apparatus, system, and method for vehicle collision avoidance control. When a velocity of a vehicle is determined to be a control-involved velocity or higher, blinking of hazard lights of a preceding vehicle in front of the vehicle is recognized, and one or more of driver warning and deceleration control are performed on the basis of recognition of blinking of the hazard light of the preceding vehicle. Therefore, it is possible to recognize a probability of vehicle collision and avoid vehicle collision.

Abstract: Methods of fabricating semiconductor devices are provided. A method of fabricating a semiconductor device includes selecting a target pattern from a target design layout. The target pattern includes: a target net; a target via that is electrically connected to the target net; and a crossing net that is electrically connected to the target via on a different level from the target net. The method includes analyzing a peripheral pattern that is adjacent the target net. Moreover, the method includes generating a redundant net, and a redundant via that electrically connects the redundant net and the crossing net. Related layout design systems are also provided.

Abstract: Disclosed herein are an apparatus and method for generating a 3D avatar. The method, performed by the apparatus, includes performing a 3D scan of the body of a user using an image sensor and generating a 3D scan model using the result of the 3D scan of the body of the user, matching the 3D scan model and a previously stored template avatar, and generating a 3D avatar based on the result of matching the 3D scan model and the template avatar.

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: According to an embodiment, a wearable strap device comprises a glove worn on a user's hand and a conductive pad detachably coupled to the glove. A medium/low frequency current generator may be electrically connected with the conductive pad and configured to output a first medium/low frequency current to the conductive pad according to a signal input by the user to contract a wrist muscle for a preset time.

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 disclosure provides a method and apparatus for reconstructing 3D information of an object. The method of reconstructing 3D information of an object may include: reconstructing 3D information of a background space, using at least one of images of the background space for three-dimensionally reconstructing the object; separating the object from the background space on the basis of at least one of images of the object in the background space, and of obtaining a depth image of the object separated from the background space; and generating 3D information of the object based on images taken by at least one of cameras in consideration of position relationships between the depth image of the object and the cameras.

Abstract: The present invention relates to an automatic prediction system for a server failure, which monitors the status of a single server connected to a network and providing web, DB and network services, and predicts and warns a server failure of a target system by using the collected status data of the single server. The automatic prediction system for a server failure comprises: a data collection module to collect status information of a server and service of a target system; a model generation and optimization module to generate a CNN-based failure prediction model by using the collected data and to optimize model parameters and hyper-parameter values; and a prediction module to perform online failure prediction by using the optimized CNN-based failure prediction model.

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 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.