Abstract: Disclosed herein is an image sensing apparatus including a driver disposed on a substrate and configured to drive a light emitter and a light receiver to emit a first optical signal toward an object and receive a second optical signal reflected from the object, a housing coupled to the substrate and surrounding the light emitter, the light receiver, and the driver, a diffuser disposed on the housing, and a transparent electrode disposed on the diffuser, wherein the driver includes a transparent electrode driver configured to detect whether the diffuser is damaged in a first mode and shields electromagnetic interference noise in a second mode by using the transparent electrode.

Abstract: The present disclosure in some embodiments provides a system for and a method of providing a live video in real-time by transmitting the live video and patches which are a fraction of a frame of the live video by allocating and using bandwidth for transmitting the live video and bandwidth for transmitting the patches, respectively, and by subjecting, based on the patches, a deep neural network-based super-resolution model to online learning and thereby super-resolution processing the live video into a super-resolution live video.

Abstract: The present disclosure in some embodiments provides a system for and a method of providing a live video in real-time by transmitting the live video and patches which are a fraction of a frame of the live video by allocating and using bandwidth for transmitting the live video and bandwidth for transmitting the patches, respectively, and by subjecting, based on the patches, a deep neural network-based super-resolution model to online learning and thereby super-resolution processing the live video into a super-resolution live video.

Abstract: The present disclosure seeks to perform real-time video streaming on a mobile device toward maintaining user QoE even under bandwidth constraints while being acceptable to the lightweight computing capacity of the mobile device. To this end, the embodiments apply deep neural network-based SR to a small number of pre-selected video frames and utilize the video frames to which SR is applied to enhance the resolution of the remaining frames, wherein the pre-selected frames are chosen for SR within a preset quality margin. Additionally, the present disclosure provides an apparatus and a method for SR acceleration for real-time video streaming under the lightweight computing capacity and video-specific constraints of a mobile device, which allow a server to deliver multiple options on a deep neural network and a cache profile including SR application information and enable the mobile device to select an option suitable for its computing capacity.

Abstract: The present disclosure seeks to perform real-time video streaming on a mobile device toward maintaining user QoE even under bandwidth constraints while being acceptable to the lightweight computing capacity of the mobile device. To this end, the embodiments apply deep neural network-based SR to a small number of pre-selected video frames and utilize the video frames to which SR is applied to enhance the resolution of the remaining frames, wherein the pre-selected frames are chosen for SR within a preset quality margin. Additionally, the present disclosure provides an apparatus and a method for SR acceleration for real-time video streaming under the lightweight computing capacity and video-specific constraints of a mobile device, which allow a server to deliver multiple options on a deep neural network and a cache profile including SR application information and enable the mobile device to select an option suitable for its computing capacity.

Abstract: A laser processing method includes irradiating a laser light into a substrate along a cutting line to form a laser-scribed layer within the substrate, irradiating an X-ray onto a first surface of the substrate along the cutting line, obtaining an image of a diffracted X-ray from the substrate, and determining whether or not the laser-scribed layer is formed along the cutting line, based on analysis of the obtained image of the diffracted X-ray.

Abstract: The present disclosure relates to apparatus and method for training a learning system to detect event. The present disclosure provides apparatus and method for training a learning system that includes an event related keyword collecting unit that collects an event related keyword inputted by a user, a related keyword collecting unit that collects at least one related keyword from a word database by transmitting an event related keyword to the word database, an event related image collecting unit that collects at least one event related image that is related to a search formula from an image database by transmitting the search formula to the image database, and a training unit that trains a learning system by communicating with the learning system with a use of an event related image as training data.

Abstract: A method for managing multimedia data by a contents server comprises the steps of: generating one or more chunks from an input image; generating chunk information of the input image including a list of the generated chunks; performing an identity check among chunks on the basis of the chunk information of the input image and chunk information stored in the contents server; and updating the stored chunk information according to a result of the identity check, wherein the chunks are a meaningful scene unit in an image.

Abstract: A laser processing method includes irradiating a laser light into a substrate along a cutting line to form a laser-scribed layer within the substrate, irradiating an X-ray onto a first surface of the substrate along the cutting line, obtaining an image of a diffracted X-ray from the substrate, and determining whether or not the laser-scribed layer is formed along the cutting line, based on analysis of the obtained image of the diffracted X-ray.

Abstract: The present disclosure provides a method and a server apparatus for delivering content based on content-aware using a neural network. A server apparatus for content delivery is provided, including a content clustering unit for clustering multiple contents provided from a content provider based on a similarity; a training unit for training a cluster-wise content reconstruction model by using contents contained in each cluster in accordance with a result of clustering performed by the content clustering unit; a storage unit for storing the multiple contents and the cluster-wise content reconstruction model; and a transmission unit for transmitting content requested by a user and a content reconstruction model corresponding to a cluster containing the content requested to a user terminal.

Abstract: A laser processing method includes irradiating a laser light into a substrate along a cutting line to form a laser-scribed layer within the substrate, irradiating an X-ray onto a first surface of the substrate along the cutting line, obtaining an image of a diffracted X-ray from the substrate, and determining whether or not the laser-scribed layer is formed along the cutting line, based on analysis of the obtained image of the diffracted X-ray.

Abstract: A multi-pattern matching algorithm may be provided that includes: a moving step of moving a moving window from the start of a string one byte by one byte; a DF1 checking step of converting the string on a current position of the moving window into an integer value, and of checking whether or not a bit of a related position in a first direct filter DF1 for patterns having lengths larger than 2 bytes is set to 1; a DF moving step of checking one or more direct filters DF when the bit is set to 1 according to the DF1 checking step; a re-moving step of moving the moving window by one byte again when the bit of a related position in the direct filter DF, which has been checked lastly, is 0; and a terminating step of checking whether the moving window is located at the end of the string or not, and of terminating the algorithm when the moving window is positioned at the end of the string.

Abstract: The present disclosure provides a method and a server apparatus for delivering content based on content-aware using a neural network. A server apparatus for content delivery is provided, including a content clustering unit for clustering multiple contents provided from a content provider based on a similarity; a training unit for training a cluster-wise content reconstruction model by using contents contained in each cluster in accordance with a result of clustering performed by the content clustering unit; a storage unit for storing the multiple contents and the cluster-wise content reconstruction model; and a transmission unit for transmitting content requested by a user and a content reconstruction model corresponding to a cluster containing the content requested to a user terminal.

Abstract: A laser processing method includes irradiating a laser light into a substrate along a cutting line to form a laser-scribed layer within the substrate, irradiating an X-ray onto a first surface of the substrate along the cutting line, obtaining an image of a diffracted X-ray from the substrate, and determining whether or not the laser-scribed layer is formed along the cutting line, based on analysis of the obtained image of the diffracted X-ray.

Abstract: The present disclosure relates to apparatus and method for training a learning system to detect event. The present disclosure provides apparatus and method for training a learning system that includes an event related keyword collecting unit that collects an event related keyword inputted by a user, a related keyword collecting unit that collects at least one related keyword from a word database by transmitting an event related keyword to the word database, an event related image collecting unit that collects at least one event related image that is related to a search formula from an image database by transmitting the search formula to the image database, and a training unit that trains a learning system by communicating with the learning system with a use of an event related image as training data.

Abstract: A method for managing multimedia data by a contents server comprises the steps of: generating one or more chunks from an input image; generating chunk information of the input image including a list of the generated chunks; performing an identity check among chunks on the basis of the chunk information of the input image and chunk information stored in the contents server; and updating the stored chunk information according to a result of the identity check, wherein the chunks are a meaningful scene unit in an image.

Abstract: A multi-pattern matching algorithm may be provided that includes: a moving step of moving a moving window from the start of a string one byte by one byte; a DF1 checking step of converting the string on a current position of the moving window into an integer value, and of checking whether or not a bit of a related position in a first direct filter DF1 for patterns having lengths larger than 2 bytes is set to 1; a DF moving step of checking one or more direct filters DF when the bit is set to 1 according to the DF1 checking step; a re-moving step of moving the moving window by one byte again when the bit of a related position in the direct filter DF, which has been checked lastly, is 0; and a terminating step of checking whether the moving window is located at the end of the string or not, and of terminating the algorithm when the moving window is positioned at the end of the string.

Abstract: An apparatus for repairing a semiconductor module including: a heating block comprising a thermal contact surface for contacting a defective semiconductor package mounted on a substrate of the semiconductor module to heat the defective semiconductor package using a conduction method and to melt a solder of the defective semiconductor package, and a vacuum adsorption line for adsorbing the defective semiconductor package and separating the defective semiconductor package from the substrate; and a heater installed in the heating block.