Abstract: An electronic device according to various embodiments may include: a display; an image sensor; and a processor configured to be operatively connected to the display and the image sensor. The processor may be configured to: display a first indicator at a specified position within a preview screen of the image sensor displayed on the display; identify a target on the preview screen; identify a target region corresponding to the identified target among a plurality of candidate target regions including the identified target on the basis of aesthetic scores assigned to the plurality of candidate target regions; display a second indicator corresponding to the identified target region on the preview screen; and when the second indicator is moved to the specified position, generate a photographic image corresponding to the preview screen at a specified time.

Abstract: A three-dimensional semiconductor integrated circuit includes a first CMOS circuit layer including a plurality of first CMOS circuit blocks; an insulating layer disposed on a top of the first CMOS circuit layer; a plurality of atomic switching elements respectively disposed inside via holes extending through the insulating layer, wherein the plurality of atomic switching elements are electrically connected to the plurality of first CMOS circuit blocks, respectively; a driver circuit layer disposed on a top of the insulating layer, and electrically connected with the atomic switching elements, wherein the driver circuit layer include a driver circuit for selectively turning on and off the atomic switching elements; and a second CMOS circuit disposed on a top of the driver circuit layer and connected to the atomic switching elements.

Abstract: Provided is a method of forming graphene. The method of forming graphene includes treating a surface of a substrate placed in a reaction chamber with plasma while applying a bias to the substrate, and growing graphene on the surface of the substrate by plasma enhanced chemical vapor deposition (PECVD).

Abstract: A method of recognizing a feature of an image may include receiving an input image including an object; extracting first feature information using a first layer of a neural network, the first feature information indicating a first feature corresponding to the input image among a plurality of first features; extracting second feature information using a second layer of the neural network, the second feature information indicating a second feature among a plurality of second features, the indicated second feature corresponding to the first feature information; and recognizing an element corresponding to the object based on the first feature information and the second feature information.

Abstract: A user verification apparatus may perform user verification using multiple biometric verifiers. The user verification apparatus may set a termination stage of one or more biometric verifiers. Multiple biometric verifiers may be used to generate outputs, for which separate termination stages are set to establish a particular combination of set termination stages associated with the multiple biometric verifiers, and the user verification apparatus may fuse outputs of the biometric verifiers based on the particular combination of set termination stages. The user verification apparatus may verify a user based on a result of the fusing, and an unlocking command signal may be generated based on the verifying. The unlocking command signal may be generated to selectively grant access, to the verified user, to one or more elements of a device. The device may be a vehicle.

Abstract: A display apparatus including a display panel configured to display an image in a front direction; a main speaker provided on a rear surface of the display panel; and an auxiliary speaker provided on the rear surface of the display panel, the auxiliary speaker being configured to output a sound in a rear direction opposing the front direction.

Abstract: A display apparatus is provided. The display apparatus includes a display; a main body on which the display is mounted; a cover; a mounting member configured to separably mount the main body to the mounting member; and a guide member disposed at a back surface of the main body, the guide member including a plate member and side-surface members extending from opposite side surfaces of the plate member, wherein each of the side-surface members has an inclined shape.

Abstract: An electronic apparatus may include a loudspeaker that includes an enclosure; a first driver disposed in the enclosure and configured to output a sound based on an input audio signal; a unit accommodator having a hole in which the first driver is disposed, and extending toward an inside of the enclosure; a space forming portion extended from an outer edge of the unit accommodator, surrounding a back of the first driver to form a space with the unit accommodator, and spaced apart from an inner edge of the unit accommodator; a slot forming portion extending from the space forming portion, and having an inner surface spaced apart from an outer surface of the unit accommodator to form a first sound output passage; and a sound absorber disposed at at least one of the outer surface of the unit accommodator and the inner surface of the slot forming portion.

Abstract: An electronic device includes: a housing including a window facing in a first direction and a rear plate facing in a second direction; a display including a first layer disposed on the window, a second layer disposed on the first layer and having a first opening, and a conductive layer disposed on the second layer and having a second opening corresponding to the first opening; an FPCB disposed on the display and having a third opening corresponding to the second opening; a frame structure disposed between the FPCB and the rear plate and having a fourth opening corresponding to the third opening; a fingerprint sensor having at least a portion inserted into the fourth opening and facing in the first direction; and a dustproof member disposed between the display and the frame structure within a region formed by the third opening.

Abstract: An image conversion apparatus for converting an image by using an artificial neural network includes: an image receiver receiving an image from a user; a template obtainer obtaining at least one image conversion template; and an image converter converting the static image into a moving image by using the obtained at least one image conversion template, wherein the image converter converts the static image received by the image receiver, into the moving image.

Abstract: A computing apparatus may process an operation. The computing apparatus may output information regarding an aggregation operation and an operand corresponding to a variable stored in a memory, store information regarding an operator and the aggregation operands regarding the aggregation operation, perform a first partial operation with respect to the aggregation operands and store a result value of the first partial operation, and process the aggregation operation based on storing the variable, performing a second partial operation with respect to the result value of the first partial operation stored in the cache and the operand corresponding to the variable, and storing a result value of the second partial operation.

Abstract: A user verification apparatus may perform user verification using multiple biometric verifiers. The user verification apparatus may set a termination stage of one or more biometric verifiers. Multiple biometric verifiers may be used to generate outputs, for which separate termination stages are set to establish a particular combination of set termination stages associated with the multiple biometric verifiers, and the user verification apparatus may fuse outputs of the biometric verifiers based on the particular combination of set termination stages. The user verification apparatus may verify a user based on a result of the fusing, and an unlocking command signal may be generated based on the verifying. The unlocking command signal may be generated to selectively grant access, to the verified user, to one or more elements of a device. The device may be a vehicle.

Abstract: Disclosed is a display apparatus. The display apparatus comprises a display; and a speaker wherein the speaker comprises a driver configured to output sound based on an input sound signal; an enclosure surrounding a rear side of the driver; and an air adsorption member comprising graphene provided in the enclosure. Based on the above, low-range reproduction capability of the speaker of the display apparatus may be improved and the degree of freedom in designing the speaker may be increased.

Abstract: An image processing method includes extracting a first region in a first image by inputting the first image to a pretrained neural network, upscaling a resolution of the first region by performing neural network-based super resolution processing on the first region, and upscaling a resolution of a second region in the first image from which the first region is excluded by performing interpolation on the second region.

Abstract: A display apparatus includes a rear chassis configured to support a liquid crystal display panel and a backlight assembly; a vibration region formed as a part of the rear chassis adjacent to an edge of the rear chassis, the vibration region being isolated from a remaining part of the rear chassis by a vibration blocking part so that vibration is not transmitted to the remaining part of the rear chassis; a vibrator disposed in the vibration region; a rear housing configured to surround the rear chassis and including a discharge port communicating with the vibration region of the rear chassis to discharge sound generated in the vibration region to an outside; and a waveguide disposed on the rear chassis and configured to guide sound generated in the vibration region to the discharge port of the rear housing.

Abstract: A method of preprocessing an image including biological information is disclosed, in which an image preprocessor may set an edge line in an input image including biological information, calculate an energy value corresponding to the edge line, and adaptively crop the input image based on the energy value.

Abstract: Disclosed is an electronic apparatus comprising: an audio processor configured to process a sound signal; and a loudspeaker configured to output sound based on the sound signal, the loudspeaker comprising: a first driver; a second driver configured to output a frequency band higher than a frequency band output by the first driver; and a plate-shaped enclosure comprising a chamber accommodating the first driver and the second driver and a sound emission passage adjacent to the chamber, and the sound emission passage comprising: a first sound emission passage extending along an arrangement direction of the first driver and the second driver and having the first driver disposed therein; and a second sound emission passage extending along the arrangement direction of the first driver and the second driver inside the first sound emission passage and having the second driver disposed therein.

Abstract: A method of calculating a moving distance of a movable object in consideration of a bias identified based on a linear velocity of the movable object in the process of implementing a SLAM, and an electronic apparatus therefor are provided. One or more of an electronic apparatus, a vehicle and an autonomous vehicle disclosed in the present invention may be connected to an artificial intelligence module, a drone (Unmanned Aerial Vehicle, UAV), a robot, an augmented reality (AR) device, a virtual reality (VR) device, a device related to 5G service, and so on.

Abstract: The present disclosure relates to a method of selecting representative measurements from among measurements related to an environment around a movable object and determining whether the representative measurements are associated with landmarks to realize SLAM and an electronic apparatus for the same. One or more of an electronic apparatus, a vehicle, and an autonomous vehicle of the present disclosure may be connected to, for example, an artificial intelligence module, an unmanned aerial vehicle (UAV), a robot, an augmented reality (AR) device, a virtual reality (VR) device, or a 5G service device.