Abstract: A fingerprint extraction apparatus includes a fingerprint generation module configured to generate first and second virtual fingerprint images, perform primary image processing on the first virtual fingerprint image and primary and secondary image processing on the second virtual fingerprint images, and generate virtual overlapped fingerprint images by combining the first and second virtual fingerprint images on which image processing is performed; a machine learning module configured to generate a learning model by performing machine learning using the virtual overlapped fingerprint images as input data; and a fingerprint extraction module configured to extract a fingerprint located vertically on a center of a real image by inputting the real image to a target fingerprint extraction learning model, and the primary image processing comprises image processing on a curve forming a fingerprint, and the secondary image processing comprises image processing on a location of the fingerprint in the image.

Abstract: The present disclosure relates to an apparatus for processing a substrate, and more particularly, to an apparatus for processing a substrate, which deposits a thin-film on a substrate. The apparatus for processing a substrate in accordance with an exemplary embodiment includes a plurality of source gas supply units configured to respectively supply a plurality of source gases among which at least one contains (3-Dimethylaminopropyl)Dimethylindium (DADI), a gas mixing unit connected to each of the plurality of source gas supply units and having an inner space in which each of the plurality of source gases moves at a passing speed less than a supply speed of each of the plurality of source gases, and a chamber connected with the gas mixing unit and having a reaction space to which the source gases mixed in the inner space are supplied.

Abstract: A fingerprint extraction apparatus includes a fingerprint generation module configured to generate first and second virtual fingerprint images, perform primary image processing on the first virtual fingerprint image and primary and secondary image processing on the second virtual fingerprint images, and generate virtual overlapped fingerprint images by combining the first and second virtual fingerprint images on which image processing is performed; a machine learning module configured to generate a learning model by performing machine learning using the virtual overlapped fingerprint images as input data; and a fingerprint extraction module configured to extract a fingerprint located vertically on a center of a real image by inputting the real image to a target fingerprint extraction learning model, and the primary image processing comprises image processing on a curve forming a fingerprint, and the secondary image processing comprises image processing on a location of the fingerprint in the image.

Abstract: A wearable electronic device may include: a display unit comprising a display included in a body of the wearable electronic device; a touch sensor module comprising touch sensing circuitry located to surround the display unit and configured to detect a touch; and a processor configured to perform a preset operation based on a start position of the touch detected by the touch sensing circuitry and a movement direction of the touch.