Abstract: A semiconductor device may include: a first gate structure; a second gate structure disposed over the first gate structure; and a channel structure including a first portion extending through the first gate structure, the first portion having a tapered cross section, a second portion having a tapered cross section, and a third portion connecting the first portion with the second portion, wherein the third portion has a vertical profile, and wherein the second portion and the third portion extends through the second gate structure.

Abstract: The present invention relates to an organic light-emitting device comprising, in a light-emitting layer thereof: a compound represented by [chemical formula A]; and a compound represented by any one of [chemical formula D-6] and [chemical formula D-7], wherein [chemical formula A], [chemical formula D-6], and [chemical formula D-7] are as described in the detailed description of the invention.

Abstract: A cleaning system is provided. The cleaning system includes a robot cleaner and a station. The robot cleaner includes a pad fixing part on which a cleaning pad is detachably mounted, a lifter to lift a part of the robot cleaner at which the pad fixing part is positioned, and a pad detacher to detach the cleaning pad mounted on the pad fixing part. The station includes a pad storage box in which a cleaning pad that is to be provided to the robot cleaner is stored, a pad coupling part on which a cleaning pad that is to be coupled to the robot cleaner is rested, and a pad supplier to supply the cleaning pad stored in the pad storage box to the pad coupling part.

Abstract: The present disclosure relates to a method for manufacturing core-shell particles using carbon monoxide, and more particularly, to a method for manufacturing core-shell particles, the method of which a simple and fast one-pot reaction enables particle manufacturing to reduce process costs, facilitate scale-up, change various types of core and shell metals, and form a multi-layered shell by including the steps of adsorbing carbon monoxide on a transition metal for a core, and reacting carbon monoxide adsorbed on the surface of the transition metal for the core, a metal precursor for a shell, and a solvent to form particles with a core-shell structure having a reduced metal shell layer formed on a transition metal core.

Abstract: Disclosed herein are an object recognition apparatus and method based on environment matching. The object recognition apparatus includes memory for storing at least one program, and a processor for executing the program, wherein the program performs extracting at least one key frame from a video that is input in real time, determining a similarity between the key frame extracted from the input video and each of videos used as training data of prestored multiple recognition models, based on a pretrained similarity-matching network, and selecting a recognition model pretrained with a video having a maximal similarity to the key frame extracted from the input video, preprocessing the input video such that at least one of color and size of a video used as training data of an initial model is similar to that of the input video, and recognizing the preprocessed video based on the initial model.

Abstract: Disclosed herein are an object recognition apparatus and method based on environment matching. The object recognition apparatus includes memory for storing at least one program, and a processor for executing the program, wherein the program performs extracting at least one key frame from a video that is input in real time, determining a similarity between the key frame extracted from the input video and each of videos used as training data of prestored multiple recognition models, based on a pretrained similarity-matching network, and selecting a recognition model pretrained with a video having a maximal similarity to the key frame extracted from the input video, preprocessing the input video such that at least one of color and size of a video used as training data of an initial model is similar to that of the input video, and recognizing the preprocessed video based on the initial model.