Abstract: A capacitor component includes a body including a dielectric layer and an internal electrode layer, and an external electrode disposed on the body and connected to the internal electrode layer. The dielectric layer includes dielectric grains, at least a portion of the dielectric grains has a core-shell structure, and a shell of the core-shell structure contains a rare earth element having an average concentration of more than 0.5 at %.

Abstract: A display device includes a bank including an opening exposing a surface of a base. The bank further includes side surfaces adjacent to an upper surface. The side surfaces slope downward from the upper surface toward an opening in an organic film pattern. A plurality of fine holes is formed on the upper surface and the side surfaces, the bank may also include a plurality of inner holes.

Abstract: A multilayer electronic component includes: a body including a capacitance forming portion in which dielectric layers and internal electrodes are alternately disposed in a first direction, and cover portions disposed on an upper surface and a lower surface of the capacitance forming portion, respectively, in the first direction; and external electrodes disposed on the body, wherein the cover portion includes a plurality of dielectric grains and a plurality of pores, and Gn/Pn is more than 10 and less than 30, in which Gn is the number of dielectric grains included in the cover portion and Pn is the number of pores included in the cover portion.

Abstract: Disclosed herein are image-based object recognition method and system by and in which a learning server performs image-based object recognition based on the learning of environment variable data. The image-based object recognition method includes: receiving an image acquired through at least one camera, and segmenting the image on a per-frame basis; primarily learning labeling results for one or more objects in the image segmented on a per-frame basis; performing primary reasoning by performing object detection in the image through a model obtained as a result of the primary learning; performing data labeling based on the results of the primary reasoning, and performing secondary learning with weights allocated to respective boxes obtained by the primary reasoning and estimated as object regions; and finally detecting one or more objects in the image through a model generated as a result of the secondary learning.

Abstract: An apparatus for supplying food ingredients according to the present disclosure includes a food ingredient lifting part configured to separate and move upward a food ingredient stack from a food ingredient cassette on which food ingredients including a plurality of stacked food ingredients are seated, a food ingredient separation part configured to suck and move upward a single sheet of a food ingredient from the food ingredient stack moved upward by the food ingredient lifting part, and a horizontal movement part configured to transfer forward the single sheet of the food ingredient moved upward by the food ingredient separation part.

Abstract: A system for manufacturing edible food products according to the present disclosure includes a first food ingredient supply apparatus configured to separate a single sheet of a first food ingredient from a first food ingredient stack including a plurality of stacked first food ingredients and supply the single sheet of first food ingredient, a second food ingredient supply apparatus configured to separate a single sheet of a second food ingredient from a second food ingredient stack including a plurality of stacked second food ingredients and supply the single sheet of second food ingredient, and a pressing device configured to form an edible food product by pressing a semi-finished product formed by seating the supplied single sheet of the first food ingredient on the supplied single sheet of the second food ingredient.

Abstract: A cutting apparatus according to the present disclosure includes a cutting roller including a cutting body having a cylindrical shape and configured to rotate about an axis defined in a leftward/rightward direction, and cutting blades protruding outward in a radial direction of the cutting body further than a surface of the cutting body to cut an edible food product provided in a forward/rearward direction, and a cutting base part disposed at a position facing the cutting roller based on the edible food product to support the edible food product to be cut by the cutting roller.

Abstract: Disclosed herein are image-based object recognition method and system by and in which a learning server performs image-based object recognition based on the learning of environment variable data. The image-based object recognition method includes: receiving an image acquired through at least one camera, and segmenting the image on a per-frame basis; primarily learning labeling results for one or more objects in the image segmented on a per-frame basis; performing primary reasoning by performing object detection in the image through a model obtained as a result of the primary learning; performing data labeling based on the results of the primary reasoning, and performing secondary learning with weights allocated to respective boxes obtained by the primary reasoning and estimated as object regions; and finally detecting one or more objects in the image through a model generated as a result of the secondary learning.

Abstract: Provided are a polyhedron of which the upper width is narrower than the lower width, a manufacturing method therefor, and a photoelectric conversion device comprising the same. The photoelectric conversion device comprises: a substrate; a polyhedron disposed on the substrate and of which the upper width is narrower than the lower width; and a semiconductor layer disposed on the polyhedron. The photoelectric conversion device to which the polyhedron, of which the upper width is narrower than the lower width, is applied can have improved photoelectric conversion efficiency due to structural characteristics of the polyhedron.

Abstract: A porous structure according to one embodiment of the present invention is constituted by a frame having a plurality of pores interconnected 3-dimensionally through a plurality of connecting passages. The plurality of pores defined by the frame are distributed in a closest packed state and are interconnected 3-dimensionally through a plurality of connecting passages in a symmetric structure, thus being effective in achieving a maximum porosity of the porous structure. A porous hierarchical structure according to one embodiment of the present invention includes a first porous structure having a plurality of 3-dimensionally interconnected first pores and a second porous structure having a plurality of 3-dimensionally interconnected second pores whose diameter is different from that of the first pores and surrounding and bonded to the first porous structure.

Abstract: Provided are a polyhedron of which the upper width is narrower than the lower width, a manufacturing method therefor, and a photoelectric conversion device comprising the same. The photoelectric conversion device comprises: a substrate; a polyhedron disposed on the substrate and of which the upper width is narrower than the lower width; and a semiconductor layer disposed on the polyhedron. The photoelectric conversion device to which the polyhedron, of which the upper width is narrower than the lower width, is applied can have improved photoelectric conversion efficiency due to structural characteristics of the polyhedron.