Abstract: A server includes a communication interface; and at least one processor operatively connected to the communication interface and configured to: identify, based on use information received through the communication interface and related to at least one from among a plurality of electronic apparatuses, a first electronic apparatus to be used after from among the plurality of electronic apparatuses, and control the communication interface to transmit, to the first electronic apparatus from among the plurality of electronic apparatuses, a first control signal for controlling the first electronic apparatus.

Abstract: Provided are a method of forming a mask, the method accurately and quickly restoring an image on the mask to the shape on the mask, and a mask manufacturing method using the method of forming the mask. The method of forming a mask includes obtaining first images by performing rasterization and image correction on shapes on the mask corresponding to first patterns on a wafer, obtaining second images by applying a transformation to the shapes on the mask, performing deep learning based on a transformation relationship between ones of the first images and ones of the second images corresponding to the first images, and forming a target shape on the mask corresponding to a target pattern on the wafer, based on the deep learning. The mask is manufactured based on the target shape on the mask.

Abstract: Disclosed is a method of generating a curvilinear sub-resolution assist feature (SRAF) capable of easily generating a curvilinear SRAF satisfying mask rule check (MRC) conditions, an MRC verification method for easy MRC verification of the curvilinear SRAF, and a mask manufacturing method including the method of generating the same. The method of generating a curvilinear SRAF includes generating a curve axis for generating the curvilinear SRAF corresponding to a main feature, generating curve points on a line of the curve axis, and generating the curvilinear SRAF based on the curve points.

Abstract: Disclosed is an operating method of an electronic device for manufacture of a semiconductor device. The operating method includes receiving a layout image of the semiconductor device, generating an intermediate image by generating assist features based on main features of the layout image, evaluating a process result by performing simulation based on the intermediate image, and correcting the intermediate image by correcting shapes of the main features and/or the assist features of the intermediate image based on the process result.

Abstract: Provided are a method of forming a mask, the method accurately and quickly restoring an image on the mask to the shape on the mask, and a mask manufacturing method using the method of forming the mask. The method of forming a mask includes obtaining first images by performing rasterization and image correction on shapes on the mask corresponding to first patterns on a wafer, obtaining second images by applying a transformation to the shapes on the mask, performing deep learning based on a transformation relationship between ones of the first images and ones of the second images corresponding to the first images, and forming a target shape on the mask corresponding to a target pattern on the wafer, based on the deep learning. The mask is manufactured based on the target shape on the mask.