Abstract: Provided a virtual Layer 2 (L2) switch for providing a virtual L2 switch service to a factory network that includes at least one control device connected to the factory network through an L2 network and industrial terminals connected to the factory network through a wireless mobile network.

Abstract: This application relates to a method of measuring a volume of an organ. In one aspect, the method includes acquiring a plurality of captured images of the organ and photographing metadata and preprocessing the plurality of images to acquire a plurality of image patches of a specified size. The method may also include inputting the plurality of image patches into a three-dimensional (3D) convolutional neural network (CNN)-based neural network model and estimating an organ region corresponding to each of the plurality of image patches. The method may further include measuring a volume of the organ by using an area of the estimated organ region and the photographing metadata. The method may further include measuring an uncertainty value of the 3D CNN-based neural network model and uncertainty values of the plurality of images based on a result of estimating by the 3D CNN-based neural network model.

Abstract: This application relates to a method of measuring a volume of an organ. In one aspect, the method includes acquiring a plurality of captured images of the organ and photographing metadata and preprocessing the plurality of images to acquire a plurality of image patches of a specified size. The method may also include inputting the plurality of image patches into a three-dimensional (3D) convolutional neural network (CNN)-based neural network model and estimating an organ region corresponding to each of the plurality of image patches. The method may further include measuring a volume of the organ by using an area of the estimated organ region and the photographing metadata. The method may further include measuring an uncertainty value of the 3D CNN-based neural network model and uncertainty values of the plurality of images based on a result of estimating by the 3D CNN-based neural network model.

Abstract: The present invention provides a method for producing cloned cows by employing in vitro maturation of oocytes and nuclear transfer techniques. The method comprises collecting donor somatic cell lines from cows; maturing oocytes extracted from an ovary in vitro; enucleating the oocyte by cutting a portion of the zona pellucida and squeezing out a portion of the cytoplasm, including the first polar body; inserting the donor somatic cell into the oocyte; electrofusing the cells to produce embryos; post-activating the embryos; transferring them into surrogate cows to produce cloned calves.