Abstract: Disclosed is a server for collecting geospatial information. The server may include: one or more server processors determining a domain region for an original location of a terminal, and defining a reference probability for sampling a perturbed location in the domain region according to a relationship between a reference region in the domain region and the perturbed location for the original location. As a result, geospatial information having high reliability may be collected while privacy is protected.

Abstract: In an embodiment an apparatus includes a processor configured to generate a feature extraction module using a dataset in which an attribute for each object is defined, receive an image obtained by a camera, extract an attribute of an object of interest from the image using the learned feature extraction module, identify an object re-identification candidate group based on the extracted attribute of the object of interest and re-identify the object of interest based on the identified object re-identification candidate group.

Abstract: A content-based medical image retrieval method and a retrieval system using the same include: obtaining m (2?m?n) number of unit images from a three-dimensional (3D) medical image including n (n?2) number of unit images and extracting features per unit image from each of the m (2?m?n) number of unit images through a feature extraction unit, wherein the 3D medical image is voxel data including a plurality of slices and each of the plurality of slices is defined as a unit image; inputting features of each unit image extracted from the m (2?m?n) number of unit images to a recurrent neural network to generate an output value; and performing medical image retrieval using the output value through an input processing unit, wherein a plurality of 3D medical images to be compared with the output value include a 3D medical image having p (p?2, p?n) number of unit images.

Abstract: Provided are a method and program for computing a bone age using a deep neural network. The method for computing a bone age using a deep neural network, including: receiving an analysis target image that is a specific medical image to compute the bone age; and analyzing the analysis target image by at least one computer using the deep neural network to compute the bone age. According to the present disclosure, since the bone age is computed by accumulating medical images of a specific race (particularly, Korean) and analyzing the same, it is possible to compute an accurate bone age that conforms to race.

Abstract: A content-based medical image retrieval method and a retrieval system using the same include: obtaining m (2?m?n) number of unit images from a three-dimensional (3D) medical image including n (n?2) number of unit images and extracting features per unit image from each of the m (2?m?n) number of unit images through a feature extraction unit, wherein the 3D medical image is voxel data including a plurality of slices and each of the plurality of slices is defined as a unit image; inputting features of each unit image extracted from the m (2?m?n) number of unit images to a recurrent neural network to generate an output value; and performing medical image retrieval using the output value through an input processing unit, wherein a plurality of 3D medical images to be compared with the output value include a 3D medical image having p (p?2, p?n) number of unit images.

Abstract: Provided are a method and program for computing a bone age using a deep neural network. The method for computing a bone age using a deep neural network, including: receiving an analysis target image that is a specific medical image to compute the bone age; and analyzing the analysis target image by at least one computer using the deep neural network to compute the bone age. According to the present disclosure, since the bone age is computed by accumulating medical images of a specific race (particularly, Korean) and analyzing the same, it is possible to compute an accurate bone age that conforms to race.

Abstract: An optical disc recording method to record data on a disc using multiple speeds by dividing a disc region into an inner circumference region and an outer circumference region depending on radii of the disc, setting a multiple recording speed for each region; setting optical recording power in a lead-in region of the inner circumference region and a lead-out region of the outer circumference region, by performing optimum power controls therein; determining in which one of the divided regions data is to be recorded using an address detected from the disc, rotating the disc at the multiple recording speed set for the one region in which the data is to be recorded, and recording the data in the one region using the set optical recording power for the one region.

Abstract: An optical disc recording method to record data on a disc using multiple speeds by dividing a disc region into an inner circumference region and an outer circumference region depending on radii of the disc, setting a multiple recording speed for each region; setting optical recording power in a lead-in region of the inner circumference region and a lead-out region of the outer circumference region, by performing optimum power controls therein; determining in which one of the divided regions data is to be recorded using an address detected from the disc, rotating the disc at the multiple recording speed set for the one region in which the data is to be recorded, and recording the data in the one region using the set optical recording power for the one region.