Abstract: The present disclosure relates to a medical image analysis method using a processor and a memory which are hardware. The method includes generating predicted second metadata for a medical image by using a prediction model, and determining a processing method of the medical image based on one of first metadata stored corresponding to the medical image and the second metadata.

Abstract: A method for manufacturing a semiconductor device and a semiconductor device produced thereby. For example and without limitation, various aspects of this disclosure provide methods for manufacturing a semiconductor device, and semiconductor devices produced thereby, that comprise forming an interposer including a reinforcement layer.

Abstract: The present disclosure relates to an apparatus and method for fast refining segmentation for a V-PCC encoder. The apparatus may include a grid segmentation unit segmenting a coordinate space of a point cloud into grid units, and an edge cube search unit searching a cube containing one or more points among the cubes segmented into grid units and containing a segment boundary. The apparatus may also include a surrounding cube search unit searching an edge surrounding cube containing one or more points within a predetermined range from the edge cube, and a smooth score calculation unit calculating smooth scores for all the edge surrounding cubes and all the edge cubes. The apparatus may further include a projection plane index update unit obtaining a normal score based on the calculated smooth scores and updating a projection plane index of each point in the edge cube using the normal score.

Abstract: A device and method for performing fast grid-based refining segmentation (FGRS) for video-based point cloud compression (V-PCC) is proposed. The method may include dividing a space of a three-dimensional (3D) point cloud into multiple grids to derive multiple voxels, searching for filled voxels including one or more points, searching for surrounding voxels which are filled voxels within a certain radius from each of the filled voxels, and searching for edge voxels which are present at a segment edge among all the filled voxels. The method may also include calculating smooth scores for surrounding voxels of each edge voxel and calculating a smooth score sum which is a smooth score for the edge voxel on the basis of the smooth scores of the surrounding voxels of the edge voxel, and updating a projection plane index (PPI) for each individual point in the edge voxel using the calculated smooth score sum.

Abstract: Disclosed herein are an apparatus and method for detecting a malicious script. The apparatus includes one or more processors and executable memory for storing at least one program executed by the one or more processors. The at least one program is configured to extract token-type features, each of which corresponds to a lexical unit, and tree-node-type features of an abstract syntax tree from an input script, to train two learning models to respectively learn two pieces of learning data that are generated in consideration of features extracted respectively from the token-type features and the node-type features as having the highest frequency, and to detect whether the script is a malicious script based on the result of ensemble-based malicious script detection performed for the script, which is acquired using an ensemble detection model generated from the two learning models.

Abstract: Disclosed herein are an apparatus and method for generating a data set. The apparatus includes one or more processors and executable memory for storing at least one program executed by the one or more processors. The at least one program classifies collected data into numerical feature data and categorical feature data using a filter method, performs correlation analysis on the numerical feature data and the categorical feature data using an analysis of variance (ANOVA) method and a Chi-Squared method, and generates a data set for supervised learning and a data set for unsupervised learning using correlation scores calculated through correlation analysis.

Abstract: A multilayer circuit board including a ceramic substrate part and a unit circuit board coupled to one surface of the ceramic substrate part. The unit circuit board includes an insulating layer with a circuit pattern formed on one side, an adhesive layer adhered to another surface of the insulating layer, a via hole passing through the insulating layer and the adhesive layer and connected to one surface of the circuit pattern, and conductive paste filled in the via hole. A manufacturing method including batch bonding a circuit board part, which includes a plurality of unit circuit boards, and a ceramic substrate part, wherein each unit circuit board includes providing an insulating layer having a circuit layer, forming an adhesive layer on the insulating layer, forming a circuit pattern, forming a via hole in the insulating and adhesive layers, and filling the via hole with conductive paste.

Abstract: The present disclosure relates to an apparatus and method for fast refining segmentation for a V-PCC encoder. The apparatus may include a grid segmentation unit segmenting a coordinate space of a point cloud into grid units, and an edge cube search unit searching a cube containing one or more points among the cubes segmented into grid units and containing a segment boundary. The apparatus may also include a surrounding cube search unit searching an edge surrounding cube containing one or more points within a predetermined range from the edge cube, and a smooth score calculation unit calculating smooth scores for all the edge surrounding cubes and all the edge cubes. The apparatus may further include a projection plane index update unit obtaining a normal score based on the calculated smooth scores and updating a projection plane index of each point in the edge cube using the normal score.

Abstract: A method of controlling an ultrasound imaging apparatus includes setting a region of interest on a contrast-enhanced image or an ultrasound image that is registered and displayed; obtaining feature information of the contrast-enhanced image or the ultrasound image from the set region of interest; detecting at least one region, in which feature information similar to the feature information of the region of interest is obtained; and displaying the at least one region that is detected.

Abstract: Disclosed herein are an apparatus and method for detecting a malicious script. The apparatus includes one or more processors and executable memory for storing at least one program executed by the one or more processors. The at least one program is configured to extract token-type features, each of which corresponds to a lexical unit, and tree-node-type features of an abstract syntax tree from an input script, to train two learning models to respectively learn two pieces of learning data that are generated in consideration of features extracted respectively from the token-type features and the node-type features as having the highest frequency, and to detect whether the script is a malicious script based on the result of ensemble-based malicious script detection performed for the script, which is acquired using an ensemble detection model generated from the two learning models.

Abstract: An ultrasound medical imaging method includes: displaying an ultrasound image on a screen; determining a view plane, on which the displayed ultrasound image is captured, among view planes; and setting a region of interest corresponding to the determined view plane on the ultrasound image.

Abstract: Provided are an ultrasound imaging apparatus and method of generating an ultrasound image. The ultrasound imaging apparatus includes: a memory configured to store instructions; and at least one processor configured to execute the stored instructions to: generate, based on echo signals reflected from an object, a first image showing a tissue of the object and a second image showing a contrast medium injected into the object; generate a third image by removing at least a portion of the tissue from the second image based on the first image; and display the generated third image.

Abstract: A method, an apparatus, and a system for analyzing traffic through obtaining flow data of a flow from a switch or a router of a network, calculating an average byte per packet rate (BPR) and a TCP flag ratio (TCPFR) for all flows included in a session including the flow using the flow data, and comparing the average BPR and the TCPFR with an average BPR and a TCPFR of previously-known traffic and determining whether the traffic including the flow is normal traffic or abnormal traffic based on the comparison result are provided.

Abstract: A method and a computation apparatus detecting cyber threats using a neural network through steps of: generating a learning model by performing machine learning on training data based on baseline data, converting a security event collected in real time into input data for the neural network, and determining, as an output corresponding to the input data based on the learning model, whether the security event is normal or threat are provided.

Abstract: A method, an apparatus, and a system for analyzing traffic through obtaining flow data of a flow from a switch or a router of a network, calculating an average byte per packet rate (BPR) and a TCP flag ratio (TCPFR) for all flows included in a session including the flow using the flow data, and comparing the average BPR and the TCPFR with an average BPR and a TCPFR of previously-known traffic and determining whether the traffic including the flow is normal traffic or abnormal traffic based on the comparison result are provided.

Abstract: An ultrasound diagnostic apparatus includes a touch interface configured to display a screen comprising an ultrasound image of an object, and receive a user touch on the ultrasound image; and a controller configured to acquire a seed point, at which the user touch is sensed, acquire shape information of the object, and perform a control to display, on the ultrasound image, a touch point corresponding to the user touch, the touch point being determined based on the seed point and the shape information.

Abstract: A method of controlling an ultrasound imaging apparatus includes setting a region of interest on a contrast-enhanced image or an ultrasound image that is registered and displayed; obtaining feature information of the contrast-enhanced image or the ultrasound image from the set region of interest; detecting at least one region, in which feature information similar to the feature information of the region of interest is obtained; and displaying the at least one region that is detected.

Abstract: An ultrasound diagnostic apparatus includes a touch interface configured to display a screen comprising an ultrasound image of an object, and receive a user touch on the ultrasound image; and a controller configured to acquire a seed point, at which the user touch is sensed, acquire shape information of the object, and perform a control to display, on the ultrasound image, a touch point corresponding to the user touch, the touch point being determined based on the seed point and the shape information.

Abstract: An ultrasound diagnostic apparatus includes a touch interface configured to display a screen comprising an ultrasound image of an object, and receive a user touch on the ultrasound image; and a controller configured to acquire a seed point, at which the user touch is sensed, acquire shape information of the object, and perform a control to display, on the ultrasound image, a touch point corresponding to the user touch, the touch point being determined based on the seed point and the shape information.

Abstract: Provided are an ultrasound imaging apparatus and method of generating an ultrasound image. The ultrasound imaging apparatus includes: a memory configured to store instructions; and at least one processor configured to execute the stored instructions to: generate, based on echo signals reflected from an object, a first image showing a tissue of the object and a second image showing a contrast medium injected into the object; generate a third image by removing at least a portion of the tissue from the second image based on the first image; and display the generated third image.