Abstract: The present disclosure relates to a polycarbonate resin composition, and more particularly, to a polycarbonate resin composition containing 90 wt % to 99 wt % of a polycarbonate resin, 0.3 wt % to 0.7 wt % of an anthraquinone-based black dye, and 0.2 wt % to 1.0 wt % of an acrylic polymeric chain extender, and a molded article containing the same.

Abstract: Provided is a fluorine-doped tin oxide support, a platinum catalyst for a fuel cell having the same, and a method for producing the same. Also described is a high electrical conductivity and electrochemical durability by doping fluorine to the tin oxide-based support through an electrospinning process. Thus, while resolving a degradation issue of the carbon support in the conventional commercially available platinum/carbon (Pt/C) catalyst, what is designed is to minimize an electrochemical elution of dopant or tin, which is a limitation of the tin oxide support itself and has excellent performance as a catalyst for a fuel cell.

Abstract: Provided are a composition for diagnosing breast cancer and a method of diagnosing breast cancer using the same. Breast cancer may be diagnosed using blood in a simple manner.

Abstract: An apparatus and method of training a convolutional neural network (CNN) are provided. A method of training a CNN including a plurality of convolution layers stored in a memory involves approximating, using a processor, a convolution layer among the plurality of convolution layers using a low-rank approximation; reducing the number of output reconstruction filters of the approximated convolution layer; and modifying a structure of the CNN based on an approximation result and the reduced number of output reconstruction filters.

Abstract: A nickname management apparatus includes a speech agent configured to recognize a speech of a user to obtain nickname information of a device, and a nickname manager configured to determine a device corresponding to the nickname information from one or more devices on a network, and register the named device based on the determination.

Abstract: According to an aspect of an exemplary embodiment, an apparatus for avoiding region of interest (ROI) re-detection includes a detector configured to detect an ROI from an input medical image; a re-detection determiner configured to determine whether the detected ROI corresponds to a previously-detected ROI using pre-stored user determination information; and an ROI processor configured to perform a process for the detected ROI based on the determination.

Abstract: Disclosed are an image sampling apparatus and method. The image sampling apparatus includes a probe angular velocity detector configured to detect an angular velocity of a probe representing a change in an angle of the probe at a surface of an object, an image segmenter configured to receive the angular velocity and an image captured by the probe, and to segment the image into sub-regions based on the angular velocity, and a differential sampler configured to sample the sub-regions with a different sampling rate based on a position of a sub-region.

Abstract: A method of searching a pattern in sequence data includes setting a plurality of interest pattern models each including an interest pattern length, an allowed mismatch value, and a minimum support; calculating a support of a candidate pattern that is generable within the interest pattern length based on the allowed mismatch value of at least one of the plurality of interest pattern models; and determining whether the support of the candidate pattern fulfills a condition of the minimum support of at least one of the plurality of interest pattern models.

Abstract: Provided are a method and an apparatus for speech recognition, and a method and an apparatus for training transformation parameter. A speech recognition apparatus includes an acoustic score calculator configured to use an acoustic model to calculate an acoustic score of a speech input, an acoustic score transformer configured to transform the calculated acoustic score into an acoustic score corresponding to standard pronunciation by using a transformation parameter, and a decoder configured to decode the transformed acoustic score to output a recognition result of the speech input.

Abstract: A nickname management apparatus includes a speech agent configured to recognize a speech of a user to obtain nickname information of a device, and a nickname manager configured to determine a device corresponding to the nickname information from one or more devices on a network, and register the named device based on the determination.

Abstract: A method and an apparatus are provided to visualize high-dimensional data. The method includes primarily visualizing the high-dimensional data at a dimension lower than the high-dimensional data to obtain a primarily-visualized image. The method also includes secondarily visualizing the high-dimensional data in an area of the primarily-visualized image at a dimension higher than the primarily-visualized image to obtain a secondarily-visualized image.

Abstract: An apparatus and a method for mining temporal pattern are provided. A method for mining temporal pattern includes generating a data pattern group comprising data patterns from sequential data, generating a candidate pattern group comprising candidate patterns from the data pattern group, calculating a support value for a candidate pattern in a candidate pattern group based on a discrepancy value of the candidate pattern, and determining whether the candidate pattern satisfies a predetermined pattern requirement, based on the calculated support value.

Abstract: An apparatus and method of training a convolutional neural network (CNN) are provided. A method of training a CNN including a plurality of convolution layers stored in a memory involves approximating, using a processor, a convolution layer among the plurality of convolution layers using a low-rank approximation; reducing the number of output reconstruction filters of the approximated convolution layer; and modifying a structure of the CNN based on an approximation result and the reduced number of output reconstruction filters.

Abstract: An apparatus and a method for supporting Computer-Aided Diagnosis (CAD) are provided. The apparatus includes a cause analyzer configured to analyze a cause of a reliability of a diagnosis result of a medical image being lower than a level, the medical image being captured using a probe, and a guide information generator configured to generate guide information of an operation of the probe based on the analyzed cause.

Abstract: An apparatus and a method for Computer Aided Diagnosis (CAD) and an apparatus for controlling an ultrasonic transmission pattern of a probe, are provided. The apparatus for controlling the ultrasonic transmission pattern is configured to transmit ultrasonic signals to an object in directions, and receive ultrasonic echo signals in response to the ultrasonic signals being reflected from the object. The apparatus for controlling the ultrasonic transmission pattern includes a determiner configured to determine, based on pressure that is applied on the probe, a number of transmission directions in which the ultrasonic signals are to be transmitted, and determine the transmission directions in which the ultrasonic signals are to be transmitted, based on the determined number of the transmission directions. The apparatus further includes an energy controller configured to control energy of each of the ultrasonic signals based on the determined number of the transmission directions.

Abstract: According to an aspect of an exemplary embodiment, an apparatus for avoiding region of interest (ROI) re-detection includes a detector configured to detect an ROI from an input medical image; a re-detection determiner configured to determine whether the detected ROI corresponds to a previously-detected ROI using pre-stored user determination information; and an ROI processor configured to perform a process for the detected ROI based on the determination.

Abstract: Disclosed are an image sampling apparatus and method. The image sampling apparatus includes a probe angular velocity detector configured to detect an angular velocity of a probe representing a change in an angle of the probe at a surface of an object, an image segmenter configured to receive the angular velocity and an image captured by the probe, and to segment the image into sub-regions based on the angular velocity, and a differential sampler configured to sample the sub-regions with a different sampling rate based on a position of a sub-region.

Abstract: An organic light emitting diode display includes a substrate, a planarization layer disposed on the substrate, a first electrode disposed on the planarization layer, an emission layer disposed on the first electrode, and a second electrode disposed on the emission layer, wherein an uneven pattern is formed on a top surface of the planarization layer, the uneven pattern comprises a strip line having a plurality of thicknesses and widths, and a thickness of the strip line becomes smaller as a distance from a center portion of the first electrode becomes larger.

Abstract: An organic light emitting diode display includes a substrate, a planarization layer disposed on the substrate, a first electrode disposed on the planarization layer, an emission layer disposed on the first electrode, and a second electrode disposed on the emission layer, wherein an uneven pattern is formed on a top surface of the planarization layer, the uneven pattern comprises a strip line having a plurality of thicknesses and widths, and a thickness of the strip line becomes smaller as a distance from a center portion of the first electrode becomes larger.

Abstract: An apparatus and a method for mining temporal pattern are provided. A method for mining temporal pattern includes generating a data pattern group comprising data patterns from sequential data, generating a candidate pattern group comprising candidate patterns from the data pattern group, calculating a support value for a candidate pattern in a candidate pattern group based on a discrepancy value of the candidate pattern, and determining whether the candidate pattern satisfies a predetermined pattern requirement, based on the calculated support value.