Abstract: Provided are a laser device and an optical apparatus including the same. The laser device includes a pump light source configured to provide pump light, a gain medium configured to acquire a gain of seed laser light by using the pump light, a first curved mirror and a second curved mirror, which are provided at both sides of the gain medium to reflect the seed laser light into the gain medium, an output mirror configured to transmit a portion of the seed laser light reflected by the second curved mirror and reflect the other portion of the seed laser light to the gain medium, a first acoustic wave generator connected to the gain medium and configured to provide a first photoacoustic wave in the gain medium, and a second acoustic wave generator connected to the gain medium and configured to provide a second photoacoustic wave in the gain medium.

Abstract: The image processing device includes a voxel extractor, a learner, and a predictor. The voxel extractor extracts a target voxel and neighboring voxels adjacent to the target voxel from a 3D image. The learner generates vectors corresponding to the target voxel and the neighboring voxels, respectively, generates vector weights corresponding to each of the vectors, based on the vectors and a parameter group, and adjusts the parameter group, based on an analysis result of the target voxel generated by applying the vector weights to the vectors. The predictor generates vectors corresponding to the target voxel and the neighboring voxels, respectively, generates correlation weights among the vectors by applying a parameter group to the vectors, generates vector weights corresponding to each of the vectors by applying the correlation weights to the vectors, and generates an analysis result of the target voxel by applying the vector weights to the vectors.

Abstract: According to an aspect of embodiments, a method of generating an image by using LiDAR includes performing a reconstruction of a two-dimensional reflection intensity image, the performing of the reconstruction including projecting three-dimensional reflection intensity data that are measured by using the LiDAR as the two-dimensional reflection intensity image, and the method includes generating a color image by applying a projected two-dimensional reflection intensity image to a Fully Convolutional Network (FCN).

Abstract: According to an aspect of embodiments, a method of generating an image by using LiDAR includes performing a reconstruction of a two-dimensional reflection intensity image, the performing of the reconstruction including projecting three-dimensional reflection intensity data that are measured by using the LiDAR as the two-dimensional reflection intensity image, and the method includes generating a color image by applying a projected two-dimensional reflection intensity image to a Fully Convolutional Network (FCN).

Abstract: The image processing device includes a voxel extractor, a learner, and a predictor. The voxel extractor extracts a target voxel and neighboring voxels adjacent to the target voxel from a 3D image. The learner generates vectors corresponding to the target voxel and the neighboring voxels, respectively, generates vector weights corresponding to each of the vectors, based on the vectors and a parameter group, and adjusts the parameter group, based on an analysis result of the target voxel generated by applying the vector weights to the vectors. The predictor generates vectors corresponding to the target voxel and the neighboring voxels, respectively, generates correlation weights among the vectors by applying a parameter group to the vectors, generates vector weights corresponding to each of the vectors by applying the correlation weights to the vectors, and generates an analysis result of the target voxel by applying the vector weights to the vectors.

Abstract: Disclosed are a method and an apparatus for detecting a translocation. The apparatus acquires BAM for a first pair of chromosomes and a second pair of chromosomes. Also, the apparatus detects a translocation generated in at least one chromosome by selecting at least one translocation case corresponding to the translocation information produced on the basis of BAM from among multiple translocation cases in which a translocation may be generated in at least one of the first and the second chromosomes.

Abstract: Disclosed herein is an open healthcare apparatus and method in which a user personally performs integrated management of health records including data concerning western medicine, oriental medicine, life logs, etc. health-related big data is built by receiving health information, from which personal information is deleted, under the agreement of the user, and customized health service is provided by various service providers based on the health-related big data. The disclosed apparatus includes a personal cloud repository for storing personal health data, a health-related big data repository for storing public and personal health data on a health case basis, a healthcare platform for storing and analyzing personal health data and for relaying and managing a customized service, and an analysis platform for analyzing user's health based on the information of the health-related big data repository and for providing customized service depending on the analysis result.

Abstract: The inventive concept relates to a multi-dimensional time series data processing device, a health prediction system including the same, and a method of operating the time series data processing device. A time series data processing device according to an embodiment of the inventive concept includes a network interface, a data generator, a predictor, and a processor. The network interface receives the first time series data having the first type. The data generator generates second time series data having a second type based on the first time series data. The predictor generates prediction data based on the first time series data and the second time series data.

Abstract: Provided are a device and method for processing multi-dimensional time series medical data. The device for processing multi-dimensional time series medical data according to an embodiment of the present invention includes a network interface, a preprocessing unit, a data analysis unit, and a processor. The network interface may receive time series medical data including first visit data corresponding to the first time and second visit data corresponding to the second time before the first time. The preprocessing unit preprocesses the time series medical data to generate the modeling data. The preprocessing unit is configured to preprocess the first visit data based on a difference between the first time and the second time. The data analysis unit may generate a time series analysis model for predicting future visit data from the modeling data.

Abstract: The present invention relates to a shock sensing device for vehicle and method for controlling thereof. The present invention can minimize battery consumption with faster handling of occurred accident more than prior art when camera was installed at a side of a vehicle to film a blind spot since the present invention can film information of a vehicle blind spot with camera of only 1 channel or 2 channel.

Abstract: The present disclosure herein relates to a future health trend forecasting system and a method thereof through a similar case cluster-based prediction model, and more specifically, to a server and a method thereof for extracting multiple associated feature similar case clusters that match a prediction query for the user's health information through a class prediction model and a future value prediction model for health features of a similar case cluster generated by cyclically clustering the target feature that is a health feature for personal health information and an associated feature of the target feature, predicting future health trends for each associated feature using multiple prediction models based on corresponding similar case clusters, and combining and outputting the prediction results.

Abstract: Provided are a search method and device for searching for a case similar to user's health data at high-speed from large scale multi-dimensional time series health data. The method includes preprocessing health data inputted through an interface circuit, performing a multi-dimensional feature extraction learning based on machine learning on the preprocessed health data, and generating one or more feature extraction models for dimension reduction based on the multi-dimensional feature extraction learning.

Abstract: Provided are a device and method for diagnosing cardiovascular disease for providing rapid and accurate treatment and prescription for cardiovascular disease by accurately performing a diagnosis of cardiovascular disease for a particular user using the user's personal health checkup data and genome information measured periodically and the target gene of cardiovascular disease.

Abstract: The present application relates to a system for location measurement and night-time forward vehicle detection using a single multi-exposure camera and method thereof which use a long exposure and short exposure frame images among four exposure methods of a multi-exposure camera and applies a binarization method which use a local adaptive threshold value, and also applies a BLOB (Binary Large Objects) matching method which detects an identical candidate BLOB from a different exposure frame image thereby, enables further accurate detection and location measurement of a forward vehicle during night-time drive.

Abstract: Provided are a clinical decision supporting ensemble system and method. Clinical prediction results for a patient obtained through machine learning and received from a plurality of external medical institutions are integrated to perform an ensemble prediction, so that not only a current condition of the patient but also a future process of an illness of the patient is predicted to assist a medical person in making a quick and correct medical decision.

Abstract: Provided are a search method and device in which, in order to search for health data having a multivariate (multi-dimensional) time-series characteristic with high calculation complexity for a search, a format of the health data is converted and a dimension of the health data is reduced through feature extraction to which a learning model is applied, so that the calculation complexity for the search may be remarkably reduced and the similar case search may be performed efficiently.

Abstract: Provided are a personal cloud based personal health record management method and device for allowing users to dominantly manage personal health records, which are accumulated and managed by each of various health service institutions, through a personal health record management device and a personal cloud repository.

Abstract: The inventive concept relates to a method and apparatus for predicting health data values through the generation of a health data pattern. The inventive concept provides a health data value prediction method and apparatus. The health data value prediction method and apparatus may select health data values and important health characteristics associated with the health data values from big data on a plurality of pieces of time-series health information. The health data value prediction method and apparatus may form a health data value prediction model that has repetitively learned the pattern, and accurately predict a user's health data value through the prediction model.

Abstract: The present application relates to a system for location measurement and night-time forward vehicle detection using a single multi-exposure camera and method thereof which use a long exposure and short exposure frame images among four exposure methods of a multi-exposure camera and applies a binarization method which use a local adaptive threshold value, and also applies a BLOB (Binary Large Objects) matching method which detects an identical candidate BLOB from a different exposure frame image thereby, enables further accurate detection and location measurement of a forward vehicle during night-time drive.

Abstract: An apparatus and method for counting alleles are disclosed herein. The apparatus for counting alleles includes a file input unit and a counting unit. The file input unit receives one or more files including human genome data. The counting unit reads the files on a predetermined window size basis by means of parallel reading using multi-threading based on the position information of the files, performs allele counting, and merges the results of the counting.