Abstract: It is disclosed a blood glucose prediction system and method using saliva-based artificial intelligence deep learning technique.

Abstract: An apparatus for data processing in a heterogeneous multi-processor environment are provided. The apparatus including an analysis unit configured to analyze 1) operations to be run in connection with data processing and 2) types and a number of processors available for the data processing, a partition unit configured to dynamically partition data into a plurality of data regions having different sizes based on the analyzed operations and operation-specific processor priority information, which is stored in advance of running the operations, and a scheduling unit configured to perform scheduling by allocating operations to be run in the data regions between the available processors.

Abstract: A text recognition region detecting apparatus and a text recognition method are provided. A text recognition region is detected by expanding a region based on a user-specified position that is input through a simple manipulation by a user. A text recognition is performed on the detected text recognition region, thereby relieving a user from having to precisely input the text region and ensuring the user's convenience.

Abstract: An apparatus and method for extracting feature points from an image in a multiprocessor system having a plurality of processors, the method including: dividing an original image into a plurality of regions so as to be allocated to a plurality of processors of the multiprocessor system; performing, by the plurality of processors, blurring operations by levels; dividing the images blurred by levels into a plurality of regions to be allocated to the processors and calculating, by the plurality of processors, differences of Gaussian (DoGs); and generating feature point data according to the calculated DoGs. Because a plurality of processors performs the operations of the method, the total time to extract the feature points from the image is significantly reduced.

Abstract: An apparatus and method for processing a frame in consideration of processing capability and power consumption for each core in a multi-core system are provided. To perform a user interface drawing in a multi-core environment, an optimum combination of hardware components capable of operating with the minimum of power consumption while satisfying a requirement of a user may be obtained and a parallel user interface drawing may be performed by use of the optimum combination of hardware components.

Abstract: An apparatus for data processing in a heterogeneous multi-processor environment are provided. The apparatus including an analysis unit configured to analyze 1) operations to be run in connection with data processing and 2) types and a number of processors available for the data processing, a partition unit configured to dynamically partition data into a plurality of data regions having different sizes based on the analyzed operations and operation-specific processor priority information, which is stored in advance of running the operations, and a scheduling unit configured to perform scheduling by allocating operations to be run in the data regions between the available processors.

Abstract: A technique of efficiently improving the processing speed and response time of a user interface (UI) framework in a multi-core environment is provided. According to the technique, it is possible to improve both the throughput and response time of a UI by causing a plurality of workers to process a frame display command.

Abstract: An apparatus and method for parallel processing in consideration of degree of parallelism are provided. One of a task parallelism and a data parallelism is dynamically selected while a job is processed. In response to a task parallelism being selected, a sequential version code is allocated to a core or processor for processing a job. In response to a data parallelism being selected, a parallel version code is allocated to a core a processor for processing a job.

Abstract: A text recognition region detecting apparatus and a text recognition method are provided. A text recognition region is detected by expanding a region based on a user-specified position that is input through a simple manipulation by a user. A text recognition is performed on the detected text recognition region, thereby relieving a user from having to precisely input the text region and ensuring the user's convenience.

Abstract: A panoramic image generating apparatus, including a plurality of sub processors; and a main processor to divide data of an image to be processed to form a panoramic image into a plurality of areas, assign the divided data to a plurality of sub processors, and process the data in parallel. Accordingly, the time required to generate a panoramic image is reduced.

Abstract: An apparatus and method for extracting feature points from an image in a multiprocessor system having a plurality of processors, the method including: dividing an original image into a plurality of regions so as to be allocated to a plurality of processors of the multiprocessor system; performing, by the plurality of processors, blurring operations by levels; dividing the images blurred by levels into a plurality of regions to be allocated to the processors and calculating, by the plurality of processors, differences of Gaussian (DoGs); and generating feature point data according to the calculated DoGs. Because a plurality of processors performs the operations of the method, the total time to extract the feature points from the image is significantly reduced.