Abstract: An operation method of a relay node may include: receiving, from a first communication node, first data composed of n bits; receiving, from a second communication node, second data composed of m bits; in response to determining that n is greater than m, generating first T-data of m bits excluding (n-m) bits from the n-bits of the first data and first R-data of (n-m) bits; generating third data by performing a network coding operation on the first T-data and the second data; transmitting the third data to the first communication node; and transmitting the third data and the first R-data to the second communication node.

Abstract: An apparatus for image transformation for transforming a first medical image into a second medical image based on an artificial neural network technology includes a preprocessing module that receives the first medical image and second medical image obtained by photographing the same part of a body using different photographing techniques and performs preprocessing on the first and second medical images, and an artificial neural network module that receives the preprocessed first medical image and second medical image, respectively, and transforms the first medical image into a second medical image.

Abstract: A learning apparatus for image generation includes a preprocessing module configured to receive text for image generation and generate a sentence feature vector and a word feature vector from the received text, a first generative adversarial network (GAN) configured to receive the sentence feature vector from the preprocessing module and generate an initial image based on the received sentence feature vector, and a second generative adversarial network configured to receive the word feature vector generated by the preprocessing module and the initial image generated by the first generative adversarial network and generate a final image based on the word feature vector and the initial image.

Abstract: A learning apparatus for image generation includes a preprocessing module configured to receive text for image generation and generate a sentence feature vector and a word feature vector from the received text, a first generative adversarial network (GAN) configured to receive the sentence feature vector from the preprocessing module and generate an initial image based on the received sentence feature vector, and a second generative adversarial network configured to receive the word feature vector generated by the preprocessing module and the initial image generated by the first generative adversarial network and generate a final image based on the word feature vector and the initial image.

Abstract: A learning apparatus for creating an emotion expression video according to an embodiment disclosed include first generative adversarial networks (GAN) that receive text for creating an emotion expression video, extract vector information by performing embedding on the input text, and create an image based on the extracted vector information, and second generative adversarial networks that receive an emotion expression image and a frame of comparison video, and create a frame of emotion expression video from the emotion expression image and the frame of comparison video.

Abstract: An apparatus for image segmentation according to an embodiment includes an acquirer configured to acquire one or more images in which an object is photographed and a segmentation performer configured to perform segmentation on the one or more images using a segmentation model which is deep learned through a plurality of images, in which the segmentation model is a U-Net-based model including a first type module based on depth-wise separable convolution (DSC) and a second type module based on global context network (GCNet).

Abstract: A learning apparatus for creating an emotion expression video according to an embodiment disclosed include first generative adversarial networks (GAN) that receive text for creating an emotion expression video, extract vector information by performing embedding on the input text, and create an image based on the extracted vector information, and second generative adversarial networks that receive an emotion expression image and a frame of comparison video, and create a frame of emotion expression video from the emotion expression image and the frame of comparison video.

Abstract: A Join method in a database management system according to an embodiment of the invention comprises: in a memory of a storage medium, which processes data stored within a computer memory, when a new record is added to a bucket of a first table including only a basic key of another table, dividing the bucket in a case where there is no free space in the bucket; and on the basis of a fact that at least one bit of each of the new record and a first record having existed in the bucket before the dividing thereof is different from an upper bit thereof, storing one of the first record and the new record in the divided bucket.

Abstract: A method of data alignment according to an embodiment of the present invention is performed by a computing device including one or more processors and a memory in which one or more programs to be executed by the one or more processors are stored, and the method includes counting the number of target data to be aligned, calculating a distribution of the target data, determining the number of bits of a bucket and the number of slots of the bucket for aligning the target data on the basis of the number of target data and the distribution of the target data, and generating buckets corresponding to the determined numbers of bits and slots and allocating the target data to the buckets to align the target data.

Abstract: The present disclosure relates to a method for hash collision detection based on the sorting unit of the bucket designed to reduce the future search time by pre-aligning the database in the bucket and to enhance the efficiency in a search within the database. The present disclosure, a method for hash collision detection based on the sorting unit of the bucket using conventional separate chaining method, comprises aligning records in a single bucket of a directory in ascending order or descending order and maintaining the alignment of records in the bucket when new records are added to the directory.

Abstract: A non-volatile memory includes: at least one parent node; and at least one child node that stores a data object and has a variable size of n multiple of the parent node, n being a natural number, when a target child node to insert at least one new data object is fully filled, wherein the data objects of the target child node are split and reinserted into newly created at least one child node.

Abstract: A Join method in a database management system according to an embodiment of the invention comprises: in a memory of a storage medium, which processes data stored within a computer memory, when a new record is added to a bucket of a first table including only a basic key of another table, dividing the bucket in a case where there is no free space in the bucket; and on the basis of a fact that at least one bit of each of the new record and a first record having existed in the bucket before the dividing thereof is different from an upper bit thereof, storing one of the first record and the new record in the divided bucket.

Abstract: A method for analyzing digital contents is disclosed. According to an embodiment, a plurality of information sources are extracted from digital contents associated with a specific topic, an information source network is created on the basis of the plurality of information sources, and at least one of quantitative and qualitative analyses for the corresponding topic is performed on the basis of the information source network.

Abstract: A non-volatile memory includes: at least one parent node; and at least one child node that stores a data object and has a variable size of n multiple of the parent node, n being a natural number, when a target child node to insert at least one new data object is fully filled, wherein the data objects of the target child node are split and reinserted into newly created at least one child node.

Abstract: A memory device may include a non-volatile memory and non-volatile RAM. The non-volatile memory may include a data block and a metadata block. Metadata information with respect to the data block may be included in the metadata block. A portion of metadata with respect to the data block or the metadata with respect to the metadata block may be stored in the non-volatile RAM.

Abstract: The present application relates to a heap sorting method based on arrangement and apparatus which can improve the heap sorting conducting speed through reducing access (I/O) frequency of the external memory when conducting heap sorting through storing binary data in the basic access unit of the external memory device in reference to the subtree unit.

Abstract: The present disclosure relates to a method for hash collision detection based on the sorting unit of the bucket designed to reduce the future search time by pre-aligning the database in the bucket and to enhance the efficiency in a search within the database. The present disclosure, a method for hash collision detection based on the sorting unit of the bucket using conventional separate chaining method, comprises aligning records in a single bucket of a directory in ascending order or descending order and maintaining the alignment of records in the bucket when new records are added to the directory.

Abstract: The present application relates to a heap sorting method based on arrangement and apparatus which can improve the heap sorting conducting speed through reducing access (I/O) frequency of the external memory when conducting heap sorting through storing binary data in the basic access unit of the external memory device in reference to the subtree unit.