Abstract: A method for interconnecting data between a plurality of blockchain networks according to an embodiment of the present invention includes receiving a request of an interconnecting transaction for interconnecting data between a plurality of blockchain networks, querying information of an ongoing or scheduled transaction through the plurality of blockchain networks in response to the request, and selectively determining any one of a plurality of interconnecting schemes as an interconnecting scheme of the interconnecting transaction with reference to the queried information, and performing the interconnecting transaction according to the determined interconnecting scheme.

Abstract: An apparatus includes a modified image generator generating modified images by modifying each unlabeled image, a pre-trainer to generate a feature vector for each modified image by using an artificial neural network-based encoder and train the encoder based on the feature vector for each modified image, a pseudo-label generator to generate a feature vector for each unlabeled training image, cluster the training images based on the feature vector for each training image, and generate a pseudo-label for at least one training image among the training images based on the clustering result, and a further trainer to generate a predicted label by using the trained encoder and a classification model including a classifier to generate a predicted label for an image input to the trained encoder based on a feature vector, and train the classification model based on the pseudo-label and predicted label for the at least one training image.

Abstract: A method and device for executing a workflow includes functions written in a heterogeneous programming language. The method for executing heterogeneous language functions includes obtaining a workflow that includes a call for a first function written in a first programming language and a call for a second function written in a second programming language, wherein input data of the second function includes output data of the first function, and setting, in response to completing execution of the first function, the output data of the first function in a format capable of being processed in the second programming language.

Abstract: A method of generating a secret key according to one embodiment includes generating a share of each of a user and a plurality of other users for a secret key of the user, providing the share of each of the plurality of other users to a user terminal of each of the plurality of other users, receiving a share of the user for a secret key of each of the plurality of other users from the user terminal of each of the plurality of other users, and generating a new secret key of the user using the share of the user for the secret key of the user and the shares of the user for the secret key of each of the plurality of other users.

Abstract: A method of optimizing firewall policies according to some embodiments of the present disclosure includes obtaining a traffic log of network traffic passing through a firewall subject to a policy set including a plurality of firewall policies, generating training data by using the traffic log, clustering the training data, generating a rule set including a plurality of rules by using a result of the clustering, generating candidate unit policies by using the rule set, calculating a coverage score indicating a degree to which the candidate unit policies cover firewall policies of the policy set, and repeating the generating of the candidate unit policies and the calculating of the coverage score until the coverage score satisfies a criterion.

Abstract: The present disclosure relates to document quality-based image pre-processing that measures, for each item, the quality of an input document image that is to be analyzed and omits a part or the entirety of a pre-processing process, or performs an image pre-processing process to which an appropriate algorithm is applied, so that an unnecessary operation may be decreased and a processing time may be reduced, and a higher character recognition rate may be obtained than an image pre-processing process uniformly applied. A document quality-based image pre-processing method according to an embodiment of the present disclosure may be a document quality-based image pre-processing method performed by a processor in an apparatus, the method including measuring a document quality of an input document image, classifying the document quality, and performing image pre-processing corresponding to the document quality classified for the document image.

Abstract: Provided is a method for navigating thread-type messages performed by a user terminal. The method comprises extracting a plurality of core elements based on information collected from the thread-type messages in which a plurality of conversation messages are grouped, generating thumbnail configuration information on the thread-type messages using the plurality of core elements, and displaying a thumbnail view based on the thumbnail configuration information, the displaying being based on a user input for the thread-type message.

Abstract: The present disclosure relates to a method for displaying a document recognition result and a document recognition apparatus using same, wherein a method performed by a processor in a computing apparatus for displaying a document recognition result according to an embodiment of the present disclosure may include: extracting text from an input document image and matching multiple key values and values included in the text to generate key-value pairs; on the basis of a configured output item, extracting a key-value pair corresponding to the output item from the document image; and adding a highlight object to an area corresponding to the extracted key-value pair in the document image to generate a first image and displaying the first image.

Abstract: The disclosure relates to a data augmentation method for document classification based on artificial intelligence, which includes: obtaining a plurality of document data; measuring quality information of the plurality of document data; classifying the plurality of document data by quality using the measured quality information, and detecting a distribution of the plurality of document data classified by quality; and augmenting document data corresponding to a specific quality group based on the detected document data distribution by quality.

Abstract: The present disclosure relates to a text-based document classification method and a document classification device. A text-based document classification method according to an embodiment of the present disclosure is performed by a processor inside a computing device, and may include: extracting, from a document image that has been input, words included in the document image; generating, based on a degree of similarity between the words, a word set including a configured number of words; generating a word set image by individually turning the word set into an image; extracting an important keyword used for document classification among words included in the word set image; and classifying a type of the document image by using the important keyword.

Abstract: A method for displaying an unread message according to some embodiments of the present disclosure includes identifying a first unread message of a first chat room in which a user using the computing device participates, and a second unread message of a second chat room in which the user participates, wherein the first chat room and the second chat room are different, and the first unread message and the second unread message are different and simultaneously displaying the first unread message and the second unread message on one screen in response to the user's selection input to a collect view button.

Abstract: The present disclosure relates to a document classification method and a document classification device. A document classification method performed by a processor inside a computing device according to an embodiment of the present disclosure may include: obtaining a predicted dimension which is a dimension of a feature vector necessary to classify a document image that has been input, through a learned dimension prediction model; generating a feature vector of the document image, through a feature extraction model based on the predicted dimension; and identifying a document type corresponding to the document image on the basis of the generated feature vector.

Abstract: Disclosed is a text recognition method and apparatus. A text recognition post-processing method for reflecting user post-correction performed by a processor in an apparatus, the text recognition post-processing method includes training a deep learning post-processing model based on post-correction data comprising a partial image including post-correction target text and post-correction text when there is user post-correction for a text recognition result of an input image; and post-processing a text recognition result of another input image by applying the trained deep learning post-processing model.

Abstract: The present disclosure relates to a method, an apparatus, a system, and a computer program for correcting table coordinate information. The present disclosure discloses a method for correcting table coordinate information performed by one or more processors in an apparatus, which may include: producing a list of first coordinate elements for a first axis or second coordinate elements for a second axis on the basis of coordinate information of a plurality of cells included in a table of a document image; performing grouping on the list of first coordinate elements or the list of second coordinate elements; and correcting the coordinate information of the cells of the table on the basis of the first coordinate elements or the second coordinate elements on which the grouping was performed.

Abstract: Disclosed are a method for robotic processing automation. The method for robotic processing automation includes transmitting to a remote apparatus, a screen stream request for a target program executed in the remote apparatus, receiving from the remote apparatus, a screen stream corresponding to the screen stream request and displaying the screen stream corresponding to the screen stream request, monitoring whether a user event occurs in the displayed screen stream, transmitting to the remote apparatus, when the user event occurs, an information inquiry request for an object related to the user event, receiving from the remote apparatus, object-related information corresponding to the information inquiry request, and generating an automation script for automatically executing the target program based on at least one of the screen stream or the object-related information.

Abstract: The apparatus includes a section extraction module configured to receive an automation scenario including a plurality of sections, and to extract one or more sections of a plurality of job types, from among the plurality of sections, the one or more sections being executable in parallel, a section optimization module configured to generate a parallel execution section list by sorting the one or more sections based on priorities predetermined for the plurality of job types and a job scheduler configured to generate an idle bot list including an idle bot having an idle state between an execution start time and an execution end time of the automation scenario, and to match the idle bot included in the idle bot list to each of the one or more sections included in the parallel execution section list with reference to the at least one expected execution time period and the priorities.

Abstract: A method of generating a cryptographic algorithm according to one embodiment of the present disclosure includes generating one or more key tables on the basis of a seed value; generating a first transformation function that converts an input bit string, which is input to one of input branches of a Feistel structure, into a first random bit string having a length that extends beyond a length of the input bit string; generating a second transformation function that converts a second random bit string generated by referencing the one or more key tables into a third random bit string having a length that is the same as the length of the input bit string; and generating a block cryptographic algorithm of a Feistel structure which includes a round function to which the one or more key tables, the first transformation function, and the second transformation function are applied.

Abstract: A method of generating a cryptographic algorithm includes generating at least one key table on the basis of a seed value; generating, by using a round tweak bit string and an input bit string that is input to one of input branches of a Feistel structure, a first transformation function converting the input bit string into a first random bit string having a length that extends beyond a length of the input bit string, generating a second transformation function converting a second random bit string generated by referencing the one or more key tables into a third random bit string having a length that is the same as the length of the input bit string, and generating a block cryptographic algorithm of a Feistel structure which includes a round function to which the one or more key tables, the first transformation function, and the second transformation function are applied.

Abstract: A method for distributing an application for an edge computing device performed by a computing device according to an embodiment of the present invention includes selecting a cluster including two or more edge devices from among a plurality of edge devices, distributing a first application to a second edge device included in the cluster, modifying routing information such that a service request incoming to a first edge device included in the cluster is transmitted to the second edge device, and replacing the first application running in the first edge device with a second application.

Abstract: An apparatus for reading an image executes operations including receiving a plurality of images for a same subject from a photographing device, obtaining a screen division value related to the plurality of images, checking focused sections of the plurality of images based on the obtained screen division value, and determining type of the plurality of images based on a result of checking the focused sections. According to the apparatus, it can be determined whether an image is actually photographed without a separate ToF module.