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: 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 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: 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.

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 apparatuses for managing access to a file stored in a remote location includes detecting an attempt for a user terminal to access the file stored in the remote location, determining a location where the file attempted to be access is to be opened, in response to a determination that the location where the file is to be opened is remote, opening the file and providing a content of the opened file to the user terminal by a file management server and in response to a determination that the location where the file is to be opened is local, processing the file to be downloaded to the user terminal by the file management server.

Abstract: A method for managing an application in a short-range communication device according to some embodiments of the present disclosure includes receiving application installation request information from an administrator of the short-range communication device, generating authentication information for installing the application by using the received application installation request information, requesting a first server to verify the authentication information, downloading application installation data based on a verification of the authentication information, and installing the application in an application platform region of the short-range communication device using the application installation data, and installing an applet for interworking with the application in a secure element of the short-range communication device.

Abstract: A blockchain based data management method performed by a computing device according to an embodiment of the present disclosure includes recording a deletion event for off-chain data and time information of the deletion event in a blockchain network, and selectively deleting the off-chain data based on a validity verification result calculated for the time information, wherein the validity verification result is calculated using a time-consensus algorithm of the blockchain network.

Abstract: An apparatus is for unsupervised domain adaptation for allowing a deep learning model with supervised learning on a source domain completed to be subjected to unsupervised domain adaptation to a target domain. The apparatus includes a first learning unit to perform a forward pass by inputting a pair (xsi, ysi) of first data xsi of the source domain and a label ysi for each of the first data and second data xTj belonging to the target domain, and insert a dropout following a Bernoulli distribution into the deep learning model in performing the forward pass, and a second learning unit to perform a back propagation to minimize uncertainty about the learning parameter of the deep learning model by using a predicted value for each class output through the forward pass and the label ysi, and an uncertainty vector for the second data xTj output through the forward pass as inputs.

Abstract: A synthetic data generation apparatus according to an embodiment includes a generator for generating synthetic data from an input value, a first discriminator learned to distinguish between actual data and the synthetic data, a second discriminator learned to distinguish between the actual data and the synthetic data while satisfying differential privacy, and a third discriminator learned to distinguish between first synthetic data which is output from the generator learned by the first discriminator and second synthetic data which is output from the generator learned by the second discriminator.

Abstract: A system for a remote support according an embodiment includes a web viewer configured to receive a request for execution of a remote support service from a logged-in administrator, a web application server configured to receive a request for generation of a connection space for the remote support service from the web viewer and generate a first connection space and a first connection code for identifying the first connection space based on the request for generation, a relay server configured to receive the first connection code, generate a second connection space in which the first connection code is stored, and receive a request for provision of the remote support service from a mobile terminal, and a message broker configured to mediate a plurality of message queues between the first connection space and the second connection space for the remote support service between the web viewer and the mobile terminal.

Abstract: An apparatus for document recognition according to an embodiment includes a document type analyzer that analyzes a type of a recognition target document based on document feature vector extracted from one or more partial images obtained by color space conversion of one or more partial regions of the recognition target document, and an information extractor that extracts value information from one or more information search images organized in a grid form based on a position of key information of the recognition target document.

Abstract: A method performed by a computing device for controlling a P2P connection according to an embodiment of the present disclosure includes obtaining network information of a current path for transmitting and receiving data, calculating requested data quality of the current path by using the network information, and changing a network path to an alternative path by using previously stored data quality history information of the alternative path when a difference between a predetermined highest data quality and the requested data quality of the current path is equal to or greater than a reference value.

Abstract: A method for clustering based on unsupervised learning according to an embodiment of the invention enables clustering for newly generated patterns and is robust against noise, and does not require tagging for training data. According to one or more embodiments of the invention, noise is accurately removed using three-dimensional stacked spatial auto-correlation, and multivariate spatial probability distribution values and polar coordinate system spatial probability distribution values are used as learning features for clustering model generation, making them robust to noise, rotation, and fine unusual shapes. In addition, clusters resulting from clustering are classified into multi-level clusters, and stochastic automatic evaluation of normal/defect clusters is possible only with measurement data without a label.

Abstract: An apparatus for managing a security policy of a firewall according to an embodiment includes a rule request module that receives one or more requested rules to be applied to a firewall, a rule merge module that merges a pre-applied rule of the firewall and the one or more requested rules when the number of rules applied to the firewall exceeds a maximum number of rule registrations of the firewall due to the requested rule, and a firewall interface module that receives the pre-applied rule from the firewall and provides the pre-applied rule to the rule merge module, and re-registers a merged rule merged through the rule merge module in the firewall, and the rule merge module is configured to merge the pre-applied rule and the one or more requested rules so that a security vulnerable space occurring due to the merging is minimized.

Abstract: A method for training a deep neural network according to an embodiment includes training a deep neural network model using a first data set including a plurality of labeled data and a second data set including a plurality of unlabeled data, assigning a ground-truth label value to some of the plurality of unlabeled data, updating the first data set and the second data set such that the data to which the ground-truth label value is assigned is included in the first data set, and further training the deep neural network model using the updated first data set and the updated second data set.

Abstract: A blockchain-based data distribution management method according to an embodiment is performed by a computing device. The method includes generating a plurality of shards by fragmenting a first information, requesting a first block event for distributed storage of the plurality of shards in a plurality of off-chain storages to a blockchain network, and transmitting the plurality of shards to the plurality of off-chain storages, wherein a second information indicating a history of the plurality of shards distributed and stored in the plurality of off-chain storages is recorded in the blockchain network through the first block event, wherein when a predetermined number or more of shards among the plurality of shards are collected, the first information is restored from the collected predetermined number or more of shards.