Abstract: Provided is a method performed by at least one processor for sharing a page in a document. The method includes: receiving a request for sharing a page of a document and automatically performing a keyword check for the requested page; generating a token for a keyword, extracted from the requested page as a result of the keyword check, and performing a locking process for the requested page using the token; and determining a target page, among at least one requested page for sharing, and designating a sharing target with which the target page is to be shared, wherein the keyword is any one of one or more words registered in advance.

Abstract: Provided are a method and an apparatus for providing a secure message service. The method according to some embodiments includes inquiring a public key of a counterpart user to be invited to a chat room, generating an encryption key related to the chat room using the inquired public key and a private key of a chat room opening user, and transmitting the encryption key to be delivered to a terminal of the counterpart user.

Abstract: Provided is a method for deciphering obfuscated text for cyber security and an apparatus for the same. The method according to some embodiments includes: converting text including a target character string into an image; recognizing a character string in the image using a text recognition model; and determining that the target character string is an obfuscated character string, based on a similarity between the target character string and the recognized character string being equal to or less than a first reference value.

Abstract: A method for providing an ultra-wideband (UWB) ranging-based service and devices supporting the same are provided. The method according to some embodiments includes synchronizing, by a first device, a first service application of the first device with a second service application of a second device based on synchronization information received from the second device, the second service application of the second device being an application configured to perform an operation for a UWB ranging-based service in association with a service device; and performing, by the first device, the operation for the UWB ranging-based service in association with the service device, based on the synchronized first service application.

Abstract: Provided is a method of managing a target process. The method performed by a process management apparatus includes: generating a reference pattern indicating a normal state based on reference observed data on a process factor measured while the target process is maintained in the normal state; obtaining observed data on the process factor measured for a specified observation period; calculating a dissimilarity between the reference pattern and the observed data; and constructing a regression tree for the target process by using the observed data and the dissimilarity, wherein the process factor is set as an independent variable of the regression tree, and the dissimilarity is set as a dependent variable of the regression tree.

Abstract: A method for training an image classification model according to an embodiment includes training a feature extractor and a rotation angle classifier to predict a rotation angle of each of unlabeled first training images, training the image classification model to predict a label and rotation angle of each of labeled second training images, but predict a uniform label even though an actual rotation angle of each of the second training images is changed, generating a pseudo label based on a training image that satisfy a preset condition among unlabeled candidate images, and training the image classification model to predict a rotation angle of each of the third training images, and predict a label of each of the third training images based on the pseudo label, but predict a uniform label even though an actual rotation angle of each of the third training images is changed.

Abstract: An apparatus for force running of remote support according an embodiment includes a remote support server configured to receive a remote support service request from an administrator, and transmit a generation request of code information for connection to a client to a relay server based on the remote support service request and a relay server configured to generate the code information based on the generation request received from the remote support server, transmit the code information to the client based on a transmission scheme set according to the remote support service request, and relay a remote support service between the client and the remote support server by being connected to the client that has received the code information.

Abstract: A method for solving a problem and a system thereof are provided. The method according to some embodiments includes setting at least one current search node on a search tree corresponding to a solution space of a target problem; selecting candidate search nodes from among child nodes of the at least one current search node, a number of the candidate search nodes being equal to a number of items inferred by a machine-trained model; determining at least one next search node from among the candidate search nodes based on results of search simulation for the candidate search nodes; and determining a solution to the target problem based on a result of a search using the at least one next search node.

Abstract: Provided are a provisioning method for cloud service and a system thereof. The provision method according to some embodiments may include collecting a resource utilization rate of each of a plurality of cloud nodes, receiving a regular instance request from a client, determining whether there is a cloud node among the plurality of cloud nodes that satisfies a first condition, in which the collected resource utilization rate is less than a first threshold value, designating a specific cloud node from among the plurality of cloud nodes based on a determination that there is no cloud node that satisfies the first condition, and terminating at least some of spot instances pre-provisioned on the specific cloud node and provisioning a requested regular instance.

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, 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: A graph embedding method and system thereof are provided. The graph embedding method according to some embodiments includes acquiring a first embedding representation and a second embedding representation of a target graph; changing the second embedding representation by reflecting a specific value into the second embedding representation; and generating an integrated embedding representation by aggregating the first embedding representation and the changed second embedding representation.

Abstract: A method for an image-based eye disease diagnosis according to an embodiment includes receiving a fundus image, determining whether the fundus image is a deep diagnosis target using a deep diagnosis target classification model, and determining whether the fundus image has a disease through a preset deep diagnosis process when a result of the determination shows that the fundus image is the deep diagnosis target, or determining whether the fundus image has a disease by applying the fundus image to a general diagnosis model when the result of the determination shows that the fundus image is not the deep diagnosis target.

Abstract: A locking apparatus according to an embodiment includes an approach detector, a signal transmitter, a measurer, and a controller. The approach detector detects an approach of a user carrying a terminal. The signal transmitter transmits a key authentication signal for authenticating a pre-shared digital key to the terminal using first short-range wireless communication when the approach of the user is detected. The measurer connects a session by generating a security channel with the terminal using second short-range wireless communication and measuring at least one of a distance to and an angle with respect to the terminal when the digital key is authenticated through the key authentication signal. The controller determines whether or not to unlock an access facility in accordance with at least one of the distance to and the angle with respect to the terminal.

Abstract: Methods performed by a computing device for generating Non-Fungible Token (NFT) for a non-digital asset are provided. One of the methods comprises receiving non-digital asset data including media data generated by photographing non-digital asset and additional information, determining whether the media data is generated by photographing a tangible subject, automatically generating an original certificate of non-digital asset data including a result of whether the tangible subject is photographed and the media data, and issuing an NFT for the original certificate.

Abstract: A method for augmenting data according to some embodiments of the present disclosure includes obtaining a score prediction model learned using a first noisy sample of a first class, generating a second noisy sample by adding the noise with the specified distribution to a sample of a second class, and generating a fake sample of the first class from the second noisy sample using a score for the second noisy sample predicted through the score prediction model.

Abstract: According to one embodiment, An apparatus for preprocessing a security log includes a field divider configured to divide a character string of a security log into a plurality of fields on the basis of a structure of the security log, an ASCII code converter configured to convert a character string included in each of the plurality of divided fields into ASCII codes, and a vector data generator configured to generate vector data for each of the plurality of divided fields using the converted ASCII codes.

Abstract: A method and apparatus that recommends a feature from a data set. The method includes performing a first conversion on the data set including one target variable and a plurality of feature variables by converting a missing value for each of the feature variables into a preset constant, executing a first algorithm to determine a level of redundancy of the plurality of feature variables, using the data set converted by the first conversion and producing first recommendation information that includes a predetermined number of feature variables selected based on a result of the executing the first algorithm.

Abstract: An apparatus for managing an online conference according to one embodiment includes a group identification information receiver configured to receive group identification information regarding an offline conference room from a user terminal of a user who intends to attend an online conference in the offline conference room, an online conference identifier configured to identify an online conference connected to the offline conference room based on the received group identification information, and an online conference manager configured to transmit online conference entry information for attending the identified online conference to the user terminal.

Abstract: An apparatus of labeling for object detection according to an embodiment of the present disclosure includes an image selector that determines a plurality of labeling target images from among a plurality of unlabeled images, and determines a labeling order of the plurality of labeling target images, a feedback obtainer that obtains label inspection information on the plurality of labeling target images from a user, and a model trainer that learns the label inspection information input from the user by using the labeling target images, obtains a pseudo label for supervised learning based on a learning result using the label inspection information, and re-determines the labeling order of the labeling target images based on the pseudo label.

Abstract: Methods and apparatuses for accurately determining a model, which is to be the basis of transfer learning, among a plurality of source models, are provided. According to an embodiment, an apparatus for determining a base model to be used for transfer learning to a target domain is provided. The apparatus comprises a memory which comprises one or more instructions and a processor which executes the instructions to construct a neural network model for measuring suitability of a plurality of pre-trained source models, measure the suitability of each of the source models by inputting data of the target domain to the neural network model, and determine the base model to be used for the transfer learning among the source models based on the suitability.