Abstract: Provided is a method performed in a terminal for processing an interest message. The method includes receiving a message from a message server after a login event for a user of the terminal occurs, wherein the login event is related to a message service provided by the message server; storing, in response to determining that the received message corresponds to an interest message of the user, the received message in a local storage of the terminal; receiving a search request for the interest message of the user; and searching and providing the interest message of the user through the local storage of the terminal in response to the search request.

Abstract: A receiving device for processing an attention message, the receiving device includes a transmitting/receiving module configured to receive a message, a control module configured to determine whether the received message is an attention message, and to set an attention display flag, and an input/output module configured to display the attention indicator in the chat room in response to the set attention display flag. The message includes an ID of the chat room, an ID of the transmitting device, an ID of the first user, a type of the message, a content of the message, and a transmission time. The control module is configured to determine, based on at least one of the type of the message, the content of the message, and the transmission time, whether the message is the attention message.

Abstract: A non-standard user interface object identification system includes an object candidate extractior that extracts one or more objects from an image, a first similarity analyzer that determines object type candidates of the one or more objects in accordance with similarities between the one or more objects and a standard user interface (UI) element, a second similarity analyzer that selects object type-specific weight values in accordance with layout characteristics of the one or more objects and determines object types of the one or more objects using the object type candidates and the object type-specific weight values, and an object identifier that receives type and characteristic information of a search target object and identifies the search target object in accordance with characteristic information and the object types of the one or more objects.

Abstract: Provided are a method for analyzing quantum vulnerability and a system therefor. The method according to some embodiments may include configuring quantum-vulnerable algorithm detection rule based on a type of encryption algorithm, configuring an analysis level for analyzing a quantum vulnerability of target software, from among a plurality of predefined analysis levels, analyzing the target software based on the configured quantum-vulnerable algorithm detection rule, using an analysis technique corresponding to the configured analysis level, and assessing the quantum vulnerability of the target software based on a result of the analyzing.

Abstract: An apparatus for training a document summarization model includes a token generation unit, a named entity recognition unit, and a model training unit. The token generation unit generates document tokens and summarization tokens. The named entity recognition unit assigns named entity token status to a summarization token, recognized as a named entity through NER, and assigns non-named entity token status to the other tokens. The model training unit obtains feature vectors by inputting the plurality of document tokens into an encoder inside a document summarization model, obtains a first loss related to the named entity token, a second loss related to the other tokens, and a total loss using a weighted value by inputting the feature vectors, the summarization tokens, the named entity token, and the non-named entity token into a decoder inside the document summarization model, and trains the document summarization model on the basis of the total loss.

Abstract: A method performed in a computing device including a processor and a storage medium in which one or more programs configured to be executable by the processor are written includes receiving configuration information for one of a plurality of processes for building a cloud and processing one of the processes based on the received configuration information, the plurality of processes includes one or more sub-processes, and wherein the processing one of the processes includes determining whether to process a sub-process included in one of the processes based on the configuration information, and processing a sub-process determined to be processed as a result of the determination.

Abstract: A method for comparing documents and a system therefor are provided. The method according to some embodiments may include acquiring a first document image and a second document image, extracting a first feature set from the first document image and a second feature set from the second document image through an encoder, generating a correlation feature set by analyzing a correlation between at least part of the first feature set and at least part of the second feature set, and outputting a result of comparison between the first document image and the second document image based on a result of decoding the correlation feature set.

Abstract: An apparatus for automating consulting for cloud migration including one or more processors and a storage medium storing one or more programs configured to be executable by the one or more processors, the one or more processors are configured to analyze a migration method, a type of migration, migration difficulty and a migration effort to migrate resources of an existing computer room for a work system to a cloud, and compute at least one of an architecture of the cloud, a result of comparison of total cost ownership (TCO) for resources of the cloud versus resources of the existing computer room for the work system, and a roadmap for each migration stage when migrating to the cloud based on at least one of the migration method, the type of migration, the migration difficulty and the migration effort.

Abstract: A method for automating cloud building performed in a computing device including a processor and a storage medium in which one or more programs specified to be executed by the processor are recorded, the method including receiving cloud configuration information; determining an operation type based on the received cloud configuration information; extracting one or more processes mapped to the operation type from a plurality of processes in a cloud building process, and generating a pipeline by combining the one or more extracted processes; and executing the pipeline based on the cloud configuration information.

Abstract: A method for providing metadata sharing service may include obtaining a sharing event for a predetermined range path based on a current location of a first target object, determining whether a second original name of a second target object previously registered with a name duplicating with a first original name of the first target object according to the sharing event exists in a sharing table, generating and registering a first unique name different from a second unique name for the second original name of the second target object in the sharing table in response to the existence of a second original name previously registered with a name duplicating with the first original name, and sharing a predetermined range path based on a current location of a first target object of the first unique name according to the sharing event through a virtual drive.

Abstract: A method according to an embodiment of the present disclosure includes obtaining proof data including a photographed image and a challenge code for proving original of the image, generating hash data by using the proof data, generating signature data for the hash data, transmitting the proof data, the hash data, and the signature data to a server, and receiving an access path to an original verification result of the proof data from the server.

Abstract: An apparatus for scheduling a data augmentation technique according to an embodiment includes a data set extractor, a first trainer, an operation extractor, a second trainer, and a schedule determinator. The apparatus may provide a schedule for a data augmentation technique capable of improving the performance of a neural network classification model in a shorter time compared to the related art.

Abstract: Provided are a method for multimodal embedding and a system therefor. The method according to some embodiments may include generating a plurality of patch features for an image sample through an image encoder, wherein the image sample and text sample form a positive pair, generating a plurality of token features for a text sample through a text encoder, softly masking patch features associated with a specific token of the text sample, generating a joint embedding by inputting the masked patch features and the token features into a multimodal encoder, and updating the multimodal encoder by performing an image-text matching (ITM) task based on the joint embedding.

Abstract: A method for solving a problem and a system thereof are provided. The method includes displaying, by a first terminal device, an embedding content search interface, which is included in a content authoring user interface for creating target content to be transmitted, displaying, by the first terminal device, an indicator of embedding content, determined by user input via the embedding content search interface, in an editing area in the content authoring user interface, transmitting, by the first terminal device, a body of the target content and metadata of the embedding content in response to receipt of input for a “Send” button in the content authoring user interface, and displaying, by a second terminal device, received content with the embedding content embedded therein, wherein the embedding content is embedded in the body of the target content by a server system.

Abstract: An apparatus for training a dialogue summary model according to an embodiment includes a parameter transferer configured to transfer one or more learning parameter values of a pre-trained natural language processing model to a sequence-to-sequence-based dialogue summary model, and a model trainer configured to train the dialogue summary model by using the transferred learning parameter values as initial values for learning parameters of each of an encoder and a decoder in the dialogue summary model.

Abstract: A method performed by a computing device for controlling an automated guided vehicle according to an embodiment of the present disclosure includes obtaining information on a movable area including nodes arranged in a grid pattern, obtaining information on a moving path connecting a source node and a destination node existing in the movable area, wherein the moving path includes a plurality of moving nodes, and reserving at least some of the moving nodes located between a current node and the destination node by using information on the current node occupied by an automated guided vehicle according to movement of the automated guided vehicle.

Abstract: A code inspection interface providing method according to an embodiment of this disclosure includes providing a graphical user interface (GUI) for performing code inspection, executing an analysis routine on an inspection target code when the inspection target code is selected through the GUI, and providing the result of executing the analysis routine. The analysis routine may include an operation of extracting an abstract syntax tree includes a plurality of nodes from the inspection target code. A code inspection interface providing method is capable of providing an interface that can analyze a code and detect a security vulnerability in real time regardless of the language version of the code and an apparatus for implementing the method.

Abstract: An apparatus for classifying fake images according to an embodiment of the present disclosure includes an artifact remover configured to receive an input image to generate an artifact-removed image from which artifacts are removed, an artifact image generator configured to generate an artifact image by using a difference between the input image and the artifact removal image, and a determiner configured to determine whether the artifact image is a real image or a fake image by receiving the artifact image.

Abstract: A method of displaying similar chat rooms according to an embodiment of the present disclosure is performed by a user terminal. The method includes, in response to a gesture input received for a specific chat room in a chat room list displayed on a screen, acquiring a list of similar chat rooms having a high degree of similarity with the specific chat room in the chat room list, and displaying the similar chat room list.

Abstract: The present disclosure relates to a secure network communication method and a system therefor. The secure network communication method using a proxy connecting a client and a server according to an embodiment of the present disclosure may include: receiving, from the client, a session encryption key shared for generation of a secure channel between the client and the server; and when a packet encrypted with the session encryption key and transmitted from the client to the server is received, decrypting the encrypted packet with the session encryption key and analyzing the decrypted packet, or forwarding the encrypted packet to the server without change of an encrypted state.