Abstract: A method of improving performance of classification on the basis of mixed sampling is applied. The present invention is directed to providing a method and apparatus for improving the performance of classification on the basis of mixed sampling that are capable of, when learning a model that classifies types using deep learning by dividing the entire data set and using the divided data set for training, validation, and testing, applying different sampling techniques by types of data according to the characteristics of the training data in order to improve the classification performance.

Abstract: A crime type inference system based on text data, may include: a keywords dictionary construction unit configured to receive crime source data, and generate a crime type keywords dictionary by extracting crime keywords; a data set construction unit configured to generate a dataset for crime type learning by using the crime source data and the keywords dictionary; a crime type prediction model training unit configured to generate a crime type prediction model by using the dataset, and train the crime type prediction model; and a crime type inference unit configured to infer a crime type by using new crime data.

Abstract: A crime type inference system based on text data, may include: a keywords dictionary construction unit configured to receive crime source data, and generate a crime type keywords dictionary by extracting crime keywords; a data set construction unit configured to generate a dataset for crime type learning by using the crime source data and the keywords dictionary; a crime type prediction model training unit configured to generate a crime type prediction model by using the dataset, and train the crime type prediction model; and a crime type inference unit configured to infer a crime type by using new crime data.

Abstract: A method of improving performance of classification on the basis of mixed sampling is applied. The present invention is directed to providing a method and apparatus for improving the performance of classification on the basis of mixed sampling that are capable of, when learning a model that classifies types using deep learning by dividing the entire data set and using the divided data set for training, validation, and testing, applying different sampling techniques by types of data according to the characteristics of the training data in order to improve the classification performance.

Abstract: A critical dimension measurement system includes a voltage measurement circuit, a control circuit, and a critical dimension measurement circuit. The voltage measurement circuit may measure potentials of mask patterns of a photomask. The control circuit may include an information storage circuit for storing distribution information on the potentials of the mask patterns, measured by the voltage measurement circuit, and information on layout patterns corresponding to the mask patterns of the photomask. The critical dimension measurement circuit may be operated, by the control circuit, in a first measurement mode and a second measurement mode running for a shorter time than the first measurement mode, and measure critical dimensions of the mask patterns.

Abstract: The present invention relates to an emergency reporting system and method for the socially disadvantaged. The emergency reporting system for the socially disadvantaged according to the present invention includes a user terminal configured to receive an emergency report input in a preset manner according to environment information set by the socially disadvantaged, generate an emergency report message, and transmit the emergency report message, and a server configured to receive the emergency report message and transmit a dispatch notification signal.

Abstract: A technology for allowing anyone to easily create interactive media capable of easily recognizing a user interaction by using a stored image is provided. A system according to the present invention includes an image reconstruction server, an image ontology, and an image repository. The image reconstruction server includes an image reconstruction controller, a natural language processing module, and an image search module. The image reconstruction controller of the image reconstruction server receives a scenario based on a natural language from a user and searches for images desired by the user by using the natural language processing module, the image search module, and the image repository. The natural language processing module of the image reconstruction server performs a morphological analysis and a syntax analysis on the scenario input by the user as a preliminary operation for the search of the image ontology.

Abstract: An electronic device includes: a communication circuit that communicates with an electronic device; a memory which stores crime term dictionary information and at least one instruction; and a processor functionally connected to the communication circuit and the memory, wherein the processor executes the at least one instruction to: collect crime-related documents from the external electronic device during a first period through the communication circuit; extract crime-related words included in the crime-related documents on the basis of the crime term dictionary information; group the crime-related words on the basis of a designated online non-parametric topic modeling technique to generate topic sets; identify crime types each corresponding to one of the topic sets; and map the crime types to the topic sets and store the topic sets mapped to the crime types in the memory in association with the first period.

Abstract: A critical dimension measurement system includes a voltage measurement circuit, a control circuit, and a critical dimension measurement circuit. The voltage measurement circuit may measure potentials of mask patterns of a photomask. The control circuit may include an information storage circuit for storing distribution information on the potentials of the mask patterns, measured by the voltage measurement circuit, and information on layout patterns corresponding to the mask patterns of the photomask. The critical dimension measurement circuit may be operated, by the control circuit, in a first measurement mode and a second measurement mode running for a shorter time than the first measurement mode, and measure critical dimensions of the mask patterns.

Abstract: A critical dimension measurement system includes a voltage measurement circuit, a control circuit, and a critical dimension measurement circuit. The voltage measurement circuit may measure potentials of mask patterns of a photomask. The control circuit may include an information storage circuit for storing distribution information on the potentials of the mask patterns, measured by the voltage measurement circuit, and information on layout patterns corresponding to the mask patterns of the photomask. The critical dimension measurement circuit may be operated, by the control circuit, in a first measurement mode and a second measurement mode running for a shorter time than the first measurement mode, and measure critical dimensions of the mask patterns.

Abstract: Disclosed is a method and apparatus for generating a title and a keyframe of a video. According to an embodiment of the present disclosure, the method includes: selecting a main subtitle by analyzing subtitles of the video; selecting the keyframe corresponding to the main subtitle; extracting content information of the keyframe by analyzing the keyframe; generating the title of the video using metadata of the video, the main subtitle, and the content information of the keyframe; and outputting the title and the keyframe of the video.

Abstract: There are provided an apparatus and method for tracking temporal variation of a video content context using dynamically generated metadata, wherein the method includes generating static metadata on the basis of internal data held during an initial publication of video content and tagging the generated static metadata to the video content, collecting external data related to the video content generated after the video content is published, generating dynamic metadata related to the video content on the basis of the collected external data and tagging the generated dynamic metadata to the video content, repeating regeneration and tagging of the dynamic metadata with an elapse of time, tracking a change in content of the dynamic metadata, and generating and providing a trend analysis report corresponding to a result of tracking the change in the content.

Abstract: Disclosed is an apparatus and method for tagging a topic to content. The apparatus may include an unstructured data-based topic generator configured to generate a topic model including an unstructured data-based topic based on content and unstructured data, a viewer group analyzer configured to analyze a characteristic of a viewer group including a viewer of the content based on a social network of the viewer and viewing situation information of the viewer, a multifaceted topic generator configured to generate a multifaceted topic based on the topic model and the characteristic of the viewer group, a content divider configured to divide the content into a plurality of scenes, and a tagger configured to tag the multifaceted topic to the scenes.

Abstract: An apparatus for detecting a malicious app. The apparatus may include a collector to collect a mobile app, a static analyzer to extract basic information from the collected mobile app, analyze the basic information of the extracted mobile app, and generate a call flow graph (CFG) of the mobile app, a dynamic analyzer to execute the collected mobile app, expand the CFG of the mobile app, generated by the static analyzer, to a dynamic action-based CFG, and determine a similarity between the expanded CFG and a flow graph that performs a malicious action, and a malicious app determiner to determine whether the collected mobile app is malicious by analyzing the basic information, the CFG, the call flow graph, and the similarity.

Abstract: Disclosed is a method and apparatus for generating a title and a keyframe of a video. According to an embodiment of the present disclosure, the method includes: selecting a main subtitle by analyzing subtitles of the video; selecting the keyframe corresponding to the main subtitle; extracting content information of the keyframe by analyzing the keyframe; generating the title of the video using metadata of the video, the main subtitle, and the content information of the keyframe; and outputting the title and the keyframe of the video.

Abstract: A critical dimension measurement system includes a voltage measurement circuit, a control circuit, and a critical dimension measurement circuit. The voltage measurement circuit may measure potentials of mask patterns of a photomask. The control circuit may include an information storage circuit for storing distribution information on the potentials of the mask patterns, measured by the voltage measurement circuit, and information on layout patterns corresponding to the mask patterns of the photomask. The critical dimension measurement circuit may be operated, by the control circuit, in a first measurement mode and a second measurement mode running for a shorter time than the first measurement mode, and measure critical dimensions of the mask patterns.

Abstract: Provided is a method of authorizing a video scene and metadata for providing a GUI screen provided to a user for authorizing the video scene and the metadata. The method includes generating a GUI screen configuration for an input of data including a video, sound, subtitles, and a script, generating a GUI screen configuration for extracting and editing shots from the data, generating a GUI screen configuration for generating and editing scenes, based on the shots, generating a GUI screen configuration for automatically generating and editing metadata of the scenes, and generating a GUI screen configuration for storing the scenes and the metadata in a database.

Abstract: There are provided an apparatus and method for tracking temporal variation of a video content context using dynamically generated metadata, wherein the method includes generating static metadata on the basis of internal data held during an initial publication of video content and tagging the generated static metadata to the video content, collecting external data related to the video content generated after the video content is published, generating dynamic metadata related to the video content on the basis of the collected external data and tagging the generated dynamic metadata to the video content, repeating regeneration and tagging of the dynamic metadata with an elapse of time, tracking a change in content of the dynamic metadata, and generating and providing a trend analysis report corresponding to a result of tracking the change in the content.

Abstract: A technology for allowing anyone to easily create interactive media capable of easily recognizing a user interaction by using a stored image is provided. A system according to the present invention includes an image reconstruction server, an image ontology, and an image repository. The image reconstruction server includes an image reconstruction controller, a natural language processing module, and an image search module. The image reconstruction controller of the image reconstruction server receives a scenario based on a natural language from a user and searches for images desired by the user by using the natural language processing module, the image search module, and the image repository. The natural language processing module of the image reconstruction server performs a morphological analysis and a syntax analysis on the scenario input by the user as a preliminary operation for the search of the image ontology.

Abstract: An apparatus for detecting a malicious app. The apparatus may include a collector to collect a mobile app, a static analyzer to extract basic information from the collected mobile app, analyze the basic information of the extracted mobile app, and generate a call flow graph (CFG) of the mobile app, a dynamic analyzer to execute the collected mobile app, expand the CFG of the mobile app, generated by the static analyzer, to a dynamic action-based CFG, and determine a similarity between the expanded CFG and a flow graph that performs a malicious action, and a malicious app determiner to determine whether the collected mobile app is malicious by analyzing the basic information, the CFG, the call flow graph, and the similarity.