Electronics and Telecommunications Research Institute

Won Joo Park

Sun Joong Kim

Sang Yun Lee

Jeong Woo Son

Seung Hee Kim

Sang Kwon Kim

Hyun Woo Lee

Won Geun Ryu

Jong Soo Jang

Yong Tae Lee

Sung Won Sohn

Jong Hyun Kim

Jong Hyun Park

Jung Chan Na

Chi Yoon Jeong

Hyun Joo Kim

Young Soo Park

Geon Lyang Kim

Seon Gyoung Sohn

Hyo Chan Bang

Woo Sug Jung

Beom Hwan Chang

Soo Hyung Lee

Dong Il Seo

Myung Sun Baek

Min Ho Han

Jong Ho Ryu

Youn Seo Jeong

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.

Method and apparatus for improving performance of classification on the basis of mixed sampling

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.

Crime type inference system and method based on text data

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. The image search module of the image reconstruction server automatically generates an ontology search query sentence, such as SPARQL, by using a result of natural language processing, and searches the image ontology by using the generated query sentence.

System for creating interactive media and method of operating the same

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.

Method and apparatus for generating title and keyframe of video

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.

Apparatus and method for tracking temporal variation of video content context using dynamically generated metadata

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.

Apparatus and method for tagging topic to content

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.

Apparatus and method for detecting malicious mobile app

There are provided a network security state visualization device and method, the device including: a security event collector collecting original security event information from network security apparatuses; a security event analyzer analyzing the original security event information collected by the security event collector and extracting characteristic data corresponding to a security event; and a three-dimensional visualization display unit visualizing a correlation between the characteristic data extracted by the security event analyzer as a three-dimensional screen to be displayed.

Method and apparatus for visualizing network security state

A method for analyzing a security grade of an information property, and more particularly, a method by which a security grade (a risk degree in security) is analyzed objectively and quantitatively such that risk degree management of an information property can be efficiently performed, is provided. The method for analyzing a security grade of an information property includes: selecting an information property as an object of security grade analysis, among information properties for which risk degree analysis and importance evaluation in managerial, physical, and technological aspects are performed; calculating the property risk degree of the selected property based on the weighted mean of risk degrees and importance evaluation; and mapping the weighted mean of the risk degree and the importance on a 2-dimensional plane having the X-axis indicating the weighted mean of a risk degree and the Y-axis indicating importance, and based on the appearing result, determining the priority of a safeguard.

Method for analyzing security grade of information property

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Daejeon, South Korea

Won Joo Park