Electronics and Telecommunications Research Institute

Hyeon Jin Kim

Myung Gil Jang

Chung Hee Lee

Yeo Chan Yoon

Hyo Jung Oh

Jeong Mu Heo

Hyun Ki Kim

Mi Ran Choi

Pum Mo Ryu

Soo Myung Park

Yo Han Jo

Yoon Jae Choi

Chang Joon Park

Weon Geun Oh

Ji Hyun Wang

Young Jik Lee

Hyung Keun Jee

Il Hwan Park

Ah Reum Oh

Chang Ki Lee

Chang Ho Jung

Ha Lim Choi

Won Seok Chae

A clustering method includes configuring a network with clustering target objects; collecting significance of the clustering target objects; performing network embedding for outputting a set of vectors representing neighboring objects of the clustering target objects constituting the network using a neural network; and performing clustering on the clustering target objects using the set of vectors and information on each of the clustering target objects, wherein the neural network is trained so that neighboring objects having high significance are output with higher probability.

Clustering method and apparatus using ranking-based network embedding

A method for extracting a person region includes detecting a face from a raw image input in real time; configuring a search range based on the detected face; extracting an outline of a person region by performing preprocessing on an image within the search range; configuring watershed markers on a background and a foreground of the image within the search range based on the extracted outline; performing a watershed transform based on the configured watershed markers; and separating the person region from the raw image using a result of the watershed transform.

Method for extracting person region in image and apparatus using the same

Disclosed are an apparatus, a system, and a method for searching for a power user in social media. The apparatus according to the present invention includes an input unit configured to receive a keyword corresponding to an interested object from a user; a communication unit configured to transmit a search request message including the received keyword and receive a search response message corresponding to the transmitted search request message; a controller configured to, when receiving the search response message, extract a search list in which power users related to the keyword are arranged according to a preset power ranking from the received search response message; a display unit configured to sequentially display the power users related to the keyword received from the user according to the preset power ranking based on the extracted search list; and a storage unit configured to store the extracted search list.

Apparatus, system, and method for searching for power user in social media

Disclosed are an apparatus, a system, and a method for detecting complex issues based on social media analysis according to the present invention. A system for detecting complex issues based on social media analysis according to the present invention includes: a unit issue detecting unit configured to receive a keyword from a user terminal, and to detect per-type unit issues associated with the received keyword; a complex issue detecting unit configured to detect per-type complex issues from the detected per-type unit issues; a complex issue ranking unit configured to analyze the detected per-type complex issues, and to rank the per-type complex issues based on the analysis result; and a complex issue configuring unit configured to configure the ranked per-type complex issues in a predetermined form that enable users to induce a micro trend, and to provide the configured form to a user.

Apparatus, system, and method for detecting complex issues based on social media analysis

An encryption/decryption apparatus and method using an advanced encryption standard (AES) Rijndael algorithm are provided. The apparatus includes a round key operator that performs arithmetic operations on a round key for a first round and first partial round keys of round keys for second to last rounds and generates the round keys for the second to last rounds, and a round executor that performs an encryption or decryption operation using the round key for the first round and the round keys for the second to last rounds.

Encryption/decryption apparatus and method using AES rijndael algorithm

An apparatus and method for efficiently constructing learning data required in statistical methodology used in information retrieval, information extraction, translation, natural language processing, etc. are provided. The method includes the steps of: generating learning models by performing machine learning with respect to learning data; attaching tags to a raw corpus automatically by using the generated learning models to thereby generate learning data candidates; calculating confidence scores of the generated learning data candidates, and then selecting a learning data candidate using the confidence scores; and allowing a user to correct an error in the selected learning data candidate through an interface and adding the error-corrected learning data candidate to the learning data, thereby adding new learning models incrementally.

Apparatus and method for constructing learning data

A surface inspecting apparatus comprises an image achieving unit for achieving an image of a surface of an object; and a controller for providing the symmetry feature of the spot or contaminant by using the magnitude of the intensity gradient and the orientation of the intensity gradient for each pixel of the achieved surface image to thereby detect a spot or contaminant on the surface. The controller detects the spot or contaminant by using a symmetry magnitude map formed by the magnitude of the intensity gradient and the orientation of the intensity gradient of each pixel, after achieving the magnitude of the intensity gradient and the orientation of the intensity gradient by using a gradient operator on the achieved surface image, wherein the symmetry magnitude map provides the internal symmetry feature of the spot or contaminant.

Surface inspecting apparatus and method therefor

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Anyang-si, South Korea

Hyeon Jin Kim