Electronics and Telecommunications Research Institute

Hang Kee Kim

Chang Joon Park

Ju Young Kim

Ki Hong Kim

Jin Ho Kim

Hye Mi Kim

Hun Joo Lee

Seong Won Ryu

Kang Min Sohn

Ki Suk Lee

Dae Hwan Kim

Dong Sik Jo

The present disclosure provides a medical image analysis method and apparatus. The medical image analysis method according to an exemplary embodiment includes: receiving a frontal image of a spine; separating vertebral bodies from a vertebrae constituting the spine in the frontal image and extracting a contour of each of the vertebral bodies; deforming a 3D vertebral body model prepared in advance to match with the contour of each vertebral body; detecting an upper plane and a lower plane of each vertebral body in a matched 3D vertebral body model; determining an inclination of each vertebral body based on the upper plane and the lower plane of each vertebral body; and calculating a Cobb's angle based on the inclination of the vertebral body.

Method and apparatus for analyzing medical image

A system and method for analyzing an online game packet are disclosed. The system for analyzing the online game packet includes a capturing unit that captures a packet transmitted between a client terminal and a game server, and an analysis unit that analyzes the packet captured by the capturing unit, and defines, according to an analyzed result, a data field included in the packet as a static field having the same field structure or a dynamic field having a field structure according to a reference field defining an arrangement rule of a field or a field structure according to a user's request. According to the present invention, the data field of the captured packet may be defined for each type according to structural characteristics, thereby automatically analyzing the packet.

System and method for analyzing online game packets

Provided are an apparatus and method for detecting a plurality of arms and hands by using a three-dimensional (3D) image. The apparatus includes an image input unit configured to acquire a 3D image of an object, an arm detecting unit configured to detect one or more component-unit candidate regions of the object in the 3D image, and detect one or more arm regions by using arm detection feature information, extracted from each of the candidate regions, and a pattern recognition algorithm, and a hand detecting unit configured to calculate a position of a hand and a position of a wrist in each of the arm regions detected by the arm detecting unit, and detect a hand region by using the position of the hand and the position of the wrist.

Apparatus and method for detecting multiple arms and hands by using three-dimensional image

The test analysis system of a network according to an exemplary embodiment of the present invention includes: a server group having at least one server performing at least any one of generation of real-time information and storage of a server local log according to test scenarios; a client group having at least one client. communicating with the server group and performing at least any one of the generation of the real-time information and the storage of the local log according to the test scenarios; and a monitoring system storing the real-time information as a system log while monitoring the real-time information received from the server group and the client group during the execution of the test scenarios and informing a test manager of the monitored real-time information.

Test analysis system of network and analysis method thereof

Provided are an apparatus and method for analyzing a characteristic of a game player in real time. The apparatus includes at least one individual action determiner for calculating a player characteristic value indicating a level or tendency of a game player by giving a first weight to game play data values resulting from game play of the game player, an accuracy determiner for comparing the player characteristic value and a value set by an administrator, and calculating an accuracy value of the individual action determiner, a comprehensive level determiner for calculating a final characteristic value indicating a level or tendency of the game player by giving a second weight to the player characteristic values calculated by the individual action determiners when the accuracy value do not exceed a reference value, and a characteristic value output unit for outputting the final characteristic value.

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Daejeon, South Korea

Hang Kee Kim