Abstract: A low density parity check (LDPC) decoder initializing variable nodes with a value of a codeword and outputting the updated variable nodes as decoded messages with reference to an irregular parity check matrix. The LDPC decoder includes a plurality of unit logic circuits operating in a single mode in which all the unit logic circuits update one variable node group including at least one variable node, or a multi-mode in which each of the unit logic circuits updates a plurality of variable node groups in parallel by updating different variable nodes, and a mode controller controlling the plurality of unit logic circuits to update a high-degree variable node group having a degree greater than a threshold degree among the variable node groups in the single mode, and update a low-degree variable node group having a degree less than or equal to the threshold degree among the variable node groups in the multi-mode.

Abstract: In the program for generating a test case based on a use case diagram and the method for generating a test case using the same according to exemplary embodiments of the present invention, since a use case specification specifying a procedure or method scenario performed in a use case diagram is used to complement insufficient information of a use case diagram used to extract a test case, a layer, although he is not a specialist or an expert, can easily generate a certain level of a test case to effectively perform a test. Thus, requirements can be verified in advance by generating a test case from a use case program, reducing the costs for a system development.

Abstract: The present invention relates to a robot motion data generation method and a generation apparatus using image data, and more specifically to a robot action data generation method for perceiving motion of an object from a consecutive first image frame and a second image frame including image information on the moving object, and for generating robot action data from the perceived motion, comprising the steps of: a first step of performing digital markings at plural spots on top of the object of the first image frame, and storing first location coordinates values of the digital markings in tree type; a second step of storing peripheral image patterns of each digital marking in association with the first location coordinates values; a third step of recognizing image data identical with peripheral image patterns of each of the first location coordinates values from the second image frame, and finding out changed second location coordinates values from the first location coordinates values; a fourth step of extrac

Abstract: In the program for generating a test case based on a use case diagram and the method for generating a test case using the same according to exemplary embodiments of the present invention, since a use case specification specifying a procedure or method scenario performed in a use case diagram is used to complement insufficient information of a use case diagram used to extract a test case, a layer, although he is not a specialist or an expert, can easily generate a certain level of a test case to effectively perform a test. Thus, requirements can be verified in advance by generating a test case from a use case program, reducing the costs for a system development.

Abstract: The present invention relates to a robot motion data generation method and a generation apparatus using image data, and more specifically to a robot action data generation method for perceiving motion of an object from a consecutive first image frame and a second image frame including image information on the moving object, and for generating robot action data from the perceived motion, comprising the steps of: a first step of performing digital markings at plural spots on top of the object of the first image frame, and storing first location coordinates values of the digital markings in tree type; a second step of storing peripheral image patterns of each digital marking in association with the first location coordinates values; a third step of recognizing image data identical with peripheral image patterns of each of the first location coordinates values from the second image frame, and finding out changed second location coordinates values from the first location coordinates values; a fourth step of extrac