Abstract: A method of extracting the semantic distance from the mathematical sentence and classifying the mathematical sentence by the semantic distance, includes: receiving a user query; extracting at least one keyword included in the received user query; and extracting a semantic distance by, indexing one or more of natural language tokens and mathematical equation tokens including semantic information, extracting the semantic distance, between the at least one extracted keyword and the one or more indexed semantic information by referring indexed information, and acquiring a similarity of the received user query and the semantic information.

Abstract: The present disclosure relates to a method and apparatus for inputting equations. An equation input apparatus includes a learning context recognizer for extracting learning context information regarding a learner; a target equation group extractor for generating a target equation group including target mathematical symbols based on the extracted learning context information; and a predicted equation provider for providing a predicted mathematical symbol list relating to information, input or selected from the target equation group by user command, and for reflecting an equation selected from the predicted mathematical symbol list in the input or selected information.

Abstract: The present invention relates to an iris recognition device and method capable of improving iris recognition accuracy. To enhance iris recognition accuracy in consideration of variation in pupil size and iris region due to changes in intensity of lighting, the iris recognition device and method are configured to obtain multiple iris images having different iris sizes by capturing iris images of a person to be enrolled with a camera while adjusting brightness of lighting so that the iris size of the person to be enrolled varies from a maximum size to a minimum size, store the obtained iris images and associated iris size information for enrollment in a database interworking with the iris recognition device, and select enrolled iris images having an iris size most similar to that of an iris image captured by the camera for identification among many enrolled iris images for similarity measurement.

Abstract: The present invention relates to a locking apparatus with enhanced security using an iris image, wherein, if a terminal including a short-range wireless communication means and camera accesses the locking apparatus, the locking apparatus: transmits, a token comprising at least one of identification number and/or random number of the locking apparatus from a token generator mounted on the locking apparatus, to the terminal; requests an iris image be photographed and transmitted within a preset time period; generates an iris template from the iris image photographed by a camera fixed on the user terminal; encrypts and transmits the generated iris template and the token from the terminal to the locking apparatus using short-range wireless communication; and performs at least one of access permission (lock release), access denial (a maintenance of a locked state), a request for re-photographing, and an emergency alarm by decrypting the received encrypted iris template and token using a decoder mounted on the lock

Abstract: The present disclosure provides a mathematics education service system includes a problem storing unit to store at least one mathematical problem; a transform method executing unit to execute a plurality of problem transform methods; a problem separating unit to collect equations used in the mathematical problem, separate one or more terms from the collected equations by parsing the collected equations, and separate a constant and a variable from each of the separated one or more terms; and a problem generating unit to generate another applied problem of the mathematical problem by applying at least one of the problem transform methods (i) to the collected equations, and (ii) to the constant and the variable of each of the separated one or more terms, wherein the system is configured to provide the mathematical problem and the generated another problem are provided to a learner terminal.

Abstract: The present disclosure relates to a method and apparatus for inputting equations. An equation input apparatus includes a learning context recognizer for extracting learning context information regarding a learner; a target equation group extractor for generating a target equation group including target mathematical symbols based on the extracted learning context information; and a predicted equation provider for providing a predicted mathematical symbol list relating to information, input or selected from the target equation group by user command, and for reflecting an equation selected from the predicted mathematical symbol list in the input or selected information.

Abstract: A method of extracting the semantic distance from the mathematical sentence and classifying the mathematical sentence by the semantic distance, includes: receiving a user query; extracting at least one keyword included in the received user query; and extracting a semantic distance by, indexing one or more of natural language tokens and mathematical equation tokens including semantic information, extracting the semantic distance, between the at least one extracted keyword and the one or more indexed semantic information by referring indexed information, and acquiring a similarity of the received user query and the semantic information.

Abstract: The present disclosure provides an apparatus and method for processing a natural language and a mathematical formula. The apparatus includes a natural language and mathematical formula input unit configured to receive a natural language and a mathematical formula inputted; an information generation unit configured to generate parsing semantic information of the mathematical formula from combined data composed of the natural language combined with the mathematical formula; an operation information extraction unit configured to extract operation information generated by using a logical condition from the combined data; a natural language and mathematical formula structuralizing unit configured to analyze, classify in terms of specific meaning and recombine the combined data; an operation structuralizing unit configured to structuralize the operation information; and a natural language and mathematical formula indexing unit configured to index the combined data.

Abstract: The present disclosure relates to an apparatus and method for diagnosing a learning ability. The apparatus for diagnosing learning ability includes a receiving unit configured to receive from a terminal chapter-related information or problem-related information which is desirably diagnosed by a learner, and a semantic information generator configured to generate, responsive to each piece of problem information included in the chapter-related information or problem-related information, semantic information with structural information of the problem information, the problem information having subject-specific problem information distinguished from the semantic information.

Abstract: The present invention relates to a method and apparatus for iris recognition using multiple iris templates registered for each individual. The method include acquiring at least one or two eye images of a person to be registered; generating an iris template group for registration from the at least one or two eye images, and storing and registering the iris template group in a database; photographing an eye of the person using a camera placed on a front side of an iris recognition apparatus multiple times to acquire multiple images for authentication; generating an iris template group for authentication comprising multiple iris templates from the multiple eye images; comparing the iris template group for authentication with the registered iris template group for each registered person stored in the database; and performing authentication or identification using the comparison result.

Abstract: The present invention provides a method for acquiring region-of-interest and/or cognitive information from an eye image, comprising the steps of: preprocessing, standardizing, and coding the group of eye images for region-of-interest information or cognitive information to create eye image codes and to build a characteristic eye library in a memory in order to improve an iris recognition rate; grouping and partitioning or covering eye codes for eye images stored in the characteristic eye library into a plurality of groups, and obtaining a representative eye code of each of the eye code groups, preprocessing, standardizing, and coding a new eye image not assigned region-of-interest information or cognitive information in the same way as the above-described step to create a test eye code, matching the test eye image to the most similar eye image in the characteristic eye library, and transferring the region-of-interest information or cognitive information assigned to the matched eye image to the test eye image.

Abstract: The present invention relates to an iris recognition device and method capable of improving iris recognition accuracy. To enhance iris recognition accuracy in consideration of variation in pupil size and iris region due to changes in intensity of lighting, the iris recognition device and method are configured to obtain multiple iris images having different iris sizes by capturing iris images of a person to be enrolled with a camera while adjusting brightness of lighting so that the iris size of the person to be enrolled varies from a maximum size to a minimum size, store the obtained iris images and associated iris size information for enrollment in a database interworking with the iris recognition device, and select enrolled iris images having an iris size most similar to that of an iris image captured by the camera for identification among many enrolled iris images for similarity measurement.

Abstract: In a method of offering an intelligent personalized learning service to learning participants, a pointer is assigned to each learning object and associated with each learning object belonging to a learning object database. A learning subject specific to each learning participant is selected from a learning subject database. Information on attempts at the learning objects associated with selected learning subject is recorded on learning history information of each learning participant. Performance completion information is recorded with respect to the learning objects attempted by the learning participant on the learning history information of each learning participant. A proficiency status of the learning participant is diagnosed for the selected learning subject corresponding to the learning participant based on the learning history information of each learning participant.

Abstract: The present invention provides a method for acquiring high quality eye images, comprising the steps of: dividing a camera mode for eye image acquisition into a pre-photographing mode and a main photographing mode, comparing the degree of eye capture, actual eye, resolution, contrast ratio, noise level, angle of the face when an object to be photographed stares at a lens, location of the pupil in the eye, and the degree of exposure of the iris in the eye, etc.

Abstract: The present invention provides a method for acquiring region-of-interest and/or cognitive information from an eye image, comprising the steps of: preprocessing, standardizing, and coding the group of eye images for region-of-interest information or cognitive information to create eye image codes and to build a characteristic eye library in a memory in order to improve an iris recognition rate; grouping and partitioning or covering eye codes for eye images stored in the characteristic eye library into a plurality of groups, and obtaining a representative eye code of each of the eye code groups, preprocessing, standardizing, and coding a new eye image not assigned region-of-interest information or cognitive information in the same way as the above-described step to create a test eye code, matching the test eye image to the most similar eye image in the characteristic eye library, and transferring the region-of-interest information or cognitive information assigned to the matched eye image to the test eye image.

Abstract: The present invention relates to a method of storing and restoring an iris image, the method comprising the steps of: acquiring an original image Iori including an iris portion from a camera; acquiring a first image Iextract1 configured with an area removed of portions outside of an outer circle and images included within an inner circle (hereinafter, referred to as an ‘iris enveloping annulus’) in order to extract an iris image to be stored from the original image; acquiring a second image Iextract2 removed of an occlusion portion of the iris, such as a pupil, a white of an eye, an eyelash, an eyelid, hairs, and the like, from the first image; converting the second image Iextract2 removed of the occlusion portion into a polar image Ipolar of a polar coordinate system, or acquiring a compressed image Icomp compressing the converted polar image; storing the compressed image Icomp in memory, together with restoration information H, as storage image data Istore; and acquiring a restored image Irestored using a r