Abstract: A laser marking device includes a laser emission unit configured to emit a laser beam to a first surface of an object to be processed, and a pressing unit configured to press a second surface that is opposite to the first surface of the object to be processed to make the first surface of the object to be flat. The pressing unit includes a first pressing portion configured to press an edge area of the second surface in a contact manner, and at least one second pressing portion configured to press a middle area of the second surface in a non-contact manner to maintain a separation distance from the second surface within a certain distance.

Abstract: A laser marking device includes a laser emission unit configured to emit a laser beam to a first surface of an object to be processed, and a pressing unit configured to press a second surface that is opposite to the first surface of the object to be processed to make the first surface of the object to be flat. The pressing unit includes a first pressing portion configured to press an edge area of the second surface in a contact manner, and at least one second pressing portion configured to press a middle area of the second surface in a non-contact manner to maintain a separation distance from the second surface within a certain distance.

Abstract: A laser marking device includes a laser emission unit configured to emit a laser beam to a first surface of an object to be processed, and a pressing unit configured to press a second surface that is opposite to the first surface of the object to be processed to make the first surface of the object to be flat. The pressing unit includes a first pressing portion configured to press an edge area of the second surface in a contact manner, and at least one second pressing portion configured to press a middle area of the second surface in a non-contact manner to maintain a separation distance from the second surface within a certain distance.

Abstract: A laser marking device includes a laser emission unit configured to emit a laser beam to a first surface of an object to be processed, and a pressing unit configured to press a second surface that is opposite to the first surface of the object to be processed to make the first surface of the object to be flat. The pressing unit includes a first pressing portion configured to press an edge area of the second surface in a contact manner, and at least one second pressing portion configured to press a middle area of the second surface in a non-contact manner to maintain a separation distance from the second surface within a certain distance.

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 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: 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.