Abstract: The present invention relates to a wearable sensor-based automatic scheduling device and method. The wearable sensor-based automatic scheduling device includes: a typical schedule setting part that sets a typical schedule received from the user and specifying a specific event; an atypical schedule inferring part that infers an atypical schedule by analyzing the user's current location and the user's behavioral patterns occurring over a specific period of time in the past; and a schedule determining part that determines the schedule from this point on based on the typical schedule and the atypical schedule. Accordingly, the present invention may provide a technology that can predict the user's expected schedule in real time by taking into account both a typical schedule recorded in a scheduler and an atypical schedule mapped out based on daily behavioral patterns.

Abstract: A home robot device includes a memory, a movement module, and a processor. The processor is configured to execute a motion based on specified motion execution information stored in the memory, obtain feedback information of a user, generate modified motion execution information by modifying at least a portion of the specified motion execution information based on the feedback information of the user, where the modified motion execution information includes a movement value of at least one joint unit of the home robot device or at least one support linked to the at least one joint unit selected from a probability model of the specified motion execution information, and execute a motion of the home robot device based on the modified motion execution information.

Abstract: There is provided a system for recommending a TV program based on content, the system including: a terminal device configured to: decode and output a received broadcast stream; extract affectors by analyzing a video that is being played by the video player; estimate affects that are an implicit response of a viewer of the video; and learn a preference model using an affect matching each of the affectors and transmit the learned preference model to a recommendation server, and a recommendation server configured to: in response to receipt of a preference model, estimate real-time preference by applying the preference model to each of the plurality of channels in real time; and register a specific TV program in a recommendation list and transmit the recommendation list to the terminal device in a case where a real-time preference for the specific TV program is equal to or greater than a predetermined level.

Abstract: An apparatus for generating a probabilistic graphical model based on a time-space structure. The apparatus includes a first matrix generation unit configured to generate a first matrix having variables corresponding to stream data; a second matrix generation unit configured to classify the variables of the first matrix into either object variables that are objects of interest or input variables, acquire combination variables from multi-order combination of the input variables, and generate a second matrix using the acquired combination variables; and a model creation unit configured to create the probabilistic graphical model using the object variables of the first matrix and the combination variables of the second matrix.

Abstract: Provided are a photographing profile learning apparatus and method of a digital imaging device for recording a personal life history. The photographing profile learning method learns a user's photographing patterns by recommending at least one previous picture consistent with a user's photographing tendencies, using a recommendation function and a user profile based on a user feedback value and a compensation value, receiving user feedback regarding the recommended previous picture, and updating the user profile and the recommendation function according to the user feedback. Therefore, since photographing settings are performed according to a user's tendency and conditions, it is possible to maintain consistency between a currently photographed picture and previously photographed pictures and systematically produce a visual diary.

Abstract: A method and system for automatically extracting photography information is provided. The system for automatically extracting photography information includes an image input unit acquiring a preview image or a captured image as an input image, a photography information extraction unit extracting photography information of the input image, and a photography code generation unit generating a photography code indicating a user's photography pattern by using the extracted photography information.

Abstract: An apparatus for generating a probabilistic graphical model based on a time-space structure. The apparatus includes a first matrix generation unit configured to generate a first matrix having variables corresponding to stream data; a second matrix generation unit configured to classify the variables of the first matrix into either object variables that are objects of interest or input variables, acquire combination variables from multi-order combination of the input variables, and generate a second matrix using the acquired combination variables; and a model creation unit configured to create the probabilistic graphical model using the object variables of the first matrix and the combination variables of the second matrix.

Abstract: Provided are an apparatus and a method for coding genetic information. An aligning unit aligns sample genetic information, wild-type probe genetic information, and mutant-type probe genetic information, based on a mutation position. A code storage unit stores first orthogonal codes assigned to each of bases located at left and right base regions based on the mutation position and second orthogonal codes assigned to a base located at the mutation position. A coding unit creates first code strings and second code strings.

Abstract: A method and system for automatically extracting photography information is provided. The system for automatically extracting photography information includes an image input unit acquiring a preview image or a captured image as an input image, a photography information extraction unit extracting photography information of the input image, and a photography code generation unit generating a photography code indicating a user's photography pattern by using the extracted photography information.

Abstract: Provided are a photographing profile learning apparatus and method of a digital imaging device for recording a personal life history. The photographing profile learning method learns a user's photographing patterns by recommending at least one previous picture consistent with a user's photographing tendencies, using a recommendation function and a user profile based on a user feedback value and a compensation value, receiving user feedback regarding the recommended previous picture, and updating the user profile and the recommendation function according to the user feedback. Therefore, since photographing settings are performed according to a user's tendency and conditions, it is possible to maintain consistency between a currently photographed picture and previously photographed pictures and systematically produce a visual diary.

Abstract: The present invention is to identify the gene modules associated with cancers from microarray data using the evolved hypernetwork classifier.

Abstract: Provided are an apparatus and a method for coding genetic information. An aligning unit aligns sample genetic information, wild-type probe genetic information, and mutant-type probe genetic information, based on a mutation position. A code storage unit stores first orthogonal codes assigned to each of bases located at left and right base regions based on the mutation position and second orthogonal codes assigned to a base located at the mutation position. A coding unit creates first code strings and second code strings.

Abstract: Disclosed are a method of predicting mature microRNA regions using a bidirectional hidden Markov model and a medium recording a computer program to implement the method. The method includes representing each base pair comprising the microRNA precursor by state information of match, mismatch and bulge states; representing the base pair by a basepair emission symbol; computing a Viterbi probability (P) for microRNA using a probability (Es(q)) that state s emits symbol q and a transition probability (Tab) from state a to state b; computing a Viterbi probability (Pt(i)) that the i-th base pair is true and another Viterbi probability (Pf(i)) that the i-th base pair is false; and computing a position probability (S(i)) for mature microRNA using the Viterbi probability, wherein, if the position probability (S(i)) for mature microRNA is greater than a predetermined value, the position at which the base pair is present is taken as the mature microRNA region.

Abstract: Provided are an apparatus and a method for coding genetic information. An aligning unit aligns sample genetic information, wild-type probe genetic information, and mutant-type probe genetic information, based on a mutation position. A code storage unit stores first orthogonal codes assigned to each of bases located at left and right base regions based on the mutation position and second orthogonal codes assigned to a base located at the mutation position. A coding unit creates first code strings and second code strings.