Abstract:
Disclosed is a sensory information providing apparatus. The sensory information providing apparatus may comprise a learning model database storing a plurality of learning models related to sensory effect information with respect to a plurality of videos; and a video analysis engine generating the plurality of learning models by extracting sensory effect association information by analyzing the plurality of videos and sensory effect meta information of the plurality of videos, and extracting sensory information corresponding to an input video stream by analyzing the input video stream based on the plurality of learning model.
Abstract:
Provided herein is an education service system including a user device, which reproduces provided learning content and generates device input information through user input; a learning situation recognition unit, which calculates user state information based on the device input information and selects recommended content depending on the user state information, and a learning content providing unit, which provides learning content corresponding to the recommended content from among a plurality of pieces of pre-stored learning content to the user device.
Abstract:
The present disclosure relates to a method and apparatus for a thing collaboration service based on a social community. More specifically, the method includes: forming a social community among users having a purpose of detecting and preventing a risk in a predetermined place and environment; managing the social community to connect thing terminals owned by the individual users to each other on the basis of the formed social community; collecting thing status information from the thing terminal of each of the users; detecting an occurrence of a risk for predicting an occurrence of an accident or detecting a time point at which the accident occurs by analyzing the collected thing status information; and sharing information about the detected occurrence of the risk with the users of the social community.
Abstract:
A thing cooperation service system and method, and a modeling tool thereof are provided. The thing cooperation service system includes a storage manager configured to store and manage a thing control specification with respect to a plurality of things; and a modeling tool configured to provide the user with a thing which is in a specific social relationship with a user in the plurality of things using information of the user and the thing control specification, and generate an application providing a thing cooperation service using a thing selected from things which are in the specific social relationship.
Abstract:
Provided is a method of predicting an unsafe approach during an approach phase of a flight. The method includes: receiving static flight metadata related to the flight from an external server; extracting a flight data recorder (FDR) data set of the aircraft for a safe approach to a destination of the aircraft from history data of flights of the aircraft to the destination stored in advance; selecting parameters related to unsafe approaches based on the static flight metadata and the FDR data set; extracting time series data for the FDR data set taking into account the parameters related to the unsafe approaches; selecting an event variable to be used for an unsafe approach determination based on the time series data; generating final prediction data by weighting the time series data for the event variable; and determining whether an unsafe approach is predicted or not based on the final prediction data.