Electronics and Telecommunications Research Institute

Hyoungsun Kim

Joonmyun Cho

Hyun Kyu Kim

RockWon Kim

Myungeun Kim

Aekyeung Moon

Taegun Kang

Hyunkyu Cho

The present invention provides the identification codes to the plurality of smell information and databases them, making it possible to identify the information on each smell and adds the smell data and smell reproducing information for at least one smell to the media data, making it possible to provide the contents with the plurality of smell reproducing information. Further, the smell diffusing apparatus includes the plurality of smell diffusing components to combine at least two smell diffusing components corresponding to the smell data and discharge them to the outside such that it can reproduce complex smells, thereby making it possible to effectively process a plurality of smell information.

Generating apparatus, reproducing apparatus and reproducing method of contents with smell reproducing information

A learning apparatus and method of an intelligent system according to the present invention relates to learning of an intelligent system that automatically controls a system on the basis of information about events generated in an external environment or services input by a user. In the learning, it is determined whether rules extracted from event data or service data are the same as rules already stored. Then, if it is determined that the rules are new rules, queries about the confidence of new rules are generated and provided to a user. The rules are updated on the basis of user's answers. Accordingly, it is possible to accurately grasp users' patterns by using very small amount of observation data as compared to an existing method, and to more easily sense variable patterns. Therefore, it is possible to obtain a more intelligent learning in the intelligent system.

Learning apparatus and method of intelligent system

The present invention relates to a system for cooperation of multiple mobile robots and a method thereof that allow the multiple mobile robots to cooperatively execute one complicated task. The system and method can use centralized control architecture, create robot cooperation application codes on the basis of conceptual behavior units without depending on actual physical robots, and dynamically bind behavior units used to create the robot cooperation application at the time of executing the robot cooperation application to actual functions of the robots, thereby actively adjusting to changes in a dynamical environment, such as a change in the types, the number, and the functions of robots for cooperation.

System for cooperation of multiple robots using dynamic behavior binding and method thereof

The user-defined inference rule is created using a knowledge base search language that is basically provided in a knowledge base management system. Accordingly, the user-defined inference rule is a knowledge base search statement and is processed using a function of searching a knowledge base as a base function of the knowledge base management system. The user-defined inference rule is applied by including a knowledge base search process and a search result in the knowledge base, when the knowledge base is changed. The user-defined inference rule is managed by a user-defined inference rule manager. The user-defined inference rule manager monitors a change in the knowledge base to determine when the user-defined inference rule is applied, executes the user-defined inference rule to obtain the execution result, and includes the execution result in the knowledge base.

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Daejeon, South Korea

Hyoungsun Kim