Electronics and Telecommunications Research Institute

Jin Chul Choi

Myung Eun Kim

Kang Bok Lee

Sang Yeoun Lee

Hyunseok Kim

Hoe Sung Yang

Sang Gi Hong

Hyo Chan Bang

Dong Beom Shin

Myung Nam Bae

Young Sung Son

Hye Sun Lee

Soonyong Song

Seonghyun Kim

Donghun Lee

Jongkwon Son

Ingook Jang

Tae Joon Park

Jong Hyun Park

Kwang Soo Kim

Dong-Hwan Park

Hyochan Bang

Hyung Kyu Lee

Kyo Hoon Son

Yoon Sik Yoo

Sun Jin Kim

Sunjin Kim

Soon Hyun Kwon

A method and an apparatus for exclusive reinforcement learning are provided, comprising: collecting information of states of an environment through the communication interface and performing a statistical analysis on the states using the collected information; determining a first state value of a first state among the states in a training phase and a second state value of a second state among the states in an inference phase based on analysis results of the statistical analysis; performing reinforcement learning by using one reinforcement learning unit of a plurality of reinforcement learning unit which performs reinforcement learnings from different perspectives according to the first state value; and selecting one of actions determined by the plurality of reinforcement learning unit based on the second state value and applying selected action to the environment.

Method and apparatus for reinforcement machine learning

An apparatus and method for abnormal situation detection are disclosed. An abnormal situation detection apparatus can map first sensor data among sensor data transmitted from a plurality of sensors into a vector value, convert it into first situation information in the form of an image pattern, and generate a learning model using the first situation information and an abnormal situation reference range. In addition, the abnormal situation detection apparatus can convert second sensor data among sensor data transmitted from a plurality of sensors into a form that can be input to the learning model, and determine whether an abnormal situation occurs by applying the converted second data to the learning model.

Apparatus and method for abnormal situation detection

A mobile ad-hoc routing apparatus includes a first communication module and a second communication module configured to transmit and receive data through a first communication band and a second communication band, respectively, a memory configured to store a program for transmitting and receiving the data, and a processor configured to execute the program stored in the memory, wherein when the program is executed, the processor receives first control information broadcast by one or more neighboring nodes via the first communication module and stores the first control information in the memory, wherein the first control information includes current position and communication status information of the neighboring node, the processor updates information on the neighboring node on the basis of the first control information, generates packet forwarding information which includes information on a node which currently allows packet data to be transmitted based on the updated information on the neighboring node, and stores the generated packet forwarding information in the memory, and the processor determines a subsequent node which allows the packet data to be transmitted to a destination node on the basis of the packet forwarding information and transmits the packet data to the subsequent node via the second communication module.

Mobile ad-hoc routing apparatus and method

An operation method of a first apparatus for supporting disaster communications includes obtaining map information of a disaster area from a server; obtaining information on a location of the first apparatus, and obtaining environmental condition information of the first apparatus indicating a risk of an area to which the first apparatus belongs; obtaining information on a location and environmental condition information of a second apparatus located in the disaster area from the second apparatus; determining a disaster risk level indicating a risk level for each location in the disaster area based on the location and environmental condition information of the first apparatus and the location and environmental condition information of the second apparatus; and updating the map information by reflecting the disaster risk level.

Method of providing information for supporting rescue in disaster area and apparatus therefor

According to an exemplary embodiment of the present invention, a method for managing a resource using an apparatus for managing a resource is provided. The apparatus for managing a resource generates a first instance for a first community using a first ontology class about communities including at least one resource as a member according to a goal. The apparatus for managing a resource generates a second instance for a first resource using a second ontology class about resources. Further, the apparatus for managing a resource estimates a relation between the first instance and the second instance.

Method and apparatus for managing resource

Growing community of inventors

Daejeon, South Korea

Jin Chul Choi