Electronics and Telecommunications Research Institute

Korea Atomic Energy Research Institute

Sun Jin Kim

Cheol Sig Pyo

Nae Soo Kim

Young Min Kim

Kwi Hoon Kim

Ho Sung Lee

Hyun Jae Kim

Yeon Hee Lee

Ji Hoon Bae

Se Won Oh

Hyun Joong Kang

Soon Hyun Kwon

Hong Kyu Park

Tae Joon Park

Kang Bok Lee

Dae Won Kim

Jong Hyun Park

Sang Yeoun Lee

Hoe Sung Yang

Eun Joo Kim

Sang Gi Hong

Hyo Chan Bang

Dong Beom Shin

Myung Nam Bae

Woong Shik You

Jin Chul Choi

Myung Eun Kim

Jae Hak Yu

Hoo Young Ahn

Hye Sun Lee

Wan Seon Lim

Doo Byung Yoon

Gwan Joong Kim

Provided are a data processing apparatus and method for merging and processing deterministic knowledge and non-deterministic knowledge. The data processing apparatus and method may efficiently process various real-time and large-scale data to convert the data into knowledge by merging and processing non-deterministic knowledge and also deterministic knowledge perceived by an expert. Thus, it is possible to adaptively operate in accordance with a dynamically changing application service environment by converting a conversion rule for converting collected data generated from an application service system into semantic data, a context awareness rule for perceiving context information from given information, and a user query for searching for knowledge information into knowledge and gradually augmenting the knowledge information in accordance with an application service environment.

Data processing apparatus and method for merging and processing deterministic knowledge and non-deterministic knowledge

A workflow engine framework for creating a single-domain adaptive and a cross-domain adaptive workflow performing platform is disclosed. The workflow engine framework includes: a resource management unit configured to manage resources including engine components and workflow property specification components; a system configuration unit configured to create an engine by assembling the property specification components; and a system control unit configured to drive and execute one or more engines. Further the workflow engine framework is allocated to each of two or more different signal domains and forms a cross-domain adaptive workflow engine framework.

Workflow engine framework

Provided are an apparatus and method for detecting an anomaly in a plant pipe using multiple meta-learning. When a multi-sensor data stream about a plant pipe is received, each of a plurality of meta-learning modules for processing different packet section ranges, extracts one or more preset types of features from sensor data of packet section ranges set according to trend from an arbitrary reception time point, generates 2D image features of the features according to multi-sensor-specific times, generates 3D volume features by accumulating the 2D image features in a depth direction according to multiple sensors, and learns the 3D volume features in parallel through multi-sensor-specific learning modules. Results of the learning of the meta-learning modules are aggregated, and it is determined whether there is an anomaly in a plant pipe according to a learning result selected based on an optimal combination of multiple features, multiple sensors, and multiple packet sections.

Apparatus and method for detecting anomaly in plant pipe using multiple meta-learning

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

Growing community of inventors

Daejeon, South Korea

Sun Jin Kim