Electronics and Telecommunications Research Institute

Seoul National University

Korea Atomic Energy Research Institute

Ji Hoon Bae

Cheol Sig Pyo

Jong Suk Chae

Won Kyu Choi

Chan Won Park

Kwang Soo Cho

Man Sik Park

Nae Soo Kim

Gil Young Choi

Kwi Hoon Kim

Se Won Oh

Sun Jin Kim

Dong Han Lee

Cheng Hao Quan

Young Min Kim

Jong-Suk Chae

Hong Kyu Park

Chan-Won Park

Hoe Sung Yang

Eun Joo Kim

Hyun Jae Kim

Ho Sung Lee

Yeon Hee Lee

Hyun Joong Kang

Soon Hyun Kwon

Jae Hak Yu

Wan Seon Lim

Hyung Chul Park

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

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 tag of an apparatus for simultaneously identifying massive tags according to the present invention may include an analog circuit unit to communicate with a reader through an analog signal and to receive energy via magnetic coupling with the reader. Further, the tag may include a digital circuit unit to be supplied with power from the analog circuit unit. The digital circuit unit may support a sleep mode for the tag to stand by in a low power state after transmitting an identifier (ID) to the reader and a wait mode for controlling random access to the reader.

System for simultaneously identifying massive RFID tags using HF band

An RFID system using an M pulse amplitude modulation (M-PAM) or M quadrature amplitude modulation (M-QAM) scheme using a plurality of load-modulators, a plurality of antennas, and a communication method thereof are provided. The RFID system includes: an RFID tag; and a reader device communicating with the RFID device, wherein the RFID tag includes: N load-modulators an N antennas communicating with the reader device in any one scheme of M-pulse amplitude modulation (M-PAM) and M-quadrature amplitude modulation (M-QAM) in which modulation of an M level is performed and operated corresponding to the M level.

RFID system and communication method thereof

Provided is a symbol synchronization apparatus and method of a passive RFID reader. The symbol synchronization apparatus includes: an edge clock detector generating edge clocks by detecting phase inversion positions of a received signal; a preamble detector detecting a preamble section by analyzing the generation times of the edge clocks; a symbol decision time extractor extracting a symbol decision time by averaging distances between the edge clocks consecutively generated in the preamble section, when the preamble section is detected; and a symbol decider deciding a symbol by analyzing the magnitude of the received signal, when the time reaches the symbol decision time.

Symbol synchronization apparatus and method of passive RFID reader

Disclosed are a passive RFID (Radio Frequency Identification) system and method capable of recognizing a great deal of tags at a high speed. A reader of a passive RFID system, including: a processor dividing slots and subchannels to configure a round, recognizing subchannels that are not involved in a collision and interference by the slots, and changing the subchannels that are not involved in a collision and interference, into a sleep state; a transmission unit encoding a command generated through the processor, performing an amplitude jitter modulation on the encoded command, and transmitting the modulated command; and a reception unit acquiring and demodulating tag signals received through a plurality of subchannels by the slots, and providing the demodulated tag signals to the processor.

Passive RFID system and method

Growing community of inventors

Daejeon, South Korea

Ji Hoon Bae