Electronics and Telecommunications Research Institute

Joon Young Jung

Dong Joon Choi

Nam Ho Hur

Jeun Woo Lee

Je Won Lee

Jin Hyuk Song

Heung Mook Kim

Chang Seok Bae

Dong-Oh Kang

Soo In Lee

O Hyung Kwon

Namho Hur

Eun Hee Hyun

Jae Hwui Bae

Jang Ho Choi

Dong Oh Kang

Dong Woo Lee

Hyun Seo Kang

Soon Choul Kim

Jin Young Moon

Jae Ho Lee

Myung-Sun Baek

Yun Kyung Park

Yong Ki Son

Hyung Cheol Shin

Ki Ho Kim

Kyu Chang Kang

Ja Beom Gu

Myung Sun Baek

Eui Hyun Paik

Dong Wan Ryoo

Ok Gee Min

Sang-Jung Ra

Chon Hee Lee

Yong Seong Cho

Bae Sun Kim

Kwan Woong Ryu

Hyung Suk Ryu

Jang Won Bae

Chun Hee Lee

According to an embodiment of the present disclosure, there is provided a method and apparatus for transmitting/receiving a digital broadcast. The method for transmitting a digital broadcast, the method comprising: configuring AV data; configuring broadcast data; configuring application signaling information (ASI) by considering at least one of the AV data and the broadcast data or combination thereof; configuring an MPEG-based transport stream by multiplexing the AV data, the broadcast data and the ASI; and transmitting the MPEG-based transport stream, wherein the ASI includes data for driving an application executed by a broadcast receiver.

Method and apparatus for transmitting/receiving digital broadcast

A multi-layered knowledge base system and a processing method thereof are provided. In the system, semantic space learning of converting learning data into a semantic vector, which is a vector of semantic space, by learning a transformation function based on a plurality of learning data is performed. Then, relational knowledge learning of acquiring a relation between the semantic vectors by learning a relation function based on the semantic vectors obtained by the semantic space learning is performed. The acquired relation is converted into graph knowledge. The graph knowledge uses the relation as an edge and the semantic vector corresponding to the relation as a node.

Learning data, semantic space, and graph knowledge multi-layered knowledge base system and processing method thereof

Method of recognizing a SPO tuple relationship based on deep learning includes reading a natural language sentence stored in a first storage in which a natural language sentence and an SPO tuple are configured in pairs and stored, generating dependent syntax relationship information by parsing a dependent syntax from the natural language sentence, reading the SPO tuple paired with the natural language sentence stored in the first storage, generating dependent-syntax-based first SPO tuple relationship information for training a deep learning model based on the SPO tuple, the natural language sentence, and the dependent syntax relationship information, performing embedding on the dependent syntax relation information, recognizing second SPO tuple relationship information by inputting the embedded dependent syntax relationship information to a multi-layered bidirectional time series neural network model, and training the deep learning model by comparing the first and second SPO tuple relationship information.

Method and apparatus for recognizing SPO tuple relationship based on deep learning and score and probability associated with a SPO relationship class

An adaptive multi-view streaming processing method and apparatus for a multi-view stream is disclosed. Specifically, disclosed herein is a method and apparatus for adaptively processing or transmitting adaptive streaming by reflecting network states and changes in transmission environments in a multi-view streaming service environment where several or more multiple videos are simultaneously transmitted at an arbitrary moment. An adaptive streaming processing method for a multi-view stream may comprise selecting and downloading an i-th segment of a main view stream with a first quality level, inferring a size of an i-th segment of downloadable neighboring view streams based on a download time and transfer rate of the i-th segment of the main view stream, and selecting a second quality level corresponding to the inferred size of the i-th segment of the neighboring view streams and downloading the i-th segment of the neighboring view streams based on the selected second quality level.

Method and apparatus for processing adaptive multi-view streaming

Disclosed herein are a system and a method for volitional electromyography (vEMG) signal detection from an EMG signal when functional electrical stimulation (FES) is applied. The system for vEMG signal detection includes a receiver for receiving data from an EMG electrode when FES is applied, a memory for storing a program for detecting a vEMG signal using the received data, and a processor for executing the program, wherein the processor cuts the data received from the EMG electrode disposed at a predetermined position, calculates a difference between data for previous FES and data for current FES, and detects the vEMG signal using the calculated difference.

System and method for volitional electromyography signal detection

Disclosed are a method and a device for transmitting and receiving a signal, the method including: identifying a downlink signal-only transmission section in which a first electronic device transmits a downlink signal to a second electronic device, and transmitting the signal in the downlink signal-only transmission section; detecting at least one symbol that has a power value relatively higher than a predetermined threshold value; estimating, on the basis of the detected at least one symbol, an interference channel in which a self-interference signal occurs; detecting the self-interference signal; and identifying an FDX transmission section in which an uplink signal is received from the second electronic device and the downlink signal is transmitted simultaneously, and processing transmission of the downlink signal and reception of the uplink signal in the FDX transmission section, wherein the reception of the uplink signal is processed by removing the self-interference signal occurring in the interference channel.

Method and device for transmitting and receiving signal on basis of full duplex communication

A self-evolving agent-based simulation system generates model evolution strategy for applying a difference between real-data and a simulation resulting value to a simulation model, and reconstructing components included in the simulation module using the model evolution strategy to evolve the simulation model when the difference between the real-data and the simulation resulting value of the agent-based simulation model does not satisfy a value in a predetermined error range.

Self-evolving agent-based simulation system and method thereof

An apparatus and a method for processing an uplink signal of cable broadcasting network including: modulating uplink data to be transmitted to a broadcasting station which is located at an end of the cable broadcasting network into a plurality of symbols; performing a correlation-coding on the plurality of symbols; and outputting an analog radio frequency (RF) signal corresponding to the plurality of correlation-coded symbols are provided.

Method and apparatus for processing uplink signal in cable broadcasting network

Disclosed is a method of transmitting broadcasting data and apparatus for the same. According to an embodiment of the present disclosure, the method of transmitting broadcasting data includes: determining at least one IP-based data packet provided in different lengths received from a higher layer; generating a media transport packet having a fixed length by converting the at least one IP-based data packet; and generating broadcasting data by modulating the generated media transport packet on the basis of a broadcasting data modulation scheme and transmitting the broadcasting data.

Method of transmitting IP-based broadcasting data over cable broadcasting network and apparatus for same

Disclosed are a roll-off period detection method, a symbol starting point detection method, a fractional frequency offset estimating method, and an OFDM downstream system using the same. A method of detecting a roll-off period in an OFDM downstream system according to an embodiment of the present disclosure may include: generating a temporary roll-off period by applying a windowing function to a signal having a preset length; and detecting a roll-off period based on any one of a cross correlation and a sum of differences between a detection target signal included in a range of two OFDM symbol signals based on a detection starting point, and the temporary roll-off period.

Roll-off period detecting method, symbol starting point detecting method, fractional frequency offset estimating method, and OFDM downstream system thereof

An apparatus and a method for converting an upstream radio frequency (RF) signal to a digital signal and transmitting the digital signal via an Internet protocol (IP) packet based on an optical network in a cable broadcasting network is provided. The apparatus for transmitting an upstream RF signal includes a detector configured to detect an upstream RF signal, and a transmitter configured to digitize the detected upstream RF signal and transmit the digitized RF signal to a headend via an IP packet.

Apparatus and method for IP based transmission of upstream RF signal in cable broadcasting network

A device for distributing a load and managing power of a virtual server cluster includes a monitoring unit configured to monitor a load distribution condition on server nodes included in a server cluster and a dynamic state of each of the server nodes, a server node information storage unit configured to store static state information of each of the server nodes, a policy determination unit configured to determine a load distribution policy and a power management policy for each of the server nodes using monitoring information and the static state information stored in the server node information storage unit, and a controller configured to control conversion of each of the server nodes into an active state or an inactive state according to the power management policy, and distribution of a load of a service request requested by a service client to activated server nodes according to the load distribution policy.

Device for distributing load and managing power of virtual server cluster and method thereof

A method of estimating an integer frequency offset and compensating for the integer frequency offset by an estimated error is provided. A frequency offset estimation method may include receiving a reception signal including PLC data and a physical layer link channel (PLC) preamble, detecting first position information on a position of a subcarrier of the PLC preamble in a frequency axis from the reception signal through a cross-correlation between the PLC preamble and the reception signal, detecting second position information on the position of the subcarrier of the PLC preamble defined in a transmission end by restoring the PLC data, and calculating a frequency offset by comparing the first position information with the second position information.

Frequency offset estimation and compensation method

Disclosed are a smart learning system using a device social relation and a method thereof. The smart learning system includes a first device that generates a device social relation and shares learning content, and at least one second device that executes an event related to the learning content by acquiring the shared learning content when is included in the device social relation.

Smart learning system using device social relation and method thereof

Disclosed are an apparatus and a method for soft-decision demodulating in non-square quadrature amplitude modulation. The apparatus includes: a signal receiving unit receiving a quadrature amplitude modulation (QAM) modulated signal at an m modulation degree at a transmitting side; a soft-decision bit calculating unit determining a soft-decision bit value by calculating log likelihood ratios (LLRs) for m bits of the received QAM modulated signal; and a signal decoding unit restoring the received QAM modulated signal based on the determined soft-decision bit value, in which the soft-decision bit calculating unit defines a log likelihood ratio calculation equation by approximating soft-decision boundary points of constellation points for m bits of non-square QAM having odd bits, respectively.

Growing community of inventors

Daejeon, South Korea

Joon Young Jung