Abstract:
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.
Abstract:
A broadcasting transmitting apparatus configures one broadcasting channel as at least two video streams, generates a program map table (PMT) representing configuration information of a stream included within the broadcasting channel, sets a program type provided through the corresponding broadcasting channel within the PMT, multiplexes the at least two video streams and signaling information, and transmits the multiplexed two video streams and signaling information through a broadcasting network.
Abstract:
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.
Abstract:
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.
Abstract:
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.
Abstract:
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.
Abstract:
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.
Abstract:
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.
Abstract:
A demultiplexing apparatus, a multiplexing apparatus, and a multi-channel transmission and reception method using the same are provided. The demultiplexing apparatus includes a broadcasting data reception unit for separating a broadcasting data stream into N input packets, an output packet generation unit for generating (N+1) output packets by connecting a pre-header, including a field for multi-channel transmission, with each of the N input packets, and a packet distribution unit for distributing the (N+1) output packets over at least two channels. The multiplexing apparatus includes a packet restoration unit for detecting first field information for restoration and second field information for synchronization from each of pre-headers included in (N+1) output packets received through at least two channels and generating N restoration packets using the first field information and an output synchronization unit for performing output timing synchronization between the N restoration packets using the second field information.