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.
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 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.
Abstract:
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.
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:
Provided is a channel switching method and channel reception method to enhance spectrum use efficiency and a channel switching apparatus and channel reception apparatus using the same. The channel switching method may include extracting, based on received information associated with a virtual channel currently viewed by a user, broadcasting data on a corresponding virtual channel in a physical channel, determining communication data to be added to an idle frequency band in the physical channel including the extracted broadcasting data, and transmitting a transmission data stream generated based on communication data and broadcasting data included in the physical channel, wherein the physical channel comprises broadcasting data on a plurality of virtual channels and uses a predetermined frequency band.
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.