Abstract: A service identifying and processing method using a wireless terminal message according to an exemplary embodiment of the present invention includes (a) receiving a wireless terminal message by a first entity which is a mobile device; and (b) expressing, by a first agent which is an information processing application program installed on the first entity, entity information of second entity based on the wireless terminal message and service confirmation information related to service provided by the second entity, through an application screen by the first agent.

Abstract: Disclosed is an amplification circuit, which includes a first amplifier that receives an external signal and performs first band pass filtering on the external signal to output a first filter signal, and a second amplifier that receives the first filter signal and performs second band pass filtering on the first filter signal to output a second filter signal, and a frequency pass bandwidth of the second band pass filtering is narrower than a frequency pass bandwidth of the first band pass filtering.

Abstract: Provided is an apparatus for online action detection, the apparatus including a feature extraction unit configured to extract a chunk-level feature of a video chunk sequence of a streaming video, a filtering unit configured to perform filtering on the chunk-level feature, and an action classification unit configured to classify an action class using the filtered chunk-level feature.

Abstract: A hybrid communication device, an operation method thereof, and a communication system including the same are provided. The hybrid communication device includes a contact unit that includes an antenna for receiving a first communication signal and an electrode for receiving a second signal, a switch controller that includes a first switch and a second switch and controls the first switch and the second switch based on a change in capacitance of the electrode, and a signal processing unit that receives at least one of the first communication signal and the second communication signal from the contact unit via the first switch and processes the received signal. The first switch is connected to the contact unit, and the signal processing unit is connected to the first switch.

Abstract: Provided is a capsule endoscope. The capsule endoscope includes: an imaging device configured to perform imaging on a digestive tract in vivo to generate an image; an artificial neural network configured to determine whether there is a lesion area in the image; and a transmitter configured to transmit the image based on a determination result of the artificial neural network.

Abstract: The human body sensing device includes a contact sensing unit that includes a sensing electrode and a signal electrode, an activation module that senses a contact with a body through the sensing electrode when the sensing electrode and the signal electrode contact the body and outputs a wake-up signal in response to the sensing of the contact, and a human body communication unit that provides a ground voltage to the signal electrode and outputs a data signal to the signal electrode when the wake-up signal from the activation module is received.

Abstract: Provided are a capsule endoscopic receiving device, a capsule endoscope system including the same, and an operating method of the capsule endoscopic receiving device, the capsule endoscopic receiving device including an analog front end configured to receive a preamble from one receiving electrode pair from among a plurality of receiving electrodes, a valid signal detection circuit configured to compare a reference voltage with input data generated on a basis of a voltage level of the preamble, and a preamble processor configured to select a final electrode pair configured to receive the image data on a basis of a correlation value of the preamble and a comparison result of the input data and the reference voltage. According to the inventive concept, stability of receiving image data may be secured by selecting an optimal receiving electrode pair.

Abstract: Disclosed are a biosignal receiving device and a method thereof. The biosignal receiving device used in a communication system using a human body as a medium includes a receiving electrode unit including a plurality of receiving electrodes, an input selection unit including two MUXs for selecting one of the plurality of receiving electrodes, and that output biosignals received by the selected electrodes, a filter that removes noise included in the biosignals and output filtered signals from which the noise is removed, a differential amplifier that amplifies a difference between the filtered signals and output amplified signals, a CDR circuit that generates a data signal and a clock signal from the amplified signals and outputs the data signal and the clock signal, and a controller that output selection signals for selecting one of the plurality of receiving electrodes, based on the data signal and the clock signal.

Abstract: A low power system on chip for supporting partial clock gating is provided. The system on chip includes a network on chip including a first CG-network interface module, a second CG-network interface module, and a clock gating control module, a first IP block that communicates through the first CG-network interface module, and a second IP block that communicates through the second CG-network interface module. The clock gating control module receives a clock gating request from the first IP block, outputs a communication control signal to the second CG-network interface module in response to the received clock gating request, and performs a clock gating operation for a clock signal in response to the received clock gating request to selectively deliver the clock signal to the second IP block.

Abstract: Provided are a human body communication device and an operating method of the same. The human body communication device according to an embodiment of the inventive concept includes a first electrode, a second electrode, a transmitting circuit, a receiving circuit, a ground electrode, and a switch. The transmitting circuit generates a first signal in a transmitting mode and transmits the first signal to the first electrode. The receiving circuit receives a second signal from the first electrode in the receiving mode. The receiving circuit includes a differential amplifier that amplifies a difference between a voltage level of a first input terminal depending on the second signal and a voltage level of a second input terminal. The switch electrically connects the second electrode and the ground electrode in the transmitting mode, and electrically connects the second electrode and the second input terminal in the receiving mode.

Abstract: A capsule endoscope image receiver includes a receiving electrode unit that receives first and second differential signals from a capsule endoscope image transmitter through a human body communication channel, an analog amplifying unit that receives the first and second differential signals and outputs first and second amplified differential signals, and a signal restoring unit that receives the first and second amplified differential signals and restores image information. The analog amplifying unit includes a first amplifier that outputs the first amplified differential signal, a second amplifier that outputs the second amplified differential signal, and an input impedance that is connected between a first inverting input terminal of the first amplifier and a second inverting input terminal of the second amplifier and obtains a gain of differential signal amplification in which a high frequency component of the first and second amplified differential signals is greater than a low frequency component.

Abstract: Disclosed is a learning method of a neural network which includes a first intermediate neuron layer and a second intermediate neuron layer. The method includes performing first learning, which is based on a first synaptic weight layer, with respect to input subjects and the first intermediate neuron layer, determining intermediate neurons, which will perform second learning, from among intermediate neurons of the first intermediate neuron layer, based on the number of spikes of each of spike output signals of the intermediate neurons of the first intermediate neuron layer, and performing the second learning, which is based on a second synaptic weight layer, with respect to the intermediate neurons determined to perform the second learning.

Abstract: Disclosed are a human body communication receiver and an operating method thereof, which may effectively remove low frequency noise. The human body communication receiver according to the present disclosure includes a receiving electrode, a virtual electrode, a filter circuit that is connected between the receiving electrode and the virtual electrode, and removes low frequency noise from a signal received through the receiving electrode to generate a high frequency signal, a low frequency reconstruction circuit that is connected to a rear end of the filter circuit and reconstructs a low frequency baseband signal by rectifying the high frequency signal, and an amplifying circuit that is connected to a rear end of the low frequency reconstruction circuit, and amplifies the low frequency baseband signal.

Abstract: Provided is a receiver. The receiver according to the inventive concept includes a first filter circuit, a second filter circuit, and an amplifier. The first filter circuit provides a first path for first frequency components below first cutoff frequency of input frequency components and passes second frequency components except for the first frequency components of the input frequency components through second path. The second filter circuit attenuates third frequency components below a second cutoff frequency of the second frequency components. The amplifier amplifies the second frequency components including the attenuated third frequency components.

Abstract: Disclosed is an operating method of a user communication device, which includes receiving a wakeup signal from a stationary communication device over a first human body communication channel, the wakeup signal having a frequency in a low frequency band, switching from a standby mode to a wakeup mode in response to the wakeup signal, and receiving a data signal from the stationary communication device over the first human body communication channel during the wakeup mode, and the first human body communication channel is provided by a body of a user of the user communication device.

Abstract: Disclosed is a spiking neural network circuit, which includes an axon circuit that generates an input spike signal, a first synapse zone and a second synapse zone each including one or more synapses, wherein each of the synapses is configured to perform an operation based on the input spike signal and each weight, and a neuron circuit that generates an output spike signal based on operation results of the synapses. The input spike signal is transferred to the first synapse zone and the second synapse zone through a tree structure, and each of branch nodes of the tree structure includes a driving buffer.

Abstract: Provided is and electrode selection device communicating with a capsule endoscope. The device includes an analog front end configured to recover first data based on first signals transmitted from the capsule endoscope to a first electrode and a second electrode, recover second data based on second signals transmitted from the capsule endoscope to the first electrode and a third electrode, and recover third data based on third signals transmitted from the capsule endoscope to the second electrode and the third electrode, and a digital receiver configured to calculate a first correlation value between the first and second electrodes, a second correlation value between the first and third electrodes, and a third correlation value between the second and third electrodes based on the first to third data. The digital receiver calculates first to third correlation sums, and selects a receiving electrode pair based on the first to third correlation sums.

Abstract: Disclosed is a network-on-chip including a first data converter that receives first image data and second image data from at least one image sensor and encodes one image data among the first image data and the second image data, into first data, based on whether the first image data is identical to the second image data and a second data converter that receives non-image data from at least one non-image sensor and encodes the received non-image data into second data. The network-on-chip outputs the first data and the second data to transmit the first data and the second data to an external server at a burst length.

Abstract: A human body communication device includes an electrode, a matching circuit, a switch providing a first path electrically connected to the matching circuit and a second path electrically connected to the matching circuit, a sensor, in a first state, connected to the matching circuit through the switch, outputting a first sensing signal to the matching circuit, and outputting a second sensing signal when a difference between a signal generated from the matching circuit in response to the first sensing signal and the first sensing signal is greater than or equal to a threshold, a transmitter, in a second state, connected to the matching circuit through the switch, and outputting a data signal to the matching circuit, and a controller controlling the switch from the first state to the second state in response to receiving the second sensing signal from the sensor, in the first state.

Abstract: Provided is an artificial intelligence system. The system includes a first sensor configured to generate a first sensing signal during a sensing time, a second sensor disposed adjacent to the first sensor and configured to generate a second sensing signal during the sensing time, a pre-processing unit configured to select valid data according to a magnitude of a differential signal generated based on a difference between the first sensing signal and the second sensing signal, and an artificial intelligence module configured to analyze the valid data to generate result data.