Abstract:
Provided is a spike neural network circuit. The spike neural network circuit includes an axon configured to generate an input spike signal, a synapse including a first transistor for outputting a current according to a weight and a second transistor connected to the first transistor and outputting the current according to an input spike signal, a neuron configured to compare a value according to the current output from the synapse with a reference value and generate an output spike signal based on a comparison result, and a radiation source attached to a substrate on which the synapse is formed, configured to output radiation particles to the synapse, and configured to increase magnitudes of threshold voltages of the first and second transistors of the synapse.
Abstract:
The present disclosure relates to a capsule endoscope transmitter configured to transmit frames including control frames and data frames to a capsule endoscope receiver. The capsule endoscope transmitter includes a preamble generator configured to generate preambles for synchronizing and identifying the control frames used to select a reception electrode pair that receives the frames, and a line sync generator configured to generate a line sync for synchronizing the data frames and identifying a code value of each of the data frames.
Abstract:
Provided is a method for generating a preamble of a transmission signal for human body communication, the method including using a frequency shift code (FSC) of which a length is adjusted according to an operating clock frequency or a transmission rate and a first pseudo random binary sequence (PRBS) code of p chips where p is a natural number to generate a first preamble unit block of n chips where n is a natural number, using the FSC and a second PRBS code of p′ chips to generate a second preamble unit block of n′ chips, and arraying the first preamble unit block consecutively and repeatedly and disposing the second preamble unit block at a next stage to form the preamble of the transmission signal.
Abstract:
Provided herein are a power system based on a beta source and an operating method thereof. The system includes a power generating section including a plurality of beta source-based generators, a power storage section including a plurality of power storages to store electrical energy which is generated from the generators, a multiplexer configured to select at least some of the storages, an optical power learning section to receive electrical signals provided from the storages, and estimate a state of charge (SOC) of each of the storages, through machine learning, an optimal power selecting section to select a power storage, which provides the optimal power, based on the SOC of each of the storages, an output section including a plurality of output devices to output power provided from the storage selected by the optimal power selecting section, and a de-multiplexer to select at least one output device of the output devices.
Abstract:
Disclosed is a power management apparatus and a multi-source energy harvesting system using the apparatus, which manage power supplied by individual harvesting sources without wasting the power, thus efficiently distributing the power to a battery. The power management apparatus includes a plurality of comparison units configured to compare voltages of storage devices respectively connected to output terminals of a plurality of harvesting power sources with a preset threshold voltage. A control unit is configured to control an operation of the power management apparatus. A plurality of switching units are installed between the storage devices and a battery and are configured to be turned on/off in response to switching control signals output from the control unit and to form power transmission paths between corresponding storage devices and the battery. The control unit generates and provides the switching control signals based on output signals of the comparison units.
Abstract:
Provided is an electronic circuit for implementing a generative adversarial neural network. The electronic circuit includes a spike converter, a spike image generator, a spike image converter, and an image discriminator. The spike converter generates a first signal including spike signals. The number of the spike signals is determined based on first data associated with second data within a reference time interval. The spike image generator generates a second signal including spike signals being selected based on a weight among the spike signals of the first signal. The image converter converts the spike signals of the second signal to generate third data being represented in an analog domain. The image discriminator provides the spike image generator with result data being associated with a difference between a value of the third data and a value of the second data. The image generator determines the weight based on the result data.
Abstract:
An interface device for performing on-off keying (OOK) modulation and a transmitter using the interface are disclosed. The interface device includes a first inverter and a second inverter. The first inverter outputs a signal to a first output terminal based on a digital baseband signal when the digital baseband signal is applied thereto. The second inverter outputs a signal to a second output terminal based on a signal obtained by inverting the phase of the digital baseband signal when the digital baseband signal is applied thereto.
Abstract:
Provided is a radioisotope battery. A radioisotope battery according to exemplary embodiments may include: a substrate; a shield layer disposed on the substrate and including a first material; a source layer embedded in the shield layer and including a second material which is a radioisotope of the first material; a PN junction layer on the shield layer and the source layer; and a window layer between the PN junction layer and the source layer.
Abstract:
Provided are a random number generating device and an operating the same. The random number generating device includes a particle detector, a pulse generator, a clock counter, and a random number converter. The particle detector detects particles emitted from a radioactive isotope. The pulse generator generates pulses corresponding to the particles. The clock counter counts the number of clocks during time intervals between the pulses and generates a plurality of count values. The random number converter adjusts a clock frequency, based on a minimum value and a maximum value of the plurality of count values and converts a target count value generated depending on the adjusted clock frequency into a random number.