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.
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:
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 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:
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.
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:
Disclosed are an electric power conversion apparatus and method in an energy harvesting system. In more detail, it is possible to obtain the maximum electric power from the plurality of energy sources by selecting the connection structure between the source terminals or the connection structure between the source terminals and the collection terminals using the electrical characteristic values (for example, open voltage, short current, and internal impedance) of each source and adjusting the load impedance in the selected connection structure in the energy harvesting system.
Abstract:
Disclosed is a spiking neural network circuit, which includes an axon circuit that generates first and second input spike signals, a synapse circuit that generates a first current based on the first input spike signal and a weight and generates a second current based on the second input spike signal and the weight, a capacitor that forms a first membrane voltage based on the first current, and a neuron circuit including a comparator and that resets the first membrane voltage, and after the capacitor further forms a second membrane voltage based on the second current, and the comparator includes a first input terminal and a second input terminal, receives the first membrane voltage through the first input terminal and a reference voltage through the second input terminal, generates a first spike signal based on a first comparison operation of the first membrane voltage and the reference voltage.
Abstract:
Disclosed is a spiking neural network circuit, which includes an axon circuit that generates an input spike signal, a synapse circuit that outputs a current based on the input spike signal and a weight, a capacitor that forms a membrane voltage based on the current, and a neuron circuit that generates an output spike signal based on the membrane voltage, and the neuron circuit includes a first comparator that generates an intermediate spike signal based on the membrane voltage and a first reference voltage, and a second comparator that generates the output spike signal based on the intermediate spike signal, the membrane voltage, and a second reference voltage that is different from the first reference voltage.
Abstract:
Disclosed is a neuron circuit, which includes a first bias circuit that adds a bias current to an input current to generate a biased input current, a logarithm-based neuron calculation circuit that performs a logarithm calculation on an amount of current of the biased input current to generate an input logarithm value and generates a biased output voltage by performing a logarithm-based Hodgkin-Huxley model calculation based on the input logarithm value, and a second bias circuit that adds a bias voltage to the biased output voltage to generate an output voltage.