Abstract:
The present disclosure relates to a pulse radar device comprising a memory that includes a first memory and a second memory, each storing a scan vector. The device also includes a clock generator that produces a transmission clock signal and a reception clock signal. The reception clock signal is generated by delaying the transmission clock signal by a clock delay value. Furthermore, the device includes a transmitter that generates a transmission pulse by accepting the transmission clock signal from the clock generator and emits the pulse. Additionally, the device includes a receiver that receives an echo pulse reflected from a target by accepting the reception clock signal from the clock generator. The receiver then calculates the received echo pulse to generate a representative scan vector.
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.
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:
A high-speed motion estimation method for estimating a motion of a picture at high speed in a high-speed motion estimation apparatus including an integer-times motion estimation unit and a decimal-times motion estimation unit. The integer-times motion estimation unit (1) receives pixel data of a picture for estimation of motion from an external frame memory, (2) stores pixel data of a current region in a current macroblock storage where multiple inputs/outputs are made, (3) stores pixel data of an estimation region in an estimation region macroblock storage of a sharable multiple input/output bank type, and (4) predicts an integer-times motion vector using both stored pixel data. The decimal-times motion estimation unit reads the pixel data of the estimation region from the estimation region macroblock storage which is sharable, and predicts a decimal-times motion vector using the read pixel data of the estimation region and the integer-times motion vector.
Abstract:
Disclosed is an entropy generation apparatus, which includes a detector that detects particles emitted from the radiation source to generate a detection signal; a preamplifier that amplifies the detection signal to generate an amplified signal; a filter that filters the amplified signal to generate a filtered signal; and a comparator that generates a pulse based on a result of comparing the filtered signal with a threshold value.
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:
Provided is a neuromorphic system including a memory configured to store a plurality of weights, a potentiation unit configured to receive an input signal, generate a positive voltage on a basis of a first weight corresponding to the input signal among the plurality of weights, and accumulate the generated positive voltage to output a potentiation unit voltage, a depression unit configured to receive the input signal, generate a negative voltage on a basis of the first weight, and accumulate the generated negative voltage to output a depression unit voltage, and a firing unit configured to combine the potentiation unit voltage and the depression unit voltage to generate an internal voltage, and fire on a basis of a comparison result of the internal voltage and a threshold value.
Abstract:
The present invention provides a fast prediction mode determination method of a video encoder that may remove an unnecessary operation of an encoder by selectively terminating early or omitting a splitting process and a pruning process based on a probability distribution of rate-distortion values, and thereby enables the encoder to quickly determine a prediction mode. The present invention may include a method that may adaptively change a termination and omission determination criterion of the splitting process and the pruning process based on a characteristic of an input image. When using the method provided by the present invention, reliability regarding the termination and omission determination of the splitting process and the pruning process may be set and thus, it is possible to adjust the tradeoff between a decrease in an operation amount and a quality degradation of the encoder.