Abstract: Provided is a multiplier-accumulator (MAC) system, circuit, and method. The MAC system includes a MAC circuit, including a plurality of resistors, having respective resistances, a capacitor connected to the plurality of resistors to charge, in response to a plurality of input signals, the capacitor with electric charge, and a time-to-digital converter (TDC) configured to convert information of a charge time of the capacitor, due to the electric charge, into a digital value, wherein the digital value is an accumulation result of the MAC circuit.

Abstract: The present disclosure relates to a vehicle and a parking control method therefor which can prevent a parking curb or a driving system from being damaged during parking due to collision with the parking curb or running over the parking curb according to creep torque imitation by an electric motor in a vehicle equipped with the electric motor. A parking control method includes determining whether a parking situation occurs, applying a creep torque modification coefficient to a creep torque until contact with an object that applies a reaction force to a wheel in a parking direction is sensed to determine a modified creep torque upon determining the parking situation, and variably controlling the creep torque by applying a variable coefficient to the modified creep torque.

Abstract: Disclosed are an apparatus and method with neural processing. The operating method includes constructing a neuron array including a plurality of neuron modules, mapping a target pattern to the neuron array, adapting the neuron modules to the target pattern in response to a reception of the target pattern, and training the neuron modules to cause the neuron array to mimic the target pattern.

Abstract: An impedance measuring apparatus is disclosed. The impedance measuring apparatus includes an input current generator configured to generate a sinusoidal input signal of a carrier frequency, a first electrode configured to apply the sinusoidal input signal to an object which has an impedance, a second electrode configured to receive an amplitude modulated signal from the object, a first amplifier configured to amplify the received amplitude modulated signal and output a first amplified signal, a baseline signal subtractor configured to subtract a baseline signal generated based on the first amplified signal from the amplitude modulated signal and output a subtraction modulated signal, an analog-to-digital converter (ADC) configured to convert the subtraction modulated signal to a digital modulated signal, and an impedance measurer configured to measure the impedance based on the digital modulated signal.

Abstract: A bioprocessing device performing an operation based on cultured biological neurons includes: an electrode layer comprising electrodes connected to the biological neurons; circuit layers, stacked with the electrode layer, comprising stacked circuits for the biological neurons; and inter-layer connectors configured to connect the electrode layer and the circuit layers.

Abstract: A wireless power relay apparatus includes: a first antenna configured to wirelessly receive an alternating current (AC) power signal of a first frequency from a wireless power transmission apparatus; a rectifier configured to convert the received AC power signal into a direct current (DC) power; a storage device configured to store electric energy of the DC power output from the rectifier; a power oscillator configured to generate an AC power signal of a second frequency based on an output current of the rectifier and electric energy of a DC voltage stored in the storage device; and a second antenna configured to transmit the AC power signal of the second frequency to a wireless power reception apparatus.

Abstract: A multiply-accumulate (MAC) computation circuit includes: a source bit cell block configured to determine a MAC operation result of an input signal based on a plurality of source bit cells; a replica bit cell block comprising a plurality of replica bit cells corresponding to the plurality of source bit cells; and a readout circuit configured to read out a digital value of the MAC operation result using the replica bit cell block.

Abstract: A multiply-accumulate (MAC) computation circuit includes: a bit-cell array configured to generate an analog output corresponding to a MAC operation result of an input signal; a first analog-to-digital conversion (ADC) circuit configured to determine an upper part of a digital output corresponding to the analog output; and a second ADC circuit configured to determine a lower part of the digital output based on a reference voltage corresponding to the upper part.

Abstract: A neural network apparatus includes: a first processing circuit and a second processing circuit each configured to perform a vector-by-matrix multiplication (VMM) operation on a weight and an input activation; a first register configured to store an output of the first processing circuit; an adder configured to add an output of the first register and an output of the second processing circuit; a second register configured to store an output of the adder; and an input circuit configured to input a same input activation to the first processing circuit and the second processing circuit and control the first processing circuit and the second processing circuit.

Abstract: An electronic apparatus includes: an external coil connected via a pair of a first feed-through portion and a second feed-through portion to a communication circuit, the external coil comprising a first coil part and a second coil part disposed outside a housing; a wireless power transmission circuit; an electrode signal processing circuit included in the housing; an external capacitor disposed outside the housing and connected between the first coil part and the second coil part; a first electrode connected to the first coil part at one end of the external capacitor; and a second electrode connected to the second coil part at another end of the external capacitor.

Abstract: An electrical stimulation apparatus includes: a cell cluster container comprising a cell cluster configured to secrete an active material; an indicator container comprising an indicator; a controller configured to apply a stimulation voltage to the cell cluster container based on a sensing signal received from the indicator container; a first entrance connected to the cell cluster container and configured to allow either one or both of the cell cluster to be retracted and a new cell cluster to be injected; and a second entrance connected to the indicator container and configured to allow either one or both of the indicator to be retracted and a new indicator to be injected.

Abstract: The present invention relates to a kit for concentrating low-concentration air pollutants, and to a concentration kit for concentrating low-concentration air pollutants, and then desorbing same so as to detect the components and concentrations of the pollutants. The present invention comprises: a sensor positioned on a channel in which gas moves, so as to detect pollutants in the gas; and a concentration part, which comprises an adsorbent for adsorbing and desorbing the pollutants in the gas moving to the sensor, so as to transfer concentrated pollutants to the sensor.

Abstract: Disclosed herein is a method of controlling a vehicle driving depending on a baby mode, including activating an apparatus for automatically controlling and limiting a speed of a vehicle, and determining a state of a car seat when the car seat is installed, correcting a speed profile of the apparatus for automatically controlling and limiting the speed of the vehicle based on the state of the car seat, determining whether the vehicle enters a turning section, when the vehicle enters the turning section, performing at least one of turning section acceleration control or turning section deceleration control based on the state of the car seat, and determining whether the vehicle passes through the turning section after performing at least one of the turning section acceleration or deceleration.

Abstract: A vehicle driving control method depending on a baby mode, may include, when the baby mode is activated, receiving information on a state of a vehicle seat, correcting a center state of charge (SOC) value of a battery of the vehicle based on the information on the state of the vehicle seat, determining a state of a transmission of the vehicle, and performing regenerative brake and brake pedal stroke (BPS) scale/filtering correction control or an electric vehicle (EV) mode and accelerator position sensor (APS) scale/filtering correction control based on the state of the transmission of the vehicle and the state of the vehicle seat.

Abstract: The present invention relates to a VOC reduction system and a VOC reduction method that applies pulse type thermal energy to a catalyst to activate the catalyst and oxidizes and removes the VOC.

Abstract: An engine start controller for a hybrid vehicle and a method thereof are provided. The engine start controller includes a hybrid starter generator (HSG) that is connected to an engine by a belt, a sensor that is configured to measure an HSG speed, and a processor that applies a starting torque to the HSG. When starting the engine, the processor calculates an HSG speed estimated based on the applied starting torque and calculates an amount of slip of the belt using the HSG speed. In addition, the processor calculates a torque change rate correction value based on the calculated amount of slip, and corrects a rate of change rate in the starting torque based on the torque change rate correction value.

Abstract: A device for projecting an image on a surface of an object includes an extracting unit configured to extract information about a plurality of lines from an image of the object based on depth information and color information extracted from the image of the object; an image projection distortion information deriving unit configured to derive image projection distortion information about the surface of the object based on the information about the plurality of lines; and a projecting unit configured to project a content image on the surface of the object based on the derived image projection distortion information.

Abstract: A method for generating realistic content based on a motion of a user includes generating a video of the user by means of a camera, recognizing a hand motion of the user from the generated video, deriving hand coordinates depending on the shape and position of a hand based on the recognized hand motion, outputting a picture on an output screen based on the derived hand coordinates, pre-processing the output picture based on a correction algorithm, and generating realistic content from the pre-processed picture based on a deep learning model.

Abstract: A device for projecting an image on a surface of an object includes an extracting unit configured to extract information about a plurality of lines from an image of the object based on depth information and color information extracted from the image of the object; an image projection distortion information deriving unit configured to derive image projection distortion information about the surface of the object based on the information about the plurality of lines; and a projecting unit configured to project a content image on the surface of the object based on the derived image projection distortion information.

Abstract: Disclosed is an apparatus and method mapping a natural neural network into an electronic neural network device of an electronic device. The method includes constructing a neural network map of a natural neural network based on membrane potentials of a plurality of biological neurons of the natural neural network, where the membrane potentials correspond to at least two different respective forms of membrane potentials, and mapping the neural network map to the electronic neural network device. The constructing of the neural network map and the mapping of the neural network map implement learning of the electronic neural network device. The method may further includes obtaining an input or stimuli, activating the learned electronic neural network device, provided the obtained input or stimuli, to perform neural network operations, and generating a neural network result for the obtained input or stimuli based on a result of the activated learned electronic neural device.