Abstract: The present disclosure provides a battery inspection device and a battery inspection method. The battery inspection device includes: a plasma application unit irradiating plasma to a test object while being moved in a predetermined direction; a signal acquisition unit contacting the test object and electrically connected thereto, and receiving an electrical signal induced by plasma; and a control unit controlling the plasma application unit and the signal acquisition unit, wherein the control unit determines whether damage has occurred to the exterior of the test object by analyzing a waveform derived from the electrical signal received from the signal acquisition unit.

Abstract: The present invention relates to an apparatus and method for providing virtual reality-based eye movement exercise and visual perception training, wherein a dichoptic presentation is provided in consideration of the deviation of a user's eyeball so as to prevent additional damage to stereoscopic vision due to suppression, and is provided by adjusting the degree of difficulty by changing the locations of visual stimuli on the basis of the level of deviation and training capability of the user, thus making it possible for the user to not only receive training suitable for the user's condition, but also simultaneously undergo visual perception training including eye exercise (movement) training and stereoscopic perception recognition.

Abstract: A device for manufacturing a battery, the device including a lower die configured to support an electrode, an upper die above the lower die and connected to the lower die while vertically spaced therefrom, a lift configured to move the upper die upward or downward, a punch on the upper die and inserted into the lower die to perform machining of the electrode, a sensor configured to detect a state of the punch, a controller configured to receive a detection signal of the sensor and monitor an insertion amount of the punch and a corrector configured to correct a height of the punch according to a control signal of the controller.

Abstract: A method and apparatus for encoding/decoding a neural network-based personalized speech are provided. The method includes outputting a first bit stream in which an input speech signal is encrypted, based on the input speech signal, and outputting a second bit stream in which speaker information of the input speech signal is encrypted, based on the input speech signal.

Abstract: Disclosed are a device and method for audio signal processing. The audio signal processing device according to an embodiment includes a receiver configured to receive a bitstream corresponding to a compressed audio signal and a processor. The processor may be configured to generate a real restoration signal or a complex restoration signal by performing inverse quantization on real data of the bitstream or complex data of the bitstream, generate a result of real Frequency Domain Noise Shaping (FDNS) synthesis or a result of complex FDNS synthesis by performing FDNS synthesis on the real restoration signal or the complex restoration signal, and generate a restored audio signal by performing frequency-to-time transform on the result of the real FDNS synthesis or the result of the complex FDNS synthesis.

Abstract: A method and device for encoding/decoding an audio signal based on dequantization through potential diffusion are provided. The method of decoding an audio signal includes obtaining a discrete latent vector in which a speech signal is quantized and based on the discrete latent vector, outputting a continuous latent vector in which the discrete latent vector is dequantized.

Abstract: An embodiment joint structure for a vehicle body includes a front body module that is a stationary part fixable to a front part of an under body of the vehicle body, a rear body module that is a variable part having a preset shape, the rear body module being attachable to and detachable from a rear part of the under body and a rear part of the front body module, a plurality of stationary part coupling modules disposed on an upper end surface portion of a rear edge of the front body module, and a plurality of variable part coupling modules disposed on an upper end surface portion of a front edge of the rear body module and couplable to the stationary part coupling modules by an electromagnetic force.

Abstract: An analog-to-digital converter is provided. An analog-to-digital converter comprises an interleaver receiving and processing an input signal that is an analog signal and a plurality of sub-ADCs, wherein the interleaver includes a reference circuit outputting a second voltage based on a first voltage, a high-pass filter receiving the second voltage and outputting a first signal obtained by changing a common mode voltage of the input signal to the second voltage, a sampling circuit generating a second signal obtained by sampling an alternate current component of the first signal, and a buffer outputting a third signal obtained by buffering the second signal by using a buffering circuit, and the sub-ADC converts the third signal into a digital signal by using the first voltage.

Abstract: An embodiment joint structure of a vehicle body includes a front body module fixed to a front portion of a center floor member of an underbody of the vehicle body, wherein the front body module is a fixed part, a rear body module detachably fixed to a rear portion of the center floor member and a rear portion of the front body module in a set shape, wherein the rear body module is a variable part, a plurality of center floor member coupling modules disposed on the center floor member at the rear portion of the front body module, and a plurality of variable part coupling modules disposed at a lower side of the rear body module and configured to be coupled to the center floor member coupling modules by electromagnetic force.

Abstract: Provided is a method and apparatus for designing and testing an audio codec using quantization based on white noise modeling. A neural network-based audio encoder design method includes generating a quantized latent vector and a reconstructed signal corresponding to an input signal by using a white noise modeling-based quantization process, computing a total loss for training a neural network-based audio codec, based on the input signal, the reconstruction signal, and the quantized latent vector, training the neural network-based audio codec by using the total loss, and validating the trained neural network-based audio codec to select the best neural network-based audio codec.

Abstract: An encoding method, a decoding method, an encoder for performing the encoding method, and a decoder for performing the decoding method are provided. The encoding method includes outputting LP coefficients bitstream and a residual signal by performing an LP analysis on an input signal, outputting a first latent signal obtained by encoding a periodic component of the residual signal, a second latent signal obtained by encoding a non-periodic component of the residual signal, and a weight vector for each of the first latent signal and the second latent signal, using a first neural network module, and outputting a first bitstream obtained by quantizing the first latent signal, a second bitstream obtained by quantizing the second latent signal, and a weight bitstream obtained by quantizing the weight vector, using a quantization module.

Abstract: The present disclosure provides a location information acquisition method of a computing device, including the steps of: acquiring first location information at which an electro-optical topographic surveying device is located in response to a received satellite Global Navigation Satellite System (GNSS) signal; acquiring photography information for positioning of a target object photographed by a drone while the drone is flying in a GNSS shadow area from the drone equipped with a survey prism that reflects light waves from the surveying device; calculating absolute coordinates of the target object corresponding to the surveying device based on reflective metering of the survey prism and the photography information for positioning; and calculating GNSS based second location information as location information of the target object using the absolute coordinates and the first location information.

Abstract: An over-soldering prevented tabbing device for manufacturing solar cell modules is disclosed in which the over-soldering is prevented from occurring in the tabbing device for performing the soldering process in manufacturing the solar cell modules. The over-soldering prevented tabbing device according to an embodiment of the present disclosure includes a solar cell module cell that is transported on a conveyor by a unit of cell; a soldering head installed above the solar cell module cell and having a built-in heat source that provides heat to solder the flux coated on the transported solar cell module cell; a driver reciprocating the soldering head in a direction in which the conveyor moves; and a controller controlling the driver.

Abstract: A method for preparing isopropyl alcohol is provided. The method includes passing reaction water through a first heat exchanger and a second heat exchanger to heat the reaction water, supplying the reaction water having passed through the second heat exchanger to a reactor as a feed stream with a propylene monomer to produce a gaseous reaction product including isopropyl alcohol (IPA), purifying isopropyl alcohol from the gaseous reaction product and recovering process water, and passing the process water through the second heat exchanger to cool the process water, and transferring a portion of the cooled process water to the first heat exchanger, wherein the reaction water is brought into contact with the portion of the cooled process water in the first heat exchanger for primary heating, and then brought into contact with the process water in the second heat exchanger for secondary heating.

Abstract: An audio signal encoding and decoding method using a neural network model, and an encoder and decoder for performing the same are disclosed. A method of encoding an audio signal using a neural network model, the method may include identifying an input signal, generating a quantized latent vector by inputting the input signal into a neural network model encoding the input signal, and generating a bitstream corresponding to the quantized latent vector, wherein the neural network model may include i) a feature extraction layer generating a latent vector by extracting a feature of the input signal, ii) a plurality of downsampling blocks downsampling the latent vector, and iii) a plurality of quantization blocks performing quantization of a downsampled latent vector.

Abstract: A method of encoding/decoding a speech signal and a device for performing the same are provided. The method includes outputting, based on a first input speech signal of a previous timepoint and a second input speech signal of a current timepoint, a predicted signal that predicts the second input speech signal from the first input speech signal and obtaining, based on the second input speech signal and the predicted signal, a residual signal by removing a correlation between the first input speech signal and the second input speech signal from the second input speech signal.

Abstract: Methods and systems for providing contents may be provided. A method of providing contents may include specifying contents to be serialized on a specific day of a week, among a plurality of contents each serialized with reference to a day of the week, calculating a popularity ranking for each of the specified contents, selecting, using the popularity ranking, a ranking-boosting content satisfying a ranking condition among the specified contents, and providing, on a user terminal, items corresponding to each of the specified contents, wherein the providing includes displaying ranking-boosting information related to ranking-boosting on an item corresponding to the ranking-boosting content, among the items corresponding to each of the specified contents. Accordingly, information on contents that is serialized with respect to a specific day of the week may be more effectively provided.

Abstract: A method of encoding/decoding an audio signal and a device for performing the same are provided. The method of encoding an audio signal includes generating, based on the audio signal, a linear prediction coding (LPC) bitstream and a frequency-domain signal of the audio signal, generating, based on the LPC bitstream and the frequency-domain signal, a first residual signal including information on a frequency envelope of the frequency-domain signal, and outputting a second residual signal by processing a first residual signal through one of a plurality of signal processing paths.

Abstract: A cleaning unit includes a gas spray part arranged above a substrate to be cleaned, and sprays a gas toward the substrate in order to separate a contaminant on the substrate from the substrate, and a suction part provided on a side of the gas spray part, and including an inlet suctioning and removing the contaminant that is separated from the substrate.

Abstract: Provided is an encoding method according to various example embodiments and an encoder performing the method. The encoding method includes outputting a linear prediction (LP) coefficients bitstream and a residual signal by performing a linear prediction analysis on an input signal, outputting a first latent signal obtained by encoding a periodic component of the residual signal, using a first neural network module, outputting a first bitstream obtained by quantizing the first latent signal, using a quantization module, outputting a second latent signal obtained by encoding an aperiodic component of the residual signal, using the first neural network module, and outputting a second bitstream obtained by quantizing the second latent signal, using the quantization module, wherein the aperiodic component of the residual signal is calculated based on a periodic component of the residual signal decoded from the quantized first latent signal output by de-quantizing the first bitstream.