Abstract: In one aspect, an electric furnace is provided with a double type melting furnace, which includes: a first upper cell that forms a first upper space of a first melting furnace in which a first iron source is introduced and molten; a second upper cell that is disposed in a horizontal direction of the first upper cell and forms a second upper space of a second melting furnace in which a second iron source is introduced and molten; a lower cell that is combined with lower portions of the first upper cell and the second upper cell and forms a single integrated space in which a first lower space of the first melting furnace and a second lower space of the second melting furnace are integrated; and a partition wall unit that is installed to vertically move up and down between the first upper cell and the second upper cell, and separates the first lower space of the first melting furnace and the second lower space of the second melting furnace, although both of the lower spaces are integrally formed by the lower cel

Abstract: A camera module includes a housing, a lens module accommodated in the housing, a first optical image stabilization (OIS) driving unit configured to move the lens module, relative to the housing, in a first direction perpendicular to an optical axis direction, and a second OIS driving unit configured to move the lens module, relative to the housing, in a second direction perpendicular to the optical axis direction and intersecting the first direction, wherein the first OIS driving unit includes first voice coil motors disposed on both sides of the lens module in the first direction, and the second OIS driving unit includes second voice coil motors disposed on both sides of the lens module in the first direction.

Abstract: An apparatus for estimating a SOH according to one aspect of the present disclosure may include a profile obtaining unit configured to obtain an OCV profile for a plurality of OCVs of a battery measured at different time points; a profile correcting unit configured to generate an adjusted positive electrode profile and an adjusted negative electrode profile by adjusting a preset reference positive electrode profile and a preset reference negative electrode profile to correspond to the OCV profile; and a control unit configured to extract a diagnostic factor for the battery from at least one of the adjusted positive electrode profile and the adjusted negative electrode profile, and estimate a SOH of the battery based on the extracted diagnostic factor.

Abstract: Disclosed herein are a Schottky barrier diode (SBD) and a method of manufacturing the same. The SBD includes a substrate, an ohmic layer formed on a portion of an upper portion of the substrate, a Schottky layer formed on a portion of an upper portion of the ohmic layer, an insulating layer formed on a portion of the upper portion of the ohmic layer, a low-k material layer formed on a portion of the upper portion of the substrate, and a Schottky metal layer formed on portions of upper portions of the low-k material layer and the insulating layer.

Abstract: A method by which a server controls plural devices includes receiving a trigger signal generated by a sensor in a home in response to a mobile device being present at a specific location in the home, determining devices corresponding to the specific location by using the trigger signal, receiving context information indicating a situation of a user from the mobile device, selecting context information related to operations of the determined devices from among the received context information by using keywords respectively related to the devices, each of the operations corresponding to each of the devices, and providing the selected context information to the devices respectively so that each of the devices performs the operations.

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 apparatus and a decoding apparatus in a transform between a Modified Discrete Cosine Transform (MDCT)-based coder and a different coder are provided. The encoding apparatus may encode additional information to restore an input signal encoded according to the MDCT-based coding scheme, when switching occurs between the MDCT-based coder and the different coder. Accordingly, an unnecessary bitstream may be prevented from being generated, and minimum additional information may be encoded.

Abstract: A Unified Speech and Audio Codec (USAC) that may process a window sequence based on mode switching is provided. The USAC may perform encoding or decoding by overlapping between frames based on a folding point when mode switching occurs. The USAC may process different window sequences for each situation to perform encoding or decoding, and thereby may improve a coding efficiency.

Abstract: An audio signal processing method, which is executed by a processor electronically communicating with a deep neural network within a computing system, may comprise: acquiring, by the processor, an input signal before encoding and an output signal after quantization and decoding; calculating, by the processor, a perceptual global loss for a frame corresponding to the input and the output signals; acquiring, by the processor, a plurality of subframes corresponding to the input and output signals by applying a windowing function to the frame of the input and output signals; calculating, by the processor, perceptual local losses for the plurality of subframes corresponding to the input and output signals; and acquiring, by the processor, multi-time scale perceptual loss based on the perceptual global and local losses.

Abstract: Provided is an encoding apparatus for integrally encoding and decoding a speech signal and a audio signal, and may include: an input signal analyzer to analyze a characteristic of an input signal; a stereo encoder to down mix the input signal to a mono signal when the input signal is a stereo signal, and to extract stereo sound image information; a frequency band expander to expand a frequency band of the input signal; a sampling rate converter to convert a sampling rate; a speech signal encoder to encode the input signal using a speech encoding module when the input signal is a speech characteristics signal; a audio signal encoder to encode the input signal using a audio encoding module when the input signal is a audio characteristic signal; and a bitstream generator to generate a bitstream.

Abstract: Disclosed is an LPC residual signal encoding/decoding apparatus of an MDCT based unified voice and audio encoding device. The LPC residual signal encoding apparatus analyzes a property of an input signal, selects an encoding method of an LPC filtered signal, and encode the LPC residual signal based on one of a real filterbank, a complex filterbank, and an algebraic code excited linear prediction (ACELP).

Abstract: A Unified Speech and Audio Codec (USAC) that may process a window sequence based on mode switching is provided. The USAC may perform encoding or decoding by overlapping between frames based on a folding point when mode switching occurs. The USAC may process different window sequences for each situation to perform encoding or decoding, and thereby may improve a coding efficiency.

Abstract: Disclosed is an LPC residual signal encoding/decoding apparatus of an MDCT based unified voice and audio encoding device. The LPC residual signal encoding apparatus analyzes a property of an input signal, selects an encoding method of an LPC filtered signal, and encode the LPC residual signal based on one of a real filterbank, a complex filterbank, and an algebraic code excited linear prediction (ACELP).

Abstract: The present invention relates to a chemical looping combustion and carbon dioxide direct reduction (CLC-CDR) integration system and an operation method thereof, particularly to a chemical looping combustion and carbon dioxide direct reduction (CLC-CDR) integration system including: an air reactor, wherein an oxygen carrier particle is oxidized by reacting with injected air and air from which oxygen was partially removed is discharged; a fuel reactor, wherein the oxidized oxygen carrier particle is supplied, a supplied fuel is reacted to reduce the oxidized oxygen carrier particle, and carbon dioxide including H2O is discharged; and a carbon dioxide reduction reactor, wherein the reduced oxygen carrier particle is supplied, supplied carbon dioxide is reacted to discharge carbon monoxide, and the reduced oxygen carrier particle is partially oxidized and supplied to the air reactor.

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: Provided is an encoding apparatus for integrally encoding and decoding a speech signal and a audio signal, and may include: an input signal analyzer to analyze a characteristic of an input signal; a stereo encoder to down mix the input signal to a mono signal when the input signal is a stereo signal, and to extract stereo sound image information; a frequency band expander to expand a frequency band of the input signal; a sampling rate converter to convert a sampling rate; a speech signal encoder to encode the input signal using a speech encoding module when the input signal is a speech characteristics signal; a audio signal encoder to encode the input signal using a audio encoding module when the input signal is a audio characteristic signal; and a bitstream generator to generate a bitstream.

Abstract: The present disclosure relates to a cucurbituril-polyethylenimine-silica complex, a method for preparing the same and a carbon dioxide absorbent containing the same. According to the present disclosure, a cucurbituril-polyethylenimine-silica complex may be prepared by forming a complex wherein a cucurbituril is bound to polyethylenimine and including the same inside silica, and it may be used as a carbon dioxide absorbent with superior thermal stability and prevented formation of urea.

Abstract: Disclosed is an LPC residual signal encoding/decoding apparatus of an MDCT based unified voice and audio encoding device. The LPC residual signal encoding apparatus analyzes a property of an input signal, selects an encoding method of an LPC filtered signal, and encode the LPC residual signal based on one of a real filterbank, a complex filterbank, and an algebraic code excited linear prediction (ACELP).

Abstract: A Unified Speech and Audio Codec (USAC) that may process a window sequence based on mode switching is provided. The USAC may perform encoding or decoding by overlapping between frames based on a folding point when mode switching occurs. The USAC may process different window sequences for each situation to perform encoding or decoding, and thereby may improve a coding efficiency.

Abstract: Provided are an apparatus and a method for integrally encoding and decoding a speech signal and a audio signal. The encoding apparatus may include: an input signal analyzer to analyze a characteristic of an input signal; a first conversion encoder to convert the input signal to a frequency domain signal, and to encode the input signal when the input signal is a audio characteristic signal; a Linear Predictive Coding (LPC) encoder to perform LPC encoding of the input signal when the input signal is a speech characteristic signal; and a bitstream generator to generate a bitstream using an output.