Abstract: The present invention relates to a composition for promoting myogenesis, containing, as an active ingredient, a processed ginseng extract in which a trace amount of a ginsenoside ingredient is increased. It has been ascertained that the processed ginseng extract promotes the differentiation of myoblasts into muscle and inhibits muscle atrophy caused by myostatin, which is a myogenesis inhibitory factor, and thus it is expected that a composition for preventing or treating muscle disorder-related diseases, having excellent effects, can be developed.

Abstract: Artificial blood for reproducing an expectorated blood spatter according to an embodiment includes maple syrup, water, and food coloring.

Abstract: A method of mathematically estimating the center of a position trajectory of an object generating a swing cast-off spatter includes obtaining position coordinates of a plurality of bloodstains to be analyzed, calculating collision angles of the plurality of bloodstains, generating straight lines based on the position coordinates and collision angles of the plurality of bloodstains, generating a triangle by selecting three of the generated straight lines, and generating an escribed circle of the triangle and calculating center coordinates and a radius length of the escribed circle.

Abstract: A semiconductor system includes a controller configured to apply a command address, a first chip selection signal, and a second chip selection signal, and a semiconductor device including a first rank and a second rank configured to calibrate each termination resistance, based on the command address, the first chip selection signal, and the second chip selection signal.

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: 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 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 muscular strength assisting apparatus includes a muscular strength assisting portion that assists a user's muscular strength and a first connecting link including one side connected to one side of the muscular strength assisting portion and an opposite side rotatable relative to a shoulder of the user about a first rotation axis. The muscular strength assisting portion includes an upper arm module that assists muscular strength of an upper arm of the user and a link assembly including one side connected to one side of the upper arm module to be rotatable about a second rotation axis non-parallel to the first rotation axis and an opposite side disposed adjacent to a portion of a body of the user to be supported on the user.

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: The present disclosure relates to a novel human antibody or an antigen-binding fragment thereof that recognizes the SMO (smoothened) protein as an antigen and binds specifically thereto. The antibody of the present disclosure binds specifically to the SMO protein, which is directly involved in major cancer progression processes such as proliferation, migration, invasion and metastasis of cancer cells, and blocks the progression those processes. Therefore, it can be usefully used as a therapeutic agent for various cancers such as colon cancer, etc., resistant cancer, metastatic cancer, or recurrent cancer.

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: The present disclosure discloses an image/video feature descriptor extraction method and apparatus for image/video search. An image/video feature descriptor extraction method may comprise obtaining a search requested image/video from a user, performing spatio-temporal transformation on the search requested image/video, extracting a feature map from the image/video subjected to the spatio-temporal transformation, and extracting an image/video feature descriptor by applying TNIP (Temporal Nested Invariance Pooling) to the feature map.

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.

Abstract: The present disclosure relates to an artificial intelligence-based similar sound source search system and method for searching for a matching sound source by identifying timbre, pitch, and chord information using a convolutional neural network (CNN) and comprises a sound source input unit, a sound source analysis unit, a sound source information extraction unit, and a matching sound source search unit.

Abstract: A method and apparatus for encoding/decoding audio signal are provided. The encoding method includes transforming an input audio signal in a time domain into an audio signal in a frequency domain, quantizing energy of a frequency band of the audio signal in the frequency domain, generating a normal signal by normalizing the audio signal in the frequency domain according to quantized energy, obtaining a feature vector including information on the energy of the frequency band based on the normal signal and the input audio signal, quantizing the feature vector, obtaining a scale factor used to scale the normal signal based on the quantized feature vector, quantizing an adjustment signal into which the normal signal has been scaled based on the scale factor, and outputting bitstreams based on the quantized energy, the quantized feature vector, and the quantized adjustment signal.