Abstract: An embodiment core molding system includes an upper hopper partitioned to define a first accommodating part that accommodates first core sand coated with an organic binder and a second accommodating part that accommodates pure sand, a lower hopper disposed under the upper hopper and connected to the first and second accommodating parts, the lower hopper being configured to measure weights of the first core sand and the pure sand, a mixer connected to the lower hopper, wherein the mixer is configured to allow the first core sand to pass directly therethrough and to accommodate the pure sand, a binder supply unit connected to the mixer and configured to supply an inorganic binder into the mixer, and a core mold configured to mold each of the first core sand and second core sand into a preset shape, the second core sand including the pure sand coated with the inorganic binder.

Abstract: The present disclosure relates to a non-transitory storage medium for storing program code and a method of executing an artificial intelligence (AI) pipeline non-fungible token (NFT). The program code is executed by a hardware processor to mint a blockchain-based NFT including ownership information of the AI pipeline, request an execution of the program code performing a predetermined function in an event node executing the AI pipeline according to a request of execution of an NFT owner, connect to at least one worker node to execute a target AI pipeline of the NFT, receive an execution result value of the worker node to record a proof-of-work for the execution result value in the event node, and collect the execution result value of the worker node on which the proof-of-work is performed is performed to change a blockchain state.

Abstract: A braking control apparatus includes a first controller that brakes a vehicle depending on an output signal generated by a first pedal stroke sensor according to a stroke of a brake pedal, a second controller that brakes the vehicle depending on an output signal generated by a second pedal stroke sensor, a third controller that calculates a regenerative brake torque for regenerative braking of the vehicle and brakes the vehicle, and an electric parking brake (EPB) that generates a parking braking force of the vehicle. Any one of the first controller, the second controller, or the third controller controls the regenerative braking or the parking braking force to brake the vehicle, depending on whether at least one of the first controller or the second controller is in a normal state.

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

Abstract: Disclosed is an apparatus and method for processing a multichannel audio signal. A multichannel audio signal processing method may include: generating an N-channel audio signal of N channels by down-mixing an M-channel audio signal of M channels; and generating a stereo audio signal by performing binaural rendering of the N-channel audio signal.

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: Provided is an apparatus and method for encoding/decoding a moving picture based on adaptive scanning. The moving picture apparatus and method can increase a compression rate based on adaptive scanning by performing intra prediction onto blocks of a predetermined size, and scanning coefficients acquired from Discrete Cosine Transform (DCT) of a residue signal and quantization differently according to the intra prediction mode. The moving picture encoding apparatus includes: a mode selector for selecting and outputting a prediction mode; a predictor for predicting pixel values of pixels to be encoded of an input video based on the prediction mode to thereby output a residue signal block; a transform/quantization unit for performing DCT onto the residue signal block and quantizing the transformed residue signal block; and an encoder for adaptively scanning and encoding the quantized residue signal block based on the prediction mode.

Abstract: An apparatus for determining electrical melting traces by direct current and alternating current in wires based on deep learning includes an image obtaining unit configured to obtain a wire image including an electrical melting trace, a trained model application unit configured to calculate a probability (determination probability) of determining the electrical melting trace as an electrical melting trace by direct current or alternating current by applying a pre-trained model, and a determination unit configured to determine the electrical melting trace according to a set determination condition.

Abstract: A deep learning-based fuse state determination apparatus includes an image obtaining unit configured to obtain a fluoroscopic image of an object including a fuse, a fuse area extraction unit configured to extract a fuse area from the fluoroscopic image of the object, a trained model application unit configured to calculate a probability (determination probability) of determining a fuse state of the extracted fuse area as a fuse state of set classification by applying a pre-trained model, and a fuse state determination unit configured to determine the fuse state of the extracted fuse area according to a set determination condition.

Abstract: A wire melting trace photographing apparatus according to an embodiment includes a wire fixing member connected to one side of a wire including a melting trace and fixing the wire, and a photographing member capable of photographing the melting trace in a circumferential direction of the wire. A deep learning-based electric wire-melting trace determination apparatus according to an embodiment includes an image obtaining unit configured to obtain a wire image for each rotation angle, a trained model application unit configured to calculate a determination probability of the wire image for each rotation angle, a melting trace analysis unit configured to analyze information related to a determination probability of a melting trace included in the wire, and a melting trace determination unit configured to determine the melting trace included in the wire according to a set determination condition.

Abstract: Provided is an apparatus and method for encoding/decoding a moving picture based on adaptive scanning. The moving picture apparatus and method can increase a compression rate based on adaptive scanning by performing intra prediction onto blocks of a predetermined size, and scanning coefficients acquired from Discrete Cosine Transform (DCT) of a residue signal and quantization differently according to the intra prediction mode. The moving picture encoding apparatus includes: a mode selector for selecting and outputting a prediction mode; a predictor for predicting pixel values of pixels to be encoded of an input video based on the prediction mode to thereby output a residue signal block; a transform/quantization unit for performing DCT onto the residue signal block and quantizing the transformed residue signal block; and an encoder for adaptively scanning and encoding the quantized residue signal block based on the prediction mode.

Abstract: The present invention relates to a method and apparatus for encoding a displacement video using image tiling. A method for encoding multi-dimensional data according to an embodiment of the present disclosure may comprise: converting the multi-dimensional data into one or more frames with two-dimensional characteristics; generating one or more frame groups by grouping the one or more frames with pre-configured number units; reconstructing frames belonging to each frame group into a tiled frame; and generating a bitstream by encoding the tiled frame. Here, the tiled frame may be constructed with one or more blocks, and each block may be constructed by rearranging pixels existing at the same location in the frames.

Abstract: Disclosed herein are a method, an apparatus and a storage medium for image encoding/decoding using a segmentation map. A feature vector for an image may be extracted using a segmentation map. The image may be encoded using the segmentation map and the feature vector. An output stream from an encoding apparatus may include a video stream and a feature stream. An input stream to a decoding apparatus may include a video stream and a feature stream. The image may be reconstructed using a reconstructed segmentation map and a reconstructed feature vector.

Abstract: A developed impact mark analysis apparatus includes: an image acquisition unit configured to obtain at least one first image by photographing impact marks that are developed, and to obtain a second image of impact marks at a crime scene that are developed from evidence at the crime scene; an outliner configured to outline the at least one first image to obtain at least one first outline image, and to outline the second image to obtain a second outline image; a database configured to store the first outline image corresponding to related tool characteristic information; a matching unit configured to search the database for the first outline image determined to be similar to the second outline image and match them with each other; a display unit; and a user input unit.

Abstract: Disclosed herein are an apparatus and method for detecting a keypoint based on deep learning robust to scale changes based on information change across receptive fields. The apparatus for detecting a keypoint based on deep learning robust to scale changes based on information change across receptive fields includes a feature extractor for extracting a feature from an input image based on a pre-trained deep learning neural network, an information accumulation pyramid module for outputting, from the feature, at least two filter responses corresponding to receptive fields having different scales, an information change detection module for calculating an information change between the at least two filter responses, a keypoint detection module for creating a score map having a keypoint probability of each pixel based on the information change, and a continuous scale estimation module for estimating a scale of a receptive field having a biggest information change for each pixel.

Abstract: Disclosed herein are a microorganism with excellent deacetoxycephalosporin C (DAOC) productivity and a use thereof. A mutant microorganism with improved DAOC productivity and a use thereof for producing 7-aminodeacetoxycephalosporanic acid (7-ADCA) are provided.

Abstract: A fingerprint ridge digital enhancement apparatus includes: a fingerprint image obtainer configured to obtain a fingerprint image; a pixel value extractor configured to divide an area with ridges and an area without ridges in the fingerprint image, and to extract a pixel value according to a color model for each area; an outlier detector configured to detect an outlier of the pixel value according to the color model for each area; a correction operator configured to calculate the average and standard deviation of pixel values according to the color model for each area from which the outlier is removed; a parameter operator configured to set a parameter that is a criterion for dividing each area, and to operate a reference value of the parameter; and a matrix operator configured to generate and operate a matrix including the pixel value according to the color model of the fingerprint image and the reference value of the parameter.

Abstract: The present invention relates to a method and apparatus for encoding a displacement video using image tiling. A method for encoding multi-dimensional data according to an embodiment of the present disclosure may comprise: converting the multi-dimensional data into one or more frames with two-dimensional characteristics; generating one or more frame groups by grouping the one or more frames with pre-configured number units; reconstructing frames belonging to each frame group into a tiled frame; and generating a bitstream by encoding the tiled frame. Here, the tiled frame may be constructed with one or more blocks, and each block may be constructed by rearranging pixels existing at the same location in the frames.

Abstract: An encoding/decoding apparatus and method for controlling a channel signal is disclosed, wherein the encoding apparatus may include an encoder to encode an object signal, a channel signal, and rendering information for the channel signal, and a bit stream generator to generate, as a bit stream, the encoded object signal, the encoded channel signal, and the encoded rendering information for the channel signal.

Abstract: The present invention discloses an encoding apparatus using a Discrete Cosine Transform (DCT) scanning, which includes a mode selection means for selecting an optimal mode for intra prediction; an intra prediction means for performing intra prediction onto video inputted based on the mode selected in the mode selection means; a DCT and quantization means for performing DCT and quantization onto residual coefficients of a block outputted from the intra prediction means; and an entropy encoding means for performing entropy encoding onto DCT coefficients acquired from the DCT and quantization by using a scanning mode decided based on pixel similarity of the residual coefficients.