Abstract: The present invention relates to a method for preparing an inorganic compound using desulfurization gypsum for reducing greenhouse gas emissions, and, more specifically, to a method for preparing an inorganic compound, in which calcium sulfate and calcium carbonate, which have various uses as construction materials and the like, can be prepared using, as raw material, desulfurization gypsum which, being a recycled resource, is industrial waste, and an extraction agent, and the extraction agent can be reused after separation, and thus, compared to existing processes, greenhouse gases and manufacturing costs can be remarkably reduced.

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: 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.

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 window includes a window base layer, a high refractive layer disposed on the window base layer, a low refractive layer including hollow silica particles and disposed on the high refractive layer, and a primer coating layer disposed on the low refractive layer. Each of the low refractive layer and the primer coating layer has a refractive index in a range of about 1.4 to about 1.46. The low refractive layer has a thickness in a range of about 50 nm to about 80 nm.

Abstract: The technology of this application relates to a partial power converter that is configured to be connected to at least one photovoltaic panel as inputs and a direct current output bus, the at least one photovoltaic panel generating a direct current. The partial power converter includes a photovoltaic-side converter comprising at least two switching cells, a bus-side converter comprising at least two switching cells, the bus-side converter being configured to switch a total current of the photovoltaic-side converter, an energy storage element connected between the photovoltaic-side converter and the bus-side converter, and an indirect voltage source configured to regulate the energy storage element. The photovoltaic-side converter, the bus-side converter and the energy storage element are connected in parallel between the first node and the second node of the partial power converter.

Abstract: A method for training an image classification model according to an embodiment includes training a feature extractor and a rotation angle classifier to predict a rotation angle of each of unlabeled first training images, training the image classification model to predict a label and rotation angle of each of labeled second training images, but predict a uniform label even though an actual rotation angle of each of the second training images is changed, generating a pseudo label based on a training image that satisfy a preset condition among unlabeled candidate images, and training the image classification model to predict a rotation angle of each of the third training images, and predict a label of each of the third training images based on the pseudo label, but predict a uniform label even though an actual rotation angle of each of the third training images is changed.

Abstract: A method for solving a problem and a system thereof are provided. The method according to some embodiments includes setting at least one current search node on a search tree corresponding to a solution space of a target problem; selecting candidate search nodes from among child nodes of the at least one current search node, a number of the candidate search nodes being equal to a number of items inferred by a machine-trained model; determining at least one next search node from among the candidate search nodes based on results of search simulation for the candidate search nodes; and determining a solution to the target problem based on a result of a search using the at least one next search node.

Abstract: An antenna module includes a first connection member including at least one first wiring layer and at least one first insulating layer; an antenna package disposed on a first surface of the first connection member, and including a plurality of antenna members and a plurality of feed vias; an integrated circuit (IC) disposed on a second surface of the first connection member and electrically connected to the corresponding wire of at least one first wiring layer; and a second connection member including at least one second wiring layer electrically connected to the IC and at least one second insulating layer, and disposed between the first connection member and the IC, wherein the second connection member has a third surface facing the first connection member and having an area smaller than that of the second surface, and a fourth surface facing the IC.

Abstract: An apparatus includes a modified image generator generating modified images by modifying each unlabeled image, a pre-trainer to generate a feature vector for each modified image by using an artificial neural network-based encoder and train the encoder based on the feature vector for each modified image, a pseudo-label generator to generate a feature vector for each unlabeled training image, cluster the training images based on the feature vector for each training image, and generate a pseudo-label for at least one training image among the training images based on the clustering result, and a further trainer to generate a predicted label by using the trained encoder and a classification model including a classifier to generate a predicted label for an image input to the trained encoder based on a feature vector, and train the classification model based on the pseudo-label and predicted label for the at least one training image.

Abstract: A synthetic data generation apparatus according to an embodiment includes a generator for generating synthetic data from an input value, a first discriminator learned to distinguish between actual data and the synthetic data, a second discriminator learned to distinguish between the actual data and the synthetic data while satisfying differential privacy, and a third discriminator learned to distinguish between first synthetic data which is output from the generator learned by the first discriminator and second synthetic data which is output from the generator learned by the second discriminator.

Abstract: Disclosed is an iontophoresis-based patch type medicine absorption device for allowing a medicine for medical treatment or a functional substance for skin care to be effectively absorbed into a user's skin by causing iontophoresis on the user's skin through a conductive patch. The iontophoresis-based patch type medicine absorption device for allowing the medicine for medical treatment or the functional substance for the skin care to be absorbed into the user's skin by the iontophoresis includes a medicine absorption device body that generates power to cause the iontophoresis. The medicine absorption device body includes a power circuit that is provided in an interior space of a body and that includes a power unit that generates the power for the iontophoresis and one or more electrodes to which the power is applied, and a bridge that is provided so as to be combinable with the body and that receives the power through the one or more electrodes.

Abstract: Disclosed is an iontophoresis-based patch type skin care device for allowing a functional substance for skin care to be effectively absorbed into a user's skin by causing iontophoresis on the user's skin through a conductive patch. The iontophoresis-based patch type skin care device for allowing the functional substance for the skin care to be absorbed into the user's skin by the iontophoresis includes a skin care device body that generates power to cause the iontophoresis. The skin care device body includes a power circuit that is provided in an interior space of a body and that includes a power unit that generates the power for the iontophoresis and one or more electrodes to which the power is applied, and a bridge that is provided so as to be combinable with the body and that receives the power through the one or more electrodes.

Abstract: An apparatus for encoding matrix data according to an embodiment includes an initial encoding layer that outputs a plurality of encoded row vectors and a plurality of encoded column vectors for one or more pieces of matrix data representing information on a relationship between items having a plurality of characteristics based on the matrix data, a plurality of initial row vectors corresponding to the number of rows of the matrix data, and a plurality of initial column vectors corresponding to the number of columns of the matrix data, and one or more encoding layers that are disposed after the initial encoding layer and perform additional encoding on the plurality of encoded row vectors and the plurality of encoded column vectors.

Abstract: An antenna module includes a connection member including at least one wiring layer and at least one insulating layer, an antenna package including a plurality of antenna members transmitting or receiving a radio frequency (RF) signal and a plurality of feed vias respectively electrically connected to the plurality of antenna members at one end and respectively electrically connected to a wiring corresponding to the at least one wiring layer at the other end, and positioned on a first surface of the connection member, an integrated circuit (IC) disposed on a second surface of the connection member and electrically connected to the wiring corresponding to the at least one wiring layer to receive an intermediate frequency (IF) signal or baseband signal and transfer an RF signal or receive an RF signal and transfer an IF signal or baseband signal, and a filter filtering an IF signal or a baseband signal.

Abstract: The present invention relates to a pharmaceutical composition for preventing and/or treating inflammatory disease, the composition comprising a pyrrolopyridine-derivative compound as an active ingredient; the compound represented by Chemical Formula 1 according to the present invention, enantiomers thereof or pharmaceutically acceptable salts thereof, which have excellent inhibitory activity against not only protein kinases but also inflammatory factors and inflammatory cytokines; therefore a pharmaceutical composition comprising the same as an active ingredient may be useful in prevention, treatment and/or improvement of inflammatory disease, in particular but not limited to inflammatory bowel disease, rheumatoid arthritis, or lupus.

Abstract: The present invention relates to a pharmaceutical composition for the prevention or treatment of cancer, comprising an anticancer drug and a pyrrolo-pyridine derivative as an active ingredient. A compound represented by Chemical Formula I according to the present invention, an isomer thereof, or a pharmaceutically acceptable salt thereof has excellent inhibitory activity against protein kinases, and thus, when used in combination with other anticancer drugs, can be effectively used in the prevention, treatment or amelioration of cancer.

Abstract: A method of embedding a vector representing an arrangement state of objects in a 3D space according to an embodiment includes dividing a target space into M×N subspaces extending from a first surface among planes forming the target space having a cuboid shape, calculating, for each of the subspaces, a feature representing an object arrangement state in the subspace, inputting data representing the feature of each of the subspaces into an artificial neural network and obtaining, from the artificial neural network, an embedding vector representing an arrangement state of an object in the target space.

Abstract: An apparatus includes a modified image generator generating modified images by modifying each unlabeled image, a pre-trainer to generate a feature vector for each modified image by using an artificial neural network-based encoder and train the encoder based on the feature vector for each modified image, a pseudo-label generator to generate a feature vector for each unlabeled training image, cluster the training images based on the feature vector for each training image, and generate a pseudo-label for at least one training image among the training images based on the clustering result, and a further trainer to generate a predicted label by using the trained encoder and a classification model including a classifier to generate a predicted label for an image input to the trained encoder based on a feature vector, and train the classification model based on the pseudo-label and predicted label for the at least one training image.