Abstract: Provided is a system for distributed processing of data that includes a data storage storing raw data generated in a fabrication process in real time; a database storing information associated with each of the raw data in real time; a master service that monitors the database on the basis of the information, selects processing targets to be processed among the raw data, and stores metadata associated with the processing targets in a queue; and a plurality of pods which make requests for jobs to the master service, receive metadata from the master service, access the raw data stored in the data storage using the received metadata, and perform the jobs on the raw data.

Abstract: A deep learning device and system including the same is provided. The deep learning device comprising processing circuitry configured to determine whether a received image is abnormal using an anomaly detection model; merge at least some vectors extracted from the anomaly detection model; input, to a probability approximation model, principal components generated by a principal component analysis (PCA) to detect whether out of distribution (OOD) occurs in data of the received image; store a result of the determinations; and extract at least some the data in which the OOD occurs, as target labeling, using a target labeling extraction model when a rate of the data in which the OOD occurs is greater than or equal to a threshold value, wherein the anomaly detection model determines whether the received image is abnormal using the target labeling.

Abstract: Disclosed is a vacuum roaster including a chamber, a door cap formed on one side of the chamber so as to be opened or closed, a vacuum cap formed on an opposite side of the chamber, a basket spaced apart from an inner circumferential surface of the chamber, and including a basket door that is opened or closed for introduction and discharge of an object to be processed, a vacuum adjustment device for adjusting a vacuum state inside the chamber, a drive motor connected to the basket via a shaft for rotating the basket, and a heater provided inside the chamber so as to be spaced apart from the basket.

Abstract: Embodiments relate to a waterproof silicone emulsion, a waterproof board exhibiting excellent crack resistance, and a manufacturing method therefor and, more specifically, to a waterproof silicone emulsion including a silicone oil and an emulsifier, a waterproof board including a cured product of an aqueous gypsum slurry, and a manufacturing method therefor. The aqueous gypsum slurry includes calcium sulfate hemihydrate, a silicone oil and a specific catalyst, and exhibits excellent crack resistance and a low total absorptance.

Abstract: Disclosed is a vacuum roaster including a chamber, a door cap formed on one side of the chamber so as to be opened or closed, a vacuum cap formed on an opposite side of the chamber, a basket spaced apart from an inner circumferential surface of the chamber, and including a basket door that is opened or closed for introduction and discharge of an object to be processed, a vacuum adjustment device for adjusting a vacuum state inside the chamber, a drive motor connected to the basket via a shaft for rotating the basket, and a heater provided inside the chamber so as to be spaced apart from the basket.

Abstract: This invention relates to a method of manufacturing silicon nanoparticles, wherein the deterioration of an electrode due to the volume change of silicon can be minimized and electrical contact can be improved, thus ensuring high capacity and cycle characteristics of a battery, and to an anode active material using silicon nanoparticles manufactured thereby. The method of continuously manufacturing silicon nanoparticles includes feeding a silane gas and a carrier gas into a reactor, decomposing the silane gas in the reactor, and recovering the silicon nanoparticles.

Abstract: Provided is a method of purifying monosilane. More particularly, the method includes removing impurities from a crude material containing monosilane and ethylene by fractional distillation (operation 1), and removing ethylene and residual impurities by passing the crude material purified in operation 1 through activated carbon (operation 2). According to the method, high-purity monosilane may be more simply and effectively obtained without additional production of byproducts by selectively adsorbing ethylene, which is difficult to separate by fractional distillation, using an activated carbon.

Abstract: Provided is a method of purifying monosilane. More particularly, the method includes removing impurities from a crude material containing monosilane and ethylene by fractional distillation (operation 1), and removing ethylene and residual impurities by passing the crude material purified in operation 1 through activated carbon (operation 2). According to the method, high-purity monosilane may be more simply and effectively obtained without additional production of byproducts by selectively adsorbing ethylene, which is difficult to separate by fractional distillation, using an activated carbon.