Abstract: A multiple sensor-based abnormal condition monitoring method includes determining an operation mode based on condition information in a target area in which an abnormal condition is monitored, receiving sensing signals from a plurality of sensors installed in the target area in response to a first mode in which different objects are simultaneously detected being determined as the operation mode, processing the sensing signals and outputting first sensing data obtained by converting the sensing signals into digital signals, generating first input data to be input to a first neural network model by variably adjusting a size of the first sensing data, performing an operation in an analog domain on the first input data using the first neural network mode and outputting first operation data obtained by converting an operation result into digital data, and outputting a first monitoring result obtained by classifying an abnormal condition based on the first operation data.

Abstract: A method of monitoring an abnormal condition based on multiple sensors includes processing sensing signals received from a plurality of sensors configured to detect different objects and outputting sensing data obtained by converting the sensing signals into digital signals, generating input data to be input to a neural network model by variably adjusting a size of the sensing data, performing an operation in an analog domain on the input data using the neural network mode and outputting operation data obtained by converting an operation result into digital data, and outputting a monitoring result obtained by classifying an abnormal condition based on the operation data.

Abstract: Provided is a power management device including a first power domain operating in a sleep mode consuming minimal power, and a second power domain turned on exclusively when a wake signal is received from an external device within a communication range of the first power domain, wherein the first power domain includes an always-on Digital Low-DropOut (DLDO), and the second power domain includes a main Low-DropOut (LDO), and split sequence control is performed on power management in the first power domain and the second power domain.

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: Provided are a scalable analog passive intermodulation (PIM) module, a method of controlling analog PIM, a signal processing circuit, and a sensor device. The scalable analog PIM module includes a first plural number of digital-to-analog converters (DACs), a first plural number of static random access memory (SRAM) calculators connected to the first plural number of DACs, at least one analog-to-digital converter (ADC) connected to the first plural number of SRAM calculators and configured to convert an analog convolution result signal into digital convolution data, and an analog PIM controller configured to output an enable control signal for enabling a second number, which is equal to or less than first plural number, of SRAM calculators among the first plural number of SRAM calculators to the first plural number of SRAM calculators on the basis of the convolution data output from the ADC.

Abstract: Disclosed is a method of diagnosing a vehicle including an electric motor performed in the vehicle. The method includes acquiring first to third measurement values for a temperature, a voltage, and a current associated with the electric motor from one or more sensors installed for the electric motor, calculating first to third scores for a predetermined diagnostic factor based on each of the first to third measurement values, reading a weight for each of the temperature, the voltage, and the current with regard to the predetermined diagnostic factor from a database installed in the vehicle, and calculating a comprehensive diagnostic score for the predetermined diagnostic factor based on the weight for each of the first to third scores and the predetermined diagnostic factor.

Abstract: Disclosed are an artificial intelligence algorithm-based wireless power transmitter, wireless power receiver, and wireless power charging system that are capable of high-speed response to environmental changes and that can optimize the power efficiency of a wireless power receiver, estimate a dynamic location from a signal received from the wireless power receiver using artificial intelligence technology, and dynamically transmit wireless power to a prioritized wireless power receiver according to a power state.

Abstract: Provided are a scalable analog passive intermodulation (PIM) module, a method of controlling analog PIM, a signal processing circuit, and a sensor device. The scalable analog PIM module includes a first plural number of digital-to-analog converters (DACs), a first plural number of static random access memory (SRAM) calculators connected to the first plural number of DACs, at least one analog-to-digital converter (ADC) connected to the first plural number of SRAM calculators and configured to convert an analog convolution result signal into digital convolution data, and an analog PIM controller configured to output an enable control signal for enabling a second number, which is equal to or less than first plural number, of SRAM calculators among the first plural number of SRAM calculators to the first plural number of SRAM calculators on the basis of the convolution data output from the ADC.

Abstract: Disclosed are an artificial intelligence algorithm-based wireless power transmitter, wireless power receiver, and wireless power charging system that are capable of high-speed response to environmental changes and that can optimize the power efficiency of a wireless power receiver, estimate a dynamic location from a signal received from the wireless power receiver using artificial intelligence technology, and dynamically transmit wireless power to a prioritized wireless power receiver according to a power state.

Abstract: An internal short circuit induction apparatus for a battery. The internal short circuit induction apparatus includes an electrode assembly including a positive electrode, a negative electrode, and a separator between the positive electrode and the negative electrode. The apparatus further includes a pressing unit movably located above the electrode assembly, a support unit located under the electrode assembly, the support unit being fixed at a position and configured to support the electrode assembly, and a pulling unit configured to pull a separator cover to remove the separator cover from the electrode assembly. The separator includes an opening.

Abstract: The present invention relates to an integrated circuit for processing biosignals, a biosignal processing apparatus, and a biosignal processing system, and the integrated circuit includes: a digital conversion unit for converting an analog biosignal input through a biosignal input terminal into digital biodata; and an AI block for processing a plurality of biodatas converted through the digital conversion unit according to an artificial intelligence processing flow, and outputting a result data according to processing of the plurality of biodatas.

Abstract: A cover glass printing pad, a method of manufacturing the cover glass and the cover glass are provided. The cover glass printing pad includes a jig portion, a body portion in which a first surface contacts the jig portion and at least a part of a second surface is parallel to the first surface and a pad portion including an outer frame portion disposed on at least one side of the body portion and protruding in a first direction perpendicular to the second surface.

Abstract: Disclosed is a battery module with improved safety from fire or explosion. To achieve the object, the battery module according to the present disclosure includes a cell assembly including a plurality of battery cells; a lower case having an open top and an accommodation space in which the cell assembly is received; an upper case which is coupled to the lower case to cover the open top of the lower case, the upper case having a connection hole in communication with the accommodation space; an upper cover which is coupled to the upper case to cover the top of the upper case, wherein part of the upper cover is spaced apart from the upper case to form a buffer space, and the upper cover has an outlet in communication with the buffer space; and a partition which is provided in the buffer space, the partition having at least part extended to form a movement passage which extends from the connection hole to the outlet, and configured to adjust an extension direction of the part.

Abstract: Provided are a method and energy harvesting system for extracting maximum power from an input source. When the energy harvesting system includes a converter, a sensing part, an artificial intelligence (AI) calculator, and a resistor part, the method includes: sensing an input voltage and an input current from the input source using the sensing part, converting the input voltage and the input current corresponding to analog values into digital values through an analog-to-digital converter (ADC) block, and transmitting the digital values to the AI calculator; calculating input power on the basis of the digital values using the AI calculator and acquiring an optimal sampling ratio for extracting maximum power on the basis of the input power; controlling a resistor divider ratio on the basis of the optimal sampling ratio to equalize a sampling ratio to the optimal sampling ratio; and performing a regulation operation through the converter.

Abstract: A power management apparatus, includes an artificial intelligence (AI) controller configured to monitor a user pattern, based on frequency band selection information of all users using a base station, to predict the user pattern, and a DC-DC converter configured to output a supply voltage based on the predicted user pattern.

Abstract: A cover glass printing pad, a method of manufacturing the cover glass and the cover glass are provided. The cover glass printing pad includes a jig portion, a body portion in which a first surface contacts the jig portion and at least a part of a second surface is parallel to the first surface and a pad portion including an outer frame portion disposed on at least one side of the body portion and protruding in a first direction perpendicular to the second surface.

Abstract: An indoor wireless positioning method according to one embodiment of the present invention includes receiving initial received signal strength indicator (RSSI) information from a reception unit; searching for a fingerprint matching measured initial RSSI information in a fingerprint database; determining a first location corresponding to the retrieved fingerprint to be an initial location of the reception unit; receiving additional RSSI information from the reception unit; extracting features of variability between the additional RSSI information and the initial RSSI information; searching for variability fingerprints matching the initial location and extracted RSSI variability features in a variability fingerprint database; and updating a second location to a current location of the reception unit when the second location corresponding to the retrieved variability fingerprint is different from the initial location, wherein the second location is a location in a candidate area within a preset distance range ce

Abstract: As inputs of a controller of a direct current (DC)-DC converter are sampled for a predetermined time and thus two-dimensional state information in which one axis is an input physical quantity and the other axis is a time is generated, the two-dimensional state information is processed by a convolutional neural network to determine and output one of a plurality of control signals. An artificial intelligence control part may operate in accordance with a plurality of operation conditions or dynamically determined operation conditions by applying different artificial intelligence engines according to operation modes.