Abstract: The present invention relates to a series arc-fault detection apparatus and method, and the series arc-fault detection apparatus according to some embodiments of the present invention includes a signal processing unit configured to generate signal data for estimation by a deep learning inference model by signal-processing a current signal detected by a current transformer and an inference unit configured to estimate whether an arc-fault occurs based on the deep learning inference model through the signal data generated by the signal processing unit.

Abstract: A memory device comprising: a memory cell array comprising multiple memory cells, and a controller configured to repeatedly perform a program loop comprising a voltage application interval and a verification interval until a program operation for cells that have been connected to a word line that have been selected as a program target reach a threshold voltage level and configured to adjust an increase in a level of a program voltage that is applied to the selected word line in the voltage application interval of a second program loop following a first program loop, based on a result of a comparison between a threshold voltage level of each of cells that have been selected as a verification target, among the cells that have been connected to the selected word line, and a pre-target level in the verification interval of the first program loop, among the program loops that are repeated.

Abstract: A memory device includes: a plurality of memory cells; a peripheral circuit configured to perform a plurality of program loops each including a program voltage apply operation of applying a program voltage to selected memory cells, and a verify operation of verifying a program state of the selected memory cells; and a control logic configured to control the peripheral circuit to apply program voltages increasing in a step-wise manner by a first step voltage in program loops in a first state, and increasing by a second step voltage that is lower than the first step voltage in program loops in a second state that occur after the program loops in the first state. The first state and the second state of the program loops are determined based on when a verify operation on a program state having a highest threshold voltage is performed.

Abstract: Disclosed are a method and a device for sidelink groupcast communication. A method for operating a transmitting terminal comprises the steps of: transmitting an SS/PBCH block for sidelink communication in all directions by using a beam sweeping method; receiving, from a plurality of receiving terminals, first feedback information about the SS/PBCH block; and transmitting a sidelink channel in a specific direction by using beams of the transmitting terminal that are determined on the basis of the first feedback information. Therefore, communication system performance can be improved.

Abstract: Provided is an apparatus and method for predicting the remaining lifetime of an environment data collection sensor in a livestock house. The method for predicting the remaining lifetime of an environment data collection sensor in a livestock house includes (a) collecting livestock house environment information, (b) detecting an error of a sensor from the collected livestock house environment information, (c) generating a dataset for learning, (d) generating a sensor lifetime prediction model to performing learning, and (e) predicting a lifetime of the sensor using a result of the learning.

Abstract: A lithium complex oxide includes a mixture of first particles of n1 (n1>40) aggregated primary particles and second particles of n2 (n2?20) aggregated primary particles, the lithium complex oxide represented by Chemical Formula 1 and having FWHM (deg., 2?) of 104 peak in XRD, defined by a hexagonal lattice having R-3m space group, in a range of Formula 1: LiaNixCoyMnzM1-x-y-zO2,??[Chemical Formula 1] where M is selected from: B, Ba, Ce, Cr, F, Mg, Al, Cr, V, Ti, Fe, Zr, Zn, Si, Y, Nb, Ga, Sn, Mo, W, P, Sr, and any combination thereof, 0.9?a?1.3, 0.6?x?1.0, 0.0?y?=0.4, 0.0?z?0.4, and 0.0?1-x-y-z?0.4, ?0.025?FWHM(104)?{0.04+(xfirst particle?0.6)×0.25}?0.025,??[Formula 1] where FWHM(104) is represented by Formula 2, FWHM(104)={(FWHMChemical Formula 1 powder(104)?0.1×mass ratio of second particles)/mass ratio of first particles}?FWHMSi powder (220).

Abstract: A memory device, and a method of operating the same, includes a plurality of memory cells configured to be programmed to any one of a plurality of program states, a peripheral circuit configured to perform a plurality of program loops on the plurality of memory cells, and a program operation controller. The program operation controller is configured to control the peripheral circuit such that a verify operation for a second program state is performed from a second program loop after a verify operation for a first program state performed from a first program loop passes, wherein the first program loop is performed before the second program loop.

Abstract: A fuel pump module for a vehicle includes: a pump positioned in a reservoir cup in a tank and configured to suction and discharge fuel from the reservoir cup; a mount plate mounted in an opening of the tank; a return valve on the mount plate and configured to pass return fuel, which is returned from an engine, into the tank; a shaft bracket connecting the mount plate and the pump in the tank and configured to fix the pump to the mount plate; a guide wall disposed on the shaft bracket to guide return fuel flowing in the tank through the return valve; and a channel disposed at the shaft bracket so that return fuel flows down and configured to discharge the return fuel into the reservoir cup.

Abstract: Provided herein is a memory device for performing a program operation, a method of operating the memory device, and a storage device having the memory device. The method of operating a memory device includes receiving a first data bit among a plurality of data bits to be stored in each of a plurality of memory cells from a memory controller, performing a program voltage apply operation on the plurality of memory cells based on the first data bit, and receiving a second data bit among the plurality of data bits from the memory controller while performing the program voltage apply operation.

Abstract: The present specification relates to an apparatus and method for performing random access. This specification discloses a method for performing random access by a terminal in a non-terrestrial network system, the method comprising the steps of: performing a search for a cell of a non-terrestrial network on the basis of a synchronization signal block transmitted from a non-terrestrial network node; after the search for the cell is completed, receiving, from the non-terrestrial network node, random access-related information about the cell of the non-terrestrial network; generating a random access preamble on the basis of a frequency resource area of a random access channel related to the cell of the non-terrestrial network; and transmitting the generated random access preamble to the non-terrestrial network node. Performance degradation can be reduced when random access is performed in a non-terrestrial network system.

Abstract: Provided is a liquid chemical supply module and a substrate processing apparatus including the same, the liquid chemical supply module including a main supplier for supplying a liquid chemical from a liquid chemical tank to at least one substrate processing apparatus, and at least one distribution supplier for connecting between the main supplier and any one substrate processing apparatus to distribute the liquid chemical supplied through the main supplier to the any one substrate processing apparatus, wherein the distribution supplier includes a distribution line branched from a main line of the main supplier, a first circulation line branched from the distribution line and connecting between the distribution line and the main line, and a second circulation line branched from the distribution line connecting between the distribution line and the main line.

Abstract: The present disclosure relates to an interior material for a vehicle and a method for molding the interior material for the vehicle, and more specifically the method for molding an interior material for a vehicle according to the present disclosure includes heating a skin inserted into an upper end heater and a lower end heater spaced apart from each other; preforming the heated skin using an upper mold having a mold temperature set to have a set shape and a lower mold having a second mold temperature; and pressing the preformed skin and a core using a 1-1 mold and a 1-2 mold having set mold temperatures.

Abstract: A convolutional neural network (CNN) processing method includes selecting a survival network in a precision convolutional network based on a result of performing a high speed convolution operation between an input and a kernel using a high speed convolutional network, and performing a precision convolution operation between the input and the kernel using the survival network.

Abstract: Embodiments provide an emissive display device including a light emitting diode that includes a first circuit part disposed in a display area and a cathode electrically connected to the first circuit part; and a non-emissive element that includes a second circuit part disposed in the display area and a cathode electrically connected to the second circuit part, and the cathode of the non-emissive element is separated from the cathode of the light emitting diode by a separator.

Abstract: A shoe management apparatus including a cabinet including an inner space for storing shoes, an exhaust port disposed at a rear surface of the inner space and discharging air into the inner space, and a front discharge port disposed at an upper surface of the cabinet and discharging air from the inner space to outside of the shoe management apparatus.

Abstract: A processor-implemented liveness test method includes detecting a face region in a query image, the query image including a test object for a liveness test, determining a liveness test condition to be applied to the test object among at least one liveness test condition for at least one registered user registered in a registration database, determining at least one test region in the query image based on the detected face region and the determined liveness test condition, obtaining feature data of the test object from image data of the determined at least one test region using a neural network-based feature extractor, and determining a result of the liveness test based on the obtained feature data and registered feature data registered in the registration database and corresponding to the determined liveness test condition.

Abstract: A method of pruning nets in a circuit design includes, in part, receiving data representative of net layers associated with the circuit design, and accessing a connect database associated with the circuit design. The connect database includes data representative of electrical connections associated with the circuit design. The method further includes, in part, determining whether a marker layer exists in the net layers, and pruning nets that are not connected to the marker layer if the marker layer is determined to exist. The marker layer, which is not stored in the connect database, designates a connection between at least a pair of nets in the circuit design.

Abstract: A vehicle control apparatus includes a sensor provided in each of vehicle seats and outputting a fastening signal when a seat belt is fastened, and outputting a non-fastening signal when the seat belt is not fastened, and a controller that stores an available seat count based on the non-fastening signal and to update the available seat count when a seat belt signal is changed and output to the non-fastening signal from a vehicle seat where the fastening signal is output.

Abstract: Disclosed are a system and method for automatically evaluating an essay. The system includes a structure analysis module configured to divide learning data and learner essay text in a predetermined structure analysis unit, generate structure tagging information for each structure analysis unit, and structure the learning data and the learner essay text by attaching the structure tagging information to the learning data and the learner essay text, a learning module configured to generate an essay evaluation model through learning by using essay text that is included in the structured learning data and the structure tagging information as an input value and using an evaluation score that is included in the structured learning data as a label, and an evaluation module configured to generate essay evaluation results using the essay evaluation model.

Abstract: A display device includes a sensor having a detection electrode. An optical pattern layer is disposed directly on the sensor and includes a plurality of transmission portions and a light blocking portion. A display panel is disposed on the optical pattern layer. A minimum distance between the detection electrode and the light blocking portion is in a range of 1 micrometer-5 micrometers.