Abstract: A method and device for cell (re)selection in an EFB-based non-terrestrial network includes the steps of: receiving, from a satellite, cell selection configuration information including information about a cell service timer indicating when each of one or more cells can provide a communication service; decreasing the cell service timer of each of the one or more cells; measuring the reception quality of each of the one or more cells; and performing a cell selection procedure on the basis of the cell service timer of each of the one or more cells.

Abstract: A method and a device for timing control in a non-terrestrial network are provided. The method includes: transmitting, to a UE, first system information including a first scheduling offset; determining a first update period of the first scheduling offset; transmitting, to the UE, a first message including information about the first update period; and transmitting, to the UE, a second message including information about a scheduling offset updated according to the first update period.

Abstract: In analog-to-digital conversion, a plurality of stages configured in a sequence to sequentially decide a plurality of bits in successive-approximation, each of the plurality of stages configured to operate in response to a corresponding clock among a plurality of clocks, and decide a corresponding bit among the plurality of bits from a corresponding positive pulse among a plurality of positive pulses and a corresponding negative pulse among a plurality of negative pulses; and a plurality of clock generating circuits respectively corresponding to a plurality of first stages among the plurality of stages, each of the plurality of clock generating circuit configured to generate the corresponding clock of a corresponding stage among the plurality of first stages based on an operation of a previous stage among the plurality of stages, the previous stage being before the corresponding stage in the sequence.

Abstract: Provided is a method for etching an atomic layer. The method for etching the atomic layer includes providing a substrate to a process chamber, wherein the process chamber comprises a first chamber part and a second chamber part, and the substrate is provided in the second chamber part, generating adsorption gas plasma in the first chamber part, adsorbing radicals of the adsorption gas plasma to the substrate so as to form a treatment layer, generating etching gas plasma in the first chamber part, and allowing electrons and ions of the etching gas plasma to be alternately incident into the treatment layer so as to perform desorption of the treatment layer.

Abstract: Disclosed herein are an infectious clone capable of inoculating Nanovirus DNA-C, DNA-M, DNA-N, and DNA-U1, and uses thereof. A recombinant vector comprising the nucleotide sequences of Nanovirus DNA-C, DNA-M, DNA-N, and DNA-U1 represented by SEQ ID NOS: 1 to 8, and E. coli and Agrobacterium tumefaciens, each transformed therewith, can effectively induce the infection of Nanovirus into crops even without any insect vectors. Therefore, the disclosure can be applied to various studies, such as investigating the host range and the correlation with hosts of Nanovirus DNA-C, DNA-M, DNA-N, and DNA-U1. This can help in preemptively preventing economic losses due to virus infections, making it beneficially applicable in the related fields.

Abstract: The present invention relates to a quantum federated learning system that performs federated learning on the basis of at least one observation value input from a single-hop offloading environment, and the system includes: a global server for initializing parameters of a quantum slimmable neural network (QSNN) model and transmitting the initialized quantum slimmable neural network model to at least one local device; and the at least one local device for inputting the at least one observation value into the initialized quantum slimmable neural network model to train the quantum slimmable neural network model, and transmitting the parameters of the trained quantum slimmable neural network model to the global server side. Through the system, the environmental epidemiology problems of the federated learning performed in conventional computing, such as communication channel conditions and energy limitations over time can be solved.

Abstract: Disclosed is a method for repairing a null pointer exception performed by a computing device including a processor, which includes: obtaining an original program; and obtaining, by using a classification model, a patch program from the original program by repairing an error of the original program; and, in which the classification model may be trained in advance by using a null processing pattern dataset obtained from at least one program.

Abstract: The present invention relates to a fiber-nanowire composite-based sheet having super-amphiphilic characteristics. In the present invention, fibers including metal nanoparticles or metal oxide nanoparticles embedded in the fibers or located on the surface of the fibers are synthesized, and a sheet based on a composite in which metal nanowires or metal oxide nanowires have been grown from the above fibers is provided. A sheet of the present invention has super-amphiphilic characteristics and can be used in various fields such as the antibacterial filter field, the antibacterial film field, the antiviral filter field, the antiviral film field, the antifouling coating field, the drug delivery vehicle field, or the water treatment filter field.

Abstract: An Out-Of-Distribution (OOD) detection method performed by an OOD detection device is provided. The OOD detection method includes generating a noise filter using training data based on a target distribution and using a classification model pre-trained according to the target distribution, training the generated noise filter to reduce a loss function for a first output value obtained by applying the training data passed through the generated noise filter to the pre-trained classification model, and detecting Out-Of-Distribution (OOD) for new data using a second output value obtained by applying the new data passed through the trained noise filter to the pre-trained classification model.

Abstract: One embodiment of the present invention provides a shape-deformable and elastic bioadhesive electronic device comprising a self-healing elastomeric polymer substrate, a stretchable thin-film electrode device, and a bioadhesive hydrogel layer. Another embodiment of the present invention provides a method for manufacturing a shape-deformable and elastic bioadhesive electronic device, comprising a transfer printing step of a thin-film electrode device onto a self-healing elastomeric polymer substrate; a substrate separation step of attaching an adhesive tape transferring the thin-film electrode device; an adhesive tape separation step of separating the adhesive tape from the self-healing elastomeric polymer; a pressurization and heat treatment step including heating the separated self-healing elastomeric polymer; and a bioadhesive hydrogel layer forming step of forming a bioadhesive hydrogel layer on a surface of the self-healing elastomeric polymer.

Abstract: The method for solving an N-queen problem includes: an initialization step of generating a quantum substitution matrix state which is a superposition of qubit states satisfying a row condition and a column condition of the N-queen problem; an Oracle step of performing an operation of inverting a phase of at least one entire correct answer state that satisfies a diagonal condition of the N-queen problem in the quantum substitution matrix state; an amplification step of amplifying an amplitude of at least one entire correct answer state of which the phase is inverted; amplifying the amplitude of at least one entire correct answer state to correspond to a predetermined value by performing the Oracle step and the amplification step repeatedly at a predetermined number of times; and acquiring one first correct answer state among at least one entire correct answer state based on observation of a qubit state.

Abstract: A photobioreactor fabrication system is disclosed. According to a first embodiment, the photobioreactor fabrication system includes a first unwinder 10 continuously unwinding a first transparent film 1, a second unwinder 20 arranged parallel to the first unwinder 10 and continuously unwinding a second transparent film 2 such that the second film 2 faces the first film 1, a heat sealer 30 pressurizing and heat sealing the first 1 and second films 2 to a baffle 3 arranged between the first 1 and second films 2 facing each other, and a rewinder 40 simultaneously and continuously winding the first 1 and second films 2 having passed through the heat sealer 30.

Abstract: The present invention relates to an organic light emitting diode and an organic light emitting device including the organic light emitting diode. The organic light emitting diode includes a first electrode; a second electrode facing the first electrode; and a first blue emitting material layer including a first compound, a second compound and a third compound and positioned between the first and second electrodes, wherein the first compound is represented by Formula 1, the second compound is represented by Formula 3, and the third compound is represented by Formula 5, and wherein in the first blue emitting material layer, a summation of a weight % of the first compound, a weight % of the second compound and a weight % of the third compound is 100%, and the weight % of each of the first and second compounds is greater than the weight % of the third compound.

Abstract: Disclosed is a network hypervisor apparatus for providing a software defined networking (SDN)-based virtual network, the network hypervisor apparatus including a data collector configured to collect control traffic data and network topology information for each virtual switch; a control traffic predictor configured to predict future control traffic based on the control traffic data and the network topology information; and a translator configured to translate a control message corresponding to a virtual switch based on a prediction result.

Abstract: Disclosed is a profiling-based distributed deep learning job ordering method and apparatus. The ordering method refers to a distributed deep learning job ordering method performed by a computing device including at least a processor and includes profiling each of a plurality of distributed deep learning jobs; and selecting distributed deep learning jobs to concurrently run based on profiling results.

Abstract: An extrinsic calibration method of multiple 3D LiDAR sensors for an autonomous navigation system is proposed, the method including collecting point clouds by each of the multiple 3D LiDAR sensors; extracting multiple target planes corresponding to a plane from the point clouds of each of the 3D LiDAR sensors; by using the target plane of any one of the multiple 3D LiDAR sensors as a reference plane, detecting a corresponding plane from the target planes of each of the remaining of the 3D LiDAR sensors on the basis of a similarity with the reference plane; calculating initial extrinsic parameters for matching between the reference plane and the corresponding plane based on plane parameters of the reference plane and corresponding plane corresponding to each other; and calculating final extrinsic parameters that minimize variance of measurement points for the reference plane and corresponding plane, on the basis of the initial extrinsic parameters.

Abstract: An electronic device is disclosed. The electronic device includes: a first electrode disposed on a substrate and extending in a first direction; a second electrode disposed above the first electrode and extending in a second direction intersecting the first direction; and at least one switching particle disposed between the first electrode and the second electrode and bonded to the first electrode and the second electrode via van der Waals bond, wherein the switching particle controls flow of current between the first electrode and the second electrode, based on a difference of voltages of the first electrode and the second electrode applied thereto.

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: The present invention relates to a composition for inducing dedifferentiation form somatic cells to induced pluripotent stem cells (iPSs) and method of inducing dedifferentiation using same, wherein the composition for inducing dedifferentiation and the method of inducing dedifferentiation increases the efficiency of dedifferentiation from somatic cells to iPSs by stimulating CXC chemokine receptor 2 (CXCR2), which is a receptor on human somatic cells, and thus may be effectively used for inducing the dedifferentiation to iPSs.

Abstract: An apparatus for controlling object tracking and a method therefor are provided. The apparatus includes an object detector configured to detect an object in an image, an object tracker configured to track the object, a learning device configured to learn whether to enable the object detector based on features of the object and tracking results of the object tracker, and a controller configured to determine whether to enable the object detector by interworking with the learning device.