Abstract: A method of processing an image based on super-resolution includes: sequentially performing a plurality of computing operations on a low-resolution input image using a super-resolution convolutional neural network (SRCNN) to generate a residual image, performing an interpolation operation on the low-resolution input image to generate an interpolation image and adding the residual image to the interpolation image to generate a high-resolution image. The high-resolution output image has a resolution higher than that of the low-resolution input image. The SRCNN includes a plurality of computation layers for performing the plurality of computing operations. The plurality of computation layers include a plurality of convolutional layers, and a deconvolutional layer for post-up-sampling. The deconvolutional layer is a last computation layer among the plurality of computation layers.

Abstract: Provided is a thin film including Mo1-xWxTe2 stacked in a plurality of layers. The thin film has a thickness of about 1 nm to about 100 nm in a stacking direction, has a symmetric lattice structure at a temperature higher than a threshold temperature, and has an asymmetric lattice structure at a temperature equal to or lower than the threshold temperature.

Abstract: A display device includes a display panel including a pixel array including a plurality of pixels and a plurality of sub-pixel circuits, each pixel of the plurality of pixels including a plurality of inorganic light emitting elements and a sub-pixel circuit of the plurality of sub-pixel circuits being provided for an inorganic light emitting element of the plurality of inorganic light emitting elements, a driver configured to set the image data voltage to sub-pixel circuits included in each of the plurality of row lines in an order of the row lines, a sensing unit configured to sense a current flowing in a driving transistor included in the sub-pixel circuit based on a specific voltage applied to the sub-pixel circuit, and output sensing data corresponding to the sensed current, and a correction unit configured to correct the image data voltage applied to the sub-pixel circuit based on the sensing data.

Abstract: Disclosed herein a method of constructing a blood vessel map, the method including: receiving, by a blood vessel map construction apparatus, a TOF image of the object; extracting, by the blood vessel map construction apparatus, a blood vessel stem, a center line of a blood vessel, and features of the center line included in the TOF image, and detecting branch points of the blood vessel based on the extracted blood vessel stem, center line of the blood vessel, and features of the center line; searching, by the blood vessel map construction apparatus, a reference blood vessel image corresponding to the TOF image in consideration of location information or curvature information of the branch points; calculating a similarity between the TOF image and the reference blood vessel image; and registering the TOF image in the blood vessel map based on the similarity.

Abstract: A robot for detecting and saving a life, includes: a body part including a plurality of unit joints; a head part which is provided at the front of the body part in the direction in which the body part moves forward, and which has a gripper capable of picking up an object by a plurality of tongs parts that are folded and unfolded; and an extension part capable of extending forward from the head part so as to enter a small space that is difficult for the body part to enter.

Abstract: A Processing-in-Memory (PIM) computing system and a memory controller provide improved memory traffic efficiency and improved PIM operation efficiency by increasing a burst length of a PIM operation relative to a general memory request. In embodiments, the increased burst length allows the PIM operation to be performed in units of pages, wherein a page is management unit of a memory used in the PIM operation.

Abstract: According to an embodiment of the present invention, a composition for diagnosing or predicting the prognosis of lung cancer is provided, the composition including a primer, probe, or antibody that specifically binds to a GRIP and coiled-coil domain-containing protein (GCC2) gene or protein in an exosome.

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: 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: 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: 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: 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: 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: 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: 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: 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: 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: 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: 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.