Abstract: Disclosed are methods and apparatuses for image data encoding/decoding. A method of decoding an image includes receiving a bitstream in which the image is encoded; obtaining index information for specifying a block division type of a current block in the image; and determining the block division type of the current block from a candidate group pre-defined in the decoding apparatus. The candidate group includes a plurality of candidate division types, including at least one of a non-division, a first quad-division, a second quad-division, a binary-division or a triple-division. The method also includes dividing the current block into a plurality of sub-blocks; and decoding each of the sub-blocks with reference to syntax information obtained from the bitstream.

Abstract: Provided is a method for preparing single-walled carbon nanotubes (SWCNTs), including the steps of: (a) depositing a metal catalyst in the form of single atom or atomic cluster on a catalyst support to prepare a single-atom catalyst or an atomic cluster catalyst; and (b) growing carbon nanotubes on the single-atom catalyst or the atomic cluster catalyst to prepare single-walled carbon nanotubes (SWCNTs). According to the method, it is possible to uniformly mass-produce single-walled carbon nanotubes (SWCNTs) having excellent heat conductivity, electroconductivity, mechanical strength, dispersibility, or the like.

Abstract: A wireless charging system for attenuating electromagnetic waves is provided. The wireless charging system includes a transmitter including a clock generator configured to generate clock signals having reverse phases from each other, inverters configured to output inverter voltage/current signals having a same magnitude and reverse phases from each other using the clock signals generated by the clock generator, matching portions respectively connected to the inverters and configured to output transmission coil voltage/current signals having a same magnitude and reverse phases from each other using the inverter voltage/current signals, and transmission coils respectively connected to the matching portions and configured to generate magnetic fields towards a reception coil using the transmission coil voltage/current signals.

Abstract: This application relates to a method for executing a quantum program and a method for compiling a quantum program performed by a computer device. The executing method includes: using an initial quantum circuit in a physical quantum circuit contained in a target quantum program as a current quantum circuit; executing the current quantum circuit to obtain a quantum measurement result; identifying a target quantum circuit matching the quantum measurement result from candidate quantum circuits having a connection relationship with the current quantum circuit; and using the target quantum circuit as the current quantum circuit by executing a mapping transformation circuit between the current quantum circuit and the target quantum circuit, and returning to the step of executing the current quantum circuit to obtain a quantum measurement result to continue executing till a program executing result is obtained in response to meeting an executing termination condition.

Abstract: A gripper for gripping a target has a first support section, a second support section spaced apart from the first support section in a direction of a rotation center axis, and a plurality of elastic wires supported across the first support section and the second support section. A first grip area surrounded by the plurality of elastic wires is formed between the first support section and the second support section upon a relative rotation of the first support section and the second support section around the rotation center axis, and the first grip area becomes narrower until all the plurality of elastic wires come into contact with the target by the relative rotation of the first support section and the second support section, and the plurality of elastic wires is tightened to grip the target entering the first grip area.

Abstract: A method for fusing neural radiance fields (NeRFs) is described. The method includes re-rendering a first NeRF and a second NeRF at different viewpoints to form synthesized images from the first NeRF and the second NeRF. The method also includes inferring a transformation between a re-rendered first NeRF and a re-rendered second NeRF based on the synthesized images from the first NeRF and the second NeRF. The method further includes blending the re-rendered first NeRF and the re-rendered second NeRF based on the inferred transformation to fuse the first NeRF and the second NeRF.

Abstract: An operation method of a source terminal for sidelink communication comprises transmitting at least two transport blocks (TBs) or code block groups (CBGs) to a destination terminal, and receiving hybrid automatic repeat request-acknowledgement/negative acknowledgement (HARQ-ACK/NACK) bits for the at least two TBs or CBGs from the destination terminal. The operation method further comprises generating an HARQ codebook based on the HARQ-ACK/NACK bits, and reporting the generated HARQ codebook to a serving base station.

Abstract: A method of a terminal may comprise: acquiring, from a non-terrestrial network (NTN) base station, system information (SI) including information indicating either a (quasi-) Earth-fixed cell or an Earth-moving cell (EMC); in response to the SI indicating an EMC, calculating a first distance between a location of the terminal and a reference location; and determining whether to perform measurement for cell reselection based on a comparison result between the first distance and a threshold distance included in the SI and ephemeris information of a satellite included in the SI.

Abstract: A data acquisition unit acquires input data. An estimation unit estimates information relating to an estimation object by inputting the input data into a trained model. An image display unit displays the estimation information and the reason for estimation. The trained model includes a plurality of modularized networks constructed such that each of the modularized networks are trained in advance by different characteristics of the estimation object in image data for first training and estimation, and a fusion network for estimating information relating to the estimation object in input images constructed such that a plurality of output signals obtained by inputting image data for the second training and estimation into the plural modularized networks are inputted.

Abstract: Provided is an X-ray tube including a cathode structure, an anode spaced apart from the cathode structure, a spacer structure disposed between the cathode structure and the anode, and an external power supply connected to each of the cathode structure, the anode, and the spacer structure. Here, the spacer structure includes a first spacer disposed adjacent to the cathode structure and a second spacer disposed on the first spacer and disposed adjacent to the anode. The first spacer includes a first portion adjacent to the cathode structure and a second portion adjacent to a contact point of the first spacer and the second spacer. The second spacer includes a third portion adjacent to the contact point and a fourth portion adjacent to the anode. Each of the first portion and the third portion has a volume resistivity less than that of the second portion.

Abstract: A femtosecond laser source according to an embodiment of the present invention includes: a pulse generator that converts a continuous wave laser into an optical pulse train; a burst generator that separates the optical pulse train into a plurality of burst pulses; a pulse amplification and spectral broadening unit that expands the spectrum by amplifying a plurality of burst pulses; and a pulse compressor that compresses a plurality of amplified burst pulses to generate a femtosecond laser with a pulse width of 1 picosecond (10?12 s) or less.

Abstract: A single crystal particle powder having a crystal structure of TbCu7-type of the present invention is represented by the general formula: [Chemical Formula 1] (R1-zMz)Tx??(1) or the general formula: [Chemical Formula 2] (R1-zMz)TxNy??(2) and has a crystal structure of TbCu7-type, wherein R is at least one element selected from the group consisting of Sm and Nd, T is at least one element selected from the group consisting of Fe and Co, x is 7.0?x?10.0, y is 1.0?y?2.0, and z is 0.0?z?0.3.

Abstract: A method for decoding a 360-degree image includes: receiving a bitstream obtained by encoding a 360-degree image; generating a prediction image by making reference to syntax information obtained from the received bitstream; combining the generated prediction image with a residual image obtained by dequantizing and inverse-transforming the bitstream, so as to obtain a decoded image; and reconstructing the decoded image into a 360-degree image according to a projection format. Here, generating the prediction image includes: checking, from the syntax information, prediction mode accuracy for a current block to be decoded; determining whether the checked prediction mode accuracy corresponds to most probable mode (MPM) information obtained from the syntax information; and when the checked prediction mode accuracy does not correspond to the MPM information, reconfiguring the MPM information according to the prediction mode accuracy for the current block.

Abstract: A method of determining hysteresis according to an example embodiment may include capturing a real-time image of the surgical robot driven according to a drive input, and measuring a drive angle of the surgical robot by comparing the real-time image to a previously rendered image data set of the surgical robot, and calculating a difference between the drive input and the measured drive angle.

Abstract: Disclosed is a method for updating a node model that resists discrimination propagation in federated learning. The method includes: obtaining a node model corresponding to a data node; calculating a mean value of the distribution of class features and a quantity ratio corresponding to training data of the data node, calculating a distribution weighted aggregation model based on the node model, the mean value of the distribution of class features and the quantity ratio; calculating a regularization term corresponding to the data node based on the node model and the distribution weighted aggregation model; calculating a variance of the distribution of the class features corresponding to the data node, calculating a class balanced complementary term by using a cross-domain feature generator; and updating the node model based on the distribution weighted aggregation model, the regularization term, and the class balanced complementary term.

Abstract: A device for allowing compartmentalized reactions with minimized cross-contamination between the compartments, utilizing a delivery of material by loading wells to pooling wells, such that the pooling wells can be additively provided with reactants while maintaining isolation between the pooling wells. The use of geometric properties is used to facilitate transmission of fluids/droplets without the need for hydrophilic surfaces.

Abstract: A system configured for producing electric power from sea waves. The system includes a buoyant body; an electric generator including an input shaft adapted to rotate with respect to the buoyant body; a first arm coupled to the electric generator; a second arm; and a pivot joint rotatably joining the second arm to the arm. The pivot joint is at a distance, along the first arm, from the input shaft. The first arm connects the second arm to the generator. The tandem arms form a double pendulum system powering an autonomous floating sea analysing station.

Abstract: Disclosed is a disentangled personalized federated learning method via consensus representation extraction and diversity propagation provided by embodiments of the present application. The method includes: receiving, by a current node, local consensus representation extraction models and unique representation extraction models corresponding to other nodes, respectively; extracting, by the current node, the representations of the data of the current node by using the unique representation extraction models of other nodes respectively, and calculating first mutual information between different sets of representation distributions, determining similarity of the data distributions between the nodes based on the size of the first mutual information, and determining aggregation weights corresponding to the other nodes based on the first mutual information; the current node obtains the global consensus representation aggregation model corresponding to the current node.

Abstract: The present disclosure relates to recombinant adeno-associated virus (rAAV) delivery of a GALGT2 polynucleotide. The disclosure provides rAAV and methods of using the rAAV for GALGT2 gene therapy of neuromuscular disorders. Exemplary neuromuscular disorders include, but are not limited to, muscular dystrophies such as Duchenne muscular dystrophy, Congenital Muscular Dystrophy 1A and Limb Girdle Muscular Dystrophy 2D.

Abstract: A method and apparatus for transmitting or receiving a control channel in a communication system. A method for transmitting control information by a base station includes: configuring a control resource set including a plurality of REGs; interleaving, on a frequency axis, the plurality of REGs included in the control resource set; configuring an REG pool including at least two interleaved REGs; configuring at least one CCE in the REG pool; and transmitting control information through a search space configured by the at least one CCE. Therefore, the present invention improves performance of a communication system.