Abstract: An input-dependent uncorrelated weighting method is provided. The input-dependent uncorrelated weighting method includes: receiving an independent image and a correlated image; calculating differences between pixel estimates at a center pixel and neighboring pixels in the independent image and the correlated image, and an input-dependent kernel; and generating a denoised output image using the denoised pixel estimate at the center pixel, wherein the input-dependent kernel may be calculated by assuming that a sub-averaged estimate for calculating the difference in at least one of the independent image and the correlated image has a symmetric distribution.

Abstract: The present invention relates to an oxide glass composition having a low dielectric constant and dielectric dissipation factor. The oxide glass composition according to the present invention can provide a glass material for PCBs, glass fibers and glass substrates having a low dielectric constant and dielectric dissipation factor properties. The oxide glass composition according to the present invention has a low softening temperature and excellent clarification characteristics, and thus can solve various problems of existing technologies.

Abstract: An embodiment provides a catalyst for water electrolysis which includes an iridium mixed phase formed by physical mixing of two or more selected from metal iridium (Ir), iridium(III) oxide (Ir2O3), or iridium(IV) oxide (IrO2) and has a structure in which nanosheets composed of the iridium mixed phase are stacked. The catalyst for water electrolysis may exhibit high activity and stability for the oxygen evolution reaction in water electrolysis.

Abstract: Provided are an organic magnetic material and a semiconductor device including the same. According to the inventive concept, the organic magnetic material may include a material represented by Formula 1 below.

Abstract: Proposed is a genomic editing vector for Eubacterium callanderi for the CRISPR/Cas9 system. The genomic editing vector for Eubacterium callanderi includes a DNA sequence encoding a guide RNA (gRNA) of a cleavage target gene; a DNA sequence encoding a Cas9 protein; a Prbo promoter that is operably linked to the DNA sequence encoding a Cas9 protein; a replication starting point derived from E. coli; a replication starting point for Eubacterium callanderi; and a marker for selecting transgenic strains. It is possible to provide a genomic editing vector for Eubacterium callanderi that can be applied to Eubacterium callanderi strains that are acetogen that is suitable for syngas biorefinery, a method for editing a genome of Eubacterium callanderi strains using the same, and transgenic Eubacterium callanderi strains using the same.

Abstract: We disclose a blockchain e-voting system, where keeping the basic principles of voting does not require trusted-third parties. The system includes at least two vote nodes each having two sets of private and public keys, a voter management node, two smart contract modules, and a blockchain. A voter management node is configured to provide a cryptographic base for public key generation and to pre-register DIDs of vote nodes. A first smart contract module is configured to perform self-identification of vote nodes, encryption of votes, and generation of zero-knowledge proofs for the validity of their results, and to upload all the outputs to a blockchain. For the purpose, a vote node executes the first smart contract module, taking a voting decision, an asserted DID, the two sets of public and private keys as inputs, where one set of keys is for the self-identification, and another set is for the encryption.

Abstract: The present disclosure relates to a method for determining battery design parameters that satisfy all of current rate (C-rate)-specific target capacities using a neural network model. A method for determining battery design parameters according to an embodiment of the present disclosure includes: training a neural network model with correlations between design parameters of a battery and current rate-specific capacities; creating profiles of current rate-specific capacities corresponding to design parameters, respectively, by inputting design parameters sampled within preset ranges into the neural network model; and determining at least one group of design parameters satisfying all of current rate-specific target capacity conditions on the basis of the profiles.

Abstract: An apparatus and a method of correcting a mismatch of a time-interleaved analog-to-digital converter are provided. The apparatus may include: a time-interleaved analog-to-digital converter configured to receive a non-return-to-zero (NRZ) signal in a correction mode and generate a first output signal, and including a plurality of analog-to-digital converters; and a mismatch corrector configured to generate a second output signal by processing the first output signal of the time-interleaved analog-to-digital converter based on parameters, wherein the parameters may be generated based on the first output signal of the time-interleaved analog-to-digital converter in the correction mode, and a period of the NRZ signal may be different from a product of a sampling period of the time-interleaved analog-to-digital converter and a number of the plurality of analog-to-digital converters included in the time-interleaved analog-to-digital converter.

Abstract: Disclosed is an optical phased array antenna for a lidar that outputs output light provided from a light source to a measurement object and that receives reflective light reflecting from the measurement object, the optical phased array antenna including: a combiner configured to receive output light output from the light source or to output the reflective light; a phase modulation module configured to modulate a phase of the output light input from the combiner or the reflective light that is transmitted to the combiner; and an optical input/output unit configured to output the output light modulated by the phase modulation module or receive the reflective light reflecting from the measurement object and configured to have an antenna element waveguide to which the output light or the reflective light propagates and that extends a predetermined length.

Abstract: A fishing gear loss management system includes: fishing gear which is provided underwater, and which provides identification information and location information thereof to the outside; a fishing vessel terminal device, which communicates with the fishing gear and provides fishing vessel information; and a fishing gear loss management device, which performs a management function for the fishing gear or fishing vessel within a preset control area, receives fishing gear location information from the fishing gear and the flow speed and direction of tidal currents from the outside, calculates the flow speed and direction information of the fishing gear on the basis of the received fishing gear location information, and estimates whether the fishing gear is lost and the current location of the lost fishing gear on the basis of the calculated flow speed and direction information and the tidal current flow speed and direction information.

Abstract: A device for relieving dementia symptoms is disclosed. The device for relieving dementia symptoms includes a light stimulation part disposed at a location within a preset radius from an eyeball and frontal lobe of a patient and configured to relieve dementia symptoms of the patient by radiating light having a preset wavelength band to an optic nerve and frontal lobe of the patient, and a central processing unit configured to control an operation of the light stimulation part.

Abstract: The present invention relates to a multi-microorganism detection system, and more particularly, to a multi-microorganism detection system using a dielectrophoresis force. Provided is a rapid and accurate multi-microorganism detection system. Microorganisms are concentrated at a high throughput using DEP after synthesizing the microorganisms and fluorescent magnetic particles, and when a complex in which the fluorescent magnetic particles are bound to the microorganisms passes through a detection unit by moving only the microorganisms to the detection unit after separating the magnetic particles from the complex (i.e., the microorganisms to which the magnetic particles are bound) using a DEP force, a fluorescence signal of a specific wavelength band is generated according to the type of the fluorescent magnetic particle and the concentration of the microorganisms according to the type of microorganism is measured by measuring and analyzing the fluorescence signal.

Abstract: The present disclosure relates to a method and apparatus for split liability assessment of a car accident video using deep learning. The method for split liability assessment of a car accident video using deep learning according to an embodiment of the present disclosure may include: (a) obtaining car accident video data; and (b) outputting accidental split liability information by applying the obtained car accident video data to an accidental split liability determination model.

Abstract: A learning data augmentation method is disclosed. According to the method, a learning target image is received, a frequency spectrum corresponding to the learning target image is obtained by applying frequency transformation to the learning target image, a plurality of sub-frequency spectra from the frequency spectrum is obtained by separating the frequency spectrum according to a plurality of preset frequency bands, and a learning data set is obtained by applying inverse frequency transformation to each of the plurality of obtained sub-frequency spectra.

Abstract: An apparatus for quantum-based physically unclonable functions is disclosed. The apparatus for quantum-based physically unclonable functions according to an embodiment of the present embodiment comprises a random nanostructure formed on a substrate by hydrothermal synthesis, wherein the random nanostructure emits a laser light of a predetermined pattern through the quantum activity of the random nanostructure.

Abstract: The present invention provides a composition for freezing control, a composition for freezing a cell, and a composition for freezing a food, which include a compound in which 2 to 5 amino acids, for example, 2, 3, 4, or 5 amino acids are connected to fluorenylmethyloxycarbony (Fmoc) through peptide bonding.

Abstract: An electronic device and operating method for removing a noise of an image are disclosed. A method of operating an electronic device includes generating a common input including an initial image and geometry buffer (G-buffer) images rendered according to a view point of a current frame, generating a third input and a fourth input based on a first input and a second input, determining a bandwidth for filtering noise of the initial image based on the common input and one of the third input and the fourth input, and outputting a target image obtained by removing noise from the initial image of the current frame based on the common input, the third input, the fourth input, and the bandwidth.

Abstract: A motion feedback method is disclosed. The method includes: acquiring a frame in which a scene of the motion performed by a user is captured through a camera; acquiring motion data of the user by analyzing the captured frame; acquiring pressure data measured in response to the user's motion through a pressure sensor; generating comparison target data by normalizing the motion data and the pressure data so as to correspond to pre-prepared reference data according to the expert's motion; and comparing the reference data and the comparison target data to generate feedback data for the user's motion, and outputting the generated feedback data.

Abstract: The present disclosure relates to a microbial concentration detection element in an unknown solution. In more detail, the microbial concentration detection element includes: a preprocessing unit configured to produce a microbe substitution solution by transferring microbes in an unknown solution containing detection target microbes into a reference solution through acoustophoresis, and to calculate electrical property information of the microbe substitution solution; and a microbe concentration measurement unit configured to separate the microbe substitution solution into a microbe concentration solution and a filtered solution through dielectrophoresis on the basis of the electrical property information measured by the preprocessing unit, and then measure a microbial concentration of the microbe concentration solution.

Abstract: The present disclosure relates to a microorganism detection apparatus using a dielectrophoresis (DEP) force. A microorganism detection apparatus according to one embodiment of the present disclosure may include a detection unit that detects microbial particles using a DEP force corresponding to latex particles combined with the microbial particles.