Abstract: An apparatus for estimating biological information of a user may include a light source configured to emit light to an object of the user; an image sensor comprising a pixel array, and configured to acquire successive image frames by detecting light scattered or reflected from the object of the user; and a processor configured to: select a predetermined number of pixel-rows from among pixel-rows of the image sensor, detect signal intensities in the predetermined number of pixel-rows for each image frame of the successive image frames, correct the signal intensities, combine the signal intensities for each image frame of the successive image frames based on correcting the signal intensities, acquire a photoplethysmogram (PPG) signal based on combining the signal intensities, and estimate the biological information of the user based on the PPG signal.

Abstract: A method of providing adaptive augmented reality (AR) streaming and an apparatus performing the method are disclosed. An AR streaming method includes identifying an AR content to be displayed, obtaining a metafile corresponding to the AR content, extracting information of chunks to render the AR content from the metafile, requesting the chunks based on the information, receiving the requested chunks, and rendering the AR content based on the received chunks.

Abstract: Provided is a security code. The security code including a first region and a second region includes a metal layer, a first dielectric pattern provided on the metal layer in the first region, a polymer pattern provided on the metal layer in the second region, a first metal pattern provided on the dielectric pattern, and a second metal pattern provided on the polymer pattern, wherein the polymer pattern includes a material different from that of the first dielectric pattern, and a thickness of the polymer pattern is different from a thickness of the first dielectric pattern.

Abstract: The invention relates to InP-based nanoclusters that include indium and phosphorus and further include zinc, chlorine, or a combination thereof, and to a method of preparing the InP-based nanoparticles including heating the InP-based nanoclusters in the presence of zinc, chlorine, or a combination thereof.

Abstract: Provided is a neural processing device including a noise classifier configured to perform a preprocessing on input data to determine a noise characteristic of the input data, a network selector configured to select one of a plurality of neural networks based on the noise characteristic, and an operator configured to perform inference on the input data based on selected weights corresponding to the selected neural network.

Abstract: Disclosed are a method and apparatus for setting a semiconductor parameter. The method for setting a semiconductor parameter according to an embodiment of the present disclosure is a method performed on a computing apparatus including one or more processors and a memory storing one or more programs executed by the one or more processors, the method including acquiring electrical measurement parameters corresponding to preset semiconductor manufacturing parameters, classifying the electrical measurement parameters into a plurality of groups according to a degree of correlation, extracting a correlation axis reflecting a correlation between electrical measurement parameters belonging to a corresponding group for each classified group, and predicting a figure of merit of a semiconductor device by using data values of electrical measurement parameters belonging to the corresponding group as input based on the correlation axis of each group.

Abstract: A data transmitter includes a transmitting circuit configured to transmit data, the data including alternating odd-numbered data and even-numbered data. The transmitting circuit includes a first flip flop configured to receive the odd-numbered data and generate retimed odd-numbered data, and a second flip flop configured to receive the even-numbered data and generate retimed even-numbered data. The data transmitter includes a clock transmitting circuit configured to supply a clock signal to the transmitting circuit, the clock transmitting circuit including a clock driver configured to transmit the clock signal to a receiver that receives the data.

Abstract: The method for decellularization of kidney tissue according to the present invention, the decellularized material produced through the method, and a bioink comprising the decellularized material have the effect of maximizing the effect of kidney treatment by maximizing the content of components specialized for kidney treatment such as the collecting duct and renal tubule of the kidney.

Abstract: A photoacoustic, noninvasive, and continuous blood glucose measurement device includes: a diode laser for irradiating a living body with a pulsed laser signal having a specific wavelength; and an ultrasound transducer for measuring a photoacoustic signal in a form of ultrasonic waves generated by a reaction of the living body with the pulsed laser signal.

Abstract: A method and apparatus for performing anomaly detection by using a neural network are provided. The apparatus is configured to extract input features of an input data signal, obtain output features of the neural network by processing the input features through the neural network, obtain an error based on the input features and the output features, and determine whether the input data signal indicates an abnormal signal based on the error and a threshold.

Abstract: A user authentication method performed by an authentication management server constituting a block chain network with a target device may comprise receiving, from the target device, a transaction including authentication information of a user and a unique value of the target device; determining a token of the user stored in a smart contract based on the authentication information; and authenticating the user based on validity information of the token, ownership information of the token, and the transaction.

Abstract: Provided is a method for forming a chalcogenide thin film, the method including forming a chalcogen element-containing film on a carrier substrate, disposing the chalcogen element-containing film on a silicon wafer, wherein the surface of the silicon wafer and the surface of the chalcogen element-containing film are in contact with each other, performing heat treatment on the silicon wafer and the chalcogen element-containing film at least one time, and removing the carrier substrate. The silicon wafer has a crystal plane of (111).

Abstract: An antenna device according to an embodiment of the present invention includes a dielectric layer, a radiation pattern disposed on a top surface of the dielectric layer, a signal pad electrically connected to the radiation pattern, and a ground pad spaced apart from the signal pad and having an isolation space. A length of the isolation space is greater than a length of the signal pad.

Abstract: Porous carbon particles, and a positive electrode active material and a lithium secondary battery including the same. This may improve the energy density of the lithium secondary battery by applying a porous electrode containing micropores and mesopores and having a uniform size distribution and shape as a positive electrode material.

Abstract: Disclosed is an operating method of an electronic device which includes a processor performing machine learning of a monocular depth estimation module. The operating method includes obtaining, by the processor, a first image and a second image respectively photographed by a first camera and a second camera of different locations, inferring, by the processor, a plurality of multi-cyclic disparities by applying weights of the monocular depth estimation module to the first image plural times and calculating a plurality of multi-cyclic loss functions based on the first image, the second image, and the plurality of multi-cyclic disparities, and updating, by the processor, the weights of the monocular depth estimation module through machine learning, based on the plurality of multi-cyclic loss functions.

Abstract: An apparatus for text-to-image generation which is a self-supervised based on one-stage generative adversarial network and uses a discriminator network that extracts an image feature may comprise: a text encoder that extracts a sentence vector from input text; a discriminator that determines whether or not an image matches the text from the sentence vector and the image input from a generator; and a decoder that is connected to an encoder inside the discriminator, wherein the decoder and the encoder form an autoencoder structure inside the discriminator.

Abstract: Disclosed is a method of tracking multiple objects included in an image using a multi-object tracking apparatus including an integrated similarity neural network, the method including setting a tracking area in an input image, extracting at least one object candidate for a target object from the tracking area; extracting reference features for the target object, the object candidate, and the tracking area, selecting two of the target object, the object candidate, and the tracking area to evaluate similarity based on the reference features; allocating the object candidate to the target object on the basis of the evaluated similarity; and tracking the target object on the basis of a location of the allocated object candidate.

Abstract: The present invention relates to a recombinant spike protein of the COVID-19 virus forming a trimer and a method for mass-producing the recombinant spike protein, and more specifically to a method for designing a recombinant gene expressing a recombinant spike protein of the COVID-19 virus forming a trimer for the purposes of enhancing immunogenicity and effective antigen delivery, and a method for mass-producing the recombinant spike protein in plants.

Abstract: There is provided an analysis device for generating an excitation time map, which includes an interface device configured to receive time-series medical images of a subject and a computing device configured to generate an excitation time map by solving a diffusion reaction of electrical signals calculated from the time-series medical images using a solution of an ordinary differential equation. The excitation time map indicates excitation times at grid points of the time-series medical image.

Abstract: A method of detecting an object using an object boundary localization uncertainty aware network and an object boundary localization uncertainty attention module may comprise: calculating a convolutional feature from a single image through a convolutional neural network of an existing object detection neural network and then learning a classification and location of an object to detect the object; inputting an obtained localization value and a ground truth value of the object to the object boundary localization uncertainty aware network to learn an object boundary localization uncertainty; calculating, by the object boundary localization uncertainty attention module, an object boundary feature using the obtained object boundary localization uncertainty and training an object detection correction neural network using the object boundary feature; and aggregating an existing object detection result and a correction result to calculate a final object detection result.