Abstract: Provided are a method and electronic device for identifying a size of a measurement target object. The method includes imaging a reference object, which is a reference for identifying the size of the measurement target object, to acquire a reference object image, imaging the measurement target object to acquire a target object image, fusing the acquired reference object image and the acquired target object image, and inputting the fused reference object image and target object image to a first neural network model to acquire size information of the measurement target object from the first neural network model.

Abstract: A stereotactic device for primate brains indicates a brain coordinate reference point of a primate using a simulator for indicating a brain coordinate reference point, thereby providing an initial setting to a zero point corresponding to the brain coordinate reference point. The brain coordinate reference point is conveniently and accurately indicated without relatively expensive equipment, such as a magnetic resonance imaging (MRI) scanner, to determine brain coordinates of the primate, so that a targeting procedure can be conducted on the brain.

Abstract: A nonvolatile memory device having multi-level resistance and capacitance values is provided. Such a nonvolatile memory device includes: a substrate; a first electrode that is provided on the substrate; a dielectric layer that is provided on the first electrode, has resistance and capacitance changed by a tunneling conduction phenomenon of charges according to an applied voltage, has rectifying characteristics, and includes a dielectric material; an active layer that is provided on the dielectric layer, has resistance and capacitance changed according to an applied voltage, and includes a graphene oxide complex; and a second electrode that is provided on the active layer. In addition, the nonvolatile memory device has multi-level resistance and capacitance values according to an applied voltage.

Abstract: The present disclosure relates to a microorganism detection apparatus using a dielectrophoresis (DEP) force.

Abstract: A compressive sensing image sensor includes: a pixel array; and a readout circuit configured to receive pixel data on a shot image in an analogue form, and to process the pixel data, wherein the pixel array includes a plurality of blocks each having a plurality of pixels and arranged in an array form, wherein the circuit includes: a compressive sensing multiplexer to which a plurality of pixel data outputted from a corresponding block from among the plurality of blocks are inputted; an LFSR configured to arbitrarily select at least one pixel data from the plurality of pixel data inputted to the compressive sensing multiplexer; and a delta-sigma ADC configured to receive the at least one pixel data selected by the LFSR, to delta-sigma modulate the received at least one pixel data, and to generate compressive sensing data for restoring an image of the corresponding block from among the shot images.

Abstract: The present invention relates to a boron-dipyrromethene (BODIPY)-based copolymer, a method for preparing the copolymer, a solar cell including the copolymer, and a method for manufacturing the solar cell. By applying the copolymer of the present invention to a hole transporting layer, a solar cell having improved device characteristics such as charge mobility and power conversion efficiency and allowing those characteristics to be maintained for a long time may be provided.

Abstract: Disclosed are a one-pot biosensor and an immunoassay method using the same. The one-pot biosensor includes a photocatalyst substrate deposited with metal nanoparticles; and a reaction pad which is disposed on an upper surface of the photocatalyst substrate and includes a first binding material-fluorescent material complex specifically binding to a molecule to be detected, and the immunoassay method using the same. The one-pot biosensor may detect a target by once solution injection and has a size enough to be portable. Accordingly, since the one-pot biosensor can detect the target by only once solution injection without a washing step, because of a sensor platform capable of being easily used by an individual other than a diagnostic expert, it is predicted to be positioned as a means capable of confirming the health condition of the individual without seeing the doctor, such as a pregnancy diagnostic kit which has been currently commercialized.

Abstract: Provided is a memcapacitor. The memcapacitor includes: a first electrode having a metal-doped perovskite composition; a second electrode disposed on the first electrode; and a dielectric thin film having a perovskite composition, disposed between the first electrode and the second electrode, and having a variable dielectric constant depending on a voltage between the first electrode and the second electrode.

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: Provided is a mixed reality-based experience simulator including an imaging part including first and second cameras installed on an experience object to capture images of different viewpoints from the experience object, a display part worn by a participant and configured to display a mixed reality image of the experience object to the participant, and an image processing unit configured to provide the mixed reality image to the display part and configured to generate the mixed reality image such that images captured by the first and second cameras are included in the mixed reality image. The mixed reality-based experience simulator according to the present invention generates a mixed reality image on the basis of images captured by a plurality of cameras installed on an experience object and provides the generated mixed reality image to a participant so that a more realistic experience is provided.

Abstract: Provided is a memcapacitor. The memcapacitor includes: a first electrode having a metal-doped perovskite composition; a second electrode disposed on the first electrode; and a dielectric thin film having a perovskite composition, disposed between the first electrode and the second electrode, and having a variable dielectric constant depending on a voltage between the first electrode and the second electrode.

Abstract: A speech processing apparatus includes a plurality of microphones configured to receive a plurality of input signals, and processing circuitry configured to generate a spatial filtering signal corresponding to the plurality of input signals through spatial filtering, generate estimated noise information by integrating directional noise information representing a level of a noise signal received from a direction of interest with diffuse noise information representing levels of noise signals received from various directions based on whether the plurality of input signals have directionality, and generate an estimated speech signal by filtering the spatial filtering signal based on the estimated noise information.

Abstract: An apparatus for analyzing a biological material component may include an impedance sensor comprising a first electrode having a first contact surface that contacts an analysis target, and a second electrode having a second contact surface that contacts the analysis target and that faces the first contact surface. The apparatus may include an impedance measurement assembly configured to measure impedance of the analysis target using the first electrode and the second electrode. The apparatus may include a processor configured to model the measured impedance as an equivalent circuit, and analyze a biological material component based on a modeling result.

Abstract: A method for generating a target network by performing neural architecture search using optimized search space is provided. The method includes steps of: a computing device (a) if a target data is inputted into the target network, allowing the target network to apply neural network operation to the target data, to generate an estimated search vector; and (b) allowing a loss layer to calculate architecture parameter losses by referring to the estimated search vector and a ground truth search vector, and to perform backpropagation by referring to the architecture parameter losses to update architecture parameter vectors for determining final layer operations among candidate layer operations included in an optimized layer type set corresponding to the optimized search space and wherein the final layer operations are to be performed by neural blocks, within cells of the target network, arranged according to an optimized cell template corresponding to the optimized search space.

Abstract: A light emitting device array includes a substrate, a heat sink disposed on the substrate, at least two light emitting devices disposed on the heat sink and spaced apart from each other, a connector disposed on the light emitting device and configured to apply power, an insulating layer interposed between the heat sink and the connector, a fixing member configured to support a position of the light emitting device, on the light emitting device, and an adhesive layer provided on the fixing member to make contact with a skin.

Abstract: A method for generating a target network by performing neural architecture search using optimized search space is provided. The method includes steps of: a computing device (a) if a target data is inputted into the target network, allowing the target network to apply neural network operation to the target data, to generate an estimated search vector; and (b) allowing a loss layer to calculate architecture parameter losses by referring to the estimated search vector and a ground truth search vector, and to perform backpropagation by referring to the architecture parameter losses to update architecture parameter vectors for determining final layer operations among candidate layer operations included in an optimized layer type set corresponding to the optimized search space and wherein the final layer operations are to be performed by neural blocks, within cells of the target network, arranged according to an optimized cell template corresponding to the optimized search space.

Abstract: A method for preparing a negative electrode active material for a lithium secondary battery according to one aspect of the present invention comprises the steps of: uniformly mixing silicon and metal oxide; and heating or ball-milling the mixture.

Abstract: A first electronic device according to various embodiments may select one of a plurality of representation matrices and one of a plurality of measurement matrices on the basis of a pattern and/or feature of data received from a sensor. The selection of the representation matrix and the measurement matrix may be performed on the basis of machine learning. Based on the selected representation matrix and measurement matrix, the first electronic device may adaptively compress at least a portion of the data. A second electronic device according to various embodiments may restore compressed data on the basis of the result of selecting the representation matrix and the measurement matrix. By dynamically selecting the representation matrix and the measurement matrix on the basis of machine learning, it is possible to reduce an error in the data restored by the second electronic device (e.g., a restoration error).

Abstract: The present disclosure relates to a surface inspection method using a mold surface inspection device, and more specifically, to a surface inspection method using a mold surface inspection device including a setting part in which an inspection object is set, a light source part configured to irradiate the inspection object with irradiated light so that a reflective highlight is generated on a surface of the inspection object, an imaging part configured to image the surface of the inspection object so that a highlight region where a reflective highlight is generated is included, and an image processing part configured to process an image imaged in the imaging part to provide the image to a worker so that the worker determines whether defects are generated on the surface of the inspection object on the basis of the image.

Abstract: The present invention relates to an apparatus for a platelet function test using speckle decorrelation time analysis. An apparatus for a platelet function test according to an exemplary embodiment of the present invention may include: a laser unit for irradiating a blood sample including platelets with a laser; an image capturing unit for obtaining a speckle image of the blood sample irradiated with the laser; and a control unit for determining the speckle decorrelation time for platelets.