Abstract: An apparatus for estimating biological information may include a sensor configured to detect a first light signal and a second light signal from an object of a user and a processor configured to determine whether a condition for estimating biological information is satisfied based on the detected first light signal and estimate biological information based on the second light signal, wherein the sensor includes a force sensor configured to measure a force applied to the object when the object is in contact with a cover surface of the sensor.

Abstract: Provided are a method of analyzing biological samples, an analytical chip and an analytical system comprising same, the method comprising the steps of: introducing structures for assisting the formation of bioreactors on a substrate; providing a plurality of bioreactors on the substrate by means of forming the bioreactors, which are holding biological samples, on the peripheral parts of the respective structures so as to come in contact with the structures in at least one region; and checking a change in the biological samples present in the bioreactors.

Abstract: A column address generation circuit including: a command set conversion section configured to generate column address information on the basis of sector information included in a first command set synchronized with a first clock signal, and to output a second command set from the first command set by replacing information on column address cycles of the first clock signal with the column address information in response to a conversion signal; and a column address output section configured to output a column address on the basis of the second command set.

Abstract: Methods are provided herein for deposition of oxide films. Oxide films may be deposited, including selective deposition of oxide thin films on a first surface of a substrate relative to a second, different surface of the same substrate. For example, an oxide thin film such as an insulating metal oxide thin film may be selectively deposited on a first surface of a substrate relative to a second, different surface of the same substrate. The second, different surface may be an organic passivation layer.

Abstract: The present application provides an air purifier with a function of inactivating collected pathogens in a filter portion. More specifically, the present application provides an air purifier with a function of inactivating collected pathogens in a filter portion, the air purifier being capable of efficiently inactivating collected pathogens in the filter portion while protecting a pathogen collection filter portion and significantly reducing ozone to be treated by an ozone catalyst portion by optimizing operation of a plasma filter portion, and an air purifying method using the same.

Abstract: The present disclosure provides a quarantine air-conditioning system for preventing a spread of airborne infectious diseases, and more particularly, to a quarantine air-conditioning system for preventing a spread of airborne infectious diseases, which may accurately predict a risk of infection with airborne infectious diseases to thus effectively prevent a spread of the airborne infectious diseases, and a method for preventing a spread of airborne infectious diseases using the same.

Abstract: The disclosed technology generally relates to forming a titanium nitride-based thin films, and more particularly to a conformal and smooth titanium nitride-based thin films and methods of forming the same. In one aspect, a method of forming a thin film comprising one or both of TiSiN or TiAlN comprises exposing a semiconductor substrate to one or more vapor deposition cycles at a pressure in a reaction chamber greater than 1 torr, wherein a plurality of the vapor deposition cycles comprises an exposure to a titanium (Ti) precursor, an exposure to a nitrogen (N) precursor and an exposure to one or both of a silicon (Si) precursor or an aluminum (Al) precursor.

Abstract: A method for estimating arrhythmia using artificial neural networks includes: extracting, by a plurality of attention heads of a system, feature vectors related to different types of arrhythmic state from a target biosignal of a subject with respect to the respective attention heads, and combining the extracted feature vectors by weighting and averaging the feature vectors on the basis of weights of the respective attention heads to derive a unified feature vector; determining, by a classifier of the system, a result of prediction of a type of arrhythmic state to which the target biosignal corresponds as a classification probability, on the basis of the unified feature vector, and determining a level of confidence in the prediction; and combining, by a combination layer of the system, the classification probability and the prediction confidence level to derive a final probability of the type of arrhythmic state to which the target biosignal corresponds.

Abstract: Methods are provided herein for deposition of oxide films. Oxide films may be deposited, including selective deposition of oxide thin films on a first surface of a substrate relative to a second, different surface of the same substrate. For example, an oxide thin film such as an insulating metal oxide thin film may be selectively deposited on a first surface of a substrate relative to a second, different surface of the same substrate. The second, different surface may be an organic passivation layer.

Abstract: Earphones comprise a first earphone for collecting a first biosignal and a second earphone for collecting a second biosignal. The second earphone is wirelessly connected to the first earphone and configured to quantize the second biosignal into a second digital signal and transmit the second digital signal to the first earphone together with a set of marker bits representing a time at which the second biosignal is collected. The first earphone includes a biosignal processor configured to quantize the first biosignal into a first digital signal and synchronize the first and second digital signals with reference to the set of marker bits to generate an electrocardiogram (ECG) signal; and a transmitter configured to transmit the ECG signal to a digital device wirelessly connected to the first earphone.

Abstract: Provided are a lithium primary battery in which a structure of an electrode closely related to output characteristics of the battery is improved to expand a reaction area, thus improving the output characteristics of the battery, and a method for manufacturing the lithium primary battery.

Abstract: A method for estimating arrhythmia using a composite artificial neural network includes the steps of estimating a class corresponding to a beat segment included in a first section of an electrocardiogram (ECG) signal, using a first artificial neural network; estimating a class corresponding to the first section of the ECG signal, using a second artificial neural network; and mutually verifying the estimated class corresponding to the beat segment included in the first section of the ECG signal and the estimated class corresponding to the first section of the ECG signal.

Abstract: The disclosed technology generally relates to semiconductor devices, and more particularly to an encapsulation layer for a semiconductor device having a chalcogenide material, and methods of forming the same. In one aspect, a method of fabricating a semiconductor device comprises providing a substrate having an exposed surface comprising a chalcogenide material. The method additionally comprises forming a low-electronegativity (low-?) metal oxide layer on the chalcogenide material by cyclically exposing the substrate to a low-? metal precursor and an oxygen precursor comprising O2, wherein the low-? metal of the metal precursor has an electronegativity of 1.6 or lower.

Abstract: A method for detecting and classifying a beat in an electrocardiogram (ECG) signal includes detecting a QRS waveform in an ECG signal using a waveform detection model, and detecting a class of a cardiac event capable of being derived from the QRS waveform; and detecting a unique R-peak in the QRS waveform using a regression model.

Abstract: The disclosed technology generally relates to forming a titanium nitride layer, and more particularly to forming by atomic layer deposition a titanium nitride layer on a seed layer. In one aspect, a semiconductor structure comprises a semiconductor substrate comprising a non-metallic surface. The semiconductor structure additionally comprises a seed layer comprising silicon (Si) and nitrogen (N) conformally coating the non-metallic surface and a TiN layer conformally coating the seed layer. Aspects are also directed to methods of forming the semiconductor structures.

Abstract: A method for managing biosignal data is provided. The method includes the steps of: generating an encryption key for encrypting biosignal data associated with a second device, with reference to first public information determined on the basis of secret information of a first device, and secret information of the second device; and providing second public information determined on the basis of the secret information of the second device, and the biosignal data encrypted on the basis of the encryption key to the first device.

Abstract: A method for managing biometric information is provided. The method includes the steps of: determining whether a cardiac disorder event has occurred to a user on the basis of biometric information measured from the user's body and situation information associated with the biometric information; providing alarm information associated with the cardiac disorder event to the user in response to determining that the cardiac disorder event has occurred; and associating a time point of occurrence of the cardiac disorder event with feedback information acquired from the user in response to the provided alarm information.

Abstract: A method and system for training a self-converging generative network are disclosed. A method for training a self-converging generative network according to one embodiment of the present invention comprises the steps of: pairwise-mapping training images and latent space vectors constituting a training data set; defining a loss function for a generator of the self-converging generative network and a loss function for a latent space; and training weights and latent vectors of the self-converging generative network using the loss function for the generator and the loss function for the latent space.

Abstract: Disclosed herein is an in-mold electronics (IME) structure. The IME structure includes a film, a first plastic resin positioned under the film, and a second plastic resin positioned under the first plastic resin. An electronic circuit is formed on a top or bottom surface of the second plastic resin by a plating method and also electronic elements are mounted thereon. The electronic elements include LED light sources, a plurality of protruding light guides configured to guide lighting through distribution and direction is formed on the top surface of the second plastic resin, and the LED light sources are installed in respective spaces provided by the light guides.

Abstract: The disclosed technology generally relates to forming a thin film comprising titanium nitride (TiN), and more particularly to forming by a cyclical vapor deposition process the thin film comprising (TiN).