Abstract:
Disclosed are a device and a method for anomaly detection of a gas sensor. The device includes a measuring unit that extracts a characteristic of a gas supplied from the outside, generates data based on the extracted characteristic, and outputs the data, and a data processing unit that receives the data, determines whether an error occurs in the data, and outputs an anomaly detection result based on a result of determining whether the error occurs in the data. The measuring unit performs a calibration operation or an environment adjusting operation before extracting the characteristic, and the data processing unit determines whether the error occurs in the data, based on machine learning.
Abstract:
Provided are a plastic microfluid control device having a multi-step microchannel and a method of manufacturing the same. The device includes a lower substrate, and a fluid channel substrate contacting the lower substrate and having a multi-step microchannel having at least two depths in a side coupling to the lower substrate. Thus, the device can precisely control the fluid flow by controlling capillary force in a depth direction of the channel by controlling the fluid using the multi-step microchannel having various channel depths. A multi-step micropattern is formed by repeating photolithography and transferred, thereby easily forming the multi-step microchannel having an even surface and a precisely controlled height.
Abstract:
Disclosed is an artificial intelligence apparatus for detecting a target gas, which includes a mixed gas measurement unit that measures a mixed gas collected in a plurality of domains through a sensor array to generate sensing data including heterogeneous domain measurement data measured from the mixed gas collected in a domain different from the target gas and target domain measurement data measured from the mixed gas collected from the same domain as the target gas, a heterogeneous intelligence model deep learning unit that receives the heterogeneous domain measurement data to train a heterogeneous intelligence model, a target intelligence model deep learning unit that receives the heterogeneous intelligence model and the target domain measurement data to train a target intelligence model, and a target gas detection unit that determines whether an environmental gas includes the target gas using the target intelligence model.
Abstract:
Provided is a multi-port gas flow rate control apparatus. The multi-port gas flow rate control apparatus includes a gas supply chamber configured to supply a measurement gas input through one gas inflow channel while allowing the measurement gas to diverge into a plurality of flows, a plurality of gas divergence flow channels each having one side connected to the gas supply chamber and configured to transfer the measurement gas flowing through the gas supply chamber to a plurality of gas sensors, respectively, and a gas measurement chamber configured to accommodate the plurality of gas sensors, including the plurality of gas divergence flow channels configured to connect to the gas supply chamber to the plurality of gas sensors to transfer a gas outflow diverging through the gas supply chamber to the plurality of accommodated gas sensors, and configured to discharge the gas outflow sensed by the plurality of gas sensors.
Abstract:
A blood glucose prediction method comprising: acquiring a PAS signal by irradiating light to skin of the body, obtaining a photoacoustic image of the skin from the PAS signal, selecting at least one measurement location based on the photoacoustic image; and predicting the blood glucose based on a photoacoustic spectrum of a PAS signal corresponding to the at least one measurement location among the PAS signals, a blood glucose sensor, and a blood glucose prediction system are provided.
Abstract:
Disclosed is a biosensor, comprising: a sensor part including a capillary chip configured to detect a target material; and a pre-treatment part connected to the sensor part and configured to provide a mixed solution including a substrate to the sensor part, in which the capillary chip includes a capillary, at least one of antibody for antigen-antibody reaction with the target material inside the capillary, and a photo sensor detecting a color of the substrate.
Abstract:
Provided is a multi-object biometric information measurement device, which includes at least one sensor module and a processor connected to the sensor module, and the processor recognizes at least one of sneezing information, heart rate/respiratory rate information and core temperature information of an object located in a measurement target space based on sensing data collected through the sensor module.
Abstract:
The present invention relates to a rapid diagnostic kit reader including a measurement module into which a rapid diagnostic kit is inserted and a smart terminal that is seated on the measurement module, photographs a membrane of the rapid diagnostic kit inserted into the measurement module, analyzes an image captured by photographing the membrane, and determines a diagnosis result of the rapid diagnostic kit.
Abstract:
Disclosed are a gas detection intelligence training system and an operating method thereof. The gas detection intelligence training system includes a mixing gas measuring device that collects an environmental gas from a surrounding environment, generates a mixing gas based on the collected environmental gas and a target gas, senses the mixing gas by using a first sensor array and a second sensor array under a first sensing condition and a second sensing condition, respectively, and generates measurement data based on the sensed results of the first sensor array and the second sensor array, and a detection intelligence training device including a processor that generates an ensemble prediction model based on the measurement data.
Abstract:
Provided is a device for amplifying and detecting a gene. The device for amplifying and detecting the gene includes a gene amplification chip comprising channels through which a sample flows and transparent heaters provided on the gene amplification chip. The channels include a first channel, a second channel, and a third channel, and the first to third channels have a triangular loop structure, and the transparent heaters include a first transparent heater, a second transparent heater, and a third transparent heater, which are respectively provided on the first to third channels.