An apparatus for producing an infrared spectrum according to one example of the present disclosure includes: a toxic chemical gas and background infrared spectrum acquisition portion of acquiring a background of a target area and an infrared spectroscopic signal of a gas contaminant plume existing in the background; and a toxic chemical gas infrared spectrum generation portion of training a Generative Adversarial Network (GAN) using acquired background radiation intensity data as learning data, and automatically generating a toxic chemical gas simulation infrared spectrum signal according to an environment setting inputted from a user using a learned GAN. According to the present disclosure, there is an effect that an infrared spectrum of atmosphere contaminated by a toxic chemical gas may be acquired without outdoor experiments using a real toxic chemical gas.

An environmental emission monitoring system may include satellites configured to sense GHG emissions data for an AOI, and a server. The server may be configured to obtain the sensed GHG emissions data from the satellites, obtain geospatial positions of stationary GHG emitting point sources within the AOI, and generate expected stationary GHG emission data for the stationary GHG emitting point sources within the AOI and based upon the geospatial positions. The server may also be configured to obtain geospatial path data for GHG emitting vehicles moving within the AOI, generate expected vehicle GHG emission data for the GHG emitting vehicles moving within the AOI and based on the geospatial path data, and compare a sum of the expected stationary GHG emission data and expected vehicle GHG emission data with the sensed GHG emissions data to identify any stationary GHG emitting point source and any GHG emitting vehicle outside of a respective GHG emission threshold.

The present invention relates to a method for manufacturing a surface-enhanced Raman scattering substrate, a urine pretreatment method, and a method for providing information required for cancer diagnosis through urine metabolite analysis using same.

The present disclosure discloses a method for evaluating the nutritional status in plants, using visible-to-shortwave (VIS-SWIR) infrared reflectance spectroscopy of carbohydrates, particularly in almond trees. The method comprises obtaining a dry plant sample (i.e. leaves, branches and roots), digesting and grinding it to a powder, capturing predetermined spectral data of the ground plant sample, correlating said spectral data to predetermined materials and evaluating said nitrogen status of said plants according to predetermined multivariate statistical models. The data obtained from this method facilitates crop management and fertilization by providing the nitrogen status of the plants based on non-structural carbohydrates.

A measurement system is provided with an array of laser diodes with one or more Bragg reflectors. At least a portion of the light generated by the array is configured to penetrate tissue comprising skin. A detection system configured to: measure a phase shift, and a time-of-flight, of at least a portion of the light from the array of laser diodes reflected from the tissue relative to the portion of the light generated by the array; generate one or more images of the tissue; detect oxy- or deoxy-hemoglobin in the tissue; non-invasively measure blood in blood vessels within or below a dermis layer within the skin; measure one or more physiological parameters based at least in part on the non-invasively measured blood; and measure a variation in the blood or physiological parameter over a period of time.

A sensor configured to determine a physical state of a vehicle occupant within a vehicle includes an electrode containing nanoscale metal fibers. The electrode is located within the vehicle to be in contact with the vehicle occupant. The sensor also includes a controller configured to determine the physical state of the vehicle occupant based on an output of the electrode.

A method of characterizing and monitoring a pressing process includes acquiring online Raman spectra of a juice pressing process within a vessel at different times during the pressing process to generate a training data set; acquiring physical samples from pressing process near in time to the acquired Raman spectra; performing offline measurements of the target analyte properties and/or compositions using an assay measurement technique; generating a correlative model of the target analyte such that spectral changes in the training data set correlate with the offline measurements of the target analyte properties and/or compositions; acquiring online Raman spectra of a subsequent run of the pressing process within the vessel at different times during the run to generate a process data set; and applying the correlative model to the process data set to qualitatively and/or quantitatively predict a value of a property and/or composition of the target analyte.

Devices, systems and methods for sorting and labeling food products are provided. Respective spectra of food products for a plurality of segments of a line are received at a controller from at least one line-scan dispersive spectrometer configured to acquire respective spectra of the food products for the plurality of segments of the line. The controller applies one or more machine learning algorithms to the respective spectra to classify the plurality of segments according to at least one of one or more food parameters. The controller controls one or more of a sorting device and a labeling device according to classifying the plurality of segments to cause the food products to be one or more of sorted and labeled according to the at least one of the one or more food parameters.

An apparatus includes a measurement chamber configured to retain one or more sample substances. The apparatus includes an entrance window mounted on a side of the measurement chamber. The apparatus includes a light source configured to generate an incident light beam. The apparatus includes a Raman sensor configured to collect inelastically scattered light from the chamber, and measure an intensity of a Raman peak of a first substance from the one or more sample substances based on the collected inelastically scattered light. The apparatus further includes a processor configured to (i) calculate a concentration of the first substance based on at least the measured intensity of the Raman peak of the first substance, (ii) determine the end point of a wafer cleaning process based on a calculated concentration of the first substance, and (iii) terminate the wafer cleaning process based on the determined end point.

An apparatus and method for estimating bio-information are provided. The apparatus for estimating bio-information includes: a spectrometer configured to measure a spectrum from an object according to measurement conditions; and a processor configured to obtain signal-to-noise ratio (SNR) values for each wavelength of the spectrum measured by the spectrometer, generate a plurality of simulated absorbance spectra based on the SNR values for each wavelength of the spectrum, and determine an optimal wavelength combination for use in measuring the bio-information based on the plurality of simulated absorbance spectra.