A means to automate, using fuzzy logic, the classification of spectral power distributions of optical radiation for lighting systems, and more particularly horticultural lighting systems, is presented. After inputting the spectral power distribution of optical radiation from one or more light sources, radial basis function weights for the spectral power distribution are determined and fuzzified preparatory to fuzzy logic classification. Fuzzy if-then rules are then applied, and an aggregate of the rule votes from the fuzzy if-then rules applied is used to classify the spectral power distribution. The system utilizes a spectral sensor, a fuzzifier module, a fuzzy rule database, fuzzy rule engine, an output fuzzifier module, and a means of displaying the spectral power distribution classification.

An electronic device and a method for spectral model explanation are provided. The method includes: obtaining first labeled spectral data; storing a plurality of pipelines, selecting a selected pipeline from the pipelines, and generating a first measurement result corresponding to the first labeled spectral data according to the selected pipeline; and determining an important wavelength range corresponding to the selected pipeline according to the first measurement result.

In some implementations, a device may identify, based on spectroscopic data, a pseudo steady state end point indicating an end of a pseudo steady state associated with the blending process. The device may identify a reference block and a test block from the spectroscopic data based on the pseudo steady state end point. The device may generate a raw detection signal associated with the reference block and a raw detection signal associated with the test block. The device may generate a statistical detection signal based on the raw detection signal associated with the reference block and the raw detection signal associated with the test block. The device may determine whether the blending process has reached a steady state based on the statistical detection signal.

A system for non-invasively interrogating an in vivo sample for measurement of analytes comprises a pulse sensor coupled to the in vivo sample for detect a blood pulse of the sample and for generating a corresponding pulse signal, a laser generator for generating a laser radiation having a wavelength, power and diameter, the laser radiation being directed toward the sample to elicit Raman signals, a laser controller adapted to activate the laser generator, a spectrometer situated to receive the Raman signals and to generate analyte spectral data; and a computing device coupled to the pulse sensor, laser controller and spectrometer which is adapted to correlate the spectral data with the pulse signal based on timing data received from the laser controller in order to isolate spectral components from analytes within the blood of the sample from spectral components from analytes arising from non-blood components of the sample.

Systems and methods are provided for a UV-VIS spectrophotometer, such as a UV-VIS detector unit included in a high-performance liquid chromatography system. In one example, a system for the UV-VIS detector unit may include a first light source, a signal detector, a flow path positioned intermediate the first light source and the signal detector, a second light source, and a reference detector. The first light source, the signal detector, and the flow path may be aligned along a first axis, and the second light source and the reference detector may be aligned along a second axis, different than the first axis.

A system and method for non-destructive, in situ, positive material identification of a pipe selects a plurality of test areas that are separated axially and circumferentially from one another and then polishes a portion of each test area. Within each polished area, a non-destructive test device is used to collect mechanical property data and another non-destructive test device is used to collect chemical property data. An overall mean for the mechanical property data, and for the chemical property data, is calculated using at least two data collection runs. The means are compared to a known material standard to determine, at a high level of confidence, ultimate yield strength and ultimate tensile strength within +/10%, a carbon percentage within +/25%, and a manganese percentage within +/20% of a known material standard.

A gas detecting apparatus and a gas detecting method based on terahertz spectroscopy are provided. The apparatus includes a sample chamber allowing a terahertz wave to pass therethrough; a gas feeding unit connected to the sample chamber to feed gas into the sample chamber; a gas outputting unit connected to the sample chamber to output gas from the sample chamber; and a vacuum pump connected to the sample chamber to evacuate the sample chamber. The apparatus further comprises one or more of a pressure gauge disposed on the sample chamber, an anemometer disposed on the sample chamber, a humidity regulation device connected to the sample chamber, and a temperature regulation device connected to the sample chamber.

An Image based handheld imager system is disclosed utilizing consumer-grade 2D camera arrays, while also addressing the problems of image quality, sensitivity, and imaging depth.

An optical measuring device includes a light measurement unit, an acceleration sensor for detecting the acceleration of the optical measuring device, a storage for storing reference data obtained from the light measurement unit by measuring light from a reference object at a first timing and storing the acceleration detected by the acceleration sensor as history information, a first determination unit for determining whether the result of comparison between measurement data obtained from the light measurement unit by measuring light from the reference object at a second timing later than the first timing and the reference data satisfies a first malfunction condition, a second determination unit for determining whether the acceleration included in the history information satisfies a second malfunction condition, and an output unit for outputting that the optical measuring device malfunctions when the first malfunction condition and the second malfunction condition are satisfied.

A data set is stored in memory circuitry that is indicative of a state of a semiconductor fabrication process or of semiconductor structure fabricated thereby. Features in the data set are discernable to an extent limited by a data resolution. A machine-learning model comprising parameters having respective values assigned thereto as constrained by a model training process is also stored in the memory circuitry. Processor circuitry communicatively coupled to the memory circuitry generates an output data set from the data set in accordance with the machine-learning model such that features in the output data set are discernable to an extent limited by an output data resolution that is finer than the data resolution of the data set.