An exhaust gas analyzer to analyze exhaust gas discharged from an internal combustion engine includes an infrared light source, a photodetector, a CO.sub.2 concentration calculation part and an O.sub.2 concentration calculation part. The infrared light source irradiates infrared light to the exhaust gas. The photodetector detects infrared light after passing through the exhaust gas. The CO.sub.2 concentration calculation part calculates a CO.sub.2 concentration in the exhaust gas on the basis of a detection signal obtained by the photodetector. The O.sub.2 concentration calculation part calculates an O.sub.2 concentration in the exhaust gas from the CO.sub.2 concentration by using a fuel combustion reaction equation and an EGR rate in an exhaust gas recirculation system or a value related to the EGR rate.

A method for a wearable device to determine a biological parameter of a tissue of a person. To apply an emitting of a first and a second wavelength of light towards the tissue. To collect and sense a first and a second set of frequency bands from the signals received back from the first and the second wavelengths respectively. The first set of frequency bands represents a first signal which corresponds to a combination of the biological parameter and an extraneous noise. The second set of frequency bands represents a second signal mainly comprising the extraneous noise. To subtract the first set of frequency bands from the second set of frequency bands in the frequency domain to obtain a third set of frequency bands. The third set of frequency bands represents a third signal corresponding to the biological parameter.

The present technology relates to an information processing device capable of obtaining an index effective for a measurement target as an index related to light incident on the measurement target, an information processing method, and a program. The information processing device can obtain an index effective for a measurement target as an index regarding light incident on the measurement target by calculating an effective index representing the degree of light effectively utilized for the measurement target in incident light as an index regarding the light incident on the measurement target, on the basis of a measured value regarding the measurement target which is obtained by sensing performed by a sensor. The present technology can be applied to, for example, an apparatus calculating an index of plants.

A dust sensor includes a photo detector configured to detect light scattered from dust; and a signal processing circuit having a high-pass filter receiving an electric signal generated from output of the photo detector. The signal processing circuit generates a dust detection signal using a signal provided to the high-pass filter as well as a signal output from the high-pass filter.

A method for the time-differentiated detection of a spectrum of a test object comprises providing a first conversion dye, which is configured to convert light with a first spectral distribution in the visible range into light with a second spectral distribution in the infrared range. The first conversion dye is excited with a light pulse in the range of the first spectral distribution during a first time period, and a light fraction, reflected or transmitted by the test object, in the range of the first spectral distribution is registered during a first time interval. During a subsequent second time period, a fraction of converted light reflected or transmitted by the test object is registered. According to the invention, the first time interval is selected so that it lies substantially inside a luminescence lifetime for the first conversion dye in the first time period.

A method for a wearable device to determine a biological parameter of a tissue of a person. To apply an emitting of a first and a second wavelength of light towards the tissue. To collect and sense a first and a second set of frequency bands from the signals received back from the first and the second wavelengths, respectively. The first set of frequency bands represents a first signal which corresponds to a combination of the biological parameter and an extraneous noise. The second set of frequency bands represents a second signal mainly comprising the extraneous noise. To subtract the first set of frequency bands from the second set of frequency bands in the frequency domain to obtain a third set of frequency bands. The third set of frequency bands represents a third signal corresponding to the biological parameter.

In a heating appliance comprising a substrate for receiving an item of cookware, a method of measuring reflectivity comprises emitting a time-varying electromagnetic signal from a first side of the substrate, a portion of the time-varying electromagnetic signal propagating through the substrate. Electromagnetic radiation is then received at the first side of the substrate, the received electromagnetic radiation comprising a background ambient component received and a component reflected by the substrate. A gain factor is applied to translate the received electromagnetic radiation to a receive electrical signal. An offset signal component is then identified from the receive electrical signal, the offset signal component arising from the background ambient component of the received electromagnetic radiation. The gain factor from the offset signal component is then estimated using a characterisation of the offset signal component, and the reflectivity is calculated using the receive electrical signal and the estimated gain factor.

A time measuring apparatus 10 includes a digital counter 20 that outputs a count signal in response to a clock signal, a plurality of TAC circuits 12 (TAC circuits 12a to 12j) to which a detection signal detected by a detector 4 and a clock signal are input and which output measurement signals corresponding to a time between the detection signal and the clock signal, a control unit 14 that derives and outputs time information related to the detection signal based on the count signal output from the digital counter 20 and the measurement signals output from the TAC circuits 12, and a measurement gate 11 that switches between the TAC circuits 12 to which the detection signal is input, in consideration of dead times of the TAC circuits 12.

A detection system for detecting fluorescence lifetime includes an excitation light source configured for repeatedly generating pulsed excitation light, and a detector. The detector has a single-photon detection circuit; a pulse-inhibit circuit for rejecting detected photons that occur outside each one of a series of measurement time windows, each subsequent measurement time window starting after a subsequent excitation light pulse has stopped, and stopping before a next excitation light pulse is generated, each measurement time window having a measurement window period; and a switched-capacitor circuit having an input terminal for receiving a voltage ramp signal that is restarted with each new measurement window period. The switched-capacitor circuit is configured for repetitively computing an average voltage. The switched-capacitor circuit has a node for outputting the computed average voltage as a measure of the fluorescence lifetime.

The present invention relates to a method of determining petroleum hydrocarbon fractions (Cn) in a sample, the method including: inputting the sample into a chamber; emitting infrared light from an optical light source into the chamber with the sample; detecting at a detector a detected infrared light from the chamber; transforming the detected infrared light to a Fourier Transform Infrared (FTIR) spectrum of the sample at a processor, wherein the FTIR spectrum has wavenumbers between 4000 and 400 cm−1; processing the FTIR spectrum to identify sub-bands each having at least one doublet of sub-band peaks at respective wavenumbers in a second derivative curve of the FTIR spectrum using a second derivation algorithm implemented by the processor; comparing the at least one doublet of sub-band peaks to data indicative of known doublets of sub-band peaks at known wavenumbers for petroleum hydrocarbon fractions in the FTIR spectrum to classify the petroleum hydrocarbon fractions in the sample; and determining a dominant petroleum hydrocarbon fraction of the petroleum hydrocarbon fractions in the sample based on a ratio of intensities of the sub-band peaks of the at least one doublet for each of the petroleum hydrocarbon fractions in the sample.