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.

An approach to remotely and noninvasively detect and evaluate the response of a plant or plant population to a man-made or natural treatment regime (e.g., herbicide, fungicide or fertilizer treatment) via spectral imaging methods and systems comprising the capture of a plurality of spectral images for a common plant scene, each associated with a selected wavelength region of the electromagnetic spectrum, the formulation of an index function from the spectral information indicative of the plant response over time, and the assessment of mathematical parameters quantifying the time-varying plant response to the treatment regime. The plant response to a treatment regime may be quantified in illustrative embodiments in a fraction of the time previously required by many conventional approaches. Applying varying herbicide dosages to segments of the same plant population enables easy determination of a dose-response curve.

A measuring system for automatically determining and/or monitoring the quality of a liquid or viscous foodstuff, including a housing with an interior space for a product container for the foodstuff, the product container has a product space for the foodstuff and a lid provided with a probe with a thermometer, a heating and cooling device for the interior space, a sensor device for determining a non-temperature quality-related parameter value of the foodstuff, and a control unit designed to control the measuring system, measure, store, process and/or export the measured parameter values, and to control the heating and/or the cooling system according to a desired time-temperature program. The cooling system includes a cold buffer, a cooler for the cold buffer, and a separate refrigerant circuit. The cold buffer includes a buffer holder with a phase-transition material, wherein the refrigerant circuit includes a cooling circuit with a pump.

A tint measuring device configured for being connected in series in a fluid flow circuit, the tint measuring device including at least one light source configured for emitting polychromatic light towards the fluid in a measurement zone; a light sensor configured for receiving a light signal either reflected from or transmitted through the fluid, the reflected or the transmitted light signal corresponding to the optical reflection or the optical transmission, respectively, by the fluid, of the polychromatic light emitted towards the fluid by the at least one light source; and a computing unit configured for performing a spectral analysis of the light signal received by the light sensor and for determining a chromatic signature of the fluid.

A method for determining a set of physical parameters of a sample, comprising the steps of: A Retrieving a measured sample temporal trace Es(t), B retrieving a measured reference temporal trace Eref(t), C determining an widened reference temporal trace, called Eref0(t), and determining a discrete Fourier transform {hacek over (E)}.sub.ref0(ω) of the widened reference temporal trace D determining a modeling of an impulse response of the sample in the frequency domain, depending on the set of physical parameters (pi), called sample frequency model {hacek over (E)}.sub.model{Pi}(ω), from the Fourier Transform of the widened reference temporal trace {hacek over (E)}.sub.ref0(ω)and a physical behavior model of the sample, E applying an optimization algorithm on the set of physical parameters (pi) comprising the sub steps of: E1 initializing physical parameters (pi), -realizing iteratively the sub steps of: E2 calculating an inverse discrete Fourier transform of the sample frequency model {hacek over (E)}.sub.model{Pi}(ω), called estimated sample temporal trace E.sub.est{Pi}(t), E3 calculating an error function (ε.sub.er{pi}), until obtaining a set of values (pi.sub.opt) of physical parameters minimizing said error function.

An ultrasound generation member according to an aspect of the present invention includes an ultrasound generation element configured to emit ultrasound in a direction of a target object in one specific container of a plurality of containers. An ultrasound emission device according to an aspect of the present invention includes the ultrasound generation member, and a drive power supply configured to apply voltage across the ultrasound generation element of the ultrasound generation member. An ultrasound emission device according to an aspect of the present invention includes the ultrasound generation member that includes, as the ultrasound generation element, a plurality of ultrasound generation elements, and a drive power supply configured to apply voltage across the plurality of ultrasound generation elements of the ultrasound generation member.

The present invention relates to an optical nanostructure sensing device and an image analysis method. The image analysis method includes: illuminating a light beam from a predetermined incident angle onto a nanostructure pixel sensor; capturing images of the nanostructure pixel sensor when applying an analyte on the nanostructure pixel sensor; obtaining a relationship of periodic spacing and brightness from each of the images; and obtaining wavelength values from the relationship of periodic spacing and brightness at a predetermined brightness value; and determining a sensing process based on a wavelength shift of the wavelength values. The nanostructure pixel sensor includes a plurality of the nanostructure pixels, each of the nanostructure pixels includes periodic nanostructures, and the relationship of periodic spacing and brightness is based on the brightness of the nanostructure pixels having different periodic spacings.

In various embodiments, rapid, sensitive detection of molecular hydrogen is achieved by in a detector that divides sample gas into two flows by dividing the sample gas before dampening variation and converting hydrogen to water vapor at two different points. For example, a detector may receive sample gas that includes ambient water vapor and hydrogen, divide the sample gas into a chemical conversion flow and bypass flow, perform a first chemical conversion of hydrogen in the chemical conversion flow to water vapor, alternate between drying the converted chemical conversion flow or the bypass flow to produce a modulated flow, perform a second chemical conversion of hydrogen in the modulated flow to water vapor, measure water vapor in the converted modulated flow to produce a water vapor signal, separate the water vapor signal in the time domain to extract a hydrogen-derived water vapor signal, and output a hydrogen signal based thereon.

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 device may receive spectroscopic data associated with a dynamic process. The device may identify a pseudo steady state end point based on the spectroscopic data. The pseudo steady state end point may indicate an end of a pseudo steady state associated with the dynamic process. The device may identify a reference block and a test block based on the pseudo steady state end point, and 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 an averaged statistical detection signal based on the raw detection signal associated with the reference block and the raw detection signal associated with the test block, and may determine whether the dynamic process has reached a steady state based on the averaged statistical detection signal.