A submersible system and method for measuring the gas volume fraction in an aerated fluid inside a reactor (1) wherein the aerated fluid comprises a gas dispersed in the form of bubbles in a fluid in the form of a solution, suspension, mixture of liquids or a combination thereof. The submersible system comprises: an open and pass-through gas exclusion device (20) of a variable cross section wherein the inlet opening whereby the fluid enters without gas bubbles towards the opened and through gas bubbles exclusion device (20) is greater than the outlet opening whereby the fluid exits without gas bubbles of the opened and through gas bubble exclusion device (20). The outlet opening abuts with an inlet pipe (23). A chamber (24) which can provide a sealed camera, can contain at least one flow meter to measure the gas-free fluid velocity when circulating between an inlet (27) and an outlet (28) of the chamber (24) or sealed camera The inlet (27) of the chamber (24) or sealed camera can be coupled to the inlet pipe (23). The outlet (28) of the chamber (24) or sealed camera can be coupled to an outlet pipe (26) of the liquid dispersion towards the reactor (1). A flow transmitter (29) connected to the flow meter, located inside or outside said chamber (24) or sealed camera, generates an outlet signal proportional to the bubbles-free fluid velocity through a gas bubble exclusion device and a calculation unit (30) which generates an output signal (31) proportional to the gas volume fraction in the aerated fluid.

The present invention provides a sensor having excellent sensitivity and selectivity with respect to a ketone-based compound. This sensor according to the present invention has a receiving layer including a polymer having a repeating unit represented by Formula (1), and detects a ketone-based compound.

##STR00001##

An object of the present invention is to provide a resonant sensor having excellent sensitivity and selectivity with respect to a component to be detected that is contained at a low concentration in the system. A resonant sensor of the present invention has a receiving layer that contains a polymer having a repeating unit represented by Formula (1). In Formula, R.sup.1 represents an alkyl group. A plurality of R.sup.1's may be the same as or different from each other. R.sup.2 represents a hydrogen atom, an alkyl group, or an aryl group.

##STR00001##

Disclosed are methods and systems for measuring concentration of known components in gas samples using an acoustic resonance technique. A system includes a resonant chamber, a sound generator positioned at and acoustically coupled to an opening of the resonant chamber, and an audio sensor positioned proximate to and in sound communication to the opening and configured to measure an acoustic spectrum. During operation, the sound generator produces a white noise such that the soundwaves of the white noise passes through a gas sample positioned in the resonant chamber. As the soundwaves pass through the gas sample, the audio sensor monitors the frequency spectrum and identifies any resonant frequency that, if present, would correspond to a specific component and the concentration of this component. Specifically, the component concentration is determined from the frequency response.

Disclosed are methods and systems for measuring concentration of known components in gas samples using an acoustic resonance technique. A system includes a resonant chamber, a sound generator positioned at and acoustically coupled to an opening of the resonant chamber, and an audio sensor positioned proximate to and in sound communication to the opening and configured to measure an acoustic spectrum. During operation, the sound generator produces a white noise such that the soundwaves of the white noise passes through a gas sample positioned in the resonant chamber. As the soundwaves pass through the gas sample, the audio sensor monitors the frequency spectrum and identifies any resonant frequency that, if present, would correspond to a specific component and the concentration of this component. Specifically, the component concentration is determined from the frequency response.

The present invention provides a method and a device for estimating a value to be estimated associated with a specimen, by performing machine learning of a relationship between a value of an estimation object and an output corresponding thereto, based on an output from a chemical sensor with regard to a plurality of specimens for which specific values to be estimated are known, and using the result of the mechanical learning to estimate a specific value to be estimated on the basis of an output from the chemical sensor with regard to a given unknown specimen.

A respiratory flow therapy apparatus including a sensor module can measure a flow rate of gases or gases concentration provided to a patient. The sensor module can be located after a blower and/or mixer. The sensor module can include at least an ultrasonic transmitter, a receiver, a temperature sensor, a pressure sensor, a humidity sensor and/or a flow rate sensor. The receivers can be immersed in the gases flow path. The receivers can cancel delays in the transmitters and improve accuracy of measurements of characteristics of the gases flow. The receivers can allow for detection of a fault condition in a blower motor of the apparatus.

Methods and systems for determining concentrations of gases within a process chamber are provided. In one or more embodiments, a method includes introducing a first gas into a first cavity of a gas monitoring module, where the first cavity is thermally coupled to a second cavity of the gas monitoring module, and where the first cavity contains a first inlet and the first gas is introduced via the first inlet. The method includes introducing a gas mixture containing the first gas and a second gas into a second cavity, where the second cavity contains a second inlet and the gas mixture is introduced via the second inlet. The method also includes determining a first speed of sound inside the first cavity, determining a second speed of sound inside the second cavity, and determining a concentration of the second gas in the second cavity based on the first and second speeds of sound.

A method is disclosed for detecting atmospheric turbulence including aircraft induced wake turbulence and/or wind shear within an aperture associated with an aircraft approach or departure corridor around an airport. The method comprises transmitting into the aperture acoustic signals having a waveform suitable for pulse compression and receiving backscattered acoustic echoes of the acoustic signals from the atmospheric turbulence and/or wind shear. The method further includes processing the acoustic echoes in a matched filter receiver to provide a measure of the atmospheric turbulence and discriminating the aircraft induced demise time, being a time taken for the aircraft induced wake turbulence and/or wind shear to fall below a set threshold at least in the aperture. A system for detecting atmospheric turbulence including aircraft induced wake turbulence and/or wind shear associated with an aircraft approach or departure corridor around an airport is also disclosed.

A method for identification of chemicals in a sample using a gas chromatograph and a surface acoustic wave (SAW) sensor coupled with the gas chromatograph to define a gas chromatography (GC)/SAW system. The method includes receiving a temperature profile defining a varying target temperature as a function of time, separating one or more eluted components from a sample with the gas chromatograph, adjusting a temperature of the SAW sensor in accordance with the temperature profile as the one or more eluted components are separated from the sample by the gas chromatograph, generating SAW frequency response data with the SAW sensor, the SAW frequency response data including one or more peaks corresponding respectively to the one or more eluted components separated from the sample, and identifying a set of one or more candidate chemicals for an eluted component of interest based on a corresponding peak of the SAW frequency response data.