Because of the increase of the obesity related diseases, it is desirable to be able to detect a fatty liver and quantify the content in fat for the fatty liver. Known methods are biopsy and magnetic resonance imaging. However, biopsy is an invasive method and magnetic resonance imaging is a complicated method to carry out. The inventors propose a new ultrasonic method which is more compliant with a regular control of the content in fat for the fatty liver for a subject. This method notably relies on a smart exploitation of the coherence properties of ultrasound pulses applied to the liver. This method has already been validated on sane subjects as providing accurate measurements, notably for fat content.

A gas analyzer uses continuous sonic signals through a conduit to determine the composition of a gas in the conduit. A transmitting transducer drives sonic signals at a fixed frequency and a second transducer receives the sonic signals. The phase shift between two signals corresponds to the speed of sound through the gas and is related to the composition of the gas. The electronic versions of these signals are processed by lowering, or dividing, the fixed frequency which expands the range of phase shift measurement and allows the determination of an expanded range for the gas composition. In an ozone generation system, the gas analyzer is highly suitable for determining the composition of gases derived from air as a gas of known composition and a calibration point.

A vibration measurement sensor (3) adapted to measure the vibrations formed on a test object (O) with moving mechanical systems, at least one noise measurement sensor (4) adapted to measure sound intensity and/or particle velocity and/or sound pressure in at least one direction, i.e. on one axis, and a vibration and noise mapping system (1) that is adapted to control the vibration measurement sensor (3) and the noise measurement sensor (4), to provide the vibration and acoustic performance data of the test object (O) according to the data obtained from these units (3, 4) and to identify the areas on the test object (O) that are problematic or need to be studied further in order to improve vibration and acoustic performances thereof, and to control the operation of test objects (O) such as moving mechanical systems under different conditions.

A vibration measurement sensor (3) adapted to measure the vibrations formed on a test object (O) with moving mechanical systems, at least one noise measurement sensor (4) adapted to measure sound intensity and/or particle velocity and/or sound pressure in at least one direction, i.e. on one axis, and a vibration and noise mapping system (1) that is adapted to control the vibration measurement sensor (3) and the noise measurement sensor (4), to provide the vibration and acoustic performance data of the test object (O) according to the data obtained from these units (3, 4) and to identify the areas on the test object (O) that are problematic or need to be studied further in order to improve vibration and acoustic performances thereof, and to control the operation of test objects (O) such as moving mechanical systems under different conditions.

An ultrasonic bonding apparatus includes an ultrasonic bonding machine having an ultrasonic tool for applying an ultrasonic wave to a bonding target member mounted on a fixed object fixed to a jig, while pressing a bonding member against the bonding target member; and a bonding inspection apparatus for inspecting a bonding quality of the bonding target member and the bonding member. The bonding inspection apparatus includes: a bonded-state measuring device for detecting a vibration in the jig or a housing of the ultrasonic bonding machine equipped with the jig, to thereby output a detection signal; and a bonded-state determination device for determining, in a bonding process for the bonding target member and the bonding member, a bonded state between the bonding target member and the bonding member on the basis of the detection signal outputted by the bonded-state measuring device.

The present application describes a magneto-optical based guided waves system for inspection and monitoring of assets. The system has a magnetostrictive-based wave emitter for signal generation and a network of optical fiber sensors for detection, both mechanically coupled to the asset, a device with embedded software for hardware control and signal processing, and a framework capable of providing visual and analytic insights about the condition of the structure of interest. The enhancement of flaw detection, location and characterization abilities of the system are obtained through the use of high sensitivity and passive fiber optics sensors with very small size, distributed and multi-parameter sensing capabilities.

A sign detection device includes: a plurality of sensors disposed at a plurality of positions on a detection target object and configured to measure physical quantities at each position; a data acquisition unit for acquiring time-series fluctuation data of the physical quantities from the plurality of sensors; a calculation unit for calculating, from the time-series fluctuation data, a parameter indicating a correlation between the physical quantities at arbitrary two positions among the plurality of positions; and a detection unit for detecting a sign of sudden change in vibration of the detection object based on the parameter.

A sign detection device includes: a plurality of sensors disposed at a plurality of positions on a detection target object and configured to measure physical quantities at each position; a data acquisition unit for acquiring time-series fluctuation data of the physical quantities from the plurality of sensors; a calculation unit for calculating, from the time-series fluctuation data, a parameter indicating a correlation between the physical quantities at arbitrary two positions among the plurality of positions; and a detection unit for detecting a sign of sudden change in vibration of the detection object based on the parameter.

The subject disclosure presents systems and computer-implemented methods for calculating the diffusivity constant of a sample using acoustic time-of-flight (TOF) based information correlated with a diffusion model to reconstruct a sample's diffusivity coefficient. Operations disclosed herein such as acoustically determining the phase differential accumulated through passive fluid exchange (i.e. diffusion) based on the geometry of the tissue sample, modeling the impact of the diffusion on the TOF, and using a post-processing algorithm to correlate the results to determine the diffusivity constant, are enabled by monitoring the changes in the speed of sound caused by penetration of fixative such as formalin into several tissue samples. A tissue preparation system may be adapted to monitor said diffusion of a tissue sample and determine an optimal processing workflow.

The subject disclosure presents systems and computer-implemented methods for calculating the diffusivity constant of a sample using acoustic time-of-flight (TOF) based information correlated with a diffusion model to reconstruct a sample's diffusivity coefficient. Operations disclosed herein such as acoustically determining the phase differential accumulated through passive fluid exchange (i.e. diffusion) based on the geometry of the tissue sample, modeling the impact of the diffusion on the TOF, and using a post-processing algorithm to correlate the results to determine the diffusivity constant, are enabled by monitoring the changes in the speed of sound caused by penetration of fixative such as formalin into several tissue samples. A tissue preparation system may be adapted to monitor said diffusion of a tissue sample and determine an optimal processing workflow.