Systems and methods for inversion of signal measurements for medical imaging are provided. In one example implementation, a method can include accessing a plurality of signal measurements. The method can include accessing a convolution model defining a relationship between signal measurements and property of the specimen. The method can include determining a property distribution for the specimen by performing an inversion based at least in part on the convolution model and signal measurements. The inversion can based at least in part on a penalized objective function. The penalized objective function having a penalty term. The penalty term for individual solution components can be independently weighted. The method can include generating a property map of the specimen based at least in part on the property distribution; and outputting the property map as an image on a display device.

The present disclosure relates to systems and methods for measuring oil/water content in oil-water mixtures, regardless of the salinity of the mixture. The oil content is measured using a dielectric sensor. It is determined whether the oil content is above or below a threshold. If the oil content is above the threshold, the oil content is reported using the measurement from the dielectric sensor. If the oil content is below the threshold, the oil content is reported using the measurement from the eddy current sensor.

The present disclosure relates to systems and methods for measuring oil/water content in oil-water mixtures, regardless of the salinity of the mixture. The oil content is measured using a dielectric sensor. It is determined whether the oil content is above or below a threshold. If the oil content is above the threshold, the oil content is reported using the measurement from the dielectric sensor. If the oil content is below the threshold, the oil content is reported using the measurement from the eddy current sensor.

A Barkhausen noise sensing device for inspecting an object made of ferromagnetic material, having a transceiver coil configured for generating an excitation magnetic field within the object and detecting a Barkhausen noise emitted by the object and a powering unit connected to the transceiver coil and connectable to a power source. The powering unit is configured for providing the transceiver coil with an Alternating Current (AC) electrical signal. Also provided is a detection unit connected to the transceiver coil for detecting an induced magnetic field emitted by the object and being indicative of the Barkhausen noise. The detection unit is configured for outputting a detection signal indicative of the detected induced magnetic field.

The present disclosure relates to systems and methods for measuring oil/water content in oil-water mixtures, regardless of the salinity of the mixture. The oil content is measured using a dielectric sensor. It is determined whether the oil content is above or below a threshold. If the oil content is above the threshold, the oil content is reported using the measurement from the dielectric sensor. If the oil content is below the threshold, the oil content is reported using the measurement from the eddy current sensor.

A metal detection apparatus (9) is tested with a test device (7) having at least one test article (79), movable through a detection zone (60). The test article is moved through the detection zone along a first transfer axis (ca) and a first input signal is measured. A first threshold (th1) is determined, where an amplitude of the first input signal exceeds the first threshold (th1). Then, an identical test article is moved through the detection zone along a further transfer axis (ta; . . . ) and a further input signal is measured and a further threshold (th2; . . . ) is determined, where an amplitude of the further input signal exceeds the further threshold (th2; . . . ). The first or further threshold (th1; th2; . . . ) is selected in the signal processing path (4) whenever the test article is moved along the related transfer axis (ca; ta; . . . ).

The present disclosure includes a process automation technology sensor for detecting at least one measured variable of a medium, the sensor including a process connection for attaching the sensor to a container in which the medium is located; at least two webs which run essentially parallel to a longitudinal axis of the sensor, where the webs are arranged on the medium side extending from the process connection; and at least one first housing portion that comprises a temperature sensor, where the first housing portion is arranged between the webs.

A sensor for monitoring the quality of oil in mechanical machinery is provided. The sensor includes a portion that is sealed from the oil which contains electric circuitry to process signals received from the sensing elements. Another portion of the sensor is exposed to the oil and contains one or more sensing elements to sense one or more properties of the oil. The sensed properties may include electrical properties, temperature properties and/or optical properties.

A method, system and apparatus for sensing fluids. A fluid sensor is configured to analyze a fluid utilizing impedance spectroscopy. Capacitive impedance of fluids is sensed and measured. Inductive impedance of suspended particles in fluids is measured. An electrochemical fingerprint of the properties of the fluid or of the particles within the fluid is generated. Fluid analytics data is generated from sensor signal data of the fluids under test. Trainable artificial intelligence algorithms are used to generate fluid analytics data.

An MRI-free non-destructive on-line system for detecting a presence of a material in a sample. The system includes a flow conduit encompassed by a tunable RF coil and having an input duct and an output duct; a flow of the sample through the flow conduit; a signal detector that detects frequency-dependent output signals as a function of a frequency variation of the RF tunable coil within a frequency range of an RF resonant frequency of a standard sample of the substance; and a processing unit.