A device and method of using the device to detect the presence and composition of clots and other target objects in a circulatory vessel of a living subject is described. In particular, devices and methods of detecting the presence and composition of clots and other target objects in a circulatory vessel of a living subject using in vivo photoacoustic flow cytometry techniques is described.

Methods for determining ethylene concentration in an ethylene oligomerization reactor using an ultrasonic flow meter are described, and these methods are integrated into ethylene oligomerization processes and related oligomerization reactor systems.

A method for fixing a biological sample includes delivering energy through a biological sample that has been removed from a subject, while fixing the biological sample. A change in speed of the energy traveling through the biological sample is evaluated to monitor the progress of the fixation. A system for performing the method can include a transmitter that outputs the energy and a receiver configured to detect the transmitted energy. A computing device can evaluate the speed of the energy based on signals from the receiver.

A flexural-rigidity measuring apparatus includes an ultrasonic device including an oscillating unit that oscillates an ultrasonic wave toward a sheet and a receiving unit that receives the ultrasonic wave that has passed through the sheet, an electromagnetic induction device including an electromagnetic induction unit that generates electromagnetic induction with respect to a sheet, and a near-infrared spectroscopic device including a light-emitting unit that emits near-infrared light toward a sheet and a light-receiving unit that receives the near-infrared light that has passed through the sheet.

The disclosure relates to methods and apparatus for identifying rheological properties of liquids from acoustic signals generated by liquid flow through a pipe. Example embodiments include a method of identifying a rheological property of a liquid flowing in a pipe (101), the method comprising: detecting an acoustic signal generated by the liquid flowing in the pipe using a sensor (105) attached to a rod (104) extending from a wall of the pipe (101) into the liquid; sampling the acoustic signal to provide a sampled acoustic signal; transforming the sampled acoustic signal to generate a sampled frequency spectrum; correlating the sampled frequency spectrum with a stored frequency spectrum from a database of stored frequency spectra of liquids having predetermined rheological properties; and identifying a rheological property of the liquid based on the stored frequency spectrum.

Method for determining the geometry of one or more real, examined defects of a metallic, in particular magnetizable object, in particular a pipe or a tank, by means of at least two reference data sets of the object generated on the basis of different, non-destructive measurement methods,

wherein the object is at least partially represented on or by an at least two-dimensional, preferably three-dimensional, object grid, in an EDP unit,
wherein an output defect geometry, in particular on the object grid or an at least two-dimensional defect grid, is generated by inversion of at least parts of the reference data sets, in particular by at least one neural network (NN) trained for this object, a respective prediction data set for the non-destructive measurement methods used in the generation of the reference data sets is calculated on the basis of the output defect geometry by a simulation routine, a comparison of at least parts of the prediction data sets with at least parts of the reference data sets is carried out and, depending on at least one accuracy measure, the method for determining the geometry of the defect is terminated or an iterative adjustment of the output defect geometry to the geometry of the real defect(s) is carried out, as well as methods for determining a load limit (FIG. 1).

To provide an anomalous sound detection training technique by which a feature amount extraction function for detecting anomalous sound can be generated irrespective of whether training data for anomalous signals is available or not. An anomalous sound detection training apparatus includes: a first function updating unit 3 that updates a feature amount extraction function and an feature amount inverse transformation function, which are input, based on an optimization index of a variational autoencoder; an acoustic feature extraction unit 4 that extracts an acoustic feature of normal sound based on training data for normal sound; a normal sound model updating unit 5 that updates a normal sound model by using the acoustic feature that is extracted; a threshold updating unit 6 that obtains a threshold φ.sub.ρ corresponding to a false positive rate ρ, which has a predetermined value, by using the training data for normal sound and the feature amount extraction function that is input; and a second function updating unit 8 that updates the feature amount extraction function that is updated, based on a Neyman-Pearson-type optimization index defined by the threshold φ.sub.ρ that is obtained, and repeatedly performs processing of each of the above-mentioned units.

Examples of non-invasive inspection of a mechanical system are described. In an example implementation, a first operational data from a detector mounted on an item being handled by a mechanical system is retrieved. The detector may include one or more sensors, and the first operational data is indicative of a current operational condition of the mechanical system. The first operational data can be compared with a corresponding historical first operational data and an error in the current operational condition of the mechanical system is determined based on the comparison. In response to the identification of the error, a notification is generated to perform a non-invasive inspection of the mechanical system.

A method of evaluating quality of a wind turbine blade which has a hollow structure where an interior space of the wind turbine blade is surrounded by an outer skin which includes a laminated body includes: setting a scanning line on at least a part of an inner wall surface or an outer wall surface of the outer skin; and moving an ultrasound probe along the scanning line; generating a cross-sectional image corresponding to the scanning line, on the basis of a position of the ultrasound probe or a reflection echo to detect an indication whose echo level is greater than a first threshold; obtaining an inclination of the indication with respect to a reference line as a first parameter; and evaluating the lifetime or the breakage risk of the wind turbine blade on the basis of the first parameter.

Methods for determining ethylene concentration in an ethylene oligomerization reactor using an ultrasonic flow meter are described, and these methods are integrated into ethylene oligomerization processes and related oligomerization reactor systems.