A system for monitoring an acoustic scene outside a vehicle; the system including: a vehicle with wheels and a trunk, an acoustic sensor disposed in the trunk, a control unit operatively connected to the acoustic sensor, and at least one neural network operatively connected to the control unit, and trained in such a way to correlate the characteristics of an audio signal with types of road surfaces; the control unit is configured in such a way to receive an audio signal detected by the acoustic sensor while the vehicle is traveling, extract the characteristics of the audio signal and input said characteristics of the audio signal to the neural network in order to identify the type of road surface covered by the vehicle wheels.

A compatibility prediction method includes predicting compatibility between a prediction target food and a prediction target drink using: a model for predicting the compatibility between the prediction target food and the prediction target drink, and measurements that are values related to predetermined information obtained when a measuring instrument measures aroma components of the prediction target food and the prediction target drink or calculations calculated based on the measurements.

A system for non-destructive testing of a bond condition of concrete beams reinforced by steel rods is described. The system includes a transducing transmitter, a transducing receiver, and an ultrasonic pulse generator configured to generate drive signals for the transducing transmitter and receive a plurality vibrational waves at the transducing receiver. The system further includes a computing device including a measurement circuit configured to record a transit time for each vibrational wave and divide a distance between the transducing transmitter and the transducing receiver by the transit time to determine a pulse velocity of each vibrational wave, a comparison circuit configured to identify a highest pulse velocity of the vibrational waves and compare each highest pulse velocity to a first reference pulse velocity, and a decision circuit including an artificial neural network configured to identify a compromised bond condition around a steel rod.

The invention provides devices and methods for optimized cellular measurements. The method comprises introducing cellular and/or non-cellular material into a measurement device, collecting data from the cellular and/or non-cellular material, providing the data to a classifier that utilizes the data to identify cellular and/or non-cellular material, and using the identification by the classifier to optimize cellular measurements made by the measurement device.

There is provided a method for determining material properties in an active acoustic spectroscopy system, the method comprising: acquiring a multidimensional acoustic spectrum from a material in a container using acoustic spectroscopy; reducing the dimensionality of the acoustic spectrum using a mathematical dimensionality reduction method, thereby forming a reduced acoustic spectrum describing a material state; and determining if the material state belongs to a predetermined material state cluster. There is also provided a system for performing the described method.

A photoacoustic measurement setup having an infrared radiator that is suitable for radiating broadband light with periodically modulated energy/intensity. The infrared radiator is configured to change an excitation spectra of a radiated broadband light, and a gas volume is heated by the radiated broadband light to generate an acoustic wave within the gas volume. The photoacoustic measurement setup also includes an acoustic sensor, which is suitable for measuring the acoustic wave generated in the gas volume.

A resonance detection system includes a vibration simulation mechanism and a vibration audio analysis device. The vibration simulation mechanism includes a mechanism body that accommodates a peripheral interface device, such as a notebook computer key input mechanical structure. The vibration simulation mechanism generates a vibration wave to the peripheral interface device generates a vibration audio signal in response to the vibration wave. The vibration simulation mechanism further includes a patch-type audio collector, such as a miniature auscultation radio patch, which is connected with the vibration audio analysis device. The patch-type audio collector is attached on the mechanism body containing the peripheral interface device. The vibration audio signal is collected by the patch-type audio collector. The vibration audio analysis device judges whether there is an abnormal resonance phenomenon in the vibration auto signal, which may be used for fabrication quality control of peripheral interface devices.

This disclosure relates to the monitoring and detection of corrosion and/or erosion of pipes, vessels, and other components in an industrial facility. The monitoring system may comprise of an arrangement of guided wave (GW) transducers and a longitudinal wave (LW) transducer affixed to the piping component to collectively measure for localized corrosion of the piping component without necessarily requiring a thickness map. The monitoring system may use an intelligent amplified multiplexer/switch to control the operation of the transducers that may be controlled and operated to generate waves in the kilohertz range and megahertz range with the same hardware.

A fiber optic distributed acoustic sensing (DAS) system for detecting a red palm weevil (RPW) includes an optical fiber configured to be wrapped around a tree and a DAS box connected to the optical fiber. The DAS box includes a processing unit that is configured to receive a filtered Rayleigh signal reflected by the optical fiber, and run the filtered Rayleigh signal through a neural network system to determine a presence of the RPW in the tree.

An identification device according to an embodiment includes: a sensor that measures a grasping state of a grasped object as an identification target; a position information acquisition unit that acquires position information of a sensor wearer who is wearing the sensor; and an identification unit that identifies the grasped object that is grasped by the sensor wearer based on the grasping state measured by the sensor and the position information acquired by the position information acquisition unit.