An ultrasonic touch sensing system that uses both compressional and shear waves for touch and water detection is disclosed. When no touch or water is present, less shear and compressional wave energy is absorbed, so both shear and compressional wave reflections do not have significant amplitude decreases. When a finger is in contact with the sensing plate, both shear and compressional wave energy is absorbed, so both shear and compressional wave reflections have significant amplitude decreases. When water is in contact with the sensing plate, compressional energy is absorbed but little or no shear wave energy is absorbed, so while compressional wave reflections have significant amplitude decreases, shear wave reflections do not. From these amplitudes, a determination can be made as to whether no touch is present on the sensing plate, whether a touch is present on the sensing plate, or whether water is present on the sensing plate.

A prediction portion predicts states including a water level of the wave at a prediction subject location. In a case in which inputs of the flow velocity in a line-of-sight direction of the wave at each observation location have been received, an estimation portion estimates states of waves including the water level thereof at the prediction subject location. The estimation of the states is based on a difference between the flow velocity in a line-of-sight direction of the wave at each input observation location, and the flow velocity in a line-of-sight direction of the wave at each input observation location obtained by converting states of the wave using an observation matrix. A determination portion causes the predictions of the states and the estimation of the states to be repeated until predetermined conditions have been satisfied.

A method of identifying inflow locations along a wellbore comprises obtaining an acoustic signal from a sensor within the wellbore, determining a plurality of frequency domain features from the acoustic signal, and identifying, using a plurality of fluid flow models, a presence of at least one of a gas phase inflow, an aqueous phase inflow, or a hydrocarbon liquid phase inflow at one or more fluid flow locations. The acoustic signal comprises acoustic samples across a portion of a depth of the wellbore, and the plurality of frequency domain features are obtained across a plurality of depth intervals within the portion of the depth of the wellbore. Each fluid flow model of the plurality of fluid inflow models uses one or more frequency domain features of the plurality of the frequency domain features, and at least two of the plurality of fluid flow models are different.

A method of detecting an event within a wellbore includes obtaining a sample data set, determining a plurality of frequency domain features of the sample data set, comparing the plurality of frequency domain features with an event signature, determining that the plurality of frequency domain features matches the thresholds, ranges, or both of the event signature, and determining the presence of the event within the wellbore based on determining that the plurality of frequency domain features match the thresholds, ranges, or both of the event signature. The sample data set is a sample of an acoustic signal originating within a wellbore including a fluid. The sample data set is representative of the acoustic signal across a frequency spectrum. The event signature includes a plurality of thresholds, ranges, or both corresponding to the plurality of frequency domain features.

For a specified stratigraphic interval, well data is received for a plurality of wells. An average grain size for each of the plurality of wells is determined based on the received data. A location or multiple locations of a grain source is determined based on the average grain sizes for the stratigraphic interval.

For a specified stratigraphic interval, well data is received for a plurality of wells. An average grain size for each of the plurality of wells is determined based on the received data. A location or multiple locations of a grain source is determined based on the average grain sizes for the stratigraphic interval.

A device can receive sensor data from a plurality of sensor devices. The sensor data can include information relating to vibrations detected by the plurality of sensor devices. The device can determine, based on the information relating to vibrations, whether the vibrations are likely to be associated with one or more primary waves of a seismic event. The device can predict, based on determining that the vibrations are likely to be associated with the one or more primary waves, a geographic area that is likely to be impacted by one or more secondary waves of the seismic event. The device can transmit, based on predicting the geographic area, and to one or more of a plurality of user equipments, one or more of a notification providing information relating to the seismic event or instructions to perform one or more actions.

A system and method for determining the presence of a hidden hazard may include identification of an operational scene for a host vehicle, and identification of an operational situation for the host vehicle. Information from a plurality of proximity sensors is collected and classified. A plurality of hidden hazard presence probabilities corresponding to the information from each of the plurality of proximity sensors, the operational scene, the operational situation, and at least one of a comparative process and a dynamic neural network process are estimated. A fusion process may be performed upon the plurality of hidden hazard presence probabilities to determine the presence of a hidden hazard.

An identification device according to one embodiment includes a vibration generation unit that generates, by a vibration generator, first vibrations to be provided to a three-dimensional object to be identified having an integrated structure; an acquisition unit that acquires, from a vibration detector, a detection signal corresponding to a second vibration that has propagated inside the three-dimensional object among the first vibrations provided to the three-dimensional object; a feature quantity generation unit that generates a feature quantity indicating a frequency characteristic of the second vibration, based on the acquired detection signal; and an identification unit that identifies the three-dimensional object to be identified, based on a feature quantity stored in a storage device in which the feature quantity indicating a frequency characteristic based on a vibration that has propagated inside a previously identified three-dimensional object is stored and on the feature quantity generated by the feature quantity generation unit.

A method detects seismic events, in particular detects foreshocks for earthquake prediction. The events are detected by a plurality of sensors, wherein at least a part of a water pipe network on which the sensors are arranged is used for detection. An ultrasonic water meter to be connected to a water pipe network and an ultrasonic water meter system connected to a water pipe network are provided to detect seismic events.