Abstract: A calibration method includes positioning the coating unit in a first measuring position and detecting a first position reference value with respect to the reference point and a first measuring point associated with the coating unit at the first measuring position, positioning the coating unit in a second measuring position by moving the coating unit in the direction of movement and detecting a second position reference value with respect to the reference point and a second measuring point associated with the coating unit at the second measuring position, and determining a correction value for the first application element and/or the second application element from the detected first position reference value and the detected second position reference value.

Abstract: Pipe]parameter determinations from electromagnetic logs can be improved, in accordance with various embodiments, by weighting signals with frequencies below a threshold associated with resolution degradation lower than signals with frequencies above the threshold. The threshold frequency may be determined based on a spatial resolution associated with the logging tool and a logging speed. Further embodiments are described.

Abstract: A method includes obtaining a dielectric measurement of a portion of a downhole formation. The method also includes processing the dielectric measurement via a trained machine learning system. The method further includes determining at least one of a classification or a textural parameter simultaneously with formation water saturation of the downhole formation, via the machine learning system, based at least in part on the dielectric measurement. The machine learning system is based on a pre-determined dataset from previous measurements or simulated results of synthetic cases. The method determining the correlation between water saturation and formation texture through a frequency cascading training process based on sensitivity of complex dielectric spectrum with respect to desired parameters including water saturation and texture parameter. The method also includes assigning at least one of the classification or the textural parameter to the downhole formation.

Abstract: Magnetic field measurement by a set of magnetometers which are linked to a same moveable support and which have different orientations of eigendirections with respect to this support A processor determines, during a measurement in a given position and orientation of the support and of the set of magnetometers, for each magnetometer, of the orientation deviation between the eigendirections of the magnetometer and a candidate magnetic field, the magnetometer for which this deviation is minimal, the magnetic field measured by this sensor being selected as the magnetic field measured by the set of magnetometers. The magnetometers are distributed in space in order to cover a maximum of different orientations.

Abstract: A system for measuring water flows in a sub-network of a water distribution network is provided. The system includes a plurality of sensors, for example pressure sensors, on the network. The system further comprises communication links between the sensor and one a computing device, and a measurement acquisition system. The computing device is configured to retrieve values of measurements, directly or through the measurement acquisition system; use values of measurements to determine values of control variables of a model of the water distribution network which minimize residue values between measurements values and predicted physical values on the network; then use the model parameter with the values of control variables to calculate water flows at the boundaries of the sub-network.

Abstract: Systems and methods are provided for determining a formation body wave slowness from an acoustic wave. Waveform data is determined by logging tool measuring the acoustic wave. Wave features are determined from the waveform data and a model is applied to the wave features to determine data-driven scale factors The data-driven scale factors can be used to determine a body wave slowness within a surrounding borehole environment and the body wave slowness can be used to determine formation characteristics of the borehole environment.

Abstract: Systems and methods are provided for classifying a microbiome at a geographic site where agricultural activity is, or will be, conducted in order to improve and/or promote agricultural productivity at the site. Machine learning and/or artificial intelligence classifier tools use DNA sequencing input data and environmental information to generate recommendations for customized soil and/or crop treatment compositions, irrigation practices, and/or other agricultural activity, to enhance plant health and crop productivity.

Abstract: A geological core inspection system that includes a table to support core samples for inspection, a robotic geological core inspection system including a core sample sensing system to acquire sample inspection data (including an imaging sensor and a core sample position sensor), a core sample interaction system (including a dispensing system and a scoring system), and a robotic positioning system, and a control and communications system to provide for remote control of the core sample sensing system. The system further including a remote geological core inspection system to receive and communicate remote commands specifying requested operations of the robotic geological core inspection system (the control and communications system adapted to control operation of the core sample sensing system in response to the remote commands to perform the requested operations) and receive and present core data.

Abstract: Methods and apparatus for examining a material are provided. One example method generally includes disposing the material in a dielectric contrast analysis structure, wherein the dielectric contrast analysis structure comprises a bulk dielectric substance and a plurality of receptacles in the bulk dielectric substance, wherein the material is disposed in one or more of the plurality of receptacles; exposing the dielectric contrast analysis structure to incident electromagnetic radiation; detecting resultant radiation from the exposed dielectric contrast analysis structure; and analyzing the detected resultant radiation to estimate at least one of a phase fraction and a phase distribution in the material.

Abstract: Recorded seismic data includes seismic traces having respective source orientation angles, where the source orientation angles represent deviations in seismic source orientation relative to an inline survey direction. A plurality of designature operators corresponding to respective designature orientation angles within a defined set of designature orientation angles may be generated. For a given member of the defined set of designature orientation angles, a corresponding designature operator may be applied to the recorded seismic data to generate designatured seismic data for the given designature orientation angle. For a given seismic trace having a given source orientation angle, the designatured seismic data may be interpolated to generate a designatured version of the given seismic trace. The results may be stored in a tangible, computer-readable medium.

Abstract: A position detection device includes two detection systems that are respectively fed from power supply systems different from each other, and displace together with a shift lever. Each detection system can output detection patterns with four digits. A detection pattern when being located at a given position is different from a detection pattern when being located at another position. In any detection pattern, outputs of certain two digits among the four digits are set so as to be identical to each other, and to be different from outputs of two other digits. Alternatively, outputs of certain three digits among the four digits are set to be identical to each other, and to be different from an output of another digit.

Abstract: The disclosure presents processes to generate look ahead data to guide borehole operations, such as drilling operations. The processes can array collected resistivity data around a representation of an active borehole. The array can be in various patterns, such as an interleaved helix pattern. Each slice of data from the collected resistivity data can be positioned and oriented corresponding to the central point depth parameter for each slice of data. A selection of one or more card views can be enabled to display details of the collected resistivity data corresponding to the selected slice of data. An analysis of the resistivity data can generate an identification of a boundary, such as an object or a subterranean formation change, in the subterranean formation look ahead portion of the active borehole. The boundary identification can be used as inputs to a borehole operation plan or to a geo-steering system.

Abstract: Classifying land use by receiving geographic data and land use data for a geographic area, receiving surface temperature data for the geographic area, mapping the geographic data and temperature data to a set of map grid cells, determining temperature statistics for each map grid cell, training a machine learning model according to the land use data and temperature statistics, and classifying land use for map grid cells of a different geographic area according to the machine learning model.

Abstract: An approach for collecting disparate data within a pipe involves a sensor arrangement configured to be deployed within the pipe. The sensor arrangement includes a plurality of sensors configured to detect disparate data related to the pipe. Each sensor of the plurality of sensors is coupled to a respective collection computer on the sensor arrangement. A synchronization module is configured to synchronize the disparate data. A database is configured to store the synchronized data. A processor is configured to process the synchronized data. A user interface configured to present the synchronized data to a user.

Abstract: Disclosed is a method for determining of fat content of milk having variable solids fractions and flowing with variable gas content in a pipeline. The method includes ascertaining a velocity of sound and an average density value for the milk based on eigenfrequencies of at least two bending oscillation wanted modes of measuring tubes of a densimeter arranged in the pipeline. The method further includes ascertaining a static pressure in the pipeline; a gas volume fraction based on the velocity of sound; the average density; the pressure; a density of the milk without gas content based on the average density and the gas volume fraction; and a permittivity of the milk based on a propagation velocity and/or an absorption of microwaves in the milk. The fat fraction is calculated based on the density of the milk without gas content and on the effective permittivity.

Abstract: An intelligent storage device and an intelligent storage method are provided. The intelligent storage device includes a storage space, an infrared sensor, a weight sensor, a transceiver, and a processor. The storage space is suitable for storing an object. The infrared sensor senses the storage space to generate infrared sensing data. The weight sensor senses the object in the storage space to generate weight sensing data. The processor is coupled to the infrared sensor, the weight sensor, and the transceiver, determines whether the object is placed in or removed from the storage space according to the infrared sensing data and the weight sensing data to generate an event record, and transmits the event record via the transceiver.

Abstract: Disclosed is an ocean bottom electromagnetic acquisition station communication apparatus and method. The ocean bottom electromagnetic acquisition station communication apparatus includes: ocean bottom electromagnetic acquisition stations (1) for acquiring ocean bottom electromagnetic information; a control terminal (2) for sending control signals; and a relay timing module (3) connected to the ocean bottom electromagnetic acquisition stations (1) and the control terminal (2) and used for processing the ocean bottom electromagnetic acquisition stations (1) on the basis of the control signals before placement.

Abstract: A wear amount estimation device estimates plural kinds of wear energy depending on each of an internal pressure of aircraft tires, a load acting on the aircraft tires, a velocity of an aircraft, a slip angle caused in the aircraft tires, and a braking force of the aircraft, in accordance with each of these elements and wear energy EFR of the aircraft tires in a state of a free rolling run The wear amount estimation device estimates the wear amount wear of the aircraft tires in accordance with each of the calculated wear energy and a wear resistance R indicating a relationship between predetermined wear energy and a predetermined wear amount.

Abstract: A method of defect discovery can include providing a nuisance bin in a nuisance filter, partitioning the defect population into a defect population partition, segmenting the defect population partition into a defect population segment, selecting from the defect population segment a selected set of defects, computing one or more statistics of the signal attributes of the defects in the defect population segment, replicating the selected set of defects to yield generated defects, shifting the generated defects outside of the defect population segment, creating a training set, and training a binary classifier. This method can be operated on a system. The method can enable a semiconductor manufacturer to determine more accurately the presence of defects that would otherwise have gone unnoticed.

Abstract: A magnetic compensation method based on an aeromagnetic compensation error model includes: acquiring an upper limit of an error of a magnetic noise caused by both an environmental background field in an exploration area and an aeromagnetic flight platform, by using the aeromagnetic compensation error model, before an actual flight; determining, according to the upper limit, whether the environmental background field and the aeromagnetic flight platform are suitable for the actual flight, and if so, performing a calibration flight to acquire a compensation coefficient; and acquiring data of an attitude term by performing the actual flight, calculating an interference magnetic field by the data of the attitude term and the compensation coefficient, and performing magnetic compensation.