Abstract: A measurement transmitter for a multisensor system for process automation technology, wherein the measurement transmitter, for processing in- and output signals, has a processor, which is connected with an interface, to which a sensor is connected for transmission of data via a transmission line. In communication between the processor and the interface, or the sensor and the interface, different transmission rates of data occur. In order to be able to connect to the measurement transmitter a plurality of sensors working with different principles of operation, and, in spite of the plurality of sensors, largely avoid errors in the data transmission, at least two sensors are present, wherein a function module is present in the interface for each sensor and the function module for each sensor is connected with such sensor via a dedicated transmission line.

Abstract: A method is provided for the optimization of the process decoding coded ultrasound signals that comprises: defining/selecting a coding function for ultrasound pulses transmitted to a body under examination by means of a predetermined probe; defining the coefficients of a filter decoding the received signal depending on the selected coding function; using said filter coefficients as the setting of the decoding filter corresponding to said predetermined probe for all the ultrasound systems provided in combination with said probe; and wherein the coefficients of the decoding filters are determined by the minimization, by a heuristic iterative process, of the difference between the characteristics of a receive signal, obtained in a real transmit/receive sequence and filtered with a decoding filter, and the characteristics of an ideal receive signal, that is a nominal one, by using as the coefficients of the decoding filter those obtained in the last iterative step.

Abstract: According to an embodiment, a client includes a street information collection unit for collecting street information near an arrangement place, a provision determination unit for determining whether the street information collected by the street information collection unit is information required to be provided to the server, and a first transmission unit for transmitting the street information, which is determined to be required to be provided by determination of the provision determination unit, to the server, with client identification information for identifying the client.

Abstract: A system is provided for determining whether a specific water appliance is malfunctioning. The system may comprise at least one processor configured to detect, from at least one sensor in a distributed water infrastructure upstream of the plurality of water appliances, a plurality of normal water usage profiles; associate at least one of the plurality of profiles with each of the plurality of appliances; detect at least one current water usage profile; and compare the at least one current profile with at least one of the stored profiles to determine a corresponding identity of an associated appliance and to determine if a deviation exists between the stored profile for the identified appliance and the at least one current profile. The deviation may be reflective of a potential malfunction in the associated appliance. The system may initiate remedial action if the deviation, reflective of a potential malfunction, is determined.

Abstract: Systems, methods, and apparatuses for data collection in a mining environment are disclosed.

Abstract: A microwave-based measuring device includes a number n of sensors, each sensor of the number n of sensors being embodied to generate associated sensor data such that, overall, a number n of items of sensor data are generated by way of the number n of sensors. A measurement variable calculation unit is embodied to calculate a number m of measurement variable values depending on the number n of items of sensor data on the basis of values of a number d of parameters. A learning unit is embodied to calculate the values of the number d of parameters on the basis of training data.

Abstract: In some embodiments, a computing system computes, with a state prediction model, probabilities of transitioning from a click state represented by interaction data to various predicted next states. The computing system computes an interface experience metric for the click with an experience valuation model. To do so, the computing system identifies base values for the click state and the predicted next states. The computing system computes value differentials for between the click state's base value and each predicted next state's base value. Value differentials indicate qualities of interface experience. The computing system determines the interface experience metric from a summation that includes the current click state's base value and the value differentials weighted with the predicted next states' probabilities.

Abstract: Systems and methods for forecasting renewable energy generation using holistic weather and system analysis are provided. Derate factors of energy sources can be considered, along with regional weather variability, site specific weather, and a cross-view of the sky from ground based and/or geo-stationary satellite imaging. The forecast can include short-term forecasting and long-term forecasting.

Abstract: A device of analyzing at least one transistor includes a tester circuit, a measure device and a processor. The tester circuit is electrically connected to the transistor, the measure device is electrically connected to the transistor, and the processor is electrically connected to the measure device. The tester circuit is configured to test the transistor. The measure device is configured to receive a waveform from the transistor. The processor is configured to perform a curve-fitting on the waveform to get a transistor characteristic curve, to model the transistor characteristic curve to generate a transistor model, to simulate and regulate one or more parameters of the transistor model to create a new transistor model, and to extract slew rate data from the new transistor model.

Abstract: A cloud-based system for monitoring food storage/processing comprising at least one fixed sensor to collect fixed location environment data; at least one handheld sensor to collect mobile location environment data; and a remote monitoring and reporting system to collect the fixed and remote location environment data and to audit the collected data. A portable device comprises a processor configured to: receive the mobile location environment data; and transmit an auditable version of the received mobile location environment data to the remote system. A hub device comprising a processor configured to: receive the fixed location environment data; and transmit an auditable version of the fixed location environment data. The monitoring and reporting system is configured to determine whether the version of the environment data indicates that the monitored environment is operating within the bounds of a model defining correct operation of a food process and to output an alert if necessary.

Abstract: A seismic rock physics inversion method based on a large area tight reservoir includes steps: building a multi-scale rock physics model; analyzing fluid sensitivities of rock physics parameters in two scales of acoustic logging and ultrasonic wave, and sifting the rock physics parameters that are most sensitive to a porosity and a gas saturation in a plurality of observation scales; building a single-well rock physics template, preferably a standard template; considering lateral variations and heterogeneity of reservoir geological features, fine-tuning input parameters of the rock physics template according to gas testing situations of all wells in a large work area, optimizing the whole work area and building a three-dimensional work area rock physics template data volume, and combining the data volume with pre-stack seismic inversion to calculate a porosity and a saturation of a target layer; and smoothing a result and finally outputting a reservoir parameter inversion data volume.

Abstract: A system is provided for tracking usage of a plurality of water appliances in a distributed water infrastructure. The system may comprise at least one processor configured to receive, from a location in the distributed water infrastructure upstream of the plurality of water appliances, historical water usage measurements; determine from the historical water usage measurements at least one unique water usage signature associated with each of the plurality of water appliances; receive, from the location in the distributed water infrastructure upstream of the plurality of water appliances, current water usage measurements; determine from the current water usage measurements at least one current water usage signature; compare the current water usage signature with at least one of the unique water usage signatures stored in memory to determine a match; and, based on the signature match, ascertain an identifier of a water appliance in current use.

Abstract: A method of detecting a leak event within a wellbore can include inducing a pressure differential within a wellbore comprising a fluid, obtaining a sample data set representative of the acoustic signal across a frequency spectrum while inducing the pressure differential, determining a plurality of frequency domain features of the sample data set, determining a presence of a leak event at one or more depths within the wellbore based on determining that the plurality of frequency domain features match a leak event signature, correlating the leak event with the induced pressure differential, and determining a presence and location of a leak within the wellbore based on the presence of the leak event and the correlating of the leak event with the induced pressure differential.

Abstract: A system for intelligently implementing an autonomous agent that includes an autonomous agent, a plurality of infrastructure devices, and a communication interface. A method for intelligently calibrating infrastructure (sensing) devices using onboard sensors of an autonomous agent includes identifying a state of calibration of an infrastructure device, collecting observation data from one or more data sources, identifying or selecting mutually optimal observation data, specifically localizing a subject autonomous agent based on granular mutually optimal observation data, identifying dissonance in observation data from a perspective of a subject infrastructure device, and recalibrating a subject infrastructure device.

Abstract: Examples are disclosed that relate to reading stored data. The method comprises obtaining a representation of a measurement performed on a data-storage medium, the representation being based on a previously recorded pattern of data encoded in the data-storage medium in a layout that defines a plurality of data locations. The method further comprises inputting the representation into a data decoder comprising a trained machine-learning function, and obtaining from the data decoder, for each data location of the layout, a plurality of probability values, wherein each probability value is associated with a corresponding data value and represents the probability that the corresponding data value matches the actual data value in the previously recorded pattern of data at a same location in the layout.

Abstract: An analysis system for an aviation radiation dose includes: a proton spectrum generator which generates a galactic cosmic ray incident on the Earth's atmosphere and a proton spectrum corresponding to a solar proton event; a global radiation dose map producer which generates-particle transport and produces a radiation dose map; a global radiation dose map converter which converts the radiation dose map based on a standard atmosphere into a radiation dose map corresponding to current atmosphere conditions in real time; and a database in which data necessary for operations of the proton spectrum generator, the global radiation dose map producer and the global radiation dose map converter is previously calculated and stored, thereby having an effect on estimating any radiation route dose if information about an arbitrary path and time is given.

Abstract: This relates to correcting the actual absolute capacitance values of electrodes of non-optimized geometric shapes that are connected to electronic circuits. To correct the actual absolute capacitance values, a prediction model can first be determined by carrying out nonlinear regression on the basis of actual values of absolute capacitance values from the electrodes and from a probability density image from idealized electrodes for a plurality of object positions. The prediction model can then be applied to the actual absolute capacitance values to obtain a probabilities densities image for the actual absolute capacitance values, considered to be corrected absolute capacitance values used for the detection of the object.

Abstract: There is provided a system for predicting loading of a landing gear including, a plurality sensors positioned proximate to the landing gear. The plurality of sensors measure strain applied to the landing gear, and each sensor yielding strain data. The system further includes a processor that receives the strain data from the plurality of sensors and predicts at least one ground load based on strain data. There is further provided a method for predicting loading of a landing gear. The method includes powering a plurality of sensors located proximate to a landing gear structure, interrogating the plurality of sensors via data acquisition circuitry to yield strain data, instructing the data acquisition circuitry as to a sampling rate and data resolution to be used for the interrogating, and, finally, processing the strain data to predict a ground load.

Abstract: The subject technology relates to estimation of flow rates using acoustics in a subterranean borehole and/or formation. Other methods, systems, and computer-readable media are also disclosed. The subject technology includes drilling a wellbore penetrating a subterranean formation. The subject technology includes logging the wellbore using an acoustic sensing tool to obtain logged measurements, and obtaining acoustic pressure data associated with a leak source in the wellbore using the logged measurements. The subject technology also includes determining a flow rate (volumetric for fluid-based or mass for gas-based) of the leak source from the acoustic pressure data, and determining an area of the leak source from the determined flow rate. The subject technology also includes generating and providing, for display, a representation of the leak source using the flow rate and the area of the leak source.

Abstract: The present invention is relative to a method of ring-down spectroscopy in saturated-absorption condition, for measuring a first concentration of a gas through a measurement of the spectrum of a molecular transition of said gas.