Abstract: This factor analysis device is provided with a feature extraction unit (1021) that extracts feature quantities from an explanatory time series, a feature conversion unit (1022) that converts said feature quantities to a feature time series, a feature-time-series influence-degree computation unit (1031) that uses said feature time series and a response time series to compute an influence degree indicating the degree to which the feature time series influences the change over time represented by the response time series, and an explanatory-time-series influence-degree computation unit (1032) that uses said influence degree to compute an influence degree indicating the degree to which the explanatory time series influences the change over time represented by the response time series.

Abstract: A system and method for providing multivariate climate change forecasting are provided that obtain, from one or more climate model datasets, simulated historical and future climate model data, and from one or more climate observational datasets, historical observed climate data. A statistical distribution, using a Bayesian model, is provided of extremes or climate indices for one or more variable climate features using the simulated climate model data and the observed climate data. One or more metrics are determined, including a prediction of a future climate variable for a determined future time period, a confidence bound of the prediction of the future climate variable for the determined future time period, and a prediction bound for the future climate variable for the determined future time period. The metrics can be transmitted to a variety of applications in a variety of formats.

Abstract: A method is provided of processing data representing a physical system, the method comprising: providing (P2) input data representing differences in the physical system between a first state and a second state of the physical system; and inverting (P5) the input data, or data derived therefrom, in accordance with a parameterized model (PI) of the physical system to obtain differences in the parameters of the model between the first state and the second state, with parameters of the model representing properties of the physical system; wherein the inverting step is performed (P3 to P6) for a plurality of different perturbations (P4) of the parameterized model and/or of the data to obtain a plurality of sets of differences in the parameters of the model; and wherein a statistical analysis (P7) of the plurality of sets of differences is performed to obtain statistical characteristics of the differences in the parameters of the model.

Abstract: A magnetic field sensor arrangement includes a magnetic field sensor element configured to provide a sensor output signal responsive to a magnetic field, wherein the sensor output signal is representative of a magnetic field amplitude; a processing module configured to provide a processed sensor output signal representative of the sensor output signal; a switching level calculation module configured to calculate a switching level, (1) during a power up mode, based on a default switching level, and (2) during a running mode, based on the processed sensor output signal; a comparator module configured to compare the processed sensor output signal with the switching level, and to provide a comparator output signal based on the comparison; and a storage module configured to store the default switching level, provide the default switching level during the power up mode, and update the default switching level during the running mode.

Abstract: A system and method for determining an acquisition buffer size for use in processing signals, the method including determining a number of samples obtained for a predetermined number of line cycles based on digital signals received from an analog-to-digital converter (106), determining an integer number of line cycles needed for a predetermined target number of samples, and determining an acquisition buffer length based on the integer number of line cycles, as a length of time that can accommodate the determined integer number of line cycles while minimizing or avoiding partial line cycles. The method can further include determining whether the determined acquisition buffer length is within a threshold range, and when not within the threshold, continuing to store a previously determined acquisition buffer length instead of the determined acquisition buffer length. The method may be repeated to continually adjust the acquisition buffer length to minimize or avoid partial line cycles.

Abstract: The present invention is related to a method for detecting and/or measuring atmospheric accretion on a suspended electrical cable span (2) of overhead power lines, said suspended electrical cable span (2) having a sag (D) and a local tension (H), and being submitted to wind pressure (wwind), comprising the steps of independently: measuring said sag (D), and optionally measuring the wind pressure (wwind), over a first time range, measuring the local tension (H) over a second time range, the results of both steps being complemented and/or combined, so that to allow atmospheric accretion detection and/or measurement.

Abstract: In one example, this disclosure describes a method including receiving, at a central controller of an air mattress system, a plurality of air pressure value, determining a plurality of average values using the plurality of the received air pressure values, calculating a difference value between a first one of the plurality of average values and a second one of the plurality of average values, comparing the difference value to a threshold value, determining, based on the comparison, whether a user of the air mattress system moved.

Abstract: Peaks are detected on a mass chromatogram at multiple m/z ratios characterizing a target component, and the detected peaks are classified into groups according to their occurrence time. The measured mass spectrum is acquired for each group, the measured mass spectrum and standard mass spectrum of the target component are matched for each m/z, and the standard mass spectrum is normalized by multiplying it by the same scale factor for all the m/z ratios such that it does not exceed the peak intensities on the measured mass spectrum. The quantitation ion m/z peak intensity on the normalized standard mass spectrum is then examined, and if this intensity exceeds a preset threshold and the confirmation ion ratio determined based on the measured mass spectrum obtained for the target component is outside a reference range, then that target component is taken as a narrowed result candidate.

Abstract: This invention relates to a method for determining a map of expectation and/or of variance of height of liquid hydrocarbon in a geological model. The method allows analytical resolution of these maps while taking account of the uncertainties in the variables allowing this calculation such as the porosity or oil saturation of the rock and also the uncertainty in the presence of certain types of facies given by the apportionment cubes of architectural elements pAE(c) and proportion cubes for each facies, these proportions then having a triangular distribution defined by the following three values pA,AE,min(c), pA,AE,max(c) and pA,AE,mode(c). In particular, the method comprises the calculation of the sum of the plurality of architectural elements of pAE(c)·?(pA,AE,min(c)+pA,AE,max(c)+pA,AE,mode(c)) and the determining of a value of expectation of height of liquid hydrocarbon for said column as a function of the sum determined.

Abstract: A downhole tool, surface equipment, and/or remote equipment are utilized to obtain data associated with a subterranean hydrocarbon reservoir, fluid contained therein, and/or fluid obtained therefrom. At least one condition indicating that a density inversion exists in the fluid contained in the reservoir is identified from the data. Molecular sizes of fluid components contained within the reservoir are estimated from the data. A model of the density inversion is generated based on the data and molecular sizes. The density inversion model is utilized to estimate the density inversion amount and depth and time elapsed since the density inversion began to form within the reservoir. A model of a gravity-induced current of the density inversion is generated based on the data and the density inversion amount, depth, and elapsed time.

Abstract: Dynamic removal of correlation of highly-correlated parameters for optical metrology is described. An embodiment of a method includes determining a model of a structure, the model including a set of parameters; performing optical metrology measurement of the structure, including collecting spectra data on a hardware element; during the measurement of the structure, dynamically removing correlation of two or more parameters of the set of parameters, an iteration of the dynamic removal of correlation including: generating a Jacobian matrix of the set of parameters, applying a singular value decomposition of the Jacobian matrix, selecting a subset of the set of parameters, and computing a direction of the parameter search based on the subset of parameters. If the model does not converge, performing one or more additional iterations of the dynamic removal of correlation until the model converges; and if the model does converge, reporting the results of the measurement.

Abstract: A waveform data processing device 30 capable of accessing a storage device 40 for storing data on an observed waveform such as a chromatogram, information on a starting point and an ending point of a peak cluster consisting of a plurality of peaks close one another present on the observed waveform, and information on a position of each peak included in the peak cluster and a positive/negative direction of the each peak, includes baseline determination means for determining, based on the data and the information stored in the storage device 40, a shortest straight line or shortest line segments from the starting point of the peak cluster as a beginning point to the ending point of the peak cluster as a finishing point satisfying all following conditions, and determining the straight line or the line segments to be a baseline of the peak cluster: (1) in a section where positive peaks are contiguous, a baseline passes below the observed waveform, becoming a straight line or line segments convex downward; (2) in

Abstract: Techniques for log squaring using both directional and non-directional electromagnetic measurements are disclosed. The techniques described herein can be used for determining bed boundary locations and assigning resistivity values to each layer in a layered earth model, regardless of well deviation. Potential bed boundary locations can be derived from both directional and non-directional electromagnetic measurement data. The bed boundary locations from the directional and non-directional measurements can then be consolidated using a weighted averaging scheme, where weight can be dependent based on apparent formation dip. By combining the results from both directional and non-directional measurements, the log squaring techniques described herein can be used in most wells regardless of the well angle (the angle can be arbitrary). Once bed boundaries are selected, formation properties, such as horizontal resistivity (Rh) and vertical resistivity (Rv) can be assigned to the model layers.

Abstract: The present invention provides a method for accurately determining the power usage on an unbalanced two phase electrical circuit having both two phase and single phase loads using a single current transformer (CT). The method includes a learning algorithm stored in a memory of a monitoring device, the algorithm configured to be implemented by a processor. The learning algorithm determines whether the CT is monitoring the conductor that supplies the single phase load and alerting the installer if it is not monitoring the conductor supplying the single phase load. Upon determining that the CT is monitoring the conductor that supplies the single phase load the learning algorithm will learn the characteristics of at least the single phase load and store the learned characteristic in a memory associated of the monitoring device.

Abstract: A method can include receiving locations of microseismic events associated with a fracturing operation performed in a geologic environment; determining an individual correlation exponent for one of the microseismic events based at least in part on distances where each of the distances is between the location of the one microseismic event and a location of another one of the microseismic events; and, based at least in part on the individual correlation exponent, associating the one of the microseismic events with a fracture generated or activated by the fracturing operation.

Abstract: A method for determining a pair of compliance events is provided. A set of event data collected by a PET detector may be divided into N sub-sets, and each of the N sub-sets of event data may be sorted according to an occurrence time of each event included in the event data, wherein N is an integer greater than or equal to 2. A K stage heapsort may be performed on the sorted N sub-sets of event data according to the occurrence time of each event, so as to sequentially output data of each event in the sorting order, wherein K is an integer greater than or equal to 1. A time compliance determination and a space compliance determination may be performed on the sequentially-outputted event data, and a pair of compliance events may be determined if both the time compliance determination and the space compliance determination are passed.

Abstract: A data processing system including a sensitivity coefficient holder for holding a value R of a sensitivity coefficient for a wavelength ?1 belonging to one peak in a spectrum of a first component and a second wavelength ?2 belonging to the same peak and having a lower intensity than ?1, the value R defined using the ratio of the peak areas or similar information of two chromatograms respectively obtained at the two wavelengths; a chromatographic detector for spectroscopically analyzing sample components exiting from a component-separating column and for measuring an intensity at the second wavelength ?2 of the spectrum of the first component and an intensity at a wavelength ?3 of a spectrum of a second component at each point in time; and a concentration ratio calculator for calculating the ratio of concentration between the first component and the second component.

Abstract: A sensor having a set of plates that are in contact from their bottom at the corners with a set of protrusions that are in contact from above with a plurality of intersections, each having a sensing element, of a grid of wires disposed on a base, and a top surface layer that is disposed atop the set of plates, so that force imparted from above onto the top surface layer is transmitted to the plates and then to the protrusions, and then to the intersections of the grid of wires which are thereby compressed between the base and protrusions; and that the protrusions above thereby focus the imparted force directly onto the intersections. A sensor includes a computer in communication with the grid which causes prompting signals to be sent to the grid and reconstructs a continuous position of force on the surface from interpolation based on data signals received from the grid. A method for sensing.

Abstract: The invention is related to a photovoltaic element evaluation method, comprising a time-controlled measurement of a current-voltage characteristic of a photovoltaic element, said photovoltaic element being arranged in a measuring circuit for measuring at least an electrical current and/or an electrical voltage of said current-voltage characteristic. The invention relates furthermore to a measuring system configuration for performing time-controlled measurements of current-voltage characteristics of replaceable photovoltaic elements.

Abstract: A method for non-destructively estimating a current physical condition of a cordage product in-service is described. The method involves obtaining sensor data associated with the cordage product while in-service handling a load. The sensor data includes any combination of cordage product elongation data, applied load data, and diametric data. The method further includes determining an axial stiffness value associated with the cordage product based on the sensor data and estimating a health state of the cordage product based on the determined axial stiffness value. The estimated health state is indicative of the current physical condition of the cordage product.