Abstract: Disclosed is a method of detecting at least one oscillatory fault in at least one positional slaving chain for at least one airfoil of an aircraft. The method involves estimating a reference position of the airfoil in the absence of a fault, and calculating a residual value based on the difference between the estimated reference position and the actual position measured by at least one sensor. The calculated residual value is compared with at least one predetermined threshold value to determine the number of successive and alternating overshoots of the predetermined threshold value by the residual value, and oscillatory fault is determined based on the determined number.

Abstract: A method for determining the spatial distribution of magnetic resonance signals from an imaging area, wherein nuclear spins are excited in a spatially encoded fashion through multi-dimensional RF pulses, is characterized in that in a definition step, a resolution grid with resolution grid cells is predetermined, and in accordance with a predetermined phase encoding scheme, an excitation pattern is defined for each phase encoding step, in which the amplitudes within the imaging area are set in accordance with a predetermined distribution identically for each phase encoding step. In a preparatory step, the amplitude and phase behavior of the RF pulses to be irradiated is calculated in accordance with a predetermined k-space trajectory for each defined complex excitation pattern.

Abstract: A signal analysis method extracts transient target signals of known type from a raw data source signal that contains an unknown number of target signals. The method can enhance the analysis of data obtained from in-line oil-debris sensors. The method comprises steps of: defining signatures of the known target signal, and of at least one of the intrinsic noise and interfering signals; performing a mathematical transform that decomposes the raw data into distinct data sets; using the signal signatures to identify and nullify the data sets containing noise and interfering signal signatures; using the target signal signatures to identify the data sets containing target signal components, or may further use a thresholding rule to remove intrinsic noise from said data sets, and finally applying the inverse transform to the processed data sets in order to reconstruct an enhanced output signal.

Abstract: A system for evaluating the metrological characteristics of a surface of a substrate, the system including an optical substrate measurement system, a data analyzing system for analyzing data in an evaluation area on the substrate, applying feature-specific filters to characterize the surface of the substrate, and produce surface-specific metrics for characterizing and quantifying a feature of interest, the surface-specific metrics including a range metric for quantifying maximum and minimum deviations in the evaluation area, a deviation metric for quantifying a point deviation having a largest magnitude in a set of point deviations, where the point deviations are an amount of deviation from a reference plane fit to the evaluation area, and a root mean square metric calculated from power spectral density.

Abstract: A method and a device for estimating a first value of a signal formed of a series of values corresponding either to the first value or to a second value equal to the opposite of the first value, where the signal can take values other than the first and second values due to noise.

Abstract: A failure diagnosis apparatus for a homogeneous charge compression ignition engine having combustion modes switchable between HCCI combustion, performed together with internal EGR, and SI combustion. The engine includes an intake variable valve mechanism and an exhaust variable valve mechanism. The apparatus includes an airflow meter detecting an intake amount of mixture drawn into a combustion chamber of the engine and a control computer determining whether a failure has occurred in the intake variable valve mechanism and the exhaust variable valve mechanism from intake amount change information.

Abstract: Provided are methods, systems and computer program products evaluating magnetic resonance (MR) signals from a sample. The methods and systems can be used to evaluate MR signals from various constituents (e.g., metabolites, macromolecules) of the sample.

Abstract: At least one embodiment of the present invention provides a method for detecting voltage disturbance. In at least one embodiment the method includes storing the digitized point values of a voltage reference waveform; detecting actual voltage values, and converting the actual voltage values by digitization into point values of the actual voltage which are in one-to-one correspondence with the point values of the reference waveform; comparing the point values of the actual voltage with the corresponding point values of the reference waveform; judging that a voltage disturbance occurs if, for N successive points, the differences between the point values of the actual voltage and the corresponding point values of the reference waveform are all greater than a predetermined disturbance threshold, wherein N is an integer greater than 0. A technical solution of the present invention improves the response speed of the detection, and shortens the response time.

Abstract: Objects such as manufactured goods or articles, works of art, media such as identity documents, legal documents, financial instruments, transaction cards, other documents, and/or biological tissue are sampled via sequential illumination in various bands of the electromagnetic spectrum, a test response to the illumination is analyzed with respect to reference responses of reference objects. The sequence may be varied. The sequence may define an activation order, a drive level and/or temperature for operating one or more sources. Illumination may be in visible, infrared, ultraviolet, or other portions of the electromagnetic spectrum. Elements of the evaluation system may be remote from one another, for example coupled by a network.

Abstract: (EN) The invention concerns a device for controlling an internal combustion engine (601), comprising means (600) for generating a signal for controlling the internal combustion engine (601), a sensor (602) for supplying a pressure measurement signal of a combustion chamber of the internal combustion engine (601), and a filtering device (603) for generating a filtered pressure signal, said filtering device (603) being made from analog electronic components.

Abstract: This disclosure describes signal processing techniques that can improve the performance of blind source separation (BSS) techniques. In particular, the described techniques propose pre-processing steps that can help to de-correlate the different signals from one another prior to execution of the BSS techniques. In addition, the described techniques also propose optional post-processing steps that can further de-correlate the different signals following execution of the BSS techniques. The techniques may be particularly useful for improving BSS performance with highly correlated audio signals, e.g., from two microphones that are in close spatial proximity to one another.

Abstract: A method for evaluating a received signal varying over an interval includes: (a) obtaining a data sample and a sample time; (b) determining whether the sample exceeds a previous exceeded extremum of the signal; (c) if the sample does not exceed an exceeded extremum, storing the sample; (d) if the sample exceeds the an exceeded extremum, in no particular order: (1) extracting and storing cycle information involving the exceeded extremum; and (2) replacing an earliest exceeded extremum with the sample; (e) outputting first selected data from a storage unit; (f) determining whether the interval has completed; (g) if the interval has not completed, repeating steps (a) through (f); (h) if the interval has completed, checking whether an output buffer is empty; (i) if the buffer is not empty, outputting second selected data from the buffer; j) if the buffer is empty, terminating the method.

Abstract: An apparatus, computer program product and method of analyzing complex signals. Independent versions are generated for the complex signal, e.g., by adding multiple instances of white noise. Intrinsic mode functions (IMFs) are extracted from each of the independent versions, e.g., using Empirical Mode Decomposition (EMD). Corresponding IMFs from each independent version are combined into Ensemble IMFs (EIMFs), e.g., taking the mean of the corresponding IMFs.

Abstract: A method of processing, by a computer, an input signal including obtaining input signal samples that represents a physical quantity. The method includes transforming the samples from an original domain into a plurality of coefficients in a transform domain, using an over-complete transform, such that the plurality of coefficients is sufficient to redundantly reconstruct the input signal samples. The method also includes modifying the coefficients independently of each other by applying a correction function, obtaining a set of corrected coefficients. The method also includes transforming the set of corrected coefficients back to the original domain. In the method, the correction function is determined by using a set of training pairs, each training pair including an uncorrected signal and a corrected signal, and by reducing a specified aggregate measure of error between the uncorrected signal and the corrected signal in the original domain across the training pairs.

Abstract: A printer is provided with: a detector, operable to output an output signal in accordance with a state of a printing medium transported within the printer; and a control signal generator, operable to generate a control signal in accordance with a level of the output signal relative to a threshold. In order to control the printer, the output signal is detected. A timing signal indicative of a timing to judge the state of the printing medium is detected.

Abstract: A circuit for detecting noise events in a system with time variable operating points is provided. A first voltage, which is averaged over time, is compared to a second voltage. A signal is generated to instruct circuits within a processor to initiate actions to keep a voltage from drooping further.

Abstract: A method is provided for evaluating quantity PQ representing a quality, as perceived by a recipient, of a signal OFx carrying data representing at least one stimulus intended to be produced on said recipient. The method includes a step of quantification of parameters Sqm and Tqm representing a spatial quality and a temporal quality of the signal, and a step of weighting during which a weighted product of the parameters Sqm and Tqm is computed and raised to a power C strictly below one. The method can be used to take account of a correlation that will be made by a person exposed to the stimulus between its spatial and temporal qualities, in applying an automatic technique in real time.

Abstract: A method for automated calibration of an avalanche photodiode receiver includes measuring two values of avalanche photodiode biases at two successive times, measuring and comparing a bit error rate corresponding to each value. When the bit error rate of the second value is equal to or greater than the bit error rate of the first value, then a third value and a fourth value of avalanche photodiode bias closer together are measured. When the bit error rate of the fourth value is smaller than the bit error rate of the third value, two subsequent values as third value and fourth value are measured, and an optimum avalanche photodiode bias when the bit error rate of the fourth value is equal to the bit error rate of the third value is measured.

Abstract: A baseline processing device and method are provided for analyzing signals with uneven distributions of pulses and slow varying baselines. In one embodiment, the device includes an A/D sampling unit for sampling a digital counting signal to obtain sampled data, and a baseline extracting unit for sorting the N sampled data in the sampling sequence by magnitude and for outputting, among the N sample data, one sample data A with a value equal to the mid-value in the N sample data. A phase compensating unit with a width of M, to which a digital signal is input, outputs a sampled data B according to a FIFO sequence, wherein M=N/2. A first subtractor subtracts the sample data A from the sample data B and outputs the result as baseline removed data.

Abstract: A multi-functional sensor for deriving information on a recording sheet material comprising an impact-applying unit for applying an external mechanical force onto the recording sheet material, a signal-detecting unit for detecting a signal of response of the recording sheet material to the external mechanical force, a signal-processing unit for processing the signal, and a signal-judging unit for deriving a property of the recording sheet material by comparison of a signal from the signal-detecting unit or the signal processing unit with information memorized preliminarily, wherein the signal-processing unit comprises a separation section for separating the signal from the signal-detecting unit into output signals on the properties of the recording sheet material, and a processing section for deriving, by statistical treatment, a correlation equation showing a correlation between the separated output signal and the properties of the recording sheet material.

Abstract: In a system for monitoring an output of a sensor for detecting an operating state of a gas turbine engine by comparing a value of an output of the sensor with a prescribed reference value, a calibration map for converting the output of the sensor into a variable that is normally used for controlling the engine is used for defining the reference value for determining the state of the sensor. Thereby, a fault of a sensor can be detected both accurately and promptly by using the existing resource without unduly complicating the control program. It is particularly desirable to monitor the output of the sensor by taking into account the current operating condition of the engine to improve the reliability in detecting a fault in the sensor.

Abstract: There is described a method for detecting anomalies in a set of signals that normally exhibit analogous behaviour. The method comprises: acquiring a set of signals from at least one measurement source; designating a reference signal Sref from the acquired set of signals; computing a deviation Devi between the reference signal Sref at a reference point in time tref (Sref(tref)) and at least one of the acquired signals Si over time; and generating a deviation alarm trigger when the deviation meets a given deviation criteria.

Abstract: Methods and apparatuses for validating signals to determine sizes and velocities of spherical objects are described. Light is scattered from a spherical object to form an interference fringe pattern. Portions of the interference fringe pattern are received by photodetectors. In response, the photodetectors generate time varying electrical signals. At least one of the time varying signals is partitioned into timing segments. The timing segments are processed to determine one or more timing parameters. A timing parameter consistency between at least two of the timing segments is verified. At least one of the time varying signals is validated based on the timing parameter consistency. The time varying electrical signal is accepted if a timing parameter difference is less or equal to a predetermined timing parameter error threshold. The time varying electrical signal is rejected if the timing parameter difference is larger than the predetermined timing parameter error threshold.

Abstract: In one embodiment, the invention is directed toward a networked grain aeration control system. For example, the system can provide centralized monitoring of the aeration of a number of grain storage facilities, thereby improving the management of stored grain. The networked grain aeration control system can allow the custodian of the system to offer an aeration service. Farmers, or other individuals, cooperatives, or companies can purchase the aeration service at a cost proportionate to the amount of stored grain to be aerated and the duration of storage. In this manner, the purchaser of the aeration service can avoid relatively high fixed costs that can be associated with various aeration hardware.

Abstract: Time correlation of signal to distortion characteristics is achieved by acquiring time domain data for a frequency band representing a communication signal, the communication signal having multiple channels. The time domain data is simultaneously converted to frequency and demodulation domain data in sequential time blocks. The frequency and demodulation domain data are processed to obtain respectively frequency and demodulation domain measurements. The resulting measurements are displayed simultaneously as a function of time for all the time blocks and/or for a selected one of the time blocks. An ACLRogram display provides a display having a time axis and a frequency axis in the form of bars spanning the frequency band for each time block with each bar being divided into frequency sub-bands representing a main channel and adjacent side channels, the shading of each segment of the bar representing a measurement value for that segment.

Abstract: A method and system for testing a MEMS sensor element during operation of a MEMS sensor system in one embodiment includes a test signal generator configured to generate a broad frequency band test signal, and a verification signal substantially identical to the test signal, a microelectrical-mechanical system (MEMS) sensor element operatively connected to the test signal generator for generating a sensor output in response to the test signal, a comparison component configured to generate an evaluation signal output based upon the verification signal and the test signal, and an evaluation circuit operatively connected to the comparison component and configured to identify a mismatch between the verification signal and the sensor output based upon the evaluation signal.

Abstract: A method for adapting threshold values in an electronic signal processing device, involving a plurality of different threshold values being calculated and being compared with processing variables calculated in the signal processing device, involves calculation of a common correction value which is valid for the various threshold values. The threshold values are then set on the basis of the common correction value.

Abstract: A semiconductor storage device which includes a memory array including a plurality of memory cells for storing data by using a difference in a threshold voltage and at least one reference cell for storing data indicative of a state of a corresponding memory cell by using a difference in a threshold voltage, a control circuit for determining a read voltage based on data stored by a reference cell corresponding to a memory cell adjacent to a memory cell to be read, a read unit for executing reading from a memory cell to be read by using a determined read voltage, and a write unit for executing writing, when executing writing to a memory cell to be written to bring the memory cell into a written state, data indicating that the memory cell is in the written state to a reference cell corresponding to the memory cell.

Abstract: For automatic identification of microorganisms collected on a carrier, a color image of the carrier surface with collected microorganisms is recorded and digitalized. The digitalized image is converted into a grayscale image and optionally converted subsequently into a silhouette image. When microorganisms are present, an image is produced with full-surface labeled objects of a first grayscale and a background of a second grayscale. Objects are identified in the grayscale and/or silhouette image by a model-based comparative method. Contours of the objects are marked in the color or grayscale image. Features of the objects in the color image and/or grayscale image are determined. The objects are classified based on the features. The classified objects are indicated and/or saved as species, name and/or code. Non-classified objects are indicated and/or saved as color, grayscale and/or silhouette image. Non-classified objects are subsequently discarded or added as a new case to the classification system.

Abstract: A noise-component removing method for removing a noise component from multipoint spectral data that has been generated through measurements performed at measurement points of a sample surface, the method comprising: a PLS analysis step of determining components of the multipoint spectral data for each measurement point in a descending order of eigenvalues of the components by subjecting the multipoint spectral data to multivariate analysis based on the partial least squares regression using a value obtained by quantifying characteristic information about a characteristic of each measurement point, other than spectral information of the measurement point and using the spectral information as an independent variable in the partial least squares regression; and a spectrum reconstruction step of reconstructing the multipoint spectral data for each measurement point to eliminate a component having an eigenvalue lower than a predetermined value, from the components determined in the PLS analysis step.

Abstract: A sensor arrangement comprises a sensor responsive to a measurement parameter as a sensor signal and a signal processing means for the sensor signal, the signal processing means having a switching stage for comparison of the sensor signal with a comparison or switching value and for producing a switching signal in a manner dependent on the comparison. A functional stage is present, which constitutes one function of the sensor signal, is comprised in the signal processing means, such function including a time derivative of the sensor signal or a sensor signal value modified by an additive factor, and the output signal of the functional stage forming the comparison of switching value for the switching stage.

Abstract: A signal analysis method extracts transient target signals of known type from a raw data source signal that contains an unknown number of target signals. The method can enhance the analysis of data obtained from in-line oil-debris sensors. The method comprises steps of: defining signatures of the known target signal, and of at least one of the intrinsic noise and interfering signals; performing a mathematical transform that decomposes the raw data into distinct data sets; using the signal signatures to identify and nullify the data sets containing noise and interfering signal signatures; using the target signal signatures to identify the data sets containing target signal components, or may further use a thresholding rule to remove intrinsic noise from said data sets, and finally applying the inverse transform to the processed data sets in order to reconstruct an enhanced output signal.

Abstract: The present invention provides a system for identifying exceptional behavior of a hardware or software component. According to one embodiment, the system comprises an operational metric calculator that is operative to sample a first behavior of an operational metric and a second behavior of the operational metric. The operational metric may be any metric that quantifies the operation of a hardware or software component, as well as combinations thereof. A baseline threshold calculator is operative to calculate a baseline threshold on the basis of the first sampled behavior of the operational metric. The baseline threshold is applied by a baseline threshold analyzer to the second operational metric to generate an alarm when the second sampled behavior of the operational metric deviates from the baseline threshold.

Abstract: Embodiments of the invention are generally directed to a system and method for regression tests of graphical user interfaces. In one embodiment, a testing system receives the actual state and the target of a GUI under test. The testing system computes the difference between the actual state and the target state based, at least in part, on a weighting function. The computed difference is compared to a threshold value. In an embodiment, if the difference is within the threshold, then the system indicates that the GUI is valid.

Abstract: A method of: submitting reference sequences to a taxonomic database to produce taxonomic results; and reporting a taxonomic identification based on the taxonomic results. The reference sequences are the output of genetic database queries that return a score for each reference sequence. A method for processing a biological sequence obtained from an assay by: converting base calls located in a predetermined list of positions within the biological sequence to N; and determining the ratio of single nucleotide polymorphisms in the biological sequence relative to a reference sequence. Each entry in the predetermined list of positions represents the capability of a substance hybridizing to a microarray used to generate the biological sequence. The substance is not the nucleic acid of a target pathogen.

Abstract: A method and system provide a multi-sensor data fusion system capable of adaptively weighting the contributions from each one of a plurality of sensors using a plurality of data fusion methods. During a predetermined tracking period, the system receives data from each individual sensor and each data fusion method is performed to determine a plurality of reliability functions for the system based on combining each sensor reliability function which are individually weighted based on the S/N (signal-to-noise) ratio for the received data from each sensor, and a comparison of predetermined sensor operation characteristics for each sensor and a best performing (most reliable) sensor. The system may dynamically select to use one or a predetermined combination of the generated reliability functions as the current (best) reliability function which provides a confidence level for the multi-sensor system relating to the correct classification (recognition) of targets and decoys.

Abstract: Determining a property of a measured peak pattern having at least one peak includes extracting measured peak parameters from the measured peak pattern, and determining deviations of the measured peak parameters from reference values of a reference peak pattern. The reference peak pattern is represented by a spring model, with peak parameters being represented by corresponding springs. Determining a property of a measured peak pattern also includes determining a deformation energy necessary for deforming the reference peak pattern in a way that the deformed reference peak pattern substantially represents the measured peak pattern.

Abstract: Systems and apparatus related to quantum resonance interferometry for detecting signals are described. First and second signals are received and coupled with a first function and a second function, respectively, generated from a first quantum mechanical system and a second quantum mechanical system, respectively. By doing so, a first tunneling rate and a second tunneling rate are generated. The first tunneling rate is coupled with a third function generated from a third quantum mechanical system. The second tunneling rate is coupled with the third function to obtain a third tunneling rate. Upon determining that the third tunneling rate is greater than a threshold, it is identified that the second signal corresponds to the first signal.

Abstract: A device for processing a signal (i) derived from a particular detector, the device including an integrator for measuring the total charge transported by an input signal (i2) feeding the integrator for a predetermined time interval. The device further includes a plurality of units for receiving detector signal (i) derived from the particle detector, reducing the background noise present in the detector signal (i), and producing the input signal (i2). The invention is applicable to various devices and appliances for measuring flow of particles such as photons.

Abstract: A method of and apparatus for evaluating the performance of a control system are disclosed. The method of evaluating the performance of a control system includes calculating a ratio of a first area associated with the signal and a second area associated with the signal. The method also includes comparing the ratio with a predetermined value and determining a cause of an oscillation in the control system based on the comparison. The apparatus for evaluating the performance of a control system includes a processor operable to execute a first function configured to calculate a ratio of a first area associated with the signal and a second area associated with the signal. The first function is also configured to compare the ratio with a predetermined value and determine a cause of oscillation in the control system based on the comparison.

Abstract: A method of operating a data processing system includes predicting values for a set of thermal sensors based on an assumed inlet air temperature and a selected configuration state. Additional values are predicted for a plurality of assumed inlet air temperatures and a plurality of configuration states. Actual thermal sensor values are then determined. A measure of the difference between each set of predicted values and the set of actual values is determined and, based thereon, a most likely configuration state is identified. The plurality of thermal sensors preferably includes an inlet air thermal sensor suitable for determining air temperature at an inlet to the system. The configuration states includes a state in which one of the thermal sensors is malfunctioning. The measure of difference is determined by squaring a difference between each actual thermal sensor values and a corresponding predicted thermal sensor value and summing the squares.

Abstract: Systems and methods for reducing noise in spectral data. A noise burst level is defined. If a spectral point has an intensity greater than the burst level (a burst point), points neighboring the burst point are examined. If a function of these neighboring points indicates that the burst point is a discrete event, then the abundance level of the burst point is altered.

Abstract: A method of setting up a genset system for operation includes selecting one of a plurality of different sensors to monitor an operating parameter of a genset system, and coupling the selected sensor with a data processor of the genset system. The method further includes configuring the data processor for processing inputs from the selected sensor, for example an optional replacement sensor, by entering custom sensor calibration data for the selected sensor and recording the custom sensor calibration data on at least one computer writable medium of a control system for the genset system. A genset system includes a combustion engine, a generator, a set of standard sensors, and a control system. The control system includes a data processor configured to receive and process inputs from custom sensors, and includes a computer writable medium for storing custom sensor calibration data.

Abstract: An apparatus and methods for improving the ability of a detection system to distinguish between a “true attack” as opposed to a nominal increase in a monitored environmental characteristic.

Abstract: A circuit for detecting noise events in a system with time variable operating points is provided. A first voltage, which is averaged over time, is compared to a second voltage. A signal is generated to instruct circuits within a processor to initiate actions to keep a voltage from drooping further.

Abstract: A computer monitoring system includes a sensor, a non-volatile storage and a controller. The sensor measures a parameter of a computer, and the non-volatile storage holds a threshold representing a limit for the parameter. The controller is configured to determine a normal operating range for the parameter and modify the threshold to match the limit of the normal operating range more closely.

Abstract: A method of processing Fourier Transform Mass Spectrometry (FTMS) data comprises carrying out a Fourier Trans-form of a part of a time domain transient and identifying from that transformed data signal peaks representative of the presence of ions. Once the peaks have been identified, the full transient is then transformed, and the peaks identified in the partial transient transform are used to locate true peaks in the transformed full transient. The number of ‘false’ peaks resulting from random noise has been found to correlate to the resolution, so that using a partial transient to identify true peaks reduces the risk of false peaks being included; nevertheless this information can then be applied to the full data set when transformed. As an alternative, different parts of the full data set can be transformed and then correlated; because any noise will be random, false peaks should occur at different places in the two partial transforms.

Abstract: In a method of workload placement based upon capacity utilizations of a plurality of CRAC units, the provisioning of the plurality of CRAC units is determined and the zone of influence for each of the plurality of CRAC units is also determined based upon the provisioning of the plurality of CRAC units. It is determined whether a CRAC unit of the plurality of CRAC units is at least one of near failure or has failed. In addition, the workload is shifted from a zone of influence of at least one CRAC unit to a zone of influence of another of the plurality of CRAC units in response to a determination that a CRAC unit is at least one of near failure or has failed.

Abstract: A method of detecting real events by obtaining a set of recent signal results, calculating measures of the noise or variation based on the set of recent signal results, calculating an expected baseline value based on the set of recent signal results, determining sample deviation, calculating an allowable deviation by multiplying the sample deviation by a threshold factor, setting an alarm threshold from the baseline value plus or minus the allowable deviation, and determining whether the signal results exceed the alarm threshold.

Abstract: A method of detecting real events by obtaining a set of recent signal results, calculating measures of the noise or variation based on the set of recent signal results, calculating an expected baseline value based on the set of recent signal results, determining sample deviation, calculating an allowable deviation by multiplying the sample deviation by a threshold factor, setting an alarm threshold from the baseline value plus or minus the allowable deviation, and determining whether the signal results exceed the alarm threshold.