Abstract: A mechanism is provided for mitigating aging of a set of components in the data processing system. A modeled age of a component in the set of components is identified. A desired aging requirement for the component is identified and a determination is made as to whether the modeled age of the component is greater than the desired age of the component. Responsive to the modeled age of the component being greater than the desired age of the component, a policy is implemented to mitigate the aging of the component.

Abstract: Data streams that can be related to operation tracing and/or performance indications, for example, may be monitored. The data streams can have different dynamic statistical characteristics including static signal distributions and non-static signal distributions with respect to time. The data streams may be analyzed independent of any predetermined assumptions on statistical behavior and on changes in the statistical behavior. Data may be transformed into a set of key performance indicators and performance-change indicators that are adaptive to instantaneous statistical changes.

Abstract: A method for accurately acquiring multiple analog input signals that are converted using a plurality of A/D converters into corresponding digital single measured values. A first measurement averaging cycle having a predetermined total number of measuring intervals is predetermined by a higher-order control unit. First and second input signals are acquired by first and second A/D converters in a first and second number of measuring intervals, the second number being smaller than the first number. The first and second input signals are averaged to form first and second measured values, respectively. The first input signal is acquired by the second A/D converter in a third number of measuring intervals as at least one further single measured value.

Abstract: A method for locating a pulse in detector output data, comprising fitting one or more functions to the detector output data; and determining a location and an amplitude of a peak of said pulse from said one or more functions. The one or more functions may be are a function of time.

Abstract: An apparatus having a first circuit and a second circuit is disclosed. The first circuit may be configured to generate statistics of a region of a memory circuit as part of a read scrub of the region. The region may have multiple units of data. The memory circuit may be configured to store the data in a nonvolatile condition. The second circuit is generally configured to (i) track one or more parameters of the region based on the statistics, (ii) determine when one or more of the statistics of one or more outliers of the units in the region exceeds a corresponding threshold and (iii) track the parameters of the outlier units separately from the parameters of the region in response to exceeding the corresponding threshold. The parameters generally control one or more reference voltages used to read the data from the region.

Abstract: A method, apparatus and computer program product are provided to effectively determine the emotional response of each of a plurality of individuals, such as the members of a group. In the context of a method, information is received identifying an emotional response of each of a plurality of individuals. The method also includes determining, with a processor, a relationship between a threshold and a number of individuals with an emotional response that satisfies a predefined condition. Further, the method includes causing an action to be performed based upon the relationship.

Abstract: Systems, apparatus and methods including a contact lens that facilitates collection and/or processing of information associated with sensed features are provided. In one aspect, a system can include a contact lens and an analysis component external to the contact lens. The contact lens can include: a substrate; and a circuit, disposed on or within the substrate. The circuit can include: a plurality of sensors configured to sense respective features associated with a wearer of the contact lens; and a communication component configured to communicate information indicative of sensed features. The analysis component can be configured to: receive the information indicative of the sensed features; and generate statistical information based, at least, on the information indicative of the sensed features.

Abstract: A furnace is monitored by monitoring a statistical variable calculated from a draft measurement and monitoring a process variable related to the operation of the furnace. An abnormal operation of the furnace is determined based upon the statistical variable and the process variable.

Abstract: There is described herein the extension of the application of the Laplace Test Statistic for trend analysis and prediction of incipient faults for power systems. The extensions consider the situation where two parameters believed to contribute explicitly to the eventual failure are monitored. The developed extensions applied to actual incipient failure events provide promising results for prediction of the impending failure. It is demonstrated that by incorporating two parameters in the trend analysis, the robustness to outliers is increased and the flexibility is augmented by increasing the degrees of freedom in the generation of the alarm signal.

Abstract: An approach to signal conversion adapts the signal conversion process, for example, by adapting or configuring signal conversion circuitry, according to inferred characteristics (e.g., probability distribution of value) of a signal being converted. As an example, an analog-to-digital converter (ADC) may be adapted so that its accuracy varies across the range of possible input signal values in such a way that on average the digital signal provides a higher accuracy than had the accuracy remained fixed. In another example, models (and corresponding inference circuitry) of both an input signal process and of a quantization process are used to improve signal conversion accuracy.

Abstract: An analyzer which acquires first measured data relating to a first parameter and second measured data relating to a second parameter, the first and second measured data being obtained by measuring an analyte, forms a two-dimensional distribution chart that indicates a distribution of tangible components contained in the analyte based upon the first and second measured data, with the first and second parameters being set as two axes of the two-dimensional distribution chart, sets an area on the two-dimensional distribution chart, and forms a frequency distribution chart with respect to tangible components belonging to the area, with the first parameter being set as an axis of the frequency distribution chart is disclosed.

Abstract: In one embodiment, the invention is a method and apparatus for selecting voltage and frequency levels for use in at-speed testing. One embodiment of a method for selecting a set of test conditions with which to test an integrated circuit chip includes formulating a statistical optimization problem and obtaining a solution to the statistical optimization problem, where the solution is the set of test conditions.

Abstract: In some implementations, a computer-implemented method includes receiving a reading from a magnetometer of a mobile device. A cluster from a plurality of clusters of bias offsets generated from previously-calibrated readings is selected. The selected cluster has a representative bias offset, a mean of magnitudes in the selected cluster, and a magnitude threshold. An external magnetic field is estimated based on the reading and the representative bias offset for the selected cluster. Whether a magnitude of the estimated external field is within a magnitude range defined by the mean magnitude and the mean magnitude plus the magnitude threshold is determined.

Abstract: A method for visualizing data in a population of data includes steps of extracting a subject value from a population of data and defining points of interest in the population of data for comparison to the subject value, where the points of interest representing a scale having a minimum value and a maximum value. A target point of interest is selected. The scale is mapped to a graphic gauge display, wherein, points of interest are visually indicated on the graphic display, end points of the graphic gauge display correspond to the minimum value and the maximum value, and the target point of interest is visually indicated at a center of the graphic gauge display. Finally, the subject value is indicated on the graphic gauge display.

Abstract: A method and apparatus for performing accurate measurements of the magnetic properties of magnetic nanoparticles (MNPs) in both liquid media and biological matrices for providing information on their size, size distribution and concentration in these media and matrices and, resulting in parameters that influence their functionality and effectiveness.

Abstract: A method for optimum sensor layout for detecting an intruder may include selecting candidate sensor locations within a representation of an area of regard. The method may also include determining a sub-region of detection for each sensor based on a preset probability of detection of the intruder traversing a sub-region associated with each sensor. The method may additionally include determining each pair of sensors with overlapping sub-regions of detection and determining a lowest probability of detection for any path between each pair of sensors with overlapping sub-regions of detection. The method may further include determining an optimum layout of sensor locations or sensors from candidate sensor locations based on a path of the lowest probability of detection for any path between each pair of sensors with overlapping sub-regions of detection.

Abstract: A radiation analysis system/method that automatically optimizes the efficiency calibration of a counting system based on benchmark data and variable parameters associated with radiation source/sensor/environment (RSSE) combinations is disclosed. The system/method bifurcates RSSE context (SSEC) model parameters into WELL-KNOWN (fixed) parameters (WNP) and NOT-WELL-KNOWN (variable) parameters (NWP). The NWP have associated lower/upper limit values (LULV) and a shape distribution (LUSD) describing NWP characteristics. SSEC models are evaluated using randomized statistical NWP variations or by using smart routines that perform a focused search within the LULV/LUSD to generate model calibration values (MCV) and calibration uncertainty values (UCV) describing the overall SSEC efficiencies. Sensor measurements using the MCV/UCV generate a measurement value and uncertainty estimation value.

Abstract: An integrated scientific research environment includes a method and system of conducting a standardized, collaborative scientific research project. Researchers utilize the integrated scientific research environment to conduct experiments in which information is generated, analyzed, verified, and published in a distributed computing infrastructure that allows for multiple users to work together on experiments and scientific research projects. Multiple modules create a literature review and a research protocol, enable verification and analysis of experiment results, and prepare results for publication to add to existing knowledge in the field of the experiments conducted.

Abstract: A system, method, and computer program product are described for distinguishing between a computing system that is hung in a hang state and systems that are in an idle or otherwise non-hang state which do not need intervention before regaining the ability to adequately process work. According to some approaches, heuristics are employed to perform hang and idle system detection and validation. Data representative of systems resources are analyzed and transformed in order to identify systems that are in a hang state.

Abstract: A method of estimating background radiation in spectral data. The method may comprise, iteratively, fitting an analytical curve, such as a spline curve, to reference data, determining an allowable deviation of the reference data from the analytical curve and clipping data points of the reference data or the spectral data that are more than the allowable deviation above the analytical curve to provide the reference data for the next iteration until termination criterion is met. The reference data is initially based upon the spectral data. The method may comprise generating estimates of background radiation of the spectral data, each estimate based upon fitting a different order polynomial to the spectral data, and selecting an order of polynomial to use for estimating background radiation and/or one of the estimates of the background radiation. The method may further comprise estimating the noise in the spectral data from the reference data.

Abstract: A method of detecting variance by regression model has the following steps. Step 1 is preparing the FDC data and WAT data for analysis. Step 2 is figuring out what latent variable effect of WAT data by Factor Analysis Step 3 is utilizing Principal Component Analysis to reduce the number of FDC variables to a few independent principal components. Step 4 is demonstrating how the tools and FDC data affect WAT data by Analysis of covariance model, and constructing interrelationship among FDC, WAT and tools. The interrelationship can point out which parameter effect WAT significantly. By the method, when WAT abnormal situation happened, it is easier for engineers to trace where the problem is.

Abstract: A system for estimating a baseline of a signal exhibits a signal generator and a processor. The signal generator is configured to generate a signal exhibiting a plurality of peaks and a baseline. The processor is configured to perform operations including determining an estimator indicating at least one region of the signal that exhibits a peak, determining a weight indicating at least one region of the signal that does not exhibit a peak based on the estimator, and estimating the baseline of the signal based on at least the determined weight.

Abstract: In accordance with one embodiment, a system is provided that uses historical and current energy usage data generated by advanced metering infrastructure (AMI) meters to allow users conduct an analysis of energy usage via a portal. In accordance with one embodiment, a tool is provided to allow customers to display an estimated next month bill.

Abstract: A apparatus and method for detecting electromagnetic changes in the environment using electronic sensors is disclosed. The apparatus and method may be utilized in various environments including for electronic entertainment devices with interactive controls, and for interior design, lighting and illumination. The detection process consists of two stages. First, a sequence of pulses is generated with no predetermined duration at a given time interval, where the average frequency is determined by the frequency characteristics of the shaping amplifiers. This pulse sequence is converted into a sequence of numerical values and statistically analyzed. Data obtained can form the control signals for color components of light emitting devices as well as being displayed on linear scales. By adjusting the detection sensitivity, and by utilizing various embodiments of the sensor, the apparatus and method may form the basis for a range of useful products.

Abstract: A system with multiple sensors is managed to determine which sensors to utilize when forming an estimate of the system state. A list of active sensor subsets is formed from multiple sensors. The list of active sensor subsets is represented by a list of differing vectors with indices enumerating the sensors of each sensor subset. Noise is filtered from a measurement of each sensor. State and covariance for each sensor of the multiple sensors is estimated based on prior measurements. A quality of service (QoS) metric is calculated for each sensor subset based on the estimated sensor state. The QoS metric is recorded in a QoS vector and the list of active sensors subsets is updated with the sensor subsets that have a QoS metric above a QoS threshold. The state and covariance estimates are combined to form the estimates of the system state and covariance.

Abstract: Apparatus, method, system and kit for receiving a plurality of continuous analyte sensor values for corresponding reference analyte values, calculating a rate of change value for the continuous analyte sensor values, defining a plurality of data range windows of the reference analyte values, evaluating the corresponding continuous analyte sensor values, the rate of change values, the reference analyte values, and/or a plurality of corresponding difference values for the plurality of data range windows, and determining a best fit based on the evaluation of the plurality of data range windows are provided.

Abstract: An embodiment of an apparatus includes a first component determiner configured to determine a component of a first signal, a second component determiner configured to determine a component of a second signal, and an interpolator configured to interpolate a portion of the second signal in response to the components of the first and second signals. For example, such an apparatus may include an altitude-component determiner, a lapse-rate-component determiner, and an interpolator. The altitude-component determiner is configured to determine an altitude component of a first signal, and the lapse-rate-component determiner is configured to determine a lapse-rate component of a second signal having an empty portion. And the interpolator is configured to interpolate an altitude component of the second signal in response to the altitude component of the first signal, and to interpolate the empty portion of the second signal in response to the lapse-rate and altitude components of the second signal.

Abstract: A method and a device for determining a statistical parameter for all frequencies of a frequency distribution of signal levels of a test signal registered respectively in several observation intervals counts the frequency of the signal level of the test signal measured in each case within the respective signal-level range and at the respective value of the time or frequency raster of the frequency distribution from new within every observation interval, and buffers it for display on a display device. After every observation interval, for every signal-level range and every value of the time or frequency raster of the frequency distribution, the respective statistical parameter from the respective, newly-buffered frequency and all respective frequencies measured and buffered at earlier observation intervals is determined and buffered.

Abstract: A sensor error detection and compensation system is disclosed. The system may have a sensor state estimation module that is configured to generate a physical sensor confidence value representing an accuracy estimation of a physical sensor output value received from a physical sensor. The system may also have a sensor output aggregation module configured to determine an aggregated sensor value based on the physical sensor confidence value, the physical sensor output value, a virtual sensor output value received from a virtual sensor, and a virtual sensor confidence value representing an accuracy estimation of the virtual sensor output value. Moreover, the system may have a replace sensor decision module configured to determine whether the physical sensor has failed by comparing the physical sensor confidence value to a replacement threshold level.

Abstract: Automatically setting a new threshold for a computer metric by detecting a first threshold for the computer metric, continuously taking measurements of the value of the computer metric at a predetermined rate, calculating the average of the measurements of the value of the computer metric over a predetermined time period, and calculating a second threshold for the computer metric based on the average of the values of the measurements. Calculating the second threshold may comprise establishing a base value for the threshold, establishing a maximum deviation of the threshold, and determining the average of the value of the measurements with respect to the base value and the maximum deviation.

Abstract: A method and apparatus are disclosed for identifying anomalies of a signal, by analyzing a signal using a frequency-based technique, analyzing results of the frequency-based analysis using a statistical analysis technique, determining one or more limits based on the statistical analysis, and comparing a frequency domain representation of the signal to the limits to identify anomalies of the signal.

Abstract: An improved fault detection system and method is provided. The fault detection system and method combines the use of discrimination and representation based feature extraction to reliably detect symptoms of faults in turbine engines. Specifically, the fault detection system and method uses a kernel-based Maximum Representation Discrimination Features (MRDF) technique to detect symptoms of fault in turbine engines. The kernel-based MRDF system and method combines the use of discriminatory features and representation features in historical sensor data to facilitate feature extraction and classification of new sensor data as indicative fault in the turbine engine. Furthermore, the kernel-based MRDF technique facilitates the uncovering of nonlinear features in the sensor data, thus improving the reliability of the fault detection.

Abstract: Systems and methods for obtaining fluorochrome abundance information by unmixing fluorescence emission data captured by a flow cytometer in accordance with embodiments of the invention are disclosed. In one embodiment, a data analysis system includes a processor, a memory, and an optical data analysis application, wherein the optical data analysis application configures the processor to obtain control optical data, generate a mixing model using the obtained control optical data and a system of linear combinations, obtain experimental optical data for particles stained with a set of fluorochromes, and estimate abundances of the fluorochromes in the set of fluorochromes using the obtained experimental optical data by solving a system of equations to unmix the optical data, where the number of equations is larger than the number of unknowns, based upon the generated mixing model using an unmixing process that accounts for increased noise variance with increased fluorochrome abundance.

Abstract: In one embodiment, a system for generating a statistical analysis output is disclosed. The system receives and processes input from a user to perform statistical analysis and generate an output. The input includes at least one statistical variable from a plurality of statistical variables in a dataset, statistical modules adopted for analysis, and output formats.

Abstract: For supporting a relative positioning, information on barometric pressure at a first device and information on barometric pressure at a second device is converted into a difference in altitude between the first device and the second device. The difference in altitude between the first device and the second device is then used in determining a position of the first device relative to the second device.

Abstract: Clustering of nominal attributes using a nominal population metric enables comparisons of entities which are not easily comparable. In some embodiments, nominal population metrics are determined using a similarity matrix and a nominal population matrix using comparisons. In some embodiments, nominal population metrics are determined using a nominal population matrix using distributions. A computing device is able to determine the nominal population metrics with the appropriate hardware and applications configured for computing the nominal population metrics.

Abstract: Methods to attenuating strong marine seismic noises using singular value decomposition, determining noisiest traces and estimating noise components only from these traces, iteratively estimating the noise and protecting signal behind the noise. It is submitted with the understanding that it will not be used to interpret or limit the scope or meaning of the claims. 37 CFR 1.72(b).

Abstract: A method for determining measurement uncertainty of measured values of a network analyzer. For every measured value of a respectively-selected measurement type, the measurement uncertainty is calculated in an internal computer of the network analyzer according to modulus and/or phase and displayed together with the respective measured value. Data required for this computation, which result directly from properties and an operating mode of the network analyzer, are stored in databanks allocated to the internal computer and are therefore directly accessible to the internal computer, and only data from additionally-used measurement resources, which differ from the data already stored in the databanks, are entered externally into the databanks, where they are set off against the originally-stored data and included as new data in the calculation of the measurement uncertainty.

Abstract: A specific emitter identification (SEI) method and apparatus is capable of identifying and tracking objects within a geographical area of interest wherein the system and method has not been preprogrammed to look for particular signals. The system and method receives all of the emitted electromagnetic signals emitted from area of interest. The system and method next performs high order statistical analysis on the received signals and determines which signals emanate from possible targets of interest and which likely emanate from background clutter/noise by comparing the relative degrees of Gaussianness of the signals (for example using entropy measurements). The least Gaussian signals are deemed to likely be signals from potential targets of interest while those which are more Gaussian are deemed to be likely from background clutter or noise.

Abstract: Methods and systems for detecting aberrant behavior in time-series observation data, such as non-existent domain data, are disclosed. The methods and systems analyze the time-series observation data to determine time-series prediction data. The time-series observation data and time-series prediction data are used to determine a threshold that is based on the standard deviation of deviation values between the time-series observation data and time-series prediction data. The threshold may be used to detect aberrant behavior in subsequently obtained time-series observation data.

Abstract: Method for mapping capped cylindrical environments. The method uses an algorithm for creating an environment map through 3D data segmentation and fitting of right planar capped cylinders. The algorithm implementing the method of the invention offers improved robustness, accuracy and speed over existing segmentation and fitting methods. The improved properties of the invention are achieved through the use of a Gauss map, 3D histogram and shape knowledge driven segmentation. Performance was demonstrated on a variety of cylinders using simulated data.

Abstract: A method for quantifying peaks in an analytical signal, peaks in the analytical signal being quantified by recording successive signal values and applying a peak analysis methodology to the recorded successive signal values within an interval to obtain a set of peak quantification results. Before the same peak analysis methodology is applied to the modified signal to quantify the peaks in the signal, random noise is added to the analytical signal and/or the signal is shifted within the interval to facilitate optimization of the parameters of the peak analysis methodology and to improve the robustness of the method in runtime applications. A subsequent statistical evaluation of the peak quantification results from the multiple repeated peak analyses of the original and modified signals is used to detect an occurrence of and to reduce the chance of a possible error in the peak quantification that needs to be alarmed or addressed.

Abstract: In a computing system environment, a data recipient manages entropy data supplied from an external data source despite not knowing or being certain about their trustworthiness or if such varies over time. Features relate to scoring the data and determining whether it meets or exceeds a predetermined policy score. One or more initial or updated reputation values of the data source are contemplated and used for scoring. Logging of the scoring, reputation values or other matters is provided for historical purposes and to identify possible future corrective actions. Other embodiments contemplate enhancing the score of the entropy data. In some instances, use of less than all the data by the recipient occurs to increase attack-resistance. Whether such occurs or how much occurs remains substantially unbeknownst to all parties other than the data recipient. Still other embodiments contemplate computer-readable media.

Abstract: Methods of determining three-dimensional perceived softness of baby care products based on assessed parameters of the products, for use in the design of new baby care products or changes in their raw materials.

Abstract: The present invention discloses a system and method for detecting the spectra of unknown components in the spectrum of a mixture and/or for verifying the presence of suspected components in the spectrum of a mixture. The system and method involves using the algorithm to perform a regression that includes the target and known spectra in a mixture, calculating a residual where the coefficient for the target spectrum is zero, called the extracted spectrum, and comparing the extracted spectrum and the target spectrum. The system and method may be used with chemometrics algorithms, multiple known spectra, and/or multiple target spectra.

Abstract: Disclosed are systems and methods for prognostic health management (PHM) of electronic systems. Such systems and methods present challenges traditionally viewed as either insurmountable or otherwise not worth the cost of pursuit. The systems and methods are directed to the health monitoring and failure prediction of electronic systems, including the diagnostic methods employed to assess current health state and prognostic methods for the prediction of electronic system failures and remaining useful life. The disclosed methodologies include three techniques: (1) use of existing electronic systems data (circuit as a sensor); (2) use of available external measurements as condition indicators and degradation assessor; and (3) performance assessment metrics derived from available external measurements.

Abstract: Provided is a method and apparatus for measuring efficiency of an optical device. In the method, a power of emission light from the optical device is calculated by irradiating an excitation stimulus on the optical device. A power of a reference excitation stimulus at which a variation of recombination coefficients in a quantum well of the optical device with respect to a variation of carrier concentration in the quantum well of the optical device becomes minimum is extracted. An internal quantum efficiency of the optical device at the power of the reference excitation stimulus is calculated. An internal quantum efficiency of the optical device at powers of various excitation stimuli is calculated from the internal quantum efficiency of the optical device at the power of the reference excitation stimulus.

Abstract: A method for adjusting an isotropic depth image based on a mis-tie volume is provided. The method generally includes obtaining an isotropic velocity volume for a geophysical volume, obtaining an isotropic depth image of the geophysical volume, obtaining time-depth pairs at downhole locations in the geophysical volume, generating mis-tie values based on the time-depth pairs and the isotropic velocity volume, assigning uncertainties to the mis-tie values, generating a smoothest mis-tie volume that satisfies a target goodness of fit with the mis-tie values. Adjustment of the isotropic depth image may be achieved based on the mis-tie volume or a calibration velocity obtained from the mis-tie volume.

Abstract: A semiconductor device failure analysis method and apparatus and a computer program for the method and apparatus are provided. The method includes: an observation image acquisition process of acquiring a voltage contrast image by charging an exposed conductive layer of a semiconductor device and irradiating the exposed conductive layer with charged particles; a wiring search process of searching for end points connected to the conductive layer based on design data; and a determination process of comparing voltage contrasts of three levels or more set in advance, one of which is set for a wiring depending on a state of an end point of the wiring, with the voltage contrast image acquired in the observation image acquisition process to determine consistency/inconsistency. Since three or more levels are set, for example, a short-circuit formed by a conductive layer connected to a transistor diffusion layer and another wiring can be identified.

Abstract: A measurement instrument having a processor, a first sensor and a second sensor. The processor is adapted to output a measurement signal embodying a measurement of a physical quantity. The first sensor and second sensor are connected to the processor and are operable to generate respectively first and second measurements of the physical quantity. The processor defines a first measurement range within which the measurement signal is dependent on the first measurement and not the second measurement. The processor defines a second measurement range within which the measurement signal is dependent on the second measurement and not the first measurement. The first and second ranges meet at a predetermined transition. The first and second measurements are different at the transition and the measurement embodied in the measurement signal crosses the transition without an abrupt change.