Abstract: Methods and systems to detect steady-state operations in a process of a process plant include collecting process data. The collected process data is generated from a plurality of process variables of the process. A multivariate statistical model of the operation of the process is generated using the process data. The multivariate statistical model may be generated from a principal component analysis. The model is executed to generate outputs corresponding to the most significant variations in the process. Statistical measures of the outputs are generated and used to determine whether a steady-state or unsteady-state is related to the process.

Abstract: A system and method of monitoring and diagnosing on-line multivariate process variable data in a process plant, where the multivariate process data comprises a plurality of process variables each having a plurality of observations, includes collecting on-line process data from a process control system within the process plant when the process is on-line, where the collected on-line process data comprises a plurality of observations of a plurality of process variables and where the plurality of observations of the set of collected process data comprises a first data space having a plurality of dimensions, performing a multivariate statistical analysis to represent the operation of the process based on a set of collected on-line process data comprising a measure of the operation of the process when the process is on-line within a second data space having fewer dimensions than the first data space, performing a univariate analysis to represent the operation of the process as a multivariate projection of the on-l

Abstract: Method and apparatus for improved processing for multi-channel signals. In an exemplary embodiment, an anomaly metric is computed for a multi-channel signal over a time window. The magnitude of the anomaly metric may be used to determine whether an anomaly is present in the multi-channel signal over the time window. In an exemplary embodiment, the anomaly metric may be a condition number associated with the singular values of the multi-channel signal over the time window, as further adjusted by the number of channels to produce a data condition number. Applications of the anomaly metric computation include the scrubbing of signal archives for epileptic seizure detection/prediction/counter-prediction algorithm training, pre-processing of multi-channel signals for real-time monitoring of bio-systems, and boot-up and/or adaptive self-checking of such systems during normal operation.

Abstract: Multi-dimensional models are discriminated, or distinguished, based on difference distribution histograms. One or more models having multiple attributes are received. Each model includes at least one non-spatial attribute, such as a physical, chemical, and/or dynamic attribute. A sampling function is selected and applied to the received models to generate difference distribution histograms that represent the models. Once multiple difference distribution histograms have been generated, two or more histograms are compared by applying a distribution test function to the histograms. Based on the comparison, the similarity of the models represented by the histograms may be determined.

Abstract: Methods and systems are provided for the deconvolution of the NMR spectrum of a mixture into individual components and spin systems by combining covariance total correlation spectroscopy (TOCSY) spectra with covariance NMR. The method may include obtaining a 2D TOCSY spectra of a chemical mixture and then performing a series of analytical steps to identify the individual components of the mixture.

Abstract: The configuration and utilization of multiple memories is disclosed to efficiently gather histogram data for either multiple devices or single devices. Each memory can be configured depending on the number of ADCs to be tested. Rather than utilizing a separate histogram engine for each ADC, or duplicate memories to test each ADC, the memory of each histogram engine can be used either for a single ADC having a large or otherwise substantial sample width, or for multiple ADCs, each having a smaller sample width. To accomplish this, the memory is partitioned into multiple segments using address decoding such that a single ADC can use all of the segments for histogram data collection, while multiple ADCs can each use one of the segments for histogram data collection.

Abstract: When an energy of a particle emitted from a radioisotope source is obtained by a detector, a histogram obtained from a relationship between a difference ?E between an energy of a particle emitted outside the radioisotope source and an initial energy which the particle possesses at the time of generation and a count is treated as being asymmetric, and an energy distribution (L1) of the particle emitted outside the radioisotope source is obtained, thereby allowing an energy calibration of a radiation detector, absolute quantitation and resolution measurement to be performed with accuracy.

Abstract: A method of determining a parameter of an object using penetrating radiation such as X-rays. The parameter of the object could be weight or mass or volume. The method comprises the step of passing the penetrating radiation through the object; determining a first value derived from the total energy of penetrating radiation absorbed by the object; determining a second value related to the mean energy per unit area of penetrating radiation absorbed by the object and determining the parameter from the first and second values. An algorithm representing a proportionality relationship is derived from the first and second value. The parameter is determined by establishing an exponential relationship to an amount derived from the algorithm.

Abstract: Some embodiments of the present invention provide a system that generates a simulated vibration pattern in a computer subsystem. During operation, a vibration pattern is monitored at a location in the computer subsystem, wherein the vibration pattern is monitored while the computer subsystem is incorporated into the computer system and the computer system is operating. Then, the vibrations of the computer subsystem are mimicked by generating the simulated vibration pattern at the same location in the computer subsystem based on the monitored vibration pattern.

Abstract: A signal measuring apparatus that measures a first input signal and a second input signal is provided, including a first measuring section that measures the first input signal at a plurality of strobe timings arranged in each cycle of a measurement cycle, a second measuring section that measures the second input signal at a plurality of strobe timings arranged in each cycle of a measurement cycle, a phase difference calculating section that calculates phase differences between the first input signal and the second input signal in each measurement cycle based on measurement results from the first measuring section and the second measuring section, and a distribution generating section that generates distribution information of the phase differences calculated in each measurement cycle by the phase difference calculating section.

Abstract: Interesting location identification embodiments are presented that generally involve identifying and providing the interesting locations found in a given geospatial region. This is accomplished by modeling the location histories of multiple individuals who traveled through the region of interest, and identifying interesting locations in the region based on the number of individuals visiting a location weighted in terms of the travel experience of those individuals. A prescribed number of the top most interesting locations in a specified region can be provided upon request. In addition, prescribed numbers of the top most popular travel sequences through the interesting locations and the top most experienced travelers in the specified region can be provided as well.

Abstract: A method, system and computer program product for a database management system to be operatively coupled to a data processing system. The data processing system includes memory for storing a data table. The method, system and computer program product for determining frequency of updating a histogram of the data table. The method includes determining sampled histograms for sample portions of the data table from time to time, computing a difference between at least two of the determined sampled histograms, and determining a frequency with which to update the histogram of the data table depending on the amount of the computed difference.

Abstract: An adaptive algorithm is implemented that optimizes the slicer threshold by optimizing the tail distribution of a “+1” and “?1” histogram. Through the use of a low resolution and under-sampled ADC, a histogram of received bit may be created. The difference between the y-intersects of lines derived from the “+1” and “?1” histogram is used to determine an error function. The algorithm iteratively updates the threshold value based on this error function.

Abstract: An apparatus and method are disclosed for a measurement system that reports as a measurement result a confidence interval associated with a histogram bin into which a measurement value falls. The confidence interval is calculated from a subset of training values that also fall within the histogram bin. A training process may be performed in which a plurality of training values is obtained and a mean and standard deviation of the values determined. A plurality of histogram bins are defined from the mean and standard deviation and, for the subsets of training values that fall into each bin, confidence intervals calculated. A need to perform the training process may be determined from a plurality of measured values.

Abstract: A method to predict remaining life of a target is disclosed. The method includes receiving information regarding a behavior of the target, and identifying from a database at least one piece of equipment having similarities to the target. The method further includes retrieving from the database data prior to an end of the equipment useful life, the data having a relationship to the behavior, evaluating a similarity of the relationship, predicting the remaining life of the target based upon the similarity, and generating a signal corresponding to the predicted remaining equipment life.

Abstract: A number of modified lateral DMOS (LDMOS) transistor arrays are formed and tested to determine if a measured value, such as a series on-resistance, substrate current, breakdown voltage, and reliability, satisfies process alignment requirements. The modified LDMOS transistor arrays are similar to standard LDMOS transistor arrays such that the results of the modified LDMOS transistor arrays can be used to predict the results of the standard LDMOS transistor arrays.

Abstract: A method for updating the return on investment (ROI) templates used by business consultants. The present invention comprises a Template Evaluation Program (TEP) and a Template Analysis Program (TAP). The TEP compares the default template to the templates modified by the consultants for the customer's ROI analysis and assigns an effectiveness factor to the modified templates. The TAP develops a data list from the default templates and the effectiveness factors and plots the data on a histogram. The TAP performs a statistical analysis for each parameter and updates the default template parameter values if the data fits a normal distribution curve. If the data forms more than one peak on the histogram, then the TAP uses one peak to update the default template and uses the second peak to create a new template. The new template's parameter value is derived from the data in the second peak.

Abstract: A method and apparatus for creating a bivariate histogram with a plurality of variables using impulse noise data is disclosed. The bivariate histogram describes the joint statistics between at least two of the variables. Also disclosed is an impulse noise monitor (INM) in communication with an impulse noise sensor (INS). The INM receives error data from the INS and creates a bivariate histogram with a plurality of variables using the error data. Included is a method for providing a bivariate histogram with an impulse noise length (IL) and an impulse noise inter-arrival time (IAT) for a plurality of impulse noise events. The IL and the IAT are each measured in integer multiples of discrete multi-tone symbols, and the bivariate histogram is used to determine a minimum impulse noise protection.

Abstract: A strategy is described for identifying anomalies in time-series data. The strategy involves dividing the time-series data into a plurality of collected data segments and then using a modeling technique to fit local models to the collected data segments. Large deviations of the time-series data from the local models are indicative of anomalies. In one approach, the modeling technique can use an absolute value (L1) measure of error value for all of the collected data segments. In another approach, the modeling technique can use the L1 measure for only those portions of the time-series data that are projected to be anomalous. The modeling technique can use a squared-term (L2) measure of error value for normal portions of the time-series data. In another approach, the modeling technique can use an iterative expectation-maximization strategy in applying the L1 and L2 measures.

Abstract: A process monitoring method that aggregates monitoring devices and optionally sensors into one or more groups that are each related to a process of a utility system. The monitoring devices are organized into a monitoring system hierarchy manually or automatically. A process algorithm determines from the hierarchy which monitoring devices are connected to a load. Monitored data from load-connected monitoring device pairs are correlated to produce a correlation coefficient that is compared against a correlation threshold selected between 0 and 1. When the correlation coefficient exceeds the threshold, the device pair is grouped into a process group. Other device pairs exceeding the threshold are likewise grouped into the process group. Multiple processes may be determined with the process algorithm. Sensors may also be grouped manually with the process group containing monitoring devices, which may include virtual monitoring devices.

Abstract: Histograms formed based on samples of a population, such as histograms created from random page-level samples of a data store, are intelligently scaled to histograms estimating distribution of the entire population of the data store. As an optional optimization, where a threshold number of duplicate samples are observed during page-level sampling, the number of distinct values in the overall population data is presumed to be the number of distinct values in the sample data. Also, during estimation of distinct values of an overall population, a “Chao” estimator can optionally be utilized as a lower bound of the estimate. The resulting estimate is then used when scaling, which can take domain knowledge of the data being scaled into account in order to prevent scaled estimates from exceeding the limits of the domain.

Abstract: A method for creating a histogram from a plurality of data elements that includes specifying a plurality of internal buckets, wherein each internal bucket of the plurality of internal buckets represent values between an internal minimum value and an internal maximum value, wherein a plurality of differences of the internal minimum value and the internal maximum value of each internal bucket are heterogeneous, populating the plurality of internal buckets with the plurality of data elements based on the internal minimum value and the internal maximum value of each internal bucket to obtain a plurality of populated internal buckets, and outputting the histogram from the plurality of populated internal buckets.

Abstract: Systems and methods are provided for controlling privacy loss associated with database participation. In general, privacy loss can be evaluated based on information available to a hypothetical adversary with access to a database under two scenarios: a first scenario in which the database does not contain data about a particular privacy principal, and a second scenario in which the database does contain data about the privacy principal. Such evaluation can be made for example by a mechanism for determining sensitivity of at least one database query output to addition to the database of data associated with a privacy principal. An appropriate noise distribution can be calculated based on the sensitivity measurement and optionally a privacy parameter. A noise value is selected from the distribution and added to query outputs.

Abstract: Systems, methods, and computer program products are provided for describing characteristics of a data sample. This description is used to represent the shape of a histogram of the data sample.

Abstract: A method monitors a performance of an all-optical network by acquiring data from the network in a form of histograms. A dimensionality of the histograms is reduced by fitting Gaussian mixture models to the histograms to produce corresponding 4-dimensional quadruples (?0,?1,?0,?1), wherein ?i is a mean, and ?i, is a standard deviation of each Gaussian mixture model for zero and one bits as indicated in the subscripts i. Regression analysis is applied to features extracted the 4-dimensional quadruples to determine a noise level and a chromatic dispersion level of the all-optical network.

Abstract: Dispersive array acoustic data are acquired. A histogram is determined from the semblance-frequency coherence of the data. The low frequency limit of the data is estimated by matching the statistics of the histogram to the statistics of a modeling function.

Abstract: A method is provided for constructing a histogram to represent the root-mean-squared phase differences for a signal received at pairs of elements in an array. A pair-wise element phase difference (“PEP”) between a signal received at an angle of arrival ?1 and a signal received at an angle of arrival ?2 are determined. The difference ?? between the differential phase measurements at ?1 and ?2 is computed. The process is repeated for all unique pairs of angles (?1, ?2) from 0 to 359 degrees and the results are summed over all PEPs to calculate the root mean squared phase difference ?{square root over (??2(?1,?2))} between two different angles of arrival ?1 and ?2. A two-dimensional histogram is created by pairing the measurements ?{square root over (??2)} and ??, where ??=?2??1.

Abstract: A system and circuit for determining data signal jitter via asynchronous sampling provides a low cost and production-integrable mechanism for measuring data signal jitter. The data signal is edge-detected and sampled by a sampling clock of unrelated frequency the sampled values are collected in a histogram according to a folding of the samples around a timebase. The timebase is determined by sweeping to detect a minimum jitter for the folded data. The histogram for the correct estimated timebase period is representative of the probability density function of the location of data signal edges and the jitter characteristics are determined by the width and shape of the density function peaks. Frequency drift can be corrected by adjusting the timebase used to fold the data across the sample set.

Abstract: A method and system for determining histogram density estimators for data samples. A supremum and/or infimum of a likelihood function of histogram densities for each histogram shape in a generated set of all possible histogram shapes is determined.

Abstract: A system that determines the performance of an integrated circuit (IC). During operation, the system receives probability distributions for parameters for the IC. Next, the system generates samples of the IC, wherein generating a given sample involves using the probability distribution to assign values to the parameters for components within the IC. The system then calculates output performance metrics for the samples based on the assigned values of the parameters, and uses the calculated output performance metrics to generate a distribution of output performance metrics for the samples.

Abstract: A simulation that integrates historical data and real-time data as a test or simulation tool can capture an entry that relates to a desired output as function points. A determination can intellectually be made as to which activities can achieve the desired output. The activities can be process steps that can represent a workflow that can be automatically implemented by an MES Appliance or other enterprise components. If a simulation reveals that the desired output might not be achieved, a change to one or more function points can be analyzed in an attempt to achieve the desired result. This change can be input into a simulation tool through a feedback loop, for example. Another simulation can performed on the modified data until a determination is made that the desired output can be achieved.

Abstract: The present disclosure relates to signal processing and, more particularly, relates to determining the slope of a signal. In embodiments, first slopes between a first point in the signal and other points in the signal may be determined. Second slopes between a second point in the signal and other points in the signal may also be determined. The first and second slopes may be used to generate a histogram, and a desired slope may be selected from the preferred value of the histogram. In an embodiment, a two-dimensional Lissajous figure may be selected from a three-dimensional Lissajous figure and a histogram of the slopes within the selected Lissajous figure may be created to determine the desired slope. The desired slope may have clinical relevance (e.g., it may be used to determine a patient's blood oxygen saturation level). The three-dimensional Lissajous figure may be derived at least in part from surface signals related to two transform-surfaces.

Abstract: Analysis may be made of the amount that a load on a machine impacts the machine's performance. Performance counters on the machine record raw statistical data, such as a given resource's current utilization. The values of these counters may be captured. A n-bin histogram may be created that shows how many of the captured performance counter values occur within various ranges, such as 0-10% utilization, 10-20%, etc. A weight may be assigned to each bin. A weighted sum of the bins may be calculated by multiplying the number of occurrences in each bin by the bin's weight, and adding the products together. The weights may be chosen to reflect the relative amounts that particular performance counter values impact the overall performance of a machine. Thus, a metric that represents performance impact may be calculated based on the weighted sum.

Abstract: The present teachings relate to a method of filtering mass spectrometer data using a variable filter window. The width of the window can depend on the mass itself and the mass defects for a family of compounds. The teachings can be used with a plurality of compounds including but not limited to peptides and can be utilized on a brood range of mass spectrometers.

Abstract: A system, method, and floating intelligent perimeter sensor, provide protection for waterways and critical infrastructures. The system and method utilize one or more floating intelligent perimeter sensors to detect, and in some cases identify, hazardous materials associated with vessels in the waterways. The hazardous materials detected, and optionally identified, can include radiological materials, fissile materials, explosives, chemicals and biological materials (CBRNE). A set of radiation data associated with a radiation source in a vessel is received from the one or more floating intelligent perimeter sensors. At least one histogram is generated based on the set of radiation data. The at least one histogram is compared to multiple spectral images associated with known materials. The at least one histogram is determined to substantially match at least one of the multiple spectral images. A determination is made whether a material associated with the radiation source is a hazardous material.

Abstract: Some embodiments of the present invention provide a system that determines a center of rotation for a component in a computer system. During operation, the system measures a first acceleration of a first location on the component and a second acceleration of a second location on the component, wherein the first location and the second location are separated by a predetermined distance. Then, the system determines the center of rotation using the first acceleration, the second acceleration, and the predetermined distance.

Abstract: A definition of a set of context variables to be considered is received, wherein the context variables represent categories of situations in which the computer system can be. A definition of a set of activities to be considered is also received, wherein the activities represent activities that can be performed using the computer system. For each context variable to be considered, a definition of a set of states to be considered is received, wherein the states represent situations in which the computer system can be. For each context variable to be considered, a specification of first probability distributions for each corresponding state is received. For each context variable to be considered, for each activity to be considered, a specification of second probability distributions to represent the likelihood of the activity being performed in the corresponding context is received. Usage data is generated using the first second probability distributions.

Abstract: A method for improving the measurement capability of multi-parameter inspection systems includes performing a measuring procedure to acquire a measured signature of a sample, calculating weighting factors representing a correlation between structural parameters of the sample by using a weighting algorithm, transforming the weighting factors into a sampling function by using a transforming rule, updating the measured signature to form an updated measured signature and generating a plurality of updated nominal signatures according to the sampling function, and comparing the updated measured signature and the updated nominal signatures to determine the structural parameters of the sample.

Abstract: A method for updating the return on investment (ROI) templates used by business consultants. The present invention comprises a Template Evaluation Program (TEP) and a Template Analysis Program (TAP). The TEP compares the default template to the templates modified by the consultants for the customer's ROI analysis and assigns an effectiveness factor to the modified templates. The TAP develops a data list from the default templates and the effectiveness factors and plots the data on a histogram. The TAP performs a statistical analysis for each parameter and updates the default template parameter values if the data fits a normal distribution curve. If the data forms more than one peak on the histogram, then the TAP uses one peak to update the default template and uses the second peak to create a new template. The new template's parameter value is derived from the data in the second peak.

Abstract: A method and system for determining histograms and histogram appearances from small data samples. The method and system determine relevant histogram appearances (i.e., bin frequency lists) for uniform bin width sample histograms, exactly determine error minimizing histogram density estimators and determine histogram appearance reversals and mode inversions.

Abstract: A system, method, and mobile vehicle, identify materials associated with radiation that has been detected. A set of radiation data associated with radiation from at least one radiation source is received from a set of radiation sensors mechanically coupled to the mobile vehicle. At least one histogram is generated based on the set of radiation data. The at least one histogram represents a spectral image of radiation from the radiation source. The at least one histogram is compared to multiple spectral images associated with known materials. The at least one histogram is determined to substantially match at least one of the multiple spectral images. A determination is made as to whether the material is a hazardous material. Personnel are notified that the at least one radiation source is a hazardous material in response to determining that the material associated with the at least one of the multiple spectral images is a hazardous material.

Abstract: A signal measuring apparatus that measures a first input signal and a second input signal is provided, including a first measuring section that measures the first input signal at a plurality of strobe timings arranged in each cycle of a measurement cycle, a second measuring section that measures the second input signal at a plurality of strobe timings arranged in each cycle of a measurement cycle, a phase difference calculating section that calculates phase differences between the first input signal and the second input signal in each measurement cycle based on measurement results from the first measuring section and the second measuring section, and a distribution generating section that generates distribution information of the phase differences calculated in each measurement cycle by the phase difference calculating section.

Abstract: A method for discriminating particle groups comprises generating, by a particle analyzer, a particle characteristic distribution histogram in which the abscissa indicates respective channels for representing the characteristics of the particles, and the ordinate indicates the particle count; setting a valid area selection height in the particle characteristics distribution histogram; and generating an equivalent negative histogram based on the set height and the particle characteristic distribution histogram.

Abstract: A performance monitor device includes an input unit to input both of address information and event occurrence information, an address mask unit to determine an address area to which each piece of the inputted address information belongs, an execution frequency counter to count a number of times of execution of programs in the address areas, an execution frequency holding unit to hold a counting result of the number of times of execution, an event occurrence information counter to count the event occurrence information corresponding to the address areas having the counting result of the number of times of execution included within a predetermined number of highest ranks, a holding unit to hold a counting results of the event occurrence information, and a storing unit to store the counting result of the event occurrence information corresponding to the address area having the highest number of times of execution in predetermined periods.

Abstract: A method for monitoring a system includes receiving a set of training data. A Gaussian mixture model is defined to model a probability distribution for a particular sensor of the system from among a plurality of sensors of the system based on the received training data. The Gaussian mixture model includes a sum of k mixture components, where k is a positive integer. Sensor data is received from the plurality of sensors of the system. An expectation-maximization technique is performed to estimate an expected value for the particular sensor based on the defined Gaussian mixture model and the received sensor data from the plurality of sensors.

Abstract: An automatic meter reading (AMR) system and a method of operating an AMR system are disclosed. The AMR system stores and transfers consumptive data, demand data, and data archives. The system and method can also provide a demand reset to reduce or eliminate the need to physically visit a remote endpoint device, for example a residential utility meter, to directly connect to the endpoint device for the collection of data. The system and method provide two-way wireless communication between at least one reader and a plurality of remote endpoint devices and are adapted for use with mobile readers. The AMR system and method therefore provide efficient and reliable storage and transfer of data, including high volumes of data, at mobile read rates.

Abstract: Methods and apparatus, including computer program products, implementing and using techniques for reducing the power consumption of a microprocessor. One or more signal transitions in an instruction set of a microprocessor are profiled. A probability of occurrence is assigned to each instruction in the instruction set. A binary operation code is assigned to each instruction, based on the probability of occurrence for the instruction. The instructions having the highest probability of occurrence are assigned operation codes that require fewer signal transitions. As a result, the power consumption of the microprocessor is reduced.

Abstract: Systems, methods and program products for computing frequent value statistics such as frequent values in a column in a partitioned relational database, that may be employed across a number of nodes of a partitioned relational database and a case where a column is the single partitioning key of the database table as well as the case where the column is not the single partitioning key of the database table. The technique involves hashing column entries to a hash data set on a node, collecting the hash entries into another hash data set on a coordinating node into a combined hash data set, hashing entries from a table portion residing on the coordinating node into the combined hash data set and computing frequent value from the combined hash data set. Each hash data set is an array of counts and the combined hash data set is a combined array of counts.

Abstract: Disclosed are method and apparatus for calculating a quantile estimate of a data stream. A quantile estimate is calculated iteratively by calculating a first quantile estimate and then calculating a second quantile estimate by adding a first update increment to the first estimate. A first observation sample is acquired. A first quantile estimate and a first standard deviation estimate are set to the sample quantile and the sample standard deviation of the first observation sample. A second observation sample is then acquired. A second standard deviation estimate is calculated based at least in part on the first standard deviation estimate and the sample standard deviation of the second observation sample. A first update increment is calculated based at least in part on the second observation sample and based at least in part on the product of the second standard deviation estimate times a log odds ratio function.

Abstract: Methods, systems and program products are disclosed for determining whether a measurement system under test (MSUT) matches a fleet including at least one other measurement system. The invention implements realistic parameters for analyzing a matching problem including single tool precision, tool-to-tool non-linearities and tool-to-tool offsets. A bottom-line tool matching precision metric that combines these parameters into a single value is then implemented. The invention also includes methods for determining a root cause issue of a matching problem, and for determining a fleet measurement precision metric. Method, system and program product are also disclosed for attempting to determine a root cause of a subject problem related to at least one of a measurement system under test (MSUT) and a fleet of at least one other measurement system.