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Statistical measurement

Subclass of:

702 - Data processing: measuring, calibrating, or testing

702127000 - MEASUREMENT SYSTEM

Patent class list (only not empty are listed)

Deeper subclasses:

Class / Patent application numberDescriptionNumber of patent applications / Date published
702181000 Probability determination 125
702180000 Histogram distribution 22
Entries
DocumentTitleDate
20130030763SPECTROMETER INCLUDING A GEIGER-MODE AVALANCHE PHOTODIODE - A spectrometer including: a photodiode having a depleted region and generating an electrical detection signal indicating instants of detection of optical pulses; a converter generating an electrical delay signal, indicating delays between the instants of detection and corresponding instants of emission of the optical pulses; a memory, storing a theoretical function corresponding to the probability of triggering an avalanche by a charge carrier generated in the depleted region; and a computing stage which determines a statistical distribution of the delays between the instants of detection and the corresponding instants of emission; selects a Gaussian portion of the statistical distribution; calculates the ratio between the sum of the number of delays of the Gaussian portion and the sum of the number of delays of the statistical distribution; and determines an estimate of the wavelength of the optical pulses on the basis of the theoretical function and of the sample value.01-31-2013
20130030762METHOD FOR CALCULATING DOSES DEPOSITED BY IONIZING RADIATION - A method for calculating loads deposited by an ionizing radiation, for example to be used by a radiotherapy therapeutic treatment device. The method includes at least one first step of calculating a function of the distribution of the load in the meshes of a mesh phantom. The method includes a second step of calculating the load deposited in a voxel assembly, the value of the deposited load for one voxel being given by the function of the distribution of the load particular to the mesh to which the voxel belongs. The invention can be used in particular for radiotherapy by intensity modulation.01-31-2013
20130030761STATISTICALLY-BASED ANOMALY DETECTION IN UTILITY CLOUDS - Systems and methods for detecting anomalies in a large scale and cloud datacenter are disclosed. Anomaly detection is performed in an automated, statistical-based manner by using a parametric Gini coefficient technique or a non-parametric Tukey technique. In the parametric Gini coefficient technique, sample data is collected within a look-back window. The sample data is normalized to generate normalized data, which is binned into a plurality of bins defined by bin indices. A Gini coefficient and a threshold are calculated for the look-back window and the Gini coefficient is compared to the threshold to detect an anomaly in the sample data. In the non-parametric Tukey technique, collected sample data is divided into quartiles and compared to adjustable Tukey thresholds to detect anomalies in the sample data.01-31-2013
20130030760ARCHITECTURE FOR ANALYSIS AND PREDICTION OF INTEGRATED TOOL-RELATED AND MATERIAL-RELATED DATA AND METHODS THEREFOR - Integrated yield/equipment data processing system for collecting and analyzing integrated tool-related data (cause data) and material-related data (effect data) pertaining to at least one material processing tool and at least one material is disclosed. In an embodiment, the tool-related data is correlated with the material-related data, and the correlated tool-related data and material-related data is employed by logic to perform at least one of root-cause analysis, prediction model building and tool control/optimization. By integrating cause-and-effect data in a single platform, the data necessary for performing, for example, automated problem detection (e.g., automated root cause analysis) and prediction, is readily available and correlated, which for example shortens the cycle time to detection and facilitates efficient and timely automated tool management and control.01-31-2013
20130030759SMOOTHING A TIME SERIES DATA SET WHILE PRESERVING PEAK AND/OR TROUGH DATA POINTS - Implementations disclosed herein relate to smoothing a time series data set while preserving at least one of peak or trough data points. In one embodiment, a processor recursively identifies at least one of a peak or trough point outside of a threshold distance from a connecting line connecting a beginning and ending point within the time series data set.01-31-2013
20100153064Methods and Apparatus to Determine Statistical Dominance Point Descriptors for Multidimensional Data - Methods and apparatus to determine statistical dominance point descriptors for multidimensional data are disclosed. An example method disclosed herein comprises determining a first joint dominance value for a first data point in a multidimensional data set, data points in the multidimensional data set comprising multidimensional values, each dimension corresponding to a different measurement of a physical event, the first joint dominance value corresponding to a number of data points in the multidimensional data set dominated by the first data point in every dimension, determining a first skewness value for the first data point, the first skewness value corresponding to a size of a first dimension of the first data point relative to a combined size of all dimensions of the first data point, and combining the first joint dominance and first skewness values to determine a first statistical dominance point descriptor associated with the first data point.06-17-2010
20100076725METHOD FOR AUTOMATICALLY SHIFTING A BASE LINE - A method for automatically shifting the base line has the following steps. First step is inserting the PM data into the processing data and calculating the original mean value of each section. Depending on the absolute value of the difference between each data point and the first mean value of each section, the data points are ranked. Next step is selecting the data points in the first N % of the ranked data points and then calculating the mean value and standard deviation. Next step is filtering the outlier data and calculating the base lines of each section. At last, the base lines are shifted and corrected into the same level so that the correlation error caused by base line shift is eliminated03-25-2010
20100076724Method for capturing and analyzing test result data - A method, system, and graphical user interface display for an efficient and effective characterization and analysis of test data for diverse products from a wide variety of industries using both successful test data and failure test data.03-25-2010
20100076723TENSOR LINEAR LAPLACIAN DISCRIMINATION FOR FEATURE EXTRACTION - Tensor linear Laplacian discrimination for feature extraction is disclosed. One embodiment comprises generating a contextual distance based sample weight and class weight, calculating a within-class scatter using the at least one sample weight and a between-class scatter for multiple classes of data samples in a sample set using the class weight, performing a mode-k matrix unfolding on scatters and generating at least one orthogonal projection matrix.03-25-2010
20120245887Method and System for Measuring Individual Prescience Within User Associations - Systems and methods are provided for identifying an influencer from a pool of people based on past interactions with one or more items. A popularity metric is determined for a particular item, and an earliness of interaction metric is determined for a person in the pool based on an interaction with the particular item by the person. A prescience metric is calculated for the person based on the popularity metric and the earliness of interaction metric for the person, and the influencer is identified based on the prescience metric for the person and prescience metrics calculated for other people in the pool.09-27-2012
20130085715ANOMALY DETECTION IN STREAMING DATA - Systems and methods for anomaly detection in streaming data are disclosed. An example method includes applying statistical analysis to streaming data in a sliding window. The method also includes extracting a feature. The method also includes determining class assignment for the feature using class conditional probability densities and a threshold.04-04-2013
20100004898Method and system for pre-processing data using the Mahalanobis Distance (MD) - A computer-implemented method for pre-processing data. The method may include detecting one or more erroneous vectors in a plurality of vectors, detecting one or more erroneous elements in the one or more erroneous vectors, and deleting the detected one or more erroneous elements. The method may also include detecting one or more missing elements in the plurality of vectors. Further, the method may include populating one or more offending vectors that include one or more missing elements and/or deleted erroneous elements with one or more elements that are based on a distance metric.01-07-2010
20120209566Method for Checking Plausability of Digital Measurement Signals - A method for checking plausibility of digital measurement signals, wherein the method comprises forming a trend function for a prescribed number of successive measurement values of the measurement signal, determining the differential values between the measurement values and the trend function if the leading digit of at least one differential value is equal to zero, multiplying all differential values by a factor so that the leading digits of all differential values are non-zero values, determining a deviation between the frequency distribution of the leading digits of the differential values and the frequency distribution in accordance with Benford's law, and generating a warning message if the deviation exceeds a threshold value.08-16-2012
20130041626Hybrid Analysis of Emerging Trends for Process Control - An asymmetric approach is used for evaluating process control data, whereby one approach is used for determining entry into the emerging life cycle phase (i.e., presence of a new defect) and a different approach is used for detecting entry into the other life cycle phases such as cresting and recovering. An evidence curve is created from observed instance data for a particular defect, and the slope of this evidence curve is analyzed programmatically by applying one or more tests, in combination with sequential time-reversed estimation, to determine return-to-normal conditions with a desired level of confidence.02-14-2013
20130041625Advanced Statistical Detection of Emerging Trends - Advanced statistical detection of emerging trends in a process is disclosed, based on a Repeated Weighted Geometric Cumulative Sum analysis, which may be combined with time window-based estimation of proportions and related thresholds. Threshold derivation and significance computation is based on parallel simulation runs with power-exponential tail approximations. A battery of tests using the statistical theory of sequential analysis and change-point theory in combination with targets is used to evaluate non-conforming conditions in a process. Trends in fall-out rates are detected based on non-time-to-failure data that corresponds to counts of failures in consecutive time periods, with possibility of delayed input.02-14-2013
20100042364Monitoring Virtual Worlds to Detect Events and Determine Their Type - A method, apparatus, and article of manufacture are provided for detecting events based upon population density as a function of time and geographic location. Flow of population enables continuous movement to be distinguished from non-continuous movement. Accordingly, various types of events where people are gathering may be determined based upon the population flow and density.02-18-2010
20090157351SYSTEM AND METHOD FOR IMPROVING PRINT SHOP OPERABILITY - A computer implemented system for segmenting data collected from a document production environment is provided. The system includes determining, with a computer implemented data processing platform, that a set of document production related data should be represented as a non-normal distribution. A first test is performed and it is determined that the non-normal distribution should not be analyzed pursuant to a first analytic category. A second test is performed and when it is determined that the non-normal distribution should be analyzed pursuant to a second analytic category, an output, indicating that the non-normal distribution should be analyzed pursuant to the second analytic category is provided.06-18-2009
20090157350OBTAINING A PROTON DENSITY DISTRIBUTION FROM NUCLEAR MAGNETIC RESONANCE DATA - A computer-implemented method enables a proton density distribution to be obtained. In one embodiment, the method comprises acquiring nuclear magnetic resonance data from porous media; inverting the nuclear magnetic resonance data via a global optimization algorithm to determine a proton density distribution within the porous media; and outputting the determined proton density distribution.06-18-2009
20120185211PARTICLE MEASURING APPARATUS AND MEASURING METHOD USING THE SAME - Provided are a particle measurement apparatus having a plurality of apertures arranged in series therein, and a particle measurement method using the same to statistically analyze multiple signals generated when a particle passes through the plurality of apertures, thus acquiring more accurate information on particles. The particle measurement apparatus includes a plurality of aperture members arranged in series, a plurality of electrodes to form an electric field within the plurality of aperture members, and an analyzer for statistically analyzing multiple electrical signals generated when a particle passes through the plurality of aperture members.07-19-2012
20090306932Similarity index: a rapid classification method for multivariate data arrays - Similarity Index: a rapid classification method for multivariate data arrays The present invention is directed to a method of determining the similarity between a first multivariate data set and a second multivariate data set. The method is versatile and can be applied to a number of different multivariate data sets, for example, a spectroscopy multivariate data set. In particular, the method may be applied to rapidly assess the similarity between fluorescence spectroscopy multivariate data sets. The method comprises the steps of representing the data of a first and a second multivariate data set in matrix form to yield a multivariate data matrix, wherein each multivariate data matrix has the same dimensions. Subsequently, the magnitude of an additive and subtractive combination of each multivariate data matrix is calculated. The concept of a penalty parameter is introduced to set a detectable limit of variance between said first multivariate data set and said second multivariate data set. The penalty parameter is ascribed a value and is used in combination with the magnitude of an additive and subtractive combination of each multivariate data matrix to determine a similarity value. The determined similarity value indicates the variance between said first multivariate data set and said second multivariate data set.12-10-2009
20130046507METHOD AND SYSTEM FOR ANALYSIS OF TURBOMACHINERY - A method and a system for analyzing turbomachinery are provided. In one embodiment, a system for analyzing turbomachinery is provided. The system includes an intelligent turbomachinery filter (ITF) system configured to analyze a historical sensor data for one or more components of a turbomachine to produce a filtered trend. The system further includes a detection and diagnostic system configured to determine a root cause of a turbomachine performance based on the filtered trend.02-21-2013
20090043536Use of Sequential Clustering for Instance Selection in Machine Condition Monitoring - A method is provided for selecting a representative set of training data for training a statistical model in a machine condition monitoring system. The method reduces the time required to choose representative samples from a large data set by using a nearest-neighbor sequential clustering technique in combination with a kd-tree. A distance threshold is used to limit the geometric size the clusters. Each node of the kd-tree is assigned a representative sample from the training data, and similar samples are subsequently discarded.02-12-2009
20130073257METHOD, DEVICE, AND SYSTEM FOR MONITORING A COMPONENT - A system includes a sensor configured to provide a signal related to an operating condition of a component, a memory for storing values representative of the operating condition, and a processor coupled to the sensor and to the memory. The processor is programmed to calculate a first value of the operating condition during a first period of time based on the stored values, calculate a second value of the operating condition during a second period of time using the first value, and determine a status of the component using the second value.03-21-2013
20110015895MAGNETIC DATA PROCESSING DEVICE, MAGNETIC DATA PROCESSING METHOD, AND MAGNETIC DATA PROCESSING PROGRAM - In a magnetic data processing device, an accumulating part repeatedly accumulates a predetermined number of magnetic data q01-20-2011
20080208528APPARATUS AND METHOD FOR QUANTITATIVELY MEASURING THE BALANCE WITHIN A BALANCED SCORECARD - A computer-readable storage medium to direct a computer to function in a specified manner includes executable instructions to: process a balanced scorecard to generate a hierarchical tree; classify the parent to child relationships in the hierarchical tree; identify the quantitative associations among the parent to child relationships; and assess the balance within the balanced scorecard.08-28-2008
20120226474METHOD AND SYSTEM FOR ANALYSIS OF TURBOMACHINERY - A method and a system for analyzing turbomachinery is provided. In one embodiment, a system for analyzing turbomachinery is provided. The system includes an intelligent turbomachinery tracking filter (ITTF) system configured to determine one or more performance shifts for one or more components of the turbomachinery based on a plurality of turbomachinery parameters. The system further includes a root cause analyzer configured to determine a root cause of the turbomachinery performance based on the one or more performance shifts. The one or more performance shifts include trended data.09-06-2012
20110022354METHOD AND APPARATUS FOR DISTRIBUTION-INDEPENDENT OUTLIER DETECTION IN STREAMING DATA - The present invention relates to an iterative method and an apparatus for distribution-independent detection of intermediate outliers and outliers in the distribution tail of streamed data. A considerable sequence of streamed data is sequentially read and subsequently assigned to matching bins. The bins are adaptively allocated when, where and if they are needed. Each bin range expands concurrently with the distribution range of the accumulating items assigned to the bin, adding a margin. For every N'th read item, overlapping or adjoining bins are merged, whereupon the bins are assessed for insider preclusion. Information regarding outliers is extracted from the remaining outlier bins when the entire data sequence has been processed.01-27-2011
20090018798Method, Data Processing Program and Computer Program Product for Time Series Analysis - Method, apparatus, and system, including computer program products, implementing and using techniques for time series analysis, wherein the time series exhibit trend and/or seasonality. Model parameters of the time series data are determined by selecting and/or suggesting a most appropriate combination of trend and seasonality of the time series data based on analysis of variances of transformed time series data.01-15-2009
20090012745NUCLEAR DETECTION VIA A SYSTEM OF WIDELY DISTRIBUTED LOW COST DETECTORS - A radiation detection system includes many receivers to continuously receive radiation emission data from at least some of a sufficient density of dispersed detectors capable of communicating geo-positions and photon emission counts over a network; the data includes gamma intensities, time stamps, and geo-positions. A processor builds digital image data of the received radiation data for a geographic area by treating gamma-ray proton data from each dispersed detector as a pixel in a low-light image. The processor continuously executes a plurality of statistical computational analyses on the digital image data to separate detected radiation signals from random, undesired signal noise, and known signal noise or sources. The statistical computational analyses include match-filter and/or other convolution techniques. An interface reports to a user when the computational analyses result in detection of a radiation signal and reports a location of one or more of the dispersed detectors that contribute to the detection.01-08-2009
20090012744System and Method for Statistically Evaluating the Operation of Integrated Circuit Fabrication Tools - For use with a manufacturing facility that carries out a plurality of processes, including a test process, to manufacture products, a plurality of alternative, equivalent tools being associated with each of the plurality of processes, a statistical evaluation system and a method of statistically evaluating the manufacturing facility. In one embodiment, the system includes: (1) a random test yield data selector configured to select test yield data on products subjected to a complete distribution randomly from the tools associated with the test process, (2) a group and grand means calculator associated with the random test yield data selector and configured to calculate group and grand means for the selected test yield data and (3) an analysis-of-means representation generator associated with the group and grand means calculator and configured to generate an analysis-of-means representation of at least one of the plurality of processes by plotting the group and grand means and decision limits corresponding to specific significance levels.01-08-2009
20100088064METHOD AND APPARATUS FOR DETERMINING THE OPERATIONAL STATE OF A NAVIGATION SYSTEM - A method of determining an operational state of a navigation system of a platform is provided. The method comprises testing at least a portion of hardware in the navigation system. Additionally, a measurement of at least one navigation variable from an inertial sensor is combined with a measurement of another navigation variable. A plurality of residuals for the measurement of at least one navigation variable and the measurement of another navigation variable are determined with a blending filter. An error for the measurement of at least one navigation variable is estimated based on the plurality of residuals. The method also predicts an error for the measurement of at least one navigation variable while the navigation system is in route. A determination is made as to whether the navigation system meets operational standards based on testing at least a portion of hardware, estimating an error for the measurement of at least one navigation variable, and predicting an error for the measurement of at least one navigation variable. Finally, one of a first state and a second state of the navigation system is output, the first state indicating that the navigation system does meet operational standards and the second state indicating that the navigation system does not meet operational standards.04-08-2010
20080294374PRINCIPAL COMPONENT ANALYSIS BASED FAULT CLASSIFICATION - Principle Component Analysis (PCA) is used to model a process, and clustering techniques are used to group excursions representative of events based on sensor residuals of the PCA model. The PCA model is trained on normal data, and then run on historical data that includes both normal data, and data that contains events. Bad actor data for the events is identified by excursions in Q (residual error) and T2 (unusual variance) statistics from the normal model, resulting in a temporal sequence of bad actor vectors. Clusters of bad actor patterns that resemble one another are formed and then associated with events.11-27-2008
20080294373System, software and method for estimating the glycemic load of foods - A system, software and a method for estimating the Glycemic Load of foods are provided. A multivariate statistical analysis is performed on a known data set of Glycemic Load values for foods to yield a mathematical relationship that best fits the data. The mathematical relationship is then used to calculate an estimation of the Glycemic Load when a food's Glycemic Index (and, hence, Glycemic Load) is unknown based on the food's levels of known nutrients. The estimated Glycemic Load can then be applied to dieting.11-27-2008
20080294372PROJECTION FACILITY WITHIN AN ANALYTIC PLATFORM - In embodiments of the present invention improved capabilities are described for using an analytic platform to obtain a projection. A core information matrix may be developed for data set, where the core information matrix may include regions representing the statistical characteristics of alternative projection techniques that may be applied to the data set. In addition, a user may be provided with an interface whereby the user may observe the regions of the core information matrix to facilitate selecting an appropriate projection technique.11-27-2008
20080294371Errors-in-variables data processing including essential weighting of mapped path-oriented deviations with normal component discrimination - Representations of data inversions are generated by alternate forms of maximum likelihood estimating which are rendered in correspondence with dependent coordinate mappings of path-oriented displacements. The dependent coordinate mappings are alternately considered to represent either path coincident deviations, path-oriented data-point projections. Normal displacements are rendered in normalized coordinates as a shortest distance between respective data samples and successive fitting function approximations. Deficiencies in representing likelihood as related to nonlinearities and heterogeneous precision are compensated by essential weighting of respectively mapped path-oriented displacements.11-27-2008
20110282628Testing Linearity Of Methods Of Chemical Analysis With Various Statistical Tests - A method for testing the linearity or non-linearity of an actual analyte concentration and a test result, where the actual concentration of the analyte and a test result are determined so that a computation based upon an algorithm may be performed, which allows computation of various variables so that regression may be performed and the linear significance may be determined.11-17-2011
20110282626CYCLE DECOMPOSITION ANALYSIS FOR REMOTE MACHINE MONITORING - Methods for decomposing event information for a machine are described. In one aspect, a method includes receiving event data identifying events associated with a machine on a first communications channel, and receiving trend data for the machine associated with the identified events on a second communications channel separate from the first communications channel. Systems and machine-readable media are also described.11-17-2011
20110098973Automatic Baselining Of Metrics For Application Performance Management - An application monitoring system monitors one or more applications to generate and report application performance data for transactions. Actual performance data for one or more metrics is compared with a baseline metric value(s) to detect anomalous transactions or components thereof. Automatic baselining for a selected metric is provided using variability based on a distribution range and arithmetic mean of actual performance data to determine an appropriate sensitivity for boundaries between comparison levels. A user-defined sensitivity parameter allows adjustment of baselines to increase or decrease comparison sensitivity for a selected metric. The system identifies anomalies in transactions, components of transaction based on a comparison of actual performance data with the automatically determined baseline for a corresponding metric. The system reports performance data and other transactional data for identified anomalies.04-28-2011
20110282627METHOD AND SERVER OF DETERMINING ADVISORY SAFETY SPEED BASED ON ROAD SURFACE STATES AND STATISTICAL TRAFFIC CONDITIONS - Provided are a method and an apparatus of determining safety speed based on road surface states and statistical traffic conditions. The exemplary embodiment of the present invention provides a driver with the advisory safety speed according to the speed information, the positional information, and the road surface states, or the like, collected from the GNSS receiver and the probe vehicle capable of performing the wireless communications, thereby making it possible to contribute to the traffic safety. In addition, the exemplary embodiment of the present invention can allow a driver to lower the travel speed of a vehicle by actively coping with a traffic jam, an occurrence of an accident, rapid weather changes, or the like, thereby making it possible to contribute to the occurrence prevention of a secondary accident, the alleviation of a traffic jam, or the like.11-17-2011
20100094590AUTOMATED INFORMATION TECHNOLOGY MANAGEMENT - Systems, articles of manufacture, and associated computer-executed methods determine an optimum temporal segmentation for automated information technology (IT) management. A computer-executed method detects changes in a performance metric in an automated information technology (IT) management system comprising defining a plurality of temporal segments as sets of contiguous time samples wherein time samples within a segment are mutually more similar in terms of performance metric behavior than time samples in previous and subsequent segments, and discovering the segments using an information-theoretical approach. Detecting changes in the performance metric can further comprise associating cost with the segments that is lesser for homogeneous metric behavior and greater for heterogeneous metric behavior within a segment, and finding segmentation that minimizes the cost using dynamic programming. The segments can be discovered by discovering the number of segments, discovering starting and ending time samples for the segments, and discovering statistical character of the segments comprising mean vectors and covariance matrices.04-15-2010
20110295555Method and System for Determining a Lithographic Process Parameter - The present invention relates to a method for determining parameter value related to a lithographic process by which a marker structure has been applied on a product substrate based on obtaining calibration measurement data, with an optical detection apparatus, from a calibration marker structure set on a calibration substrate, including at least one calibration marker structure created using different known values of the parameter. The method further determines a mathematical model by using said known values of said at least one parameter and by employing a regression technique on said calibration measurement data, obtains product measurement data, with said optical detection apparatus, from a product marker structure on the product substrate, with at least one product marker structure being exposed with an unknown value of said at least one parameter. Furthermore, the method determines the unknown value of at least one parameter for the product substrate from the obtained product measurement data, wherein the optical detection apparatus may be a SEM and the obtained data includes an image obtained by the SEM.12-01-2011
20110295554Equipment For Manufacturing Semiconductor Device And Seasoning Process Method Of The Same - Disclosed is an apparatus for processing a semiconductor and a method for generating a seasoning process of a reaction chamber. The method may include generating plasma in the reaction chamber using a production process recipe, obtaining at least one reference measurement value related to a byproduct of the generated plasma, performing a plurality of seasoning tests on the chamber to obtain a plurality of test results, generating an empirical model by forming at least one relational expression correlating variables manipulated during the performing of the plurality of seasoning tests to the plurality of test results, and estimating a seasoning process by using the at least one relational expression to estimate at least one estimated calculation value.12-01-2011
20080234977Methods and Apparatus for Outlier Detection for High Dimensional Data Sets - Methods and apparatus are provided for outlier detection in databases by determining sparse low dimensional projections. These sparse projections are used for the purpose of determining which points are outliers. The methodologies of the invention are very relevant in providing a novel definition of exceptions or outliers for the high dimensional domain of data.09-25-2008
20110301917AUTOMATIC ANALYZER - Abnormality causes are automatically identified during daily quality control, based on the focused consideration of complex uncertainty factors and, especially, of the causes of device-side abnormalities (i.e., abnormalities of the optical system and the dispenser mechanism), the latter of which are often difficult to identify.12-08-2011
20090204366APPARATUS AND METHOD FOR NON-INVASIVE MEASUREMENT OF THE CONCENTRATION OF A SUBSTANCE IN SUBJECT'S BLOOD - A method determines the concentration of a substance in a subject's blood. The method includes measuring an interaction of at least one light beam with a portion of the subject's body. The method further includes calculating a value of an optically-measured parameter indicative of the interaction of the at least one light beam with the substance in the portion of the subject's body. The method further includes measuring values of one or more temperature-indicative parameters corresponding to a temperature of the portion of the subject's body. The method further includes accessing an empirical correlation of the optically-measured parameter and the one or more temperature-indicative parameters to concentrations of the substance in blood. The method further includes obtaining a concentration of the substance in the subject's blood using the empirical correlation. The concentration corresponds to the value of the optically-measured parameter and the values of the one or more temperature-indicative parameters.08-13-2009
20090076774Probe information collection and distribution systems, methods, and programs - Probe information collection and distribution systems, methods, and programs obtain a vehicle attribute from an onboard device in a vehicle that specifies an attribute of the vehicle and probe information of a measured vehicle behavior. The systems, methods, and programs accumulate the probe information in a memory. The systems, methods, and programs obtain an accumulated quantity of the probe information for each of a plurality of categories included in the vehicle attribute and determine one of the plurality of categories for which statistics of the probe information will be calculated based on the accumulated quantity of the probe information. The systems, methods, and programs calculate the statistics of the probe information of the determined category, generate distribution data based on the calculated statistics, and send the distribution data to the onboard device of the vehicle belonging to the determined category.03-19-2009
20110125460Information Processing Apparatus and Apparatus for Evaluating Whether Information Processing Method is Possible - An information processing apparatus using a design and evaluation method for a device or an apparatus concerning microscopic particles in conformity with dual mechanics is provided, and this apparatus may be utilized as an evaluation apparatus for evaluating whether or not quantum computers can be realized; wherein the dual mechanics is universal mechanics constructed by combining classical mechanics and novel wave mechanics and may be applicable to all particles ranging from microscopic to macroscopic particles. As a result, it is possible to prevent making useless efforts for realizing quantum computers that are judged to be impossible to realize and to pitch those efforts that might be wasted on the above realization into developing other effective technologies.05-26-2011
20100268510Using Statistics to Locate Signals in Noise - Computation of variance or variance of the autocorrelation over a moving window of various sizes of a signal containing noise and possibly a small digital signal provides a sensitive, frequency independent indication of the likelihood of the presence of a small pulse, chirp or even spread spectrum digital signal possibly obscured by noise or larger signals in the signal to much lower signal-to-noise ratios than previously possible. Large signals in the signal which may also obscure any small signal are removed to a different signal path from the noise and small signals by subtraction after compression and reconstruction of the large signal. The compression noise thus added to the signal may also increase sensitivity of the variance of the autocorrelation to small signals obscured by the large signals. Controlling storage in response to the computed variance or variance of the autocorrelation allows substantial avoidance or limitation of storage of signals which contain only noise.10-21-2010
20090150120METHOD AND APPARATUS FOR PREDICTING USER PREFERENCE - A method and apparatus for predicting content preferences of an active user with reference to content preferences of other users that are similar to those of the active user, the method including: measuring similarity ratios of the active user and other users using an overlapping ratio of use of content items commonly used between the active user and the respective other users; generating a recommender list for the active user based on the measured similarity ratios; and predicting a preference rating of the first user with respect to an unused content item based on a preference rating of an other user included in the recommender list with respect to the unused content item. Accordingly, the similarity ratio between the users can be accurately measured so that reliability of a preference rating prediction system can be increased.06-11-2009
20090055126Virtual sensors - A method and apparatus for providing a virtual sensor in real-time have been described. In one embodiment, a method to provide a virtual sensor in real-time includes identifying data indicating desired functionality. The method further includes executing the virtual sensor in real-time based on the identified data to generate an output of the virtual sensor with the output being used by at least one data analysis module in real-time for statistical process monitoring.02-26-2009
20110172958Measurement Tool Monitoring Using Fleet Measurement Precision and Tool Matching Precision Analysis - A method for monitoring a fleet comprising a plurality of measurement tools includes collecting data for a current time interval from the fleet by a data collection module; and performing fleet measurement precision (FMP)/tool matching precision (TMP) analysis on the collected data by a FMP/TMP analysis module, wherein FMP/TMP analysis comprises determining a TMP for each of the plurality of measurement tools using a static and a dynamic benchmark measuring system (BMS); and determining a FMP for the fleet using the static and the dynamic BMS; and determining if the FMP is above a predetermined threshold by a fleet improvement module, and in the event the FMP is above the predetermined threshold, identifying at least one tool of the plurality of tools as poorly performing based on the TMPs; and flagging the identified at least one tool for improvement.07-14-2011
20110257932METHOD FOR DETECTING VARIANCE IN SEMICONDUCTOR PROCESSES - 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.10-20-2011
20080270071NONPARAMETRIC METHOD FOR DETERMINATION OF ANOMALOUS EVENT STATES IN COMPLEX SYSTEMS EXHIBITING NON-STATIONARITY - According to a feature of the present disclosure, a method is provided for the determination of anomalous events in complex systems, such as problems, inefficiencies, and failures, and a tool is provided for the detection of these events. Many complex systems are non-stationary or experience periodic fluctuations or spikes in values that are outside of normal ranges, but constitute normal behavior nevertheless. The method accounts for both non-stationarity, as well as fluctuations and spikes. Additional novel features include both a threshold setting initialization method and a regression method for the determination of the start points and end points of events.10-30-2008
20100082290DETECTING AN ERROR IN A PREDICTION OF RESOURCE USAGE OF AN APPLICATION IN A VIRTUAL ENVIRONMENT - Described herein is a method for detecting an error in a prediction of resource usage of an application running in a virtual environment, comprising: providing a plurality of benchmark sets, executing the plurality of benchmark sets in a native hardware system in which the application natively resides, executing the plurality of benchmark sets in the virtual environment, collecting first traces of first resource utilization metrics in the native hardware system based on the execution of each of the plurality of benchmark sets in the native hardware system, collecting second traces of second resource utilization metrics in the virtual environment based on the execution of each of the plurality of benchmark sets in the virtual environment, generating at least one initial prediction model that maps the first traces of first resource utilization metrics to the second traces of second resource utilization metrics, computing a plurality of mean squared errors (MSE's) based on the at least one initial prediction model, each of the MSE's is further based on and associated with the collected first and second traces for a different one of the plurality of benchmark sets, and determining whether to use the initial prediction model to predict a resource usage of the application running in the virtual environment based on the plurality of MSEs.04-01-2010
20120271593MONITORING WIND TURBINE PERFORMANCE - Monitoring wind turbine performance is described herein. One or more device embodiments include a memory and a processor. The processor is configured to execute executable instructions stored in the memory to determine a number of power outputs of a wind turbine at a number of wind speeds, determine a number of power residuals of the wind turbine at the number of wind speeds based on the determined power outputs and an expected power output curve associated with the wind turbine, adjust the power residuals based on a number of characteristics associated with a location of the wind turbine, analyze performance of the wind turbine based on the adjusted power residuals, and generate and display a number of health indicators associated with the wind turbine.10-25-2012
20110172959MULTI-GAP INTERFEROMETRIC SENSORS - An apparatus for estimating a property includes a hollow core tube and an input light guide disposed at least partially within hollow core tube. The apparatus also includes a second gap disposed within the hollow core tube and separated from the input light guide by an air gap width. The second gap is formed of a first solid material and has a second gap width. The apparatus also includes a third gap disposed at least partially within the hollow core tube and being further from the input light guide than the second gap. The third gap is formed of a second solid material and has a third gap width.07-14-2011
20110172960CASH DRAWER HAVING A NETWORK INTERFACE - Cash drawers having a network interface and a processing unit are disclosed. The network interface connects to a network. The processing unit detects cash drawer events and transmits an indication of the cash drawer events across the network interface. The cash drawer optionally includes a storage component that stores the indication of the cash drawer events. The network interface may be a wired or a wireless interface. The cash drawer may receive electrical power from an external supply or from the network connection.07-14-2011
20110172961MANAGEMENT APPARATUS AND IMAGE FORMING APPARATUS MANAGEMENT METHOD - A system of an apparatus collects, from a plurality of forming apparatuses, information about a status of occurrence of an error occurring on the plurality of forming apparatuses and a utilization environment of the plurality of forming apparatuses, executes control, if an error has frequently occurred and that the utilization environment has varied, for notifying information indicating that the error has frequently occurred on the plurality of forming apparatuses together with information about the varied utilization environment, and executes control, if the error has frequently occurred and the utilization environment has not varied, for notifying information indicating that the error has occurred on the plurality of forming apparatuses together with the information about the utilization environment.07-14-2011
20080243434Method Of Identifying Abnormal Operation Of A Machine And An Apparatus Therefor - A method of identifying abnormal operation of an industrial machine includes the step of determining statistical parameters from a plurality of samples of characteristic parameter(s) of known similar industrial machines in normal operation and storing them, the statistical parameters defining a statistical range of values of the characteristic parameter(s) for normal operation of the industrial machine. The characteristic parameter(s) of a machine being monitored are sampled and a determination (10-02-2008
20080288209FLEXIBLE PROJECTION FACILITY WITHIN AN ANALYTIC PLATFORM - In embodiments of the present invention improved capabilities are described for using an analytic platform to obtain a projection, where a user of an analytic platform may select at least one dimension on which the user wishes to make a projection from the data set. A core information matrix may be developed for data set, where the core information matrix may include regions representing the statistical characteristics of alternative projection techniques that may be applied to the data set, and may include statistical characteristics relating to projections using any selected dimensions. In addition, a user interface may be provided whereby a user may observe the regions of the core information matrix to facilitate selecting an appropriate projection technique.11-20-2008
20080288210APPARATUS AND METHOD FOR MONITORING DEVICE CONDITION AND COMPUTER READABLE MEDIUM - There is provided with an apparatus for monitoring condition of a device by using sensors, including: a data collecting unit configured to collect sensor data; a monitoring executing unit configured to execute monitoring logics to obtain condition values corresponding each of the monitoring logics; an output unit configured to output the values corresponding to a monitoring logic selected by selection information; a distance index calculating unit configured to calculate a distance index between a distribution of values corresponding to selected monitoring logic and each of one or more distribution of values corresponding to each of one or more other monitoring logic; and an information updating unit configured to update the selection information to select one of the other monitoring logic when a number of monitoring logics having the distribution distant more than a first threshold from that of selected monitoring logic is greater than a first threshold or equal.11-20-2008
20090265134BENCHMARKING DIAGNOSTIC ALGORITHMS - A method for benchmarking diagnostic algorithms for a particular application is provided. The diagnostic algorithms are rank ordered based on a specified criterion so as to weed out weak algorithms, selecting more robust algorithms, defined in some sense, for deployment. This is realized by evaluating various parameters subsequently mentioned. A normalized product entropy ratio parameter is obtained. A performance parameter vector is fixed to define a plurality of sensitivity parameters including a plurality of threshold parameters and a plurality of data parameters. The plurality of threshold parameters and the plurality of data parameters are perturbed to obtain a threshold sensitivity parameter and a data sensitivity parameter.10-22-2009
20080312873Situation analyzing system and situation analyzing method, and batch processing analyzing system and batch processing analyzing method - A data accumulating section accumulates the data acquired from the monitored object. A reference space forming section forms a reference space based on the data accumulated in the data accumulating section. A data acquiring section acquires the data from the monitored object. A distance calculating section calculates a Mahalanobis' distance by inputting the data acquired by the data acquiring section into the reference space formed by the reference space forming section. An instruction accepting section accepts an instruction from a user, and decides procedures of operations of the reference space forming section, the data acquiring section, and the distance calculating section in response to the instruction.12-18-2008
20080312871Line Monitoring System and Method - A line monitoring system and method may be used to monitor objects (e.g., people or vehicles) in a line. The system may receive object data associated with objects in a surveillance area including object identifying data and object location data. The system may analyze the object data with reference to one or more line behavior pattern parameters representing one or more behavior patterns indicative of objects in a line to determine if one or more of the objects should be designated as in a line in the surveillance area. They system may also determine one or more line statistics associated with objects designated as in the line, such as a number of objects in line, a wait time in the line, and/or a volume of objects moving through the line.12-18-2008
20080228442STATISTICAL DATA INSPECTOR - An embodiment of the invention provides a technique that allows the collection, storage, and manipulation of data collected in a computer network.09-18-2008
20080270072DATA REMAINING PERIOD MANAGEMENT DEVICE AND METHOD - A remaining period management device according to an example of the invention comprises a statistic calculation unit that measures sampling data associated with monitoring target data stored in a storage device having a finite data remaining period and calculates sampling statistical data based on a measurement result of the sampling data, and a remaining period detection unit that obtains remaining period data indicative of a data remaining period of the monitoring target data based on predetermined remaining period characteristic data indicative of a characteristic that statistical data varies with elapse of data remaining period and the sampling statistical data calculated by the statistic calculation unit.10-30-2008
20090089009Simplified algorithm for abnormal situation prevention in load following applications - Systems and methods are provided for detecting abnormal conditions and preventing abnormal situations from occurring in controlled processes. Statistical signatures of a monitored variable are modeled as a function of the statistical signatures of a load variable. The statistical signatures of the monitored variable may be modeled according to an extensible regression model or a simplified load following algorithm. The systems and methods may be advantageously applied to detect plugged impulse lines in a differential pressure flow measuring device.04-02-2009
20080234975Methods and systems for evaluating pigment dispersions - Methods and systems for evaluating pigment dispersions with desired characteristics. More specifically, methods and systems for evaluating particle size of colorless or light color dispersions using a novel parameter described as particle size related scattering index (PSRSI).09-25-2008
20090076773Method for identifying unmeasured disturbances in process control test data - A method of improving a data set associated with a system, the method comprising: providing a baseline data set for the system, wherein the baseline data set comprises a plurality of input and output data from the system; analyzing the baseline data set and selecting a baseline model for the baseline data set, wherein the baseline model comprises an baseline array of data relating to the input and output data from the system; normalizing the baseline data set associated with the system to create a normalized data set; analyzing the normalized data set and selecting an improved model for the normalized data set, wherein the improved model comprises an improved array of data relating to the input and output data from the system; performing a statistical comparison using the baseline data set and the normalized data set; calculating an at least one indicator value associated with the normalized and baseline data set based on the statistical comparison; determining a threshold value associated with the baseline data set and normalized data set based on the statistical comparison; and producing a new data set by eliminating any segments of the baseline data set where the at least one indicator value is greater than the threshold value.03-19-2009
20110208478METHOD FOR EVALUATING FLUORESCENCE CORRELATION SPECTROSCOPY MEASUREMENT DATA - With the different methods of fluorescence correlation spectroscopy, physical and biological transport processes in or between cells in the microscopic range, for example diffusion processes, can be analyzed. For this purpose, correlations of the fluorescence measurement data are determined for different sample regions and mathematical transport models are adapted thereto. Erroneous fluorescence correlation analyses were previously identified on the basis of the properties of the adapted model function parameters and were discarded. The a-priori knowledge necessary for the identification had to be obtained in time-consuming series of tests. With the invention, sample properties can be determined in a simpler, quicker and more exact way from fluorescence correlations. A suitability degree for one or more regions of the sample is determined for a correlation evaluation, describing quantitatively the information content of the respective region, or the error to be expected from a correlation evaluation, and can thus already be used before a correlation evaluation as a criterion for filtering/selecting the respective region. In this way, elaborate correlation calculations can be dispensed with in non-informative sample regions.08-25-2011
20090182529DETERMINING SIGNAL QUALITY OF OPTICAL METROLOGY TOOL - A method, system and computer program product for determining a signal quality of an optical metrology tool are disclosed. A method comprises: collecting a data pool regarding measurements of a target made by the optical metrology tool, the data pool including a wavelength of incident light used in a measurement; and statistically analyzing the data pool to obtain a wavelength specific signal quality of the optical metrology tool.07-16-2009
20090187379INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND MEMORY MEDIUM - An information processing apparatus for processing information generated by an exposure apparatus which exposes a substrate to radiant energy, comprises an information collecting unit configured to collect first apparatus information obtained by the exposure apparatus via an operation thereof with respect to each of a plurality of first regions which form a first array defined on the substrate, a converting unit configured to convert at least a part of the first apparatus information collected with respect to each of the plurality of first regions by the information collecting unit into second apparatus information with respect to each of a plurality of second regions which form a second array, a statistical processing unit configured to statistically process the second apparatus information, and an analyzing unit configured to analyze the statistical processing result obtained by the statistical processing unit.07-23-2009
20090187380ROOT MEDIAN SQUARE POWER MEASUREMENT - A handheld computing device comprises a data processor configured to allocate a set of measurements of a wireless signal amongst partitions of a hierarchical multi-level partition space. Each level has a plurality of the partitions. Each partition has a respective numerical range, and the value of each allocated measurement is within one of the ranges. One of the measurements allocated to one of the partitions has a desired rank. This partition encompasses the range of all the partitions in the immediately lower level. Each partition in the immediately lower level has a desired resolution for the allocated measurements. The data processor sums the number of measurements allocated to each respective partition in the immediately lower level until the desired rank is obtained. The numerical range of the partition in this lower level that is associated with the desired rank comprises an estimate of a characteristic of the wireless signal.07-23-2009
20090138237Run-Time Characterization of On-Demand Analytical Model Accuracy - A method of determining accuracy of predicted system behavior can include creating a plurality of noise adjusted analytical models, wherein each noise adjusted analytical model is associated with a set of predefined analytical model parameters. A set of inferred analytical model parameters for each noise adjusted analytical model can be derived. Each set of inferred analytical model parameters can depend upon a current noise adjusted analytical model and each prior noise adjusted analytical model. For each set of inferred analytical model parameters, a measure of error between the set of inferred analytical model parameters and the set of predefined analytical model parameters associated with the noise adjusted analytical model from which the set of inferred analytical model parameters was derived can be determined.05-28-2009
20090177439Process Monitoring Technique and Related Actions - The invention provides a novel method of monitoring a process. The method also has the ability to take predetermined actions based on the monitored data. These actions avoid or mitigate process abnormalities or upsets that might impact product quality, production, and/or process efficiencies. The method includes the steps of: obtaining at least one input process variable; determining a comparative process value based on the at least one input process variable using a first method having a first time-based weighting function; determining an expected process value based on the at least one input process variable using a second method having a second time-based weighting function; determining a first deviation value based on the at least one input process variable or historical data; calculating a limit range having a maximum limit and a minimum limit using the expected process value and the first deviation value; and comparing the comparative process value to the limit range.07-09-2009
20090326865Rapid Data-Based Data Adequacy Procedure for Pipeline Integrity Assessment - A method and system for evaluating the sample coverage of ultrasonic or radiography (UT/RT) measurements of pipeline wall thickness for statistical validity. A data library contains distributions of in-line inspection (ILI) measurements for other pipelines, calibrated to correspond to UT/RT measurements as needed. The data library for these ILI-measured pipelines also includes statistics generated from Monte Carlo simulation, by way of which various sample coverage levels sample the ILI measurements, for determining whether a measurement exceeds a given threshold or meets another premise related to determining the extreme wall loss measurement for the pipeline. A pipeline with sampled UT/RT measurements is used to identify one or more ILI-measured pipeline datasets that are most similar, and the statistics from those most similar pipeline datasets determine whether the sample coverage of the UT/RT measurements is sufficient to draw conclusions about the extreme value of wall loss in the sampled pipeline.12-31-2009
20090326866Methods and Apparatus for Statistical Characterization of Nano-Particles - A method and apparatus for determining statistical characteristics of nano-particles includes distributing the nano-particles over a surface and then determining properties of the nano-particles by automatic measurement of multiple particles or by a measurement that determines properties of multiple particles at one time, without manipulating individual nano-particles.12-31-2009
20090326864DETERMINING THE RELIABILITY OF AN INTERCONNECT - Some embodiments of the present invention provide a system that determines the reliability of an interconnect. During operation, connectors in the interconnect are categorized into a set of predetermined groups. Next, the reliability for selected groups in the set of predetermined groups is determined. Then, a reliability model for the interconnect is generated based on the selected groups and the reliability of the selected groups to determine the overall reliability of the interconnect.12-31-2009
20080319711Effective factor extraction system and its method and program - To provide an effective factor extraction system in which samples are generated artificially from a sample group and a virtual sample set is created so that even when the number of sample is relatively small, specific factors can be selected/extracted with high reliability by using the virtual sample set. The effective factor extraction system comprises a section (12-25-2008
20110224947SYSTEMS AND METHODS FOR MONITORING, INFERRING STATE OF HEALTH, AND OPTIMIZING EFFICIENCY OF REFRIGERATION SYSTEMS - Systems and method for operating and monitoring refrigerators are described. Temperature cycles within the compartment are characterized using statistical, frequency and pattern analysis techniques to derive a steady-state characteristic of temperature within the compartment. A thermal sensor inside the conditioned area is monitored and temperature data sets can be analyzed to determine performance in comparison to a baseline, and energy consumption. Analysis of continuous temperature readings taken from individual or groups of freezers identifies patterns of variations in temperature cycles from which feedback on efficiency can be inferred. Electrical load can be determined by measuring or estimating current usage and identifying periods of time when compressors are active in the refrigerator.09-15-2011
20090055127METHOD FOR GAIN ERROR ESTIMATION FOR AN ANALOG-TO-DIGITAL CONVERTER - The invention provides a method for gain error estimation for an analog-to-digital converter. In one embodiment, the analog-to-digital converter comprises a plurality of stages. First, a series of correction numbers applied to a target stage selected from the stages are correlated with a series of first values calculated according to digital output values of the stages to generate a series of gain error estimates. Every first number of the series of gain error estimates is then averaged to obtain a series of second values. A second number of the series of second values is then averaged to obtain a gain error of the target stage.02-26-2009
20090082997METHOD OF IDENTIFYING CLUSTERS AND CONNECTIVITY BETWEEN CLUSTERS - The present invention relates to a method for predicting outcome and evaluation of clusters. Particularly the invention relates to a method of determining deviation and predict future out comes of clusters with certain attributes. In one embodiment, the present invention relates to epidemic outbreaks of disease and, more particularly, to a method for predicting the spread thereof.03-26-2009
20120143564SYSTEM AND METHOD FOR PREDICTING REMAINING USEFUL LIFE OF DEVICE COMPONENTS - A method and system for accurately predicting the remaining useful life of devices and device components based on rigorous statistical analysis data to reduce service costs by implementing condition-based maintenance is disclosed. One such rigorous statistical model is the general degradation path model. The General Path Model is used to generate simulated data that shares similar data characteristics of historical field failure data. This generated data can be used in a reliability study based on Monte Carlo techniques for RUL prediction. The study can be used to investigate the effects of influential factors such as suspension percentage and heavy-tailed behavior. The remaining useful life prediction is based on both the fixed-time predictors (such as the market segment) and the time-dependent covariates (e.g., dark decay, printing rate, etc.). The Random Forest Model can also be used for accurately predicting remaining useful life based on both fixed-time predictors and time-dependent covariates, which are both contained in the field data of a component. A relationship between component failure and amount of degradation makes it possible to use degradation models for accurate predictions of failure time.06-07-2012
20080262792Method for Outputting Measured Values and Display Device - The invention relates to a method for emitting measuring values on a display (10-23-2008
20080262793Identification of Outlier Semiconductor Devices Using Data-Driven Statistical Characterization - Systems and methods for identification of outlier semiconductor devices using data-driven statistical characterization are described herein. At least some preferred embodiments include a method that includes identifying a plurality of sample semiconductor chips that fail a production test as a result of subjecting the plurality of sample semiconductor chips to a stress inducing process, identifying at least one correlation between variations in a first sample parameter and variations in a second sample parameter (the sample parameters associated with the plurality of sample semiconductor chips) identifying as a statistical outlier chip any of a plurality of production semiconductor chips that pass the production test and that further do not conform to a parameter constraint generated based upon the at least one correlation identified and upon data associated with at least some of the plurality of production semiconductor chips, and segregating the statistical outlier chip from the plurality of production semiconductor chip.10-23-2008
20100161274PROGNOSTICS AND HEALTH MONITORING FOR ELECTRO-MECHANICAL SYSTEMS AND COMPONENTS - A method and system for monitoring and predicting the health of electro-mechanical systems and components includes collecting data for a fixed pattern of actuation of such system or component. This data is used to build statistical models that correspond to a normal state of the system or component. New measurements are compared to this model in order to monitor the health of the system or component. The comparison can be made using a distance calculation. The combination of new measurements with historical data provides the prediction for future health states of the system or component.06-24-2010
20100153065INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING METHOD AND PROGRAM - An information processing device includes a first input receiving unit, a second input receiving unit, a window function processing unit, a correlation calculating unit, and an output unit. The first input receiving unit is configured to receive first information including a first time-series data related to a semiconductor process. The second input receiving unit is configured to receive second information including a second time-series data related to the semiconductor process. The window function processing unit is configured to retrieve window acquiring information from the first information during an intended period using a window function. The correlation calculating unit is configured to calculate a cross-correlation function between the window acquiring information retrieved by the window function processing unit and the second information. The output unit is configured to output information corresponding to the cross-correlation function calculated by the correlation calculating unit.06-17-2010
20100161275Trend Analysis Methods and System for Incipient Fault Prediction - 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.06-24-2010
20100191503Prognostics and health management implementation for self cognizant electronic products - The present invention provides a method to implement prognostics and health management (PHM) in individual electronic products (such as parts, components, boards, assemblies, devices, systems, and systems of systems). The PHM algorithm is performed during product screening tests, diagnostic processes, or after the manufacturer process. Certain performance, signal values and parameters, environmental and operational loads, or their correlations are recorded, extracted, and stored in electronic memory for that particular product. The stored data represents a the healthy baseline reference of that particular product at the initial point of its life. In one embodiment, where the healthy baseline is stored in the product, it can be updated according to different usage conditions. In one embodiment with the data is stored within the product, the PHM analysis can be performed in the field under conditions of use. In another embodiment the healthy baseline can be stored elsewhere and the product returned to the company storing the healthy baseline data, for PHM analysis.07-29-2010
20120197594METHOD FOR FILTERING MEASUREMENT SIGNALS - The invention relates to a method for filtering measurement signals by way of wavelet filtering, wherein the signals are first transferred to the wavelet domain by way of a wavelet transform, are subjected to threshold analysis, and the threshold values can then be varied in the wavelet domain commensurate with the respective measurement situation. The measurement signals are filtered by a plurality of filters arranged in segmentation levels and a statistical parameter is calculated based on an adjustable number of already calculated wavelet coefficients of a segmentation level and is then multiplied with a value that can be adjusted.08-02-2012
20080215290Determining a location based advertising campaign - A method of determining a location based advertising campaign is disclosed. A specification of location based advertising campaign characteristics is received. Available spots in an advertising supply are scored based on the specification. Selected spots are automatically determined from among the available spots in physical locations to include in the location based advertising campaign, based on an advertising budget and the scoring of the available spots. A description of the location based advertising campaign for displaying the selected spots is outputted.09-04-2008
20100217562Operating parameter control of an apparatus for processing data - An apparatus for processing data 08-26-2010
20100235140DETECTED DATA PROCESSING APPARATUS AND COMPUTER READABLE MEDIUM FOR DETECTING DATA - A detected data processing apparatus includes a selecting unit that calculates mutual correlation between a plurality of groups of detected data acquired from a detecting unit that detects an operational state of a circuit board, and then selects as analysis data the detected data of a group whose value indicating correlation with other groups is smaller than a threshold value set up in advance; and a first calculating unit that calculates a first Mahalanobis distance on a basis of a first Mahalanobis space generated by using the analysis data selected by the selecting unit from the detected data obtained when a normal circuit board is operated and on a basis of the detected data obtained when a circuit board of diagnosis target is operated.09-16-2010
20100241399Statistical Processing Methods Used in Abnormal Situation Detection - Detection of one or more abnormal situations is performed using various statistical measures, such as a mean, a median, a standard deviation, etc. of one or more process parameters or variable measurements made by statistical process monitoring blocks within a plant. This detection is enhanced in various cases by using specialized data filters and data processing techniques, which are designed to be computationally simple and therefore are able to be applied to data collected at a high sampling rate in a field device having limited processing power. The enhanced data or measurements may be used to provided better or more accurate statistical measures of the data, may be used to trim the data to remove outliers from this data, may be used to fit this data to non-linear functions, or may be use to quickly detect the occurrence of various abnormal situations within specific plant equipment, such as distillation columns and fluid catalytic crackers.09-23-2010
20090292504Adaptive Image Sensor - This invention pertains to an image sensor that detects when the light intensity incident on the sensor rises significantly above and/or drops significantly below the ambient, background, or user-set light intensity.11-26-2009
20100125434Computer-implemented methods for evaluating, summarizing and presenting data on stability of drug substances and drug products and software-modified computers for such methods - Computer-implemented methods for statistical analysis and summarization of a stability study on a pharmaceutical product using of a macro integrated into statistical analysis software. The method includes inputting and summarizing data observed for a stability study on a pharmaceutical product, statistically analyzing the data, including using at least one regression function to characterize the time-response relationship of at least one stability response variable, to estimate a shelf life of the pharmaceutical product or confirm the shelf life of an existing pharmaceutical product, and providing standardized output data and graphical presentations of observed stability response data. Also, a computer loaded with a general statistical analysis software and a macro integrated with the software such that the computer is capable of performing these computer-implemented methods using the software and macro.05-20-2010
20120130678WIND TURBINE MONITORING DEVICE, METHOD, AND PROGRAM - Status monitoring of a wind turbine is automatically performed, and evaluation of that status is quantitatively performed according to an appropriate criterion. Provided is a wind turbine monitoring device including a first storage unit in which a diagnostic data file is stored; a second storage unit in which a normal data file is stored; a diagnostics setting unit that that extracts and sets a plurality of datasets to be used in diagnosis from the first storage unit and that extracts and sets a plurality of datasets to be used in diagnosis from the second storage unit; an index-value calculating unit that calculates status index values representing the status of the wind turbine using a statistical calculation method, on the basis of the set datasets in the diagnostic data file and the datasets in the reference data file; a fault determining unit that evaluates the status of the wind turbine on the basis of the status index values; and a notification unit that notifies the result of this evaluation.05-24-2012
20100198555PLANT STATE MONITORING METHOD, PLANT STATE MONITORING COMPUTER PROGRAM, AND PLANT STATE MONITORING APPARATUS - Provided is a plant state monitoring method which monitors an operation state of a plant by using the Mahalanobis distance based on the plant state amount. The method creates a first unit space as a set of data used to be a reference when judging whether the plant operation state during a start operation period is normal according to the state amount in the plant start operation period. The method also creates a second unit space as a set of data used to be a reference when judging whether the plant operation state during a load operation period is normal according to the state amount in the plant load operation period.08-05-2010
20090204367METHODS FOR DISTRIBUTING A RANDOM VARIABLE USING STATISTICALLY-CORRECT SPATIAL INTERPOLATION - Methods for distributing a random variable by spatial interpolation with statistical corrections. The method includes assigning a numerical value of the random variable at each vertex of an array of equilateral triangles formed in a planar coordinate frame and defining a plurality of test points at respective spatial locations in the planar coordinate frame that are bounded by the array of equilateral triangles. A numerical value of the random variable is distributed at each of the test points by spatial interpolation from one or more of the numerical values of the random variable assigned at each vertex of the array of equilateral triangles. The method further includes adjusting the numerical value of the random variable distributed at each of the test points with a respective correction factor.08-13-2009
20090319226STATISTICS ESTIMATION APPARATUS, STATISTICS ESTIMATION PROGRAM, AND STATISTICS ESTIMATION METHOD - A statistics estimation apparatus that calculates an estimated statistic value of executed program comprises an executer that executes a target program using the number of data that is smaller than the number of data intended to be executed, and calculates a partial process statistic of a processor which executes the partial processes of the program, for each of the numbers of data and each of the partial processes, a creator which creates a mathematical formula for calculating an overall statistic of the processor when a whole program is executed with the number of data intended for execution, based on the calculated partial process statistic and the number of processed data when the partial process statistic is calculated, and a calculator that calculates an estimated statistic when the program is executed with the number of data intended for execution, based on the created mathematical formula.12-24-2009
20090204368Method for process monitoring in a utility system - 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. Alarms associated with monitoring devices and sensors are aggregated into one process alarm.08-13-2009
20090144022Mixed statistical and numerical model for sensor array detection and classification - A method and system for detecting and classifying biosensor and chemical sensor data includes processing data fetched from an array of sensors. A statistical analysis of the processed data is performed, to obtain statistically analyzed sensor data. A determination is made, based on the statistically analyzed sensor data, whether or not there a response signal has been generated from the array of sensors. If a response signal is determined to have been generated, a numerical pattern recognition is performed on the data collected from the array of sensors, in order to categorize the data06-04-2009
20090112514METHOD AND APPARATUS FOR FINDING CLUSTER IN DATA STREAM AS INFINITE DATA SET HAVING DATA OBJECTS TO BE CONTINUOUSLY GENERATED - Disclosed is a method and apparatus for finding a cluster in a data stream as an infinite data set having data elements, which are continuously generated. A method of finding a cluster in a data stream according to an embodiment of the present invention includes the steps of: (a) updating statistical distribution information of a grid-cell corresponding to a currently generated data element among the grid-cells, statistical distribution information on previously generated data elements being managed using grid-cells, which are partitioned within the range of a data space and have statistical distribution information of data elements within the range; (b) comparing the occurrence frequency of the data element in the grid-cell according to the update result of the statistical distribution information with a predefined partitioning threshold, partitioning the grid-cell into a plurality of grid-cells according to the comparison result, and estimating statistical distribution information of the partitioned grid-cells; (c) recursively performing the step (a) or (b) until the grid-cell becomes a unit grid-cell having a predefined size; and (d) comparing the occurrence frequency of a data element in the unit grid-cell with a predefined minimum support and defining a set of a plurality of unit grid-cells as a cluster according to the comparison result.04-30-2009
20100332185ANALYTICAL BANDWIDTH ENHANCEMENT FOR MONITORING TELEMETRIC SIGNALS - Some embodiments provide a system that analyzes telemetry data from a monitored system. During operation, the system obtains the telemetry data as a set of telemetric signals from the monitored system and groups the telemetry data into one or more clusters of correlated telemetric signals from the telemetric signals. Next, the system increases a bandwidth associated with monitoring the telemetric signals. To increase the bandwidth, the system omits one or more of the correlated telemetric signals from each of the clusters during sampling of the telemetric signals and estimates the omitted correlated telemetric signals by applying a nonlinear, nonparametric regression technique to the sampled telemetric signals.12-30-2010
20100332184DETERMINING AN ENCODING TYPE OF DATA - Implementations of the present disclosure provide for determining an encoding type of data. Implementations include receiving a data set from a computer-readable storage medium, decoding the data set using a first encoding type to provide a first plurality of numbers, generating a first distribution based on the first plurality of numbers, decoding the data set using a second encoding type to provide a second plurality of numbers, and generating a second distribution based on the second plurality of numbers. An actual encoding type of the data set is determined based on the first distribution, the second distribution and an expected distribution, and the data set is processed based on the actual encoding type.12-30-2010
20090030651SYSTEM FOR IDENTIFYING CONTENT OF DIGITAL DATA - A system for identifying a work represented by digital data. This system detects events in data of the content of an unknown work and measures a metric between the events. The system then compares the detected events and metrics from an unknown work with the events and metrics of a known work. If the events and metrics match, the unknown work is identified as a copy of the known work.01-29-2009
20110246134Real Time Statistical Triggers on Data Streams - Logic analyzers and real-time spectrum analyzers use real-time statistical processes as a basis for creating a trigger. The statistical displays within a test and measurement system such as a Logic Analyzer (LA) or Spectrum Analyzer (SA) or other instrument are used in a user interface to define a trigger based on the statistical event itself. In brief, the invention is a Real Time Statistical trigger established by the user through a direct interaction with the Real Time Statistics displays. This interaction can be via a graphical user interface, or the user interface can employ a non-visible display (e.g., a speaker) or input device (e.g., a microphone).10-06-2011
20090063094Control Asset Comparative Performance Analysis System and Methodolgy - A system and method is provided for determining the variability induced on a process output. The method includes the analysis of input variable values to determine the total variability. A series of processes may be analyzed and ranked so that a process owner may gain an understanding of how a target process performs relative to the processes of other process owners. The method includes the generation of graphical process comparisons and advice regarding asset performance. The method also includes the estimation of cost impacts due to changes in induced variability.03-05-2009
20110246135SYSTEMS, METHODS, AND LOGIC FOR GENERATING STATISTICAL RESEARCH INFORMATION - 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. The system includes a processing unit configured to: automatically identify statistical variables in the dataset; automatically generate a program code for obtaining a variable distribution; select at least one statistical variable for statistical analysis; select one or more of the at least one statistical variable and automatically generate programs that implement the statistical functions for manipulating the variables; automatically perform statistical analysis based on the statistical modules by executing program codes associated with the modules; and automatically generate a program code for organizing outcomes of the statistical analysis into the user selected output formats.10-06-2011
20090070069APPARATUS AND METHOD FOR OPTIMIZING MEASUREMENT REPORTING IN A FIELD DEVICE - A machine data collection system compares a plurality of measured values to one another and determines the measured value indicating a worst-case condition. The machine data collection system then reports the worst-case measured value across the control network. In some embodiments, the measured values are normalized based on each individual measurement's typical range, or a user-defined operating range, thereby producing a plurality of normalized values each corresponding to one of the plurality of measured values. The data collection system compares the plurality of normalized values to a nominal value and determines the normalized value indicating the worst-case condition. The system reports the measured value corresponding to the worst-case normalized value. In some embodiments, the data collection system also reports the worst-case normalized value across the control network.03-12-2009
20110087459CLEANUP PREDICTION AND MONITORING - The examples described herein relate to methods and apparatus for cleanup prediction and monitoring. A disclosed method of predicting cleanup of a sample fluid obtained by a downhole tool includes drawing the sample fluid into the downhole tool via a probe assembly; measuring optical densities of the sample fluid at a plurality of different respective times; selecting at least some of the measured optical densities as fitting points; identifying one or more inversion parameters; and performing, via a processor, an inversion using the fitting points, the inversion parameters and simulation data to generate data associated with a predicted cleanup of the sample fluid.04-14-2011
20090048805Particle Imaging Systems and Methods Using Acoustic Radiation Pressure - The present invention comprises methods and systems that use acoustic radiation pressure.02-19-2009
20090326863SYSTEM AND METHOD FOR SENSOR PHASING USING A SUBSTRATE EDGE SIGNAL - A system and method for measuring a substrate edge signal for image sensor phasing. An intermediate transfer substrate edge signal can be effectively mapped by a substrate edge sensor and recorded for at least one complete revolution. A substrate edge signal from an inter-document zone sampled from any region of a substrate in runtime by a process sensor can also be recorded. A comparison or cross-correlation can be applied between the bare intermediate transfer substrate edge signal and the substrate edge signal sensed in the inter-document zone. A cross-correlation algorithm returns a maximum peak value when the two signals are registered in-phase with one another. This information can then be used to register the bare belt process sensor signal and the process sensor signal over the region of interest in-phase with one another. A flat-fielding algorithm can also be applied to the phase-aligned process sensor data to remove artifacts and compensate for substrate (e.g., belt) induced non-uniformities.12-31-2009
20100063773NONPARAMETRIC METHOD FOR DETERMINATION OF ANOMALOUS EVENT STATES IN COMPLEX SYSTEMS EXHIBITING NON-STATIONARITY - According to a feature of the present disclosure, a method is provided for the determination of anomalous events in complex systems, such as problems, inefficiencies, and failures, and a tool is provided for the detection of these events. Many complex systems are non-stationary or experience periodic fluctuations or spikes in values that are outside of normal ranges, but constitute normal behavior nevertheless. The method accounts for both non-stationarity, as well as fluctuations and spikes. Additional novel features include both a threshold setting initialization method and a regression method for the determination of the start points and end points of events.03-11-2010
20110178768System and Method of Adjusting a Resistance-Based Memory Circuit Parameter - Systems and methods of resistance-based memory circuit parameter adjustment are disclosed. In a particular embodiment, a method of determining a set of parameters of a resistance-based memory circuit includes determining a range of sizes for a clamp transistor and selecting a set of clamp transistors having sizes within the determined range of sizes. For each clamp transistor in the set of clamp transistors, a simulation may be executed to generate a first contour graph representing current values over a range of statistical values. The first contour graph may be used to identify a read disturbance area and a design range of the gate voltage of the clamp transistor and a load of the clamp transistor. The method may execute a simulation to generate a second contour graph representing sense margin over a range of statistical values of the gate voltage of the clamp transistor and the load of the clamp transistor. A sense margin may be selected based on the second contour graph that also satisfies the design range of the first contour graph. A sense margin may be determined for a selected clamp transistor in the set of transistors and the corresponding gate voltage and the load of the selected clamp transistor is determined based on the determined sense margin.07-21-2011
20100057399SYSTEMS AND METHODS FOR STRUCTURAL CLUSTERING OF TIME SEQUENCES - Arrangements and methods for performing structural clustering between different time series. Time series data relating to a plurality of time series is accepted, structural features relating to the time series data are ascertained, and at least one distance between different time series via employing the structural features is determined. The different time series may be partitioned into clusters based on the at least one distance, and/or the k closest matches to a given time series query based on the at least one distance may be returned.03-04-2010
20110098972Computer-Implemented Distributed Iteratively Reweighted Least Squares System And Method - Systems and methods are provided for performing an estimation using an iteratively reweighted least squares technique on a scenario defined by a design matrix, a response variable vector, and a parameter to be estimated. A system and method can be configured to include a root data processor, where a least squares estimate is calculated by the root data processor during each of a plurality of processing iterations. A plurality of node data processors can also be configured to: update values of a weight matrix according to a current state of the least squares estimate, determine a first intermediate value based on the design matrix and the weight matrix, determine a second intermediate value based on the design and weight matrices and the response variable vector. The root data processor calculates an updated least squares estimate based on the intermediate values.04-28-2011
20110077907SIGNAL-LEVEL DETERMINING DEVICE AND METHOD - An apparatus and method is disclosed for robustly detecting a signal in the presence of background noise which includes impulsive noise. Each value of a signal is mapped to a point on a semicircle defined by two coordinates on orthogonal axes in two-dimensional space. A respective mean is calculated of each of the two coordinates of the transformed points, and the two means are used to calculate a mean direction of the points on the semicircle. The mean direction is reverse-mapped back into the signal domain and compared against a detection threshold. The detection threshold may be set in dependence upon the concentration of the points on the semicircle.03-31-2011
20120303321MONITORING FOR INVALID DATA FROM FIELD INSTRUMENTS - Processing systems and methods used to identify faults in the operation of one or more field instruments are described and shown. In one embodiment, a sensing system includes one or more field instruments and a processing component configured to process data from the field instruments. This processing may include identifying invalid samples of data using an algorithm; correlating invalid samples of data to specific field instruments; and determining a likelihood of a fault occurring on the specific field instruments. The processing may occur in real-time using an online processing technique, or with an offline processing technique on data maintained in a data store.11-29-2012
20110040524TONER MASS SENSING PRECISION BY NORMALIZATION TO SUBSTRATE REFLECTANCE AND ADJUSTED FOR TONER MASS LEVEL - A method of normalizing sensor readings includes receiving a reading from a sensor configured to detect light reflected from a substrate; and normalizing the sensor reading based on a function of sensed mass level on the substrate. A processor for implementing the method is also provided.02-17-2011
20120150490MANAGEMENT SERVER, COMMUNICATION SYSTEM AND STATISTICAL PROCESSING METHOD - A communication system and a statistical processing method capable of performing statistical processing of user attribute distribution information on a sector-by-sector basis. An acquisition unit acquires, from each of a plurality of mobile equipments, a sector ID of a sector where located and a user identifier being, which is identification information of a mobile equipment, and the subscriber location information storage unit stores the acquired sector IDs in association with mobile equipments. Then, the sector level attribute distribution derivation unit aggregates the number of mobile equipments for each attribute of mobile equipments on a sector basis indicated by the sector ID based on subscriber information stored in the subscriber attribute information storage unit and location information stored in the subscriber location information storage unit. It is thereby possible to grasp statistical information for each attribute of mobile equipments on a sector-by-sector basis.06-14-2012
20080234973Method and System for Detecting Artifacts in Icu Patient Records by Data Fusion and Hypothesis Testing - A method for monitoring a patient employs hypothesis testing against each of several monitored signals to determine whether an artifact is present in the monitored signals. In the hypothesis testing, a null hypothesis includes an assumption that pairs of samples of highly correlated monitored signals of the several monitored signals have a predetermined distribution. The method determines that an artifact may exist in one of the monitored signals when the likelihood that the null hypothesis is true falls below a predetermined confidence value. This method can be embodied in an intelligent module for processing multiple data from one or more patients to filter out clinically significant changes in the patient from those changes caused by artifacts.09-25-2008
20080234976Statistical Methods for Multivariate Ordinal Data Which are Used for Data Base Driven Decision Support - A method of analysis including an intrinsically valid class of statistical methods for dealing with multivariate ordinal data. A decision support system that can (1) provide automated decision support in a transparent fashion (2) optionally be controlled by a decision maker, (3) provide for an evidence acquisition concept, including automatically increasing the content of an underlying database, and (4) provide a computationally efficient interactive distributed environment. The method is exemplified in the context of assisted diagnostic support.09-25-2008
20090240467Sensor fault detection systems and methods thereof - A method, computer readable medium and system for detecting a sensor fault includes identifying one or more of a plurality of tools to use with at least one of a plurality of data acquisition systems based on data obtained from and at least one characteristic of the at least one of the data acquisition systems. The identified one or more tools are utilized on the obtained data to determine at least one confidence rating. An operational status for the at least one of the data acquisition systems is determined and provided based on at least the one determined confidence rating.09-24-2009
20090112515DATA PROCESSING AND MANAGEMENT EQUIPMENT AND METHOD FOR DATA ANALYSIS OF PARTICLES IN SURFACE STRUCTURING DEVICE OR FILM FORMING DEVICE - Management of countermeasure of pollution particles deposited on an object to be processed is optimized based on a cause of the pollution. Data processing and management equipment 04-30-2009
20090210194EFFICIENT SPECTRAL MATCHING, PARTICULARLY FOR MULTICOMPONENT SPECTRA - An unknown spectrum obtained from infrared or other spectroscopy can be compared to spectra in a reference library to find the best matches. The best match spectra can then each in turn be combined with the reference spectra, with the combinations also being screened for best matches versus the unknown spectrum. These resulting best matches can then also undergo the foregoing combination and comparison steps. The process can repeat in this manner until an appropriate stopping point is reached, for example, when a desired number of best matches are identified, when some predetermined number of iterations has been performed, etc. This methodology is able to return best-match spectra (and combinations of spectra) with far fewer computational steps and greater speed than if all possible combinations of reference spectra are considered.08-20-2009
20110046919Method for accurate measurement of enzyme activities - This invention relates to a novel method for the use of specialized equipment to significantly improve the accuracy with which enzyme activities are measured. The method establishes an internal standard mathematical curve for the measurement of relative values for each unit in a complex mixture. The novel feature of the method is that the control is an integral part of each and every sample, so that any variation in test conditions affects the control in exactly the same manner as the sample. Therefore, this novel method forces each measured sample to have a separate control internal to each sample that is exactly matched as to all possible variables. Although some prior methods claim an internal control, the prior methods provide only a rough calibration to an external control, which results in substantial deficiencies in accuracy, reliability, and efficiency.02-24-2011
20100292958AUTOMATED HYPOTHESIS TESTING - A method of automatically applying a hypothesis test to a data set. The method reduces errors made in failing to appreciate predicate assumptions of various statistical tests, and elicits a series of indications from the user regarding characteristics of interest embodied by the data set to select an appropriate statistical test. The system also reduces errors in constructing competing null and alternative hypothesis statements by generating a characterization of the data and defining null and alternative hypotheses according to the indications, selected statistical test, and conventions adopted with respect to the tests. The system also establishes a significance level, calculates the test statistic, and generates an output. The output of the system provides a plain interpretation of the quantitative results in the terms indicated by the user to reduce errors in interpretation of the conclusion.11-18-2010
20100292957Automated baseline removal of signal - 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.11-18-2010
20110119029Nonparametric Method for Determination of Anomalous Event States in Complex Systems Exhibiting Non-Stationarity - According to a feature of the present disclosure, a method is provided for the determination of anomalous events in complex systems, such as problems, inefficiencies, and failures, and a tool is provided for the detection of these events. Many complex systems are non-stationary or experience periodic fluctuations or spikes in values that are outside of normal ranges, but constitute normal behavior nevertheless. The method accounts for both non-stationarity, as well as fluctuations and spikes. Additional novel features include both a threshold setting initialization method and a regression method for the determination of the start points and end points of events.05-19-2011
20120150489MULTI-STEP TIME SERIES PREDICTION IN COMPLEX INSTRUMENTED DOMAINS - A system, method and computer program product for improving a manufacturing or production environment. The system receives two or more time series data having values that represent current conditions of the manufacturing or production environment as inputs. The system determines one or more different regimes in the received two or more time series data. The system predicts future or unmeasured values of the received two or more time series data in the determined different regimes. The future or unmeasured values represent future conditions of the manufacturing or production environment.06-14-2012
20110125461DATA ANALYSIS APPLICATIONS - A system and method of monitoring equipment performance and predicting failures. The system can include a data historian that stores data for a piece of equipment and designates the data to tags. The tags can correspond to sensors that gather the data from the piece of equipment. A matrix model builder application can allow a user to generate regression models for various time spans to determine whether new data is within a normal operating range.05-26-2011
20110125459Testing linearity of methods of chemical analysis with various statistical tests - A method for testing the linearity or non-linearity of an actual analyte concentration and a test result, where the actual concentration of the analyte and a test result are determined so that a computation based upon an algorithm may be performed, which allows computation of various variables so that regression may be performed and the linear significance may be determined.05-26-2011
20090276182MACHINE FAULT DETECTION METHOD - A machine fault detection method is applied to a plurality of machines. The machines are used for processing at least one wafer-in-process (WIP). The method includes the flowing steps. A statistical database of the wafer-in-process is provided. An association rules is used to search and survey the statistical database in order to calculate a support degree and a reliability degree. A threshold is selected to determine whether the support degree and the reliability degree have surpassed the threshold or not. When the support degree and the reliability degree have surpassed the threshold, a root cause error in the statistical database corresponded by the support degree and the reliability degree is determined. When the support degree and the reliability degree have not surpassed the threshold, the above steps are repeated.11-05-2009
20090299693Laser System Calibration - Disclosed is a method to determine behavior characteristics of one or more modules of a laser system. The method includes applying inputs to the one or more modules of the laser system, measuring outputs resulting from the application of the inputs, and determining an equation-based mathematical relationship relating the inputs to the resultant outputs of the one or more modules of the laser system.12-03-2009
20090204365MODELING SPATIAL CORRELATIONS - Modeling spatial correlations of semiconductor characteristic variations is disclosed. In one embodiment, a method includes developing a solution for each of a plurality of specific forms of spatial correlations of a characteristic of a circuit design and developing a plurality of solution methods for a given spatial correlation; selecting one of the solutions that is closest to a desired spatial correlation; and modeling the desired spatial correlation using the selected solution.08-13-2009
20100030517METHOD AND DEVICE FOR THE DETERMINATION OF A STATISTICAL MEASUREMENT VALUE - 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.02-04-2010
20100030516Delay variation analysis apparatus and delay variation calculation method - A method for analyzing a delay time distribution of an N-stage circuit. The method includes a delay time calculation step of calculating maximum deviation delay time of a signal propagating through the circuit and basic delay time of the circuit, a delay variation calculation step of calculating a delay variation value of the N-stage circuit by using the mean square of differences between the maximum deviation delay time of the circuit and the basic delay time of the circuit taken over the N stages, and a step of generating the delay time distribution of the N-stage circuit as a normal distribution by using the calculated delay variation value.02-04-2010
20100088065METHOD FOR ASSESSING PROPERTIES OF FIBRE CEMENT BOARD - The invention is also its method of use for assessing fibre-cement board in order to predict the fibre content of the board, to predict the moisture content of the board, or to predict mechanical properties of the board comprising: a source of near infra red radiation; a near-infrared detector for obtaining a near-infrared spectra, the detector being mounted in association with a size roll; and means for predicting the fibre content of the board, the moisture content of the board, or the mechanical properties of the board by reference to the near-infrared spectra obtained.04-08-2010
20110153270OUTLIER PROCESSING - Apparatus, systems, and methods may operate to acquire an original data set comprising a series of data points having an independent portion and a dependent portion, the dependent portion representing a measure of device performance that depends on at least one device characteristic represented by the independent portion. Additional activity may include identifying outlier data points in the series by determining, in comparison with all other members of the series, whether the outlier data points conform to a known trend of the series; transforming the original data set into a transformed data set by removing the outlier data points from the series; and publishing the transformed data set. Other apparatus, systems, and methods are disclosed.06-23-2011
20080208527Statistical Processing Methods used in Abnormal Situation Detection - Detection of one or more abnormal situations is performed using various statistical measures, such as a mean, a median, a standard deviation, etc. of one or more process parameters or variable measurements made by statistical process monitoring blocks within a plant. This detection is enhanced in various cases by using specialized data filters and data processing techniques, which are designed to be computationally simple and therefore are able to be applied to data collected at a high sampling rate in a field device having limited processing power. The enhanced data or measurements may be used to provided better or more accurate statistical measures of the data, may be used to trim the data to remove outliers from this data, may be used to fit this data to non-linear functions, or may be use to quickly detect the occurrence of various abnormal situations within specific plant equipment, such as distillation columns and fluid catalytic crackers.08-28-2008
20110054839METHOD AND SYSTEM OF CONFIDENCE INTERVAL METHODOLOGY FOR RATIO MEANS - A method and system for determining whether the number of samples taken from a population of units where the distribution of X and Y variables are unknown by evaluating ratio mean measurements on a computer to determine a confidence interval. The method comprising: inputting samples from the total population with each unit sample having at least two variables X and Y; redefining the multivariate data that comprises the two variables X and Y; estimating the mean; computing the standard error; using a bootstrapping method, generating boot strap samples, computing a Z distribution based upon the bootstrap samples; and computing the confidence interval. The system comprises a processor for performing the steps of the method03-03-2011
20090138236METHOD OF PREDICTING PHOTORESIST PATTERNS DEFINED BY PHOTOMASK PATTERNS - A method of predicting photoresist patterns defined by a plurality of photomask patterns is described. The measurement data of photoresist patterns defined by patterns on a photomask that are arranged similar to the photomask patterns are provided. A physical optical kernel and a mathematical load kernel as a part of a Gaussian distribution function or other distribution function or as a combined function including a part of a Gaussian distribution function or other distribution function are provided. The optimal values of the parameters of the mathematical load kernel are determined by fitting the experiment data with a simulation based on the graphic data of the patterns on the photomask and the kernels. Photoresist patterns defined by the photomask patterns are simulated based on the graphic data of the photomask patterns, the physical optical kernel, and the mathematical load kernel with the optimal values of the parameters determined.05-28-2009
20120041715AUTOMATED HYPOTHESIS TESTING - A method of automatically applying a hypothesis test to a data set. The method reduces errors made in failing to appreciate predicate assumptions of various statistical tests, and elicits a series of indications from the user regarding characteristics of interest embodied by the data set to select an appropriate statistical test. The system also reduces errors in constructing competing null and alternative hypothesis statements by generating a characterization of the data and defining null and alternative hypotheses according to the indications, selected statistical test, and conventions adopted with respect to the tests. The system also establishes a significance level, calculates the test statistic, and generates an output. The output of the system provides a plain interpretation of the quantitative results in the terms indicated by the user to reduce errors in interpretation of the conclusion.02-16-2012
20110071791SIGNAL-LEVEL DETERMINING DEVICE AND METHOD - An apparatus and method is disclosed for robustly detecting a signal m the presence of background noise which includes impulsive noise. Each value of a signal is mapped to a point on a semicircle defined by two coordinates on orthogonal axes in two-dimensional space. A respective mean is calculated of each of the two coordinates of the transformed points, and the two means are used to calculate a detection threshold representative of the concentration of the points on the semicircle. A mean of the signal values is calculated and compared against the detection threshold. Alternatively, the mean is adjusted in dependence upon the concentration of the points on the semicircle and the adjusted mean is compared against a fixed threshold value.03-24-2011
20120209565SYSTEM AND METHOD TO DETECT PRINTING DEVICES WITH HIGH INCIDENT RATES - Method and systems of identifying a printing device having an exceptional incident rate among a plurality of printing devices are disclosed. For each of a plurality of printing devices, a processor receiving a printing device model, a print volume, and an incident count that includes a number of incidents occurring within a particular time frame. The processor determines a generalized linear regression model of the incident counts for each printing device model and also determines a predicted incident count for each printing device model using the generalized regression model. The processor determines a residual value for each printing device between the incident count for the printing device and the predicted incident count for the printing device model associated with the printing device. The processor identifies one or more printing devices having a residual value exceeding a threshold value.08-16-2012
20120010852METHOD FOR MONITORING WIND TURBINES - A method for determining damage to a rotor blade of a wind turbine, includes at least the following time-domain-analysis steps: measuring the vibrations of a rotor blade by means of an acceleration sensor; obtaining event-time intervals, in which the amplitudes of the measurements steadily exceed a threshold; obtaining the number of these event-time intervals in at least a predetermined analysis time interval; and sending an error signal, when the obtained number of the event-time intervals is above a predetermined threshold for a predetermined analysis time interval.01-12-2012
20110166827VERTICAL TRACK MODULUS TRENDING - Systems and methods for determining a trend in vertical track modulus are disclosed in accordance with embodiments of the present invention. Vertical deflection data is collected along a particular section of railroad track. A first set of vertical track modulus is determined, based in part, on the collected vertical deflection data. At a second time, vertical deflection data is again collected along the particular section of railroad track to be used in determining a second set of vertical track modulus. At least the first and second sets of vertical track modulus are analyzed to determine a mathematical algorithm that facilitates developing a trend in the vertical track modulus of the railroad track.07-07-2011
20080281557Method and system of using inferential measurements for abnormal event detection in continuous industrial processes - The present invention is a method and system for detecting an abnormal on-line analysis or laboratory measurement and for predicting an abnormal quality excursion due to an abnormal process condition.11-13-2008
20090150119MEASURED VALUE TRANSFORMATION METHOD AND MEASURED VALUE TRANSFORMATION SYSTEM - A plurality of first measured values (x06-11-2009
20120158360SYSTEMS AND/OR METHODS FOR EVENT STREAM DEVIATION DETECTION - Certain example embodiments described herein relate to systems and/or methods for event stream deviation detection. More particularly, certain example embodiments described herein relate to maintaining short and long-term statistics of an incoming stream of event data. In certain example embodiments, a deviation is calculated based at least in part on the long-term and short-term statistics. The deviation may then be compared to a threshold value. In certain example embodiments, the estimations required for the statistics are done with Kernel Density Estimators (KDEs).06-21-2012
20110077906PROGRAMMABLE CONTROLLER SYSTEM - A programmable controller system includes a programmable controller apparatus, a remote input and output apparatus connected to the programmable controller apparatus via a field bus and a monitoring apparatus configured to be located on a communication path between the programmable controller apparatus and the remote input and output apparatus and to monitor a communication data therebetween. The monitoring apparatus includes a rewritable tag for prescribing a condition for issuing a transmission request command with respect to an external equipment deterioration diagnosis and a command issuing part issues a transmission request command required for the external equipment deterioration diagnosis with reference to the tag. A preferable data logging operation is carried out properly without any PLC operation.03-31-2011
20100250187METHOD AND SYSTEM FOR ANALYZING PERFORMANCE METRICS OF ARRAY TYPE CIRCUITS UNDER PROCESS VARIABILITY - A method is disclosed for analyzing a performance metric of an array type electronic circuit under process variability effects. The electronic circuit has an array with a plurality of array elements and an access path being a model of the array type electronic circuit. The model includes building blocks having all hardware to access one array element in the array. Each building block has at least one basic element. In one aspect, the method includes deriving statistics of the access path due to variations in the building blocks under process variability of the basic elements, and deriving statistics of the full array type electronic circuit by combining the results of the statistics of the access path under awareness of the array architecture.09-30-2010
20100204956METHOD FOR PRESENTING MEASURED RESULTS FROM A NETWORK ANALYSER WITH A SIMULTANEOUS TOLERANCE DISPLAY - A method for determining measurement uncertainty of measured values of a network analyser. For every measured value of a respectively-selected measurement type, the measurement uncertainty is calculated in an internal computer of the network analyser 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 analyser, 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.08-12-2010
20120215487METHODS AND APPARATUS RELATED TO GATE BOUNDARIES WITHIN A DATA SPACE - In one embodiment, one or more processor-readable media storing code representing instructions that when executed by one or more processors cause the one or more processors to receive a set of parameter values defining a boundary within a data space associated with a dataset. The dataset can represent signaling related to a test substance. A first metric can be defined based on a first portion of the dataset associated with a first region defined by the boundary. A second metric can be defined based on a second portion of the dataset associated with a second region defined by the boundary after the boundary is modified. The second region can be different than the first region.08-23-2012
20120253742Method and System for Determining Parameters of Sinusoidal Signals - At least one parameter of a signal is determined, wherein the signal is a sinusoidal signal including noise, wherein the parameter includes at least one of a frequency of the signal, and an angle of a phase of the signal. The frequency of the signal is determined iteratively based on a linear relationship among the frequency of the signal, samples of the noise, and samples of the signal using a statistical correlation among the samples of the noise. During a current iteration the statistical correlation is updated based on the frequency of the signal determined during a previous iteration, and the samples of the signal are updated with values of the signal during a current period of time.10-04-2012
20120316833 Method and Apparatus for Analysing Data Representing Attributes of Physical Entities - Methods for analysis of electronic data which comprises, for each of a set of physical entities, attribute values representing attributes of the respective physical entity and an outcome value representing an observed outcome for the entity which may be used to generate a model for predicting the outcome value for another physical entity of the same type. The data is processed using a statistical modelling method to generate a model based on the data. The method then involves calculating a case deleted estimate of the outcome value for each of the set of physical entities using the processor; calculating a measure of the deviance of the case deleted estimates from the actual outcome values in the input data; and outputting the calculated deviance measure to the data storage for retrieval by a user.12-13-2012
20120226475SUBSTRATE PROCESSING SYSTEM, MANAGEMENT APPARATUS, DATA ANALYSIS METHOD - A substrate processing system including a management apparatus, the management apparatus including: a substrate processing apparatus configured to process a substrate; an accumulation unit configured to accumulate measurement data transmitted from the substrate processing apparatus; a storage unit configured to individually store an item of the measurement data regarding an operation state of the substrate processing apparatus, a type of statistics applied to the measurement data, and a condition used for determining the statistics; and an extraction unit configured to extract a combination of data for which the measurement data accumulated in the accumulation unit is determined to be abnormal, with respect to a combination of data including the item of the measurement data, the statistics, and the condition stored in the storage unit.09-06-2012
20120259583AUTOMATED FAULT DETECTION AND DIAGNOSTICS IN A BUILDING MANAGEMENT SYSTEM - Systems and methods for automated fault detection in a building management system are shown and described. The systems and methods further involve organizing the data set into bins, each bin containing a plurality of the observed points for the variable of the building management system. The systems and methods further involve calculating, for each bin, a target parameter and an estimator of scale for the observed points. The systems and methods further involve detecting, for each bin, an outlier of the building management system by comparing a data point of the bin to the calculated target parameter and estimator of scale for the bin.10-11-2012
20120232842COMPUTING IMAGING DATA USING INTENSITY CORRELATION INTERFEROMETRY - A method includes receiving, at a computational station, photodetection data, originating at a source, encompassing a set of frequency channels and collected at a number of light gathering telescopes. The method also includes determining correlation between the received photodetection data in each frequency channel, and determining a time average of the correlation between the received photodetection data in the each frequency channel. Further, the method includes determining an average over the set of frequency channels to arrive at a mutual coherence magnitude for each pair of the number of light gathering telescopes, and computing imaging data of the source based on the determined mutual coherence magnitude and the correlation between the received photodetection data.09-13-2012
20110004442AUTOMATED HYPOTHESIS TESTING - A method of automatically applying a hypothesis test to a data set. The method reduces errors made in failing to appreciate predicate assumptions of various statistical tests, and elicits a series of indications from the user regarding characteristics of interest embodied by the data set to select an appropriate statistical test. The system also reduces errors in constructing competing null and alternative hypothesis statements by generating a characterization of the data and defining null and alternative hypotheses according to the indications, selected statistical test, and conventions adopted with respect to the tests. The system also establishes a significance level, calculates the test statistic, and generates an output. The output of the system provides a plain interpretation of the quantitative results in the terms indicated by the user to reduce errors in interpretation of the conclusion.01-06-2011
20120323529METHOD FOR LOCATING AND DETECTING THE POSITION OF THE WHEELS OF A VEHICLE - A method for locating the position of the wheels of a vehicle, each wheel being equipped with a sensor capable of emitting a location signal and the vehicle being equipped with a receiver capable of receiving the location signals emitted by the sensors. The method includes the step of determining a signature of the location signal emitted by the sensor of each wheel as a function of the position of the wheel on the vehicle, and the step of storing in the receiver the signature and the corresponding position of each of the wheels. The receiver is equipped with at two least two antennas, called first and second antennas, the signature of the location signal emitted by the sensor of each wheel being determined from the strength difference between the strength of the signal received by the first antenna and the strength of the signal received by the second antenna.12-20-2012
20120323528Systems and Methods for Acquiring and Characterizing Time Varying Signals of Interest - Methods of making classifications. One method acquires groups of data, derives features of potential interest in a first data group, and analyzes features using a classification tree and a statistically based classification process to draw a classification conclusion on identity with an associated level of confidence. Features associated with a signal of potential interest may be derived with at least a second group of data. A statistical algorithm may perform linear discrimination analysis, or a quadratic discrimination analysis or a logistic regression classification analysis. A related method includes acquiring signal data with a sensor device comprising piezo-electric material and detecting a signal by performing detections on signal data from the sensor device. Determinations are provided when detections surpass defined thresholds of confidence.12-20-2012
20120330611MONITORING ACCESS TO A LOCATION - Devices, methods, and systems for monitoring access to a location are described herein. One or more method embodiments include determining data associated with an access event associated with a location, determining whether the access event is an anomalous access event using the data associated with the access event and a statistical model of data associated with a number of non-anomalous access events associated with the location, and assessing, if the access event is determined to be an anomalous access event, the anomalous access event. In various embodiments, assessing the anomalous access event includes at least one of determining an anomaly type associated with the anomalous access event, determining an anomaly classification confidence associated with the anomalous access event, determining an anomaly severity associated with the anomalous access event, and determining a reliability associated with the statistical model.12-27-2012
20080312872Apparatus And Method Of Non-Sampling-Based Q-Factor Measuring - A non-sampling-based Q-factor measuring apparatus and method use a power conversion module to transform the power variation of inputted optical signals in time domain into the variation in other domains, such as optical wavelength, optical polarization and different output ports of optical elements. Taking optical wavelength as an example, different levels of power variation respond different outputs of wavelength variation through the use of a power-to-wavelength conversion module. An optical filter then separates the inputted optical signals with different wavelengths. The power average of a wavelength for its corresponding optical signals is further calculated by a photo detector. Thereby, the information of the power variation for the inputted optical signals at levels 1 and 0 can be obtained, and the Q-factor for the inputted optical signals is easily measured.12-18-2008
20120330612SYSTEM AND METHOD FOR AUTOMATICALLY CREATING SCALAR DATA SETS FOR COMPLEX DATA VIA A RESPONSE DATA HANDLER - The present invention provides a system and method for automatically generating reduced response data sets from complex scientific data via a response data handler (RDH) methodology, thereby eliminating non-systematic losses and oversights often associated with and resulting from the current practice while improving the overall integrity and confidence of the results typically sought in experimental practice.12-27-2012
20110320167Method and System for Evaluating Analyte Sensor Response Characteristics - 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.12-29-2011
20110320166GLUCOSE SENSOR SIGNAL STABILITY ANALYSIS - Disclosed are methods, apparatuses, etc. for glucose sensor signal stability analysis. In certain example embodiments, a series of samples of at least one sensor signal that is responsive to a blood glucose level of a patient may be obtained. Based at least partly on the series of samples, at least one metric may be determined to assess an underlying trend of a change in responsiveness of the at least one sensor signal to the blood glucose level of the patient over time. A reliability of the at least one sensor signal to respond to the blood glucose level of the patient may be assessed based at least partly on the at least one metric assessing an underlying trend. Other example embodiments are disclosed herein.12-29-2011
20120290261Valve actuator fault analysis system - A valve actuator fault analysis system for detecting, analyzing and reporting valve actuator performance characterized as deviations, malfunctions and failures. The fault analysis system includes an expert system that monitors the valve actuator and related components, such as the power supply and signal line, for determining causal factors of degraded and/or defective performance; generation of fault-analysis reports in a readable text format file; and methods for characterizing deviations, malfunctions and failures, for generating and concatenating event messages and for detecting and characterizing events that take place in valve actuators, peripheral systems and devices and displaying the results on a display device. The system can operate either in conjunction with, or be embedded in the hardware of a pneumatic valve positioner, an electrical valve actuator and/or similar devices, and can receive messages from external sources, process them, and produce fault-analysis reports in text format for display to the user.11-15-2012
20100169045MEASUREMENT APPARATUS FOR IMPROVING PERFORMANCE OF STANDARD CELL LIBRARY - Disclosed herein is a measurement apparatus for improving performances of standard cells in a standard cell library when verifying performance of the standard cell library through a ring oscillator among various test element groups (TEGs). The measurement apparatus includes a ring oscillator block activated in response to an enable signal externally inputted thereto for outputting measurement result values, a decoder for selectively outputting one or more of the measurement result values from the ring oscillator block, and a statistics assistor for receiving output values from the decoder for a predetermined period and outputting a maximum value, a minimum value and an average value of the received values. The ring oscillator block includes a pulse generator for generating a pulse in response to the enable signal, a pulse stable unit for synchronizing the pulse generated by the pulse generator with a system clock pulse, a clock enable unit for outputting the system clock pulse according to a state of the pulse outputted from the pulse stable unit, a counter operating at any one of a rising edge and falling edge of the system clock pulse outputted from the clock enable unit, and a captured data storage unit responsive to the enable signal for receiving an output of the counter and storing a final count value or outputting it to the decoder.07-01-2010
20110161047INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING METHOD, AND PROGRAM - Provided is an information processing device including a parameter setting unit that sets a parameter to be used for calculating a given statistic based on event occurrence time information related to a time when a certain event occurred, a period dividing unit that divides a calculation period for which the given statistic is calculated into a plurality of unit periods based on a base unit time set by the parameter setting unit, a count unit that counts a number of occurrences of the certain event for each of the plurality of unit periods based on the event occurrence time information, and a statistic calculation unit that calculates a statistic indicating a pattern of occurrences of the certain event by using a count result of the count unit.06-30-2011
20130024159PARALLEL OUTLIER DETECTION - A method, system and computer program product for detecting outliers in a set of data points. In one embodiment, the method comprises partitioning the set of data points into a plurality of bins with each of the data points assigned to a respective one of the bins. A plurality of local lists are formed in parallel identifying points in the bins as outliers, and the local lists are merged into a global list to identify one or more of the points as outliers of the data set. Embodiments of the invention provide an outlier detection system that can parallelize in two levels. The dataset is split into partitions, called bins, and outliers are found in each bin in parallel. The execution of a single bin is also parallelized. Embodiments of the invention can scale to very large datasets by these two modes of parallelism.01-24-2013
20130173215ADAPTIVE TREND-CHANGE DETECTION AND FUNCTION FITTING SYSTEM AND METHOD - Methods and apparatus are provided for adaptively detecting trend changes in data. An initial set of data points is collected and a curve fit thereof is computed. A set of new data points is collected, and whether or not a trend change has occurred is detected. If a trend change has not occurred, the set of new data points is made part of the initial set of data points, and the steps of computing a curve fit, collecting new data points, and detecting whether or not a trend change has occurred are repeated. If, however, a trend change has occurred, a determination is made as to where the trend change was initiated, a curve fit for all data collected from where the detected trend change was initiated is computed, and the steps of collecting new data points and detecting whether or not a trend change has occurred are repeated.07-04-2013
20130173216SYSTEM AND METHOD FOR PROCESSING A POINT CLOUD USING A COMPUTING DEVICE - In a method for processing a point cloud using a computing device, a straight line fitted by the point cloud comprising border points is determined as a benchmark line. An inflection point in the point cloud of the benchmark line is determined. If the vertical distance of the inflection point is not greater than the preset filtration value, needless border points in the point cloud are deleted and a remainder point cloud is obtained. If the vertical distance between the inflection point and the benchmark line is greater than a filtration value, the point cloud is divided into two sub-point clouds, and the one sub-point cloud having border points less than the preset number is deleted, and the other sub-point cloud is set as a remainder point cloud.07-04-2013
20080249742METHODS AND APPARATUS FOR DATA ANALYSIS - A method and apparatus for data analysis according to various aspects of the present invention is configured to automatically select one or more outlier identification algorithms for identifying statistical outliers in test data for components.10-09-2008
20080234974Efficient design process for the allocation of variability to non-normally distributed components of complex systems and for the estimation of the system response probability density - A method for implementing a point estimation method (PEM) that predicts variability of a system output response based on variabilities of inputs includes building a customized designed experiment such that each input variable x for the designed experiment is assigned a number of variable values n based on the respective input variable's contribution p to overall response variability.09-25-2008
20130151197AUTOMATED PERFORMANCE MEASUREMENT PROCESSES AND SYSTEMS - Certain examples provide methods and systems to monitor performance. An example method includes triggering automated execution of one or more applications on one or more medical servers according to a selected template providing data for application execution. The example method includes monitoring the execution of the one or more applications to collect application execution information. The example method includes generating one or more log files based on the monitoring of the execution. The example method includes invoking a monitoring tool to process the log files and to provide statistical analysis regarding performance. The example method includes creating a report based on the statistical analysis.06-13-2013
20080221831METHOD AND SYSTEM FOR YIELD SIMILARITY OF SEMICONDUCTOR DEVICES - A method and system for yield similarity of semiconductor devices. The method includes providing a first plurality of semiconductor devices, providing a second plurality of semiconductor devices, obtaining a first plurality of yields associated with a first yield, and obtaining a second plurality of yields associated with a second yield. Additionally, the method includes performing a first statistical analysis for the first plurality of yields, determining a first statistical distribution, performing a second statistical analysis for the second plurality of yields, and determining a second statistical distribution. Moreover, the method includes processing information associated with the first statistical distribution and the second statistical distribution, and determining an indicator. Also, the method includes processing information associated with the indicator, determining a confidence level, processing information associated with the confidence level, and determining whether the first yield and the second yield are similar.09-11-2008
20110313727DATA CENTER PHYSICAL INFRASTRUCTURE THRESHOLD ANALYSIS - Analyzing one or more physical infrastructure elements of a data center by generating a plurality of outputs from a stochastic process for a set of inputs to the stochastic process. The inputs comprise one or more inputs of certainty and one or more inputs of uncertainty. A statistical output analysis of the outputs is utilized to generate one or more threshold reaching projections for each of the physical infrastructure elements of the data center.12-22-2011
20110313726CONDITION-BASED MAINTENANCE SYSTEM FOR WIND TURBINES - A condition-based maintenance system having instrumentation for collecting data from one or more wind turbines and having a performance monitor for analyzing the data. Also, the system may have a wind turbine anomaly detector. Information from the performance monitor and the anomaly detector may be used for indicating conditions of the one or more wind turbines. These conditions may be a basis for determining maintenance recommended for any of the wind turbines.12-22-2011
20130132029SYSTEMS AND METHODS FOR APPLYING DATA MAPPING TECHNIQUES TO ASSESSMENT AND DIAGNOSTIC TEST RESULTS - Systems and methods for analyzing the results of a diagnostic-assessment test result of a subject with respect to those of a comparison population or subpopulation of interest are disclosed. A first set of testing conditions and/or demographic characteristics and their corresponding values are used optionally to identify a subpopulation of interest and select appropriate data from a general-population database. A second (and optionally a third) set of testing conditions and/or demographic characteristics (which may optionally be identical to the first) are then used to project either or both of the subject's test score or the test scores for the population or optional subpopulation of interest to a common basis of testing conditions and/or demographic characteristics using one or more projection functions specific to the testing condition and/or demographic characteristic, as applied to a particular test. A metric of comparison is then determined for the testing subject with this projected data.05-23-2013
20130144555AUTOMATED HYPOTHESIS TESTING - A method of automatically applying a hypothesis test to a data set. The method reduces errors made in failing to appreciate predicate assumptions of various statistical tests, and elicits a series of indications from the user regarding characteristics of interest embodied by the data set to select an appropriate statistical test. The system also reduces errors in constructing competing null and alternative hypothesis statements by generating a characterization of the data and defining null and alternative hypotheses according to the indications, selected statistical test, and conventions adopted with respect to the tests. The system also establishes a significance level, calculates the test statistic, and generates an output. The output of the system provides a plain interpretation of the quantitative results in the terms indicated by the user to reduce errors in interpretation of the conclusion.06-06-2013
20080201103Robust Detection of Variability in Multiple Sets of Data - The present teachings comprise systems and methods for calibrating the background or baseline signal in a PCR or other reaction. The background signal derived from detected emissions of sample wells can be subjected to a normalized statistical metric, and be compared to a threshold or other standard to discard outlier cycles or other extraneous data. According to various embodiments, a relative standard deviation (relativeSTD) for the background component can be generated by dividing the standard deviation by the median of differences across all wells, where the difference is defined as the difference between maximum and minimum pixel values of a well. The relativeSTD as a metric is not sensitive to machine-dependent variations in absolute signal output that can be caused by different gain settings, different LED draw currents, different optical paths, or other instrumental variations. More accurate background characterization can be achieved.08-21-2008
20080201102Method for capturing local and evolving clusters - The present invention provides a method of detecting the growth and development of clusters in a data set. The data set is divided into a number of slices and an algorithm is applied to the data held in each data slice set. Each slice can be compared with the subsequent slice to determine which clusters persist from slice to slice. Random data agglomerations in a single slice may give the appearance of a cluster but their random nature means that they are unlikely to persist so those clusters that persist across a number of slices, or that show the strongest measure of persistence, are most likely to represent a data cluster that represents a situation of interest.08-21-2008
20100286954METHOD FOR DETERMINING LIGHTNING HAZARD DISTRIBUTION OF POWER NETWORK - A method for determining a lightning hazard distribution of a power network, includes: deriving a shielding failure lightning hazard distribution of the power network and a back flashover lightning hazard distribution of the power network from the number of ground lightning in each grid and ranges of hazardous currents, and deriving a historical lightning hazard distribution of the power network from a lightning faults database of the power network and the grids; and determining the lightning hazard distribution of the power network by integrating the shielding failure lightning hazard distribution of the power network, the back flashover lightning hazard distribution of the power network and the historical lightning hazard distribution of the power network.11-11-2010
20100286953PATH LOSS CALCULATION METHOD USING REFLECTION PATH AS DOMINANT PATH - Provided is a method for calculating a path loss using reflection paths as dominant paths. The method includes determining a reflection plane and a reflection point in case of reflection; calculating electric field strength for the determined reflection plane and reflection point; calculating electric field strength based on a statistical loss value by diffraction according to a propagation environment in case of diffraction; and calculating a path loss based on the calculated electric field strength for reflection and the calculated electric field strength for diffraction.11-11-2010
20100286952METHOD, SYSTEM, AND COMPUTER PROGRAM PRODUCT FOR DETERMINING A HANG STATE AND DISTINGUISHING A HANG STATE FROM AN IDLE STATE - 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.11-11-2010
20120283988AUTOMATED SYSTEM AND METHOD FOR IMPLEMENTING UNIT AND COLLECTIVE LEVEL BENCHMARKING OF POWER PLANT OPERATIONS - Systems and methods for implementing benchmarking analysis for power plant operations comprise electronically accessing power plant operational data within at least one type of operation within a power plant, electronically analyzing data from one or more power plant components within one or more different power plant units in one or more collections of multiple power plant units to identify cycles and key events on one or more of a component level, a unit level and a collective level of multiple power plants, generating at least one scorecard summary of calculated power plant operational characteristics on selected levels of operation comprising one or more of a component level, unit level and collective level of power plant units, and providing the at least one scorecard summary as electronic output to a user. Additional optional steps include using the data from the scorecard summary to detect outliers and/or to cluster selected components, units or fleets having similar operational characteristics.11-08-2012
20130158951METHODS AND APPARATUS FOR ANALYZING TEST DATA IN DETERMINING THE EFFECT OF DRUG TREATMENTS - Methods and apparatus provide for: receiving pre-clinical data measured during drug treatment of a plurality of mammals including at least two treatment groups; performing at least one EXACT, non-parametric, statistical hypothesis test comparing the pre-clinical data for the at least two treatment groups; and performing a Multiple Comparison Procedure (MCP) on the pre-clinical data for at least two comparisons, where the EXACT, non-parametric, statistical hypothesis test and the MCP are conducted on the pre-clinical data to produce one or more p-values, each p-value representing whether an associated one of the treatment groups has experienced a statistically significant improvement or decline in one or more conditions of the mammals associated with the treatment.06-20-2013
20120029872SYSTEM AND METHOD FOR ANALYZING RELIABILITY OF ELECTRONIC DEVICE - A system and method analyze reliability of an electronic device using a computing device. The method generates a component coding rule for components of the electronic device, establishes a BOM table for the electronic device according to the component coding rule, and generates component codes for the components according to the component data. The method further classifies the components into different component types according to the component codes, and calculates a failure rate for each of the components according to a parameter equation, obtains mean time between failures (MTBF) of the electronic device by calculating a sum of the failure rates of all the components. In addition, the method generates a reliability analysis report of the electronic device according to the MTBF of the electronic device. and outputs the reliability analysis report to an output device.02-02-2012
20120078574Monitoring System and Display For Use In A Monitoring System - A monitoring system for use in monitoring a machine includes at least one sensor for use in measuring at least one operating condition of the machine and at least one monitoring module coupled to the at least one sensor. The at least one monitoring module includes at least one display formed integrally with the monitoring module and configured to display real-time data representative of a currently measured operating condition of the machine and to display historical data representative of a previously measured operating condition of the machine such that a user is enabled to visually compare the historical data with the real-time data.03-29-2012
20120084057METHODS AND SYSTEMS FOR PREDICTING AN OPTICAL FIBER PERFORMANCE PARAMETER - A method for predicting an optical fiber performance parameter includes measuring N values for the optical fiber performance parameter at N stages during manufacture or installation of a first optical fiber, where N is an integer. A first set of correlation values is generated representing shifts in the measured optical fiber performance parameter values at the N stages. An installed value of the optical fiber performance parameter is estimated for a second optical fiber based on the first set of generated correlation values and at least one measured optical fiber performance parameter value associated with the second optical fiber.04-05-2012

Patent applications in class Statistical measurement

Patent applications in all subclasses Statistical measurement