Abstract: The method includes the steps of: storing a plurality of parameter sets; selecting one of the plurality of parameter sets as a test parameter set to be evaluated; measuring performance only for one batch job out of N (N is a positive integer) batch jobs constituting full set performance measurement for the test parameter set; and calculating an evaluation value on the basis of a difference between an integral of measurement values obtained until the performance has been measured for r (r is a positive integer smaller than N) batch jobs by using the test parameter set; and an integral of mean measurement values of the performance for the r batch jobs by using an optimal parameter set which is one of the parameter sets used in the performance evaluation having been performed; determining whether or not the evaluation value has deviated from a predetermined evaluation continuing range; and terminating the evaluation of the test parameter set on condition that it is determined that the evaluation value has deviat

Abstract: A method for generating scatter-plots similar to classic ROC curves to gain an understanding of the tradeoffs between probability of detection and probability of false alarm for detections systems. The method uses a stochastic optimization and an objective function to maximize probabilities of detection for probabilities of false alarm that are arbitrarily close to some target probability of false alarm.

Abstract: A method is provided for analyzing and diagnosing a large scale process automation control system having a plurality of control loops. Assessments for pre-defined key performance indicators (KPIs) are automatically generated for control, process and signal sections of each control loop. The automatically generated assessments of the pre-defined KPIs may be displayed in a graphical user interface (GUI) of a computer. A user may change the automatically generated assessments of the pre-defined KPIs. Different data views may also be displayed in the GUI. The data views include time series trends for measured process variable, controller output, controller set point and error, as well as controller parameter clustering views in two-dimensional and three-dimensional plots.

Abstract: A system and method of monitoring and diagnosing on-line multivariate process variable. Multivariate process data includes multiple process variables each having a multiple observations. On-line process data is collected from a process control system when the process is on-line. The on-line process data includes multiple observations of multiple process variables. A multivariate statistical analysis represents the operation of the process based on a set of the on-line process data. The representation a result. The representation and the set of on-line process data are stored. An output is generated based on a parameter of the representation. The parameter includes a result generated by the representation of the operation of the process, a process variable used to generate the representation of the operation of the process and/or the set of collected on-line process data.

Abstract: In one embodiment, a method implemented by a processor that receives plural sets of values corresponding to plural matched pairs of anomalies from a first inspection and second inspection following the first inspection, a first portion of each pair corresponding to the first inspection and a second portion of each pair corresponding to the second inspection, the plural sets of values corresponding to wall loss information for plural locations of a fluid carrying vessel; computes first and second statistical descriptions of a respective accuracy of the first and second inspections; and computes a revised estimate of the plural sets of values based on the first and second statistical descriptions.

Abstract: Implementations for mobile device notifications are disclosed. In one implementation, a method for a mobile device is disclosed. The method includes outputting a first notification of an event at the mobile device responsive to occurrence of the event. The method further includes discontinuing the first notification after a period of time. The method further includes receiving an indication of motion of the mobile device via a motion sensor of the mobile device after discontinuing the first notification. The method further includes outputting a second notification of the event at the mobile device after discontinuing the first notification responsive to receiving the indication of motion of the mobile device.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: The present invention discloses methods and systems for analyzing microarray data. The method includes the general steps of providing microarray data, normalizing the data using a least trimmed squares regression, and then analyzing the normalized microarray data to obtain a desired result such as an expression profile. There is also disclosed a method of subdividing an array into subarrays before normalization. This approach provides a method for improving measurement accuracy and salvaging array data from arrays containing minor defects. Also disclosed is a Probe-Treatment-Reference (PTR) model for streamlining normalization and summarization of microarray data by allowing multiple references. Other aspects of the present invention include computer systems and computer readable media encoding methods of the present invention.

Abstract: 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.

Abstract: A system for geosteering during directional drilling of a wellbore including a processor, a data storage, and client devices in communication with the processor through a network. The processor can receive data from directional drilling equipment and can present that data to users in an executive dashboard. Users can send data and/or commands to the directional drilling equipment. The executive dashboard can present: a portion of interest in a stratigraphic cross section for user identification of: the drill bit in the stratigraphic cross section, formations in the stratigraphic cross section, and other formation data. The system can be used to: identify a projected path for the drill bit, import data, compute wellbore profiles and stratigraphic cross sections, plot actual drilling paths, overlay the actual drilling path onto the projected path, and present control buttons to the user.

Abstract: A method for geosteering during directional drilling of a wellbore including a processor, a data storage, and client devices in communication with the processor through a network. The processor can receive data from directional drilling equipment and can present that data to users in an executive dashboard. Users can send data and/or commands to the directional drilling equipment. The executive dashboard can present a portion of interest in a stratigraphic cross section for user identification of the drill bit in the stratigraphic cross section, formations in the stratigraphic cross section, and other formation data. The method can be used to identify a projected path for the drill bit, import data, compute wellbore profiles and stratigraphic cross sections, plot actual drilling paths, overlay the actual drilling path onto the projected path, and present control buttons to the user.

Abstract: 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.

Abstract: A method for analysing blade displacements detected by circumferentially-spaced stationary timing probes associated with a rotating blade assembly, the displacements corresponding to times at which the blades pass the probes.

Abstract: This disclosure describes systems, methods, and apparatus for predicting electrical power output from wind farms using statistical methods and measured wind speeds near boundaries of control volumes that encompass the wind turbines of interest. These systems, methods, and apparatus can provide electrical power output predictions of up to 6, 12, 24, or 48 hours in advance of actual power reaching the grid.

Abstract: The invention relates to a method for gender identification of a cell-phone subscriber. There are two main steps: constructing a general model of female and male calling behaviour from a set of variables obtained for each subscriber; and classifying an individual calling behaviour of a subscriber comparing it with the general model. The method includes the step of constructing the general model comprises obtaining a set of data, that may be obtained from calling detail records, that are saved at a database every time a subscriber makes or receives a phone call; computing a set of variables using a set of instances from subscribers who their gender is already known; and applying an algorithm which generates groups labelled as male or female behaviour. Finally, in the step of classifying, the gender of the subscriber is identified by assigning to the subscriber the label of the closest group.

Abstract: The present invention provides a method and model for monitoring the pretreatment process of a low-k block layer. The method comprises measuring film parameters of the film formed on the silicon substrate after applying the pretreatment process for different time periods; creating a statistical process control curve according to the film parameters; setting a SPC control limit; determining the pretreatment process normal when the data point of measurement in the SPC curve is within the control limit while determining the pretreatment process abnormal when the data point of measurement in the SPC curve exceeds the control limit. According to the present invention, the failure of the pretreatment process can be prevented to improve the product reliability and stability.

Abstract: Identifying periodic jitter in a signal includes identifying transition regions of the signal, where the transition regions correspond to regions of the signal where the signal changes between different levels, determining lengths of the transition regions; and performing a statistical analysis that is based on the lengths of the transition regions in order to obtain a value indicative of a level of periodic jitter in the signal.

Abstract: Provided are a method and apparatus for obtaining a minimum cost vector for making a skyline object in a multi-dimensional space. The method includes calculating respective vector values having a query point and respective moving points to which the query point is moved as both end points in a multi-dimensional space having a plurality of coordinate axes, and selecting a vector value whose moving point is included in a skyline and has the minimum distance value from the query point as the minimum vector value from among the vector values.

Abstract: 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.

Abstract: The invention refers to a computer implemented method, a computer system a test machine and a computer program product for executing conditioned and qualified test. An ordering instance may order a set of tests, comprising an initial test and a set of follow-up tests, wherein the execution of each of the follow-up tests is dependent of the result of the respective predecessor test, like the initial test. The conditions for executing the follow-up tests are dynamically definable and are analyzed automatically.

Abstract: Water droplets in exhaust gas that is, or was, analyzed by a remote emissions sensing system are detected. The detection may be made using measurements generally captured by the remote emissions sensing system during typical operation. As such, the detection may be applied “on site” as remote emissions sensing analysis is ongoing, or may be applied post hoc from data previously acquired by a remote emissions sensing system. The detection may be implemented without requiring additional sensors, more sophisticated sensors, and/or other additional or more sophisticated equipment being included in the remote emissions sensing system.

Abstract: In a particular embodiment, a method is disclosed that estimates a total static noise margin of a bit cell of a memory. The method includes determining a correlation coefficient of a left static noise margin of the bit cell as compared to a right static noise margin of the bit cell and estimating a total static noise margin of the bit cell by evaluating an analytical function based on the correlation coefficient.

Abstract: Determining a sustainability impact for available data center architectures. A data center is accessed by a computer. Two or more functional parameters of the data center are then evaluated by the computer. Then, the computer combines the two or more evaluated functional parameters into a quantified judgment to determine a sustainability impact of available architectures of the data center.

Abstract: This invention relates to the Life Cycle Management System for distributed Intelligent Electronic Devices (IED) starting from the design phase to the end of service phase. Hence, it caters to the needs from installation via engineering, installation/commissioning phases, until asset management and remote service support of the devices during the operational phase The increasing decentralization of the involved components via networks, especially via the Internet, is a key criterion and needs to be addressed by the life cycle management. The added value for the customer grows disproportionately with the degree of integration of multiple independent software components into a complex and often highly distributed control system. The architecture of today's control systems must be sufficiently flexible to allow customers to regard their plant components from various locations.

Abstract: The system according to the invention interprets sensor observations by tracking objects and by collecting information about the objects by means of the tracking and by using this information for affirming events linked to the objects and in producing information describing the events. The system detects events according the conditions defined for them, on the basis of sensor observations. The conditions can relate to the essence of the objects, e.g. to the strength of the observations linked to the object, to the size and/or shape of the object, to a temporal change of essence and to movement. The event conditions used by the system can comprise conditions applying to the location of the object. The system according to the invention can be used e.g.

Abstract: An apparatus monitoring system includes a plurality of sensors monitoring the operation of the apparatus; a real-time monitoring system that receives sensor data from the sensors according to a periodic sensor data time; and a non-real-time analysis system periodically receiving a collection of the sensor data from the real-time monitoring system. The non-real-time analysis system analyzes a plurality of the collections over a time greater than the periodic sensor data time and provides the results of the analysis to the real-time monitoring system during a subsequent periodic sensor data time. The real-time monitoring system outputs a combination of the sensor data and the analysis results according to the periodic sensor data time.

Abstract: An embodiment is a method for de-embedding. The method comprises forming a primary structure in a semiconductor chip and forming an auxiliary structure in the semiconductor chip. The auxiliary structure replicates a first portion of the primary structure. The method further comprises determining a transmission matrix for each of the primary structure and the auxiliary structure based on measurements and extracting a transmission matrix of a first component of the primary structure by determining a product of the transmission matrix of the primary structure and an inverse of the transmission matrix of the auxiliary structure.

Abstract: This invention provides an instrument for obtaining consent for a genetic test that comprises three or more integrated elements including an information element for conveying information to an individual concerning a genetic test, and instruction element for use by a practitioner in instructing individuals on the genetic test and use of the instrument, a collection element for collecting an individual's medical and family history, a assessment element for assessing the individual's retention and understanding of information concerning a genetic test, a certification element for certifying the individual's consent to said tests, as well as housekeeping elements useful for recording a medical record, labeling a sample, and billing. Also provided is a method for obtaining informed consent for a genetic test using an integrated instrument. The instruments and methods disclosed have utility in obtaining informed consent for genetic tests.

Abstract: A method of method of manufacturing an integrated circuit. The method comprises performing an electromigration reliability rule-check for at least one of via node of an integrated circuit, including: calculating a net effective current density of the via node. Calculating the net effective current density including determining a sum of effective current densities for individual leads that are coupled to the via node. Leads configured to transfer electrons away from said via node are assigned a positive polarity of the effective current density. Leads configured to transfer electrons towards the via node are assigned a negative polarity of the effective current density.

Abstract: A method for predicting polarization mode dispersion (PMD) in an installed optical fiber. Values of PMD are measured for a first optical fiber at various points in time during the manufacture and installation of the first optical fiber. Values of PMD are identified that correspond to sensitive ones of the various points in time. A set of correlation coefficients is calculated based on the values of PMD corresponding to the sensitive ones of the various points in time. An installed value of PMD for a second optical fiber is predicted based on the set of correlation coefficients.

Abstract: Providing sensor collected data. The data is related to sensor collected data. The method includes collecting sensor related data. The method further includes determining a state of an anticipated recipient of the collected sensor related data. The method further includes, based on the state of the anticipated recipient, determining a representation of the sensor collected data. The method further includes sending the sensor collected data in the determined representation.

Abstract: 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.

Abstract: An extended Kalman filter (EKF) is combined with a fixed epoch smoother (FES) to produce a new variable lag smoother (VLS). The fixed epoch lags EKF measurement time-tags with variable time lag. The combination of EKF and FES is referred to herein as a variable lag smoother (VLS).

Abstract: Disclosed are computational features in a system for the evaluation of players and non-player factors in a team game.

Abstract: A method of measuring parameters of a gas turbine flow path is described. The method includes installing along one or more existing struts in the gas turbine flow path a first plurality of sensors for measuring a first parameter at one or more radial positions along the one or more struts and a second plurality of sensors for measuring a second parameter at one or more radial positions along the one or more struts. The method further includes producing an actual profile of the gas turbine flow path first parameter and second parameter.

Abstract: The present invention relates generally to statistics and calibration of instruments. More particularly, the invention encompasses the use of statistics to determine calibration of instruments. The present invention is also directed to a remote system for determination of re-calibration of instruments. The present invention also teaches the use of multiple statistical tests to determine need for calibration. The invention also includes a novel use of tests, such as, the F-Test, the Z-Test, to determine need for calibration. Furthermore, this invention relates to an alternate instrument scheme consisting of the use of redundant sensors and statistical analysis to avoid unnecessary calibrations and to detect sensors that are starting to drift before they go out of calibration. With this invention reduced calibration cost, increased data integrity, and reduced off-spec uncertainty is achieved.

Abstract: Methods for modeling a random variable with spatially inhomogenous statistical correlation versus distance, standard deviation, and mean by spatial interpolation with statistical corrections. The method includes assigning statistically independent random variable to a set of seed points in a coordinate frame and defining a plurality of test points at respective spatial locations in the coordinate frame. A equation for a random variable is determined for each of the test points by spatial interpolation from one or more of the random variable assigned to the seed points. The method further includes adjusting the equation of the random variable at each of the test point with respective correction factor equations.

Abstract: Random utility generation technology, in which configuration data that is descriptive of benchmark program complexity and scale is accessed and configuration parameters used in generating random benchmark programs are set based on the accessed configuration data. Predefined code elements that are used in generating random benchmark programs are accessed and a random benchmark program that has the benchmark program complexity and scale is constructed based on the accessed code elements and the set configuration parameters.

Abstract: 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.

Abstract: A computer readable non-transitory medium storing a design aiding program causes a computer to execute a process of determining worst-case corner candidates for each of a plurality of condition sets. The design aiding program causes the computer to execute a process of mapping the worst-case corner candidates that are within an allowable range. The design aiding program causes a computer to execute a process of determining the worst-case corner candidates that minimize the number of the worst-case corner candidates mapped to the condition sets by handling the worst-case corner candidates thus mapped as a single worst-case corner candidate to be worst-case corners.

Abstract: Systems and methods enable displaying an indication of traffic quality. The system retrieves keyword or other traffic data for at least one keyword associated with at least one search engine. The system compares the traffic data for a first time period to the traffic data for a second time period, according to one or more date ranges and other parameters selected by a user for each time period. As a result of the comparison, an indication of the traffic quality associated with a disparity between the first time period data and the second time period data, if any, is displayed.

Abstract: 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.

Abstract: Physical models of wells are used to determine rate and phase composition for fluid produced from or injected into the wells on a near real time and continuous basis. The method can be used to alert operators or others of conditions in a well or field to permit more immediate response. The method can be more tolerant of sensor faults, sensor drift, anomalous data or other occurrences which could otherwise lead to incorrect output. More than one model can be used to permit a hierarchy of calculation such that the rate and phase determination is more tolerant of anomalous data. The calculated rate and phase values from one or more wells can be reconciled against facility data.

Abstract: A method and apparatus for wavelet based elemental spectrum analysis is described. The system and method set forth allows for elemental decomposition of sampling spectral data to determine the presence of materials in the interrogated object. The method utilized and set forth implements wavelet decomposition of a spectrum and elemental analysis without requiring an empty background spectrum for subtraction of the background noise from the sampling spectrum. The system and method measures the presence of elements present in the sample being analyzed. The system may also measure the ratio of elements present in the sample being analyzed.

Abstract: A sound source location is estimated by particle filtering where a set of particles represents a probability density function for a state variable comprising the sound source location. The method includes determining the weight for a particle in response to a correlation between estimated acoustic transfer functions from the sound source to at least two sound recording positions. A weight update function may specifically be determined deterministically from the correlation and thus the correlation may be used as a pseudo-likelihood function for the measurement function of the particle filtering. The acoustic transfer functions may be determined from an audio beamforming towards the sound source. The audio weight may be combined with a video weight to generate a multi-modal particle filtering approach.