Abstract: 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.

Abstract: The present invention provides a method of calculating a surface shape of a target surface, including the steps of defining, as a measurement target region, each of a plurality of regions on the target surface in which adjacent regions overlap each other, and obtaining data that give the heights at the plurality of positions in each of the plurality of regions, and removing, for each of the plurality of regions, an average data from the data that are obtained in the step of obtaining the data and give the heights at the plurality of positions in each of the plurality of regions, thereby generating correction data for each of the plurality of regions.

Abstract: 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.

Abstract: Sampling analysis includes classifying a plurality of query keywords into a plurality of query keyword subsets according to page view (PV) values associated with the plurality of query keywords, the plurality of query keywords being submitted by a plurality of users; determining a respective plurality of sample rates of a respective plurality of query keywords in a respective one of the plurality of query keyword subsets; and sampling query data in the respective one of the plurality of query keyword subsets according to the respective plurality of sample rates.

Abstract: The present disclosure relates to an apparatus and a method for analyzing side chains of a polymer. More specifically, the present disclosure relates to an apparatus and a method for analyzing the number of side chains of a polymer.

Abstract: An apparatus for determining the concentration of a conductive fluid present in a fluid filled bore hole is described. Such apparatus are known as water hold-up meters and are frequently used in oil, gas and water filled bore holes. In bore hole applications, data bandwidth between a down hole device and the surface can be limited, while determining water hold-up based on down hole measurements can be data intensive. A technique is proposed for calculating the water hold up that requires less data to be transmitted between the down hole device and the surface.

Abstract: Systems and methods are disclosed that monitor movement of a person, or of a vehicle ridden by the person, to determine speed, distance traveled and/or airtime of the person or vehicle. Accelerometer-based sensors, pressure sensors or Doppler sensors may be employed in these systems and methods. A liquid crystal display may attach to the person to display speed, distance traveled and/or airtime.

Abstract: A method and apparatus for carrying out noise reduction in data regarding parameter values including the steps of making a series of measurements of parameter values at times separated by predetermined time intervals, forming a plurality of successive measurements into an array of measurements, performing n successive wavelet transforms on the array of measurements to produce an array of coefficients, comparing the values of the array of coefficients to a threshold value and, selectively changing the values of the coefficients based on their relationship to the threshold, to produce an array of filtered coefficients, and performing n successive inverse wavelet transforms on the array of filtered coefficients to produce an array of filtered measurements.

Abstract: Various embodiments are generally directed to an automated A/B testing system using a combination of classical and alternative statistical analysis to control the performance A/B tests. An apparatus includes a processor circuit; and logic to commence collection of a specified number of samples of user responses to multiple versions of a user interface in a test, employ an alternative statistical analysis to analyze the samples as they are collected, determine whether a proposed version elicits a statistically significant improvement in user response over a control version, terminate the test before the specified number of samples are collected in response to a statistically significant improvement over the control version elicited by the proposed version, and complete collection of the specified number of samples and employ a classical statistical analysis to analyze the samples in response to the proposed version not eliciting the statistically significant improvement.

Abstract: A method of performing a statistical equivalence test including first deciding if process data has equivalence, non-equivalence or improvement by comparing a statistical value of the process data with a criteria statistical value, correcting the criteria statistical value using a statistical tolerance for the process data that has the non-equivalence or improvement, and second deciding if the process data that has the non-equivalence or improvement has acceptance or non-equivalence by comparing the process data that has the non-equivalence or improvement with the corrected criteria statistical value.

Abstract: An apparatus and method for a design for a computer implemented message passing methodology for solving the ridge regression that is faster, more accurate, and more efficient, and is also globally convergent, meaning it becomes more accurate with each step, ultimately reducing its margin of error to zero.

Abstract: 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.

Abstract: Techniques for automated Bayesian posterior sampling using Markov Chain Monte Carlo and related schemes are described. In an embodiment, one or more values in an accuracy phase for a system configured for Bayesian sampling may be initialized. Sampling may be performed in the accuracy phase based upon the one or more values to generate a plurality of samples. The plurality of samples may be evaluated based upon one or more accuracy criteria. The accuracy phase may be exited when the plurality of samples meets the one or more accuracy criteria. Other embodiments are described and claimed.

Abstract: 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.

Abstract: Systems and methods relate to managing an alarm clock function of a device. The systems and methods for compare a time setting of a new alarm by a user to one or more previous times settings that the alarm has been set to determine whether to warn the user about and/or require the user to confirm the time setting of the new alarm. The systems and methods can detect a user input indicating a first time setting for the alarm clock function. Further, the systems and methods can examine the one or more previous time settings associated with the alarm clock function determine, based on the one or more previous time settings, whether to query the user to confirm an activation of the alarm clock function at the first time setting.

Abstract: 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.

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: A computer-implemented method of determining actions outside of a norm is provided. The method comprises: generating an actor state vector and a peer group state vector, wherein the actor state vector identifies a characteristic for an actor in each of a plurality of categories and the peer group state vector identifies a characteristic for a peer group in each of the plurality of categories, transforming the actor state vector into a first sampled wave series representation using a first wave series transformation, transforming the population state vector into a second sampled wave series representation using a second wave series transformation, and filtering the first sampled wave series representation and the second sampled wave series representation to identify a deviation of the first wave series representation from the second wave series representation in a phase or a magnitude.

Abstract: A system for determining the amount of life consumed for a tool includes at least one sensor associated with the tool for generating observation data, a memory in operable communication with the at least one sensor, the memory including a database for storing the observation data generated by the sensor, and a processor in operable communication with the memory. The processor includes a model generator that generates a current model for a current run of the tool. The current model includes parameters of a functional approximation of the observation data. The processor also includes a classifier that classifies the current model and a current run estimator that determine the amount of life consumed based on the classification of the current model and a time of use associated with the current run.

Abstract: A fluorescence intensity calculating apparatus, includes: a measuring section configured to receive fluorescences generated from plural fluorescent dyes excited by radiating a light to a microparticle multiply-labeled with the plural fluorescent dyes having fluorescence wavelength bands overlapping one another by photodetectors which correspond to different received light wavelength bands, respectively, and whose number is larger than the number of fluorescent dyes, and obtain measured spectra by collecting detected values from the photodetectors; and a calculating section configured to approximate the measured spectra based on a linear sum of single-dyeing spectra obtained from the microparticle individually labeled with the fluorescent dyes, thereby calculating intensities of the fluorescences generated from the fluorescent dyes, respectively.

Abstract: A system that incorporates teachings of the present disclosure may include, for example, obtaining regression coefficients that quantify a relationship between premises feedback and first network and premises performance indicators, obtaining second network performance indicators for the network elements, obtaining second premises performance indicators for the customer premises equipment, and predicting customer complaints by applying the obtained regression coefficients to at least the second network performance indicators and the second premises performance indicators. Other embodiments are disclosed.

Abstract: A method and apparatus are provided for predicting the outcome of a project and, if needed, increasing its likelihood of success. Numerical values are assigned to a set of predetermined factors affecting the outcome of the project. The values are assigned based on a subjective evaluation of each factor with respect to the project. The factors include the duration of the project, the performance integrity of persons involved in implementing the project, the perceived commitment of senior management to the project, the local commitment to the project and the effort required to implement the project. A score is calculated based on the values assigned to the factors. The score is applied to empirical data on prior project outcomes and scores to determine the probability of success of the project. If desired, project changes can be implemented and new values assigned to one or more factors to improve the score and increase the probability of success of the project.

Abstract: A computerized method for normalizing the results of clinical laboratory tests to a reference scale includes providing a measured value of a clinically significant parameter, providing a set of patient data, and providing a set of method data, including an indication of a method used by a testing instrument used to measure the measured value. One or more correlation factors are retrieved including a method correlation factor from a computer readable database based on the method data. The method correlation factor corresponds to the method used by the testing instrument used to measure the measured value. A normalized value of the clinically significant parameter is calculated based upon the one or more correlation factors. The normalized value may correspond to a value on the reference scale regardless of the method used by the testing instrument.

Abstract: There are provided computerized methods and systems of producing a single grading scale, and for using it, for grading gemstones such as diamonds based on pre-defined parameters thereof, wherein each single grade in the scale is associated with unique groups of unique value ranges of the parameters in a statistically relevant sample of gemstones, the unique groups being established at least based on an aimed statistic distribution of gemstones through the grades in the grading scale. There is also provided a gemstone grading report comprising indication of a grade for the gemstone in the single grading.

Abstract: A charge calibrator for simulating the output of a scintillation detector. The calibrator includes a processor for executing a Gaussian random number generator algorithm to produce an output comprising a Gaussian random number distribution having at least one characteristic established in response to a user input.

Abstract: A method and system for characterizing formation fluids contaminated with drilling mud that compensates for the presence of such drilling mud. The operations that characterize formation fluids contaminated with drilling mud can be carried out in real-time. The operations also characterize a wide array of fluid properties of petroleum samples contaminated with drilling mud in a manner that compensates for the presence of drilling mud. The operations characterize the viscosity and density of petroleum samples contaminated with drilling mud at formation conditions in a manner that compensates for differences between formation conditions and flowline measurement conditions. The operations also derive live fluid density unaffected by contamination of mud filtrate based on a scaling coefficient dependent on measured gas-oil ratio of the formation fluid.

Abstract: Computer-implemented systems and methods are provided for generating corrected performance data of water flooding of an oil reservoir system based on application of a statistical correction factor methodology (SCF). For example, data related to properties of the oil reservoir system and data related to a water flooding scenario are received. Water flooding performance data is generated based on application of an analytical water flooding performance computation methodology. Based on application of the SCF methodology to the generated water flooding performance data, corrected water flooding performance data is determined, representative of oil recovery by the water flooding of the oil reservoir system. The SCF methodology can also be used to evaluate water production based on parameters such as water-oil ratio and water cut, identify possible analog reservoirs that have similar water production performance, and calculate a Gross Injection Factor to account for water loss in the reservoir.

Abstract: For multi-dimensional temporal-spatial data, EEMD is applied to time series of each spatial location to obtain IMF-like components of different time scales. All the ith IMF-like components of all the time series of all spatial locations are arranged to obtain ith temporal-spatial multi-dimensional IMF-like component. For two-dimensional spatial data or images, the two-dimensional spatial data or images are consider as a collection of one-dimensional series in first direction along locations in second direction. The same approach to the one used in temporal-spatial data decomposition is used to obtain the resulting two-dimensional IMF-like components. Each of the resulted IMF-like components are taken as the new two-dimensional data for further decomposition, but the data is considered as a collection of one-dimensional series in second-direction along locations in first-direction.

Abstract: 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.

Abstract: A system for obtaining and presenting statistical information about people and articles as well as establishing anonymous communities among people that share one or more personal traits. Users may create a personal profile containing user selected personal information. Users may also vote on various polls. Users may create visual representations such as graphs and tables correlating user selectable data from the information within databases storing user personal profile information, user voting history, time, and others.

Abstract: Normalization coefficients in are computed for positron emission tomography (PET) continuous bed motion acquisition (CBM). The normalization coefficients for the lines-of-response in CBM account for the change in decay of the injected isotope over time and/or changes in velocity of the bed motion.

Abstract: Systems and methods for performing data anomaly detection and/or removal are usable to accurately assess baseline power consumption. According to one embodiment of the invention, a system can be provided. The system can be operable to receive energy consumption data of a location; select, based at least in part on a collection period of the energy consumption data, an algorithm for detecting anomalies in the energy consumption data; perform the algorithm on the energy consumption data to detect the anomalies in the energy consumption data; and determine an energy consumption baseline for the location based at least in part on a result of the algorithm.

Abstract: A computer utilization report presents utilization data in tabular form so that utilization data for different time frames can be readily compared. The time frames include long and short continuous time frames, as well as at least one periodic discontinuous time frame.

Abstract: A computer-implemented method to provide stabilized and spatially smooth regression coefficients for weather forecast error correction from small training data sets. In accordance with the present invention, an MOS estimate of the regression coefficient calculated from a small data set can be optimally combined with a smooth prior estimate of the regression coefficient, an estimate of the spatial error covariance of that prior estimate, and an estimate of the spatial error covariance of the MOS estimate. The result is a filtered MOS (FMOS) regression coefficient which can be used to more accurately estimate and correct errors in weather forecasts even using only small data sets.

Abstract: A processing apparatus including one or more processors and memory receives sensor measurements generated by one or more sensors of one or more devices, pre-classifies the sensor measurements as belonging to one of a plurality of pre-classifications, and selects one or more feature types to extract from the sensor measurements based at least in part on the pre-classification of the sensor measurements. The processing apparatus also extracts features of the one or more selected feature types from the sensor measurements and determines a state of a respective device of the one or more devices in accordance with a classification of the sensor measurements determined based on the one or more features extracted from the sensor measurements.

Abstract: It is possible to rapidly or highly accurately estimate a highly reliable offset according to situations and improve further the reliability of the estimated offset even if a measurement data is not obtained in a space in which the magnitude of a vector physical quantity to be measured is uniform. The offset included in the obtained vector physical quantity data are statistically estimated based on a predetermined evaluation formula using difference vectors. In the estimation of the offset, reliability information on a reference point is calculated based on at least one of the vector physical quantity data, the difference vectors and a plurality of estimated reference points according to a calculation parameter for calculating the reliability information on the reference point, whether or not the reference point is reliable is determined by comparing the reliability information with a determination threshold value.

Abstract: Values of a metric are provided at irregular intervals. A forgetting factor is calculated based on a difference between the intervals, and a statistical parameter is computed using the forgetting factor that causes different weights to be placed on the corresponding values of the metric, where the statistical parameter is part of an adaptive baseline.

Abstract: A system and method to facilitate the monitoring and diagnosis of a process control system and any elements thereof is disclosed with a specific premise of abnormal situation prevention in a heat exchanger. Monitoring and diagnosis of faults in a heat exchanger includes statistical analysis techniques, such as regression and load following. In particular, on-line process data is collected from an operating heat exchanger. A statistical analysis is used to develop a regression model of the process. The output may use a variety of parameters from the model and may include normalized process variables based on the training data, and process variable limits or model components. Each of the outputs may be used to generate visualizations for process monitoring and diagnostics and perform alarm diagnostics to detect abnormal situations in the heat exchanger.

Abstract: (EN) The invention relates to a method for estimating the characteristic parameters of a cryogenic tank (1), in particular geometric parameters, including: a step comprising the measurement of the pressure differential between the upper and lower parts of the tank prior to filling DPmes—before; a step comprising the measurement of the pressure differential between the upper and lower parts of the tank after filling DPmes—after; a step comprising the determination of the mass of liquid delivered (mdelivered) during filling; and a step comprising the calculation of a first geometric parameter (R) of the tank, namely the radius (R) which is calculated from equation (I), wherein g is the Earth's gravitational acceleration and MAVO is a density coefficient that is a function of the density of the liquid and the gas in the tank and optionally in the pressure measuring pipes (11) when the pressure differential is measured by at least one remote pressure sensor connected to the upper and lower parts of the tank via r

Abstract: The present invention provides, inter alia, methods of characterizing a small molecule organic material, e.g., a drug or a drug product. This method includes subjecting the solid small molecule organic material to x-ray total scattering analysis at a short wavelength, collecting data generated thereby, and mathematically transforming the data to provide a refined set of data.

Abstract: 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 front 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 eliminated.

Abstract: A method for analyzing spatial point patterns and visualizing the results is presented. The method includes simulating at least one point set within a region using a point process, dividing the region into a plurality of elements, determining scores for both real data and simulated data for each element by weighting the point sets within a domain of a predetermined kernel. The method further includes comparing scores for each element, computing confidence intervals for at least one confidence level having a predetermined statistical significance; and providing a visualization to identify clusters and exclusion zones.

Abstract: Methods and devices relating to measuring a landing position and mass of an analyte adsorbed to a nanomechanical resonator by resolving adsorbate-induced frequency shifts in at least two modes of a resonator resonance frequency, where during the resolving of the frequency shifts in the at least two modes analysis is so that the transformation (G) from the fractional-frequency shift pair to the analyte mass-position pair is one-to-one. Complex protein mixtures can be analyzed at high sensitivity and resolution.

Abstract: A method includes receiving location data of a monitoring device when carried by a user and receiving motion data of the monitoring device. The motion data is associated with a time of occurrence and the location data. The method includes processing the received motion data to identify a group of the motion data having a substantially common characteristic and processing the location data for the group of the motion data. The group of motion data by way of processing the location data provides an activity identifier. The motion data includes metric data that identifies characteristics of the motion data. The method includes transferring the activity identifier and the characteristics of the motion data to a screen of a device for display. The activity identifier being a graphical user interface that receives an input for rendering more or less of the characteristics of the motion data.

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: Architecture that addresses security concerns while still providing transparent user experience with ability to perform tasks. When a user machine is considered incompliant or compromised due to, for example, a suspected infection, the user machine can be blocked from further access to a network or other computing hosts until the incompliance is resolved. A notification is presented that indicates the nature of the problem, and a way to access an automatically configured isolated environment via which to continue working. The user can be automatically routed to use the alternative isolated environment for temporary access to network resources. Once the user finishes activities in the isolated environment, the system hosting the isolated environment is reverted back to a known good state.

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

Abstract: A method and system for predicting prospective behavior of a manufacturing process are described. Measured values of multiple variables, including at least one dependent variable, are received. A partial least squares (PLS) regression approach is used to estimate an unknown future value of the at least one dependent variable at a future point in time in a current batch run.

Abstract: 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.

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.