Abstract: The present invention provides a method for implementing a multi-stage spatial sampling strategy to select optimal sampling locations and determine an optimal sampling density for a quantification of mass discharge uncertainty in a field. The present invention also provides systems and methods for estimating probability of a mass discharge in a control plane.

Abstract: A system is provided for facilitating the development of an individualised treatment regimen for a patient based on an evaluation of the risk(s) associated with a disease and/or associated with known treatment options. In order to evaluate these risk(s), the system utilises clinical data from a plurality of patients having the disease in question. The clinical data includes information for each of the plurality of patients relating to the presence, absence and/or severity of one or more negative events. The negative event(s) can be disease-related, for example, a complication such as metastasis of a cancer to bone or the brain, or the negative event(s) can be treatment-related, for example a toxicity associated with the treatment. The system can also include prediction models that allow the probability that a patient will develop a toxicity or complication to be assessed. Methods for developing prediction models are provided.

Abstract: Provided are a method and apparatus for selecting pharmacogenomic markers. The method includes calculating evaluation indexes for evaluating the degree of association between genetic markers of genes associated with at least one drug and the drug, and selecting some of the genetic markers based on the calculated evaluation indexes.

Abstract: A water leakage-acoustic sensing method in a steam generator of a sodium-cooled fast reactor, the method including: calculating a standard deviation and an average of an octave band by octave band analysis of an input signal sound received from at least one predetermined acoustic sensor; comparing the calculated standard deviation and the calculated average of the octave band, and determining a size of the octave band based on a comparison result; calculating an average of standard deviations of the octave band recomposed by the determined size and normalizing the average of standard deviations; applying a predetermined weight, established by a predetermined neural network learning algorithm, to the normalized average of standard deviations; and generating leakage determination data based on the average of standard deviations to which the weight is applied.

Abstract: A computer which functions by a performance prediction program for a ground source heat pump system of the present invention and a performance prediction system constructed thereby include a dimensionless distance calculating means, a first dimensionless time calculating means, a second dimensionless time calculating means, a boundary time acquiring means, an underground temperature change calculating means, and a tube surface temperature change calculating means. The performance prediction program and performance prediction system can be applied to the design of heat exchange system by obtaining predicted underground temperature data for the ground source heat pump system with high accuracy and predicting the performance for the ground source heat pump system based on the resulting underground temperature changes, etc., in view of the use of a plurality of buried tubes, underground temperature change patterns for buried tubes placed at different intervals, and the use of U-shaped tube heat exchangers.

Abstract: The present application relates to a method of splitting a fault condition including receiving evidence observations of a monitored system from monitors connected in a many-to-many relationship to the failure modes, generating a fault condition, computing a relative probability of failure for each failure mode in the fault condition. When there is more than one failure mode in the fault condition, the method includes computing a relative probability of each pair of failure modes in the fault condition, ranking the computed relative probabilities of the individual failure modes and the computed relative probabilities of the pairs of failure modes. If the highest ranked failure mode is a pair of failure modes, the fault condition is split based on the failure modes in the highest ranked pair of failure modes are split. If the highest ranked failure mode is an individual failure mode, a failure is isolated based on the ranking.

Abstract: Methods and systems for determining information about a sample are disclosed. The methods can include measuring spectral information for the sample and determining a quantity related to a signal-to-noise ratio for the spectral information, repeating the measuring and determining until a value of the quantity is beyond a threshold value, and comparing the spectral information to reference information to determine the information about the sample.

Abstract: Methods and devices to detect analyte in body fluid are provided. Embodiments include receiving one or more analyte sensor data, receiving a reference measurement value associated with an analyte level, determining a sensitivity parameter based on the received one or more analyte sensor data and the reference measurement value, performing a probability analysis based on prior analyte sensor data to determine presence of signal attenuation, and generating an output value based on the probability analysis.

Abstract: A computer implemented stochastic inversion method for estimating model parameters of an earth model. In an embodiment, the method utilizes a sampling-based stochastic technique to determine the probability density functions (PDF) of the model parameters that define a boundary-based multi-dimensional model of the subsurface. In some embodiments a sampling technique known as Markov Chain Monte Carlo (MCMC) is utilized. MCMC techniques fall into the class of “importance sampling” techniques, in which the posterior probability distribution is sampled in proportion to the model's ability to fit or match the specified acquisition geometry. In another embodiment, the inversion includes the joint inversion of multiple geophysical data sets. Embodiments of the invention also relate to a computer system configured to perform a method for estimating model parameters for accurate interpretation of the earth's subsurface.

Abstract: Provided is an evaluation apparatus that evaluates a characteristic of a propagation apparatus propagating a signal, comprising an output signal measuring section that measures a probability density function expressing a probability density distribution of jitter of an output signal passed by the propagation apparatus; an isolating section that isolates at least one of a random component of a jitter component and a deterministic component of the jitter component in the jitter of the output signal, from the probability density function of the jitter of the output signal; and an evaluating section that evaluates the characteristic of the propagation apparatus based on the jitter component isolated by the isolating section.

Abstract: A method for retrodicting source-rock quality and/or paleoenvironmental conditions are disclosed. A first set of system variables associated with source-rock quality is selected (705). A second set of system variables directly or indirectly causally related to the first set of variables is also selected (710). Data for variables selected to be known quantities are estimated or obtained (720). A network with nodes including both sets of variables is formed (715). The network has directional links connecting interdependent nodes (715). The directional links preferably honor known causality relations. A Bayesian network algorithm is used with the data to solve the network for the unknown variables and their associated uncertainties (725). The variables selected to be unknowns can be input nodes (paleoenvironmental conditions), intermediate nodes, output nodes (source rock quality), or any combination thereof.

Abstract: A technical installation contains several systems for resolving different system management tasks. Information variables are hierarchically arranged in the systems. A value of an information variable pertaining to the lowest hierarchical level triggers an event and pertains to a significant range of values. The value and the appurtenant location are found by specifically tracking all systems.

Abstract: An improved methodology for managing hydrocarbon exploration of at least one prospect. The methodology involves iterative processing that allows decision makers to iterate on assumptions and refine underlying probabilistic models as well as optimize the set of recommended exploration activities that are to be performed over time as additional knowledge is gained.

Abstract: A method for drilling a well, the method including: identifying another well proximate to the well being drilled; collecting spatial information for at least a portion of the another well and the well being drilled; estimating a trajectory for at least a portion of the well being drilled and the another well; estimating an uncertainty in spatial information for each trajectory; estimating a probability of a collision with the another well during the drilling of the well by integrating a probability density function using the uncertainties and the trajectories; and performing the drilling in a manner that limits the probability of collision. A system and another method are provided.

Abstract: The present invention provides processes employing algorithms and methods for calculating particle size distribution. In particular, the present invention provides processes employing algorithms and methods for calculating particle size distribution of different particle shapes from chord length distributions.

Abstract: The present invention is generally directed to powerful and flexible methods and systems for consensus sequence determination from replicate biomolecule sequence data. It is an object of the present invention to improve the accuracy of consensus biomolecule sequence determination from replicate sequence data by providing methods for assimilating replicate sequence into a final consensus sequence more accurately than any one-pass sequence analysis system.

Abstract: A system and a method are provided to quantitatively analyze the risk for a risk-based testing of software having at least one module. The risk-based testing comprises obtaining behavior of each module to a set of test cases. The method to quantitatively analyze the risk comprises assigning a confidence weight to each test case for each module based on its test history, assigning a confidence weight to each of a plurality of software specific parameters for each module, calculating a raw confidence level for each module based on the assigned confidence weights to the test cases, and calculating a confidence quotient for each module as a weighted sum of the raw confidence level for each module and the confidence weight for each software specific parameter. The confidence quotient indicates the risk of defects in each module. The module with the smallest confidence quotient is assigned the highest priority during the testing of the software.

Abstract: Aspects of the present invention describe an apparatus and method for generating genotype calls for a sample. The genotyping initially models allelic signal response into an allelic model having one or more model parameters for an identified one or more sources of systematic variation. The model and parameters are then used to transform the allelic signals to a normalized normalized allelic space that serves to compensate for the one or more sources of systematic variation. By compensating for the systematic variation in this manner, the genotype for the sample is readily determined based upon its relationship to the representation of the allelic signals in normalized allelic space and in accordance with the allelic model.

Abstract: A parametric test time reduction method for reducing time expended to conduct a test program flow on a population of semiconductor devices, the test program flow comprising at least one parametric test having a specification which defines a known pass value range characterized in that a result of the test is considered a passing result if the result falls within the known pass value range, the method comprising, for at least one parametric test, computing an estimated maximum test range, at a given confidence level, on a validation set comprising a subset of the population of semiconductor devices, the estimated maximum test range comprising the range of values into which all results from performing the test on the set will statistically fall at the given confidence level, the validation set defining a complementary set including all semiconductors included in the population and not included in the validation set; and at least partly disabling the at least one parametric test based at least partly on a compar

Abstract: 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.

Abstract: A method and a valve arrangement are disclosed for pressure-sensor diagnosis of an operating state of a valve arrangement for controlling a process medium flow, in which a valve element, which is arranged such that it can move axially within a valve housing, is moved by application of control pressure, with the control pressure being determined in the starting and/or stopped phase of the valve element in order to determine static friction. A pressure rise value of control pressure required to start movement of the valve element is measured repeatedly and successively after the movement of the valve element has been stopped. The measured pressure rise values are temporarily stored in a memory unit. A diagnosis unit accesses the pressure rise values in order to determine a probable influence of the static friction on the movement of the valve element, by statistical analysis.

Abstract: The present invention pertains to methods for monitoring a thermoelectric heating and cooling device (103, 203, 303) of a system (100, 200, 300) for cycling liquid reaction mixtures through a series of temperature excursions, comprising applying a first quantity selected from an electric current and an electric voltage to, in a first case, said heating and cooling device (103, 203) or, in a second case, to a portion (314) of said heating and cooling device (303), and measuring a second quantity selected from the non-selected first quantity and temperature to obtain a first test value; applying the selected first quantity to, in the first case, another thermoelectric heating and cooling device (104, 204) or, in the second case, another portion (315) of the heating and cooling device (303) and measuring the second quantity to obtain a second test value; determining a monitoring value based on a comparison of said first and second test values; and comparing said monitoring value with a pre-defined threshold valu

Abstract: A multidimensional sensor data analyzer that includes: discretizing values in multidimensional sensor data at index locations in value surfaces that reside in a multidimensional value space; deriving surface components resulting from the intersection of a geometric beam shape function that describing the sensor beam with the value surfaces; determining minimum-maximum index location limits for the surface components; determining surface component index points by identifying the index locations that are located within the minimum-maximum index location limits for the surface components; and generating a beam value by performing a beam function using the values at the surface component index points.

Abstract: A testing method includes: storing QC data for each of electronic device manufacturing processes in a storage unit; changing the QC data for each of the processes to a common fixed form of data; providing a contour for the QC data for each of the processes using the common fixed form of data; comparing a singularity map to a failure generation map for a completed device; and finding a causal process for a failure and a defect through the comparison.

Abstract: A system is disclosed for scaling performance indicators of control applications in an environmental control system. The system is configured to identify a probability distribution that is characteristic of a fault-free environmental control system and to use the probability distribution of a fault-free environmental control system in calculations to display probability distributions of data from first and second control applications on a common scale.

Abstract: A method of predicting weather-exacerbated threats, said method comprising inputting localized weather measurement data into a weather threat prediction system; predicting future localized weather conditions based on said localized weather measurement data combined with modeling from National Weather Service Data; inputting natural environment and infrastructure data into said weather threat prediction system; correlating said infrastructure data with said predicted future localized weather conditions; and determining a threat level index over a region, a threat level indicating an area having a certain probabilistic likelihood of being harmed by said future weather conditions.

Abstract: The invention relates to a method of qualifying the variability of the composition of an effluent, in which method a series of measurements is effected over time of at least one first and one second parameter of the effluent. The invention is characterized in that, in each time step, first and second derivatives of the parameters are determined, first and second logical domains are defined, probabilities of the first derivatives belonging to the first logical domains are assigned, probabilities of the second derivatives belonging to the second logical domains are assigned, global logical domains are defined, global probabilities of belonging to the global logical domains are assigned, and the variability of the composition of the effluent is qualified on the basis of these global probabilities of belonging to the global logical domains.

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

Abstract: A system and method for determining non-linear load harmonics impact on the voltage distortion at the point of common coupling is disclosed. Briefly described, one embodiment is a method comprising metering voltage on an electric power system; metering current on the electric power system; determining a predicted voltage based upon the metered current; comparing the predicted voltage with the metered voltage; and determining a harmonic voltage component using a plurality of weights determined when the predicted voltage converges with the metered voltage.

Abstract: A method and apparatus are described for determining a threshold, including selecting a desired false result probability, and selecting a threshold value from a threshold table corresponding to the desired false result probability. Also described are a method and apparatus for determining a threshold corresponding to a desired false result probability, including calculating a false result probability, calculating a difference value between the calculated false result probability and the desired false result probability, comparing the difference value to a first predetermined value and comparing the difference value to a second predetermined value if a result of the first comparing act is positive.

Abstract: Computer-implemented systems and methods for providing a forecast using time series data that is indicative of a data generation activity occurring over a period of time. Candidate models and candidate input variables are received. For each candidate model, transfer functions are determined for the candidate input variables in order to relate a variable to be forecasted to the time series data. For each candidate model there is a selection of which of the candidate input variables to include in each of the candidate models based upon the determined transfer functions. A model is selected from the candidate models to forecast the time series data using the selected input variables of the selected model.

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

Abstract: Disclosed herein is a method of finding an isotopic cluster in a polypeptide and determining the monoisotopic mass of the cluster. The method comprises an algorithm for finding an isotopic cluster based on a probabilistic model, defined by each of peaks in the isotopic cluster, and determining the monoisotopic mass of the isotopic cluster. The probabilistic model of the isotopic cluster includes characteristic functions for mass, that is, a function of the ratio of two peak intensities, and a function of the product of two ratios obtained from three peaks. These characteristic functions for mass define the shape of peaks acceptable in an actual isotopic cluster for the mass of any isotopic cluster. The algorithm of finding the isotopic cluster based on the functions uses the characteristics to score the degree of the approximation of any isotopic cluster to the spectral shape of a theoretical cluster.

Abstract: The invention provides methods for providing information on the probability of DNA samples being contaminated over days, weeks and months in relation to collection, processing and analysis of DNA samples. Methods are also provided for analysing the likelihood of a result arising due to contamination and/or determining the analysis protocol to be applied to a DNA sample and/or methods of operating databases, particularly containing DNA profiles. Improvements in accounting for sporadic and undetected contamination and improvements in the operation of DNA sampling of analysis are provided by the invention.

Abstract: Probabilistic methods and apparatus to determine the state of a media device are described. An example method to determine the state of a media device includes processing a first output signal from a first sensor measuring a first property of the media device to generate a first parameter value and processing a second output signal from a second sensor measuring a second property of the media device to generate a second parameter value. Next, the example method includes combining first conditional probabilities of the first parameter value and the second parameter value to determine a first state probability for the first state of the media device and combining second conditional probabilities of the first parameter value and the second parameter value to determine a second state probability for the second state of the media device. Then, determining the state of the media device by selecting the greater of the first state probability or the second state probability.

Abstract: A method and system for estimating a magnitude of extremely rare events upon receiving a complete data sample and a specific exceedance probability are described. A distribution is chosen for a complete data sample. An optimal subsample fitted to the distribution is obtained. The optimal subsample is a largest acceptable subsample. A subsample is considered as an acceptable subsample when a goodness-of-fit test on the subsample is satisfactory (i.e., higher than a predetermined threshold). In addition, if a tail measure of an acceptable subsample lies outside a confidence interval of any smaller acceptable subsample, the acceptable subsample is considered as an unacceptable. Based on the optimal subsample and an inputted exceedance probability, a quantile estimate is computed, e.g., by executing an inverse of a cumulative distribution function of generalized Pareto distribution.

Abstract: Provided is a deterministic component model determining apparatus that determines a type of a deterministic component included in a probability density function supplied thereto, comprising a standard deviation calculating section that calculates a standard deviation of the probability density function; a spectrum calculating section that calculates a spectrum of the probability density function; a null frequency detecting section that detects a null frequency of the spectrum; a theoretical value calculating section that calculates a theoretical value of a spectrum for each of a plurality of predetermined types of deterministic components, based on the null frequency; a measured value calculating section that calculates a measured value of the spectrum for the deterministic component included in the probability density function, based on the standard deviation and the spectrum; and a model determining section that determines the type of the deterministic component included in the probability density function

Abstract: Embodiments of the present invention provide a method implemented by a computer program for detecting and identifying valve failure in a reciprocating compressor and further for predicting valve failure in the compressor. Embodiments of the present invention detect and predict the valve failure using wavelet analysis, logistic regression, and neural networks. A pressure signal from the valve of the reciprocating compressor presents a non-stationary waveform from which features can be extracted using wavelet packet decomposition. The extracted features, along with temperature data for the valve, are used to train a logistic regression model to classify defective and normal operation of the valve. The wavelet features extracted from the pressure signal are also used to train a neural network model to predict to predict the future trend of the pressure signal of the system, which is used as an indicator for performance assessment and for root cause detection of the compressor valve failures.

Abstract: Systems and methods for diagnosing gas turbine engine faults are provided. In this regard, a representative method includes: dynamically assessing detected symptoms based, at least in part, on failure rates of components of the gas turbine engine as functions of usage of the components such that suspected faults are identified.

Abstract: A systematic method for detecting trends based on outcomes generated by a first process, comprising: (a) determining all possible outcomes associated with the first process, wherein the first process is associated with a range of possible outcomes; (b) coding the possible outcomes to provide a plurality of separate groups, wherein each possible outcome is systematically allocated to one of the groups; (c) allocating an identifier to each of the groups; (d) monitoring in real time the first process such that actual outcomes generated by the first process are mapped to an identifier in accordance with coding step (b); (e) providing a matrix comprised of a plurality of cells arranged in rows; (f) allocating each identifier generated in step (d) to said matrix in accordance with the exeleon allocation procedure; and (g) repeating step (f) until a trend of duplicating identifiers becomes self evident.

Abstract: The present invention provides a fault diagnosis device for optimizing maintenance measures in a system, in particular a flying object. The diagnosis device has a storage unit for storing diagnosis rules, which each have a fault condition indicating the presence of a fault, and a fault conclusion formed by logical combinations of potential fault causes of the respective fault. Furthermore, a logic unit is provided, which logically combines those stored fault conclusions whose associated fault conditions are met and, on the basis of the combined fault conclusions, determines a logical diagnosis result having at least one fault cause hypothesis. A calculation unit subsequently calculates an occurrence probability for each fault cause hypothesis of the logical diagnosis result determined.

Abstract: Based on the time series data from multiple components, the systems administrator or other managing entity may desire to find the temporal dependencies between the different time series data over time. For example, based on actions indicated in time series data from two or more servers in a server network, a dependency structure may be determined which indicates a parent/child or dependent relationship between the two or more servers. In some cases, it may also be beneficial to predict the state of a child component, and/or predict the average time to a state change or event of a child component based on the parent time series data. These determinations and predications may reflect the logical connections between actions of components. The relationships and/or predictions may be expressed graphically and/or in terms of a probability distribution.

Abstract: A system for screening nucleotide sequences, a method therefor, a program, a recording medium, and a server on which the screening of nucleotide sequences is executed. The solution comprises a step of storing target nucleotide sequence data and a probe nucleotide sequence, a step of generating complementary sequence data from a probe nucleotide sequence that may be bound to the target nucleotide sequence, and storing a maximum acceptable edit distance between the target nucleotide sequence and the probe nucleotide sequence, a step of reading out each nucleotide sequence data and the maximum edit distance from each storing unit, and evaluating the binding possibility of the target nucleotide sequence data and the complementary sequence data in descending order of edit distance, and a step of storing the result of the binding evaluation in a storage unit.

Abstract: A system for preserving process variable data relating to the operation of a process is provided. The system is adapted to preserve process variable data obtained before, during, and after the occurrence of an abnormal situation or event. The preserved process variable data maybe communicated from smart field devices or other intelligent equipment relating to the control of the process to a process controller or other higher level control device. The process controller or other higher level control device may then cause the preserved data to be displayed for an operator or other maintenance personnel. The preserved data may also be provided to other process control modules or abnormal situation prevention systems for further analysis to develop methods for preventing the abnormal situation from recurring in the future, or for taking additional steps based on the abnormal situation data to minimize or prevent a further deterioration of the process operation.

Abstract: A method and a processing device are provided for forecasting whether a record of data for an individual is associated with an outcome. Whether an n-gram associated with one of a group of predictors matches an n-gram included in the record of data is determined. When the n-gram included with the one of the group of predictors matches the n-gram in the record of data, a prediction is made as to whether the record of data is associated with the outcome based on a value assigned to the one of the group of predictors.

Abstract: A multidimensional sensor data analyzer that includes: discretizing values in multidimensional sensor data at index locations in value surfaces that reside in a multidimensional value space; deriving surface components resulting from the intersection of a geometric beam shape function that describing the sensor beam with the value surfaces; determining minimum-maximum index location limits for the surface components; determining surface component index points by identifying the index locations that are located within the minimum-maximum index location limits for the surface components; and generating a beam value by performing a beam function using the values at the surface component index points.

Abstract: A Method for self controlled early detection and prediction of a performance shortage of an application is described comprises the steps of monitoring at least one performance parameter of the application, storing performance data including a time dependency of said performance parameter, using said performance data to compute a mathematic function describing a time dependent development of said performance parameter, using said mathematical function to compute a point in time when the performance parameter exceeds a certain threshold, and generating and outputting a prediction comprising information that a performance shortage of the application is expected at said computed point in time, if said point in time lies within a settable timeframe.

Abstract: The present invention provides a risk management tool and method for creating an improved initial risk management process that captures, assesses, and prioritizes risks and implements mitigation plans to more effectively manage risk in large-scale development projects. A web-based system allows users and management to share and access risk information to more readily identify and assess risks, develop mitigation plans and track the risk management process. The tool and specifically the Pf and Cf tables are tailored to each project to more accurately calculate and prioritize risk factors RF and thus anticipate and minimize or eliminate risks before they occur. The demonstrated value of the tool is found in timely deliveries and a reduction of cost overruns as well as an increase in customer enhanced award fees.

Abstract: A method of monitoring radioactive emissions which includes obtaining a data set, the data set including a record of an event together with an indication of the time of the event and/or the detector which detected the event. The method also includes processing the data set by analyzing the whole of the data set according to a first set of criteria to provide a first analysed data set and analysing the whole of the data set according to a second set of criteria to provide a second analysed data set, one or more criteria of the second set being different to the criteria of the first set. The first set of criteria and the second set of criteria both include a first time period and a second time period.

Abstract: The present application includes biomarkers, methods, devices, reagents, systems, and kits for the detection and diagnosis of ovarian cancer. In one aspect, the application provides biomarkers that can be used alone or in various combinations to diagnose ovarian cancer or permit the differential diagnosis of a pelvic mass as benign or malignant. In another aspect, methods are provided for diagnosing ovarian cancer in an individual, where the methods include detecting, in a biological sample from an individual, at least one biomarker value corresponding to at least one biomarker selected from the group of biomarkers provided in Table 1, wherein the individual is classified as having ovarian cancer, or the likelihood of the individual having ovarian cancer is determined, based on the at least one biomarker value.